CN116878699B - Tunnel safety monitoring system - Google Patents

Tunnel safety monitoring system Download PDF

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CN116878699B
CN116878699B CN202311143643.7A CN202311143643A CN116878699B CN 116878699 B CN116878699 B CN 116878699B CN 202311143643 A CN202311143643 A CN 202311143643A CN 116878699 B CN116878699 B CN 116878699B
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stress
sensor
tunnel
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stress sensor
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CN116878699A (en
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曹小平
王治霖
王建华
王楠
王少雄
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Lanzhou Jiaotong University
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Lanzhou Jiaotong University
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01LMEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
    • G01L1/00Measuring force or stress, in general
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations

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Abstract

The invention provides a tunnel safety monitoring system, and relates to the technical field of safety. The system comprises: a stress sensor and a processor; the processor is used for: determining the weight of each stress data according to the coordinates of each stress sensor; determining a stress safety evaluation score according to the stress data and the weight; determining stress concentration security fraction according to the stress data, the weight and the coordinates of the stress sensor; determining a tunnel security score according to the stress security assessment score and the stress concentration security score; and generating an alarm signal under the condition that the tunnel security score is smaller than or equal to a preset security threshold value. According to the invention, the stress change of the tunnel wall can be found in time when the stress of the tunnel wall changes, the judgment accuracy of the tunnel safety is improved, and the potential safety hazard of the tunnel is reduced.

Description

Tunnel safety monitoring system
Technical Field
The invention relates to the technical field of safety, in particular to a tunnel safety monitoring system.
Background
The construction process in the tunnel is often accompanied by various dangers, wherein, the collapse of the tunnel is one of the most dangerous conditions causing life and property loss, in the related technology, the tunnel is usually reinforced during the construction process, but if the environment of the tunnel changes, for example, the rock weight is increased due to the rock soaking of the tunnel wall, the stress change of the tunnel wall is difficult to find in time, corresponding reinforcing measures are difficult to be made, and the potential safety hazard of the tunnel may be caused.
The information disclosed in the background section of this application is only for enhancement of understanding of the general background of this application and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The embodiment of the invention provides a tunnel safety monitoring system, which can timely find the stress change of a tunnel wall when the stress of the tunnel wall changes, improve the judgment accuracy of the tunnel safety and reduce the hidden danger of the tunnel.
According to an embodiment of the present invention, there is provided a tunnel security monitoring system including: a stress sensor network arranged on the side wall of the tunnel in the tunnel, and a processor connected with each stress sensor in the stress sensor network; the stress sensor network comprises a plurality of stress sensors, wherein the plurality of stress sensors have respective coordinates, the coordinates of the stress sensors comprise first coordinates in a first direction perpendicular to the depth direction of the tunnel and second coordinates in a second direction parallel to the depth direction of the tunnel, and each stress sensor is used for detecting stress data of each position on the side wall of the tunnel in the tunnel; the processor is configured to: according to the coordinates of each stress sensor, determining the weight of stress data detected by each stress sensor; determining a stress safety evaluation score according to the stress data detected by the stress sensor and the weight of the stress data; determining a stress concentration security fraction according to the stress data detected by the stress sensor, the weight of the stress data and the coordinates of the stress sensor; determining a tunnel security score according to the stress security assessment score and the stress concentration security score; and generating an alarm signal under the condition that the tunnel security score is smaller than or equal to a preset security threshold value.
According to one embodiment of the present invention, determining weights of stress data detected by each stress sensor according to coordinates of each stress sensor includes: acquiring a first coordinate of a stress sensor; determining height data of the stress sensors according to the first coordinates, a first interval distance between the stress sensors in a first direction and the radius of the tunnel at each depth position; acquiring a second coordinate of the stress sensor; determining depth data of the stress sensor according to the second coordinates and a second interval distance between the stress sensors in a second direction; and determining the weight of the stress data detected by the stress sensor according to the height data of the stress sensor and the depth data of the stress sensor.
