Earth pressure balance shield intelligent tunneling auxiliary method and system

Abstract

The invention discloses an earth pressure balance shield intelligent tunneling auxiliary method and system, and belongs to the technical field of tunnel engineering. The system comprises a tunneling parameter real-time forwarding system, a shield construction intelligent calculation background and a large data screen, according to the system, firstly, real-time tunneling parameters are obtained through a tunneling parameter real-time forwarding system in a ground monitoring computer installed on a construction site, and then geological parameters, geometric parameters, vibration parameters, construction parameters and the like which are imported in advance and collected by sensors in real time are combined in a shield construction intelligent calculation background; all the trained machine learning models are called for real-time prediction, result data of all the function modules are obtained, finally, results are visualized, and calculation results, real-time parameters, construction basic information and the like are displayed through a large data screen serving as a main interface of the system.

Description

Technical Field

[0001] The present invention belongs to the technical field of tunnel engineering, and in particular relates to an intelligent tunneling auxiliary method and system for an earth pressure balance shield. Background Art

[0002] The earth pressure balance shield machine is composed of multiple complex systems. The working status of the equipment in each system is mainly reflected by the equipment parameters recorded during the excavation process, which are usually collectively referred to as excavation parameters. The changes between the excavation parameters are not independent, but a mutually coupled process. At the same time, the regulation of certain excavation parameters is not directly carried out, but indirectly regulated by adjusting other systems. In the process of using the earth pressure balance shield to construct a tunnel, the regulation of excavation parameters usually needs to comprehensively consider the geological conditions, burial depth, shield size and line arrangement of the shield. How to accurately perceive the environment of the shield machine and reasonably adjust the excavation parameters to ensure the safe and efficient excavation 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 interconnected. How to monitor and control a large number of shield parameters generated during the operation of the shield machine 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 face are located based on multiple factors to select the corresponding excavation strategy. It is also necessary to dynamically adjust multiple excavation parameters according to the line design and shield posture, which involves a lot of subjective judgment and operation. At the same time, due to improper shield excavation control, there is an obvious lag in the treatment of problems such as surface displacement exceeding the limit and posture exceeding the limit caused by over / under excavation of the stratum, which often need to be adjusted after the problem or accident occurs, which has a significant impact on subsequent construction. At present, information-based, digital, and intelligent shield construction technology is in a rapid development stage. In terms of shield excavation control platforms, shield construction and equipment manufacturing companies at home and abroad have actively explored, but they are mainly concentrated in information-based construction. There is still a lot of room for development in the field of intelligent control. For earth pressure or slurry balance shields, there is no intelligent control platform that can realize automatic propulsion or parallel loading.

[0004] At present, there is an urgent need for an intelligent auxiliary system for shield machines that integrates functions such as information display, stratum prediction, decision support, over-excavation / under-excavation warning, surface displacement prediction and historical data query. Summary of the invention

[0005] The purpose of an embodiment of the present invention is to provide an earth pressure balance shield intelligent excavation assistance method and system, which realizes the application and interaction of eleven functional modules including six computing core functional modules and five data display functional modules based on real-time collected shield excavation parameters and pre-processed geological information and geometric information, and finally puts a large screen of data in the form of a web page on a computer terminal or mobile terminal at the construction site for application and display, thereby solving at least one technical problem involved in the background technology.

[0006] In order to solve the above-mentioned technical problems, the present invention is achieved as follows:

[0007] The embodiment of the present invention provides an earth pressure balance shield intelligent tunneling auxiliary system, including a tunneling parameter real-time forwarding system, a shield construction intelligent calculation background and a data screen; wherein:

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

[0009] The shield construction intelligent computing 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 computing database, and then call the computing core function module to perform calculations, output the calculation results, and then send the calculation results to the data large screen after processing by the data display function module; the core function module specifically includes the face stratum prediction model, the stratum over-excavation prediction model, the advanced posture prediction model, the tunneling parameter optimization model, the surface displacement prediction model and the soil bin pressure prediction model; the data display function module includes the basic engineering information module, the dynamic stratum information module, the real-time tunneling parameter module, the historical posture deviation backtracking module and the historical tunneling parameter backtracking module;

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

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

[0012] Optionally, the engineering information includes shield location, working status and construction progress.

