A Digital Twin Model Sand Table Interaction Method for Intelligent Construction Training Applications

Abstract

The present invention discloses a digital twin model sand table interaction method for intelligent construction training applications, which relates to the field of intelligent construction technology. The method includes collecting key data during the construction process from various data sources and performing data preprocessing; constructing a digital twin model and synchronously linking the digital twin model with the physical sand table; intelligently controlling the construction status and optimizing the construction organization. The method of the present invention ensures the comprehensiveness, accuracy, and consistency of construction data, provides high-quality basic data, realizes the dynamic visualization of the construction site status, improves the intuitiveness and real-time nature of construction management, ensures the real-time monitoring and refined management of the construction progress, structural information, and equipment operation conditions, reduces manual errors and safety hazards, can flexibly optimize the allocation of construction resources, and automatically adjusts construction strategies to ensure that anomalies during the construction process are promptly discovered and resolved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent construction, and particularly to a digital twin model sand table interaction method for intelligent construction training applications. Background Art

[0002] With the continuous development of informatization technology in the construction industry, digitization and intelligentization have gradually become the mainstream trends in construction management. Especially in the field of intelligent construction, digital twin technology, as a digital simulation method integrating the physical world and the virtual world, is widely used in stages such as building design, construction monitoring, and post-operation and maintenance. Through the synchronous update with the actual physical object, the digital twin model can reflect the state of the construction site in real time and provide accurate decision-making basis. With the maturity of big data and Internet of Things technologies, data collection and real-time monitoring at the construction site have become possible, and the data-driven intelligent construction management mode has gradually replaced the traditional manual decision-making method. The development of these technologies has promoted the construction industry to move towards the direction of intelligentization and refinement, improving construction efficiency and quality, and reducing costs and risks.

[0003] Although digital twin technology has made certain progress in the field of building construction, there are still certain limitations in the existing technology. Most of the existing technologies focus on a single data source in the construction stage, such as building model data or project progress data, lacking the ability of cross-domain data integration and unified management. During the construction process, it is difficult to collect and comprehensively analyze multi-dimensional data such as environmental changes, personnel operations, and equipment status in real time, resulting in the digital twin model often being unable to accurately reflect the real state of construction. Although the existing technology can achieve partial linkage between the digital model and the physical sand table, due to data transmission delay, computing power limitation, and imperfect synchronization mechanism, the linkage and real-time performance between the two are poor, and they cannot maintain continuous and accurate synchronous update in a dynamic construction environment. This makes the intelligent control based on the existing technology unable to comprehensively optimize the construction organization, resulting in the difficulty of effectively solving the risk and efficiency problems during the construction process. Currently, most intelligent construction systems lack an intelligent scheduling and optimization mechanism for the construction site. Although they can obtain data in real time, they lack an effective decision support system and are difficult to precisely control and timely adjust the construction state. In response to these problems, the present invention proposes a more comprehensive and accurate solution through multi-data source integration, synchronous linkage between the digital twin model and the sand table, and intelligent optimization control, filling the gap in the existing technology. Summary of the Invention

[0004] In view of the above problems, the present invention is proposed.

[0005] Therefore, the technical problem to be solved by the present invention is that the existing digital twin technology has a single data source, poor real-time linkage between the digital model and the physical sand table, insufficient intelligent optimization control, and the problem of how to realize the intelligent control and optimization of the construction process through multi-data source integration and the precise linkage between the digital twin model and the sand table.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: A digital twin model sand table interaction method for intelligent construction training applications, including collecting key data during the construction process from multiple data sources and performing data preprocessing; constructing a digital twin model and synchronously linking the digital twin model with the physical sand table; performing intelligent control on the construction status and optimizing the construction organization; constructing a digital twin model includes generating a model corresponding to the construction status, equipment operation and process using BIM+GIS modeling technology, establishing a multi-level data management structure based on the intelligent construction industrial Internet platform, and realizing the logical interaction and sand table mapping of building information modeling data, construction management data, equipment and environment monitoring data through a primary linkage module; setting a secondary linkage module on the basis of the primary linkage module to display the physical sand table area of the building model, dynamically present the operation status of construction equipment, and perform physical interaction feedback on labor real-name system, personnel positioning, tower crane monitoring, video monitoring and environment monitoring data, and transmit the feedback information back to the platform to update the construction management system; intelligent control includes adjusting the construction strategy by combining data interaction, virtual reality and intelligent control system under a multi-level linkage mechanism, using construction robots and automatic inspection systems to perform task demonstrations and path tracking, and linking the on-site intelligent system based on the changes in the sand table status to realize the automatic triggering of construction anomaly prediction and construction optimization measures.

