CN111521165A - Intelligent system for predicting risk of tunnel construction - Google Patents

Intelligent system for predicting risk of tunnel construction Download PDF

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CN111521165A
CN111521165A CN202010443396.2A CN202010443396A CN111521165A CN 111521165 A CN111521165 A CN 111521165A CN 202010443396 A CN202010443396 A CN 202010443396A CN 111521165 A CN111521165 A CN 111521165A
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tunnel
information acquisition
acquisition unit
vault
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CN111521165B (en
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张朝贵
王昊卿
陈书华
郑甲佳
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China Road and Bridge Corp
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C15/00Surveying instruments or accessories not provided for in groups G01C1/00 - G01C13/00
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/16Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C5/00Measuring height; Measuring distances transverse to line of sight; Levelling between separated points; Surveyors' levels
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/0635Risk analysis of enterprise or organisation activities

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Abstract

The invention discloses an intelligent system for predicting tunnel construction risks, which comprises an information acquisition module, a risk prediction module connected with an information acquisition unit and a feedback early warning module connected with the risk prediction module, wherein: the information acquisition module includes tunnel body information acquisition unit, tunnel body information acquisition unit includes: a vault monitoring device; the two groups of arch waist monitoring devices are respectively arranged in one-to-one correspondence with the arch waists at the two sides of the tunnel; the risk prediction module is used for acquiring and analyzing the information acquired by the information acquisition module to predict risks; and the feedback early warning module is used for early warning according to a risk prediction result. The method has the advantages of improving the detection accuracy of the risk prediction data and further improving the risk prediction accuracy.

Description

Intelligent system for predicting risk of tunnel construction
Technical Field
The invention relates to the technical field of tunnel construction equipment. More specifically, the invention relates to an intelligent system for predicting tunnel construction risks.
Background
The tunnel construction process comprises a survey design stage, a construction stage and an operation management stage, wherein in the construction stage, the tunnel state is effectively monitored, the construction risk is predicted, the construction safety is ensured, the accident is timely avoided, and the tunnel construction process has important significance for the national safety. At the beginning of a tunnel accident, great deformation or displacement is inevitably generated, so that the tunnel construction risk is assessed by monitoring the deformation or displacement of the tunnel, and early warning is carried out in a matched manner, so that the method is simple, direct and effective.
The existing tunnel deformation or position instrument monitoring is limited to vault settlement and horizontal convergence, namely deformation is measured in a one-dimensional space, so that incomplete deformation data acquisition is caused, the tunnel construction risk is evaluated by monitoring the tunnel deformation in the multi-dimensional space, and the risk prediction accuracy is improved.
Disclosure of Invention
An object of the present invention is to solve at least the above problems and to provide at least the advantages described later.
The invention also aims to provide an intelligent system for predicting risk in tunnel construction, which can continuously acquire vault settlement data or vault translation data along the depth direction of a tunnel by setting vault monitoring equipment, can effectively distinguish the horizontal convergence and inclined convergence states of the vault by further matching with the setting of arch waist monitoring equipment, and meanwhile, acquires corresponding data, improves the detection accuracy of risk prediction data and further improves the risk prediction accuracy.
To achieve these objects and other advantages in accordance with the present invention, there is provided an intelligent system for predicting risk in tunnel construction, including an information acquisition module, a risk prediction module connected to the information acquisition unit, and a feedback and early warning module connected to the risk prediction module, wherein:
the information acquisition module includes tunnel body information acquisition unit, tunnel body information acquisition unit includes:
the vault monitoring equipment comprises a bottom surface track and a vault track, wherein the bottom surface track is arranged on a ballast bed respectively along the longitudinal extension direction of a tunnel, the vault track is arranged on a vault, a trolley walks on the bottom surface track, an upright post is fixedly arranged on the trolley, a moving post is horizontally arranged on the top surface of the upright post in a sliding manner, a roller assembly is arranged on the vault track in a sliding manner, a spiral spring is arranged between the roller assembly and the moving post, a first position sensor is arranged on the top surface of the moving post and used for detecting the relative displacement between the roller assembly and the moving post, and a second position sensor is arranged on the top surface of the upright post and used for detecting the horizontal displacement of the moving;
the tunnel arch waist monitoring device comprises two groups of arch waist monitoring devices, wherein the two groups of arch waist monitoring devices are respectively arranged in one-to-one correspondence with arch waists on two sides of a tunnel, each group of arch waist monitoring devices comprises at least one row of mark rings painted on the inner wall of the arch waist of the tunnel, at least one laser range finder arranged on the side wall of the upright post and corresponding to each row of mark rings and a camera corresponding to each laser range finder, when the mark rings are arranged in at least two rows, the at least two rows of mark rings are arranged at intervals along the cross section of the arch waist, each row of mark rings comprises a plurality of mark rings arranged at intervals along the longitudinal extension direction of the tunnel, each mark ring comprises an inner circle and annular rings which are sequentially diffused from inside to outside by taking the inner circle as the center, and the;
the risk prediction module is used for acquiring and analyzing the information acquired by the information acquisition module to predict risks;
and the feedback early warning module is used for early warning according to a risk prediction result.