[0013] Optionally, the shield construction intelligent computing background includes an import interface for importing engineering data;

[0014] The engineering data include geological survey reports, basic engineering information, tunnel design axis, geological data, geological maps, historical excavation parameters, historical excavation posture data, historical vibration sensor data, historical slag data, surface displacement monitoring data, and a shield driving experience rule library.

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

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

[0017] The surface displacement prediction model is used to retrieve real-time and historical shield tunneling parameters, geological and geometric parameters of corresponding positions, construction parameters and distance parameters obtained by analyzing real-time tunneling parameters, and construct a table as a model input in a structure where each ring is a row of a database. Subsequently, a deep learning model file based on the Bi-LSTM algorithm that has been trained in advance and uploaded to the shield construction intelligent computing background is called for calculation to realize real-time prediction of surface displacement caused by shield tunneling.

[0018] The excavation parameter optimization model is used to obtain the geological information of the unexcavated section in front of the shield machine and match it with the shield driving experience rule library to obtain the corresponding driving experience rules, infer the reasonable range of each excavation parameter, and then use the particle swarm optimization algorithm PSO to finally determine a set of excavation parameter values ​​within the range that make the unexcavated section meet the requirements of minimizing shield excavation construction risks, maximizing construction efficiency, and scientific parameter setting, as recommended parameters, to achieve intelligent recommendation of shield excavation parameters;

[0019] The stratum over-excavation and under-excavation prediction model is used to retrieve the real-time high-precision belt scale parameters and the theoretical slag discharge weight within the cylinder stroke at the corresponding position that is pre-imported, and to construct a table as a model input according to the structure of each ring as a row of the database. Subsequently, the real-time prediction model file of shield excavation slag discharge volume that has been pre-trained and uploaded to the shield construction intelligent calculation background is called to perform calculations, and the calculations are compared with the theoretical slag discharge volume in real time, so as to finally realize the real-time perception of shield excavation stratum over-excavation and under-excavation;

[0020] The advanced posture prediction model is used to construct a data set including geological characteristics around the shield and construction operation parameters by retrieving real-time and historical shield excavation parameters, geological maps, geological data and geometric parameters of corresponding positions, and then calculate by calling a deep learning model built based on the CNN-LSTM framework to realize the prediction of the shield posture within a certain period of time in the future;

[0021] The soil bin pressure prediction model is used to retrieve real-time and historical shield tunneling parameters, geological data and geometric parameters at corresponding positions, and construct a table as a model input with a structure of one row of the database per minute. The deep learning model file based on the convolutional neural network CNN and the gated recurrent unit GRU algorithm, which has been pre-trained and uploaded to the shield construction intelligent computing background, is called to perform calculations to realize real-time prediction of the shield soil bin pressure.

[0022] Optionally, the basic engineering information module is used to obtain construction progress information by analyzing real-time shield tunneling parameters and combining them with pre-input basic engineering information;

[0023] The dynamic stratum information module is used to import the geological survey data of the section where the project is located in advance, and the data crawler in the background will automatically calculate to obtain the soil type and soil thickness information on each ring section of the section where the shield is located, and then retrieve the pre-imported tunnel design axis, real-time shield posture and shield excavation parameters, and finally obtain the spatial distribution information of each soil body, the position and elevation information of the shield machine;

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

[0025] The historical posture deviation backtracking module is used to retrieve the historical posture deviation data of the shield machine and sort them by ring;

[0026] The historical excavation parameter backtracking module is used to retrieve the shield machine's second-level real-time excavation parameters and historical excavation parameters by loop, and sort them by time.

[0027] Optionally, the data screen includes eight visualization interfaces, namely, project overview interface, stratum information display and prediction interface, auxiliary decision interface, stratum over-excavation and under-excavation prediction interface, attitude deviation display and prediction interface, data management interface, surface displacement prediction interface and soil bin pressure prediction interface.

