CN113075744A - Karst detection system for shield tunnel affected area under building - Google Patents
Karst detection system for shield tunnel affected area under building Download PDFInfo
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Abstract
The invention belongs to the technical field of karst detection, and discloses a karst detection system for an affected area of a shield tunnel under a building, which comprises: the geological information acquisition module, the information analysis module, the vertical drilling module, the geological detection module, the central control module, the geological map drawing module, the geological model construction module, the tunnel path planning module, the horizontal drilling module and the karst distribution detection module. According to the invention, the geological information is acquired to realize comprehensive evaluation of the geology of the tunnel region to be built, so that the better geology of the tunnel region to be built is acquired; accurate geological information of an underground area is obtained by vertically drilling, path planning of a tunnel is facilitated, a path of the tunnel to be built is determined, then acquisition of karst distribution around the tunnel to be built is achieved, the karst detection method is simpler and more convenient, convenience is brought to tunnel construction, and safety threats of construction are reduced.
Description
Technical Field
The invention belongs to the technical field of karst detection, and particularly relates to a karst detection system for a shield tunnel affected area under a building.
Background
At present: the rail transit of China enters a rapid development stage in recent years, and the construction of subways is fully spread in various major cities. However, subway lines are continuously increased, the passing of buildings under the lines cannot be avoided, karst in a karst development area has great influence on the passing of buildings under the subway, and the detection of the karst development condition in the range of the lines under the buildings before the construction of subway tunnels plays an important role in ensuring the safety of tunnel construction.
In actual engineering, drilling is generally used for detecting development of karst, and although the accuracy is highest, the construction cost is obviously increased. In order to make the engineering have better economy, the karst detection is usually carried out by a method combining drilling and geophysical prospecting to meet the precision requirement of construction, such as cross-hole CT, geological radar, high-density electrical method and the like which are widely applied; however, under the condition of existence of important buildings, nearby metal pipelines and electromagnetic interference are numerous, drilling and conventional geophysical prospecting cannot be implemented due to site limitation or the precision cannot meet the requirement, and under the condition that the development condition of the karst cannot be clearly detected, the karst cannot be effectively treated, so that the construction accidents of uneven settlement of the buildings, ground surface deformation, tunnel water burst, head planting of a shield machine and the like are easily caused in the underground tunnel underpass construction process. The existing method for detecting the karst is limited by site conditions, poor in anti-interference capability and low in resolution, and cannot realize accurate detection.
Through the above analysis, the problems and defects of the prior art are as follows: the existing method for detecting the karst is limited by site conditions, poor in anti-interference capability and low in resolution, and cannot realize accurate detection.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a system for detecting karst in an affected area of a shield tunnel under a building.
The invention is realized in this way, a system for detecting karst in an affected area of a shield tunnel under a building, the system for detecting karst in the affected area of the shield tunnel under the building comprises:
the geological information acquisition module is connected with the central control module and used for acquiring geological information of the region to be built of the tunnel through a geological information acquisition program to obtain the geological information of the region to be built of the tunnel;
the geological information of the area to be built of the tunnel is obtained through the geological information obtaining program, and the geological information of the area to be built of the tunnel is obtained, and the geological information obtaining method comprises the following steps: performing network access, and acquiring geological information of a region to be built of a tunnel through a network;
the network access includes:
removing the dimension of each attribute, and carrying out vector normalization on the original matrix to obtain a normalized matrix R (R)ln)L×NWherein r islnIs composed of
Establishing a weighted standardized decision matrix V; the user module has user preference weight information stored therein for indicating different preference degrees of each attribute when the terminal selects the network, and the weight vector of the attribute is assumed as W ═ W1...wn...wN]T，wnIs a weight corresponding to the nth attribute, and
wherein the maximum wnThe attribute corresponding to the user's preference plays an important role in the network selection result, and each column of attribute values in the specification matrix R is multiplied by the corresponding weight to obtain a weighted and standardized decision matrix V (V ═ mln)L×NWherein v islnIs composed of
vln＝wnrln；
Determining positive ideal schemes Q for all schemes+Sum negative ideal scheme Q-：
The euclidian distances of the candidate schemes from the positive and negative ideal schemes are calculated separately.
