A multi-source data fusion inversion PM10 system
Through multi-source data fusion and machine model training, data conversion and filling from low resolution to high resolution were achieved, solving the problem of unbalanced PM10 monitoring capabilities. This enabled balanced development of PM10 monitoring capabilities and accurate monitoring of pollution distribution characteristics across the country, especially PM10 monitoring in remote areas.
Patent Information
- Application Number
- CN202310191072.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-02-24
- Publication Date
- 2026-09-08
- Estimated Expiration
- 2043-02-24
AI Technical Summary
In the current technology, the development of PM10 monitoring capabilities is uneven. Traditional ground monitoring stations cannot improve the scope of influence of monitoring station data, cannot obtain regional pollution distribution characteristics, and the monitoring equipment in the central and western regions is aging and the experimental conditions are rudimentary. The national monitoring system information construction lacks unified planning and data barriers have not been broken down.
Design a multi-source data fusion PM10 inversion system. Through multi-source data fusion unit and machine model training, realize the conversion and filling of low-resolution data to high-resolution data. Combined with the Kriging interpolation algorithm, use high-resolution data from monitoring stations to train the machine model and invert PM10 data of the target physical area.
It has achieved balanced development of PM10 monitoring capabilities across the country, enabling the monitoring of pollution distribution characteristics at both "point" and "area" levels, solving the monitoring difficulties in remote areas, and saving the cost of building ground monitoring stations.