[0028] Optionally, the project overview sub-interface is used to display the current project overview, including the working status and 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 geological survey data, and to update in real time the stratum information of the shield location based on geological survey data and the prediction results of the face stratum type based on shield tunneling parameters. The stratum information supports the scaling adjustment of detailed strata; the auxiliary decision interface is used to display in real time the current values, set values ​​and recommended values ​​of important tunneling parameters during shield tunneling; the stratum over-excavation and under-excavation prediction interface Used to display the theoretical and predicted excavation volume information of the ring that has completed excavation most recently; the posture deviation display and prediction interface is used to display the historical front and rear shield postures during the shield excavation process and the expected posture changes of subsequent multiple rings; the data management interface is used to allow the user to view the historical changes of multiple excavation parameters during the excavation of a specific ring, and supports the tracing and analysis of various excavation parameter data; the surface displacement prediction interface is used to present the predicted results of surface settlement and the measured values ​​of surface settlement; the soil bin pressure prediction interface is used to present the predicted results of soil bin pressure and the measured values ​​of soil bin pressure.

[0029] The present invention also provides an earth pressure balance shield intelligent excavation auxiliary method based on the earth pressure balance shield intelligent excavation auxiliary system, the method comprising the following steps:

[0030] Obtain engineering information, shield posture and real-time excavation parameters;

[0031] Clean, automatically store and standardize the data transmitted by the real-time forwarding system for tunneling parameters and the imported engineering data, build a standardized intelligent computing database for shield construction, and then call the computing core function module to perform calculations, output the calculation results, and then process the calculation results through the data display function module before sending them to the data large screen;

[0032] Receive the processed calculation results and display them visually.

[0033] The present invention also 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 described in the first aspect.

[0037] The present invention also provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0038] The present invention also provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run a program or instruction to implement the method described.

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

[0040] 1. The real-time forwarding system for tunneling parameters of the present invention only needs to be installed in the ground monitoring room, and does not need to be installed in the shield machine that is being tunneled. Its data collection and forwarding functions will not cause any impact on the tunneling of the shield machine and the normal construction of the shield project.

[0041] 2. The present invention is equipped with a real-time prediction module for the stratum type in front of the shield machine's heading face, which can assist the shield machine driver in real-time identification of the stratum type in front of the heading face. Compared with the traditional construction process of inferring the stratum by observing the slag discharge situation, it solves the lag faced by the time-consuming and lengthy construction process of first cutting the soil into the soil bin and then transporting it to the slag outlet by a screw conveyor before making a judgment. It can provide real-time construction warning as soon as the shield machine encounters adverse geological conditions, which can greatly reduce the risk of shield construction under adverse geological conditions.

[0042] 3. The present invention is equipped with a real-time prediction module for surface displacement caused by shield tunneling, which can assist the shield driver to perceive the surface displacement in real time. Compared with the traditional surface settlement measurement process that requires waiting for the monitoring unit to conduct manual measurement, it realizes real-time prediction of settlement, greatly reduces the lag in the monitoring process, and improves the frequency of settlement prediction.

[0043] 4. The present invention is equipped with a real-time recommendation module for shield tunneling parameters, which can assist shield drivers in recommending shield tunneling parameters in various complex situations. Compared with the traditional construction process in which tunneling parameter control relies on the personal experience of the shield driver, the shield tunneling parameter control based on geological conditions and stratum response is realized, thereby improving the safety and scientificity of shield tunneling.

[0044] 5. The present invention is equipped with a module for predicting over-excavation or under-excavation of the strata caused by shield tunneling. Compared with the traditional construction process in which the excavation volume is roughly estimated by visually observing the volume of slag in the slag truck and then judging whether it is over-excavation, this module can assist the shield driver to accurately estimate the shield excavation volume and judge in real time whether the excavation of the current ring will cause over-excavation of the strata.

[0045] 6. The present invention is equipped with an advanced prediction module for shield tunneling posture. Compared with the passive perception of posture in traditional construction, it can predict subsequent shield posture changes based on shield tunneling parameters and geological conditions, and assist the driver to make advance adjustments to the tunneling strategy based on subsequent tunneling posture changes.

