Intelligent construction site management system based on digital twinning

Abstract

The invention belongs to the technical field of nuclear power, and particularly relates to an intelligent construction site management system based on digital twinning. According to the system, efficient data processing and real-time monitoring can be achieved, through Redis cache and distributed storage, the system can rapidly process and display real-time data of a construction site, and it is ensured that a manager obtains key information in time. Through the design of the business support layer, each function module of the system can be flexibly called, and rapid expansion and function adjustment are supported. And an AI analysis module is integrated, so that automatic identification and alarm of illegal behaviors are realized, and the safety management efficiency is greatly improved. Data checking and operation through a PC terminal, a mobile terminal and a monitoring large screen are supported, and it is ensured that a management layer can monitor the progress of a construction site anytime and anywhere. The background management system supports data import, export and configuration adjustment, has high flexibility and expandability, and adapts to management requirements of construction sites of different scales.

Description

Technical Field

[0001] The present invention belongs to the field of nuclear power technology, and specifically relates to a smart construction site management system based on digital twins. Background Art

[0002] As construction sites increase in size and complexity, traditional methods of site management face the following shortcomings:

[0003] Data collection is not timely and comprehensive. Traditional IoT monitoring systems are mostly one-way data transmission, with slow data update speed, lack of real-time performance, and cannot fully cover the entire construction site. Responses to emergencies are often delayed, making it difficult to ensure dynamic supervision of the construction site.

[0004] Insufficient data integration and analysis capabilities. The existing construction site management system cannot efficiently integrate data from multiple sources (such as personnel, vehicles, videos, etc.), and has limitations in the aggregation, analysis and application of heterogeneous data, making it difficult to support refined management of construction sites.

[0005] Lack of intelligent alarm and safety warning mechanism: Traditional systems only support simple event records, and safety hazard detection relies on manual inspections, which is inefficient and high-risk.

[0006] Therefore, it is urgent to solve the above problems in order to improve the efficiency and quality of modern construction site management. Summary of the invention

[0007] In order to overcome the problems existing in related technologies, a smart construction site management system based on digital twins is provided.

[0008] According to one aspect of an embodiment of the present disclosure, there is provided a smart construction site management system based on digital twins, the system comprising: a device perception layer, a network transmission layer, a data resource layer, a business application layer, and a user interaction layer;

[0009] The device perception layer is used to collect images and personnel, equipment and environmental information of the project site through corresponding collection equipment;

[0010] The network transmission layer uploads the data collected by the device perception layer to the data resource layer in real time via wired or wireless means;

[0011] The data resource layer uses Redis cache and distributed storage to complete data access, data storage, data management, big data engine, rule engine and security management;

[0012] The business application layer is used to display and analyze the data collected by the equipment perception layer. Each monitoring point is linked with the equipment sensor to display the status of personnel, vehicles and equipment on site in real time. At the same time, it manages other site-related business processes.

[0013] The user interaction layer connects the terminal devices of managers at all levels, and the terminal devices can view and manage the corresponding data of the business application layer.

[0014] In one possible implementation, the system uses a microservice architecture, where each service has its own processing and lightweight communication mechanism and can be deployed on a single or multiple servers;

[0015] Each microservice in the system can be deployed independently, and each microservice is loosely coupled; each microservice can be completed using the best tool, allowing different microservices to adopt different data persistence technologies; establish a real-time monitoring and logging mechanism for architecture and business-related indicators, consider the failure tolerance mechanism of each service, the system will continue to change and evolve over time, and has an alternative modular design.

[0016] In one possible implementation, a digital twin platform for the construction site is created through the use of laser scanning, drone aerial photography, and sensor networks. The sensor data is updated in real time at each important node, and data from personnel, equipment, and environmental sensors are integrated to generate a digital twin platform for the construction site that includes all dynamic elements. By aggregating different data, it is ensured that the virtual environment is fully matched with the real construction site, so that the virtual construction site can reflect changes in the real construction site at any time.

