CN112365178A - Rail transit tunnel operation period safety evaluation method, system and storage medium - Google Patents

Rail transit tunnel operation period safety evaluation method, system and storage medium Download PDF

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CN112365178A
CN112365178A CN202011313565.7A CN202011313565A CN112365178A CN 112365178 A CN112365178 A CN 112365178A CN 202011313565 A CN202011313565 A CN 202011313565A CN 112365178 A CN112365178 A CN 112365178A
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韩勃
甘高源
刘健
刘士亮
任英杰
黄国香
张浩东
李维国
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Shandong University
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Abstract

The invention discloses a method, a system and a storage medium for evaluating the safety of a rail transit tunnel in an operation period, which belong to the technical field of rail transit, combine mathematical theory and engineering practice, can make up the defects of the safety analysis of the traditional engineering experience, and more accurately and conveniently service the rail transit tunnel, and the method comprises the following steps: acquiring parameter data of each disease in the whole section of rail transit tunnel; dividing grids of a rail-crossing tunnel structural plane, sorting the grids and extracting grid parameters; establishing a rail transit tunnel operation period safety evaluation hierarchical structure model, wherein the hierarchical structure model presents a hierarchical structure and consists of an index layer, a middle layer and a target layer; determining the weight value between each layer; constructing a variable weight vector function, establishing a quaternary linear equation set, establishing variable weight vector function parameters through a mathematical calculation method to obtain the variable weight vector function, and finally constructing the variable weight function to image data by using a program to obtain an overall structure safety evaluation graph of the rail transit tunnel.

Description

Rail transit tunnel operation period safety evaluation method, system and storage medium
Technical Field
The invention belongs to the technical field of rail transit, and particularly relates to a method and a system for evaluating the safety of a rail transit tunnel in an operation period and a storage medium.
Background
The statements herein merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The main form of underground traffic is urban rail traffic, which has become the dominant force of important traffic in various cities in the world at present. However, rail transit also has the defects of closed environment, narrow space, overlarge pedestrian flow in specific time and the like, and evacuation and escape are greatly limited, and under such a condition, the prediction of the safety performance of the tunnel in advance, the timely emergency scheme making become an indispensable means, so an effective rail transit tunnel operation period safety evaluation method is necessary.
The inventor finds that a plurality of characteristic parameter factors such as cracks, cavities, water leakage and deformation affect the safety of the rail cross tunnel, each characteristic parameter factor is mutually connected, the safety influence degree of different characteristic parameter factors on the rail cross tunnel is different, namely, each characteristic parameter has different weight on the rail cross tunnel, and the weight changes along with the change of each characteristic parameter value. The variable weight vector is based on the factor constant weight vector, and the state variable weight vector is used for carrying out proper readjustment distribution on the weight, so that the weight value which accords with the decision attitude of a decision maker is obtained.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a method, a system and a storage medium for evaluating the operation period safety of a rail transit tunnel, which are used for comprehensively evaluating the operation period safety performance of the rail transit tunnel based on a variable weight theory and combining a mathematical theory and engineering practice in order to better reflect the overall safety degree of an off-rail transit tunnel, so that the defects of traditional engineering experience safety analysis can be overcome, and the rail transit tunnel can be more accurately and conveniently served.
In order to achieve the purpose, the invention is realized by the following technical scheme:
in a first aspect, the technical solution of the present invention provides a method for evaluating the safety of a rail transit tunnel during an operation period, including the following steps:
selecting a disease tunnel, and carrying out grid division and numbering on the disease tunnel; collecting data of each disease characteristic parameter of each grid;
establishing a safety evaluation hierarchical structure model of the rail transit tunnel in the operation period according to the acquired data, establishing a judgment matrix among all the levels by using an exponential scaling method, checking the consistency of the judgment matrix, and calculating the weight value among all the levels in the matrix judged by the consistency;
the collected data is subjected to interval normalization, the diseases are divided into a plurality of intervals, a plurality of factor index values positioned in different intervals are set, and variable weight vector function parameters c and alpha are established by a mathematical calculation method1、α2、α3To obtain a variable weight vector function Sj(X) constructing a variable weight function;
and calculating the safety value of each grid of the derailed traffic tunnel according to the variable weight function.
