CN114692273A - TBM (tunnel boring machine) -oriented construction tunnel geological dictionary establishing method and system - Google Patents
TBM (tunnel boring machine) -oriented construction tunnel geological dictionary establishing method and system Download PDFInfo
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Abstract
The application provides a tunnel geological dictionary building method for TBM construction, which comprises the following steps: identifying the size of a slag on a TBM belt conveyor through a vision system to construct a slag particle size vector, constructing a tunneling parameter vector according to a tunneling parameter in a control system of the TBM, and counting the development condition of a tunnel face joint crack by using the downtime to obtain a statistical vector; constructing a neural network model through a neural network algorithm according to the slag piece particle size vector, the tunneling parameter vector and the statistical vector; analyzing the slag slice image and the tunneling parameters acquired in the TBM operation process through the neural network model to obtain tunnel face joint crack development condition characteristic data, and obtaining TBM pose coordinate data at the same time through a TBM guide system; and constructing a three-dimensional geological data dictionary model according to the TBM pose coordinate data and the tunnel face joint crack development condition characteristic data.
Description
Technical Field
The application relates to the field of tunnel construction, in particular to a tunnel geological dictionary building method and system for TBM construction.
Background
In tunnel construction, the development condition, category, strength, crushing degree and the like of a surrounding rock joint are main basis for determining TBM construction parameters and support parameters, the original appearance of the surrounding rock state directly influences construction efficiency, equipment integrity rate and tunnel operation and maintenance in the later period, the surrounding rock condition cannot be seen due to the fact that a tunnel face cannot be directly observed and an excavated tunnel is sprayed with mortar and supported in TBM construction, the existing main method is to manually observe the slag piece condition on a belt conveyor, carry out inspection test on the slag piece or judge by utilizing early-stage geological survey data, the integrity and the joint condition of the tunnel surrounding rock cannot be judged, and the defect that information is incomplete is inaccurate is caused.
In recent years, there are also some new advances in intelligent identification of surrounding rocks, for example, patent CN113657515A (a classification method based on rock sensitive parameter identification and improved FMC model tunnel surrounding rock grade) discloses a surrounding rock grade classification method based on TBM tunneling parameters, but the method only relies on tunneling parameters to identify and classify the surrounding rock grade; in patent CN107577862A (a TBM real-time sensing system and method for rock mass excavation state), surrounding rock grades are comprehensively recognized by establishing databases of excavation parameters, rock mass characteristics and the like, but the method needs manual statistics on the surrounding rock characteristic parameters, the parameters are subjected to rock machine system model training, and the final effect of evaluation on the surrounding rock grades is also achieved; patent CN113256082A (an intelligent geological sketch and geological evaluation method for tunnel face) identifies joint cracks of the face by vision, establishes a three-dimensional dynamic model of surrounding rock, and implements geological operation and maintenance, but the method is not suitable for TBM construction conditions that cannot be observed by the face; in summary, the identification of the surrounding rock in the current TBM construction is still limited to the judgment of the category of the surrounding rock, but the identification method of the complete tunnel geological joint development condition is still blank.
Disclosure of Invention
The application aims to provide a TBM-oriented construction tunnel geological dictionary establishing method and system, a complete TBM construction tunnel geological model is established through information such as a slag discharge state, TBM tunneling parameters and cutter spacing, the purposes of surrounding rock classification, surrounding rock development condition inversion and support parameter decision are achieved, and therefore TBM tunneling parameter optimization, tunnel operation and maintenance and the like are guided.
In order to achieve the above object, the method for establishing a tunnel geological dictionary for TBM-oriented construction provided by the present application specifically includes: identifying the size of a slag on a TBM belt conveyor through a vision system to construct a slag particle size vector, constructing a tunneling parameter vector according to a tunneling parameter in a control system of the TBM, and counting the development condition of a tunnel face joint crack by using the downtime to obtain a statistical vector; constructing a neural network model through a neural network algorithm according to the slag sheet particle size vector, the tunneling parameter vector and the statistical vector; analyzing the slag slice image and the tunneling parameters acquired in the TBM operation process through the neural network model to obtain tunnel face joint crack development condition characteristic data, and obtaining TBM pose coordinate data at the same time through a TBM guide system; and constructing a three-dimensional geological data dictionary model according to the TBM pose coordinate data and the tunnel face joint crack development condition characteristic data.