Each candidate scheme and positive ideal scheme Q+Is a distance of
Is composed of
Distance of each candidate from negative ideal
Is composed of
Calculating the relative closeness of the candidate scheme to the positive ideal scheme
When distance between candidate scheme and negative ideal scheme
The larger the distance from the ideal solution
The smaller the size of the product is,
closer to 1, indicating closer to the positive ideal; when in
The smaller the size of the tube is,
the larger the size of the tube, the larger the tube,
closer to 0, indicating closer to negative ideal;
the candidate solutions are ranked and the optimal solution is selected. According to the proximity of the candidate scheme to the ideal scheme
Will be provided with
As the utility function, selecting the candidate scheme with the maximum utility function value as the optimal network selection scheme l*Namely, it is
Scheme l*The single or multiple wireless network interfaces are opened, and the mobile terminal performs access of multiple networks;
the information analysis module is connected with the central control module and used for analyzing the geological information of the to-be-built area of the tunnel through an information analysis program to obtain an information analysis result and determine a better geological area in the to-be-built area of the tunnel;
the vertical drilling module is connected with the central control module and is used for vertically drilling in a better geological region through a vertical drilling program;
the geological detection module is connected with the central control module and used for detecting along the vertical drill hole through a geological detector to obtain a geological detection result;
the central control module is connected with the geological information acquisition module, the information analysis module, the vertical drilling module and the geological detection module and is used for controlling the operation of each connecting module through a main control computer and ensuring the normal operation of each module;
the geological map drawing module is connected with the central control module and used for drawing a geological map of the tunnel to-be-built region according to the acquired geological information of the tunnel to-be-built region and a geological detection result of a better geological region through a geological map drawing program to obtain the geological map of the tunnel to-be-built region;
the geological map drawing program is used for drawing the geological map of the tunnel to-be-built region according to the obtained geological information of the tunnel to-be-built region and the geological detection result of the better geological region, and the step of obtaining the geological map of the tunnel to-be-built region comprises the following steps:
acquiring geological information of a tunnel region to be built; acquiring first geological unit data from the geological data, and displaying a first geological map on a main screen according to the first geological unit data;
acquiring a geological detection result of a superior geological region, and displaying a second geological map on an auxiliary screen according to the geological detection result of the superior geological region;
obtaining a geological map of a region to be built of the tunnel based on the first geological map and the second geological map;
the geological model building module is connected with the central control module and used for building a geological model according to a geological map of the region to be built of the tunnel through a geological model building program to obtain the geological model of the region to be built of the tunnel;
the tunnel path planning module is connected with the central control module and used for planning a tunnel path in a geological model of the constructed tunnel to-be-constructed area through a tunnel path planning program to obtain a simulated constructed tunnel, and determining a real tunnel path in the tunnel to-be-constructed area according to the simulated tunnel;
the horizontal drilling module is connected with the central control module and used for horizontally drilling the periphery of the real path of the tunnel through the horizontal directional drilling machine to obtain a horizontal drilling hole;
and the karst distribution detection module is connected with the central control module and is used for detecting the karst distribution through a karst distribution detection program according to the ultrasonic analysis device and through horizontal drilling to obtain the karst distribution information of the area to be built in the tunnel.
Further, the geological information of the region to be built of the tunnel comprises: the method comprises the following steps of topographic map, planning map above the ground, geological map, drilling map and underground structure distribution map, rock mass information, underground water information and address information of a region to be built of the tunnel.
Further, the analyzing the geological information of the tunnel to-be-built area through the information analysis program to obtain an information analysis result, including:
transmitting the acquired geological information of the tunnel region to be built;
establishing a graphic database according to a topographic map, a planning map above the ground, a geological map, a drilling map and an underground structure distribution map, and establishing an attribute database according to rock mass information, underground water information and address information of a region to be established of the tunnel;
establishing an analysis and evaluation database, wherein the analysis and evaluation database comprises an evaluation standard database and an evaluation result database;
establishing an earth surface movement and deformation evaluation system based on an RFPA software platform;
inputting the collected geological information of the tunnel to-be-built area into an earth surface movement and deformation evaluation system to obtain an evaluation result; and comparing the evaluation result with the information in the evaluation standard database to obtain an information analysis result.
