Earth pressure balance shield intelligent tunneling auxiliary method and system

Abstract

The application discloses a kind of earth pressure balance shield intelligent tunneling auxiliary method and system, belong to tunnel engineering technical field.The system includes: including tunneling parameter real-time forwarding system, shield construction intelligent computing background and data big screen;The system first obtains real-time tunneling parameter by the tunneling parameter real-time forwarding system installed in ground monitoring computer in construction site, then in shield construction intelligent computing background, in combination with pre-imported and sensor real-time acquisition geological parameters, geometric parameters, vibration parameters, construction parameters etc., call each machine learning model that has been trained to carry out instant prediction, obtain the result data of each functional module, finally the result is visualized, and the calculation result, real-time parameter and construction basic information etc.are shown by data big screen as the main interface of system.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of tunnel engineering, and particularly relates to an earth pressure balance shield intelligent tunneling auxiliary method and system. BACKGROUND

[0002] The earth pressure balance shield machine is composed of multiple complex systems, and the working states of the equipment in each system are mainly reflected by the equipment parameters recorded in the tunneling process. These parameters are generally collectively referred to as tunneling parameters. The changes between the tunneling parameters are not independent, but a mutually coupled process. At the same time, the regulation of some tunneling parameters is not directly performed, but is indirectly regulated through the adjustment of other systems. In the process of using the earth pressure balance shield to construct a tunnel, the regulation of the tunneling parameters usually needs to comprehensively consider various factors such as the geological conditions of the shield, the buried depth, the shield size and the line arrangement. How to accurately perceive the environment of the shield machine and reasonably regulate the tunneling parameters to ensure the safe and efficient tunneling of the shield machine is the biggest problem faced by all projects.

[0003] In the current shield construction process, the construction environment of the shield machine is complex and changeable, and the responses of various equipment are interlinked. How to monitor and regulate the large amount of shield parameters generated in the shield operation process is extremely dependent on the personal experience of the shield driver. The driver first needs to judge the stratum where the shield machine body and the working face are located by multiple factors to select the corresponding tunneling strategy, and also needs to dynamically adjust multiple tunneling parameters according to the line design and the shield posture, which involves a large amount of subjective judgment and operation. At the same time, due to the improper control of shield tunneling, the ground surface displacement overrun and the attitude overrun caused by overbreak / underbreak of the stratum lead to obvious lag phenomenon in the processing of the problems, and often need to be adjusted after the problems or accidents occur, which has a certain impact on the subsequent construction. At present, the information-based, digitalized and intelligentized shield construction technology is in a rapid development stage. In the field of shield tunneling control platform, domestic and foreign shield construction and equipment manufacturing enterprises have carried out active exploration, but mainly focus on information-based construction, and the development space in the field of intelligent control is still large. For earth pressure balance or slurry balance shields, there is no intelligent control platform that can realize automatic propulsion or parallel loading.

[0004] At present, an intelligent auxiliary system for shield machines is urgently needed, which integrates functions such as information display, stratum prediction, auxiliary decision-making, overbreak / underbreak warning, ground surface displacement prediction and historical data query. SUMMARY

[0005] The embodiment of the present application aims to provide a soil pressure balance shield intelligent tunneling auxiliary method and system, which realizes the application and interaction of eleven function modules including six calculation core function modules and five data display function modules based on the real-time collected shield tunneling parameters and the pre-processed geological information and geometric information, and finally puts the data large screen in the form of a webpage into the computer terminal or mobile terminal in the construction site for application and display, so as to solve at least one technical problem involved in the background technology.

[0006] In order to solve the above technical problems, the present application is implemented as follows:

[0007] The embodiment of the present application provides a soil pressure balance shield intelligent tunneling auxiliary system, which comprises a tunneling parameter real-time forwarding system, a shield construction intelligent calculation background and a data large screen.

[0008] The tunneling parameter real-time forwarding system is used to acquire engineering information, shield posture and real-time tunneling parameters.

[0009] The shield construction intelligent calculation background is used to clean, automatically store and standardize the data transmitted by the tunneling parameter real-time forwarding system and the imported engineering data, build a standardized shield construction intelligent calculation database, then call the calculation core function modules for operation, output the operation results, and send the operation results to the data large screen after processing by the data display function modules; the core function modules specifically include a working face stratum prediction model, a stratum overbreak and underbreak prediction model, an advanced posture prediction model, a tunneling parameter optimization model, a ground surface displacement prediction model and a soil chamber pressure prediction model; the data display function modules include an engineering basic information module, a dynamic stratum information module, a real-time tunneling parameter module, a historical posture deviation backtracking module and a historical tunneling parameter backtracking module.

