Shield tunnel proximity construction risk dynamic evaluation method and system

Abstract

The invention discloses a shield tunnel proximity construction risk dynamic evaluation method and system, and the method comprises the steps: obtaining a potential risk source of a target shield tunnel interval, and constructing a finite element model containing the target shield tunnel interval and the potential risk source; forming a sample curve; when the target shield tunnel section is constructed, monitoring equipment is arranged at the corresponding position of the monitoring point position; acquiring an actually measured displacement curve; and evaluating the current proximity construction risk according to the sample curve and the actually measured displacement curve. According to the method, the risk can be found and remedial measures can be taken when the potential risk source just starts to generate the risk, the safety of shield tunnel proximity construction is effectively improved, meanwhile, through the dynamic monitoring and evaluation mode, dynamic risk monitoring and evaluation of different risk sources can be achieved, the implementation process is convenient, and the implementation efficiency is high. The method is very suitable for construction engineering monitoring.

Description

Technical Field

[0001] The invention relates to intelligent data processing technology, and in particular to a method and system for dynamically evaluating the risk of proximity construction of a shield tunnel. Background Art

[0002] In order to facilitate the technical management of safety risks, risk projects are divided into inherent risk projects and environmental risk projects. Inherent risk projects refer to projects that are difficult to implement and have high safety risks due to the characteristics of the project itself and the complexity of geological conditions. Environmental risk projects refer to projects that may affect their normal use functions or structural safety due to the complex environmental conditions surrounding the project. The surrounding environment mainly refers to existing rail transit projects (including railways), buildings (structures), pipelines, roads, water bodies, etc. In the existing technology, the risk monitoring of shield tunnel proximity construction mainly adopts the method of displacement monitoring after the corresponding reinforcement measures are taken for the risk source; however, for some high-altitude risk sources, such as high-voltage towers, they may overturn during settlement or uplift, and the overturning process will develop relatively quickly. There are many risks in relying solely on the on-site monitoring data to make judgments that exceed the limit. Summary of the invention

[0003] In order to at least overcome the above-mentioned deficiencies in the prior art, the purpose of the present application is to provide a method and system for dynamically evaluating the risks of proximity construction of a shield tunnel.

[0004] In a first aspect, an embodiment of the present application provides a method for dynamically evaluating the risk of proximity construction of a shield tunnel, comprising: Acquire potential risk sources of a target shield tunnel section, and construct a finite element model including the target shield tunnel section and the potential risk sources; Simulating excavation on the finite element model to obtain displacement curves of multiple monitoring points on the potential risk source, and marking construction nodes on the displacement curve to form a sample curve; When the target shield tunnel section is under construction, monitoring equipment is arranged at a position corresponding to the monitoring point; Obtaining the displacement curve monitored by the monitoring device and marking the construction nodes to form a measured displacement curve; The current proximity construction risk is evaluated based on the sample curve and the measured displacement curve.

[0005] When implementing the embodiments of the present application, it is necessary to obtain the potential risk sources of the corresponding intervals. It should be understood that the target shield tunnel interval can be various intervals such as shield interval tunnels, open-cut stations, shield shafts, etc. The potential risk sources can be determined based on the preliminary survey results. When constructing a finite element model, for potential risk sources, it is necessary to pre-evaluate the potential risk sources. If the potential risk sources do not require corresponding reinforcement and protection measures, they can be directly modeled in the finite element model; if corresponding reinforcement and protection measures are required, the reinforcement and protection measures need to be modeled in the finite element model. This modeling method can ensure that the displacement data calculated in the finite element model is the expected safe displacement data.

[0006] In the embodiment of the present application, different construction nodes need to be simulated during the simulated excavation process; for shield tunnel sections, the construction nodes can be divided according to the distance from the potential risk source to which the shield machine has excavated; for stations, the construction nodes can be the excavation depth and the corresponding support construction time point. The layout of multiple monitoring points on the potential risk source can be carried out as needed, please refer to Figure 2 , shows a layout scheme for monitoring points of a high-voltage tower base, with 9 basic layout points, of which four points are respectively arranged at the four vertices of the high-voltage tower base, one point is arranged at the center point of the high-voltage tower base, and four points are respectively arranged at the midpoints of the four sides of the high-voltage tower base; in the process of simulated excavation, the displacement curves of these monitoring points along the time series can be obtained, and the construction nodes can be marked on the displacement curve to form a sample curve; it should be understood that each monitoring point will form a sample curve.

