CN104408323A - Method for advanced forecasting of roof separation water disaster of stope based on multi-source information fusion - Google Patents

Method for advanced forecasting of roof separation water disaster of stope based on multi-source information fusion Download PDF

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Publication number
CN104408323A
CN104408323A CN201410764456.5A CN201410764456A CN104408323A CN 104408323 A CN104408323 A CN 104408323A CN 201410764456 A CN201410764456 A CN 201410764456A CN 104408323 A CN104408323 A CN 104408323A
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China
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absciss layer
water damage
dominated factors
layer water
stope
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CN201410764456.5A
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李文平
王启庆
李小琴
孙如华
乔伟
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China University of Mining and Technology CUMT
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China University of Mining and Technology CUMT
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Priority to CN201410764456.5A priority Critical patent/CN104408323A/en
Publication of CN104408323A publication Critical patent/CN104408323A/en
Priority to PCT/CN2015/081601 priority patent/WO2016090883A1/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity

Abstract

The invention discloses a method for advanced forecasting of a roof separation water disaster of a stope based on multi-source information fusion. The method comprises the following basic steps: determining main control factors affecting the roof separation water disaster of the stope; building thematic maps of all the main control factors; evaluating all the main control factors by adopting a level analysis method and calculating the influence weight of each factor on the roof separation water disaster; normalizing the influence weight values of all the factors, and performing composite superposition on the thematic maps of all the main control factors after normalization by adopting a GIS space composite superposition function to form a stope roof separation water disaster dangerousness evaluation map; counting and analyzing roof separation water disaster dangerousness indexes and determining sub-region threshold values so as to form stope roof separation water disaster dangerousness evaluation sub-region maps. By adopting the method disclosed by the invention, advanced prediction and forecasting of the roof separation water disaster of the stope can be realized; corresponding prevention measures can be taken according to the dangerousness level of the roof separation water disaster; occurrence of roof separation water disaster accidents is prevented; safe backstopping of a working face is guaranteed.

