KR102651256B1 - Smart refrigeration and air conditioning system having and indoor air sterilization and IoT control and monitoring system - Google Patents

Abstract

The present invention relates to a smart refrigeration and air conditioning system with indoor air sterilization and IoT control and monitoring functions. The present invention relates to a refrigeration air-conditioning device and an IoT control unit that operates the refrigeration air-conditioning device and connects it so that the Internet of Things function can occur, a sensor unit that is connected to the IoT control unit to obtain sensing information and is controlled according to the external environment, and the IoT It is connected to the control unit and an Internet port, and is connected to a network with the IoT control unit and a power unit that generates power to the refrigeration air conditioning device by the operation of the IoT control unit, and transmits status information of the refrigeration air conditioning device transmitted from the IoT control unit to the outside. a management server that transmits the input driving instructions to the IoT control unit; a terminal that displays and inputs status information of refrigeration and air-conditioning devices transmitted from the management server, and transmits the displayed and input driving instructions to the management server; and an artificial intelligence module that transmits information analyzing the indoor environment to the terminal.

Description

Smart refrigeration and air conditioning system having and indoor air sterilization and IoT control and monitoring system {Smart refrigeration and air conditioning system having and indoor air sterilization and IoT control and monitoring system}

The present invention relates to a smart refrigeration and air conditioning system with indoor air sterilization and IoT control and monitoring functions. More specifically, it allows air conditioning and refrigeration devices without IoT (Internet of Things) functions to be used by devices with IoT functions, thereby enabling IoT. It is about a smart refrigeration and air-conditioning system with indoor air sterilization and IoT control and monitoring functions to control non-functional existing refrigeration and air-conditioning devices with smartphones.

In general, air conditioning refrigeration devices collectively refer to devices such as refrigerators or air conditioners that maintain a set space at a temperature lower than room temperature by forming an internal refrigeration cycle and circulating refrigerant.

The air-conditioning refrigeration device continuously circulates the refrigerant through compression, heat dissipation, expansion, and heat absorption processes through the compressor, condenser, expander, and evaporator that form the refrigeration cycle, and heat absorbed from the low temperature side where the evaporator is installed through the phase change process of the refrigerant. Discharge to the high temperature side where the condenser is installed.

Among these air-conditioned refrigeration devices, in particular, when the low-temperature side refrigerator or freezer where the evaporator is installed is formed into two or more separate refrigerators, such as kimchi refrigerators, double-door refrigerators, and four-door refrigerators, evaporators are installed in each refrigerator or freezer. An electronic expansion valve is used to automatically control the circulation of the refrigerant.

And, the Internet of Things (IoT) means that all objects in a certain environment have built-in basic sensors, are connected to each other through communication, and collect and receive big data collected in real time by the sensors to perform certain functions or collect data. It is an important technology and service environment that provides new value that did not exist before by analyzing the information provided.

In other words, the most important thing in the Internet of Things (IoT) is not only the simple connection between the Internet and objects, but also the creation of utility value that occurs when objects are connected and exchange information.

In recent years, taking advantage of the infinite development of smart devices, there has been a constant demand for the development of technology for systems that control and monitor air conditioning and refrigeration devices using the Internet of Things (Internet of Things) described above.

Republic of Korea Patent Publication No. 2019-0057019 Republic of Korea Patent Publication No. 2003-0071376 Republic of Korea Patent Publication No. 2011-0030304

In order to achieve this purpose, the present invention plays a role in refrigeration and air-conditioning devices such as air conditioners without smart control functions by adding IoT (Internet of Things) functions to refrigeration and air-conditioning devices through the IoT control unit and the Internet network. The goal is to provide a smart refrigeration and air conditioning system with indoor air sterilization and IoT control and monitoring functions.

In addition, the goal is to provide a smart refrigeration and air-conditioning system with indoor air sterilization and IoT control and monitoring functions that can control refrigeration and air-conditioning devices using artificial intelligence to achieve greater efficiency.

To achieve this purpose, in the smart refrigeration and air conditioning system with indoor air sterilization and IoT control and monitoring functions according to the present invention, a refrigeration air conditioning device and the refrigeration air conditioning device are operated and connected so that the Internet of Things function can occur. An IoT control unit and a sensor unit connected to the IoT control unit to obtain sensing information and controlled according to the external environment, connected to the IoT control unit and an Internet port, and a power unit that generates power to the refrigeration and air conditioning equipment by the operation of the IoT control unit. and a management server that is network-connected to the IoT control unit, externally transmits status information of the refrigeration air conditioning device transmitted from the IoT control unit, and transmits input operating instructions to the IoT control unit, and a refrigeration air conditioning device transmitted from the management server. It is characterized by including a terminal that displays and inputs status information and transmits the displayed and input driving instructions to the management server, and an artificial intelligence module that transmits information analyzing the indoor environment to the terminal.

In addition, the IoT control unit performs control of each unit, an input unit for connecting to the sensor unit to exchange signals, a communication unit for exchanging signals and data with the power unit, an interface unit for interfacing with the input unit and the communication unit, and each unit. It is characterized in that it includes an integrated control unit and an output unit that outputs an output signal for optimal control to the refrigeration and air conditioning device through the integrated control unit.