[0046] 7. The present invention is equipped with a shield soil bin pressure prediction module, which can assist the shield driver in making a comprehensive judgment on the distribution of soil bin pressure in space and reduce the dependence on soil pressure sensors.

[0047] 8. The present invention is equipped with a large data screen, which enables parallel loading in the form of a web page on a computer terminal or a mobile terminal at the construction site. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work, among which:

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

[0050] Figure 2 It is a flow chart of the earth pressure balance shield intelligent excavation auxiliary method provided by the present invention;

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

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

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] The terms "first", "second", etc. in the specification and claims of the present invention 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 interchanged where appropriate, so that the embodiments of the present invention can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. are generally of the same type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

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

[0056] See also Figure 1 As shown, an embodiment of the present invention provides an earth pressure balance shield intelligent excavation auxiliary system, including a real-time forwarding system for excavation parameters, an intelligent calculation background for shield construction, and a large data screen.

[0057] The tunneling parameter real-time forwarding system is used to obtain engineering information, shield machine posture and real-time tunneling parameters. The engineering information includes shield machine position, working status and construction progress.

[0058] Specifically, the real-time forwarding system for tunneling parameters is operated in the ground monitoring room of the shield tunneling project. It does not need to go down the well to enter the shield machine for installation, and will not have any additional impact on the normal construction of the shield. By calling the data interface provided by the shield machine manufacturer, the basic engineering information including the shield position, working status, construction progress, etc. and all tunneling parameters and guidance data generated by the operation of the shield machine are received once per second, and transmitted to the background of the intelligent tunneling auxiliary system through the cloud, so that the background can automatically process the data accordingly.

[0059] The shield construction intelligent computing background is deployed on a high-performance server as a data processing and computing center, and is responsible for the core task of storing, processing and analyzing the data transmitted by the real-time forwarding system of the excavation parameters. By storing these data in order and supporting complex query operations, the subsequent data analysis and processing are ensured to proceed smoothly. At the same time, the excavation parameters, posture data and sensor data collected in real time are cleaned and standardized through the automated processing process, abnormal data points are automatically identified and filtered, and the data is standardized according to the construction specifications, and finally a standardized shield construction intelligent computing database is formed. The background also supports batch import of various types of data such as basic engineering information, tunnel design axis, geological data, geological maps, historical excavation parameters, historical excavation posture data, historical vibration sensor data, historical slag data, surface displacement monitoring data, shield driving experience rule base, etc., and realizes automatic classification and matching, and then calls the calculation core function module to perform calculations, outputs the calculation results, and then processes the calculation results through the data display function module before sending them to the data large screen.

[0060] The shield construction intelligent computing background includes an automated database building module, which is used to clean the data transmitted by the real-time forwarding system of tunneling parameters and the imported engineering data to automatically identify and filter abnormal data points, and automatically store and standardize the cleaned data according to the construction specifications, and build a standardized shield construction intelligent computing database to achieve automatic classification and matching. Specifically, the engineering data includes geological survey reports, basic engineering information, tunnel design axes, geological data, geological maps, historical tunneling parameters, historical tunneling posture data, historical vibration sensor data, historical slag data, surface displacement monitoring data, and shield driving experience rule base.

[0061] The shield construction intelligent computing background includes an import interface for importing engineering data. Specifically, the engineering data includes geological survey reports, basic engineering information, tunnel design axis, geological data, geological maps, historical excavation parameters, historical excavation posture data, historical vibration sensor data, historical slag data, surface displacement monitoring data, and shield driving experience rule base.

[0062] The core functional modules specifically include a face stratum prediction model, a stratum over-excavation and under-excavation prediction model, an advance posture prediction model, an excavation parameter optimization model, a surface displacement prediction model, and a soil bin pressure prediction model. Specifically, the face stratum prediction model is used to retrieve real-time and historical vibration sensor data and shield excavation parameters, perform standardized filtering and analysis operations, and construct a table as a model input with each ring as a row of the database. Subsequently, the classification model constructed based on the SVM algorithm is called to perform calculations to achieve real-time prediction of the stratum in which the shield excavation face is located.

