CN110552740A - local progressive focusing type detection early warning method for coal rock dynamic disaster dangerous area - Google Patents
local progressive focusing type detection early warning method for coal rock dynamic disaster dangerous area Download PDFInfo
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- CN110552740A CN110552740A CN201910813907.2A CN201910813907A CN110552740A CN 110552740 A CN110552740 A CN 110552740A CN 201910813907 A CN201910813907 A CN 201910813907A CN 110552740 A CN110552740 A CN 110552740A
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- 238000000034 method Methods 0.000 title claims abstract description 51
- 239000003245 coal Substances 0.000 title claims abstract description 35
- 239000011435 rock Substances 0.000 title claims abstract description 34
- 238000001514 detection method Methods 0.000 title claims abstract description 24
- 230000000750 progressive effect Effects 0.000 title claims abstract description 20
- 238000012544 monitoring process Methods 0.000 claims abstract description 39
- 238000005516 engineering process Methods 0.000 claims abstract description 25
- 230000005670 electromagnetic radiation Effects 0.000 claims abstract description 16
- 238000005192 partition Methods 0.000 claims abstract description 5
- 230000035939 shock Effects 0.000 claims 1
- 230000002265 prevention Effects 0.000 abstract description 5
- 238000007689 inspection Methods 0.000 abstract description 4
- 238000011897 real-time detection Methods 0.000 abstract description 2
- 230000002159 abnormal effect Effects 0.000 description 4
- 238000005065 mining Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F17/00—Methods or devices for use in mines or tunnels, not covered elsewhere
- E21F17/18—Special adaptations of signalling or alarm devices
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Abstract
The invention provides a local progressive focusing type detection early warning method for a coal rock dynamic disaster dangerous area, and belongs to the technical field of coal rock dynamic disaster prevention and control. The method comprises the steps of firstly, carrying out partition classification on the whole mine range by adopting a comprehensive index method, and determining a key area; then, carrying out regional detection early warning and inspection on the key region by applying dynamic stress field CT inversion and microseismic technology, and further determining a local danger range; then, the local danger range is subjected to on-site real-time detection, early warning and inspection by using an electromagnetic radiation method or a stress method; and finally, establishing a multi-parameter normalized comprehensive early warning model and an early warning criterion based on the monitoring and analyzing result. The method comprehensively utilizes the comprehensive index method, the vibration wave CT technology, the microseismic technology and the stress/electromagnetic radiation monitoring technology to detect and early warn the coal rock dynamic disaster danger, realizes the regional-local step-by-step focusing monitoring and early warning of the coal rock dynamic disaster, and can greatly improve the pertinence of disaster prevention and control and the prevention and control efficiency.
Description
Technical Field
The invention relates to the technical field of coal-rock dynamic disaster prevention and control, in particular to a local progressive focusing type detection early warning method for a coal-rock dynamic disaster dangerous area.
Background
In recent years, with the gradual shortage of shallow coal resources, many mining areas enter deep mining, and coal and gas outburst, rock burst and other coal and rock dynamic disasters threaten more seriously. The high-efficiency and reliable early warning of coal and rock dynamic disasters arouses the high attention of coal mine sites. Many mines are combined with online (portable) monitoring (detecting) early warning systems such as micro-vibration, ground sound, electromagnetic radiation, acoustic emission, mining stress, support working resistance, anchor rod (cable) stress, gas, roof separation and the like which are actually installed, and 24-hour continuous monitoring on coal and rock dynamic disasters is realized. However, since the monitoring principle, the monitoring mode and the monitoring focus of the various systems are different, and the monitoring objects, the range, the timeliness and the like focused by the systems also have differences, the monitoring systems are usually different from each other, and the multi-source data early warning results are inconsistent, so that the use efficiency of the systems is greatly influenced.
The coal and rock dynamic disaster area-local multi-parameter integrated intelligent detection early warning system platform is developed, organic fusion of multi-system and multi-parameter detection early warning information is realized, a comprehensive integrated early warning technology and method with unified early warning criteria, unified early warning indexes and unified early warning critical values is formed, intelligent early warning accuracy and risk pre-control level of coal and rock dynamic disasters are improved, a risk pre-control system is formed, and the comprehensive integrated early warning technology and method have important theoretical and practical significance for preventing coal and rock dynamic disasters and realizing safe production.
