A method and system for predicting displacement of a diaphragm wall

Abstract

The application relates to the field of underground construction monitoring, in particular to a diaphragm wall displacement prediction method and system. The method comprises the following steps: obtaining original coordinate positions of displacement detection points preset in a diaphragm wall, and performing re-calibration processing on the original coordinate positions; after a preset monitoring period, the actual coordinate positions of each displacement detection point are re-read; horizontal displacement data and vertical displacement data are obtained according to the actual coordinate positions corresponding to the displacement detection points; a displacement overrun area is obtained according to the horizontal displacement data and the vertical displacement data; and whether there is a displacement overrun risk is judged according to the horizontal displacement data and the vertical displacement data corresponding to the displacement overrun area.

Description

Technical Field

[0001] This application relates to the field of engineering monitoring technology, and in particular to a method and system for predicting displacement of underground diaphragm walls. Background Technology

[0002] With the development of sensor and wireless communication technologies, engineering monitoring has also begun to transform towards digitalization and informatization. By combining various wireless sensors with wireless communication systems, various key data in the construction process can be monitored in real time, and the changing trends of various parameters in the construction process can be predicted to deal with construction risks in advance and improve project quality.

[0003] This invention discloses an NB-IoT wireless sensor for long-term monitoring of horizontal displacement of diaphragm wall soil, including an inclinometer. The inclinometer collects the probe resistance change signal caused by the horizontal displacement of the soil and sends it to a signal amplification module. The signal amplification module amplifies the probe resistance change signal, converts it into a digital signal, and then sends it to a core board. The core board communicates with an NB-IoT wireless communication module. This invention also discloses a sensing method and system using this sensor. This invention solves the problems of high cost and difficult wiring of wired strain acquisition equipment, and features low cost, low power consumption, and high precision, effectively realizing long-term, real-time monitoring of horizontal displacement changes in diaphragm walls. It also solves the problems of limited transmission distance, high power consumption, and difficult on-site power supply of current wireless devices. By transmitting data to a remote server, it can achieve clustered, large-scale monitoring and centralized data management.

[0004] However, during the construction of diaphragm walls, the density of wireless communication modules is limited by many conditions, which means that there is usually a certain distance between the location of the maximum displacement and the nearest wireless communication module. This results in the directly measured deformation data being smaller than the actual data, thus affecting the accuracy of deformation measurement and prediction. Summary of the Invention

[0005] Therefore, it is necessary to provide a method, system, computer-readable storage medium, and computer program product for predicting displacement of underground continuous walls in response to the above-mentioned technical problems.

[0006] Firstly, this application provides a method for predicting the displacement of a diaphragm wall, including: Obtain the original coordinate positions of each displacement detection point preset in the continuous wall, and recalibrate the original coordinate positions; After the preset monitoring cycle, the actual coordinate position of each displacement monitoring point is reread. Based on the actual coordinate positions corresponding to the displacement monitoring points, obtain the horizontal and vertical displacement data. The displacement exceeding the limit area is obtained based on the horizontal and vertical displacement data; Determine whether there is a risk of exceeding displacement limits based on the horizontal and vertical displacement data corresponding to the area where displacement exceeds limits.

[0007] In one embodiment, the specific steps for obtaining the original coordinate positions of each displacement detection point preset in the continuous wall and recalibrating the original coordinate positions include: The initial actual coordinate positions of several monitoring points preset in the continuous wall are read sequentially as the original coordinate positions; The difference between the original coordinate position and the preset coordinate position is calculated as the deviation value, and the offset value is used as the system correction data corresponding to the displacement detection points one by one and stored. The preset coordinate position is used as the initial calibration position to complete the recalibration process of the original coordinate position.

