CN113901350A - Pollution source wall map scheduling system and terminal - Google Patents
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Abstract
The application discloses a pollution source wall map scheduling system and a terminal, and relates to the technical field of pollution source supervision. The system comprises a real-time monitoring module, a data acquisition module and a data processing module, wherein the real-time monitoring module is used for monitoring real-time data of atmosphere, water quality and noise; the information query module is used for acquiring pollution source enterprise information and gridding member information; the analysis and statistics module is used for analyzing the real-time data; the display module is used for displaying real-time data, pollution source enterprise information and gridder information on the GIS map; and the scheduling module is used for scheduling the grid members according to the grid member information and sending the law enforcement data to the grid members. According to the method, a unified space-time reference is established by utilizing the GIS, a plurality of special service application layers are superposed, various visual display and search query can be carried out on pollution source data, the pollution source monitoring data is analyzed and counted to generate the environmental pollution condition, the dispatching and law enforcement are carried out, the utilization rate of the environmental monitoring data is improved, and the environmental supervision efficiency is improved.
Description
Technical Field
The application relates to the technical field of pollution source supervision, in particular to a pollution source wall map scheduling system and a terminal.
Background
With the development of economy in China, the problem of environmental pollution is more and more emphasized by people, and in order to harmoniously develop economy and society and protect ecological environment, high-efficiency supervision on a pollution source is needed.
The GIS is named as a geographic information system and is a special and very important spatial information system. Under the support of computer hardware and software systems, the technical system for collecting, storing, managing, operating, analyzing, displaying and describing relevant geographic distribution data in the whole or partial earth surface layer (including the atmosphere) space has the advantages of intuitively displaying and reflecting geographic information by taking an electronic map as a background. The existing pollution source monitoring system is combined with a GIS to realize pollution source monitoring. In the pollution source monitoring process, the pollution source data and the geographic position of the collected pollution source data are acquired, and the pollution source data of a certain geographic position are displayed on an electronic GIS map through a GIS. However, the system cannot further analyze and integrate the collected various pollution source data, and cannot further fully utilize the obtained pollution source data, so that the pollution source supervision efficiency is reduced.
Disclosure of Invention
The application provides a pollution source wall map scheduling system and a terminal to solve the problem that the existing system cannot make full use of pollution source real-time data and reduce pollution source supervision efficiency.
The technical scheme adopted by the application is as follows:
pollution source wall map dispatch system, the system includes:
the real-time monitoring module is used for monitoring real-time data of atmosphere, water quality and noise;
the information query module is used for acquiring pollution source enterprise information and gridding member information;
the analysis and statistics module is used for analyzing the real-time data, judging whether pollution exists or not, and if the pollution exists, generating law enforcement data according to the real-time data;
the display module is used for displaying the real-time data, the pollution source enterprise information and the gridding member information on the GIS map;
and the scheduling module is used for scheduling the grid workers according to the grid worker information, comparing the position information of the grid workers with the geographic position of the pollution source if the grid worker information is online and idle, and sending the law enforcement data to the grid workers if the difference between the position information of the grid workers and the geographic position of the pollution source is less than or equal to a length threshold value.
Further, scheduling the grid members according to the grid member information further comprises:
querying, by the information query module, law enforcement experience of the grid employee;
associating a pollution source enterprise in the law enforcement experience with the grid employee;
under the condition that the information of the grid staffs is online and idle, judging whether the pollution source enterprises with pollution are associated with the grid staffs or not;
if the polluted pollution source enterprise is associated with the grid member, the law enforcement data is sent to the grid member;
and if the pollution source enterprise with the pollution is not associated with the grid member, comparing the position information of the grid member with the geographic position of the pollution source.
Further, the monitoring of real-time data of atmosphere, water quality and noise comprises:
monitoring position information and corresponding atmospheric monitoring data of a national control station, a provincial control station and a small station;
monitoring position information and corresponding water quality monitoring data of the state control station, the provincial control station and the sewage draining exit;
and monitoring the position information of the noise source and corresponding noise monitoring data.
