CN111241166A - High-precision online monitoring and analyzing system for atmospheric pollution source - Google Patents
High-precision online monitoring and analyzing system for atmospheric pollution source Download PDFInfo
- Publication number
- CN111241166A CN111241166A CN202010158126.7A CN202010158126A CN111241166A CN 111241166 A CN111241166 A CN 111241166A CN 202010158126 A CN202010158126 A CN 202010158126A CN 111241166 A CN111241166 A CN 111241166A
- Authority
- CN
- China
- Prior art keywords
- data
- layer
- monitoring
- pollution source
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/256—Integrating or interfacing systems involving database management systems in federated or virtual databases
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Probability & Statistics with Applications (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
Abstract
The invention relates to a high-precision online monitoring and analyzing system for an atmospheric pollution source, which comprises a presentation layer (1), an application layer (2), a data resource layer (3) and a perception layer (4); the presentation layer (1) comprises a large screen, a PC (personal computer) end and a mobile APP (application); the application layer (2) comprises a data application module, a pollution cause analysis module, a grid management module, an operation and maintenance management module and an analysis report module; the data resource layer (3) comprises meteorological data, site monitoring data, satellite remote sensing data, national control data, pollution source data and a monitoring equipment database; the sensing layer (4) comprises a reference station, a stationing micro-station and a laser radar. The invention relates to a high-precision online monitoring and analyzing system for an atmospheric pollution source, which has the advantages of large coverage area and high monitoring density and realizes dynamic monitoring and analysis of the pollution source.
Description
Technical Field
The invention relates to a high-precision online monitoring and analyzing system for an atmospheric pollution source.
Background
With the rapid development of society and economy, the problem of air pollution is more and more concerned by people. In order to meet the understanding of people on the atmospheric pollution state, software developers develop various application software for inquiring the atmospheric pollution state, so that people can acquire the atmospheric pollution state information acquired by an environmental protection department through various ground monitoring sites through the inquiry of the application software.
The method for monitoring urban atmospheric pollution mainly comprises a traditional method and on-line monitoring, wherein the traditional method is a method for analyzing by a manual sampling laboratory, the method can only obtain a monitoring value within a certain period of time in an atmospheric pollution monitoring area, real-time monitoring cannot be carried out, and a monitoring result is greatly influenced by human; in addition, currently, the popular online monitoring is mainly carried out by adopting automatic atmospheric environment monitoring equipment imported from foreign countries, and although the monitoring method can realize real-time monitoring, the used equipment has the advantages of complex structure, high price, difficult maintenance, high operation cost and harsh working environment; in addition, the current automatic weather stations for national control, provincial control and rural air are not completely covered, so that the monitoring data is incomplete, and the monitoring result has large deviation, so that the accuracy of the atmospheric pollution state information acquired by the user through application software is low.
Disclosure of Invention
The invention aims to overcome the defects and provide a high-precision online monitoring and analyzing system for the atmospheric pollution source, which has the advantages of large coverage area, high monitoring density and capability of realizing dynamic monitoring and analysis of the pollution source.
The purpose of the invention is realized as follows:
a high-precision online monitoring and analyzing system for atmospheric pollution sources comprises a presentation layer, an application layer, a data resource layer and a sensing layer; the presentation layer comprises a large screen, a PC (personal computer) end and a mobile APP (application); the application layer comprises a data application module, a pollution cause analysis module, a grid management module, an operation and maintenance management module and an analysis report module; the data resource layer comprises meteorological data, site monitoring data, satellite remote sensing data, national control data, pollution source data and a monitoring equipment database; the sensing layer comprises a reference station, a stationing micro-station and a laser radar.
According to the high-precision online monitoring and analyzing system for the atmospheric pollution source, the meteorological data, the site monitoring data, the satellite remote sensing data and the state control data are shared and exchanged with the pollution source data and the monitoring equipment database through the big data center.
The invention relates to a high-precision online monitoring and analyzing system for an atmospheric pollution source.
The high-precision online monitoring and analyzing system for the atmospheric pollution source has the following advantages:
the high-precision online monitoring and analyzing system for the atmospheric pollution source comprises a presentation layer, an application layer, a data resource layer and a perception layer, wherein the presentation layer can be presented in various forms to meet the requirements of customers; the sensing layer adopts grid air monitoring equipment to fill the urban area range which is not covered by the original national control, provincial control and village and town air automatic stations; the air monitoring density is increased, dynamic monitoring and analysis of the pollution source are realized, the accurate positioning capability of the emission of the air pollution source is enhanced, the fine management level of the atmospheric environment is improved, and the accuracy of the information of the atmospheric pollution state is improved.
Drawings
FIG. 1 is a schematic diagram of the high-precision online monitoring and analyzing system for atmospheric pollution sources.
FIG. 2 is a flow chart of the high-precision online monitoring and analyzing system for atmospheric pollution sources.
In the figure: a presentation layer 1, an application layer 2, a data resource layer 3 and a perception layer 4.
