KR102643837B1 - Intelligent system for controlling floor air conditioning in refrigeration warehouse and method for controlling the same - Google Patents

Abstract

The present application relates to an intelligent frozen warehouse floor air conditioning control system and a control method thereof. The intelligent frozen warehouse floor air conditioning control system is provided at the bottom of the floor in a target frozen warehouse, is controlled by a control device, and is installed on the outside of the target frozen warehouse. A floor air conditioning device that controls the temperature and humidity of the air to generate processed outdoor air, supplies the processed outdoor air to the inside of the target frozen warehouse, and exhausts air from the target frozen warehouse to the outside of the target frozen warehouse; A critical temperature range and a critical humidity range are set based on the user input received from the user terminal, and the floor air conditioning device is installed so that the temperature and humidity inside the target frozen warehouse are within the critical temperature range and the critical humidity range, respectively. a control device that controls; And it may include a user terminal that transmits the user input regarding the critical temperature range and the critical humidity range to the control device.

Description

Intelligent refrigerated warehouse floor air conditioning control system and its control method {INTELLIGENT SYSTEM FOR CONTROLLING FLOOR AIR CONDITIONING IN REFRIGERATION WAREHOUSE AND METHOD FOR CONTROLLING THE SAME}

This application relates to an intelligent refrigerated warehouse floor air conditioning control system and its control method.

Under Floor Air Distribution (UFAD) is an air conditioning method that takes out air from the floor and uses the space below the access floor as a passage for air conditioning along with electricity and communications. The floor air conditioning method is gradually being introduced in refrigeration air conditioning because it provides superior effects in many aspects compared to the conventional ceiling air conditioning method, such as improving refrigerator efficiency because the cooling temperature is about 5℃ higher than that of ceiling air conditioning.

However, in the case of 'freezer trucks' for distributing food subject to freezing in a freezer equipped with floor air conditioning equipment, the temperature of the freezer is maintained at -12°C, so if the food is partially thawed, it may deteriorate due to deterioration. There is a problem with the proliferation of food poisoning bacteria. In addition, different freezing techniques must be used for high-moisture foods with relatively high moisture content and low-moisture foods with relatively low moisture content.

Therefore, when food subject to high moisture and food subject to low moisture are classified into target freezers, storage locations must be strictly separated, different floor air conditioning controls must be performed, and they must be handled by personnel and devices certified as having a low risk of contamination. have to lose Additionally, to prevent the growth of food poisoning bacteria, distribution must be done quickly and at low temperatures.

However, the conventional frozen warehouse was not equipped with a separate monitoring device, so it had a vulnerability that made it difficult to prevent the entry of other personnel who were not certified for hygiene. In addition, there was a problem that there was no device to prevent entry by unauthorized persons other than a lock or other locking device installed at the entrance of the target frozen warehouse. In addition, conventional food-related technologies are limited only to manufacturing technologies, and since the time of exposure to room temperature during transfer between freezers and frozen vehicles is relatively long, the technology to deal with the problem that partial thawing may occur is weak.

To solve the above-mentioned problem, there is a target freezer warehouse equipped with surveillance devices such as CCTV on the outside, but the captured video must be checked directly with the human eyes, and as with the conventional problem, when an unauthorized person intrudes, the video is filmed. The problem is that no action can be taken unless you are directly checking the video.

In addition, as with the frozen logistics warehouse fire that occurred on January 7, 2008, conventional frozen warehouses have the disadvantage of being unable to confirm and respond even if a safety accident such as a fire occurs.

The technology behind this application is disclosed in Korean Patent Publication No. 10-1212043.

The purpose of this application is to solve the problems of the prior art described above, and to provide an intelligent refrigerated warehouse floor air conditioning control system and a control method thereof that can increase the security of the target refrigerated warehouse.

In addition, the present application aims to solve the problems of the prior art described above, and provides an intelligent refrigerated warehouse floor air conditioning control system that can solve the problem of the target food being exposed to room temperature for a relatively long time when transferring the target food between the target freezer and a frozen vehicle. The purpose is to provide a control method thereof.

In addition, the present application aims to solve the problems of the prior art described above, and to provide an intelligent refrigerated warehouse floor air conditioning control system and a control method capable of quickly responding to accidents such as fires that occur in the target refrigerated warehouse. .

However, the technical challenges sought to be achieved by the embodiments of the present application are not limited to the technical challenges described above, and other technical challenges may exist.

As a technical means for achieving the above-described technical problem, the intelligent frozen warehouse floor air conditioning control system according to an embodiment of the present application is provided at the bottom of the floor in the target frozen warehouse, is controlled by a control device, and is installed at the bottom of the target frozen warehouse. A floor air conditioning device that controls the temperature and humidity of the outside air to generate processed outdoor air, supplies the processed outdoor air to the inside of the target frozen warehouse, and exhausts air from the target frozen warehouse to the outside of the target frozen warehouse; A critical temperature range and a critical humidity range are set based on the user input received from the user terminal, and the floor air conditioning device is installed so that the temperature and humidity inside the target frozen warehouse are within the critical temperature range and the critical humidity range, respectively. a control device that controls; And it may include a user terminal that transmits the user input regarding the critical temperature range and the critical humidity range to the control device.

According to an embodiment of the present application, the intelligent frozen warehouse floor air conditioning control system is installed in a target frozen warehouse, and includes a first image of a person entering the target frozen warehouse, a second image of a person coming out of the target frozen warehouse, and the target. A photographing device that captures a third image of a cold distribution drone entering a frozen warehouse and a fourth image of a cold distribution drone coming from the target frozen warehouse; At least one drone for cold distribution is controlled to transport the target food, receives an image captured by the imaging device, compares the first image with a pre-stored image of a person to be permitted to enter, and places the target food in the target freezer. It is determined whether the person entering is a person permitted to enter, and the third video is compared with the pre-stored image of the cold distribution drone to be granted entry, and the drone entering the target frozen warehouse is the cold distribution drone permitted to enter. a control device that determines whether the person or the drone is present and restricts entry and exit of the person or the drone according to the result of the judgment; And it may include at least one cold distribution drone controlled by the control device and transporting the target food between the target refrigerated warehouse and a refrigerated vehicle.

According to an embodiment of the present application, the control device receives and stores in advance an image of a person or drone to be permitted to enter the target frozen warehouse, analyzes the stored image of the person, and generates a first image analysis result, Receive and analyze the first video captured by the photographing device to generate a second video analysis result, analyze the stored drone video to generate a third video analysis result, and receive the third video captured by the photographing device. and analyze to generate a fourth image analysis result, and compare the first image analysis result and the second image analysis result to determine whether the person photographed by the imaging device is the same as the person permitted to enter the target frozen warehouse. Determine and compare the third image analysis result with the fourth image analysis result to determine whether the drone captured by the imaging device is the same drone as the cold distribution drone permitted to enter the target frozen warehouse, and the result of the judgment Based on this, determine whether to open or close the entrance of the target frozen warehouse, output a result corresponding to the determined result in a recognizable form based on the judgment result, and determine the moisture ratio and form of the target food entering the target frozen warehouse. , flavor, components, weight, and expiration date can be identified.

According to an embodiment of the present application, the control device determines the type of the target food based on the identification result, and the type of the target food includes a high-moisture target food containing moisture greater than a preset critical moisture ratio and the It includes a low-moisture target food containing moisture less than the critical moisture ratio, and the control device outputs an alarm if the type of the target food is a high-moisture target food, but the high-moisture target food to be stored in the target freezer and the Receive user input for setting the ratio of low moisture target food, and determine whether to open or close the entrance of the target freezer according to the ratio preset by the user input and the type of target food entering the target freezer. there is.

According to an embodiment of the present application, the control device receives a user input for setting the type of the first target food to be stored in the target freezer, and determines the type of the second target food to be stored in the target freezer. , Compare the type of the first target food and the type of the second target food, and open or close the entrance of the target frozen warehouse depending on whether the type of the first target food and the type of the second target food are the same. Determine, the intelligent frozen warehouse floor air conditioning control system may further include a user terminal that receives data from the control device and transmits a control signal for opening or closing the entrance of the target frozen warehouse to the control device. there is.

According to an embodiment of the present application, the user terminal is linked to the identifier of each of the plurality of target frozen warehouses, information related to the entry and exit of people in the plurality of target frozen warehouses, information about the type of target food stored, and information to be stored in the target frozen warehouse. Stores information regarding the setting of the ratio of the high-moisture target food and the low-moisture target food, and sends a control signal for opening or closing the entrance of the plurality of target frozen warehouses for each of the plurality of target frozen warehouses based on the stored information. can be created.

According to an embodiment of the present application, the control device counts the number of people entering the target frozen warehouse based on the first image, and counts the number of people leaving the target frozen warehouse based on the second image. Count, detect the number of people inside the target freezer by comparing the number of people entering the target freezer and the number of people coming out of the target freezer, and freeze the target based on the third image. Count the number of drones for cold distribution entering the warehouse, count the number of drones for cold distribution coming out of the target frozen warehouse based on the fourth video, and count the number of drones for cold distribution entering the target frozen warehouse. Detect the number of drones for cold distribution inside the target frozen warehouse by comparing the number and the number of drones for cold distribution coming from the target frozen warehouse, and detect the number of drones for cold distribution inside the target frozen warehouse detected by the control device. When the number of people and drones for cold distribution is 0, the entrance to the target frozen warehouse can be automatically closed.

According to an embodiment of the present application, the intelligent refrigerated warehouse floor air conditioning control system includes a fire detection sensor that detects fire or smoke within the target refrigerated warehouse; And it may further include a fire suppression device that performs fire suppression activities in response to the detection result of the fire detection sensor.

According to an embodiment of the present application, the intelligent refrigerated warehouse floor air conditioning control system is controlled by the fire suppression device and includes at least one fire extinguishing drone that performs the fire suppression activity, and the fire suppression device includes, Receive fire information occurring in the target refrigerated warehouse from the user terminal and the fire detection sensor, control at least one fire-fighting drone to perform fire suppression activities based on the fire information, and Evacuation request information can be transmitted to the user terminal located within a preset radius around the area, and when the fire is over, fire extinguishment completion information can be transmitted to the user terminal.

According to an embodiment of the present application, when the control device detects the loss of the cold distribution drone or the fire extinguishing drone performing fire suppression activities, the control device detects a target circuit member corresponding to the circuit member included in the lost drone. Request information requesting to manufacture a drone for cold distribution or a drone equipped with a fire extinguishing device is transmitted to the terminal of the drone manufacturer, and the request information can control the drone manufacturing system of the drone manufacturer.

According to an embodiment of the present application, if the fire has not ended and the fire extinguishing drone is completed in the drone manufacturing system according to the request information, the fire suppression device responds to the fire information by the manufactured fire extinguishing drone It can be controlled to perform the fire suppression activities for the target frozen warehouse.

According to an embodiment of the present application, the request information is provided when the drone manufacturing system acquires drawing information including shape information of the target circuit member, and generates a plurality of chips, a plurality of elements, and a plurality of devices based on the drawing information. Derive placement information about a layer, manufacture the target circuit member based on the placement information, and obtain an image of the target circuit member on which the plurality of chips, the plurality of devices, and the plurality of layers are disposed, , based on the arrangement information and the image, when detecting a defect associated with the attachment of each of the plurality of chips, the insertion of each of the plurality of elements, and the arrangement of each of the plurality of layers, the arrangement information is provided to prevent the defect. Modify to derive first modified batch information, manufacture a first modified circuit member based on the first modified batch information, and manufacture a low-temperature distribution drone or fire extinguishing drone equipped with the first modified circuit member. You can control it to do so.

According to an embodiment of the present application, the request information is collected by the drone manufacturing system, which collects a chip cutting image of a cutter that cuts a bundle of chips connected to the plurality of chips into individual chips having a certain width and a certain length, and presses. Through the fit process, chip fixation images of a press machine that fixes the plurality of chips to the target circuit member board are collected, and defects in the target circuit member board and the chip fixation are detected through the chip cutting image and the chip fixation image. When detecting a defect in the target circuit member board and the chip fixation, the arrangement information is modified to prevent defects in the target circuit member board and the chip fixation to derive second corrected arrangement information, A circuit member subject to second modification may be manufactured based on the second modification arrangement information, and a drone for low-temperature distribution or a drone for fire extinguishing equipped with the circuit member subject to second modification may be controlled to be manufactured.

According to an embodiment of the present application, the request information further collects an element cutting image of a cutter in which the drone manufacturing system cuts a bundle of elements in which the plurality of elements are connected into individual elements having a certain width and a certain length, Through the press fit process, an element fixation image of a press machine that fixes the plurality of elements to the target circuit member board is further collected, and the target circuit member board and the element are collected through the element cutting image and the element fixation image. A fixing defect is further detected, and if a defect in the target circuit member board and the element fixation is detected, the arrangement information is modified to prevent defects in the target circuit member board and the element fixation, thereby providing third modified arrangement information. It can be controlled to derive, manufacture a third modification target circuit member based on the third modification arrangement information, and manufacture a low-temperature distribution drone or fire extinguishing drone equipped with the third modification target circuit member.

According to an embodiment of the present application, the request information is generated when the drone manufacturing system inputs the chip cutting image, the chip fixing image, the device cutting image, and the device fixing image, the target circuit member board, and the device fixing image. Based on an artificial neural network constructed through learning that outputs the defect detection result of chip fixation, the board for the target circuit member, and the defect detection result of the device fixation, the defect in the board for the target circuit member and the chip fixation or the target When a defect in the circuit member board and the element fixation is detected, the arrangement information is modified to prevent defects in the target circuit member board and the chip fixation or defects in the target circuit member board and the element fixation, and the fourth It can be controlled to derive correction batch information, manufacture a fourth modification target circuit member based on the fourth modification placement information, and manufacture a low-temperature distribution drone or fire extinguishing drone equipped with the fourth modification target circuit member. there is.

According to an embodiment of the present application, the output is based on the chip fixation image and the device fixation image, under the assumption that the cutting of the chip bundle and the device bundle by the cutter is normal, and the detection result of chip fixation defect and the device It may include detection results of defective binding.

According to an embodiment of the present application, the request information is a learning process in which the drone manufacturing system receives the chip fixation image and the device fixation image as input, and outputs a detection result of chip fixation defect and a result of device fixation defect. When the chip fixation defect and the device fixation defect are detected based on an artificial neural network constructed through Modify the batch information to derive fifth modified batch information, manufacture a circuit member subject to the fifth modification based on the fifth modified batch information, and manufacture a drone for cold distribution or a fire extinguisher equipped with the circuit member subject to the fifth modification. You can control it to manufacture drones.

According to an embodiment of the present application, the request information determines the type of cause of the defect through an artificial neural network that inputs the chip cutting image and device cutting image associated with the detection of the fixing defect by the drone manufacturing system, and determines the cause of the defect. Control can be made to derive the placement information by avoiding the type.

According to an embodiment of the present application, the request information is provided by the drone manufacturing system based on the drawing information, first arrangement information including area information and location information of the chip attachment area corresponding to each of the plurality of chips. Derive, based on the drawing information, derive second arrangement information including area information, position information, and element color information of the element combination area corresponding to each of the plurality of elements, and based on the drawing information , Third arrangement information including n (n is a positive integer, n>1) layer layer type information and n (n is a positive integer, n>1) layer layer order information corresponding to each of the plurality of layers. It can be controlled to derive

According to an embodiment of the present application, the request information is provided when the drone manufacturing system identifies one of the plurality of chips in the image and the first chip derived with respect to the chip attachment area corresponding to the corresponding chip. The adhesion strength and surface contamination of the chip are determined based on the batch information. If the adhesion strength of the chip is less than the preset strength or the surface contamination is more than the preset strength, the adhesion strength of the chip exceeds the preset strength. , modifying the first arrangement information so that the surface contamination is less than a preset level to derive chip modification arrangement information, manufacturing a circuit member to be chip modified based on the chip modification arrangement information, and manufacturing the circuit member to be chip modified. It can be controlled to manufacture drones for cold distribution or fire extinguishing.

According to an embodiment of the present application, the request information is provided when the drone manufacturing system identifies one of the plurality of elements in the image, and the second generated for the element combination area corresponding to the corresponding element. Based on the arrangement information, an insertion defect associated with erroneous insertion or reverse insertion of the corresponding element is determined. If the insertion defect exists, the second arrangement information is modified to avoid the insertion defect, and the first element corrected arrangement information is provided. Based on the first element modification arrangement information, a circuit member to be modified for the first element is manufactured, and a drone for low-temperature distribution or a fire extinguishing device equipped with the circuit member to be modified for the first element can be controlled to be manufactured. .

According to an embodiment of the present application, the request information is such that the drone manufacturing system derives reference color information of a merge inspection area including at least two of the element combination areas, and a portion corresponding to the merge inspection area in the image. If the actual color information is outside the preset color range based on the reference color information, it is determined that the insertion defect has occurred, and the second device determines that the actual color information is within the preset color range based on the reference color information. Modify the arrangement information to derive second element modified arrangement information, manufacture a second element modified circuit member based on the second element modified arrangement information, and manufacture the second element modified circuit member for low-temperature distribution. It can be controlled to manufacture drones or fire-fighting drones.

According to an embodiment of the present application, the request information is provided by the drone manufacturing system based on the second arrangement information of each of the at least two element combination areas included in the merge inspection area where the insertion defect is detected. The device in which a defect occurs and the type of the insertion defect are specified, but the arrangement information can be controlled to be derived so that the specified device in which the insertion defect occurs and the type of the insertion defect does not occur.

According to an embodiment of the present application, the request information is provided when the drone manufacturing system identifies any one of the plurality of layers in the image, and the third information derived for the layer arrangement area corresponding to the corresponding layer The shape accuracy of the layer is determined based on the placement information, but if the shape accuracy of the layer is less than a preset level, the third arrangement information is modified so that the shape accuracy of the layer is more than the preset level, and the layer is modified. It can be controlled to derive, manufacture a circuit member to be layer modified based on the layer correction arrangement information, and manufacture a drone for cold distribution or a drone for firefighting equipped with the circuit member to be layer modified.

