A digital intelligent full-recovery multi-cycle deep foundation pit support structure and monitoring method

Abstract

The present invention provides a digital intelligent full-recovery multi-cycle deep foundation pit support structure and monitoring method, which belongs to the field of foundation pit technology. The present invention establishes a one-to-one correspondence between each component and its own monitoring data through RFID electronic tags, uses an inclination sensor to monitor the verticality of the support structure, uses an unmanned aerial vehicle equipped with a three-dimensional laser scanner and a ground three-dimensional laser scanner to monitor the flatness change, deformation and displacement of the support structure, and sends the monitoring data obtained to a data processing center. The data processing center monitors the monitoring data of each component in real time and issues an early warning. Through the integration of multiple technologies, digital identification, data association, real-time monitoring, three-dimensional deformation analysis and intelligent early warning of the support structure components are realized, ensuring the safety and stability of foundation pit construction and improving the recycling rate of components. Compared with the problem that data cannot be associated and integrated in traditional monitoring methods, this monitoring method fills this gap.

Description

Technical Field

[0001] The present invention relates to the field of foundation pit technology, and in particular to a digital intelligent full-recovery multi-cycle deep foundation pit support structure and a monitoring method. Background Art

[0002] The concept of full recycling and multi-cycle construction requires that the design and construction of support structures must consider the recyclability of materials and the reusability of structures. Traditional support structures are often discarded after project completion, resulting in high carbon emissions and substantial waste disposal costs. Full recycling and multi-cycle foundation pit support steel structures, due to their high efficiency, environmental friendliness, and cost-effectiveness, have gradually become a mainstream technology for foundation pit support. Steel sheet piles and H-beams are commonly used in these structures, and the stability of the supporting steel structures is crucial. During construction, steel sheet piles and H-beams are driven into the soil using a pile driver. Uneven soil layers or variations in soil properties, such as density, strength, and compressibility, can cause uneven resistance during driving, leading to tilting or changes in verticality due to the piling equipment and methods. Similarly, external forces or uneven settlement of the foundation during construction can also cause changes in the flatness of the H-beams, necessitating monitoring and adjustment of verticality and flatness. However, traditional monitoring methods, which rely on manual inspections or single sensors, present the following challenges:

[0003] 1. Data silos: Monitoring data is not associated with component information. That is, data cannot be associated and integrated between components, monitoring instruments, and monitoring systems, making it difficult to trace the deformation history of specific components.

[0004] 2. Low efficiency: Manual measurement cycle is long and real-time feedback is impossible;

[0005] 3. Incomplete coverage: Ground monitoring makes it difficult to obtain the overall deformation trend of the top and sides of the foundation pit;

[0006] 4. Difficulty in recycling: Lack of unique identification of components affects recycling efficiency.

[0007] Therefore, an intelligent and high-precision monitoring method is urgently needed in the fully-recoverable multi-cycle foundation pit support structure to grasp the deformation of each component of the support structure in real time and truly implement the concept of recycling components. Therefore, we propose a digital fully-recoverable multi-cycle deep foundation pit support structure and monitoring method. Summary of the Invention

[0008] The purpose of the present invention is to provide a digital intelligent full-recovery multi-cycle deep foundation pit support structure and monitoring method to solve the problems raised in the above background technology.

[0009] To achieve the above object, the present invention adopts the following technical solutions:

[0010] The present invention provides a digital and intelligent fully-recoverable multi-cycle deep foundation pit support structure, comprising steel plate support piles, a first row of steel support piles and a second row of steel support piles. The first row of steel support piles is arranged on one side of the steel plate support piles, and the second row of steel support piles is arranged on a side of the first row of steel support piles away from the steel plate support piles. A number of waist beams are fixedly arranged between the first row of steel support piles and the second row of steel support piles, one side of several waist beams is fixedly connected to the first row of steel support piles, and the side of several waist beams away from the first row of steel support piles is fixedly connected to the second row of steel support piles.

[0011] Furthermore, the steel sheet support pile row includes a plurality of steel sheet piles, which are sequentially engaged end to end. The first row of steel section support piles includes a plurality of first H-shaped steels arranged at intervals. The second row of steel section support piles includes a plurality of second H-shaped steels arranged at intervals. The first H-shaped steels are arranged on the inner side of the steel sheet piles, and each second H-shaped steel is arranged opposite to the corresponding first H-shaped steel.