[0008] In one embodiment, the original coordinate position or the actual coordinate position is position coordinate data relative to the preset coordinate origin and the preset coordinate system. The three orthogonal directions of the preset coordinate system are the first direction, the second direction, and the third direction. The first direction is the vertical direction, the second direction is the thickness direction of the initial point of the continuous wall, and the third direction is the extension direction of the continuous wall perpendicular to the thickness direction of the initial point of the continuous wall. The specific steps for obtaining the horizontal and vertical displacement data based on the actual coordinate position corresponding to the displacement monitoring point include: The difference between the actual coordinates of the displacement monitoring point and the first-direction coordinates of the initial calibration position is calculated and used as the vertical displacement. The difference between the actual coordinates of the displacement monitoring point and the second-direction coordinates of the initial calibration position is calculated and used as the horizontal displacement. The difference between the actual coordinates of the displacement monitoring point and the third-direction coordinates of the initial calibrated position is calculated and used as the tensile displacement.

[0009] In one embodiment, the specific steps for obtaining the displacement exceeding the limit region based on horizontal displacement data and vertical displacement data include: Based on the vertical displacement, horizontal displacement, and tensile displacement, calculate the actual coordinate position of each displacement monitoring point relative to the displacement data of the initial calibration position. Determine whether each displacement data point is outside the preset deformation value range, and define the area covered by the displacement detection point whose displacement data exceeds the preset deformation value range and its adjacent displacement detection points as the area to be verified. Perform trispline interpolation to obtain the highest interpolation point; The area enclosed by the four displacement detection points, where the highest interpolation point is located, is designated as the displacement over-limit area.

[0010] In one embodiment, the specific steps of performing trispline interpolation on the region to be verified along a first direction and a third direction to obtain the highest interpolation point include: Read the initial calibration positions of five displacement detection points in the displacement over-limit area, and select the actual coordinate positions of the three displacement monitoring points whose initial calibration positions are located in the third direction; Obtain the projected coordinates of the actual coordinate positions of the three displacement detection points onto the plane where the initial calibration position is located; The projected coordinate positions are used as marker points for trispline interpolation. Trispline interpolation is performed, and the maximum value of the trispline interpolation curve is calculated as the highest point of the interpolation.

[0011] In one embodiment, the specific steps of performing trispline interpolation on the region to be verified along a first direction and a third direction to obtain the highest interpolation point include: Read the initial calibration positions of five displacement detection points in the displacement over-limit area, and select the actual coordinate positions of the three displacement monitoring points whose initial calibration positions are located in the first direction; Obtain the projected coordinates of the actual coordinate positions of the three displacement detection points onto the plane where the initial calibration position is located; The projected coordinate positions are used as marker points for trispline interpolation. Trispline interpolation is performed, and the maximum value of the trispline interpolation curve is calculated as the highest point of the interpolation.

[0012] Secondly, this application also provides a computer device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to perform the following steps: Obtain the original coordinate positions of each displacement detection point preset in the continuous wall, and recalibrate the original coordinate positions; After the preset monitoring cycle, the actual coordinate position of each displacement monitoring point is reread. Based on the actual coordinate positions corresponding to the displacement monitoring points, obtain the horizontal and vertical displacement data. The displacement exceeding the limit area is obtained based on the horizontal and vertical displacement data; Determine whether there is a risk of exceeding displacement limits based on the horizontal and vertical displacement data corresponding to the area where displacement exceeds limits.

[0013] Thirdly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps: Obtain the original coordinate positions of each displacement detection point preset in the continuous wall, and recalibrate the original coordinate positions; After the preset monitoring cycle, the actual coordinate position of each displacement monitoring point is reread. Based on the actual coordinate positions corresponding to the displacement monitoring points, obtain the horizontal and vertical displacement data. The displacement exceeding the limit area is obtained based on the horizontal and vertical displacement data; Determine whether there is a risk of exceeding displacement limits based on the horizontal and vertical displacement data corresponding to the area where displacement exceeds limits.