In addition, the sensor unit includes a temperature and humidity sensor that detects internal temperature and humidity, an air purification sensor that purifies external air and injects it into the indoor space, absorbs and collects suspended substances in the air, a virus detection sensor that detects viruses, and the sensor unit. It is characterized by consisting of a signal transmission unit that transmits sensor information detected in.

In addition, the sensor unit is characterized in that it further includes a power-off detection sensor for detecting a power supply interruption to the refrigeration and air conditioning device.

In addition, it operates when a signal is received through the signal transmission unit of the sensor unit, and further includes an air circulation device to measure the internal air concentration collected through the sensor unit, supply oxygen to the room, and prevent air pollution. It is characterized by

Therefore, the present invention has the effect of allowing conventional refrigeration and air-conditioning devices without IoT (Internet of Things) functions to be additionally equipped with IoT functions by connecting them to an IoT control unit.

In addition, the control method using artificial intelligence is effective in providing an excellent indoor environment by filtering and sterilizing indoor air circulated through a filter and circulating the air.

Figure 1 is a schematic diagram illustrating a smart refrigeration and air conditioning system with indoor air sterilization and IoT control and monitoring functions according to the present invention.
Figure 2 is a configuration diagram of a smart refrigeration and air conditioning system with indoor air sterilization and IoT control and monitoring functions according to the present invention.
Figure 3 is a configuration diagram of the IoT control unit.
Figure 4 is a photo for explanation of a wireless mesh network.
Figure 5 is a configuration diagram of the sensor unit.
Figure 6 is a configuration diagram of the sensor unit and the air circulation device.
Figure 7 is a flow chart of an air purification method using an air circulation device.
Figure 8 is a configuration diagram of an artificial intelligence module.
Figure 9 is a block diagram of the artificial intelligence unit of the artificial intelligence module.
Figure 10 is a block diagram showing the detailed configuration of a refrigeration air conditioning device and a management server.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the attached drawings. First, when adding reference numerals to components in each drawing, it should be noted that identical components are given the same reference numerals as much as possible, even if they are shown in different drawings.

Additionally, in the following description of the present invention, if a detailed description of a related known function or configuration is judged to unnecessarily obscure the gist of the present invention, the detailed description will be omitted.

In addition, it should be noted in advance that the terms used in this application are only used to describe specific embodiments, and are not intended to limit the invention, and that singular expressions also mean plural expressions unless the context clearly indicates otherwise. I want to leave it.

Figure 1 is a schematic diagram illustrating a smart refrigeration and air conditioning system with indoor air sterilization and IoT control and monitoring functions according to the present invention, and Figure 2 is a smart refrigeration system with indoor air sterilization and IoT control and monitoring functions according to the present invention. Figure 3 is a diagram of the configuration of the air conditioning system, Figure 3 is a diagram of the IoT control unit, Figure 4 is a photograph for explaining the wireless mesh network, Figure 5 is a diagram of the sensor part, and Figure 6 is a diagram of the sensor part and the air circulation device. , FIG. 7 is a flowchart of an air purification method using an air circulation device, FIG. 8 is a configuration diagram of an artificial intelligence module, FIG. 9 is a block diagram of the artificial intelligence unit of the artificial intelligence module, and FIG. 10 is a refrigeration diagram. This is a block diagram showing the detailed configuration of the air conditioning device and management server.

First, as shown in Figure 1, it is a schematic diagram of the indoor air sterilization and smart refrigeration air conditioning system of the present invention, which controls a general refrigeration and air conditioning device without any IoT (Internet of Things) function through various sensors, and By connecting the control unit that is controlled together with a smartphone, etc., a refrigeration and air-conditioning device that is virtually identical to one with the Internet of Things function is created, which is intended to prevent power consumption and provide a more comfortable living environment for people.

Hereinafter, the overall structure of the present invention will be described with reference to FIG. 2.

First, a refrigeration air-conditioning device 100 is shown. The refrigeration air-conditioning device 100 described in the present invention is a typical refrigeration air-conditioning device without a smart control function, such as an air conditioner outdoor unit, air purifier, refrigerator, and freezer. It is a general term for the following, and is a configuration that commonly includes a fan (not shown), a filter (not shown), and a coil (not shown) inside.

In addition, the refrigeration air conditioning device 100 may include an outdoor unit (not shown) and a refrigerator (not shown) in addition to an air conditioner (not shown), and a plurality of units are provided to enable multi-operation and individual control. In addition, the indoor air is circulated by controlling basic ventilation, exhaust, outdoor air, and supply air, and the indoor temperature is also controlled by adjusting the temperature.

Since the refrigeration and air-conditioning device 100 does not have an IoT (Internet of Things) function, the refrigeration and air-conditioning device 100 is operated by connecting the IoT control unit 200 and at the same time has an IoT (Internet of Thing) function. It plays a role in assisting this to occur.

In addition, the IoT control unit 200 and the power unit 400 are configured in the form of a protocol converter (not shown) of TCP/IP, a network transmission protocol, and the TCP/IP protocol converter is used to connect the refrigeration air conditioning device 100 and the Internet network. It is connected through.

In addition, the IoT control unit 200 is connected to the Internet network with one or more refrigeration and air-conditioning devices 100 through a TCP/IP protocol converter, and the controller (not shown) of the refrigeration and air-conditioning devices 100 uses the same communication standard. In connection with this, the operation data of the refrigeration and air-conditioning device 100 is collected and stored for each controller, and the operation instructions inputted through the web page or display unit of the terminal 600, which will be described later, are transmitted to the corresponding refrigeration and air-conditioning device 100. Therefore, when there are multiple refrigeration and air conditioning devices 100, efficient management is also possible.

