The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 22, 2024

Filed:

Jan. 17, 2024
Applicants:

China University of Mining and Technology, Xuzhou, CN;

Xuzhou Hongyi Technology Development Co., Ltd., Xuzhou, CN;

Inventors:

Anye Cao, Xuzhou, CN;

Yaoqi Liu, Yulin, CN;

Xu Yang, Xuzhou, CN;

Qing Ge, Xuzhou, CN;

Linming Dou, Xuzhou, CN;

Siyuan Gong, Xuzhou, CN;

Zhifeng Ma, Xuzhou, CN;

Wu Cai, Xuzhou, CN;

Qiang Niu, Xuzhou, CN;

Changbin Wang, Xuzhou, CN;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01V 1/30 (2006.01); G01V 1/18 (2006.01); G01V 1/28 (2006.01); G01V 1/34 (2006.01);
U.S. Cl.
CPC ...
G01V 1/30 (2013.01); G01V 1/181 (2013.01); G01V 1/282 (2013.01); G01V 1/288 (2013.01); G01V 1/345 (2013.01); G01V 2210/66 (2013.01);
Abstract

An online stress monitoring system is used to obtain a stress distribution of each position, a geophone monitoring system is used to monitor high-frequency vibration signals produced by coal and rock fracture, a support resistance monitoring system is used to monitor working resistance of hydraulic supports in a working face, a well-ground joint microseismic system is used to monitor low-frequency vibration signals produced by the coal and rock fracture, and realize position of a microseismic source and inversion imaging of mining fractures, and an anchor stress monitoring system is used to monitor stress states of anchor bolts and cables. A data processing center is used to comprehensively process data obtained from the above five systems using an early warning model, thereby to obtain a prediction result of rock burst and determine whether to make early warning, thus workers can take timely measures according to the early warning situation.


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