Intelligent construction system and method for large bridge anchorage underground continuous wall
By collecting and analyzing data in real time through an intelligent construction system, the manufacturing and construction processes of concrete, steel cages, and precast components are automatically controlled, solving the problems of quality control and low efficiency in the construction of underground continuous walls for large bridge anchorages, and achieving efficient and safe construction management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CCCC SECOND HARBOR ENGINEERING CO LTD
- Filing Date
- 2023-02-16
- Publication Date
- 2026-04-28
AI Technical Summary
The construction of diaphragm walls for anchorage foundations of large suspension bridges faces challenges such as difficulty in controlling construction quality, low production efficiency, and difficulties in scheduling and management. Existing technologies cannot effectively solve these problems, especially when the scale is large and the number of working faces is numerous.
An intelligent construction system is adopted, including an engineering data module, a resource allocation module, a data intelligent analysis module, and a manufacturing control module. Through real-time data acquisition and analysis, it automatically issues construction control commands to realize intelligent control of processes such as automatic manufacturing of concrete, steel cages and precast components, trenching, steel structure installation, and concrete pouring.
Intelligent management of the construction of underground continuous walls for large bridge anchorages has been realized, which has improved construction efficiency, ensured construction quality and safety, reduced construction period, and reduced project quality risks.
Smart Images

Figure CN116342323B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of intelligent construction of diaphragm walls for large bridge anchorages. More specifically, this invention relates to an intelligent construction system and method for diaphragm walls for large bridge anchorages. Background Technology
[0002] Anchorages are the core foundation components of suspension bridges. Diaphragm walls, serving as water-cutting, seepage-proof, load-bearing, and water-retaining structures, offer advantages such as high efficiency, short construction period, reliable quality, and high economic benefits, and are widely used in bridge anchorage foundations. The construction method for diaphragm walls involves using trenching machinery on the ground to excavate a long, narrow trench along the axis under slurry wall protection. A reinforcing cage is then suspended within the trench, and underwater concrete is poured using the tremie method to form a unit trench segment. This process is repeated segment by segment to construct a continuous reinforced concrete wall underground.
[0003] The construction of diaphragm walls mainly consists of four steps: prefabrication, trenching, steel structure lowering and installation, and concrete pouring. Diaphragm walls for large suspension bridge anchorage foundations are generally large in scale and size, and are divided into multiple trenches for segmented construction. There are many quality control points in the construction process of each trench, and the overall construction scheduling and management are difficult, which can easily lead to ineffective control of construction quality and affect the service life of the diaphragm wall.
[0004] Current domestic and international practices primarily rely on on-site command and dispatch, manual operation of machinery and equipment, and manual data recording, which are unsuitable for large-scale diaphragm wall projects with numerous working faces. The intelligent construction system for bridge anchorage diaphragm walls can solve problems such as low construction efficiency, difficulty in production scheduling and control, and high project quality risks. Summary of the Invention
[0005] To achieve these objectives and other advantages according to the present invention, in one aspect, a preferred embodiment of the present invention provides an intelligent construction system for large-scale bridge anchorage diaphragm walls, comprising an engineering data module, a resource allocation module, a data intelligent analysis module, and a manufacturing control module; wherein...
[0006] The engineering data module is used to store, update, and output drawings, construction schedules, construction organization designs, and quality standard information related to the engineering project.
[0007] The resource configuration module is used to receive and output relevant resource information for the management of various personnel, construction machinery and equipment, and materials.
[0008] The data intelligent analysis module is used to receive data information from the engineering data module and the resource configuration module, and to comprehensively analyze the above data based on the engineering management intelligent algorithm to obtain analysis results, and to issue manufacturing control commands based on the analysis results;
[0009] The manufacturing control module is used to receive manufacturing control instructions from the data intelligent analysis module, and connect to the equipment control system related to the manufacturing of concrete, steel cages and precast components, automatically complete the specified manufacturing work, and automatically transmit the manufacturing-related inspection data to the data intelligent analysis module.
[0010] Preferably, the intelligent construction system for the underground continuous wall of large bridge anchorages further includes a trenching control module;
[0011] The data intelligent analysis module is used to receive data from the engineering data module and the resource configuration module, and to comprehensively analyze the above data based on the engineering management intelligent algorithm to obtain the analysis results, and to issue trenching construction control instructions based on the analysis results;
[0012] The trenching control module is used to receive trenching construction control commands from the data intelligent analysis module, connect to the trenching construction equipment, automatically complete the specified trenching action, and automatically transmit the real-time trenching status and equipment real-time status data to the data intelligent analysis module.
