Near-pipeline anti-heaving shield tunnel construction method

Abstract

The invention relates to the technical field of shield tunnel construction, and discloses a near-pipeline anti-heaving shield tunnel construction method which comprises the following steps: investigating an underground structure by using an advanced non-intrusive detection technology to obtain underground pipeline information, and marking the underground pipeline information as geological conditions; selecting stratum improvement materials and technologies according to geological conditions, and performing experimental improvement on the selected area to obtain an improved stable stratum; a pressure sensor is installed at the front end of the shield tunneling machine, a strainometer and a displacement meter are arranged in a surrounding stratum, soil pressure changes are monitored, an intelligent pressure balance system is developed in combination with a self-adaptive control algorithm, and the pressure in the shield tunneling machine is dynamically adjusted. According to the near-pipeline anti-heaving shield tunnel construction method, by using an advanced non-intrusive detection technology, a three-dimensional seismic reflection method and other methods, the position, the trend and the burial depth of the underground pipeline can be accurately recognized, damage to existing underground facilities in the construction process is avoided, and therefore the construction risk is remarkably reduced.

Description

Technical Field

[0001] The invention relates to the technical field of shield tunnel construction, in particular to a shield tunnel construction method for preventing heave and subsidence near pipelines. Background Art

[0002] The shield machine is a large-scale mechanical equipment that can carry out excavation, support and lining installation while advancing. However, traditional detection methods cannot accurately identify the location, direction and burial depth of underground pipelines, resulting in an increased risk of accidental damage to existing underground facilities during construction. The lack of a systematic basis for the selection of stratum improvement materials and technologies leads to insufficient stability of the improved strata, affecting the safety and efficiency of subsequent construction. In addition, the monitoring network has limited coverage, and the frequency and accuracy of data collection are insufficient, making it difficult to capture subtle changes in a timely manner, affecting the accuracy of risk warnings. Summary of the invention

[0003] The purpose of this section is to solve the problem that traditional detection methods are unable to accurately identify the location, direction and burial depth of underground pipelines during shield machine excavation, resulting in an increased risk of accidental damage to existing underground facilities during construction. There is a lack of systematic basis for the selection of stratum improvement materials and technologies, resulting in insufficient stability of the improved strata, affecting the safety and efficiency of subsequent construction. In addition, the monitoring network has limited coverage, insufficient frequency and accuracy of data collection, making it difficult to capture subtle changes in a timely manner, affecting the accuracy of risk warnings.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] The shield tunnel construction method for preventing heave and subsidence near pipelines includes:

[0006] By using advanced non-intrusive detection technology to investigate underground structures, underground pipeline information is obtained and marked as geological conditions;

[0007] Select stratum improvement materials and technologies according to geological conditions, conduct experimental improvement in selected areas, and obtain improved stable strata;

[0008] Install a pressure sensor at the front end of the shield machine, arrange strain gauges and displacement gauges in the surrounding strata to monitor soil pressure changes, and develop an intelligent pressure balance system in combination with an adaptive control algorithm to dynamically adjust the pressure inside the shield machine;

[0009] By setting up multiple monitoring stations along the tunnel axis, equipped with fiber optic sensors and GPS positioning equipment, forming a monitoring network, establishing a data collection platform, using big data analysis and machine learning to process monitoring data, early warning of abnormal situations, and building a high-precision deformation monitoring network;

[0010] Set excavation parameters based on the information prepared in the early stage, start shield advancement, inject grout to fill the gaps as the shield machine advances, and adjust parameters in a timely manner based on the feedback from the intelligent pressure balance system;

[0011] Continuously monitor various indicators during construction, regularly assess risks and take measures, and organize project documents.

[0012] As a further solution of the present invention: the underground structure is investigated by using advanced non-intrusive detection technology to obtain underground pipeline information, which is marked as geological conditions. The specific steps are:

[0013] Arrange multiple source points and receiving points in the construction area, and collect information at different depths of the underground by transmitting low-frequency sound waves and recording the reflected signals at the receiving points;

[0014] Preprocess, filter, and offset correct the collected raw data to improve image quality;

[0015] The processed 3D seismic data is analyzed to identify the location, direction and buried depth of underground pipelines, and marked on the digital map to form a preliminary geological condition map and obtain geological condition information.