Preferably, the roller assembly includes a support connected to the movable column via a coil spring and having a cylindrical groove, a roller support rotatably connected to the support via the groove, and a roller rotatably disposed on the roller support, wherein the roller support is provided with an angle sensor for detecting a rotation angle of the roller support with respect to the support.
Preferably, at least 2 telescopic rods are arranged between the support and the moving column at equal intervals along the circumferential direction of the coil spring, wherein the length of the telescopic rods compressed to the shortest length is shorter than the length of the coil spring compressed to the shortest length.
Preferably, the inner circle has a diameter of 2mm, and the inner circles of each row of marker rings are connected to form a line extending in the longitudinal direction of the tunnel.
Preferably, each laser range finder and the corresponding camera are arranged on the side wall of the upright post through an adjusting piece, three slideways are arranged on the side wall of the upright post opposite to the at least one row of marking rings at equal intervals along the depth direction of the tunnel, the slide ways are arranged along the height direction of the upright post, the adjusting piece comprises a top plate, a U-shaped frame, one end of the U-shaped frame is arranged in the slide ways at the two sides in a sliding way and is positioned below the top plate, a horizontal plate, one end of the horizontal plate is arranged in the middle slide way in a sliding way and is positioned below the top plate, a first telescopic motor, two second telescopic motors and a third telescopic motor, the two second telescopic motors are used for connecting the two side walls of the U-shaped frame and the top plate, the laser range finder is fixedly arranged at the free end of a third telescopic motor to drive the laser range finder to move along the direction perpendicular to the middle slideway through the third telescopic motor, and the camera is arranged on the front end face of the U-shaped frame.
Preferably, the information collecting module further includes: the system comprises a peripheral environment information acquisition unit, a tunnel peripheral environment information acquisition unit and a tunnel environment information acquisition unit, wherein the peripheral environment information acquisition unit is used for acquiring the peripheral environment information of the tunnel;
the geological information acquisition unit is used for acquiring geological information along with the advancement of tunnel construction;
and the construction information acquisition unit is used for acquiring construction information along with the advancement of tunnel construction.
The invention at least comprises the following beneficial effects:
through the setting of vault monitoring facilities, can follow tunnel depth direction, incessantly acquire vault settlement data or vault translation data, further cooperate the setting of hunch waist monitoring facilities, can effectively distinguish hunch waist level convergence and slope convergence state, simultaneously, acquire corresponding data, improve risk prediction data detection accuracy, further improve the risk prediction degree of accuracy.
Furthermore, the roller wheel support can be rotatably arranged in the support, so that the angle adjustment of the roller wheel on the horizontal plane is realized, the three-dimensional direction adjustment is provided for the roller wheel by matching the movement along the x axis and the extension along the y axis, so that the trolley drives the roller wheel to advance to be suitable for the deformation of any vault track, corresponding data are obtained by matching the first position sensor, the second position sensor and the angle sensor, the integrity of vault deformation data is realized, the three data are not influenced, and the accuracy of the obtained data is improved;
still further, the interior circle of every row of mark circle is connected and is constituted the line that extends along tunnel longitudinal direction, accessible laser range finder sends the laser beam, cooperation camera is to encircleing the waist along tunnel depth direction, whether there is the slope convergence in the preliminary quick judgement that carries out uninterrupted, further cooperation laser range finder judges whether there is the level convergence, promote the continuity to encircleing the waist monitoring, finally, through first flexible motor, the flexible motor of third, cooperation camera and laser range finder acquire the three-dimensional displacement of encircleing the waist fixed point, provide more audio-visual data for risk assessment.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention.