In a second aspect, the technical solution of the present invention further provides a system for evaluating the safety of a rail transit tunnel during an operation period, including the following modules, which perform a cascade action:
the first module is configured to establish a safety evaluation hierarchical structure model of the rail transit tunnel in the operation period according to the acquired data, establish a judgment matrix among all levels by using an index scale method, check the consistency of the judgment matrix and calculate the weight value among all levels in the matrix judged by the consistency;
a second module configured to perform interval normalization on the collected data, divide the diseases into a plurality of intervals, set a plurality of factor index values in different intervals, and establish variable weight vector function parameters c and alpha through a mathematical calculation method1、α2、α3To obtain a variable weight vector function Sj(X) constructing a variable weight function;
and the third module is configured to calculate each grid safety value of the derailed traffic tunnel according to the variable weight function.
In a third aspect, the present invention further provides a computer-readable storage medium, where multiple instructions are stored, where the instructions are adapted to be loaded by a processor of a terminal device and to execute the rail transit tunnel operation period security evaluation method according to the first aspect.
The technical scheme of the invention has the following beneficial effects:
1) the invention provides a method for comprehensively evaluating the operation period safety of a rail transit tunnel based on a variable weight theory, which combines the mathematical theory with the engineering practice, calculates the safety value of each grid of the off-track transit tunnel according to a variable weight function, can objectively reflect the safety of the tunnel in the operation period, avoids subjective influence brought by engineering experience mainly in manual evaluation, can make up the defect of safety analysis of the traditional engineering experience, and more accurately and conveniently serves the rail transit tunnel.
2) According to the method, different weights are distributed aiming at a plurality of characteristic parameter factors such as cracks, cavities, water leakage, deformation and the like, the characteristic parameters with different weights are distributed to corresponding levels in a safety evaluation hierarchical structure model, the weight values among the levels are calculated, a variable weight function is constructed according to the weight values and factor index values positioned in different intervals, evaluation which the characteristic parameters with different weights should occupy can be fully reflected, key deterioration indexes are prevented from being averaged, and therefore the evaluation result is more reasonable.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 is a flow diagram of a weighted theory implementation of the present invention in accordance with one or more embodiments;
FIG. 2 is a rail-to-rail tunnel grid partitioning diagram in accordance with one or more embodiments of the present invention;
FIG. 3 is a hierarchical model of rail transit tunnel operational period security evaluation in accordance with one or more embodiments of the present invention;
fig. 4 is a diagram of the overall structural safety evaluation of a rail transit tunnel according to one or more embodiments of the present invention.
The spacing or dimensions between each other are exaggerated to show the location of the various parts, and the illustration is for illustrative purposes only.
Detailed Description
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an", and/or "the" are intended to include the plural forms as well, unless the invention expressly state otherwise, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof;
for convenience of description, the words "up", "down", "left" and "right" in the present invention, if any, merely indicate correspondence with up, down, left and right directions of the drawings themselves, and do not limit the structure, but merely facilitate the description of the invention and simplify the description, rather than indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the invention.
Term interpretation section: the terms "mounted," "connected," "fixed," and the like in the present invention are to be understood in a broad sense, and for example, the terms "mounted," "connected," and "fixed" may be fixed, detachable, or integrated; the two components can be connected mechanically or electrically, directly or indirectly through an intermediate medium, or connected internally or in an interaction relationship, and the terms used in the present invention should be understood as having specific meanings to those skilled in the art.
As introduced by the background art, aiming at the defects in the prior art, the invention aims to provide a method, a system and a storage medium for evaluating the operation period safety of a rail transit tunnel, which are used for comprehensively evaluating the operation period safety performance of the rail transit tunnel based on a variable weight theory and combining a mathematical theory and engineering practice in order to better reflect the overall safety degree of an out-of-rail transit tunnel, so that the defects of traditional engineering empirical safety analysis can be overcome, and the rail transit tunnel can be more accurately and conveniently served.
Example 1
In a typical implementation manner of the present invention, this embodiment discloses a method for evaluating the security of a rail transit tunnel during an operation period,
the weight-variable theoretical structure applied by the invention is as in formula (1):
Figure BDA0002790606280000051
in the formula WjThe weight value is changed; wj 0Is a constant weight value; siAnd (X) is a variable weight vector function.
