KR102544451B1 - Smart management system and method for monitoring odor based on IoT - Google Patents

Abstract

A smart management system and method for monitoring odor based on IoT are disclosed. The smart management system includes a plurality of odor collection devices each located for each preset region and collecting information on the located region and odor in the corresponding region, and a plurality of odor collection devices each located for each preset region and reducing the spread of odor. Odor-related information collected from an odor reduction device and a plurality of odor collection devices is received, monitoring is performed for each region based on the received odor-related information, and odor sources, which are regions where odors occur, are detected using the monitored information. and a monitoring device for controlling the diffusion of the malodor to be reduced through the malodor reduction apparatus disposed at the malodor generating source among the plurality of malodor reduction apparatuses.

Description

Smart management system and method for monitoring odor based on IoT

The present invention relates to a technology for managing odors, and more particularly, to a smart management system and method for monitoring odors based on IoT, which monitors areas where odors occur and uses the monitored information to reduce odors. .

Odor is hydrogen sulfide, mercaptans, amines, and other irritating gaseous substances, which are defined as unpleasant and disgusting odors by stimulating the human sense of smell. Since the odor contained in the air by human breathing is immediately sensed, it causes serious damage to health and mental and aesthetic effects.

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 a significant difference from sensory measurement by smell, but this is due to the fact that the method and basis for interpreting and analyzing the values indicated by the odor sensor have not yet been established, rather than the accuracy problem of the odor sensor. It is reasonable to see it as a problem according to a.

Therefore, there is a need for a more objective and quantified odor measurement means and a system for stably monitoring odor using such a means.

Korea Patent Registration No. 10-1022267 (2011.03.08.)

The problem to be solved by the present invention is to collect odor-related information by region, monitor odor using the collected information, and monitor odor based on IoT to reduce odor using the monitored information. To provide a management system and method.

In order to solve the above problem, the smart management system is located for each preset region, and a plurality of odor collection devices for collecting information on the located region and the odor in the region, each located for each preset region, and the odor Receives odor-related information collected from a plurality of odor reduction devices and the plurality of odor collection devices, performs monitoring for each region based on the received odor-related information, and uses the monitored information and a monitoring device that detects an odor generating source, which is an area where the odor is generated, and controls the diffusion of the odor to be reduced through an odor reducing device disposed at the odor generating source among the plurality of odor reducing devices.

In addition, each of the plurality of odor collection devices may receive at least one of hydrogen sulfide, ammonia, volatile organic compounds (VOCs), temperature, humidity, wind direction, wind speed, atmospheric pressure, weather, and Global Positioning System (GPS) information of the location where the odor collection device is located. It is characterized by the collection of information.

In addition, each of the odor reduction devices is characterized in that the diffusion of the odor is reduced by spraying a deodorant using at least one of a spray method and a vaporization method.

In addition, the monitoring device may detect an error included in the data by applying the received odor-related information to a detection model generated based on deep learning technology, and correct or remove the detected error.

In addition, the monitoring device is characterized in that the odor of the odor generating source is classified into a plurality of stages, and the diffusion of the odor is reduced by controlling the odor reduction device to correspond to the divided stages.

In addition, the monitoring device predicts the spread of the odor based on the odor-related information to further detect an area where an odor may occur in the future, and an odor reduction device disposed in the area where an odor may occur in the future. It is characterized in that to block the occurrence of the odor by controlling.

It may further include at least one user terminal that transmits a civil complaint message related to odor to the monitoring device, wherein the monitoring device checks a civil complaint occurrence area included in the civil complaint message, and identifies the civil complaint among the plurality of odor collection devices. It is characterized in that an odor collection device corresponding to an area of occurrence is detected, and collection of odor-related information is requested to the detected odor collection device.

In addition, when the odor collection device is not disposed in the civil complaint area, the monitoring device uses a mobile odor collection device located closest to the civil complaint area among the plurality of odor collection devices to obtain the odor-related information. It is characterized in that it is controlled so that is collected.