[0014] Fourthly, this application also provides a computer program product comprising a computer program that, when executed by a processor, performs the following steps: Obtain the original coordinate positions of each displacement detection point preset in the continuous wall, and recalibrate the original coordinate positions; After the preset monitoring cycle, the actual coordinate position of each displacement monitoring point is reread. Based on the actual coordinate positions corresponding to the displacement monitoring points, obtain the horizontal and vertical displacement data. The displacement exceeding the limit area is obtained based on the horizontal and vertical displacement data; Determine whether there is a risk of exceeding displacement limits based on the horizontal and vertical displacement data corresponding to the area where displacement exceeds limits.

[0015] The aforementioned method, system, storage medium, and computer program product for predicting displacement of diaphragm walls collect actual displacement data at each displacement detection point through a displacement sensor array pre-installed in the diaphragm wall. It then performs trispline interpolation to fit the deformation region profile for the area where displacement occurs, thereby estimating the deformation data of the deformation region where no displacement sensors are deployed. This improves the deformation detection error caused by the limited density of sensor installation, thus enabling early detection of the location of severe deformation and improving the accuracy of construction early warning. Attached Figure Description

[0016] Figure 1 This is an application environment diagram of the underground diaphragm wall displacement prediction method in one embodiment; Figure 2 This is a flowchart illustrating a method for predicting displacement of a diaphragm wall in one embodiment. Figure 3 This is a flowchart illustrating step S100 in one embodiment; Figure 4 This is a flowchart illustrating step S300 in one embodiment; Figure 5 This is a flowchart illustrating step S400 in one embodiment; Figure 6 This is a schematic diagram of the displacement detection point arrangement in one embodiment; Figure 7 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0018] The displacement prediction method for underground diaphragm walls provided in this application embodiment can be applied to, for example... Figure 1 In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be integrated onto server 104, or it can be located in the cloud or on other network servers. Terminal 102 can be, but is not limited to, various personal computers, laptops, tablets, IoT devices, and portable wearable devices. IoT devices can be various sensors, including displacement sensors, installed in underground continuous walls. Server 104 can be implemented using a standalone server or a server cluster consisting of multiple servers.

[0019] In one embodiment, such as Figure 2 As shown, a method for predicting the displacement of a diaphragm wall is provided. This method includes: Step S100: Obtain the original coordinate positions of each displacement detection point preset in the continuous wall, and recalibrate the original coordinate positions.

[0020] In this embodiment, the original coordinates refer to the actual positions of various displacement detection points embedded within the continuous wall after its completion. Each displacement monitoring point is equipped with a sensor for monitoring the displacement of the continuous wall. The types of sensors include, but are not limited to, fiber optic grating type displacement gauges, inclinometers, and vibrating wire type displacement gauges, inclinometers, etc. Since there is still a slight discrepancy between the sensor position and the expected position during construction, the data from each monitoring point needs to be zeroed before monitoring begins. The continuous wall at the start of monitoring is taken as the initial state of the continuous wall, and multiple detection points located within a local area of ​​the continuous wall are positioned on the same flat plane.

[0021] Specifically, step S100 includes the following steps: Step S110: Read the initial actual coordinate positions of several monitoring points preset in the continuous wall as the original coordinate positions.

[0022] The original coordinate position is the actual position read by the sensor at each monitoring point. Due to external factors during construction, there is an inevitable slight deviation between the predetermined position in the design scheme and the actual installation position. The original coordinate position is the actual position of the sensor after the preset coordinate position is superimposed with the aforementioned deviation.

[0023] Step S120: Calculate the difference between the original coordinate position and the preset coordinate position as the deviation value, and store the offset value as system correction data corresponding to the displacement detection points one by one.

[0024] The preset coordinate positions are the predetermined locations of each detection point when designing the construction plan. One possible layout method is to arrange the detection point array at equal intervals along the extension and height directions of the continuous wall to obtain the actual position of each detection point. Based on the displacement data of each detection point, the displacement change of the continuous wall is calculated. The system correction data is the deviation between the original coordinate position and the preset coordinate position of each detection point. The system correction data is calculated and stored for subsequent calculations to determine whether the displacement of the continuous wall exceeds the limit range.

[0025] Step S130: Use the preset coordinate position as the initial calibration position to complete the recalibration process of the original coordinate position.