Further, the transmitting the acquired geological information of the tunnel region to be built includes:
carrying out data preprocessing and feature extraction on different types of network connection data;
according to the extracted features, iteration and training are carried out through a generalized regression neural network in combination with a fuzzy clustering algorithm to obtain a clustering result;
calculating credibility estimated values of corresponding classifications by setting credibility weight vectors and a network connection credibility algorithm according to the clustering result;
calculating the reliability of the network intrusion rule through an improved associated attribute judgment algorithm, and using the reliability as a basis for dynamically adjusting a rule base in an intrusion detection system;
and determining whether to establish connection between the terminal and the internet according to the adjusted credibility, and transmitting the geological information of the area to be built of the tunnel.
Further, the clustering result obtained by iteration and training through the generalized regression neural network in combination with the fuzzy clustering algorithm includes:
classifying the data according to a fuzzy clustering algorithm, and calculating a clustering center of each class;
FCM combines n vectors xkDividing the data into c fuzzy classes, and calculating the clustering center c of each classiTo minimize the fuzzy objective function;
the objective function of fuzzy clustering is:
wherein d isij＝||ci-xjI is the Euclidean distance of the sample vector from the center point, ciIs the center of the ith class, m is the number of samples, and j is the attribute column; the calculation formula of each cluster center is as follows:
calculating a membership value through a membership function to form a fuzzy matrix;
the membership function is:
selecting a training sample from the fuzzy matrix as the training input of the generalized neural network;
selecting m samples with the minimum distance from the central value in the fuzzy matrix as training samples, and using n x m groups of data as the training input of the generalized neural network; n is the number of classified intrusion data according to a fuzzy clustering algorithm, and m is data between 1 and 5;
predicting and outputting the type of intrusion data according to the training input of the generalized neural network;
data are subdivided into n classes, and a sample closest to the central value of each class is found out to be used as a training sample; and obtaining a clustering result.
Further, the generalized neural network is composed of four-level structures of an input layer, a mode layer, a summation layer and an output layer.
Further, the geological map comprises stratum, landform, geological structure, hydrogeology, environmental geology and seismic geological information; the rock mass information comprises the grade of surrounding rock, the structure of the rock mass and the water-bearing, sand-bearing and soil-bearing conditions of the rock mass.
Further, the evaluation criterion database comprises an earth surface settlement evaluation criterion and an evaluation index, and an underground structure safety evaluation criterion and an evaluation index.
It is another object of the present invention to provide a computer readable storage medium storing instructions that, when executed on a computer, cause the computer to apply the shield tunnel influence zone karst detection system under a building.
By combining all the technical schemes, the invention has the advantages and positive effects that: according to the invention, the geological information is acquired to realize comprehensive evaluation of the geology of the tunnel region to be built, so that the better geology of the tunnel region to be built is acquired; accurate geological information of an underground area is obtained by vertically drilling, path planning of a tunnel is facilitated, a path of the tunnel to be built is determined, then acquisition of karst distribution around the tunnel to be built is achieved, the karst detection method is simpler and more convenient, convenience is brought to tunnel construction, and safety threats of construction are reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
Fig. 1 is a structural block diagram of a system for detecting karst in an affected area of a shield tunnel under a building according to an embodiment of the present invention.
Fig. 2 is a flowchart of a method for detecting karst in an affected area of a shield tunnel under a building according to an embodiment of the present invention.
Fig. 3 is a flow chart of analyzing geological information of a tunnel region to be built by an information analysis program to obtain an information analysis result according to the embodiment of the present invention.
Fig. 4 is a flowchart for transmitting acquired geological information of a tunnel region to be built according to an embodiment of the present invention.
Fig. 5 is a block diagram of a generalized neural network architecture provided in an embodiment of the present invention.
In the figure: 1. a geological information acquisition module; 2. an information analysis module; 3. a vertical drilling module; 4. a geological detection module; 5. a central control module; 6. a geological map drawing module; 7. a geological model building module; 8. a tunnel path planning module; 9. a horizontal drilling module; 10. a karst distribution detection module; 11. an input layer; 12. a mode layer; 13. a summing layer; 14. and (5) outputting the layer.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Aiming at the problems in the prior art, the invention provides a system for detecting karst in an affected area of a shield tunnel under a building, and the invention is described in detail below with reference to the attached drawings.