[0016] As a further solution of the present invention: the formation improvement materials and technologies are selected according to geological conditions, and the selected area is experimentally improved to obtain the improved stable formation, and the specific steps are:

[0017] Use underground pipeline distribution maps and geological condition information to determine the type of strata that need to be improved and their physical and mechanical properties;

[0018] Based on the results of geological data analysis, the most suitable improvement materials and improvement technologies are selected, including:

[0019] For highly permeable sandy soil layers, choose cement slurry combined with deep mixing method;

[0020] For low permeability clay formations, chemical curing agents combined with grouting technology are used;

[0021] Select a small representative area in the selected area as the test section, and make preliminary improvements according to the selected materials and technical solutions. During the improvement process, control the injection parameters, including pressure, flow rate and time;

[0022] Through on-site sampling tests and laboratory analysis, the physical and mechanical properties of the improved soil were tested and compared with the data before improvement, and an evaluation formula was introduced, which is expressed as follows:

[0023]

[0024] Among them, PI is a comprehensive performance index used to evaluate the overall effect of formation improvement, E s ′ is the compression modulus of the improved soil, E s is the compression modulus of the soil before improvement, k′ is the permeability coefficient of the soil after improvement, k is the permeability coefficient of the soil before improvement, q′ u is the unconfined compressive strength of the improved soil, q u is the unconfined compressive strength of the soil before improvement;

[0025] The value range is PI>0. When the PI value is large, it means that the improvement effect is significant and the various properties of the soil have been significantly improved. When PI is close to zero or less than zero, it means that the improvement effect is not good and the improvement materials need to be adjusted.

[0026] An improvement effect evaluation report was obtained, confirming that the improved stratum met the expected stability and bearing capacity standards.

[0027] As a further solution of the present invention: a pressure sensor is installed at the front end of the shield machine, strain gauges and displacement gauges are arranged in the surrounding strata, the soil pressure changes are monitored, and an intelligent pressure balance system is developed in combination with an adaptive control algorithm to dynamically adjust the pressure in the shield machine. The specific steps are as follows:

[0028] Install a high-precision pressure sensor at the front end of the shield machine to monitor the soil pressure in front of the shield machine, and arrange FBG strain gauges and laser displacement sensors in the strata around the shield machine to monitor stratum deformation;

[0029] Build a data collection platform to ensure that data from all sensors can be collected synchronously and accurately, and transmitted to the central control system wirelessly. The data collection frequency is optimized according to the construction speed and geological conditions to ensure the real-time and reliability of the data;

[0030] Combined with the results of the previous geological condition analysis, a pressure regulation system based on an adaptive control algorithm was developed;

[0031] The numerical simulation software ABAQUS is used to preview the pressure response under different working conditions to verify the effectiveness of the adaptive control algorithm;

[0032] Carry out debugging and calibration on site to ensure that the pressure regulation in actual operation meets the expected effect;

[0033] Implement a dynamic adjustment strategy to adjust the pressure parameters in the shield machine according to the real-time monitored soil pressure changes and stratum deformation information. The expression is:

[0034] P t =P0+ΔP·f(σ,u);

[0035]

[0036] Among them, P t is the target pressure value, P0 is the initial set pressure value, ΔP is the pressure adjustment amount, f(σ,u) is a comprehensive influence function, α, β, γ, δ are adjustment parameters, σ0 and u0 are the reference stress and displacement respectively, representing the maximum values ​​allowed under normal construction conditions.

[0037] As a further solution of the present invention: by setting up multiple monitoring stations along the tunnel axis, equipped with optical fiber sensors and GPS positioning equipment, forming a monitoring network, establishing a data collection platform, using big data analysis and machine learning to process monitoring data, early warning of abnormal situations, and building a high-precision deformation monitoring network, the specific steps are:

[0038] Several monitoring stations are set up along the tunnel axis and near underground pipelines. Each monitoring station is equipped with a distributed fiber optic strain sensor (DFOS) to monitor the micro deformation of the stratum, and a high-precision GNSS receiver to accurately measure the surface displacement;

[0039] Connect each monitoring station into a complete monitoring network and use the wireless communication technology LoRa to achieve interconnection between monitoring stations;

[0040] Establish a data collection platform to integrate the data streams of all monitoring stations, support the simultaneous collection, storage and preliminary processing of multi-source heterogeneous data, and optimize the data collection frequency according to the construction progress and geological conditions;

[0041] Collect and organize multi-source information of historical construction data, geological exploration data and real-time monitoring data, build a big data pool, apply machine learning algorithm support vector machine SVM training prediction model, identify potential risk patterns and abnormal situations, the expression is:

[0042]

[0043] Among them, f(x) is the final decision function, sign is the sign function, is a weighted sum, α i is the Lagrange multiplier corresponding to the support vector weight of each training sample, y i is the true label of the i-th training sample, x i x is the training sample x i The inner product between and the new sample x.

[0044] As a further solution of the present invention: the early warning system based on time series analysis is developed to predict the deformation trend in the future period of time according to the current data, and the expression is:

[0045]

[0046] in, is the predicted value after h steps in the future, is the previously predicted value, ∈ t+h-1 is the previous residual, c is a constant term, φ p is the autoregressive coefficient, θ q is the moving average coefficient, ∈ t is a white noise sequence, representing random errors.