In the method for establishing a tunnel geological dictionary for TBM-oriented construction, optionally, identifying the size of the slag on the TBM belt conveyor by a vision system to construct a slag particle size vector includes: identifying the area of the slag sheet on the BM belt conveyor through a vision system arranged on the TBM belt conveyor; grading the particle size of the slag pieces according to the area of each slag piece to obtain the quantity of the slag pieces of each grade; and constructing a slag sheet particle size vector according to the number of the slag sheets of each level.
In the method for establishing a geological dictionary for a tunnel under TBM-oriented construction, optionally, constructing a tunneling parameter vector according to a tunneling parameter in a control system of the TBM includes: acquiring tunneling parameters in a control system of the TBM, and respectively carrying out normalization processing on various types of data in the tunneling parameters to generate tunneling parameter vectors; the tunneling parameters comprise cutter head thrust, cutter head rotating speed, penetration degree, cutter spacing, cutter head torque and tunneling indexes.
In the method for establishing the tunnel geological dictionary for TBM-oriented construction, optionally, the development conditions of the joints and cracks of the tunnel face include the number of cracks of the tunnel face, the total trace length of the cracks, the crack ratio, the maximum crack distance and the minimum crack distance.
In the method for establishing a tunnel geological dictionary for TBM-oriented construction, optionally, the establishing a three-dimensional geological data dictionary model according to the TBM pose coordinate data and the tunnel face joint crack development condition feature data includes: performing two-dimensional modeling according to the TBM pose coordinate data and the tunnel face joint crack development condition characteristic data to obtain a two-dimensional model at a corresponding moment; and constructing a three-dimensional geological data dictionary model according to the two-dimensional model at each moment in a preset time period.
The application also provides a geological dictionary establishing system for the TBM construction tunnel, and the system comprises a data acquisition device, a model training device, an analysis device and a dictionary establishing device; the data acquisition device is used for identifying the size of the slag on the TBM belt conveyor through a vision system to construct a slag particle size vector, constructing a tunneling parameter vector according to tunneling parameters in a control system of the TBM, and counting the development condition of the tunnel face joint crack by using the downtime to obtain a statistical vector; the model training device is used for constructing a neural network model through a neural network algorithm according to the slag sheet particle size vector, the tunneling parameter vector and the statistical vector; the analysis device is used for analyzing the slag sheet images and the tunneling parameters acquired in the TBM operation process through the neural network model to obtain characteristic data of the development condition of the tunnel face joint cracks, and obtaining TBM pose coordinate data at the same time through a TBM guide system; the dictionary construction device is used for constructing a three-dimensional geological data dictionary model according to the TBM pose coordinate data and the tunnel face joint crack development condition characteristic data.
In the TBM-oriented construction tunnel geological dictionary establishing system, optionally, the data acquisition device includes an image recognition module, and the image recognition module is configured to recognize the area of the slag on the BM belt conveyor through a vision system installed on the TBM belt conveyor; grading the particle size of the slag pieces according to the area of each slag piece to obtain the quantity of the slag pieces of each grade; and constructing a slag sheet particle size vector according to the number of the slag sheets of each level.
In the TBM-oriented construction tunnel geological dictionary establishing system, optionally, the data acquisition device comprises a tunneling parameter acquisition module, a control system of the tunneling parameter acquisition module is connected with a TBM, and the control system of the TBM is connected with a tunnel tunneling device; the tunneling parameter acquisition module is used for acquiring tunneling parameters in a control system of the TBM, and normalizing various types of data in the tunneling parameters respectively to generate a tunneling parameter vector; the tunneling parameters comprise cutter head thrust, cutter head rotating speed, penetration degree, cutter spacing, cutter head torque and tunneling indexes.
In the tunnel geological dictionary building system for TBM-oriented construction, optionally, the tunneling device includes a cutter head, a cutter supporting portion, a cutter driving portion, a rotational position detecting portion, a strain sensing module, and a data processing module; the cutter supporting part is used for supporting the cutter head and rotating along with the cutter head; the cutter driving part is used for controlling the cutter head and the cutter supporting part to rotate according to the received control instruction; the rotary position detection part is used for detecting the position information of the cutter head in the rotary direction; the strain sensing module is arranged on the cutter head or the cutter supporting part and used for detecting strain force information received by the cutter head or the cutter supporting part; the data processing module respectively with the rotational position detection portion with the sensing module that meets an emergency links to each other, is used for the basis the positional information with meet an emergency information analysis and obtain the effort information of being used in on the blade disc corresponding with the position of blade disc on the direction of rotation.