In addition, when the odor reducing device is not disposed at the odor generating source, the monitoring device reduces the spread of the odor by using a mobile odor reducing device that is closest to the odor generating source among the plurality of odor reducing devices. It is characterized by controlling as much as possible.

The smart management method according to the present invention includes the steps of collecting information on the area where each of the plurality of odor collection devices is located and the odor of the corresponding area, and receiving, by a monitoring device, odor-related information collected from the plurality of odor collection devices. Detecting, by the monitoring device, an odor source that is a region where the odor is generated by performing monitoring for each region based on the received odor-related information; Generating a control signal for controlling a device, transmitting the control signal from the monitoring device to a malodor reduction device disposed at the malodor generating source among a plurality of malodor reducing devices, and the malodor reducing device disposed at the malodor generating source and reducing the spread of the odor by driving based on a control signal.

According to an embodiment of the present invention, it is possible to monitor the odor of each region based on odor-related information for each region, and reduce the spread of odor at the source of the odor by using the monitored information.

In addition, it is possible to block the occurrence of odors in advance by preparing for areas where odors may occur in the future due to external environmental factors.

In addition, if complaints related to odor are verified, and if the complaints are found to be true, a pleasant environment can be provided 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.
2 is a block diagram for explaining a monitoring device according to an embodiment of the present invention.
3 is a block diagram for explaining a control unit according to an embodiment of the present invention.
4 is a flowchart illustrating a management method according to an embodiment of the present invention.
5 is a flowchart illustrating a management method according to another embodiment of the present invention.
6 is a flowchart illustrating a smart management method according to another embodiment of the present invention.
7 is a block diagram illustrating a computing device according to an embodiment of the present invention.

Hereinafter, with reference to the accompanying drawings, embodiments of the present invention will be described in detail so that those skilled in the art can easily carry out the present invention. However, the present invention may be embodied in many different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

In the present specification and drawings (hereinafter referred to as 'this specification'), redundant descriptions of the same components are omitted.

In addition, in this specification, when a component is referred to as being 'connected' or 'connected' to another component, it may be directly connected or connected to the other component, but another component in the middle It should be understood that may exist. On the other hand, in this specification, when a component is referred to as 'directly connected' or 'directly connected' to another component, it should be understood that no other component exists in the middle.

In addition, terms used in this specification are only used to describe specific embodiments and are not intended to limit the present invention.

Also, in this specification, a singular expression may include a plurality of expressions unless the context clearly indicates otherwise.

In addition, in this specification, terms such as 'include' or 'having' are only intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, and one or more It should be understood that the presence or addition of other features, numbers, steps, operations, components, parts, or combinations thereof is not precluded.

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

Also, in this specification, detailed descriptions of well-known functions and configurations that may obscure the subject matter 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. That is, the smart management system 500 may be applied around a source of odor. Odor sources may include sewage pipes, manholes, landfills, livestock farms, sewage and wastewater facilities, and the like. The smart management system 500 includes a monitoring device 100 , a plurality of odor collection devices 200 , and 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, the odor refers to a smell that stimulates a person's olfactory sense and gives unpleasantness and disgust. The monitoring device 100 uses the monitored information to detect an odor generating source, and performs control to reduce the odor from the detected odor 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 . In this case, the odor collection device 200 may collect odor information in real time, collect odor information at predetermined intervals, or collect odor information according to a request received from the monitoring device 100 . The odor collection device 200 is located for each preset region. 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 positioned at regular or random intervals. Preferably, each of the odor collection devices 200 may be positioned based on a maximum range capable of collecting odor information. Here, the odor collection device 200 is divided into a fixed odor collection device and a mobile odor collection device. The fixed odor collection device is a device that continuously collects odor information in an area once installed, and the mobile odor collection device is a device that includes a transportation means at the bottom and collects odor information while moving. Preferably, the stationary odor collection device may be installed in an area where odor is constantly generated, and the mobile odor collection device may be located in an area where odor is not continuously generated but odor is generated at any time. The odor collection device 200 detects hydrogen sulfide (H ₂ S), ammonia (NH ₃ ), volatile organic compounds (VOCs), temperature, humidity, wind direction, wind speed, air pressure, weather, and GPS (Global Positioning System) At least one piece of information is collected. To this end, the odor collection device 200 may include a micro-electro mechanical systems (MEMS)-based multi-type sensor module that collects odor-related information and a multi-type sensor module that collects environmental information.

