KR20240078297A - Intelligent monitoring apparatus for managing odor based on IoT - Google Patents

Abstract

An intelligent monitoring device that manages bad odors based on IoT is launched. The monitoring device performs monitoring for each area where the odor collection device is deployed based on odor-related information collected from a communication unit that communicates with a plurality of odor collection devices, a plurality of odor reduction devices, and a user terminal, and a plurality of odor collection devices, It includes a control unit that detects a malodor generating source, which is an area where a foul odor is generated, using the monitored information, and reduces the foul odor using an odor reducing device disposed at a position corresponding to the foul odor generating source among a plurality of malodor reducing devices.

Description

Intelligent monitoring apparatus for managing odor based on IoT}

The present invention relates to technology for managing bad odors, and more specifically, to an intelligent monitoring device that manages bad odors based on IoT, which monitors areas where bad odors occur and reduces bad odors using the monitored information.

Odors are hydrogen sulfide, mercaptans, amines and other irritating gaseous substances, and are defined as an odor that stimulates a person's sense of smell and causes discomfort and disgust. These odors cause health damage and have serious negative psychological and aesthetic effects because the odor contained in the air through human breathing is immediately detected.

Recently, with the development of odor sensors using semiconductor technology and the objectification of analysis technology, odor measurement is being replaced by mechanical measurement devices. However, odor measuring devices equipped with odor sensors show significant differences from sensory measurements by smell, but this is not due to the accuracy of the odor sensor but to the method and basis for interpreting and analyzing the values expressed by the odor sensor have not yet been established. It is reasonable to view it as a problem caused by .

Therefore, there is a need for a more objective and quantified means of measuring odor and a system that stably monitors odor using these means.

Korean Patent Publication No. 10-1022267 (2011.03.08.)

The problem that the present invention aims to solve is to collect odor-related information by region, monitor odor using the collected information, and use the monitored information to reduce odor through an intelligent IoT-based odor management system. It provides a monitoring device.

In order to solve the above problem, the monitoring device according to the present invention is based on a communication unit that communicates with a plurality of odor collection devices, a plurality of odor reduction devices, and a user terminal, and odor-related information collected from the plurality of odor collection devices. Monitoring is performed for each area where the odor collection device is deployed, detecting the odor generating area, which is the area where the odor is generated, using the monitored information, and malodor reduction devices disposed at a location corresponding to the odor generating source among the plurality of odor reduction devices. A control unit that reduces the odor using a device, wherein when receiving a complaint message from the user terminal, the control unit checks an area where the complaint occurs, detects an odor collection device corresponding to the area where the complaint occurs, and detects the odor collection device. Based on the odor-related information collected from the odor collection device, it is determined whether the complaint is true, and if the complaint is determined to be true, the odor reduction device deployed at the odor source, which is the area where the complaint occurred, is detected, and the corresponding odor reduction is performed. A control signal to reduce odor is transmitted to the device, but if the odor reduction device is not placed in the odor source, which is the area where the complaint occurs, the odor reduction device is installed at the location closest to the odor source, which is the area where the complaint occurs, among the plurality of odor reduction devices. A mobile odor reduction device is detected, the detected mobile odor reduction device is moved to the source of the odor, which is the area where the civil complaint occurred, and then controlled to reduce the spread of the odor.

In addition, it is generated based on deep learning technology and further includes a storage unit in which a detection model for detecting errors included in the odor-related information is stored.

In addition, the control unit is characterized in that it applies the odor-related information to the detection model to detect errors included in the data, and performs preprocessing to correct or remove the detected errors.

In addition, the control unit may classify the odor from the odor generating source into a plurality of stages and control the odor reduction device to correspond to the divided stages to reduce the spread of the odor.

In addition, the control unit is characterized in that it controls the malodor reduction device so that as the malodor becomes more severe, the range over which the deodorant is sprayed becomes wider, the amount increases, and the time period increases.

In addition, the control unit predicts the spread of the malodor based on the malodor-related information and detects areas where malodor is not currently generated, but where malodor may be generated in the future.