In the TBM-oriented construction tunnel geological dictionary building system, optionally, the data processing module includes an early warning analysis unit, and the early warning analysis unit is configured to analyze and obtain a distribution condition of the force according to the acting force information; acquiring the eccentric load of the cutter head and the position condition of the eccentric load according to the distribution condition of the force; and generating prompt information according to the comparison results of the partial load, the position condition of the partial load and a preset alarm rule.
In the TBM-oriented construction tunnel geological dictionary building system, optionally, the dictionary building device includes a splicing unit, and the splicing unit is configured to perform two-dimensional modeling according to the TBM pose coordinate data and the tunnel face joint crack development condition feature data to obtain a two-dimensional model at a corresponding time; and constructing a three-dimensional geological data dictionary model according to the two-dimensional model at each moment in a preset time period.
The application also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the method.
The present application also provides a computer-readable storage medium storing a computer program for executing the above method.
The beneficial technical effect of this application lies in: the problem that the geological condition is unclear and original geological data is lacked during tunnel later stage operation and maintenance in the TBM construction can be solved, the real-time identification of the tunnel geological condition of the TBM is realized, and tunnel geological data support is provided for tunnel later stage operation and maintenance.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application, are incorporated in and constitute a part of this application, and are not intended to limit the application. In the drawings:
fig. 1 is a schematic flow chart of a TBM-oriented construction tunnel geological dictionary building method according to an embodiment of the present application;
FIG. 2 is a schematic diagram provided in accordance with an embodiment of the present application;
FIG. 3 is a schematic diagram provided by an embodiment of the present application;
FIG. 4 is a schematic diagram provided in accordance with an embodiment of the present application;
FIG. 5 is a schematic diagram provided in accordance with an embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The following detailed description will be provided with reference to the drawings and examples to explain how to apply the technical means to solve the technical problems and to achieve the technical effects. It should be noted that, as long as there is no conflict, the embodiments and the features of the embodiments in the present application may be combined with each other, and the technical solutions formed are all within the scope of the present application.
Additionally, the steps illustrated in the flow charts of the figures may be performed in a computer system such as a set of computer-executable instructions and, although a logical order is illustrated in the flow charts, in some cases, the steps illustrated or described may be performed in an order different than here.
Referring to fig. 1, the method for establishing a geological dictionary for a tunnel under TBM construction provided by the present application specifically includes:
s101, identifying the size of a slag on a TBM belt conveyor through a vision system to construct a slag particle size vector, constructing a tunneling parameter vector according to a tunneling parameter in a control system of the TBM, and counting the development condition of a tunnel face joint crack by using the downtime to obtain a statistical vector;
s102, establishing a neural network model through a neural network algorithm according to the slag sheet particle size vector, the tunneling parameter vector and the statistical vector;
s103, analyzing the slag slice image and the tunneling parameters acquired in the TBM operation process through the neural network model to obtain characteristic data of the development condition of the tunnel face joint crack, and obtaining TBM pose coordinate data at the same time through a TBM guide system;
s104, constructing a three-dimensional geological data dictionary model according to the TBM pose coordinate data and the tunnel face joint crack development condition characteristic data.
Therefore, in the TBM construction process, the distribution condition of the particle size of the slag stones on the belt conveyor and the equipment tunneling parameters of the TBM are comprehensively utilized, the identification and prediction of the development condition of the tunnel surrounding rock cracks under the TBM construction are realized by establishing a big data model, a three-dimensional geological data dictionary model of the tunnel containing time and longitudinal section geological data along the construction axis is established, the TBM is guided to tunnel, and a geological information database is provided for the later operation and maintenance of the tunnel.
Referring to fig. 2, in an embodiment of the present application, identifying the size of the slag on the TBM belt by the vision system to construct the slag particle size vector may include:
s201, identifying the area of a slag sheet on the BM belt conveyor through a vision system arranged on the TBM belt conveyor;
s202, classifying the grain size of the slag pieces according to the area of each slag piece to obtain the quantity of the slag pieces of each grade;
s203, constructing a slag piece particle size vector according to the number of the slag pieces of each level.