According to one embodiment of the present invention, determining a weight of stress data detected by the stress sensor from height data of the stress sensor and depth data of the stress sensor includes: according to the formulaDetermining the weight of the stress data detected by the stress sensor, wherein +.>Weight of stress data detected by stress sensor with first coordinate being i and second coordinate being j, +.>Height data of stress sensor with first coordinate i and second coordinate j, +.>For the maximum height at the depth position corresponding to the second coordinate j, +.>Depth data of stress sensor with first coordinate i and second coordinate j, +.>For the maximum depth of the tunnel, i and j are positive integers.
According to one embodiment of the present invention, determining a stress safety assessment score from the stress data detected by the stress sensor and the weight of the stress data includes: determining a first ratio between the number of target stress sensors, the number of which exceeds the stress threshold, and the total number of stress sensors according to the stress data detected by each stress sensor and a preset stress threshold; and determining the stress safety evaluation score according to the first proportion, the stress data detected by the stress sensor, the weight of the stress data and the preset stress threshold value.
According to one embodiment of the present invention, determining the stress safety score according to the first ratio, the stress data detected by the stress sensor, the weight of the stress data, and the preset stress threshold value includes: according to the formulaDetermining the stress safety score +.>Wherein->Stress data detected by a stress sensor with a first coordinate i and a second coordinate j, < +.>For stress threshold value->Weight of stress data detected by stress sensor with first coordinate being i and second coordinate being j, +.>The number of stress sensors in the depth position corresponding to the second coordinate j is equal to or less than or equal to i, and m is the number of stress sensors in the second direction>J.ltoreq.m, and i, j, m and +.>Are all positive integers, & gt>Is a first ratio.
According to one embodiment of the present invention, determining a stress concentration security score from the stress data detected by the stress sensor, the weight of the stress data, and the coordinates of the stress sensor includes: determining a target stress sensor with the detected stress data exceeding a stress threshold according to the stress data detected by each stress sensor and a preset stress threshold; acquiring stress data detected by a target stress sensor and the weight of the stress data detected by the target stress sensor; according to the coordinates of the target stress sensors, carrying out connected domain detection processing on the target stress sensors to obtain at least one target stress sensor cluster, and determining the number of target stress sensors in each target stress sensor cluster; and determining a stress concentration security score according to the number of target stress sensor clusters, the number of target stress sensors in each target stress sensor cluster, a preset stress threshold, stress data detected by each target stress sensor and the weight of the stress data detected by the target stress sensor.
According to one embodiment of the present invention, determining a stress concentration security score according to a number of target stress sensor clusters, a number of target stress sensors in each target stress sensor cluster, a preset stress threshold, stress data detected by each target stress sensor, and a weight of the stress data detected by the target stress sensor, includes: according to the formulaDetermining stress concentration safety fraction->Wherein, the method comprises the steps of, wherein,for stress data detected by the s-th target stress sensor in the k-th target stress sensor cluster, a>For stress threshold value->Is the s-th target stress transmission in the k-th target stress sensor clusterWeight of stress data detected by the sensor, < ->For the number of the target stress sensors in the kth target stress sensor cluster, N is the number of the target stress sensor cluster, and s is less than or equal to ∈>K is equal to or less than N, s, k, N and +.>Are all positive integers.
According to one embodiment of the invention, determining a tunnel security score from the stress security assessment score and the stress concentration security score comprises: and carrying out weighted summation on the stress safety evaluation score and the stress concentration safety score to obtain the tunnel safety score.