The odor reduction device 300 is a device that reduces the spread of odor through a deodorant and communicates with the monitoring device 100 . The odor reduction device 300 may reduce the spread of odor according to the control signal received from the monitoring device 100 . The odor reduction device 300 is located for each preset region. 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 positioned at regular or random intervals. Preferably, each device of the odor reduction device 300 may be located at a position corresponding to the odor collection device 100 . Here, the odor reduction device 300 is divided into a fixed odor reduction device and a mobile odor reduction device. The fixed odor reduction device is a device that continuously reduces the diffusion of odor in an area once installed, and the mobile odor reduction device is a device that reduces the spread of odor while moving by including a transport means at the bottom. Preferably, the stationary malodor reduction device may be installed to correspond to the area in which the odor collection device is installed, and the mobile malodor reduction device may be located in an area where odor is not continuously generated but is generated at any time. The odor reduction device 300 reduces odor by spraying a deodorant using at least one of a spray method and a vaporization method. Here, the spray method reduces odor by spraying the deodorant in a liquid form, and the vaporization method reduces odor by spraying the deodorant in a gaseous form rather than a liquid to bandwagon or deflect odor molecules present in the air.

The user terminal 400 is a terminal used by a user who submits an odor-related complaint, communicates with the monitoring device 100, and transmits a odor-related civil complaint message to the monitoring device 100. When the user terminal 400 transmits the civil complaint message to the monitoring device 100, it may 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 a 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 is generated, the type of odor (nasty smell, sour smell, sewer smell, etc.), and the degree of odor (high, medium, low, etc.), and the response message is the status of odor reduction, 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, the plurality of odor collection devices 200, the plurality of odor reduction devices 300, and at least one user terminal 400. It can support communication between each other. A communication network may be composed of a backbone network and a subscriber network. The backbone network may be composed of one or a plurality of integrated networks such as an X.25 network, a Frame Relay network, an ATM network, a Multi-Protocol Label Switching (MPLS) network, and a Generalized Multi-Protocol Label Switching (GMPLS) 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. In some embodiments, the communication network may be an Internet network or a mobile communication network. In addition, the communication network may include all other widely known or future developed wireless communication or wired communication methods.

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.

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 odor collection devices 200 , a plurality of odor 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 civil complaint message related to odor from the user terminal 400 and transmits a civil complaint related response message to the user terminal 400 .

The controller 30 performs overall control of the monitoring device 100 . The control unit 30 pre-processes the odor-related information, and analyzes and monitors the pre-processed 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 a source of odor, thereby reducing the spread of the odor. To this end, the control unit 30 includes a learning unit 31, a pre-processing unit 32 and a monitoring unit 33.

The learning unit 31 performs learning of the detection model 75 generated based on deep learning technology. Preferably, the detection model 75 may be generated using at least one of artificial intelligence algorithms such as a Convolutional Neural Network (CNN), a Long Short Term Memory Network (LSTM), and a Recurrent Neural Network (RNN). The detection model 75 detects errors in data, such as a measurement value that suddenly changes or a measurement value that is out of a preset range, while the odor collection device 200 collects odor-related information.

That is, when the learning input vector for learning is input, the detection model 75 classifies errors included in the learning input vector or outputs a prediction value for determining whether or not there is an error. Based on this detection model structure, the learning unit 31 learns so that the output predicted value approaches the correct answer value (known in advance) corresponding to the input vector for learning. To this end, the learning unit 51 repeatedly performs the corresponding learning a predetermined number of times so that the difference between the predicted value and the correct answer value is minimized. Here, the predetermined number of times means the minimum number of times that 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 by using the detection model 75 that has been learned in the learning unit 31 prior to monitoring. That is, the pre-processing unit 32 applies the received odor-related information to the detection model 75 generated based on deep learning technology to detect errors included in the data, and performs pre-processing to correct or remove the detected errors. do. Through this, the pre-processing unit 32 can block in advance the reliability degradation problem of the predicted value that may occur due to errors.