[0047] As a further solution of the present invention: the tunneling parameters are set according to the information prepared in the early stage, the shield machine is started to advance, grouting is immediately performed to fill the gap as the shield machine advances, and the parameters are adjusted in time according to the feedback of the intelligent pressure balance system. The specific steps are as follows:

[0048] According to the previous geological survey, formation improvement results and the design parameters of the intelligent pressure balance system, the initial excavation speed, cutterhead speed and thrust parameters are determined. The selection of initial parameters takes into account the geological conditions, construction requirements and safety standards;

[0049] Start the shield machine according to the set initial parameters, and monitor the working status and various indicators of the shield machine in real time during the advancement process;

[0050] As the shield machine moves forward, grouting is carried out immediately at the shield tail to fill the gaps created during excavation. The grouting material is selected based on the characteristics of the stratum and the grouting pressure should be appropriately set.

[0051] The real-time data provided by the intelligent pressure balance system is used to evaluate whether the current excavation status is stable. When any abnormal changes are detected, the system automatically issues an alarm and recommends adjusting the excavation parameters.

[0052] As a further solution of the present invention: the continuous monitoring of various indicators during the construction period, regular risk assessment and measures, and collating project documents, the specific steps are:

[0053] Using a high-precision deformation monitoring network and intelligent pressure balance system, key indicators during shield tunnel construction are continuously collected, including surface settlement, pipeline displacement, soil pressure changes, and internal parameters of the shield machine;

[0054] The frequency of data collection should be optimized according to the construction progress and geological conditions;

[0055] The collected data is transmitted to the central server for synchronization, storage and preliminary processing through a unified data collection platform;

[0056] Apply big data analysis technology to conduct in-depth data mining to identify potential risk patterns and anomalies;

[0057] A formula is introduced to quantify the risk index during construction, which is expressed as:

[0058]

[0059] Among them, R t is the risk index at time t, α, β, γ, δ are adjustment coefficients, Δd t is the change in formation displacement measured within the time interval Δt, ΔP soil is the change in earth pressure, P soil,avg is the average soil pressure, is the change in torque, T avg is the average torque, ΔD is the formation deformation, D avg is the average formation deformation;

[0060] According to the calculated risk index R t Set warning thresholds. When the monitoring data exceeds the preset threshold, the alarm mechanism is automatically triggered;

[0061] Warning information is promptly notified to relevant personnel via SMS, email or dedicated APP, the accuracy and effectiveness of the warning system are regularly evaluated, and parameter settings and model performance are continuously optimized based on actual conditions.

[0062] The present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program is executed by the processor, any step of the shield tunnel construction method for preventing heave and subsidence near the pipeline as described in the first aspect of the present invention is implemented.

[0063] The present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the shield tunnel construction method for preventing heave and subsidence near a pipeline as described in the first aspect of the present invention is implemented.

[0064] Compared with the prior art, the present invention has the following beneficial effects:

[0065] By using advanced non-invasive detection technology and three-dimensional seismic reflection method, the location, direction and burial depth of underground pipelines can be accurately identified, avoiding damage to existing underground facilities during construction, thereby significantly reducing construction risks. The intelligent pressure balance system developed in combination with the adaptive control algorithm can dynamically adjust the pressure inside the shield machine, effectively preventing stratum movement and ground subsidence caused by improper pressure, and ensuring the safety and stability of the construction process.

[0066] The most suitable stratum improvement materials and technologies are selected according to the geological conditions, experimental improvements are carried out and evaluation formulas are introduced to quantify the improvement effects, ensuring that the improved strata meet the expected stability and bearing capacity standards, reducing unnecessary rework and delays. The real-time data collection and feedback mechanism of the high-precision deformation monitoring network and intelligent pressure balance system enables the construction team to respond quickly to changes, adjust the excavation parameters in time, and ensure that the construction progress is not affected.

[0067] By carrying out grouting operations immediately as the shield machine moves forward, not only the gaps generated during excavation are filled, but also the stability of the lining structure is enhanced, the disturbance to the surrounding strata is reduced, and the impact on the surrounding environment is reduced. Environmental protection measures are considered in the construction planning stage, and potential risks are identified in advance through continuous monitoring and early warning mechanisms, and preventive measures are taken to maximize the protection of the ecological environment in the construction area and its surroundings.

[0068] By processing monitoring data through big data analysis and machine learning, building prediction models and early warning systems, potential risk patterns and abnormal situations can be identified in advance, providing a scientific basis for construction decisions, and achieving refined management and control. From construction preparation to completion, all important documents and records can be properly preserved and managed, which improves the transparency and traceability of the project and provides valuable experience and reference for subsequent projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 This is a schematic diagram of the process of shield tunnel construction method for preventing heave and subsidence near pipelines. DETAILED DESCRIPTION

[0070] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and understandable, the specific implementation modes of the present invention are described in detail below in conjunction with the accompanying drawings.