In addition, the control unit is characterized in that it predicts to which area the currently occurring odor will spread using at least one environmental information of wind direction, wind speed, and weather included in the odor-related information.

In addition, when the odor collection device is not deployed in the civil complaint area, the control unit detects a mobile odor collection device located closest to the civil complaint area among the plurality of odor collection devices, and detects the detected mobile odor collection device. After moving the odor collection device to the area where the civil complaint occurs, the odor-related information is controlled to be collected.

According to an embodiment of the present invention, it is possible to monitor bad odors in each region based on local bad smell-related information, and use the monitored information to reduce the spread of bad smells from bad smell sources.

In addition, by preparing for areas where bad odors are likely to occur in the future due to external environmental factors, the occurrence of bad odors can be prevented in advance.

In addition, we can verify whether complaints related to odor are true, and if the complaints are found to be true, we can provide a pleasant environment to users through quick response to the complaints.

1 is a configuration diagram for explaining a smart management system according to an embodiment of the present invention.
Figure 2 is a block diagram for explaining a monitoring device according to an embodiment of the present invention.
Figure 3 is a block diagram for explaining a control unit according to an embodiment of the present invention.
Figure 4 is a flowchart for explaining a management method according to an embodiment of the present invention.
Figure 5 is a flowchart for explaining a management method according to another embodiment of the present invention.
Figure 6 is a flowchart for explaining a smart management method according to another embodiment of the present invention.
Figure 7 is a block diagram for explaining a computing device according to an embodiment of the present invention.

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

In this specification and drawings (hereinafter referred to as “this specification”), duplicate descriptions of the same components are omitted.

Also, in this specification, when a component is mentioned as being 'connected' or 'connected' to another component, it may be directly connected or connected to the other component, but may be connected to the other component in the middle. It should be understood that may exist. On the other hand, in this specification, when it is mentioned that a component is 'directly connected' or 'directly connected' to another component, it should be understood that there are no other components in between.

Additionally, the terms used in this specification are merely used to describe specific embodiments and are not intended to limit the present invention.

Also, in this specification, singular expressions may include plural expressions, unless the context clearly dictates otherwise.

In addition, in this specification, terms such as 'include' or 'have' are only intended to designate the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, and one or more It should be understood that this does not exclude in advance the presence or addition of other features, numbers, steps, operations, components, parts, or combinations thereof.

Also, in this specification, the term 'and/or' includes a combination of a plurality of listed items or any of the plurality of listed items. In this specification, 'A or B' may include 'A', 'B', or 'both A and B'.

Additionally, in this specification, detailed descriptions of well-known functions and configurations that may obscure the gist of the present invention will be omitted.

1 is a configuration diagram for explaining a smart management system according to an embodiment of the present invention.

Referring to FIG. 1, the smart management system 500 collects odor-related information for each region, monitors odor using the collected information, and reduces odor using the monitored information. In other words, the smart management system 500 can be applied around a source of bad odor. Sources of odor may include sewer pipes, manholes, landfills, livestock farms, sewage wastewater facilities, etc. The smart management system 500 includes a monitoring device 100, a plurality of odor collection devices 200, a plurality of odor reduction devices 300, and may include at least one user terminal 400.

The monitoring device 100 communicates with a plurality of odor collection devices 200, a plurality of odor reduction devices 300, and at least one user terminal 400, and monitors odors generated in a preset area. do. Here, odor refers to an odor that stimulates a person's sense of smell and causes discomfort and disgust. The monitoring device 100 uses the monitored information to detect a malodor generating source and performs control to reduce the malodor from the detected malodor generating source. Details of the monitoring device 100 will be described with reference to FIGS. 2 and 3.