When the 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 or not odor has occurred for each region, and if it has occurred, calculates the level of odor and digitizes the level of odor. As shown in [Table 1], the monitoring unit 32 can quantify the odor and classify it into a plurality of stages.

air quality items good commonly bad very bad PM10 30 or less below 80 below 150 over 150 PM2.5 15 or less 35 or less 75 or less greater than 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 below 9 15 or less more than 15 Sulfur dioxide (SO ₂ ) 0.02 or less Less than 0.05 0.15 or less greater than 0.15 carbon dioxide (CO ₂ ) 600 or less less than 1000 2000 or less over 2000 stinky items good commonly bad very bad Complex odor (OU) less than 500 800 or less below 1200 over 1200 Hydrogen sulfide (H ₂ S) 5 or less below 10 less than 20 more than 20 Ammonia (NH ₃ ) less than 100 less than 200 300 or less over 300 Benzene (BENZ) less than 100 less than 200 300 or less over 300 Toluene (TOLU) less than 100 less than 200 300 or less over 300 wildfire items lowness commonly height serious Wildfire Danger Index less than 50 65 or less 85 or less greater than 85 radioactive item normal caution warning emergency radiation 0.2 or less 0.973 or less 973 or less greater than 973

The monitoring unit 32 detects an odor generating source, which is an area where odor is generated, by using the monitored information. The monitoring unit 32 may control the diffusion of the malodor to be reduced through the malodor reduction apparatus disposed at the malodor generating source among the plurality of malodor reduction apparatuses 300 . At this time, the monitoring unit 32 may reduce the spread of the odor by controlling the odor reduction device 300 to correspond to the divided steps as shown in Table 1. For example, the monitoring unit 32 may control the odor reduction device 300 so that the spraying range of the deodorant increases, the amount increases, and the duration increases as the level of odor increases. In addition, the monitoring unit ( 32) predicts the spread of the odor based on the odor-related information to further detect an area where the odor does not currently occur but may occur in the future. That is, the monitoring unit 32 predicts to which area the currently generated odor will spread by using environmental information such as wind direction, wind speed, and weather included in the odor-related information. The monitoring unit 32 may control the odor reduction device disposed in the predicted area to block the occurrence of odor in advance.

Here, when the monitoring unit 32 receives the civil complaint message from the user terminal 400, it checks the civil complaint occurrence area included in the complaint message, and detects an odor collection apparatus corresponding to the civil complaint occurrence area among the plurality of odor collection apparatuses 200. do. The monitoring unit 32 checks whether the complaint included in the civil complaint message is true by requesting collection of odor-related information from the detected odor collection device. If the civil complaint in the civil complaint message is true, the monitoring unit 400 may control the malodor reduction device 300 located in the malodor source, which is the civil complaint area, to reduce the spread of the malodor.

Meanwhile, when the odor collection device 200 is not located in the civil complaint area, the monitoring unit 32 detects a mobile odor collection device located closest to the civil complaint area among the plurality of odor collection devices 200. . The monitoring unit 32 controls odor-related information to be collected after moving the detected mobile odor collection device to a corresponding civil complaint area.

In addition, when the odor reduction device 300 is not disposed at the odor generating source, the monitoring unit 32 detects a 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 malodor reduction device to the corresponding odor source, and then controls the diffusion of the odor to be reduced.

The output unit 50 outputs odor-related information and outputs monitored information based on the odor-related information. In this case, the output unit 50 may output odor-related information and monitored information based on a map. For example, the output unit 50 may output odor-related information and monitored information based on a map on which sources of odor are displayed.

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 pre-processing odor-related information. In addition, the storage unit 70 stores odor-related information and information monitored based on the odor-related information. The storage unit 70 is a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (eg SD or XD memory, etc.), RAM (Random Access Memory, RAM), SRAM (Static Random Access Memory), ROM (Read-Only Memory, ROM), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory), 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 thereto and may also be expressed as a monitoring server when implemented in the form of a server.