According to an embodiment of the present application, when the fire extinguishing drone enters the target frozen warehouse corresponding to the fire information by control of the fire suppression device, the fire suppression device is activated in a smoke control area in the target frozen warehouse. Set a first critical differential pressure for forming smoke-retardant wind speed in the target space and a second critical differential pressure for controlling the air supply damper provided to supply external air to the target space according to the open/closed state of the shielded door provided in the target space. And, based on the second critical differential pressure, set a third critical differential pressure for setting a section for closing the air supply damper, and obtain differential pressure information of the target space through a sensor module provided in the fire extinguishing drone, Opening and closing of the air supply damper may be controlled according to a differential pressure section corresponding to the differential pressure information among a plurality of differential pressure sections divided by the first critical differential pressure, the second critical differential pressure, and the third critical differential pressure.

According to an embodiment of the present application, the second critical differential pressure may be set to a value smaller than the second critical differential pressure, and the third critical differential pressure may be set to a value between the first critical differential pressure and the second critical differential pressure. there is.

According to an embodiment of the present application, the plurality of differential pressure sections include a first section ranging from 0 to the first critical differential pressure, a second section ranging from the second critical differential pressure to the third critical differential pressure, and the third critical differential pressure. to a third section of the first critical differential pressure range.

According to an embodiment of the present application, when the differential pressure information corresponds to the first section, the fire suppression device tracks the second critical differential pressure to control the opening rate and PWM (Pulse Width Modulation) duty of the air supply damper, , If the differential pressure information corresponds to the third section, the opening rate and PWM (Pulse Width Modulation) duty of the air supply damper can be controlled by tracking the first critical differential pressure.

According to an embodiment of the present application, when the differential pressure information enters the second section, the fire suppression device may control the air supply damper to close the air supply damper for a preset control time.

According to an embodiment of the present application, if the differential pressure information deviates from the second section within the control time, the fire suppression device may control the air supply damper to be opened.

According to an embodiment of the present application, the control device and the fire suppression device include an E-shaped antenna element in which a plurality of first slots in the same direction are formed in a rectangular flat patch antenna on a specific side among the four sides of the rectangle. a first antenna formed by arranging them in a grid shape on a first plane; A device is arranged to overlap the first antenna on a second plane that is parallel to the first plane and located at an upper end of the first plane, and is provided with a plurality of second slots formed in a direction perpendicular to the first slots. Any one of the cold distribution drone and the fire extinguishing drone can be controlled using an antenna device including two antennas.

The control method of the intelligent refrigerated warehouse floor air conditioning control system according to an embodiment of the present application includes the steps of a user terminal transmitting a user input regarding a critical temperature range and a critical humidity range to a control device; The control device receiving the user input from the user terminal; setting, by the control device, the critical temperature range and the critical humidity range based on the user input; Controlling the floor air conditioning device by the control device so that the temperature and humidity inside the target frozen warehouse are within the critical temperature range and the critical humidity range, respectively; And the floor air conditioning device provided at the bottom of the floor in the target frozen warehouse adjusts the temperature and humidity of the air outside the target frozen warehouse under the control of the control device to generate outside air for processing, and generates the outside air for processing. It may include the step of supplying air into the target frozen warehouse and exhausting air from the target frozen warehouse to the outside of the target frozen warehouse.

The above-described means of solving the problem are merely illustrative and should not be construed as intended to limit the present application. In addition to the exemplary embodiments described above, additional embodiments may be present in the drawings and detailed description of the invention.

According to the means for solving the problem of the present application described above, there is an effect of improving hygiene and security of the target frozen warehouse by providing an intelligent frozen warehouse floor air conditioning control system and its control method.

In addition, according to the problem solving means of the present application described above, by providing an intelligent frozen warehouse floor air conditioning control system and a control method thereof, the problem of the target food being exposed to room temperature for a relatively long time when transferring the target food between the target freezer warehouse and a refrigerated vehicle is solved. It can be solved.

In addition, according to the problem solving means of the present application described above, by providing an intelligent refrigerated warehouse floor air conditioning control system and its control method, it is possible to quickly respond to accidents such as fire that occur in the target refrigerated warehouse, and perform smoke control to target the target refrigerated warehouse. It has the effect of increasing the safety and reliability of refrigerated warehouses.

However, the effects that can be obtained herein are not limited to the effects described above, and other effects may exist.

Figure 1 is a schematic configuration diagram of an intelligent refrigerated warehouse floor air conditioning control system according to an embodiment of the present application.
Figure 2 is a schematic block diagram of an intelligent refrigerated warehouse floor air conditioning control system according to an embodiment of the present application.
Figure 3 is an exemplary diagram illustrating a method of determining the opening of an entrance to a target frozen warehouse according to a decision result of a control device according to an embodiment of the present application.
Figure 4 is a diagram schematically showing the drone manufacturing system control of the intelligent fire extinguishing drone control device according to an embodiment of the present application.
Figure 5 is a schematic conceptual diagram for explaining an embodiment of changing the spray pattern of a waterproof material according to the spray adjustment information of the drone manufacturing system according to an embodiment of the present application.
Figure 6 is a diagram schematically showing an air supply damper controlled through a fire extinguishing drone according to an embodiment of the present application.
Figure 7 is a diagram schematically showing the structure of a multi-story frozen warehouse equipped with an air supply damper and an air supply fan controlled through a fire extinguishing drone according to an embodiment of the present application.
Figure 8 is a schematic plan view showing the structure of a predetermined floor of a multi-story frozen warehouse equipped with an air supply damper and an air supply fan controlled through a fire extinguishing drone according to an embodiment of the present application.
Figure 9 is a diagram schematically showing the PWM proportional control flow of the air supply damper performed based on differential pressure information of the target space obtained through a fire extinguishing drone according to an embodiment of the present application.
Figure 10 is a diagram schematically showing an antenna device used to control a drone for cold distribution or a drone for fire extinguishing according to an embodiment of the present application.
Figure 11 is a flowchart showing a control method of an intelligent refrigerated warehouse floor air conditioning control system according to an embodiment of the present application.

Below, with reference to the attached drawings, embodiments of the present application will be described in detail so that those skilled in the art can easily implement them. However, the present application may be implemented in various different forms and is not limited to the embodiments described herein. In order to clearly explain the present application in the drawings, parts that are not related to the description are omitted, and similar reference numerals are assigned to similar parts throughout the specification.

Throughout this specification, when a part is said to be “connected” to another part, this means not only “directly connected” but also “electrically connected” or “indirectly connected” with another element in between. "Includes cases where it is.

Throughout this specification, when a member is said to be located “on”, “above”, “at the top”, “below”, “at the bottom”, or “at the bottom” of another member, this means that a member is located on another member. This includes not only cases where they are in contact, but also cases where another member exists between two members.

Throughout the specification of the present application, when a part "includes" a certain component, this means that it may further include other components rather than excluding other components unless specifically stated to the contrary.

Figure 1 is a schematic configuration diagram of an intelligent refrigerated warehouse floor air conditioning control system 10 according to an embodiment of the present application.

Referring to FIG. 1, by the intelligent refrigerated warehouse floor air conditioning control system 10, the user terminal 300 transmits user input regarding temperature and humidity to the control device 100, and the control device 100 transmits the received input. After setting the temperature and humidity based on user input, the floor air conditioning device 200 is controlled according to the settings, and the floor air conditioning device 200 provided in the target frozen warehouse sets the temperature and humidity in the target frozen warehouse according to the control command. It is possible to control air supply and exhaust.

In addition, the control device 100 controls at least one cold distribution drone 400 to transfer target food between a freezer and a frozen vehicle, and an imaging device 500 installed in the target frozen warehouse detects people entering and leaving the freezer. Alternatively, the drone may be photographed and transmitted to the control device 100, the control device 100 may determine whether entry of the person or drone is permitted based on the image received, and the entry of the person or drone may be restricted according to the judgment result. there is.

Figure 2 is a schematic block diagram of an intelligent refrigerated warehouse floor air conditioning control system 10 according to an embodiment of the present application.

Referring to FIG. 2, the intelligent refrigerated warehouse floor air conditioning control system 10 according to an embodiment of the present application may include a control device 100, a floor air conditioning device 200, and a user terminal 300. In addition, although not shown in FIGS. 1 and 2, the intelligent refrigerated warehouse floor air conditioning control system 10 may include a low-temperature distribution drone 400, an imaging device 500, a fire detection sensor, and a fire suppression device. , but is not limited to this.

The control device 100, the low-temperature distribution drone 400, the imaging device 500, the user terminal, the fire detection sensor, and the fire suppression device of the intelligent refrigerated warehouse floor air conditioning control system 10 according to an embodiment of the present application are mutually can be connected through a network. Networks include both wired and wireless networks, and examples include LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), Wi-Fi Network, and Bluetooth. (Bluetooth) network, wifi network, NFC (Near Field Communication) network, 3G, LTE (Long Term Evolution), 5G network, WIMAX (World Interoperability for Microwave Access) network, etc.

According to an embodiment of the present application, the floor air conditioning device 200 is provided at the bottom of the floor in the target frozen warehouse, is controlled by the control device 100, and processes by controlling the temperature and humidity of the air outside the target frozen warehouse. It is possible to generate outside air, supply processed outside air into the target frozen warehouse, and exhaust air from the target frozen warehouse to the outside of the target frozen warehouse.

According to an embodiment of the present application, the control device 100 sets a critical temperature range and a critical humidity range based on the user input received from the user terminal 300, and the temperature and humidity inside the target frozen warehouse are each threshold. The floor air conditioning device 200 can be controlled to remain within the temperature range and critical humidity range.

According to an embodiment of the present application, the user terminal 300 may transmit user input regarding the critical temperature range and the critical humidity range to the control device 100.

The imaging device 500 is installed in the target freezer and captures a first image of a person entering the target freezer or a second image of a person coming out of the target freezer, and a third image of a drone entering the target freezer or a target freezer. You can shoot the fourth video of the drone coming out of the warehouse. The photographing device 500 may include a camera module for photographing an image. For example, it may include various types of cameras such as dome cameras, hood (box) cameras, pinhole cameras, bullet cameras, IR infrared cameras, PTZ cameras, infrared cameras, housing-integrated cameras, and perspective cameras. Additionally, the photographing device 500 may include a memory device capable of storing captured images. A storage device can be a device that temporarily or permanently preserves data in a computer. For example, storage devices may include magnetic disks, optical disks, ROM, RAM, non-volatile memory, tape, etc. Additionally, the imaging device 500 may be installed outside the target frozen warehouse, or may be installed inside the target frozen warehouse.

The low-temperature distribution drone 400 is a device that is linked to the control device 100 and the imaging device 500 through a network, for example, a member for transporting target food, a fire extinguishing agent injection device, a thermal imaging camera, and the like, which will be described later. It may be a drone equipped with a fire detection sensor, gas detection function, differential pressure detection function, fire detection function, etc., but is not limited thereto. As an example, the cold distribution drone 400 may be controlled by a fire suppression device, which will be described later, when a fire occurs and may be driven as a fire extinguishing drone, which will be described later, and perform fire suppression activities.

The control device 100 may receive an image captured by the photographing device 500. Additionally, the control device 100 may include a memory device capable of storing the received image. The control device 100 may receive and store images of the person or drone to be permitted entry in advance. For example, the control device 100 may store the image of the person or drone received from the photographing device 500 as the image of the person or drone to be permitted entry. As another example, the control device 100 may store the image of the person or drone received through the network as the image of the person or drone to be granted access. Specifically, the control device 100 may receive images of a person or drone through a network from a user terminal or other external terminal such as a PC or mobile terminal.

Additionally, the control device 100 can analyze images of people or drones. Specifically, the control device 100 generates a first image analysis result by analyzing the above-mentioned pre-stored video of a person to be permitted to enter, analyzes the first video to generate a second video analysis result, and generates a second video analysis result by analyzing the pre-stored access. The third video analysis result can be generated by analyzing the video of the drone to be authorized, and the fourth video analysis result can be generated by analyzing the third video. For example, the image analysis result may be the result of recognizing a person's face from an image of the person. For example, the control device 100 may recognize a person's face by applying a face recognition algorithm to the person's image. For example, a face recognition algorithm includes a step of acquiring an image of a person, a preprocessing step of removing noise from the image, a face detection step of detecting the facial area from the image, a face standardization step of extracting features and standardizing brightness, etc. It may include a facial recognition step of comparing and recognizing the detected image and the database image. In addition, various embodiments may exist in how the control device 100 recognizes a person's face from an image of the person. Additionally, the video analysis results may be the result of recognizing the drone's unique information. For example, unique information may include, but is not limited to, a barcode, QR code, etc.

Additionally, the control device 100 may compare the first image analysis result and the second image analysis result to determine whether the person entering the target frozen warehouse is a person permitted to enter. For example, the control device 100 may compare the face of the person recognized from the pre-stored image of the person to be permitted to enter, which is the result of the first image analysis, with the face of the person recognized from the first image, which is the result of the second image analysis. there is.

If the control device 100 determines that the person corresponding to the first image and the person corresponding to the pre-stored image of the person to be permitted to enter are the same person according to a predetermined standard as a result of analyzing the first image and the second image, , it can be determined that the person corresponding to the first image is a person permitted to enter. In addition, the control device 100 determines that the person corresponding to the first image and the person corresponding to the pre-stored image of the person to be permitted to enter are different people based on a predetermined standard as a result of analyzing the first image and the second image. If so, the control device 100 may determine that the person corresponding to the first image is not permitted to enter.

Additionally, the control device 100 may compare the third image analysis result and the fourth image analysis result to determine whether the drone entering the target frozen warehouse is a drone permitted to enter. For example, the control device 100 combines the unique information of the drone recognized from the pre-stored image of the drone to be granted access, which is the result of the third image analysis, and the unique information of the drone recognized from the third image, which is the result of the fourth image analysis. You can compare.

If the control device 100 determines that the drone corresponding to the third image and the drone corresponding to the pre-stored image of the drone to be permitted to enter are the same drone according to a predetermined standard as a result of the analysis of the third image and the fourth image, , it can be determined that the drone corresponding to the third video is a drone that has been granted entry. In addition, the control device 100 determines that the drone corresponding to the third image and the drone corresponding to the pre-stored image of the drone to be permitted to enter are different according to a predetermined standard as a result of analyzing the third image and the fourth image. If so, the control device 100 may determine that the drone corresponding to the third image is a drone that is not permitted to enter.

FIG. 3 is an exemplary diagram illustrating a method of determining the opening of an entrance to a target frozen warehouse according to a decision result of the control device 100 according to an embodiment of the present application.

The control device 100 may restrict entry of people or drones entering the target freezer warehouse according to the result of determining whether the person or drone entering the target freezer warehouse is a person or drone with permission to enter. For example, referring to FIG. 3 , the photographing device 500 may photograph a person or a drone entering a target frozen warehouse and transmit the photograph to the control device 100 . When the control device 100 compares the image received from the imaging device 500 with the pre-stored image of the person or drone to be permitted entry, and determines that the person or drone entering the target freezer is a person or drone permitted to enter, , the entrance to the target frozen warehouse can be opened. Here, opening the entrance may mean automatically unlocking the locking device of the target frozen warehouse, or may mean automatically opening the entrance of the target frozen warehouse, but is not limited to this.

As another example, if the control device 100 determines that the person or drone entering the target freezer is an unauthorized person or drone, it may close the entrance to the target freezer. Here, closing the entrance may include restricting people or drones from entering the target freezer. For example, closing the entrance may mean doubly strengthening the locking device of the target freezer. As another example, closing the entrance may mean passing electric current to the entrance of the target frozen warehouse, and various other embodiments may exist.

Additionally, the control device 100 may transmit the result of determining whether a person or drone entering the target frozen warehouse is a person or drone who has permission to enter the target frozen warehouse to an output device provided in the target frozen warehouse. Based on the received judgment result, the output device may output a result corresponding to the above-mentioned judgment result in a perceivable form. Specifically, the control device 100 may control the output device to output a result corresponding to the judgment result in a form that can be perceived by a person through human sense organs such as vision, hearing, touch, and smell. For example, the output device may include an audio device and output a result corresponding to the above-described determination result as sound. Additionally, the output device may include a display and output a result corresponding to the above-described determination result as an image. As another example, the output device may include a light emitting device, and may express a result corresponding to the above-described determined result with light. In addition, various embodiments may exist.

For example, referring to FIG. 3, when the control device 100 determines that a person or drone entering a target frozen warehouse is a person or drone permitted to enter, it visually displays that entry is possible through a display installed in the target frozen warehouse. It can be shown as As another example, if the control device 100 determines that a person or drone entering a target frozen warehouse is an unauthorized person or drone, it may visually show that entry is impossible through a display installed in the target frozen warehouse.

According to this, the intelligent refrigerated warehouse floor air conditioning control system 10 according to an embodiment of the present application has the effect of increasing the security of the target refrigerated warehouse by allowing only authorized people or drones to enter the target refrigerated warehouse.

In addition, the intelligent refrigerated warehouse floor air conditioning control system 10 according to an embodiment of the present application outputs the corresponding result to an output device depending on whether it is a person permitted to enter or a drone, thereby In cases where a drone attempts to enter a target frozen warehouse, the effect of increasing the security of the target frozen warehouse can be achieved by providing intuitive information through human senses.

The control device 100 can identify at least one of the shape, flavor, components, and weight of the target food entering the target freezer through the sensor module. For example, the sensor module may include at least one of a camera sensor, an olfactory sensor, an air sensor, and a weight sensor, but is not limited thereto and may include at least one of moisture ratio, shape, scent, component, and weight. It may contain a variety of sensors that can be identified. The sensor module may transmit the above-described identification result to the control device 100. Additionally, the sensor module may be implemented as a separate module or one device from the imaging device 500, or may be integrated into one module or device.