As shown in fig. 1, a system for detecting karst in an affected area of a shield tunnel under a building, provided by an embodiment of the present invention, includes:
the geological information acquisition module 1 is connected with the central control module 5 and used for acquiring geological information of a region to be built of the tunnel through a geological information acquisition program to obtain geological information of the region to be built of the tunnel;
the information analysis module 2 is connected with the central control module 5 and used for analyzing the geological information of the to-be-built area of the tunnel through an information analysis program to obtain an information analysis result and determine a better geological area in the to-be-built area of the tunnel;
the vertical drilling module 3 is connected with the central control module 5 and is used for vertically drilling in a better geological region through a vertical drilling program;
the geological detection module 4 is connected with the central control module 5 and is used for detecting along a vertical drilling hole through a geological detector to obtain a geological detection result;
the central control module 5 is connected with the geological information acquisition module 1, the information analysis module 2, the vertical drilling module 3, the geological detection module 4, the geological map drawing module 6, the geological model construction module 7, the tunnel path planning module 8, the horizontal drilling module 9 and the karst distribution detection module 10, and is used for controlling the operation of each connection module through a main control computer and ensuring the normal operation of each module;
the geological map drawing module 6 is connected with the central control module 5 and used for drawing a geological map of the tunnel to-be-built region according to the acquired geological information of the tunnel to-be-built region and a geological detection result of a better geological region through a geological map drawing program to obtain a geological map of the tunnel to-be-built region;
the geological model building module 7 is connected with the central control module 5 and used for building a geological model according to a geological map of the region to be built of the tunnel through a geological model building program to obtain the geological model of the region to be built of the tunnel;
the tunnel path planning module 8 is connected with the central control module 5 and used for planning a tunnel path in a geological model of the constructed tunnel to-be-constructed area through a tunnel path planning program to obtain a simulated constructed tunnel, and determining a real tunnel path in the tunnel to-be-constructed area according to the simulated tunnel;
the horizontal drilling module 9 is connected with the central control module 5 and used for performing horizontal drilling on the periphery of the real path of the tunnel through a horizontal directional drilling machine to obtain a horizontal drilling hole;
and the karst distribution detection module 10 is connected with the central control module 5 and is used for detecting the karst distribution through a karst distribution detection program according to the ultrasonic analysis device through horizontal drilling to obtain the karst distribution information of the area to be built in the tunnel.
As shown in fig. 2, the method for detecting karst in the affected area of the shield tunnel under the building provided by the embodiment of the invention includes the following steps:
s101, acquiring geological information of a tunnel region to be built by a geological information acquisition module through a geological information acquisition program to obtain geological information of the tunnel region to be built;
s102, analyzing geological information of the tunnel to-be-built region by using an information analysis program through an information analysis module to obtain an information analysis result, and determining a better geological region in the tunnel to-be-built region; vertically drilling a hole in a better geological region by using a vertical drilling program through a vertical drilling module;
s103, detecting along the vertical drill hole by using a geological detector through a geological detection module to obtain a geological detection result; the central control module controls the operation of each connecting module by using a main control machine, so that the normal operation of each module is ensured;
s104, drawing a geological map of the tunnel to-be-built region by using a geological map drawing program through a geological map drawing module according to the obtained geological information of the tunnel to-be-built region and a geological detection result of a better geological region to obtain the geological map of the tunnel to-be-built region;
s105, constructing a geological model according to a geological map of the region to be constructed of the tunnel by using a geological model constructing program through a geological model constructing module to obtain a geological model of the region to be constructed of the tunnel;
s106, planning a tunnel path in the geological model of the constructed tunnel to-be-constructed area by using a tunnel path planning program through a tunnel path planning module to obtain a simulated constructed tunnel, and determining a real tunnel path in the tunnel to-be-constructed area according to the simulated tunnel;
s107, horizontally drilling the periphery of the real path of the tunnel by using a horizontal directional drilling machine through a horizontal drilling module to obtain a horizontal drilled hole;
and S108, detecting the distribution of the karst through a karst distribution detection program by using a karst distribution detection module according to the ultrasonic analysis device through horizontal drilling to obtain the karst distribution information of the area to be built in the tunnel.