[0071] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0072] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0073] Example 1

[0074] See also Figure 1, which is the first embodiment of the present invention, provides a shield tunnel construction method for preventing heave and sinking near pipelines, comprising:

[0075] S1. By using advanced non-intrusive detection technology to investigate underground structures, underground pipeline information is obtained and marked as geological conditions;

[0076] Furthermore, by using advanced non-intrusive detection technology to investigate underground structures, underground pipeline information is obtained and marked as geological conditions. The specific steps are as follows:

[0077] Arrange multiple source points and receiving points in the construction area, and collect information at different depths of the underground by transmitting low-frequency sound waves and recording the reflected signals at the receiving points;

[0078] Use the data processing software OpendTect to pre-process, filter, and offset correct the collected raw data to improve image quality;

[0079] The processed 3D seismic data is analyzed to identify the location, direction and buried depth of underground pipelines, and marked on the digital map to form a preliminary geological condition map and obtain geological condition information.

[0080] It should be noted that low-frequency acoustic wave detection was chosen because of its strong penetration into underground structures, which can effectively obtain information at different depth levels without causing damage to existing underground facilities. Professional software such as OpendTect is used for data processing to improve image quality, ensure the accuracy and completeness of underground pipeline information, and provide reliable data support for subsequent construction.

[0081] S2. Select stratum improvement materials and technologies according to geological conditions, conduct experimental improvement on the selected area, and obtain improved stable strata;

[0082] Furthermore, according to the geological conditions, the ground improvement materials and technologies are selected, and the selected area is experimentally improved to obtain the improved stable ground. The specific steps are as follows:

[0083] Use underground pipeline distribution maps and geological condition information to determine the type of strata that need to be improved and their physical and mechanical properties;

[0084] Based on the results of geological data analysis, the most suitable improvement materials and improvement technologies are selected, including:

[0085] For highly permeable sandy soil layers, choose cement slurry combined with deep mixing method;

[0086] For low permeability clay formations, chemical curing agents combined with grouting technology are used;

[0087] Select a small representative area in the selected area as the test section, and make preliminary improvements according to the selected materials and technical solutions. During the improvement process, control the injection parameters, including pressure, flow rate and time;

[0088] Through on-site sampling tests and laboratory analysis, the physical and mechanical properties of the improved soil were tested and compared with the data before improvement, and an evaluation formula was introduced, which is expressed as follows:

[0089]

[0090] Among them, PI is a comprehensive performance index used to evaluate the overall effect of formation improvement, E s ′ is the compression modulus of the improved soil, E s is the compression modulus of the soil before improvement, k′ is the permeability coefficient of the soil after improvement, k is the permeability coefficient of the soil before improvement, q u ′ is the unconfined compressive strength of the improved soil, q u is the unconfined compressive strength of the soil before improvement;

[0091] The value range is PI>0. When the PI value is large, it means that the improvement effect is significant and the various properties of the soil have been significantly improved. When PI is close to zero or less than zero, it means that the improvement effect is not good and the improvement materials need to be adjusted.

[0092] An improvement effect evaluation report was obtained, confirming that the improved stratum met the expected stability and bearing capacity standards.

[0093] It should be noted that the selection of cement slurry combined with deep mixing method or chemical curing agent combined with grouting technology is based on the best practices under different geological conditions, aiming to achieve the best stratum stabilization effect. By selecting representative small areas for preliminary improvement, the effectiveness of the selected materials and technologies can be verified, and a reference basis can be provided for large-scale improvement. The introduced evaluation formula comprehensively considers the changes in the three key indicators of compression modulus, permeability coefficient and unconfined compressive strength, and can comprehensively reflect the overall effect of stratum improvement.

[0094] S3. Install a pressure sensor at the front end of the shield machine, arrange strain gauges and displacement gauges in the surrounding strata, monitor the change of soil pressure, develop an intelligent pressure balance system in combination with an adaptive control algorithm, and dynamically adjust the pressure inside the shield machine;

[0095] Furthermore, a pressure sensor is installed at the front end of the shield machine, and strain gauges and displacement gauges are arranged in the surrounding strata to monitor the changes in soil pressure. An intelligent pressure balance system is developed in combination with an adaptive control algorithm to dynamically adjust the pressure inside the shield machine. The specific steps are as follows:

[0096] Install a high-precision pressure sensor at the front end of the shield machine to monitor the soil pressure in front of the shield machine, and arrange FBG strain gauges and laser displacement sensors in the strata around the shield machine to monitor stratum deformation;

[0097] Build a data collection platform to ensure that data from all sensors can be collected synchronously and accurately, and transmitted to the central control system wirelessly. The data collection frequency is optimized according to the construction speed and geological conditions to ensure the real-time and reliability of the data;

[0098] Combined with the results of the previous geological condition analysis, a pressure regulation system based on an adaptive control algorithm was developed;

[0099] The numerical simulation software ABAQUS is used to preview the pressure response under different working conditions to verify the effectiveness of the adaptive control algorithm;

[0100] Carry out debugging and calibration on site to ensure that the pressure regulation in actual operation meets the expected effect;

[0101] Implement a dynamic adjustment strategy to adjust the pressure parameters in the shield machine according to the real-time monitored soil pressure changes and stratum deformation information. The expression is:

[0102] P t =P0+ΔP·f(σ,u);

[0103]

[0104] Among them, P t is the target pressure value, P0 is the initial set pressure value, ΔP is the pressure adjustment amount, f(σ,u) is a comprehensive influence function, α, β, γ, δ are adjustment parameters, σ0 and u0 are the reference stress and displacement respectively, representing the maximum values ​​allowed under normal construction conditions.