4 is a flowchart illustrating a management method according to an embodiment of the present invention.

Referring to FIGS. 1 and 4 , the management method may perform odor monitoring in each region based on odor-related information for each region and reduce the spread of odor at the source of the odor by using the monitored information.

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 region where the corresponding device is located. Here, the odor-related information may include at least one of hydrogen sulfide, ammonia, volatile organic compounds, temperature, humidity, wind direction, wind speed, atmospheric pressure, weather, and GPS information of a corresponding region.

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

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

In step S107, the monitoring device 100 generates a control signal related to odor reduction. The monitoring device 100 detects the level of odor in the odor source and generates a control signal for reducing the odor using the identified information.

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 source.

In step S111, the odor reduction device 300a is driven according to the control signal. In this case, the odor reduction device may reduce 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 drive-related information to the monitoring device 100. The odor reduction device 300a helps the monitoring device 100 to perform odor-related monitoring in real time by providing the monitoring device 100 with feedback information about driving to reduce the odor.

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

Referring to FIG. 5 , in the smart management method, even when the odor reduction device 300 is not disposed in the odor source, the odor of the odor source may be reduced by using the mobile malodor reduction device.

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 region where the corresponding device is located.

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

In step S205, the monitoring device 100 performs odor monitoring based on the collected odor-related information. The monitoring device 100 performs monitoring for each region and detects an odor source, which is a region where odor is generated, using the monitored information. In this case, the monitoring device 100 may detect an odor reduction device disposed at an odor generating source among the plurality of odor reduction devices 300 . If the odor reduction device disposed at the odor source is not detected, the monitoring device 100 detects the mobile malodor reduction device 300a closest to the odor source.

In step S207, the monitoring device 100 generates a control signal related to odor reduction. The monitoring device 100 detects the level of odor in the odor source and generates a control signal for reducing the odor using the identified information. In this case, the monitoring device 100 may generate a control signal to include a command to move the detected mobile malodor 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 malodor reduction device 300a located closest to the odor source.

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

In step S213, the mobile malodor reduction device is driven according to the control signal. At this time, the mobile odor reduction device may reduce odor by spraying a deodorant.

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

6 is a flowchart illustrating a management method according to another embodiment of the present invention.

Referring to FIG. 6 , the management method verifies whether a civil complaint related to odor is true, and if the civil complaint is found to be true, it is possible to provide a user with a comfortable environment through quick response to the civil complaint.

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

In step S303, the monitoring device 100 checks the complaint contents included in the complaint message. The monitoring device 100 checks the civil complaint generating region included in the civil complaint message, and detects an odor collecting device corresponding to the civil complaint generating region among the plurality of odor collecting devices 200 . If the odor collection device disposed in the civil complaint area is not detected, the monitoring device 100 detects the mobile odor collection device 200a located closest to the odor source, which is the civil complaint area.

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 an area where civil complaints occur.

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

In step S309, the mobile malodor collection device 200a collects odor-related information. The mobile odor collection device 200a may collect odor-related information about an 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 odor monitoring based on the collected odor-related information. The monitoring device 100 monitors an area where civil complaints occur and determines whether civil complaints are true. If the monitoring device 100 determines that the complaint is true, it may detect an odor reduction device disposed in an odor generating area, which is a civil complaint occurrence area. If the odor reduction device disposed at the odor source is not detected, the monitoring device 100 detects the mobile malodor reduction device 300a closest to the odor source.

In step S315, the monitoring device 100 generates a control signal related to odor reduction. The monitoring device 100 detects the level of odor in the odor source and generates a control signal for reducing the odor using the identified information. In this case, the monitoring device 100 may generate a control signal to include a command to move the detected mobile malodor 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 malodor reduction device 300a located closest to the odor source.

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

In step S321, the mobile malodor reduction device 300a is driven according to the control signal. At this time, the mobile odor reduction device 300a may reduce odor by spraying a deodorant.

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

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 response status of the civil petition to the user terminal 400 that has transmitted the civil petition message. Through this, the user who filed the civil complaint can intuitively grasp the information about the civil complaint raised by himself by checking the feedback information on the civil complaint.

