A digital and intelligent assembly anti-slide pile board wall system

Abstract

The application discloses a digital and intelligent assembly anti-slide pile board wall system and relates to the field of digital and intelligent prefabricated assembly. The system comprises the following steps: a three-dimensional anti-slide pile board wall system model is established based on slope calculation data, unique codes are generated for the anti-slide pile and the prefabricated retaining board, and a construction assembly sequence atlas is formed; the anti-slide pile is constructed based on the construction assembly sequence atlas, and an identity chip and a first monitoring sensor are pre-buried in the pile body; a prefabricated retaining board component with a groove is prepared, and a second monitoring sensor and an identity chip are pre-buried in the component; based on the chip information and the construction assembly sequence atlas, the on-site assembly of the prefabricated retaining board and the corresponding anti-slide pile is guided and verified; sensor data is collected, the data is transmitted to a background management system, the dynamic safety factor of the pile board wall system is calculated based on the data, and a warning is triggered. The prefabricated retaining board is connected through bolts to realize rapid assembly, the component is intelligently managed through the pre-buried chip, and the prefabricated groove is combined with the ecological landscape function.

Description

Technical Field

[0001] This invention relates to the field of digital intelligent assembly, specifically to a digital intelligent assembly anti-slip pile wall system. Background Technology

[0002] Traditional anti-slide pile-slab wall systems typically consist of anti-slide piles, a capping beam at the top of the piles, and retaining slabs between the piles. The conventional construction process is as follows: first, the construction of the anti-slide piles and the capping beam is completed. After they reach the specified strength, the formwork is erected on-site, and the reinforcing steel is tied to construct the retaining slab structure between the piles.

[0003] In practical engineering, especially in environments with complex terrain and geological conditions, limited construction space, or high requirements for construction efficiency, existing systems face numerous challenges in their construction methods. For example, to complete the construction of retaining walls between piles, additional earthwork excavation and backfilling are often required, leading to increased workload, extended construction period, and cumbersome construction processes that hinder rapid assembly and installation. Furthermore, retaining walls formed by conventional construction methods often have bare concrete surfaces, making it difficult to harmonize with the surrounding natural environment and lacking ecological landscape functionality. Simultaneously, existing systems generally lack effective long-term health monitoring and intelligent early warning mechanisms, making it difficult to achieve real-time perception and information management of structural safety status during operation.

[0004] Therefore, there is an urgent need for an anti-slide pile wall system that can adapt to complex environments, meet the requirements of rapid assembly, and has both ecological landscape and intelligent monitoring functions. Summary of the Invention

[0005] Based on the shortcomings of the prior art described above, the purpose of this invention is to provide a digital and intelligent assembly anti-slide pile wall system to solve the above-mentioned technical problems.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a digital intelligent assembly anti-slide pile wall system, comprising: a modeling and coding module, an anti-slide pile construction module, a production and binding module, an intelligent assembly module, and a monitoring and maintenance module; Modeling and Coding Module: Based on the preset slope calculation data, an anti-slide pile-slab wall model is established, a unique code is generated for each anti-slide pile and each precast retaining slab, and the pile-slab correspondence is established to form a construction assembly sequence diagram; Anti-slide pile construction module: Based on the construction assembly sequence diagram, the anti-slide pile is drilled and poured, and the first monitoring sensor is pre-embedded on one side of the retaining part of the pile body; Production and binding module: prefabricate baffle components with flower grooves, and pre-embed a second monitoring sensor and a chip storing identity information inside the baffle components; Intelligent assembly module: Based on the identity information and construction assembly sequence diagram in the chip, it guides and verifies the on-site assembly of prefabricated baffle components and corresponding anti-slide piles; Monitoring and Maintenance Module: Collects sensor data from the first and second monitoring sensors, calculates the dynamic safety factor of the pile-slab wall system reflecting the system's safety status based on the sensor data, and issues early warning information based on the dynamic safety factor of the pile-slab wall system.

[0007] The present invention is further configured such that the modeling and coding module includes: a digital modeling unit and a construction drawing generation unit.

[0008] The present invention is further configured such that the digital modeling unit specifically includes: The slope calculation data includes: topographic measurement data obtained through remote sensing or ground mapping, and geological survey data obtained through exploration boreholes, in-situ testing and laboratory experiments; Based on slope calculation data, a three-dimensional anti-slide pile-slab wall system model representing the stratum distribution is generated using a BIM+geology integrated platform. In the three-dimensional anti-slide pile-plate wall system model, based on the Bishop method for slope calculation, the ratio of shear strength to shear stress along the sliding surface is calculated by trial calculation of potential sliding surfaces with different locations and shapes, thereby obtaining the safety factor of each potential sliding surface; Based on the safety factor, by comparing the safety factors of each potential sliding surface, the sliding surface with the smallest safety factor is identified as the most dangerous sliding surface, thereby completing the quantitative assessment of slope stability and determining the spatial location and geometric shape of the most dangerous sliding surface accordingly. Based on the stability assessment results and the pre-set retaining design requirements, a parametric design method is used to determine the pile position coordinates and pile body parameters of each anti-slide pile. The pile spacing, pile diameter, and pile foundation depth are set according to the most dangerous sliding surface. The design spatial coordinates and plate parameters of each precast retaining plate are determined in conjunction with the morphology. The pile body parameters include: pile length, pile diameter, reinforcement parameters and codes. The plate body parameters include: geometric dimensions, plate thickness, structural details and codes.

[0009] The present invention is further configured such that the construction drawing generation unit specifically includes: According to the preset coding rules, a unique pile identification code is assigned to the anti-slide piles that have completed parametric design, and a unique plate identification code is assigned to each precast retaining plate. Based on the physical characteristics of the slope, an installation correspondence mapping table is established between pile identification codes and slab identification codes; The mapping table of the installation correspondence between anti-slide piles with identification codes and precast retaining plates, as well as the design parameters and spatial coordinates of the components, are integrated and encapsulated to output a construction assembly sequence diagram. The construction assembly sequence diagram specifically includes: pile identification codes, design pile position coordinates and pile parameters of anti-slide piles, plate identification codes, design spatial coordinates and plate parameters of precast retaining plates, and installation correspondence mapping table.