[0007] As a preferred solution of the digital twin model sand table interaction method for intelligent construction training applications described in the present invention, wherein: the data preprocessing includes obtaining information related to temperature and humidity, personnel location, equipment operation status, and construction progress during the construction process from the BIM model, UAV images, construction logs, equipment sensors and environment monitoring systems, converting the obtained information into a unified standard data format, and performing time synchronization and optimization processing.

[0008] As a preferred solution of the digital twin model sand table interaction method for intelligent construction training applications described in the present invention, wherein: the construction of the digital twin model includes constructing a digital twin model corresponding to the construction status, equipment operation and construction process based on BIM+GIS modeling technology, establishing a multi-level data management structure on the intelligent construction industrial Internet platform, performing real-time management of the construction progress, structural information and equipment operation, and performing visualization processing using real-time data rendering technology to dynamically reflect the changes on the construction site.

[0009] As a preferred solution of the digital twin model sand table interaction method for intelligent construction training applications according to the present invention, wherein: the synchronous linkage includes using a physical sand table and a digital twin model for synchronous linkage, establishing management systems corresponding to component scheduling, production, transportation, yard stacking, and hoisting in the intelligent construction industrial Internet platform, monitoring and controlling the component status, and dynamically visualizing the component status based on the physical sand table. When the component enters different construction stages, the component model in the physical sand table automatically adjusts to the corresponding position and is updated synchronously in the digital twin model.

[0010] As a preferred solution of the digital twin model sand table interaction method for intelligent construction training applications according to the present invention, wherein: the synchronous linkage further includes managing construction personnel, equipment status, and safety environment through the intelligent construction industrial Internet platform. During the management of construction personnel, the entry information of personnel is recorded through the labor real-name system and the movement trajectory of personnel is displayed in real time in the physical sand table and the digital twin model. During the monitoring of equipment status, based on the operation data of equipment such as tower cranes, intelligent elevators, material unloading platforms, and weighbridges, the equipment status is monitored and presented synchronously in the physical sand table and the digital twin model. During the monitoring of the safety environment, based on the intelligent dust monitoring system, when the dust index exceeds the standard, the sprinkler system is automatically triggered and an alarm message is generated in the intelligent construction industrial Internet platform.

[0011] As a preferred solution of the digital twin model sand table interaction method for intelligent construction training applications according to the present invention, wherein: the intelligent control of the construction status includes adjusting the construction strategy based on data interaction, virtual reality technology, and intelligent control systems, and using intelligent robots and unmanned aerial vehicle inspection systems to simulate the construction process. During the control of intelligent robots, ground leveling robots, wall spraying robots, and automated lightweight concrete installation robots are used to demonstrate construction tasks in the physical sand table, and the operation data of the robots and the construction process information are recorded based on the intelligent construction industrial Internet platform. In the unmanned aerial vehicle inspection system, using intelligent image analysis technology, the inspection path of the unmanned aerial vehicle and the abnormal detection results are displayed through the physical sand table.

[0012] As a preferred solution of the digital twin model sand table interaction method for intelligent construction training applications according to the present invention, wherein: the optimization of the construction organization includes dynamically adjusting the construction progress, personnel allocation, and equipment status in the physical sand table and the digital twin model, and adjusting the status of the intelligent water and electricity system, intelligent lighting system, air conditioners, elevators, and remaining equipment through the remote control function of the intelligent construction industrial Internet platform, and making intelligent decisions on abnormal situations existing in the construction process based on real-time data feedback.

[0013] Another object of the present invention is to provide a digital twin model sand table interaction system for intelligent construction training applications, which can construct a digital twin model and synchronously link the digital twin model with a physical sand table, solving the problem of poor synchronization between the virtual model and the physical construction site in the current digital twin technology.

