CN110378551A - A kind of vcehicular tunnel facility military service method of evaluating performance based on big data - Google Patents
A kind of vcehicular tunnel facility military service method of evaluating performance based on big data Download PDFInfo
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Abstract
A kind of vcehicular tunnel military service method of evaluating performance based on big data, influence and restriction according to Highway Tunnel Construction each construction period to tunnel operation safety construct vcehicular tunnel facility military service Evaluating Models, evaluation index;It proposes a kind of vcehicular tunnel facility military service method of evaluating performance of hierarchical structure+Fuzzy Calculation according to evaluation model, the weight of each evaluation index has been determined;Related data sample database is established according to subject evaluation index value to be evaluated, relevant calculation parameter is determined by sample data, metrics evaluation values at different levels are obtained by Fuzzy Calculation, to realize the evaluation to vcehicular tunnel facility military service performance.The evaluation method can obtain reliable evaluation result according to the analysis to big figureofmerit sample data, realize the theoretical prediction to vcehicular tunnel facility military service performance.
Description
Technical field
The invention belongs to Highway Tunnel Construction and city underground field of engineering technology.Rank is respectively built according to Highway Tunnel Construction
Influence and restriction of the section to tunnel operation safety, construct vcehicular tunnel facility military service Evaluating Models, evaluation index;According to
A kind of vcehicular tunnel facility military service method of evaluating performance of hierarchical structure+Fuzzy Calculation is proposed according to evaluation model, has been determined respectively
The weight of evaluation index;Related data sample database is established according to subject evaluation index value to be evaluated, correlometer is determined by sample data
Parameter is calculated, metrics evaluation values at different levels are obtained by Fuzzy Calculation, to realize the evaluation to vcehicular tunnel facility military service performance.It should
Evaluation method can obtain reliable evaluation result according to the analysis to big figureofmerit sample data, realize and take to vcehicular tunnel facility
Use as a servant the theoretical prediction of performance.
Background technique
Currently, special testing result of the vcehicular tunnel facility military service performance evaluation mostly foundation to entity Tunnel Engineering, usually
Cause that the project implementation is costly, the period is long.With the fast development of big data technology, can be realized using big data technology to sample
The high accuracy analysis of data, meanwhile, the acquisition to Massive Sample data can also be realized, by a large amount of Tunnel Engineering military service performances
Sample data acquisition can realize the prediction point to special detection Highway Tunnel Construction military service performance is not done by building evaluation model
Analysis.It has been recognised by the inventors that by the way that big data technology in such a way that tunnel facility military service Evaluating Models combine, is solved highway
The forecasting problem of tunnel basis facility military service performance, saves unnecessary engineering detecting.Therefore, the present inventor completes this hair
It is bright.
Summary of the invention
Influence and restriction according to Highway Tunnel Construction each construction period to tunnel operation safety, construct vcehicular tunnel
Facility military service Evaluating Models, evaluation index;A kind of highway tunnel of hierarchical structure+Fuzzy Calculation is proposed according to evaluation model
Facility military service method of evaluating performance in road has determined the weight of each evaluation index;It is established according to subject evaluation index value to be evaluated related
Data sample library determines relevant calculation parameter by sample data, metrics evaluation values at different levels is obtained by Fuzzy Calculation, to realize
Evaluation to vcehicular tunnel facility military service performance.The evaluation method can obtain reliable according to the analysis to big figureofmerit sample data
Evaluation result, realize theoretical prediction to vcehicular tunnel facility military service performance.
Technical solution of the present invention is as follows:
Vcehicular tunnel facility military service method of evaluating performance based on big data, which is characterized in that construct and cover engineering and survey
It examines, the two-stage model of fuzzy synthetic evaluation of engineering design and engineering construction three classes evaluation index.
The engineering investigation, engineering design and engineering construction are level-one evaluation index.
The engineering investigation class evaluation index include: formation lithology, geological structure, unfavorable geology, special rock, underground water and
6 evaluation indexes of climate characteristic.
The Engineering Design evaluation index includes: length of tunnel, lane quantity and two lining concrete and pavement structure class
4 evaluation indexes of type.
The engineering construction class evaluation index includes: construction quality, disaster accident and sand type, 3 evaluation indexes.