According to the tunnel safety monitoring system provided by the embodiment of the invention, stress data of a plurality of positions on the tunnel wall can be detected through the stress sensor network, the safety of the tunnel can be judged from the two aspects of stress and stress concentration, the stress change of the tunnel wall can be found in time when the stress of the tunnel wall changes, the judging accuracy of the tunnel safety is improved, and the hidden danger of the tunnel safety is reduced. When the stress safety evaluation score is determined, a weighted average of the deviation between the stress data and the stress threshold value can be solved, so that the stress safety evaluation score is obtained, the influence of the height and the depth of the stress sensor on the safety can be reflected by the stress safety evaluation score through weighting, the stress data exceeding the stress threshold value and the stress threshold value can be weighted when the deviation between the stress data and the stress threshold value is solved, the comparability of the subtracted data is ensured, and the accuracy and objectivity of the stress safety evaluation score are improved. When the stress concentration safety score is solved, the average value of safety deviation corresponding to each target stress sensor cluster can be determined, the ratio of the average value to the number of the target stress sensor clusters can be determined, and whether the target stress sensor measuring the stress data exceeding the safety upper limit is concentrated or not can be determined based on the ratio, so that the stress concentration safety score can objectively and accurately reflect the stress concentration condition, and the tunnel safety can be accurately reflected.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention as claimed. Other features and aspects of the present invention will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
In order to more clearly illustrate the embodiments of the invention or the solutions of the prior art, the drawings which are necessary for the description of the embodiments or the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other embodiments may be obtained from these drawings without inventive effort to a person skilled in the art,
FIG. 1 schematically illustrates a schematic diagram of a tunnel security monitoring system in accordance with an embodiment of the invention;
fig. 2 schematically shows a schematic view of a first direction and a second direction in a tunnel according to an embodiment of the invention;
fig. 3 schematically shows a schematic view of a cross section of a tunnel wall according to an embodiment of the invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The technical scheme of the invention is described in detail below by specific examples. The following embodiments may be combined with each other, and some embodiments may not be repeated for the same or similar concepts or processes.
Fig. 1 schematically illustrates a schematic diagram of a tunnel security monitoring system according to an embodiment of the invention, the system comprising: a stress sensor network arranged on the side wall of the tunnel in the tunnel, and a processor connected with each stress sensor in the stress sensor network; the stress sensor network comprises a plurality of stress sensors, wherein the plurality of stress sensors have respective coordinates, the coordinates of the stress sensors comprise first coordinates in a first direction perpendicular to the depth direction of the tunnel and second coordinates in a second direction parallel to the depth direction of the tunnel, and each stress sensor is used for detecting stress data of each position on the side wall of the tunnel in the tunnel; the processor is configured to: according to the coordinates of each stress sensor, determining the weight of stress data detected by each stress sensor; determining a stress safety evaluation score according to the stress data detected by the stress sensor and the weight of the stress data; determining a stress concentration security fraction according to the stress data detected by the stress sensor, the weight of the stress data and the coordinates of the stress sensor; determining a tunnel security score according to the stress security assessment score and the stress concentration security score; and generating an alarm signal under the condition that the tunnel security score is smaller than or equal to a preset security threshold value.
According to the tunnel safety monitoring system provided by the embodiment of the invention, stress data of a plurality of positions on the tunnel wall can be detected through the stress sensor network, the safety of the tunnel can be judged from the two aspects of stress and stress concentration, the stress change of the tunnel wall can be found in time when the stress of the tunnel wall changes, the judging accuracy of the tunnel safety is improved, and the hidden danger of the tunnel safety is reduced.
Fig. 2 schematically shows a schematic view of a first direction and a second direction in a tunnel according to an embodiment of the invention; fig. 3 schematically shows a schematic view of a cross section of a tunnel wall according to an embodiment of the invention.
According to one embodiment of the invention, stress sensors may be provided at multiple depths with the tunnel, e.g., at each depth, multiple stress sensors having the same depth coordinates may be provided to detect stress data at multiple locations on the tunnel wall at the same depth. Each stress sensor may have a first coordinate and a second coordinate, where the greater the second coordinate, the deeper the depth of the tunnel in which the stress sensor is located, and the first coordinate may have a correlation with the height of the stress sensor in the tunnel, for example, the section of the tunnel wall is arc-shaped, if the first coordinate of a certain stress sensor is the minimum or maximum value of the first coordinates of a plurality of stress sensors with the same depth, the stress sensor is located at the arc bottom, and if the first coordinate of a certain stress sensor is the intermediate value of the first coordinates of a plurality of stress sensors with the same depth, the stress sensor is located at the arc top, and the corresponding height is higher.
According to one embodiment of the invention, the height and depth of the location of the stress sensor may affect the security of the tunnel. For example, the higher the height of the position where the stress sensor is located, the higher the risk level when the stress of the position where the stress sensor is located is abnormal, for example, the tunnel top is not only lack of support, but also the higher the height, and if the situation of falling rocks or the like occurs, the risk level is higher than the tunnel side wall. For another example, the deeper the depth of the position where the stress sensor is located, the higher the risk level when the stress of the position where the stress sensor is located is abnormal, for example, if a potential safety hazard occurs in the deep tunnel, the greater the evacuation difficulty for the personnel, and thus the higher the risk level. Thus, in determining the security within the tunnel, the weight of the stress data detected by the stress sensor may be determined based on the coordinates of the stress sensor, i.e. the data detected by the stress sensor at a higher elevation as well as a deeper depth may be given a higher weight.