[0017] In one possible implementation, virtual construction site simulation and risk warning are carried out. The construction site digital twin model uses simulation and analysis functions to test various scenarios of the construction process in the virtual construction site in advance to improve the emergency response and management efficiency of the construction site.

[0018] In one possible implementation, a construction site digital twin platform is used to simulate construction site operations, simulate different construction site operations in a virtual environment, and identify potential risk factors and prevent accidents by simulating the interaction between people and equipment.

[0019] In one possible implementation, a construction site digital twin platform is used to generate risk warnings based on AI algorithms and predefined rules. The system can monitor abnormal fluctuations in actual data and feed back information to construction site managers.

[0020] In one possible implementation, a construction site digital twin platform is used to perform equipment maintenance and upkeep, and the maintenance cycle of the equipment is estimated through predictive analysis combined with the monitoring data of the digital twin.

[0021] In one possible implementation, based on the production data of the construction site digital twin platform, machine learning algorithms are used to analyze historical construction data, identify common inefficiencies in the construction process, and recommend optimization measures. The performance of each team is analyzed through the digital twin virtual construction site to provide a basis for the optimal allocation of personnel and resources.

[0022] In one possible implementation, intelligent scene recognition and behavior detection are performed based on the construction site digital twin platform: video analysis and deep learning technology are used to intelligently identify the construction site environment, detect in real time whether workers have violated regulations and whether equipment is operated according to regulations, automatically identify violations and generate alarms.

[0023] In one possible implementation, construction progress and quality analysis is based on the construction site digital twin platform: combined with the construction progress monitoring function of the digital twin model, big data analysis is used to dynamically evaluate the progress. The system can also calculate the progress deviation between the virtual construction site and the actual construction site, and implement on-site scheduling adjustments by prompting management personnel.

[0024] In a possible implementation, the business application layer also includes a BIM model mounting support module, a video monitoring module, a personnel management system, a vehicle management module, a safety management module, a violation analysis and monitoring system, a project management module, and a background management system;

[0025] BIM model mounting support module is used for the integrated loading, management, scheduling, rendering of large-scale engineering models, spatial data, simulation data and various scene visualization data, as well as the construction and presentation of visualization scenes; it highlights the simulation display of the entry and exit actions of people and vehicles entering and exiting the factory gate, and the corresponding data is provided by each participating construction unit;

[0026] Video monitoring module, used to realize real-time streaming of video monitoring. The video monitoring module can connect to various monitoring cameras to realize any one or more of the following functions: real-time monitoring of personnel, vehicles, and implementation sites through the video monitoring module; real-time playback, historical playback, and snapshot of monitoring videos; direct management of security monitoring equipment, points, configurations, etc.

[0027] The personnel management module is used to connect to the gate module, extract personnel entry and exit information, collect and display workers' entry and exit information in real time; display personnel's real-time working hours, attendance rate, entry and exit record data; also provides working hours trend analysis and real-time personnel distribution map of the construction site to facilitate management personnel to make decisions; it is also used for management personnel to import back-end data to realize on-site personnel management;

[0028] The vehicle management module is used to connect to the vehicle entry and exit management module, extract vehicle entry and exit information within the preset time period, conduct real-time monitoring of vehicles, vehicle unit management, vehicle information management, speed measurement record management, and manage illegal vehicles on the project site, and stop and control illegal vehicles in a timely manner;

[0029] Safety management module, which uses AI recognition technology to conduct real-time video analysis, automatically capture abnormal behaviors in high-risk operation areas, generate alarm information, and display hidden danger trends, providing safety risk rankings for construction sites;

[0030] Violation analysis and monitoring module, which uses AI recognition technology to perform real-time video analysis, automatically identify illegal operations of people or vehicles, and generate alarm data and chart statistics;

[0031] The project management module is used to obtain project management data in real time and generate statistical data including construction period completion rate, project progress, personnel input, point value statistics, negative excavation completion rate, etc.