[0007] In the embodiments of the present application, during actual construction, it is necessary to deploy monitoring equipment at the same position as the monitoring point and collect corresponding displacement data to form a measured displacement curve; under normal construction conditions, the development process of the measured displacement curve and the sample curve should be consistent, and if there is an inconsistency, it means that the potential risk source has begun to generate construction risks. At this time, the corresponding reinforcement and protection measures can be applied to the potential risk source in a timely manner to ensure construction safety. Through the above-mentioned technical means, the present application can discover risks and take remedial measures when the potential risk source just begins to generate risks, effectively improving the safety of shield tunnel close construction. At the same time, through this dynamic monitoring and evaluation method, dynamic risk monitoring and evaluation of different risk sources can be realized, and the implementation process is convenient, which is very suitable for construction project monitoring.

[0008] In a possible implementation, evaluating the current proximity construction risk according to the sample curve and the measured displacement curve includes: Acquire a curve with the largest displacement among the sample curves as a first reference curve, and calculate correlation coefficients between the other sample curves and the first reference curve at the construction node as reference correlation coefficients; The measured displacement curve at the monitoring device corresponding to the reference curve is used as a second reference curve, and the correlation coefficient between the other measured displacement curves and the second reference curve at the construction node is calculated as a measured correlation coefficient; The current proximity construction risk is evaluated based on the difference between the measured correlation coefficient and the benchmark correlation coefficient.

[0009] In a possible implementation, the calculation of the correlation coefficient includes: Two curves for which correlation coefficients need to be calculated are obtained as a first curve and a second curve, and a construction node for which correlation coefficients need to be calculated is obtained as a current construction node; Obtaining a curve between a current construction node and a previous construction node in the first curve as a first candidate curve, and obtaining a curve between a current construction node and a previous construction node in the second curve as a second candidate curve; A correlation coefficient between the first candidate curve and the second candidate curve is calculated as a correlation coefficient between the first curve and the second curve at the current construction node.

[0010] In a possible implementation manner, calculating the correlation coefficient between the first candidate curve and the second candidate curve includes: The correlation coefficient is calculated according to the following formula: In the formula, r is the correlation coefficient, is the value of the i-th point of the first alternative curve, is the value of the i-th point of the second alternative curve, is the average value of the first alternative curve, is the average value of the second alternative curve.

[0011] In a possible implementation, evaluating the current proximity construction risk according to the difference between the measured correlation coefficient and the benchmark correlation coefficient includes: Calculating the difference between the measured correlation coefficient and the corresponding reference correlation coefficient as the measured ratio; When the proportion of the number of abnormal measured ratios to the total number of measured ratios is greater than a first preset value, it is determined that the current potential risk source has a capsizing risk; the abnormal measured ratio means that the measured ratio is greater than a second preset value.

[0012] In a second aspect, the embodiment of the present application further provides a shield tunnel proximity construction risk dynamic assessment system, including: An acquisition unit is configured to acquire a potential risk source of a target shield tunnel section and construct a finite element model including the target shield tunnel section and the potential risk source; A sample unit is configured to simulate excavation of the finite element model to obtain displacement curves of multiple monitoring points on the potential risk source, and mark construction nodes on the displacement curve to form a sample curve; A monitoring unit is configured to set a monitoring device at a position corresponding to the monitoring point when the target shield tunnel section is under construction; A marking unit, configured to obtain the displacement curve monitored by the monitoring device and mark the construction nodes to form a measured displacement curve; An evaluation unit is configured to evaluate the current proximity construction risk based on the sample curve and the measured displacement curve.

[0013] In a possible implementation, the evaluation unit is further configured to: Acquire a curve with the largest displacement among the sample curves as a first reference curve, and calculate correlation coefficients between the other sample curves and the first reference curve at the construction node as reference correlation coefficients; The measured displacement curve at the monitoring device corresponding to the reference curve is used as a second reference curve, and the correlation coefficient between the other measured displacement curves and the second reference curve at the construction node is calculated as a measured correlation coefficient; The current proximity construction risk is evaluated based on the difference between the measured correlation coefficient and the benchmark correlation coefficient.

[0014] In a possible implementation, the calculation of the correlation coefficient includes: Two curves for which correlation coefficients need to be calculated are obtained as a first curve and a second curve, and a construction node for which correlation coefficients need to be calculated is obtained as a current construction node; Obtaining a curve between a current construction node and a previous construction node in the first curve as a first candidate curve, and obtaining a curve between a current construction node and a previous construction node in the second curve as a second candidate curve; A correlation coefficient between the first candidate curve and the second candidate curve is calculated as a correlation coefficient between the first curve and the second curve at the current construction node.

