CN101872382A - A dynamic detection method for road tunnel operation safety status - Google Patents

Abstract

The invention relates to a method for dynamic detection of road tunnel operation safety conditions, which includes constructing a road tunnel operation safety detection index database; setting corresponding standard values for detection indexes; and establishing dynamic detection according to road tunnel operation safety detection indexes and corresponding standard values model, and use the model to detect; analyze and process the detection results. Compared with the prior art, the present invention can reveal the safety and unimpededness of the tunnel operation status in each time period, find out the main risk factors of the tunnel operation safety status, and accordingly propose corresponding countermeasures and related resources and equipment Optimize the management plan to ensure the safe operation of the tunnel.

Description

A kind of dynamic detection method of operation safety condition of road tunnel

Technical field

The present invention relates to the Road Tunnel Safety technology, particularly relate to a kind of dynamic detection method of operation safety condition of road tunnel.

Background technology

Vcehicular tunnel is as critical circuits on the traffic route and controlled node, and when making huge contribution to traffic transport industry, the frequent all kinds of security risk accidents that take place have also caused huge negative, economic loss and casualties to society.Therefore, how to avoid the generation of great security risk accident in the vcehicular tunnel to become focal issue.By Literature Consult as can be known, security study major part about the tunnel concentrates on the safety for tunnel engineering aspect at present, the security study of runing the phase at the tunnel is also less relatively, and mainly concentrates on the following aspects: the security study etc. of driving a vehicle in the fire-fighting fire safety evaluating research of tunnel operation phase, evacuating personnel research, flow of flue gas distribution, take precautions against natural calamities technical safety measures research, the tunnel.Research about tunnel operation security assessment technique also is in the starting stage.At present, Europe is being on the forefront aspect the safety evaluation of vcehicular tunnel, and its research mainly contains the European intelligent transportation council with application device and is responsible for the EuroTest of specialized agency that existing European vcehicular tunnel degree of risk and security performance are checked and estimated.About the appraisal procedure of vcehicular tunnel operation security, its achievement in research mainly contains the comprehensive and quantitative risk analysis method etc. of the probability analysis method (or claiming quantitative risk analysis method QRA) that proposed in 2003 of Evaluation Method, S.N.Jonkman and deterministic parsing method (or scene analysis SA), Austrian scholar proposition in 2006 respectively of security risk in the tunnel that Euro TAP (European Tunnel Assessment Program) proposes.China mainly estimates respectively from ventilation, illumination, 3 aspects of fire-fighting for the operation security of vcehicular tunnel at present.As the Wang Mingnian of Southwest Jiaotong University professor, the Xia Yongchang of Chang An University professor, Chongqing Traffic Science Research ﹠ Design Inst Han Zhi researcher etc. aspects such as the rule of development of fire, fire detecting method are studied the operation security in tunnel, but all there is not systematicness to propose index system and method (HAN, 2008) that tunnel safety is estimated.

Be not difficult to find that existing more research is mainly unilaterally studied vcehicular tunnel operation security characteristic from ventilation, illumination, evacuating personnel, the safety technique of taking precautions against natural calamities etc., lacks systematicness and level by above-mentioned analysis and research; In addition, the evaluation at the overall safety state of vcehicular tunnel at present also only limits at the different times in tunnel the every index that influences the tunnel operation security be passed judgment on, be similar to the form of irregular safety inspection, can not provide the safety case of tunnel under different operation states timely and effectively.For this reason, set up the dynamic security evaluation method and the evaluation model that are fit to the vcehicular tunnel characteristics and will become an effective means that improves tunnel operation security management performance.

Summary of the invention

Technical matters to be solved by this invention is exactly to provide a kind of dynamic detection method of operation safety condition of road tunnel for the defective that overcomes above-mentioned prior art existence.