[0010] The data large screen is used to receive the processed operation results and visually display them.

[0011] Optionally, the tunneling parameter real-time forwarding system runs in the ground monitoring room of a shield tunneling project, receives engineering information and tunneling parameters generated by the shield machine operation at a frequency of one per second by calling the data interface provided by the shield machine manufacturer, and transmits the data to the intelligent tunneling auxiliary system background through the cloud.

[0012] Optionally, the engineering information includes shield position, working state and construction progress.

[0013] Optionally, the shield construction intelligent calculation background comprises an import interface for importing engineering data.

[0014] The engineering data includes a geological exploration report, engineering basic information, a tunnel design axis, geological data, a geological map, historical tunneling parameters, historical tunneling attitude data, historical vibration sensor data, historical mucking data, ground surface displacement monitoring data, and a shield driving experience rule base.

[0015] Optionally, the shield construction intelligent computing background includes an automatic database building module configured to clean the data transmitted by the tunneling parameter real-time forwarding system and the imported engineering data to automatically identify and filter abnormal data points, automatically store and standardize the cleaned data according to construction specifications, build a standardized shield construction intelligent computing database to realize automatic classification and matching.

[0016] Optionally, the tunnel face stratum prediction model is configured to call real-time and historical vibration sensor data and shield tunneling parameters, perform standardized filtering and analysis operations, construct a table as a model input according to a structure in which each ring is a row of a database, and then perform operations by calling a classification model constructed based on an SVM algorithm to realize real-time prediction of the stratum in which the shield tunneling tunnel face is located.

[0017] The ground surface displacement prediction model is configured to call real-time and historical shield tunneling parameters, corresponding position geological and geometric parameters, construction parameters and distance parameters obtained by analyzing real-time tunneling parameters, construct a table as a model input according to a structure in which each ring is a row of a database, and then perform operations by calling a deep learning model file constructed based on a Bi-LSTM algorithm and uploaded to the shield construction intelligent computing background to realize real-time prediction of ground surface displacement caused by shield tunneling.

[0018] The tunneling parameter optimization model is configured to call geological information of a non-tunneling section in front of a shield tunneling machine and match the information with a shield driving experience rule base to obtain corresponding driving experience rules, infer reasonable ranges of the tunneling parameters, and then use a particle swarm optimization algorithm (PSO) to finally determine a set of tunneling parameter values that minimize shield tunneling construction risks, maximize construction efficiency, and meet scientific parameter setting requirements in the ranges as recommended parameters to realize intelligent recommendation of shield tunneling parameters.

[0019] The stratum overbreak and underbreak prediction model is configured to call real-time high-precision belt scale parameters and theoretical mucking weight in a cylinder stroke at a corresponding position imported in advance, construct a table as a model input according to a structure in which each ring is a row of a database, and then perform operations by calling a shield tunneling mucking amount real-time prediction model file that has been trained in advance and uploaded to the shield construction intelligent computing background, and compare the mucking amount with the theoretical mucking amount in real time to finally realize real-time sensing of shield tunneling stratum overbreak and underbreak.

[0020] The advanced attitude prediction model is used to construct a data set containing shield surrounding geological characteristics and construction operation parameters by calling real-time and historical shield tunneling parameters, geological maps of corresponding positions, geological data and geometric parameters, and then performing operation by calling a deep learning model constructed based on a CNN-LSTM framework to realize shield attitude prediction in a future time;

[0021] The soil chamber pressure prediction model is used to construct a table as a model input by calling real-time and historical shield tunneling parameters, geological data of corresponding positions and geometric parameters, taking each minute as a row of the database structure, performing operation by calling a deep learning model file constructed based on a convolutional neural network CNN and a gated recurrent unit GRU algorithm which has been trained in advance and uploaded to a shield construction intelligent computing background to realize real-time prediction of shield soil chamber pressure.

[0022] Optionally, the engineering basic information module is used to analyze real-time shield tunneling parameters, and combined with pre-input engineering basic information, construction progress information can be obtained;

[0023] The dynamic stratum information module is used to obtain soil layer type and soil layer thickness information on each ring section of the shield interval by pre-importing engineering geological exploration data, automatic calculation by the data crawler in the background, and then calling pre-imported tunnel design axis, real-time shield attitude and shield tunneling parameters to finally obtain spatial distribution information of each soil body, position and elevation information of the shield machine;

[0024] The real-time tunneling parameter module is used to call shield real-time parameters and calculation results of the shield tunneling parameter intelligent recommendation module to obtain current value, set value and recommended value of important tunneling parameters;

[0025] The historical attitude deviation backtracking module is used to call shield historical attitude deviation data and sort them by ring;

[0026] The historical tunneling parameter backtracking module is used to call shield second-level real-time tunneling parameters and historical tunneling parameters by ring and sort them by time.