[0105] It should be noted that installing a high-precision pressure sensor at the front end of the shield machine and arranging FBG strain gauges and laser displacement sensors in the surrounding strata can monitor the changes in soil pressure and stratum deformation in all directions to ensure the comprehensiveness and accuracy of the data. The adaptive control algorithm can automatically adjust the pressure parameters in the shield machine according to the real-time monitoring data. Compared with the traditional fixed parameter setting, it can better adapt to complex geological conditions and ensure the safety and stability of construction. Using ABAQUS to preview the pressure response under different working conditions can detect potential problems and optimize the control strategy before actual construction to reduce unnecessary risks.

[0106] S4. By setting up multiple monitoring stations along the tunnel axis, equipped with fiber optic sensors and GPS positioning equipment, forming a monitoring network, establishing a data collection platform, using big data analysis and machine learning to process monitoring data, early warning of abnormal situations, and building a high-precision deformation monitoring network;

[0107] Furthermore, by setting up multiple monitoring stations along the tunnel axis, equipped with fiber optic sensors and GPS positioning equipment, forming a monitoring network, establishing a data collection platform, using big data analysis and machine learning to process monitoring data, early warning of abnormal situations, and building a high-precision deformation monitoring network, the specific steps are as follows:

[0108] Several monitoring stations are set up along the tunnel axis and near underground pipelines. Each monitoring station is equipped with a distributed fiber optic strain sensor (DFOS) to monitor the micro deformation of the stratum, and a high-precision GNSS receiver to accurately measure the surface displacement;

[0109] Connect each monitoring station into a complete monitoring network and use the wireless communication technology LoRa to achieve interconnection between monitoring stations;

[0110] Establish a data collection platform to integrate the data streams of all monitoring stations, support the simultaneous collection, storage and preliminary processing of multi-source heterogeneous data, and optimize the data collection frequency according to the construction progress and geological conditions;

[0111] Collect and organize multi-source information of historical construction data, geological exploration data and real-time monitoring data, build a big data pool, apply machine learning algorithm support vector machine SVM training prediction model, identify potential risk patterns and abnormal situations, the expression is:

[0112]

[0113] Among them, f(x) is the final decision function, sign is the sign function, is a weighted sum, a i is the Lagrange multiplier corresponding to the support vector weight of each training sample, y i is the true label of the i-th training sample, x i x is the training sample x i The inner product between and the new sample x;

[0114] Develop an early warning system based on time series analysis to predict the deformation trend in the future based on current data. The expression is:

[0115]

[0116] in, is the predicted value after h steps in the future, is the previously predicted value, ∈ t+h-1 is the previous residual, c is a constant term, φ p is the autoregressive coefficient, θ q is the moving average coefficient, ∈ t is a white noise sequence, representing random errors.

[0117] It should be noted that multiple monitoring stations are set up along the tunnel axis and near underground pipelines to ensure coverage of the entire construction area, especially key locations, so as to capture any abnormal changes in a timely manner. Wireless communication technologies such as LoRa are used to achieve interconnection between monitoring stations, which not only improves the efficiency of data transmission, but also enhances the flexibility and scalability of the system. By building a big data pool and applying machine learning algorithms to train predictive models, potential risk patterns and abnormal situations can be identified in advance, providing a scientific basis for construction decisions.

[0118] S5. Set the excavation parameters according to the information prepared in the early stage, start the shield machine to advance, inject grout to fill the gaps as the shield machine advances, and adjust the parameters in time according to the feedback from the intelligent pressure balance system;

[0119] Furthermore, the excavation parameters are set according to the information prepared in the early stage, the shield machine is advanced, and the gaps are filled with grouting as the shield machine advances. The parameters are adjusted in time according to the feedback from the intelligent pressure balance system. The specific steps are as follows:

[0120] According to the previous geological survey, formation improvement results and the design parameters of the intelligent pressure balance system, the initial excavation speed, cutterhead speed and thrust parameters are determined. The selection of initial parameters takes into account the geological conditions, construction requirements and safety standards;

[0121] Start the shield machine according to the set initial parameters, and monitor the working status and various indicators of the shield machine in real time during the advancement process;

[0122] As the shield machine moves forward, grouting is carried out immediately at the shield tail to fill the gaps created during excavation. The grouting material is selected based on the characteristics of the stratum and the grouting pressure should be appropriately set.

[0123] The real-time data provided by the intelligent pressure balance system is used to evaluate whether the current excavation status is stable. When any abnormal changes are detected, the system automatically issues an alarm and recommends adjusting the excavation parameters.

