CN107463718A - A kind of determination method of the linear structures estimation of stability index in goaf ground of underliing - Google Patents

A kind of determination method of the linear structures estimation of stability index in goaf ground of underliing Download PDF

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CN107463718A
CN107463718A CN201610387033.5A CN201610387033A CN107463718A CN 107463718 A CN107463718 A CN 107463718A CN 201610387033 A CN201610387033 A CN 201610387033A CN 107463718 A CN107463718 A CN 107463718A
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index
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linear structures
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高保彬
郭放
张昌娟
王祖洸
张彦宾
常俊杰
高凡
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Henan University of Technology
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Abstract

The invention belongs to structures estimation of stability field, specifically disclose a kind of determination method of the linear structures estimation of stability index in goaf ground of underliing, to realize the stable checking calculation for the linear structures in goaf ground that underlie, scientific basis is provided for risk-aversion and control.Its implementation process is：1st, the linear structures evaluation system model in goaf ground that underlies is established, determines evaluation factor collection；2nd, Comment gathers are determined；3rd, the weight for obtaining influence factor is calculated using analytic hierarchy process (AHP), and determines weight sets；4th, calculate single factor judgment matrix and carry out Comprehensive Evaluation, draw Comprehensive Evaluation result；5th, corresponding early warning is sent according to evaluation result.The present invention underlies each influence factor of the linear structures stability in goaf ground than more fully considering influence, establish perfect evaluation system, the problem of linear structures in goaf ground that can accurately and timely find to underlie are present, Comprehensive Evaluation result generates different grades of safe early warning, for ensureing that the safety of structures has great significance.

Description

A kind of determination method of the linear structures estimation of stability index in goaf ground of underliing
Technical field
The present invention relates to a kind of structures method for estimating stability, specifically one kind underlies the linear structures in goaf ground The determination method of estimation of stability index, available for the big Linear structures disaster of the goaf near surface that underlies safety evaluation and Prediction.
Background technology
In occupation of long-term, firm fundamental position in national economy, national conditions determine China for coal for coal industry Demand it is very huge.After a large amount of exploitations of coal resources, underground forms large-scale hole region, i.e., mined out Area.Recently as developing rapidly for urbanization, substantial amounts of highway, tunnel, railway, canal body, bridge and underground utilities etc. are large-scale Linear structures are built in universal, because the mined out rear rock mass structure in underground is destroyed, cause near surface to collapse, displacement, may Make to have near surface, just build and destroyed with big Linear structures yet to be built.
The method that the theoretical calculation of mining damage evaluation is the most frequently used is probability integration process, due to answering for underground engineering geologic body Polygamy, anisotropism and unpredictability, another regional change is predicted using the constant rock displacement parameter in other regions Engineering geology, its accuracy remain to be discussed.China at present《Building, water body, railway and main roadway coal column are stayed to set and opened with pressure coal Adopt code》In detailed infringement circle division has only been carried out to past fabric structure, and circle is damaged to linear structures Division it is more general.The goaf structures course of damage that underlies is recovery activity and structure base, ground interaction Process, its Disasters Type belong to engineering safety category, are evaluated, predicted and early warning is more closed from safety system engineering angle Reason.
The content of the invention
It is linear it is an object of the invention to for the deficiency in above-mentioned existing method, establish one kind goaf ground of underliing The determination method of structures estimation of stability index, to underliing, goaf structures stability carries out objective, comprehensive evaluation, with Realize the best fit of input for safety, safe practice and security context.