[0063] The surface displacement prediction model is used to retrieve real-time and historical shield tunneling parameters, geological and geometric parameters of corresponding positions, construction parameters and distance parameters obtained by analyzing real-time tunneling parameters, and construct a table as a model input with each ring as a row of the database. Subsequently, the deep learning model file based on the Bi-LSTM algorithm that has been pre-trained and uploaded to the shield construction intelligent computing background is called for calculation to realize real-time prediction of surface displacement caused by shield tunneling.

[0064] The tunneling parameter optimization model is used to obtain the geological information of the unexcavated section in front of the shield machine and match it with the shield driving experience rule library to obtain the corresponding driving experience rules, infer the reasonable range of each tunneling parameter, and then use the particle swarm optimization algorithm PSO to finally determine a set of tunneling parameter values ​​within the range that make the unexcavated section meet the requirements of minimizing shield tunneling construction risks, maximizing construction efficiency, and scientific parameter setting, as recommended parameters, to achieve intelligent recommendation of shield tunneling parameters.

[0065] The stratum over-excavation and under-excavation prediction model is used to retrieve the real-time high-precision belt scale parameters and the theoretical slag discharge weight within the cylinder stroke of the corresponding position that has been pre-imported, and to construct a table as a model input with each ring as a row of the database. Subsequently, the real-time prediction model file of the shield excavation slag discharge volume that has been pre-trained and uploaded to the shield construction intelligent computing background is called to perform calculations, and the calculation is compared with the theoretical slag discharge volume in real time, ultimately achieving real-time perception of the over-excavation and under-excavation of the shield excavation stratum.

[0066] The advanced posture prediction model is used to construct a data set containing geological characteristics around the shield and construction operation parameters by retrieving real-time and historical shield excavation parameters, geological maps, geological data and geometric parameters of the corresponding positions, and then calculates by calling a deep learning model built based on the CNN-LSTM framework to realize the prediction of the shield posture within a certain period of time in the future.

[0067] The soil bin pressure prediction model is used to retrieve real-time and historical shield tunneling parameters, geological data and geometric parameters at corresponding positions, and construct a table as a model input with a structure of one row of the database per minute. The deep learning model file based on the convolutional neural network CNN and the gated recurrent unit GRU algorithm, which has been pre-trained and uploaded to the shield construction intelligent computing background, is called to perform calculations to realize real-time prediction of the shield soil bin pressure.

[0068] In general, when the shield machine arrives at a specific construction location, the system can query and match the geological conditions of the corresponding location in real time, and match it with various parameters such as shield excavation parameters, posture parameters, weighing parameters, etc., to achieve automatic construction of the data tables required for each prediction model. Then the intelligent calculation background of the shield construction calls the pre-trained models for calculation, and finally obtains the calculation results of each core functional module.

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

[0070] The basic engineering information module is used to obtain construction progress information by analyzing the real-time shield tunneling parameters and combining them with the pre-input basic engineering information.

[0071] The dynamic stratum information module is used to pre-import the geological survey data of the section where the project is located. The background data crawler will automatically calculate and obtain the soil type and thickness information on each ring section of the section where the shield is located, and then retrieve the pre-imported tunnel design axis, real-time shield posture and shield excavation parameters, and finally obtain the spatial distribution information of each soil body, the position and elevation information of the shield machine.

[0072] The real-time tunneling parameter module is used to retrieve the calculation results of the shield real-time parameters and the shield tunneling parameter intelligent recommendation module to obtain the current value, set value and recommended value of important tunneling parameters.

[0073] The historical posture deviation backtracking module is used to retrieve the historical posture deviation data of the shield and sort them by ring.

[0074] The historical excavation parameter backtracking module is used to retrieve the shield machine's second-level real-time excavation parameters and historical excavation parameters by loop, and sort them by time.

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

[0076] The data screen is constructed using EChart technology and includes eight visualization interfaces, namely, project overview interface, stratum information display and prediction interface, auxiliary decision interface, stratum over-excavation and under-excavation prediction interface, attitude deviation display and prediction interface, data management interface, surface displacement prediction interface, and soil bin pressure prediction interface.