[0013] Preferably, the intelligent construction system for the underground continuous wall of large bridge anchorages further includes an installation control module;
[0014] The data intelligent analysis module is used to receive data from the engineering data module and the resource configuration module, and to comprehensively analyze the above data based on the engineering management intelligent algorithm to obtain analysis results, and to issue construction control instructions for steel reinforcement components and steel structure installation based on the analysis results;
[0015] The installation control module is used to receive the steel reinforcement components and steel structure installation control instructions from the data intelligent analysis module, connect to the hoisting and installation equipment, automatically complete the specified hoisting and installation work of steel reinforcement components and steel structure, and transmit the real-time status data of hoisting and installation to the data intelligent analysis module.
[0016] Preferably, the intelligent construction system for underground continuous walls of large bridge anchorages further includes a pouring control module. The intelligent data analysis module is used to receive data from the engineering data module and the resource configuration module, and to comprehensively analyze the above data based on the intelligent engineering management algorithm to obtain analysis results, and to issue concrete pouring-related control commands based on the analysis results.
[0017] The pouring control module is used to receive concrete pouring-related control commands from the data intelligent analysis module, and connect to the control systems of equipment such as concrete mixing plants, placing booms, and curing machines to complete the specified concrete pouring and curing work, while transmitting concrete pouring and curing-related status data to the data intelligent analysis module.
[0018] On the other hand, a preferred embodiment of the present invention provides a construction method for a large-scale bridge anchorage underground continuous wall intelligent construction system, comprising the following steps:
[0019] Step S1: Establish an engineering database, sort out all data types related to the construction process of the diaphragm wall, establish input, analysis and processing, and output data tables, and formulate the database format and field type standards as the basis for data interaction.
[0020] Step S2: Read the project-related drawings, construction schedule, construction organization design and quality standard information from the project data module. This will determine the specific parameters of the project construction, the start and end times of each process, the construction quality indicators and parameter requirements, and serve as the basis for judging whether the construction process meets the quality and schedule requirements.
[0021] Step S3: Read the relevant resource information of various personnel, construction machinery and equipment and material management in the resource configuration module, thereby obtaining the various types and quantities of resources available for scheduling, as well as the quantities of various resources that have been consumed, as the basis for judging whether the scheduling instructions are met.
[0022] Step S4: Read the manufacturing data of concrete, steel reinforcement and precast components in the manufacturing control module to obtain the relevant manufacturing information that has been completed, as a basis for judging whether the installation and construction instructions are met.
[0023] Step S5: Read the trenching equipment information, trenching depth, trench wall verticality, and mud index parameters from the trenching control module, and obtain the current number of trenching construction equipment, operating status, completed trenching progress, and completed trenching quality as the basis for judging whether the trenching control command requirements are met.
[0024] Step S6: Read the equipment information of the hoisting and installation equipment and the attitude data of the rebar cage in the installation control module, and obtain the current three-dimensional coordinates, aerial attitude and equipment operating status of the rebar cage as the basis for judging whether the installation control command requirements are met.
[0025] Step S7: Read the pouring equipment information, concrete liquid level height and other data in the pouring control module, and obtain parameters such as the volume of concrete poured in the current trench section, pouring speed, pouring progress and guide pipe height, as the basis for judging whether the pouring control command requirements are met.
[0026] Step S8: Based on the process status and real-time data of each section of the diaphragm wall, determine whether the construction progress and quality of the section meet the requirements of the schedule plan and quality indicators. When deviations occur or the plan is optimized, comprehensively analyze whether the data of each module meets the requirements of the optimal construction instructions, and send the instructions to the manufacturing control module, trenching control module, installation control module, and pouring control module to control each construction link and achieve the purpose of intelligent construction.
[0027] Preferably, the following operations are performed after step S8:
[0028] After the manufacturing control module, trenching control module, installation control module, and pouring control module have completed their actions, the corrected data collected by each module is read again. This data is then integrated, analyzed, processed, and uploaded to the engineering database to update the engineering database.
[0029] Preferably, the manufacturing data in step S4 includes quantity, type, size, material properties, and quality inspection.