The formation lithology, geological structure, unfavorable geology, special rock, underground water and climate characteristic, length of tunnel, lane
Quantity and two lining concrete and Pavement Structure, construction quality, disaster accident and sand type, 13 evaluation indexes are second level
Evaluation index.
Evaluation indexes at different levels determine the weight of evaluation indexes at different levels according to comparison two-by-two.
The weight of the engineering investigation, engineering design and engineering construction three is respectively as follows: 0.438 0.239 0.323
The engineering investigation class formation lithology, geological structure, unfavorable geology, special rock, underground water and climate characteristic 6 comment
The weight of valence index is respectively 0.17 0.13 0.17 0.17 0.23 0.13:.
The Engineering Design length of tunnel, lane quantity and two lining 4 evaluation indexes of concrete and Pavement Structure
Weight be respectively 0.3 0.2 0.3 0.2.
The engineering construction class construction quality, disaster accident and sand type, the weight of 3 evaluation indexes are respectively
0.365 0.365 0.27。
According to Tunnel Engineering evaluation index value to be evaluated, two-level appraisement index value database is established;It is supported according to vcehicular tunnel
Technical specification is protected, each tunnel evaluation index sample is divided into five grades according to tunnel technology of facilities status assessment standard,
Each engineering technology situation membership function depends on sample statistics situation.
The evaluation index database include: formation lithology database, geological structure database, unfavorable geology database,
Special rock database, underground water database and weather property data base, length of tunnel database, lane quantity database and two linings
Concrete database and Pavement Structure database, construction quality database, disaster accident database and sand categorical data
Library.
Each engineering technology situation membership function depends on sample statistics situation, and degrees of membership at different levels are sample numbers at different levels
The ratio of amount and database.
To the score value of imparting respectively 1 of each grade, 2,3,4,5, Fuzzy Calculation is carried out to score value and degree of membership, can get evaluation
The Fuzzy comprehensive evalution of index.
The Fuzzy Calculation of the score value and degree of membership can be stated are as follows:
In formula:Fuzzy comprehensive evalution
The degree of membership that engineering technology situation grade is 1/2/3/4/5
I: all kinds of level-one evaluation indexes are indicated
J: all kinds of two-level appraisement indexs are indicated
It is comprehensive that obscuring for each level-one evaluation index of acquisition can be calculated by two-level index Fuzzy comprehensive evalution and each index weights
Close evaluation of estimate.
The Fuzzy comprehensive evalution with each two-level appraisement index is row, that is, is constituted each under the type index subjet
The matrix of the single factor test Fuzzy comprehensive evalution of evaluation index:
In formula: i K, J, S, j 1/2/3/4/5/6.
The weight of two-level index under each first class index collection, can obtain weight vectors:
In formula: i K, J, S, j 1/2/3/4/5/6.
The matrix of the single factor test Fuzzy comprehensive evalution by two-level appraisement index each in every first class index and each index
Between weight vectors, obtain the Fuzzy comprehensive evalution of each level-one evaluation index:
In formula: QiFirst class index concentrates the Fuzzy comprehensive evalution of each evaluation index.
By the first class index Fuzzy comprehensive evalution and each index weights obtained, it can calculate and obtain tunnel facility military service performance
Fuzzy comprehensive evalution.
It is described to concentrate the Fuzzy comprehensive evalution of each evaluation index for row with first class index, form the Dan Yin of first class index collection
The matrix of plain Fuzzy comprehensive evalution:
PG=(QK QJ QS)T
The weight by level-one evaluation index, obtains weight vectors:
ωG=(ωK ωJ ωS)
The single factor evaluation matrix and weight vectors according to first class index collection, using following model of fuzzy synthetic evaluation
Obtain the Fuzzy comprehensive evalution of facility military service performance in tunnel to be evaluated:
Q=ωGPG
In formula: ωGThe weight vectors of-index of classification collection;
PGThe matrix of-index of classification collection single factor test Fuzzy comprehensive evalution;
Q-tunnel facility military service performance Fuzzy comprehensive evalution.
According to the Fuzzy comprehensive evalution range of tunnel facility military service performance, establishes and determine tunnel facility military service performance etc.
Grade.
The Fuzzy comprehensive evalution of the tunnel facility military service performance and tunnel facility military service performance rate relationship such as table institute
Column.