[0015] In a possible implementation manner, calculating the correlation coefficient between the first candidate curve and the second candidate curve includes: The correlation coefficient is calculated according to the following formula: In the formula, r is the correlation coefficient, is the value of the i-th point of the first alternative curve, is the value of the i-th point of the second alternative curve, is the average value of the first alternative curve, is the average value of the second alternative curve.

[0016] In a possible implementation, the evaluation unit is further configured to: Calculating the difference between the measured correlation coefficient and the corresponding reference correlation coefficient as the measured ratio; When the proportion of the number of abnormal measured ratios to the total number of measured ratios is greater than a first preset value, it is determined that the current potential risk source has a capsizing risk; the abnormal measured ratio means that the measured ratio is greater than a second preset value.

[0017] Compared with the prior art, the present invention has the following advantages and beneficial effects: The present invention provides a method and system for dynamically evaluating the risks of close-in construction of a shield tunnel. Through the above-mentioned technical means, risks can be discovered and remedial measures can be taken when potential risk sources just begin to generate risks, thereby effectively improving the safety of close-in construction of the shield tunnel. At the same time, through this dynamic monitoring and evaluation method, dynamic risk monitoring and evaluation of different risk sources can be realized, and the implementation process is convenient, which is very suitable for construction project monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings: Figure 1 This is a schematic diagram of the steps of the method of the embodiment of the present application; Figure 2 This is a schematic diagram of monitoring points in an embodiment of the present application. DETAILED DESCRIPTION

[0019] To make the purpose, technical scheme and advantages of the embodiment of the present application clearer, the technical scheme in the embodiment of the present application will be clearly and completely described below in conjunction with the drawings in the embodiment of the present application. It should be understood that the drawings in the present application only serve the purpose of explanation and description and are not used to limit the scope of protection of the present application. In addition, it should be understood that the schematic drawings are not drawn in real proportion. The flowchart used in this application shows the operations implemented according to some embodiments of the embodiment of the present application. It should be understood that the operations of the flowchart can be implemented out of order, and the steps without logical context can be reversed in order or implemented simultaneously. In addition, those skilled in the art can add one or more other operations to the flowchart under the guidance of the content of the present application, or remove one or more operations from the flowchart.

[0020] In addition, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0021] Please refer to Figure 1 , which is a flow chart of a method for dynamically evaluating the risks of close-proximity construction of a shield tunnel provided in an embodiment of the present invention. Furthermore, the method for dynamically evaluating the risks of close-proximity construction of a shield tunnel may specifically include the contents described in the following steps S1 to S5.

[0022] S1: obtaining a potential risk source of a target shield tunnel section, and constructing a finite element model including the target shield tunnel section and the potential risk source; S2: Simulate excavation on the finite element model to obtain displacement curves of multiple monitoring points on the potential risk source, and mark construction nodes on the displacement curve to form a sample curve; S3: When the target shield tunnel section is under construction, monitoring equipment is set at a position corresponding to the monitoring point; S4: obtaining the displacement curve monitored by the monitoring device and marking the construction nodes to form a measured displacement curve; S5: Evaluate the current proximity construction risk according to the sample curve and the measured displacement curve.

[0023] When implementing the embodiments of the present application, it is necessary to obtain the potential risk sources of the corresponding intervals. It should be understood that the target shield tunnel interval can be various intervals such as shield interval tunnels, open-cut stations, shield shafts, etc. The potential risk sources can be determined based on the preliminary survey results. When constructing a finite element model, for potential risk sources, it is necessary to pre-evaluate the potential risk sources. If the potential risk sources do not require corresponding reinforcement and protection measures, they can be directly modeled in the finite element model; if corresponding reinforcement and protection measures are required, the reinforcement and protection measures need to be modeled in the finite element model. This modeling method can ensure that the displacement data calculated in the finite element model is the expected safe displacement data.

[0024] In the embodiment of the present application, different construction nodes need to be simulated during the simulated excavation process; for shield tunnel sections, the construction nodes can be divided according to the distance from the potential risk source to which the shield machine has excavated; for stations, the construction nodes can be the excavation depth and the corresponding support construction time point. The layout of multiple monitoring points on the potential risk source can be carried out as needed, please refer to Figure 2 , shows a layout scheme for monitoring points of a high-voltage tower base, with 9 basic layout points, of which four points are respectively arranged at the four vertices of the high-voltage tower base, one point is arranged at the center point of the high-voltage tower base, and four points are respectively arranged at the midpoints of the four sides of the high-voltage tower base; in the process of simulated excavation, the displacement curves of these monitoring points along the time series can be obtained, and the construction nodes can be marked on the displacement curve to form a sample curve; it should be understood that each monitoring point will form a sample curve.