[0014] As a preferred solution of the digital twin model sand table interaction system for intelligent construction training applications described in the present invention, it includes a data preprocessing module, a synchronous linkage module, and a construction intelligent optimization module.

[0015] The data preprocessing module is used to collect key data during the construction process based on multiple data sources and perform data preprocessing; the synchronous linkage module is used to construct a digital twin model and synchronously link the digital twin model with the physical sand table; the construction intelligent optimization module is used to intelligently control the construction state and optimize the construction organization.

[0016] A computer device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it realizes the steps of the digital twin model sand table interaction method for intelligent construction training applications.

[0017] A computer-readable storage medium stores a computer program thereon. When the computer program is executed by a processor, it realizes the steps of the digital twin model sand table interaction method for intelligent construction training applications.

[0018] The beneficial effects of the present invention: The digital twin model sand table interaction method for intelligent construction training applications provided by the present invention collects key data during the construction process based on multiple data sources and performs data preprocessing, ensuring the comprehensiveness, accuracy, and consistency of construction data. It constructs a digital twin model and synchronously links the digital twin model with the physical sand table, realizing the dynamic visualization of the construction site state, ensuring the real-time monitoring and refined management of the construction progress, structural information, and equipment operation conditions. It intelligently controls the construction state and optimizes the construction organization, improving construction efficiency and accuracy, reducing manual errors and safety hazards, being able to flexibly optimize the allocation of construction resources, automatically adjust construction strategies, and ensure that anomalies during the construction process are promptly discovered and solved. The present invention achieves better results in terms of the accuracy of construction data collection and processing, the visualization and real-time monitoring of the construction site, and the intelligent control and resource optimization of the construction process. Description of the Drawings

[0019] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0020] Figure 1 This is the overall flowchart of a digital-twin model sand-table interaction method for intelligent construction training applications provided by the first embodiment of the present invention.

[0021] Figure 2 This is the overall flowchart of a digital-twin model sand-table interaction system for intelligent construction training applications provided by the third embodiment of the present invention. Detailed implementation manners

[0022] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following will make a detailed description of the specific implementation manners of the present invention in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0023] Embodiment 1, referring to Figure 1 , which is an embodiment of the present invention, provides a digital-twin model sand-table interaction method for intelligent construction training applications, including:

[0024] S1: Collect key data during the construction process based on multiple data sources and perform data preprocessing.

[0025] Furthermore, performing data preprocessing includes obtaining information related to temperature and humidity, personnel location, equipment operation status, and construction progress during the construction process from BIM models, UAV images, construction logs, equipment sensors, and environmental monitoring systems, converting the obtained information into a unified standard data format, and performing time synchronization and optimization processing.

[0026] It should be noted that a preferred solution for converting the obtained information into a unified standard data format and performing time synchronization and optimization processing includes performing time synchronization on all data, especially real-time data from sensors and equipment. To ensure data consistency, a high-precision timestamp calibration system is introduced; spatial calibration of the data is performed to ensure that each data point in the digital-twin model can be matched with a specific physical location.

[0027] It should also be noted that by obtaining key information related to construction progress, temperature and humidity, personnel location, equipment operation status, etc. from various data sources such as BIM models (Building Information Modeling), drone images, construction logs, equipment sensors, and environmental monitoring systems, and converting them into a unified standard format for time synchronization and optimization processing, the problems of information asymmetry and data integration difficulties in traditional construction are solved. By integrating different data sources, the dynamic changes on the construction site can be comprehensively reflected, ensuring the integrity, standardization, and time synchronization of construction information. The standardized and time-synchronized processing method enables various heterogeneous data to be effectively integrated and interacted, improving the reliability and timeliness of the data. The BIM model is not just a static 3D image but also integrates various information about the building, such as structure, materials, environmental factors, construction plans, etc., forming a comprehensive building data management tool. Through the digital model, all parties involved in the project can collaborate, share, and manage building data, thereby optimizing the design process, improving construction efficiency, reducing errors, and providing post-construction operation and maintenance support. Moreover, the BIM model can dynamically reflect the changes in the building, helping construction personnel to understand the building progress, construction quality, and potential risks in real time. By preprocessing the data, data deviations caused by sensor accuracy, data format, or timing issues can be eliminated, providing accurate basic data for subsequent digital twin models and intelligent control. It not only provides an accurate data foundation for real-time monitoring of the construction site but also provides a high-quality data source for the decision-making support system, thus ensuring the smooth implementation of subsequent steps.