[0124] It should be noted that when determining the initial excavation speed, cutter head speed and thrust parameters, the geological conditions, construction requirements and safety standards need to be comprehensively considered to ensure the smooth progress of the construction process. Grouting operations are carried out immediately as the shield machine moves forward, which can not only fill the gaps generated during the excavation process, but also enhance the stability of the lining structure and prevent ground subsidence. The real-time data provided by the intelligent pressure balance system is used to evaluate whether the current excavation status is stable. When any abnormal changes are monitored, the system automatically issues an alarm and recommends adjusting the excavation parameters to ensure construction safety.

[0125] S6. Continuously monitor various indicators during construction, regularly assess risks and take measures, and organize project documents;

[0126] Furthermore, we continuously monitor various indicators during construction, regularly assess risks and take measures, and organize project documents. The specific steps are as follows:

[0127] Using a high-precision deformation monitoring network and intelligent pressure balance system, key indicators during shield tunnel construction are continuously collected, including surface settlement, pipeline displacement, soil pressure changes, and internal parameters of the shield machine;

[0128] The frequency of data collection should be optimized according to the construction progress and geological conditions;

[0129] The collected data is transmitted to the central server for synchronization, storage and preliminary processing through a unified data collection platform;

[0130] Apply big data analysis technology to conduct in-depth data mining to identify potential risk patterns and anomalies;

[0131] A formula is introduced to quantify the risk index during construction, which is expressed as:

[0132]

[0133] Among them, R t is the risk index at time t, α, β, γ, δ are adjustment coefficients, Δd t is the change in formation displacement measured within the time interval Δt, ΔP soil is the change in earth pressure, P soil,avg is the average soil pressure, is the change in torque, T avg is the average torque, ΔD is the formation deformation, D avg is the average formation deformation;

[0134] According to the calculated risk index R t Set warning thresholds. When the monitoring data exceeds the preset threshold, the alarm mechanism is automatically triggered;

[0135] Warning information is promptly notified to relevant personnel via SMS, email or dedicated APP, the accuracy and effectiveness of the warning system are regularly evaluated, and parameter settings and model performance are continuously optimized based on actual conditions.

[0136] It should be noted that continuous collection of key indicators during construction, regular risk assessment and measures can promptly respond to various risks that may arise during the construction process, ensure the safety and progress of the project, and set early warning thresholds based on the calculated risk index. When the monitoring data exceeds the preset threshold, the alarm mechanism is automatically triggered to ensure that any abnormal situation can be quickly identified and handled. All operation and adjustment information is organized to form a complete construction log, which not only provides a solid foundation for the smooth implementation of the project, but also provides valuable experience and reference for subsequent similar projects.

[0137] This embodiment also provides a computer device, which is suitable for the case of a shield tunnel construction method for preventing heave and subsidence near pipelines, including: a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the shield tunnel construction method for preventing heave and subsidence near pipelines as proposed in the above embodiment.

[0138] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0139] The present embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the shield tunnel construction method for preventing heave and subsidence near the pipeline as proposed in the above embodiment is implemented; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory

[0140] (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, disk or CD.

[0141] In summary, by using advanced non-invasive detection technology and three-dimensional seismic reflection method, the location, direction and burial depth of underground pipelines can be accurately identified, and damage to existing underground facilities during construction can be avoided, thereby significantly reducing construction risks. The intelligent pressure balance system developed in combination with the adaptive control algorithm can dynamically adjust the pressure in the shield machine, effectively preventing stratum movement and ground subsidence caused by improper pressure, ensuring the safety and stability of the construction process, selecting the most suitable stratum improvement materials and technologies according to geological conditions, conducting experimental improvements and introducing evaluation formulas to quantify the improvement effects, ensuring that the improved strata meet the expected stability and bearing capacity standards, reducing unnecessary rework and delays, and the real-time data collection and feedback mechanism of the high-precision deformation monitoring network and the intelligent pressure balance system enable the construction team to respond quickly to changes and adjust the excavation parameters in a timely manner. numbers to ensure that the construction progress is not affected. By performing grouting operations immediately as the shield machine moves forward, not only the gaps generated during excavation are filled, but also the stability of the lining structure is enhanced, the disturbance to the surrounding strata is reduced, and the impact on the surrounding environment is reduced. Environmental protection measures are considered in the construction planning stage, and potential risks are identified in advance through continuous monitoring and early warning mechanisms. Preventive measures are taken to maximize the protection of the ecological environment in the construction area and its surroundings. Monitoring data is processed through big data analysis and machine learning, and prediction models and early warning systems are built to identify potential risk patterns and abnormal situations in advance, providing a scientific basis for construction decisions and achieving refined management and control. From construction preparation to completion, all important documents and records can be properly preserved and managed, which improves the transparency and traceability of the project and provides valuable experience and reference for subsequent projects.