Drawings
Fig. 1 is a structural block diagram of an intelligent system for predicting tunnel construction risk according to one embodiment of the present invention;
fig. 2 is a schematic structural diagram of a vault monitoring device and a vault monitoring device according to one technical scheme of the invention;
fig. 3 is a schematic structural diagram of a vault monitoring device and a vault monitoring device along a tunnel cross section according to one technical scheme of the invention;
FIG. 4 is a schematic diagram of the distribution structure of the marker circle according to one embodiment of the present invention;
FIG. 5 is an enlarged view of portion A of FIG. 2 according to the present invention;
fig. 6 is an enlarged structural view of a portion B of fig. 3 according to the present invention.
The reference numerals are specifically: a bottom surface rail 1; a dome track 2; a trolley 3; a column 4; a moving post 40; a coil spring 41; a telescopic rod 42; a roller assembly 5; supporting 50; a roller holder 51; a roller 52; a marker band 6; an inner circle 60; an annular ring 61; a laser range finder 7; a camera 8; a top plate 9; a U-shaped frame 90; a horizontal plate 91; a first telescopic motor 92; a second telescopic motor 93; a third telescoping motor 94.
Detailed Description
The present invention is further described in detail below with reference to the attached drawings so that those skilled in the art can implement the invention by referring to the description text.
It will be understood that terms such as "having," "including," and "comprising," as used herein, do not preclude the presence or addition of one or more other elements or groups thereof.
As shown in fig. 1 to 6, the present invention provides an intelligent system for predicting a risk in tunnel construction, which includes an information acquisition module, a risk prediction module connected to the information acquisition unit, and a feedback early warning module connected to the risk prediction module, wherein:
the information acquisition module includes tunnel body information acquisition unit, tunnel body information acquisition unit includes:
the vault monitoring equipment comprises a bottom surface track 1 and a vault track 2, wherein the bottom surface track 1 is arranged on a track bed along the longitudinal extension direction of a tunnel, the vault track 2 is arranged on a vault, a trolley 3 runs on the bottom surface track 1, an upright post 4 is fixedly arranged on the trolley 3, a moving post 40 is horizontally arranged on the top surface of the upright post 4 in a sliding manner, a roller 52 component 5 is arranged on the vault track 2 in a sliding manner, a spiral spring 41 is arranged between the roller 52 component 5 and the moving post 40, a first position sensor is arranged on the top surface of the moving post 40 and used for detecting the relative displacement between the roller 52 component 5 and the moving post 40, and a second position sensor is arranged on the top surface of the upright post 4 and used for detecting the horizontal displacement of the moving post;
two groups of arch waist monitoring devices which are respectively arranged corresponding to the arch waists at two sides of the tunnel one by one, namely a group of arch waist monitoring devices is arranged corresponding to the arch waists at each side, each group of arch waist monitoring devices comprises at least one row of marking rings 6 painted on the inner wall of the arch waists of the tunnel, at least one laser range finder 7 arranged on the side wall of the upright post 4 and corresponding to each row of marking rings 6 and a camera 8 corresponding to each laser range finder 7, wherein when the marking rings 6 are in at least two rows, at least two rows of marking rings 6 are arranged at intervals along the cross section of the arch waists, each row of marking rings 6 comprises a plurality of marking rings arranged at intervals along the longitudinal extension direction of the tunnel, each marking ring 6 comprises an inner circle 60 and annular rings 61 which are sequentially diffused from inside to outside by taking the inner circle 60 as the center, the annular rings 61 of each marking ring 6 have different marks, for one marking ring 6, the outer circles of the adjacent two annular rings 61 are overlapped with the inner circles, the different marks can be distinguished by gradient colors, different filling patterns, scale marks and the like, and preferably, the annular rings 61 can be arranged at equal intervals, for example, at intervals of 1 cm; the annular ring 61 can also determine the deformation grade according to the existing tunnel arch deformation summary, the annular ring 61 is preliminarily divided from inside to outside according to the grade to give a more visual effect, for example, the annular ring 61 comprises three annular rings from inside to outside, and the three annular rings from inside to outside 61 respectively take 0.02 b%, 0.05 b% and 0.1 b% as the outer diameter, wherein b is the tunnel excavation width (m);
the risk prediction module is used for acquiring and analyzing the information acquired by the information acquisition module to predict risks;
and the feedback early warning module is used for early warning according to a risk prediction result.