[0032] The backend management system is used to configure the data information displayed on the front end, and supports data addition, deletion, modification, and query, as well as data report import and export functions.

[0033] The beneficial effects of the present disclosure are:

[0034] 1. Efficient data processing and real-time monitoring: Through Redis cache and distributed storage, the system can quickly process and display real-time data of the construction site, ensuring that managers can obtain key information in a timely manner.

[0035] 2. Flexible modular design: Through the design of the business support layer, the system's functional modules can be flexibly called to support rapid expansion and functional adjustment.

[0036] 3. AI analysis and intelligent alarm: The integrated AI analysis module can realize automatic identification and alarm of violations, greatly improving the efficiency of security management.

[0037] 4. Human-computer interaction and multi-terminal support: Supports data viewing and operation through PC, mobile terminal and monitoring large screen, ensuring that management can monitor the progress of the construction site anytime and anywhere.

[0038] 5. Strong scalability: The backend management system supports data import, export and configuration adjustment, has strong flexibility and scalability, and can adapt to the management needs of construction sites of different sizes.

[0039] The system can realize multiple functions such as panoramic site monitoring, personnel and vehicle management, video monitoring, safety warning, AI analysis, etc., and is suitable for the intelligent management of large-scale construction site projects in construction projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a schematic diagram of a smart construction site management system based on digital twins according to an exemplary embodiment.

[0041] Figure 2 It is a schematic diagram of a construction site digital twin platform according to an exemplary embodiment.

[0042] Figure 3 is a schematic diagram of a personnel management module according to an exemplary embodiment.

[0043] Figure 4 is a schematic diagram of a vehicle management module according to an exemplary embodiment.

[0044] Figure 5 is a schematic diagram of a security management module according to an exemplary embodiment.

[0045] Figure 6 It is a schematic diagram of a project management module according to an exemplary embodiment. DETAILED DESCRIPTION

[0046] The present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0047] Figure 1 is a schematic diagram of a smart construction site management system based on digital twins according to an exemplary embodiment. Figure 1 As shown, the system includes: a device perception layer, a network transmission layer, a data resource layer, a business application layer, and a user interaction layer.

[0048] The device perception layer is used to collect images and personnel, equipment and environmental information of the project site through corresponding acquisition equipment, to achieve real-time monitoring, intelligent perception, data collection and efficient collaboration of the project construction process, and to improve the management capabilities of the work site.

[0049] For example, the equipment perception layer includes personnel gates, cameras, vehicle positioning equipment, speed measuring equipment, construction equipment monitoring equipment, environmental monitoring equipment, etc., which can collect real-time sensor detection data, construction process data, process data, GIS vector elevation effects, document results, video streaming data and project management data.

[0050] The network transmission layer uploads the data collected by the device perception layer to the data resource layer in real time via wired or wireless means. Network transmission encryption ensures network security and stability. For example, the network transmission layer can use SOA, WebServic, WebAPI, and Socket.

[0051] The data resource layer uses Redis cache and distributed storage to complete data access, data storage, data management, big data engine, rule engine and security management. It supports structured and unstructured storage, distributed storage and big data applications. For example, in the data resource layer, relational databases are used to store plan schedule data and equipment instrument data; document databases are used to store models and documents; and memory databases are used to store personnel and vehicle location information.

[0052] The business application layer is used to display and analyze the data collected by the equipment perception layer, and manage other site-related business processes. With the help of equipment sensors to perceive the operating status of equipment and the safety behavior of construction workers, and with the help of intelligent machines to enhance the skills of construction workers, it can partially replace people and help complete work that was previously impossible or risky.

[0053] For example, each monitoring point is linked to the equipment sensor to display the status of personnel, vehicles and equipment on site in real time. The business application layer includes BIM model mounting support module, video monitoring module, personnel management system, vehicle management module, safety management module, violation analysis and monitoring system, engineering management module and background management system.