[0077] Specifically, the engineering overview sub-interface is used to display the current engineering overview, including the working status and 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 survey data, and to update the stratum information of the shield location based on the geological survey data and the prediction results of the face stratum type based on the shield tunneling parameters in real time. The stratum information supports the scaling adjustment of detailed strata; the auxiliary decision interface is used to display the current values, set values ​​and recommended values ​​of important tunneling parameters during the shield tunneling process in real time; the stratum over-excavation and under-excavation prediction interface Used to display the theoretical and predicted excavation volume information of the ring that has completed excavation most recently; the posture deviation display and prediction interface is used to display the historical front and rear shield postures during the shield excavation process and the expected posture changes of subsequent multiple rings; the data management interface is used to allow the user to view the historical changes of multiple excavation parameters during the excavation of a specific ring, and supports the tracing and analysis of various excavation parameter data; the surface displacement prediction interface is used to present the predicted results of surface settlement and the measured values ​​of surface settlement; the soil bin pressure prediction interface is used to present the predicted results of soil bin pressure and the measured values ​​of soil bin pressure.

[0078] Recombination Figure 2 As shown, the present invention also provides an earth pressure balance shield intelligent excavation auxiliary method based on the earth pressure balance shield intelligent excavation auxiliary system, and the method comprises the following steps:

[0079] Step S1, obtaining engineering information, shield posture and real-time excavation parameters;

[0080] Step S2, cleaning, automatically storing and standardizing the data transmitted by the real-time forwarding system for tunneling parameters and the imported engineering data, building a standardized shield construction intelligent computing database, and then calling the computing core function module to perform calculations, outputting the calculation results, and then processing the calculation results through the data display function module before sending them to the data large screen;

[0081] Step S3, receiving the processed calculation results and performing a visual display.

[0082] like Figure 3 As shown, the present invention also provides an electronic device 600, which includes a processor 601, a memory 602, and a program or instruction stored in the memory 602 and executable on the processor 601. When the program or instruction is executed by the processor 601, each process of the above-mentioned 3DGS-based panoramic reconstruction method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

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

[0084] Figure 4 A schematic diagram of the hardware structure of an electronic device provided for implementing the present invention.

[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.

[0086] Those skilled in the art will appreciate that the electronic device 700 may also include a power source (such as a battery) for supplying power to each component, and the power source may be logically connected to the processor 710 through a power management system, thereby implementing functions such as managing charging, discharging, and power consumption management through the power management system. Figure 4 The electronic device structure shown in the figure does not constitute a limitation on the electronic device. The electronic device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently, which will not be described in detail here.

[0087] It should be understood that in the embodiment of the present invention, the input unit 704 may include a graphics processor (Graphics Processing Unit, GPU) 7041 and a microphone 7042, and the graphics processor 7041 processes the image data of the static image or video obtained by the image capture device (such as a camera) in the video capture mode or the image capture mode. The display unit 706 may include a display panel 7061, and the display panel 7061 may 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 may include two parts: a touch detection device and a touch controller. Other input devices 7072 may include but are not limited to a physical keyboard, a function key (such as a volume control button, a switch button, etc.), a trackball, a mouse, and a joystick, which will not be repeated here. The memory 709 can be used to store software programs and various data, including but not limited to applications and operating systems. The processor 710 can integrate an application processor and a modem processor, wherein the application processor mainly processes an operating system, a user interface, and applications, etc., and the modem processor mainly processes wireless communications. It is understandable that the above-mentioned modem processor may not be integrated into the processor 710.

[0088] An embodiment of the present invention also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above method are implemented and the same technical effect can be achieved. To avoid repetition, it will not be repeated 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 read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0090] The present invention further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above method, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

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

[0092] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0093] In addition, it should be noted that the scope of the methods and devices in the embodiments of the present invention is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved. For example, the described methods may be performed in an order different from that described, and various steps may be added, omitted, or combined. In addition, features described with reference to certain examples may be combined in other examples.

[0094] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation modes, which are merely illustrative rather than restrictive. Under the guidance of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the present invention and the claims, all of which are within the protection of the present invention.