Purpose of the present invention can be achieved through the following technical solutions: a kind of dynamic detection method of operation safety condition of road tunnel, it is characterized in that, and may further comprise the steps:

A. make up the vcehicular tunnel operation security and detect the achievement data storehouse;

B. for detecting index corresponding standard value is set;

C. detect index and corresponding standard value thereof according to the vcehicular tunnel operation security, set up the detection of dynamic model, and detect by this model;

D. testing result is carried out analyzing and processing.

Described vcehicular tunnel operation security detects the specific targets that index comprises main factor index and corresponding main factor index, described main factor index comprises the tunnel health degree, the equipment completeness, traffic characteristics, the operating environment traffic safety and riding comfort, operation management performance and disaster index, described specific targets comprise the lining cutting crack of corresponding tunnel health degree, percolating water, lining cutting material deterioration, lining cutting is the cavity behind, lining deformation moves sedimentation and the lining cutting aliquation peels off, the complete degree of operation infrastructure device of corresponding device completeness, operation infrastructure device serviceability rate, the complete degree of safety monitoring equipment, the safety monitoring equipment serviceability rate, complete degree of emergency and rescue equipment and emergency and rescue equipment serviceability rate, the traffic of corresponding traffic characteristics is formed, the volume of traffic and the speed of a motor vehicle, the comprehensive evaluation for road surface condition index of corresponding operating environment traffic safety and riding comfort, CO concentration, smokescope and brightness, the tunnel operation management level and the driver safety behavior level of corresponding operation management performance, and the heavy rain of corresponding disaster index and earthquake.

Described standard value comprises that qualitative offset, degree of membership are Benq's offset and quantitative offset.

Described step C further may further comprise the steps:

C1. be that dissimilar standard values is determined subordinate function by the Fuzzy Distribution method;

C2. determine fuzzy operator;

C3. determine that each vcehicular tunnel operation security detects the weight vectors of index;

C4. carrying out fuzzy synthesis detects:

C40) set up main factor index and specific targets collection: A={B ₁, B ₂, B ₃, B ₄, B ₅, B ₆, B ₁={ C ₁₁, C ₁₂, C ₁₃, C ₁₄, C ₁₅, C ₁₆, B ₂={ C ₂₁, C ₂₂, C ₂₃, C ₂₄, C ₂₅, C ₂₆, B ₃={ C ₃₁, C ₃₂, C ₃₃, B ₄={ C ₄₁, C ₄₂, C ₄₃, C ₄₄, B ₅={ C ₅₁, C ₅₂, B ₆={ C ₆₁, C ₆₂, B wherein ₁～B ₆The corresponding tunnel of difference health degree, equipment completeness, traffic characteristics, operating environment traffic safety and riding comfort, operation management performance and disaster index, c _IjBe B ₁～B ₆Specific targets;

C41) set up detected set according to the character that detects index, be expressed as V={v ₁, v ₂, v ₃, v ₄;

C42) set up index C by subordinate function _IjTo being subordinate to of detected set V of vectorial R _Cij,

R _Cij=(r _Cij1r _Cij2r _Cij3r _Cij4), i=1,2 ..., 6, j=1,2 ..., by being subordinate to vectorial R _CijSingle factor of setting up each main factor index detects matrix R ' _Bij

C43) carrying out the one-level fuzzy synthesis detects:

Adopt the weighted mean pattern to stick with paste the comprehensive detection model: ω * R '=R, wherein, ω represents weight vectors, and the single factor of R ' expression detects matrix, and R represents the vector that is subordinate to of corresponding main factor index to comment set V;

Detect matrix R ' by each single factor _BiIts corresponding weight vectors ω _Bi, can draw each factor B _iThe vector that is subordinate to detected set V is R _Bi=ω _Bi* R ' _Bi

C44) the secondary fuzzy synthesis detects:

With one-level fuzzy synthesis testing result R _BiBe considered as single factor detected set, by R _BiForm single factor that the secondary fuzzy synthesis detects and detect matrix, can get secondary fuzzy synthesis testing result by corresponding weights vector sum single factor evaluation matrix by matrix multiple, promptly target factor is to the vector Z that is subordinate to of detected set:

$Z={\mathrm{\ω}}_a\×{\left(\begin{array}{cccccc}{R}_{b1}^T& R_{b2}^T& R_{b3}^T& R_{b4}^T& R_{b5}^T& R_{b6}^T\end{array}\right)}^T.$

Described qualitative offset, degree of membership adopt the monodrome type function for Benq's offset, and described quantitative offset adopts pattern less than normal to stick with paste distribution function, osculant Fuzzy Distribution function and pattern bigger than normal and sticks with paste distribution function.