Referring to FIG. 3, the IoT control unit 200 includes an input unit 210 for exchanging signals by connecting to the sensor unit 300, which will be described later, and a communication unit 220 for exchanging signals and data with the power unit 400. It largely consists of an interface unit 230 for interfacing with the input unit 210 and the communication unit 220, and an integrated control unit 240 for controlling each unit.

The input unit 210 is connected to the sensor unit 300 and is installed to periodically exchange signals with the sensor unit 300, and the communication unit 220 is a device with which communication is to be performed, such as a device to be communicated (described later). ) is to connect to the terminal 600, etc. to send and receive signals.

Then, an interface unit 230 with IoT functions is formed. The interface unit 230 is provided as an interface card such as serial, parallel, or PCI type that enables mutual data communication through a wireless LAN as well as an Internet network.

The interface unit 230 is provided as an interface card such as serial, parallel, or PCI type that enables mutual data communication through a sensor-sensitive wireless network (not shown) as well as a wireless LAN.

That is, the interface unit 230 ensures smooth two-way communication between the refrigeration and air conditioning device 10 and the sensor detection wireless network, and the sensor unit 300 includes a plurality of sensors 310, 320, 330, and 340. It also plays a role in operating lighting equipment within the facility.

In addition, the interface unit 230 is a general-purpose gateway that relays the transmission and reception of information for the Internet of Things (IoT) service between the plurality of sensors and the refrigeration air conditioner 100, so it also serves as a main controller for building an IoT wireless network. It is done.

This uses a microprocessor to transmit information for the Internet of Things (IoT) service to each sensor or receive the information from the sensors, transmit information for the Internet of Things service to the smartphone, or transmit information for the Internet of Things (IoT) service to the smartphone. The information is received from the device 100, and the sensor detection wireless network communicates with each sensor to transmit and receive information for the Internet of Things service, and also links with a terminal 600 such as a smartphone, and the refrigeration and air conditioning device ( 100) to transmit and receive information for IoT services and provide it.

To explain this in detail with reference to FIG. 4, this is because the sensor detection wireless network applies a wireless mesh network method as shown. Hereinafter, the wireless mesh network method will be briefly described with reference to the drawings.

In general, a typical wireless LAN environment is one in which a device called a wireless AP (Access Point) and wireless devices such as a laptop PC or PDA can use the Internet using a radio frequency of 24 GHz.

The existing wired network environment shown in the left photo is called an access point (AP), and all APs are connected by wire by connecting signals through a repeater or wireless router. If you look closely at this, the wireless section only consists of the AP and the laptop terminal, and the system (switch) that exchanges actual data with the AP is connected by wire.

Here, when the wireless mesh network applied to the present invention is introduced, it changes as shown in the figure on the right. At this time, a system that forms a wireless mesh network called a mesh node is used instead of the cable connected to the AP, making all sections wireless.

In other words, in the wireless mesh network shown in the picture on the right, when only the representative access point (AP) is connected by wire, wireless communication routers (devices that connect different networks) that act as antennas like existing wireless communication base stations are mesh nodes. This is a method of connecting all sections wirelessly. Therefore, by overcoming the limitations of existing wireless LANs, users can use the entire integrated organic network in a procedure similar to connecting to Wi-Fi.

Therefore, as described above, the sensor detection wireless network performs two-way communication with the sensor unit 300, provides a wireless network environment, and includes a plurality of sensors formed in the sensor unit 300, such as a temperature and humidity sensor 310 and an air purification sensor 320. , virus detection sensor 330, power off detection sensor 340, etc.

The integrated control unit 240 performs overall control of the input unit 210, communication unit 220, interface unit 230, air purification unit 250, and output unit 260 that constitute the IoT control unit 200. .

The air purification unit 250 supplies purified air to the indoor space to ventilate the indoor air.

Furthermore, the output unit 260 receives instructions from the IoT control unit 200 and outputs an output signal to the output control unit (not shown) to ensure optimized operation. A detailed description of optimal control using the output unit 260 will be described later.

The sensor unit 300 is connected to the IoT control unit 200 to obtain sensor detection information such as temperature and humidity of the room where the refrigeration and air conditioning device 100 operates, and according to the external environment (temperature due to external cold, heat, etc.) This is controlled.

Hereinafter, the sensor unit 300 will be described in more detail with reference to the drawings.

Referring to FIG. 5, the sensor unit 300 includes a temperature and humidity sensor 310 that detects internal temperature and humidity, and an air purification sensor 320 that purifies external air and injects it into the indoor space to adsorb and collect suspended substances in the introduced air. ), a virus detection sensor 330 that detects a virus, and a signal transmission unit 350 that transmits sensor information detected by the sensor unit 300.

Therefore, the temperature and humidity inside the indoor space subject to freezing of the refrigeration and air conditioning device 100 are detected through the temperature and humidity sensor 310. The temperature and humidity acquired through the temperature and humidity sensor 310 are provided to the IoT control unit 200 through the signal transmission unit 350, which will be described later, and the IoT control unit 200 automatically controls the temperature and humidity.

The air purification sensor 320 supplies purified air to the IoT control unit 200 so that indoor air can be ventilated. In other words, the IoT control unit 200 also works in conjunction with the air circulation device (A), which will be described later.