Description

A kind of Stope roof absciss layer water damage advanced prediction method based on Multi-source Information Fusion
Technical field
The present invention relates to field of coal mining, be specifically related to a kind of Stope roof absciss layer water damage advanced prediction method based on Multi-source Information Fusion.
Background technology
Gushing water is one of large disaster in colliery four, is the great Coal Mine Disasters arranged side by side with gas accident.In recent years, along with the continuous increase of coal in China output, the increase of coal mining depth, the reasons such as mutil-coal seam mining, a kind of special water disaster type---overlying strata separation layer water water damage starts to occur, in Nan Tong colliery, Chongqing, Jining of Shandong Province No. two collieries, Hai Zi colliery, the Huaibei and the progress of coal mining such as willow colliery, Huainan Xin Ji mono-ore deposit, all there is typical absciss layer swelling dash forward, due to have when absciss layer swelling is dashed forward moment the water yield large, endanger the features such as large, workplace is often caused to be flooded, even casualties.
As during 21 days 12 May in 2005 13 points, Huaibei mining industry group Hai Zi colliery 745 workplace generation top board water inrush, maximum flow reaches 3887m 3/ h, instantaneously floods workplace, machine lane and air way, causes the dead and heavy losses of 5 people.Water inrush accident feature shows as: without (bursting) water sign of significantly dashing forward; Instantaneous gushing water amount is large; Instantaneous maximum prominent (bursting) water water yield decay is fast, and (only 18 minutes, the water yield decayed to 905m 3/ h; Within 3.5 hours, the water yield decays to 139m 3/ h); Gushing water is with relatively large rubble, outstanding (the about 300m of mud 3).Be accredited as by water inrush accident investigation: because coal measure strata and upper overlying strata magmatic rock exist notable difference in rock mass structure, intensity, deformation performance, in seam mining, magmatite understratum can produce obvious absciss layer, and by underground water filling, forms the absciss layer water body closed.Meanwhile, due to magmatite structural integrity, intensity is high, and after the absciss layer development under it reaches certain space scale, magmatite can produce and impact unstability suddenly, hits and claps absciss layer water body, make it produce very high water pressure instantaneously, breaks through water proof rock stratum, produces moment gushing water.
Therefore, how to avoid the generation of coal-face roof delamination water damage, most important for mine safety exploitation, the control of current absciss layer water damage is mainly realized by underground construction strata sell water " cutoff hole " or " pod apertures ", but owing to failing to carry out qualitative or quantitative evaluation analysis to the hazard level of Stope roof absciss layer water damage, cause the control of absciss layer water damage to have certain blindness.
Summary of the invention
Goal of the invention: the needs effectively preventing and treating Stope roof strata sell water in order to meet colliery, the present invention is directed to this novel water damage feature of Stope roof absciss layer water damage, a kind of Stope roof absciss layer water damage advanced prediction method based on Multi-source Information Fusion is provided, can not only Safety of Coal Mine Production be instructed, and be conducive to taking specific aim prophylactico-therapeutic measures in time.
Technical scheme: for achieving the above object, the technical solution used in the present invention is:
Based on a Stope roof absciss layer water damage advanced prediction method for Multi-source Information Fusion, comprise the steps:
(1) Dominated Factors affecting Stope roof absciss layer water damage is determined;
(2) based on colliery existing geologic condition prospecting results data, data acquisition, treatment and analysis are carried out to each Dominated Factors, sets up the thematic map of each Dominated Factors;
(3) adopt the thematic map of step analysis (AHP) method to each Dominated Factors to evaluate, calculate the weighing factor of each Dominated Factors to roof delamination water damage;
(4) weighing factor of each Dominated Factors is normalized, set up the thematic map of each Dominated Factors after normalization, utilize the thematic map of space complex superposition function to each Dominated Factors after normalization of GIS (Geographic Information System) to carry out complex superposition, form Stope roof absciss layer water damage hazard assessment figure;
(5) according to hazard assessment figure, statistical study is carried out to absciss layer water damage risk index, determine partition threshold, form Stope roof absciss layer water damage hazard assessment block plan.
In described step (1), the Dominated Factors affecting Stope roof absciss layer water damage comprises: water-bearing zone thickness, water-bearing zone artesian head, boring specific capacity (q value), minable coal seam thickness, hard rock thickness, strength factor and impermeable layer thickness; Described water-bearing zone thickness refers to, the water-bearing zone thickness in supply absciss layer space; Described hard rock thickness refers to, the thickness of the top hard rock of the generation absciss layer relative with bottom soft rock; Described strength factor refers to, the ratio of top, absciss layer space hard rock and the uniaxial compressive strength of bottom soft rock, and its middle and upper part strength of hard rock is comparatively large, and bottom soft rock intensity is less; Described impermeable layer thickness refers to, the impermeable layer thickness between absciss layer and water flowing fractured zone.
In described step (2), set up the thematic map of each Dominated Factors, be specially: first quantitative analysis is carried out to each Dominated Factors index, the point data of each Dominated Factors after quantification is carried out interpolation by recycling GIS, generate study area distribution of contours figure, finally set up corresponding Dominated Factors thematic map according to study area distribution of contours figure.