[0030] The present invention has at least the following beneficial effects: The present invention covers the entire construction process of underground continuous wall for bridge anchorages, and can automatically analyze real-time collected data, automatically identify the current construction conditions and quality indicators, obtain construction equipment decision instructions by comparing with dynamic indicators, and interconnect with on-site construction equipment to control the equipment to complete the construction action.
[0031] (1) Intelligent analysis and decision-making during construction: The isolated and scattered construction work surface data are integrated into the cloud server. Based on the on-site resource data and construction schedule, the intelligent decision-making program built into the server comprehensively analyzes the data on progress, resources, quality, etc., and automatically derives the optimal construction control instructions. When there are many underground continuous wall work surfaces and a large number of on-site construction personnel and machinery, the decision-making can be effectively centralized to realize the intelligent construction process.
[0032] (2) Real-time control of trenching construction: During the trenching operation of the underground continuous wall, the trenching progress and quality data such as trenching depth and trench wall verticality can be obtained in real time. The trenching equipment can be detected and corrected in real time without pausing construction, which reduces the construction period while ensuring the accuracy of trenching.
[0033] (3) Real-time control of steel structure installation: Real-time acquisition of equipment information such as crawler cranes and leveling jacks, automatic identification based on steel structure tilt data, and control data such as path planning, hoisting target and leveling stroke for the equipment according to the received intelligent decision instructions, so as to control the equipment to complete the predetermined actions and reduce the quality and safety risks of hoisting and installation construction.
[0034] (4) Real-time control of concrete pouring: Real-time acquisition of concrete manufacturing, pouring and curing data, and dynamic control information for concrete placing machine, curing machine and pouring equipment based on received intelligent decision instructions, changing from manual control to automatic control, connecting various equipment to complete concrete construction actions according to the process, improving the connection efficiency of each process, and real-time control of concrete pouring progress and quality.
[0035] Other advantages, objectives and features of the present invention will become apparent in part from the following description, and in part from those skilled in the art through study and practice of the invention. Attached Figure Description
[0036] Figure 1 This is a schematic diagram of the intelligent construction system for underground continuous walls of large bridge anchorages in this invention. Detailed Implementation
[0037] The present invention will now be described in further detail with reference to the accompanying drawings, so that those skilled in the art can implement it based on the description.
[0038] The following description is intended to disclose the present invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious modifications will occur to those skilled in the art. The basic principles of the invention defined in the following description can be applied to other embodiments, modifications, improvements, equivalents, and other technical solutions that do not depart from the spirit and scope of the invention.
[0039] Those skilled in the art should understand that, in the disclosure of this invention, the terms "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, the above terms should not be construed as limiting this invention.
[0040] It is understood that the term "a" should be understood as "at least one" or "one or more", that is, in one embodiment, the number of an element can be one, while in another embodiment, the number of the element can be multiple, and the term "a" should not be understood as a limitation on the number.
[0041] like Figure 1 As shown, in one aspect, a preferred embodiment of the present invention provides an intelligent construction system for large-scale bridge anchorage diaphragm walls, including an engineering data module, a resource allocation module, a data intelligent analysis module, and a manufacturing control module; wherein,
[0042] The engineering data module is used to store, update, and output drawings, construction schedules, construction organization designs, and quality standard information related to engineering projects, providing a theoretical basis for the data intelligent analysis module.
[0043] The resource configuration module is used to receive and output relevant resource information on personnel, construction machinery and equipment and material management, and to provide the data intelligent analysis module with relevant basis for engineering resource scheduling.
[0044] The resource configuration module includes the following components: Personnel scheduling, Equipment allocation, and Material management. Personnel scheduling includes the type, number, and personal information of production personnel. Instructions can be sent to add, remove, or move various types of production personnel to different work sections. Equipment allocation includes the type, quantity, and parameters of production machinery. Instructions can be sent to add, remove, or move various types of production machinery to different work sections. Material management includes the type, quantity, and parameters of production materials. Instructions can be sent to add or remove various types of materials to different work sections.
[0045] The data intelligent analysis module receives data information from the engineering data module and the resource configuration module, and comprehensively analyzes the above data based on the engineering management intelligent algorithm to obtain analysis results, and issues manufacturing control commands based on the analysis results;
[0046] The manufacturing control module receives manufacturing control commands from the data intelligent analysis module and connects to the equipment control systems related to concrete, steel cage, and precast component manufacturing. It automatically completes the specified manufacturing work and automatically transmits manufacturing-related inspection data to the data intelligent analysis module.
