KR20240020334A - Big data-based fine dust response service provision system - Google Patents

Abstract

The present invention is a service provision system for real-time response to fine dust in each region by remotely connecting the user's first terminal and the manager's second terminal, and is installed at each preset measuring station in the region to measure the fine dust concentration of the corresponding measuring station. A sensing unit that detects first event information in real time; A fine dust reduction device that corresponds to or is partially installed at the measuring station and reduces the fine dust concentration in a certain range of space adjacent to the measuring station; By establishing and communicating with the first and second terminals and the web and external servers, second event information on the operating state of the fine dust reduction device is acquired, and the first and second event information is collected and statistically analyzed. Random integrated data is extracted, and when the user's first selection signal is input from the first terminal, guide information for the user is generated by matching the first selection signal and the integrated data, and a first notification corresponding thereto is generated. Outputs a signal, and when the manager's second selection signal is input from the second terminal, guide information for the manager is generated by matching the second selection signal and the integrated data, and a second notification signal corresponding thereto is output. a control unit that does; And a notification unit provided in the first and second terminals to visually display on an arbitrary screen according to the first and second notification signals output from the control unit, efficient operation and intelligent management of the fine dust reduction device for each location. Real-time fine dust monitoring with easy accessibility can be achieved.

Description

Big data-based fine dust response service provision system {BIG DATA-BASED FINE DUST RESPONSE SERVICE PROVISION SYSTEM}

The present invention is based on big data analysis using data collected through specialized fine dust response complex facilities installed in each region and domestic and foreign fine dust-related data, and can achieve efficient operation and intelligent management of fine dust reduction devices in each location in real time. At the same time, it is about a big data-based fine dust response service provision system that can support fine dust monitoring services with easier accessibility.

As industrialization and urbanization occur, the concentration of pollutants (or harmful substances) is gradually increasing due to the increase in the number of transportation methods such as vehicles and frequent population movement, and air quality is worsening.

These air pollutants include fine dust, radon, asbestos, ozone (O3), carbon monoxide (CO), and carbon dioxide (CO2).

Among these, fine dust is particles floating in the air and is divided into fine dust with a particle diameter of 10 μm or less (PM 10) and fine dust with a particle diameter of 2.5 μm or less (PM 2.5). This fine dust penetrates the respiratory tract and has a negative effect on the respiratory system. It has been shown to increase premature mortality.

In addition, fine dust was designated as a class 1 carcinogen by the International Agency for Research on Cancer (IARC) in 2013, and PM 2.5 ultrafine dust not only causes respiratory diseases, but also enters the brain directly through olfactory cells, causing dementia. It has been designated as a class 1 carcinogen by the World Health Organization (WHO).

Accordingly, a method for managing air quality is required to improve air quality, and prior art related to air quality management method is Korean Patent Publication No. 10-2010-0090489 (hereinafter referred to as 'Prior Art 1') and registered in Korea. Patent Publication No. 10-1912625 (hereinafter referred to as ‘Prior Art 2’) has been disclosed.

Prior art 1 collects sensing information about indoor air quality through a wireless sensor node attached to an urban railroad carriage or a structure in an urban railroad station, converts and restores the sensing information, and then transmits the sensor information to the interior or exterior of the urban railroad car based on the sensing information. This relates to an air quality management system and air quality management method using a wireless sensor network that monitors the air quality inside an urban railway station and controls the air conditioning system according to the monitoring results to efficiently manage the air quality in urban railway carriages or urban railway stations.

Prior art 2 measures air quality with multiple air quality measurement devices, connects multiple air quality measurement devices and user terminals through a network, and provides a management server that receives air quality measurements at each point from multiple air quality measurement devices. This relates to a multi-point air quality management system that comprehensively provides air quality information including air quality measurements for each multi-point in mode 1 to a user terminal.

However, the above prior technologies do not have a structure for specialized complex facilities in the form of point organizations that are installed in each region to collect fine dust information in order to respond to fine dust considering regional characteristics, so it is difficult to collect customized fine dust information, and accordingly, There is a problem in that it is impossible to derive results based on big data analysis that comprehensively analyzes the data collected through these specialized complex facilities and domestic and foreign fine dust-related data.