[0027] Optionally, the data large screen includes eight visual interfaces, namely, engineering overview interface, stratum information display and prediction interface, auxiliary decision-making interface, stratum overbreak and underbreak prediction interface, attitude deviation display and prediction interface, data management interface, ground surface displacement prediction interface and soil chamber pressure prediction interface.

[0028] Optionally, the engineering profile sub-interface is used to display the current engineering profile, including the working state and working progress of the shield machine; the stratum information display and prediction interface is used to dynamically display the overall geological conditions of the project and the geological conditions around the tunnel from the geological exploration data, to update the stratum information of the position where the shield is located based on the geological exploration data and the prediction results of the stratum type of the tunnel face based on the shield tunneling parameters in real time, and the stratum information supports zoom adjustment of the detailed stratum; the auxiliary decision-making interface is used to display the current value, set value and recommended value of the important tunneling parameters in the shield tunneling process in real time; the stratum overbreak and underbreak prediction interface is used to display the theoretical and predicted earthwork quantity information of the ring recently completed; the attitude deviation display and prediction interface is used to display the historical front shield and rear shield attitude in the shield tunneling process and the expected attitude change of the subsequent multiple rings; the data management interface is used to allow the user to view the historical change of multiple tunneling parameters in the tunneling process of a certain specific ring, and supports the tracing and analysis of each tunneling parameter data; the ground surface displacement prediction interface is used to present the prediction results of the ground surface settlement and the measured value of the ground surface settlement; and the soil chamber pressure prediction interface is used to present the prediction results of the soil chamber pressure and the measured value of the soil chamber pressure.

[0029] The application further provides a soil pressure balance shield intelligent tunneling auxiliary method based on the soil pressure balance shield intelligent tunneling auxiliary system, and the method comprises the following steps:

[0030] Obtaining engineering information, shield attitude and real-time tunneling parameters;

[0031] Cleaning, automatically storing and standardizing the data transmitted by the tunneling parameter real-time forwarding system and the imported engineering data, building a standardized shield construction intelligent calculation database, then calling a calculation core function module to perform operation, outputting the operation results, and then sending the operation results to the data large screen after processing the operation results by a data display function module;

[0032] Receiving the processed operation results and performing visual display.

[0033] The application further provides an electronic device, comprising:

[0034] At least one processor;

[0035] At least one memory for storing at least one program;

[0036] When the at least one program is executed by the at least one processor, the at least one processor implements the steps of the method of the first aspect.

[0037] The application further provides a readable storage medium, wherein the readable storage medium stores a program or instructions, and the program or instructions are executed by a processor to implement the steps of the method of the first aspect.

[0038] The application further provides a chip comprising a processor and a communication interface, the communication interface and the processor being coupled, the processor being used for running programs or instructions to realize the method.

[0039] Compared with the prior art, the application has the following beneficial effects:

[0040] 1. The tunneling parameter real-time forwarding system of the application only needs to be installed in a ground monitoring room, without the need to be installed in a shield machine being tunneling, and the data acquisition and forwarding function thereof will not cause any impact on the tunneling of the shield machine and the normal construction of a shield project.

[0041] 2. The shield machine tunnel face front stratum type real-time prediction module in the application can assist a shield driver in making a real-time judgment on the stratum type in front of the tunnel face, and compared with the traditional construction process in which the stratum is inferred by observing the discharged soil, the module solves the lag faced by the time-consuming and lengthy construction process in which the soil is first cut to the soil chamber and then transported to the discharge port by the screw conveyor for judgment, can provide real-time construction early warning at the first time when the shield machine encounters adverse geological conditions, and can greatly reduce the shield construction risk under adverse geological conditions.

[0042] 3. The shield tunneling induced ground surface displacement real-time prediction module in the application can assist a shield driver in making a real-time perception on the ground surface displacement, and compared with the traditional ground surface settlement measurement process in which manual measurement by a monitoring unit is needed, the module realizes real-time prediction of the settlement, greatly reduces the lag in the monitoring process, and improves the frequency of settlement prediction.

[0043] 4. The shield tunneling parameter real-time recommendation module in the application can assist a shield driver in making shield tunneling parameter recommendation under various complex conditions, and compared with the traditional construction process in which the tunneling parameter control relies on the personal experience of the shield driver, the module realizes shield tunneling parameter control relying on the geological conditions and stratum response, and improves the safety and scientific nature of shield tunneling.