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

Referring to FIG. 7 , the computing device TN100 may be a device described in this specification (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 TN120, and a memory TN130. In addition, the computing device TN100 may further include a storage device TN140, an input interface device TN150, and an output interface device TN160. Elements included in the computing device TN100 may communicate with each other by being connected by a bus TN170.

The processor TN110 may execute program commands stored in at least one of the memory TN130 and the storage device TN140. The processor TN110 may mean 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, methods, and the like described in relation to 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 may store various information related to the operation of the processor TN110. Each of the memory TN130 and the storage device TN140 may include at least one of a volatile storage medium and a non-volatile storage medium. For example, the memory TN130 may include at least one of read only memory (ROM) and random access memory (RAM).

The transmitting/receiving device TN120 may transmit or receive a wired signal or a wireless signal. The transmitting/receiving device TN120 may perform communication by being connected to a network.

Meanwhile, the embodiments of the present invention are not implemented only through the devices and/or methods described so far, and may be implemented through a program that realizes functions corresponding to the configuration of the embodiments of the present invention or a recording medium in which the program is recorded. And, such implementation can be easily implemented by those skilled in the art from the description of the above-described embodiment.

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 of those skilled in the art using the basic concept of the present invention defined in the following claims are also provided. fall within the scope of the invention.

10: Ministry of Communications
30: control unit
31: learning unit
32: pre-processing 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 (10)

a plurality of odor collecting devices located for each predetermined area and collecting information on the located area and odor in the corresponding area;
a plurality of odor reduction devices respectively positioned for each predetermined area and reducing the diffusion of the odor;
At least one user terminal for transmitting a complaint message related to odor to the monitoring device; and
Pre-processing of receiving odor-related information collected from the plurality of odor collection devices and applying the received odor-related information to a detection model generated based on deep learning technology to detect, correct, or remove errors included in the data. and performs monitoring for each region based on the preprocessed odor-related information, detects an odor source, which is a region where the odor is generated, using the monitored information, and detects the odor source among the plurality of odor reduction devices. A monitoring device for controlling the spread of the odor to be reduced through an odor reduction device disposed thereon;
The monitoring device,
Using the environmental information included in the odor-related information, it is predicted to which area the currently generated odor will spread, and the odor reduction device disposed in the predicted area is controlled to prevent the occurrence of odor in the predicted area. block,
Identifying a civil complaint region included in the civil complaint message, detecting an odor collection device corresponding to the civil complaint region among the plurality of odor collection devices, and requesting collection of odor-related information from the detected 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 it is determined that the civil complaint is true, an odor reduction device disposed in the odor source, which is the area where the civil complaint occurred, is detected, and the detected odor is detected. Transmitting a control signal to reduce the odor to the reduction device,
In the case where the odor collection device is not deployed in the civil complaint area,
Among the plurality of odor collection devices, a mobile odor collection device located closest to the civil complaint generating area is detected, and after moving the detected mobile odor collecting device to the civil complaint generating area, the odor-related information is collected. do,
In the case where an odor reduction device is not installed in the odor source, which is the civil complaint area,
Among the plurality of odor reduction devices, a mobile odor reduction device located closest to the odor source, which is the civil complaint area, is detected, and the detected mobile odor reduction device is moved to the odor source, which is the civil complaint area. A smart management system characterized in that for controlling to reduce the spread of. According to claim 1,
Each of the plurality of odor collection devices,
Smart management characterized in that for collecting at least one of hydrogen sulfide, ammonia, volatile organic compounds (VOCs), temperature, humidity, wind direction, wind speed, atmospheric pressure, weather and GPS (Global Positioning System) information of the located area system. According to claim 1,
Each of the odor reduction devices,
A smart management system characterized in that the spread of the odor is reduced by spraying the deodorant using at least one of a spray method and a vaporization method. delete According to claim 1,
The monitoring device,
The smart management system, characterized in that the spread of the odor is reduced by dividing the odor of the odor generating source into a plurality of stages and controlling the odor reduction device to correspond to the divided stages. delete delete delete delete delete

Images