In described step (3), step analysis (AHP) method is adopted to evaluate each Dominated Factors, calculate the weighing factor of each Dominated Factors to roof delamination water damage, be specially: the step analysis matrix (AHP matrix) first building each Dominated Factors, then expert analysis mode method is used, evaluation marking is carried out to each Dominated Factors, build the judgment matrix that (AHP evaluation) is evaluated in the step analysis of absciss layer water damage, finally calculate the weighing factor of each Dominated Factors to roof delamination water damage according to judgment matrix.
In described step (4), utilize the thematic map of space complex superposition function to each Dominated Factors after normalization of GIS to carry out complex superposition, the absciss layer water damage Risk-Assessment Model of employing is:
VI = Σ k = 1 n W k · f k ( x , y )
In formula: VI is risk index; W kfor the weighing factor of major control factors; f k(x, y) is single-factor influence value function; (x, y) is geographic coordinate; N is the number of Dominated Factors.
In described step (5), statistical study is carried out to absciss layer water damage risk index, determine partition threshold, form Stope roof absciss layer water damage hazard assessment block plan, be specially: first frequency histogram statistical study is carried out to absciss layer water damage risk index, what can adopt GIS inside is interrupted stage division naturally, frequency histogram statistic analysis result is classified, form Stope roof absciss layer water damage hazard assessment block plan, be divided into A, B, C, D successively according to the prominent danger of absciss layer swelling is ascending ... in district.
Beneficial effect: the Stope roof absciss layer water damage advanced prediction method based on Multi-source Information Fusion provided by the invention, based on the existing true geologic condition prospecting results data of mine, theoretical according to Multi-source Information Fusion, take GIS as operating platform, the analysis of advanced prediction Forecast evaluation is carried out to Stope roof absciss layer water damage danger, colliery can be realized targetedly to the object that Stope roof absciss layer water damage is prevented and treated.
Accompanying drawing explanation
Fig. 1 is the inventive method implementing procedure figure
Embodiment
Below in conjunction with accompanying drawing, the present invention is further described.
As shown in Figure 1, for a kind of based on the Stope roof absciss layer water damage advanced prediction method of Multi-source Information Fusion, comprise the steps:
(1) Dominated Factors affecting Stope roof absciss layer water damage is determined.
The Dominated Factors affecting Stope roof absciss layer water damage comprises: water-bearing zone thickness, water-bearing zone artesian head, boring specific capacity (q value), minable coal seam thickness, hard rock thickness, strength factor and impermeable layer thickness; Described water-bearing zone thickness refers to, the water-bearing zone thickness in supply absciss layer space; Described hard rock thickness refers to, the thickness of the top hard rock of the generation absciss layer relative with bottom soft rock; Described strength factor refers to, the ratio of top, absciss layer space hard rock and the uniaxial compressive strength of bottom soft rock, and its middle and upper part strength of hard rock is comparatively large, and bottom soft rock intensity is less; Described impermeable layer thickness refers to, the impermeable layer thickness between absciss layer and water flowing fractured zone.
(2) based on colliery existing geologic condition prospecting results data, data acquisition, treatment and analysis are carried out to each Dominated Factors, sets up the thematic map of each Dominated Factors.
This step is specially: first carried out quantitative analysis to each Dominated Factors index, the point data of each Dominated Factors after quantification is carried out interpolation by recycling GIS, generate study area distribution of contours figure, finally set up corresponding Dominated Factors thematic map according to study area distribution of contours figure.
(3) adopt step analysis (AHP) method to evaluate each Dominated Factors, calculate the weighing factor of each Dominated Factors to roof delamination water damage.
In this step, first the step analysis matrix (AHP matrix) of each Dominated Factors is built, then expert analysis mode method is used, evaluation marking is carried out to each Dominated Factors, build the judgment matrix that (AHP evaluation) is evaluated in the step analysis of absciss layer water damage, finally calculate the weighing factor of each Dominated Factors to roof delamination water damage according to judgment matrix, and consistency check is carried out to result of calculation.
(4) for eliminating the different dimension of each Dominated Factors to the impact of evaluation result, the weighing factor of each Dominated Factors is normalized, set up the thematic map of each Dominated Factors after normalization, according to the weight coefficient affecting each Dominated Factors of absciss layer water damage that AHP determines, set up study area absciss layer water damage Risk-Assessment Model (formula 1).Utilize powerful information fusion and the data processing function of GIS, according to absciss layer water damage criterion that Risk-Assessment Model is determined (formula 1), the thematic map of each Dominated Factors after normalized is carried out complex superposition, forms Stope roof absciss layer water damage hazard assessment figure.
VI = Σ k = 1 n W k · f k ( x , y ) - - - ( 1 )
In formula: VI is risk index; W kfor the weighing factor of major control factors; f k(x, y) is single-factor influence value function; (x, y) is geographic coordinate; N is the number of Dominated Factors.
(5) statistical study is carried out to absciss layer water damage risk index, determine partition threshold, form Stope roof absciss layer water damage hazard assessment block plan.
In this step, first frequency histogram statistical study is carried out to absciss layer water damage risk index, what can adopt GIS inside is interrupted stage division naturally, frequency histogram statistic analysis result is classified, form Stope roof absciss layer water damage hazard assessment block plan, be divided into A, B, C, D successively according to the prominent danger of absciss layer swelling is ascending ... in district.
The above is only the preferred embodiment of the present invention; be noted that for those skilled in the art; under the premise without departing from the principles of the invention, can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.