[0142] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A shield tunnel construction method for preventing heave and subsidence near pipelines, characterized by: include: By using advanced non-intrusive detection technology to investigate underground structures, underground pipeline information is obtained and marked as geological conditions; Select stratum improvement materials and technologies according to geological conditions, conduct experimental improvement in selected areas, and obtain improved stable strata; Install a pressure sensor at the front end of the shield machine, arrange strain gauges and displacement gauges in the surrounding strata to monitor soil pressure changes, and develop an intelligent pressure balance system in combination with an adaptive control algorithm to dynamically adjust the pressure inside the shield machine; By setting up multiple monitoring stations along the tunnel axis, equipped with fiber optic sensors and GPS positioning equipment, forming a monitoring network, establishing a data collection platform, using big data analysis and machine learning to process monitoring data, early warning of abnormal situations, and building a high-precision deformation monitoring network; Set excavation parameters based on the information prepared in the early stage, start shield advancement, inject grout to fill the gaps as the shield machine advances, and adjust parameters in a timely manner based on the feedback from the intelligent pressure balance system; Continuously monitor various indicators during construction, regularly assess risks and take measures, and organize project documents.

2. The shield tunnel construction method for preventing heave and subsidence near pipelines according to claim 1 is characterized in that: The underground structure is investigated by using advanced non-intrusive detection technology to obtain underground pipeline information and mark it as geological conditions. The specific steps are: Arrange multiple source points and receiving points in the construction area, and collect information at different depths of the underground by transmitting low-frequency sound waves and recording the reflected signals at the receiving points; Preprocess, filter, and offset correct the collected raw data to improve image quality; The processed 3D seismic data is analyzed to identify the location, direction and buried depth of underground pipelines, and marked on the digital map to form a preliminary geological condition map and obtain geological condition information.

3. The shield tunnel construction method for preventing heave and subsidence near pipelines according to claim 1 is characterized in that: The above-mentioned steps of selecting stratum improvement materials and technologies according to geological conditions, conducting experimental improvement on the selected area, and obtaining improved stable strata are as follows: Use underground pipeline distribution maps and geological condition information to determine the type of strata that need to be improved and their physical and mechanical properties; Based on the results of geological data analysis, the most suitable improvement materials and improvement technologies are selected, including: For highly permeable sandy soil layers, choose cement slurry combined with deep mixing method; For low permeability clay formations, chemical curing agents combined with grouting technology are used; Select a small representative area in the selected area as the test section, and make preliminary improvements according to the selected materials and technical solutions. During the improvement process, control the injection parameters, including pressure, flow rate and time; Through on-site sampling tests and laboratory analysis, the physical and mechanical properties of the improved soil were tested and compared with the data before improvement, and an evaluation formula was introduced, which is expressed as follows: Among them, PI is a comprehensive performance index used to evaluate the overall effect of formation improvement, E s ′ is the compression modulus of the improved soil, E s is the compression modulus of the soil before improvement, k′ is the permeability coefficient of the soil after improvement, k is the permeability coefficient of the soil before improvement, q′ u is the unconfined compressive strength of the improved soil, q u is the unconfined compressive strength of the soil before improvement; The value range is PI>0. When the PI value is large, it means that the improvement effect is significant and the various properties of the soil have been significantly improved. When PI is close to zero or less than zero, it means that the improvement effect is not good and the improvement materials need to be adjusted. An improvement effect evaluation report was obtained, confirming that the improved stratum met the expected stability and bearing capacity standards.

4. The shield tunnel construction method for preventing heave and subsidence near pipelines according to claim 1 is characterized in that: The pressure sensor is installed at the front end of the shield machine, strain gauges and displacement gauges are arranged in the surrounding strata, the soil pressure changes are monitored, and an intelligent pressure balance system is developed in combination with an adaptive control algorithm to dynamically adjust the pressure in the shield machine. The specific steps are as follows: Install a high-precision pressure sensor at the front end of the shield machine to monitor the soil pressure in front of the shield machine, and arrange FBG strain gauges and laser displacement sensors in the strata around the shield machine to monitor stratum deformation; Build a data collection platform to ensure that data from all sensors can be collected synchronously and accurately, and transmitted to the central control system wirelessly. The data collection frequency is optimized according to the construction speed and geological conditions to ensure the real-time and reliability of the data; Combined with the results of the previous geological condition analysis, a pressure regulation system based on an adaptive control algorithm was developed; The numerical simulation software ABAQUS is used to preview the pressure response under different working conditions to verify the effectiveness of the adaptive control algorithm; Carry out debugging and calibration on site to ensure that the pressure regulation in actual operation meets the expected effect; Implement a dynamic adjustment strategy to adjust the pressure parameters in the shield machine according to the real-time monitored soil pressure changes and stratum deformation information. The expression is: P t =P0+ΔP·f(σ,u); Among them, P t is the target pressure value, P0 is the initial set pressure value, ΔP is the pressure adjustment amount, f(σ,u) is a comprehensive influence function, α, β, γ, δ are adjustment parameters, σ0 and u0 are the reference stress and displacement respectively, representing the maximum values ​​allowed under normal construction conditions.