[0010] The present invention is further configured such that the anti-slide pile construction module specifically includes: Receive and parse the construction assembly sequence diagram to obtain the design pile location coordinates and pile body parameters of the anti-slide piles; Based on the designed pile location coordinates, on-site measurement and drilling are carried out to prepare a steel cage with the first monitoring sensor built in, and then lower it into the pile hole. Concrete is poured to form the pile structure. The first monitoring sensor includes: strain sensors and tilt sensors deployed on the key stress sections of the pile body, and an identification code chip deployed on the top of the pile.

[0011] The present invention is further configured such that the production and binding module specifically includes: Receive plate identification codes and plate parameters from the construction assembly sequence diagram; Based on the slab parameters, a reinforced concrete retaining slab component with flower grooves is prefabricated in the prefabrication plant. Specifically, this includes: tying a steel reinforcement frame and pre-embedding a second monitoring sensor in a location where the slab is not easily damaged. The second monitoring sensor includes: an earth pressure sensor arranged on the back of the retaining slab and a displacement sensor inside the slab. Subsequently, formwork was erected, and during the concrete pouring process, identification chips containing the board's identification code were embedded into the components, with flower troughs reserved for hanging the components. After the retaining wall components are cured, a machine-readable identifier associated with the identity chip is set on the surface of the retaining wall.

[0012] The present invention is further configured such that the intelligent assembly module specifically includes: Read the machine-readable markings on the surface of the precast retaining plate to be installed to obtain the plate identification code, and read the pile identification code of the corresponding anti-slide pile at the target installation location; The obtained plate identification code and pile identification code are compared and verified with the installation correspondence mapping table in the construction assembly sequence diagram; After verification, the hoisting path and positioning guidance information are generated based on the design spatial coordinates of the retaining plate components in the construction assembly sequence diagram. According to the guidance information, the retaining plate components are hoisted to the corresponding designed position between piles, and mechanically fixed to the anti-slide piles through the pre-embedded connectors; The assembly completion status information is associated with the corresponding component identification code and uploaded to the backend management system platform.

[0013] The present invention is further configured such that the monitoring and maintenance module specifically includes: a security assessment unit and an early warning unit.

[0014] The present invention is further configured such that the security assessment unit specifically includes: Raw data from the first and second monitoring sensors are collected and preprocessed. For each anti-slide pile and retaining plate, based on the pre-processed raw data, the component health monitoring data of each component is obtained by normalizing and weighted fusion calculation of the data from all sensors on the component. Based on the pile identification code and the corresponding slab identification code, the support subsystem components are combined, and the stability coefficient of the subsystem is calculated based on real-time health monitoring data, combined with the component health of the pile and the component health of the slab. By combining the stability coefficients of all subsystems, and using an evaluation model trained with historical data, the dynamic safety factor of the pile-slab wall system is obtained.

[0015] The present invention is further configured such that the early warning unit specifically includes: The dynamic safety factor of the pile-slab wall system calculated by the safety assessment unit is compared in real time with multiple preset numerical threshold ranges. Based on the comparison results, when the index falls into different threshold ranges, the corresponding level of warning signal is automatically triggered, and preset response measures are executed. The warning levels include: prompt, warning, and alarm.

[0016] This invention provides a digital and intelligent assembly anti-slide pile-slab wall system. The system comprises a modeling and coding module: establishing an anti-slide pile-slab wall system model based on preset slope calculation data and slope stability calculation results, generating unique codes for anti-slide piles and precast retaining slabs, and establishing a pile-slab correspondence to form a construction assembly sequence diagram; an anti-slide pile construction module: performing anti-slide pile pouring construction based on the construction assembly sequence diagram, and pre-embedding a first monitoring sensor in the pile body; a production and binding module: prefabricating retaining slab components with flower grooves, and pre-embedding a second monitoring sensor and a chip storing identity information inside the retaining slab components; an intelligent assembly module: guiding and verifying the on-site assembly of the precast retaining slab components and corresponding anti-slide piles based on the identity information in the chip and the construction assembly sequence diagram; and a monitoring and maintenance module: collecting sensor data from the first and second monitoring sensors, calculating the dynamic safety coefficient of the pile-slab wall system reflecting the system's safety status based on the sensor data, and issuing early warning information based on the dynamic safety coefficient of the pile-slab wall system. The beneficial effects include: Achieve rapid and efficient prefabricated construction: By prefabricating retaining plates and setting them on the back soil surface of the anti-slide piles, and using bolt connections, the excavation of the soil behind the piles and the on-site pouring of the panel construction support are avoided. Only small equipment is needed for rapid installation, which significantly improves construction efficiency and quality and saves project costs.

[0017] It enables intelligent management capabilities that allow for full lifecycle traceability of components: By embedding chips in prefabricated slabs, each component is given a unique digital identity, enabling full-process information tracking and intelligent management from production and installation to operation and maintenance.

[0018] Achieving an organic integration of protective structure and ecological landscape: By setting prefabricated flower troughs on prefabricated retaining walls and matching them with planting and drip irrigation systems, the retaining walls can form a continuous ecological green landscape while fulfilling their supporting function.

[0019] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In the drawings: Figure 1 A schematic diagram illustrating the structural composition of a digitally intelligent assembled anti-slide pile-slab wall system is shown as an exemplary embodiment of the present invention. Figure 2 A flowchart illustrating the digital modeling unit structure of an intelligent assembly anti-slide pile-slab wall system, as shown in an exemplary embodiment of the present invention; Figure 3 This is a schematic diagram of the elevation arrangement of anti-slide piles and retaining plates between piles in an intelligent assembly anti-slide pile and plate wall system, which is an exemplary embodiment of the present invention. In the diagram: 1 is an anti-slide pile, 2 is a retaining plate, and 4 is the identification code chip of the pile body and the plate body. Figure 4 This is a schematic diagram of the planar arrangement of anti-slide piles and retaining plates between piles in an intelligent assembly anti-slide pile-plate wall system, which is an exemplary embodiment of the present invention. In the diagram: 1 is an anti-slide pile, 2 is a retaining plate, 3 is a bolt, 4 is an identification code chip for the pile body and the plate body, 5 is a first monitoring sensor, 6 is a second monitoring sensor, 7 is a drainage pipe, and 8 is a connecting bolt between plates. Detailed Implementation

[0021] The embodiments of the present invention will be described below with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention and not for limiting the scope of protection of the present invention.