Claims (6)

1., based on a Stope roof absciss layer water damage advanced prediction method for Multi-source Information Fusion, it is characterized in that: comprise the steps:
(1) Dominated Factors affecting Stope roof absciss layer water damage is determined;
(2) based on colliery existing geologic condition prospecting results data, data acquisition, treatment and analysis are carried out to each Dominated Factors, sets up the thematic map of each Dominated Factors
(3) adopt the thematic map of Hierarchy Analysis Method to each Dominated Factors to evaluate, calculate the weighing factor of each Dominated Factors to roof delamination water damage;
(4) weighing factor of each Dominated Factors is normalized, set up the thematic map of each Dominated Factors after normalization, utilize the thematic map of space complex superposition function to each Dominated Factors after normalization of GIS to carry out complex superposition, form Stope roof absciss layer water damage hazard assessment figure;
(5) according to hazard assessment figure, statistical study is carried out to absciss layer water damage risk index, determine partition threshold, form Stope roof absciss layer water damage hazard assessment block plan.
2. the Stope roof absciss layer water damage advanced prediction method based on Multi-source Information Fusion according to claim 1, it is characterized in that: in described step (1), the Dominated Factors affecting Stope roof absciss layer water damage comprises: water-bearing zone thickness, water-bearing zone artesian head, boring specific capacity, minable coal seam thickness, hard rock thickness, strength factor and impermeable layer thickness; Described water-bearing zone thickness refers to, the water-bearing zone thickness in supply absciss layer space; Described hard rock thickness refers to, the thickness of the top hard rock of the generation absciss layer relative with bottom soft rock; Described strength factor refers to, the ratio of top, absciss layer space hard rock and the uniaxial compressive strength of bottom soft rock; Described impermeable layer thickness refers to, the impermeable layer thickness between absciss layer and water flowing fractured zone.
3. the Stope roof absciss layer water damage advanced prediction method based on Multi-source Information Fusion according to claim 1, it is characterized in that: in described step (2), set up the thematic map of each Dominated Factors, be specially: first quantitative analysis is carried out to each Dominated Factors index, the point data of each Dominated Factors after quantification is carried out interpolation by recycling GIS, generate study area distribution of contours figure, finally set up corresponding Dominated Factors thematic map according to study area distribution of contours figure.
4. the Stope roof absciss layer water damage advanced prediction method based on Multi-source Information Fusion according to claim 1, it is characterized in that: in described step (3), Hierarchy Analysis Method is adopted to evaluate each Dominated Factors, calculate the weighing factor of each Dominated Factors to roof delamination water damage, be specially: the step analysis matrix first building each Dominated Factors, then expert analysis mode method is used, evaluation marking is carried out to each Dominated Factors, build the judgment matrix that the step analysis of absciss layer water damage is evaluated, finally calculate the weighing factor of each Dominated Factors to roof delamination water damage according to judgment matrix.
5. the Stope roof absciss layer water damage advanced prediction method based on Multi-source Information Fusion according to claim 1, it is characterized in that: in described step (4), utilize the thematic map of space complex superposition function to each Dominated Factors after normalization of GIS to carry out complex superposition, the absciss layer water damage Risk-Assessment Model of employing is:
VI = Σ k = 1 n W k · f k ( x , y )
In formula: VI is risk index; W kfor the weighing factor of major control factors; f k(x, y) is single-factor influence value function; (x, y) is geographic coordinate; N is the number of Dominated Factors.
6. the Stope roof absciss layer water damage advanced prediction method based on Multi-source Information Fusion according to claim 1, it is characterized in that: in described step (5), statistical study is carried out to absciss layer water damage risk index, determine partition threshold, form Stope roof absciss layer water damage hazard assessment block plan, be specially: first frequency histogram statistical study is carried out to absciss layer water damage risk index, what adopt GIS inside is interrupted stage division naturally, frequency histogram statistic analysis result is classified, forms Stope roof absciss layer water damage hazard assessment block plan.
CN201410764456.5A 2014-12-12 2014-12-12 Method for advanced forecasting of roof separation water disaster of stope based on multi-source information fusion Pending CN104408323A (en)