According to one embodiment of the present invention, determining weights of stress data detected by each stress sensor according to coordinates of each stress sensor includes: acquiring a first coordinate of a stress sensor; determining height data of the stress sensors according to the first coordinates, a first interval distance between the stress sensors in a first direction and the radius of the tunnel at each depth position; acquiring a second coordinate of the stress sensor; determining depth data of the stress sensor according to the second coordinates and a second interval distance between the stress sensors in a second direction; and determining the weight of the stress data detected by the stress sensor according to the height data of the stress sensor and the depth data of the stress sensor.
According to one embodiment of the present invention, as described above, the section of the tunnel wall is arc-shaped, and the first distance between the stress sensors in the first direction is the distance between the stress sensors on the arc line of the arc shape, the stress sensors can be considered to equally divide the arc line of the arc shape, and the distance between each equally divided point is the first distance. The height data of the stress sensor is the vertical distance between the position of the stress sensor and the chord of the arc. The height data of each stress sensor can be obtained based on the first coordinate of the stress sensor, the radius of the depth position of the stress sensor, namely, the radius of the arc, the first interval distance and other parameters, and based on geometric operation.
According to one embodiment of the present invention, the second coordinate of the stress sensor is proportional to the tunnel depth where the stress sensor is located, and if the distance between the stress sensors in the tunnel depth direction is fixed, that is, the second distance, the depth data of the stress sensor can be obtained by multiplying the second coordinate of the stress sensor by the second distance.
According to one embodiment of the present invention, as described above, the deeper the depth of the position where the stress sensor is located, the greater the weight may be given, and the higher the height of the position where the stress sensor is located, the greater the weight may be given. Determining the weight of the stress data detected by the stress sensor according to the height data of the stress sensor and the depth data of the stress sensor, wherein the weight comprises the following steps: determining the weight of the stress data detected by the stress sensor according to formula (1),
(1)
wherein,weight of stress data detected by stress sensor with first coordinate being i and second coordinate being j, +.>Height data of stress sensor with first coordinate i and second coordinate j, +.>For the maximum height at the depth position corresponding to the second coordinate j, +.>Depth data of stress sensor with first coordinate i and second coordinate j, +.>For the maximum depth of the tunnel, i and j are positive integers.
According to one embodiment of the present invention, in the formula (1), the ratio of the height data of the stress sensor to the maximum height value of all the stress sensors at the depth of the stress sensor can be solved, the ratio of the depth data of the stress sensor to the maximum depth value of the tunnel can be solved, and the weight of the stress data detected by the stress sensor can be obtained by multiplying the two ratios. Therefore, the deeper the depth of the position of the stress sensor is, the larger weight is given to the detected stress data, and the higher the height of the position of the stress sensor is, the larger weight is given to the detected stress data. And the accuracy and objectivity of reflecting the tunnel safety through the stress data are improved.
According to one embodiment of the present invention, after the above weight of the stress data is obtained, the security of the tunnel may be evaluated based on the stress data and the weight thereof. The safety of the tunnel can be evaluated in two aspects, namely, the size of stress data and whether stress concentration occurs or not.
According to one embodiment of the invention, a stress safety score is first determined based on the size and weight of the stress data. Determining a stress safety assessment score according to the stress data detected by the stress sensor and the weight of the stress data, wherein the stress safety assessment score comprises: determining a first ratio between the number of target stress sensors, the number of which exceeds the stress threshold, and the total number of stress sensors according to the stress data detected by each stress sensor and a preset stress threshold; and determining the stress safety evaluation score according to the first proportion, the stress data detected by the stress sensor, the weight of the stress data and the preset stress threshold value.
According to one embodiment of the invention, the first ratio is the ratio of the number of target stress sensors exceeding the threshold to the total number of stress sensors, the greater the ratio the more locations where there is a risk that can be considered the lower the tunnel security. The stress safety score may be solved based on the first ratio.