[0022] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Therefore, the drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0023] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the invention. However, it will be apparent to those skilled in the art that embodiments of the invention may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the invention. Example

[0024] A digitalized and intelligent assembled anti-slide pile-slab wall system, such as Figure 1 As shown, it includes: Modeling and Coding Module: Based on the preset slope calculation data, an anti-slide pile-slab wall model is established, a unique code is generated for the anti-slide piles and precast retaining slabs, and the pile-slab correspondence is established to form a construction assembly sequence diagram; Anti-slide pile construction module: Based on the construction assembly sequence diagram, the anti-slide pile is drilled and poured, and the first monitoring sensor is pre-embedded on one side of the pile body retaining part, and a chip storing identity information is pre-embedded on the top of the pile. Production and binding module: prefabricate baffle components with flower grooves, and pre-embed a second monitoring sensor and a chip storing identity information inside the baffle components; Intelligent assembly module: Based on the identity information and construction assembly sequence diagram in the chip, it guides and verifies the on-site assembly of prefabricated baffle components and corresponding anti-slide piles; Monitoring and Maintenance Module: Collects sensor data from the first and second monitoring sensors, calculates the dynamic safety factor of the pile-slab wall system reflecting the system's safety status based on the sensor data, and issues early warning information based on the dynamic safety factor of the pile-slab wall system.

[0025] The present invention is further configured such that the modeling and coding module includes a digital modeling unit and a construction drawing generation unit. Specifically, the digital modeling unit is used to convert slope calculation data into a three-dimensional anti-slide pile-slab wall model containing support structure design parameters, providing accurate design basis for subsequent construction; the construction drawing generation unit is used to assign a unique code to the designed components and integrate spatial and logical relationships to generate a construction assembly sequence diagram that drives the entire process of production, assembly, and operation and maintenance.

[0026] The present invention is further configured such that the digital modeling unit specifically includes: The slope calculation data includes: topographic measurement data obtained through remote sensing or ground mapping, and geological survey data obtained through exploration boreholes, in-situ testing and laboratory experiments; Based on slope calculation data, a three-dimensional anti-slide pile-slab wall system model representing the stratum distribution is generated using a BIM+geology integrated platform. In the three-dimensional anti-slide pile-plate wall system model, based on the Bishop method for slope calculation, the ratio of shear strength to shear stress along the sliding surface is calculated by trial calculation of potential sliding surfaces with different locations and shapes, thereby obtaining the safety factor of each potential sliding surface; Based on the safety factor, by comparing the safety factors of each potential sliding surface, the sliding surface with the smallest safety factor is identified as the most dangerous sliding surface, thereby completing the quantitative assessment of slope stability and determining the spatial location and geometric shape of the most dangerous sliding surface accordingly. Based on the stability assessment results and the pre-set retaining structure design requirements, a parametric design method was used to determine the pile coordinates and pile body parameters of each anti-slide pile. The pile spacing, pile diameter, and pile foundation depth were set according to the most dangerous sliding surface. In conjunction with the morphology, the design spatial coordinates and plate parameters of each precast retaining slab were determined. The pile body parameters include: pile length, pile diameter, reinforcement parameters, and codes. The plate body parameters include: geometric dimensions, plate thickness, structural details, and codes. Specifically, such as... Figure 2As shown, the digital modeling unit performs the entire process from 3D geological modeling and slope stability calculation to parametric design of retaining structures based on the input slope calculation data. The input slope calculation data includes topographic survey data obtained through remote sensing or ground mapping, as well as geological exploration data obtained through borehole drilling, in-situ testing, and laboratory experiments. The topographic survey data is specifically represented as a point cloud containing 3D coordinates and the resulting digital elevation model and slope morphology. The geological exploration data specifically includes: the depth of stratigraphic boundaries revealed by boreholes, geological types, soil mechanical properties obtained from in-situ testing, and the natural unit weight, cohesion c, and internal friction angle φ values ​​obtained from laboratory tests on undisturbed soil samples. First, topographic and geological data are fused and standardized, converting all data to unified engineering geotechnical parameters. Then, using Kriging interpolation, a spatial interpolation method in geostatistics, with borehole stratigraphic boundaries as known sample points, the continuous spatial distribution of each stratigraphic interface is calculated, generating a three-dimensional anti-slide pile-slab wall system model that characterizes the three-dimensional spatial distribution of different strata and the physical and mechanical properties of the soil and rock mass. Next, quantitative slope stability is quantitatively assessed within this three-dimensional anti-slide pile-slab wall system model, and the most dangerous sliding surface is determined. This is achieved by randomly generating a large number of potential sliding surfaces with different locations, depths, and curvatures within the model's potential instability area using Monte Carlo simulation. For each potential sliding surface, a simplified Bishop method based on limit equilibrium theory is used for calculation: the sliding body is divided into several vertical soil strips, and through iterative calculation, the total anti-slide moment and the total sliding moment along the sliding surface of all soil strips reach equilibrium; the ratio of the two is the safety factor of that sliding surface. The system automatically compares all calculated safety factors, identifies the sliding surface with the smallest safety factor as the most dangerous sliding surface, and records its spatial coordinates and geometric shape. The stability assessment here must meet preset support design requirements; that is, the calculated safety factor of the slope before support is used as design input. Typical design standards refer to industry standards such as the requirements for stability safety factors in the "Technical Code for Building Slope Engineering" GB50330. Finally, parametric design of the support structure is performed based on the determined most dangerous sliding surface. In the thrust concentration area of ​​the most dangerous sliding surface, anti-slide pile axes are arranged perpendicular to the sliding direction, and the pile position coordinates of each anti-slide pile are determined. The m-method in the elastic foundation beam method is used to analyze the distribution of internal forces in the pile body under landslide thrust. According to the "Code for Design of Concrete Structures" GB50010 and other regulations, the pile spacing, pile length, pile diameter, and specific reinforcement parameters of each anti-slide pile are calculated and determined. Based on the pile spacing and the slope height expressed by the digital elevation model of the slope, the design spatial coordinates, geometric dimensions, slab thickness, reinforcement and embedded parts of each precast retaining slab are determined in a coordinated manner.The entire parametric design process is automatically iteratively optimized through a built-in algorithm until all structural parameters meet the strength, stiffness, and stability requirements in the aforementioned design specifications. The final output includes the design parameters of all anti-slide piles and precast retaining plates. Each anti-slide pile is assigned a unique code, and each precast retaining plate is assigned a unique code as part of its design parameters.