therefore, the invention provides a coal rock dynamic disaster dangerous area-local progressive focusing type detection early warning method aiming at the problems, which comprehensively uses a comprehensive index method, a vibration wave CT technology, a microseismic technology and a stress/electromagnetic radiation monitoring technology to carry out progressive focusing type monitoring analysis on the coal rock dynamic disaster danger, establishes a multi-parameter normalized comprehensive early warning model and an early warning criterion, is used for high-efficiency and reliable early warning of the coal rock dynamic disaster, and plays a certain guiding role in the development of mine disaster prevention and control work.
disclosure of Invention
The invention aims to solve the technical problem of providing a coal rock dynamic disaster dangerous area-local progressive focusing type detection early warning method, which comprehensively uses a comprehensive index method, a vibration wave CT technology, a micro-seismic technology and a stress/electromagnetic radiation monitoring technology to carry out progressive focusing type monitoring analysis on coal rock dynamic disaster dangerousness, establishes a multi-parameter normalized comprehensive early warning model and an early warning criterion and is used for efficient and reliable early warning of coal rock dynamic disasters.
The method comprises the following steps:
(1) Carrying out partition classification on the whole mine range by adopting a comprehensive index method, and determining a dangerous area, namely a key monitoring area;
(2) Performing regional monitoring on the key monitoring region determined in the step (1) by applying dynamic stress field CT inversion and microseismic technology, and further determining a local danger range;
(3) Applying an electromagnetic radiation method or a stress method to the local danger range to carry out on-site real-time monitoring;
(4) and (4) establishing a multi-parameter normalized comprehensive early warning model and an early warning criterion based on the monitoring and analyzing results of the step (2) and the step (3).
wherein, the key monitoring area in the step (1) is an area where dynamic disasters may occur, and the scale of the key monitoring area is generally the scale of a working face.
and (3) detecting the CT indexes of the vibration wave in the dynamic stress field CT inversion in the step (2) and the CT indexes comprise wave velocity, wave velocity gradient, wave velocity abnormity and the like.
Monitoring indexes of the microseismic technology in the step (2) comprise impact deformation energy, time sequence concentration, seismic source concentration, time-space diffusivity, total fault area and the like.
the indexes monitored by the electromagnetic radiation method in the step (3) comprise electromagnetic radiation intensity, main frequency and frequency, and the stress index monitored by the stress method is a borehole stress value.
The technical scheme of the invention has the following beneficial effects:
In the scheme, a comprehensive index method, a vibration wave CT technology, a microseismic technology and a stress/electromagnetic radiation monitoring technology are comprehensively applied, a dynamic and static load detection early warning technology system of coal and rock dynamic disaster danger, namely a mine → region → local progressive step-by-step focusing, is established, comprehensive integration and centralized display of multi-system and multi-parameter monitoring information are realized, a comprehensive integrated high-reliability early warning technology and method with unified early warning criteria, unified early warning indexes and unified early warning critical values are formed, and the mine can be guided to carry out accurate management on the coal and rock dynamic disaster.
drawings
FIG. 1 is a cloud chart of the seismic wave CT technology detection in the coal and rock dynamic disaster risk area-local progressive focusing type detection early warning method of the invention, wherein (a) is a wave velocity abnormal coefficient, and (b) is a wave velocity abnormal gradient coefficient;
FIG. 2 is a distribution diagram of the seismic sources of the microseismic events of the coal and rock dynamic disaster dangerous area-local progressive focusing type detection early warning method of the invention;
FIG. 3 is an electromagnetic radiation intensity variation curve of the coal petrography dynamic disaster dangerous area-local progressive focusing type detection early warning method of the present invention;
FIG. 4 is a time sequence variation curve of the bracket pressure in the coal rock dynamic disaster dangerous area-local progressive focusing type detection early warning method of the invention;
Fig. 5 is a flow chart of the local progressive focusing type detection early warning method for the coal and rock dynamic disaster dangerous area.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.
The invention provides a local progressive focusing type detection early warning method for a coal rock dynamic disaster dangerous area.
as shown in fig. 5, the method comprises the steps of:
(1) Carrying out partition classification on the whole mine range by adopting a comprehensive index method, and determining a dangerous area, namely a key monitoring area;
(2) Performing regional monitoring on the key monitoring region determined in the step (1) by applying dynamic stress field CT inversion and microseismic technology, and further determining a local danger range;
(3) Applying an electromagnetic radiation method or a stress method to the local danger range to carry out on-site real-time monitoring;
(4) And (4) establishing a multi-parameter normalized comprehensive early warning model and an early warning criterion based on the monitoring and analyzing results of the step (2) and the step (3).
the following description is given with reference to specific examples.
