CN116579499B - Highway tunnel construction method and system - Google Patents
Highway tunnel construction method and system Download PDFInfo
- Publication number
- CN116579499B CN116579499B CN202310679801.4A CN202310679801A CN116579499B CN 116579499 B CN116579499 B CN 116579499B CN 202310679801 A CN202310679801 A CN 202310679801A CN 116579499 B CN116579499 B CN 116579499B
- Authority
- CN
- China
- Prior art keywords
- geological data
- geological
- current
- association degree
- tunnel face
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000010276 construction Methods 0.000 title claims abstract description 29
- 238000001514 detection method Methods 0.000 claims abstract description 36
- 238000012545 processing Methods 0.000 claims abstract description 20
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000000034 method Methods 0.000 claims description 9
- 238000012423 maintenance Methods 0.000 claims description 7
- 238000005553 drilling Methods 0.000 description 8
- 230000009286 beneficial effect Effects 0.000 description 7
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 6
- 238000004458 analytical method Methods 0.000 description 4
- 238000012216 screening Methods 0.000 description 4
- 230000009172 bursting Effects 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000004888 barrier function Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000002068 genetic effect Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000001028 reflection method Methods 0.000 description 1
- 239000011435 rock Substances 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
- G06Q50/265—Personal security, identity or safety
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Development Economics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Educational Administration (AREA)
- Computer Security & Cryptography (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Data Mining & Analysis (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention relates to the technical field of highway tunnel construction methods, and particularly discloses a highway tunnel construction method and system, wherein the highway tunnel construction method comprises the following steps: geological detection is carried out right in front of the current tunnel face, and corresponding first geological data are generated; according to the corresponding first geological data, matching corresponding first association degree and second association degree based on the association degree prediction model, and calculating second geological data corresponding to two sides of the current tunnel face and third geological data corresponding to the obliquely upper side of the current tunnel face based on the first association degree and the second association degree; predicting the geological condition of the current tunnel face based on a geological prediction model according to the first geological data, the second geological data and the third geological data, and generating a corresponding prediction result; and generating a corresponding processing report according to the prediction result.
Description
Technical Field
The invention relates to the technical field of highway tunnel construction methods, in particular to a highway tunnel construction method and system.
Background
When a highway tunnel is constructed, the tunnel is usually subjected to advanced geological forecast in consideration of the safety problem of operators, so that the geological condition of the tunnel is monitored, geological radar detection is usually used as a main means in the prior art, but the geological condition right in front of the tunnel face is generally detected by the geological radar detection mode, the geological conditions of the obliquely upper part and the two sides of the tunnel face cannot be reflected, and the corresponding limitation is relatively large, so that the operators cannot know the geological condition of the tunnel face of the current operation in the operation, and cannot judge the safety of the tunnel face timely and accurately, so that the operators have huge potential risks in the operation.
In order to solve the above problems, the detection equipment is set up corresponding to the tunnel face, obliquely above the tunnel face and on two sides of the tunnel face, so that the overall detection of tunnel geology is realized, and the geological condition of the tunnel face is judged.
Disclosure of Invention
The technical problem solved by the invention is to provide the highway tunnel construction method and the system, which can timely and rapidly judge the geological information of each azimuth of the tunnel face and reduce the unknown sense of the operation of operators.
The basic scheme provided by the invention is as follows: a highway tunnel construction method comprises the following steps:
s1, performing geological detection on the right front of a current tunnel face to generate corresponding first geological data;
s2, matching corresponding first association degrees and second association degrees based on the association degree prediction model according to the corresponding first geological data, and calculating second geological data corresponding to two sides of the current tunnel face and third geological data corresponding to the obliquely upper side of the current tunnel face based on the first association degrees and the second association degrees; the first association degree is the geological data association degree between the right front side and the two sides of the current tunnel face, and the second association degree is the geological data association degree between the right front side and the obliquely upper side of the current tunnel face;
s3, predicting the geological condition of the current tunnel face based on a geological prediction model according to the first geological data, the second geological data and the third geological data, and generating a corresponding prediction result;
s4, generating a corresponding processing report according to the prediction result.
The principle and the advantages of the invention are as follows: in the scheme, the corresponding first geological data is generated by detecting the geological data right in front of the current tunnel face, then the corresponding first association degree and second association degree are matched based on the association degree prediction model according to the corresponding first geological data, the second geological data corresponding to the two sides of the current tunnel face and the third geological data corresponding to the obliquely upper side of the current tunnel face are calculated based on the first association degree and the second association degree, then the geological condition of the current tunnel face is predicted based on the corresponding first geological data, the second geological data and the third geological data, so that the geological condition of the current tunnel face is known, generation of corresponding processing reports can be performed according to the prediction results, operators can be well promoted through the processing reports, and accidents are avoided.