Detailed Description
Referring to fig. 1 to 2, the invention relates to a high-precision online monitoring and analyzing system for atmospheric pollution sources, which comprises a presentation layer 1, an application layer 2, a data resource layer 3 and a sensing layer 4; the presentation layer 1 comprises a large screen, a PC terminal and a mobile APP.
The application layer 2 comprises a data application module, a pollution cause analysis module, a grid management module, an operation and maintenance management module and an analysis report module; the data application module can be used for butt-joint displaying of real-time monitoring data, video monitoring, pollution condition understanding at the first time, data overview effect realization, air quality analysis and other chart comparison analysis by using a GIS map technology, and regional pollution difference and characteristics understanding; the pollution cause analysis module analyzes the pollution process, timely studies and judges the over-standard pollution propagation direction and process, knows the pollution diffusion degree and range, finds the pollution propagation source through the national control point over-standard traceability model algorithm and the site influence relationship, and comprehensively utilizes the pollution rose diagram and GIS map technology to master the geographical space distribution characteristics in the regional pollution period and the rule influenced by the wind direction and wind speed; the grid management module maintains basic information of grid accountant and related sites, provides pollution event reporting and reporting record query analysis services, and performs alarm notification on grid pollution problems; the operation and maintenance management module is flexibly configured with operation and maintenance task workflows, including planning tasks, temporary operation and maintenance task flow chart setting, algorithm automatic calibration is combined, and fine management of services such as regular and irregular quality control inspection, calibration, routine, fault maintenance and the like is carried out; the analysis report module automatically issues service reports such as air quality analysis daily, weekly, ten-day, monthly, quarterly and annual reports, pollution process analysis reports and national control point standard exceeding traceability analysis reports, and users can edit the reports on line according to self service requirements.
The data resource layer 3 comprises meteorological data, site monitoring data, satellite remote sensing data, state control data, pollution source data and a monitoring device database, the meteorological data, the site monitoring data, the satellite remote sensing data and the state control data are shared and exchanged with the pollution source data and the monitoring device database through a big data center, and the data resource layer 3 is used for uniformly classifying and storing access data and facilitating platform calling.
The sensing layer 4 comprises a reference station, a stationing micro-station and a laser radar; the distribution micro-station adopts a gridding air monitoring device and adopts a light scattering, electrochemical or photoion sensor detection method to measure SO2、NO2、O3One or more of the parameters such as CO, PM10, PM2.5, TVOC and the like, and meteorological parameters such as temperature, humidity, air pressure, wind speed, wind direction and the like are selected and matched, so that the device has the characteristics of small volume, no maintenance, easiness in installation, low cost and the like, and is suitable for large-area fine distribution.
Claims (3)
1. The utility model provides a high accuracy atmospheric pollution source on-line monitoring analytic system which characterized in that: comprises a presentation layer (1), an application layer (2), a data resource layer (3) and a perception layer (4); the presentation layer (1) comprises a large screen, a PC (personal computer) end and a mobile APP (application); the application layer (2) comprises a data application module, a pollution cause analysis module, a grid management module, an operation and maintenance management module and an analysis report module; the data resource layer (3) comprises meteorological data, site monitoring data, satellite remote sensing data, national control data, pollution source data and a monitoring equipment database; the sensing layer (4) comprises a reference station, a stationing micro-station and a laser radar.
2. The high-precision online monitoring and analyzing system for the atmospheric pollution source as recited in claim 1, wherein: and the meteorological data, the site monitoring data, the satellite remote sensing data and the state control data are shared and exchanged with the pollution source data and the monitoring equipment database through a big data center.