[0025] In the embodiments of the present application, during actual construction, it is necessary to deploy monitoring equipment at the same position as the monitoring point and collect corresponding displacement data to form a measured displacement curve; under normal construction conditions, the development process of the measured displacement curve and the sample curve should be consistent, and if there is an inconsistency, it means that the potential risk source has begun to generate construction risks. At this time, the corresponding reinforcement and protection measures can be applied to the potential risk source in a timely manner to ensure construction safety. Through the above-mentioned technical means, the present application can discover risks and take remedial measures when the potential risk source just begins to generate risks, effectively improving the safety of shield tunnel close construction. At the same time, through this dynamic monitoring and evaluation method, dynamic risk monitoring and evaluation of different risk sources can be realized, and the implementation process is convenient, which is very suitable for construction project monitoring.

[0026] In a possible implementation, evaluating the current proximity construction risk according to the sample curve and the measured displacement curve includes: Acquire a curve with the largest displacement among the sample curves as a first reference curve, and calculate correlation coefficients between the other sample curves and the first reference curve at the construction node as reference correlation coefficients; The measured displacement curve at the monitoring device corresponding to the reference curve is used as a second reference curve, and the correlation coefficient between the other measured displacement curves and the second reference curve at the construction node is calculated as a measured correlation coefficient; The current proximity construction risk is evaluated based on the difference between the measured correlation coefficient and the benchmark correlation coefficient.

[0027] When implementing the embodiment of the present application, in order to facilitate the analysis of the correlation between different sample curves, it is necessary to select a first reference curve and a corresponding second reference curve, wherein the first reference curve is the curve of the point corresponding to the maximum displacement in the finite element simulation analysis. Generally speaking, it should be the point closest to the construction position, which may be a settlement displacement or an uplift displacement. The reference correlation coefficient characterizes the displacement changes of different monitoring points compared to the first reference curve in the construction simulation analysis; similarly, the measured correlation coefficient also characterizes the displacement changes of different monitoring points compared to the second reference curve in the actual construction. Through the relationship between these two correlation coefficients, it is possible to analyze whether the displacement of the current potential risk source is the displacement under normal conditions. If there is an abnormal displacement, it means that the displacement of at least one point has deviated, that is, there is a construction risk, and corresponding reinforcement and protection measures need to be taken.

[0028] In a possible implementation, the calculation of the correlation coefficient includes: Two curves for which correlation coefficients need to be calculated are obtained as a first curve and a second curve, and a construction node for which correlation coefficients need to be calculated is obtained as a current construction node; Obtaining a curve between a current construction node and a previous construction node in the first curve as a first candidate curve, and obtaining a curve between a current construction node and a previous construction node in the second curve as a second candidate curve; A correlation coefficient between the first candidate curve and the second candidate curve is calculated as a correlation coefficient between the first curve and the second curve at the current construction node.

[0029] In a possible implementation manner, calculating the correlation coefficient between the first candidate curve and the second candidate curve includes: The correlation coefficient is calculated according to the following formula: In the formula, r is the correlation coefficient, is the value of the i-th point of the first alternative curve, is the value of the i-th point of the second alternative curve, is the average value of the first alternative curve, is the average value of the second alternative curve.

[0030] When the embodiment of the present application is implemented, a specific correlation coefficient calculation scheme is provided, which uses the Pearson correlation coefficient for correlation analysis. It should be understood that the calculation of the correlation coefficient in the embodiment of the present application is a correlation analysis of the curves between two construction nodes.

[0031] In a possible implementation, evaluating the current proximity construction risk according to the difference between the measured correlation coefficient and the benchmark correlation coefficient includes: Calculating the difference between the measured correlation coefficient and the corresponding reference correlation coefficient as the measured ratio; When the proportion of the number of abnormal measured ratios to the total number of measured ratios is greater than a first preset value, it is determined that the current potential risk source has a capsizing risk; the abnormal measured ratio means that the measured ratio is greater than a second preset value.