The air purification sensor 320 purifies the air flowing in from the outside, and when it flows into the room, a member (not shown) is formed to adsorb and collect air, which is transmitted through the signal transmitter 350 to the IoT control unit ( 200).

The virus detection sensor 330 generates a sensor signal when a virus at a certain concentration or higher is detected indoors, and notifies the air circulation device (A), which will be described later, to determine air pollution and discharge the contaminated air to the outside and supply oxygen. It is to allow it to happen.

The signal transmission unit 350 serves to wirelessly transmit various sensor information detected through the sensor unit 300, and receives the information by converting it into a signal through the signal transmission unit 350. Information such as the temperature and humidity sensor 310 of the unit 300 is received and transmitted to the IoT control unit 200.

Furthermore, the sensor unit 300 is also provided with a power-off detection sensor 340 to detect power supply or cutoff of the refrigeration and air conditioning device 100. The description of the technology by which the power-off detection sensor 340 supplies or cuts off power is omitted since it is a widely known technology.

When the power-off detection sensor 340 detects a power outage, such as electricity, of the refrigeration and air-conditioning device 100, it provides a control request signal to the terminal 600, which will be described later.

In this case, control request setting information such as “Request to check power on/off status” is displayed on the screen of the terminal 600 (not shown) through the sensor unit 300. Therefore, the current status of the refrigeration and air conditioning device 100 can be known even remotely.

In addition, the sensor unit 300 is further provided with an air circulation device operation sensor 360 that can operate the air circulation device (A).

The air circulation device operation sensor 360 operates the air circulation device (A) by applying a signal through the signal transmission unit 350, and measures the internal air concentration collected through the sensor unit 300, The air circulation device (A) supplies oxygen to the room and functions to prevent air pollution.

Figure 6 is a block diagram showing air purification by operating the air circulation device (A) through the air circulation device operation sensor 360 of the sensor unit 300.

As shown, the air circulation device (A) uses a sensor unit to detect air pollution and fine dust in order to provide clean air to the room where the refrigeration and air conditioning device 100 is installed or to collect fine dust indoors and discharge it to the outside. A signal is received from (300).

In the memory (A-4), the pre-standard air pollution level and indoor air pressure are stored as standard data.

The sensor unit 300 transmits signals of air pollution level and indoor air pressure to the control unit A-2. Then, the converter (A-1) outputs this as constant data.

The indoor air pollution level detected by the sensor unit 300 through the above-described process and converted into a signal through the converter (A-1) and the indoor air pressure are compared with reference data previously set in the memory (A-4). and transmits the results to the control unit (A-2).

Based on the results, the control unit (A-2) determines that the input data is greater than the standard data, which means that the indoor air pollution level is high and the indoor air pressure is high, so the control unit (A-2) controls By applying a signal, the oxygen supply unit (A-3) is turned on.

Therefore, based on the data detected through the sensor unit 300, a signal is transmitted and applied through the control unit (A-2) of the air circulation device (A), so that the control unit (A-2) operates the oxygen supply unit ( A-3) is configured to automatically turn on to purify indoor air and lower internal pressure.

That is, the sensor unit 300 detects air pollution and fine dust indoors by providing clean air indoors through the oxygen supply unit A-3 or collecting fine dust indoors and discharging it to the outside.

Figure 7 is a flowchart explaining a method of purifying indoor air using the air circulation device (A) of the present invention.

First, the sensor unit 300 detects the indoor air pollution level (S 10).

In this step, the degree of air pollution is detected through the temperature and humidity sensor unit 310, air purification sensor 320, and virus detection sensor 330 of the sensor unit 300.

Next, the sensor unit 300 detects the indoor air pollution level and indoor air pressure (S 20). The above step is to detect the degree of indoor air pollution and the air pressure of the operating air conditioning refrigeration device 100 through the temperature and humidity sensor unit 310, the air cleaning sensor 320, and the virus detection sensor 330.

In the next step, the sensor unit 300 detects the degree of air pollution and air pressure in the room and applies a certain signal to the converter A-1 (S30). In this step, the sensor unit 300 detects indoor and outdoor pollution levels and determines the air movement state.

The next step is to determine whether the indoor air pollution level and air pressure exceed the standard data preset in the memory (A-4) (S40).

If the indoor detection data exceeds the preset data, a signal is applied to the oxygen supply unit A-3 to operate the oxygen supply unit A-3 (S 50).

The oxygen supply unit (A-3) can make the indoor air pressure lower than the outdoor air pressure, and at the same time discharge the contaminated air inside to the outdoors.

The power supply unit 400 is protocol-connected to the IoT control unit 200 and a TCP/IP Internet port (not shown), and generates power to the refrigeration and air conditioning device 100 by the operation of the IoT control unit 200. It is.

The management server 500 is connected to the IoT control unit 200 and an Internet network, and transmits status information of the refrigeration and air conditioning device 100 transmitted from the IoT control unit 200 to the terminal 600, and the terminal 600 An operation instruction based on the state of the refrigeration and air conditioning device 100 input through is transmitted to the IoT control unit 200.

In addition, the management server 600 may display image information from the refrigeration and air-conditioning device 100 to be controlled by the IoT control unit 200 and transmit it to the display unit (not shown) of the terminal 600.

