System Introduction

By utilizing machine learning methods, big data, the Internet of Things, cloud computing, data visualization, and other technologies, we can perceive and dynamically monitor all environmental elements, pollution emission targets, and environmental risk points. It is an information resource service platform that serves the government, environmental protection units at all levels, and society, achieving unified management of various environmental data. The platform strengthens its environmental services and deep applications for one enterprise, one station, and one park, providing auxiliary support for environmental data analysis, environmental management decision-making, and deep data mining.

System framework

The platform includes data sources, data exchange, metadata management, information processing, data support center, application center, access control platform, etc.

Product Features

• Full process data monitoring:

Relying on massive data information, breaking down data barriers, achieving environmental protection "one map", eliminating information silos, and realizing comprehensive sharing, through technologies such as big data analysis, cloud computing, BI, ETL/OLAP, massive data collection and capture, cleaning and screening, processing, data modeling, and visualization display are achieved, realizing full process monitoring of data from source to end.

• Precise environmental supervision:

At present, the construction of online monitoring, mobile law enforcement, emergency command, data visualization, grid management, environmental capacity assessment, early warning prediction, decision analysis and other systems has been completed, providing grid management information service support for grid personnel at all levels, accessing various monitoring data, and achieving precise environmental supervision.

Intelligent patrol and law enforcement:

By utilizing techniques such as data mining, predictive models, and BP neural network models, we aim to enhance environmental emergency response capabilities, screen public opinion hotspots, predict potential illegal events, and implement targeted law enforcement. This will completely change the "sea of people tactics" law enforcement and supervision model, achieve "online thousand mile eye monitoring and offline grid personnel linkage", and realize intelligent patrol and law enforcement.

• Scientific decision analysis:

Using air quality numerical models (CMAQ, CAMx models) and the national HJ 2.3-2018 surface water algorithm model to calculate the water and gas environmental capacity, predict the trends of changes in atmosphere, water, solid hazardous waste, soil, ecology, etc., achieve environmental data warning, prediction, analysis and judgment functions, comprehensively improve the comprehensive management ability of ecological environment, and provide data support for environmental quality decision-making.

• Convenient public participation:

Strengthen communication between the government, enterprises, and the public, present a more timely and comprehensive picture of the current state of ecological environment quality to the public, provide one-stop services for enterprises, achieve "more data running, less people running errands", and provide information query, "one click complaint" and other functions for the public to improve the government's environmental information service capabilities and public awareness of participating in environmental protection.