[0012] The present invention also provides a monitoring method for a digital intelligent full recovery multi-cycle deep foundation pit support structure, the method being used to monitor the digital intelligent full recovery multi-cycle deep foundation pit support structure as described above, comprising the following steps:

[0013] S1: Install RFID tags on each component of the digital, fully recyclable, multi-cycle deep foundation pit support structure. Use the RFID tags to establish a one-to-one correspondence between each component and its respective monitoring data, which is used to track and analyze the deformation of each component.

[0014] S2: Determine the monitoring items of the digital intelligent full-recovery multi-cycle deep foundation pit support structure, including flatness, verticality, and deformation and displacement of the support structure;

[0015] S3: Use inclination sensors to monitor the verticality of the steel sheet piles, the first H-beam, and the second H-beam. Use a drone-mounted 3D laser scanner and a ground-based 3D laser scanner to monitor the flatness, deformation, and displacement of the support structure.

[0016] S4: The monitoring data obtained from monitoring is sent to the data processing center, which monitors the monitoring data of each component in real time and issues early warnings.

[0017] Furthermore, the step S3 specifically includes:

[0018] Tilt sensors are fixedly installed on the top and bottom of the steel sheet piles, and on the inner side of the flanges on both sides of the first H-beam and the second H-beam. The verticality deviation of the steel sheet piles, the first H-beam and the second H-beam is obtained through the tilt sensors. A 3D laser scanner is mounted on a drone to obtain 3D data of the top and sides of the foundation pit. A 3D laser scanner is used to scan the 3D data of the bottom of the foundation pit using a ground-based 3D laser scanner. A 3D model of the foundation pit is generated using the 3D data. The 3D models of different periods are compared and analyzed to obtain the flatness changes, deformation and displacement of the support structure.

[0019] Furthermore, the inclination sensor collects data every 30 minutes at a set time interval to record the verticality deviation of the steel sheet pile, the first H-beam and the second H-beam.

[0020] Furthermore, in step S4, a verticality deviation warning threshold is set in the data processing center, and the verticality deviation is set to be less than or equal to 0.5%. If the monitoring data of the verticality deviation exceeds the preset threshold, the data processing center sends an alarm signal to remind the staff to take measures.

[0021] Furthermore, in step S4, a flatness deviation warning threshold is set in the data processing center, and the flatness deviation is set to be less than or equal to 5 mm. If the flatness monitoring data exceeds the preset threshold, the data processing center will send an alarm signal to remind the staff to take measures.

[0022] Compared with the prior art, the present invention has the following technical effects:

[0023] 1. RFID tags are used to uniquely identify each component of the digital, fully recyclable, multi-cycle deep foundation pit support structure, establishing a unique digital identity for each component. RFID tags also establish a one-to-one correspondence between each component and its respective monitoring data, enabling "one object, one code" full lifecycle management. Workers can track and analyze the deformation of each component, achieving intelligent data management. After the digital, fully recyclable, multi-cycle deep foundation pit support structure completes its support function, each component with an RFID tag is removed. Workers use the RFID tags to query the deformation of the components, identify and classify the components that can be recycled, and use the selected components in new projects. Recycling components with RFID tags helps improve construction efficiency, reduce the demand for new steel production, and lower the carbon footprint of the entire project.

[0024] 2. The inclination sensor can monitor the vertical deviation of the deep foundation pit support structure. The drone equipped with a 3D laser scanner combined with a ground 3D laser scanner can quickly obtain 3D data of the top, side and bottom of the foundation pit, compare and analyze the 3D models of different periods, and obtain the flatness changes, deformation and displacement of the support structure. Through the combination of the inclination sensor and the 3D laser scanner, the two complement each other to ensure the comprehensiveness and accuracy of the monitoring data. Compared with traditional monitoring methods, it greatly improves the monitoring efficiency and shortens the monitoring cycle.

[0025] 3. When the data processing center detects abnormal data, it will automatically send out an alarm signal to remind the staff to take measures in time, which can effectively avoid safety accidents caused by human negligence and ensure the safety of foundation pit construction.