Therefore, more detailed fine dust information is collected through the adaptive construction of specialized complex facilities to local characteristics, and based on big data analysis-based results that broadly integrate and analyze this, better accessibility that citizens can directly experience is possible. Implementation of fine dust monitoring service technology is urgent.

Republic of Korea Patent Publication No. 10-2010-0090489 (published on August 16, 2010) Republic of Korea Patent Publication No. 10-1912625 (registered on October 23, 2018)

Therefore, the present invention was developed to solve the above problems, and is based on big data analysis using data collected through specialized fine dust response facilities installed in each region and domestic and foreign fine dust-related data. The purpose is to provide a big data-based fine dust response service provision system that can achieve efficient operation and intelligent management of reduction devices in real time, while also supporting fine dust monitoring services with easier accessibility.

However, the technical problems to be achieved in the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly apparent to those skilled in the art from the description below. It will be understandable.

The big data-based fine dust response service provision system according to an embodiment of the present invention, which is a technical means for achieving the above objective, remotely connects the user's first terminal and the manager's second terminal to respond to fine dust in each region. A system providing a service for real-time response, comprising: a sensing unit installed at each preset measurement station in the area to detect first event information about the fine dust concentration of the measurement station in real time; A fine dust reduction device that corresponds to or is partially installed at the measuring station and includes at least one of a sprinkler device, a fan, and an air purifier for responding to the fine dust, and reduces the fine dust concentration in a certain range of space adjacent to the measuring station; By establishing and communicating with the first and second terminals and the web and external servers, second event information on the operating state of the fine dust reduction device is acquired, and the first and second event information is collected and statistically analyzed. Random integrated data is extracted, and when the user's first selection signal is input from the first terminal, guide information for the user is generated by matching the first selection signal and the integrated data, and a first notification corresponding thereto is generated. Outputs a signal, and when the manager's second selection signal is input from the second terminal, guide information for the manager is generated by matching the second selection signal and the integrated data, and a second notification signal corresponding thereto is output. a control unit that does; and a notification unit provided in the first and second terminals to visually display the first and second notification signals output from the control unit on an arbitrary screen.

In addition, the area may be an administrative district corresponding to an autonomous district, county, autonomous city, administrative district, or administrative city, and the measurement station is a residential complex in an administrative district corresponding to an eup, myeon, dong, ri, tong, or ban, It can be set for at least one specialized complex among subway stations, school roads, and industrial complexes.

Additionally, the control unit may include a data generation unit that collects the event information and converts it into data; a database unit that records data of the event information generated by the data generation unit and stores and manages algorithm data related to collection and statistical analysis of the event information; The data of the event information recorded in the database unit is statistically analyzed using the algorithm data to extract arbitrary integrated data, and when the first selection signal is input from the first terminal, the first selection signal and Data that generates guide information for a user while matching the integrated data, and generates guide information for an administrator while matching the second selection signal and the integrated data when the second selection signal is input from the second terminal. analysis department; And it may include a notification signal output unit that controls to output first and second notification signals corresponding to the user guide information and the manager guide information generated by the data analysis unit, respectively.

In addition, the control unit may further output an automatic control signal that automatically controls the operation of the fine dust reduction device based on control information preset according to the second event information.

In addition, the control unit determines whether the fine dust reduction device is malfunctioning by comparing and analyzing the second event information with pre-stored warning reference data, and when it is determined that the fine dust reduction device is malfunctioning as a result of the determination, Warning information for maintenance and action by the administrator can be generated and a corresponding third notification signal can be further output, and the notification unit visually displays on an arbitrary screen according to the third notification signal output from the control unit. can do.

In addition, the control unit receives and collects the first and second event information as data in the form of JSON (JavaScript Object Notation) at regular intervals through the MQTT (Message Queuing Telemetry Transport) interface, and loads it into the big data platform through the collection. This allows you to perform statistical analysis.

In addition, the control unit is configured to receive third event information including national measuring station information, air pollution information, air pollution statistical information, and sunrise/sunset time information from the external server, and the country among the third event information Measuring station information, air pollution information, and air pollution statistical information can be provided through an API using the HTTP (HyperText Transfer Protocol) interface and loaded into the big data platform along with the first and second event information to perform statistical analysis.