According to one embodiment of the present invention, determining the stress safety score according to the first ratio, the stress data detected by the stress sensor, the weight of the stress data, and the preset stress threshold value includes: determining the stress safety score according to equation (2)
(2)
Wherein,stress data detected by a stress sensor with a first coordinate i and a second coordinate j, < +.>For stress threshold value->The weight of the stress data detected by the stress sensor with the first coordinate being i and the second coordinate being j,the number of stress sensors in the depth position corresponding to the second coordinate j is equal to or less than or equal to i, and m is the number of stress sensors in the second direction>J.ltoreq.m, and i, j, m and +.>Are all positive integers, & gt>Is a first ratio.
According to one embodiment of the present invention, in equation (2),representing a weighted average of stress data exceeding a stress threshold, wherein +.>The term is a conditional function, which means that if the stress data detected by the stress sensor with the first coordinate being i and the second coordinate being j exceeds the stress threshold value, the conditional function is a weighted value for the stress data, otherwise, the conditional function is 0, and the numerator of the term is a weighted summation value for the stress data exceeding the stress threshold value. The term denominator is the product of the first proportion and the total number of the stress sensors, namely the number of the target stress sensors. Thus, a weighted average of stress data exceeding the stress threshold can be obtained by comparing the numerator and denominator of the term.
According to one embodiment of the present invention, in equation (2),the result of weighted averaging of the stress threshold using the weight of the stress data exceeding the stress threshold is shown. Wherein (1)>A condition function indicating that if the stress data detected by the stress sensor with the first coordinate being i and the second coordinate being j exceeds a stress threshold value, the condition function value is the weight of the stress data detected by the stress sensor, and therefore,representing the result of weighted summation of stress thresholds using the weight of the stress data exceeding the stress threshold. The denominator of the term is also the product of the first ratio and the total number of stress sensors, i.e. the number of target stress sensors. Thus, the term is the result of weighted averaging the stress threshold using the weight of the stress data that exceeds the stress threshold.
According to one embodiment of the present invention, in the formula (2), the above two terms are subtracted to represent a weighted average of stress data exceeding the stress threshold, and the result of the weighted average of the stress data exceeding the stress threshold and the weight of the stress data exceeding the stress threshold is subtracted from the result of the weighted average of the stress threshold, that is, the weighted average of the deviation between the stress data and the stress threshold. The ratio of the weighted average of the deviation between the stress data and the stress threshold to the stress threshold can be solved, and the larger the ratio is, the larger the amplitude between the weighted average of the stress data and the weighted average of the stress threshold is indicated, and the worse the safety is also indicated. By subtracting the ratio from 1, a stress safety evaluation score can be obtained, wherein the higher the stress safety evaluation score is, the higher the safety in the tunnel is, and conversely, the lower the stress safety evaluation score is, the lower the safety in the tunnel is.
By the method, the weighted average of the deviation between the stress data and the stress threshold value can be solved, so that the stress safety evaluation score is obtained, the influence of the height and the depth of the stress sensor on the safety can be reflected by the stress safety evaluation score through weighting, the stress data exceeding the stress threshold value and the stress threshold value can be weighted when the deviation between the stress data and the stress threshold value is solved, the comparability of the subtracted data is ensured, and the accuracy and objectivity of the stress safety evaluation score are improved.
According to one embodiment of the present invention, it may further be determined whether a phenomenon of stress concentration occurs, and determining a stress concentration security score according to the stress data detected by the stress sensor, the weight of the stress data, and the coordinates of the stress sensor, including: determining a target stress sensor with the detected stress data exceeding a stress threshold according to the stress data detected by each stress sensor and a preset stress threshold; acquiring stress data detected by a target stress sensor and the weight of the stress data detected by the target stress sensor; according to the coordinates of the target stress sensors, carrying out connected domain detection processing on the target stress sensors to obtain at least one target stress sensor cluster, and determining the number of target stress sensors in each target stress sensor cluster; and determining a stress concentration security score according to the number of target stress sensor clusters, the number of target stress sensors in each target stress sensor cluster, a preset stress threshold, stress data detected by each target stress sensor and the weight of the stress data detected by the target stress sensor.