[0044] 5. The shield tunneling induced stratum overbreak and underbreak prediction module in the application can assist a shield driver in making accurate estimation on the shield soil discharge amount, and making real-time judgment on whether the current ring tunneling causes overbreak of the stratum, compared with the traditional construction process in which the soil discharge amount is roughly estimated by visually observing the soil capacity in the discharge vehicle and then judging whether overbreak occurs.

[0045] 6. The shield tunneling attitude advanced prediction module in the application can realize prediction of the subsequent shield attitude change according to the shield tunneling parameters and geological conditions, compared with the passive perception of the attitude in the traditional construction, and assists the driver in making advance adjustment on the tunneling strategy according to the subsequent tunneling attitude change.

[0046] 7、The shield earth chamber pressure prediction module is arranged in the application, which can assist the shield driver to comprehensively judge the distribution of the earth chamber pressure in space, and reduce the dependence on the earth pressure sensor.

[0047] 8、The data large screen is arranged in the application, which realizes parallel arrangement in the computer terminal or mobile terminal in the form of webpage in the construction site. BRIEF DESCRIPTION OF DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0049] Figure 1 is the functional framework diagram of the earth pressure balance shield intelligent tunneling auxiliary system provided by the present application;

[0050] Figure 2 is the flow chart of the earth pressure balance shield intelligent tunneling auxiliary method provided by the present application;

[0051] Figure 3 is one of the hardware structure schematic diagrams of the electronic device provided by the present application;

[0052] Figure 4 is the second hardware structure schematic diagram of the electronic device provided by the present application. DETAILED DESCRIPTION

[0053] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings of the embodiments of the present application. Obviously, the described embodiments are some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0054] The terms "first", "second" and the like in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be exchanged under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second" and the like are generally a class, and are not limited to the number of objects, for example, the first object can be one or more. In addition, "and / or" in the specification and claims indicates at least one of the connected objects, and the character " / ", generally indicates that the front and rear associated objects are in an "or" relationship.

[0055] The intelligent earth pressure balance shield tunneling auxiliary method and system provided by the present invention will be described in detail below with reference to the accompanying drawings, through specific embodiments and application scenarios.

[0056] Please see Figure 1 As shown in the figure, this embodiment of the invention provides an intelligent tunneling auxiliary system for earth pressure balance shield tunneling, including a real-time tunneling parameter forwarding system, an intelligent calculation backend for shield tunneling construction, and a large data screen.

[0057] The real-time tunneling parameter forwarding system is used to acquire engineering information, shield attitude, and real-time tunneling parameters. The engineering information includes shield location, working status, and construction progress.

[0058] Specifically, the real-time tunneling parameter forwarding system operates in the ground monitoring room of the tunnel boring machine (TBM) project. It does not require installation inside the TBM and will not interfere with normal TBM construction. By calling the data interface provided by the TBM manufacturer, it receives basic engineering information, including TBM position, working status, and construction progress, as well as all tunneling parameters and guidance data generated by the TBM operation, once per second. This data is then transmitted via the cloud to the intelligent tunneling auxiliary system backend for automated data processing.

[0059] The intelligent computing backend for tunnel boring machine (TBM) construction, serving as the data processing and computing center, is deployed on a high-performance server. It undertakes the core task of storing, processing, and analyzing data transmitted from the real-time tunneling parameter forwarding system. By storing this data sequentially and supporting complex query operations, it ensures the smooth progress of subsequent data analysis and processing. Simultaneously, through automated processing, it cleans and standardizes the real-time collected tunneling parameters, attitude data, and sensor data, automatically identifying and filtering abnormal data points, and standardizing the data according to construction specifications, ultimately forming a standardized intelligent computing database for TBM construction. The backend also supports batch import of various types of data, including basic project information, tunnel design axes, geological data, geological maps, historical tunneling parameters, historical tunneling attitude data, historical vibration sensor data, historical muck discharge data, surface displacement monitoring data, and a TBM driving experience rule base. It automatically categorizes and matches these data, then calls the core computing module for calculations, outputs the results, and finally processes the results through the data display module before sending them to the large data screen.

[0060] The shield construction intelligent computing background includes an automatic database building module, which is used for cleaning data transmitted by the real-time forwarding system of the tunneling parameter and imported engineering data to automatically identify and filter abnormal data points, and automatically storing and standardizing the cleaned data according to construction specifications, so as to build a standardized shield construction intelligent computing database to realize automatic classification and matching. Specifically, the engineering data includes geological exploration reports, engineering basic information, tunnel design axes, geological data, geological maps, historical tunneling parameters, historical tunneling attitude data, historical vibration sensor data, historical slag discharge data, ground surface displacement monitoring data, and a shield driving experience rule library.