[0032] When the embodiment of the present application is implemented, it can be seen whether there are abnormalities at different monitoring points through the difference between the measured correlation coefficient and the corresponding benchmark correlation coefficient. It should be understood that the value of the second preset value is different according to the calculation method of different correlation coefficients; taking the Pearson correlation coefficient in the above embodiment as an example, the second preset value can be 0.5; and the first preset value can be preferably 30%~50%.

[0033] Based on the same inventive concept, the embodiment of the present application also provides a shield tunnel proximity construction risk dynamic assessment system, including: An acquisition unit is configured to acquire a potential risk source of a target shield tunnel section and construct a finite element model including the target shield tunnel section and the potential risk source; A sample unit is configured to simulate excavation of the finite element model to obtain displacement curves of multiple monitoring points on the potential risk source, and mark construction nodes on the displacement curve to form a sample curve; A monitoring unit is configured to set a monitoring device at a position corresponding to the monitoring point when the target shield tunnel section is under construction; A marking unit, configured to obtain the displacement curve monitored by the monitoring device and mark the construction nodes to form a measured displacement curve; An evaluation unit is configured to evaluate the current proximity construction risk based on the sample curve and the measured displacement curve.

[0034] In a possible implementation, the evaluation unit is further configured to: Acquire a curve with the largest displacement among the sample curves as a first reference curve, and calculate correlation coefficients between the other sample curves and the first reference curve at the construction node as reference correlation coefficients; The measured displacement curve at the monitoring device corresponding to the reference curve is used as a second reference curve, and the correlation coefficient between the other measured displacement curves and the second reference curve at the construction node is calculated as a measured correlation coefficient; The current proximity construction risk is evaluated based on the difference between the measured correlation coefficient and the benchmark correlation coefficient.

[0035] In a possible implementation, the calculation of the correlation coefficient includes: Two curves for which correlation coefficients need to be calculated are obtained as a first curve and a second curve, and a construction node for which correlation coefficients need to be calculated is obtained as a current construction node; Obtaining a curve between a current construction node and a previous construction node in the first curve as a first candidate curve, and obtaining a curve between a current construction node and a previous construction node in the second curve as a second candidate curve; A correlation coefficient between the first candidate curve and the second candidate curve is calculated as a correlation coefficient between the first curve and the second curve at the current construction node.

[0036] In a possible implementation manner, calculating the correlation coefficient between the first candidate curve and the second candidate curve includes: The correlation coefficient is calculated according to the following formula: In the formula, r is the correlation coefficient, is the value of the i-th point of the first alternative curve, is the value of the i-th point of the second alternative curve, is the average value of the first alternative curve, is the average value of the second alternative curve.

[0037] In a possible implementation, the evaluation unit is further configured to: Calculating the difference between the measured correlation coefficient and the corresponding reference correlation coefficient as the measured ratio; When the proportion of the number of abnormal measured ratios to the total number of measured ratios is greater than a first preset value, it is determined that the current potential risk source has a capsizing risk; the abnormal measured ratio means that the measured ratio is greater than a second preset value.

[0038] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0039] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, or it can be an electrical, mechanical or other form of connection.

[0040] The units described as separate components may or may not be physically separated. As units, it is obvious that a person of ordinary skill in the art can realize that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0041] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0042] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a grid device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0043] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for dynamic assessment of shield tunnel proximity construction risk, characterized in that: include: Acquire potential risk sources of a target shield tunnel section, and construct a finite element model including the target shield tunnel section and the potential risk sources; Simulating excavation on the finite element model to obtain displacement curves of multiple monitoring points on the potential risk source, and marking construction nodes on the displacement curve to form a sample curve; When the target shield tunnel section is under construction, monitoring equipment is arranged at a position corresponding to the monitoring point; Obtaining the displacement curve monitored by the monitoring device and marking the construction nodes to form a measured displacement curve; The current proximity construction risk is evaluated based on the sample curve and the measured displacement curve.

2. A method for dynamic assessment of shield tunnel proximity construction risk according to claim 1, characterized in that: The evaluation of the current proximity construction risk based on the sample curve and the measured displacement curve includes: Acquire a curve with the largest displacement among the sample curves as a first reference curve, and calculate correlation coefficients between the other sample curves and the first reference curve at the construction node as reference correlation coefficients; The measured displacement curve at the monitoring device corresponding to the reference curve is used as a second reference curve, and the correlation coefficient between the other measured displacement curves and the second reference curve at the construction node is calculated as a measured correlation coefficient; The current proximity construction risk is evaluated based on the difference between the measured correlation coefficient and the benchmark correlation coefficient.