According to one embodiment of the invention, a target stress sensor may be determined that detects stress data exceeding a stress threshold, and a weight of the stress data detected by the target stress sensor. Further, the connected domain detection process may be performed on the target stress sensor according to the coordinates of the target stress sensor, and at least one continuous target stress sensor of the first coordinates and the second coordinates may be divided into the same target stress sensor cluster. After the connected domain detection processing, at least one target stress sensor cluster can be obtained, and the number of target stress sensors in each target stress sensor cluster can be counted.
According to one embodiment of the invention, the stress data detected by each target stress sensor is detected according to the number of target stress sensor clusters, the number of target stress sensors in each target stress sensor cluster, a preset stress threshold value, and the stress data detected by each target stress sensorThe weight of the measured stress data, determining a stress concentration security score, comprising: determining a stress concentration security score according to equation (3)
(3)
Wherein,for stress data detected by the s-th target stress sensor in the k-th target stress sensor cluster, a>For stress threshold value->Weighting the stress data detected by the s-th target stress sensor in the k-th target stress sensor cluster, +.>For the number of the target stress sensors in the kth target stress sensor cluster, N is the number of the target stress sensor cluster, and s is less than or equal to ∈>K is equal to or less than N, s, k, N and +.>Are all positive integers.
According to one embodiment of the present invention, in equation (3), the deviation of the stress data detected by each target stress sensor in the kth target stress sensor cluster from the stress threshold value, and the ratio between the stress threshold values may be weighted and summed, and divided by the number of target stress sensors in the kth target stress sensor cluster, that is,can be expressed asA weighted average of deviations between the detected stress data and the upper safety limit for the target stress sensors in the kth target stress sensor cluster. Further, the weighted average value corresponding to each target stress sensor cluster may be summed and divided by the number of target stress sensor clusters, so that an average value of deviations corresponding to each target stress sensor cluster may be obtained, the average value is divided by the number of target stress sensor clusters, and the obtained result is a ratio of the average value to the number of target stress sensor clusters, where the ratio may reflect the concentration degree of stress, the smaller the number of target stress sensor clusters is, the greater the ratio is, the more concentrated the stress is, that is, the concentrated the target stress sensor measuring the stress data exceeding the upper safety limit is, and the lower the safety is, whereas the greater the number of target stress sensor clusters is, the smaller the ratio is, that is, the more dispersed the stress is, that is, the more dispersed the target stress sensor measuring the stress data exceeding the upper safety limit is, and the higher the safety is. The above ratio can be subtracted from 1 to obtain a stress concentration safety score, wherein the higher the stress concentration safety score is, the more scattered and the higher the safety is the target stress sensor measuring the stress data exceeding the safety upper limit is, and conversely, the lower the stress concentration safety score is, the more concentrated and the lower the safety is the target stress sensor measuring the stress data exceeding the safety upper limit is.
In this way, the average value of the safety deviation corresponding to each target stress sensor cluster can be determined, the ratio of the average value to the number of the target stress sensor clusters can be determined, and whether the target stress sensor measuring the stress data exceeding the upper safety limit is concentrated or not can be determined based on the ratio, so that the stress concentration safety score can objectively and accurately reflect the stress concentration condition, and the safety of the tunnel can be more accurately reflected.
According to one embodiment of the invention, determining a tunnel security score from the stress security assessment score and the stress concentration security score comprises: and carrying out weighted summation on the stress safety evaluation score and the stress concentration safety score to obtain the tunnel safety score. That is, the stress safety score and the stress concentration safety score are integrated, thereby comprehensively reflecting the tunnel safety from two aspects.