[0061] The shield construction intelligent computing background includes an import interface for importing engineering data. Specifically, the engineering data includes geological exploration reports, engineering basic information, tunnel design axes, geological data, geological maps, historical tunneling parameters, historical tunneling attitude data, historical vibration sensor data, historical slag discharge data, ground surface displacement monitoring data, and a shield driving experience rule library.

[0062] The core function module specifically includes a working face stratum prediction model, a stratum overbreak and underbreak prediction model, an advanced attitude prediction model, a tunneling parameter optimization model, a ground surface displacement prediction model, and a soil chamber pressure prediction model. Specifically, the working face stratum prediction model is used to call real-time and historical vibration sensor data and shield tunneling parameters, perform standardized filtering and analysis operations, construct a table as a model input according to a structure of each ring as a row of the database, and then perform operations by calling a classification model constructed based on an SVM algorithm to realize real-time prediction of the stratum where the shield tunneling working face is located.

[0063] The ground surface displacement prediction model is used to call real-time and historical shield tunneling parameters, corresponding position geological and geometric parameters, construction parameters and distance parameters obtained by analyzing real-time tunneling parameters, construct a table as a model input according to a structure of each ring as a row of the database, and then perform operations by calling a deep learning model file constructed based on a Bi-LSTM algorithm and trained in advance and uploaded to the shield construction intelligent computing background to realize real-time prediction of ground surface displacement caused by shield tunneling.

[0064] The tunneling parameter optimization model is used to obtain corresponding driving experience rules by calling geological information of a non-tunneling section in front of the shield tunneling machine and matching the shield driving experience rule library, infer reasonable ranges of each tunneling parameter, and then finally determine a set of tunneling parameter values that minimize the shield tunneling construction risk, maximize the construction efficiency, and meet the scientific parameter setting requirements in the range by using a particle swarm optimization algorithm PSO, as recommended parameters, to realize intelligent recommendation of shield tunneling parameters.

[0065] The stratum overbreak and underbreak prediction model is used to build a table as a model input by calling real-time high-precision belt scale parameters and pre-imported theoretical tapping weight in the stroke of the corresponding position oil cylinder, taking each ring as a row of the structure of the database, then performing operation by calling a shield tunneling tapping amount real-time prediction model file which has been pre-trained and uploaded to the shield construction intelligent calculation background, and comparing with the theoretical tapping amount in real time, and finally realizing real-time perception of shield tunneling stratum overbreak and underbreak.

[0066] The advanced attitude prediction model is used to build a data set containing shield surrounding geological features and construction operation parameters by calling real-time and historical shield tunneling parameters, geological maps and data and geometric parameters at the corresponding position, then performing operation by calling a deep learning model built based on a CNN-LSTM framework, to realize shield attitude prediction in a certain time in the future.

[0067] The earth pressure prediction model is used to build a table as a model input by calling real-time and historical shield tunneling parameters, geological data and geometric parameters at the corresponding position, taking each minute as a row of the structure of the database, then performing operation by calling a deep learning model file built based on a convolutional neural network CNN and a gated recurrent unit GRU algorithm, which has been pre-trained and uploaded to the shield construction intelligent calculation background, to realize real-time prediction of shield earth pressure.

[0068] In general, when the shield machine reaches a specific construction position, the system can query and match the geological conditions at the corresponding position in real time, and match various parameters such as shield tunneling parameters, attitude parameters and weighing parameters, realize automatic construction of the data table required by each prediction model, then the shield construction intelligent calculation background performs calculation by calling each pre-trained model, and finally obtains the calculation results of each core function module.

[0069] The data display function module includes an engineering basic information module, a dynamic stratum information module, a real-time tunneling parameter module, a historical attitude deviation backtracking module and a historical tunneling parameter backtracking module.

[0070] The engineering basic information module is used to analyze real-time shield tunneling parameters, and combined with pre-input engineering basic information, construction progress information can be obtained.

[0071] The dynamic stratum information module is used to obtain soil layer type and thickness information on each ring section of the shield by pre-importing geological exploration data of the interval where the project is located, and the data crawler in the background will automatically calculate, then pre-imported tunnel design axis, real-time shield attitude and shield tunneling parameters are called, and finally spatial distribution information of each soil body, position and elevation information of the shield machine are obtained.

[0072] The real-time tunneling parameter module is configured to call shield real-time parameters and a calculation result of a shield tunneling parameter intelligent recommendation module, and obtain current values, set values and recommended values of important tunneling parameters.