[0026] 4. Overall, the monitoring method provided by the present invention integrates inclination sensors, RFID electronic tags, drone-mounted three-dimensional laser scanners, ground three-dimensional laser scanners and data processing centers. Through the integration of multiple technologies, it realizes the digital identification, data association, real-time monitoring, three-dimensional deformation analysis and intelligent early warning of digital intelligent full-recovery multi-cycle deep foundation pit support structure components, ensuring the safety and stability of foundation pit construction and improving the recycling rate of components. Compared with traditional monitoring methods, the problem of data that cannot be associated and integrated between components, monitoring instruments and monitoring systems exists. This monitoring method fills this gap. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 is a flow chart of a monitoring method according to an embodiment of the present invention;

[0028] Figure 2 Schematic diagram of the structure of a deep foundation pit support structure according to an embodiment of the present invention;

[0029] Figure 3 A schematic top view of a deep foundation pit support structure according to an embodiment of the present invention;

[0030] Figure 4 This is a schematic structural diagram of a steel sheet pile and a first H-shaped steel according to an embodiment of the present invention;

[0031] Figure 5 Schematic top view of a steel sheet pile and a first H-beam according to an embodiment of the present invention;

[0032] Figure 6 This is a schematic diagram of installing an RFID electronic tag on a waist beam according to an embodiment of the present invention.

[0033] In the figure: 1. Steel plate support piles, 11. Steel sheet piles, 2. First row of steel support piles, 21. First H-beam, 3. Second row of steel support piles, 31. Second H-beam, 4. Waist beam, 5. RFID electronic tag, 6. Tilt sensor. DETAILED DESCRIPTION

[0034] The following will provide a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0035] In this article, terms such as "left, right, up, down, front, and back" are established based on the positional relationships shown in the drawings. Depending on the different drawings, the corresponding positional relationships may also change accordingly. Therefore, they cannot be understood as absolute limitations on the scope of protection.

[0036] See also Figures 1 to 6 This embodiment provides a digital, fully recyclable, multi-cycle deep foundation pit support structure, comprising a steel plate support pile row 1, a first row of section steel support piles 2, a second row of section steel support piles 3, and several waist beams 4. The first row of section steel support piles 2 is located on one side of the steel plate support pile row 1, and the second row of section steel support piles 3 is located on the side of the first row of section steel support piles 2 away from the steel plate support pile row 1. The several waist beams 4 are fixedly installed between the first row of section steel support piles 2 and the second row of section steel support piles 3. One side of the several waist beams 4 is fixedly connected to the first row of section steel support piles 2, and the side of the several waist beams 4 away from the first row of section steel support piles 2 is fixedly connected to the second row of section steel support piles 3. After construction is completed, the steel plate support pile row 1, the first row of section steel support piles 2, the second row of section steel support piles 3, and the several waist beams 4 form a multi-layer frame structure.

[0037] Specifically, the steel sheet support pile row 1 includes a number of steel sheet piles 11 driven vertically into the soil, and the steel sheet piles 11 are sequentially engaged end to end. The first row of steel support piles 2 includes a number of first H-shaped steels 21 driven vertically into the soil, the first H-shaped steels 21 are arranged on the inner side of the steel sheet piles 11, and the first H-shaped steels 21 are arranged at intervals, and a jump-and-insert method is adopted during construction. The second row of steel support piles 3 includes a number of second H-shaped steels 31 driven vertically into the soil, the second H-shaped steels 31 are arranged at intervals, and each second H-shaped steel 31 is arranged opposite to the corresponding first H-shaped steel 21, and a jump-and-insert method is adopted during construction. The waist beam 4 is an H-shaped steel, which is installed horizontally during construction. The flange on one side of the waist beam 4 is fixedly connected to the flange of the first H-shaped steel 21 away from the steel sheet support pile row 1, and the flange on the other side of the waist beam 4 is fixedly connected to the flange on one side of the second H-shaped steel 31.

[0038] This embodiment further provides a method for monitoring a digital intelligent full-recovery multi-cycle deep foundation pit support structure. The method is used to monitor the digital intelligent full-recovery multi-cycle deep foundation pit support structure, and includes the following steps:

[0039] S1: Install an RFID electronic tag 5 on each component of the digital intelligent full-recovery multi-cycle deep foundation pit support structure, and use the RFID electronic tag 5 to establish a one-to-one correspondence between each component and its respective monitoring data, so as to track and analyze the deformation of each component.