According to the tunnel safety monitoring system provided by the embodiment of the invention, stress data of a plurality of positions on the tunnel wall can be detected through the stress sensor network, the safety of the tunnel can be judged from the two aspects of stress and stress concentration, the stress change of the tunnel wall can be found in time when the stress of the tunnel wall changes, the judging accuracy of the tunnel safety is improved, and the hidden danger of the tunnel safety is reduced. When the stress safety evaluation score is determined, a weighted average of the deviation between the stress data and the stress threshold value can be solved, so that the stress safety evaluation score is obtained, the influence of the height and the depth of the stress sensor on the safety can be reflected by the stress safety evaluation score through weighting, the stress data exceeding the stress threshold value and the stress threshold value can be weighted when the deviation between the stress data and the stress threshold value is solved, the comparability of the subtracted data is ensured, and the accuracy and objectivity of the stress safety evaluation score are improved. When the stress concentration safety score is solved, the average value of safety deviation corresponding to each target stress sensor cluster can be determined, the ratio of the average value to the number of the target stress sensor clusters can be determined, and whether the target stress sensor measuring the stress data exceeding the safety upper limit is concentrated or not can be determined based on the ratio, so that the stress concentration safety score can objectively and accurately reflect the stress concentration condition, and the tunnel safety can be accurately reflected.
It will be appreciated by persons skilled in the art that the embodiments of the invention described above and shown in the drawings are by way of example only and are not limiting. The objects of the present invention have been fully and effectively achieved. The functional and structural principles of the present invention have been shown and described in the examples and embodiments of the invention may be modified or practiced without departing from the principles described.

Claims (7)

1. A tunnel security monitoring system, comprising: a stress sensor network arranged on the side wall of the tunnel in the tunnel, and a processor connected with each stress sensor in the stress sensor network; the stress sensor network comprises a plurality of stress sensors, wherein the plurality of stress sensors have respective coordinates, the coordinates of the stress sensors comprise first coordinates in a first direction perpendicular to the depth direction of the tunnel and second coordinates in a second direction parallel to the depth direction of the tunnel, and each stress sensor is used for detecting stress data of each position on the side wall of the tunnel in the tunnel; the processor is configured to: according to the coordinates of each stress sensor, determining the weight of stress data detected by each stress sensor; determining a stress safety evaluation score according to the stress data detected by the stress sensor and the weight of the stress data; determining a stress concentration security fraction according to the stress data detected by the stress sensor, the weight of the stress data and the coordinates of the stress sensor; determining a tunnel security score according to the stress security assessment score and the stress concentration security score; generating an alarm signal under the condition that the tunnel security score is smaller than or equal to a preset security threshold value; determining a stress safety assessment score according to the stress data detected by the stress sensor and the weight of the stress data, wherein the stress safety assessment score comprises: determining a first ratio between the number of target stress sensors, the number of which exceeds the stress threshold, and the total number of stress sensors according to the stress data detected by each stress sensor and a preset stress threshold; and determining the stress safety evaluation score according to the first proportion, the stress data detected by the stress sensor, the weight of the stress data and the preset stress threshold value.
2. The tunnel security monitoring system of claim 1, wherein determining the weight of the stress data detected by each stress sensor based on the coordinates of each stress sensor comprises: acquiring a first coordinate of a stress sensor; determining height data of the stress sensors according to the first coordinates, a first interval distance between the stress sensors in a first direction and the radius of the tunnel at each depth position; acquiring a second coordinate of the stress sensor; determining depth data of the stress sensor according to the second coordinates and a second interval distance between the stress sensors in a second direction; and determining the weight of the stress data detected by the stress sensor according to the height data of the stress sensor and the depth data of the stress sensor.
3. The tunnel security monitoring system of claim 2, wherein determining the weight of the stress data detected by the stress sensor based on the height data of the stress sensor and the depth data of the stress sensor comprises: according to the formulaDetermining weights of stress data detected by the stress sensor, wherein w i,j The weight of the stress data detected by the stress sensor with the first coordinate being i and the second coordinate being j is h i,j The height data of the stress sensor with the first coordinate being i and the second coordinate being j, h max,j A maximum height value d at a depth position corresponding to the second coordinate j i,j Depth data of the stress sensor with a first coordinate of i and a second coordinate of j, d max For the maximum depth of the tunnel, i and j are positive integers.
4. The tunnel security monitoring system of claim 1, wherein determining the stress security score based on the first ratio, the stress data detected by the stress sensor, the weight of the stress data, and the preset stress threshold comprises: according to the formulaDetermining the stress safety score S f Wherein F is i,j A first coordinate is i, a second coordinateStress data detected by stress sensor of j, F T Is the stress threshold, w i,j The weight of the stress data detected by the stress sensor with the first coordinate being i and the second coordinate being j, n j The number of stress sensors in the depth position corresponding to the second coordinate j is m, and the number of stress sensors in the second direction is i is less than or equal to n j J.ltoreq.m, and i, j, m and n j Are all positive integers, P 1 Is a first ratio.