[0073] The historical attitude deviation backtracking module is configured to call shield historical attitude deviation data and sort the data according to rings.

[0074] The historical tunneling parameter backtracking module is configured to call second-level real-time tunneling parameters and historical tunneling parameters of a shield according to rings, and sort the parameters according to time.

[0075] The data large screen is configured to receive processed calculation results and perform visual display.

[0076] The data large screen is constructed using EChart technology and includes eight visual interfaces, namely, an engineering profile interface, a stratum information display and prediction interface, an auxiliary decision-making interface, a stratum overbreak and underbreak prediction interface, an attitude deviation display and prediction interface, a data management interface, a ground surface displacement prediction interface and a soil chamber pressure prediction interface.

[0077] Specifically, the engineering profile sub-interface is configured to display a current engineering profile, including a working state and a working progress of a shield tunneling machine; the stratum information display and prediction interface is configured to dynamically display overall geological conditions of an engineering and geological conditions around a tunnel from geological exploration data, and to update stratum information of a position where a shield is located based on the geological exploration data and stratum type prediction results of a tunnel face based on shield tunneling parameters in real time, and the stratum information supports zoom adjustment of detailed strata; the auxiliary decision-making interface is configured to display current values, set values and recommended values of important tunneling parameters in a shield tunneling process in real time; the stratum overbreak and underbreak prediction interface is configured to display theoretical and predicted earth volume information of a ring that has been recently completed; the attitude deviation display and prediction interface is configured to display historical front shield and rear shield attitudes in a shield tunneling process and expected attitude changes of subsequent rings; the data management interface is configured to allow a user to view historical changes of multiple tunneling parameters in a tunneling process of a specific ring, and supports tracing and analyzing of each tunneling parameter data; the ground surface displacement prediction interface is configured to present prediction results of ground surface settlement and measured values of the ground surface settlement; and the soil chamber pressure prediction interface is configured to present prediction results of soil chamber pressure and measured values of the soil chamber pressure.

[0078] In combination with the above Figure 2 The application further provides a soil pressure balance shield intelligent tunneling auxiliary method based on the soil pressure balance shield intelligent tunneling auxiliary system, and the method comprises the following steps:

[0079] Step S1: obtaining engineering information, a shield attitude and real-time tunneling parameters;

[0080] Step S2, the data transmitted by the tunneling parameter real-time forwarding system and the imported engineering data are cleaned, automatically stored and standardized, a standardized shield construction intelligent calculation database is built, then a calculation core function module is called to perform operation, an operation result is output, and after the operation result is processed by a data display function module, the operation result is sent to the data large screen;

[0081] Step S3, the processed operation result is received and visualized.

[0082] As Figure 3 shown, the present application also provides an electronic device 600, which comprises a processor 601, a memory 602, a program or instruction stored in the memory 602 and executable on the processor 601, the program or instruction is executed by the processor 601 to realize the processes of the above-mentioned 3DGS-based panoramic reconstruction method embodiments, and the same technical effects can be achieved, to avoid repetition, which will not be repeated here.

[0083] It should be noted that the first electronic device in the present application includes the above-mentioned mobile electronic device and non-mobile electronic device.

[0084] Figure 4 A hardware structure schematic diagram of an electronic device provided by the present application is provided.

[0085] The electronic device 700 includes but is not limited to: a radio frequency unit 701, a network module 702, an audio output unit 703, an input unit 704, a sensor 705, a display unit 706, a user input unit 707, an interface unit 708, a memory 709, and a processor 710, etc.

[0086] Those skilled in the art can understand that the electronic device 700 can also include a power supply (such as a battery) for powering each component, and the power supply can be logically connected to the processor 710 through a power management system, so as to realize the functions of managing charging, discharging, and power consumption management through the power management system. Figure 4 The electronic device structure shown in the above-mentioned figure does not constitute a limitation on the electronic device, and the electronic device can include more or fewer components than the figure, or combine certain components, or different component arrangements, which will not be repeated here.

[0087] It should be understood that in the embodiments of the present application, the input unit 704 can include a graphics processing unit (GPU) 7041 and a microphone 7042, and the graphics processing unit 7041 processes image data of a still image or a video obtained by an image capture device (such as a camera) in a video capture mode or an image capture mode. The display unit 706 can include a display panel 7061, which can be configured in the form of a liquid crystal display, an organic light-emitting diode, etc. The user input unit 707 includes a touch panel 7071 and other input devices 7072. The touch panel 7071 is also called a touch screen. The touch panel 7071 can include two parts of a touch detection device and a touch controller. The other input devices 7072 can include, but are not limited to, a physical keyboard, function keys (such as volume control keys, on-off keys, etc.), trackballs, mice, joysticks, etc., which will not be described here. The memory 709 can be used to store software programs and various data, including but not limited to application programs and operating systems. The processor 710 can integrate an application processor and a modem processor, wherein the application processor mainly processes operating systems, user interfaces and application programs, etc., and the modem processor mainly processes wireless communication. It can be understood that the above-mentioned modem processor can also not be integrated into the processor 710.