Claims

1. An earth pressure balance shield intelligent tunneling auxiliary system, characterized in that: It includes a real-time forwarding system for tunneling parameters, an intelligent calculation background for shield construction, and a large data screen; among which: The tunneling parameter real-time forwarding system is used to obtain engineering information, shield posture and real-time tunneling parameters; The shield construction intelligent computing 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 computing database, and then call the computing core function module to perform calculations, output the calculation results, and then send the calculation results to the data large screen after processing by the data display function module; the core function module specifically includes the face stratum prediction model, the stratum over-excavation prediction model, the advanced posture prediction model, the tunneling parameter optimization model, the surface displacement prediction model and the soil bin pressure prediction model; the data display function module includes the basic engineering information module, the dynamic stratum information module, the real-time tunneling parameter module, the historical posture deviation backtracking module and the historical tunneling parameter backtracking module; The data screen is used to receive the processed calculation results and display them visually.

2. The intelligent tunneling auxiliary system for earth pressure balance shield according to claim 1 is characterized in that: The real-time forwarding system for excavation parameters runs in the ground monitoring room of the shield excavation project. It calls the data interface provided by the shield machine manufacturer to receive engineering information and excavation parameters generated by the operation of the shield machine once per second, and transmits them to the background of the intelligent excavation auxiliary system through the cloud.

3. The intelligent tunneling auxiliary system for earth pressure balance shield according to claim 2 is characterized in that: The engineering information includes the shield position, working status and construction progress.

4. The intelligent tunneling auxiliary system for earth pressure balance shield according to claim 3 is characterized in that: The shield construction intelligent computing background includes an import interface for importing engineering data; The engineering data include geological survey reports, basic engineering information, tunnel design axis, geological data, geological maps, historical excavation parameters, historical excavation posture data, historical vibration sensor data, historical slag data, surface displacement monitoring data, and a shield driving experience rule library.

5. The intelligent tunneling auxiliary system for earth pressure balance shield according to claim 1 is characterized in that: The shield construction intelligent computing background includes an automatic database building module, which is used 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, and automatically store and standardize the cleaned data according to construction specifications, and build a standardized shield construction intelligent computing database to achieve automatic classification and matching.

6. The intelligent tunneling auxiliary system for earth pressure balance shield according to claim 1 is characterized in that: The face stratum prediction model is used to retrieve real-time and historical vibration sensor data and shield tunneling parameters, perform standardized filtering and analysis operations, and construct a table as a model input according to the structure of each ring as a row of the database. Then, the classification model constructed based on the SVM algorithm is called to perform calculations to achieve real-time prediction of the stratum where the shield tunneling face is located. The surface displacement prediction model is used to retrieve real-time and historical shield tunneling parameters, geological and geometric parameters of corresponding positions, construction parameters and distance parameters obtained by analyzing real-time tunneling parameters, and construct a table as a model input in a structure where each ring is a row of a database. Subsequently, a deep learning model file based on the Bi-LSTM algorithm that has been trained in advance and uploaded to the shield construction intelligent computing background is called for calculation to realize real-time prediction of surface displacement caused by shield tunneling. The excavation parameter optimization model is used to obtain the geological information of the unexcavated section in front of the shield machine and match it with the shield driving experience rule library to obtain the corresponding driving experience rules, infer the reasonable range of each excavation parameter, and then use the particle swarm optimization algorithm PSO to finally determine a set of excavation parameter values ​​within the range that make the unexcavated section meet the requirements of minimizing shield excavation construction risks, maximizing construction efficiency, and scientific parameter setting, as recommended parameters, to achieve intelligent recommendation of shield excavation parameters; The stratum over-excavation and under-excavation prediction model is used to retrieve the real-time high-precision belt scale parameters and the theoretical slag discharge weight within the cylinder stroke at the corresponding position that is pre-imported, and to construct a table as a model input according to the structure of each ring as a row of the database. Subsequently, the real-time prediction model file of shield excavation slag discharge volume that has been pre-trained and uploaded to the shield construction intelligent calculation background is called to perform calculations, and the calculations are compared with the theoretical slag discharge volume in real time, so as to finally realize the real-time perception of shield excavation stratum over-excavation and under-excavation; The advanced posture prediction model is used to construct a data set including geological characteristics around the shield and construction operation parameters by retrieving real-time and historical shield excavation parameters, geological maps, geological data and geometric parameters of corresponding positions, and then calculate by calling a deep learning model built based on the CNN-LSTM framework to realize the prediction of the shield posture within a certain period of time in the future; The soil bin pressure prediction model is used to retrieve real-time and historical shield tunneling parameters, geological data and geometric parameters at corresponding positions, and construct a table as a model input with a structure of one row of the database per minute. The deep learning model file based on the convolutional neural network CNN and the gated recurrent unit GRU algorithm, which has been pre-trained and uploaded to the shield construction intelligent computing background, is called to perform calculations to realize real-time prediction of the shield soil bin pressure.