[0027] The present invention is further configured such that the construction drawing generation unit specifically includes: According to the preset coding rules, a unique pile identification code is assigned to the anti-slide piles that have completed parametric design, and a unique plate identification code is assigned to each precast retaining plate. Establish a mapping table for the installation correspondence between pile identification codes and slab identification codes; The mapping table of installation correspondence between anti-slide piles with identification codes and precast retaining panels, along with the design parameters and spatial coordinates of the components, is integrated and encapsulated to output a construction assembly sequence diagram. This construction assembly sequence diagram specifically includes: pile identification codes, design pile position coordinates and pile parameters of anti-slide piles, slab identification codes, design spatial coordinates and slab parameters of precast retaining panels, and an installation correspondence mapping table. Specifically, the construction assembly sequence diagram is generated based on the design results output by the digital modeling unit. The input slope three-dimensional anti-slide pile-slab wall system model is a three-dimensional solid model containing stratum distribution and physical and mechanical parameters of the soil and rock mass. The input anti-slide pile design results include the design pile position coordinates and pile parameters for each anti-slide pile, including pile length, pile diameter, and reinforcement parameters. The input precast retaining panel design results include the design spatial coordinates and slab parameters for each precast retaining panel, including geometric dimensions, slab thickness, and structural details. Preset codes are also included. The specific rules are defined as follows: the pile identification code format for anti-slide piles can be set to "KZ-section number-serial number", where the section number is sequentially numbered starting from 1 according to the section division of the design drawings, and the sequence number of anti-slide piles within the same section is sequentially numbered starting from 01; the plate identification code format for precast retaining slabs can be "DB-starting pile identification code-ending pile identification code-slab sequence number", where the starting and ending pile identification codes are the codes of the two anti-slide piles connected to the slab, and the plate sequence number is sequentially numbered from 01 to top-down within the same pile position. First, a unique identifier is assigned to all components according to the preset coding rules. The system reads the design pile position coordinates of the anti-slide piles, automatically assigns section numbers according to the design section area to which the pile position coordinates belong, and assigns sequence numbers according to the horizontal order of the pile positions within the section, generating a pile identification code such as KZ-1-01, which is permanently bound to the pile design parameters. The system reads the design spatial coordinates of the precast retaining slabs, determines the two anti-slide piles corresponding to the horizontal projection of each slab by coordinate comparison, and obtains the pile identification codes of these two piles as the start and end codes. Within the same pair of piles, slab serial numbers are assigned from low to high based on the design elevation of the slab's bottom surface, generating slab identification codes such as DB-KZ101-KZ102-01 and permanently binding them to the slab's design parameters. Next, based on the slope physical characteristics represented by the spatial coordinates of the components, an installation correspondence mapping table is automatically constructed. The system parses the spatial topological relationships of all coded components: for each precast retaining slab, spatial inclusion is determined by comparing its corner coordinates with the anti-slide pile coordinates to confirm the corresponding anti-slide piles on its left and right sides; simultaneously, based on the bottom elevation of the slab, multiple slabs are vertically sorted within the same pile area, and the slab serial numbers are recorded. The system generates a structured record for each set of correspondences, including the slab identification code, the left pile identification code, the right pile identification code, and the vertical installation serial number. All records constitute the installation correspondence mapping table.Finally, the system integrates and encapsulates the overall construction assembly sequence diagram. It aggregates seven types of data—the 3D anti-slide pile-slab wall system model file, the design pile coordinates and parameters of all anti-slide piles with pile identification codes, the design spatial coordinates and parameters of all precast retaining slabs with slab identification codes, and an installation correspondence mapping table—into a unified structured data object. This data is then serialized and encapsulated using JSON or SQLite database format to generate a single, parsable digital file: the overall construction assembly sequence diagram. This file serves as the sole data source for the entire subsequent production, construction, assembly, and operation and maintenance process, ensuring that each component is traceable and each installation is verifiable.

[0028] The present invention is further configured such that the anti-slide pile construction module specifically includes: Receive and parse the construction assembly sequence diagram to obtain the design pile location coordinates and pile body parameters of the anti-slide piles; Based on the designed pile coordinates, on-site measurements and drilling were conducted to prepare a reinforcing cage containing the first monitoring sensor. This cage was then lowered into the pile hole, and concrete was poured to form the pile structure. The first monitoring sensor includes strain sensors and tilt sensors deployed at key stress sections of the pile, and an identification code chip deployed at the top of the pile. Specifically, the overall construction assembly sequence diagram is an integrated digital file containing a three-dimensional anti-slide pile-slab wall system model, the designed pile coordinates and pile body parameters of all anti-slide piles, design information for all precast retaining walls, and installation logic. The designed pile coordinates represent the three-dimensional position of the center point of each anti-slide pile in a unified engineering coordinate system, and the pile body parameters include pile length, pile diameter, and reinforcement parameters. The first monitoring sensor refers to the sensing device pre-embedded in the pile body for long-term monitoring, which includes at least a strain sensor and an inclination sensor. The strain sensor is a vibrating wire or fiber optic grating device that measures the micro-strain inside the concrete, and the inclination sensor is a device that measures the tilt angle based on microelectromechanical systems technology. The key stress sections of the pile body are determined based on the design results of the digital modeling unit, and are usually preset as follows: the section 1.5 meters below the pile top, the sections at the upper and lower edges of the potential sliding surface passing through the pile body, and the section 2.5 meters above the pile bottom. The specific implementation process is as follows: First, the on-site construction management terminal receives and parses the overall construction sequence diagram, extracting the unique pile identification code, design pile coordinates, and pile length and diameter parameters for each anti-slide pile within the construction area. Next, surveying and setting out are conducted. Using real-time dynamic differential measurement technology or a total station, the design pile coordinates are input into the surveying equipment, and the precise center point of each anti-slide pile is measured and marked on the ground. Then, drilling is performed. Based on the design pile diameter and length, a rotary drilling rig or impact drilling rig is used to drill to the design depth at the marked location. During the drilling process, the verticality deviation is controlled to be less than 1%. After drilling is completed, the sediment at the bottom of the hole is removed. Simultaneously with hole formation, a reinforcing cage containing the first monitoring sensor is fabricated at the processing yard. The reinforcing cage is tied according to the design reinforcement parameters, and sensors are installed simultaneously: based on the key stress section positions of the pile body defined in the construction assembly sequence diagram or related design documents, strain sensors are symmetrically welded or tied to the main reinforcement of the corresponding section (usually 4 per section), and tilt sensors are fixed to the main reinforcement near the pile center; the signal wires of all sensors are laid along the main reinforcement and fixed with cable ties, then collected and protected by corrugated pipes, extending 1.5 meters beyond the design elevation of the pile top from the top of the reinforcing cage. A crane is then used to lift the reinforcing cage into the pile hole, ensuring the cage center is aligned and the top elevation meets the design requirements. Finally, concrete is poured to form the pile structure, specifically using the tremie pipe method. The initial bottom of the tremie pipe is 30 to 50 centimeters from the bottom of the hole. During concrete pouring, the tremie pipe is always buried between 2 and 6 meters deep in the concrete. Pouring is continuous, avoiding sensors and wires during vibration, until the design pile top elevation is reached. An identification code chip is then placed on the pile top. After pouring, the extended sensor wires are temporarily protected, and the initial readings are recorded.The entire construction process resulted in a physical anti-slide pile structure that was consistent with the digital design coordinates, integrated the first monitoring sensor, and had a unique identification code.