[0054] The BIM model mounting support module is used for the integrated loading, management, scheduling, rendering of large-scale engineering models, spatial data, simulation data and various scene visualization data, as well as the construction and presentation of visualization scenes; it highlights the simulation display of the entry and exit movements of people and vehicles entering and exiting the factory gate, with the corresponding data provided by each participating construction unit.

[0055] like Figure 2 As shown, the BIM model mounting support module establishes a virtual construction site digital twin platform and uses digital technology to provide the model with an information database that is consistent with the actual situation, which can help realize the integration of building information. From model design, establishment, construction to completion of the entire life cycle, various information is integrated into a unified three-dimensional model. Personnel from all parties related to construction, such as design units, construction units, facility operation units and owner units, work together to improve work efficiency, save resources and realize building informatization and intelligence.

[0056] The video monitoring module is used to implement real-time streaming of video monitoring through WebSocket, such as Figure 3 As shown, the video surveillance module can connect to each surveillance camera to realize any one or more of the following functions: through the video surveillance module, real-time monitoring of personnel, vehicles, and implementation sites; real-time playback, historical playback, and snapshot of surveillance videos; direct management of security monitoring equipment, points, configurations and other functions; among which, the video file storage of the video surveillance module shall not be less than 90 days.

[0057] The personnel management module is used to connect to the gate module, extract personnel entry and exit information, and collect and display workers' entry and exit information in real time. Figure 4 As shown in the figure, the real-time working hours, attendance rate, and entry and exit record data of personnel are displayed through Echarts charts. The system also provides working hours trend analysis and real-time personnel distribution map on the construction site to facilitate managers to make decisions; it is also used for managers to import back-end data to achieve on-site personnel management.

[0058] The vehicle management module is used to connect to the vehicle entry and exit management module, extract vehicle entry and exit information within a preset period, and conduct real-time monitoring of vehicles, vehicle unit management, vehicle information management, and speed measurement record management. Figure 5 As shown, the vehicle management module monitors the violations of vehicles on the construction site according to the safety rules of the project site, manages the illegal vehicles on the project site, and stops and controls the illegal vehicles in time;

[0059] Display vehicle entry and exit data statistics on demand; vehicle entry and exit data statistics include, for example, vehicle type statistics and vehicle entry and exit trend analysis within the past 14 days.

[0060] The safety management module is used to perform real-time video analysis through AI recognition technology, automatically capture abnormal behaviors in high-risk operation areas, generate alarm information, and display hidden danger trends through Echarts. Figure 5 As shown, the safety management module can monitor the high-risk work units on the construction site in real time. The system can generate safety alarms and conduct hidden danger inspections, provide safety risk rankings for the construction site, and conduct trend analysis on the safety hazards on the construction site.

[0061] The violation analysis and monitoring module is used to perform real-time video analysis through AI recognition technology, automatically identify illegal operations of people or vehicles, and generate alarm data and chart statistics.

[0062] The project management module is used to obtain project management data in real time and generate statistical data including completion rate of construction period, project progress, personnel input, point value statistics, negative excavation completion rate, etc. Figure 6 As shown, the system provides real-time tracking of various engineering indicators through data collection and chart display.

[0063] The backend management system is used to configure the data information displayed on the front end, and supports the addition, deletion, modification, and query of data as well as Excel import and export functions. This system is the core of the data displayed on the front end large screen. For example, the backend management system can be developed based on the Ruyi framework, providing data configuration and management functions, and supporting Excel import and export of various types of data.

[0064] In this way, with the support of the data support layer and the business support layer, the business application layer realizes a number of key functions of smart construction site management, helping managers to monitor and manage the construction site in real time.