[0088] The embodiments of the present application also provide a readable storage medium, which stores programs or instructions, and the programs or instructions are executed by a processor to realize various processes of the above method and achieve the same technical effects. To avoid repetition, details will not be described here.

[0089] The processor is a processor in the electronic device. The readable storage medium includes a computer readable storage medium, such as a computer readable memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a magnetic disk or an optical disk, etc.

[0090] The present application further provides a chip, which includes a processor and a communication interface, the communication interface is coupled with the processor, and the processor is used to run programs or instructions to realize various processes of the above method and achieve the same technical effects. To avoid repetition, details will not be described here.

[0091] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip, etc.

[0092] It has to be understood that, in the present document, the terms "comprising", "including", or any other variant thereof, are intended to cover a non-exclusive inclusion, such that processes, methods, articles, or apparatuses that comprise a list of elements are not limited to those elements, but can include other elements not expressly listed or inherent to such processes, methods, articles, or apparatuses. Without further limitation, an element preceded by "comprises a" does not, without more constraints, foreclose the existence of additional identical elements in the process, method, article, or apparatus that comprises the recited element.

[0093] Furthermore, it is indicated that the scope of the methods and apparatuses of the embodiments of the present application is not limited to performing functions in the order discussed or illustrated, and includes performing functions in other orders, or substantially concurrently, in response to the function involved, such as performing the described methods in a different order than described, and also adding, omitting, or combining various steps. In addition, features described in relation to certain examples can be combined in other examples.

[0094] The embodiments of the present application described above are merely illustrative, and are not intended to limit the present application, and the present application is not limited to the above-described embodiments, and various modifications can be made by those skilled in the art without departing from the scope of the present application, and all such modifications are intended to fall within the scope of the present application.

Claims

1. An earth pressure balance shield tunneling intelligent excavation auxiliary system, characterized in that, The tunneling parameter real-time forwarding system, the shield construction intelligent computing background, and a data large screen are included. The tunneling parameter real-time forwarding system is used for obtaining engineering information, a shield posture, and real-time tunneling parameters. The shield construction intelligent computing background is used for cleaning, automatically storing, and standardizing processing data transmitted by the tunneling parameter real-time forwarding system and imported engineering data, building a standardized shield construction intelligent computing database, then calling a computing core function module to perform operation, outputting operation results, and sending the operation results to the data large screen after processing by a data display function module. The data display function module includes an engineering basic information module, a dynamic stratum information module, a real-time tunneling parameter module, a historical posture deviation backtracking module, and a historical tunneling parameter backtracking module.

2. The earth pressure balance shield tunneling intelligent auxiliary system according to claim 1, characterized in that, The data large screen is used for receiving processed operation results and performing visual display.

3. The earth pressure balance shield intelligent tunneling auxiliary system according to claim 2, characterized in that, The engineering information includes a shield position, a working state, and a construction progress. The shield construction intelligent computing background includes an import interface for importing engineering data.