Therefore, the terminal 600 displays and inputs the status information of the refrigeration and air conditioning device 100 transmitted from the management server 500, and transmits an operation instruction based on the displayed status to the management server 500. .

Furthermore, the current status of the refrigeration and air conditioning device 100 can be confirmed in real time by receiving video information from the management server 500.

For reference, the terminal 600 can be replaced with a smartphone, tablet PC, desktop PC, workstation, etc. The artificial intelligence module 700 transmits indoor environment analysis information to the terminal 600.

Hereinafter, with reference to the drawings, control using the artificial intelligence module 700, which transmits information analyzing the indoor environment to the terminal 600, will be described.

As shown in FIG. 8, an artificial intelligence module 700 is provided for control using artificial intelligence. The artificial intelligence module 700 includes a detection unit 710, a database unit 720, and an analysis unit 730. , may include a control unit 740, a communication unit 750, and an artificial intelligence unit 760.

The detection unit 710 collects information detected by the temperature and humidity sensor 310, air cleanliness sensor 320, virus detection sensor 330, and air circulation device (A) of the sensor unit 300 and collects the information detected by the data base unit ( 720).

The database unit 720 can store indoor environment information detected by the temperature and humidity sensor 310, air cleanliness sensor 320, virus detection sensor 330, etc., and the indoor environment information is stored in the analysis unit 730 and the control unit ( 740), respectively.

The database unit 720 may further include a storage unit (not shown) for storing indoor environment information, and the storage unit may include RAM, flash memory, ROM, EPROM, EEPROM, register, hard disk, and remu. It can be implemented as a built-in storage device such as a bubble disk, memory card, etc., as well as a removable storage device such as a USB memory.

For example, when the refrigeration air-conditioning device 100 is in automatic mode, the control unit 740 compares the set value with indoor environment information to control whether the refrigeration air-conditioning device 100 emits clean air, discharge amount, humidity, etc. You can.

The analysis unit 730 may analyze indoor environment information received from the database unit 720. For example, air pollution, humidity, temperature, etc. can be analyzed by month, day of the week, and time, and such analysis information can be transmitted to the database unit 720, artificial intelligence unit 760, and communication unit 750. there is.

The database unit 720 may store analysis information received from the analysis unit 730.

The artificial intelligence unit 760 stores and learns the analysis information received from the analysis unit 730, and deep learning-based artificial intelligence can set standard data values through the learned data. For example, air pollution level information, temperature information, humidity information, etc. accumulated in the artificial intelligence unit 760 can set standard data values.

Here, the standard data value refers to a reference value for setting whether the refrigeration and air conditioning device 100 is operating, discharge amount, humidity, etc. according to the measurement information of the sensor unit 300.

Accordingly, it is possible to set appropriate standard data values according to the environment of the place where the refrigeration and air conditioning device 100 is placed.

The artificial intelligence unit 760 analyzes the standard data value using the data learning unit 761 and the data analysis unit 762 formed inside, which will be described below with reference to the drawings.

9 is a block diagram of the artificial intelligence unit 760, which consists of a data learning unit 761 and a data analysis unit 762. The data learning unit 761 may include a deep-learning framework, and thus may perform neural network algorithms such as CNN (Convolutional neural network) and vision algorithms such as SIFT (Scale Invariant Feature Transform).

The data learning unit 761 can learn analysis criteria for various standard data, such as object/pattern recognition and similarity testing of objects.

That is, the data learning unit 761 can learn and infer the standards regarding which data to use for analysis of standard data.

The data learning unit 761 can learn standards for image analysis by acquiring standard data to be used for learning and applying the obtained standard data to a data analysis model.

The data analysis unit 762 may perform analysis on the input standard data in response to the request from the analysis unit 730 described above. The data analysis unit 762 may perform image analysis using a learned data recognition model.

In addition, the data analysis unit 762 acquires data according to the standards set by learning, performs analysis of the learning data by using a data analysis model that uses the obtained data as input, and provides result information according to the analysis. can be output.

Additionally, the result information of the analysis of the learning data can be used to update the data analysis model.

Therefore, it is possible to analyze standard data using artificial intelligence through the artificial intelligence unit 760.

The communication unit 750 can transmit the analysis information received from the analysis unit 730 to the terminal 600, and the user or manager can control the supply of clean air from the refrigeration and air conditioning device 100 through the terminal 600. A signal can be input, and the input signal can be transmitted to the control unit 740.

Hereinafter, a description will be given of the operational relationship between indoor air sterilization and a smart refrigeration and air conditioning system with IoT control and monitoring functions according to the present invention.

The IoT control unit 200 is connected to the refrigeration and air conditioning device 100 that does not have a smart control function such as the Internet of Things (IoT) to make it the same as one that has the Internet of Things function.

In addition, the IoT control unit 200 analyzes, stores, and controls information coming into the IoT control unit 200 through the sensor unit 300. The interface unit 230 of the IoT control unit 200 is connected to an Internet network for an interface between the temperature and humidity sensor 310, the air purification sensor 320, and the virus detection sensor 330 within the sensor unit 300. .

Therefore, it is a method of establishing a wireless network in real time with the sensor unit 300 based on the Internet of Things. Therefore, the IoT control unit 200 is capable of two-way communication between the sensor unit 300 and the power unit 400, so it can control power on/off, control of temperature and humidity in indoor space, air circulation, dust contained in the air, etc. It is also possible to receive information about all states in a unified manner and analyze it.