In principle, the method comprises the following steps:
1. acquiring parameter data of each disease in the whole section of rail transit tunnel; the method comprises the following steps of (1) including the length of a crack, the width of the crack, the area of leaked water, the area of a cavity at the back of a duct piece and the deformation of the duct piece;
specifically, grid division is performed on a rail-traffic tunnel structural plane firstly: spreading the arch surface of the rail-crossing tunnel to form a plane form, and dividing the plane of the rail-crossing tunnel according to a grid form of 0.3m multiplied by 0.3 m; then from the transverse direction (from left to right)Dividing the grids in the longitudinal direction (from bottom to top), and extracting data of crack length, crack width, leakage area, cavity area and deformation change rate in each grid, wherein the data of the crack length, the crack width, the leakage area, the cavity area and the deformation change rate are extracted
Figure BDA0002790606280000052
2. Determining a constant weight Wj 0
Specifically, firstly, a rail transit tunnel operation period safety evaluation hierarchical structure model is established, the hierarchical structure model is composed of an index layer, an intermediate layer and a target layer, a hierarchical structure is presented, and the intermediate layer has 4 characteristic parameters: the method comprises the following steps of (1) including crack characteristics, leakage characteristics, cavity characteristics and deformation characteristics; the index layer has 5 characteristic parameters: crack length, crack width, leakage area, void area, rate of change of deformation;
then, weight values between the layers are determined, the weight values including a constant weight (W) between the target layer and the intermediate layer1 0、W2 0、W3 0、W4 0) Weight value (W) between intermediate layer and index layer1 2、W2 2、W3 2、W4 2、 W5 2) Weight value (W) between target layer and index layer1 1、W2 1、W3 1、W4 1、W5 1) Ideal variable weight (W) between target layer and index layer1、W2、W3、W4、W5) The method specifically comprises the following steps:
2.1, division index scaling: the index scales are all 1-9 degrees, in this embodiment, the weighting theory adopts an index scale method, and according to the relationship between the characteristic parameters of the rail transit tunnel, a specific judgment level and a corresponding index scale are established, as shown in table 1:
TABLE 1 exponential scaling method
Figure BDA0002790606280000061
Note: k ∈ (0, 1, … …, 8), α ═ 9-8=1.316。
2.2, establishing a judgment matrix: selecting a corresponding index scale according to the important influence relation among the characteristic parameters in each layer, and establishing a judgment matrix among a target layer, an intermediate layer and an index layer;
2.3, checking and judging the consistency of the matrix: calculating the maximum eigenvalue lambda of the judgment matrixmaxBased on the distribution of R value of consistency index, determining RI value according to matrix order, and calculating
Figure BDA0002790606280000062
Whether the consistency of the judgment matrix is acceptable or not is shown by whether the consistency is less than 0.1;
2.4, determining the weight: after the consistency check of the judgment matrix is completed, calculating the constant weight (W) between the target layer and the intermediate layer according to the structure of the judgment matrix1 0、W2 0、W3 0、W4 0) Weight value (W) between intermediate layer and index layer1 2、W2 2、W3 2、W4 2、W5 2) Ideal variable weight (W) between target layer and index layer1、W2、W3、 W4、W5) And calculating the weight value (W) between the target layer and the index layer by formula (2)1 1、W2 1、W3 1、 W4 1、W5 1)。
Figure BDA0002790606280000071
3. Determining a variable weight vector function Si(X)。
3.1, constructing a variable weight vector function: the basic weight of the index factors is readjusted by constructing the state variable weight vector of the safety performance partition of the rail transit tunnel structure, so that the weight of the index factors in the basic evaluation unit is reduced or improved, and the evaluation grade is correspondingly reduced or improved. In other words, "punishment" is a low index value that is not safe well for the tunnel segment structure, "excitation" is a high index value that is safe well for the tunnel segment structure, and "neither punishment nor excitation" is performed for a general index value. The partition state variable weight vector of the safety performance of the rail transit tunnel structure is constructed according to a formula (3):
Figure BDA0002790606280000072
3.2, determining a variable weight vector function interval: classifying the disease data of the rail-crossing tunnel between [ -1,1] and performing interval division on the diseases by using a k-means clustering analysis method, wherein the interval is divided into a punishment interval, a non-excitation and non-punishment interval, an initial excitation interval and a strong excitation interval;
3.3 variable weight vector function parameters c, α1、α2、α3Establishment of (1): setting factor index value C1、C2、C3、 C4、C5Different intervals, i.e. X1、X2In a penalty interval, X3In a non-punished non-excitation interval, X4In the initial excitation interval, X5And is located in a strong excitation interval. The ideal weight vector may result in the following equation:
Figure BDA0002790606280000081
and establishing a relation between the variable weight vector function weights, such as an equation (5):
Figure BDA0002790606280000082
conversion parameters c, alpha1、α2、α3Is expressed as in formula (6):
Figure BDA0002790606280000083
the following formula can be obtained according to the state values of the factors of the evaluation unit and the constant weight thereof:
Figure BDA0002790606280000091
bringing into formula (7)
Figure BDA0002790606280000092
Obtaining:
Figure BDA0002790606280000093
in the formula
Figure BDA0002790606280000094
Combining the determined ideal variable weight (W) according to equation (8)1、W2、W3、W4、W5) And a known factor constant weight value (W)1 1、W2 1、W3 1、W4 1、W5 1) And the state value of the factor and the variable weight interval threshold value, the value of the parameter c can be obtained, and then the formula (6) is used for obtaining the parameter c. The parameter alpha can be calculated1、α2、α3Function of variable weight vector Sj(X) the setup is complete.