In the prior art, when the geological data of the tunnel face is predicted, the LTD advanced geological radar is usually adopted, but the method can only detect the geological condition right in front of the tunnel face and cannot reflect the geological conditions of the obliquely upper side and the two sides of the tunnel face, so that the geological data detection of the tunnel face is limited, incomplete and high in uncertainty, operators cannot know the geological condition of the tunnel face, and reasonable measures cannot be timely taken when facing crisis, and the construction safety and smoothness cannot be guaranteed.
According to the scheme, various detection devices are not arranged to detect the geological data of the current tunnel face in all directions, but only the geological data of the current tunnel face in front of the current tunnel face are detected, and then the geological data of the inclined upper part and the two sides of the current tunnel face are subjected to association calculation in a first association degree and a second association degree mode through the geological data of the current tunnel face, so that the geological data of the inclined upper part and the two sides of the current tunnel face are obtained.
According to the method, calculation of geological data corresponding to the upper part and the two sides of the current tunnel face is achieved, the reliability of the corresponding geological data is improved, meanwhile, the operation steps corresponding to the whole scheme are simple, time of operators is greatly saved, safety judgment of surrounding environment can be conducted for the operators more quickly, timely and quick judgment can be conducted on geological information of each direction of the tunnel face, and unknown sense of operation of operators is reduced.
Further, the step S2 includes the steps of:
s20, after the first geological data are generated, the first historical geological data, the second historical geological data and the third historical geological data corresponding to each historical tunnel and corresponding historical tunnel information are obtained; the history tunnel information comprises the size of a tunnel portal and the depth of a current tunnel face;
s21, constructing a corresponding association prediction model according to the acquired first historical geological data, second historical geological data and third historical geological data;
s22, according to the association prediction model, corresponding first historical geological data, second historical geological data and third historical geological data are calculated to obtain corresponding first association degree and second association degree, and a corresponding association degree information table is generated according to the corresponding historical tunnel information;
s23, acquiring current tunnel information corresponding to a current tunnel face, and acquiring a first association degree and a second association degree corresponding to the current tunnel face through an association degree information table;
and S24, calculating second geological data corresponding to the obliquely upper part of the current tunnel face and third geological data of the two sides according to the first geological data and the acquired first association degree and second association degree.
The beneficial effects are that: in the scheme, the first association degree and the second association degree are not fixed, the two association degrees are calculated through historical data, the association degree is calculated through construction of an association degree prediction model in specific calculation, meanwhile, the first association degree and the second association degree are calculated through the historical data and are associated with corresponding historical tunnel information to form a corresponding association degree information table, and in the mode, the system does not need to run an association degree prediction model each time when the first association degree and the second association degree of the current tunnel face are matched, but only needs to look up a table directly according to the association degree information table, reliability of the association degree is achieved, efficiency of association degree determination is greatly improved, and corresponding geological prediction can be better and faster.
Further, the step S3 includes the steps of:
s30, judging the corresponding geological type based on the tunnel information corresponding to the current tunnel face according to the first geological data, the second geological data and the third geological data; the geological types include a first type, a second type, and a third type;
s31, matching the geological type with a geological prediction model corresponding to the geological type from a database according to the judged geological type, and predicting the geological condition of the current tunnel face through the geological prediction model to generate a corresponding prediction result.
The beneficial effects are that: in the scheme, after the geological data corresponding to each azimuth of the current tunnel face is obtained, the geological type corresponding to the geological data is judged according to the corresponding tunnel information, and the geological prediction model is selected according to the geological type, so that the prediction result conforming to the geological type is obtained, the accuracy of the prediction result of the geological prediction model is greatly improved, the geological data can be more attached, namely, the dynamic selection of the geological prediction model can better and more accurately complete the prediction of the geological condition.
Further, the step S4 includes the steps of:
s40, judging whether the current geological condition is dangerous or not according to the prediction result;
s41, if the judgment result is that the current geological condition is not dangerous, generating a corresponding processing report according to the prediction result, wherein the processing report comprises the current security level and a maintenance scheme;
s42, if the judgment result is that the current geological situation is dangerous, an alarm is sent out, and a corresponding evacuation route is generated;
s43, after a corresponding evacuation route is generated, acquiring real-time position information of operators on the tunnel face of the current tunnel;
and S44, generating an optimal route for the operator to reach the evacuation route according to the acquired real-time position information and the evacuation route.