In addition, the operating temperature of the refrigeration and air conditioning device 100 can be adjusted through the temperature and humidity sensor 310.

In addition, the power supply unit 400 can be turned on and off remotely through manipulation of the terminal 600 connected to the IoT control unit 200 and the network.

In addition, when insufficient indoor ventilation is detected through the air purification sensor 320, oxygen is supplied through the oxygen supply section (A-3) of the air circulation device (A), and oxygen is supplied in advance through the temperature and humidity sensor section 310. The goal is to maintain the set optimal temperature and humidity, and provide proper ventilation so that clean air can be inhaled.

In addition, internal fine dust is measured through the virus detection sensor 330, and carbon dioxide is reduced to maintain optimal indoor air quality.

Based on the results detected by the sensors, the sensor unit 300 supplies oxygen to the room through the air circulation device (A) and prevents air pollution.

Then, the air circulation device (A) detects the degree of pollution of the indoor air through the temperature and humidity sensor 310, the air purification sensor 320, and the virus detection sensor 330 of the sensor unit 300, and detects the degree of pollution in the oxygen supply unit (A-3). ), oxygen can be injected and supplied indoors to promote health.

In addition, the artificial intelligence module 700 detects and analyzes the amount of clean air generated by the air circulation device (A), surrounding temperature, surrounding humidity, and surrounding air pollution, and based on the analyzed data, refrigeration and air conditioning equipment It is possible to control the operation range and time of (100).

In addition, the artificial intelligence module 700 transmits information analyzed using artificial intelligence to the terminal 600 so that the user or administrator can recognize it.

As described above, the smart refrigeration and air-conditioning system with indoor air sterilization and IoT control and monitoring functions according to the present invention connects the refrigeration and air-conditioning device 100 to the IoT controller 200 to which the IoT function is applied, thereby IoT technology can be artificially applied to refrigeration and air conditioning devices 100, such as purifiers.

Therefore, by combining the Internet of Things (IoT) technology, it is possible to efficiently operate refrigeration and air-conditioning equipment by enabling a smart life through automatic control of temperature and humidity control as well as integrated monitoring operation such as air purification and fine dust measurement. It is possible to provide a comfortable and enriched life.

Furthermore, clean air can be easily supplied indoors through the air circulation device (A), so that clean air can be inhaled indoors, which has the advantage of leading a comfortable and healthy life.

In addition, using artificial intelligence technology, the air circulation device (A) can be controlled by analyzing indoor environmental information, and refrigeration and air conditioning equipment can be controlled using air pollution level information, temperature and humidity information, etc. through learned data using artificial intelligence. It is possible to set and control the temperature and humidity of (100), operating time, etc.

Below, a drawing will be attached to explain how to optimally control the refrigeration and air conditioning device 100 using artificial intelligence.

Figure 8 is a block diagram showing the detailed configuration of the refrigeration air conditioning device 100 and the management server 500.

Referring to FIGS. 8 and 2 together, the input unit 210 of the IoT control unit 200 receives various operation information, sensing information, etc. from the refrigeration and air conditioning device 100, and the integrated control unit 240 performs ideal optimized operation. Its role is to provide relevant information. Here, the operation information includes information about the operating state, operating conditions, input and output, etc. during operation of the refrigeration and air conditioning device 100.

The data unit (D) manages driving information including driving status, driving conditions, etc. and sensing information collected from the sensor unit 300, and has the function of storing real-time driving data and comparing and reviewing it with past data. Information on the comparative review results is provided to the control unit 240. In addition, the data section (D) provides the relevant information to the terminal 600 and the management server 500 so that the management server 500 can perform various analyses.

The integrated control unit 240 has a function to determine the optimal operating state based on data from the data unit D and to issue an operation command to the output unit 260 after the judgment.

The output unit 260 receives instructions from the integrated control unit 240 and outputs an output signal to the refrigeration and air conditioning device 100 through an output control unit (not shown) to ensure optimal operation.

The communication unit 220 can externally transmit various information for controlling the refrigeration air conditioner 100 provided by the data unit D, for example, operation information of the refrigeration air conditioner 100 and sensing of the sensor unit 300. Information, etc. can be transmitted to the management server 500 or the terminal 600 through a communication network. Here, the communication network can be a remote communication network or an Internet network. Additionally, the communication unit 220 may receive update information for updating the integrated control unit 240 using a program learned from the management server 500.

The management server 500 or terminal 600 receives and monitors driving information and various sensing information in real time, and the management server 500 generates fan (not shown) performance charts and provides them to the terminal 600. It can perform various driving analyzes and also provide an interface screen for remote control.

The monitor (not shown) of the terminal 600 uses a touchpad and provides a GUI-type interface, allowing access to driving information, sensing information, and various analysis information provided from the management server 500. For each image of information, the corresponding information can be accessed by a touch command.

As shown in FIG. 10, the management server 500 further includes a control unit 510, an information unit 520, a public information unit 530, and a learning unit 540.

Since the control unit 510 has a function to collect and analyze various operation information and sensing information provided by the IoT control unit 200, it provides operation warning and maintenance based on status information of the refrigeration and air conditioning equipment to the terminal 600. Implement compensation proposals.

In addition, the control unit 510 provides operating cost analysis for the overall operation, and stores all various collected information in the information unit 520 to track and manage data history.