[0029] The present invention is further configured such that the production and binding module specifically includes: Receive plate identification codes and plate parameters from the construction assembly sequence diagram; Based on the slab parameters, a reinforced concrete retaining slab component with flower grooves is prefabricated in the prefabrication plant. Specifically, this includes: tying a steel reinforcement frame and pre-embedding a second monitoring sensor in a location where the slab is not easily damaged. The second monitoring sensor includes: an earth pressure sensor arranged on the back of the retaining slab and a displacement sensor inside the slab. Subsequently, formwork was erected, and during the concrete pouring process, identification chips containing the board's identification code were embedded into the components, with flower troughs reserved for hanging the components. After the retaining wall components are cured, a machine-readable identifier associated with an identification chip is set on the surface of the retaining wall. Specifically, the factory manufacturing execution system receives and parses the construction assembly sequence diagram, extracts the plate identification code and corresponding plate parameters related to the production task, prepares steel formwork based on the geometric dimensions and trough positioning in the plate parameters, and processes steel bars using CNC equipment according to the reinforcement parameters; the steel bars are tied into a retaining wall steel reinforcement skeleton on the tying platform, and a second monitoring sensor is pre-embedded simultaneously. The earth pressure sensor is arranged on the soil-facing side of the back of the retaining wall. A typical scheme is to install one sensor horizontally at the top, middle, and bottom of the plate height. The sensor is fixed to the main reinforcement with a welded bracket or high-strength binding strap to ensure that the load-bearing panel is flush with the surface of the skeleton. The displacement sensor is fixed to the main reinforcement in the central area inside the steel reinforcement skeleton, in a position that is not easily damaged by hoisting or collision. All sensor signal wires are laid along the inner side of the reinforcing steel frame and protected by corrugated metal pipes, and are led out from the pre-set exit points on the side of the frame. The reinforcing steel frame with the sensors installed is hoisted into a steel formwork coated with release agent, the formwork is closed and locked, and the fixing parts on the inner side of the formwork have formed grooves. Then, concrete is poured and the identification chip is embedded. Concrete that meets the design strength requirements is poured into the mold cavity. When the concrete is poured to about half the thickness of the slab, the operator uses a handheld reader to write the slab identification code, production date and batch number information of the component into the storage area of ​​an ultra-high frequency radio frequency identification chip. Then, the chip is pressed into the pre-set concrete at the predetermined position to ensure that the chip is completely embedded and the embedment depth is not less than 20 mm. After pouring, an attached vibrator is used for thorough compaction, taking care to avoid the sensor and chip locations. The component, along with the mold, is placed in a steam curing kiln and subjected to a standard curing cycle of "heating-constant temperature-cooling," with the constant temperature controlled between 55 and 65 degrees Celsius. The constant temperature time is determined based on the concrete mix proportion, typically 6 to 12 hours. After curing, the steel formwork is removed for demolding. On a pre-designed flat area on the surface of the retaining wall component, a QR code containing the component's identification code is permanently marked on the component surface using a laser marking machine or weather-resistant paint inkjet printing equipment. This QR code information is completely consistent with the identification code stored in the identification chip embedded in the concrete. Finally, the component dimensions, appearance, and sensor (including earth pressure sensor and displacement sensor) pathways are inspected, and the component, identification code, sensor calibration parameters, and chip identification code are entered into the product database to complete the establishment of a digital archive.

[0030] The present invention is further configured such that the intelligent assembly module specifically includes: Read the machine-readable markings on the surface of the precast retaining plate to be installed to obtain the plate identification code, and read the pile identification code of the corresponding anti-slide pile at the target installation location; The obtained plate identification code and pile identification code are compared and verified with the installation correspondence mapping table in the construction assembly sequence diagram; After verification, the hoisting path and positioning guidance information are generated based on the design spatial coordinates of the retaining plate components in the construction assembly sequence diagram. According to the guidance information, the retaining plate components are hoisted to the corresponding designed position between piles, and mechanically fixed to the anti-slide piles through the pre-embedded connectors; The assembly completion status information is associated with the corresponding component identification codes and uploaded to the backend management system platform. Specifically, assembly operators use an industrial-grade explosion-proof tablet computer to scan the QR code on the surface of the precast retaining plate to be installed, decode it to obtain the plate identification code; then they scan the identification codes on the left and right anti-slide piles at the target installation location to obtain the left pile identification code and the right pile identification code, respectively. The application on the tablet computer accesses the overall construction assembly sequence diagram via wireless network, extracts the installation correspondence mapping table, and uses the obtained plate identification codes as query keywords for search matching. The application performs a bidirectional consistency comparison between the corresponding left and right pile identification codes recorded in the mapping table and the two pile identification codes actually scanned on site; if they are completely consistent and the current installation sequence matches the vertical installation sequence number recorded in the mapping table, the verification is successful, the application interface displays a verification success prompt and proceeds to the guided steps; if they are inconsistent, the application immediately issues an audible and visual alarm and prevents subsequent operations. After successful verification, the application retrieves the design spatial coordinates bound to the identification code of this slab from the overall construction assembly sequence diagram. Combining the inertial measurement unit built into the tablet and real-time positioning data acquired by the total station connected via Bluetooth, the application calculates and generates the hoisting path and positioning guidance information. The tablet screen switches to a guidance interface, with a fixed 3D model representing the theoretical position of the retaining slab displayed in the center, overlaid with a dynamic cursor representing the real-time position of the hook and components. The interface displays text and arrows indicating position and attitude deviations in real time, such as "0.5 meters to the left" or "0.2 meters down." When the dynamic cursor and the 3D model coincide in position and attitude—that is, the planar position deviation is within ±20 mm, the elevation deviation within ±10 mm, and the tilt angle deviation within ±1 degree—the interface displays a positioning confirmation prompt. After the operator confirms the positioning, such as... Figure 3 and Figure 4As shown, the operator uses a torque wrench to align the pre-embedded sleeve of the retaining plate with the high-strength bolt implanted on the anti-slide pile, inserts it, and tightens the nut according to the design requirements. For the example M24 8.8 grade high-strength bolt, the preset final tightening torque is 800 N·m. The operation is completed in two steps: initial tightening and final tightening. The torque wrench emits a beep when the set value is reached. After mechanical fixing is completed, the operator clicks the assembly completion button on the tablet application. The application automatically generates an assembly completion status data packet, which includes: plate identification code, left and right pile identification codes, assembly completion timestamp, operator's employee number, and can optionally record the actual tightening torque value fed back by the smart torque wrench via Bluetooth. The tablet uploads the status information data packet to the backend management system platform via mobile network. After receiving the data, the backend management system platform updates the status of the relevant component to "installed" and permanently stores the installation record in the database.