3. The high-precision online monitoring and analyzing system for the atmospheric pollution source as recited in claim 1, wherein: and the stationing micro-station adopts gridding air monitoring equipment.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010158126.7A CN111241166A (en) | 2020-03-09 | 2020-03-09 | High-precision online monitoring and analyzing system for atmospheric pollution source |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010158126.7A CN111241166A (en) | 2020-03-09 | 2020-03-09 | High-precision online monitoring and analyzing system for atmospheric pollution source |
Publications (1)
Publication Number | Publication Date |
---|---|
CN111241166A true CN111241166A (en) | 2020-06-05 |
Family
ID=70878528
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010158126.7A Withdrawn CN111241166A (en) | 2020-03-09 | 2020-03-09 | High-precision online monitoring and analyzing system for atmospheric pollution source |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111241166A (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113252851A (en) * | 2021-05-19 | 2021-08-13 | 安徽理工大学环境友好材料与职业健康研究院(芜湖) | Atmospheric pollution monitoring system based on NB-IoT and edge calculation |
CN113901350A (en) * | 2021-12-10 | 2022-01-07 | 西安中电环通数字科技有限公司 | Pollution source wall map scheduling system and terminal |
CN114155129A (en) * | 2021-11-29 | 2022-03-08 | 中科三清科技有限公司 | Atmospheric environment traceability method and system based on industrial park |
CN115879595A (en) * | 2022-09-13 | 2023-03-31 | 重庆市生态环境大数据应用中心 | Construction method of urban atmospheric pollution gridding platform |
CN116070500A (en) * | 2022-08-03 | 2023-05-05 | 中国环境科学研究院 | Air mass concentration field simulation simulator based on deep learning |
-
2020
- 2020-03-09 CN CN202010158126.7A patent/CN111241166A/en not_active Withdrawn
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113252851A (en) * | 2021-05-19 | 2021-08-13 | 安徽理工大学环境友好材料与职业健康研究院(芜湖) | Atmospheric pollution monitoring system based on NB-IoT and edge calculation |
CN114155129A (en) * | 2021-11-29 | 2022-03-08 | 中科三清科技有限公司 | Atmospheric environment traceability method and system based on industrial park |
CN114155129B (en) * | 2021-11-29 | 2023-08-29 | 中科三清科技有限公司 | Atmospheric environment tracing and evaluating method and system based on industrial park |
CN113901350A (en) * | 2021-12-10 | 2022-01-07 | 西安中电环通数字科技有限公司 | Pollution source wall map scheduling system and terminal |
CN116070500A (en) * | 2022-08-03 | 2023-05-05 | 中国环境科学研究院 | Air mass concentration field simulation simulator based on deep learning |
CN116070500B (en) * | 2022-08-03 | 2023-11-28 | 中国环境科学研究院 | Air mass concentration field simulation simulator based on deep learning |
CN115879595A (en) * | 2022-09-13 | 2023-03-31 | 重庆市生态环境大数据应用中心 | Construction method of urban atmospheric pollution gridding platform |
CN115879595B (en) * | 2022-09-13 | 2023-10-24 | 重庆市生态环境大数据应用中心 | Construction method of urban air pollution gridding platform |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111241166A (en) | High-precision online monitoring and analyzing system for atmospheric pollution source | |
Munir et al. | Analysing the performance of low-cost air quality sensors, their drivers, relative benefits and calibration in cities—A case study in Sheffield | |
Shi et al. | Investigating the influence of urban land use and landscape pattern on PM2. 5 spatial variation using mobile monitoring and WUDAPT | |
CN109522603B (en) | Vehicle-mounted Lagrange real-time atmospheric pollution source tracing system and method based on cloud platform | |
Liu et al. | Spatiotemporal variability of NO 2 and PM 2.5 over Eastern China: observational and model analyses with a novel statistical method | |
CN112418609A (en) | Surface-grid-point-based accurate tracing method for secondary atmospheric pollution | |
CN114371260A (en) | Gridding monitoring, diffusion early warning and tracing method for non-organized VOCs of industrial enterprise | |
Riley et al. | Air quality monitoring in NSW: From long term trend monitoring to integrated urban services | |
CN110428104A (en) | A kind of genes' contamination ratio determines method, apparatus, electronic equipment and storage medium | |
CN106841525A (en) | A kind of method that Industrial Area Atmospheric feature pollution online monitoring system builds | |
CN109764795A (en) | High-speed railway track plate arch automatic monitoring system based on NB-iot | |
Frederickson et al. | Are dense networks of low-cost nodes really useful for monitoring air pollution? A case study in Staffordshire | |
Zhang et al. | Distribution patterns and influencing factors of population exposure risk to particulate matters based on cell phone signaling data | |
Hassani et al. | Citizen-operated mobile low-cost sensors for urban PM2. 5 monitoring: field calibration, uncertainty estimation, and application | |
Bai et al. | A Geographic Information System (GIS)-based approach to adaptation to regional climate change: a case study of Okutama-machi, Tokyo, Japan | |
Ma et al. | Improving predictability of high-ozone episodes through dynamic boundary conditions, emission refresh and chemical data assimilation during the Long Island Sound Tropospheric Ozone Study (LISTOS) field campaign | |
CN211956469U (en) | High-precision online monitoring and analyzing system for atmospheric pollution source | |
Bao | Cloud connection oriented real‐time monitoring system for atmospheric particles | |
CN116980827A (en) | Atmospheric environment data monitoring system based on Internet of things | |
Li et al. | High-density volatile organic compound monitoring network for identifying pollution sources | |
Shaparev et al. | Web technologies for rapid assessment of pollution of the atmosphere of the industrial city | |
CN113988540A (en) | Atmospheric pollution trend analysis method based on GIS technology | |
CN108021115A (en) | A kind of coal-burning power plant's atmosphere pollution diffusion monitoring method and system | |
CN114235653A (en) | Atmospheric particulate pollutant space-time prediction cloud platform based on end cloud cooperation | |
CN114266128A (en) | Atmospheric environment assessment system and method based on cloud platform |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WW01 | Invention patent application withdrawn after publication | ||
WW01 | Invention patent application withdrawn after publication |
Application publication date: 20200605 |