To achieve the above object, the technical solution adopted for the present invention to solve the technical problems is：
The determination method of the linear structures estimation of stability index in goaf ground of underliing based on Field Using Fuzzy Comprehensive Assessment, including Following steps：
（1）Establish linear structures evaluation system model, be divided into two levels, by human factor, linear structures oneself state, Environmental factor, management factors are as the first level；Using each influence factor is as the second level in terms of aforementioned four, wherein people Influence factor includes：Underground operate against regulations rate, physiological status, psychologic status, staff training efficiency, near surface operation break rules and regulations rate； Linear structures oneself state influence factor includes：Structures spoilage, structures adjunct spoilage, structures maintenance cost With, safety devices setting rate, extreme climate responsiveness, section vehicle trouble rate, section vehicle overload ratio, section vehicle overload Ratio；Environmental impact factor includes earthquake occurrence frequency, rainfall disturbance degree, influence on groundwater degree, Geological Structure Effect degree, exception Climatic effect degree, overlying Rock And Soil disturbance degree, hydrophobic draining disturbance degree, mining condition disturbance degree；Management influence factor includes：Institute The early warning factor index for the management stated include managerial competency rate, rescue input ratio, administrative department's harmony, roadblock elimination factor, Control validity；
（2）Evaluation factor collection E is established according to the value of each influence factor in evaluation system model；
（3）Comment gathers V is established, for evaluating the stability grade for the linear structures in goaf ground that underlie：V = {V1, V2, V3, V4, V5}={ is dangerous, relatively hazardous, critical, safer, safety }；
（4）The weight for obtaining influence factor, its first level weight judgment matrix weight sets A tables are calculated using analytic hierarchy process (AHP) Show, the second level weight judgment matrix uses weight sets A respectively1、A2、A3、A4Represent；
（5）Calculate single factor judgment matrix Ri, and evaluation result is obtained by Comprehensive Evaluation；According to the second level weight sets A1、 A2、A3、A4With single factor judgment matrix RiThe first level evaluation result B is calculatedi；Further according to the first level evaluation result BiWith Comprehensive Evaluation result B is calculated in first level weight sets A；
（6）According to maximum membership grade principle, when the comprehensive evaluation value calculated is in some section, then can visual representation underlie The stability status of the linear structures in goaf ground, and early warning is sent accordingly.
State step（1）The influence factor of described people, the influence factor of structures oneself state, the influence factor of environment, The influence factor index of management includes following content respectively：
（1）The influence factor E of people1 = {X1, X2, X3, X4, X5}={, underground operated against regulations rate, physiological status, psychologic status, people Member's training efficiency, near surface operation are broken rules and regulations rate }, wherein：
The underground rate of operating against regulations refer to working face in the pit personnel not according to the required coal-mining method of design, production practice, adopt Dead zone administration way working seam, so as to cause surface movement and deformation larger, is obtained by survey；
The physiological status refers to the health situation of staff, belongs to auxiliary warning index, is tied by site inspection, test Fruit, scoring obtain；
The psychologic status refers to the psychological condition of staff, belongs to auxiliary warning index, by site inspection, test result, Scoring obtains；
The staff training efficiency refers to the ratio between trainee's number and on-job work force, is obtained by field investigation；
The near surface operation breaks rules and regulations to occur operating number and normal behaviour against regulations during rate refers near surface structures construction Make the ratio between number, obtained by survey；
（2）The influence factor E of structures oneself state2 = {X6, X7, X8, X9, X10, X11, X12, X13}={ structures damage Rate, structures adjunct spoilage, structures maintenance cost, safety devices setting rate, extreme climate responsiveness, the event of section vehicle Barrier rate, section vehicle overload ratio, section vehicle overload ratio }, wherein：
Described structures spoilage refers to structures and damage and unspoiled ratio occurs；
Described structures adjunct spoilage refers to auxiliary construction and damage and unspoiled ratio occurs；
Described safety devices setting rate refers to the ratio that the safety protection facility set accounts for the safety protection facility that set；
Described extreme climate responsiveness refers to the monitoring index of the adverse weather conditions such as the high temperature larger to accident impact, strong wind；