The beneficial effects are that: in the scheme, when judging that the current geological condition is not dangerous, a processing report is generated, so that an operator on the current tunnel face can carry out corresponding processing according to the processing report, for example, maintenance and the like on a certain area of the current tunnel face, planning of an evacuation route can be carried out when the current geological condition is dangerous, and the optimal route can be adjusted in real time according to the change of real-time position information of the operator, so that the operator can be well ensured to evacuate timely, and the latest route is adjusted in real time, the problem that the operator does not recognize directions to cause the wrong route can be avoided, so that the operator can arrive at the evacuation route timely, and the life safety of the operator is greatly improved.
Further, the first geological data includes geophysical prospecting geological data, drill prospecting geological data, TSP geological data, LTD geological data.
The beneficial effects are that: when the corresponding first geological data are detected, the first geological data comprise various data, so that the comprehensiveness of geological data monitoring in front of the tunnel face can be greatly improved, and the geological data in front can be known in various modes.
Further, the step S4 includes the following steps:
s45, calculating the difference value between the position information of the operator at the current moment and the position information of the operator at the last moment according to the acquired real-time position information of the operator, judging whether the difference value is larger than a preset threshold value, if so, indicating that the operator is evacuating, otherwise, indicating that the operator is trapped;
and S46, when the judgment result is that the operator is trapped, judging the accident type according to the prediction result, and formulating a corresponding rescue scheme based on the position information of the operator at the current moment.
The beneficial effects are that: in the scheme, the evacuation state of the operator is judged through the change of the position information of the operator at the current moment and the last moment, the evacuation state of the operator can be accurately judged, and then the rescue scheme is formulated according to the position information of the operator at the first time when the operator is trapped, so that the corresponding rescue scheme is more targeted and effective.
Further, the step S45 includes the steps of:
s450, calculating the difference value between the position information of the operator at the current moment and the position information of the operator at the last moment according to the acquired real-time position information of the operator;
s451, a corresponding preset threshold value is called from a database, and the preset threshold value is dynamically adjusted according to the evacuation route, the current time position information and the tunnel information;
s452, judging the difference value and the adjusted preset threshold value, if the difference value is larger than the adjusted preset threshold value, indicating that the operator is evacuating, otherwise, indicating that the operator is trapped.
The beneficial effects are that: in the scheme, the difference of the positions of the operators, the difference of the evacuation routes and the difference of the tunnel information are considered, the corresponding preset thresholds are also different, and after all, the movable speeds of the operators at the different positions are also different, so that the accuracy of judging whether the operators evacuate is greatly improved by dynamically adjusting the preset thresholds, the operators can be better rescued, and the safe evacuation of the operators before the danger occurs is realized.
Further, the step S1 includes the following steps:
s10, identifying the type of the section where the tunnel face of the current tunnel is located, and generating corresponding section type information;
s11, according to the generated section type information, a corresponding detection strategy is called from a database;
and S12, selecting detection equipment corresponding to the detection strategy according to the corresponding detection strategy, and detecting the geological data right in front of the current tunnel face to generate corresponding first geological data.
The beneficial effects are that: in the scheme, the detection means in front of the tunnel face corresponding to different sections are different, so that the accuracy of geological data detection in front of the tunnel face is greatly improved.
Based on the above-mentioned construction method of highway tunnel, the invention also provides a construction system of highway tunnel, comprising:
the geological data acquisition module is used for carrying out geological detection on the right front of the current tunnel face and generating corresponding first geological data;
the calculation module is used for matching the corresponding first association degree and second association degree based on the association degree prediction model according to the corresponding first geological data, and calculating second geological data corresponding to two sides of the current tunnel face and third geological data corresponding to the obliquely upper side of the current tunnel face based on the first association degree and the second association degree; the first association degree is the geological data association degree between the right front side and the two sides of the current tunnel face, and the second association degree is the geological data association degree between the right front side and the obliquely upper side of the current tunnel face;
the prediction module is used for predicting the geological condition of the current tunnel face based on the geological prediction model according to the first geological data, the second geological data and the third geological data, and generating a corresponding prediction result;
and the report generation module is used for generating a corresponding processing report according to the prediction result.
Technical principle and effect of this scheme: in the scheme, the geological data right in front of the current tunnel face is detected to generate corresponding first geological data, then the second geological data corresponding to two sides of the current tunnel face and the third geological data corresponding to the obliquely upper side of the current tunnel face are calculated according to the first association degree and the second association degree which are called out in the database, then the geological condition of the current tunnel face is predicted based on the geological prediction model according to the corresponding first geological data, the second geological data and the third geological data, so that the geological condition of the current tunnel face is known, corresponding processing report generation can be carried out according to the prediction result, operators can be well promoted through the processing report, and accidents are avoided.