3. A method for dynamic assessment of shield tunnel proximity construction risk according to claim 2, characterized in that: The calculation of the correlation coefficient includes: Two curves for which correlation coefficients need to be calculated are obtained as a first curve and a second curve, and a construction node for which correlation coefficients need to be calculated is obtained as a current construction node; Obtaining a curve between a current construction node and a previous construction node in the first curve as a first candidate curve, and obtaining a curve between a current construction node and a previous construction node in the second curve as a second candidate curve; A correlation coefficient between the first candidate curve and the second candidate curve is calculated as a correlation coefficient between the first curve and the second curve at the current construction node.

4. A method for dynamic assessment of shield tunnel proximity construction risk according to claim 3, characterized in that: Calculating the correlation coefficient between the first candidate curve and the second candidate curve includes: The correlation coefficient is calculated according to the following formula: In the formula, r is the correlation coefficient, is the value of the i-th point of the first alternative curve, is the value of the i-th point of the second alternative curve, is the average value of the first alternative curve, is the average value of the second alternative curve.

5. A method for dynamic assessment of shield tunnel proximity construction risk according to claim 2, characterized in that: Evaluating the current proximity construction risk based on the difference between the measured correlation coefficient and the benchmark correlation coefficient includes: Calculating the difference between the measured correlation coefficient and the corresponding reference correlation coefficient as the measured ratio; When the proportion of the number of abnormal measured ratios to the total number of measured ratios is greater than a first preset value, it is determined that the current potential risk source has a capsizing risk; the abnormal measured ratio means that the measured ratio is greater than a second preset value.

6. A shield tunnel proximity construction risk dynamic assessment system, characterized in that: include: An acquisition unit is configured to acquire a potential risk source of a target shield tunnel section and construct a finite element model including the target shield tunnel section and the potential risk source; A sample unit is configured to simulate excavation of the finite element model to obtain displacement curves of multiple monitoring points on the potential risk source, and mark construction nodes on the displacement curve to form a sample curve; A monitoring unit is configured to set a monitoring device at a position corresponding to the monitoring point when the target shield tunnel section is under construction; A marking unit, configured to obtain the displacement curve monitored by the monitoring device and mark the construction nodes to form a measured displacement curve; An evaluation unit is configured to evaluate the current proximity construction risk based on the sample curve and the measured displacement curve.

7. A shield tunnel proximity construction risk dynamic assessment system according to claim 6, characterized in that: The evaluation unit is further configured to: Acquire a curve with the largest displacement among the sample curves as a first reference curve, and calculate correlation coefficients between the other sample curves and the first reference curve at the construction node as reference correlation coefficients; The measured displacement curve at the monitoring device corresponding to the reference curve is used as a second reference curve, and the correlation coefficient between the other measured displacement curves and the second reference curve at the construction node is calculated as a measured correlation coefficient; The current proximity construction risk is evaluated based on the difference between the measured correlation coefficient and the benchmark correlation coefficient.

8. A shield tunnel proximity construction risk dynamic assessment system according to claim 7, characterized in that: The calculation of the correlation coefficient includes: Two curves for which correlation coefficients need to be calculated are obtained as a first curve and a second curve, and a construction node for which correlation coefficients need to be calculated is obtained as a current construction node; Obtaining a curve between a current construction node and a previous construction node in the first curve as a first candidate curve, and obtaining a curve between a current construction node and a previous construction node in the second curve as a second candidate curve; A correlation coefficient between the first candidate curve and the second candidate curve is calculated as a correlation coefficient between the first curve and the second curve at the current construction node.

9. A shield tunnel proximity construction risk dynamic assessment system according to claim 8, characterized in that: Calculating the correlation coefficient between the first candidate curve and the second candidate curve includes: The correlation coefficient is calculated according to the following formula: In the formula, r is the correlation coefficient, is the value of the i-th point of the first alternative curve, is the value of the i-th point of the second alternative curve, is the average value of the first alternative curve, is the average value of the second alternative curve.

10. A shield tunnel proximity construction risk dynamic assessment system according to claim 7, characterized in that: The evaluation unit is further configured to: Calculating the difference between the measured correlation coefficient and the corresponding reference correlation coefficient as the measured ratio; When the proportion of the number of abnormal measured ratios to the total number of measured ratios is greater than a first preset value, it is determined that the current potential risk source has a capsizing risk; the abnormal measured ratio means that the measured ratio is greater than a second preset value.

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