[0026] Step S200: After the preset monitoring cycle, reread the actual coordinate position of each displacement monitoring point.

[0027] In the embodiments of this application, the original coordinate position or the actual coordinate position are both position coordinate data relative to the preset coordinate origin and the preset coordinate system. The three orthogonal directions of the preset coordinate system are the first direction, the second direction and the third direction. The first direction is the vertical direction, the second direction is the thickness direction of the initial point of the continuous wall, and the third direction is the extension direction of the continuous wall that is perpendicular to the thickness direction of the initial point of the continuous wall.

[0028] Step S300: Obtain horizontal and vertical displacement data based on the actual coordinate positions of the displacement monitoring points.

[0029] In one specific embodiment, step S300 includes the following steps: Step S310: Calculate the difference between the actual coordinate position of the displacement monitoring point and the first direction coordinate of the initial calibration position, and use it as the vertical displacement. Step S320: Calculate the difference between the actual coordinate position of the displacement monitoring point and the second direction coordinate of the initial calibration position, and use it as the horizontal displacement. Step S330: Calculate the difference between the actual coordinate position of the displacement monitoring point and the third-direction coordinate of the initial calibration position, and use it as the tensile displacement.

[0030] Step S400: Obtain the displacement exceeding the limit area based on the horizontal displacement data and the vertical displacement data.

[0031] Specifically, step S400 also includes the following steps: Step S410: Based on the vertical displacement, horizontal displacement, and tensile displacement, calculate the displacement data of the actual coordinate position of each displacement monitoring point relative to the initial calibration position.

[0032] The displacement data is the arithmetic square root of the sum of the squares of the vertical displacement, horizontal displacement, and tensile displacement, which is also the magnitude of the displacement vector of the displacement monitoring point.

[0033] Step S420: Determine whether the displacement data is outside the preset deformation value range one by one, and define the area covered by the displacement detection point whose displacement data exceeds the preset deformation value range and its surrounding adjacent displacement detection points as the area to be verified.

[0034] The preset deformation range is 50% of the theoretical deformation limit calculated during the design phase of the continuous wall. The area to be verified is the area covered by the displacement detection point whose displacement data exceeds the preset deformation range and its four adjacent displacement monitoring points.

[0035] Step S430: Perform trispline interpolation along the first direction and the third direction for the area to be verified to obtain the highest interpolation point.

[0036] In one specific embodiment, such as Figure 6 As shown, the displacement detection points are arranged in an array along the first and third directions. The displacement detection points that exceed the preset deformation value range are (A) i B j Its adjacent point in the first direction is (A) i B j-1 ) and (A i B j+1 Its adjacent point in the third direction is (A) i-1 B j ) and (A i+1 B j ), perform trispline interpolation along the first direction, that is, for (A i B j-1 ), (A i B j ) and (A i B j+1 Trispline interpolation is performed on the interval containing the three points to obtain the displacement change of the continuous wall in the second direction. Trispline interpolation is performed along the third direction to obtain the displacement change of the continuous wall in the second direction. i-1 B j), (A i B j ) and (A i+1 B j Trispline interpolation is performed on the interval containing the three points to obtain the displacement change of the continuous wall in the second direction. In this embodiment, free boundary conditions are used for trispline interpolation calculation.

[0037] In one embodiment, step S430 specifically includes the following steps: Read the initial calibration positions of five displacement detection points in the displacement over-limit area, and select the actual coordinate positions of the three displacement monitoring points whose initial calibration positions are located in the third direction; Obtain the projected coordinates of the actual coordinate positions of the three displacement detection points onto the plane where the initial calibration position is located; The projected coordinate positions are used as marker points for trispline interpolation. Trispline interpolation is performed, and the maximum value of the trispline interpolation curve is calculated as the highest point of the interpolation.