[0047] The manufacturing control module contains construction deviations, including schedule deviations and quality deviations. For schedule deviations, corrective measures include increasing raw material supply, increasing production equipment, increasing production personnel, and increasing transportation vehicles. For quality deviations, corrective measures include adjusting manufacturing machinery parameters, adjusting raw material parameters, and adjusting dimensional accuracy errors. The corresponding manufacturing control instructions issued by the data intelligent analysis module are: engineering resource scheduling, machinery and equipment correction control, and production and manufacturing parameter adjustment.
[0048] The manufacturing control module includes three major modules: concrete manufacturing, rebar cage manufacturing, and precast component manufacturing. (1) Concrete manufacturing: connects to concrete production equipment, including concrete mixing plants, mixers, pump trucks, etc., and dynamically reads and outputs concrete production instructions, including information such as concrete mix proportion, volume, transportation volume, pumping volume, and location of the transportation work surface, to provide quality inspection information for the intelligent analysis module. (2) Rebar cage manufacturing: connects to rebar cage manufacturing equipment and measuring equipment. The manufacturing equipment includes rebar cage forming, bending, and welding equipment, and dynamically reads and outputs rebar cage manufacturing instructions, including information such as rebar cage manufacturing parameters, material properties, type, quantity, and location of the transportation work surface. The measuring equipment includes automatic measuring equipment such as 3D laser scanners and automatic scanning robots, and dynamically reads rebar cage manufacturing accuracy data, mainly rebar cage size information, to provide quality inspection information for the intelligent analysis module. (3) Precast component manufacturing: Precast components refer to pre-made components such as steel structure joint boxes. Connect precast component manufacturing equipment and measuring equipment to dynamically read and output precast component manufacturing instructions, including precast component manufacturing parameters, material properties, type, quantity, transportation work site location, etc., to provide manufacturing and quality inspection information for the intelligent analysis module.
[0049] In another embodiment, the intelligent construction system for the underground continuous wall of large bridge anchorages further includes a trenching control module;
[0050] The data intelligent analysis module is used to receive data from the engineering data module and the resource configuration module, and to comprehensively analyze the above data based on the engineering management intelligent algorithm to obtain the analysis results, and to issue trenching construction control instructions based on the analysis results;
[0051] The trenching control module receives trenching construction control commands from the data intelligent analysis module, connects to the trenching construction equipment, automatically completes the specified trenching action, and automatically transmits the real-time trenching status and equipment real-time status data to the data intelligent analysis module.
[0052] The construction deviations in the trenching construction module include schedule deviations and quality deviations. For schedule deviations, corrective measures include increasing the number of trenching machines, increasing the working time of the trenching machines, and increasing the number of production personnel. For quality deviations, corrective measures include adjusting the parameters of the trenching machines, adjusting the trenching plane position, adjusting the trenching depth, and adjusting the mud preparation parameters. The corresponding manufacturing control commands issued by the trenching control module are: engineering resource adjustment of machinery and equipment for deviation correction control, adjustment of the trenching working face, and adjustment of mud preparation parameters.
[0053] The manufacturing control module includes three main parts: automatic trenching, slurry preparation, and trench wall inspection. (1) Automatic trenching: Connects to equipment such as trenching machine and trenching machine, reads equipment operating data such as speed, head depth, and offset, and sends control commands to the equipment, such as adjusting the head plane position, equipment plane position, head lifting or lowering height, and equipment speed. This allows the trenching accuracy to be adjusted to the target range. (2) Slurry preparation: Connects to slurry preparation equipment, reads real-time slurry parameter data such as specific gravity, viscosity, pH value, and sand content, and sends control commands to the equipment, such as increasing water volume or slurry volume and adjusting stirring speed. This allows the slurry parameters to be adjusted to the target range. (3) Trench wall inspection: Connects to trench wall inspection equipment, mainly a trench wall detector, and reads trenching construction inspection results such as trench wall verticality, trenching depth, average trench width, and sediment thickness. This provides quality inspection information for the intelligent analysis module.
[0054] In another embodiment, the intelligent construction system for the underground continuous wall of large bridge anchorages further includes an installation control module;
[0055] The data intelligent analysis module is used to receive data from the engineering data module and the resource configuration module, and to comprehensively analyze the above data based on the engineering management intelligent algorithm to obtain analysis results, and to issue construction control instructions for steel reinforcement components and steel structure installation based on the analysis results;
[0056] The installation control module receives the steel reinforcement and steel structure installation control commands from the data intelligent analysis module, connects to the hoisting and installation equipment, automatically completes the specified hoisting and installation of steel reinforcement and steel structure, and transmits the real-time status data of the hoisting and installation to the data intelligent analysis module.