The control unit 510 may include a communication module (not shown) with a built-in communication protocol compatible with the communication unit 220 to receive driving information and sensing information from the IoT control unit 200 through a communication network.

The information unit 520 serves as a type of database that stores various information, including driving information and sensing information, and may be provided in plural numbers to classify and store information by attribute and type.

The public information department 530 collects public information from external organizations necessary for the operation of the refrigeration and air-conditioning device 100 and assists efficient operation through machine learning.

Here, the public information refers to environmental data provided by external organizations on networks such as the Internet, and external organizations may be the Korea Meteorological Administration, Weather Forecast Center, etc., and public information provided by such external organizations includes, for example, weather information, It can be yellow dust information, fine dust information, gas pollution information, etc.

The learning unit 540 is responsible for creating an accurate predictive cooperation pattern through machine learning analysis including driving information and sensing information stored in the information unit 520 and public information from the public information unit 530.

In other words, the management server 600 prevents the coil from freezing in the winter for the refrigeration air conditioner 100 through internal algorithms and analysis information analyzed from the sensing information collected by the learning unit 540 and provides information through the information. Enthalpy control is performed according to indoor and outdoor conditions to use optimal energy.

Specifically, the learning unit 540 performs machine learning based on an artificial intelligence algorithm using sensing information such as temperature and humidity information and wind volume information included in the sensing information, and generates predictive driving information to enable optimized driving. You can.

In addition, the learning unit 540 may calculate the error of the sensing information based on the sensing information so that accurate temperature, humidity level, and wind volume information can be predicted in the future.

Here, the artificial intelligence algorithm can, for example, apply the support vector machine (SVM) algorithm, and in addition to the above-mentioned artificial intelligence algorithm, neuromorphic learning, deep neural network (DNN), or synthesis are used. Several types of artificial intelligence algorithms can be used, such as product neural network (CNN) or recurrent neural network (RNN) artificial intelligence methods. The support vector machine algorithm is one of the supervised learning machine learning methods mainly used for classification, regression, and outliers detection. For example, among several methods to distinguish two groups of data sets, being able to accurately distinguish the midpoint of the maximum distance of each group can be said to be the optimal way to increase classification accuracy.

In particular, the support vector machine algorithm is known as an optimized method for finding an optimal decision boundary that can clearly distinguish multiple dimensions for data with multiple dimensions.

In addition, when applying the support vector machine algorithm as described above to data acquired from sensors, as more and more data transmitted from sensors are accumulated, the number of machine learning training increases, and as a result, the modeling obtained through training increases. The accuracy gradually increases. This characteristic is that, while analysis techniques through specific mathematics or statistical modeling always have a certain level of prediction error rate, the prediction error rate can gradually improve as the number of training increases, which is a major advantage of modeling through machine learning techniques. It's an advantage.

As a result, when the above-described matrix is analyzed and predicted using the support vector machine algorithm, the pattern of the sensed temperature and humidity information and wind volume information can be predicted, and the optimized operating conditions or sensor error are calculated using the pattern. And through this, accurate prediction values of temperature and humidity information and wind volume information required for optimized operation can be predicted.

In addition, the predicted values are collected and stored in the information unit 520, making it possible to further increase prediction accuracy over time using accumulated big data information.

Furthermore, the operation frequency information of the rotating body such as the motor provided in the fan of the refrigeration air conditioning device 100 is provided to the management server 500, and the cause of vibration can be analyzed by analyzing based on the provided information. The learning unit ( 540) can analyze the error pattern when an error occurs due to noise or disturbance in the operating frequency information and predict that an accurate analysis of the cause of vibration will be performed according to the degree of error.

In addition, the learning unit 540 can determine whether the sensor's performance has deteriorated or failed through the error pattern of the sensor through learning. A reference comparison pattern for making this determination may be stored in advance, and the reference comparison pattern is a basic This can be the error tolerance range of the sensor provided at the time of shipment, and the range of the reference comparison pattern can be periodically updated through learning.

Additionally, even if the error pattern of the sensor is outside the standard comparison pattern range, the learning unit 540 can utilize the failure counter to eliminate errors in determining failure due to temporary errors. The failure counter is a method of determining a failure or performance deterioration and notifying the control server or administrator terminal only when the error pattern of the sensor is greater than the standard comparison pattern more than a certain number of times (standard counter value). In the case of this method, the possibility of misjudgment due to the above-mentioned temporary noise can be reduced by determining errors in a recursive manner. In addition, the above-described fault counter is reset to 0 when the operation time exceeds a certain range, or reset to 0 when the corresponding sensor is turned off, which can cause problems that may occur as the counter value continues to accumulate. You can also prevent them.

In addition, the values predicted from the learning unit 540 allow precise remote control of the refrigeration and air conditioning device 100 through the IoT control unit 200 to perform optimized operation based on accurate temperature and humidity information and wind volume information in the management server 500. Make it possible.

To this end, the information unit 520 can convert the collected driving information, sensing information, and predicted values into big data, and collect driving information, sensing information, etc. to improve prediction accuracy through machine learning based on the artificial intelligence algorithm of the learning unit 540. The collected data can be stored and provided.

Furthermore, the learning unit 540 provides the control unit 510 with updated information on optimal driving conditions based on the learned pattern, allowing the IoT control unit 200 to be updated. In addition, the control unit 510 verifies the learned optimized operating conditions and provides the corresponding algorithm to the IoT control unit 200 to control the refrigeration and air-conditioning equipment using an algorithm for the final operating conditions as a result of the learning. Perform an update.