The technical solution of the present invention is further illustrated by the following specific examples.
Example 1
As shown in fig. 2, the method for detecting karst of an affected area of a shield tunnel under a building according to an embodiment of the present invention is a preferred embodiment in which geological information of an area to be built of a tunnel includes: the method comprises the following steps of topographic map, planning map above the ground, geological map, drilling map and underground structure distribution map, rock mass information, underground water information and address information of a region to be built of the tunnel.
Example 2
The method for detecting karst in the shield tunnel affected area under the building, provided by the embodiment of the invention, is as shown in fig. 2, and as a preferred embodiment,
the geological information of the tunnel to-be-built region is obtained through the geological information obtaining program, and the geological information of the tunnel to-be-built region is obtained, and the geological information comprises the following steps: performing network access, and acquiring geological information of a region to be built of a tunnel through a network;
the network access includes:
removing the dimension of each attribute, and carrying out vector normalization on the original matrix to obtain a normalized matrix R (R)ln)L×NWherein r isInIs composed of
Establishing a weighted standardized decision matrix V; the user module has user preference weight information stored therein for indicating different preference degrees of each attribute when the terminal selects the network, and the weight vector of the attribute is assumed as W ═ W1...wn...wN]T，wnIs a weight corresponding to the nth attribute, and
wherein the maximum wnThe attribute corresponding to the user's preference plays an important role in the network selection result, and each column of attribute values in the specification matrix R is multiplied by the corresponding weight to obtain a weighted and standardized decision matrix V (V ═ mln)L×NWherein v islnIs composed of
vln＝wnrln；
Determining positive ideal schemes Q for all schemes+Sum negative ideal scheme Q-：
The euclidian distances of the candidate schemes from the positive and negative ideal schemes are calculated separately.
Each candidate scheme and positive ideal scheme Q+Is a distance of
Is composed of
Distance of each candidate from negative ideal
Is composed of
Computing relative closeness of candidate to positive idealDegree 
When distance between candidate scheme and negative ideal scheme
The larger the distance from the ideal solution
The smaller the size of the product is,
closer to 1, indicating closer to the positive ideal; when in
The smaller the size of the tube is,
the larger the size of the tube, the larger the tube,
closer to 0, indicating closer to negative ideal;
the candidate solutions are ranked and the optimal solution is selected. According to the proximity of the candidate scheme to the ideal scheme
Will be provided with
As the utility function, selecting the candidate scheme with the maximum utility function value as the optimal network selection scheme l*Namely, it is
Scheme l*Is opened and the mobile terminal performs access to multiple networks.
Example 3
The method for detecting karst of the shield tunnel affected area under the building, provided by the embodiment of the invention, is shown in fig. 2, and as a preferred embodiment, is shown in fig. 3, the method for detecting karst of the shield tunnel affected area under the building, provided by the embodiment of the invention, analyzes geological information of a tunnel to-be-built area through an information analysis program to obtain an information analysis result, and comprises the following steps:
s201, transmitting the acquired geological information of the tunnel region to be built;
s202, establishing a graphic database according to a topographic map, a planning map above the ground, a geological map, a drilling map and an underground structure distribution map, and establishing an attribute database according to rock mass information, underground water information and address information of a region to be established of the tunnel;
s203, establishing an analysis and evaluation database, wherein the analysis and evaluation database comprises an evaluation standard database and an evaluation result database;
s204, establishing an earth surface movement and deformation evaluation system based on the RFPA software platform;
s205, inputting the collected geological information of the tunnel to-be-built area into an earth surface movement and deformation evaluation system to obtain an evaluation result; and comparing the evaluation result with the information in the evaluation standard database to obtain an information analysis result.