In the above technical solution, for the vault monitoring device, a y axis and a Z axis are defined along the longitudinal extension direction of the tunnel, a direction from one side of the vault to the other side of the vault is defined as an x axis, the vault track 2 is set to ensure that the vault track is deformed together with the wall surface of the top of the tunnel to reflect the real deformation of the top surface of the tunnel, the setting of the bottom track 1 is to provide a reference for the setting of the whole system, so that the accuracy of the bottom track 1 as the reference needs to be regularly monitored and timely corrected, at the initial setting, the vault track 2 is matched with the bottom track 1 and is set along the y axis extension direction, that is, the vault track 2 is located right above the bottom track 1, preferably, the upright column 4 is a cube, wherein the opposite side surfaces are arranged opposite to the vault waist of the tunnel, and the top surface of the upright column 4 is provided with at least two slideways at intervals along the depth direction of, the slideway is arranged along the direction of an x axis so that the moving column 40 can move along the direction of the x axis relative to the upright column 4, the roller 52 assembly 5 is used for being connected with the moving column 40 through a spiral spring 41, in the initial measurement (as reference data) walking process, the spiral spring 41 is in a compression state so as to enable the roller 52 assembly 5 to be in a contact state with the vault track 2, when the laser range finder 7 works, a pulse laser beam is emitted to a target, a laser measuring point is formed at the corresponding position of the arch, when the laser measuring point formed by the laser range finder 7 is concentric with one of the inner circles 60, the shooting range of the corresponding camera 8 at least comprises the mark ring 6 corresponding to the inner circle 60, in the using process, a corresponding device is arranged, and after the arrangement, the reference data acquisition is carried out, wherein one mode is specifically:
the walking trolley 3 moves along the longitudinal direction of the tunnel, and firstly, the data of the horizontal position and the vertical position of the arch top on the cross section of the tunnel are synchronously collected through a first position sensor and a second position sensor along the moving direction; secondly, a positioning is formed corresponding to each inner circle 60 along the moving direction (when the mark rings 6 are at least two rows, a plurality of rows of mark rings 6 are formed along the cross section direction of the tunnel, namely, at least two rows of mark rings 6 form an m x n matrix), when the trolley 3 is driven to one of the positioning rows, the camera 8 and the laser range finder 7 are started, and the distance S between the corresponding inner circle 60 and the laser range finder 7 is obtained0(ii) a The operation is circulated at least twice, and the adjusting device is synchronously corrected to ensure the stability of data detection of the device;
in the detection process, the reference data obtained by the first displacement sensor is taken as 0 as a reference, and the relative displacement of the roller 52 assembly 5 relative to the moving column 40, namely the vault settlement data, is obtained by the first displacement sensor; taking the datum data obtained by the second displacement sensor as 0 as a reference, obtaining the relative displacement of the moving column 40 relative to the upright column 4 through the second displacement sensor, namely, the vault translation data;
the information acquisition module further comprises a data screening unit, wherein basic data are stored in the data screening unit, displacement data are obtained through the first displacement sensor or the second displacement sensor and then are sent to the data screening unit, the displacement data are compared with the basic data stored in the data screening unit to obtain vault settlement data and vault translation data, whether the vault settlement data or the vault translation data are 0 or not is judged, if yes, the original displacement data and the obtained vault settlement data or the obtained vault translation data are deleted, and if not, the vault settlement data or the vault translation data are sent to the risk prediction module;
in the detection process, when the trolley 3 moves to one of the positioning positions, the laser range finder 7 is started and the camera 8 is synchronously started, and the laser range finder 7 is adopted to measure the distance S1Taking a photograph by means of the camera 8, S1And the photo is sent to a data screening unit, the data screening unit judges whether the laser measuring point formed by the laser range finder 7 is concentric with the corresponding positioning inner circle 60 or not according to the photo, and judges S1Whether or not equal to S0If concentric and equal, delete S1And photo data, if concentric but S1Is not equal to S0Obtaining the horizontal convergence data (S) of the corresponding fixed point of the arch waist1-S0) Sending the data to a risk prediction module, and obtaining the distance S from the laser measuring point to the center of the inner circle 60 through a picture if the data are different from the center of the circle2And an inclination angle α, and obtaining inclination convergence data (S) of the fixed point corresponding to the arch waist1-S0) The inclination distance S2And the dip angle α is sent to a risk prediction module;