Described section vehicle trouble rate shows the way the ratio between section real time fail car number and the real-time car number in section；
Described section vehicle overload ratio shows the way the ratio between section vehicle overload car number and the real-time car number in section；
Described section vehicle overload ratio shows the way the ratio between section vehicle overload car number and the real-time car number in section；
（3）The influence factor E of environment3 = {X14, X15, X16, X17, X18, X19, X20, X21}={ earthquake occurrence frequency, rainfall shadow Loudness, influence on groundwater degree, Geological Structure Effect degree, extreme climate disturbance degree, overlying Rock And Soil disturbance degree, hydrophobic draining influence Degree, mining condition disturbance degree }, wherein：
Described earthquake occurrence frequency refers to the local century-old indegree that earthquake occurs of the linear structures in goaf ground of underliing；
Described rainfall disturbance degree refers to influence degree grade classification of the rainfall to the linear structures in goaf ground that underlie；
Described influence on groundwater degree refers to influence degree grade classification of the underground water to the linear structures in goaf ground that underlie；
Described Geological Structure Effect degree refers to geological structure and the influence degree grade for the linear structures in goaf ground that underlie is drawn Point；
Described extreme climate disturbance degree refers to extreme climate and the influence degree grade for the linear structures in goaf ground that underlie is drawn Point；
Described overlying Rock And Soil disturbance degree refers to overlying Rock And Soil to influence degree for the linear structures in goaf ground that underlie etc. Level division；
Described hydrophobic draining disturbance degree refers to hydrophobic draining and the influence degree grade for the linear structures in goaf ground that underlie is drawn Point；
Described mining condition disturbance degree refers to mining condition and the influence degree grade for the linear structures in goaf ground that underlie is drawn Point；
（4）The influence factor E of management4 = {X22, X23, X24, X25, X26, X27}={ managerial competency rate, rescue input ratio, pipe Manage input ratio, administrative department's harmony, roadblock elimination factor, control validity }, wherein：
Described managerial competency rate refers to the managerial skills for the linear structures in goaf ground that underlie, and reflects the safety management of structures Hidden danger；
Described rescue input ratio refers to the actual input and demand of human, financial and material resources in disaster prevention and disaster relief Ratio；
Described management input ratio refers to the actual input of safety management and demand to the linear structures in goaf ground that underlie Ratio；
Described administrative department's harmony refers to government, public security department, traffic department, structures Construction Party, construction of coal mine square tube reason Between harmony grade classification.
Above-mentioned steps（2）The described method for establishing evaluation factor collection is：
First class index：
E = {E1, E2, E3, E4}
That is E be the first level evaluation factor collection, wherein E1, E2, E3, E4The influence factor that respectively the first level is included；
Two-level index：
E1 = {X1, X2, X3, X4, X5}
E2 = {X6, X7, X8, X9, X10, X11, X12, X13}
E3 = {X14, X15, X16, X17, X18, X19, X20, X21}
E4 = {X22, X23, X24, X25, X26, X27}
That is X1—X27For the evaluation factor of the second level, the sub- factor of the first level influence factor is contained.
Above-mentioned steps（4）Described index weights judgment matrix, is determined as follows：
（1）It is determined that the judgment matrix of each level：
Weight AiDetermination method use Analytic Hierarchy Process Model（AHP）Calculated, chosen under unified metric collection same level Index（Such as E1X in index set1, X2, X3, X4, X5Index）, the comparison between element two-by-two is carried out using 1-9 ratio degree, commented Estimate the relative importance of index, form the multilevel iudge matrix of evaluation index；
（2）Parameter weight vectors simultaneously do consistency check：
The judgment matrix obtained according to above-mentioned weight marking table, respectively with A, A1、A2、A3、A4To represent, MATLAB softwares are utilized Eigenvalue of maximum and its corresponding characteristic vector are calculated to each judgment matrix, uniformity inspection is done using random Consistency Ratio Test, if upchecking, characteristic vector is index weight value vector, needs to reconfigure judgment matrix if if not,
It is derived from the index weight value vector of the level of appraisement system first：
A =（A1, A2, A3, A4）
A1, A2, A3, A4The weight vector of each factor of respectively the first level；
A1=（a11, a12, a13, a14, a15）
A2=（a21, a22, a23, a24, a25, a26, a27）
A3=（a31, a32, a33, a34, a35, a36, a37, a38）
A4=（a41, a42, a43, a44, a45, a46）
A1, A2, A3, A4The weight vector of each factor of the second level is contained respectively.