[0028] S2: Build a digital twin model and synchronize and link it with the physical sand table.

[0029] Furthermore, building the digital twin model includes building a digital twin model corresponding to the construction status, equipment operation conditions, and construction process based on BIM model + GIS modeling technology, establishing a multi-level data management structure on the intelligent construction industrial Internet platform, managing the construction progress, structural information, and equipment operation conditions in real time, and using real-time data rendering technology for visualization processing to dynamically reflect the changes on the construction site.

[0030] It should also be noted that a specific solution for establishing a multi-level data management structure includes defining a first-level linkage module on the intelligent construction industrial Internet platform, so that building information modeling data, construction management data, equipment monitoring data and environmental monitoring data can interact according to logical relationships, and realize data mapping of the Internet of Things sandbox through the first-level linkage module, so that the construction status, equipment operation information and construction process simulation data are synchronized between the physical sandbox and the digital twin model; defining a second-level linkage module on the basis of the first-level linkage module, so that the building information modeling data is regionalized on the physical sandbox, and the operation status of the construction equipment is dynamically presented in the sandbox according to the actual construction site conditions, so that the labor real-name system, personnel positioning, tower crane monitoring, video surveillance and environmental monitoring information involved in the construction process are synchronized. It can provide real-time feedback based on the physical interaction of the sandbox, and return the feedback data to the intelligent construction industrial Internet platform to update the relevant information in the construction management system; on the basis of the secondary linkage module, a multi-level data linkage mechanism based on construction process control is established, so that the operation trajectory of the construction robot, intelligent construction equipment and automatic inspection system can be automatically adjusted on the physical sandbox according to the preset logic, so that the intelligent control system of the construction site can be adjusted based on the state changes of the sandbox, and the abnormal state in the construction process can be predicted by the digital twin model and pushed to the intelligent construction industrial Internet platform to trigger the corresponding construction optimization measures, thereby realizing the visualization, automation and intelligence of the entire process of construction management. Refer to Table 1 to record the inclusion relationship between the first-level linkage module and the second-level linkage module.

[0031] Table 1 Inclusion relationship between the first-level linkage module and the second-level linkage module

[0032] Primary linkage module (main control) Secondary linkage module (specific application scenario) Overall description of the IoT sand table BIM modeling lighting linkage, construction equipment status display BIM digital integration High-rise building model, component application display, robot construction display Intelligent production of components Dynamic display of component scheduling, production, transportation, yard stacking, and hoisting Intelligent construction management Labor real-name system, personnel trajectory, dust monitoring, video AI analysis, tower crane monitoring, intelligent elevator, etc. Intelligent equipment robot Construction robot, inspection robot, UAV inspection simulation demonstration Intelligent operation and maintenance Equipment problem detection, video monitoring linkage, water and electricity management, intelligent lighting and environmental monitoring

[0033] It should be noted that an optimal solution for the intelligent construction industrial Internet platform includes building an industrial Internet platform that integrates the concept of the entire intelligent construction process. The platform has full-process data management and business support from design, construction, operation to maintenance, improving the digitalization and intelligence level of building life cycle management, and supporting data sharing and business linkage in all links.

[0034] It should also be noted that synchronous linkage includes the use of physical sandbox and digital twin models for synchronous linkage, establishing a management system corresponding to component scheduling, production, transportation, site stacking and lifting in the intelligent construction industrial Internet platform, monitoring and controlling component status, and dynamically visualizing component status based on the physical sandbox. When the component enters different construction stages, the component model in the physical sandbox is automatically adjusted to the corresponding position and synchronously updated in the digital twin model.