the risk prediction module is connected with the data screening unit and used for acquiring information data which are acquired by the tunnel body information acquisition unit and screened by the screening unit and judging deformation grades according to corresponding data, wherein the specific judgment mode can be that a deformation grade threshold value division table of the tunnel to be detected is obtained according to historical data of the formed tunnel, the deformation grade corresponding to the corresponding data is judged according to the threshold value division table, and a fuzzy mathematics comprehensive judgment method can also be adopted for judgment, for example, the number of people participating in evaluation is determined to be 6, and the evaluation factors are as follows: vault sag, vault translation, horizontal convergence data (or oblique convergence data (S))1-S0) The inclination distance S2And inclination α), each evaluation factor setting is given 5 evaluation grades (0-2, 2-4, 4-6, 6-8, 8-10, the higher the score is, the higher the risk factor is), resulting in two evaluation tables as shown below:
Figure BDA0002504961820000061
Figure BDA0002504961820000062
further giving a weight to each evaluation factor, obtaining the weight of each evaluation factor through an expert comprehensive evaluation method, obtaining an evaluation matrix, further obtaining a comprehensive evaluation score, and dividing risk grades according to the comprehensive evaluation score, wherein the evaluation factors have the effect of a negative decision system according to expert judgment, namely when a certain evaluation factor exceeds a set threshold value, directly corresponding to the risk grade judgment without considering other evaluation factors and specifically determined according to actual conditions;
the feedback early warning module is used for early warning the risk prediction result of the risk prediction module, the early warning is divided according to risk grades, and if the risk grades are three-grade no risk, low risk and high risk, the early warning correspondence can comprise no warning, light warning and heavy warning. By adopting the technical scheme, through the arrangement of the vault monitoring equipment, vault settlement data or vault translation data can be obtained continuously along the depth direction of the tunnel, the vault horizontal convergence and inclined convergence states can be effectively distinguished by further matching with the arrangement of the vault monitoring equipment, meanwhile, corresponding data are obtained quickly, the detection accuracy of risk prediction data is improved, the risk prediction accuracy is further improved, and meanwhile, comprehensive deformation of the vault can be judged comprehensively through detection on the continuity of the vault.
In another technical solution, the roller 52 assembly 5 includes a holder 50 connected to the moving column 40 through a coil spring 41 and having a cylindrical groove, a roller 52 holder 51 rotatably connected to the holder 50 through the groove, and a roller 52 rotatably disposed on the roller 52 holder 51, wherein an angle sensor for detecting a rotation angle of the roller 52 holder 51 relative to the holder 50 is disposed on the roller 52 holder 51. By adopting the scheme, the roller 52 support 51 can be rotatably arranged in the bearing 50, so that the angle adjustment of the roller 52 on the horizontal plane is realized, the roller 52 is matched with the movement along the x axis and the stretching along the y axis to provide three-dimensional direction adjustment for the roller 52, so that the advance of the roller 52 driven by the trolley 3 is suitable for the deformation of any vault track 2, and the corresponding data is obtained by matching the first position sensor, the second position sensor and the angle sensor, the completeness of vault deformation data acquisition is realized, the acquisition of the three data is not influenced mutually, and the accuracy of the acquired data is improved.
In another technical solution, at least 2 telescopic rods 42 are arranged between the support 50 and the moving column 40 at equal intervals along the circumferential direction of the coil spring 41, wherein the length of the telescopic rods 42 compressed to the shortest length is shorter than the length of the coil spring 41 compressed to the shortest length. By adopting the scheme, the telescopic rod 42 is arranged to fix the relative position between the support 50 and the moving column 40 on the horizontal plane, so that the stability of the device is improved.
In another solution, the inner circle 60 has a diameter of 2mm, and the inner circles 60 of each row of marker rings 6 are connected to form a line extending in the longitudinal direction of the tunnel. Adopt this kind of scheme, in the use, accessible laser range finder 7 sends the laser beam, cooperates camera 8 to encircle the waist along tunnel depth direction, carries out the incessant preliminary quick judgement whether to have the slope convergence, further cooperates laser range finder 7 to judge whether to have the horizontal convergence, promotes the continuity to encircleing the waist monitoring.