[0065] The user interaction layer connects the terminal devices of managers at all levels, such as mobile phones, PCs, tablets, etc. The terminal devices can view and manage the corresponding data of the business application layer. The user interaction layer supports users to interact with the system through PCs, mobile terminals and monitoring screens. Users can view key data of the construction site in real time on different terminals, including personnel, vehicles, construction progress and equipment status. The monitoring screen can centrally display key data and video surveillance, which is convenient for managers to make timely decisions.

[0066] In one possible implementation, the system of the present disclosure adopts a microservice architecture, which can be represented by developing a single small but business-functional service, each of which has its own processing and lightweight communication mechanism and can be deployed on a single or multiple servers. Microservices are represented by loosely coupled service-oriented architectures with certain bounded contexts. In a microservice architecture, it is only necessary to add the required functions to a specific service without affecting the architecture of the overall process.

[0067] Compared with monolithic architecture and SOA, its main features are componentization, loose coupling, autonomy, and decentralization, which are reflected in the following aspects:

[0068] A set of small services with small granularity, each of which encapsulates a business capability with a single responsibility and focuses on doing one thing well.

[0069] Independent deployment, operation and expansion: Each service can be independently deployed and run in a process. This operation and deployment method can give the system flexible code organization and release rhythm, making rapid delivery and response to changes possible.

[0070] Independent development and evolution, flexible technology selection, and no constraints from legacy system technology. The right technology can be chosen for the right business problem and can evolve independently. Services are integrated using language-independent APIs. Compared with the monolithic architecture, the microservice architecture is an architecture model that is more oriented towards business innovation.

[0071] Independent teams and autonomy: Teams are responsible for the entire life cycle of the service, work in independent contexts, make their own decisions and govern themselves, and do not require a unified command center. Teams are connected through loose community tribes.

[0072] The system adopts the microservice framework. In the architecture of the entire distributed system, the microservice architecture is used. From a practical point of view, the microservice architecture is usually a distributed service architecture. The service-oriented architecture allows for a more thorough separation of the front-end and back-end. The back-end provides REST services, which are independent of the platform and language. Each system has a clear and single function and responsibility, clear boundaries, and loose coupling between modules.

[0073] Each microservice in the system can be deployed independently, and each microservice is loosely coupled. Each microservice focuses on completing a task and completes it well. This forms a service organization around business capabilities, automated deployment, intelligent endpoints, and decentralized control of language and data.

[0074] This disclosure defines the system as a software unit that can be replaced and upgraded independently. A strategy for organizing services based on business capabilities. Implementing a method of integrating development, operation and maintenance. Using the RESTful HTTP protocol to implement communications in the microservice architecture. Each microservice can consider using the best tool to complete it (such as different programming languages). Allow different microservices to use different data persistence technologies. Establish a real-time monitoring and logging mechanism for architecture and business-related indicators, and consider the failure tolerance mechanism for each service. The system will continue to change and evolve over time. Modular design for interchangeability.

[0075] Digital twin is a technology that builds a dynamic model of a real object or system in a virtual space. With the help of the Internet of Things and sensor technology, it realizes real-time synchronization between the physical world and the virtual world. The disclosed system uses a digital twin model to "mirror" the conditions of the real construction site in the virtual site, achieve comprehensive and real-time data monitoring and analysis, and has the following functions.

[0076] For example, by using laser scanning, drone aerial photography and sensor networks, a digital twin platform for construction sites is created, and sensor data is updated in real time at each important node, integrating data from personnel, equipment and environmental sensors to generate a digital twin platform for construction sites that includes all dynamic elements. By aggregating different data, it is ensured that the virtual environment fully matches the real construction site, so that the virtual construction site can reflect changes in the real construction site at any time.

[0077] Combined with AI models, the data of the digital twin model of the construction site can be learned and optimized. For example, an automated model for progress prediction or hidden danger warning can be generated based on historical data and site conditions.

[0078] In one possible implementation, virtual construction site simulation and risk warning are carried out. The construction site digital twin model uses simulation and analysis functions to test various scenarios of the construction process in the virtual construction site in advance to improve the emergency response and management efficiency of the construction site.