Specifically, in the actual work, can install vision system on the TBM belt feeder, carry out automatic identification to the slag piece on the belt feeder, the area of statistics slag piece to carry out particle size to it and grade, the quantity at different levels of statistics respectively, if: according to<10cm2、10～20cm2、20-30cm2、>30cm2Dividing into 4 grades to form statistical vector S ═ x of slag sheet particle size1 x2 … xn]TWhere n denotes the number of stages, xnRespectively representing the number of identifications at each level.
In an embodiment of the present application, constructing a tunneling parameter vector according to a tunneling parameter in a control system of a TBM includes: acquiring tunneling parameters in a control system of the TBM, and respectively carrying out normalization processing on various types of data in the tunneling parameters to generate tunneling parameter vectors; the tunneling parameters comprise cutter head thrust, cutter head rotating speed, penetration degree, cutter spacing, cutter head torque and tunneling indexes.
Specifically, in actual work, the current tunneling parameter can be obtained through a control system of the TBM, and a tunneling parameter vector K is formed [ T R P L N KPI TPI ]]T(ii) a Wherein T, R, P, L, N, KPI, and TPI respectively represent normalized cutter thrust, cutter rotational speed, penetration, cutter pitch, cutter torque, and diggeability index (KPI ═ T/P, TPI ═ N/P); the normalization method comprises the following steps: where μ denotes the sample mean and σ denotes the sample standard deviation.
In the above embodiments, the development conditions of the joint cracks of the palm surface include the number of cracks of the palm surface, the total trace length of the cracks, the crack ratio, the maximum crack interval and the minimum crack interval. In the link, the development condition of the joint crack of the tunnel face is counted by using the downtime, and a statistical vector M ═ n s c d is obtainedmax dmin](ii) a Wherein n represents the number of cracks of the palm surface, s represents the total trace length of the cracks, and c represents the crack ratio (c ═ s/A, A ═ π R2R represents the excavation radius), dmaxRepresents the maximum distance of the fracture, dminThe minimum fracture spacing is indicated. Then, in step S102, model construction may be performed, and in actual work, the procedure of constructing the neural network model may be as follows:
firstly, multiple groups of data S, K, M under different geological conditions are counted, a network training set is constructed, and a statistical vector Si of the particle size of the slag pieces is ═ S1,S2,…,Si]n×iAnd the tunneling parameter vector Ki ═ K1,K2,…,Ki]7×iThe neural network input layer data set is represented as: SK ═ Si; ki](n+7)×iThe statistical vector MM of the fissure development condition of the output layer is [ M ═ M [ ]1,M2,…,Mi](ii) a The neural network model can be an ELM, RCNN, BP neural network model and the like, the number of model input layers is determined by a vector SK, the number of output layers is determined by an MM, the number of middle hidden layers and each weight coefficient are obtained by a training set, and the training accuracy is not less than a set value (such as 85 percent); solidifying neural network model architecture and weight coefficients after training is completed, and facilitating the tableThe cured model can be expressed as net.
Based on the constructed neural network model, in the TBM operation process, acquiring slag images on the belt conveyor in real time or at intervals for analysis, acquiring TBM tunneling parameters at the same moment, and processing the data in the step 1 and the step 2 to form a tunnel face crack development condition prediction data set SKPredictionInputting the training model net to obtain the characteristic data M of the development condition of the tunnel face crackPrediction。
Referring to fig. 3, in an embodiment of the present application, constructing a three-dimensional geological data dictionary model according to the TBM pose coordinate data and the feature data of the facet joint crack development condition includes:
s301, performing two-dimensional modeling according to the TBM pose coordinate data and the tunnel face joint crack development condition characteristic data to obtain a two-dimensional model at a corresponding moment;
s302, a three-dimensional geological data dictionary model is built according to the two-dimensional model at each moment in a preset time period.
Specifically, in practical work, the TBM pose coordinate data P at the same time can be obtained by the TBM guidance system as (x, y, z, α, β, γ), and the average length s of the crack is obtainedpEstablishing a circular plane with the radius as the excavation radius according to the posture coordinate P, and randomly distributing n fractures with the fracture length sp on the plane to realize the two-dimensional modeling 401 of the development condition of the tunnel face; the method comprises the steps of establishing continuous two-dimensional models of tunnel geological development conditions at different moments, sequentially arranging the models at all the moments to form a three-dimensional geological data dictionary model of the excavated tunnel, realizing real-time identification of tunnel geological conditions of the TBM, and providing tunnel geological data support for later operation and maintenance of the tunnel, wherein the principle can be shown in figure 4.