Tunnel facility military service performance evaluation grade quantitatively divides
Military service performance rate | Military service performance condition | Fuzzy comprehensive evalution Q | |
1 class | It is intact | 1.5 >=Q > 1.0 | |
2 classes | Well | 2.5 >=Q > 1.5 | |
3 classes | It is qualified | 3.5 >=Q > 2.5 | |
4 classes | Difference | 4.5 >=Q > 3.5 | |
5 classes | It is very poor | Q > 4.5 |
Detailed description of the invention
Fig. 1 is vcehicular tunnel facility military service train diagram adjusting and evaluation model.
Appended drawing reference list following engineering investigation, engineering design, engineering construction be level-one evaluation index;
Engineering investigation is divided into: formation lithology, geological structure, unfavorable geology, Special Rock, underground water and climate characteristic 6
Two-level index;
Engineering design is divided into: length of tunnel, lane quantity, two lining 4 two-level index of concrete and Pavement Structure;
Engineering construction is divided into: 3 construction quality, disaster accident and sand type two-level index.
Specific embodiment
With reference to the accompanying drawing (Fig. 1) the present invention will be described.
Level according to figure 1 and index system determine the index set of each level respectively.
The first class index collection is as follows
Gi={ G1,G2,G3}
In formula: G1- engineering investigation;G2- engineering design;G3- engineering construction.
The two-level index collection
Engineering investigation: G1={K1, K2, K3, K4, K5, K6}
Engineering design: G2={ J1, J2, J3, J4}
Engineering construction: G3={ S1, S2, S3}
In formula: K1- formation lithology;K2- geological structure;K3- unfavorable geology;K4- Special Rock;K5- underground water;
K6- climate characteristic.J1- length of tunnel;J2- lane quantity;J3- bis- lining concrete;J4- Pavement Structure.S1- construction
Quality;S2- disaster accident;S3- sand type.
The determination of the tunnel military service Performance Evaluating Indexes weight
(1) two-level index collection weight
1. engineering investigation
Engineering investigation amounts to 6 indexs, is formation lithology (K respectively1), geological structure (K2), unfavorable geology (K3), it is special
Rock (K4), underground water (K5) and climate characteristic (K6), the scale weight ratio of 6 indexs are as follows:
2. engineering design
Four evaluation indexes of engineering design are respectively as follows: length of tunnel (J1), lane quantity (J2) and two lining concrete (J3)
With Pavement Structure (J4).The scale weight of 4 evaluation indexes is
3. 3 indexs of engineering construction
Engineering construction class evaluation index includes construction quality (S1), disaster accident (S2), sand type (S3) three indexs, 3
The scale weight of a index is
(2) determination of each index weights of detection project layer
Vcehicular tunnel facility military service performance evaluation includes three index of classification, respectively engineering investigation (K), engineering design
(J) and engineering construction (S).The scale weight of 3 index of classification is
(ωK ωJ ωS)=(0.438 0.239 0.323)
The model of fuzzy synthetic evaluation of the vcehicular tunnel facility service state
(1) process evaluated
1) evaluation indice is established
First class index collection, two-level index collection are established according to Fig. 1 vcehicular tunnel facility military service train diagram adjusting;According to be evaluated
Tunnel Engineering two-level appraisement index value chooses the sample data established and meet evaluation index value.
2) disease class set is established
Each tunnel evaluation index is divided into five grades according to tunnel technology of facilities status assessment standard:
V={ v1, v2, v3, v4, v5}
In formula: v1、v2、v3、v4、v5Respectively indicating Tunnel Engineering technology status grade is 1 class, 2 classes, 3 classes, 4 classes, 5 classes;And
Score value 1,2,3,4,5 is assigned respectively.
3) membership function is established
According to big data statistical analysis technique, in tunnel military service performance evaluation two-level index concentrate each evaluation index relative to
The membership function of all kinds of engineering technology situations is derived from the sample data of acquisition, and all kinds of to be subordinate to number form formula as follows:
In formula: n=1 class, 2 classes, 3 classes, 4 classes, 5 classes are five engineering technology situation grades;
CijFor each evaluation index of bottom index set;
N is the sample size for meeting evaluation index value;
MnThe sample size for being n for Tunnel Engineering technology status grade.