[0057] The construction deviations present in the installation control module include schedule deviations and quality deviations. For schedule deviations, corrective measures include increasing the number of installation machines, increasing their operating time, and increasing the number of production personnel. For quality deviations, corrective measures include adjusting the operation of hoisting equipment, adjusting the operation of leveling equipment, and adjusting installation parameters. The corresponding manufacturing control commands issued by the trenching control module are: engineering resource scheduling, mechanical equipment correction control, and installation parameter adjustment.
[0058] The installation control module includes three main parts: automatic hoisting, steel structure leveling, and steel structure installation. (1) Automatic hoisting: Connects to hoisting equipment such as crawler cranes, reads the real-time operating data of the cranes, and sends control commands to the equipment, such as the direction and speed of the crane, the swing angle of the boom, the luffing of the overhead crane, and the lifting height. This allows the hoisted object to be adjusted to the target position and posture. (2) Steel structure leveling: Connects to jacking equipment such as leveling jacks, reads the real-time operating data of the equipment, and sends control commands to the equipment, such as the tilt angle, the cylinder pressure, and the jack stroke. This allows the posture of the steel cage to be adjusted to the target range. (3) Steel structure installation: Connects to the steel structure joint device, reads the real-time operating data of the device, and sends control commands to the device, such as the pressure, stroke, and stress data. This allows the joint of the steel cage to be adjusted to meet the requirements.
[0059] In another embodiment, the intelligent construction system for underground continuous walls of large bridge anchorages further includes a pouring control module. The intelligent data analysis module is used to receive data from the engineering data module and the resource configuration module, and to comprehensively analyze the above data based on the intelligent engineering management algorithm to obtain analysis results, and to issue concrete pouring-related control commands based on the analysis results.
[0060] The pouring control module receives concrete pouring-related control commands from the data intelligent analysis module and connects to the control systems of equipment such as concrete mixing plants, placing booms, and curing machines to complete the specified concrete pouring and curing work. At the same time, it transmits concrete pouring and curing-related status data to the data intelligent analysis module.
[0061] The construction deviations present in the pouring control module include schedule deviations and quality deviations. For schedule deviations, corrective measures include increasing the number of pouring equipment, increasing the concrete supply, and increasing the number of production personnel. For quality deviations, corrective measures include adjusting the height of the tremie pipe and adjusting the pouring speed and depth. The corresponding manufacturing control commands issued by the trenching control module are: engineering resource scheduling and mechanical equipment correction control.
[0062] The installation control module includes duct control and concrete pouring. (1) Duct control: connects to the duct height control device, reads the real-time height data of the duct, sends real-time control commands, controls the installation and disassembly of the duct, thereby adjusting the duct height within the target range. (2) Concrete pouring: connects to the concrete pouring and monitoring equipment. The pouring equipment includes pump trucks, pouring machines, vibrators, etc., and sends real-time control commands to adjust the concrete pouring volume and speed. The monitoring equipment includes a concrete liquid level monitoring device, which reads the real-time concrete liquid level data in real time and provides progress data for the intelligent analysis module.
[0063] On the other hand, a preferred embodiment of the present invention provides a construction method for a large-scale bridge anchorage underground continuous wall intelligent construction system, comprising the following steps:
[0064] Step S1: Establish an engineering database, sort out all data types related to the construction process of the diaphragm wall, establish input, analysis and processing, and output data tables, and formulate the database format and field type standards as the basis for data interaction.
[0065] Step S2: Read the project-related drawings, construction schedule, construction organization design and quality standard information from the project data module. This will determine the specific parameters of the project construction, the start and end times of each process, the construction quality indicators and parameter requirements, and serve as the basis for judging whether the construction process meets the quality and schedule requirements.
[0066] Step S3: Read the relevant resource information of various personnel, construction machinery and equipment and material management in the resource configuration module, thereby obtaining the various types and quantities of resources available for scheduling, as well as the quantities of various resources that have been consumed, as the basis for judging whether the scheduling instructions are met.
[0067] Step S4: Read the manufacturing data of concrete, steel reinforcement and precast components in the manufacturing control module to obtain the relevant manufacturing information that has been completed, as a basis for judging whether the installation and construction instructions are met.
