Atmospheric pollution potential comprehensive analysis and decision system based on WebGIS map

Abstract

The invention provides an atmospheric pollution potential comprehensive analysis and decision-making system based on a WebGIS map. The atmospheric pollution potential comprehensive analysis and decision-making system comprises an atmospheric environment data resource center, an atmospheric environment current situation analysis graph, an atmospheric pollution potential research, judgment and analysis graph, an atmospheric environment precise pollution control auxiliary supervision graph and a comprehensive decision-making and commanding and dispatching graph. The four types of'one graph 'are fused with an atmospheric environment data resource center, so that geographical visualization information and comprehensive analysis information of each thematic'one graph' can be visually and clearly displayed on one interface. According to the system, various environmental data can be collected, a basic database is formed, the basic database data is deeply mined and analyzed, scientific and efficient atmospheric environment service theme maps, such as current situation analysis, potential research and judgment, pollution control supervision and decision command, close to actual services are established based on a WebGIS map, and an advanced and visual comprehensive analysis and decision system is constructed.

Description

Technical Field

[0001] The present invention relates to atmospheric pollution potential analysis, assessment and comprehensive decision-making services, and in particular to an atmospheric pollution potential comprehensive analysis and decision-making system based on a WebGIS map. Background Art

[0003] The application platforms that have been established have not been able to fully release the value of monitoring data, and have failed to integrate and awaken ecological environment monitoring and related data resources, making it difficult to meet the business needs of multi-target coordinated emission reduction path optimization, multi-department cross-regional coordinated regulation, heavy pollution process warning and real-time evaluation. On the basis of existing work, a regional air quality analysis and judgment and comprehensive decision-making system will be established to achieve the integration, technology and intelligence of multi-level data collection, situation judgment, and decision-making analysis, which can provide business support for regional refined pollution control and supervision. Summary of the invention

[0004] In view of the above technical problems, the present invention provides an atmospheric pollution potential comprehensive analysis and decision-making system based on WebGIS map, which is used for atmospheric pollution potential analysis and comprehensive decision-making business of environmental management departments. The system is mainly aimed at business personnel of environmental protection execution agencies, environmental protection policy decision-making agencies, etc. The system has strong practicality and versatility, and can scientifically and accurately implement the method of comprehensive analysis and decision-making of atmospheric pollution potential.

[0005] Technical solution: The WebGIS map-based atmospheric pollution potential comprehensive analysis and decision-making system of the present invention includes an atmospheric environment data resource center, an atmospheric environment status analysis map, an atmospheric pollution potential assessment and analysis map, an atmospheric environment precise pollution control auxiliary supervision map, and a comprehensive decision-making and command and dispatch map; the four types of "one map" integrate the atmospheric environment data resource center, which can realize the intuitive and clear display of the geographic visualization information and comprehensive analysis information of each "one map" in one interface.

[0006] The atmospheric environment data resource center is centered on atmospheric environment management data, collects various environmental data, forms a basic database, and then conducts in-depth mining and analysis of the basic database data to establish a scientific, efficient, and practical atmospheric environment business subject analysis database, and builds an advanced analysis platform. Furthermore, the atmospheric environment data resource center includes an online environmental monitoring database, a pollution source database, an environmental basic geographic database, a socio-economic database, an environmental comprehensive business database, a satellite image database, an environmental model database, and other databases. Among them, the environmental online monitoring database mainly includes air quality monitoring data, atmospheric super station monitoring data, particulate matter lidar monitoring data, atmospheric grid site monitoring data and meteorological monitoring data; the pollution source database mainly includes online monitoring data, environmental electricity supervision data, environmental statistical data, pollution source census data, pollutant discharge permit data, environmental impact assessment data, atmospheric pollution source emission inventory data, motor vehicle exhaust monitoring data, dust pollution information monitoring data, air-related multimedia information monitoring data and air-related enterprise "environmental protection code" data; the environmental basic geographic database mainly includes administrative divisions, river and lake distribution, population distribution, land use and road network basic geographic data; the environmental comprehensive business database mainly includes air quality target management theme database, air quality monitoring theme database, pollution source emission theme database, emergency plan management theme database, atmospheric supervision theme database, etc.