The odor collection device 200 is a sensor device that collects odor-related information and communicates with the monitoring device 100 to transmit the collected information to the monitoring device 100. At this time, the odor collection device 200 may collect information about the odor in real time, collect information about the odor at preset intervals, or collect information about the odor according to a request received from the monitoring device 100. The odor collection device 200 is located in each preset area. That is, the odor collection device 200 includes a plurality of odor collection devices 200a, 200b, 200c, and 200d, and each odor collection device 200a, 200b, 200c, and 200d is located at regular or random intervals. Preferably, each odor collection device 200 may be positioned based on the maximum range within which information on odor can be collected. Here, the odor collection device 200 is divided into a fixed odor collection device and a mobile odor collection device. A fixed odor collection device is a device that continuously collects information about odor in an area once installed, and a mobile odor collection device is a device that includes a transportation means at the bottom and collects information about odor while moving. Preferably, the fixed odor collection device can be installed in an area where bad odor is continuously generated, and the mobile odor collecting device can be located in an area where bad odor is not continuously generated but is generated at random times. The odor collection device 200 collects at least one of hydrogen sulfide (H2S), ammonia (NH3), volatile organic compounds (VOCs), temperature, humidity, wind direction, wind speed, barometric pressure, weather, and GPS (Global Positioning System) information in the located area. Collect one piece of information. To this end, the odor collection device 200 may include a variety of sensor modules based on MEMS (Micro-Electro Mechanical Systems) that collect odor-related information and a variety of sensor modules that collect environmental information.

The malodor reduction device 300 is a device that reduces the spread of malodor through a deodorant and communicates with the monitoring device 100. The malodor reduction device 300 can reduce the spread of malodor according to the control signal received from the monitoring device 100. The odor reduction device 300 is located in each preset area. That is, the odor reduction device 300 includes a plurality of odor reduction devices 300a, 300b, 300c, and 300d, and each odor reduction device 300a, 300b, 300c, and 300d is located at regular or random intervals. Preferably, each device of the malodor reduction device 300 may be located in a position corresponding to the malodor collection device 100. Here, the malodor reduction device 300 is divided into a fixed malodor reduction device and a mobile malodor reduction device. A fixed odor reduction device is a device that continuously reduces the spread of odor in an area once installed, and a mobile odor reduction device is a device that includes a transportation means at the bottom and reduces the spread of odor while moving. Preferably, the fixed odor reduction device can be installed to correspond to the area where the odor collection device is installed, and the mobile odor reduction device can be located in an area where odor is not continuously generated but where odor is generated at random times. The malodor reduction device 300 reduces malodor by spraying a deodorant using at least one of a spray method and a vaporization method. Here, the spray method is a method of reducing bad odor by spraying the deodorant in liquid form, and the vaporization method is a method of reducing bad odor by spraying the deodorant in gaseous form rather than liquid and riding along or deflecting odor molecules existing in the air.

The user terminal 400 is a terminal used by a user who submits a odor-related complaint, communicates with the monitoring device 100, and transmits a odor-related complaint message to the monitoring device 100. When the user terminal 400 transmits a civil complaint message to the monitoring device 100, it can receive a response message, which is a feedback message for the civil complaint message, from the monitoring device 100. The user terminal 400 provides a user interface for the user to transmit a civil complaint message and output a response message. Here, the complaint message is a message containing information such as the area where the odor occurs, the type of odor (bad odor, sour odor, sewer odor, etc.), and the odor level (high, medium, low, etc.), and the response message is a message containing information such as the odor reduction status, etc. It may be a message containing the same information.

Meanwhile, the smart management system 500 includes a communication network (not shown) between the monitoring device 100, a plurality of odor collection devices 200, a plurality of odor reduction devices 300, and at least one user terminal 400. It can support communication between each other. A communication network can be composed of a backbone network and a subscriber network. The backbone network may be composed of one or more integrated networks among the X.25 network, Frame Relay network, ATM network, MPLS (Multi-Protocol Label Switching) network, and GMPLS (Generalized Multi-Protocol Label Switching) network. Subscriber networks include FTTH (Fiber To The Home), ADSL (Asymmetric Digital Subscriber Line), cable network, zigbee, Bluetooth, and Wireless LAN (IEEE 802.11b, IEEE 802.11a, IEEE 802.11g, IEEE 802.11n). ), Wireless Hart (ISO/IEC62591-1), ISA100.11a (ISO/IEC 62734), CoAP (Constrained Application Protocol), MQTT (Message Queuing Telemetry Transport), WIBro (Wireless Broadband), Wimax, 3G, HSDPA (High Speed Downlink Packet Access), 4G, 5G and 6G, etc. In some embodiments, the communication network may be an Internet network or a mobile communication network. Additionally, the communication network may include any wireless or wired communication method that is well known or will be developed in the future.