In the prior art, when the geological data of the tunnel face is predicted, the LTD advanced geological radar is usually adopted, but the method can only detect the geological condition right in front of the tunnel face and cannot reflect the geological conditions of the obliquely upper side and the two sides of the tunnel face, so that the geological data detection of the tunnel face is limited, incomplete and high in uncertainty, operators cannot know the geological condition of the tunnel face, and reasonable measures cannot be timely taken when facing crisis, and the construction safety and smoothness cannot be guaranteed.
According to the scheme, various detection devices are not arranged to detect the geological data of the current tunnel face in all directions, but only the geological data of the current tunnel face in front of the current tunnel face are detected, and then the geological data of the inclined upper part and the two sides of the current tunnel face are subjected to association calculation in a first association degree and a second association degree mode through the geological data of the current tunnel face, so that the geological data of the inclined upper part and the two sides of the current tunnel face are obtained.
According to the method, the calculation of geological data corresponding to the upper part and the two sides of the current tunnel face is realized, the credibility of the corresponding geological data is improved, meanwhile, the operation steps corresponding to the whole scheme are simple, the time of operators is greatly saved, and the safety judgment of the surrounding environment can be carried out more quickly.
Drawings
Fig. 1 is a flowchart of a highway tunnel construction method according to an embodiment of the present invention.
Fig. 2 is a logic block diagram of a highway tunnel construction system according to a first embodiment of the present invention.
Detailed Description
The following is a further detailed description of the embodiments:
an example is substantially as shown in figure 1: a highway tunnel construction method comprises the following steps:
s1, performing geological detection on the right front of a current tunnel face to generate corresponding first geological data; the first geological data includes geophysical prospecting geological data, drill prospecting geological data, TSP geological data, LTD geological data.
The step S1 comprises the following steps:
s10, identifying the type of the section where the tunnel face of the current tunnel is located, and generating corresponding section type information;
s11, according to the generated section type information, a corresponding detection strategy is called from a database;
and S12, selecting detection equipment corresponding to the detection strategy according to the corresponding detection strategy, and detecting the geological data right in front of the current tunnel face to generate corresponding first geological data.
For example, it is divided into four stages, stage i, according to different zone types: the large geological disaster area, such as a large-scale river system, a large geophysical prospecting abnormal area, a weak, water-rich and water-conducting stratum with excellent water conductivity, a special geological area, an oversized water and mud bursting area and the like can occur. And acquiring relevant geological data by adopting a geological analysis method, a geological radar, a TSP tunnel seismic wave reflection method, advanced horizontal drilling and other methods. Stage II: medium and small water and mud bursting sections, abnormal positions relative to geophysical prospecting, broken bands and the like. Geological analysis, TSP or HSP, geological radar, advanced horizontal drilling are adopted. III grade: small-scale fracture zone and small-scale fracture zone with small possibility of water burst and mud burst. Mainly based on geological laws. The TSP method can also be applied to the detection of a part of particularly main geological interfaces and fault sections. Grade IV: non-soluble rock sections where the probability of water and mud bursting is very small. And adopting methods such as geological analysis, drill rod detection, geological radar and the like for detection.
In this embodiment, in order to ensure that the detection device corresponding to the detection policy can be used normally and accurately, daily maintenance is strictly performed on all kinds of used detection devices, and the devices are checked regularly, so that a relatively perfect device maintenance system and a relatively perfect maintenance ledger are formed; the users of various detection devices take a person and a guard, and each device can ensure that specified professionals use and maintain. Operators and related management staff for configuring professional equipment, and newly-on-duty personnel perform on-duty training and check that the qualified personnel can be on duty and regularly train the personnel.
S2, matching corresponding first association degrees and second association degrees based on the association degree prediction model according to the corresponding first geological data, and calculating second geological data corresponding to two sides of the current tunnel face and third geological data corresponding to the obliquely upper side of the current tunnel face based on the first association degrees and the second association degrees; the first association degree is the geological data association degree between the right front side and the two sides of the current tunnel face, and the second association degree is the geological data association degree between the right front side and the obliquely upper side of the current tunnel face;
the step S2 comprises the following steps:
s20, after the first geological data are generated, the first historical geological data, the second historical geological data and the third historical geological data corresponding to each historical tunnel and corresponding historical tunnel information are obtained; the history tunnel information comprises the size of a tunnel portal and the depth of a current tunnel face;
s21, constructing a corresponding association prediction model according to the acquired first historical geological data, second historical geological data and third historical geological data;
s22, according to the association prediction model, corresponding first historical geological data, second historical geological data and third historical geological data are calculated to obtain corresponding first association degree and second association degree, and a corresponding association degree information table is generated according to the corresponding historical tunnel information;
s23, acquiring current tunnel information corresponding to a current tunnel face, and acquiring a first association degree and a second association degree corresponding to the current tunnel face through an association degree information table;
and S24, calculating second geological data corresponding to the obliquely upper part of the current tunnel face and third geological data of the two sides according to the first geological data and the acquired first association degree and second association degree.