Further, the analysis statistics module is further configured to:
ranking each administrative district according to the atmospheric monitoring data;
ranking each administrative area according to the water quality monitoring data;
and ranking each administrative area according to the noise monitoring data.
Furthermore, the display module is also used for displaying the ranking of each administrative district based on the atmospheric monitoring data, the ranking of each administrative district based on the water quality monitoring data and the ranking of each administrative district based on the noise monitoring on a GIS map.
Further, the analysis statistics module is further configured to:
respectively carrying out statistical analysis on the atmosphere monitoring data, the water quality monitoring data and the noise monitoring data according to different time periods, respectively comparing the atmosphere monitoring data, the water quality monitoring data and the noise monitoring data with an atmospheric pollutant discharge standard, a surface water environment quality standard and an urban area environment noise standard to obtain corresponding atmospheric pollution condition, water pollution condition and noise pollution condition, wherein,
the atmospheric monitoring data comprises air quality index, PM2.5, PM10, CO content and SO2Content, NO2Content and O3Content (c);
the water quality monitoring data comprises total phosphorus, total nitrogen, dissolved oxygen, ammonia nitrogen, water temperature and pH value;
the noise monitoring data comprises a noise decibel value and a geographical position where noise is generated;
the different periods include daily, monthly, quarterly, and yearly.
Further, comparing the air quality index in the atmosphere monitoring data with an air quality index in an atmosphere pollutant emission standard to obtain the atmosphere pollution condition, specifically comprising:
when the air quality index in the atmospheric monitoring data is in the range of 0-50, the air quality index grade is first grade, the air quality index class is excellent, and the representation color is green;
when the air quality index in the atmosphere monitoring data is in the range of 51-100, the air quality index grade is two levels, the air quality index class is good, and the representation color is yellow;
when the air quality index in the atmospheric monitoring data is in the range of 101-150-;
when the air quality index in the atmosphere monitoring data is in the range of 151-200-;
when the air quality index in the atmosphere monitoring data is within the range of 201-300, the air quality index grade is five, the air quality index category is heavy pollution, and the representation color is purple;
when the air quality index in the atmosphere monitoring data is larger than 300, the air quality index grade is six grade, the air quality index category is serious pollution, and the representation color is brownish red.
Further, the display module is further configured to display the atmospheric pollution condition, the water pollution condition and the noise pollution condition on a GIS map, where the atmospheric pollution condition includes the air quality index level, the air quality index category and the representation color.
Further, acquiring the pollution source enterprise information includes acquiring basic information, pollution discharge license information and pollutant information of each pollution source enterprise.
In another aspect, the present application further provides a pollution source hanging map scheduling terminal, including the pollution source hanging map scheduling system as described above.
The technical scheme of the application has the following beneficial effects:
the application utilizes the GIS technology to construct a unified space-time reference, superposes a plurality of special service application layers, comprises an atmosphere supervision service, a water quality supervision service and a noise supervision service, can perform various visual display and search query on pollution source data, analyzes and counts the pollution source monitoring data to generate environmental pollution condition data, and dispatches a gridder to enforce law according to the environmental pollution condition, so that the utilization rate of the pollution source monitoring data is improved, and the environmental supervision efficiency is comprehensively improved.
Drawings
In order to more clearly explain the technical solution of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of a pollution source hanging chart scheduling system according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions in the embodiments of the present application better understood and make the above objects, features and advantages of the embodiments of the present application more comprehensible, the technical solutions in the embodiments of the present application are described in further detail below with reference to the accompanying drawings.
Referring to fig. 1, a schematic diagram of a pollution source hanging chart scheduling system provided in an embodiment of the present application is shown.
The application provides a pollution source wall map scheduling system, based on GIS geographic information system, pollution source wall map scheduling system includes:
and the real-time monitoring module is used for monitoring real-time data of atmosphere, water quality and noise. The pollution sources are an air pollution source, a water pollution source and a noise pollution source. The monitored real-time data comprises position information of a national control station, a provincial control station and a small station and corresponding atmospheric monitoring data; monitoring position information of a national control station, an economic control station and a sewage draining exit and corresponding water quality monitoring data; and monitoring the position information of the noise source and corresponding noise monitoring data. The noise sources include industrial production noise, building construction noise, traffic noise and social life noise.
