一种井下充填封存电厂烟气扩散范围的监测方法
By collecting and analyzing data on the diffusion characteristics of flue gas from underground power plants filled with wastewater, an optimized random forest model was established, enabling precise monitoring of the diffusion range of underground flue gas. This solved the problem of incomplete monitoring in existing technologies and improved the monitoring accuracy and adaptability of flue gas treatment effects.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA UNIV OF MINING & TECH
- Filing Date
- 2023-09-28
- Publication Date
- 2026-07-17
AI Technical Summary
Existing flue gas monitoring systems are unable to effectively monitor the spread of flue gas from underground filling and sealing power plants, resulting in incomplete and inaccurate monitoring.
A monitoring method for the diffusion range of flue gas from a power plant using underground filling and sealing was adopted. By collecting flue gas diffusion characteristic data, preprocessing and inversion analysis were performed to establish an optimized random forest model. The flue gas injection volume was monitored in real time and feedback was adjusted, including monitoring of flue gas component content, diffusion and migration, distribution of mineralized products and leakage paths.
It enables comprehensive and accurate monitoring of the downhole flue gas treatment effect, improves the monitoring accuracy and adaptability of the flue gas diffusion range, ensures that the flue gas injection volume is within the sealing capacity of the filling body, and reduces environmental pollution.
Smart Images
Figure CN117723104B_ABST