[0007] Furthermore, the atmospheric environment data resource center shall establish a complete resource catalog system, provide various displays of atmospheric environment data, and enable users at all levels to query according to different information types and different search frequencies, thereby truly enhancing the service capabilities of the environmental data resource center, and uniformly providing comprehensive and multi-level environmental data services for environmental management, government decision-making and environmental information disclosure, and providing data support for air pollution prevention and control and future atmospheric environment supervision. According to the environmental information data standard specifications, a suitable environmental resource catalog shall be constructed, and the data resources of the existing environmental monitoring, supervision, supervision and other environmental management information systems shall be collected, summarized and cleaned to achieve organic integration. If necessary, the historical paper data and unstructured data generated in various environmental protection businesses shall be processed, and the construction results shall be fully guaranteed in terms of data quality and completeness, and the refined expression of relevant data can be achieved through spatialization.

[0008] The atmospheric environment status analysis map is based on WebGIS maps, with the help of visual analysis methods, integrating information resource integration, visual analysis display and decision-making. It focuses on fighting the tough battle against air pollution and various special operations, and builds an atmospheric environment map that reflects the atmospheric environment quality status, pollution sources, environmental monitoring, and key tasks. It has a goal-oriented decision-making service function, and provides intuitive and convenient dynamic air quality status analysis topics, air quality prediction and forecast topics, atmospheric pollution source status topics, atmospheric environment status analysis report management, etc. Further, the dynamic air quality status analysis topic displays the current air quality status, including the current AQI, primary pollutants, concentrations of various pollutants, wind speed, wind direction, temperature, rainfall, etc., and provides air quality rankings, monitoring over-standard alarms, trends in the past 24 hours, city deviation maps, pollutant radar maps and other analyses.

[0009] Furthermore, the air quality forecast topic can display the details of the air quality forecast for a period of time in the future based on a map according to the connected air quality early warning and forecast platform, and realize the customized display and download functions of forecast briefing and forecast evaluation report.

[0010] Furthermore, the topic on the current status of air pollution sources mainly describes the overall emission situation of air pollution sources based on a picture of air pollution source management, and analyzes the overall emission behavior of the region, including: the number of waste gas enterprises, overall emissions, emission rankings by administrative divisions, rankings of enterprises exceeding the standard, and changes in the total emissions of the region, etc., and provides multi-dimensional statistical analysis of production facilities, treatment facilities, etc.

[0011] Furthermore, the atmospheric environment status analysis report management, according to the preset template, selects the time range and regional range, and the system automatically generates various analysis reports, including air quality analysis report, annual / monthly / daily compliance analysis report, regional compliance analysis report, pollution forecast briefing, forecast assessment analysis report, pollution source emission contribution analysis report, etc. Management functions such as modification, review and download of reports can be realized.

[0012] The atmospheric pollution potential analysis map is based on WebGIS map, and is constructed to reflect the dynamic tracing of atmospheric pollution, transmission process analysis, data feature analysis, atmospheric monitoring point contribution analysis, and pollution source and monitoring data correlation analysis. It has the function of realizing pollutant source tracking and cause analysis, and provides intuitive and convenient atmospheric pollution process analysis reports, pollution source comprehensive analysis special reports, and pollution potential analysis reports. Furthermore, the dynamic tracing of atmospheric pollution establishes a pollution dynamic tracing model based on the big data center and AI middle station. The model integrates large-area meteorological fields, local meteorological conditions, dynamic supervision of pollution sources, and air quality monitoring data to establish a source-meteorology-quality relationship chain, and dynamically allocates data weights under different conditions. After long-term dynamic training, it outputs pollution sources that contribute more to air stations. The model can not only consider conventional air quality monitoring pollutants, but also use various component data of regional local particulate matter and photochemical component stations to improve the accuracy of tracing.

[0013] Furthermore, the transmission process analysis analyzes the data change patterns between points / cities to determine whether a pollution transmission process occurs, and can be combined with meteorological data to determine the impact of regional transmission.

[0014] Furthermore, the data feature analysis can be used to analyze the pollution features of single-point historical data, or to conduct regional feature radar chart analysis based on regional multi-site data. Users can use this to determine multiple pollution types, such as sand and dust pollution, coal-burning pollution, secondary particulate pollution, motor vehicle pollution, and fireworks pollution; in regional distribution, multiple regional types can be determined, such as coal-burning pollution areas, motor vehicle pollution areas, and steel pollution areas.

[0015] Furthermore, the point contribution analysis is used to analyze the data relationship between the site and the area where it is located, clarify the contribution of the site indicators to the pollution of the area, and determine the disadvantage factors of each site for key control.

[0016] Furthermore, the pollution sources and monitoring data are analyzed in association, and air quality data, pollution source monitoring data, pollution source inventory data, and meteorological data are displayed in a centralized manner. Users can freely combine the above data according to historical / real-time pollution source emissions, analyze the association between the data, and analyze the pollution source emission characteristics and pollution causes from the perspective of the city as a whole.

