A coal wall spalling grading early warning method based on coal wall energy index

By combining coal wall stress and strain factors, the energy distribution characteristics of the coal wall and the energy distribution characteristics of the failure critical point are constructed, which solves the problems of accuracy and applicability of coal wall spalling prediction in the existing technology and realizes accurate prediction under multiple geological conditions.

CN116593051BActive Publication Date: 2026-09-08INNER MONGOLIA UNIV OF SCI & TECH
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Patent Information

Application Number
CN202310512188.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-05-08
Publication Date
2026-09-08
Estimated Expiration
2043-05-08

AI Technical Summary

Technical Problem

Existing methods for predicting coal wall spalling in coal mines suffer from poor accuracy and limited applicability, making it difficult to effectively predict the risk of coal wall spalling under various geological conditions.

Method used

By combining the two factors of coal wall stress and coal wall strain, and constructing the current energy distribution characteristics of the coal wall and the energy distribution characteristics of the critical point of coal wall failure, a quantitative and graded early warning standard is established to predict coal wall spalling.

Benefits of technology

It enables accurate prediction of coal wall spalling under various geological conditions, has a wide range of applications, and provides accurate identification, thereby improving the predictive ability for safe coal mine production.

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Abstract

The application discloses a coal wall spalling grading early warning method based on a coal wall energy index, relates to the technical field of coal wall spalling early warning, and comprises the following steps: arranging a borehole stress meter on the surface of a coal wall to be measured, recording borehole stress change data, analyzing and processing the borehole stress change data, and obtaining a stress distribution state; arranging a displacement monitoring system in front of the coal wall to be measured, collecting coal wall displacement data, analyzing and processing the coal wall displacement data, and obtaining a coal wall displacement state; based on the stress distribution state and the coal wall displacement state, a current coal wall energy distribution characteristic is constructed; meanwhile, the energy distribution characteristic of a coal wall damage critical point is obtained according to actual sample parameters of the coal wall; and the current coal wall energy distribution characteristic is compared with the energy distribution characteristic of the coal wall damage critical point, so that the comparison result is taken as a spalling grading early warning result.
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