In addition, the control unit is configured to further receive fourth event information about road cleaning vehicle information and its operation information from the external server, and receives the fourth event information through REST (Representational State Transfer) API. Statistical analysis can be performed by loading 1, 2, 3 event information into the big data platform.

In addition, the user guide information includes concentration map information, measuring station status information, outdoor/indoor air condition information, reduction device operation status information, measuring station comparison information, national measuring station air information, air quality information by administrative district, and enforcement by administrative district. It may include business information and user behavior guide information.

Additionally, the control unit may output a first notification signal capable of displaying the user guide information in the form of at least one of a graph, diagram, and table with a plurality of color legends on the screen of the notification unit.

In addition, when generating the concentration map information, the control unit utilizes the Inverse Distance Weighted (IDW) interpolation method among the GIS (Geographic Information System) spatial interpolation methods to determine the map color of the administrative district selected by the first selection signal on the GIS. Each fine dust concentration value according to the first event information can be expressed in different colors.

In addition, the user guide information may further include clean zone reduction effect report information numerically expressed by analyzing the reduction effect at a measurement station in a specialized complex where the fine dust reduction device is installed, and the control unit may perform the clean zone reduction effect. In generating effectiveness report information, the reduction operation time and number of times per day, week, and month are calculated through the process of collecting, processing, loading, and analyzing data on the operation of the fine dust reduction device, and In order to express fine dust reduction activities as a percentage by using data on the calculated reduction operation operation time and number of times, the fine dust reduction activities can be quantified using statistical analysis.

In addition, the user guide information may further include road cleaning reduction effect report information expressed numerically by analyzing the reduction effect according to the operation of the road cleaning vehicle, and the control unit may provide the road cleaning reduction effect report information. In creating the fine dust change in driving distance, data on the fine dust concentration measured from road cleaning vehicles and road cleaning vehicles operated in each region are collected, and data on fine dust levels and fine dust suppression amount are analyzed to determine the road cleaning amount. The reduction in fine dust after the operation of the cleaning vehicle is calculated to be expressed in numbers, and the candlestick chart shows the minimum value, maximum value, 6th data in ascending order, and 18th data in ascending order from the data on 24-hour fine dust concentration from the national measuring station. Data can be analyzed and expressed.

In addition, the user guide information may further include time series concentration map query information that divides the concentration map information so that it can be viewed by time zone, and the control unit may, in generating the time series concentration map query information, The GIS spatial interpolation method and time series analysis are used to visually express and provide data on fine dust concentration over time using data collected, processed, loaded, and analyzed at specialized complex measurement stations equipped with fine dust reduction devices and predetermined national measurement stations. It can be processed by performing together.

The big data-based fine dust response service provision system according to the present invention reduces fine dust by location based on big data analysis using data collected through specialized fine dust response complex facilities installed in each region and domestic and foreign fine dust-related data. It has the effect of being able to achieve efficient operation and intelligent management of the device in real time, while also supporting a fine dust monitoring service with easier accessibility.

However, the effects that can be obtained from the present invention are not limited to the effects mentioned above, and other effects not mentioned above will be clearly understood by those skilled in the art from the description below. You will be able to.

1 is a block diagram schematically showing the electronic configuration of a big data-based fine dust response service provision system according to an embodiment of the present invention.
Figure 2 is a block diagram showing the configuration of the control unit in the fine dust response service provision system.
Figure 3 is a diagram illustrating an overview of the fine dust response service provision system.
Figure 4 is a flow chart illustrating the data process of the fine dust response service provision system.
Figure 5 is a diagram schematically showing the big data platform architecture of the fine dust response service provision system.
Figure 6 is an image illustrating the main portal screen displayed through the screen of the notification unit provided in the first and second terminals in the fine dust response service provision system.
FIG. 7 is an image illustrating an example of a portion of user guide information generated through the control unit of the fine dust response service providing system being displayed as a whole on the screen of the notification unit.
Figure 8 is an image showing an example of how measurement station status information, measurement station comparison information, national measuring station air quality information, and air quality information by administrative district among the user guide information are displayed on the screen of the notification unit.
Figures 9 and 10 are images illustrating examples of implementation project information for each administrative district among the user guide information displayed on the screen of the notification unit.
Figure 11 is an image showing an example of how user action guide information among the user guide information is displayed on the screen of the notification unit.
Figure 12 is an image showing an example of how clean zone reduction effect report information among the user guide information is displayed on the screen of the notification unit.
Figure 13 is an image showing an example of road cleaning reduction effect report information among the user guide information displayed on the screen of the notification unit.
Figure 14 is an image showing an example of time series concentration map inquiry information among the user guide information displayed on the screen of the notification unit.
Figure 15 is a block diagram schematically showing the implementation of concentration map information among the user guide information.
Figures 16 to 21 are images illustrating how guide information for managers generated through the control unit is displayed on the screen of the notification unit.
Figure 22 is an image showing an example of warning information generated through the control unit displayed on the screen of the notification unit.