[0079] In one possible implementation, the construction site digital twin platform is used to simulate construction site operations, simulating different construction site operations (such as lifting, concrete pouring, etc.) in a virtual environment to identify potential risk factors. By simulating "interaction between people and equipment", accidents such as collisions can be prevented to ensure a safer construction process.

[0080] In one possible implementation, the construction site digital twin platform generates risk warnings based on AI algorithms and predefined rules, such as high-risk operation areas, abnormal equipment behavior, etc. The system can monitor abnormal fluctuations in actual data and feed back information to construction site managers to help take timely intervention measures.

[0081] In one possible implementation, a construction site digital twin platform is used to perform equipment maintenance and upkeep. Combined with the digital twin’s monitoring data, the equipment maintenance cycle is estimated through predictive analysis to avoid sudden equipment failures.

[0082] Based on the production data of the construction site digital twin platform, the machine learning algorithm is used to analyze the historical construction data, identify the common inefficiencies in the construction process, and recommend optimization measures. The digital twin virtual construction site is used to analyze the performance of each team and provide a basis for the optimal allocation of personnel and resources.

[0083] Intelligent scene recognition and behavior detection based on the construction site digital twin platform: Use video analysis and deep learning technology to intelligently identify the construction site environment and detect in real time whether workers are violating regulations, such as whether they are wearing safety equipment correctly and whether equipment is operated according to regulations. Violations are automatically identified and alarms are generated.

[0084] Construction progress and quality analysis based on the digital twin platform of the construction site: Combined with the construction progress monitoring function of the digital twin model, the progress is dynamically evaluated using big data analysis to ensure that the construction period targets are carried out as planned. The system can calculate the progress deviation between the virtual construction site and the actual construction site, and implement on-site scheduling adjustments by prompting management personnel.

[0085] The construction site digital twin platform disclosed in the present invention has an intelligent feedback mechanism, which performs optimization and adjustment through data and AI analysis to achieve any of the following functions.

[0086] Data iteration and update: During system operation, the platform will continuously collect and analyze data, and use feedback mechanisms to update the parameters of the digital twin model to ensure that the model is continuously optimized as actual conditions change.

[0087] Management strategy optimization: The digital twin platform can automatically optimize management strategies through historical records. For example, the system can suggest adjusting the layout of the construction site, optimizing the construction sequence, and rationally allocating workers to help managers form a more scientific management plan.

[0088] Experience accumulation and intelligence improvement: Through data accumulation and experience feedback, the system will continuously optimize the accuracy of AI analysis. For example, in response to the differences in weather and construction site conditions, the digital twin system will gradually improve its performance in special environments and form a "smart experience library."

[0089] Through the digital twin platform, the smart construction site management system can achieve virtual-reality interaction, intelligent feedback and efficient management, thereby significantly improving construction site safety, efficiency and management quality.

[0090] The embodiments of the present disclosure have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or improvements to the technology in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A smart construction site management system based on digital twins, characterized in that: The system includes: a device perception layer, a network transmission layer, a data resource layer, a business application layer, and a user interaction layer; The device perception layer is used to collect images and personnel, equipment and environmental information of the project site through corresponding collection equipment; The network transmission layer uploads the data collected by the device perception layer to the data resource layer in real time via wired or wireless means; The data resource layer uses Redis cache and distributed storage to complete data access, data storage, data management, big data engine, rule engine and security management; The business application layer is used to display and analyze the data collected by the equipment perception layer. Each monitoring point is linked with the equipment sensor to display the status of personnel, vehicles and equipment on site in real time. At the same time, it manages other site-related business processes. The user interaction layer connects the terminal devices of managers at all levels, and the terminal devices can view and manage the corresponding data of the business application layer.