Described fuzzy operator employing M (,+) operator.

Described each vcehicular tunnel operation security detects the weight vectors of index and is determined by Delphi method and analytical hierarchy process.

Described step D adopts fuzzy vector uniformization mode that the fuzzy synthesis testing result is carried out analyzing and processing:

Value by F is determined by the rank of evaluation object, wherein b _jValue can require to determine according to reality.

Further comprising the steps of behind the described step D:

E. storehouse, arrangement and typing are prepared, built to data

The data that obtain through various channels range each corresponding index input database under one's name with spreadsheet, and data are handled through arrangement;

F. the message identification of testing result issue

At tunnel various security risk accidents and the disaster accident kind of operation phase, according to different testing results, set up different information distribution indicators respectively, provide testing result intuitively to the related personnel.

Compared with prior art, the present invention utilizes the thought of multistage fuzzy synthesis, on the basis of setting up three layers of vcehicular tunnel operation securities detection index system, made up vcehicular tunnel operation security detection of dynamic model, and according to the criterion of every detection index of being set up, to (as: different vehicle flowrate under the different operating environment conditions, under the different ventilation conditions, different weather conditions are down inferior with different management level) the operation security state of vcehicular tunnel carries out Real-time and Dynamic Detection, and testing result showed convenient and safe operation management with corresponding message identification with form intuitively.In addition, also can be according to the analysis of testing result being found out the current principal risk factor that influences the tunnel safety operation, for tunnel operation management person takes different counter-measures that Technical Reference and foundation are provided according to different safety cases.

Description of drawings

Fig. 1 is that vcehicular tunnel operation security of the present invention detects three layers of index system synoptic diagram;

Fig. 2 is vcehicular tunnel operation all kinds of security risk accidents of phase of the present invention and disaster accident sign synoptic diagram;

Fig. 3 is all kinds of disaster information classification of a tunnel of the present invention operation phase sign synoptic diagram.

Embodiment

The invention will be further described below in conjunction with accompanying drawing.

Shown in Fig. 1～3, a kind of dynamic detection method of operation safety condition of road tunnel may further comprise the steps:

A. on the basis of systematic analysis vcehicular tunnel operation security influence factor, make up the vcehicular tunnel operation security and detect three layers of index system database, as Fig. 1;

B. after carrying out deep in detail research respectively at each index, corresponding standard value is set for detecting index;

C. set up the detection of dynamic model by Field Using Fuzzy Comprehensive Assessment

Detect index and corresponding standard value thereof according to three grades of assessment indicator systems being set up, vcehicular tunnel operation security, set up detection of dynamic model (two-stage fuzzy synthesis detection model), and detect by this model;

D. testing result is carried out analyzing and processing.

Described vcehicular tunnel operation security detects the specific targets that index comprises main factor index and corresponding main factor index, described main factor index comprises the tunnel health degree, the equipment completeness, traffic characteristics, the operating environment traffic safety and riding comfort, operation management performance and disaster index, described specific targets comprise the lining cutting crack of corresponding tunnel health degree, percolating water, lining cutting material deterioration, lining cutting is the cavity behind, lining deformation moves sedimentation and the lining cutting aliquation peels off, the complete degree of operation infrastructure device of corresponding device completeness, operation infrastructure device serviceability rate, the complete degree of safety monitoring equipment, the safety monitoring equipment serviceability rate, complete degree of emergency and rescue equipment and emergency and rescue equipment serviceability rate, the traffic of corresponding traffic characteristics is formed, the volume of traffic and the speed of a motor vehicle, the comprehensive evaluation for road surface condition index of corresponding operating environment traffic safety and riding comfort, CO concentration, smokescope and brightness, the tunnel operation management level and the driver safety behavior level of corresponding operation management performance, and the heavy rain of corresponding disaster index and earthquake.

