As the innovation and application of lidar in the field of environmental monitoring, the networking platform comprehensively utilizes advanced technologies such as the Internet of Things, big data, artificial intelligence, and data simulation, combined with meteorological technology and diversified air pollution traceability high-end monitoring equipment to build urban lidar Networking system. Horizontally expand the range of pollution emission traceability, vertically expand the detection height of the atmospheric environment, and use data information analysis to form an intelligent emergency management system integrating monitoring equipment systems, data processing systems, and command systems to achieve rapid, timely and accurate response to environmental emergencies To respond, provide powerful data support and management methods for precise prevention and control of air pollution, intelligent management and control, and scientific assessment, and comprehensively improve the modern monitoring capabilities of the ecological environment.
The platform provides an environmental management application platform for different management customers to create an "environmental brain" for intelligent decision-making. Through the presence of high-end atmospheric science and meteorological science talents and advanced and diversified air pollution traceability high-end monitoring equipment, carry out air pollution hotspot traceability, screening, analysis of pollution change characteristics, and realize high-end services of refined and scientific environmental management and control. Based on scientific analysis and judgment, the networking platform provides technical hands-on for pollution early warning, traceability, scientific emission reduction, and targeted governance, formulates regional operations plans, provides support for the construction of a modern environmental governance system, and ultimately effectively improves air quality.
- Analysis of pollution transport
- Atmospheric pollution early warning
- Analysis of causes of Pollution
- Air data monitoring
- Real-time reporting and Handling of pollution sources
- Real-time monitoring of air quality data
- Analysis of historical air pollution