Referring to fig. 5, the present application further provides a system for building a geological dictionary for a TBM-oriented construction tunnel, where the system includes a data acquisition device, a model training device, an analysis device, and a dictionary building device; the data acquisition device is used for identifying the size of the slag on the TBM belt conveyor through a vision system to construct a slag particle size vector, constructing a tunneling parameter vector according to tunneling parameters in a control system of the TBM, and counting the development condition of the tunnel face joint crack by using the downtime to obtain a statistical vector; the model training device is used for constructing a neural network model through a neural network algorithm according to the slag sheet particle size vector, the tunneling parameter vector and the statistical vector; the analysis device is used for analyzing the slag slice image and the tunneling parameters acquired in the TBM operation process through the neural network model to obtain characteristic data of the growth condition of the tunnel face joint crack, and obtaining TBM position and orientation coordinate data at the same time through a TBM guide system; the dictionary construction device is used for constructing a three-dimensional geological data dictionary model according to the TBM pose coordinate data and the tunnel face joint crack development condition characteristic data.
The dictionary construction device comprises a splicing unit, and the splicing unit is used for performing two-dimensional modeling according to the TBM (tunnel boring machine) pose coordinate data and the tunnel face joint crack development condition characteristic data to obtain a two-dimensional model at a corresponding moment; and constructing a three-dimensional geological data dictionary model according to the two-dimensional model at each moment in a preset time period.
In the embodiment, the data acquisition device comprises an image identification module, wherein the image identification module is used for identifying the area of the slag sheet on the BM belt conveyor through a vision system arranged on the TBM belt conveyor; grading the particle size of the slag pieces according to the area of each slag piece to obtain the quantity of the slag pieces of each grade; and constructing a slag sheet particle size vector according to the number of the slag sheets of each level. In another embodiment, the data acquisition device further comprises a tunneling parameter acquisition module, wherein the control system of the tunneling parameter acquisition module TBM is connected with the tunneling device; the tunneling parameter acquisition module is used for acquiring tunneling parameters in a control system of the TBM, and normalizing various types of data in the tunneling parameters respectively to generate a tunneling parameter vector; the tunneling parameters comprise cutter head thrust, cutter head rotating speed, penetration degree, cutter spacing, cutter head torque and tunneling indexes. The tunneling device comprises a cutter head, a cutter supporting part, a cutter driving part, a rotary position detecting part, a strain sensing module and a data processing module; the cutter supporting part is used for supporting the cutter head and rotating along with the cutter head; the cutter driving part is used for controlling the cutter head and the cutter supporting part to rotate according to the received control instruction; the rotary position detection part is used for detecting the position information of the cutter head in the rotary direction; the strain sensing module is arranged on the cutter head or the cutter supporting part and used for detecting strain force information received by the cutter head or the cutter supporting part; the data processing module respectively with the rotational position detection portion with the sensing module that meets an emergency links to each other, is used for the basis the positional information with meet an emergency information analysis and obtain the effort information of being used in on the blade disc corresponding with the position of blade disc on the direction of rotation.
In an embodiment of the application, the data processing module includes an early warning analysis unit, and the early warning analysis unit is configured to analyze and obtain a distribution condition of the force according to the acting force information; acquiring the eccentric load of the cutter head and the position condition of the eccentric load according to the distribution condition of the force; and generating prompt information according to the comparison results of the partial load, the position condition of the partial load and a preset alarm rule.
The beneficial technical effect of this application lies in: the problem that the geological condition is unclear and original geological data is lacked during tunnel later stage operation and maintenance in the TBM construction can be solved, the real-time identification of the tunnel geological condition of the TBM is realized, and tunnel geological data support is provided for tunnel later stage operation and maintenance.
The application also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the method.
The present application also provides a computer-readable storage medium storing a computer program for executing the above method.
As shown in fig. 6, the electronic device 600 may further include: communication module 110, input unit 120, audio processing unit 130, display 160, power supply 170. It is worthy to note that electronic device 600 also does not necessarily include all of the components shown in FIG. 6; furthermore, the electronic device 600 may also comprise components not shown in fig. 6, which may be referred to in the prior art.
As shown in fig. 6, the central processor 100, sometimes referred to as a controller or operational control, may include a microprocessor or other processor device and/or logic device, the central processor 100 receiving input and controlling the operation of the various components of the electronic device 600.