[0017] The one-picture map for precise pollution control and auxiliary supervision of the atmospheric environment is based on WebGIS map, which is used to construct a one-picture map for precise pollution control and auxiliary supervision of the atmospheric environment, reflecting the refined supervision of pollution sources such as industrial sources, mobile sources and dust sources, and realizing comprehensive perception and real-time monitoring capabilities of multiple environmental factors and various pollution sources, while realizing accurate analysis of the atmospheric environmental quality status, tracking and prevention of environmental pollution, and prediction and judgment of development trends. Furthermore, the refined supervision of industrial sources includes online monitoring of flue gas, online monitoring of electricity consumption, and online monitoring of working conditions. The platform relies on technologies such as power sensors, the Internet of Things (2G / 4G / NB-IOT / LORA, etc.), big data and intelligent cloud computing, and integrates the total electricity consumption of enterprises, electricity consumption of production equipment and electricity consumption of pollution control equipment, Video, access control, etc. are included in the platform monitoring. Based on the big data center and AI middle platform, a multi-source data fusion model is established to integrate many data such as flue gas emission concentration, factory boundary pollutant monitoring, enterprise metering, production facility and treatment facility condition monitoring into a dynamic portrait of the industrial source. The AI ​​model can autonomously learn and analyze in real time all aspects of its production, treatment, emission and transportation, including correlation analysis, power outage analysis, production suspension and restriction analysis, and cross-line analysis. Artificial intelligence calculation methods can be used to promptly discover abnormal production and emission conditions of industrial enterprises. At the same time, combined with the retrieval of video surveillance and remote monitoring of waste gas and wastewater emissions and concentrations, we can effectively respond to various problems in the environmental protection supervision process, realize online joint defense and linkage, and deepen off-site supervision of pollution sources.

[0018] Furthermore, the mobile source fine-grained supervision includes the supervision of the location of muck trucks, the supervision of black smoke vehicles and the supervision of large corporate vehicle users. The real-time location data of muck trucks includes the real-time location and trajectory data of all networked muck transport vehicles. By accessing the real-time location data of muck trucks, the real-time location and driving trajectory of muck trucks can be mastered, providing dynamic data for pollution cause analysis and vehicle control. The platform can graphically display the big data of muck truck driving based on GIS technology, show the density of vehicle driving in the form of heat map, and intuitively display the driving area of ​​muck trucks. The remote sensing monitoring data of motor vehicle exhaust includes the real-time monitoring data of all established motor vehicle exhaust remote sensing monitoring checkpoints, such as real-time passing vehicles, basic information of passing vehicles, and monitoring data of exhaust pollutants of passing vehicles. The basic information of passing vehicles includes license plate number, vehicle model, speed and other information; exhaust pollutants of passing vehicles include carbon monoxide, sulfur dioxide, hydrocarbons, nitrogen oxides, Ringelmann blackness, etc. The traffic supervision data of large vehicle users includes the vehicle entry and exit records of the entrances and exits of key vehicle users that have been connected to the network, such as the time of passage, information of passing vehicles, etc. The passing vehicle information includes license plate number, vehicle model, photos of vehicles passing by, etc. By accessing the traffic supervision data of large vehicle users, the daily vehicle entry and exit information of key vehicle users and the emission standards of passing vehicles can be obtained.

[0019] Furthermore, the dust source fine-grained supervision includes real-time monitoring of all networked construction sites in the region. Concentration monitoring data, and judge the construction site by obtaining real-time air quality data from the district or county where the construction site is located Whether it exceeds the standard. At the same time, the system supports access to the real-time video stream of the video surveillance of the construction site, so that the construction status of each site can be mastered without arriving at the site. Based on image recognition technology, the video surveillance screen installed in the construction site is analyzed in real time, and real-time alarms are issued for emergencies. When the video screen is found to have violations that do not meet the six hundred percent, the system can actively trigger an alarm prompt.

[0020] The comprehensive decision-making and command and dispatch one map is professionally mapped based on WebGIS maps, on-site pictures, and multi-layer geographic information, providing full-process visual command and dispatch of environmental problem events, including linkage analysis, task generation, leadership approval, task issuance, task handling, task tracking, and task feedback, to achieve unified dispatch and result feedback for all environmental issues, which are uniformly presented in one map. Furthermore, the comprehensive decision-making and command and dispatch business generates and issues tasks based on one map and the content of the business process analysis report derived from it. Task types include air quality compliance monitoring decomposition tasks, dynamic alarm implementation dispatch tasks, daily command and dispatch tasks, pollution day warning command and dispatch tasks, etc. See the attached figure for the comprehensive decision-making analysis business process diagram and the command and dispatch business process diagram ( Figure 2 and Figure 3 ).