Described standard value comprises that qualitative offset, degree of membership are Benq's offset and quantitative offset.

Described step C further may further comprise the steps:

C1. be that dissimilar standard values is determined subordinate function by the Fuzzy Distribution method;

At present, the method for common definite subordinate function has fuzzy statistics method, threefold division, five-spot, Fuzzy Distribution method etc.This patent is used the Fuzzy Distribution method and is determined subordinate function.Distribution pattern commonly used in evaluation system mainly contains: monodrome type, triangle and half triangle distribution, rectangle and half rectangular distribution, trapezoidal and half trapezoidal profile, normal distribution, Cauchy distribution etc., can select subordinate function according to different typess of variables.Also can't prove the quality of subordinate function being selected effect with theory at present, mainly be to choose according to practical experience.For qualitative index and degree of membership is the monodrome selection problem of bright collection (non-fuzzy set), adopts the monodrome type more.For quantitative target, this paper adopts Cauchy to distribute, and its main type has following three kinds:

1. pattern less than normal is stuck with paste and is distributed, and x is big more, and then degree of membership is more little, adopts and falls half Cauchy distribution:

${\mathrm{\μ}}_1\left(x\right)=\left\{\begin{array}{cc}1& x\≤a\\ \frac{1}{1+\mathrm{\α}{(x-a)}^{\mathrm{\β}}}& x>a\end{array}\right.$

2. osculant Fuzzy Distribution, this distributes with symmetrical Cauchy:

${\mathrm{\μ}}_2\left(x\right)=\frac{1}{1+\mathrm{\α}{(x-a)}^{\mathrm{\β}}}$

3. pattern bigger than normal is stuck with paste and is distributed, and x is big more, and then degree of membership is big more, adopts to rise half Cauchy distribution:

${\mathrm{\μ}}_1\left(x\right)=\left\{\begin{array}{cc}0& x\≤a\\ \frac{1}{1+\mathrm{\α}{(x-a)}^{-\mathrm{\β}}}& x>a\end{array}\right.$

In the formula, α and β are parameter, and α＞0 are arranged, β＞0.

C2. determine fuzzy operator;

Fuzzy composite operator commonly used have main factor decision type M (∨, ∧), main factor protruding type M (, ∧), unbalanced mean type

With the weighted mean type

Deng four kinds.For same detected object, adopt different fuzzy operators to detect, testing result may be different.Therefore, in the actual detected process, should select suitable fuzzy operator according to the characteristics of detected object.The importance of each index owing to grow up in the tunnel operation security state-detection index system there are differences, but be not very big, and need know the result of the tunnel operation security state comprehensive detection of growing up, therefore tunnel operation security state carries out comprehensive detection to growing up to adopt operator M (,+);

C3. determine that each vcehicular tunnel operation security detects the weight vectors of index;

Adopt Delphi method and analytical hierarchy process to determine to come the weight vectors of each evaluation index of synthetic determination;

C4. carrying out fuzzy synthesis detects:

C40) set up main factor index and specific targets collection: A={B ₁, B ₂, B ₃, B ₄, B ₅, B ₆, B ₁={ C ₁₁, C ₁₂, C ₁₃, C ₁₄, C ₁₅, C ₁₆, B ₂={ C ₂₁, C ₂₂, C ₂₃, C ₂₄, C ₂₅, C ₂₆, B ₃={ C ₃₁, C ₃₂, C ₃₃, B ₄={ C ₄₁, C ₄₂, C ₄₃, C ₄₄, B ₅={ C ₅₁, C ₅₂, B ₆={ C ₆₁, C ₆₂, B wherein ₁～B ₆The corresponding tunnel of difference health degree, equipment completeness, traffic characteristics, operating environment traffic safety and riding comfort, operation management performance and disaster index, c _IjBe B ₁～B ₆Specific targets;