When having N number of expert to factor xi（I=1,2 ..., n, n are factor number）When being evaluated, there is m respectivelyijIndividual expert Respectively xiIt is assessed as Vk（K=1,2,3,4,5）, and meet, then factor XiWith comment VkDegree of membership rijFor：
NoteThen there is single factor evaluation collection f（xi）For：
f（xi）=（ri1, ri2..., rim）=（）
Matrix is formed for row can obtain single factor evaluation matrix R by single factor evaluation collectioni=（f（x1）, f（x2）..., f（xn））T =（rij）n×m；
Single factor judgment matrix RiFor the second level evaluation factor collection EiComprising factor corresponding to Judgement Matrix, wherein i=1, 2,3,4.
Above-mentioned steps（5）Described Comprehensive Evaluation step is：
（1）According to two-level index weight vector A1、A2、A3、A4With single factor judgment matrix RiFirst order evaluation result is calculated BiFor：
；
（2）According to first order evaluation result Bi and first class index weight vector A, second level evaluation result B, which is calculated, is：
。
Above-mentioned steps（6）In evaluation result determine that method is：
For Comprehensive Evaluation result B=（b1, b2, b3, b4）, select maximum of which evaluation index maxbi, find out corresponding thereto The comment element V answeredkCorresponding early warning is made as evaluation result, and according to structures stability grade.
Beneficial effects of the present invention and advantage are：The present invention is targetedly established and underlied based on Systems Theory The linear structures estimation of stability index system in goaf ground, one-level evaluation index 4, two-level appraisement index 27 are determined altogether , comprehensively considering as far as possible influences each influence factor of the linear structures stability in goaf ground of underliing, and can reflect and comment The principal character and basal conditions of valency object, make evaluation result objective reality.The analytic hierarchy process (AHP) and fuzzy overall evaluation of use Forensic science is reasonable, practical, for taking precautions against and dissolving structures potential risks, ensure that the operation security of structures has product The meaning of pole.
Brief description of the drawings
Fig. 1 is the linear structures estimation of stability index model figure in goaf ground of underliing in the present invention；
Fig. 2 is the implementation process figure of the present invention.
Embodiment
Below with reference to accompanying drawing, the preferred embodiments of the present invention are described in detail；It should be appreciated that preferred embodiment Only for the explanation present invention, the protection domain being not intended to be limiting of the invention.
A kind of determination method of linear structures estimation of stability index in goaf ground of underliing provided by the invention, including Following steps：
Step 1, reference picture 1 establishes linear structures evaluation system model.
（1）Human factor, linear structures oneself state, environmental factor, management factors are evaluated as linear structures First level of system model；
（2）The influence factor that each factor is included in the first level is determined, the influence factor of wherein people includes：Operate against regulations underground Rate, physiological status, psychologic status, staff training efficiency, near surface operation rate violating the regulations；Linear structures oneself state influence factor Including：Structures spoilage, structures adjunct spoilage, structures maintenance cost, safety devices setting rate, extreme climate ring Response, section vehicle trouble rate, section vehicle overload ratio, section vehicle overload ratio；Environmental impact factor is sent out including earthquake Raw frequency, rainfall disturbance degree, influence on groundwater degree, Geological Structure Effect degree, extreme climate disturbance degree, overlying Rock And Soil influence Degree, hydrophobic draining disturbance degree, mining condition disturbance degree；Management influence factor includes：The early warning factor index bag of described management Include managerial competency rate, rescue input ratio, administrative department's harmony, roadblock elimination factor, control validity；
（3）By above-mentioned human factor, linear structures oneself state, environmental factor, each self-contained influence factor of management factors As the second level, so as to establish linear structures evaluation system model.
Reference picture 2, the ensuing specific implementation step of the present invention are as follows：
Step 2, according to evaluation model, the value of each influence factor is determined：
The premise for carrying out structures estimation of stability is the key technical index that determine to assess structures stability.Based on step 1 evaluation model established, the result of two levels totally 27 indexs is obtained by site inspection, test result, scoring etc..