[0068] Step S5: Read the trenching equipment information, trenching depth, trench wall verticality, and mud index parameters from the trenching control module, and obtain the current number of trenching construction equipment, operating status, completed trenching progress, and completed trenching quality as the basis for judging whether the trenching control command requirements are met.
[0069] Step S6: Read the equipment information of the hoisting and installation equipment and the attitude data of the rebar cage in the installation control module, and obtain the current three-dimensional coordinates, aerial attitude and equipment operating status of the rebar cage as the basis for judging whether the installation control command requirements are met.
[0070] Step S7: Read the pouring equipment information, concrete liquid level height and other data in the pouring control module, and obtain parameters such as the volume of concrete poured in the current trench section, pouring speed, pouring progress and guide pipe height, as the basis for judging whether the pouring control command requirements are met.
[0071] Step S8: Based on the process status and real-time data of each section of the diaphragm wall, determine whether the construction progress and quality of the section meet the requirements of the schedule plan and quality indicators. When deviations occur or the plan is optimized, comprehensively analyze whether the data of each module meets the requirements of the optimal construction instructions, and send the instructions to the manufacturing control module, trenching control module, installation control module, and pouring control module to control each construction link and achieve the purpose of intelligent construction.
[0072] In another embodiment, the following operations are continued after step S8:
[0073] After the manufacturing control module, trenching control module, installation control module, and pouring control module have completed their actions, the corrected data collected by each module is read again. This data is then integrated, analyzed, processed, and uploaded to the engineering database to update the engineering database.
[0074] In another embodiment, the manufacturing data in step S4 includes quantity, type, size, material properties, and quality inspection.
[0075] Although embodiments of the present invention have been disclosed above, they are not limited to the applications listed in the specification and embodiments. They can be applied to various fields suitable for the present invention. For those skilled in the art, other modifications can be easily made. Therefore, without departing from the general concept defined by the claims and their equivalents, the present invention is not limited to the specific details and illustrations shown and described herein.
Claims
1. A smart construction system for underground continuous walls of large bridge anchorages, characterized in that, It includes an engineering data module, a resource allocation module, a data intelligence analysis module, and a manufacturing control module; among which, The engineering data module is used to store, update, and output drawings, construction schedules, construction organization designs, and quality standard information related to the engineering project. The resource configuration module is used to receive and output relevant resource information for the management of various personnel, construction machinery and equipment, and materials. The data intelligent analysis module is used to receive data information from the engineering data module and the resource configuration module, and to comprehensively analyze the above data based on the engineering management intelligent algorithm to obtain analysis results, and to issue manufacturing control commands based on the analysis results; The manufacturing control module is used to receive manufacturing control instructions from the data intelligent analysis module, and connect to the equipment control system related to the manufacturing of concrete, steel cage and precast components, automatically complete the specified manufacturing work, and automatically transmit the manufacturing-related inspection data to the data intelligent analysis module. The manufacturing control module comprises three main modules: concrete manufacturing, rebar cage manufacturing, and precast component manufacturing. Concrete manufacturing connects to concrete production equipment, including concrete mixing plants, mixers, and pump trucks. It dynamically reads and outputs concrete production instructions, including concrete mix proportions, volume, transport volume, pumping volume, and the location of the transport work surface, providing manufacturing and quality inspection information for the intelligent analysis module. Rebar cage manufacturing connects to rebar cage manufacturing equipment and measuring equipment. The manufacturing equipment includes rebar cage forming, bending, and welding equipment. It dynamically reads and outputs rebar cage manufacturing instructions, including manufacturing parameters, material properties, type, quantity, and the location of the transport work surface. The measuring equipment includes a 3D laser scanner and an automatic scanning robot, dynamically reading rebar cage manufacturing accuracy data, including rebar cage dimensional information. Precast component manufacturing connects to precast component manufacturing equipment and measuring equipment. It dynamically reads and outputs precast component manufacturing instructions, including manufacturing parameters, material properties, type, quantity, and the location of the transport work surface, providing manufacturing and quality inspection information for the intelligent analysis module.
2. The intelligent construction system for underground continuous walls of large bridge anchorages according to claim 1, characterized in that, Further includes a trenching control module; The data intelligent analysis module is used to receive data from the engineering data module and the resource configuration module, and to comprehensively analyze the above data based on the engineering management intelligent algorithm to obtain the analysis results, and to issue trenching construction control instructions based on the analysis results; The trenching control module is used to receive trenching construction control commands from the data intelligent analysis module, connect to the trenching construction equipment, automatically complete the specified trenching action, and automatically transmit the real-time trenching status and equipment real-time status data to the data intelligent analysis module.