5. The shield tunnel construction method for preventing heave and subsidence near pipelines according to claim 1 is characterized in that: The above-mentioned method is to set up multiple monitoring stations along the tunnel axis, equip them with optical fiber sensors and GPS positioning equipment, form a monitoring network, establish a data collection platform, use big data analysis and machine learning to process monitoring data, warn of abnormal situations in advance, and build a high-precision deformation monitoring network. The specific steps are as follows: Several monitoring stations are set up along the tunnel axis and near underground pipelines. Each monitoring station is equipped with a distributed fiber optic strain sensor (DFOS) to monitor the micro deformation of the stratum, and a high-precision GNSS receiver to accurately measure the surface displacement; Connect each monitoring station into a complete monitoring network and use the wireless communication technology LoRa to achieve interconnection between monitoring stations; Establish a data collection platform to integrate the data streams of all monitoring stations, support the simultaneous collection, storage and preliminary processing of multi-source heterogeneous data, and optimize the data collection frequency according to the construction progress and geological conditions; Collect and organize multi-source information of historical construction data, geological exploration data and real-time monitoring data, build a big data pool, apply machine learning algorithm support vector machine SVM training prediction model, identify potential risk patterns and abnormal situations, the expression is: Among them, f(x) is the final decision function, sign is the sign function, is a weighted sum, α i is the Lagrange multiplier corresponding to the support vector weight of each training sample, y i is the true label of the i-th training sample, x i x is the training sample x i The inner product between and the new sample x; Develop an early warning system based on time series analysis to predict deformation trends in the future based on current data.

6. The shield tunnel construction method for preventing heave and subsidence near pipelines according to claim 1 is characterized in that: The early warning system developed based on time series analysis predicts the deformation trend in the future based on current data. The expression is: in, is the predicted value after h steps in the future, is the previously predicted value, ∈ t+h-1 is the previous residual, c is a constant term, φ p is the autoregressive coefficient, θ q is the moving average coefficient, ∈ t is a white noise sequence, representing random errors.

7. The shield tunnel construction method for preventing heave and subsidence near pipelines according to claim 1 is characterized in that: The excavation parameters are set according to the information prepared in the early stage, the shield machine is started to advance, grouting is immediately injected to fill the gap as the shield machine advances, and the parameters are adjusted in time according to the feedback of the intelligent pressure balance system. The specific steps are as follows: According to the previous geological survey, formation improvement results and the design parameters of the intelligent pressure balance system, the initial excavation speed, cutterhead speed and thrust parameters are determined. The selection of initial parameters takes into account the geological conditions, construction requirements and safety standards; Start the shield machine according to the set initial parameters, and monitor the working status and various indicators of the shield machine in real time during the advancement process; As the shield machine moves forward, grouting is carried out immediately at the shield tail to fill the gaps created during excavation. The grouting material is selected based on the characteristics of the stratum and the grouting pressure should be appropriately set. The real-time data provided by the intelligent pressure balance system is used to evaluate whether the current excavation status is stable. When any abnormal changes are detected, the system automatically issues an alarm and recommends adjusting the excavation parameters.

8. The shield tunnel construction method for preventing heave and subsidence near pipelines according to claim 1 is characterized in that: The above-mentioned continuous monitoring of various indicators during the construction period, regular risk assessment and measures, and organization of project documents are as follows: Using a high-precision deformation monitoring network and intelligent pressure balance system, key indicators during shield tunnel construction are continuously collected, including surface settlement, pipeline displacement, soil pressure changes, and shield machine internal parameters; The frequency of data collection should be optimized according to the construction progress and geological conditions; The collected data is transmitted to the central server for synchronization, storage and preliminary processing through a unified data collection platform; Apply big data analysis technology to conduct in-depth data mining to identify potential risk patterns and anomalies; A formula is introduced to quantify the risk index during construction, which is expressed as: Among them, R t is the risk index at time t, α, β, γ, δ are adjustment coefficients, Δd t is the change in formation displacement measured within the time interval Δt, ΔP soil is the change in earth pressure, P soil,avg is the average soil pressure, is the change in torque, T avg is the average torque, ΔD is the formation deformation, D avg is the average formation deformation; According to the calculated risk index R t Set warning thresholds. When the monitoring data exceeds the preset threshold, the alarm mechanism is automatically triggered; Warning information is promptly notified to relevant personnel via SMS, email or dedicated APP, the accuracy and effectiveness of the warning system are regularly evaluated, and parameter settings and model performance are continuously optimized based on actual conditions.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the shield tunnel construction method for preventing heave and subsidence near pipelines as described in any one of claims 1 to 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the shield tunnel construction method for preventing heave and subsidence near pipelines as described in any one of claims 1 to 8 are implemented.

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