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Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104766242A (en) * 2015-03-25 2015-07-08 山东科技大学 Method for evaluating dangerousness of water inrush from coal floor
WO2016090883A1 (en) * 2014-12-12 2016-06-16 中国矿业大学 Stope roof separation layer water disaster advanced forecasting method based on multi-source information integration
CN106437844A (en) * 2016-10-26 2017-02-22 重庆大学 Method for advanced forecast of tunnel water inflow position
CN108256259A (en) * 2018-02-05 2018-07-06 中煤科工集团西安研究院有限公司 The method and device of seat earth slip casting target area is determined based on Fuzzy Level Analytic Approach
CN108549994A (en) * 2018-04-23 2018-09-18 中国电建集团贵州电力设计研究院有限公司 A kind of evaluation method of coal mine empty water water damage always
CN110826235A (en) * 2019-10-18 2020-02-21 山东科技大学 Principal component Logistic regression analysis method for evaluating water inrush of coal seam floor
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Families Citing this family (10)

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CN116934262B (en) * 2023-07-26 2024-02-02 江苏晓宇水利建设有限公司 Construction safety supervision system and method based on artificial intelligence

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101699451A (en) * 2009-05-08 2010-04-28 中国矿业大学(北京) Novel practical method frangibility index method for evaluating seam floor water inrush
CN101726750A (en) * 2009-11-30 2010-06-09 中国矿业大学(北京) 'Three-map method' for evaluating ground fissures
CN102663506A (en) * 2012-04-28 2012-09-12 清华大学 Method for carrying out quantitative zoning by utilizing ecological bearing pressure model
CN103926633A (en) * 2013-01-16 2014-07-16 中国矿业大学(北京) Method for quantitatively evaluating water inrush prevention performance of seam floor coal-series water-resisting layer

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103853910A (en) * 2012-12-07 2014-06-11 中国科学院城市环境研究所 Spatial sampling method based on multi-target multi-data type variability model
CN103985057B (en) * 2014-05-27 2017-07-28 煤炭科学技术研究院有限公司 Safety of coal mines risk assessment or earthquake loss estimation methodology and device
CN104408323A (en) * 2014-12-12 2015-03-11 中国矿业大学 Method for advanced forecasting of roof separation water disaster of stope based on multi-source information fusion

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101699451A (en) * 2009-05-08 2010-04-28 中国矿业大学(北京) Novel practical method frangibility index method for evaluating seam floor water inrush
CN101726750A (en) * 2009-11-30 2010-06-09 中国矿业大学(北京) 'Three-map method' for evaluating ground fissures
CN102663506A (en) * 2012-04-28 2012-09-12 清华大学 Method for carrying out quantitative zoning by utilizing ecological bearing pressure model
CN103926633A (en) * 2013-01-16 2014-07-16 中国矿业大学(北京) Method for quantitatively evaluating water inrush prevention performance of seam floor coal-series water-resisting layer

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
孙亚军等: "GIS水害预测模型的性质与应用", 《全体煤矿地质世纪之交学术交流会》 *
屈伟等: "基于模糊层次分析法的西南岩溶地区煤层顶板水害危险性评价方法研究", 《矿业安全与环保》 *
陈勇: "顶板离层主要影响因素分析", 《能源技术与管理》 *
高志强: "基于GIS的淮南煤田矿井水害预测预警研究——以谢桥矿为例", 《中国优秀硕士学位论文全文数据库 工程科技I辑》 *

Cited By (15)

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Application publication date: 20150311