In this embodiment, in order to more conveniently determine the first association degree and the second association degree, specifically, by acquiring historical data including first historical geological data, second historical geological data, third historical geological data and corresponding historical tunnel information, the corresponding association degree prediction model is constructed through the first historical geological data, the second historical geological data and the third historical geological data, so as to obtain the association degrees between the first historical geological data and the second historical geological data and between the first historical geological data and the third historical geological data. And then, calculating corresponding first association degrees and second association degrees according to the historical geological data, so that a set of association degrees is obtained, and obtaining an association degree information table according to the historical tunnel information corresponding to each association degree, namely the tunnel portal size and the current tunnel face depth corresponding to each association degree, wherein the abscissa of the side is the tunnel portal size, the ordinate is the current tunnel face depth, and each point on the side is the corresponding first association degree and second association degree. When the association degree of the current tunnel face is matched, the first association degree and the second association degree matched with the current tunnel can be matched from the table only by collecting the current tunnel information, and then the second geological data and the third geological data can be calculated by using the matched first association degree and second association degree. For example, when the size of the corresponding tunnel portal is a and the current tunnel face depth is B, the first association degree and the second association degree corresponding to a and B can be found according to the corresponding association degree information table, then the sizes of the corresponding first association degree and second association degree are judged, and if the size is greater than a preset threshold value, each piece of sub-data corresponding to the first geological data is reduced, for example, the first geological data (1-first association degree) is the second geological data.
S3, predicting the geological condition of the current tunnel face based on a geological prediction model according to the first geological data, the second geological data and the third geological data, and generating a corresponding prediction result;
the step S3 comprises the following steps:
s30, judging the corresponding geological type based on the tunnel information corresponding to the current tunnel face according to the first geological data, the second geological data and the third geological data; the geological types include a first type, a second type, and a third type;
s31, matching the geological type with a geological prediction model corresponding to the geological type from a database according to the judged geological type, and predicting the geological condition of the current tunnel face through the geological prediction model to generate a corresponding prediction result.
S4, generating a corresponding processing report according to the prediction result. In this embodiment, for example, when it is predicted that the corresponding tunnel is a mud burst or a mud stratum, a corresponding treatment report is generated, where the corresponding treatment report is that an in-tunnel advanced greenhouse is adopted for advanced support, and specifically, the specific steps are that firstly, corresponding equipment debugging is completed when construction begins, then, self-advancing greenhouse is installed, then, drilling is performed by using a drilling machine, a long-pipe greenhouse is connected when drilling is stopped, each drilling section of anchor rod length is connected to the long-pipe greenhouse in turn, drilling is continued once, the drilling machine is removed after knowing that the greenhouse is in place, then, a grouting pipeline and a grouting pump are connected, grouting is performed into a hole until the design requirement is met, and then the next cycle is entered.
The step S4 comprises the following steps:
s40, judging whether the current geological condition is dangerous or not according to the prediction result;
s41, if the judgment result is that the current geological condition is not dangerous, generating a corresponding processing report according to the prediction result, wherein the processing report comprises the current security level and a maintenance scheme;
s42, if the judgment result is that the current geological situation is dangerous, an alarm is sent out, and a corresponding evacuation route is generated;
s43, after a corresponding evacuation route is generated, acquiring real-time position information of operators on the tunnel face of the current tunnel;
and S44, generating an optimal route for the operator to reach the evacuation route according to the acquired real-time position information and the evacuation route. For example, the operator walks from a to B, then the nearest route to the evacuation route at a and B is different.
In this embodiment, when the judgment result is that the current geological situation is dangerous, an evacuation route is generated in addition to the alarm, specifically, tunnel situation information corresponding to the current tunnel face is collected, for example, excavated route information in a tunnel and barrier information in the tunnel are collected, and according to the tunnel situation information, a safety route corresponding to evacuation from the tunnel face to the outside of the tunnel is generated, wherein the safety route is a corresponding evacuation route, in this embodiment, the evacuation routes correspond to a plurality of evacuation routes, namely, a corresponding evacuation route set is formed, and the safety route can avoid the corresponding barrier information, so that operators can evacuate unimpeded. And then, according to the geological conditions corresponding to the various evacuation routes and the real-time positions corresponding to the operators, selecting the optimal evacuation route, and adopting an improved genetic algorithm to calculate and select the optimal evacuation route.