Hereinafter, 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, since the description of the present invention is only an example for structural or functional explanation, the scope of the present invention should not be construed as limited by the examples described in the text. In other words, since the embodiments can be modified in various ways and can have various forms, the scope of rights of the present invention should be understood to include equivalents that can realize the technical idea. In addition, the purpose or effect presented in the present invention does not mean that a specific embodiment must include all or only such effects, so the scope of the present invention should not be understood as limited thereby.

The meaning of terms described in the present invention should be understood as follows.

Terms such as “first” and “second” are used to distinguish one component from another component, and the scope of rights should not be limited by these terms. For example, a first component may be named a second component, and similarly, the second component may also be named a first component. When a component is referred to as being “connected” to another component, it should be understood that it may be directly connected to the other component, but that other components may also exist in between. On the other hand, when a component is referred to as being “directly connected” to another component, it should be understood that there are no other components in between. Meanwhile, other expressions that describe the relationship between components, such as "between" and "immediately between" or "neighboring" and "directly neighboring" should be interpreted similarly.

Singular expressions should be understood to include plural expressions, unless the context clearly indicates otherwise, and terms such as “comprise” or “have” refer to the specified features, numbers, steps, operations, components, parts, or them. It is intended to specify the existence of a combination, and should be understood as not excluding in advance the possibility of the presence or addition of one or more other features, numbers, steps, operations, components, parts, or combinations thereof.

All terms used herein, unless otherwise defined, have the same meaning as commonly understood by a person of ordinary skill in the field to which the present invention pertains. Terms defined in commonly used dictionaries should be interpreted as consistent with the meaning they have in the context of the related technology, and cannot be interpreted as having an ideal or excessively formal meaning unless clearly defined in the present invention.

Figure 1 is a block diagram schematically showing the electronic configuration of a big data-based fine dust response service provision system according to an embodiment of the present invention, and Figure 2 is a block diagram showing the configuration of the control unit in the fine dust response service provision system. , FIG. 3 is a diagram illustrating an outline of the fine dust response service provision system, FIG. 4 is a flowchart illustrating the data process of the fine dust response service provision system, and FIG. 5 is a diagram illustrating the fine dust response service provision system. It is a diagram schematically showing the big data platform architecture of the service provision system, and Figure 6 is an image illustrating the main portal screen displayed through the screen of the notification unit provided in the first and second terminals in the fine dust response service provision system. 7 is an image illustrating a portion of the user guide information generated through the control unit of the fine dust response service providing system displayed as a whole through the screen of the notification unit, and FIG. 8 is an image showing the user guide information. This is an image illustrating the status information of the central measuring station, comparison information of the measuring station, air quality information of the national measuring station, and air quality information by administrative district displayed on the screen of the notification unit, and Figures 9 and 10 are among the user guide information. This is an image showing an example of how implementation project information for each administrative district is displayed through the screen of the notification unit, and Figure 11 shows an example of how user action guide information among the user guide information is displayed through the screen of the notification unit. It is an image, and FIG. 12 is an image showing an example of how clean zone reduction effect report information among the user guide information is displayed on the screen of the notification unit, and FIG. 13 is road cleaning reduction effect report information among the user guide information. is an image showing an example of what is displayed on the screen of the notification unit, FIG. 14 is an image showing an example of how time series concentration map inquiry information among the user guide information is displayed on the screen of the notification unit, and FIG. 15 is a block diagram schematically showing the implementation of concentration map information among the user guide information, and Figures 16 to 21 exemplarily show how the administrator guide information generated through the control unit is displayed on the screen of the notification unit. This is an image, and FIG. 22 is an image illustrating how warning information generated through the control unit is displayed on the screen of the notification unit.