FIG. 2 is a block diagram for explaining a monitoring device according to an embodiment of the present invention, and FIG. 3 is a block diagram for explaining a control unit according to an embodiment of the present invention.

1 to 3, the monitoring device 100 includes a communication unit 10, a control unit 30, an output unit 50, and a storage unit 70.

The communication unit 10 communicates with a plurality of malodor collection devices 200, a plurality of malodor reduction devices 300, and at least one user terminal 400. The communication unit 10 receives odor-related information from the odor collection device 200 and transmits a request message requesting collection of odor-related information to the odor collection device 200. The communication unit 10 transmits a control signal related to odor reduction to the odor reduction device 300 and receives drive-related information from the odor reduction device 300. The communication unit 10 receives a complaint message related to odor from the user terminal 400 and transmits a response message related to the complaint to the user terminal 400.

The control unit 30 performs overall control of the monitoring device 100. The control unit 30 performs a preprocessing process for odor-related information, analyzes and monitors the preprocessed odor-related information. The control unit 30 generates a control signal related to odor reduction using the monitored information, and transmits the generated control signal to an odor reduction device located at the source of the odor to reduce the spread of the odor. For this purpose, the control unit 30 includes a learning unit 31, a preprocessing unit 32, and a monitoring unit 33.

The learning unit 31 performs learning of the detection model 75 created based on deep learning technology. Preferably, the detection model 75 may be generated using at least one of artificial intelligence algorithms such as Convolutional Neural Network (CNN), Long Short Term Memory Network (LSTM), and Recurrent Neural Network (RNN). The detection model 75 detects data errors, such as a sudden change in measured value or a measured value outside a preset range, during the process of collecting odor-related information from the odor collection device 200.

In other words, when a learning input vector for learning is input, the detection model 75 classifies errors included in the learning input vector or outputs a predicted value to determine presence or absence. Based on this detection model structure, the learning unit 31 trains the output prediction value to be closer to the correct answer value (known in advance) corresponding to the learning input vector. To this end, the learning unit 51 repeats the learning a preset number of times to minimize the difference between the predicted value and the correct answer. Here, the preset number of times means the minimum number of times the predicted value reaches the evaluation index desired by the user.

The pre-processing unit 32 may perform a pre-processing process on odor-related information using the detection model 75 that has been trained in the learning unit 31 before performing monitoring. That is, the preprocessor 32 applies the received odor-related information to the detection model 75 created based on deep learning technology to detect errors included in the data and performs preprocessing to correct or remove the detected errors. do. Through this, the preprocessor 32 can prevent the problem of lowering the reliability of the predicted value that may occur due to errors.

When odor-related information is received, the monitoring unit 32 performs monitoring for each region based on the received odor-related information. The monitoring unit 32 determines whether a bad odor occurs in each area, calculates the level of the bad smell if it does occur, and quantifies the level of the bad smell. The monitoring unit 32 can quantify the odor and classify it into multiple stages as shown in [Table 1].

