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:
Jun. 22, 2021

Filed:

Mar. 17, 2020
Applicants:

University of Science and Technology Beijing, Beijing, CN;

Zhong-an Academy of Safety Engineering, Beijing, CN;

Inventors:

Xueqiu He, Beijing, CN;

Dazhao Song, Beijing, CN;

Shengquan He, Beijing, CN;

Zhenlei Li, Beijing, CN;

Yarong Xue, Beijing, CN;

Anhu Wang, Beijing, CN;

Hongwei Mu, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G08B 21/10 (2006.01); G01V 1/28 (2006.01); E21F 17/18 (2006.01);
U.S. Cl.
CPC ...
G08B 21/10 (2013.01); E21F 17/18 (2013.01); G01V 1/288 (2013.01);
Abstract

A multi-system, multi-parameter, integrated, comprehensive early warning method for a coal and rock dynamic disaster includes: obtaining monitoring data of a plurality of monitoring systems for the coal rock dynamic disaster, and extracting multivariate characteristic parameters capable of reflecting precursor information of the coal and rock dynamic disaster in each monitoring system based on the monitoring data; screening out a combination of characteristic parameters with a highest early warning effectiveness in each monitoring system and an optimal critical value of each characteristic parameter based on the multivariate characteristic parameters; calculating a comprehensive early warning index and an early warning effectiveness of each monitoring system; and calculating a multi-system comprehensive early warning result of the coal and rock dynamic disaster based on the comprehensive early warning index and the early warning effectiveness of each monitoring system.


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