CN103104291A - Multi-parameter aggregative indicator forecasting method of coal petrography dynamic disaster - Google Patents

Multi-parameter aggregative indicator forecasting method of coal petrography dynamic disaster Download PDF

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CN103104291A
CN103104291A CN2012104383530A CN201210438353A CN103104291A CN 103104291 A CN103104291 A CN 103104291A CN 2012104383530 A CN2012104383530 A CN 2012104383530A CN 201210438353 A CN201210438353 A CN 201210438353A CN 103104291 A CN103104291 A CN 103104291A
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index
dynamic disaster
hazard
indicators
coal petrography
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李成武
杨威
王启飞
徐晓萌
崔永国
迟雷雷
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China University of Mining and Technology Beijing CUMTB
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China University of Mining and Technology Beijing CUMTB
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Abstract

A multi-parameter aggregative indicator forecasting method of a coal petrography dynamic disaster is suitable for forecasting coal petrography dynamic disasters such as outburst of coal and gas and rock bust of coal and gas in a coal mine excavating process. When various index prediction methods are coupled in the same monitoring system, problems such as how to select importance degrees of various indicators and how to determine a critical value of the various indicators are produced. According to amplitude values of four indicators including electromagnetic radiation, slight shock, acoustic emission and gas density, an average value of the amplitude values in a normal level and the maximum value of the amplitude values of the four indicators when the coal petrography dynamic disasters happen at any moment, the multi-parameter aggregative indicator forecasting method of the coal petrography dynamic disaster determines a single indicator hazard index of the four indicators at the moment. The value of single index hazard index determines single index weights of the four indicators, and therefore an aggregative indicator hazard index of the four indicators is calculated, and finally a danger class of the coal petrography dynamic disaster which happens in an excavating roadway is determined according to the value of the aggregative indicator hazard index. The multi-parameter aggregative indicator forecasting method of the coal petrography dynamic disaster provides a critical value determination method and an early warning standard for the research and development of a multi-parameter monitoring system of the coal petrography dynamic disaster.

Description

A kind of multi-parameter integrated index prediction method of coal rock dynamic disaster
Technical field
The invention belongs to the coal exploitation field in energy technology, be applicable to predict the coal rock dynamic disaster such as coal and Gas Outburst and bump in Coal mine excavation.
Background technology
The time that coal rock dynamic disaster occurs, place, zone, focus etc. have randomness, complicated variety and sudden, make the prediction work of coal rock dynamic disaster become very difficult complicated, are the global problems that needs to be resolved hurrily.The key of the prediction work of coal rock dynamic disaster is the selection of Forecasting Methodology.Chinese scholars has proposed many Forecasting Methodologies through research for many years.The coal rock dynamic disaster Forecasting Methodology can be divided into index prediction method and continuous predicted method according to the continuity of forecasting process.Compare with the index prediction method, continuously predicted method has noncontact, continuity, does not disturb the advantage such as the normal production in colliery, develops into gradually the main flow of coal rock dynamic disaster Forecasting Methodology.
Continuous prediction method mainly contains electromagnetic radiation, microseism, acoustic emission and dynamic gas emission method etc.At present the coal rock dynamic disaster continuous monitor system that uses of colliery generally is special-purpose monitoring system, and its prediction index is single, the scope of application is limited, and has the problem such as fail to report, reliability is low.The many reference amounts prognoses system that several different methods is combined can improve the accuracy of prediction, reduces rate of failing to report.Yet each prediction index has its distinctive forecasting mechanism, and multiple single index predicted method is coupling in same monitoring system, can produce just how each index weight is chosen and the problem such as threshold how to confirm.Therefore, demand proposing a kind of multi-parameter integrated index prediction method that can determine different index weights and threshold urgently.
Summary of the invention
The present invention proposes a kind of multi-parameter integrated index prediction method of coal rock dynamic disaster, is intended to solve each index weight and threshold On The Choice in multiple coal rock dynamic disaster continuous prediction method coupling process.
For achieving the above object, the present invention adopts following technical scheme:
Step 1: the average A that adds up respectively the amplitude under electromagnetic radiation, microseism, acoustic emission and four kinds of index normal levels of gas density 0The maximum value A of four kinds of index amplitudes during with the generation coal rock dynamic disaster max, calculate each index maximum value A maxWith average A 0Between difference (A max-A 0);
Step 2: for the amplitude A (t) of electromagnetic radiation, microseism, acoustic emission and the four kinds of indexs of gas density of arbitrary moment t, calculate the absolute value of A (t) | A (t) | and A 0Difference, and difference is asked absolute value || A (t) |-A 0|, then obtain respectively four kinds of indexs || A (t) |-A 0| with (A max-A 0) ratio.This ratio is single index hazard index W (t).
Step 3: determine weight separately according to the size of four kinds of single index hazard index W (t), hazard index W (t) size be positioned at [0,0.25), [0.25,0.5), [0.5,0.75), [0.75,1] the weight respectively 0.25 of corresponding index, 0.5,0.75,1.
Step 4: four kinds of single index hazard index W (t) be multiply by each self-corresponding weight f (t), and the overall target hazard index W that namely obtains four kinds of indexs combines (t).According to overall target hazard index W combine (t) size be positioned at [0,0.25), [0.25,0.5), [0.5,0.75), the situation of [0.75,1], t digging constantly tunnel danger is divided into safe, safer, more dangerous and dangerous four grades.Safe class represents that mining work can normally carry out; Represent in mining process than safe class, should strengthen the monitoring and prediction of coal rock dynamic disaster danger; In mining work, answer the reinforced region prophylactico-therapeutic measures than the danger classes representative, carry out simultaneously monitoring and prediction, can tunnel when the monitoring and prediction result reaches safe coefficient; After the regional control measure is taked in the danger classes representative, after thinking that through check measure is effective, again take local control's measure, carry out simultaneously monitoring and prediction, can tunnel when the monitoring and prediction result reaches safe coefficient.
The invention has the beneficial effects as follows, utilize four kinds of coal rock dynamic disaster index coupling predictions can improve the accuracy of getting working face the place ahead coal rock dynamic disaster prediction, and providing technical foundation for the coal rock dynamic disaster many indexes merges, the research and development that also can be coal rock dynamic disaster many reference amounts monitoring system simultaneously provide threshold to determine method and early warning standard.
The specific embodiment
The coal rock dynamic disaster monitoring index mainly comprises four kinds of electromagnetic radiation, microseism, acoustic emission and gas densities.According to mine field measurement data, add up respectively the average A of the amplitude absolute value under electromagnetic radiation, microseism, acoustic emission and four kinds of index normal levels of gas density 0The maximum value A of four kinds of index amplitudes during with the generation coal rock dynamic disaster max
For the arbitrary index in electromagnetic radiation, microseism, acoustic emission and four kinds of indexs of gas density, single index hazard index W (t) is determined by formula (1):
W ( t ) = | | A ( t ) | - A 0 | A max - A 0 - - - ( 1 )
In formula, W (t) expression single index hazard index, it is worth between 0~1;
A (t) expression t is the amplitude of index constantly;
A 0Be expressed as the average of index amplitude, its value is determined according to mine measured data statistics;
A maxThe maximum value of expression index amplitude, its value is determined according to mine measured data statistics.
The overall target design formulas of four kinds of indexs is determined by formula (2):
W ( t ) = Σ i = 1 4 W i ( t ) · f i ( t ) - - - ( 2 )
In formula, W Combine(t) expression t moment overall target hazard index;
I represents i index in electromagnetic radiation, microseism, acoustic emission and gas density;
W i(t) hazard index of expression t moment i index, its value is calculated by formula (1);
f i(t) weight of expression t moment i index, its value is chosen according to table 1.
Table 1t is each index weights option table constantly
Single index value scope 0≤W i(t)<0.25 0.25≤W i(t)<0.5 0.5≤W i(t)<0.75 0.75≤W i(t)≤1
Weight (f i(t)) 0.25 0.5 0.75 1
According to the method for aggregative indicator, draw t overall target hazard index W constantly Combine(t), according to W Combine(t) size of value also is divided into degree of danger safe, safer, more dangerous and dangerous four grades, and its criterion is according to shown in table 2.
The criterion of table 2 overall target degree of danger
Degree of danger Safety Safer More dangerous Dangerous
Criterion 0≤W i(t)<0.25 0.25≤W i(t)<0.5 0.5≤W i(t)<0.75 W i(t)≥0.75
The meaning of the overall target degree of danger in table 2 and illustrate as shown in table 3.
Meaning and explanation that table 3 index is judged
Figure BSA00000800884600023

Claims (3)

1. multi-parameter integrated index prediction method of coal rock dynamic disaster is characterized in that: when utilizing the average of the amplitude under electromagnetic radiation, microseism, acoustic emission and the arbitrary moment amplitude of four kinds of indexs of gas density, normal level and coal rock dynamic disaster occuring, three numerical value of maximum value of four kinds of index amplitudes are determined the single index hazard index; Then determine each single index weight according to the single index hazard index, and then calculate the overall target hazard index; Large young pathbreaker's risk regionalization according to hazard index is safe, safer, more dangerous and dangerous four ranks at last.
2. single index hazard index according to claim 1 is characterized in that: for arbitrary index wherein, its hazard index W (t) is by formula
Figure FSA00000800884500011
Determine, hazard index is divided into four intervals, respectively corresponding four kinds of danger classess.
3. the method for aggregative indicator according to claim 1, is characterized in that: method of aggregative indicator hazard index W Combine(t) by formula
Figure FSA00000800884500012
Determine, hazard index is divided into four intervals, respectively corresponding four kinds of danger classess.
CN2012104383530A 2012-11-07 2012-11-07 Multi-parameter aggregative indicator forecasting method of coal petrography dynamic disaster Pending CN103104291A (en)

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CN103306722A (en) * 2013-06-21 2013-09-18 中国矿业大学 Micro-seismic multi-dimensional information comprehensive region detection and evaluation method for impact danger region
CN103821565A (en) * 2014-03-11 2014-05-28 辽宁工程技术大学 Coal and rock fracture multi-parameter duplex measurement device and configuration method
CN104153814A (en) * 2014-06-23 2014-11-19 中国矿业大学 Micro-seismic multi-parameter early warning method for rock burst
CN104533443A (en) * 2014-10-29 2015-04-22 山东科技大学 Hard roof mine impact ground pressure hazard risk prediction analysis method
CN105467429A (en) * 2015-11-24 2016-04-06 江西理工大学 Hard rock mine ground pressure coupling prediction method
CN105673075A (en) * 2016-01-13 2016-06-15 中国矿业大学(北京) Coal and rock dynamic disaster multi-parameter wireless monitoring comprehensive early-warning technology and method
CN103821565B (en) * 2014-03-11 2016-11-30 辽宁工程技术大学 A kind of coal petrography ruptures many reference amounts duplex measurement device and method for arranging
CN107784437A (en) * 2017-10-16 2018-03-09 重庆大学 A kind of Driving Face in Coal Tunnel outburst danger discrimination method based on stress concentration
CN109356655A (en) * 2018-12-06 2019-02-19 西安科技大学 The compound coal rock dynamic disaster prediction and warning method of index is extracted based on gas density and sound emission
CN109578075A (en) * 2018-11-15 2019-04-05 国家能源投资集团有限责任公司 The micro seismic monitoring method for early warning of bump danger, device and system
CN110005413A (en) * 2019-04-16 2019-07-12 中国矿业大学 Driving face coal combines control method with gas protrusion and dynamic impact problem disaster
CN110043317A (en) * 2019-04-15 2019-07-23 兖州煤业股份有限公司 Knowledge method for early warning is sentenced in a kind of mine disaster many reference amounts local danger area
CN110107308A (en) * 2019-04-30 2019-08-09 中国科学院武汉岩土力学研究所 It is a kind of generation in tunnel TBM cutterhead the grade of rock burst determine method
CN110779574A (en) * 2019-10-30 2020-02-11 北京科技大学 Coal rock dynamic disaster multi-system multi-parameter integrated comprehensive early warning method and system
CN111206960A (en) * 2020-01-15 2020-05-29 中煤科工集团重庆研究院有限公司 Method for predicting coal rock dynamic disasters based on full time domain AE (acoustic emission) features
CN112282733A (en) * 2020-10-29 2021-01-29 中煤科工集团重庆研究院有限公司 Method for determining coal bed gas abnormity by gas emission quantity characteristic while drilling
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
CN113990506A (en) * 2021-10-29 2022-01-28 医渡云(北京)技术有限公司 Health state evaluation method and device, storage medium and computer system
CN115075886A (en) * 2022-07-26 2022-09-20 北京科技大学 Coal roadway tunneling full-period multi-scale outburst danger space-time early warning and outburst elimination inspection method
CN118133490A (en) * 2023-12-21 2024-06-04 中国矿业大学 Intelligent prediction method and system for coal mine composite dynamic disaster