air quality items good commonly bad very bad PM10 30 or less 80 or less 150 or less over 150 PM2.5 15 or less 35 or less 75 or less exceed 75 Ozone (O ₃ ) 0.03 or less 0.09 or less 0.15 or less greater than 0.15 Nitrogen dioxide (NO ₂ ) 0.03 or less 0.06 or less 0.2 or less greater than 0.2 Carbon monoxide (CO) 2 or less 9 or less 15 or less over 15 Sulfur dioxide (SO ₂ ) 0.02 or less 0.05 or less 0.15 or less greater than 0.15 Carbon dioxide (CO ₂ ) 600 or less 1000 or less 2000 or less Exceeding 2000 odor item good commonly bad very bad Complex odor (OU) 500 or less 800 or less 1200 or less >1200 Hydrogen sulfide (H ₂ S) 5 or less below 10 20 or less over 20 Ammonia (NH ₃ ) 100 or less 200 or less 300 or less over 300 Benzene 100 or less 200 or less 300 or less over 300 Toluene (TOLU) 100 or less 200 or less 300 or less over 300 forest fire items lowness commonly height serious Forest fire risk index 50 or less 65 or less 85 or less exceed 85 radioactive items normal caution warning emergency radiation 0.2 or less 0.973 or less 973 and below exceeds 973

The monitoring unit 32 uses the monitored information to detect the source of the malodor, which is the area where the malodor is generated. The monitoring unit 32 may control the malodor reduction device to reduce the spread of the malodor through the malodor reduction device disposed at the malodor generating source among the plurality of malodor reduction devices 300 . At this time, the monitoring unit 32 can control the odor reduction device 300 to correspond to the divided stages as shown in [Table 1] to reduce the spread of the odor. For example, the monitoring unit 32 can control the malodor reduction device 300 so that as the degree of malodor becomes more severe, the range over which the deodorant is sprayed becomes wider, the amount increases, and the time period increases. In addition, the monitoring unit 32 can predict the spread of bad odor based on bad smell-related information and detect areas where bad smell does not currently occur, but where bad smell may occur in the future. That is, the monitoring unit 32 uses environmental information such as wind direction, wind speed, and weather included in the odor-related information to predict to which area the currently occurring odor will spread. The monitoring unit 32 can control the odor reduction device placed in the predicted area to prevent the generation of bad odor in advance. Here, when the monitoring unit 32 receives a civil complaint message from the user terminal 400, it includes it in the civil complaint message. The area where civil complaints are generated is confirmed, and the odor collection device corresponding to the area where civil complaints are generated among the plurality of odor collection devices 200 is detected. The monitoring unit 32 confirms whether the complaint included in the complaint message is true by requesting the collection of odor-related information from the detected odor collection device. If the complaint in the complaint message is true, the monitoring unit 400 can control the odor reduction device 300 located at the source of the odor, which is the area where the complaint occurred, to reduce the spread of the odor.

Meanwhile, when the odor collection device 200 is not deployed in the area where the complaint occurs, the monitoring unit 32 detects the mobile odor collection device located closest to the area where the complaint occurs among the plurality of odor collection devices 200. . The monitoring unit 32 moves the detected mobile odor collection device to the area where the civil complaint occurred and then controls it so that odor-related information is collected.

Additionally, when the odor reduction device 300 is not placed at the odor generating source, the monitoring unit 32 detects the mobile odor reducing device located closest to the odor generating source among the plurality of odor reducing devices 300. The monitoring unit 32 moves the detected mobile odor reduction device to the corresponding odor generating source and then controls it to reduce the spread of the odor.

The output unit 50 outputs odor-related information and outputs monitored information based on the odor-related information. At this time, the output unit 50 can output odor-related information and monitored information based on the map. For example, the output unit 50 may output odor-related information and monitored information based on a map displaying odor generating sources.

The storage unit 70 stores a program or algorithm for driving the monitoring device 100. The storage unit 70 stores a detection model 75 for preprocessing odor-related information. Additionally, the storage unit 70 stores odor-related information and information monitored based on the odor-related information. The storage unit 70 includes a flash memory type, hard disk type, multimedia card micro type, card type memory (for example, SD or XD memory, etc.), Random Access Memory (RAM), Static Random Access Memory (SRAM), Read-Only Memory (ROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Programmable Read-Only Memory (PROM), magnetic memory, It may include at least one storage medium of a magnetic disk and an optical disk.

Here, the monitoring device 100 is expressed as a device, but is not limited to this and may also be expressed as a monitoring server when implemented in the form of a server.

Figure 4 is a flowchart for explaining a management method according to an embodiment of the present invention.