The control device 100 may determine the type of target food based on the identification result of the sensor module. For example, the control device 100 may determine the type of target food based on the shape of the target food photographed by the sensor module. Specifically, the control device 100 may store images of the target food in advance. The control device 100 may determine the type of the target food by comparing the image of the target food captured by the sensor module with the image of the target food stored in advance. By way of example, the control device 100 may determine the type of the target food by extracting and comparing the feature points of the image of the target food captured by the sensor module and the image of the target food stored in advance, but the control device 100 is not limited to this and various embodiments It can exist. Additionally, the types of target foods described above may include high-moisture target foods containing moisture above a preset critical moisture ratio and low-moisture target foods containing moisture below the critical moisture ratio.

Specifically, high-moisture foods may include flowers, vegetables, grains, fruits, seafood, livestock products, microorganisms, antibiotics, liquid medicines, etc. The control device 100 may control the floor air conditioning device 200 to perform treatment at a lower temperature on high-moisture target foods than on low-moisture target foods. Additionally, low-moisture foods may include dry chips, fruit chips, complex seasonings, powdered pharmaceuticals, etc.

Additionally, the control device 100 may control the output device based on the type of target food determined. If the type of target food is a high-moisture target food, the control device 100 may output a corresponding alarm through an output device. For example, if the target food is a high-moisture food, the control device 100 may display a handling caution message on the display screen.

According to this, the intelligent frozen warehouse floor air conditioning control system 10 according to an embodiment of the present application informs the user of handling caution for high-moisture foods that have a relatively high risk of food poisoning bacteria compared to low-moisture foods. It can remind you to handle food with care. In addition, the intelligent frozen warehouse floor air conditioning control system (10) notifies that high-moisture target foods enter the target freezer, and in the case of a target freezer that stores high-moisture target foods and low-moisture foods together, high-moisture target foods and low-moisture target foods are stored together. It may have the effect of preventing moisture-targeted foods from mixing.

The control device 100 may receive a user input for setting the type of the first target food to be stored in the target freezer. For example, the control device 100 may receive a user input corresponding to one of a high-moisture target food and a low-moisture target food. For example, the control device 100 may include a user interface for receiving user input. The user interface may be an input device, including switches, buttons, and indicators. The control device 100 may receive the user's input and determine the type of food to be stored in the warehouse as high-moisture food or low-moisture food.

Additionally, as described above, the control device 100 may determine the type of the second target food entering the target freezer through the sensor module. That is, the control device 100 may determine whether the second target food entering the target freezer is a high-moisture target food or a low-moisture target food. The control device 100 may compare the type of the first target food and the type of the second target food to determine whether the type of the first target food and the type of the second target food are the same.

Additionally, the control device 100 may determine whether to open or close the entrance of the target freezer depending on whether the type of the first target food and the second target food are the same. For example, when the type of the first target food and the type of the second target food are the same, the control device 100 may open the entrance of the target frozen warehouse. Specifically, when the first target food type is a high moisture target food and the second target food type is a high moisture target food, the control device 100 may open the entrance of the target frozen warehouse. As another example, the control device 100 may close the entrance of the target frozen warehouse when the type of the first target food and the type of the second target food are different.

Additionally, the control device 100 may control the output device based on the result of determining whether the type of the first target food and the type of the second target food are the same. Additionally, the control device 100 may output a result corresponding to the result of determining whether the type of the first target food and the type of the second target food are the same through an output device. For example, when the type of the first target food and the type of the second target food are different, the control device 100 may output an entry prohibited message through the output device.

According to this, the intelligent frozen warehouse floor air conditioning control system 10 according to an embodiment of the present application is a type that is different from the preset target food type in the case of a target freezer warehouse that stores high moisture target food and low moisture target food separately. By preventing target foods from entering the target freezer, it is effective in preventing the risk of mixing high-moisture foods with low-moisture foods.

The control device 100 may receive a user input for setting the ratio of high-moisture target food and low-moisture target food to be stored in the target freezer. The control device 100 may receive user input through the above-described user interface. For example, the ratio of high moisture target food and low moisture target food may be the ratio of the weight of high moisture target food and low moisture target food loaded in the target freezer. For example, if the allowable weight of target food to be stored in the target freezer is 100 kg, the user input for setting the ratio of high moisture target food and low moisture target food may be 5:5. Specifically, the control device 100 can detect the weight of the target food entering the target freezer through a sensor module. Additionally, the sensor module may transmit the detected weight of the target food to the control device 100. The control device 100 may store the weight and weight ratio of each type of food stored in the target freezer. Additionally, the control device 100 may receive the detected weight of the target food and update the weight and weight ratio for each type of target food currently stored in the warehouse according to the type of the target food. As another example, the ratio of high-moisture target food and low-moisture target food is the ratio of the volume of high-moisture target food and low-moisture target food loaded in the target freezer, the number of storage boxes for high-moisture target food and low-moisture target food, etc. Various embodiments may exist. Additionally, the control device 100 may output results corresponding to the ratio of the above-described high-moisture target food and low-moisture target food.

Additionally, the control device 100 may determine whether to open or close the entrance to the target freezer according to the ratio preset by user input and the type of target food entering the target freezer. For example, even if the weight of the target food entering the target freezer is added to the weight of the target food stored in the target freezer, if the preset ratio of high moisture target food and low moisture target food is satisfied, the control device (100 ) can open the entrance to the target freezer. Specifically, the weight of the target food that can be stored in the target freezer is 100 kg, the set ratio of high-moisture target food and low-moisture target food is 5:5, and the weight of the high-moisture target food stored in the target freezer is 100 kg. If the weight of the 40kg, low-moisture target food is 30kg, and the type of target food entering the target frozen warehouse is a high-moisture target food and weighs 5kg, the control device 100 may open the entrance of the target frozen warehouse.

As another example, when the weight of the target food entering the target freezer is added to the weight of the target food stored in the target freezer, if the preset ratio of high moisture target food and low moisture target food is not satisfied, the control device ( 100) can close the entrance to the target freezer. Specifically, the weight of the target food that can be stored in the target freezer is 100 kg, the set ratio of high-moisture target food and low-moisture target food is 5:5, and the weight of the high-moisture target food stored in the target freezer is 100 kg. If the weight of the 50kg, low-moisture target food is 30kg, and the type of target food entering the target freezer is a high-moisture target food and weighs 5kg, the control device 100 may close the entrance to the target freezer. In addition, the decision to open or close the entrance of the target freezer according to the ratio of high-moisture target food and low-moisture target food to be stored in the target freezer of the control device 100 may have various embodiments.

According to this, the intelligent refrigerated warehouse floor air conditioning control system 10 according to an embodiment of the present application adjusts the ratio of high-moisture target foods and low-moisture target foods to be stored in the target refrigerated warehouse. Inventory can be viewed at a glance and target refrigerated warehouses can be used efficiently.

A user terminal according to an embodiment of the present application may include various terminal devices such as a mobile terminal, PC, tablet, and wearable device. The user terminal may receive data from the control device 100. Here, the data that the user terminal receives from the control device 100 may include data that the control device 100 receives or generates. For example, the control device 100 is connected to the network, such as information related to access to the target frozen warehouse, information about the type of target food stored, and information related to setting the ratio of high-moisture target food and low-moisture target food to be stored in the target freezer. It may include data that can be received through and data generated by the control device 100.

Additionally, the user terminal may generate a control signal for opening or closing the entrance of the target refrigerated warehouse and transmit the control signal to the control device 100. For example, the user terminal may use the same algorithm as the control device 100 to generate a control signal for opening or closing the entrance of the target freezer. For example, the control device 100 compares the analysis result of the first image with the pre-stored image of the person to be permitted access, and the comparison result corresponds to the person corresponding to the first image and the pre-stored image of the person to be permitted access. If it is determined that the person doing it is the same person, the user terminal can generate a control signal to open the entrance of the target frozen warehouse. In addition, the comparison result of the control device 100 comparing the analysis result of the third image with the pre-stored image of the drone to allow access is the drone corresponding to the third image and the pre-stored image of the person to permit access. If it is determined that the person is the same person, the user terminal may generate a control signal to open the entrance of the target frozen warehouse.

As another example, the user terminal may generate a control signal for opening or closing the entrance of the target frozen warehouse independently of the control device 100. For example, even if the control device 100 makes a decision to close the entrance to the target frozen warehouse, the user terminal may generate a control signal for opening the entrance to the target frozen warehouse.

Additionally, the user terminal may receive user input regarding priorities with the control device 100. If the user terminal has a higher priority than the control device 100, even if the control device 100 determines to open or close the entrance of the target frozen warehouse, if it receives a control signal from the user terminal within a predetermined reference time, the user terminal Based on the control signal received from, the opening or closing of the entrance of the target refrigerated warehouse can be re-determined. On the other hand, when the user terminal has a lower priority than the control device 100, the control device 100 determines whether to open or close the entrance of the target frozen warehouse even if it receives a control signal from the user terminal within a predetermined reference time. Regardless, the operation determined by the control device 100 can be performed.

According to this, the user can check the information about the people accessing the warehouse and the target food through the user terminal, and determine the opening or closing of the target freezer accordingly, so that the status of the target freezer can be checked from a distance and the target freezer can be stored in the warehouse. You can decide whether to open or close.

In addition, the user terminal is linked with the identifier of each of the plurality of target freezers, information related to entering and exiting the multiple target freezers, information about the type of target food stored, and information about high moisture target food and low moisture target food to be stored in the target freezer. Information about ratio settings can be saved. For example, each control device 100 of a plurality of target refrigerated warehouses may have an independent identifier. Here, the identifier may be a sign or a set of symbols to identify the target frozen warehouse. Each control device 100 of a plurality of target refrigerated warehouses may transmit the above-described identifier together when transmitting data to the user terminal.

In addition, the user terminal may generate a control signal for opening or closing the entrance of the plurality of target freezers for each of the plurality of target freezers based on the above-described stored information. For example, the user terminal may store information received for each of a plurality of target refrigerated warehouses based on the above-described identifier. In addition, the user terminal may generate a control signal for opening or closing the entrance of the target freezer for each of the plurality of target freezers based on information stored for each of the plurality of target freezers and transmit the control signal to each of the plurality of target freezers.

Additionally, the intelligent refrigerated warehouse floor air conditioning control system 10 according to an embodiment of the present application may include an indoor communication device. Indoor communication devices may include communication devices capable of short-distance communication such as Wi-Fi, RFID, and BLE for transmitting and receiving data indoors and over short distances. Additionally, the intelligent refrigerated warehouse floor air conditioning control system 10 according to an embodiment of the present application may include an outdoor positioning device. The outdoor positioning device may include a communication device capable of long-distance communication such as GPS, Wifi, or 4G for transmitting and receiving data outdoors and over long distances or detecting the location of a terminal.

The indoor communication device and the outdoor positioning device may separately or in conjunction detect the user terminal entering the target frozen warehouse or the user terminal coming out of the target frozen warehouse. For example, an outdoor positioning device can communicate with a user terminal. The outdoor positioning device can detect that the user terminal enters the target freezer through a change in the location of the user terminal or a change in communication values with the user terminal. Additionally, the indoor positioning device communicates with the user terminal and can detect whether the user terminal leaves the target freezer through a change in the communication value with the user terminal. In addition to this, various embodiments may exist.

Additionally, the indoor communication device and the outdoor positioning device may transmit to the control device 100 the result of detecting that the user terminal enters the target frozen warehouse, or that the user terminal detects that the user terminal enters or exits the target frozen warehouse.

The control device 100 according to an embodiment of the present application may count the number of people entering the target frozen warehouse based on the first image and count the number of people leaving the target frozen warehouse based on the second image. . For example, the control device 100 may analyze the first and second images captured by the imaging device 500 and count the number of people entering the target frozen warehouse and the number of people leaving the target frozen warehouse. . Specifically, the control device 100 may recognize the face of a person from the first image and the second image and count the number of people entering the target frozen warehouse and the number of people leaving the target frozen warehouse, but is not limited to this. Various embodiments may exist.

The control device 100 according to an embodiment of the present application may count the number of drones entering the target frozen warehouse based on the third image, and count the number of drones coming out of the target frozen warehouse based on the fourth image. . For example, the control device 100 may analyze the third and fourth images captured by the imaging device 500 and count the number of drones entering the target frozen warehouse and the number of drones coming out of the target frozen warehouse. . Specifically, the control device 100 may recognize the unique information of the drone from the third image and the fourth image and count the number of drones entering the target frozen warehouse and the number of drones coming out of the target frozen warehouse, but is not limited to this. There may be various embodiments without this.

Additionally, the control device 100 may detect the number of people or drones inside the target frozen warehouse by comparing the number of people or drones entering the target frozen warehouse with the number of people or drones coming out of the target frozen warehouse. For example, the control device 100 can detect the number of people or drones inside the target frozen warehouse by the difference between the number of people or drones entering the target frozen warehouse and the number of people or drones coming out of the target frozen warehouse. You can.

Additionally, the control device 100 may automatically close the entrance to the target frozen warehouse when the number of people and drones inside the target frozen warehouse is 0. For example, when the last person leaves the target frozen warehouse, the control device 100 determines that the number of people inside the target frozen warehouse is 0, and when the last drone leaves the target frozen warehouse, the control device 100 determines that the number of people inside the target frozen warehouse is 0. It can be determined that the number of drones inside the target frozen warehouse is 0. Additionally, the control device 100 may automatically close the open entrance of the target frozen warehouse when the number of people and drones inside the target frozen warehouse is 0.

A fire detection sensor according to an embodiment of the present application can detect fire or smoke within a target frozen warehouse. Additionally, the fire detection sensor may include at least one sensor for detecting fire or smoke. For example, the fire detection sensor may include a smoke detection sensor, a flame detection sensor, a heat detection sensor, etc. Additionally, the fire detection sensor may transmit the results of detecting fire or smoke to a fire suppression device.

Additionally, the fire suppression device according to the embodiment of the present application may perform fire suppression activities in response to the detection result of the fire detection sensor. A fire suppression device may include modules or devices for fire suppression activities. For example, a fire suppression device may include modules or devices for suppressing a fire, such as sprinklers and fire extinguishing agent discharge devices. The fire suppression device can automatically perform fire suppression activities to suppress fire or smoke occurring within the target frozen warehouse through the module or device for suppressing the above-described fire.

Additionally, the fire detection sensor may be implemented as a separate module or one device from the fire suppression device, or may be implemented by integrating it into one module or device.

According to this, the intelligent refrigerated warehouse floor air conditioning control system 10 according to an embodiment of the present application detects fire or smoke within the target refrigerated warehouse and automatically performs fire suppression activities, thereby preventing accidents that occur inside the target refrigerated warehouse. Quick response is possible and can have the effect of increasing the safety and reliability of the target refrigerated warehouse.

The intelligent frozen warehouse floor air conditioning control system 10 according to an embodiment of the present application is installed in the target frozen warehouse, and includes a first image of a person entering the target frozen warehouse, a second image of a person coming out of the target frozen warehouse, and a target frozen warehouse. a photographing device 500 that captures a third image of the cold distribution drone 400 entering the target refrigerated warehouse and a fourth image of the cold distribution drone 400 coming out of the target freezer; At least one cold distribution drone 400 is controlled to transport the target food, receives an image captured by the imaging device 500, and compares the first image with a pre-stored image of a person to be permitted to enter, thereby freezing the target food. It is determined whether the person entering the warehouse is a person permitted to enter, and the third video is compared with the pre-stored image of the cold distribution drone 400 that will allow entry, so that the drone entering the target freezer is a cold distribution drone for which entry is permitted. A control device (100) that determines whether it is a drone (400) and restricts entry of people or drones according to the determination result; And it may include at least one cold distribution drone 400 that is controlled by the control device 100 and transports the target food between the target freezer warehouse and the frozen vehicle.

According to an embodiment of the present application, the control device 100 receives and stores images of a person or drone to be permitted to enter the target freezer in advance, analyzes the stored images of the person, and generates a first image analysis result. , the first image captured by the photographing device 500 is received and analyzed to generate a second image analysis result, the stored drone video is analyzed to generate a third image analysis result, and the image captured by the photographing device 500 is generated. The third image is received and analyzed to generate the fourth image analysis result, and the first image analysis result and the second image analysis result are compared to allow the person photographed by the imaging device 500 to enter the target frozen warehouse. It is determined whether it is the same person, and the third and fourth image analysis results are compared to determine whether the drone captured by the imaging device (500) is the same drone as the cold distribution drone (400) permitted to enter the target frozen warehouse. Make a judgment, determine whether to open or close the entrance to the target freezer based on the judgment result, output the result corresponding to the judgment result in a recognizable form based on the judgment result, and determine the moisture ratio of the target food entering the target freezer. , at least one of shape, flavor, components, weight, and expiration date can be identified.

According to an embodiment of the present application, the control device 100 determines the type of target food based on the identification result, and the type of target food includes high moisture target food containing moisture above a preset critical moisture ratio and critical moisture. It includes low-moisture target foods containing less than a percentage of moisture, and the control device 100 outputs an alarm if the type of target food is high-moisture target food, but high-moisture target foods and low-moisture target foods to be stored in the target freezer. A user input for setting the ratio may be received, and the opening or closing of the entrance of the target frozen warehouse may be determined according to the ratio preset by the user input and the type of target food entering the target frozen warehouse.

According to an embodiment of the present application, the control device 100 receives a user input for setting the type of the first target food to be stored in the target freezer, and determines the type of the second target food to be stored in the target freezer. , Compares the type of the first target food and the type of the second target food, determines whether to open or close the entrance of the target freezer depending on whether the type of the first target food and the type of the second target food are the same, and intelligent refrigeration The warehouse floor air conditioning control system 10 may further include a user terminal that receives data from the control device 100 and transmits a control signal for opening or closing the entrance of the target frozen warehouse to the control device 100. there is.

According to an embodiment of the present application, the user terminal is linked with the identifier of each of the plurality of target frozen warehouses, information related to the entry and exit of people into the plurality of target frozen warehouses, information about the type of target food stored, and the number of items to be stored in the target frozen warehouse. Information on setting the ratio of moisture-targeted food and low-moisture target food can be stored, and based on the stored information, a control signal for opening or closing the entrance of a plurality of target freezers can be generated for each of a plurality of target freezers. .