4. And calculating the safety value of each grid of the derailed traffic tunnel through a weight-variable theory.
In addition, the whole safety performance of the rail transit tunnel in the operation period can be observed more intuitively through data imaging.
Specifically, taking the example of selecting a rail transit tunnel with a large number of disease characteristics, the method for evaluating the safety of the rail transit tunnel in the operation period comprises the following steps:
(1) data collection: selecting a rail-crossing tunnel with large disease characteristic quantity, and extractingAnd data of each disease characteristic parameter in the tunnel. The collected survey data requirements include fracture length (C)1) Width of crack (C)2) Leakage area (C)3) Area of cavity (C)4) Rate of change of deformation (C)5)。
(2) Grid division of the structural surface of the rail-traffic tunnel: spreading out the arched surface of the rail-crossing tunnel to form a plane form, dividing the plane of the rail-crossing tunnel according to a 0.3m multiplied by 0.3m grid form, and dividing the grid in the transverse (left-to-right) and longitudinal (bottom-to-top) directions, wherein the grid is shown in fig. 2.
(3) Grid sorting and grid parameter extraction: sequentially increasing and sequencing the divided grids from left to right and from bottom to top according to positive integers; and extracting data of the length of the crack, the width of the crack, the leakage area, the area of the cavity and the deformation change rate in each grid.
The inventor collects 120 cases of field measured data by means of field measurement, literature reference and the like, and partial data are shown in table 2.
(4) Constant weight determination: establishing a hierarchical structure model for the safety evaluation in the operation period of the rail transit tunnel, as shown in fig. 3, establishing a constant weight between the target layer and the intermediate layer by the exponential scaling method of table 1
Figure RE-GDA0002853534750000101
Figure RE-GDA0002853534750000102
Weight value between intermediate layer and index layer
Figure RE-GDA0002853534750000103
Ideal variable weight (W) between target layer and index layer1、W2、W3、W4、W5) Calculating the weighted value between the target layer and the index layer by using a formula
Figure RE-GDA0002853534750000104
TABLE 2 partial data sheet
Figure BDA0002790606280000101
(5) Determining by the variable weight vector function: classifying the disease data of the rail-crossing tunnel in the table 2 into [ -1,1 [ -1 [ ]]Dividing the diseases into punishment intervals, non-punishment intervals, initial excitation intervals and strong excitation intervals by using a k-means clustering analysis method; setting factor index value C1、C2、C3、C4、C5Different intervals, i.e. X1、X2In a penalty interval, X3In a non-punished non-excitation interval, X4In the initial excitation interval, X5In the strong excitation interval, the conversion parameters c and alpha are obtained through the conversion of the formula (4)1、α2、α3In accordance with equation (8) in combination with the determined ideal variable weight (W) (equation (6))1、W2、W3、W4、W5) And a known factor constant weight value (W)1 1、W2 1、W3 1、W4 1、W5 1) And the state value of the factor and the variable weight interval threshold value, the value of the parameter c can be obtained, and the parameter alpha can be calculated according to the formula (6) after the parameter c is obtained1、α2、α3Function of variable weight vector Si(X) the setup is complete.
(6) The rail transit tunnel overall structure safety evaluation chart is as follows: the safety value of each grid of the off-track traffic tunnel is calculated through a weight-variable theory, and data is imaged through a program, namely the whole safety performance of the operation period of the off-track traffic tunnel is observed more intuitively, as shown in fig. 4.