[0035] It should also be noted that the synchronous linkage also includes managing construction personnel, equipment status, and safety environment through the intelligent construction industrial Internet platform. During the management of construction personnel, the entry information of personnel is recorded through the labor real-name system, and the movement trajectory of personnel is displayed in real time in the physical sand table and the digital twin model. During the monitoring of equipment status, based on the operation data of equipment such as tower cranes, intelligent elevators, unloading platforms, and weighbridges, the equipment status is monitored and presented synchronously in the physical sand table and the digital twin model. During the monitoring of the safety environment, based on the intelligent dust monitoring system, when the dust index exceeds the standard, the spraying system is automatically triggered, and an alarm message is generated in the intelligent construction industrial Internet platform.

[0036] It should also be noted that the digital twin model is constructed through BIM model and GIS (Geographic Information System) modeling technology and is synchronously linked with the physical sand table in real time, effectively solving the problem of lack of intuitive and real-time feedback in construction site management. GIS technology is mainly used in the management of geographical location, site layout, construction environment, etc. in architecture and construction management. By combining with the BIM model, GIS can provide more accurate geographical data support for construction projects, ensuring a full understanding and application of geographical conditions during the construction process, thereby improving the accuracy and safety of construction; as a virtual mapping of the physical world, the digital twin model can reflect various changes during the construction process in real time, providing real-time visual data support for managers. The dynamic display of the physical sand table enhances the perception ability of on-site construction personnel regarding the construction progress, equipment operation, and personnel distribution, improving the intuitiveness and participation of construction management. Especially when the component status and construction stage change, the component model in the physical sand table will automatically adjust to the corresponding position and be updated synchronously in the digital twin model, ensuring the close combination of virtual and reality. This synchronous linkage mechanism can not only improve the monitoring efficiency of on-site construction but also enhance the control ability of construction personnel over the construction process, making construction management more accurate and efficient. Through this dynamic reflection and intelligent feedback mechanism, various problems that may occur during the construction process (such as construction delay, equipment failure, etc.) can be detected and handled in a timely manner, thereby reducing the risks during the construction process.

[0037] S3: Intelligently control the construction status and optimize the construction organization.

[0038] Furthermore, the intelligent control of the construction status includes adjusting the construction strategy based on data interaction, virtual reality technology and intelligent control system, simulating the construction process by using intelligent robots and UAV inspection systems. During the control process of intelligent robots, ground leveling robots, wall spraying robots, and ALC installation robots are used to demonstrate construction tasks in a physical sand table, and the operation data of the robots and construction process information are recorded based on the intelligent construction industrial Internet platform. In the UAV inspection system, intelligent image analysis technology is used to display the UAV inspection path and anomaly detection results through the physical sand table.

[0039] It should be noted that optimizing the construction organization includes dynamically adjusting the construction progress, personnel allocation and equipment status in the physical sand table and digital twin model, and through the remote control function of the intelligent construction industrial Internet platform, adjusting the status of the intelligent water and electricity system, intelligent lighting system, air conditioner, elevator and remaining equipment, and making intelligent decisions on abnormal situations existing in the construction process based on real-time data feedback.

[0040] It should also be noted that by integrating data interaction, virtual reality technology, and intelligent control systems, various states during the construction process are intelligently controlled and the construction organization is optimized. Using intelligent robots, such as ground leveling robots, wall spraying robots, and ALC (Autoclaved Lightweight Concrete) installation robots, to demonstrate construction tasks. The ALC installation robot can significantly improve the installation efficiency and accuracy during the construction process. The ALC panels are quickly and accurately installed at the predetermined position through the precisely controlled robotic arm, reducing the need for manual operations and being able to adapt to complex construction environments. Such automated equipment can also effectively reduce the labor cost and safety risks during construction, improve the construction quality, and simulate the construction process and conduct on-site inspections through the UAV inspection system, which can record and feedback construction data in real time, providing accurate construction progress and status reports; intelligent robots can automatically execute complex construction tasks, such as wall spraying and component installation, reducing manual operation errors and safety risks, while improving construction efficiency; the UAV inspection system conducts comprehensive inspections and anomaly detections on the construction site through intelligent image analysis technology, providing accurate risk prediction and safety management for the construction site; the intelligent operation of this process enables construction workers to focus more on high-level decision-making and management, reducing the labor intensity of on-site personnel; in terms of optimizing the construction organization, through remote control on the intelligent construction industrial Internet platform, the status of equipment such as the water and electricity system, lighting system, air conditioning, and elevator can be adjusted, and intelligent decisions can be made based on real-time data feedback. This enables the construction organization to adjust the construction progress, personnel allocation, and equipment scheduling in real time according to the on-site situation, ensuring the optimal allocation of resources and the smoothness of the construction process. Through dynamic adjustment, the resource utilization rate at the construction site has been significantly improved, and abnormal situations (such as equipment failures, personnel shortages, etc.) can be intelligently identified and processed in a timely manner, avoiding construction delays and cost waste caused by information lag or improper resource allocation in traditional construction management.