[0021] Furthermore, the air quality compliance monitoring and decomposition task uses comprehensive analysis of conventional monitoring data, meteorological data and other data, combined with big data, deep mining and other technologies, to achieve real-time dynamic monitoring of the gap between the current air quality status and the standard, calculate the possibility of meeting the standard for the day, month and year, and dynamically decompose the emission reduction target. At the same time, it provides pollution cause analysis and corresponding control recommendations, assisting environmental management departments in providing a scientific basis for dynamic decision-making to achieve air quality standards.

[0022] Furthermore, the dynamic alarm implementation scheduling task includes two types: single alarm and associated alarm.

[0023] Furthermore, the daily command and dispatch tasks include abnormality discovery, task generation, analysis and judgment, task review, instruction issuance and receipt, on-site problem handling, task tracking and alarm prompts, result feedback and task archiving, etc. The command and dispatch business process diagram is attached. Figure 3 .

[0024] Furthermore, the pollution weather warning command and dispatch task refers to connecting to the air quality warning and forecasting system. When it is predicted that there will be light pollution or above in the next three days, a pollution warning will be issued to the regional management department, and the local pollution emergency plan measures will be implemented, and the progress of the implementation of the measures will be reported in a timely manner. The pollution weather warning emergency response control process is attached. Figure 4 , mainly including air quality forecast and warning, exceeding standard alarm, emergency response reminder, emergency response management and control, etc.

[0025] Furthermore, the atmospheric pollution potential comprehensive analysis and decision-making system based on WebGIS maps uses the system WebGIS map tools to display customized combinations of different layer units according to management roles and business needs, such as monitoring site layers, pollution source layers, monitoring and supervision layers, and meteorological conditions layers.

[0026] Monitoring station layer: including national control stations, provincial control stations, municipal control stations, district and county stations, township stations, super stations, roadside air stations, micro stations, atmospheric monitoring air grids and other sub-layers.

[0027] Pollution source layer: including sub-layers such as industrial sources, dust sources, mobile sources, gas stations, auto repair and catering.

[0028] Monitoring and supervision layer: including high-altitude video of national control sites, straw burning monitoring video, construction site video monitoring, garbage truck positioning supervision, black smoke vehicle supervision, large enterprise vehicle user supervision, industrial flue gas online monitoring, industrial electricity online monitoring, enterprise working condition online monitoring and other sub-layers.

[0029] Meteorological conditions layer: includes wind speed, air pressure, humidity, temperature and wind field sub-layers.

[0030] Furthermore, the WebGIS map-based atmospheric pollution potential comprehensive analysis and decision-making system uses the system's WebGIS map tools to customize regional information on the target layer according to business needs to achieve thermal analysis, aggregation analysis and statistical analysis functions.

[0031] Thermal analysis: The pollutant concentration at the monitoring point, the emission concentration of the pollution source, the area of ​​the muck truck, etc. can be displayed intuitively through the thermal map.

[0032] Aggregation analysis: It can realize the intuitive expression of the distribution of pollution sources, monitoring points, etc. through aggregation analysis.

[0033] Statistical analysis: It can realize the type and quantity statistical analysis of pollution sources and monitoring point information in the custom area. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 The framework diagram of the atmospheric pollution potential comprehensive analysis system based on WebGIS map of the present invention is

[0035] Figure 2 This is a decision analysis business flow chart of the atmospheric pollution potential comprehensive analysis system based on WebGIS map of the present invention

[0036] Figure 3 This is a command and dispatch business flow chart of the WebGIS map-based atmospheric pollution potential comprehensive analysis system of the present invention.

[0037] Figure 4 This is a flow chart of the pollution weather warning emergency response control of the atmospheric pollution potential comprehensive analysis system based on WebGIS map of the present invention DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] Embodiment 1:

[0040] In this embodiment, a picture of the "daily control" topic is used to illustrate the function of customizing overlay layers according to business topics of the present invention. According to the analysis of daily control business needs, daily control content involves demand modules such as monitoring sites, pollution sources, and pollution source analysis and judgment.