Example 2
In a typical implementation manner of the present invention, this embodiment discloses a system for evaluating the safety of a rail transit tunnel during an operation period, which includes the following modules, and the modules perform a cascade action:
the first module is configured to establish a safety evaluation hierarchical structure model of the rail transit tunnel in the operation period according to the acquired data, establish a judgment matrix among all levels by using an index scale method, check the consistency of the judgment matrix and calculate the weight value among all levels in the matrix judged by the consistency;
a second module configured to perform interval normalization on the acquired data, divide the diseases into a plurality of intervals, set a plurality of factor index values in different intervals, and establish variable weight vector function parameters c and a through a mathematical calculation method1、a2、α3To obtain a variable weight vector function Sj(X) constructing a variable weight function;
and the third module is configured to calculate each grid safety value of the derailed traffic tunnel according to the variable weight function.
And cascade action among the modules, wherein the cascade action relationship is that when the action of the nth module is unsuccessful or can not be operated, the (n + 1) th module is put into action.
n is an integer of 1 or more.
Of course, the first module, the second module, and the third module correspond to step 4), step 5), and step 6) in embodiment 1, and the modules are the same as the corresponding steps in the implementation example and application scenarios, but are not limited to the disclosure in embodiment 1. It should be noted that the modules described above as part of a system may be implemented in a computer system such as a set of computer-executable instructions.
Example 3
In an exemplary implementation manner of the present invention, the present embodiment discloses a computer-readable storage medium, in which a plurality of instructions are stored, and the instructions are adapted to be loaded by a processor of a terminal device and execute the method for evaluating the operation period security of the rail transit tunnel according to the first aspect.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A rail transit tunnel operation period safety evaluation method is characterized by comprising the following steps:
selecting a disease tunnel, and carrying out grid division and numbering on the disease tunnel; collecting data of each disease characteristic parameter of each grid;
establishing a safety evaluation hierarchical structure model of the rail transit tunnel in the operation period according to the acquired data, establishing a judgment matrix among all the levels by using an exponential scaling method, checking the consistency of the judgment matrix, and calculating the weight value among all the levels in the matrix judged by the consistency;
the collected data are subjected to interval normalization, diseases are divided into a plurality of intervals, a plurality of factor index values in different intervals are set, and variable weight vector function parameters c and alpha are established through a mathematical calculation method according to weight values1、α2、α3To obtain a variable weight vector function Sj(X) constructing a variable weight function;
and calculating the safety value of each grid of the derailed traffic tunnel according to the variable weight function.
2. The rail transit tunnel operation period safety evaluation method according to claim 1, wherein when data of each disease characteristic parameter of each grid is collected, the extracted tunnel disease characteristic parameters are located on an arched tunnel face, arched tunnel disease characteristics are mapped to columns through column mapping, and the columns are unfolded into a planar form.
3. The rail transit tunnel operation period safety evaluation method according to claim 1, wherein when the rail transit tunnel operation period safety evaluation hierarchical structure model is established, the hierarchical structure model comprises an index layer, an intermediate layer and a target layer, and characteristic parameters of the intermediate layer comprise crack characteristics, leakage characteristics, void characteristics and deformation characteristics; the characteristic parameters of the index layer include crack length, crack width, leak area, void area, and rate of change of deformation.
4. The method according to claim 1, wherein when the judgment matrix between the layers is established by using an index scaling method, the corresponding index scaling is selected according to the important influence relationship between the characteristic parameters in each layer, the judgment matrix between the target layer and the intermediate layer and between the target layers is established, and if the consistency of the judgment matrix is smaller than a set value, the weight value between the layers in the judgment matrix is calculated.
5. The rail transit tunnel operation period security evaluation method of claim 3, wherein the weight value comprises a constant weight between the target layer and the intermediate layer
Figure FDA0002790606270000021
Weight value between intermediate layer and index layer
Figure FDA0002790606270000022
Weighted value between target layer and index layer
Figure FDA0002790606270000023
Figure FDA0002790606270000024
Ideal variable weight (W) between target layer and index layer1、W2、W3、W4、W5)。
6. The rail transit tunnel operation period safety evaluation method according to claim 1, wherein when the collected data is classified into intervals, the collected data is classified into [ -1,1] and a k-means clustering analysis method is used to perform interval division on diseases, and the intervals are divided into punishment intervals, non-excitation non-punishment intervals, initial excitation intervals and strong excitation intervals.