Specifically, according to the set of evacuation routes and the real-time positions of the operators, the nearest distance of the operators corresponding to each evacuation route to the evacuation route and the distance of the operators evacuated from the evacuation route after arriving are obtained, and the nearest routes of the operators corresponding to each evacuation route are generated; acquiring the evacuation difficulty of the nearest route corresponding to each evacuation route;
screening the nearest route on each evacuation route within the first preset iteration times, screening the evacuation route corresponding to the first threshold value, and generating a corresponding first population; at the moment, selecting three evacuation routes with the lowest evacuation difficulty for the removed evacuation routes to form a standby population, and storing the standby population;
when the number of iterations exceeds a first preset number of iterations, the corresponding first population and the stored standby population are subjected to evacuation difficulty screening, and the evacuation routes n percent after the corresponding population are removed are specifically removed, and other evacuation routes are stored, so that a corresponding second population is formed;
when the first population or the second population is corresponding, the filial generation population is obtained by crossing and mutating the corresponding population through a genetic algorithm, and then the corresponding route screening is carried out according to the iteration times. And outputting the optimal evacuation route until the preset number of iterations is met.
S45, calculating the difference value between the position information of the operator at the current moment and the position information of the operator at the last moment according to the acquired real-time position information of the operator, judging whether the difference value is larger than a preset threshold value, if so, indicating that the operator is evacuating, otherwise, indicating that the operator is trapped;
the step S45 includes the steps of:
s450, calculating the difference value between the position information of the operator at the current moment and the position information of the operator at the last moment according to the acquired real-time position information of the operator;
s451, a corresponding preset threshold value is called from a database, and the preset threshold value is dynamically adjusted according to the evacuation route, the current time position information and the tunnel information;
s452, judging the difference value and the adjusted preset threshold value, if the difference value is larger than the adjusted preset threshold value, indicating that the operator is evacuating, otherwise, indicating that the operator is trapped.
And S46, when the judgment result is that the operator is trapped, judging the accident type according to the prediction result, and formulating a corresponding rescue scheme based on the position information of the operator at the current moment. In this embodiment, when the danger of the current geological situation is judged, it is indicated that the danger exists in the tunnel, so that an alarm is sent out at the first time, a corresponding evacuation route is generated, meanwhile, real-time position information of an operator on the face of the current tunnel is collected, real-time adjustment is performed on the evacuation route through analysis of the real-time position information, so that the adjusted route is safer and more suitable for the current operator, the safety of the operator is ensured to the greatest extent, meanwhile, in order to judge whether the operator is evacuated without being trapped, difference calculation is performed on the current position information of the operator and the position information of the previous moment, whether the operator is trapped is judged by judging whether the difference is larger than a preset threshold, and of course, the evacuation difficulty of the operator is different in different places, so that the evacuation state can be judged better, and the possibility of misjudgment is avoided. In this embodiment, in order to enable an operator to receive the evacuation signal faster and more timely, the operator needs to wear a corresponding client at any time, so as to implement remote information reception.
Based on the above-mentioned construction method of the highway tunnel, as shown in fig. 2, this embodiment further provides a construction system of the highway tunnel, and the construction method of the highway tunnel includes:
the geological data acquisition module is used for carrying out geological detection on the right front of the current tunnel face and generating corresponding first geological data;
the calculation module is used for matching the corresponding first association degree and second association degree based on the association degree prediction model according to the corresponding first geological data, and calculating second geological data corresponding to two sides of the current tunnel face and third geological data corresponding to the obliquely upper side of the current tunnel face based on the first association degree and the second association degree; the first association degree is the geological data association degree between the right front side and the two sides of the current tunnel face, and the second association degree is the geological data association degree between the right front side and the obliquely upper side of the current tunnel face;
the prediction module is used for predicting the geological condition of the current tunnel face based on the geological prediction model according to the first geological data, the second geological data and the third geological data, and generating a corresponding prediction result;
and the report generation module is used for generating a corresponding processing report according to the prediction result.