Referring to FIGS. 1 and 4 , the management method monitors the odor in each region based on regional odor-related information, and uses the monitored information to reduce the spread of odor from the odor source.

In step S101, the plurality of odor collection devices 200 collect odor-related information. The plurality of odor collection devices 200a may collect odor-related information for each area where the devices are located. Here, the odor-related information may include at least one of hydrogen sulfide, ammonia, volatile organic compounds, temperature, humidity, wind direction, wind speed, barometric pressure, weather, and GPS information in the area.

In step S103, the plurality of odor collection devices 200a each transmit the collected odor-related information to the monitoring device 100.

In step S105, the monitoring device 100 performs monitoring of odor based on the collected odor-related information. The monitoring device 100 performs monitoring for each area and detects the source of the odor, which is the area where the odor occurs, using the monitored information. At this time, the monitoring device 100 may detect the malodor reduction device 300a disposed at the malodor generating source among the plurality of malodor reduction devices 300.

In step S107, the monitoring device 100 generates a control signal related to odor reduction. The monitoring device 100 determines the level of odor from the odor generating source and uses the identified information to generate a control signal to reduce the odor.

In step S109, the monitoring device 100 transmits a control signal related to odor reduction to the odor reduction device 300a disposed at the odor generating source.

In step S111, the odor reduction device 300a operates according to the control signal. At this time, the odor reduction device can reduce the odor by spraying a deodorant using at least one of a spray method and a vaporization method.

In step S113, the odor reduction device 300a transmits operation-related information to the monitoring device 100. The odor reduction device 300a helps the monitoring device 100 perform odor-related monitoring in real time by providing feedback information about operation to reduce odor to the monitoring device 100.

Figure 5 is a flowchart for explaining a smart management method according to another embodiment of the present invention.

Referring to FIG. 5, the smart management method can reduce the odor of the odor generating source using a mobile odor reducing device even when the odor reducing device 300 is not placed at the odor generating source.

In step S201, the plurality of odor collection devices 200 collect odor-related information. The plurality of odor collection devices 200a may collect odor-related information for each area where the devices are located.

In step S203, the plurality of odor collection devices 200a each transmit the collected odor-related information to the monitoring device 100.

In step S205, the monitoring device 100 performs monitoring of odor based on the collected odor-related information. The monitoring device 100 performs monitoring for each area and detects the source of the odor, which is the area where the odor occurs, using the monitored information. At this time, the monitoring device 100 may detect the malodor reduction device disposed at the malodor generating source among the plurality of malodor reduction devices 300. If the malodor reduction device placed at the odor generating source cannot be detected, the monitoring device 100 detects the mobile odor reducing device 300a located closest to the odor generating source.

In step S207, the monitoring device 100 generates a control signal related to odor reduction. The monitoring device 100 determines the level of odor from the odor generating source and uses the identified information to generate a control signal to reduce the odor. At this time, the monitoring device 100 may generate a control signal that includes a command to move the detected mobile odor reduction device 300a to the odor generating source.

In step S209, the monitoring device 100 transmits a control signal related to odor reduction to the mobile odor reduction device 300a located closest to the odor generating source.

In step S211, the mobile odor reduction device moves to the odor generating source according to the control signal. At this time, the mobile odor reduction device can move to the relevant area based on GPS information.

In step S213, the mobile odor reduction device operates according to the control signal. At this time, the mobile odor reduction device can reduce the odor by spraying a deodorant.

In step S215, the mobile odor reduction device transmits operation-related information to the monitoring device 100. The mobile odor reduction device helps the monitoring device 100 perform odor-related monitoring in real time by providing feedback information about operation to reduce odor to the monitoring device 100.

Figure 6 is a flowchart for explaining a management method according to another embodiment of the present invention.

Referring to Figure 6, the management method verifies whether a complaint related to odor is true, and if the complaint is found to be true, a comfortable environment can be provided to the user through quick response to the complaint.