Step 3, evaluation factor collection is established：
First class index：
E = {E1, E2, E3, E4}
That is E be the first level evaluation factor collection, wherein E1, E2, E3, E4The influence factor that respectively the first level is included；
Two-level index：
E1 = {X1, X2, X3, X4, X5}
E2 = {X6, X7, X8, X9, X10, X11, X12, X13}
E3 = {X14, X15, X16, X17, X18, X19, X20, X21}
E4 = {X22, X23, X24, X25, X26, X27}
That is X1—X27For the evaluation factor of the second level, the sub- factor of the first level influence factor is contained.
Step 4, evaluate collection V is determined：
The linear structures stability grade in goaf ground that will underlie is divided into dangerous, relatively hazardous, critical, safer, safety five Grade, each, which is evaluated, all regards a kind of fuzzy vector as, and evaluate collection is established as in this method
V = [v1, v2, v3, v4, v5]
The span of wherein each opinion rating is as follows：
v1：Dangerous [1,0.8]；v2：Relatively hazardous (0.8,0.6]；v3：Critical (0.6,0.4]；
v4：Safer (0.4,0.2]；v5：Safety (0.2,0].
Step 5, the index weight value vector of influence factor is determined
（1）It is determined that the judgment matrix of each level：
Weight AiDetermination method use Analytic Hierarchy Process Model（AHP）Calculated, chosen under unified metric collection same level Index（Such as E1X in index set1, X2, X3, X4, X5Index）, the comparison between element two-by-two is carried out using 1-9 ratio degree, commented Estimate the relative importance of index, form the multilevel iudge matrix of evaluation index：
Bi =
Assignment b in judgment matrixijRepresent element biFor element bjSignificance level fiducial value.
（2）Parameter weight vectors simultaneously do consistency check：
The judgment matrix obtained according to above-mentioned weight marking table, respectively with A, A1、A2、A3、A4To represent, MATLAB softwares are utilized Eigenvalue of maximum and its corresponding characteristic vector are calculated to each judgment matrix, uniformity inspection is done using random Consistency Ratio Test, if upchecking, characteristic vector is index weight value vector, needs to reconfigure judgment matrix if if not,
It is derived from the index weight value vector of the level of appraisement system first：
A =（A1, A2, A3, A4）
A1, A2, A3, A4The weight vector of each factor of respectively the first level；
A1=（a11, a12, a13, a14, a15）
A2=（a21, a22, a23, a24, a25, a26, a27）
A3=（a31, a32, a33, a34, a35, a36, a37, a38）
A4=（a41, a42, a43, a44, a45, a46）
A1, A2, A3, A4The weight vector of each factor of the second level is contained respectively.
Step 6, single factor judgment matrix R is calculatedi
When having N number of expert to factor xi（I=1,2 ..., n, n are factor number）When being evaluated, there is m respectivelyijIndividual expert's difference XiIt is assessed as Vk（K=1,2,3,4,5）, and meet, then factor XiWith comment VkDegree of membership rijFor：
NoteThen there is single factor evaluation collection f（xi）For：
f（xi）=（ri1, ri2..., rim）=（）
Matrix is formed for row can obtain single factor evaluation matrix R by single factor evaluation collectioni=（f（x1）, f（x2）..., f（xn））T =（rij）n×m, i.e.,
Single factor judgment matrix RiFor the second level evaluation factor collection EiComprising factor corresponding to Judgement Matrix, wherein i=1, 2,3,4.
Step 7, Comprehensive Evaluation is carried out, is carried out as follows：
（1）According to two-level index weight vector A1、A2、A3、A4With single factor judgment matrix RiFirst order evaluation result is calculated BiFor：
；
（2）According to first order evaluation result Bi and first class index weight vector A, second level evaluation result B, which is calculated, is：
。
Step 8, evaluation result is obtained, and makes corresponding early warning：
According to maximum subjection principle, for Comprehensive Evaluation result B=（b1, b2, b3, b4）, select maximum of which evaluation index maxbi, find out comment element V corresponding theretokMade accordingly in advance as evaluation result, and according to structures stability grade It is alert.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, those skilled in the art can To carry out various changes and modification to the present invention without departing from the spirit and scope of the present invention.If these modifications and change of the present invention Type belongs within the scope of the claims in the present invention and its equivalent technologies, then the present invention is also intended to exist comprising these changes and modification It is interior.