According to an embodiment of the present application, the control device 100 counts the number of people entering the target frozen warehouse based on the first image, and counts the number of people leaving the target frozen warehouse based on the second image. , a cold distribution drone that detects the number of people inside the target freezer by comparing the number of people entering the target freezer and the number of people coming out of the target freezer, and enters the target freezer based on the third image. Count the number of (400), count the number of cold distribution drones (400) coming out of the target frozen warehouse based on the fourth video, count the number of cold distribution drones (400) entering the target frozen warehouse, and target frozen warehouse. By comparing the number of cold distribution drones 400 coming from the warehouse, the number of cold distribution drones 400 inside the target frozen warehouse is detected, and the number of cold distribution drones 400 inside the target frozen warehouse detected by the control device 100 is detected. When the number of people and cold distribution drones 400 is 0, the entrance to the target freezer can be automatically closed.

According to an embodiment of the present application, the intelligent refrigerated warehouse floor air conditioning control system 10 includes a fire detection sensor that detects fire or smoke within the target refrigerated warehouse; And it may further include a fire suppression device that performs fire suppression activities in response to the detection result of the fire detection sensor.

According to an embodiment of the present application, the fire suppression device may provide a fire reporting menu and a fire extinguishing drone control menu to the user terminal. For example, a user terminal may download and install an application program provided by a fire suppression device, and a fire report menu and a fire extinguishing drone control menu may be provided through the installed application.

The above-mentioned control device 100 and fire suppression device transmit and receive data, content, and various communication signals with fire extinguishing drones and user terminals through a network, and all types of servers, terminals, or devices with data storage and processing functions. may include.

A fire extinguishing drone is a device that is linked to a fire suppression device and a user terminal through a network. For example, a member for transporting target food, a fire extinguishing agent spray device, a fire detection sensor, a thermal imaging camera, a gas detection function, a differential pressure detection function, and a fire detection function. It may be a drone equipped with a detection function, etc., but is not limited thereto. The fire extinguishing drone may be included in the cold distribution drone 400 described above.

The user terminal and the drone manufacturer terminal 600, which will be described later, are devices that are linked with the control device 100 and the fire suppression device described above through a network, for example, a smartphone, a smart pad, Tablet PCs, wearable devices, PCS (Personal Communication System), GSM (Global System for Mobile communication), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)- 2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), all types of wireless communication devices such as Wibro (Wireless Broadband Internet) terminals and fixed terminals such as desktop computers and smart TVs. It may be possible.

The above-described control device 100, fire suppression device, fire extinguishing drone, user terminal, drone manufacturer terminal 600 to be described later, drone manufacturing system 700 to be described later, air supply damper 800 to be described later, fire detection to be described later Examples of networks for information sharing between sensors and differential pressure sensors to be described later include 3rd Generation Partnership Project (3GPP) network, Long Term Evolution (LTE) network, 5G network, World Interoperability for Microwave Access (WIMAX) network, and wired and wireless Internet (Internet). ), LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), Bluetooth network, Wifi network, NFC (Near Field Communication) network, satellite It may include, but is not limited to, a broadcasting network, an analog broadcasting network, and a Digital Multimedia Broadcasting (DMB) network.

According to an embodiment of the present application, the intelligent refrigerated warehouse floor air conditioning control system 10 may include at least one fire-fighting drone.

According to an embodiment of the present application, the fire suppression device may receive information about a fire in a target refrigerated warehouse occurring within a preset area from a user terminal and a fire detection sensor.

As an example, the fire suppression device may receive information about a fire in a target frozen warehouse occurring within a preset radius centered on the location of the user terminal from the user terminal. Fire information may include the location of the fire (the location or area of the target refrigerated warehouse where the fire occurred), the scale of the fire, and the arrival of a fire truck.

According to an embodiment of the present application, the fire suppression device may control at least one fire extinguishing drone to perform fire suppression activities based on fire information.

As an example, the fire suppression device may control fire-fighting drones stored in the order of the fire-fighting drone storage location that is relatively closest to the fire location among a plurality of fire-fighting drone storage locations. If the scale of the fire is greater than a preset scale, the fire suppression device can control more than a preset number of fire extinguishing drones. Additionally, if at least one fire truck has arrived at the location of the fire, the fire suppression device can only control a preset ratio of firefighting drones out of a preset number of firefighting drones. Additionally, if the fire type is a fire in a target refrigerated warehouse equipped with the air supply damper 800, the fire suppression device can control a differential pressure sensor and a fire extinguishing drone equipped with a pressure sensor.

According to an embodiment of the present application, the fire suppression device may transmit evacuation request information to a user terminal located within a preset radius around the area corresponding to the fire information.

For example, if the location of the fire and the location of the user terminal are within a preset distance or the scale of the fire is greater than the preset scale, the fire suppression device sends an evacuation request including an evacuation route to the user terminal located within a preset radius around the fire location. Information can be transmitted. In addition, if the fire truck has not arrived at the fire area, the fire suppression device is a user terminal located within a preset radius around the fire location, and selects the evacuation route that overlaps the least with the expected driving path of the fire truck among the plurality of evacuation routes. It is possible to transmit evacuation request information including. In addition, if the possibility of a forest fire occurring due to a fire in the target frozen warehouse is greater than a preset level, the fire suppression device is a user terminal located within a preset radius centered on the fire location, and the possibility of a forest fire spreading along the route among multiple evacuation routes is relatively high. As a result, the enemy can transmit evacuation request information including the evacuation route.

According to an embodiment of the present application, the fire suppression device may transmit fire extinguishment completion information to the user terminal when the fire is ended.

As an example, when the fire is over, the fire suppression device may transmit fire extinguishment completion information to the user terminal that received the evacuation request information.

According to an embodiment of the present application, at least one fire-fighting drone may be controlled by a fire suppression device.

According to an embodiment of the present application, at least one fire-fighting drone may perform fire suppression activities.

As an example, at least one fire-fighting drone may perform fire suppression activities based on fire information.

According to an embodiment of the present application, the user terminal may transmit information about a fire occurring in a target frozen warehouse to a fire suppression device.

As an example, the user terminal may transmit information about a fire occurring in a target frozen warehouse within a preset area using a fire suppression device.

According to an embodiment of the present application, the user terminal may receive at least one of evacuation request information and fire extinguishing completion information from the fire suppression device.

FIG. 4 is a diagram schematically showing control of the drone manufacturing system 700 by the control device 100 according to an embodiment of the present application.

Referring to FIG. 4, the control device 100 transmits request information requesting to manufacture a cold distribution drone 400 or fire extinguishing drone equipped with a specific circuit member to the drone manufacturer terminal 600 through the network. You can. The request information transmitted to the drone manufacturer's terminal 600 can control the drone manufacturer's drone manufacturing system 700 to manufacture a cold distribution drone 400 or fire extinguishing drone equipped with a specific circuit member.

As an example, the intelligent refrigerated warehouse floor air conditioning control system 10 may include a drone manufacturing terminal 600 and a drone manufacturing system 700.

As another example, the fire suppression device may transmit request information requesting to manufacture a cold distribution drone 400 or fire extinguishing drone equipped with a specific circuit member to the drone manufacturer terminal 600 through the network.

In the description of the embodiment of the present application, the drone manufacturing system 700 includes a loader for supplying the target circuit member, a solder printer for applying solder cream to the upper surface of the target circuit member, and a plurality of devices for the target circuit member. Equipment for inserting various elements placed on the target circuit member such as a chip mounter, heating/cooling means, elements, and condensers that attach the chips to each corresponding position, waterproofing materials or fire prevention materials on the target circuit member It may include at least some of various sub-modules such as a coating machine that sprays materials, but is not limited to this. Illustratively, an environment in which water may enter the cold distribution drone 400 or a fire-fighting drone on which the target circuit member is mounted (e.g., a situation in a target frozen warehouse where a fire sprinkler is in operation, etc.) Alternatively, depending on whether the drone is operated in an environment where it may be engulfed in fire, a coater for spraying waterproof or fireproof materials may be optionally included in the drone manufacturing system 700.

According to an embodiment of the present application, when the control device 100 detects the loss of the cold distribution drone 400 or the fire extinguishing drone performing fire suppression activities, the control device 100 selects a target corresponding to the circuit member included in the lost drone. Request information requesting to manufacture a low-temperature distribution drone 400 or a fire extinguishing drone equipped with a circuit member can be transmitted to the terminal of the drone manufacturer.

For example, loss of communication with a fire suppression device for controlling a fire extinguishing drone that has arrived at the fire area and started fire suppression activities may mean the loss of the fire extinguishing drone. In addition, if the sensor provided in the cold distribution drone 400 or the fire extinguishing drone does not work or the fire extinguishing agent spray function does not work, this may mean that the cold distribution drone 400 or the fire extinguishing drone is lost.

The plurality of cold distribution drones 400 or the plurality of fire extinguishing drones each include a circuit member, and the circuit members may be different depending on the cold distribution drone 400 or the fire extinguishing drone. Circuit members may include PCBs, multi-layer PCBs (MLBs), etc.

According to an embodiment of the present application, the request information can control the drone manufacturing system 700 of a drone manufacturer.

The request information may include control information for controlling the drone manufacturing system 700 of a drone control company.

The drone manufacturer may be a drone manufacturer that has already registered with the fire suppression system. The drone manufacturer terminal 600 may be equipped to display control parameters and status information of the drone manufacturing system 700.

According to an embodiment of the present application, if the fire has not ended and the fire extinguishing drone is completed in the drone manufacturing system 700 according to the request information, the fire suppression device freezes the target that the manufactured fire extinguishing drone corresponds to the fire information. It can be controlled to carry out fire suppression activities for the warehouse.

For example, in a state where a fire is not ended, such as when long-term fire suppression activities are required, the fire suppression device is used to suppress fire in a target frozen warehouse corresponding to fire information by a fire extinguishing drone manufactured in the drone manufacturing system 700. You can control the activity to be performed.

According to an embodiment of the present application, the request information is such that the drone manufacturing system 700 acquires drawing information including shape information of a target circuit member, and creates a plurality of chips, a plurality of elements, and a plurality of layers based on the drawing information. It can be controlled to derive placement information for.

As an example, drawing information including shape information of a target circuit member may mean a CAD program file including 3D shape information of a target circuit member to be manufactured through the drone manufacturing system 700.

In this regard, depending on the type of target circuit member to be manufactured through the drone manufacturing system 700, various elements disposed on the target circuit member, the number, location, size, type, and target circuit member of the elements attached to the target circuit member. The number of layers, etc. may be determined in various ways, and in this regard, the drone manufacturing system 700 performs a process of attaching a plurality of chips and inserting a plurality of elements according to the layer configuration to the target circuit member through analysis of the drawing information. After completion, the detailed settings for the vision inspection can be customized according to the target circuit member to determine whether the layer composition, chip attachment, and element insertion have been performed correctly through vision inspection of the image captured through the camera module. It can work.

According to an embodiment of the present application, the request information can control the drone manufacturing system 700 to manufacture the target circuit member based on the arrangement information.

As an example, the drone manufacturing system 700 may mean that the control device 100 controls the drone manufacturing system 700 through request information to manufacture a target circuit member based on the derived arrangement information.

According to an embodiment of the present application, the request information may be used to control the drone manufacturing system 700 to obtain an image of a target circuit member on which a plurality of chips, a plurality of devices, and a plurality of layers are arranged.

As an example, the drone manufacturing system 700 includes a photographing device 500 (hereinafter referred to as the 'main photographing device 500') provided in the drone manufacturing system 700 for photographing a manufactured target circuit member. , under the control of the drone manufacturing system 700, the photographing device 500 photographs the target circuit member manufactured by the drone manufacturing system 700 and controls the photographing device 500 to generate an image of the target circuit member. And, the drone manufacturing system 700 can obtain an image of the generated target circuit member. The image of the target circuit member acquired by the drone manufacturing system 700 may be image information captured throughout the entire manufacturing process of the target circuit member. Additionally, the image of the target circuit member acquired by the drone manufacturing system 700 may include a three-dimensional perspective image that can confirm the combination state of layers, chips, and devices.

According to an embodiment of the present application, the request information is a defect associated with the attachment of each of a plurality of chips, the insertion of each of a plurality of elements, and the arrangement of each of a plurality of layers, based on the arrangement information and images of the drone manufacturing system 700. can be controlled to detect.

As an example, the drone manufacturing system 700 may provide each of a plurality of chips of the target circuit member manufactured based on placement information derived based on drawing information of the target circuit member and an image of the target circuit member manufactured based on the placement information. Check whether the attachment is consistent with the arrangement information, whether the insertion of each of the plurality of elements is consistent with the arrangement information, and whether the arrangement of each of the plurality of layers is consistent with the arrangement information, etc. to determine whether the above-mentioned matters are checked. Defects associated with can be detected.

According to an embodiment of the present application, the request information is a defect associated with the attachment of each of a plurality of chips, the insertion of each of a plurality of elements, and the arrangement of each of a plurality of layers, based on the arrangement information and images of the drone manufacturing system 700. When detected, the batch information can be modified to prevent defects and controlled to derive first modified batch information.

As an example, the drone manufacturing system 700 provides each of a plurality of chips of the target circuit member manufactured based on placement information derived based on drawing information of the target circuit member and an image of the target circuit member manufactured based on the placement information. Check whether the attachment is consistent with the arrangement information, whether the insertion of each of the plurality of elements is consistent with the arrangement information, and whether the arrangement of each of the plurality of layers is consistent with the arrangement information, etc. to determine whether the above-mentioned matters are checked. Upon detecting a defect associated with, the drone manufacturing system 700 determines whether the attachment of each of the plurality of chips of the target circuit member manufactured to prevent the above-described defect is consistent with the arrangement information, and the insertion of each of the plurality of elements. A control device (100) to correct the placement information for defects among whether it matches the placement information and whether the placement of each of the plurality of layers matches the placement information to derive first modified placement information. ) can control the drone manufacturing system 700 through the request information.

For example, when the drone manufacturing system 700 detects an attachment defect of one chip a in the attachment of a plurality of chips of a target circuit member, the drone manufacturing system 700 determines the attachment method of chip a and the attachment method from the arrangement information. The control device 100 may control the drone manufacturing system 700 through the request information to derive first modified arrangement information by modifying the location, etc.

According to an embodiment of the present application, the request information is such that the drone manufacturing system 700 manufactures a circuit member to be first modified based on the first modified batch information, and a low-temperature distribution drone equipped with the circuit member to be first modified. (400) Alternatively, it can be controlled to manufacture a fire extinguishing drone.

As an example, the drone manufacturing system 700 manufactures a circuit member to be first modified based on the derived first modification arrangement information, and combines the circuit member to be modified with the first modified circuit member and the low-temperature distribution drone 400 housing or fire extinguishing drone housing. The control device 100 can control the drone manufacturing system 700 to manufacture a low-temperature distribution drone 400 or a fire extinguishing drone by combining.

According to an embodiment of the present application, the request information is to control the drone manufacturing system 700 to collect chip cutting images of a cutter that cuts a bundle of chips in which a plurality of chips are connected into individual chips having a certain width and a certain length. You can.

As an example, the photographing device 500 provided in the drone manufacturing system 700 may include a chip cutting photographing device 500 that films the process of a cutter provided in the drone manufacturing system 700 cutting a bundle of chips. there is. The cutter cuts a bundle of chips in which a plurality of chips are connected into individual chips having a certain width and a certain length, and can be controlled by the drone manufacturing system 700. The cutter may include a lower jig that supports and guides the lower part of the chip bundle and an upper jig that cuts the chip bundle into individual chips. That is, the chip bundle is seated on the lower jig, and the upper jig applies pressure from the top of the chip bundle, so that the chip bundle can be cut into individual chips. At this time, the drone manufacturing system 700 may collect cutting images including images of the lower jig that supports the chip bundle and the upper jig that cuts the chip bundle. If the lower jig is not properly seated on the chip bundle, or the upper jig does not cut the chip bundle accurately (for example, if the width between chips is miscut), defects may occur in the chip, which may be caused by these chips. Defects may occur in the fixation of the board and chip for the target circuit member. Therefore, cut images can be used to detect defects. The chip bundle may be manufactured within the drone manufacturing system 700 by control of the drone manufacturing system 700 based on batch information. The drone manufacturing system 700 can collect chip cutting images by controlling the chip cutting imaging device 500.

According to an embodiment of the present application, the request information may be controlled so that the drone manufacturing system 700 collects chip fixation images of a press machine that fixes a plurality of chips to a board for a target circuit member through a press fit process.

As an example, the photographing device 500 provided in the drone manufacturing system 700 captures the process in which the press machine installed in the drone manufacturing system 700 fixes a plurality of chips to a board for a target circuit member through a press fit process. It may include a chip fixation photographing device 500. The press machine may be controlled by the drone manufacturing system 700. The drone manufacturing system 700 can control the chip fixation imaging device 500 to collect chip fixation images.

According to an embodiment of the present application, the request information can be used to control the drone manufacturing system 700 to detect defects in the target circuit member board and chip fixation through chip cutting images and chip fixation images.

As an example, the drone manufacturing system 700 determines whether the chip has been cut to correspond to the derived arrangement information based on the collected chip cutting image and the chip fixation image, and determines whether the cut chip is used for the target circuit member to correspond to the derived arrangement information. It is possible to detect defective chip fixation on the board for the target circuit member by determining whether it is fixed to the board.

According to an embodiment of the present application, when the drone manufacturing system 700 detects defects in the fixation of the board and chip for the target circuit member, the request information modifies the placement information to prevent defects in the fixation of the board and chip for the target circuit member. This can be controlled to derive the second crystal placement information.

Whether the drone manufacturing system 700 has cut the chip to correspond to the arrangement information derived based on the chip cutting image and the chip fixation image, and whether the cut chip has been fixed to the board for the target circuit member to correspond to the derived arrangement information. If a defect in chip fixation on the board for the target circuit member is detected, the drone manufacturing system 700 determines the cutting width or cutting length of the chip bundle in the arrangement information to prevent defective chip fixation in the board for the target circuit member. Second modified placement information can be derived by modifying the fixing method or fixing position of the modified or cut chip.