7. The method according to claim 6, wherein when the factor index value is set, the factor index value is respectively located in a penalty interval, a non-excitation non-penalty interval, an initial excitation interval, and a strong excitation interval.
8. The method for evaluating the safety of the rail transit tunnel in the operation period according to claim 1, wherein after calculating the safety value of each grid of the derailed tunnel according to the variable weight function, the data is imaged by a program to obtain a safety evaluation graph of the whole structure of the rail transit tunnel.
9. The rail transit tunnel operation period safety evaluation system is characterized by comprising the following modules, wherein the modules are in cascade action:
the first module is configured to establish a safety evaluation hierarchical structure model of the rail transit tunnel in the operation period according to the acquired data, establish a judgment matrix among all levels by using an index scale method, check the consistency of the judgment matrix and calculate the weight value among all levels in the matrix judged by the consistency;
a second module configured to perform interval normalization on the collected data, divide the diseases into a plurality of intervals, set a plurality of factor index values in different intervals, and establish variable weight vector function parameters c and alpha through a mathematical calculation method1、α2、α3To obtain a variable weight vector function Sj(X) constructing a variable weight function;
and the third module is configured to calculate each grid safety value of the derailed traffic tunnel according to the variable weight function.
10. A computer-readable storage medium having stored thereon a plurality of instructions adapted to be loaded by a processor of a terminal device and execute a rail transit tunnel operational period security evaluation method according to any one of claims 1-8.
CN202011313565.7A 2020-11-20 2020-11-20 Rail transit tunnel operation period safety evaluation method, system and storage medium Pending CN112365178A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113657182A (en) * 2021-07-26 2021-11-16 西北工业大学 Target intention identification method of dynamic Bayesian network based on variable weight theory
CN115406934A (en) * 2022-08-26 2022-11-29 山东大学 Tunnel water leakage detection method, system and device with adjustable infrared thermal imager parameters

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008217592A (en) * 2007-03-06 2008-09-18 Nippon Telegr & Teleph Corp <Ntt> Language analysis model learning device, language analysis model learning method, language analysis model learning program and recording medium
CN106096847A (en) * 2016-06-16 2016-11-09 同济大学 A kind of fuzzy change weighs Engineering-geological environmental quality method
CN108876184A (en) * 2018-06-29 2018-11-23 中车建设工程有限公司 A kind of security risk evaluations and method for early warning of Railway Tunnel operation phase
CN108921372A (en) * 2018-05-17 2018-11-30 西南交通大学 Based on step analysis and the freeway tunnel operation security risk evaluating method that matter-element can be opened up
CN111242499A (en) * 2020-01-20 2020-06-05 中国地质大学(武汉) Existing tunnel lining structure disease evaluation method based on hierarchy-extension analysis
CN111445156A (en) * 2020-03-31 2020-07-24 青岛理工大学 Bias tunnel construction safety evaluation method based on variable weight fuzzy comprehensive evaluation

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008217592A (en) * 2007-03-06 2008-09-18 Nippon Telegr & Teleph Corp <Ntt> Language analysis model learning device, language analysis model learning method, language analysis model learning program and recording medium
CN106096847A (en) * 2016-06-16 2016-11-09 同济大学 A kind of fuzzy change weighs Engineering-geological environmental quality method
CN108921372A (en) * 2018-05-17 2018-11-30 西南交通大学 Based on step analysis and the freeway tunnel operation security risk evaluating method that matter-element can be opened up
CN108876184A (en) * 2018-06-29 2018-11-23 中车建设工程有限公司 A kind of security risk evaluations and method for early warning of Railway Tunnel operation phase
CN111242499A (en) * 2020-01-20 2020-06-05 中国地质大学(武汉) Existing tunnel lining structure disease evaluation method based on hierarchy-extension analysis
CN111445156A (en) * 2020-03-31 2020-07-24 青岛理工大学 Bias tunnel construction safety evaluation method based on variable weight fuzzy comprehensive evaluation

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113657182A (en) * 2021-07-26 2021-11-16 西北工业大学 Target intention identification method of dynamic Bayesian network based on variable weight theory
CN115406934A (en) * 2022-08-26 2022-11-29 山东大学 Tunnel water leakage detection method, system and device with adjustable infrared thermal imager parameters

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