C41) set up detected set according to the character that detects index, the set that it is made up of the evaluation result that may make detected object can be expressed as V={y ₁, y ₂..., y _n.According to the performance of detected index and the safe condition that detects target, suppose that the detection level set is:

V＝{v ₁，v ₂，v ₃，v ₄}

v ₁, v ₂, v ₃, v ₄Represent to grow up tunnel operation security grade B, 1A, 2A, 3A respectively, respectively expression safety, accurate safety, near-crisis, four kinds of safe conditions of crisis.

C42) determine that single factor detects matrix

Set up index C by subordinate function _IjTo being subordinate to of detected set V of vectorial R _Cij,

R _Cij=(r _Cij1r _Cij2r _Cij3r _Cij4), i=1,2 ..., 6, j=1,2 ..., by being subordinate to vectorial R _CijSingle factor of setting up each main factor index detects matrix R ' _Bij

C43) carrying out the one-level fuzzy synthesis detects

It is the process of setting up the fuzzy synthesis detection model by fuzzy operator that fuzzy synthesis detects.

Adopt the weighted mean pattern to stick with paste the comprehensive detection model: ω * R '=R, wherein, ω represents weight vectors, and the single factor of R ' expression detects matrix, and R represents the vector that is subordinate to of corresponding main factor index to comment set V;

Detect matrix R ' by each single factor _BiIts corresponding weight vectors ω _Bi, can draw each factor B _iThe vector that is subordinate to detected set V is R _Bi=ω _Bi* R ' _Bi

C44) the secondary fuzzy synthesis detects:

With one-level fuzzy synthesis testing result R _BiBe considered as single factor detected set, by R _BiForm single factor that the secondary fuzzy synthesis detects and detect matrix, can get secondary fuzzy synthesis testing result by corresponding weights vector sum single factor evaluation matrix by matrix multiple, promptly target factor is to the vector Z that is subordinate to of detected set:

$Z={\mathrm{\ω}}_a\×{\left(\begin{array}{cccccc}{R}_{b1}^T& R_{b2}^T& R_{b3}^T& R_{b4}^T& R_{b5}^T& R_{b6}^T\end{array}\right)}^T.$

Described qualitative offset, degree of membership adopt the monodrome type function for Benq's offset, and described quantitative offset adopts the pattern that diminishes to stick with paste distribution function, osculant Fuzzy Distribution function and pattern bigger than normal and sticks with paste distribution function.

Described fuzzy operator employing M (,+) operator.

Described each vcehicular tunnel operation security detects the weight vectors of index and is determined by Delphi method and analytical hierarchy process.

Described step D adopts fuzzy vector uniformization mode that the fuzzy synthesis testing result is carried out analyzing and processing:

Determine the rank of detected object, wherein b by the value of F _jValue can require determine according to reality.As b is arranged respectively ₁, b ₂, b ₃, b ₄, compose respectively with score value 1,2,3,4, then

$F=\frac{1\&times;{\mathrm{<figure-callout\; id="1"\; label="z"\; filenames="H2009100497140E0000022.png"\; state="\{\{state\}\}">z</figure-callout>}}_1+2\&times;z_2+3\&times;z_3+4\&times;z_4}{{\mathrm{<figure-callout\; id="1"\; label="z"\; filenames="H2009100497140E0000022.png"\; state="\{\{state\}\}">z</figure-callout>}}_1+z_2+z_3+z_4}$

Then the vcehicular tunnel Health Category quantizes to see Table 1:

The table 1 tunnel operation security state grade table of growing up

Grade	Safe condition	Secure state value
			??B	Safety	??1.5＞F≥1
??1A	Accurate safety	??2.5＞F≥1.5
			??2A	Critical conditions	??3.5＞F≥2.5
??3A	Dangerous	??4≥F≥3.5

Further comprising the steps of behind the described step D:

E. storehouse, arrangement and typing are prepared, built to data

The data that obtain through various channels range each corresponding index input database under one's name with spreadsheet, and data are handled through arrangement;

F. the message identification of testing result issue

At tunnel various security risk accidents and the disaster accident kind of operation phase, according to different testing results, set up different information distribution indicators respectively, provide testing result intuitively to the related personnel.Vcehicular tunnel operation all kinds of security risk accidents of phase and disaster accident marked graph can unify to adopt various forms shown in Figure 2, wherein (a) is the heavy rain disaster alarm, (b) being the earthquake disaster early warning, (c) is the flood damage early warning, (d) is the traffic hazard early warning, (e) be fire alarm, (f) be early warning explosion, (g) for the people is attack of terrorism early warning, (h) equipment and facilities fault, (i) forewarning management accident, (j) early warning of structure disease; In addition, the information issue of tunnel operation all kinds of disasters of phase should be adopted the classification sign according to evaluation result, can unify to adopt form shown in Figure 3.

Claims (9)

1. A method for dynamic detection of road tunnel operation safety conditions, characterized in that, comprising the following steps: A. Construct a road tunnel operation safety detection index database; B. Set the corresponding standard value for the detection index; C. Establish a dynamic detection model based on the road tunnel operation safety detection indicators and their corresponding standard values, and use this model for detection; D. Analyze and process the test results. 2. a kind of road tunnel operation safety situation dynamic detection method according to claim 1, is characterized in that, described road tunnel operation safety detection index comprises main factor index and the concrete index of corresponding main factor index, and described main factor index Factor indicators include tunnel health, equipment completeness, traffic characteristics, operating environment safety and comfort, operation management performance, and natural disaster indicators. The specific indicators include lining cracks, water leakage, and lining materials corresponding to tunnel health. Deterioration, voids behind the lining, lining deformation, movement and settlement, and peeling of the lining, corresponding to the completeness of the equipment, the completeness of the operating infrastructure, the integrity rate of the operational infrastructure, the completeness of safety monitoring equipment, the integrity rate of safety monitoring equipment, and the completeness of emergency rescue and emergency rescue equipment integrity rate, traffic composition, traffic volume and vehicle speed corresponding to traffic characteristics, comprehensive evaluation indicators of road surface conditions, CO concentration, smog concentration and brightness corresponding to operating environment safety and comfort, and tunnel operation management level corresponding to operation management performance and driver safety behavior levels, as well as heavy rain and earthquakes corresponding to natural disaster indicators. 3. A method for dynamic detection of road tunnel operation safety status according to claim 2, characterized in that said standard values include qualitative values, Ming-based values and quantitative values. 4. A kind of road tunnel operation safety situation dynamic detection method according to claim 3, is characterized in that, described step C further comprises the following steps: C1: Determination of membership functions for different types of standard values by fuzzy distribution method; C2: Determine the fuzzy operator; C3: Determine the weight vector of each road tunnel operation safety detection index; C4: Perform fuzzy comprehensive detection: C40) Establish main factor indicators and specific indicator sets: A={B ₁ , B ₂ , B ₃ , B ₄ , B ₅ , B ₆ }, B ₁ ={C ₁₁ , C ₁₂ , C ₁₃ , C ₁₄ , C ₁₅ , C ₁₆ }, B ₂ ={C ₂₁ , C ₂₂ , C ₂₃ , C ₂₄ , C ₂₅ , C ₂₆ }, B ₃ ={C ₃₁ , C ₃₂ , C ₃₃ }, B ₄ ={C ₄₁ , C ₄₂ , C ₄₃ , C ₄₄ }, B ₅ = {C ₅₁ , C ₅₂ }, B ₆ = {C ₆₁ , C ₆₂ }, where B ₁ ~ B ₆ correspond to tunnel health, equipment completeness, and traffic characteristics, respectively , operating environment safety and comfort, operation management performance and natural disaster indicators, c _ij is the specific indicators of B ₁ ~ B ₆ ; C41) Establish a detection set according to the nature of the detection index, expressed