And the information query module is used for acquiring the pollution source enterprise information and the gridding member information.
Acquiring the pollution source enterprise information comprises acquiring basic information, pollution discharge license information and pollutant information of each pollution source enterprise.
The gridder refers to a person who uses the modern city network management technology to patrol, verify, report and deal with problems in municipal engineering (public) facilities, city appearance environment, social management affairs and the like, and collects, analyzes and deals with relevant information. Acquiring the information of the grid members refers to acquiring the information whether the grid members are online and idle.
And the analysis and statistics module is used for analyzing the real-time data, judging whether pollution exists or not, and generating law enforcement data according to the real-time data if the pollution exists. The law enforcement data comprises the ranking of the province, the city, the district and the county of the pollution source enterprise based on the atmospheric monitoring data, the water quality monitoring data and the noise monitoring data, the geographic positions of the places corresponding to the atmospheric pollution condition, the water quality pollution condition and the noise pollution condition. The method specifically comprises the following steps:
ranking each administrative district according to the atmospheric monitoring data, such as ranking each province, city, district and county;
ranking each administrative district according to the water quality monitoring data, such as ranking each province, city, district and county;
and ranking each administrative district according to the noise monitoring data, such as ranking each province, city, district and county.
The analysis and statistics module is also used for respectively carrying out statistical analysis on the atmospheric monitoring data, the water quality monitoring data and the noise monitoring data according to different time periods, and comprises the steps of respectively comparing the atmospheric monitoring data, the water quality monitoring data and the noise monitoring data with an atmospheric pollutant emission standard, a surface water environment quality standard and an urban area environmental noise standard to obtain a corresponding atmospheric pollution condition, a water pollution condition and a noise pollution condition, wherein the atmospheric monitoring data comprise an air quality index, PM2.5, PM10, CO content, SO content2Content, NO2Content and O3Content (c); water quality monitoring data packetIncluding total phosphorus, total nitrogen, dissolved oxygen, ammonia nitrogen, water temperature and pH value; the noise monitoring data includes decibel values of noise and geographic locations where noise is generated. The different periods include daily, monthly, quarterly and yearly. The method specifically comprises the following steps:
comparing the air quality index in the atmosphere monitoring data with the air index in the atmospheric pollutant emission standard to obtain the atmosphere pollution condition, and specifically comprising the following steps:
when the air quality index in the atmosphere monitoring data is in the range of 0-50, the air quality index grade is first grade, the air quality index class is excellent, and the representation color is green;
when the air quality index in the atmosphere monitoring data is within the range of 51-100, the air quality index grade is two-grade, the air quality index class is good, and the color is yellow;
when the air quality index in the atmospheric monitoring data is in the range of 101-150, the air quality index grade is three-grade, the air quality index category is light pollution, and the color is orange;
when the air quality index in the atmosphere monitoring data is in the range of 151-200, the air quality index level is four, the air quality index category is moderate pollution, and the color is red;
when the air quality index in the atmosphere monitoring data is within the range of 201-300, the air quality index grade is five, the air quality index category is heavy pollution, and the color is purple;
when the air quality index in the atmosphere monitoring data is larger than 300, the air quality index grade is six grade, the air quality index category is serious pollution, and the color is brownish red.