[0041] Embodiment 2, an embodiment of the present invention, provides a digital twin model sand table interaction method for intelligent construction training applications. In order to verify the beneficial effects of the present invention, scientific demonstrations are carried out through economic benefit calculations and simulation experiments.

[0042] First, a medium-sized construction site was selected as the test object. The project includes multiple floors, with complex construction tasks and involving multiple construction links and site management; during the experiment, based on the digital operation and maintenance scenario (2nd floor) and the BIM digital integration scenario, multiple data sources were integrated, covering BIM models, drone images, construction logs, equipment sensors, environmental monitoring systems, etc., and key information related to the construction process was collected, including but not limited to temperature and humidity, personnel location, equipment status, and construction progress, etc.; all data was preprocessed through the intelligent construction industrial Internet platform, and the process of data format conversion and time synchronization ensured that data from different sources could be in a unified format and accurately reflect the real-time status of the construction site; next, based on the BIM digital integration scenario, digital operation and maintenance scenario, and intelligent construction management scenario, a digital twin model was constructed using BIM and geographic information system (GIS) technologies and was synchronously linked with the physical sand table. During this process, the digital twin model real-time reflected important information such as construction progress and equipment status, while the physical sand table dynamically demonstrated the status and position changes of different components during the construction process. When the components entered different construction stages, the component models in the physical sand table automatically adjusted to the corresponding positions and were synchronously updated to the digital twin model, thus ensuring the visualization and efficient monitoring of the construction process; based on the intelligent construction management scenario and intelligent equipment robot scenario (3rd floor), the intelligent control system can perform intelligent control of the construction status and optimize resource scheduling according to real-time data. Specifically, through data interaction, virtual reality technology, and the intelligent control system, the construction strategy was optimized, and intelligent robots (such as ground leveling robots, wall spraying robots, and ALC installation robots) automatically executed construction tasks, reducing human errors and improving construction accuracy and efficiency. At the same time, using the drone patrol system, the construction site was patrolled in real time to identify anomalies and generate alarm information, further ensuring the safety and efficiency of the construction process; based on real-time data feedback, the intelligent control system can automatically adjust the construction progress, personnel allocation, and equipment status, making the entire construction process more efficient, controllable, reducing resource waste, and improving construction quality; referring to Table 2, the experimental data was recorded and analyzed.

[0043] Table 2 Experimental Data Record Sheet

[0044]

[0045] In the data table, the performance of the experimental group (the present invention) and the control group (the prior art) in several key parameters is listed. In terms of the construction progress, the progress of the experimental group reached 95%, which is 10% higher than 85% of the control group, showing the advantages of the present invention in optimizing the construction organization and accelerating the progress. Secondly, in terms of the equipment status, the stability of the equipment status in the experimental group is 98%, which has been significantly improved compared with 90% of the control group. This indicates that the intelligent monitoring system can detect and handle equipment failures in a timely manner, reducing the construction period delay and maintenance costs caused by equipment problems; in terms of the deviation of the personnel movement trajectory, the deviation of the experimental group is 0.2 meters, while that of the control group is 0.6 meters. The results show that the present invention can reduce the problem of personnel deviating from the predetermined path through precise personnel position monitoring and real-time adjustment, improving the coordination and work efficiency of the construction site; in terms of the construction environment temperature, the temperature of the experimental group is controlled at 25°C, while that of the control group is 28°C, proving that the present invention can reduce the impact of temperature fluctuations on the construction quality by adjusting the construction environment parameters in real time through the environment monitoring system; in terms of the dust index, the value of the experimental group is 50 mg / m³, while that of the control group is 200 mg / m³, indicating that the present invention can effectively reduce the dust pollution through the intelligent dust monitoring system and improve the environmental quality of the construction site; in terms of the construction task completion rate, the task completion rate of the experimental group is 90%, while that of the control group is 75%. It is confirmed that through intelligent control, data interaction and intelligent decision-making, the present invention can organize construction tasks more efficiently and improve the overall construction efficiency; from these comparison data, it can be seen that the present invention has innovation and advantages in improving the controllability, accuracy and safety of the construction site, and at the same time improves the construction efficiency and quality, fully solving the problems of data lag, improper resource allocation and inaccurate personnel management in the prior art.