As shown in fig. 4, the transmission of the acquired geological information of the tunnel region to be built according to the embodiment of the present invention includes:
s301, carrying out data preprocessing and feature extraction on different types of network connection data;
s302, according to the extracted features, iteration and training are carried out through a generalized regression neural network and a fuzzy clustering algorithm to obtain a clustering result;
s303, calculating credibility estimated values of corresponding classifications by setting credibility weight vectors and a network connection credibility algorithm according to the clustering result;
s304, calculating the reliability of the network intrusion rule through an improved associated attribute judgment algorithm, and using the reliability as a basis for dynamically adjusting a rule base in the intrusion detection system;
s305, determining whether to establish the connection between the terminal and the Internet according to the adjusted credibility, and transmitting the geological information of the area to be built of the tunnel.
The clustering result obtained by iteration and training through the generalized regression neural network and the fuzzy clustering algorithm provided by the embodiment of the invention comprises the following steps:
classifying the data according to a fuzzy clustering algorithm, and calculating a clustering center of each class;
FCM combines n vectors xkDividing the data into c fuzzy classes, and calculating the clustering center c of each classiTo minimize the fuzzy objective function;
the objective function of fuzzy clustering is:
wherein d isij＝||ci-xjI is the Euclidean distance of the sample vector from the center point, ciIs the center of the ith class, m is the number of samples, and j is the attribute column; the calculation formula of each cluster center is as follows:
calculating a membership value through a membership function to form a fuzzy matrix;
the membership function is:
selecting a training sample from the fuzzy matrix as the training input of the generalized neural network;
selecting m samples with the minimum distance from the central value in the fuzzy matrix as training samples, and using n x m groups of data as the training input of the generalized neural network; n is the number of classified intrusion data according to a fuzzy clustering algorithm, and m is data between 1 and 5;
predicting and outputting the type of intrusion data according to the training input of the generalized neural network;
data are subdivided into n classes, and a sample closest to the central value of each class is found out to be used as a training sample; and obtaining a clustering result.
As shown in fig. 5, the generalized neural network provided by the embodiment of the present invention is composed of four levels of structures, i.e., an input layer 11, a mode layer 12, a summation layer 13, and an output layer 14.
Example 4
As shown in fig. 2, the method for detecting karst of an affected area of a shield tunnel under a building according to the embodiment of the present invention is a preferred embodiment, and the program for drawing a geological map according to the embodiment of the present invention draws a geological map of an area to be built of a tunnel according to acquired geological information of the area to be built of the tunnel and a geological detection result of a better geological area, and the acquiring of the geological map of the area to be built of the tunnel includes:
acquiring geological information of a tunnel region to be built; acquiring first geological unit data from the geological data, and displaying a first geological map on a main screen according to the first geological unit data; acquiring a geological detection result of a superior geological region, and displaying a second geological map on an auxiliary screen according to the geological detection result of the superior geological region; obtaining a geological map of a region to be built of the tunnel based on the first geological map and the second geological map;
example 5
The method for detecting the karst of the shield tunnel affected area under the building, provided by the embodiment of the invention, is shown in fig. 2, and as a preferred embodiment, a geological map provided by the embodiment of the invention comprises stratum, landform, geological structure, hydrogeology, environmental geology and seismic geological information; the rock mass information comprises the grade of surrounding rock, the structure of the rock mass and the water-bearing, sand-bearing and soil-bearing conditions of the rock mass.
Example 6
As shown in fig. 2, an evaluation criterion database provided in the embodiment of the present invention includes an earth surface settlement evaluation criterion and an evaluation index, and an underground structure safety evaluation criterion and an evaluation index.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, and any modification, equivalent replacement, and improvement made by those skilled in the art within the technical scope of the present invention disclosed herein, which is within the spirit and principle of the present invention, should be covered by the present invention.