The management server 500 or terminal 600 receives and monitors driving information and various sensing information in real time, and generates a fan performance display chart in the management server 500 and monitors the monitor (not shown) of the management server 500. It can be provided to the terminal 600, and interface screens for various remote controls can also be provided through an app (not shown) installed on the terminal 600.

Those skilled in the art to which the present invention pertains as described above will understand that the present invention can be implemented in other specific forms without changing its technical idea or essential features. Therefore, the above-described embodiments should be understood as illustrative and not restrictive.

The scope of the present invention is indicated by the appended claims rather than the detailed description above, and all changes or modifications 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 invention. do.

100: Refrigeration air conditioning device 200: IoT control unit
210: input unit 220: communication unit
230: Interface unit 240: Integrated control unit
250: air purification unit 260: output unit
A: Air circulation device D: Data section
300: Sensor unit 310: Temperature and humidity sensor
320: Air purification sensor 330: Virus detection sensor
340: Power off detection sensor 350: Signal transmission unit
360: Air circulation device operation sensor 400: Power unit
500: Management Server 510: Control Department
520: Department of Information 530: Department of Public Information
540: Learning unit 600: Terminal
700: Artificial intelligence module 710: Sensing unit
720: database unit 730: analysis unit
740: Controller 750: Communication unit
760: Artificial Intelligence Department 761: Data Learning Department
762: Data analysis department

Claims (5)

Refrigeration and air conditioning equipment;
An IoT control unit that operates the refrigeration and air conditioning equipment and connects it to enable IoT functions;
A sensor unit connected to the IoT control unit to acquire indoor temperature and humidity detection information when the refrigeration and air conditioning device operates and to control it according to the external environment;
A power unit connected to the IoT control unit and an Internet port and generating power to the refrigeration and air conditioning device by operation of the IoT control unit;
A management server connected to the IoT control unit through a network, transmitting status information of the refrigeration and air conditioning device delivered from the IoT control unit to the outside, and delivering input operating instructions to the IoT control unit;
a terminal that displays and inputs status information of refrigeration and air-conditioning devices transmitted from the management server and transmits the displayed operation instructions to the management server; and
It includes an artificial intelligence module that transmits information analyzing the indoor environment to the terminal,
The management server includes a control unit 510, an information unit 520, a public information unit 530, and a learning unit 540,
The learning unit 540 performs machine learning based on an artificial intelligence algorithm using temperature and humidity information and wind volume information, and generates predictive driving information to enable optimized driving.
The learning unit 540 calculates the error of the sensing information based on the sensing information and predicts accurate temperature, humidity level, and wind volume information in the future,
The learning unit 540 determines whether the sensor's performance is degraded or malfunctions through the sensor's error pattern. The learning unit 540 stores a reference comparison pattern in advance, and the range of the reference comparison pattern is periodically adjusted through learning. It is updated with
The learning unit 540 counts the number of failures to eliminate cases where temporary errors are judged to be failures, and if the failure counting number is greater than the standard counter value, it determines the failure or performance deterioration and notifies it to the control server or administrator terminal. In a smart refrigeration and air conditioning system with indoor air sterilization and IoT control and monitoring functions,

The sensor unit further includes a power-off detection sensor for detecting a power supply interruption to the refrigeration and air conditioning device,
It operates when a signal is received through the signal transmission unit, and further includes an air circulation device to prevent air pollution by measuring the concentration of the internal air collected through the sensor unit and supplying oxygen to the room,
The artificial intelligence algorithm of the learning unit 540 applies any one of the support vector machine algorithm, neuromorphic learning, deep neural network (DNN), convolutional neural network (CNN), or recurrent neural network (RNN) artificial intelligence algorithm. , apply a combination of two or more methods,
The IoT control unit
An input unit for connecting to the sensor unit to send and receive signals;
a communication unit for exchanging signals and data with the power unit;
an interface unit for interfacing with the input unit and the communication unit;
an integrated control unit for controlling each part;
It includes an output unit that outputs an output signal for optimal control to the refrigeration air conditioning device through the integrated control unit,
The IoT control unit includes an input unit 210 and a power unit 400 for connecting to the sensor unit 300 to send and receive signals, a communication unit 220 for sending and receiving signals and data, and the input unit 210 and the communication unit 220. It consists of an interface unit 230 for interfacing with each other and an integrated control unit 240 for controlling each part,
The interface unit 230 is equipped with a serial, parallel, or PCI interface card capable of mutual data communication through a sensor-sensitive wireless network,
It ensures smooth two-way communication between the refrigeration air conditioning device and the sensor detection wireless network, and causes the sensor unit 300, which includes a plurality of sensors 310, 320, 330, and 340, to operate the lighting equipment in the facility,
The interface unit 230 relays transmission and reception of information for Internet of Things (IoT) services between the plurality of sensors and the refrigeration air conditioning device,
The sensor unit includes a temperature and humidity sensor that detects internal temperature and humidity, an air purification sensor that purifies external air and injects it into the indoor space, absorbs and collects suspended substances in the air, and a virus detection sensor that detects viruses and detects them in the sensor unit. A smart refrigeration and air conditioning system with indoor air sterilization and IoT control and monitoring functions, which consists of a signal transmission unit that transmits sensor information.
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