[0041] Among them, the monitoring site layer includes sub-layers such as national control stations, provincial control stations, municipal control stations, district and county stations, township stations, super stations, roadside air stations, micro stations, and atmospheric monitoring air grids; the pollution source layer includes sub-layers such as industrial sources, dust sources, mobile sources, gas stations, auto repair and catering; the pollution source analysis and judgment layer includes sub-layers such as radar scanning, cruise monitoring, and atmospheric super monitoring stations. Users can customize and combine various types of layers according to the daily management and control needs of their respective responsibilities to build customized thematic scenes.

[0042] Embodiment 2:

[0043] This embodiment illustrates the decomposition task of air quality compliance monitoring in one graph of comprehensive decision-making and command and dispatch according to the present invention.

[0044] Preferably, the air quality compliance monitoring and decomposition task uses conventional monitoring data, meteorological data and other data for comprehensive analysis, combined with big data, deep mining and other technologies, to achieve real-time dynamic monitoring of the gap between the current air quality status and the standard, calculate the possibility of compliance for the day, month and year, dynamically decompose the emission reduction target, and provide pollution cause analysis and corresponding control recommendations, to assist environmental management departments in providing a scientific basis for dynamic decision-making to achieve air quality compliance.

[0045] Target setting, breakdown and adjustment

[0046] Fill in your annual goals, summer goals, or fall and winter goals into the system. Goals generally include and Target concentration, number of days with good quality, etc.

[0047] The target can be decomposed automatically and manually:

[0048] Automatic decomposition. Select a region (city, district or county) and decompose the annual target into monthly targets based on the monthly average of the previous three years, the year-on-year improvement rate of the previous three years and the annual target improvement rate;

[0049] Manual decomposition. Based on the automatically decomposed monthly target, users can decompose and adjust the monthly target according to the annual breakthrough plan. The system automatically checks whether the manually decomposed and adjusted target can meet the annual target. If it does, the user confirms and saves it to form the monthly target. The results of the target decomposition can be exported and printed.

[0050] The target can be adjusted automatically and manually:

[0051] Automatic adjustment. At the beginning of each month, the system background will dynamically adjust the subsequent monthly goals based on the actual completion of the previous month and the relevance of the subsequent months adjusted manually. The monthly goals after automatic adjustment are displayed. If the user agrees, click Save to form the subsequent monthly goals. If you click Manual Adjustment, go to the next step;

[0052] Manual adjustment. Select a region (city, district or county) and based on the automatically adjusted monthly target, allow users to adjust the monthly target according to actual conditions. The system automatically checks whether the manually adjusted target can meet the annual target. The results of the target adjustment can be exported and printed.

[0053] Dynamic monitoring of compliance

[0054] Dynamic monitoring of compliance mainly compares the goals and actual implementation of cities / districts and counties, analyzes the gaps, identifies disadvantageous indicators, and provides data support for environmental management personnel to set goals and make decisions in the next step. It calculates and displays the gap between the city and county air quality compliance, key pollution factors, and the gap between the number of good days and the target requirements in real time, and compiles statistics on compliance in historical time periods, and issues dynamic reminders of exceeding standards.

[0055] Achievement Calculator

[0056] The compliance estimator mainly decomposes the goals set by cities / districts and counties on a monthly and daily basis. The indicators after decomposition can be customized to set goals that meet the actual situation of the city. The system calculates the cumulative value of pollutants in the target process in real time, and dynamically calculates the predicted results of future pollutant concentrations within the target time range based on the air quality improvement rate in the past period and the previous three years. It also intelligently analyzes the possibility of compliance based on the predicted results, and realizes the calculation of pollutant concentrations for the day, month, season, and year (half a year), and the calculation of provincial and municipal regional rankings. It analyzes the possibility of compliance in the target area within the specified time, and conducts compliance gap analysis.

[0057] Embodiment three:

[0058] This embodiment illustrates the dynamic alarm implementation scheduling task in a comprehensive decision-making and command and dispatch diagram of the present invention.

[0059] Preferably, the dynamic alarm implementation scheduling task includes two types: single alarm and associated alarm.

[0060] Single Alarm

[0061] A single alarm is a real-time alarm when an air quality monitoring point or a single monitoring point of a pollution source exceeds a threshold (which can be set). The specific single alarm types are as follows:

[0062] Table 1 Single alarm types and descriptions

[0063] Related alarms

[0064] Utilize multi-source data for data extraction, association, heterogeneity, mining and expression, conduct in-depth mining and analysis of the phenomena of enterprise exceeding standards, missing data and data anomalies found by the monitoring and surveillance system, conduct multi-factor linkage analysis of exceeding standards, missing data and abnormal data by calling other related monitoring means or automatically triggering video capture, analyze the reasons for exceeding standards and the actual operation of pollution control facilities during the period of missing data, and automatically generate vouchers based on the analysis results to provide on-site inspection basis for law enforcement departments. Realize the spatiotemporal and causal linkage services and release of various environmental indicator data (environmental quality, pollution sources, etc.) in the local and surrounding areas.