as V={v ₁ , v ₂ , v ₃ , v ₄ }; C42) Establish the membership vector R _cij of the index C _ij to the detection set V through the membership function, R _cij ＝(r _cij1 r _cij2 r _cij3 r _cij4 ), i=1, 2,...,6, j=1, 2,..., the single factor detection matrix R′ _bij of each main factor index is established by the membership vector R _cij ; C43) carry out one-level fuzzy comprehensive detection: A weighted average fuzzy comprehensive detection model is adopted: ω×R′=R, where ω represents the weight vector, R′ represents the single-factor detection matrix, and R represents the membership vector of the corresponding main factor index to the comment set V; From each single-factor detection matrix R′ _bi and its corresponding weight vector ω _bi , it can be concluded that the membership vector of each factor _Bi to the detection set V is R _bi =ω _bi ×R′ _bi ; C44) secondary fuzzy comprehensive detection: The first-level fuzzy comprehensive detection result R _bi is regarded as a single-factor detection set, and the single-factor detection matrix of the second-level fuzzy comprehensive detection is composed of R _bi , and the second-level fuzzy Comprehensive detection results, that is, the membership vector Z of the target factor to the detection set: $\mathrm{<span\; class="notranslate">\; Z</span>}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; \&omega;</span>}}_{\mathrm{<span\; class="notranslate">\; a</span>}}<span\; class="notranslate">\; \&times;</span>{\left(\begin{array}{cccccc}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; b</span>}\mathrm{<span\; class="notranslate">\; 1</span>}}^{\mathrm{<span\; class="notranslate">\; T</span>}}& {\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; b</span>}\mathrm{<span\; class="notranslate">\; 2</span>}}^{\mathrm{<span\; class="notranslate">\; T</span>}}& {\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; b</span>}\mathrm{<span\; class="notranslate">\; 3</span>}}^{\mathrm{<span\; class="notranslate">\; T</span>}}& {\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; b</span>}\mathrm{<span\; class="notranslate">\; 4</span>}}^{\mathrm{<span\; class="notranslate">\; T</span>}}& {\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; b</span>}\mathrm{<span\; class="notranslate">\; 5</span>}}^{\mathrm{<span\; class="notranslate">\; T</span>}}& {\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; b</span>}\mathrm{<span\; class="notranslate">\; 6</span>}}^{\mathrm{<span\; class="notranslate">\; T</span>}}\end{array}\right)}^{\mathrm{<span\; class="notranslate">\; T</span>}}<span\; class="notranslate">\; .</span>$ 5. a kind of road tunnel operation safety situation dynamic detection method according to claim 4, is characterized in that, described qualitative type value, degree of membership is that the bright base type value adopts single-valued type function, and described quantitative type value adopts Small fuzzy distribution function, intermediate fuzzy distribution function and large fuzzy distribution function. 6. A method for dynamic detection of road tunnel operation safety status according to claim 4 or 5, characterized in that, said fuzzy operator adopts M(□, +) operator. 7. A method for dynamic detection of road tunnel operation safety status according to claim 6, characterized in that, the weight vectors of each road tunnel operation safety detection index are determined by the Delphi method and the analytic hierarchy process. 8. according to claim 1 or 7 described a kind of dynamic detection method of road tunnel operation safety situation, it is characterized in that, described step D adopts fuzzy vector monovaluation mode to carry out analysis and processing to fuzzy comprehensive detection result:

The level of the evaluated object is determined by the value of F, and the value of b _{and j} can be determined according to actual requirements. 9. A kind of road tunnel operation safety situation dynamic detection method according to claim 8, is characterized in that, also comprises the following steps after described step D: E. Data preparation, database building, collation and entry The data obtained through various channels are sorted out, classified into the corresponding indicators in the form of spreadsheets and entered into the database, and the data are processed; F. Release of information identification of test results For various safety risk accidents and disaster accidents during the tunnel operation period, according to different detection results, different information release signs are set up to provide relevant personnel with intuitive detection results.

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