According to an embodiment of the present application, the request information is such that the drone manufacturing system 700 manufactures the second modification target circuit member based on the second modification placement information, and a low-temperature distribution drone equipped with the second modification target circuit member (400) Alternatively, it can be controlled to manufacture a fire extinguishing drone.

The drone manufacturing system 700 manufactures a circuit member subject to second modification based on the second modification arrangement information, and combines the circuit member subject to second modification with the low-temperature distribution drone 400 housing or fire extinguishing drone housing to achieve low-temperature distribution. The control device 100 may control the drone manufacturing system 700 through request information to manufacture the drone 400 for firefighting or the drone for firefighting. The drone manufacturing system 700 may include, but is not limited to, a cutting machine, a press machine, etc.

According to an embodiment of the present application, the request information controls the drone manufacturing system 700 to collect element cutting images of a cutter that cuts a bundle of elements connected to a plurality of elements into individual elements having a certain width and a certain length. You can.

As an example, the imaging device 500 provided in the drone manufacturing system 700 may include an element cutting imaging device 500 that photographs the process of cutting a bundle of elements by a cutter provided in the drone manufacturing system 700. there is. The cutter cuts a bundle of devices in which a plurality of devices are connected into individual devices having a certain width and a certain length, and can be controlled by the drone manufacturing system 700. The cutter may include a lower jig that supports and guides the lower part of the device bundle and an upper jig that cuts the device group into individual devices. That is, the device bundle is seated on the lower jig, and the upper jig applies pressure from the top of the device bundle, so that the device bundle can be cut into individual devices. At this time, the drone manufacturing system 700 may collect cutting images including images of the lower jig that supports the device bundle and the upper jig that cuts the device bundle. If the lower jig is not properly seated on the element bundle, or the upper jig does not cut the element bundle accurately (for example, if the elements are incorrectly cut so that the widths between elements are different), defects may occur in the element, and these elements may cause defects. Defects may occur in the fixation of the target circuit member board and elements. Therefore, the cut image can be used to detect defects. The device bundle may be manufactured within the drone manufacturing system 700 by control of the drone manufacturing system 700 based on placement information. The drone manufacturing system 700 can control the device cutting imaging device 500 to collect device cutting images.

According to an embodiment of the present application, the request information may be controlled so that the drone manufacturing system 700 collects an element fixation image of a press machine that fixes a plurality of elements to a board for a target circuit member through a press fit process.

As an example, the photographing device 500 provided in the drone manufacturing system 700 captures the process in which the press machine installed in the drone manufacturing system 700 fixes a plurality of elements to a board for a target circuit member through a press fit process. It may include an element fixation imaging device 500 that does this. The press machine may be controlled by the drone manufacturing system 700. The drone manufacturing system 700 can control the device fixation imaging device 500 to collect device fixation images.

According to an embodiment of the present application, the request information can be used to control the drone manufacturing system 700 to detect defects in the target circuit member board and element fixation through the element cutting image and element fixation image.

As an example, the drone manufacturing system 700 determines whether the element has been cut to correspond to the derived arrangement information based on the collected element cutting image and element fixation image, and determines whether the cut element is used for the target circuit member to correspond to the derived arrangement information. It is possible to detect defects in the fixation of elements on the board for the target circuit member by determining whether they are fixed to the board.

According to an embodiment of the present application, when the drone manufacturing system 700 detects a defect in the fixation of the board and element for the target circuit member, the request information modifies the arrangement information to prevent defects in the fixation of the board and element for the target circuit member. This can be controlled to derive the third crystal placement information.

The drone manufacturing system 700 detects defects in the fixation of elements on the target circuit member board by determining whether the element is fixed to the target circuit member board to correspond to the derived arrangement information based on the element cutting image and element fixation image. In this case, the drone manufacturing system 700 corrects the cutting width or cutting length of the element bundle in the arrangement information or modifies the fixing method or fixing position of the cut elements to prevent defects in fixing the elements to the board for the target circuit member. 3 Crystal placement information can be derived.

According to an embodiment of the present application, the request information is such that the drone manufacturing system 700 manufactures the third modification target circuit member based on the third modification placement information, and a low-temperature distribution drone equipped with the third modification target circuit member (400) Alternatively, it can be controlled to manufacture a fire extinguishing drone.

The drone manufacturing system 700 manufactures the third modification target circuit member based on the third modification placement information, and combines the third modification target circuit member with the low-temperature distribution drone 400 housing or fire extinguishing drone housing to achieve low-temperature distribution. The control device 100 may control the drone manufacturing system 700 through request information to manufacture the drone 400 for firefighting or the drone for firefighting. The drone manufacturing system 700 may include, but is not limited to, a cutting machine, a press machine, etc.

According to an embodiment of the present application, the drone manufacturing system 700 receives the request information by inputting a chip cutting image, a chip fixation image, a device cutting image, and an element fixation image, and detecting defects in the board for the target circuit member and the chip fixation. Based on the artificial neural network built through learning with the results and detection of defects in the fixation of the board and device for the target circuit member as output, defects in the fixation of the board and chip for the target circuit member or defects in the fixation of the board and device for the target circuit member are detected. If detected, the placement information can be modified to prevent defects in fixing the board and chip for the target circuit member, or defects in fixing the board and elements for the target circuit member, and control can be performed to derive fourth modified placement information.

As an example, the drone manufacturing system 700 receives a chip cutting image, a chip fixing image, a device cutting image, and a device fixing image as inputs, and the result of detecting defects in the board and chip fixation for the target circuit member and the board and device for the target circuit member. At least one of the chip cutting image, chip fixing image, device cutting image, and device fixing image is input to an artificial neural network (hereinafter referred to as 'artificial neural network a') constructed through learning that uses the fixing defect detection result as an output. Then, if at least one of defective chip cutting, defective chip fixation on the target circuit member board, defective element cutting, and defective element fixation on the target circuit member board is detected in the output, the drone manufacturing system 700 performs the target circuit. To prevent defects in the fixation of boards and chips for members, or defects in the fixation of boards and elements for target circuit members, the part corresponding to the defective part detected in the placement information is corrected (for example, by modifying the cutting width or length of the chip). 4 Crystal placement information can be derived.

In addition to the LSTM algorithm, artificial neural network a analyzes time series data reflecting the chip cutting process, chip settling process, device cutting process, and device settling process, including the Attention algorithm, Transformer algorithm, and BERT (Bidirectional Encoder Representations from Transformers) algorithm. It may include an artificial intelligence algorithm based on time series data analysis that identifies defect types related to chips or devices on the target circuit member. In other words, the present application may include various algorithm models based on time series data analysis that are already known or developed in the future.

For example, an artificial neural network may be created through artificial intelligence-based learning such as machine learning or deep learning, but is not limited to this, and various neural networks have been developed or will be developed in the future. The system can be applied.

According to an embodiment of the present application, the request information is such that the drone manufacturing system 700 manufactures the fourth modification target circuit member based on the fourth modification placement information, and a low-temperature distribution drone equipped with the fourth modification target circuit member (400) Alternatively, it can be controlled to manufacture a fire extinguishing drone.

The drone manufacturing system 700 manufactures the fourth modification target circuit member based on the fourth modification placement information, and combines the fourth modification target circuit member with the low-temperature distribution drone 400 housing or fire extinguishing drone housing to achieve low-temperature distribution. The control device 100 may control the drone manufacturing system 700 through request information to manufacture the drone 400 for firefighting or the drone for firefighting. The drone manufacturing system 700 may include, but is not limited to, a cutting machine, a press machine, etc.

According to an embodiment of the present application, the output is a detection result of a chip fixation defect and a detection result of a device assembly defect based on the chip fixation image and the device fixation image, under the assumption that the cutting of the chip bundle and the device bundle by the cutter is normal. It can be included.

For example, with regard to artificial neural network a, assuming that the cutting of the chip bundle and device bundle by the cutter is done without defects, when the chip fixation image and the device fixation image are input to the artificial neural network a, the output of artificial neural network a is It may include a detection result for defects in the chip fixation process on the target circuit member board and a detection result for defects in the element fixation process on the target circuit member board.

According to an embodiment of the present application, the request information is obtained through learning in which the drone manufacturing system 700 receives a chip fixation image and a device fixation image as inputs and outputs the detection result of chip fixation defect and the result of device fixation defect. When defective chip fixation and defective element fixation are detected based on the constructed artificial neural network, the placement information is modified to prevent defective fixation of the board and chip for the target circuit member, or defective fixation of the board and device for the target circuit member, and the 5th amendment is made. It can be controlled to derive batch information.

As an example, the drone manufacturing system 700 calculates an artificial neural network b in artificial neural network a, which assumes that the cutting of the chip bundle and device bundle by the cutter was done without defects, and provides a chip fixation image and a device fixation image in artificial neural network b. As input, learning is performed to determine whether the detection result of chip fixation defect and device fixation defect result are output, and from the output of the chip fixation image and device fixation image as input to the artificial neural network b, the results of chip fixation defect and device fixation defect are selected. If at least one defect is detected, the drone manufacturing system 700 selects a part corresponding to the defective part detected in the batch information to prevent defects in fixing the board and chip for the target circuit member or defects in fixing the board and elements for the target circuit member. The fifth modification arrangement information can be derived by modifying (for example, modifying the chip anchoring position or modifying the element anchoring position).

Artificial neural network b analyzes the chip or device on the target circuit member through analysis of time series data that reflects the chip settlement process and device settlement process, such as the Attention algorithm, Transformer algorithm, and BERT (Bidirectional Encoder Representations from Transformers) algorithm, in addition to the LSTM algorithm. It may include an artificial intelligence algorithm based on time series data analysis that identifies related defect types. In other words, the present application may include various algorithm models based on time series data analysis that are already known or developed in the future.

According to an embodiment of the present application, the request information is such that the drone manufacturing system 700 manufactures the fifth modification target circuit member based on the fifth modification placement information, and a low-temperature distribution drone equipped with the fifth modification target circuit member (400) Alternatively, it can be controlled to manufacture a fire extinguishing drone.

The drone manufacturing system 700 manufactures a circuit member subject to the fifth modification based on the fifth modification arrangement information, and combines the circuit member subject to the fifth modification with the low-temperature distribution drone 400 housing or fire extinguishing drone housing to achieve low-temperature distribution. The control device 100 may control the drone manufacturing system 700 through request information to manufacture the drone 400 for firefighting or the drone for firefighting. The drone manufacturing system 700 may include, but is not limited to, a cutting machine, a press machine, etc.

According to an embodiment of the present application, the request information is provided by the drone manufacturing system 700, which determines the type of cause of the defect through an artificial neural network that inputs a chip cut image and a device cut image associated with detection of fixation defect, and determines the type of cause of the defect. It can be controlled to derive batch information by avoiding .

As an example, the drone manufacturing system 700 can build an artificial neural network c that uses the chip cutting image and device cutting image corresponding to the fixing defect previously detected through the artificial neural network b as input and the detected fixing defect type as output. there is. The drone manufacturing system 700 inputs the chip cutting image and device cutting image in which fixing defects are detected through the artificial neural network b to the artificial neural network c, and can derive batch information with modifications to avoid the output cause type of defect.

The artificial neural network c may include a clustering algorithm based on unsupervised learning. Unsupervised learning refers to an algorithm that learns by analyzing or clustering the data itself rather than constructing learning data. The drone manufacturing system 700 can determine the type of defect cause based on an unsupervised learning-based clustering algorithm. Specifically, the drone manufacturing system 700 can calculate the defect cause type by clustering chip cutting images and device cutting images associated with fixation defect detection based on a clustering algorithm. By way of example, the clustering algorithm for unsupervised learning may include a logistic regression algorithm, a random forest algorithm, a Support Vector Machine (SVM) algorithm, a decision-making algorithm, and a clustering algorithm, but is not limited thereto.

According to an embodiment of the present application, the request information is such that the drone manufacturing system 700 derives first arrangement information including area information and location information of the chip attachment area corresponding to each of the plurality of chips, based on the drawing information. You can control it to do so.

As an example, the drone manufacturing system 700 derives first arrangement information including area information and location information of the chip attachment area corresponding to each of the plurality of chips based on the acquired drawing information, and the first arrangement information includes the arrangement information. Information may be included.

According to an embodiment of the present application, the request information is generated by the drone manufacturing system 700 based on drawing information, and includes area information, location information, and device color information of the device bonding area corresponding to each of the plurality of devices. It can be controlled to derive batch information.

As an example, the drone manufacturing system 700 derives second arrangement information including area information, location information, and device color information of the device bonding area corresponding to each of the plurality of devices based on the acquired drawing information, Batch information may be included in batch information.

According to an embodiment of the present application, the request information is provided by the drone manufacturing system 700 based on drawing information, n (n is a positive integer, n>1) layer type information and n corresponding to each of the plurality of layers. (n is a positive integer, n>1) It can be controlled to derive third arrangement information including layer order information.

As an example, the drone manufacturing system 700 provides n (n is a positive integer, n>1) layer type information and n (n is a positive integer, n) corresponding to each of the plurality of layers based on the acquired drawing information. >1) Derive third arrangement information including layer order information, and the third arrangement information may be included in the arrangement information.

According to an embodiment of the present application, the request information is provided when the drone manufacturing system 700 identifies one of a plurality of chips in the image and includes the first arrangement information derived for the chip attachment area corresponding to the chip. Based on this, control can be made to determine the adhesion strength and surface contamination of the corresponding chip.

The drone manufacturing system 700 identifies any one chip among a plurality of chips included in the target circuit member in the image of the manufactured target circuit member, and generates a chip attachment area corresponding to any one of the identified chips. Based on the first batch information, the adhesion strength and surface contamination of the corresponding chip can be determined.

Illustratively, the drone manufacturing system 700 identifies the reference information (e.g., correct position information of reference points such as center, edge, etc.) for the chip position of the corresponding chip attachment area included in the first arrangement information and the image. The adhesion strength of the chip can be determined based on the deviation of actual information about the chip location, and the surface contamination level of the chip can be determined by determining the presence or absence of foreign substances in the area of the chip.

When a defect in a chip or device is detected by the drone manufacturing system 700, the target circuit member is moved to an area separate from the area where the multilayer printed circuit board (target circuit member) with no defect detected is loaded (defective product loading area). It can be transferred to a preset defective product loading unit (not shown). As another example, the image of the target circuit member for which a defect has been detected by the drone manufacturing system 700 and the analysis results of the image are sent to the drone manufacturer terminal 600 held by the manager, worker, etc. of the drone manufacturing system 700. It may be transmitted.

As a result of analyzing the image transmitted to the drone manufacturer terminal 600, information about the area where the defect was detected (in other words, a certain chip attachment area, element bonding area, etc. where the defect was found to exist) is compared to the remaining areas. It may be highlighted to distinguish it with the naked eye.

The drone manufacturing system 700 can perform fluorescence analysis on the manufactured target circuit member based on drawing information.

Meanwhile, the following describes an implementation of generating adjustment information linked to the control of the solder printer (not shown) and coater (not shown) included in the drone manufacturing system 700 by considering the shape analysis results of the target circuit member based on the drawing information. Let me explain an example.

The solder processing control unit (not shown) included in the drone manufacturing system 700 provides mask adjustment information for the solder printer that applies solder cream to the target circuit member based on the arrangement information for the identified chip attachment area and element bonding area. can be created. In addition, the coating processing control unit (not shown) included in the drone manufacturing system 700 is a coating device that sprays waterproofing material or fireproofing material on the target circuit member based on the arrangement information about the identified chip attachment area and element bonding area. injection adjustment information can be generated.

In this way, the drone manufacturing system 700 disclosed herein is used for vision inspection through analysis of the shape of the target circuit member to be manufactured through the drone manufacturing system 700, as well as various chips, devices, etc. provided on the target circuit member. First, determine the placement information, which is information about the spatial pattern occupied by the target circuit member, and perform various processes (e.g., SMT (Surface Mounter Technology) process) applied to the target circuit member by considering this placement information. Detailed parameters can be adjusted to suit your needs.

Figure 5 is a schematic conceptual diagram for explaining an embodiment of changing the spray pattern of a waterproof material according to the spray adjustment information of the drone manufacturing system 700 according to an embodiment of the present application.

Referring to FIG. 5, the coating module 510 provided in the coater according to an embodiment of the present application includes a first discharge portion 410a including a plurality of first holes 411a and a first discharge portion 410a. It may be provided in a dual structure including a second discharge portion 410b disposed on the lower side and including a plurality of second holes 411b.

In this regard, the first discharge part 410a and the second discharge part 410b are applied to the outside of the target circuit member through the coating module 510 according to the degree of overlap between the first hole 411a and the second hole 411b. It may be provided so that the hole area through which the waterproof coating material or fire prevention coating material sprayed onto the surface is discharged can be adjusted.

For example, in (a) of FIG. 5, the relative positions of the first discharge portion 410a and the second discharge portion 410b are adjusted so that the first hole 411a and the second hole 411b overlap to the maximum. The total hole area where the coating material is sprayed is relatively large, and Figure 5(b) shows the degree of overlap between the first hole 411a and the second hole 411b, as shown in Figure 5(a). By adjusting the relative positions of the first discharge part 410a and the second discharge part 410b to decrease compared to , the total hole area through which the coating material is discharged may be relatively small.

In this regard, the drone manufacturing system 700 adjusts the relative positions of the first discharge part 410a and the second discharge part 410b based on the arrangement information of the target circuit member derived by the drone manufacturing system 700. By changing the hole overlap area of the plurality of holes 511a and 511b, the discharge pressure or spray area of the coating material can be increased or decreased for each part.

According to an embodiment of the present application, the request information is, if the adhesion strength of the chip determined by the drone manufacturing system 700 is less than or equal to a preset strength or the surface contamination is greater than or equal to a preset level, the drone manufacturing system 700 produces the chip. The first batch information can be modified so that the adhesion strength exceeds the preset strength and the surface contamination degree is less than the preset level, thereby deriving chip modified batch information.

If the adhesion strength of the chip determined by the drone manufacturing system 700 based on the image of the target circuit member and the derived first arrangement information is less than or equal to a preset strength or the surface contamination is greater than or equal to a preset level, the drone manufacturing system 700 ) The chip modified batch information can be derived by modifying the first batch information so that the adhesion strength of the corresponding chip exceeds the preset strength and the surface contamination degree is less than the preset level.