[0065] Preferably, the dynamic alarm implements the scheduling task, sets the alarm rules and alarm handling. The definition of alarm rules refers to the hierarchical management of alarms according to their importance. Alarms of higher levels need to be manually handled by the relevant person in charge, and alarms of lower levels are automatically handled by the system. The handling process can be flexibly configured for each type of alarm. The handler can handle the alarm according to the handling process and handling opinions, or automatically handle it through the system preset handling process. The person in charge of alarm handling is initialized, and the alarm is automatically pushed to the relevant person in charge according to the authority and responsibility of alarm handling. Alarm handling means that after the system automatically generates an alarm, it automatically retrieves relevant information such as enterprise information, video surveillance snapshots, data curves, etc. for analysis, makes a preliminary cause judgment, gives handling opinions, notifies the responsible person to handle on-site, and feedbacks the handling situation after the handling is completed.

[0066] Embodiment 4:

[0067] The present invention integrates decision-making and command and dispatch in one picture for daily dispatch and command tasks.

[0068] Preferably, the daily command and dispatch tasks include abnormality discovery, task generation, analysis and judgment, task review, instruction issuance and receipt, on-site problem handling, task tracking and alarm prompts, result feedback and task archiving, etc. The command and dispatch business process diagram is attached. Figure 3 .

[0069] Detection of abnormalities and generation of tasks: When the monitoring platform detects abnormalities in the power monitoring system or a polluted weather warning, it initiates command and dispatch. When the monitoring platform detects abnormal conditions, the command and dispatch platform initiates dispatch matters. The dispatch content can be divided according to the monitoring category, and can be queried according to the abnormal level, discovery time, abnormal area, etc.

[0070] Analysis and judgment: It supports docking with massive business data of the monitoring platform, provides statistical charts, distribution charts, relationship charts, spatial statistical charts, spatial distribution charts, spatial relationship charts and other data visual analysis charts, conducts multi-dimensional analysis and judgment, and supports combined data analysis for comprehensive display, realizes parallel monitoring and analysis of multi-indicator data, and provides comprehensive data support for managers' decision-making and judgment.

[0071] Task review: Conduct preliminary screening of the generated specific tasks and analysis and judgment, submit the screening results of key matters to the leader for approval, and enter the leader's instructions into the system.

[0072] Issuance and receipt of instructions: Based on the anomalies found by the monitoring platform, a command and dispatch list is formed. Based on the preset response level of the command and dispatch problem, the system can judge and issue instructions or report to the leader for approval. The details are as follows: a command and dispatch list is formed, and the dispatch content can be manually modified; disposal suggestions are automatically generated intelligently; the system automatically dispatches tasks or leaders sign according to preset rules, and sends specific tasks that have been reviewed and approved to the relevant responsible units for execution. Front-end personnel receive instructions. The command and dispatch platform instructions can be notified to the law enforcement squadron and relevant personnel through the following methods: platform message center; atmospheric environment grid management APP; SMS / WeChat.

[0073] On-site problem handling: Law enforcement officers can provide timely feedback on handling results at the scene, and support the collection and entry of text, audio, and video information.

[0074] Task tracking and alarm prompts: After the task is distributed, the person in charge of coordination and command can use the task tracking function to dynamically track the execution of the task, check the currently executed tasks and related information, grasp the latest task dynamics, and provide a basis for subsequent task generation and decision-making. When the time for a task to reach a certain node exceeds the required completion time limit and is still not completed, the system automatically issues an alarm to remind the task executor to handle the task, and at the same time notify the task initiator to urge the task to be completed.

[0075] Result feedback: Feedback the results, archive or transfer to subsequent disposal, and collect the subsequent disposal results as much as possible. You can set a feedback time limit for problem disposal, continuously track and remind; you can review and correct the feedback results; and review the archived files and documents of the problem.

[0076] Task archiving: Following the principle of full-process management of electronic tasks and integrated document management, a task archive is provided to organize, collect, archive, and store electronic tasks, and provide operation logs for task archives. Automatic archiving can be achieved after the task is completed. Users can query and retrieve historical tasks according to task type, task initiator, task time, etc.