As shown in FIGS. 1 to 4, the big data-based fine dust response service providing system 100 according to the present invention is a system that provides services for real-time response to regional fine dust, and the first terminal 110 , It can be configured to include a second terminal 120, a sensing unit 130, a fine dust reduction device 140, a web 150, an external server 160, a control unit 170, and a notification unit 180. .

The first terminal 110 is configured to include various known input devices (not shown) such as a keyboard, pad, and mouse. According to a preferred embodiment of the present invention, it is located at the user and makes the user's first selection, which will be described later. An input environment is provided to allow signals to be input to the web 150, the external server 160, and the control unit 170.

The second terminal 120 is configured to communicate remotely with the above-described first terminal 110, and may have the same components as the first terminal 110. According to the present invention, the administrator It provides an input environment in which the manager's second selection signal, which will be described later, can be input to the web 150, the external server 160, and the control unit 170.

Here, the first and second terminals 110 and 120 may be comprised of a plurality of terminals, and are preferably smartphones, but are not limited thereto and may also be PCs, tablets, etc.

Since the configuration of the first and second terminals 110 and 120 corresponds to a typical terminal device that is generally published, the detailed configuration is not shown in the drawings and a more detailed description thereof will be omitted.

The sensing unit 130 is installed at each preset measuring station in the area and performs the function of detecting first event information about the fine dust concentration at the corresponding measuring station in real time.

At this time, the area may be an administrative district corresponding to an autonomous district, county, autonomous city, administrative district, or administrative city, and the measurement station may be a residential complex or subway station in an administrative district corresponding to an eup, myeon, dong, ri, tong, or ban. It can be set for at least one specialized complex among , school roads, and industrial complexes.

In addition, according to the present invention, the sensing unit 130 is preferably configured to include a fine dust meter, a temperature and humidity sensor, an atmospheric pressure sensor, and a wind sensor to more specifically measure the concentration of fine dust, but is limited to this. However, various modifications and designs may be made within the technical scope of the present invention by those skilled in the art.

The fine dust reduction device 140 includes at least one of a sprinkler device, a fan, and an air purifier to respond to fine dust, and is configured to reduce the fine dust concentration in a certain range of space adjacent to the measuring station while being partially installed. You can.

The web 150 is an Internet service configured to support various multimedia such as text, graphics, images, sounds, and video. According to the present invention, the web 150 is connected to the first and second terminals 110 and 120 to provide the first and second terminals 110 and 120. 2 It can be configured to provide various announced search and management contents to users and managers using the terminals 110 and 120, respectively.

The external server 160 is preferably configured to correspond to the above-described web 150 to form a network with the first and second terminals 110 and 120, the web 150, and the control unit 170, and the web It performs the function of servicing a preset program in the control unit 170 in conjunction with (150), and more preferably, according to the present invention, servers of public institutions including the Korea Meteorological Administration, Ministry of Environment, Ministry of Land, Infrastructure and Transport, and Ministry of Public Administration and Security can be applied. there is.

The control unit 170 communicates by establishing a network with the first and second terminals 110 and 120, the web 150, and the external server 160, and provides information on the operating state of the fine dust reduction device 140. 2 Obtain event information, collect and statistically analyze the first and second event information, and extract arbitrary integrated data. When the user's first selection signal is input from the first terminal 110, the first selection is made. Guide information for the user is generated while matching the signal and the integrated data, and a corresponding first notification signal is output. When the second selection signal of the manager is input from the second terminal 120, the second selection signal and It is a configuration that generates guide information for managers while matching integrated data with each other and outputs a second notification signal corresponding thereto. More specifically, as shown in FIG. 2, a data generation unit 171 and a database unit ( 172), a data analysis unit 173, and a notification signal output unit 174.

The data generator 171 performs the function of collecting the above-described event information and converting it into data.

The database unit 172 may be configured to record data of the event information generated by the data generation unit 171, and to store and manage algorithm data related to the collection and statistical analysis of the event information.

The data analysis unit 173 performs statistical analysis on the event information data recorded in the database unit 172 using the algorithm data, extracts arbitrary integrated data, and transmits the first data from the first terminal 110. When a selection signal is input, guide information for the user is generated by matching the first selection signal and the integrated data. When a second selection signal is input from the second terminal 120, the second selection signal and the integrated data are generated. It performs the function of generating guide information for administrators by matching them with each other.

