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Program overview

Refined supervision to effectively improve air quality

The atmospheric environment grid supervision solution uses fixed equipment monitoring, satellite remote sensing monitoring, lidar monitoring, navigation monitoring and other technical means to build an atmospheric environment monitoring network with wide coverage, focused focus and reasonable density, and obtain massive and accurate information. Air quality and meteorological monitoring data, based on the Internet of Things, cloud computing and big data analysis technology, build a new atmospheric environment supervision model of "end + cloud + service" to achieve real-time monitoring, dynamic early warning, rapid positioning, timely management, and big data Decision-making and other functions promote the transformation of air pollution prevention and control from experience-based, feeling-based, and extensive management to grid-based, real-time, and precise management, and provide users with multi-faceted services from monitoring systems, mobile applications to data analysis.

Program purpose

Multi-faceted monitoring

Build a "multi-faceted, multi-factor, multi-process, fully automatic" air quality monitoring network to control the air quality status, pollutant concentration distribution and changing trends in the monitoring area in real time.

Monitoring and early warning

24/7 real-time monitoring of dynamic changes in regional pollution sources, rapid capture of abnormal data, and prevention of illegal discharges by polluting companies.

Identify the problem

Based on big data algorithms and intelligent alarms, we can quickly locate areas where pollution incidents occur, deal with atmospheric environmental pollution problems in a timely manner, and improve supervision efficiency.

Analyze decisions

Use big data analysis technology to analyze air pollution characteristics, change patterns, pollution causes, etc., identify key pollution areas and sources of pollution, and provide technical support for management department supervision and decision-making.

Program Content

The atmospheric environment grid supervision solution adopts high-level monitoring technology and uses fixed equipment monitoring, satellite remote sensing monitoring, drone monitoring, lidar monitoring, navigation monitoring and other technical means to build a wide-coverage, focused, and The atmospheric environment monitoring network with reasonable density can obtain massive and accurate air quality and meteorological monitoring data. Based on the Internet of Things, cloud computing and big data analysis technology, a new atmospheric environment supervision model of "cloud + terminal + service" can be built to achieve real-time monitoring. , dynamic early warning, rapid positioning, timely management, big data decision-making and other functions to promote refined management and control of air pollution prevention and improve ambient air quality.

Program Features

Comprehensive, real-time and refined monitoring of air quality
Real-time understanding of the air quality status and changing trends in the monitored area, mastering the concentration and spatial distribution of various pollutants, reflecting pollution characteristics and problems, and achieving refined monitoring of air quality.
Effective linkage between environmental monitoring and environmental supervision
By grasping the air quality status, once a data abnormality occurs in the system, abnormal alarm information will be pushed to relevant personnel in a timely manner, pollution problems will be identified, polluted areas will be identified, and treatment measures will be taken quickly, opening up the channel for environmental monitoring and environmental supervision.
Decision support and targeted governance for environmental management
Through the analysis of pollution characteristics and patterns, pollution causes, etc., we can find pollution problems, locate pollution sources, and provide relevant management departments with targeted emission reduction strategies, management and control measures suggestions, etc., to achieve "targeted governance."
Improved economic and social benefits
Transform from passive supervision to active supervision, from manual supervision to automatic supervision, and from blind supervision to refined supervision, so as to improve supervision efficiency and reduce supervision costs. Deter and prevent enterprises from illegally discharging pollutants. By discovering pollution problems, people’s complaints can be resolved, conflicts can be resolved, and people’s satisfaction can be improved.

Typical Case

Jiangsu Province Project

In order to further improve the atmospheric environment monitoring network in Jiangsu Province and improve the efficiency of precise supervision in key polluted areas, Snow Dillon has built 3,042 grid monitoring points in 10 cities in Jiangsu Province, building a "multi-element, multi-coverage, all-weather, multi-process" network. "The ambient air quality monitoring system monitors urban ambient air quality conditions in real time, grasps pollutant concentration distribution, changing trends, causes of generation, dissipation processes, etc., and provides data support for the Jiangsu Provincial Environmental Management Department to achieve "precise policy implementation and scientific governance." , Improve the ability of refined management of ambient air.

Jiangsu Province Project

Changzhi City, Shanxi Province Project

Xuedilon designed the plan based on Changzhi City's geographical location, industrial distribution, road traffic, sensitive points, etc., and built 130 monitoring points in the main urban area of Changzhi City to monitor ambient air quality conditions in real time and provide scientific data analysis services. Timely discover pollution problems, conduct regular analysis of the pollution process, and provide targeted management and control suggestions for the environmental air quality supervision of the Changzhi Municipal Environmental Management Department.

Changzhi City, Shanxi Province Project

Project in Wuhan City, Hubei Province

In response to national and Hubei provincial policies, the "Purchasing Atmospheric Grid Monitoring Data Service" project carried out from 2018 to 2019 was implemented by our company. A total of 244 ambient air quality monitoring points were built to achieve accurate monitoring of pollution emissions in key areas. , Targeted governance, promote the transformation of air pollution prevention and control into grid-based, real-time and precise, provide strong data support for the government's scientific decision-making and precise departmental law enforcement, and effectively improve the city's level of "precision haze control and scientific pollution control".