[0077] Embodiment five:

[0078] The present invention provides comprehensive decision-making and command and dispatch in one graph to realize pollution day early warning command and dispatch tasks.

[0079] Preferably, the pollution weather warning command and dispatch task refers to connecting to the air quality warning and forecasting system. When it is predicted that there will be light pollution or above in the next three days, a pollution warning will be issued to the regional management department, and the local pollution emergency plan measures will be implemented, and the progress of the implementation of the measures will be reported in a timely manner. See the attached Polluted Weather Warning Emergency Response Management Process Figure 4 , mainly including air quality forecast and warning, exceeding standard alarm, emergency response reminder, emergency response management and control, etc.

[0080] Air quality forecast and warning: By connecting with the data of the air quality warning and forecast system, an air quality warning and forecast interface is established to enable managers to visualize and analyze the warning data. The display forms include future air quality forecast results and the changing trend of AQI values.

[0081] Exceeding standard alarm: set alarm conditions for the monitoring values ​​of the automatic air station. When the alarm conditions are reached, the current manager will be reminded, and the manager will set the exceeding standard processing task, and the implementer will upload the processing progress and results, etc. Establish a joint defense early warning mechanism with surrounding areas, share the air monitoring station data to set alarm conditions, and when the data exceeds the standard, the joint defense city will be warned of exceeding the standard.

[0082] Emergency response reminder: When the early warning forecast data shows that a certain area will experience light pollution or above in the next seven days, a pop-up window will pop up on the system interface of the regional environmental manager and a text message will be sent to remind the manager that pollution may occur in the future and to activate the corresponding level of emergency response plan. In the air quality database, if the monitoring data of a certain area shows light pollution for two consecutive days or moderate pollution or above (the conditions can be customized), the pollution prevention and control reminders will be issued to managers from bottom to top in the area through the system interface and text messages until the pollution conditions are lifted.

[0083] (4) Emergency response control: With the air quality of the next seven days as the goal, the conditions for starting emergency response plans of different levels are set through the results of air quality warning and forecast data. When a region starts an emergency response plan, the system establishes an emergency control process log for the corresponding area, and local managers begin to implement the control requirements of the corresponding process and fill in the process log in a timely manner, so that the standardization of each link such as control, registration, and execution is improved, and the rules are unified, the work is standardized, the implementation process is standardized, and the important nodes are controllable, further improving the scientific planning, objective and fair, accurate and effective pollution prevention and control operations, and greatly improving the control quality and management level. The management personnel fill in the name of the controlled pollution source, the controller, the control implementation progress and effect, and upload the control materials until the response is completed, and the system evaluates the effect of the entire control process based on the control effect.

Claims

1. A WebGIS map-based atmospheric pollution potential comprehensive analysis and decision-making system, characterized in that: It includes the atmospheric environment data resource center, one map for analyzing the current status of the atmospheric environment, one map for analyzing the potential of atmospheric pollution, one map for auxiliary supervision of precise pollution control of the atmospheric environment, and one map for comprehensive decision-making and command and dispatch. The four types of "one map" are integrated with the atmospheric environment data resource center to realize the intuitive and clear display of the geographic visualization information and comprehensive analysis information of each thematic "one map" on one interface.

2. The atmospheric environment data resource center, with atmospheric environment management data as the core, collects various environmental data to form a basic database, conducts in-depth mining and analysis of the basic database data, establishes a scientific, efficient and practical atmospheric environment business subject analysis database, and builds an advanced and intuitive comprehensive analysis and decision-making system; The atmospheric environment status analysis map is constructed based on WebGIS map to reflect the atmospheric environment quality status, pollution sources, environmental monitoring, and key tasks, and has a goal-oriented decision-making service function; The atmospheric pollution potential analysis map is constructed based on WebGIS map to reflect the dynamic tracing of atmospheric pollution, transmission process analysis, data feature analysis, atmospheric monitoring point contribution analysis, and pollution source and monitoring data correlation analysis, and has the function of realizing pollutant source tracking and cause analysis; The one map for precise pollution control and auxiliary supervision of the atmospheric environment is constructed based on a WebGIS map to reflect the refined supervision of pollution sources such as industrial sources, mobile sources and dust sources; The comprehensive decision-making and command and dispatch map is professionally mapped based on WebGIS maps, on-site pictures, and multi-layer geographic information, providing a full-process visual command and dispatch of environmental problem event linkage analysis, task generation, leadership approval, task issuance, task handling, task tracking, and task feedback.