Claims (10)
1. The utility model provides a shield tunnel influences regional karst detecting system under building, its characterized in that shield tunnel influences regional karst detecting system under building includes:
the geological information acquisition module is connected with the central control module and used for acquiring geological information of the region to be built of the tunnel through a geological information acquisition program to obtain the geological information of the region to be built of the tunnel;
the geological information of the area to be built of the tunnel is obtained through the geological information obtaining program, and the geological information of the area to be built of the tunnel is obtained, and the geological information obtaining method comprises the following steps: performing network access, and acquiring geological information of a region to be built of a tunnel through a network;
the network access includes:
removing the dimension of each attribute, and carrying out vector normalization on the original matrix to obtain a normalized matrix R (R)ln)L×NWherein r isInIs composed of
Establishing a weighted standardized decision matrix V; the user module has user preference weight information stored therein for indicating different preference degrees of each attribute when the terminal selects the network, and the weight vector of the attribute is assumed as W ═ W1...wn...wN]T，wnIs a weight corresponding to the nth attribute, and
n is more than or equal to 1 and less than or equal to N; wherein the maximum wnThe attribute corresponding to the user's preference plays an important role in the network selection result, and each column of attribute values in the specification matrix R is multiplied by the corresponding weight to obtain a weighted and standardized decision matrix V (V ═ mln)L×NWherein v islnIs composed of
vln＝wnrln；
Determining positive ideal schemes Q for all schemes+Sum negative ideal scheme Q-：
Respectively calculating Euclidean distances between the candidate schemes and the positive and negative ideal schemes;
each candidate scheme and positive ideal scheme Q+S distance ofl +Is composed of
Distance S between each candidate solution and negative ideal solutionl -Is composed of
Calculating the relative closeness A of the candidate scheme and the positive ideal schemel +：
When the distance S between the candidate scheme and the negative ideal schemel -The larger, the distance S from the positive ideal solutionl +The smaller, Al +Closer to 1, indicating closer to the positive ideal; when S isl -The smaller, Sl +The larger, Al +Closer to 0, indicating closer to negative ideal;
the candidate solutions are ranked and the optimal solution is selected. According to the proximity A of the candidate scheme and the ideal schemel +A isl +As the utility function, selecting the candidate scheme with the maximum utility function value as the optimal network selection scheme l*Namely, it is
Scheme l*The single or multiple wireless network interfaces are opened, and the mobile terminal performs access of multiple networks;
the information analysis module is connected with the central control module and used for analyzing the geological information of the to-be-built area of the tunnel through an information analysis program to obtain an information analysis result and determine a better geological area in the to-be-built area of the tunnel;
the vertical drilling module is connected with the central control module and is used for vertically drilling in a better geological region through a vertical drilling program;
the geological detection module is connected with the central control module and used for detecting along the vertical drill hole through a geological detector to obtain a geological detection result;
the central control module is connected with the geological information acquisition module, the information analysis module, the vertical drilling module and the geological detection module and is used for controlling the operation of each connecting module through a main control computer and ensuring the normal operation of each module;
the geological map drawing module is connected with the central control module and used for drawing a geological map of the tunnel to-be-built region according to the acquired geological information of the tunnel to-be-built region and a geological detection result of a better geological region through a geological map drawing program to obtain the geological map of the tunnel to-be-built region;
the geological map drawing program is used for drawing the geological map of the tunnel to-be-built region according to the obtained geological information of the tunnel to-be-built region and the geological detection result of the better geological region, and the step of obtaining the geological map of the tunnel to-be-built region comprises the following steps:
acquiring geological information of a tunnel region to be built; acquiring first geological unit data from the geological data, and displaying a first geological map on a main screen according to the first geological unit data;
acquiring a geological detection result of a superior geological region, and displaying a second geological map on an auxiliary screen according to the geological detection result of the superior geological region;
obtaining a geological map of a region to be built of the tunnel based on the first geological map and the second geological map;
the geological model building module is connected with the central control module and used for building a geological model according to a geological map of the region to be built of the tunnel through a geological model building program to obtain the geological model of the region to be built of the tunnel;
the tunnel path planning module is connected with the central control module and used for planning a tunnel path in a geological model of the constructed tunnel to-be-constructed area through a tunnel path planning program to obtain a simulated constructed tunnel, and determining a real tunnel path in the tunnel to-be-constructed area according to the simulated tunnel;
the horizontal drilling module is connected with the central control module and used for horizontally drilling the periphery of the real path of the tunnel through the horizontal directional drilling machine to obtain a horizontal drilling hole;
and the karst distribution detection module is connected with the central control module and is used for detecting the karst distribution through a karst distribution detection program according to the ultrasonic analysis device and through horizontal drilling to obtain the karst distribution information of the area to be built in the tunnel.