In step S301, the user terminal 400 transmits a odor-related complaint message. The user terminal 400 transmits the civil complaint message input by the user to the monitoring device 100. Here, the complaint message includes information such as the area where the odor occurs, the type of odor (bad odor, sour odor, sewer odor, etc.), and the level of odor (high, medium, low, etc.).

In step S303, the monitoring device 100 checks the content of the complaint included in the complaint message. The monitoring device 100 confirms the area where the complaint occurred included in the civil complaint message and detects the odor collection device corresponding to the area where the complaint occurred among the plurality of odor collection devices 200. If it is unable to detect the odor collection device placed in the area where the complaint occurs, the monitoring device 100 detects the mobile odor collection device 200a located closest to the odor source, which is the area where the complaint occurs.

In step S305, the monitoring device 100 transmits a request message requesting collection of odor-related information to the detected mobile odor collection device 200a. Here, the request message may be a control signal related to odor collection, and may include a command for the mobile odor collection device 200a to move to the area where civil complaints occur.

In step S307, the mobile odor collection device 200a moves to the area where civil complaints occur according to the request message. At this time, the mobile odor collection device 200a can move to the relevant area based on GPS information.

In step S309, the mobile odor collection device 200a collects odor-related information. The mobile odor collection device 200a can collect odor-related information about the area where civil complaints occur.

In step S311, the mobile odor collection device 200a transmits the collected odor-related information to the monitoring device 100.

In step S313, the monitoring device 100 performs monitoring of odor based on the collected odor-related information. The monitoring device 100 monitors the area where civil complaints occur and determines whether the civil complaints are true. If the monitoring device 100 determines that the complaint is true, it can detect the odor reduction device placed at the source of the odor, which is the area where the complaint occurred. If the malodor reduction device placed at the odor generating source cannot be detected, the monitoring device 100 detects the mobile odor reducing device 300a located closest to the odor generating source.

In step S315, the monitoring device 100 generates a control signal related to odor reduction. The monitoring device 100 determines the level of odor from the odor generating source and uses the identified information to generate a control signal to reduce the odor. At this time, the monitoring device 100 may generate a control signal that includes a command to move the detected mobile odor reduction device 300a to the odor generating source.

In step S317, the monitoring device 100 transmits a control signal related to odor reduction to the mobile odor reduction device 300a located closest to the odor generating source.

In step S319, the mobile odor reduction device 300a moves to the odor generating source according to the control signal. At this time, the mobile odor reduction device can move to the relevant area based on GPS information.

In step S321, the mobile odor reduction device 300a operates according to the control signal. At this time, the mobile odor reduction device 300a can reduce the odor by spraying a deodorant.

In step S323, the mobile odor reduction device 300a transmits operation-related information to the monitoring device 100. The mobile odor reduction device 300a helps the monitoring device 100 perform odor-related monitoring in real time by providing feedback information about operation to reduce odor to the monitoring device 100.

In step S325, the monitoring device 100 transmits a civil complaint-related response message to the user terminal 400. The monitoring device 100 transmits a response message informing the user terminal 400 that transmitted the complaint message of the response status of the complaint. Through this, the user who filed the complaint can intuitively understand information about the complaint he or she filed by checking the feedback information about the complaint.

Figure 7 is a block diagram for explaining a computing device according to an embodiment of the present invention.

Referring to FIG. 7, the computing device TN100 may be a device described herein (eg, a monitoring device, an odor collection device, an odor reduction device, a user terminal, etc.).

The computing device TN100 may include at least one processor TN110, a transceiver device TN120, and a memory TN130. Additionally, the computing device TN100 may further include a storage device TN140, an input interface device TN150, an output interface device TN160, etc. Components included in the computing device TN100 may be connected by a bus TN170 and communicate with each other.

The processor TN110 may execute a program command stored in at least one of the memory TN130 and the storage device TN140. The processor TN110 may refer to a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which methods according to embodiments of the present invention are performed. Processor TN110 may be configured to implement procedures, functions, and methods described in connection with embodiments of the present invention. The processor TN110 may control each component of the computing device TN100.