3. The WebGIS map-based atmospheric pollution potential comprehensive analysis and decision-making system according to claim 1 is characterized in that: The atmospheric environment data resource center includes the online environmental monitoring database, pollution source database, environmental basic geographic database, social economic database, environmental comprehensive business database, satellite image database, environmental model database and other databases; Among them, the environmental online monitoring database mainly includes air quality monitoring data, atmospheric super station monitoring data, particulate matter lidar monitoring data, atmospheric grid site monitoring data and meteorological monitoring data; the pollution source database mainly includes online monitoring data, environmental electricity supervision data, environmental statistical data, pollution source census data, pollutant discharge permit data, environmental impact assessment data, atmospheric pollution source emission inventory data, motor vehicle exhaust monitoring data, dust pollution information monitoring data, air-related multimedia information monitoring data and air-related enterprise "environmental protection code" data; the environmental basic geographic database mainly includes administrative divisions, river and lake distribution, population distribution, land use and road network basic geographic data; the environmental comprehensive business database mainly includes air quality target management theme database, air quality monitoring theme database, pollution source emission theme database, emergency plan management theme database, atmospheric supervision theme database, etc.

4. The WebGIS map-based atmospheric pollution potential comprehensive analysis and decision-making system according to claim 1 is characterized in that: The atmospheric environment status analysis map is based on GIS maps and uses visualization analysis methods to integrate information resource integration, visualization analysis display and decision-making. It focuses on in-depth and effective air pollution prevention and control battles and various special operations, and constructs an atmospheric environment map that reflects the atmospheric environment quality status, pollution sources, environmental monitoring, and key tasks. It has a goal-oriented decision-making service function, and provides intuitive and convenient dynamic air quality status analysis topics, air quality prediction and forecast topics, atmospheric pollution source status topics, atmospheric environment status analysis report management, etc.

5. The WebGIS map-based atmospheric pollution potential comprehensive analysis and decision-making system according to claim 1 is characterized in that: The one-picture atmospheric pollution potential assessment and analysis is a one-picture atmospheric pollution potential assessment and analysis map that reflects the dynamic tracing of atmospheric pollution, transmission process analysis, data feature analysis, atmospheric monitoring point contribution analysis, and correlation analysis between pollution sources and monitoring data. It has the functions of pollutant source tracking and cause analysis, and provides intuitive and convenient atmospheric pollution process analysis reports, pollution source comprehensive analysis reports, and pollution potential assessment and analysis reports.

6. The WebGIS map-based atmospheric pollution potential comprehensive analysis and decision-making system according to claim 1 is characterized in that: The above-mentioned "One Map for Precise Pollution Control and Auxiliary Supervision of the Atmospheric Environment" is a map for precise pollution control and auxiliary supervision of the atmospheric environment, which is constructed to reflect the refined supervision of pollution sources such as industrial sources, mobile sources and dust sources, and realizes the comprehensive perception and real-time monitoring capabilities of multiple environmental factors and various pollution sources, while realizing accurate analysis of the atmospheric environmental quality status, tracking and prevention of environmental pollution, and prediction and assessment of development trends.

7. The WebGIS map-based atmospheric pollution potential comprehensive analysis and decision-making system according to claim 1 is characterized in that: The comprehensive decision-making and command and dispatch map is based on professional mapping of on-site pictures and multi-layer geographic information, providing a full-process visual command and dispatch of environmental problem events, including linkage analysis, task generation, leadership approval, task issuance, task handling, task tracking and task feedback, to achieve unified dispatch and result feedback for all environmental problems, and present them uniformly in one map. Task types include air quality compliance monitoring and decomposition tasks, dynamic alarm implementation and dispatch tasks, daily command and dispatch tasks, pollution day warning command and dispatch tasks, etc.

8. The WebGIS map-based atmospheric pollution potential comprehensive analysis and decision-making system according to claim 1 is characterized in that: The four types of thematic maps, namely, one map for analysis of the current status of the atmospheric environment, one map for analysis of the potential for atmospheric pollution, one map for auxiliary supervision of precise pollution control of the atmospheric environment, and one map for comprehensive decision-making and command and dispatch, can be used with the system's WebGIS map tools to display customized combinations of different layer units according to management roles and business needs, such as monitoring site layers, pollution source layers, monitoring and supervision layers, and meteorological conditions layers.

9. The WebGIS map-based atmospheric pollution potential comprehensive analysis and decision-making system according to claim 1 is characterized in that: By using the system's WebGIS map tools, you can customize regional information on the target layer according to business needs to implement thermal analysis, aggregation analysis, and statistical analysis functions.

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