HE event early warning method, device, equipment, medium and product

Through dynamic sliding time window and multi-dimensional feature analysis, combined with principal component analysis and fractal dimension method, a sliding window joint early warning model is constructed, which solves the problems of insufficient timeliness and precision of existing mine earthquake early warning methods, realizes real-time and accurate early warning of HE events, and improves the reliability of mine safety management.

CN120783501AActive Publication Date: 2025-10-14LIAONING UNIVERSITY +2
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Patent Information

Application Number
CN202511292881.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-11
Publication Date
2025-10-14
Estimated Expiration
2045-09-11

AI Technical Summary

Technical Problem

Existing mine earthquake early warning methods rely on static time windows and single indicator analysis, which are difficult to adapt to the dynamic characteristics of mine earthquake activities, resulting in insufficient warning timeliness and low spatial accuracy, and cannot meet the real-time and accuracy requirements of mine safety production.

Method used

Semivariogram is used to analyze the spatiotemporal correlation of mine earthquake data, and a dynamic sliding mechanism is constructed. Principal component analysis, kernel density estimation, and fractal dimension analysis are combined to extract the kernel density peak and fractal dimension index of microseismic events. A sliding window joint early warning model is constructed, and the early warning parameters are optimized through grid search to achieve real-time monitoring of HE events.

Benefits of technology

It significantly improves the accuracy and timeliness of early warning of HE events, and can dynamically monitor the spatiotemporal aggregation characteristics and changes in geometric complexity under complex geological conditions, reduce the false alarm rate, and improve the accuracy and response capability of predictions.

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Abstract

The invention discloses an HE event early warning method, device and equipment, a medium and a product, and relates to the field of mine earthquake early warning. The method comprises the following steps: analyzing space-time correlation of mine earthquake data energy by adopting a semi-variation function according to acquired mine earthquake monitoring data, and determining a historical data window; constructing a dynamic sliding mechanism; based on a dynamic sliding mechanism, adopting a principal component analysis method and a kernel density estimation method to extract a kernel density peak value of the micro-seismic event, and adopting a fractal dimension analysis method to determine a fractal dimension index so as to analyze and quantify the geometric complexity change condition and obtain a quantification result; based on a quantification result, optimizing early warning parameters by adopting grid search, and determining a sliding window joint early warning model; and monitoring a kernel density peak value and a fractal dimension index in real time by adopting a sliding window combined early warning model based on the optimized early warning parameters so as to realize early warning of the HE event. The invention aims to improve the accuracy and timeliness of HE event prediction.
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