7. The intelligent tunneling auxiliary system for earth pressure balance shield according to claim 6 is characterized in that: The basic engineering information module is used to obtain construction progress information by analyzing the real-time shield tunneling parameters and combining them with the pre-input basic engineering information; The dynamic stratum information module is used to import the geological survey data of the section where the project is located in advance, and the data crawler in the background will automatically calculate to obtain the soil type and soil thickness information on each ring section of the section where the shield is located, and then retrieve the pre-imported tunnel design axis, real-time shield posture and shield excavation parameters, and finally obtain the spatial distribution information of each soil body, the position and elevation information of the shield machine; The real-time excavation parameter module is used to retrieve the calculation results of the shield real-time parameters and the shield excavation parameter intelligent recommendation module to obtain the current value, set value and recommended value of important excavation parameters; The historical posture deviation backtracking module is used to retrieve the historical posture deviation data of the shield machine and sort them by ring; The historical excavation parameter backtracking module is used to retrieve the shield machine's second-level real-time excavation parameters and historical excavation parameters by loop, and sort them by time.

8. The intelligent tunneling auxiliary system for earth pressure balance shield according to claim 1 is characterized in that: The data screen includes eight visualization interfaces, namely, project overview interface, stratum information display and prediction interface, auxiliary decision interface, stratum over-excavation and under-excavation prediction interface, attitude deviation display and prediction interface, data management interface, surface displacement prediction interface and soil bin pressure prediction interface.

9. The intelligent tunneling auxiliary system for earth pressure balance shield according to claim 8 is characterized in that: The engineering overview sub-interface is used to display the current engineering overview, including the working status and 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 geological survey data, and to update in real time the stratum information of the shield location based on geological survey data and the prediction results of the face stratum type based on the shield tunneling parameters. The stratum information supports the scaling adjustment of detailed strata; the auxiliary decision interface is used to display in real time the current values, set values ​​and recommended values ​​of important tunneling parameters during the shield tunneling process; the stratum over-excavation and under-excavation prediction interface is used to Display the theoretical and predicted excavation volume information of the ring that has completed excavation most recently; the posture deviation display and prediction interface is used to display the historical front and rear shield postures during the shield excavation process and the expected posture changes of subsequent multiple rings; the data management interface is used to allow the user to view the historical changes of multiple excavation parameters during the excavation of a specific ring, and supports the tracing and analysis of various excavation parameter data; the surface displacement prediction interface is used to present the predicted results of surface settlement and the measured values ​​of surface settlement; the soil bin pressure prediction interface is used to present the predicted results of soil bin pressure and the measured values ​​of soil bin pressure.

10. An earth pressure balance shield intelligent tunneling assistance method based on the earth pressure balance shield intelligent tunneling assistance system according to any one of claims 1 to 9, characterized in that: The method comprises the following steps: Obtain engineering information, shield posture and real-time excavation parameters; Clean, automatically store and standardize the data transmitted by the real-time forwarding system for tunneling parameters and the imported engineering data, build a standardized intelligent computing database for shield construction, and then call the computing core function module to perform calculations, output the calculation results, and then process the calculation results through the data display function module before sending them to the data large screen; Receive the processed calculation results and display them visually.

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