[0031] The invention is further configured such that the monitoring and maintenance module specifically includes a safety assessment unit and an early warning unit. Specifically, the safety assessment unit is used to perform multi-level processing and analysis on the collected sensor data, calculate the dynamic stability index reflecting the overall safety status of the anti-slide pile wall system, and provide a quantitative basis for safety early warning; the early warning unit is used to compare the dynamic stability index with a preset threshold in real time, automatically trigger the corresponding level of early warning signal and execute related response measures, so as to realize real-time monitoring and proactive alarm of system risks.

[0032] The present invention is further configured such that the security assessment unit specifically includes: Raw data from the first and second monitoring sensors are collected and preprocessed. For each anti-slide pile and retaining plate, based on the pre-processed raw data, the component health monitoring data of each component is obtained by normalizing and weighted fusion calculation of the data from all sensors on the component. Based on the pile identification code and the corresponding slab identification code, the support subsystem components are combined, and the stability coefficient of the subsystem is calculated based on real-time health monitoring data, combined with the component health of the pile and the component health of the slab. By combining the stability coefficients of all subsystems, and using an evaluation model trained with historical data, the dynamic safety factor of the pile-slab wall system is obtained. Specifically, the safety assessment unit calculates the dynamic safety factor of the anti-slide pile-slab wall system (hereinafter referred to as 'system dynamic safety factor' for brevity) based on the monitoring data from the first and second monitoring sensors through a multi-level processing model. The first monitoring sensor refers to the strain sensor and tilt sensor embedded in the anti-slide pile; the second monitoring sensor refers to the earth pressure sensor and tilt sensor embedded in the precast retaining plate. The raw data consists of unprocessed electrical signals directly collected from the sensors. Preprocessing includes cleaning, filtering, removing outliers, and converting physical quantities according to sensor calibration parameters. Normalization involves converting physical quantity data from different sensors and with different dimensions into a unified dimensionless range of 0 to 1 according to preset rules. Weighted fusion calculation involves weighting and summing the normalized data from multiple sensors on the same component according to preset weighting coefficients. Component health monitoring data (i.e., component health) is also included. The stability coefficient is a value between 0 and 100, representing the health status of a single anti-slide pile or precast retaining wall panel, with 100 representing complete health. Real-time environmental monitoring data includes rainfall, groundwater level, and temperature data collected through on-site weather stations and water level gauges. The support subsystem is a collaborative force-bearing unit composed of an anti-slide pile and its corresponding one or more precast retaining walls. The stability coefficient of the subsystem is an index between 0 and 1, reflecting the stability of the subsystem. The dynamic safety factor of the pile-slab wall system is a comprehensive index between 0 and 100, reflecting the safety status of the entire system. The calculation process is divided into four progressive levels, with the specific calculation flow as follows: The first level is data acquisition and preprocessing: The safety assessment unit automatically collects raw data from all the first and second monitoring sensors at preset time intervals (e.g., every hour) via a wireless sensor network. Then, preprocessing is performed on the raw data: First, data cleaning is performed, removing outliers that significantly exceed reasonable ranges based on the sensor's design range; then, a moving average filtering algorithm is used to eliminate high-frequency noise in the data; next, based on the factory calibration curve of each sensor, the electrical signal is converted into physical quantities, such as converting frequency values ​​into micro-strain, voltage values ​​into earth pressure (kPa), and digital signals into tilt angles; finally, data at the same timestamp are aligned, and missing data points caused by temporary communication interruptions are supplemented using linear interpolation. The second level is the calculation of component health monitoring data (i.e., component health): The component health of each anti-slide pile and each precast retaining wall is calculated separately.For each sensor on the component, normalization is performed: The normal minimum value for the physical quantity of this sensor within the design allowable range is set as `min`, and the normal maximum value is set as `max`. The current pre-processed physical quantity value is `x`, then the normalized value = (x - min) / (max - min). If `x` is less than `min`, the normalized value is 0; if `x` is greater than `max`, the normalized value is 1. The `min` and `max` values ​​are determined based on the sensor's design specifications and historical operational statistics. After normalizing all sensor data, a weighted fusion calculation is performed. A preset weight is assigned to each sensor, reflecting its importance to the component's health. For example, the weight of the strain sensor on the anti-slide pile is preset to 0.5, and the weight of the tilt sensor is preset to 0.5; the weight of the earth pressure sensor on the retaining plate is preset to 0.6, and the weight of the tilt sensor is preset to 0.4. The component health score is calculated as 100 * (1 - Σ(normalized value of each sensor * weight of that sensor)). This formula ensures that when all sensor readings are within the normal range, the component health score is close to 100. The third level is the calculation of the stability coefficient of the subsystem. This process comprehensively considers component health monitoring data and environmental monitoring data: First, according to the installation correspondence mapping table in the construction assembly sequence diagram, each anti-slide pile and its corresponding precast retaining plate are combined into a support subsystem. Next, the stability coefficient of each subsystem is calculated. The component health of the anti-slide pile and the component health of the retaining plate in the subsystem are divided by 100 respectively, converted to a sub-health value of 0 to 1. Finally, the stability coefficient of the subsystem = (pile health value * pile weight + plate health value * plate weight). The pile weight and plate weight are preset according to their relative importance in the subsystem's stress, for example, the pile weight is taken as 0.7 and the plate weight is taken as 0.3. The fourth level is the calculation of the dynamic safety factor of the pile-slab wall system: This level integrates the stability coefficients of all subsystems and considers their spatial distribution and temporal variation trends. First, spatial uniformity is calculated: the standard deviation of the stability coefficients of all subsystems is determined; a smaller standard deviation indicates more uniform system stability. A preset mapping function is used to convert the standard deviation into a spatial uniformity coefficient between 0 and 1. For example, the coefficient is set to 1.0 when the standard deviation is less than 0.05, and 0.7 when the standard deviation is 0.15. Next, the temporal trend is analyzed: time series analysis is performed on the stability coefficient of each subsystem, calculating its linear change slope over the past 24 hours. The average slope of all subsystems is then taken as the overall trend value. This trend value is mapped to a trend coefficient between 0 and 1 using preset rules. For example, the coefficient is 1.0 when the trend value is greater than or equal to zero (stable or rising), and decreases linearly as the negative value increases when the trend value is less than zero. Finally, an evaluation model is used to synthesize the dynamic safety factor of the pile-slab wall system. This model can be a machine learning model (such as a random forest model) trained based on historical monitoring data. Its input features include: the stability coefficient, spatial uniformity coefficient, trend coefficient, and historical stability index sequence of each subsystem over the past 72 hours.The model output is the dynamic safety factor of the pile-slab wall system, ranging from 0 to 100. Before the model is put into use, a weighted synthesis method can be used as the initialization method: Dynamic safety factor of pile-slab wall system = 100 * (average value of stability coefficient of subsystem * weight A + spatial uniformity coefficient * weight B + trend coefficient * weight C), where the sum of weights A, B, and C is 1, which can be preset according to engineering experience, for example: 0.6, 0.2, and 0.2 respectively.