In another technical scheme, each laser range finder 7 and the corresponding camera 8 are arranged on the side wall of the upright 4 through an adjusting piece, the side wall of the upright 4 opposite to at least one row of marking rings 6 is provided with three slideways at equal intervals along the depth direction of the tunnel, the slideways are arranged along the height direction of the upright 4, the adjusting piece comprises a top plate 9 (horizontally arranged) fixedly arranged on the side wall of the upright 4, a U-shaped frame 90 (horizontally arranged) with an open end arranged in the slideways at two sides and positioned below the top plate 9 in a sliding way, a horizontal plate 91 with one end arranged in a sliding way in the middle and positioned below the top plate 9 (the size of the horizontal plate 91 is set to be an accessible U-shaped frame 90), a first telescopic motor 92 for connecting the horizontal plate 91 and the top plate 9, two second telescopic motors 93 for connecting two side walls of the U-shaped frame 90 and the top plate 9, and a, wherein the laser range finder 7 is fixedly arranged at the free end of the third telescopic motor 94 so as to drive the laser range finder 7 to hang down through the third telescopic motor 94The camera 8 is arranged on the front end face of the U-shaped frame 90 and moves in the direction of the middle slide way. In the using process, the device also comprises a PLC programmable control unit, the first telescopic motor 92, the two second telescopic motors 93, the third telescopic motor 94 and the data screening unit are all connected with the PLC programmable control unit, and when the data screening unit determines that the corresponding fixed point of the arch waist is horizontal convergence, the PLC programmable control unit is used for horizontally converging data (S)1-S0) Sending the risk prediction information to a risk prediction module; when the data screening unit determines that the arch waist corresponding fixed point is oblique convergence, the data screening unit passes through the oblique distance S of photo reaction2And judging the vertical distance moved by the laser range finder 7 driven by the movement of the first telescopic motor 92 and the horizontal distance moved by the laser range finder 7 driven by the movement of the third telescopic motor 94 according to the information of the inclination angle α, controlling the first telescopic motor 92 and the third telescopic motor 94 to work through the PLC unit to perform primary adjustment, obtaining a photo after adjustment, performing secondary adjustment until the laser range finder 7 forms a laser measuring point concentric with the corresponding positioning inner circle 60, and obtaining the displacement S of the first telescopic motor 92zDisplacement S of the third telescopic motor 94xAnd the distance S measured by the laser range finder 71', will Sz、Sx、S1’-S0And sending the data to a risk prediction module, and controlling a first telescopic motor 92, a second telescopic motor 93 and a third telescopic motor 94 to recover to the initial positions through a PLC (programmable logic controller). By adopting the scheme, the first telescopic motor 92 and the third telescopic motor 94 are matched with the camera 8 and the laser range finder 7 to obtain the three-dimensional displacement of the fixed point of the arch waist, so that more intuitive data are provided for risk assessment.
In another technical solution, the information acquisition module further includes: the system comprises a peripheral environment information acquisition unit, a tunnel peripheral environment information acquisition unit and a tunnel environment information acquisition unit, wherein the peripheral environment information acquisition unit is used for acquiring the peripheral environment information of the tunnel;
the geological information acquisition unit is used for acquiring geological information along with the advancement of tunnel construction;
and the construction information acquisition unit is used for acquiring construction information along with the advancement of tunnel construction. By adopting the scheme, in the risk prediction of tunnel construction in a close range behind the tunnel face, tunnel face geological information is acquired in real time according to a geological information acquisition unit and is further used as an index factor to participate in the risk prediction, so that the prediction accuracy is improved, further, the peripheral environment information comprises information such as peripheral stratum information, underground pipeline burying information, peripheral building information, peripheral road information and the like, and the geological information comprises: stratigraphic lithology (rock name, color, structural plane occurrence, rock structure, diagenesis and cementation, soft and hard state), weathering degree, fracture characteristics (joint development degree and fracture occurrence), surrounding rock classification, unfavorable geological phenomena, engineering geological evaluation, sketch, palm surface photo and the like; the construction information includes: the method comprises the steps of engineering progress, excavation face positions, personnel configuration, mechanical configuration, excavation methods and the like, wherein the specifically selected criteria of the judgment criteria can be obtained through expert judgment in combination with reality, and meanwhile, the importance weight of each product standard can be obtained in the same manner.
The number of apparatuses and the scale of the process described herein are intended to simplify the description of the present invention. Applications, modifications and variations of the intelligent system for predicting risk of tunnel construction of the present invention will be apparent to those skilled in the art.
While embodiments of the invention have been described above, it is not limited to the applications set forth in the description and the embodiments, which are fully applicable in various fields of endeavor to which the invention pertains, and further modifications may readily be made by those skilled in the art, it being understood that the invention is not limited to the details shown and described herein without departing from the general concept defined by the appended claims and their equivalents.