[0046] Example 3, referring to Figure 2 , which is an embodiment of the present invention, provides a digital twin model sand table interaction system for intelligent construction training applications, including a data preprocessing module, a synchronous linkage module, and a construction intelligent optimization module.

[0047] Among them, the data preprocessing module is used to collect key data during the construction process based on multiple data sources and perform data preprocessing; the synchronous linkage module is used to construct a digital twin model and synchronously link the digital twin model with the physical sand table; the construction intelligent optimization module is used to intelligently control the construction state and optimize the construction organization.

[0048] If a function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in various embodiments of the present invention. The aforementioned storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs, etc., which can store program codes of various kinds.

[0049] The logic and / or steps represented in the flowchart or described in other ways herein, for example, can be considered as a predefined sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in combination with these instruction execution systems, apparatuses, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in combination with an instruction execution system, apparatus, or device.

[0050] More specific examples (non-exhaustive list) of computer-readable media include the following: electrical connection parts with one or more wirings (electronic devices), portable computer disk cartridges (magnetic devices), random access memories (RAMs), read-only memories (ROMs), erasable programmable read-only memories (EPROMs or flash memories), optical fiber devices, and portable compact disc read-only memories (CDROMs). Additionally, a computer-readable medium can even be paper or other suitable media on which a program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, then editing, interpreting, or processing it in other suitable ways as necessary, and then storing it in a computer memory.

[0051] It should be understood that each part of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one of the following techniques known in the art or a combination thereof can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc. It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. A digital twin model sand table interaction method for intelligent construction training applications, characterized in that, Including: Collecting key data during the construction process from multiple data sources and performing data preprocessing; Constructing a digital twin model and synchronously linking the digital twin model with the physical sand table; Intelligently controlling the construction status and optimizing the construction organization; Constructing a digital twin model includes using BIM+GIS modeling technology to generate a model corresponding to the construction status, equipment operation, and process, establishing a multi-level data management structure based on the intelligent construction industrial Internet platform, and realizing the logical interaction and sand table mapping of building information modeling data, construction management data, equipment and environment monitoring data through a primary linkage module; on the basis of the primary linkage module, a secondary linkage module is set up to display the physical sand table area of the building model, dynamically present the operation status of construction equipment, and perform physical interaction feedback on labor real-name system, personnel positioning, tower crane monitoring, video monitoring, and environment monitoring data, and transmit the feedback information back to the platform to update the construction management system; Intelligent control includes adjusting construction strategies by combining data interaction, virtual reality, and intelligent control systems under a multi-level linkage mechanism, using construction robots and automatic inspection systems to perform task demonstrations and path tracking, and linking the on-site intelligent system based on the changes in the sand table status to realize the automatic triggering of construction anomaly prediction and construction optimization measures; Constructing a digital twin model includes constructing a digital twin model corresponding to the construction status, equipment operation conditions, and construction process based on BIM+GIS modeling technology, establishing a multi-level data management structure on the intelligent construction industrial Internet platform, real-time managing the construction progress, structural information, and equipment operation conditions, and performing visualization processing using real-time data rendering technology to dynamically reflect the changes at the construction site; Establishing a multi-level data management structure includes defining a primary linkage module on the intelligent construction industrial Internet platform to enable the interaction of building information modeling data, construction management data, equipment monitoring data, and environment monitoring data according to logical relationships, and realizing the data mapping of the Internet of Things sand table through the primary linkage module, so that the building construction status, equipment operation information, and construction process simulation data are synchronized between the physical sand table and the digital twin model; on the basis of the primary linkage module, a secondary linkage module is defined to display the building information modeling data regionally on the physical sand table, and dynamically present the operation status of construction equipment in the sand table according to the actual construction site situation, so that the labor real-name system, personnel positioning, tower crane monitoring, video monitoring, and environment monitoring information involved in the construction process are real-time feedback based on the physical interaction of the sand table, and the feedback data is returned to the intelligent construction industrial Internet platform to update the relevant information in the construction management system; On the basis of the secondary linkage module, a multi-level data linkage mechanism based on construction process control is established to automatically adjust the operation trajectories of construction robots, intelligent construction equipment, and automatic inspection systems on the physical sand table according to the preset logic, adjust the intelligent control system at the construction site based on the changes in the sand table status, and predict the abnormal status during the construction process through the digital twin model and push it to the intelligent construction industrial Internet platform to trigger corresponding construction optimization measures; Synchronous linkage includes establishing management systems corresponding to component scheduling, production, transportation, yard stacking, and hoisting in the intelligent construction industrial Internet platform, monitoring and controlling the status of components, dynamically visualizing the status of components based on a physical sand table. When components enter different construction stages, the component models in the physical sand table are automatically adjusted to the corresponding positions and synchronously updated in the digital twin model; Synchronous linkage also includes managing construction personnel, equipment status, and safety environment through the intelligent construction industrial Internet platform. During the management of construction personnel, the entry information of personnel is recorded through the labor real-name system, and the movement trajectory of personnel is displayed in real time in the physical sand table and digital twin model. During the monitoring of equipment status, based on the operation data of equipment such as tower cranes, intelligent elevators, unloading platforms, and weighbridges, the equipment status is monitored and presented synchronously in the physical sand table and digital twin model. During the monitoring of the safety environment, based on the intelligent dust monitoring system, when the dust index exceeds the standard, the sprinkler system is automatically triggered, and an alarm message is generated in the intelligent construction industrial Internet platform.