[0040] Specifically, the RFID tag 5 installed on each component is an ultra-thin, flexible, and metal-resistant RFID tag 5. The RFID tag 5 can store information such as the specifications, model, installation location, and design parameters of each component, allowing it to uniquely identify the corresponding component. Specifically, the ultra-thin, flexible, and metal-resistant RFID tag 5 is embedded in the steel sheet pile 11, forming a prefabricated steel sheet pile 11 containing the RFID tag 5. During the production process, the steel sheet pile 11 is pre-determined with a 120×15×8mm hole located on the inner edge of the steel sheet pile 11's locking buckle. The ultra-thin, flexible, and metal-resistant RFID tag 5 is embedded in the pre-determined hole. The hole is then sealed with a corrosion-resistant sealant to protect the tag from environmental factors. Ultra-thin, flexible, metal-resistant RFID tags 5 are embedded in the first and second H-beams 21 and 31, forming prefabricated first and second H-beams 21 and 31 containing RFID tags 5. During the production process, holes measuring 120×15×8 mm are reserved in the flange edges of the first and second H-beams 21 and 31, and the ultra-thin, flexible, metal-resistant RFID tags 5 are embedded in the reserved holes. The holes are then sealed with corrosion-resistant sealant to protect the tags from environmental factors. Ultra-thin, flexible, metal-resistant RFID tags 5 are embedded in the waist beam 4, forming prefabricated waist beam 4 containing RFID tags 5. During the production process, holes measuring 120×15×8 mm are reserved in the centers of the flanges of the waist beam 4, and the ultra-thin, flexible, metal-resistant RFID tags 5 are embedded in the reserved holes. The holes are then sealed with corrosion-resistant sealant to protect the tags from environmental factors.

[0041] Specifically, the ultra-thin, flexible, metal-resistant RFID tag 5 offers excellent metal resistance, superior performance, good directionality, and a long read range. Equipped with a high-frequency RFID reader and antenna, it is unaffected by the number of tags in the workspace. It requires no batteries, and its memory can be repeatedly erased and rewritten over 10,000 times, resulting in an effective service life of over ten years, offering excellent cost-effectiveness. Each RFID tag 5 has a unique identifier (ID) programmed into the chip during production, ensuring uniqueness.

[0042] Specifically, before each component of the support structure is buried, its size, shape, material, initial position, and other information are programmed into its own RFID tag 5, uniquely identifying each component. This information is then entered into a database to create a component information archive. This information is then associated with monitoring data, establishing a one-to-one correspondence between each component and its own monitoring data. This facilitates accurate tracking and analysis of each component's deformation. After the support structure is driven into the soil, a high-frequency RFID reader is installed at the center of the web of the waist beam 4. During foundation pit construction, the RFID reader uses wireless signals to read the information from the RFID tags 5 installed on the steel sheet piles 11, the first H-beam 21, the second H-beam 31, and the waist beam 4. The RFID reader then transmits the read information to a data processing center for archiving. Once the support structure completes its supporting function, the prefabricated components containing the RFID tags 5 are dismantled. Workers can then quickly identify and classify recyclable components based on the RFID tags 5 and reuse them in new projects.

[0043] Specifically, by using RFID electronic tags 5 to uniquely identify each component of the digital intelligent fully recyclable multi-cycle deep foundation pit support structure, a unique digital identity is established for each component, and a one-to-one correspondence between each component and its respective monitoring data is established through the RFID electronic tags 5, realizing "one object, one code" full life cycle management. Workers can track and analyze the deformation of each component, realizing intelligent data management. When this digital intelligent fully recyclable multi-cycle deep foundation pit support structure completes its support function, each component with the RFID electronic tag 5 installed is removed. Workers use the RFID electronic tags 5 to query the deformation of the components, identify and classify the components that can be recycled, and use the selected components in new projects. By recycling components with RFID electronic tags 5, it helps to improve construction efficiency, reduce the production demand for new steel, and reduce the carbon footprint of the entire project.

[0044] S2: Determine the monitoring items of the digital intelligent full-recovery multi-cycle deep foundation pit support structure, including flatness, verticality, and deformation and displacement of the support structure.

[0045] S3: Use the inclination sensor 6 to monitor the verticality of the steel sheet pile 11, the first H-beam 21 and the second H-beam 31, and use the drone-mounted 3D laser scanner and the ground 3D laser scanner to monitor the flatness change, deformation and displacement of the support structure.