2. The system of claim 1, wherein the geological information of the area to be built of the tunnel comprises: the method comprises the following steps of topographic map, planning map above the ground, geological map, drilling map and underground structure distribution map, rock mass information, underground water information and address information of a region to be built of the tunnel.
3. The system for detecting karst in the affected area of the shield tunnel under the building according to claim 1, wherein the analyzing the geological information of the area to be built of the tunnel through the information analyzing program to obtain the information analyzing result comprises:
transmitting the acquired geological information of the tunnel region to be built;
establishing a graphic database according to a topographic map, a planning map above the ground, a geological map, a drilling map and an underground structure distribution map, and establishing an attribute database according to rock mass information, underground water information and address information of a region to be established of the tunnel;
establishing an analysis and evaluation database, wherein the analysis and evaluation database comprises an evaluation standard database and an evaluation result database;
establishing an earth surface movement and deformation evaluation system based on an RFPA software platform;
inputting the collected geological information of the tunnel to-be-built area into an earth surface movement and deformation evaluation system to obtain an evaluation result; and comparing the evaluation result with the information in the evaluation standard database to obtain an information analysis result.
4. The system for detecting karst in the affected area of the shield tunnel under the building according to claim 3, wherein the step of transmitting the acquired geological information of the area to be built of the tunnel comprises:
carrying out data preprocessing and feature extraction on different types of network connection data;
according to the extracted features, iteration and training are carried out through a generalized regression neural network in combination with a fuzzy clustering algorithm to obtain a clustering result;
calculating credibility estimated values of corresponding classifications by setting credibility weight vectors and a network connection credibility algorithm according to the clustering result;
calculating the reliability of the network intrusion rule through an improved associated attribute judgment algorithm, and using the reliability as a basis for dynamically adjusting a rule base in an intrusion detection system;
and determining whether to establish connection between the terminal and the internet according to the adjusted credibility, and transmitting the geological information of the area to be built of the tunnel.
5. The system for detecting karst in the affected area of the shield tunnel under the building according to claim 4, wherein the clustering result obtained by iteration and training through the generalized regression neural network in combination with the fuzzy clustering algorithm comprises:
classifying the data according to a fuzzy clustering algorithm, and calculating a clustering center of each class;
FCM combines n vectors xkDividing the data into c fuzzy classes, and calculating the clustering center c of each classiTo minimize the fuzzy objective function;
the objective function of fuzzy clustering is:
wherein d isij＝||ci-xjI is the Euclidean distance of the sample vector from the center point, ciIs the center of the ith class, m is the number of samples, and j is the attribute column; the calculation formula of each cluster center is as follows:
calculating a membership value through a membership function to form a fuzzy matrix;
the membership function is:
selecting a training sample from the fuzzy matrix as the training input of the generalized neural network;
selecting m samples with the minimum distance from the central value in the fuzzy matrix as training samples, and using n x m groups of data as the training input of the generalized neural network; n is the number of classified intrusion data according to a fuzzy clustering algorithm, and m is data between 1 and 5;
predicting and outputting the type of intrusion data according to the training input of the generalized neural network;
data are subdivided into n classes, and a sample closest to the central value of each class is found out to be used as a training sample; and obtaining a clustering result.
6. The system of claim 5, wherein the generalized neural network comprises a quaternary structure of an input layer, a mode layer, a summation layer, and an output layer.
7. The system of claim 1, wherein the geological map includes stratigraphic, geomorphologic, geological, hydrogeological, environmental geological, and seismic geological information; the rock mass information comprises the grade of surrounding rock, the structure of the rock mass and the water-bearing, sand-bearing and soil-bearing conditions of the rock mass.
8. The system for detecting karst in the shield tunnel affected area under the building of claim 1, wherein the evaluation criterion database comprises surface subsidence evaluation criteria and evaluation indexes, and underground structure safety assessment evaluation criteria and evaluation indexes.
9. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for applying the shield tunnel zone of influence karst detection system of any one of claims 1 to 8 under a building when executed on an electronic device.
10. A computer readable storage medium storing instructions which, when executed on a computer, cause the computer to apply the system for detecting karst in an area of influence of a shield tunnel under a building according to any one of claims 1 to 8.
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