The foregoing is merely exemplary of the present invention, and the specific structures and features well known in the art are not described in any way herein, so that those skilled in the art will be able to ascertain all prior art in the field, and will not be able to ascertain any prior art to which this invention pertains, without the general knowledge of the skilled person in the field, before the application date or the priority date, to practice the present invention, with the ability of these skilled persons to perfect and practice this invention, with the help of the teachings of this application, with some typical known structures or methods not being the obstacle to the practice of this application by those skilled in the art. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present invention, and these should also be considered as the scope of the present invention, which does not affect the effect of the implementation of the present invention and the utility of the patent. The protection scope of the present application shall be subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (7)
1. A highway tunnel construction method is characterized in that: the method comprises the following steps:
s1, performing geological detection on the right front of a current tunnel face to generate corresponding first geological data;
s2, matching corresponding first association degrees and second association degrees based on the association degree prediction model according to the corresponding first geological data, and calculating second geological data corresponding to two sides of the current tunnel face and third geological data corresponding to the obliquely upper side of the current tunnel face based on the first association degrees and the second association degrees; the first association degree is the geological data association degree between the right front side and the two sides of the current tunnel face, and the second association degree is the geological data association degree between the right front side and the obliquely upper side of the current tunnel face;
s3, predicting the geological condition of the current tunnel face based on a geological prediction model according to the first geological data, the second geological data and the third geological data, and generating a corresponding prediction result;
s4, generating a corresponding processing report according to the prediction result;
the step S2 comprises the following steps:
s20, after the first geological data are generated, the first historical geological data, the second historical geological data and the third historical geological data corresponding to each historical tunnel and corresponding historical tunnel information are obtained; the history tunnel information comprises the size of a tunnel portal and the depth of a current tunnel face;
s21, constructing a corresponding association prediction model according to the acquired first historical geological data, second historical geological data and third historical geological data;
s22, according to the association prediction model, corresponding first historical geological data, second historical geological data and third historical geological data, calculating corresponding first association and second association, and generating a corresponding association information table according to the corresponding historical tunnel information;
s23, acquiring current tunnel information corresponding to a current tunnel face, and acquiring a first association degree and a second association degree corresponding to the current tunnel face through an association degree information table;
s24, calculating second geological data corresponding to the obliquely upper part of the current tunnel face and third geological data of the two sides according to the first geological data and the acquired first association degree and second association degree;
the step S3 comprises the following steps:
s30, judging the corresponding geological type based on the current tunnel information corresponding to the current tunnel face according to the first geological data, the second geological data and the third geological data; the geological types include a first type, a second type, and a third type;
s31, matching the geological type with a geological prediction model corresponding to the geological type from a database according to the judged geological type, and predicting the geological condition of the current tunnel face through the geological prediction model to generate a corresponding prediction result.
2. The highway tunnel construction method according to claim 1, wherein: the step S4 comprises the following steps:
s40, judging whether the current geological condition is dangerous or not according to the prediction result;
s41, if the judgment result is that the current geological condition is not dangerous, generating a corresponding processing report according to the prediction result, wherein the processing report comprises the current security level and a maintenance scheme;
s42, if the judgment result is that the current geological situation is dangerous, an alarm is sent out, and a corresponding evacuation route is generated;
s43, after a corresponding evacuation route is generated, acquiring real-time position information of operators on the tunnel face of the current tunnel;
and S44, generating an optimal route for the operator to reach the evacuation route according to the acquired real-time position information and the evacuation route.
3. The highway tunnel construction method according to claim 2, wherein: the first geological data includes geophysical prospecting geological data, drill prospecting geological data, TSP geological data, LTD geological data.
4. A highway tunnel construction method according to claim 3, wherein: the step S4 further comprises the following steps:
s45, calculating the difference value between the position information of the operator at the current moment and the position information of the operator at the last moment according to the acquired real-time position information of the operator, judging whether the difference value is larger than a preset threshold value, if so, indicating that the operator is evacuating, otherwise, indicating that the operator is trapped;
and S46, when the judgment result is that the operator is trapped, judging the accident type according to the prediction result, and formulating a corresponding rescue scheme based on the position information of the operator at the current moment.
5. The highway tunnel construction method according to claim 4, wherein: the step S45 includes the steps of:
s450, calculating the difference value between the position information of the operator at the current moment and the position information of the operator at the last moment according to the acquired real-time position information of the operator;
s451, a corresponding preset threshold value is called from a database, and the preset threshold value is dynamically adjusted according to the evacuation route, the current time position information and the tunnel information;
s452, judging the difference value and the adjusted preset threshold value, if the difference value is larger than the adjusted preset threshold value, indicating that the operator is evacuating, otherwise, indicating that the operator is trapped.
6. The highway tunnel construction method according to claim 5, wherein: the step S1 comprises the following steps:
s10, identifying the type of the section where the tunnel face of the current tunnel is located, and generating corresponding section type information;
s11, according to the generated section type information, a corresponding detection strategy is called from a database;
and S12, selecting detection equipment corresponding to the detection strategy according to the corresponding detection strategy, and detecting the geological data right in front of the current tunnel face to generate corresponding first geological data.