[0046] Specifically, step S3 includes:

[0047] Tilt sensors 6 are fixedly mounted on the top and bottom of the steel sheet pile 11. Tilt sensors 6 are also fixedly mounted on the inner sides of the flanges of the first and second H-beams 21 and 31. The sensors 6 measure the tilt angles (i.e., verticality deviations) of the top and bottom of the steel sheet pile 11, the first and second H-beams 21 and 31 relative to the horizontal plane, ensuring that the steel sheet pile 11, the first and second H-beams 21 and 31 remain vertical. In this embodiment, the tilt sensors 6 are welded to the surfaces of the steel sheet pile 11, the first and second H-beams 21 and 31, ensuring close contact with the component surfaces for accurate measurement results. The tilt sensors 6 automatically collect data every 30 minutes at a predetermined interval, recording the verticality of the steel sheet pile 11, the first and second H-beams 21 and 31. The tilt sensors 6 transmit data in real time to a data processing center via wireless signals. The data processing center associates the component ID information with the monitoring data from the tilt sensors 6, facilitating the query and analysis of verticality changes for each component.

[0048] Using drones equipped with 3D laser scanners, following a pre-set flight path and altitude, they rapidly acquire 3D data of the top and sides of the foundation pit. A ground-based 3D laser scanner acquires 3D data of the bottom of the foundation pit, ensuring comprehensive coverage. The airborne and ground-based 3D laser scanners transmit the 3D data to the data processing center, which processes the received data and generates 3D models of the foundation pit at different times. Comparative analysis of these 3D models allows intuitive observation of changes in the flatness, deformation, and displacement of the support structure. The data processing center links component ID information with the monitoring data from the 3D laser scanner, enabling staff to query and analyze changes in the flatness, deformation, and displacement of each component.

[0049] Specifically, the inclination sensor 6 can monitor the vertical deviation of the deep foundation pit support structure. The drone equipped with a 3D laser scanner combined with a ground 3D laser scanner can quickly obtain 3D data of the top, side and bottom of the foundation pit, compare and analyze the 3D models of different periods, and obtain the flatness changes, deformation and displacement of the support structure. Through the combination of the inclination sensor 6 and the 3D laser scanner, the two complement each other to ensure the comprehensiveness and accuracy of the monitoring data. Compared with traditional monitoring methods, the monitoring efficiency is greatly improved and the monitoring cycle is shortened.

[0050] S4: The monitoring data obtained from monitoring is sent to the data processing center, which monitors the monitoring data of each component in real time and issues early warnings.

[0051] Specifically, the data processing center has a verticality deviation warning threshold, which is set to be less than or equal to 0.5%. If the monitoring data of the verticality deviation exceeds the preset threshold, the data processing center will send an alarm signal through the PC to remind on-site staff of abnormal information about the foundation pit. The staff will take corresponding measures based on the alarm signal and feedback the processing results to the data processing center so that the data processing center can update the database and continue monitoring. The data processing center has a flatness deviation warning threshold, which is set to be less than or equal to 5mm. If the monitoring data of the flatness exceeds the preset threshold, the data processing center will send an alarm signal through the PC to remind on-site staff of abnormal information about the foundation pit. The staff will take corresponding measures based on the alarm signal and feedback the processing results to the data processing center so that the data processing center can update the database and continue monitoring. The data processing center automatically sends an alarm signal when it detects abnormal data, and promptly reminds staff to take measures, which can effectively avoid safety accidents caused by human negligence and ensure the safety of foundation pit construction.

[0052] Specifically, overall, the monitoring method provided by the present invention integrates an inclination sensor 6, an RFID electronic tag 5, a three-dimensional laser scanner mounted on a drone, a ground three-dimensional laser scanner and a data processing center. Through the integration of multiple technologies, it realizes the digital identification, data association, real-time monitoring, three-dimensional deformation analysis and intelligent early warning of digital intelligent full-recovery multi-cycle deep foundation pit support structure components, ensuring the safety and stability of foundation pit construction and improving the recycling rate of components. Compared with traditional monitoring methods, the problem that data between components, monitoring instruments and monitoring systems cannot be associated and integrated, this monitoring method fills this gap.