[0038] In one embodiment, step S430 specifically includes the following steps: Read the initial calibration positions of five displacement detection points in the displacement over-limit area, and select the actual coordinate positions of the three displacement monitoring points whose initial calibration positions are located in the first direction; Obtain the projected coordinates of the actual coordinate positions of the three displacement detection points onto the plane where the initial calibration position is located; The projected coordinate positions are used as marker points for trispline interpolation. Trispline interpolation is performed, and the maximum value of the trispline interpolation curve is calculated as the highest point of the interpolation.

[0039] Step S440: The area enclosed by the four displacement detection points where the highest interpolation point is located is taken as the displacement over-limit area.

[0040] Step S500: Determine whether there is a risk of displacement exceeding the limit based on the horizontal displacement data and vertical displacement data corresponding to the displacement exceeding the limit area.

[0041] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0042] Based on the same inventive concept, this application also provides a diaphragm wall displacement prediction device for implementing the above-mentioned diaphragm wall displacement prediction method. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more embodiments of the diaphragm wall displacement prediction device provided below can be found in the limitations of the diaphragm wall displacement prediction method described above, and will not be repeated here.

[0043] In one embodiment, a diaphragm wall displacement prediction system is provided. This system is a computer device, and its internal structure diagram can be shown as follows: Figure 7 As shown, the computer device includes a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements a method for predicting the displacement of underground continuous walls. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0044] Each module in the aforementioned diaphragm wall displacement prediction device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0045] Those skilled in the art will understand that Figure 7 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0046] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps: Step S100: Obtain the original coordinate positions of each displacement detection point preset in the continuous wall, and recalibrate the original coordinate positions; Step S200: After the preset monitoring cycle, reread the actual coordinate position of each displacement monitoring point; Step S300: Based on the actual coordinate position corresponding to the displacement monitoring point, obtain the horizontal displacement data and vertical displacement data. Step S400: Obtain the displacement exceeding the limit area based on the horizontal displacement data and the vertical displacement data; Step S500: Determine whether there is a risk of displacement exceeding the limit based on the horizontal displacement data and vertical displacement data corresponding to the displacement exceeding the limit area.

[0047] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor: Step S100: Obtain the original coordinate positions of each displacement detection point preset in the continuous wall, and recalibrate the original coordinate positions; Step S200: After the preset monitoring cycle, reread the actual coordinate position of each displacement monitoring point; Step S300: Based on the actual coordinate position corresponding to the displacement monitoring point, obtain the horizontal displacement data and vertical displacement data. Step S400: Obtain the displacement exceeding the limit area based on the horizontal displacement data and the vertical displacement data; Step S500: Determine whether there is a risk of displacement exceeding the limit based on the horizontal displacement data and vertical displacement data corresponding to the displacement exceeding the limit area.

[0048] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, performs the following steps: Step S100: Obtain the original coordinate positions of each displacement detection point preset in the continuous wall, and recalibrate the original coordinate positions; Step S200: After the preset monitoring cycle, reread the actual coordinate position of each displacement monitoring point; Step S300: Based on the actual coordinate position corresponding to the displacement monitoring point, obtain the horizontal displacement data and vertical displacement data. Step S400: Obtain the displacement exceeding the limit area based on the horizontal displacement data and the vertical displacement data; Step S500: Determine whether there is a risk of displacement exceeding the limit based on the horizontal displacement data and vertical displacement data corresponding to the displacement exceeding the limit area.

[0049] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0050] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0051] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for predicting displacement of diaphragm walls, characterized in that, include: Obtain the original coordinate positions of each displacement detection point preset in the continuous wall, and recalibrate the original coordinate positions; After the preset monitoring cycle, the actual coordinate position of each displacement monitoring point is reread. Based on the actual coordinate position corresponding to the displacement monitoring point, obtain the horizontal displacement data and vertical displacement data. The displacement exceeding the limit area is obtained based on the horizontal displacement data and the vertical displacement data; The presence of a risk of exceeding displacement limits is determined based on the horizontal and vertical displacement data corresponding to the area where displacement exceeds limits.