The memory 140 may be, for example, one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. The information relating to the failure may be stored, and a program for executing the information may be stored. And the central processing unit 100 may execute the program stored in the memory 140 to realize information storage or processing, etc.
The input unit 120 provides input to the cpu 100. The input unit 120 is, for example, a key or a touch input device. The power supply 170 is used to provide power to the electronic device 600. The display 160 is used to display an object to be displayed, such as an image or a character. The display may be, for example, an LCD display, but is not limited thereto.
The memory 140 may be a solid state memory such as Read Only Memory (ROM), Random Access Memory (RAM), a SIM card, or the like. There may also be a memory that holds information even when power is off, can be selectively erased, and is provided with more data, an example of which is sometimes called an EPROM or the like. The memory 140 may also be some other type of device. Memory 140 includes buffer memory 141 (sometimes referred to as a buffer). The memory 140 may include an application/function storage section 142, and the application/function storage section 142 is used to store application programs and function programs or a flow for executing the operation of the electronic device 600 by the central processing unit 100.
The memory 140 may also include a data store 143, the data store 143 for storing data, such as contacts, digital data, pictures, sounds, and/or any other data used by the electronic device. The driver storage portion 144 of the memory 140 may include various drivers of the electronic device for a communication function and/or for performing other functions of the electronic device (e.g., a messaging application, a directory application, etc.).
The communication module 110 is a transmitter/receiver 110 that transmits and receives signals via an antenna 111. The communication module (transmitter/receiver) 110 is coupled to the central processor 100 to provide an input signal and receive an output signal, which may be the same as in the case of a conventional mobile communication terminal.
Based on different communication technologies, a plurality of communication modules 110, such as a cellular network module, a bluetooth module, and/or a wireless local area network module, may be provided in the same electronic device. The communication module (transmitter/receiver) 110 is also coupled to a speaker 131 and a microphone 132 via an audio processor 130 to provide audio output via the speaker 131 and receive audio input from the microphone 132 to implement general telecommunications functions. Audio processor 130 may include any suitable buffers, decoders, amplifiers and so forth. In addition, an audio processor 130 is also coupled to the central processor 100, so that recording on the local can be enabled through a microphone 132, and so that sound stored on the local can be played through a speaker 131.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above-mentioned embodiments are further described in detail for the purpose of illustrating the invention, and it should be understood that the above-mentioned embodiments are only illustrative of the present invention and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (13)
1. A tunnel geological dictionary building method for TBM construction is characterized by comprising the following steps:
identifying the size of a slag on a TBM belt conveyor through a vision system to construct a slag particle size vector, constructing a tunneling parameter vector according to a tunneling parameter in a control system of the TBM, and counting the development condition of a tunnel face joint crack by using the downtime to obtain a statistical vector;
constructing a neural network model through a neural network algorithm according to the slag sheet particle size vector, the tunneling parameter vector and the statistical vector;
analyzing the slag slice image and the tunneling parameters acquired in the TBM operation process through the neural network model to obtain tunnel face joint crack development condition characteristic data, and obtaining TBM pose coordinate data at the same time through a TBM guide system;
and constructing a three-dimensional geological data dictionary model according to the TBM pose coordinate data and the tunnel face joint crack development condition characteristic data.
2. The TBM-oriented construction tunnel geological dictionary establishing method as recited in claim 1, wherein identifying the size of the slag on the TBM belt conveyor through the vision system to construct the slag particle size vector comprises:
identifying the area of the slag sheet on the BM belt conveyor through a vision system arranged on the TBM belt conveyor;
grading the particle size of the slag pieces according to the area of each slag piece to obtain the quantity of the slag pieces of each grade;
and constructing a slag sheet particle size vector according to the number of the slag sheets of each level.
3. The TBM-oriented construction tunnel geological dictionary establishing method according to claim 1, wherein constructing a tunneling parameter vector according to tunneling parameters in a control system of the TBM comprises:
acquiring tunneling parameters in a control system of the TBM, and respectively carrying out normalization processing on various types of data in the tunneling parameters to generate tunneling parameter vectors;
the tunneling parameters comprise cutter head thrust, cutter head rotating speed, penetration degree, cutter spacing, cutter head torque and tunneling indexes.
4. The TBM-oriented construction tunnel geological dictionary establishing method according to claim 1, wherein the development conditions of the joints and cracks of the palm surface comprise the number of cracks of the palm surface, the total trace length of the cracks, the crack ratio, the maximum crack distance and the minimum crack distance.