2. The digital twin model sand table interaction method for intelligent construction training applications according to claim 1, wherein: The data preprocessing includes obtaining information related to temperature and humidity, personnel location, equipment operation status, and construction progress during the construction process from BIM models, UAV images, construction logs, equipment sensors, and environmental monitoring systems, converting the obtained information into a unified standard data format, and performing time synchronization and optimization processing.

3. The digital twin model sand table interaction method for intelligent construction training applications according to claim 1, characterized in that: The intelligent control of the construction status includes adjusting the construction strategy based on data interaction, virtual reality technology, and intelligent control systems, and using intelligent robots and UAV inspection systems to simulate the construction process. During the control of intelligent robots, ground leveling robots, wall spraying robots, and automated lightweight concrete installation robots are used to demonstrate construction tasks in the physical sand table, and the operation data of the robots and construction process information are recorded based on the intelligent construction industrial Internet platform. In the UAV inspection system, intelligent image analysis technology is used to display the UAV inspection path and abnormal detection results through the physical sand table.

4. The digital twin model sand table interaction method for intelligent construction training applications according to claim 2, characterized in that: The optimization of the construction organization includes dynamically adjusting the construction progress, personnel allocation, and equipment status in the physical sand table and digital twin model, and adjusting the status of the intelligent water and electricity system, intelligent lighting system, air conditioners, elevators, and remaining equipment through the remote control function of the intelligent construction industrial Internet platform, and making intelligent decisions on abnormal situations during the construction process based on real-time data feedback.

5. A system adopting the digital twin model sand table interaction method for intelligent construction training applications as described in any one of claims 1 to 4, characterized in that: It includes a data preprocessing module, a synchronous linkage module, and a construction intelligent optimization module; The data preprocessing module is used to collect key data during the construction process based on multiple data sources and perform data preprocessing; The synchronous linkage module is used to construct a digital twin model and synchronously link the digital twin model with the physical sand table; The construction intelligent optimization module is used to intelligently control the construction status and optimize the construction organization.

6. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the digital twin model sand table interaction method for intelligent construction training applications described in any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the digital twin model sand table interaction method for intelligent construction training applications described in any one of claims 1 to 4.

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