5. The tunnel security monitoring system of claim 1, wherein determining a stress concentration security score from the stress data detected by the stress sensor, the weight of the stress data, and the coordinates of the stress sensor comprises: determining a target stress sensor with the detected stress data exceeding a stress threshold according to the stress data detected by each stress sensor and a preset stress threshold; acquiring stress data detected by a target stress sensor and the weight of the stress data detected by the target stress sensor; according to the coordinates of the target stress sensors, carrying out connected domain detection processing on the target stress sensors to obtain at least one target stress sensor cluster, and determining the number of target stress sensors in each target stress sensor cluster; and determining a stress concentration security score according to the number of target stress sensor clusters, the number of target stress sensors in each target stress sensor cluster, a preset stress threshold, stress data detected by each target stress sensor and the weight of the stress data detected by the target stress sensor.
6. The tunnel security monitoring system of claim 5, wherein determining the stress concentration security score based on the number of target stress sensor clusters, the number of target stress sensors in each target stress sensor cluster, a preset stress threshold, stress data detected by each target stress sensor, and a weight of the stress data detected by the target stress sensor comprises: according to the formulaDetermining stress concentration security score S c Wherein F' k,s For the stress data detected by the s-th target stress sensor in the k-th target stress sensor cluster, F T Is the stress threshold, w' k,s Weighting the stress data detected by the s-th target stress sensor in the k-th target stress sensor cluster, n k The number of the target stress sensors in the kth target stress sensor cluster is equal to or less than the number of the target stress sensor clusters, and s is equal to or less than N k K is equal to or less than N, s, k, N and N k Are all positive integers.
7. The tunnel security monitoring system of claim 5, wherein determining a tunnel security score based on the stress security assessment score and the stress concentration security score comprises: and carrying out weighted summation on the stress safety evaluation score and the stress concentration safety score to obtain the tunnel safety score.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108487916A (en) * 2018-03-13 2018-09-04 大连海事大学 Tunnel Stability protects forecasting system and rock mass in tunnel Deformation Prediction method
CN109139112A (en) * 2018-08-16 2019-01-04 中铁六局集团广州工程有限公司 A kind of automatic monitoring system of tunnel structure, automatic monitoring method and application thereof
CN111879456A (en) * 2020-07-27 2020-11-03 叶春亮 Building curtain wall safety detection method and system
CN112302722A (en) * 2020-11-17 2021-02-02 山西潞安环保能源开发股份有限公司常村煤矿 Coal mine roadway multi-azimuth stress and deformation wireless monitoring and early warning method and system
CN115655196A (en) * 2022-09-21 2023-01-31 北京住总集团有限责任公司 Tunnel confining pressure monitoring system and method

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111927558B (en) * 2020-10-13 2021-01-12 中国科学院武汉岩土力学研究所 Safety early warning method and device for full-face tunneling of dynamic water weak surrounding rock tunnel

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108487916A (en) * 2018-03-13 2018-09-04 大连海事大学 Tunnel Stability protects forecasting system and rock mass in tunnel Deformation Prediction method
CN109139112A (en) * 2018-08-16 2019-01-04 中铁六局集团广州工程有限公司 A kind of automatic monitoring system of tunnel structure, automatic monitoring method and application thereof
CN111879456A (en) * 2020-07-27 2020-11-03 叶春亮 Building curtain wall safety detection method and system
CN112302722A (en) * 2020-11-17 2021-02-02 山西潞安环保能源开发股份有限公司常村煤矿 Coal mine roadway multi-azimuth stress and deformation wireless monitoring and early warning method and system
CN115655196A (en) * 2022-09-21 2023-01-31 北京住总集团有限责任公司 Tunnel confining pressure monitoring system and method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
地铁隧道施工邻近建筑物安全风险等级评价;吴贤国;陈晓阳;丁烈云;骆汉宾;;施工技术(第07期);78-80 *

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