Comparing the water quality monitoring data with the surface water environment quality standard to obtain the water quality pollution condition, comprising the following steps:
the dissolved oxygen in the water quality monitoring data is more than or equal to 7.5, the total phosphorus is less than or equal to 0.02, the total nitrogen is less than or equal to 0.2 and the ammonia nitrogen is less than or equal to 0.15, and the corresponding water quality is I type;
the dissolved oxygen, total phosphorus, total nitrogen and ammonia nitrogen in the water quality monitoring data are respectively more than or equal to 6, less than or equal to 0.1, less than or equal to 0.5 and less than or equal to 0.5, and the corresponding water quality is II type;
the dissolved oxygen in the water quality monitoring data is more than or equal to 5, the total phosphorus is less than or equal to 0.2, the total nitrogen is less than or equal to 1.0, and the ammonia nitrogen is less than or equal to 1.0, so that the corresponding water quality is III;
dissolved oxygen in the water quality monitoring data is more than or equal to 3, total phosphorus is less than or equal to 0.3, total nitrogen is less than or equal to 1.5, and ammonia nitrogen is less than or equal to 1.5, so that the corresponding water quality is IV;
the dissolved oxygen in the water quality monitoring data is more than or equal to 2, the total phosphorus is less than or equal to 0.4, the total nitrogen is less than or equal to 2.0 and the ammonia nitrogen is less than or equal to 2.0, and the corresponding water quality is V-type;
and when the water quality is I type, II type, III type, IV type and V type, the pH value is within the range of 6-9, and the temperature change of the environment water caused by human factors is as follows: the average maximum temperature rise per week is less than or equal to 1 or the average maximum temperature drop per week is less than or equal to 2.
Comparing the noise monitoring data with the environmental noise standard of the urban area to obtain the noise pollution condition, comprising the following steps:
the standards of each applicable zone in the daytime and at night are respectively as follows: the special residential areas are 65dB and 65 dB; the resident and cultural and educational areas are 70dB and 67 dB; the mixing area and the commercial center area are 75dB and 72 dB; the industrial concentration area is 75dB and 72 dB; the two sides of the traffic trunk line access are 75dB and 72 dB; the two sides of the railway main line are 80dB and 80 dB. And obtaining the noise pollution condition according to the noise monitoring data, the geographical position of the noise source and the acquisition time of the noise monitoring data, and causing the noise pollution when the noise monitoring data exceeds a standard.
And the display module is used for displaying the real-time data, the pollution source enterprise information and the gridding staff information on the GIS map. The method specifically comprises the following steps:
displaying each administrative region based on the atmospheric monitoring data on a GIS map, such as ranks of each province, city, district and county; displaying each administrative region based on the water quality monitoring data, such as ranks of each province, city, district and county; and displaying each administrative district, such as each province, city, district and county ranking, based on the noise monitoring data.
And displaying the atmospheric pollution condition, the water quality pollution condition and the noise pollution condition on a GIS map, wherein the atmospheric pollution condition comprises an air quality index level, an air quality index category and a representation color. The water quality pollution condition comprises water quality grade. The noise pollution condition comprises a geographical position corresponding to the noise monitoring data, a noise decibel value, whether the noise pollution condition exceeds a zone noise limit value or not and the like.
And displaying information of the grid members on the GIS map, wherein the information comprises the geographic positions of the grid members, whether the grid members are on line, whether the grid members are idle and the like.
The scheduling module is used for scheduling the grid workers according to the information of the grid workers, and comprises the steps of comparing the position information of the grid workers with the geographic position of the pollution source if the information of the grid workers is online and idle, sending law enforcement data to the grid workers if the difference between the position information of the grid workers and the geographic position of the pollution source is smaller than or equal to a length threshold value, and enabling the grid workers receiving the law enforcement information to go ahead to enforce the law or directly informing the grid workers to go ahead to enforce the law; otherwise, other online and idle grid members are continuously examined.
In order to schedule the grid members with better understanding of the pollution source enterprises to go to law enforcement, the grid members are scheduled according to the grid member information, and the method further comprises the following steps:
inquiring the law enforcement experience of the grid operator through an information inquiry module;
associating the pollution source enterprise in the law enforcement experience with a grid operator;
under the condition that the information of the grid staffs is online and idle, judging whether the pollution source enterprises with pollution are associated with the grid staffs or not;
if the polluted pollution source enterprise is associated with the gridding staff and indicates that the gridding staff has gone to the polluted pollution source enterprise for law enforcement, law enforcement data is sent to the gridding staff, or the gridding staff is directly informed to go to law enforcement;
and if the pollution source enterprise with the pollution is not associated with the gridding staff, comparing the position information of the gridding staff with the geographic position of the pollution source.
The embodiment provides an application example of a pollution source wall map scheduling system:
and logging in the pollution source wall map scheduling system through the user account and the password.