Each of the memory TN130 and the storage device TN140 can store various information related to the operation of the processor TN110. Each of the memory TN130 and the storage device TN140 may be comprised of at least one of a volatile storage medium and a non-volatile storage medium. For example, the memory TN130 may be comprised of at least one of read only memory (ROM) and random access memory (RAM).

The transceiving device TN120 can transmit or receive wired signals or wireless signals. The transmitting and receiving device (TN120) can be connected to a network and perform communication.

Meanwhile, the embodiments of the present invention are not only implemented through the apparatus and/or method described so far, but may also be implemented through a program that realizes the function corresponding to the configuration of the embodiment of the present invention or a recording medium on which the program is recorded. This implementation can be easily implemented by anyone skilled in the art from the description of the above-described embodiments.

Although the embodiments of the present invention have been described in detail above, the scope of the present invention is not limited thereto, and various modifications and improvements made by those skilled in the art using the basic concept of the present invention defined in the following claims are also possible. It falls within the scope of invention rights.

10: Department of Communications
30: control unit
31: Learning Department
32: Preprocessing unit
33: Monitoring unit
50: output unit
70: storage unit
100: monitoring device
200: Odor collection device
300: Odor reduction device
400: User terminal
500: Smart management system

Claims (8)

a communication unit that communicates with a plurality of odor collection devices, a plurality of odor reduction devices, and a user terminal; and
Based on the odor-related information collected from the plurality of odor collection devices, monitoring is performed for each area where the odor collection device is deployed, and using the monitored information, an odor source, which is an area where a odor is generated, is detected, and the plurality of odor collection devices are monitored. A control unit that reduces the odor using an odor reduction device disposed at a location corresponding to the odor generating source among the odor reduction devices,
The control unit,
When a complaint message is received from the user terminal, the area where the complaint occurred is confirmed, the odor collection device corresponding to the area where the complaint occurred is detected, and whether the complaint is true based on the odor-related information collected from the detected odor collection device. , and if it is determined that the complaint is true, detect the odor reduction device placed in the odor generating source, which is the area where the complaint occurred, and then transmit a control signal to reduce the odor to the corresponding odor reduction device,
If the odor reduction device is not deployed in the odor generating area, which is the area where the above-mentioned complaints occurred,
Among the plurality of odor reduction devices, a mobile odor reduction device is detected that is closest to the odor source, which is the area where the complaint is generated, and the detected mobile odor reduction device is moved to the odor source, which is the area where the complaint is generated, and then the odor reduction device is moved to the odor source, which is the area where the complaint is generated. A monitoring device characterized in that it controls to reduce the spread of. According to clause 1,
A storage unit that is generated based on deep learning technology and stores a detection model that detects errors included in the odor-related information;
A monitoring device further comprising: According to clause 2,
The control unit,
A monitoring device characterized in that the odor-related information is applied to the detection model to detect errors included in the data, and to perform preprocessing to correct or remove the detected errors. According to clause 1,
The control unit,
A monitoring device characterized in that the odor from the odor generating source is divided into a plurality of stages, and the odor reduction device is controlled to correspond to the divided stages to reduce the spread of the odor. According to clause 4,
The control unit,
A monitoring device characterized in that the malodor reduction device is controlled so that as the foul odor becomes more severe, the range over which the deodorant is sprayed becomes wider, the amount increases, and the time increases. According to clause 1,
The control unit,
A monitoring device that predicts the spread of the odor based on the odor-related information and detects areas where no odor is currently generated, but where odor may be generated in the future. According to clause 6,
The control unit,
A monitoring device characterized in that it predicts to which area the currently occurring odor will spread using at least one environmental information of wind direction, wind speed, and weather included in the odor-related information. According to clause 1,
The control unit,
If the odor collection device is not deployed in the area where the above complaint occurred,
Among the plurality of odor collection devices, a mobile odor collection device that is closest to the area where complaints are generated is detected, the detected mobile odor collection device is moved to the area where complaints are generated, and then the odor-related information is collected. A monitoring device characterized in that.