[0053] The above embodiments merely illustrate the basic principles and features of the present invention and are not intended to be limiting. It should be understood that various changes and modifications may be made to the present invention by those skilled in the art without departing from the spirit and scope of the present invention, and such changes and modifications are intended to fall within the scope of the present invention as claimed. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A digital intelligent full recovery multi-cycle deep foundation pit support structure, characterized by: The invention comprises a steel plate support row pile (1), a first row of steel support row piles (2) and a second row of steel support row piles (3), wherein the first row of steel support row piles (2) is arranged on one side of the steel plate support row piles (1), and the second row of steel support row piles (3) is arranged on a side of the first row of steel support row piles (2) away from the steel plate support row piles (1), and a plurality of waist beams (4) are fixedly arranged between the first row of steel support row piles (2) and the second row of steel support row piles (3), one side of the plurality of waist beams (4) is fixedly connected to the first row of steel support row piles (2), and the side of the plurality of waist beams (4) away from the first row of steel support row piles (2) is fixedly connected to the second row of steel support row piles (3); The steel sheet support pile row (1) comprises a plurality of steel sheet piles (11), wherein the steel sheet piles (11) are sequentially joined end to end; the first row of section steel support piles (2) comprises a plurality of first H-shaped steels (21) arranged at intervals; the second row of section steel support piles (3) comprises a plurality of second H-shaped steels (31) arranged at intervals; the first H-shaped steels (21) are arranged on the inner side of the steel sheet piles (11); each second H-shaped steel (31) is arranged opposite to the corresponding first H-shaped steel (21); and each component is equipped with an RFID electronic tag (5).

2. A monitoring method for a digital intelligent full-recovery multi-cycle deep foundation pit support structure according to claim 1, characterized in that: The following steps are involved: S1: Install an RFID electronic tag (5) on each component of the digital intelligent full-recovery multi-cycle deep foundation pit support structure, and use the RFID electronic tag (5) to establish a one-to-one correspondence between each component and its respective monitoring data, so as to track and analyze the deformation of each component; S2: Determine the monitoring items of the digital intelligent full-recovery multi-cycle deep foundation pit support structure, including flatness, verticality, and deformation and displacement of the support structure; S3: Use the inclination sensor (6) to monitor the verticality of the steel sheet pile (11), the first H-shaped steel (21) and the second H-shaped steel (31), and use the drone-mounted 3D laser scanner and the ground 3D laser scanner to monitor the flatness change, deformation and displacement of the support structure; S4: The monitoring data obtained from monitoring is sent to the data processing center, which monitors the monitoring data of each component in real time and issues early warnings.

3. The digital intelligent full recovery multi-cycle deep foundation pit support structure monitoring method according to claim 2 is characterized in that: The step S3 specifically includes: Inclination sensors (6) are fixedly installed on the top and bottom of the steel sheet pile (11), and are fixedly installed on the inner sides of the flanges on both sides of the first H-shaped steel (21) and the second H-shaped steel (31). The verticality deviation of the steel sheet pile (11), the first H-shaped steel (21) and the second H-shaped steel (31) is obtained by the inclination sensors (6); a three-dimensional laser scanner is mounted on an unmanned aerial vehicle to obtain three-dimensional data of the top and side of the foundation pit, and a ground-based three-dimensional laser scanner is used to scan the three-dimensional data of the bottom of the foundation pit. A three-dimensional model of the foundation pit is generated by the three-dimensional data, and the three-dimensional models of different periods are compared and analyzed to obtain the flatness change, deformation and displacement of the support structure.

4. The method for monitoring a digital intelligent full-recovery multi-cycle deep foundation pit support structure according to claim 3 is characterized in that: The tilt sensor (6) collects data every 30 minutes at a set time interval to record the verticality deviation of the steel sheet pile (11), the first H-shaped steel (21) and the second H-shaped steel (31).

5. The digital intelligent full recovery multi-cycle deep foundation pit support structure monitoring method according to claim 2 is characterized in that: In step S4, a verticality deviation warning threshold is set in the data processing center, and the verticality deviation is set to be less than or equal to 0.5%. If the monitoring data of the verticality deviation exceeds the preset threshold, the data processing center will issue an alarm signal to remind the staff to take measures.

6. The method for monitoring a digital intelligent full-recovery multi-cycle deep foundation pit support structure according to claim 5 is characterized in that: In step S4, a flatness deviation warning threshold is set in the data processing center, and the flatness deviation is set to be less than or equal to 5 mm. If the flatness monitoring data exceeds the preset threshold, the data processing center will send an alarm signal to remind the staff to take measures.

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