The pollution source wall map scheduling system is divided into three layers in a special service application layer superposed by a GIS geographic information system, wherein the three layers are an atmosphere monitoring layer, a water quality monitoring layer and a noise monitoring layer.
The atmospheric monitoring layer comprises a state control station, a provincial control station, a small station, a vehicle and a thermodynamic diagram tab, and the position and the detailed atmospheric monitoring data condition of the atmospheric monitoring layer are displayed on a GIS map by clicking the tab. The water quality monitoring layer is divided into a display monitoring station (a state control station and a provincial control station) and a drain outlet option card, and position information and detailed water quality monitoring data conditions are displayed on a GIS map by clicking the option card. The noise monitoring layer is divided into a display monitoring station (national control station and provincial control station) and a noise source option card, and position information and detailed noise monitoring data conditions are displayed on the GIS map by clicking the option card.
Entering an information query module: the method comprises the steps of inquiring pollution source enterprises and grid members through key information such as search names, wherein the pollution source enterprises are inquired to display social information (names, registration dates and the like) and pollution discharge license information of corresponding enterprises; the inquiry gridder displays the state (leave, etc.) of the corresponding gridder, basic information (such as contact information, etc.) and law enforcement experience (such as information of pollution source enterprises contacted in law enforcement).
Entering an analysis and statistics module: the method comprises the steps of analyzing atmospheric monitoring data, analyzing water quality monitoring data and analyzing noise monitoring data. Wherein the analysis of the atmosphere monitoring data comprises the following steps: for monitoring factors such as air quality index, PM2.5, PM10, CO content, SO2Content, NO2Content and O3The content is analyzed according to year, month, season and day, and an analysis result is given. Analyzing water quality monitoring data: analyzing total phosphorus, total nitrogen, dissolved oxygen, ammonia nitrogen, water temperature and pH value, calculating water quality level, displaying data according to year, season, month and day selection, and giving management suggestions. Noise monitoring data analysis: and comparing the noise monitoring data with the environmental noise standard of the urban area to obtain the noise pollution condition, and displaying the conditions including the geographical position corresponding to the noise monitoring data, the noise decibel value, the zone noise limit value and the like.
And entering a scheduling module, and scheduling the grid members according to the analysis and statistics results of the analysis and statistics module and the information of the grid members so as to carry out legal treatment on the illegal pollution source enterprises. On the other hand, the analysis statistical result can also provide support for decision making and basis for emergency command and pollution prediction.
The system utilizes the GIS technology to construct a unified space-time reference, superposes a plurality of special service application layers, comprises an atmosphere supervision service, a water quality supervision service and a noise supervision service, can perform various visual display and search query on pollution source data, analyzes and counts the pollution source monitoring data to generate environmental pollution condition data, dispatches a gridder to enforce law according to the environmental pollution condition, improves the utilization rate of the pollution source monitoring data, and comprehensively improves the environmental supervision efficiency.
The application also provides a pollution source hanging map scheduling terminal which comprises the pollution source hanging map scheduling system.
The embodiments provided in the present application are only a few examples of the general concept of the present application, and do not limit the scope of the present application. Any other embodiments extended according to the scheme of the present application without inventive efforts will be within the scope of protection of the present application for a person skilled in the art.
Claims (10)
1. Pollution source wall map dispatch system, the system includes: the real-time monitoring module is used for monitoring real-time data of atmosphere, water quality and noise; characterized in that the system further comprises:
the information query module is used for acquiring pollution source enterprise information and gridding member information;
the analysis and statistics module is used for analyzing the real-time data, judging whether pollution exists or not, and if the pollution exists, generating law enforcement data according to the real-time data;
the display module is used for displaying the real-time data, the pollution source enterprise information and the gridding member information on the GIS map;
and the scheduling module is used for scheduling the grid workers according to the grid worker information, comparing the position information of the grid workers with the geographic position of the pollution source if the grid worker information is online and idle, and sending the law enforcement data to the grid workers if the difference between the position information of the grid workers and the geographic position of the pollution source is less than or equal to a length threshold value.
