Multi-system, multi-parameter, integrated, comprehensive early warning method and system for coal and rock dynamic disaster

Patent metadata

Field	Value
Publication number	US-11043101-B2
Application number	US-202016820751-A
Country	US
Kind code	B2
Filing date	Mar 17, 2020
Priority date	Oct 30, 2019
Publication date	Jun 22, 2021
Grant date	Jun 22, 2021

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.

First claim

The invention claimed is:

1. A multi-system, multi-parameter, integrated, comprehensive early warning method for a coal and rock dynamic disaster, comprising:
obtaining monitoring data from a plurality of monitoring systems for the coal rock dynamic disaster, and extracting multivariate characteristic parameters in each monitoring system based on the monitoring data, wherein the multivariate characteristic parameters reflect precursor information of the coal and rock dynamic disaster;
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 based on the combination of the characteristic parameters with the highest early warning effectiveness in each monitoring system and the optimal critical value of each characteristic parameter; 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.

2. The multi-system, multi-parameter, integrated, comprehensive early warning method for the coal and rock dynamic disaster according to claim 1 , wherein after calculating the multi-system comprehensive early warning result of the coal and rock dynamic disaster, the method further comprises:
comparing the multi-system comprehensive early warning result of the coal and rock dynamic disaster with a classification early warning evaluation criteria of coal and rock dynamic disasters to determine a risk level of the coal and rock dynamic disaster.

3. The multi-system, multi-parameter, integrated, comprehensive early warning method for the coal and rock dynamic disaster according to claim 1 , wherein the plurality of monitoring systems comprise on-line monitoring systems and portable monitoring systems, the on-line monitoring systems comprise a micro-seismic monitoring system, an earth sound monitoring system and a hydraulic support monitoring system.

4. The multi-system, multi-parameter, integrated, comprehensive early warning method for the coal and rock dynamic disaster according to claim 3 , wherein the monitoring data comprise continuous monitoring data collected by the on-line monitoring systems and discrete monitoring data collected by the portable monitoring systems.

5. The multi-system, multi-parameter, integrated, comprehensive early warning method for the coal and rock dynamic disaster according to claim 4 , wherein dimensions of the multivariate characteristic parameters comprise a time dimension, a space dimension and an intensity dimension;
the multivariate characteristic parameters in the micro-seismic monitoring system comprise:
a frequency, a frequency ratio and a frequency deviation, wherein the frequency, the frequency ratio and the frequency deviation reflect temporal order information;
a first dispersion, wherein the first dispersion reflects spatial information; and
micro-seismic energy, a micro-seismic energy deviation and a second dispersion, wherein the micro-seismic energy, the micro-seismic energy deviation and the second dispersion reflect intensity information;
the multivariate characteristic parameters in the earth sound monitoring system comprise:
earth sound energy, an earth sound energy deviation, an earth sound energy average value and a pulse factor, wherein the earth sound energy, the earth sound energy deviation, the earth sound energy average value and the pulse factor reflect the intensity information; and
a pulse, wherein the pulse reflects the temporal order information; and
the multivariate characteristic parameters in the hydraulic support monitoring system comprise:
a flicker interval risk degree, wherein the flicker interval risk degree reflects the temporal order information; and
a recording frequency and support pressure, wherein the recording frequency and the support pressure reflect the intensity information.

6. The multi-system, multi-parameter, integrated, comprehensive early warning method for the coal and rock dynamic disaster according to claim 5 , wherein the step of screening out the combination of the characteristic parameters with the highest early warning effectiveness in each monitoring system and the optimal critical value of each characteristic parameter comprises:
performing a pairwise combination on two of characteristic parameters belonging to different dimensions in a same monitoring system;
adopting a genetic algorithm to train and select a combination of characteristic parameters with a highest fitness value in each monitoring system, and calculating the optimal critical value of each characteristic parameter of the characteristic parameters with the highest fitness value; and
taking the combination of the characteristic parameters with the highest fitness value in each monitoring system as the combination of the characteristic parameters with the highest early warning effectiveness corresponding to each monitoring system.

7. The multi-system, multi-parameter, integrated, comprehensive early warning method for the coal and rock dynamic disaster according to claim 6 , wherein when the genetic algorithm is adopted to train and select the combination of the characteristic parameters with the highest fitness value in each monitoring system, first two groups of the combination of the characteristic parameters with the highest fitness value are selected in the micro-seismic monitoring system; and one group of the combination of the characteristic parameters with the highest fitness value corresponding to each sensor is selected in the earth sound monitoring system and the hydraulic support monitoring system.

8. The multi-system, multi-parameter, integrated, comprehensive early warning method for the coal and rock dynamic disaster according to claim 7 , wherein the step of calculating the comprehensive early warning index and the early warning effectiveness of each monitoring system based on the combination of the characteristic parameters with the highest early warning effectiveness in each monitoring system and the optimal critical value of each characteristic parameter comprises:
based on the combination of the characteristic parameters with the highest fitness value in each monitoring system and the optimal critical value of each characteristic parameter, calculating a single system early warning degree of each monitoring system according to the following formula:

W
i

=

{

0
,

a
i

<

V
1

&

b
i

<

V
2

Assignees

• Univ Beijing Science & Technology
• Zhong An Academy Of Safety Eng

Inventors

• He Xueqiu
• Song Dazhao
• He Shengquan
• Li Zhenlei
• Xue Yarong
• Wang Anhu
• Mu Hongwei

Classifications

• E21F17/18

  Special adaptations of signalling or alarm devices (for mine lifts B66B; gas-sensitive devices per se G01N) · CPC title

• G08B31/00

  Predictive alarm systems characterised by extrapolation or other computation using updated historic data · CPC title

• G08B21/10 Primary

  responsive to calamitous events, e.g. tornados or earthquakes · CPC title

• G01V1/288 Primary

  Event detection in seismic signals, e.g. microseismics (G01V1/36 takes precedence) · CPC title

• G06Q50/02

  Agriculture; Fishing; Forestry; Mining · CPC title