2. The method for predicting displacement of diaphragm walls according to claim 1, characterized in that, The specific steps for obtaining the original coordinate positions of each displacement detection point preset in the continuous wall and recalibrating the original coordinate positions include: The initial actual coordinate positions of several monitoring points preset in the continuous wall are read sequentially as the original coordinate positions; The difference between the original coordinate position and the preset coordinate position is calculated as the deviation value, and the deviation value is used as system correction data corresponding to the displacement detection points one by one and stored. The preset coordinate position is used as the initial calibration position to complete the recalibration process of the original coordinate position.

3. The method for predicting displacement of diaphragm walls according to claim 2, characterized in that, The original coordinate position or actual coordinate position are both position coordinate data relative to the preset coordinate origin and the preset coordinate system. The three orthogonal directions of the preset coordinate system are the first direction, the second direction, and the third direction. The first direction is the vertical direction, the second direction is the thickness direction of the initial point of the continuous wall, and the third direction is the extension direction of the continuous wall perpendicular to the thickness direction of the initial point of the continuous wall. The specific steps for obtaining horizontal and vertical displacement data based on the actual coordinate position corresponding to the displacement monitoring point include: The difference between the actual coordinate position of the displacement monitoring point and the first direction coordinate of the initial calibration position is calculated and used as the vertical displacement. The difference between the actual coordinate position and the second-direction coordinate of the displacement monitoring point is calculated and used as the horizontal displacement. The difference between the actual coordinate position of the displacement monitoring point and the third-direction coordinate of the initial calibrated position is calculated and used as the tensile displacement.

4. The method for predicting displacement of diaphragm walls according to claim 3, characterized in that, The specific steps for obtaining the displacement exceeding the limit region based on the horizontal displacement data and the vertical displacement data include: Based on the vertical displacement, horizontal displacement, and tensile displacement, calculate the actual coordinate position of each displacement monitoring point relative to the initial calibration position. Each displacement data point is determined to be outside the preset deformation value range, and the area covered by the displacement detection point whose displacement data exceeds the preset deformation value range and its adjacent displacement detection points is defined as the area to be verified. Trispline interpolation is performed along the first direction and the third direction for the area to be verified to obtain the highest interpolation point; The area enclosed by the four displacement detection points, where the highest interpolation point is located, is designated as the displacement over-limit area.

5. The method for predicting displacement of diaphragm walls according to claim 4, characterized in that, The specific steps for performing trispline interpolation on the region to be verified along the first direction and the third direction respectively to obtain the highest interpolation point include: Read the initial calibration positions of five displacement detection points in the displacement over-limit area, and select the actual coordinate positions corresponding to the three displacement monitoring points whose initial calibration positions are located in the third direction; Obtain the projected coordinates of the actual coordinate positions of the three displacement detection points on the plane where the initial calibration position is located; The projected coordinate positions are used as marker points for trispline interpolation. Trispline interpolation is performed, and the maximum value of the trispline interpolation curve is calculated as the highest point of the interpolation.

6. The method for predicting displacement of diaphragm walls according to claim 4, characterized in that, The specific steps for performing trispline interpolation on the region to be verified along the first direction and the third direction respectively to obtain the highest interpolation point include: Read the initial calibration positions of five displacement detection points in the displacement over-limit area, and select the actual coordinate positions of the three displacement monitoring points whose initial calibration positions are located in the first direction; Obtain the projected coordinates of the actual coordinate positions of the three displacement detection points on the plane where the initial calibration position is located; The projected coordinate positions are used as marker points for trispline interpolation. Trispline interpolation is performed, and the maximum value of the trispline interpolation curve is calculated as the highest point of the interpolation.

7. The method for predicting displacement of diaphragm walls according to any one of claims 1-6, characterized in that... The specific steps for rereading the actual coordinate position of each displacement monitoring point after the preset monitoring period include: The preset monitoring cycle is the actual coordinate position sampling cycle preset by the system. At the end of each preset monitoring cycle, the actual coordinate position of each displacement monitoring point is read sequentially according to the initial calibrated position of the displacement monitoring point.

8. A diaphragm wall displacement prediction system, comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

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