The notification signal output unit 174 performs a function of controlling the output of first and second notification signals corresponding to the user guide information and the administrator guide information generated by the data analysis unit 173, respectively.

Meanwhile, the control unit 170 configured as described above can further output an automatic control signal that automatically controls the operation of the fine dust reduction device 140 based on control information preset according to the second event information. there is.

In addition, the control unit 170 determines whether the fine dust reduction device 140 is malfunctioning by comparing and analyzing the second event information with pre-stored warning standard data, and as a result of the determination, the fine dust reduction device 140 If it is determined to be malfunctioning, it is possible to generate warning information for maintenance and action by the manager and further output a corresponding third notification signal, and the notification unit 180, which will be described later, responds to the output third notification signal. Accordingly, it is displayed visually on an arbitrary screen.

The control unit 170 receives and collects the first and second event information as data in the form of JSON (JavaScript Object Notation) at regular intervals using the MQTT (Message Queuing Telemetry Transport) interface, and loads it into the big data platform through the collection. This allows you to perform statistical analysis.

In addition, the control unit 170 is configured to receive third event information including national measuring station information, air pollution information, air pollution statistical information, and sunrise/sunset time information from the external server 160, and the third event Among the information, national measuring station information, air pollution information, and air pollution statistical information are provided through an HTTP (HyperText Transfer Protocol) interface type API and loaded into the big data platform along with the first and second event information to perform statistical analysis. .

Furthermore, the control unit 170 is configured to further receive fourth event information about road cleaning vehicle information and its operation information from the external server 160, and converts the fourth event information into REST (Representational State Transfer) API. It can be provided and loaded into the big data platform along with the first, second, and third event information to perform statistical analysis.

In the present invention, the user guide information includes concentration map information, measuring station status information, outdoor/indoor air condition information, reduction device operation status information, measuring station comparison information, national measuring station air information, air quality information by administrative district, and enforcement by administrative district. It may include business information and user behavior guide information.

In addition, the control unit 170 outputs a first notification signal that can display the user guide information in the form of at least one of a graph, diagram, and table with a plurality of color legends on the screen of the notification unit 180. can do.

Here, the control unit 170 uses the IDW (Inverse Distance Weighted) interpolation method among the GIS (Geographic Information System) spatial interpolation methods to generate the concentration map information among the above-described user guide information, and displays the above-mentioned information on the GIS. The map color of the administrative district selected by the first selection signal may be expressed in different colors for each fine dust concentration value according to the first event information.

In addition, the user guide information may further include clean zone reduction effect report information numerically expressed by analyzing the reduction effect at a measurement station in a specialized complex where the fine dust reduction device 140 is installed, and the control unit 170 may In generating clean zone reduction effect report information, through the process of collecting, processing, loading and analyzing data on the operation of the fine dust reduction device 140, the reduction operation time and operation time on a daily, weekly, and monthly basis are determined. In order to calculate the number of times and express fine dust reduction activities as a percentage by using the calculated reduction operation operation time and data on the number of times, the amount of fine dust reduction activities can be quantified using statistical analysis. there is.

In addition, the user guide information may further include road cleaning reduction effect report information expressed numerically by analyzing the reduction effect according to the operation of the road cleaning vehicle, and the control unit 170 provides this road cleaning reduction effect report information. In creating the fine dust change in driving distance, data on the fine dust concentration measured from road cleaning vehicles and road cleaning vehicles operated in each region are collected, and data on fine dust levels and fine dust suppression amount are analyzed to determine the road cleaning amount. The reduction in fine dust after the operation of the cleaning vehicle is calculated to be expressed in numbers, and the candlestick chart shows the minimum value, maximum value, 6th data in ascending order, and 18th data in ascending order from the data on 24-hour fine dust concentration from the national measuring station. Data can be analyzed and expressed.

Furthermore, the user guide information may further include time series concentration map query information that divides the concentration map information so that it can be viewed by time zone, and the control unit 170 generates such time series concentration map query information, The GIS spatial interpolation method is used to visually express and provide data on fine dust concentration by time period using data collected, processed, loaded, and analyzed at a specialized complex measuring station where the fine dust reduction device 140 is installed and a predetermined national measuring station. and time series analysis can be performed together to be processed.