Claims (7)

1. a kind of determination method of the linear structures estimation of stability index in goaf ground of underliing, its feature with：Including such as Lower step：
（1）Establish linear structures evaluation system model, be divided into two levels, by human factor, linear structures oneself state, Environmental factor, management factors are as the first level；Using each influence factor is as the second level in terms of aforementioned four, wherein people Influence factor includes：Underground operate against regulations rate, physiological status, psychologic status, staff training efficiency, near surface operation break rules and regulations rate； Linear structures oneself state influence factor includes：Structures spoilage, structures adjunct spoilage, structures maintenance cost With, safety devices setting rate, extreme climate responsiveness, section vehicle trouble rate, section vehicle overload ratio, section vehicle overload Ratio；Environmental impact factor includes earthquake occurrence frequency, rainfall disturbance degree, influence on groundwater degree, Geological Structure Effect degree, exception Climatic effect degree, overlying Rock And Soil disturbance degree, hydrophobic draining disturbance degree, mining condition disturbance degree；Management influence factor includes：Institute The early warning factor index for the management stated include managerial competency rate, rescue input ratio, administrative department's harmony, roadblock elimination factor, Control validity；
（2）Evaluation factor collection E is established according to the value of each influence factor in evaluation system model；
（3）Comment gathers V is established, for evaluating the stability grade for the linear structures in goaf ground that underlie：V = {V1, V2, V3, V4, V5}={ is dangerous, relatively hazardous, critical, safer, safety }；
（4）The weight for obtaining influence factor, its first level weight judgment matrix weight sets A tables are calculated using analytic hierarchy process (AHP) Show, the second level weight judgment matrix uses weight sets A respectively1、A2、A3、A4Represent；
（5）Calculate single factor judgment matrix Ri, and evaluation result is obtained by Comprehensive Evaluation；According to the second level weight sets A1、 A2、A3、A4With single factor judgment matrix RiThe first level evaluation result B is calculatedi；Further according to the first level evaluation result BiWith Comprehensive Evaluation result B is calculated in first level weight sets A；
（6）According to maximum membership grade principle, when the comprehensive evaluation value calculated is in some section, then can visual representation underlie The stability status of the linear structures in goaf ground, and early warning is sent accordingly.
A kind of 2. determination side of linear structures estimation of stability index in goaf ground of underliing according to claim 1 Method, its feature with：Wherein step（1）The influence factor of described people, the influence factor of structures oneself state, the shadow of environment The factor of sound, the influence factor index of management include following content respectively：
（1）The influence factor E of people1 = {X1, X2, X3, X4, X5}={, underground operated against regulations rate, physiological status, psychologic status, people Member's training efficiency, near surface operation are broken rules and regulations rate }, wherein：
The underground rate of operating against regulations refer to working face in the pit personnel not according to the required coal-mining method of design, production practice, adopt Dead zone administration way working seam, so as to cause surface movement and deformation larger, is obtained by survey；
The physiological status refers to the health situation of staff, belongs to auxiliary warning index, is tied by site inspection, test Fruit, scoring obtain；
The psychologic status refers to the psychological condition of staff, belongs to auxiliary warning index, by site inspection, test result, Scoring obtains；
The staff training efficiency refers to the ratio between trainee's number and on-job work force, is obtained by field investigation；
The near surface operation breaks rules and regulations to occur operating number and normal behaviour against regulations during rate refers near surface structures construction Make the ratio between number, obtained by survey；
（2）The influence factor E of structures oneself state2 = {X6, X7, X8, X9, X10, X11, X12, X13}={ structures spoilage, Structures adjunct spoilage, structures maintenance cost, safety devices setting rate, extreme climate responsiveness, section vehicle trouble Rate, section vehicle overload ratio, section vehicle overload ratio }, wherein：