According to an embodiment of the present application, the request information is such that the drone manufacturing system 700 manufactures a circuit member to be chip modified based on the chip modification arrangement information, and the drone 400 for cold distribution having the circuit member to be chip modified Alternatively, it can be controlled to manufacture fire-fighting drones.

The drone manufacturing system 700 manufactures a circuit member subject to chip modification based on the chip modification arrangement information, and combines the circuit member subject to chip modification with the low-temperature distribution drone 400 housing or fire extinguishing drone housing to create a low-temperature distribution drone ( 400) or the control device 100 may control the drone manufacturing system 700 through request information to manufacture a fire-fighting drone.

According to an embodiment of the present application, the request information is provided when the drone manufacturing system 700 identifies one of a plurality of elements in the image and includes second arrangement information derived for the element combination area corresponding to the element. Based on this, control can be made to determine insertion defects associated with incorrect insertion or reverse insertion of the corresponding device.

The drone manufacturing system 700 identifies any one element among a plurality of elements included in the target circuit member in the image of the manufactured target circuit member, and generates an element combination area corresponding to any one of the identified elements. Based on the second arrangement information, insertion coupling associated with misinsertion or reverse insertion of the corresponding element can be determined.

According to an embodiment of the present application, the request information is controlled to derive first element corrected arrangement information by modifying the second arrangement information to avoid the insertion defect if an insertion defect determined by the drone manufacturing system 700 exists. can do.

If there is an insertion defect of an element determined by the drone manufacturing system 700 based on the image of the target circuit member and the derived second arrangement information, the drone manufacturing system 700 takes steps to prevent the insertion defect of the element from occurring. 2. The first element corrected arrangement information can be derived by correcting the incorrect or reverse insertion part of the arrangement information.

According to an embodiment of the present application, the request information is such that the drone manufacturing system 700 manufactures the first element modification target circuit member based on the first element modification arrangement information, and manufactures the first element modification target circuit member at a low temperature. It can be controlled to manufacture a distribution drone 400 or a fire extinguishing drone.

The drone manufacturing system 700 manufactures the first element correction target circuit member based on the first element modification arrangement information derived by the drone manufacturing system 700, and manufactures the first element modification target circuit member and the low-temperature distribution drone (400). ) The control device 100 can control the drone manufacturing system 700 through request information to manufacture a low-temperature distribution drone 400 or a fire extinguishing drone by combining the housing or the fire extinguishing drone housing.

According to an embodiment of the present application, the request information may be used to control the drone manufacturing system 700 to derive reference color information of a merge inspection area including at least two element combination areas.

The drone manufacturing system 700 may derive reference color information of the merge inspection area including the device combination area of at least two of the plurality of devices identified by the drone manufacturing system 700 from the image of the target circuit member.

The merge inspection area may include a chip attachment area, a device bonding region, and at least two device bonding regions. A merge inspection area can be derived by dividing one target circuit member into a plurality of areas.

In this regard, various elements such as connectors and condensers inserted into the target circuit member are typically arranged in colors that are differentiated from each other depending on the type of element, and in this regard, the drone manufacturing system 700 varies depending on the type of the target circuit member. The element color information of the element combination area can be derived so that the standard for determining whether the correct element has been properly inserted into the element combination area can be variably set in response to changes in the design of the target circuit member.

Recently, multiple chips, devices, etc. are mounted on printed circuit boards, and when multiple devices are inserted into a target circuit member, individual vision inspection of each device bonding area is required to determine device insertion defects. The time and computational resources required may be excessive.

In consideration of this, the drone manufacturing system 700 demarcates a merge inspection area encompassing at least two or more device combination areas, and provides reference color information representing the set merge inspection area (e.g., a portion forming the merge inspection area (pixels) ), the average value of the color value, etc.) is derived, and as a primary vision inspection performed by the drone manufacturing system 700, the color of the merge inspection area is identified as a whole, and the color of the identified merge inspection area is previously derived. By determining whether the color is within the set color range considering the reference color information, it is possible to quickly determine whether the insertion defect of each device occurred within the corresponding merge inspection area.

This imaging device 500 may include a camera module that is disposed above the vision inspection jig in the drone manufacturing system 700 and captures an image of a target circuit member being input (entered) below.

According to an embodiment of the present application, the request information is generated when the drone manufacturing system 700 detects an insertion defect when the actual color information of the portion corresponding to the merge inspection area in the image is outside the preset color range based on the reference color information. It is determined that this has occurred, and the second arrangement information is modified so that the actual color information exists within a preset color range based on the reference color information, so that the second element corrected arrangement information is derived.

In the image of the target circuit member, the actual color information of the portion corresponding to the merge inspection area including at least two element combination areas among the plurality of elements identified by the drone manufacturing system 700 is derived by the drone manufacturing system 700. If the color exceeds the preset color range based on the reference color information, the drone manufacturing system 700 determines that an insertion defect of the element has occurred, and the drone manufacturing system 700 determines that an element insertion defect has occurred based on the judgment result of the drone manufacturing system 700. Thus, the second element modified arrangement information can be derived by modifying the second arrangement information so that the actual color information exists within a preset color range compared to the reference color information.

According to an embodiment of the present application, the request information is such that the drone manufacturing system 700 manufactures the second element modification target circuit member based on the second element modification arrangement information, and low temperature It can be controlled to manufacture a distribution drone 400 or a fire extinguishing drone.

The drone manufacturing system 700 manufactures a circuit member to be modified for the second element based on the second element modification arrangement information, and combines the circuit member to be modified for the second element with the housing of the drone 400 for low-temperature distribution or the drone housing for fire extinguishing. Thus, the control device 100 can control the drone manufacturing system 700 through the request information to manufacture the drone 400 for cold distribution or the drone for fire extinguishing.

According to an embodiment of the present application, the request information is provided by the drone manufacturing system 700 to the device in which the insertion defect occurred based on the second arrangement information of each of at least two device combination areas included in the merge inspection area in which the insertion defect was detected. and can be controlled to specify the type of insertion defect.

The drone manufacturing system 700 may specify the device in which an insertion defect occurred and the insertion defect type of the device based on the second arrangement information of each of at least two device combination areas included in the merge inspection area in which the insertion defect was detected. .

According to an embodiment of the present application, the request information may be used to control the drone manufacturing system 700 to derive placement information to prevent the device in which a specified insertion defect occurs and the type of insertion defect from occurring.

The drone manufacturing system 700 may modify and derive the arrangement information so that the device in which an insertion defect occurs and the type of insertion defect specified by the drone manufacturing system 700 do not occur.

According to an embodiment of the present application, the request information is provided when the drone manufacturing system 700 identifies any one layer among a plurality of layers in the image and includes the third arrangement information derived for the layer arrangement area corresponding to the corresponding layer. Based on this, control can be made to determine the shape accuracy of the corresponding layer.

The drone manufacturing system 700 identifies any one layer among the plurality of layers included in the target circuit member in the image of the manufactured target circuit member, and uses the drone manufacturing system 700 for the layer arrangement area corresponding to the identified corresponding layer. ) The shape accuracy of the corresponding layer can be determined based on the third arrangement information derived by ).

According to an embodiment of the present application, the request information is, if the shape accuracy of the layer determined by the drone manufacturing system 700 is less than a preset degree, the third arrangement information is modified so that the shape accuracy of the layer is more than a preset degree. This can be controlled to derive layer modification placement information.

If the shape accuracy of the layer determined by the drone manufacturing system 700 is less than a preset level, the drone manufacturing system 700 corrects the layer by modifying the third arrangement information so that the shape accuracy of the layer is more than the preset level. Information can be derived.

According to an embodiment of the present application, the request information is such that the drone manufacturing system 700 manufactures a circuit member to be layer modified based on the layer modification arrangement information, and the low-temperature distribution drone 400 provided with the circuit member to be layer modified. Alternatively, it can be controlled to manufacture fire-fighting drones.

The drone manufacturing system 700 manufactures a circuit member subject to layer modification based on the layer modification arrangement information, and combines the circuit member subject to layer modification with the cold distribution drone 400 housing or fire extinguishing drone housing to create a cold distribution drone ( 400) or the control device 100 may control the drone manufacturing system 700 through request information to manufacture a fire-fighting drone.

Figure 6 is a diagram schematically showing an air supply damper 800 controlled through a fire extinguishing drone according to an embodiment of the present application.

Referring to FIG. 6, the fire suppression device can control the air supply damper 800 provided in the target frozen warehouse through a fire extinguishing drone. A fire-fighting drone may be equipped with a fire detection sensor and a differential pressure sensor. In addition, although not shown in the drawing, the user terminal provides critical differential pressure information required to be set in order to perform the differential pressure information-based air supply damper 800 control process described in detail below, and a time standard for controlling the air supply damper 800 to close. User input for setting the in-control time, etc. can be transmitted to the fire suppression device.

In the description of the embodiment of the present application, the air supply damper 800 is installed in a predetermined area between the air supply duct 920 and the target space 1, and is supplied through the air supply duct 920 by the air supply fan 910. It may be a structure that is at least partially open to supply external air to the target space 1 or closed to block the inflow of external air. In other words, the air supply damper 800 may be provided to supply external air to the target space 1.

Meanwhile, according to the embodiment of the present application, the air supply damper 800 may be a louver type damper having a plurality of damper blades, but is not limited thereto. As another example, the air supply damper 800 may be a flat damper whose opening rate is adjusted by moving the flat member forward and backward. In this regard, the way the fire suppression device controls the opening rate (opening rate) of the air supply damper 800 is by adjusting the angle of the damper blade depending on the type of the air supply damper 800 and adjusting the forward and backward degree of the plate. It can be determined in various ways, etc. In this regard, referring to FIG. 6, the fire suppression device transmits a control signal generated in consideration of the differential pressure information formed in the target space 1 to the air supply damper 800 side controller 801, as described below. By doing so, the opening rate (opening ratio) of the air supply damper 800 can be controlled.

Additionally, in the description of the embodiment of the present application, the fire detection sensor may detect whether a fire has occurred within the target frozen warehouse. Additionally, if a fire occurs within the target frozen warehouse, the fire detection sensor can transmit a fire detection signal to the fire suppression device to notify the fire situation.

For reference, the fire doors on each floor of the target frozen warehouse linked to the intelligent frozen warehouse floor air conditioning control system 10 disclosed herein pressurize the air supply to the smoke control area on each floor in response to the fire detection signal generated by the fire detection sensor. It may be closed immediately after a fire to allow this to occur. In other words, the fire doors on each floor can be controlled to close when a fire occurs in conjunction with a fire detection signal, and the fire doors on each floor can be opened due to evacuation of occupants, etc., as described later, and in this way, the target space ( When the shielding door provided in 1) is opened, the differential pressure formed in the target space 1 may be reduced through air supply pressure using the air supply damper 800.

In addition, the fire detection sensor can be understood as a concept that encompasses various detectors (sensors) that measure signals that can determine whether a fire has occurred, such as heat detectors, smoke detectors, gas detectors, and human body detectors.

Additionally, according to an embodiment of the present disclosure, when a fire occurs in a target frozen warehouse, the fire detection sensor can detect information associated with the location of the fire. At this time, the fire detection sensor can transmit information related to the detected location of the fire to the fire suppression device.

Additionally, in the description of the embodiment of the present application, the user terminal may refer to a device owned by the manager/operator of the intelligent refrigerated warehouse floor air conditioning control system 10.

Figure 7 is a diagram schematically showing the structure of a multi-story frozen warehouse equipped with an air supply damper 800 and an air supply fan controlled through a fire extinguishing drone according to an embodiment of the present application.

Referring to FIG. 7, the target frozen warehouse linked to the intelligent frozen warehouse floor air conditioning control system 10 disclosed herein may be composed of a plurality of floors, and accordingly, the target space 1 may be individually formed on each floor. In addition, a plurality of air supply dampers 800 corresponding to the individual target spaces 1 of each floor are arranged for each floor along the extending direction of the air supply windage 920 (for example, the vertical direction of the target frozen warehouse, etc.). You can. Additionally, referring to FIG. 7 , a window 11 may be installed in the target space 1 depending on the type of the target frozen warehouse.

In addition, referring to FIG. 7, in the description of the embodiment of the present application, the target space 1 is provided on each floor of the target frozen warehouse and may refer to an area corresponding to a smoke control zone. In addition, the target space (1) in this hospital is the space between the elevator door for entering and exiting the elevator and the interior (3), and may refer to a platform, annexed rooms, etc. connected to the adjacent area (2) such as special evacuation stairs provided in the target refrigerated warehouse. You can.

Figure 8 is a schematic plan view showing the structure of a predetermined floor of a multiple-story frozen warehouse equipped with an air supply damper 800 and an air supply fan controlled through a fire extinguishing drone according to an embodiment of the present application.

Referring to FIG. 8, the target space (1) has a first shielding door (D1) connecting the adjacent area (2) and the target space (1) and a second shielding door (D1) connecting the target space (1) and the indoor space (3). It may be provided with at least one of the closing doors (D2). According to the implementation example of the present application, the first shielding door (D1) may refer to a fire door formed in the target space (1). In addition, as an example, if the target frozen warehouse linked to the intelligent frozen warehouse floor air conditioning control system 10 is a complex building consisting of multiple floors, indoor (3) may mean an individual storage space on each floor within the target frozen warehouse. You can.

In addition, referring to FIG. 8, among the shielding doors formed in the target space (1) such as the elevator platform and auxiliary room provided in the target refrigerated warehouse, the second shielding door (D2) connected to the indoor space (3) is usually used in the target space. While it opens in the direction toward (1), the first shielding door (D1, fire door) connected to the adjacent area (2) is generally designed to open in the opposite direction towards the adjacent area (2).

In this regard, when a fire occurs, the target space (1) becomes a relatively high pressure compared to the adjacent area (2) or indoor (3) due to the external air supplied through the air supply damper (800) while the shield door is closed. A predetermined differential pressure may be formed between the space (1) and the adjacent area (2) or the target space (1) and the indoor space (3), but if the shielded door is opened due to evacuation of occupants, etc., the target space (1) The differential pressure decreases (in other words, the pressure difference with the adjacent area 2 or indoor 3 decreases), and thus the air supply damper 800 is opened again.

At this time, considering the opening direction of the shielding door, in the case of the second shielding door (D2) opening in the direction toward the target space (1), after the second shielding door (D2) is opened, the shielding door's own resilience, etc. Even if the shielding door is partially closed, the shielding door can be easily closed because the pressure on the target space (1) side is high, but the first shielding door (D1) that opens in the direction from the target space (1) toward the adjacent area (2) In this case, after the first shielding door (D1) is opened, the shielding door may be partially closed due to the shielding door's own restoring force, but leakage occurs from the relatively high pressure target space (1) to the adjacent area (2) ( Due to the flow of air (escaping), the first shielding door (D1) may remain at least partially open and not close.

In this state, in a state in which the first shielding door D1 is not completely closed, even if the air supply damper 800 is opened, a predetermined differential pressure (for example, a first critical differential pressure (for example, a first critical differential pressure described later) to form a smoke-proof wind speed in the target space 1 is applied. P ₁ ), etc.) cannot be formed by the air flow escaping through the first shielding door (D1), and an unexpected situation such as smoke flowing into the target space (1) may occur, and such shielding door opening may occur. The problem is that considering the structure in which the adjacent area 2 is formed to be connected as a whole inside the target refrigerated warehouse, the problem is not only when the fire door on a specific floor (for example, D in FIG. 7) is opened, but also when the adjacent floor (for example, D) is opened. This can also occur when the fire door (for example, D') of the upper floor of the fire floor, etc. is opened.

In this regard, the fire suppression device disclosed herein has an opening rate of the air supply damper 800 so that the open shielding door can be completely sealed again even after the shielding door provided in the target space 1 is opened due to evacuation of the occupants, etc. It is designed to properly control.

Below, the specific functions and operations of these fire suppression devices will be described.

The fire suppression device can obtain differential pressure information of the target space (1) corresponding to the smoke control area within the target refrigerated warehouse. For example, the fire suppression device may receive differential pressure information of the target space 1 measured by the differential pressure sensor 400 from the differential pressure sensor 400.

In addition, according to an embodiment of the present application, the fire suppression device may detect a non-closed reference state associated with the opening and closing of a shielding door provided in the target space 1 based on the received differential pressure information.

Specifically, the 'non-closed reference state' disclosed herein may mean a state in which the shielding door is not closed due to air leaking from the target space (1) upon opening of the shielding door provided in the target space (1). . In this regard, the fire suppression device can detect (estimate) that the shielded door of the target space (1) is not closed after being opened through analysis of the increase/decrease trend of the received differential pressure information over time. , when this non-closing reference state is detected, the air supply damper 800 can be controlled so that the shielding door can be closed, as will be described in detail below.

More specifically, according to an embodiment of the present application, the fire suppression device may determine that the shield door is open when the differential pressure information decreases below the first critical differential pressure preset for the target space 1. In other words, the fire suppression device provides the first differential pressure information after reaching the first critical differential pressure (P ₁ ), which is the differential pressure for forming a smoke-retardant wind speed in the target space (1) by pressurizing the air supply with the shield door closed. When measured in a range below the critical differential pressure (P ₁ ), the fire suppression device can detect that a change has occurred in the direction of reducing the differential pressure formed in the target space (1) due to the opening of the shielding door in the target space (1). .

In addition, according to an embodiment of the present application, the fire suppression device reduces the differential pressure information to less than the second critical differential pressure (P ₂ ), which is preset to a value smaller than the first critical differential pressure (P ₁ ), and then again reduces the second critical differential pressure (P ₂ ) If a change pattern of differential pressure information rising to above 2) is detected, it can be determined that the above-described non-closing reference state has been reached.