The notification unit 180 visually displays on an arbitrary screen according to the first and second notification signals output from the control unit 170, preferably, the user's first terminal 110 and the manager's first terminal 110. It may be configured to be provided in each second terminal 120.

The notification unit 180 may be used for a liquid crystal display (LCD), a thin film transistor-liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), or a flexible display. It may be configured to include at least one of a flexible display and a 3D display.

A detailed description of preferred embodiments of the invention disclosed above is provided to enable any person skilled in the art to make or practice the invention. Although the present invention has been described above with reference to preferred embodiments, those skilled in the art will understand that various modifications and changes can be made to the present invention without departing from the scope of the present invention. For example, a person skilled in the art may use each configuration described in the above-described embodiments by combining them with each other. Accordingly, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

The present invention may be embodied in other specific forms without departing from the spirit and essential features of the present invention. Accordingly, the above detailed description should not be construed as restrictive in all respects and should be considered illustrative. The scope of the present invention should be determined by reasonable interpretation of the appended claims, and all changes within the equivalent scope of the present invention are included in the scope of the present invention. The present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein. In addition, claims that do not have an explicit reference relationship in the patent claims can be combined to form an embodiment or included as a new claim through amendment after filing.

100: Fine dust response service provision system 110: First terminal
120: second terminal 130: sensing unit
140: Fine dust reduction device 150: Web
160: external server 170: control unit
171: data generation unit 172: database unit
173: data analysis unit 174: notification signal output unit
180: Notification unit

Claims (14)