3. The intelligent construction system for underground continuous walls of large bridge anchorages according to claim 1, characterized in that, This further includes installing a control module; The data intelligent analysis module is used to receive data from the engineering data module and the resource configuration module, and to comprehensively analyze the above data based on the engineering management intelligent algorithm to obtain analysis results, and to issue control instructions for the installation and construction of steel reinforcement components and steel structures based on the analysis results; The installation control module is used to receive the steel reinforcement components and steel structure installation control instructions from the data intelligent analysis module, connect to the hoisting and installation equipment, automatically complete the specified hoisting and installation work of steel reinforcement components and steel structure, and transmit the real-time status data of hoisting and installation to the data intelligent analysis module.
4. The intelligent construction system for underground continuous walls of large bridge anchorages according to claim 1, characterized in that, It further includes a pouring control module, the data intelligent analysis module, which is used to receive data from the engineering data module and the resource configuration module, and to comprehensively analyze the above data based on the engineering management intelligent algorithm to obtain the analysis results, and to issue concrete pouring related control commands according to the analysis results; The pouring control module is used to receive concrete pouring-related control commands from the data intelligent analysis module, and connect to the control systems of the concrete mixing plant, placing boom, and curing machine to complete the specified concrete pouring and curing work, while transmitting concrete pouring and curing-related status data to the data intelligent analysis module.
5. A construction method for a large-scale bridge anchorage underground continuous wall intelligent construction system according to any one of claims 1-4, characterized in that, Includes the following steps: Step S1: Establish an engineering database, sort out all data types related to the construction of diaphragm walls, establish input, analysis and processing, and output data tables, and formulate database entry formats and field type standards as the basis for data interaction. Step S2: Read the project-related drawings, construction schedule, construction organization design and quality standard information from the project data module. This will determine the specific construction parameters, start and finish times of each process, construction quality indicators and parameter requirements, which will serve as the basis for judging whether the construction process meets the quality and schedule requirements. Step S3: Read the relevant resource information of various personnel, construction machinery and equipment and material management in the resource configuration module, thereby obtaining the various types and quantities of resources available for scheduling, as well as the quantities of various resources that have been consumed, as the basis for judging whether the scheduling instructions are met. Step S4: Read the manufacturing data of concrete, steel reinforcement and precast components in the manufacturing control module to obtain the relevant manufacturing information that has been completed, as a basis for judging whether the installation and construction instructions are met. Step S5: Read the trenching equipment information, trenching depth, trench wall verticality, and mud index parameters from the trenching control module, and obtain the current number of trenching construction equipment, operating status, completed trenching progress, and completed trenching quality as the basis for judging whether the trenching control command requirements are met. Step S6: Read the equipment information of the hoisting and installation equipment and the attitude data of the rebar cage in the installation control module, and obtain the current three-dimensional coordinates, aerial attitude and equipment operating status of the rebar cage as the basis for judging whether the installation control command requirements are met. Step S7: Read the pouring equipment information and concrete liquid level data in the pouring control module, and obtain the current concrete pouring volume, pouring speed, pouring progress and guide pipe height parameters of the current trench section, as the basis for judging whether the pouring control command requirements are met. Step S8: Based on the process status and real-time data of each section of the diaphragm wall, determine whether the construction progress and quality of the section meet the requirements of the schedule plan and quality indicators. When deviations occur or the plan is optimized, comprehensively analyze whether the data of each module meets the requirements of the optimal construction instructions, and send the instructions to the manufacturing control module, trenching control module, installation control module, and pouring control module to control each construction link and achieve the purpose of intelligent construction.
6. The intelligent construction system for underground continuous walls of large bridge anchorages as described in claim 5, characterized in that, Following step S8, the following operations are performed: After the manufacturing control module, trenching control module, installation control module, and pouring control module have completed their actions, the corrected data collected by each module is read again. This data is then integrated, analyzed, processed, and uploaded to the engineering database to update the engineering database.
7. The intelligent construction system for underground continuous walls of large bridge anchorages as described in claim 5, characterized in that, The manufacturing data in step S4 includes quantity, type, size, material properties, and quality inspection.
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