More specifically, immediately after the shielding door of the target space (1) is opened, the differential pressure of the target space (1) decreases, and then, as the differential pressure decreases, the air supply damper (800) is opened again to enter the target space (1). If the shielding door is partially closed due to the shielding door's own restoring force while the supply air is pressurized again, the differential pressure may rise again rapidly. In consideration of this, the fire suppression device disclosed herein primarily determines the opening of the shielding door based on the information on the differential pressure decreasing from the first critical differential pressure (P ₁ ), and then the rapidly reduced differential pressure becomes the second critical differential pressure (P ₂ ). If it rises again to the above value, it can be determined that the non-closed reference state has been reached, considering that the shielding door is at least partially closed.

Subsequently, when the non-closed reference state is detected, the fire suppression device may control the air supply damper 800 so that the air supply damper 800 is closed for a preset control time (T ₁ in FIG. 9, described later).

In other words, in the case of a fire suppression device, in the case of a conventional automatic differential pressure damper, even if the target space (1) corresponds to the non-closed reference state here, the differential pressure formed in the target space (1) is still less than the first critical differential pressure (P ₁ ). Because it is a section, the damper continuously maintains the open state, and unlike the shield door that cannot be closed due to the flow of air escaping through the open shield door from the target space (1), when a non-closed reference state is detected, at least During the preset control time (T ₁ ), the supply of external air to the target space (1) is stopped by closing the air supply damper 800, thereby preventing the air escaping through the open shield door during the control time (T ₁ ). By reducing the flow, the shield door can be induced to close without any external force.

On the other hand, according to an embodiment of the present application, the fire suppression device is a third critical differential pressure (P ₃ ) in which differential pressure information is set to a value as high as a preset interval differential pressure compared to the second critical differential pressure (P ₂ ) within the control time (T ₁ ). ) and the second critical differential pressure (P ₂ ) (in other words, when the differential pressure formed in the target space (1) rises to a level exceeding the third critical differential pressure (P ₃ )), the shielding door is closed. Considering that the air supply damper 800 is controlled to open, the air supply damper 800 can be controlled to pressurize the air supply in a general state to create a smoke-retardant wind speed in the target space 1.

Meanwhile, the first critical differential pressure (P ₁ ), the second critical differential pressure (P ₂ ), and the third critical differential pressure (P ₃ ), which are control parameters for determining the specific operation method of the fire suppression device according to the implementation of the present application. , control time (T ₁ ), etc. takes into account the type of target frozen warehouse, number of floors, area of a single floor, volume of target space (1), specifications of shielding door, etc., which are linked to the intelligent frozen warehouse floor air conditioning control system (10). It may be a customized setting. As another example, the various control parameters described above may have specific values determined based on user input applied to a user terminal that interacts with a fire suppression device.

As an example to aid understanding, the first critical differential pressure (P ₁ ) may be set to 50 Pa. Additionally, the second critical differential pressure (P ₂ ) may be set to 20 Pa. In addition, the interval differential pressure (P ₁ ) for setting the third critical differential pressure (P 1 ) ) can be set to 5Pa. That is, the second critical differential pressure (P ₂ ) is set to 20Pa, and the gap differential pressure ( ) is set to 5Pa, the third critical differential pressure (P ₃ ) may be set to 25Pa. Additionally, the control time (T ₁ ) may be set to 3 sec. However, the specific values for the settings of the above-described critical differential pressure and control time are not limited to the above examples, and as described above, the type, number of floors, and It may be set considering the area of a single floor, the volume of the target space (1), the specifications of the shielding door, etc.

In summary, the fire suppression device can set the first critical differential pressure (P- ₁ ) to form a smoke retardant wind speed in the target space (1) corresponding to the smoke control area within the target refrigerated warehouse. In addition, the fire suppression device uses a second critical differential pressure (P ₂ ) can be set. In addition, the fire suppression device uses an _interval differential pressure ( ) can be set, and based on this, the third critical differential pressure (P ₃ ) can be set. In addition, the fire suppression device has a control time (T), which means a temporal range for closing the air supply damper 800 based on differential pressure information corresponding to the section between the second critical differential pressure (P ₂ ) and the third critical differential pressure (P ₃ ). ₁ ) can be set.

Meanwhile, according to an embodiment of the present application, the fire suppression device operates in the target space 1 based on the first critical differential pressure (P ₁ ) to the third critical differential pressure (P ₃ ) input (set) through a user terminal, etc. It may be operated to determine the control time (T ₁ ) by calculating the minimum time that the air supply damper 800 must remain closed so that the open shield door can be closed. For example, the fire suppression device may determine the control time (T ₁ ) to be a predetermined level longer than the calculated minimum time.

Hereinafter, a PWM proportional control scenario of the air supply damper 800 performed based on differential pressure information performed by the fire suppression device will be described with reference to FIG. 9.

FIG. 9 is a diagram schematically showing the PWM proportional control flow of the air supply damper 800 performed based on differential pressure information of the target space obtained through a fire extinguishing drone according to an embodiment of the present application.

Referring to FIG. 9, a fire suppression device according to another embodiment of the present application has a plurality of differential pressures divided by a first critical differential pressure (P ₁ ), a second critical differential pressure (P ₂ ), and a third critical differential pressure (P ₃ ). The opening and closing of the air supply damper 800 can be actively controlled according to the differential pressure section corresponding to the differential pressure information of the target space 1 acquired in real time during the section.

Here, the plurality of differential pressure sections are the first section ('P2 tracking' section in Figure 9) ranging from 0 to the second critical differential pressure (P ₂ ), the second critical differential pressure (P ₂ ) to the third critical differential pressure (P ₃ ). The second section of the range ('Closed/P1 tracking' section in Figure 9) and the third section of the range from the third critical differential pressure (P ₃ ) to the first critical differential pressure (P ₁ ) ('P1 following' section in Figure 9) may include.

For example, assuming that the first critical differential pressure (P ₁ ) to the third critical differential pressure (P ₃ ) are set to values of 50 Pa, 20 Pa, and 25 Pa, respectively, the first section is a differential pressure section of 0 to 20 Pa, The second section may be a differential pressure section of 20 to 25 Pa, and the third section may be a differential pressure section of 25 to 50 Pa.

Specifically, when the differential pressure information corresponds to the first section, the fire suppression device can control the opening rate and PWM (Pulse Width Modulation) duty of the air supply damper 800 by tracking the second critical differential pressure (P ₂ ).

In addition, when the differential pressure information corresponds to the third section, the fire suppression device can control the opening rate and PWM (Pulse Width Modulation) duty of the air supply damper 800 by tracking the first critical differential pressure (P ₁ ).

More specifically, the fire suppression device follows the second critical differential pressure (P ₂ ) in the first section and increases the opening rate of the air supply damper 800 as differential pressure information closer to 0 Pa is obtained (in other words, the maximum opening rate at 0 Pa ( 100%), and as differential pressure information closer to the second critical differential pressure (P ₂ ) is obtained, the opening rate of the air supply damper 800 is reduced (in other words, the minimum opening rate (in other words, at the second critical differential pressure (P ₂ ) It can be controlled to be 0%).

In addition, the fire suppression device follows the first critical differential pressure (P ₁ ) in the third section and reduces the opening rate of the air supply damper 800 as differential pressure information closer to the first critical differential pressure (P ₁ ) is obtained (in other words, It can be controlled to have a minimum opening ratio (0%) at the first critical differential pressure (P ₁ ).

In this regard, controlling the PWM (Pulse Width Modulation) duty of the air supply damper 800 by following a specific critical differential pressure is specifically a control in which the PWM Duty increases as the distance from the critical differential pressure increases and the PWM Duty decreases as it approaches the critical differential pressure. It can mean a way of doing something. In this regard, when the fire suppression device controls the air supply damper 800, information about the exact opening level of the air supply damper 800 (for example, the opening angle of each wing of the louver-type air supply damper 800, etc.) is provided. Since it cannot be determined in real time, the air supply damper 800 must be controlled considering the PWM Duty.

Additionally, the fire suppression device may control the air supply damper 800 so that when the differential pressure information enters the second section, the air supply damper 800 is closed for a preset control time (T ₁ ). At this time, the fire suppression device may control the air supply damper 800 to be opened if the differential pressure information deviates from the second section within a preset control time (T ₁ ) after the closing control of the air supply damper 800 is initiated.

In other words, the air supply damper 800, which is closed in the second section so that the shielding door provided in the target space 1 can be completely closed, is closed when the control time (T ₁ ) has elapsed from the time the closing control is performed or when the target space has passed. If the differential pressure information measured in (1) changes to deviate from the relevant section (second section), it can be opened again.

Specifically, the graph (solid line graph) shown at the bottom of FIG. 9 shows the change in differential pressure of the target space 1, and the graph (solid line graph) shown at the top of FIG. 9 shows the air supply according to the control of the fire suppression device. It indicates that the opening (opening) rate of the damper 800 changes.

First, looking at the section from the origin of FIG. 9 to point c, assuming that a fire is detected in the target frozen warehouse at the origin of the graph, after the fire occurs, the air supply damper 800 is opened and the air supply fan 910 is turned on. When driving and the fire door of the target space (1) is closed, the differential pressure of the target space (1) may rise, and when the differential pressure rises to the second critical differential pressure (P ₂ ) and the differential pressure information enters the second section (Figure 9 At point a), the air supply damper 800 may be controlled to close.

Subsequently, when the differential pressure continues to rise and the differential pressure rises to the third critical differential pressure (P ₃ ) and the differential pressure information passes the second section and enters the third section (at point b in FIG. 9), the air supply damper 800 1 It can be controlled to follow the critical differential pressure (P ₁ ). At this time, upon entering the second section, the air supply damper 800 may remain closed until the control time (T ₁ ), but the differential pressure at time b before the control time (T ₁ ) has elapsed reaches the second section. It can be seen that the air supply damper 800 is opened again.

Subsequently, when continuous air supply pressure is achieved and the differential pressure in the target space rises to the first critical differential pressure (P ₁ ), the air supply damper 800 may be controlled to close (at point c in FIG. 9 ).

Next, looking at section i in d of FIG. 9, it can be seen that the shielding door (fire door) provided in the target space 1 is opened at time d, and the differential pressure in the target space 1 rapidly decreases. As the differential pressure decreases rapidly, the differential pressure information enters the second section at time e (i.e., decreases below the third critical differential pressure (P ₃ )) and the air supply damper 800 is controlled to close, and the differential pressure continues to decrease. If it leaves the second section at time f (i.e., decreases below the second critical differential pressure (P ₂ )), it corresponds to the first section and the air supply damper 800 may be opened. Afterwards, when the air supply is pressurized and the previously opened shielding door is partially closed and the differential pressure in the target space (1) rises again and the differential pressure in the target space (1) re-enters the second section (at point g in FIG. 9), a fire occurs. The suppressor may control the air supply damper 800 to close for a preset control time (T ₁ ). However, since the differential pressure has risen beyond the second section at time h, which is before the elapse of time T1, The fire suppression device performs control corresponding to the third section, and may close the air supply damper 800 when the first critical differential pressure (P1) is reached at time i.

Next, sections j to n of FIG. 9 represent a control scenario when the shield door of the target space 1 and the door of the upper floor of the corresponding floor are opened, and at time k entering the second section, the fire suppression device is preset. The air supply damper 800 can be controlled to close during the control time (T1), and the air supply damper (800) is reopened at the point l when the control time (T1) has elapsed. However, after the control time ( _T1 ) has elapsed, By controlling the air supply damper 800 to open only up to a preset first standard opening rate (P _{α_RATE} ), the open shield door can be induced to close even after the control time (T ₁ ) has elapsed.

Meanwhile, referring to sections b to e, sections h to j, etc. of FIG. 9, the maximum opening rate of the air supply damper 800 in the third section is the second standard, which is a lower value than the first standard opening rate (P _{α_RATE} ) described above. It may be limited by the open rate (P _{2_RATE} ).

According to an embodiment of the present application, when a fire extinguishing drone enters the target frozen warehouse corresponding to fire information by controlling the fire suppression device, the fire suppression device sets smoke prevention wind speed in the target space corresponding to the smoke control zone in the target frozen warehouse. A first critical differential pressure to form and a second critical differential pressure to control the air supply damper 800, which is provided to supply external air to the target space, are set according to the open/closed state of the shielded door provided in the target space, and the second critical pressure is set. Based on the differential pressure, the third critical differential pressure is set to set the section for closing the air supply damper 800, the differential pressure information of the target space is acquired through the sensor module provided in the fire extinguishing drone, the first critical differential pressure, and The opening and closing of the air supply damper 800 can be controlled according to the differential pressure section corresponding to the differential pressure information among the plurality of differential pressure sections divided by the second critical differential pressure and the third critical differential pressure.

According to an embodiment of the present application, the second critical differential pressure may be set to a value smaller than the second critical differential pressure, and the third critical differential pressure may be set to a value between the first critical differential pressure and the second critical differential pressure.

According to an embodiment of the present application, the plurality of differential pressure sections include a first section ranging from 0 to the first critical differential pressure, a second section ranging from the second critical differential pressure to the third critical differential pressure, and the third critical differential pressure to the first critical differential pressure. It may include the third section of the range.

According to an embodiment of the present application, when the differential pressure information corresponds to the first section, the fire suppression device follows the second critical differential pressure to control the opening rate and PWM (Pulse Width Modulation) duty of the air supply damper 800, and the differential pressure. If the information corresponds to the third section, the opening rate and PWM (Pulse Width Modulation) duty of the air supply damper 800 can be controlled by tracking the first critical differential pressure.

According to an embodiment of the present application, when the differential pressure information enters the second section, the fire suppression device may control the air supply damper 800 so that the air supply damper 800 is closed for a preset control time.

According to an embodiment of the present application, if the differential pressure information deviates from the second section within the control time, the fire suppression device may control the air supply damper 800 to be opened.

Figure 10 is a diagram schematically showing an antenna device 1000 used to control a low-temperature distribution drone 400 or a fire extinguishing drone according to an embodiment of the present application.

Referring to FIG. 10, the antenna device 1000 according to an exemplary embodiment includes a first antenna 1010 operating in a first frequency band and a second antenna 1030 operating in a second frequency band stacked up and down. It is made up of a shape.

Here, the first antenna 1010 may be formed by arranging E-shaped antenna elements 1021, 1022, and 1023 in a grid shape on a first plane. The E-shaped antenna elements 1021, 1022, and 1023 may be formed by forming a plurality of first slots in the same direction in a square patch antenna to form the letter 'E'. According to one side, each of the E-shaped antenna elements 1021, 1022, and 1023 operates in the X band, and the first antenna 1010 composed of the E-shaped antenna elements can also operate in the X band.

Electromagnetic waves emitted by the first antenna 1010 are emitted toward the top of the first antenna 1010 and may be interrupted by the second antenna 1030.

The second antenna 1030 is parallel to the first plane where the first antenna 1010 is located, and is arranged to overlap the first antenna 1010 on a second plane located at the top of the first plane. The second antenna 1030 is a rectangular flat antenna, and may be an E-shaped antenna in which two slots are formed on one of the four sides of the rectangular shape to form the letter 'E'. According to one side, the second antenna 1030 can operate in the S band.

According to one side, the second antenna 1030 may include meshes 1031, 1032, and 1033 formed using a plurality of slots. Each of the meshes 1031, 1032, and 1033 may be located at the top of the E-shaped antenna element constituting the first antenna 1010. Electromagnetic waves emitted by the E-shaped antenna element may radiate through a plurality of slots constituting the mesh (1031, 1032, and 1033).

According to the embodiment shown in FIG. 10, the electromagnetic waves emitted from the first antenna 1010 pass through the meshes 1031, 1032, and 1033 included in the second antenna 1030 and radiate to the top of the antenna device 1000. It can be. Accordingly, performance degradation of the first antenna 1010 due to the second antenna 1030 can be minimized.

According to one side, the E-shaped antennas 1021, 1022, and 1023 constituting the first antenna 1010 can emit electromagnetic waves with a specific polarization. In this case, the direction of the slots constituting the meshes 1031, 1032, and 1033 may be determined so that electromagnetic waves emitted by the E-shaped antennas 1021, 1022, and 1023 can pass through the second antenna 1030.

Additionally, the polarization of the electromagnetic waves emitted by the second antenna 1030 may be determined to be different from the polarization of the electromagnetic waves emitted by the E-shaped antennas 1021, 1022, and 1023 constituting the first antenna 1010. If the polarization of the electromagnetic wave emitted by the second antenna 1030 is orthogonal to the polarization of the electromagnetic wave emitted by the E-shaped antennas 1021, 1022, and 1023, the electromagnetic wave emitted by the second antenna 1030 and the E-shaped antenna 1021, Interference between electromagnetic waves emitted by 1022 and 1023 can be minimized, and performance degradation of the first antenna 1010 and the second antenna 1030 can be minimized.

According to the embodiment shown in FIG. 10, a miniaturized antenna device 1000 can be configured by stacking a plurality of antennas operating in different frequency bands.

According to an embodiment of the present application, the control device 100 and the fire suppression device are an E-shaped antenna element in which a plurality of first slots in the same direction are formed in a rectangular flat patch antenna on a specific side among the four sides of the rectangle. a first antenna formed by arranging them in a grid shape on a first plane; It is parallel to the first plane and is arranged to overlap the first antenna on a second plane located at the top of the first plane, and includes a second antenna provided with a plurality of second slots formed in a direction perpendicular to the first slots. Any one of the cold distribution drone 400 and the fire extinguishing drone can be controlled using the antenna device 1000.

Below, we will briefly look at the operation flow of the present application based on the details described above.

Figure 11 is an operation flowchart of a control method of the intelligent refrigerated warehouse floor air conditioning control system 10 according to an embodiment of the present application.

The control method of the intelligent frozen warehouse floor air conditioning control system 10 shown in FIG. 11 can be performed by the intelligent frozen warehouse floor air conditioning control system 10 described above. Therefore, even if the content is omitted below, the contents described with respect to the intelligent frozen warehouse floor air conditioning control system 10 can be equally applied to the description of the control method of the intelligent frozen warehouse floor air conditioning control system 10.

Referring to FIG. 11, the control method of the intelligent refrigerated warehouse floor air conditioning control system 10 may include steps S11 to S15.

According to an embodiment of the present application, in step S11, the user terminal 300 may transmit a user input regarding the critical temperature range and the critical humidity range to the control device 100.