7. A highway tunnel construction system using the highway tunnel construction method according to any one of claims 1 to 6, characterized in that: comprising the following steps:
the geological data acquisition module is used for carrying out geological detection on the right front of the current tunnel face and generating corresponding first geological data;
the calculation module is used for matching the corresponding first association degree and second association degree based on the association degree prediction model according to the corresponding first geological data, and calculating second geological data corresponding to two sides of the current tunnel face and third geological data corresponding to the obliquely upper side of the current tunnel face based on the first association degree and the second association degree; the first association degree is the geological data association degree between the right front side and the two sides of the current tunnel face, and the second association degree is the geological data association degree between the right front side and the obliquely upper side of the current tunnel face;
the prediction module is used for predicting the geological condition of the current tunnel face based on the geological prediction model according to the first geological data, the second geological data and the third geological data, and generating a corresponding prediction result;
and the report generation module is used for generating a corresponding processing report according to the prediction result.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310679801.4A CN116579499B (en) | 2023-06-08 | 2023-06-08 | Highway tunnel construction method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310679801.4A CN116579499B (en) | 2023-06-08 | 2023-06-08 | Highway tunnel construction method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116579499A CN116579499A (en) | 2023-08-11 |
| CN116579499B true CN116579499B (en) | 2024-01-23 |
Family
ID=87543920
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310679801.4A Active CN116579499B (en) | 2023-06-08 | 2023-06-08 | Highway tunnel construction method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116579499B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108922183A (en) * | 2018-07-17 | 2018-11-30 | 重庆大学 | A kind of highway short term traffic forecasting method of space time correlation degree in conjunction with SVR |
| CN112177617A (en) * | 2020-09-25 | 2021-01-05 | 中铁二十局集团有限公司 | Advanced geological forecast prediction method and system for high-pressure water-rich fault tunnel construction |
| CN112966014A (en) * | 2019-12-12 | 2021-06-15 | 阿里巴巴集团控股有限公司 | Method and device for searching target object |
-
2023
- 2023-06-08 CN CN202310679801.4A patent/CN116579499B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108922183A (en) * | 2018-07-17 | 2018-11-30 | 重庆大学 | A kind of highway short term traffic forecasting method of space time correlation degree in conjunction with SVR |
| CN112966014A (en) * | 2019-12-12 | 2021-06-15 | 阿里巴巴集团控股有限公司 | Method and device for searching target object |
| CN112177617A (en) * | 2020-09-25 | 2021-01-05 | 中铁二十局集团有限公司 | Advanced geological forecast prediction method and system for high-pressure water-rich fault tunnel construction |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116579499A (en) | 2023-08-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Xue et al. | A two-step comprehensive evaluation model for rockburst prediction based on multiple empirical criteria | |
| CN103743441B (en) | The polynary of a kind of side slope safety is coupling in line monitoring system and method | |
| CN102563360B (en) | Vibration event detection method of pipeline safety early warning system based on sequential probability ratio detection | |
| CN107144891A (en) | The monitoring of water burst precursor information dash forward with merging early warning system and method in tunnel | |
| CN107807309A (en) | A kind of transmission line malfunction method for early warning and system based on big data | |
| CN106341414A (en) | Bayesian network-based multi-step attack security situation assessment method | |
| CN106888205A (en) | A kind of non-intrusion type is based on the PLC method for detecting abnormality of power consumption analysis | |
| Niu et al. | Types and occurrence time of rockbursts in tunnel affected by geological conditions and drilling & blasting procedures | |
| CN111042866B (en) | Multi-physical-field cooperative water inrush monitoring method | |
| Zhang et al. | Collapse risk analysis of deep foundation pits in metro stations using a fuzzy Bayesian network and a fuzzy AHP | |
| Wang et al. | Risk Assessment of Water Inrush in Karst Tunnels Based on the Efficacy Coefficient Method. | |
| Huang et al. | Quantitative geotechnical risk management for tunneling projects in China | |
| CN112177617A (en) | Advanced geological forecast prediction method and system for high-pressure water-rich fault tunnel construction | |
| CN109268072A (en) | Mine floor water bursting disaster intelligence, the big data cloud platform of real-time prediction and warning | |
| Wu et al. | A dynamic decision approach for risk analysis in complex projects | |
| CN116044501A (en) | Advanced geological forecast dynamic monitoring and early warning system and method | |
| CN116579499B (en) | Highway tunnel construction method and system | |
| CN111563653A (en) | Early warning construction method for water-rich broken stratum of underground engineering | |
| CN114810213A (en) | Multi-source information fusion intelligent early warning method and device for coal and gas outburst | |
| CN113653534B (en) | Mine water damage early warning system and method | |
| CN103472192B (en) | A kind of gas sensor intelligent locating method | |
| CN216053266U (en) | Debris flow monitoring and early warning system | |
| CN116243401A (en) | Submarine tunnel gushing water disaster multi-element information monitoring method and system | |
| CN108510202A (en) | The monitoring information management method and managing device of building are worn under hydraulic tunnel | |
| CN115796573A (en) | Multi-factor safety grade evaluation method for underground excavation section of mine |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |