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 PDFInfo
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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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- 238000013277 forecasting method Methods 0.000 title abstract 4
- 238000000034 method Methods 0.000 claims abstract description 26
- 239000011435 rock Substances 0.000 claims abstract description 21
- 230000005670 electromagnetic radiation Effects 0.000 claims abstract description 9
- 230000007261 regionalization Effects 0.000 claims 1
- 238000012544 monitoring process Methods 0.000 abstract description 11
- 238000012827 research and development Methods 0.000 abstract description 2
- 239000007789 gas Substances 0.000 abstract 1
- 230000035939 shock Effects 0.000 abstract 1
- 238000010168 coupling process Methods 0.000 description 3
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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
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):
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):
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
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.
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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 |
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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 |
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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 |
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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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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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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 |
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