In practical application, the method is applied to carry out danger detection on a mine with serious coal and rock dynamic disasters, and the time period from 2017-11-7 to 2017-12-20 is taken, and the method specifically comprises the following steps:
step (1) carrying out partition classification on the whole mine range by adopting a comprehensive index method, and determining a key area to be 8308 working face;
Step (2) applying dynamic stress field CT inversion and microseismic technology to the 8308 working surface to carry out regional detection early warning and inspection, detecting the working surface by using the seismic wave CT technology, and drawing an abnormal coefficient and wave velocity gradient abnormal coefficient distribution cloud chart in the period of time, as shown in figure 1; the working surface is probed using microseismic monitoring techniques to obtain a source profile of the microseismic events in this time period, as shown in fig. 2.
Step (3) applying an electromagnetic radiation method and a stress method to the local danger range to carry out on-site real-time detection, early warning and inspection to obtain electromagnetic radiation intensity change curves of different positions of the working surface at the time section, as shown in fig. 3; the stress variation of the bracket in this period is shown in figure 4.
and (4) establishing a multi-parameter normalized comprehensive early warning model and an early warning criterion based on the monitoring and analyzing result.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (5)
1. A local progressive focusing type detection early warning method for coal rock dynamic disaster dangerous areas is characterized by comprising the following steps: the method comprises the following steps:
(1) Carrying out partition classification on the whole mine range by adopting a comprehensive index method, and determining a dangerous area, namely a key monitoring area;
(2) Performing regional monitoring on the key monitoring region determined in the step (1) by applying dynamic stress field CT inversion and microseismic technology, and further determining a local danger range;
(3) applying an electromagnetic radiation method or a stress method to the local danger range to carry out on-site real-time monitoring;
(4) And (4) establishing a multi-parameter normalized comprehensive early warning model and an early warning criterion based on the monitoring and analyzing results of the step (2) and the step (3).
2. The coal and rock dynamic disaster dangerous area-local progressive focusing type detection and early warning method according to claim 1, characterized in that: in the step (1), the key monitoring area is an area where dynamic disasters may occur, and the scale of the key monitoring area is the scale of the working face.
3. the coal and rock dynamic disaster dangerous area-local progressive focusing type detection and early warning method according to claim 1, characterized in that: the CT indexes of the shock waves detected in the dynamic stress field CT inversion in the step (2) comprise wave velocity, wave velocity gradient and wave velocity abnormity.
4. the coal and rock dynamic disaster dangerous area-local progressive focusing type detection and early warning method according to claim 1, characterized in that: and (3) monitoring indexes of the microseismic technology in the step (2) comprise impact deformation energy, time sequence concentration ratio, seismic source concentration ratio, time-space diffusivity and total fault area.
5. the coal and rock dynamic disaster dangerous area-local progressive focusing type detection and early warning method according to claim 1, characterized in that: the indexes monitored by the electromagnetic radiation method in the step (3) comprise electromagnetic radiation intensity, main frequency and frequency, and the stress index monitored by the stress method is a borehole stress value.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112483174A (en) * | 2020-11-20 | 2021-03-12 | 中国矿业大学 | Arrangement method of tunneling working face impact dangerous vibration wave CT inversion system |
| CN112963202A (en) * | 2021-02-05 | 2021-06-15 | 中煤科工开采研究院有限公司 | Rock burst monitoring and early warning method and system |
| CN113266421A (en) * | 2021-06-01 | 2021-08-17 | 北京科技大学 | Comprehensive early warning method for full-dangerous period time and space of rock burst |
| CN113917237A (en) * | 2020-07-08 | 2022-01-11 | 北京科技大学 | Method for predicting and early warning coal and rock dynamic disasters by utilizing electromagnetic radiation frequency characteristics |
| CN113914932A (en) * | 2020-07-08 | 2022-01-11 | 北京科技大学 | Method for identifying coal and gas outburst dangerous area by using vibration wave tomography |
| CN117605536A (en) * | 2023-11-15 | 2024-02-27 | 中国科学院武汉岩土力学研究所 | Inversion analysis method for stress field of deep coal mine working face |
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| CN113266421A (en) * | 2021-06-01 | 2021-08-17 | 北京科技大学 | Comprehensive early warning method for full-dangerous period time and space of rock burst |
| CN117605536A (en) * | 2023-11-15 | 2024-02-27 | 中国科学院武汉岩土力学研究所 | Inversion analysis method for stress field of deep coal mine working face |
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Application publication date: 20191210 |