4) fuzzy overall evaluation of each index of two-level index collection
1. according to sample database to the statistical analysis of evaluation index, obtain two-level appraisement index its for each engineering technology
The Membership Vestor of situation grade:
In formula: i K, J, S, j 1/2/3/4/5/6.
2. Membership Vestor uniformization.According to the assignment situation of each engineering technology situation grade, then each evaluation index is fuzzy
Comprehensive evaluation value is calculated as follows:
3. being row with the Fuzzy comprehensive evalution of each two-level appraisement index, that is, constitutes and respectively commented under the first class index project
The matrix of the single factor test Fuzzy comprehensive evalution of valence index:
In formula: i K, J, S, j 1/2/3/4/5/6.
4. determining the weight of two-level index under each first class index collection, weight vectors are obtained:
In formula: i K, J, S, j 1/2/3/4/5/6.
5. matrix and each index by the single factor test Fuzzy comprehensive evalution of two-level appraisement index each in each first class index
Between weight vectors, obtain the Fuzzy comprehensive evalution of each level-one evaluation index with following model of fuzzy synthetic evaluation:
In formula: QiFirst class index concentrates the Fuzzy comprehensive evalution of each evaluation index.
5) fuzzy overall evaluation of tunnel facility military service performance
1. concentrating the Fuzzy comprehensive evalution of each evaluation index for row with first class index, the Dan Yin of the type index set is formed
The matrix of plain Fuzzy comprehensive evalution:
PG=(QK QJ QS)T
2. determining that first class index concentrates the weight of each evaluation index, weight vectors are obtained:
ωG=(ωK ωJ ωS)
3. can be obtained with following model of fuzzy synthetic evaluation according to the single factor evaluation matrix and weight vectors of first class index collection
To the Fuzzy comprehensive evalution of facility military service performance in tunnel to be evaluated:
Q=ωGPG
In formula: ωGThe weight vectors of-first class index collection;
PGThe matrix of-first class index collection single factor test Fuzzy comprehensive evalution;
Q-vcehicular tunnel facility military service Fuzzy Synthetic Evaluation for Performance value.
6) judgement of vcehicular tunnel facility military service performance synthesis opinion rating
The evaluation of vcehicular tunnel facility military service performance synthesis, the grade classification of base data values is according to highway tunnel maintenance
Tunnel Engineering condition state is classified in technical specification and is developed, therefore, obtained vcehicular tunnel infrastructure is on active service
The evaluation of performance according to it to provide to carry out quantification division, opinion rating such as table 1.
1 tunnel facility military service performance evaluation grade of table quantitatively divides
Military service performance rate | Military service performance condition | Fuzzy comprehensive evalution Q | |
1 class | It is intact | 1.5 >=Q > 1.0 | |
2 classes | Well | 2.5 >=Q > 1.5 | |
3 classes | It is qualified | 3.5 >=Q > 2.5 | |
4 classes | Difference | 4.5 >=Q > 3.5 | |
5 classes | It is very poor | Q > 4.5 |
It is hereby stated that described above facilitate those skilled in the art understand that the invention, but not limit the present invention
The protection scope of creation.Any equivalent replacement described above, modification are improved without disengaging the invention substantive content
And/or delete numerous conform to the principle of simplicity and the implementation that carries out, each fall within the protection scope of the invention.
Claims (6)
1. a kind of vcehicular tunnel military service method of evaluating performance based on big data, which is characterized in that construct cover engineering investigation,
The two-stage model of fuzzy synthetic evaluation of engineering design and engineering construction three classes evaluation index.
2. a kind of vcehicular tunnel military service method of evaluating performance based on big data according to claim 1, which is characterized in that institute
Stating engineering investigation, engineering design and engineering construction is level-one evaluation index;The formation lithology, geological structure, unfavorable geology, spy
Different rock, underground water and climate characteristic, length of tunnel, lane quantity and two lining concrete and Pavement Structure, construction quality, calamity
Evil accident and sand type, 13 evaluation indexes are two-level appraisement index.
3. a kind of vcehicular tunnel military service method of evaluating performance based on big data according to claim 2, which is characterized in that each
Grade evaluation index determines the weight of evaluation indexes at different levels according to comparison two-by-two.