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CN102628373A (en) * 2012-04-27 2012-08-08 天地科技股份有限公司 Impact ground pressure split source comprehensive early-warning method of coal mine

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CN101762830A (en) * 2009-09-29 2010-06-30 中国矿业大学 Distributed coal mine rock burst monitoring method
CN102628373A (en) * 2012-04-27 2012-08-08 天地科技股份有限公司 Impact ground pressure split source comprehensive early-warning method of coal mine

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* Cited by examiner, † Cited by third party
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CN103306722A (en) * 2013-06-21 2013-09-18 中国矿业大学 Micro-seismic multi-dimensional information comprehensive region detection and evaluation method for impact danger region
CN103821565A (en) * 2014-03-11 2014-05-28 辽宁工程技术大学 Coal and rock fracture multi-parameter duplex measurement device and configuration method
CN103821565B (en) * 2014-03-11 2016-11-30 辽宁工程技术大学 A kind of coal petrography ruptures many reference amounts duplex measurement device and method for arranging
CN104153814A (en) * 2014-06-23 2014-11-19 中国矿业大学 Micro-seismic multi-parameter early warning method for rock burst
CN104533443A (en) * 2014-10-29 2015-04-22 山东科技大学 Hard roof mine impact ground pressure hazard risk prediction analysis method
CN105467429A (en) * 2015-11-24 2016-04-06 江西理工大学 Hard rock mine ground pressure coupling prediction method
CN105467429B (en) * 2015-11-24 2019-05-10 江西理工大学 A kind of method of hard-rock mine mountainous region pressure coupling prediction
CN105673075A (en) * 2016-01-13 2016-06-15 中国矿业大学(北京) Coal and rock dynamic disaster multi-parameter wireless monitoring comprehensive early-warning technology and method
CN107784437A (en) * 2017-10-16 2018-03-09 重庆大学 A kind of Driving Face in Coal Tunnel outburst danger discrimination method based on stress concentration
CN107784437B (en) * 2017-10-16 2021-09-28 重庆大学 Stress concentration-based coal roadway driving face outburst danger identification method
CN109578075A (en) * 2018-11-15 2019-04-05 国家能源投资集团有限责任公司 The micro seismic monitoring method for early warning of bump danger, device and system
CN109356655A (en) * 2018-12-06 2019-02-19 西安科技大学 The compound coal rock dynamic disaster prediction and warning method of index is extracted based on gas density and sound emission
CN110043317A (en) * 2019-04-15 2019-07-23 兖州煤业股份有限公司 Knowledge method for early warning is sentenced in a kind of mine disaster many reference amounts local danger area
CN110043317B (en) * 2019-04-15 2020-07-21 兖州煤业股份有限公司 Mine disaster multi-parameter local danger area judgment and early warning method
CN110005413A (en) * 2019-04-16 2019-07-12 中国矿业大学 Driving face coal combines control method with gas protrusion and dynamic impact problem disaster
CN110005413B (en) * 2019-04-16 2020-07-31 中国矿业大学 Combined prevention and control method for coal and gas outburst and impact power disaster of driving face
CN110107308A (en) * 2019-04-30 2019-08-09 中国科学院武汉岩土力学研究所 It is a kind of generation in tunnel TBM cutterhead the grade of rock burst determine method
CN110107308B (en) * 2019-04-30 2020-08-25 中国科学院武汉岩土力学研究所 Grade determination method for rock burst in tunnel TBM cutterhead
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Application publication date: 20130515