Described structures spoilage refers to structures and damage and unspoiled ratio occurs；
Described structures adjunct spoilage refers to auxiliary construction and damage and unspoiled ratio occurs；
Described safety devices setting rate refers to the ratio that the safety protection facility set accounts for the safety protection facility that set；
Described extreme climate responsiveness refers to the monitoring index of the adverse weather conditions such as the high temperature larger to accident impact, strong wind；
Described section vehicle trouble rate shows the way the ratio between section real time fail car number and the real-time car number in section；
Described section vehicle overload ratio shows the way the ratio between section vehicle overload car number and the real-time car number in section；
Described section vehicle overload ratio shows the way the ratio between section vehicle overload car number and the real-time car number in section；
（3）The influence factor E of environment3 = {X14, X15, X16, X17, X18, X19, X20, X21}={ earthquake occurrence frequency, rainfall shadow Loudness, influence on groundwater degree, Geological Structure Effect degree, extreme climate disturbance degree, overlying Rock And Soil disturbance degree, hydrophobic draining influence Degree, mining condition disturbance degree }, wherein：
Described earthquake occurrence frequency refers to the local century-old indegree that earthquake occurs of the linear structures in goaf ground of underliing；
Described rainfall disturbance degree refers to influence degree grade classification of the rainfall to the linear structures in goaf ground that underlie；
Described influence on groundwater degree refers to influence degree grade classification of the underground water to the linear structures in goaf ground that underlie；
Described Geological Structure Effect degree refers to geological structure and the influence degree grade for the linear structures in goaf ground that underlie is drawn Point；
Described extreme climate disturbance degree refers to extreme climate and the influence degree grade for the linear structures in goaf ground that underlie is drawn Point；
Described overlying Rock And Soil disturbance degree refers to overlying Rock And Soil to influence degree for the linear structures in goaf ground that underlie etc. Level division；
Described hydrophobic draining disturbance degree refers to hydrophobic draining and the influence degree grade for the linear structures in goaf ground that underlie is drawn Point；
Described mining condition disturbance degree refers to mining condition and the influence degree grade for the linear structures in goaf ground that underlie is drawn Point；
（4）The influence factor E of management4 = {X22, X23, X24, X25, X26, X27}={ managerial competency rate, rescue input ratio, pipe Manage input ratio, administrative department's harmony, roadblock elimination factor, control validity }, wherein：
Described managerial competency rate refers to the managerial skills for the linear structures in goaf ground that underlie, and reflects the safety management of structures Hidden danger；
Described rescue input ratio refers to the actual input and demand of human, financial and material resources in disaster prevention and disaster relief Ratio；
Described management input ratio refers to the actual input of safety management and demand to the linear structures in goaf ground that underlie Ratio；
Described administrative department's harmony refers to government, public security department, traffic department, structures Construction Party, construction of coal mine square tube reason Between harmony grade classification.
A kind of 3. determination side of linear structures estimation of stability index in goaf ground of underliing according to claim 1 Method, its feature with：Wherein step（2）The described method for establishing evaluation factor collection is：
First class index：
E = {E1, E2, E3, E4}
That is E be the first level evaluation factor collection, wherein E1, E2, E3, E4The influence factor that respectively the first level is included；
Two-level index：
E1 = {X1, X2, X3, X4, X5}
E2 = {X6, X7, X8, X9, X10, X11, X12, X13}
E3 = {X14, X15, X16, X17, X18, X19, X20, X21}
E4 = {X22, X23, X24, X25, X26, X27}
That is X1—X27For the evaluation factor of the second level, the sub- factor of the first level influence factor is contained.
