A high outburst coal seam drilling interface outburst risk dynamic evaluation method and system
By integrating multi-source information and using a dynamic risk assessment model, the problems of limited information, crude data processing, and passive early warning response in the risk assessment of outbursts in high-risk coal seams have been solved. This has enabled real-time and accurate risk identification and early warning, improving the accuracy and reliability of risk assessment.
Patent Information
- Application Number
- CN202610122526.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-29
- Publication Date
- 2026-04-24
- Estimated Expiration
- 2046-01-29
AI Technical Summary
Existing technologies for assessing the risk of coal seam outbursts through boreholes suffer from problems such as limited information collection, crude data processing, limited assessment models, and passive early warning responses. These issues lead to blind spots in risk identification, delayed assessments, and misjudgments, making it impossible to achieve real-time and accurate risk prevention and control.
A multi-source information fusion method is adopted to collect drilling parameters, geological environment and acoustic emission signals in real time. Through data processing and feature extraction, a joint feature vector is generated to construct a dynamic risk assessment model that integrates physical mechanisms and data-driven approaches. Combined with a sliding time window mechanism, real-time risk assessment is achieved and graded early warning signals are output.
It enables real-time, accurate, and proactive assessment of outburst risks at borehole interfaces in high-risk coal seams, eliminating blind spots in risk identification, reducing early warning response delays, and improving the accuracy and reliability of risk assessment.