A method and system for early warning of rockburst based on the microseismic energy-frequency ratio index
By using a method based on the microseismic energy-frequency ratio index, combined with frequency and energy indicators, a rockburst early warning model was constructed. This solved the problem that existing technologies struggle to accurately identify rockburst precursors from microseismic monitoring data, enabling dynamic and accurate early warning of rockbursts and improving the scientific rigor and reliability of coal mine safety production.
CN122286341APending Publication Date: 2026-06-26NORTH CHINA INSTITUTE OF SCIENCE & TECHNOLOGY (NATIONAL SAFETY TRAINING CENTER OF COAL MINES) +4
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NORTH CHINA INSTITUTE OF SCIENCE & TECHNOLOGY (NATIONAL SAFETY TRAINING CENTER OF COAL MINES)
- Filing Date
- 2026-03-16
- Publication Date
- 2026-06-26
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Figure CN122286341A_ABST
Abstract
This application relates to the field of coal mining technology and provides a method and system for early warning of rockbursts based on the microseismic energy-frequency ratio index. The method determines the energy-frequency ratio index of the target object based on its frequency and energy ratio indices. Furthermore, based on the determined baseline critical energy-frequency ratio index, the dynamic critical energy-frequency ratio index of the target object is determined using multiple linear regression analysis. Then, the rockburst hazard level of the target object is determined by the time period during which its energy-frequency ratio index is less than the dynamic critical energy-frequency ratio index, or by the area under the curves of the energy-frequency ratio index and the dynamic critical energy-frequency ratio index. In this way, the energy and frequency indices are coordinated and unified, and the energy-frequency ratio index is proposed as an early warning indicator for rockbursts. The rockburst hazard level is determined quantitatively using only the changing trend of microseismic data, achieving dynamic early warning of rockbursts.
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