Next, in step S12, the control device 100 may receive a user input from the user terminal 300.

Next, in step S13, the control device 100 may set a critical temperature range and a critical humidity range based on user input.

Next, in step S14, the control device 100 may control the floor air conditioning device 200 so that the temperature and humidity inside the target frozen warehouse are within the critical temperature range and the critical humidity range, respectively.

Next, in step S15, the floor air conditioning device 200 provided at the bottom of the floor in the target frozen warehouse adjusts the temperature and humidity of the air outside the target frozen warehouse under the control of the control device 100 to provide processing outside air. It is possible to generate, supply processed outside air into the target frozen warehouse, and exhaust air from the target frozen warehouse to the outside of the target frozen warehouse.

In the above description, steps S11 to S15 may be further divided into additional steps or combined into fewer steps, depending on the implementation of the present disclosure. Additionally, some steps may be omitted or the order between steps may be changed as needed.

The control method of the intelligent refrigerated warehouse floor air conditioning control system 10 according to an embodiment of the present application may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., singly or in combination. Program instructions recorded on the medium may be specially designed and constructed for the present invention or may be known and usable by those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -Includes optical media (magneto-optical media) and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, etc. Examples of program instructions include machine language code, such as that produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

Additionally, the control method of the above-described intelligent refrigerated warehouse floor air conditioning control system 10 may also be implemented in the form of a computer program or application executed by a computer stored in a recording medium.

The description of the present application described above is for illustrative purposes, and those skilled in the art will understand that the present application can be easily modified into other specific forms without changing its technical idea or essential features. Therefore, the embodiments described above should be understood in all respects as illustrative and not restrictive. For example, each component described as unitary may be implemented in a distributed manner, and similarly, components described as distributed may also be implemented in a combined form.

The scope of the present application is indicated by the claims described below rather than the detailed description above, and all changes or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be construed as being included in the scope of the present application.

10: Intelligent refrigerated warehouse floor air conditioning control system
100: control device
200: Floor air conditioning device
300: User terminal
400: Drone for cold distribution
500: imaging device
600: Drone manufacturer terminal
700: Drone manufacturing system
800: Supply air damper
1000: Antenna device

Claims (33)

In the intelligent refrigerated warehouse floor air conditioning control system,
It is provided at the bottom of the floor in the target frozen warehouse, and is controlled by a control device, controls the temperature and humidity of the air outside the target frozen warehouse to generate processed outdoor air, and supplies the processed outdoor air to the inside of the target frozen warehouse. , a floor air conditioning device that exhausts air from the target freezer to the outside of the target freezer;
A critical temperature range and a critical humidity range are set based on the user input received from the user terminal, and the floor air conditioning device is installed so that the temperature and humidity inside the target frozen warehouse are within the critical temperature range and the critical humidity range, respectively. a control device that controls;
the user terminal transmitting the user input regarding the critical temperature range and the critical humidity range to the control device;
It is installed in the target frozen warehouse, and the first video of a person entering the target frozen warehouse, the second video of a person coming out of the target frozen warehouse, the third video of a low-temperature distribution drone entering the target frozen warehouse, and the target frozen warehouse A filming device for filming the fourth video of a drone for cold distribution; and
At least one cold distribution drone controlled by the control device and transporting target food between the target refrigerated warehouse and a refrigerated vehicle,
Including,
The control device is,
At least one drone for cold distribution is controlled to transport the target food, receives an image captured by the imaging device, compares the first image with a pre-stored image of a person to be permitted to enter, and places the target food in the target freezer. It is determined whether the person entering is a person permitted to enter, and the third video is compared with the pre-stored image of the cold distribution drone to be granted entry, and the drone entering the target frozen warehouse is the cold distribution drone permitted to enter. determine whether the person or the drone is recognized, and restrict entry and exit of the person or the drone according to the result of the judgment,
The control device is,
Receive and store in advance the video of a person or drone to be permitted to enter the target frozen warehouse, analyze the stored video of the person to generate a first video analysis result, and receive and analyze the first video captured by the imaging device. generate a second video analysis result, analyze the stored drone video to generate a third video analysis result, receive and analyze the third video captured by the imaging device, and generate a fourth video analysis result, The first image analysis result and the second image analysis result are compared to determine whether the person photographed by the imaging device is the same as the person permitted to enter the target frozen warehouse, and the third image analysis result and the fourth image analysis result are compared. By comparing the video analysis results, it is determined whether the drone captured by the imaging device is the same drone as the cold distribution drone permitted to enter the target frozen warehouse, and the entrance to the target frozen warehouse is opened or closed based on the judgment result. determines, and based on the judgment result, outputs the result corresponding to the judgment result in a recognizable form, and determines at least one of the moisture ratio, shape, flavor, component, weight, and expiration date of the target food entering the target freezer. identify one thing,
The control device is,
Determine the type of the target food based on the identification result,
The types of food subject to the above are:
Includes high-moisture target foods containing moisture above a preset critical moisture ratio and low-moisture target foods containing moisture below the critical moisture ratio,
The control device is,
If the type of target food is a high-moisture target food, an alarm is output, and a user input for setting the ratio of the high-moisture target food and the low-moisture target food to be stored in the target freezer is received, and by the user input Determining the opening or closing of the entrance of the target freezer according to a preset ratio and the type of target food entering the target freezer,
Intelligent refrigerated warehouse floor air conditioning control system. delete delete delete According to paragraph 1,
The control device is,
Receive user input for setting the type of the first target food to be stored in the target freezer, determine the type of the second target food to be stored in the target freezer, and determine the type of the first target food and the second target food. Compare the types of food and determine whether to open or close the entrance of the target freezer depending on whether the type of the first target food and the type of the second target food are the same,
The intelligent refrigerated warehouse floor air conditioning control system is,
A user terminal that receives data from the control device and transmits a control signal for opening or closing the entrance of the target freezer to the control device,
which further includes,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 5,
The user terminal is,
In conjunction with the identifier of each of the plurality of target freezers, information related to the entry and exit of people in the multiple target freezers, information on the type of target food stored, and the ratio of the above-mentioned high-moisture target food and the above-mentioned low-moisture target food to be stored in the target freezer. stores information about your settings,
Based on the stored information, a control signal for opening or closing the entrance of the plurality of target refrigerated warehouses is generated for each of the plurality of target refrigerated warehouses,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 6,
The control device is,
Count the number of people entering the target frozen warehouse based on the first image, count the number of people leaving the target frozen warehouse based on the second image, count the number of people entering the target frozen warehouse, and Detect the number of people inside the target freezer by comparing the number of people coming out of the target freezer,
Based on the third image, the number of drones for cold distribution entering the target frozen warehouse is counted, and based on the fourth image, the number of drones for cold distribution coming out of the target frozen warehouse is counted, and the target Detecting the number of drones for cold distribution inside the target freezer by comparing the number of drones for cold distribution entering the frozen warehouse with the number of drones for cold distribution coming out of the target frozen warehouse,
When the number of people and drones for cold distribution inside the target frozen warehouse detected by the control device is 0, the entrance to the target frozen warehouse is automatically closed,
Intelligent refrigerated warehouse floor air conditioning control system. In clause 7,
The intelligent refrigerated warehouse floor air conditioning control system is,
A fire detection sensor that detects fire or smoke within the target frozen warehouse; and
A fire suppression device that performs fire suppression activities in response to the detection result of the fire detection sensor,
which further includes,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 8,
The intelligent refrigerated warehouse floor air conditioning control system is,
At least one fire extinguishing drone controlled by the fire suppression device and performing the fire suppression activities,
The fire suppression device is,
Receive fire information occurring in the target refrigerated warehouse from the user terminal and the fire detection sensor, control at least one fire-fighting drone to perform fire suppression activities based on the fire information, and Transmitting evacuation request information to the user terminal located within a preset radius centered on the area, and transmitting fire extinguishment completion information to the user terminal when the fire is over,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 9,
The control device is,
Upon detecting the loss of the cold distribution drone or the fire extinguishing drone performing fire suppression activities, manufacture a cold distribution drone or fire extinguishing drone having a target circuit member corresponding to the circuit member included in the lost drone. Transmit request information requesting to do this to the drone manufacturer's terminal,
The request information controls the drone manufacturing system of the drone manufacturer,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 10,
If the fire has not ended and the fire extinguishing drone has been manufactured in the drone manufacturing system according to the request information, the fire suppression device is configured to detect the fire in the target frozen warehouse corresponding to the fire information by the manufactured fire extinguishing drone. Controlling to carry out suppression activities,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 11,
The requested information is:
The drone manufacturing system acquires drawing information including shape information of the target circuit member, derives arrangement information for a plurality of chips, a plurality of elements, and a plurality of layers based on the drawing information, and adds the arrangement information to the arrangement information. manufacturing the target circuit member based on the target circuit member, obtaining an image of the target circuit member on which the plurality of chips, the plurality of elements, and the plurality of layers are arranged, and manufacturing the target circuit member based on the arrangement information and the image. When detecting a defect associated with the attachment of each chip, the insertion of each of the plurality of elements, and the arrangement of each of the plurality of layers, the arrangement information is modified to prevent the defect to derive first corrected arrangement information, and the first corrected arrangement information is derived. Manufacturing a first modification target circuit member based on the first modification arrangement information, and controlling to manufacture a low-temperature distribution drone or fire extinguishing drone equipped with the first modification target circuit member,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 12,
The requested information is:
The drone manufacturing system collects chip cutting images of a cutter that cuts a bundle of chips connected to the plurality of chips into individual chips with a certain width and a certain length, and uses a press fit process to cut the plurality of chips into target circuit members. Collect a chip fixation image of a press machine fixing to a board, detect defects in the target circuit member board and chip fixation through the chip cutting image and the chip fixation image, and detect defects in the target circuit member board and the chip fixation. When detecting a defect, the arrangement information is corrected to prevent defects in the board for the target circuit member and the chip fixation to derive second correction arrangement information, and a second correction target circuit is made based on the second correction arrangement information. Manufacturing a member and controlling it to manufacture a drone for cold distribution or a drone for firefighting equipped with the circuit member subject to the second modification,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 13,
The requested information is:
The drone manufacturing system further collects device cutting images of a cutter that cuts a bundle of devices connected to the plurality of devices into individual devices having a certain width and a certain length, and cuts the plurality of devices into the object through the press fit process. Additional images of the element fixation of the press machine that are fixed to the board for the circuit member are collected, and defects in the target circuit member board and the element fixation are further detected through the element cutting image and the element fixation image. When a defect in the board and the element fixation is detected, the arrangement information is modified to prevent defects in the target circuit member board and the element fixation to derive third corrected arrangement information, and based on the third corrected arrangement information, Manufacturing a circuit member subject to third modification, and controlling to manufacture a drone for cold distribution or a drone for firefighting equipped with the circuit member subject to third modification,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 14,
The requested information is:
The drone manufacturing system inputs the chip cutting image, the chip fixing image, the device cutting image, and the device fixing image, and the target circuit member board and the defect detection result of the chip fixation and the target circuit member board. And when a defect in the target circuit member board and the chip fixation or a defect in the target circuit member board and the device fixation is detected based on an artificial neural network built through learning that outputs the detection result of the defect in the element fixation. , the fourth corrected arrangement information is derived by modifying the arrangement information to prevent defects in fixing the target circuit member board and the chip or defects in the target circuit member board and the element fixation, and the fourth corrected arrangement information is derived. Manufacturing a circuit member subject to the fourth modification based on and controlling to manufacture a drone for cold distribution or a drone for firefighting equipped with the circuit member subject to the fourth modification,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 15,
The output is,
On the assumption that the cutting of the chip bundle and the device bundle by the cutter is normal, it includes a detection result of a chip fixation defect and a detection result of a device coupling defect based on the chip fixation image and the device fixation image,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 16,
The requested information is:
The drone manufacturing system uses the chip fixation image and the device fixation image as input, and outputs the detection result of the chip fixation defect and the result of the device fixation defect based on an artificial neural network built through learning. When detecting a defect in the element fixation, the arrangement information is modified to prevent defects in the target circuit member board and the chip fixation or defects in the target circuit member board and the element fixation, thereby deriving fifth modified arrangement information; , Manufacturing a fifth modification target circuit member based on the fifth modification arrangement information, and controlling to manufacture a low-temperature distribution drone or fire extinguishing drone equipped with the fifth modification target circuit member,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 17,
The requested information is:
The drone manufacturing system determines the defect cause type through an artificial neural network that inputs a chip cutting image and a device cutting image linked to the detection of the chip fixation defect and the device fixation defect, and avoids the defect cause type to place the defect. Controlling information to be derived,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 18,
The requested information is:
The drone manufacturing system derives first arrangement information including area information and position information of the chip attachment area corresponding to each of the plurality of chips, based on the drawing information, and based on the drawing information, the plurality of chips. Derive second arrangement information including area information, position information, and device color information of the device combination area corresponding to each device, and based on the drawing information, n corresponding to each of the plurality of layers (n is Controlling to derive third arrangement information including a positive integer, n>1) layer layer shape information, and n (n is a positive integer, n>1) layer layer order information,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 19,
The requested information is:
The drone manufacturing system identifies one of the plurality of chips in the image, and the attachment strength and surface contamination of the corresponding chip are based on the first arrangement information derived for the chip attachment area corresponding to the corresponding chip. Determine that, if the adhesion strength of the chip is less than a preset strength or the surface contamination is more than a preset degree, the first adhesion strength of the chip exceeds the preset strength and the surface contamination is less than a preset degree. Modify the batch information to derive chip modified batch information, manufacture a circuit member subject to chip modification based on the chip modified batch information, and manufacture a drone for low-temperature distribution or a drone for firefighting equipped with the circuit member subject to chip modification. To control,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 20,
The requested information is:
The drone manufacturing system identifies one of the plurality of elements in the image, and erroneously inserts or reverses the corresponding element based on the second arrangement information derived for the element combination area corresponding to the corresponding element. Determine an insertion defect associated with, and if the insertion defect exists, modify the second arrangement information to avoid the insertion defect to derive first element correction arrangement information, and based on the first element correction arrangement information Manufacturing a first element modification target circuit member and controlling to manufacture a low-temperature distribution drone or fire extinguishing drone equipped with the first element modification target circuit member,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 21,
The requested information is:
The drone manufacturing system derives reference color information of a merge inspection area including at least two device combination areas, and actual color information of a portion corresponding to the merge inspection area in the image is based on the reference color information. If it is outside the set color range, it is determined that the insertion defect has occurred, and the second arrangement information is corrected so that the actual color information is within the preset color range based on the reference color information to derive second element corrected arrangement information. and manufacturing a second element correction target circuit member based on the second element correction arrangement information, and controlling to manufacture a low-temperature distribution drone or fire extinguishing drone equipped with the second element modification target circuit member,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 22,
The requested information is:
The drone manufacturing system specifies the device in which the insertion defect occurs and the type of the insertion defect based on the second arrangement information of each of the at least two device combination areas included in the merge inspection area where the insertion defect is detected, , Controlling to derive the arrangement information so that the specified device in which the insertion defect occurs and the type of the insertion defect do not occur,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 23,
The requested information is:
The drone manufacturing system identifies one of the plurality of layers in the image and determines the shape accuracy of the layer based on the third arrangement information derived for the layer arrangement area corresponding to the layer, , if the shape accuracy of the layer is less than a preset level, the third arrangement information is modified so that the shape accuracy of the layer is more than a preset level to derive layer correction arrangement information, and the layer based on the layer correction arrangement information Manufacturing a circuit member to be modified and controlling to manufacture a drone for cold distribution or a drone for firefighting equipped with the circuit member to be modified in the layer,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 24,
When the fire extinguishing drone enters the target frozen warehouse corresponding to the fire information under the control of the fire suppression device, the fire suppression device forms a smoke retardant wind speed in the target space corresponding to the smoke control zone in the target frozen warehouse. Set a first critical differential pressure for controlling the air supply damper provided to supply external air to the target space according to the open/closed state of the shielded door provided in the target space, and set the second critical differential pressure to the second critical differential pressure. Based on this, set a third critical differential pressure to set a section for closing the air supply damper, obtain differential pressure information of the target space through a sensor module provided in the fire extinguishing drone, and obtain the first critical differential pressure and the first critical differential pressure. Controlling the opening and closing of the air supply damper according to the differential pressure section corresponding to the differential pressure information among a plurality of differential pressure sections divided by the second critical differential pressure and the third critical differential pressure,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 25,
The second critical differential pressure is set to a value smaller than the second critical differential pressure, and the third critical differential pressure is set to a value between the first critical differential pressure and the second critical differential pressure,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 26,
The plurality of differential pressure sections are,
Comprising a first section in the range from 0 to the first critical differential pressure, a second section in the second critical differential pressure range to the third critical differential pressure range, and a third section in the third critical differential pressure range to the first critical differential pressure range. person,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 27,
If the differential pressure information corresponds to the first section, the fire suppression device follows the second critical differential pressure to control the opening rate and PWM (Pulse Width Modulation) duty of the air supply damper, and the differential pressure information is used in the third section. If it corresponds to the section, the opening rate and PWM (Pulse Width Modulation) duty of the air supply damper are controlled by tracking the first critical differential pressure,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 28,
When the differential pressure information enters the second section, the fire suppression device controls the air supply damper so that the air supply damper is closed for a preset control time,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 29,
If the differential pressure information deviates from the second section within the control time, the fire suppression device controls the air supply damper to open,
Intelligent refrigerated warehouse floor air conditioning control system. According to clause 30,
The control device and the fire suppression device,
A first antenna formed in a rectangular flat patch antenna in which E-shaped antenna elements including a plurality of first slots in the same direction are formed on a specific side among the four sides of the rectangle and arranged in a lattice shape on a first plane; A device is arranged to overlap the first antenna on a second plane that is parallel to the first plane and located at an upper end of the first plane, and is provided with a plurality of second slots formed in a direction perpendicular to the first slots. Controlling any one of the cold distribution drone and the fire extinguishing drone using an antenna device including 2 antennas,
Intelligent refrigerated warehouse floor air conditioning control system. delete delete

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