A kind of 4. determination side of linear structures estimation of stability index in goaf ground of underliing according to claim 1 Method, its feature with：Wherein step（4）Described index weights judgment matrix, is determined as follows：
（1）It is determined that the judgment matrix of each level：
Weight AiDetermination method use Analytic Hierarchy Process Model（AHP）Calculated, choose the finger under unified metric collection same level Mark（Such as E1X in index set1, X2, X3, X4, X5Index）, the comparison between element two-by-two is carried out using 1-9 ratio degree, assessed The relative importance of index, form the multilevel iudge matrix of evaluation index；
（2）Parameter weight vectors simultaneously do consistency check：
The judgment matrix obtained according to above-mentioned weight marking table, respectively with A, A1、A2、A3、A4To represent, MATLAB softwares pair are utilized Each judgment matrix calculates eigenvalue of maximum and its corresponding characteristic vector, and consistency check is done using random Consistency Ratio, If upchecking, characteristic vector is index weight value vector, needs to reconfigure judgment matrix if if not, is derived from commenting The index weight value vector of the level of valency system first：
A =（A1, A2, A3, A4）
A1, A2, A3, A4The weight vector of each factor of respectively the first level；
A1=（a11, a12, a13, a14, a15）
A2=（a21, a22, a23, a24, a25, a26, a27）
A3=（a31, a32, a33, a34, a35, a36, a37, a38）
A4=（a41, a42, a43, a44, a45, a46）
A1, A2, A3, A4The weight vector of each factor of the second level is contained respectively.
A kind of 5. determination side of linear structures estimation of stability index in goaf ground of underliing according to claim 1 Method, its feature with：Wherein step（5）Described single factor judgment matrix Ri, calculate as follows：
Judgement Matrix RiBy way of expert estimation, it is converted to by expert opinion collection；
When having N number of expert to factor xi（I=1,2 ..., n, n are factor number）When being evaluated, there is mijIndividual expert is respectively xiComment It is set to Vk（K=1,2,3,4,5）, and meet, then factor xiWith comment VkDegree of membership rijFor：
NoteThen there is single factor evaluation collection f（xi）For：
f（xi）=（ri1, ri2..., rim）=（）
Matrix is formed for row can obtain single factor evaluation matrix R by single factor evaluation collectioni=（f（x1）, f（x2）..., f（xn））T= （rij）n×m；
Single factor judgment matrix RiFor the second level evaluation factor collection EiComprising factor corresponding to Judgement Matrix, wherein i=1, 2,3,4.
A kind of 6. determination side of linear structures estimation of stability index in goaf ground of underliing according to claim 1 Method, its feature with：Wherein step（5）Described Comprehensive Evaluation step is：
（1）According to two-level index weight vector A1、A2、A3、A4With single factor judgment matrix RiFirst order evaluation result is calculated BiFor：
；
（2）According to first order evaluation result Bi and first class index weight vector A, second level evaluation result B, which is calculated, is：
。
A kind of 7. determination side of linear structures estimation of stability index in goaf ground of underliing according to claim 1 Method, its feature with：The step（6）In evaluation result determine that method is：
For Comprehensive Evaluation result B=（b1, b2, b3, b4）, select maximum of which evaluation index maxbi, find out corresponding thereto The comment element V answeredkCorresponding early warning is made as evaluation result, and according to structures stability grade.
CN201610387033.5A 2016-06-03 2016-06-03 A kind of determination method of the linear structures estimation of stability index in goaf ground of underliing Pending CN107463718A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110986873A (en) * 2019-11-30 2020-04-10 西南交通大学 Method for acquiring early warning index of service state of high-speed railway engineering
CN113344403A (en) * 2021-06-18 2021-09-03 安徽理工大学 Stability evaluation method for goaf construction site
CN114065525A (en) * 2021-11-18 2022-02-18 中国地质大学（北京） Multi-coal-seam goaf overlying strata long-term deformation prediction method and device

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110986873A (en) * 2019-11-30 2020-04-10 西南交通大学 Method for acquiring early warning index of service state of high-speed railway engineering
CN110986873B (en) * 2019-11-30 2022-02-08 西南交通大学 Method for acquiring early warning index of service state of high-speed railway engineering
CN113344403A (en) * 2021-06-18 2021-09-03 安徽理工大学 Stability evaluation method for goaf construction site
CN113344403B (en) * 2021-06-18 2023-06-27 安徽理工大学 Stability evaluation method for goaf construction site
CN114065525A (en) * 2021-11-18 2022-02-18 中国地质大学（北京） Multi-coal-seam goaf overlying strata long-term deformation prediction method and device
CN114065525B (en) * 2021-11-18 2022-05-17 中国地质大学（北京） Multi-coal-seam goaf overlying strata long-term deformation prediction method and device

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