4. The earth pressure balance shield intelligent tunneling auxiliary system of claim 1, wherein, The engineering data includes a geological exploration report, engineering basic information, a tunnel design axis, geological data, a geological map, historical tunneling parameters, historical tunneling posture data, historical vibration sensor data, historical slag discharge data, surface displacement monitoring data, and a shield driving experience rule base. The stratum prediction model of the working face is used for calling real-time and historical vibration sensor data and shield tunneling parameters, performing standardized filtering and analysis operations, constructing a table as a model input according to each ring as a row of the database structure, then performing operation by calling a classification model based on the SVM algorithm, and realizing real-time prediction of the stratum where the shield tunneling working face is located. The ground surface displacement prediction model is used to call real-time and historical shield tunneling parameters, geological and geometric parameters of the corresponding position, construction parameters and distance parameters obtained by analyzing the real-time tunneling parameters, construct a table as a model input according to the structure of each ring as a row of the database, and then perform operation by calling a deep learning model file constructed based on a Bi-LSTM algorithm and uploaded to a shield construction intelligent calculation background, so as to realize real-time prediction of ground surface displacement caused by shield tunneling. The tunneling parameter optimization model is used to obtain corresponding driving experience rules by calling geological information of a non-tunneling section in front of the shield tunneling machine and matching with a shield driving experience rule library, infer reasonable ranges of each tunneling parameter, and finally determine a set of tunneling parameter values that minimize the risk of the non-tunneling section, maximize the construction efficiency, and meet the scientific parameter setting requirements by using a particle swarm optimization algorithm (PSO) in the range, as recommended parameters, so as to realize intelligent recommendation of shield tunneling parameters. The stratum overbreak and underbreak prediction model is used to call real-time high-precision belt scale parameters and pre-imported theoretical residue weight within the cylinder stroke of the corresponding position, construct a table as a model input according to the structure of each ring as a row of the database, then perform operation by calling a shield tunneling residue amount real-time prediction model file that has been trained in advance and uploaded to a shield construction intelligent calculation background, and compare with the theoretical residue amount in real time, so as to finally realize real-time sensing of shield tunneling stratum overbreak and underbreak. The advanced attitude prediction model is used to call real-time and historical shield tunneling parameters, geological maps, geological data and geometric parameters of the corresponding position, construct a data set containing shield surrounding geological features and construction operation parameters, and then perform operation by calling a deep learning model constructed based on a CNN-LSTM framework, so as to realize shield attitude prediction in a future period of time. The earth pressure prediction model is used to call real-time and historical shield tunneling parameters, geological data and geometric parameters of the corresponding position, construct a table as a model input according to the structure of each minute as a row of the database, perform operation by calling a deep learning model file constructed based on a convolutional neural network (CNN) and a gated recurrent unit (GRU) algorithm and uploaded to a shield construction intelligent calculation background, so as to realize real-time prediction of shield earth pressure.

5. The earth pressure balance shield intelligent tunneling auxiliary system according to claim 4, characterized in that, The engineering basic information module is used to analyze real-time shield tunneling parameters, and obtain construction progress information in combination with pre-imported engineering basic information. The dynamic stratum information module is used to pre-import geological exploration data of an interval where the project is located, and the data crawler in the background will automatically calculate to obtain soil layer type and soil layer thickness information on each ring section in the interval where the shield is located, then call pre-imported tunnel design axis, real-time shield attitude and shield tunneling parameters, and finally obtain spatial distribution information of each soil body, position and elevation information of the shield tunneling machine. The real-time tunneling parameter module is configured to call shield real-time parameters and a calculation result of a shield tunneling parameter intelligent recommendation module, and obtain current values, set values and recommended values of important tunneling parameters. The historical attitude deviation backtracking module is configured to call shield historical attitude deviation data, and sort the data according to rings. The historical tunneling parameter backtracking module is configured to call shield second-level real-time tunneling parameters and historical tunneling parameters according to rings, and sort the parameters according to time.

6. The earth pressure balance shield machine intelligent tunneling assistance system of claim 1, wherein, The engineering profile interface is configured to display a current engineering profile, including a working state and a working progress of a shield machine; the stratum information display and prediction interface is configured to dynamically display overall engineering geology and geological conditions around a tunnel from geological exploration data, to update stratum information of a position of the shield based on the geological exploration data in real time, and to update stratum type prediction results of a tunnel face based on shield tunneling parameters, and to support zoom adjustment of detailed stratum information; the auxiliary decision-making interface is configured to display current values, set values and recommended values of important tunneling parameters in a shield tunneling process in real time; the stratum overbreak and underbreak prediction interface is configured to display theoretical and predicted earthwork information of a ring that has been recently completed; the attitude deviation display and prediction interface is configured to display historical front shield and rear shield attitudes in a shield tunneling process and expected attitude changes of subsequent rings; the data management interface is configured to allow a user to view historical changes of multiple tunneling parameters in a tunneling process of a specific ring, and to support tracing and analyzing of each tunneling parameter data; the ground surface displacement prediction interface is configured to present prediction results of ground surface settlement and measured values of the ground surface settlement; and the soil chamber pressure prediction interface is configured to present prediction results of soil chamber pressure and measured values of the soil chamber pressure.

7. A method of earth pressure balance shield tunneling assistance based on the earth pressure balance shield tunneling assistance system according to any one of claims 1-6, characterized in that, The method comprises the following steps: Obtaining engineering information, a shield attitude and real-time tunneling parameters; Cleaning, automatically storing and standardizing processing data transmitted by the tunneling parameter real-time forwarding system and imported engineering data, building a standardized shield construction intelligent calculation database, then calling a calculation core function module to perform calculation, outputting calculation results, and then sending the calculation results to the data large screen after processing the calculation results by a data display function module; Receiving the processed calculation results and performing visual display.

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