In a system that provides a service for real-time response to regional fine dust by remotely connecting the user's first terminal and the manager's second terminal,
A sensing unit installed at each preset measuring station in the area to detect first event information about the fine dust concentration at the measuring station in real time;
A fine dust reduction device that corresponds to or is partially installed at the measuring station and includes at least one of a sprinkler device, a fan, and an air purifier for responding to the fine dust, and reduces the fine dust concentration in a certain range of space adjacent to the measuring station;
By establishing and communicating with the first and second terminals and the web and external servers, second event information on the operating state of the fine dust reduction device is acquired, and the first and second event information is collected and statistically analyzed. Random integrated data is extracted, and when the user's first selection signal is input from the first terminal, guide information for the user is generated by matching the first selection signal and the integrated data, and a first notification corresponding thereto is generated. Outputs a signal, and when the manager's second selection signal is input from the second terminal, guide information for the manager is generated by matching the second selection signal and the integrated data, and a second notification signal corresponding thereto is output. a control unit that does; and
A system for providing a fine dust response service based on big data, including a notification unit provided in the first and second terminals and visually displaying the first and second notification signals output from the control unit on an arbitrary screen.
According to claim 1,
The area is
It is characterized as an administrative district corresponding to an autonomous district, county, autonomous city, administrative district, or administrative city,
The measuring station is,
A big data-based fine dust response service provision system that is set for at least one specialized complex among residential complexes, subway stations, school roads, and industrial complexes in administrative districts corresponding to towns, villages, dongs, ri, tongs, and bans.
According to claim 2,
The control unit,
a data generator that collects the event information and converts it into data;
a database unit that records data of the event information generated by the data generation unit and stores and manages algorithm data related to collection and statistical analysis of the event information;
The data of the event information recorded in the database unit is statistically analyzed using the algorithm data to extract arbitrary integrated data, and when the first selection signal is input from the first terminal, the first selection signal and Data that generates guide information for a user by matching the integrated data with each other, and generates guide information for an administrator while matching the second selection signal with the integrated data when the second selection signal is input from the second terminal. analysis department; and
Providing a big data-based fine dust response service characterized by comprising a notification signal output unit that controls the output of first and second notification signals corresponding to the user guide information and the administrator guide information generated from the data analysis unit, respectively. system.
According to claim 3,
The control unit,
A big data-based fine dust response service providing system, characterized in that it further outputs an automatic control signal that automatically controls the operation of the fine dust reduction device based on control information preset according to the second event information.
According to claim 4,
The control unit,
The second event information is compared and analyzed with pre-stored warning standard data to determine whether the fine dust reduction device is malfunctioning, and if it is determined that the fine dust reduction device is malfunctioning as a result of the determination, the manager's maintenance and action are taken. It is characterized by generating warning information for and further outputting a corresponding third notification signal,
The notification unit,
A system for providing a fine dust response service based on big data, characterized in that it visually displays on an arbitrary screen according to the third notification signal output from the control unit.
According to claim 5,
The control unit,
The first and second event information is received and collected as data in the form of JSON (JavaScript Object Notation) at regular intervals using the MQTT (Message Queuing Telemetry Transport) interface, and the collection is loaded into a big data platform to perform statistical analysis. A big data-based fine dust response service provision system characterized by:
According to claim 6,
The control unit,
Configured to be able to receive third event information including national measuring station information, air pollution information, air pollution statistical information, and sunrise/sunset time information from the external server,
Among the third event information, the national measuring station information, air pollution information, and air pollution statistical information are provided through an HTTP (HyperText Transfer Protocol) interface type API and loaded into a big data platform together with the first and second event information for statistical analysis. A big data-based fine dust response service provision system characterized by performing.
According to claim 7,
The control unit,
Configured to further receive fourth event information about road cleaning vehicle information and its operation information from the external server,
A big data-based fine dust response service characterized by receiving the fourth event information through REST (Representational State Transfer) API and loading it into a big data platform along with the first, second, and third event information to perform statistical analysis. Delivery system.
According to claim 8,
The above user guide information is,
Contains concentration map information, measuring station status information, outdoor/indoor air condition information, reduction device operation status information, measuring station comparison information, national measuring station air quality information, air quality information by administrative district, implementation project information by administrative district, and user action guide information. A big data-based fine dust response service provision system characterized by the following.
According to clause 9,
The control unit,
Big data-based fine dust response, characterized by outputting a first notification signal that can display the user guide information in the form of at least one of a graph, diagram, and table with a plurality of color legends on the screen of the notification unit. Service delivery system.
According to clause 9,
The control unit,
In generating the concentration map information,
By using the Inverse Distance Weighted (IDW) interpolation method among the GIS (Geographic Information System) spatial interpolation methods, the map color of the administrative district selected by the first selection signal on the GIS is different for each fine dust concentration value according to the first event information. A big data-based fine dust response service provision system characterized by being expressed in color.
According to clause 9,
The above user guide information is,
Characterized in that it further includes clean zone reduction effect report information expressed numerically by analyzing the reduction effect at a measurement station in a specialized complex where the fine dust reduction device is installed,
The control unit,
In generating the clean zone reduction effect report information,
Through the process of collecting, processing, loading and analyzing data on the operation of the fine dust reduction device, the reduction operation time and frequency are calculated on a daily, weekly and monthly basis, and the calculated reduction operation operation time and the number of times are calculated. A big data-based fine dust response service provision system characterized in that the amount of fine dust reduction activities is quantified using statistical analysis in order to express fine dust reduction activities as a percentage using data on the number of times.
According to clause 9,
The above user guide information is,
Characterized by further including road cleaning reduction effect report information expressed numerically by analyzing the reduction effect according to the operation of the road cleaning vehicle,
The control unit,
In generating the road cleaning reduction effect report information,
In terms of fine dust changes in driving distance, we collected data on the operation of road cleaning vehicles in each region and the concentration of fine dust measured in the road cleaning vehicles, and analyzed the data on fine dust levels and the amount of fine dust suppression to determine the level of fine dust after driving the road cleaning vehicles. It is expressed numerically through calculation of dust reduction, and the candlestick chart is expressed by analyzing the minimum value, maximum value, 6th data in ascending order, and 18th data in ascending order from data on 24-hour fine dust concentration from a national measuring station. A big data-based fine dust response service provision system characterized by ensuring that
According to claim 11,
The above user guide information is,
Characterized by further including time series concentration map inquiry information that divides the concentration map information so that it can be viewed by time zone,
The control unit,
In generating the time series concentration map inquiry information,
The GIS spatial interpolation method and time series are used to visually express and provide data on fine dust concentration over time using data collected, processed, loaded, and analyzed at specialized complex measuring stations where the fine dust reduction devices are installed and predetermined national measuring stations. A big data-based fine dust response service provision system characterized by performing analysis together and processing it.