[0033] The present invention is further configured such that the early warning unit specifically includes: The dynamic safety factor of the pile-slab wall system calculated by the safety assessment unit is compared in real time with multiple preset numerical threshold ranges. Based on the comparison results, when the index falls into different threshold ranges, a corresponding level of early warning signal is automatically triggered, and preset response measures are executed. The early warning levels include: prompt, warning, and alarm. Specifically, the early warning unit receives the dynamic safety coefficient of the pile-slab wall system calculated by the safety assessment unit, performs real-time risk classification judgment, and triggers an automated response. The dynamic safety coefficient of the pile-slab wall system is a comprehensive parameter reflecting the overall safety status of the anti-slip pile-slab wall system, with a value range of 0 to 100. The higher the value, the safer the system. Multiple preset numerical threshold ranges are used to classify risk levels. In this embodiment, corresponding to the three early warning levels of the claims, three example ranges are defined: an index greater than or equal to 60 is the "prompt" range, an index greater than or equal to 40 and less than 60 is the "warning" range, and an index less than 40 is the "alarm" range. The early warning signal is a risk notification identifier of different levels automatically generated based on the range of the dynamic safety coefficient of the pile-slab wall system. The early warning levels are set to three levels: prompt, warning, and alarm. The response measures are a series of pre-set automated processing actions bound to each warning level. The system's management platform is a core software deployed on a server for centralized processing and display of warning status. The warning event record is a structured data entry in the system database used to completely record the entire process of a single warning. The warning unit continuously monitors the data stream from the safety assessment unit and receives the latest calculated dynamic safety factor of the pile-slab wall system in real time. Whenever a new dynamic safety factor value of the pile-slab wall system is received, the comparison logic within the unit is immediately activated. Through a numerical range judgment algorithm, the index is compared with a preset numerical threshold range. If the value of the dynamic safety factor of the pile-slab wall system is greater than or equal to 60, the system determines it to be at the "prompt" level and triggers a prompt-level warning signal; if the value is greater than or equal to 40 and less than 60, it is determined to be at the "warning" level and triggers a warning-level warning signal; if the value is less than 40, it is determined to be at the "alarm" level and triggers an alarm-level warning signal. After an early warning signal is generated, the system automatically calls and executes the pre-bound response scripts for that warning level. For the "Alert" level, the response measures include: marking the entire slope model in green (representing a low-risk state) on the system's management platform visualization interface; automatically generating a brief report containing index trends and storing it in the database; and temporarily increasing the sensor data collection frequency for the relevant area from the usual 1 time / hour to 1 time / 30 minutes for 24 hours. For the "Warning" level, the response measures include: displaying an orange warning pop-up window on the management platform interface with an audible alert; automatically sending warning SMS messages and detailed warning emails to 2-3 pre-set on-site and technical personnel via SMS gateway and email server; increasing the system-wide monitoring frequency to 1 time / 15 minutes; and automatically generating a drone or manual inspection task sheet and pushing it to the inspection module.The response measures for the "alarm" level include: the management platform interface continuously flashing red and emitting an urgent alarm sound; immediately notifying all pre-set emergency team members via SMS, telephone voice calls, and in-app push notifications; automatically retrieving and highlighting the emergency plan document for the current slope in the platform; increasing the monitoring frequency to the highest level of 1 time / 5 minutes; and automatically summarizing the latest data, historical trends, and relevant component information to generate an emergency report for emergency decision-making. Simultaneously with the initiation of the response measures, the system automatically creates an early warning event record, detailing the unique early warning number, the triggered early warning level, the trigger time, the dynamic safety factor of the pile-slab wall system at the time of triggering, a list of all implemented response measures, and their execution status. This record is permanently stored in the system database, forming a complete and traceable log. All notifications, reports, and status changes triggered by the early warning unit are updated and displayed in real time in the corresponding modules of the management platform.

[0034] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A digitally intelligent assembled anti-slide pile-slab wall system, characterized in that, include: Modeling and Coding Module: Based on the preset slope calculation data, an anti-slide pile-slab wall model is established, a unique code is generated for the anti-slide piles and precast retaining slabs, and the pile-slab correspondence is established to form a construction assembly sequence diagram; Anti-slide pile construction module: Based on the construction assembly sequence diagram, the anti-slide pile is drilled and poured, and the first monitoring sensor is pre-embedded on one side of the retaining part of the pile body; Production and binding module: prefabricate baffle components with flower grooves, and pre-embed a second monitoring sensor and a chip storing identity information inside the baffle components; Intelligent assembly module: Based on the identity information and construction assembly sequence diagram in the chip, it guides and verifies the on-site assembly of prefabricated baffle components and corresponding anti-slide piles; Monitoring and Maintenance Module: Collects sensor data from the first and second monitoring sensors, calculates the dynamic safety factor of the pile-slab wall system reflecting the system's safety status based on the sensor data, and issues early warning information based on the dynamic safety factor of the pile-slab wall system.