2. The pollution source hanging map scheduling system according to claim 1, wherein the grid members are scheduled according to the grid member information, further comprising:
querying, by the information query module, law enforcement experience of the grid employee;
associating a pollution source enterprise in the law enforcement experience with the grid employee;
under the condition that the information of the grid staffs is online and idle, judging whether the pollution source enterprises with pollution are associated with the grid staffs or not;
if the polluted pollution source enterprise is associated with the grid member, the law enforcement data is sent to the grid member;
and if the pollution source enterprise with the pollution is not associated with the grid staffs, comparing the position information of the grid staffs with the geographic position of the pollution source.
3. The pollution source hanging map scheduling system according to claim 1, wherein the monitoring of real-time data of atmosphere, water quality and noise comprises:
monitoring position information and corresponding atmospheric monitoring data of a national control station, a provincial control station and a small station;
monitoring position information and corresponding water quality monitoring data of the state control station, the provincial control station and the sewage draining exit;
and monitoring the position information of the noise source and corresponding noise monitoring data.
4. The pollution source hanging map scheduling system according to claim 3, wherein the analysis statistics module is further configured to:
ranking each administrative district according to the atmospheric monitoring data;
ranking each administrative area according to the water quality monitoring data;
and ranking each administrative area according to the noise monitoring data.
5. The pollution source wall map scheduling system of claim 4, wherein the display module is further configured to display, on a GIS map, the ranking of each administrative district based on the atmospheric monitoring data, the ranking of each administrative district based on the water quality monitoring data, and the ranking of each administrative district based on the noise monitoring.
6. The pollution source hanging map scheduling system according to claim 3, wherein the analysis statistics module is further configured to:
respectively carrying out statistical analysis on the atmosphere monitoring data, the water quality monitoring data and the noise monitoring data according to different time periods, respectively comparing the atmosphere monitoring data, the water quality monitoring data and the noise monitoring data with an atmospheric pollutant discharge standard, a surface water environment quality standard and an urban area environment noise standard to obtain corresponding atmospheric pollution condition, water pollution condition and noise pollution condition, wherein,
the atmospheric monitoring data comprises air quality index, PM2.5, PM10, CO content and SO2Content, NO2Content and O3Content (c);
the water quality monitoring data comprises total phosphorus, total nitrogen, dissolved oxygen, ammonia nitrogen, water temperature and pH value;
the noise monitoring data comprises a noise decibel value and a geographical position where noise is generated;
the different periods include daily, monthly, quarterly, and yearly.
7. The pollution source hanging map scheduling system according to claim 6, wherein the comparing the air quality index in the atmosphere monitoring data with an air quality index in an atmosphere pollutant emission standard to obtain the atmosphere pollution condition specifically comprises:
when the air quality index in the atmospheric monitoring data is in the range of 0-50, the air quality index grade is first grade, the air quality index class is excellent, and the representation color is green;
when the air quality index in the atmosphere monitoring data is in the range of 51-100, the air quality index grade is two levels, the air quality index class is good, and the representation color is yellow;
when the air quality index in the atmospheric monitoring data is in the range of 101-150-;
when the air quality index in the atmosphere monitoring data is in the range of 151-200-;
when the air quality index in the atmosphere monitoring data is within the range of 201-300, the air quality index grade is five, the air quality index category is heavy pollution, and the representation color is purple;
when the air quality index in the atmosphere monitoring data is larger than 300, the air quality index grade is six grade, the air quality index category is serious pollution, and the representation color is brownish red.
8. The pollution source wall map scheduling system of claim 7, wherein the display module is further configured to display the atmospheric pollution condition, the water pollution condition and the noise pollution condition on a GIS map, wherein the atmospheric pollution condition includes the air quality index level, the air quality index category and the representation color.
9. The pollution source charting and dispatching system of claim 1, wherein obtaining pollution source enterprise information comprises obtaining basic information, pollution discharge license information and pollutant information of each pollution source enterprise.
10. The pollution source hanging map scheduling terminal, characterized by comprising the pollution source hanging map scheduling system according to any one of claims 1 to 9.
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