5. The TBM-oriented construction tunnel geological dictionary establishing method according to claim 1, wherein the establishing of the three-dimensional geological data dictionary model according to the TBM pose coordinate data and the tunnel face joint crack development condition feature data comprises:
performing two-dimensional modeling according to the TBM pose coordinate data and the tunnel face joint crack development condition characteristic data to obtain a two-dimensional model at a corresponding moment;
and constructing a three-dimensional geological data dictionary model according to the two-dimensional model at each moment in a preset time period.
6. A tunnel geological dictionary establishing system for TBM construction is characterized by comprising a data acquisition device, a model training device, an analysis device and a dictionary establishing device;
the data acquisition device is used for identifying the size of slag on the TBM belt conveyor through a vision system to construct a slag particle size vector, constructing a tunneling parameter vector according to a tunneling parameter in a control system of the TBM, and counting the development condition of a tunnel face joint crack by using the downtime to obtain a statistical vector;
the model training device is used for constructing a neural network model through a neural network algorithm according to the slag sheet particle size vector, the tunneling parameter vector and the statistical vector;
the analysis device is used for analyzing the slag sheet images and the tunneling parameters acquired in the TBM operation process through the neural network model to obtain characteristic data of the development condition of the tunnel face joint cracks, and obtaining TBM pose coordinate data at the same time through a TBM guide system;
the dictionary construction device is used for constructing a three-dimensional geological data dictionary model according to the TBM pose coordinate data and the tunnel face joint crack development condition characteristic data.
7. The TBM-oriented construction tunnel geological dictionary building system according to claim 6, wherein the data acquisition device comprises an image recognition module, and the image recognition module is used for recognizing the area of the slag on the BM belt conveyor through a vision system installed on the TBM belt conveyor; grading the particle size of the slag pieces according to the area of each slag piece to obtain the quantity of the slag pieces of each grade; and constructing a slag sheet particle size vector according to the number of the slag sheets of each level.
8. The TBM-oriented construction tunnel geological dictionary establishing system according to claim 6, wherein the data acquisition device comprises a tunneling parameter acquisition module, a control system of the tunneling parameter acquisition module is connected with a TBM, and the control system of the TBM is connected with a tunneling device; the tunneling parameter acquisition module is used for acquiring tunneling parameters in a control system of the TBM, and normalizing various types of data in the tunneling parameters respectively to generate a tunneling parameter vector; the tunneling parameters comprise cutter head thrust, cutter head rotating speed, penetration degree, cutter spacing, cutter head torque and tunneling indexes.
9. The TBM-oriented construction tunnel geological dictionary building system according to claim 8, wherein the tunneling device comprises a cutter head, a cutter supporting part, a cutter driving part, a rotation position detecting part, a strain sensing module and a data processing module; the cutter supporting part is used for supporting the cutter head and rotating along with the cutter head; the cutter driving part is used for controlling the cutter head and the cutter supporting part to rotate according to the received control instruction; the rotary position detection part is used for detecting the position information of the cutter head in the rotary direction; the strain sensing module is arranged on the cutter head or the cutter supporting part and is used for detecting strain force information received by the cutter head or the cutter supporting part; the data processing module is respectively connected with the rotating position detection part and the strain sensing module and used for analyzing and obtaining acting force information acting on the cutter head corresponding to the position of the cutter head in the rotating direction according to the position information and the strain force information.
10. The TBM-oriented construction tunnel geological dictionary establishing system according to claim 9, wherein the data processing module comprises an early warning analysis unit, and the early warning analysis unit is used for analyzing and obtaining force distribution conditions according to the acting force information; acquiring the eccentric load of the cutter head and the position condition of the eccentric load according to the distribution condition of the force; and generating prompt information according to the comparison result of the partial load and the position condition of the partial load and a preset alarm rule.
11. The TBM-oriented construction tunnel geological dictionary establishing system according to claim 6, wherein the dictionary establishing device comprises a splicing unit, and the splicing unit is used for performing two-dimensional modeling according to the TBM pose coordinate data and the tunnel face joint crack development condition characteristic data to obtain a two-dimensional model at a corresponding moment; and constructing a three-dimensional geological data dictionary model according to the two-dimensional model at each moment in a preset time period.
12. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any of claims 1 to 5 when executing the computer program.
13. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 1 to 5 by a computer.
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