Claims (6)

1. Tunnel construction risk prediction intelligent system, its characterized in that, including information acquisition module, with the risk prediction module that information acquisition unit is connected, with the feedback early warning module that the risk prediction module is connected, wherein:
the information acquisition module includes tunnel body information acquisition unit, tunnel body information acquisition unit includes:
the vault monitoring equipment comprises a bottom surface track and a vault track, wherein the bottom surface track is arranged on a ballast bed respectively along the longitudinal extension direction of a tunnel, the vault track is arranged on a vault, a trolley walks on the bottom surface track, an upright post is fixedly arranged on the trolley, a moving post is horizontally arranged on the top surface of the upright post in a sliding manner, a roller assembly is arranged on the vault track in a sliding manner, a spiral spring is arranged between the roller assembly and the moving post, a first position sensor is arranged on the top surface of the moving post and used for detecting the relative displacement between the roller assembly and the moving post, and a second position sensor is arranged on the top surface of the upright post and used for detecting the horizontal displacement of the moving;
the tunnel arch waist monitoring device comprises two groups of arch waist monitoring devices, wherein the two groups of arch waist monitoring devices are respectively arranged in one-to-one correspondence with arch waists on two sides of a tunnel, each group of arch waist monitoring devices comprises at least one row of mark rings painted on the inner wall of the arch waist of the tunnel, at least one laser range finder arranged on the side wall of the upright post and corresponding to each row of mark rings and a camera corresponding to each laser range finder, when the mark rings are arranged in at least two rows, the at least two rows of mark rings are arranged at intervals along the cross section of the arch waist, each row of mark rings comprises a plurality of mark rings arranged at intervals along the longitudinal extension direction of the tunnel, each mark ring comprises an inner circle and annular rings which are sequentially diffused from inside to outside by taking the inner circle as the center, and the; the risk prediction module is used for acquiring and analyzing the information acquired by the information acquisition module to predict risks; and the feedback early warning module is used for early warning according to a risk prediction result.
2. The intelligent system for predicting tunnel construction risk according to claim 1, wherein the roller assembly comprises a support connected with the movable column through a coil spring and having a cylindrical groove, a roller support rotatably connected with the support through a groove, and a roller rotatably disposed on the roller support, wherein an angle sensor for detecting a rotation angle of the roller support relative to the support is disposed on the roller support.
3. The intelligent system for predicting tunnel construction risk according to claim 2, wherein at least 2 telescopic rods are arranged between the support and the moving column at equal intervals along the circumferential direction of the coil spring, and the length of the telescopic rods when the telescopic rods are compressed to the shortest length is shorter than the length of the coil spring when the coil spring is compressed to the shortest length.
4. The intelligent system for predicting tunnel construction risk according to claim 1, wherein the inner circle has a diameter of 2mm, and the inner circles of each row of the marker circles are connected to form a line extending in a longitudinal direction of the tunnel.
5. The intelligent system for predicting tunnel construction risk according to claim 1, wherein each laser range finder and the corresponding camera are arranged on the side wall of the upright post through an adjusting piece, the side wall of the upright post opposite to at least one row of marking rings is provided with three slideways at equal intervals along the depth direction of the tunnel, the slideways are arranged along the height direction of the upright post, the adjusting piece comprises a top plate, a U-shaped frame with an open end arranged in the slideways at two sides in a sliding way and positioned below the top plate, a horizontal plate with one end arranged in the middle slideway and positioned below the top plate in a sliding way, a first telescopic motor used for connecting the horizontal plate and the top plate, two second telescopic motors used for connecting the two side walls of the U-shaped frame and the top plate, and a third telescopic motor arranged above the horizontal plate, wherein the laser range finder is fixedly arranged at the free end of the third telescopic motor so as to drive the laser range finder to move along the direction, the camera is arranged on the front end face of the U-shaped frame.
6. The intelligent system for predicting risk of tunnel construction according to claim 2, wherein the information collection module further comprises: the system comprises a peripheral environment information acquisition unit, a tunnel peripheral environment information acquisition unit and a tunnel environment information acquisition unit, wherein the peripheral environment information acquisition unit is used for acquiring the peripheral environment information of the tunnel;
the geological information acquisition unit is used for acquiring geological information along with the advancement of tunnel construction;
and the construction information acquisition unit is used for acquiring construction information along with the advancement of tunnel construction.
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