2. The intelligent assembly anti-slide pile-slab wall system according to claim 1, characterized in that, The modeling and coding module includes: a digital modeling unit and a construction drawing generation unit.

3. The intelligent assembly anti-slide pile-slab wall system according to claim 2, characterized in that, The digital modeling unit specifically includes: The slope calculation data includes: topographic measurement data obtained through remote sensing or ground mapping, and geological survey data obtained through exploration boreholes, in-situ testing and laboratory experiments; Based on slope calculation data, a three-dimensional anti-slide pile-slab wall system model representing the stratum distribution is generated using a BIM+geology integrated platform. In the three-dimensional anti-slide pile-plate wall system model, based on the Bishop method for slope calculation, the ratio of shear strength to shear stress along the sliding surface is calculated by trial calculation of potential sliding surfaces with different locations and shapes, thereby obtaining the safety factor of each potential sliding surface; Based on the safety factor, by comparing the safety factors of each potential sliding surface, the sliding surface with the smallest safety factor is identified as the most dangerous sliding surface, thereby completing the quantitative assessment of slope stability and determining the spatial location and geometric shape of the most dangerous sliding surface accordingly. Based on the stability assessment results and the pre-set retaining design requirements, a parametric design method is used to determine the pile position coordinates and pile body parameters of each anti-slide pile. The pile spacing, pile diameter, and pile foundation depth are set according to the most dangerous sliding surface. The design spatial coordinates and plate parameters of each precast retaining plate are determined in conjunction with the morphology. The pile body parameters include: pile length, pile diameter, reinforcement parameters and codes. The plate body parameters include: geometric dimensions, plate thickness, structural details and codes.

4. The intelligent assembly anti-slide pile-slab wall system according to claim 3, characterized in that, The construction drawing generation unit specifically includes: According to the preset coding rules, a unique pile identification code is assigned to the anti-slide piles that have completed parametric design, and a unique plate identification code is assigned to each precast retaining plate. Based on the physical characteristics of the slope, an installation correspondence mapping table is established between pile identification codes and slab identification codes; The mapping table of the installation correspondence between anti-slide piles with identification codes and precast retaining plates, as well as the design parameters and spatial coordinates of the components, are integrated and encapsulated to output a construction assembly sequence diagram. The construction assembly sequence diagram specifically includes: pile identification codes, design pile position coordinates and pile parameters of anti-slide piles, plate identification codes, design spatial coordinates and plate parameters of precast retaining plates, and installation correspondence mapping table.

5. The intelligent prefabricated anti-slide pile-slab wall system according to claim 1, characterized in that, The anti-slide pile construction module specifically includes: Receive and parse the construction assembly sequence diagram to obtain the design pile location coordinates and pile body parameters of the anti-slide piles; Based on the designed pile location coordinates, on-site measurement and drilling are carried out to prepare a steel cage with the first monitoring sensor built in, and then lower it into the pile hole. Concrete is poured to form the pile structure. The first monitoring sensor includes: strain sensors and tilt sensors deployed on the key stress sections of the pile body, and an identification code chip deployed on the top of the pile.

6. The intelligent assembly anti-slide pile-slab wall system according to claim 1, characterized in that, The production and binding module specifically includes: Receive plate identification codes and plate parameters from the construction assembly sequence diagram; Based on the slab parameters, a reinforced concrete retaining slab component with flower grooves is prefabricated in the prefabrication plant. Specifically, this includes: tying a steel reinforcement frame and pre-embedding a second monitoring sensor in a location where the slab is not easily damaged. The second monitoring sensor includes: an earth pressure sensor arranged on the back of the retaining slab and a displacement sensor inside the slab. Subsequently, formwork was erected, and during the concrete pouring process, identification chips containing the board's identification code were embedded into the components, with flower troughs reserved for hanging the components. After the retaining wall components are cured, a machine-readable identifier associated with the identity chip is set on the surface of the retaining wall.

7. The intelligent assembly anti-slide pile-slab wall system according to claim 1, characterized in that, The intelligent assembly module specifically includes: Read the machine-readable markings on the surface of the precast retaining plate to be installed to obtain the plate identification code, and read the pile identification code of the corresponding anti-slide pile at the target installation location; The obtained plate identification code and pile identification code are compared and verified with the installation correspondence mapping table in the construction assembly sequence diagram; After verification, the hoisting path and positioning guidance information are generated based on the design spatial coordinates of the retaining plate components in the construction assembly sequence diagram. According to the guidance information, the retaining plate components are hoisted to the corresponding designed position between piles, and mechanically fixed to the anti-slide piles through the pre-embedded connectors; The assembly completion status information is associated with the corresponding component identification code and uploaded to the backend management system platform.

8. The intelligent assembly anti-slide pile-slab wall system according to claim 1, characterized in that, The monitoring and maintenance module specifically includes a security assessment unit and an early warning unit.

9. The intelligent assembly anti-slide pile-slab wall system according to claim 8, characterized in that, The security assessment unit specifically includes: Raw data from the first and second monitoring sensors are collected and preprocessed. For each anti-slide pile and retaining plate, based on the pre-processed raw data, the component health monitoring data of each component is obtained by normalizing and weighted fusion calculation of the data from all sensors on the component. Based on the pile identification code and the corresponding slab identification code, the support subsystem components are combined, and the stability coefficient of the subsystem is calculated based on real-time health monitoring data, combined with the component health of the pile and the component health of the slab. By combining the stability coefficients of all subsystems, and using an evaluation model trained with historical data, the dynamic safety factor of the pile-slab wall system is obtained.

10. The intelligent assembly anti-slide pile-slab wall system according to claim 9, characterized in that, The early warning unit specifically includes: The dynamic safety factor of the pile-slab wall system calculated by the safety assessment unit is compared in real time with multiple preset numerical threshold ranges. Based on the comparison results, when the index falls into different threshold ranges, the corresponding level of warning signal is automatically triggered, and preset response measures are executed. The warning levels include: prompt, warning, and alarm.

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