4. a kind of vcehicular tunnel military service method of evaluating performance based on big data according to claim 2, which is characterized in that according to
According to Tunnel Engineering evaluation index value to be evaluated, two-level appraisement index value database is established;According to highway tunnel maintenance technical specification,
Each tunnel evaluation index sample is divided into five grades, each engineering technology shape according to tunnel technology of facilities status assessment standard
Condition membership function depends on sample statistics situation;Each engineering technology situation membership function depends on sample statistics shape
Condition, degrees of membership at different levels are the ratio of sample sizes at different levels and database.
5. a kind of vcehicular tunnel military service method of evaluating performance based on big data according to claim 4, which is characterized in that by
Two-level index Fuzzy comprehensive evalution and each index weights can calculate the Fuzzy comprehensive evalution for obtaining each level-one evaluation index;By
The first class index Fuzzy comprehensive evalution and each index weights of acquisition, can calculate the fuzzy synthesis for obtaining tunnel facility military service performance
Evaluation of estimate.
6. a kind of vcehicular tunnel military service method of evaluating performance based on big data according to claim 5, which is characterized in that root
According to the Fuzzy comprehensive evalution range of tunnel facility military service performance, establishes and determine tunnel facility military service performance rate.
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CN111101980A (en) * | 2019-10-30 | 2020-05-05 | 交通运输部公路科学研究所 | Equivalent evaluation method for bearing capacity of tunnel lining structure |
CN111639837A (en) * | 2020-04-30 | 2020-09-08 | 同济大学 | Road network service performance evaluation method and device, storage medium and terminal |
CN112418645A (en) * | 2020-11-18 | 2021-02-26 | 云南航天工程物探检测股份有限公司 | Tunnel engineering full life cycle safety evaluation method |
CN114066183A (en) * | 2021-11-02 | 2022-02-18 | 山东康威大数据科技有限公司 | Tunnel monitoring system based on big data analysis |
CN115545561A (en) * | 2022-11-09 | 2022-12-30 | 交通运输部公路科学研究所 | Safe and reliable service risk assessment method for highway tunnel facility |
CN117217562A (en) * | 2023-11-09 | 2023-12-12 | 交通运输部公路科学研究所 | Structural safety evaluation method and system after tunnel water flooding-drainage |
CN117875796A (en) * | 2024-03-12 | 2024-04-12 | 交通运输部公路科学研究所 | Highway tunnel maintenance level evaluation method |
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Cited By (11)
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CN111101980A (en) * | 2019-10-30 | 2020-05-05 | 交通运输部公路科学研究所 | Equivalent evaluation method for bearing capacity of tunnel lining structure |
CN111639837A (en) * | 2020-04-30 | 2020-09-08 | 同济大学 | Road network service performance evaluation method and device, storage medium and terminal |
CN111639837B (en) * | 2020-04-30 | 2023-02-10 | 同济大学 | Road network service performance evaluation method and device, storage medium and terminal |
CN112418645A (en) * | 2020-11-18 | 2021-02-26 | 云南航天工程物探检测股份有限公司 | Tunnel engineering full life cycle safety evaluation method |
CN112418645B (en) * | 2020-11-18 | 2024-02-02 | 云南航天工程物探检测股份有限公司 | Tunnel engineering full life cycle safety evaluation method |
CN114066183A (en) * | 2021-11-02 | 2022-02-18 | 山东康威大数据科技有限公司 | Tunnel monitoring system based on big data analysis |
CN115545561A (en) * | 2022-11-09 | 2022-12-30 | 交通运输部公路科学研究所 | Safe and reliable service risk assessment method for highway tunnel facility |
CN117217562A (en) * | 2023-11-09 | 2023-12-12 | 交通运输部公路科学研究所 | Structural safety evaluation method and system after tunnel water flooding-drainage |
CN117217562B (en) * | 2023-11-09 | 2024-01-23 | 交通运输部公路科学研究所 | Structural safety evaluation method and system after tunnel water flooding-drainage |
CN117875796A (en) * | 2024-03-12 | 2024-04-12 | 交通运输部公路科学研究所 | Highway tunnel maintenance level evaluation method |
CN117875796B (en) * | 2024-03-12 | 2024-05-07 | 交通运输部公路科学研究所 | Highway tunnel maintenance level evaluation method |
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