2. The system according to claim 1, characterized in that The system adopts a microservice architecture, where each service has its own processing and lightweight communication mechanism and can be deployed on a single or multiple servers; Each microservice in the system can be deployed independently, and each microservice is loosely coupled; each microservice can be completed using the best tool, allowing different microservices to adopt different data persistence technologies; establish a real-time monitoring and logging mechanism for architecture and business-related indicators, consider the failure tolerance mechanism of each service, the system will continue to change and evolve over time, and has an alternative modular design.

3. The system according to claim 1, characterized in that By using laser scanning, drone aerial photography and sensor networks, a digital twin platform for the construction site is created, and sensor data is updated in real time at each important node. Data from personnel, equipment and environmental sensors are integrated to generate a digital twin platform for the construction site that includes all dynamic elements. By aggregating different data, it is ensured that the virtual environment is fully matched with the real construction site, so that the virtual construction site can reflect changes in the real construction site at any time.

4. The system according to claim 1, characterized in that Conduct virtual construction site simulation and risk warning. The construction site digital twin model uses simulation and analysis functions to test various scenarios of the construction process in the virtual construction site in advance to improve the emergency response and management efficiency of the construction site.

5. The system according to claim 1, characterized in that The construction site digital twin platform is used to simulate construction site operations, simulate different construction site operations in a virtual environment, and identify potential risk factors and prevent accidents by simulating the interaction between personnel and equipment.

6. The system according to claim 1, characterized in that The construction site digital twin platform generates risk warnings based on AI algorithms and predefined rules. The system can monitor abnormal fluctuations in actual data and feed back information to site managers.

7. The system according to claim 1, characterized in that The construction site digital twin platform is used to carry out equipment maintenance and upkeep, and the maintenance cycle of equipment is estimated through predictive analysis combined with the monitoring data of the digital twin.

8. The system according to claim 1, characterized in that Based on the production data of the construction site digital twin platform, machine learning algorithms are used to analyze historical construction data, identify common inefficiencies in the construction process, and recommend optimization measures. The performance of each team is analyzed through the digital twin virtual construction site to provide a basis for the optimal allocation of personnel and resources.

9. The system according to claim 1, characterized in that Intelligent scene recognition and behavior detection based on the construction site digital twin platform: Use video analysis and deep learning technology to intelligently identify the construction site environment, detect in real time whether workers are violating regulations and whether equipment is operating according to regulations, automatically identify violations and generate alarms.

10. The system according to claim 1, characterized in that Construction progress and quality analysis based on the construction site digital twin platform: Combined with the construction progress monitoring function of the digital twin model, the progress is dynamically evaluated using big data analysis. The system can also calculate the progress deviation between the virtual construction site and the actual construction site, and implement on-site scheduling adjustments by prompting management personnel.

11. The system according to claim 1, characterized in that The business application layer also includes BIM model mounting support module, video monitoring module, personnel management system, vehicle management module, safety management module, violation analysis and monitoring system, engineering management module, and background management system; BIM model mounting support module, used for the integrated loading, management, scheduling, rendering of large-scale engineering models, spatial data, simulation data and various scene visualization data, and the construction and presentation of visualization scenes; Highlight the simulated display of people and vehicles entering and leaving the factory gate, with all participating units providing relevant data; Video monitoring module, used to realize real-time streaming of video monitoring. The video monitoring module can connect to various monitoring cameras to realize any one or more of the following functions: real-time monitoring of personnel, vehicles, and implementation sites through the video monitoring module; real-time playback, historical playback, and snapshot of monitoring videos; direct management of security monitoring equipment, points, configurations, etc. The personnel management module is used to connect to the gate module, extract personnel entry and exit information, and collect and display workers' entry and exit information in real time; Displays real-time working hours, attendance rate, and entry and exit records of personnel; also provides working hours trend analysis and real-time personnel distribution map on the construction site to facilitate management personnel to make decisions; also used for management personnel to import back-end data to achieve on-site personnel management; The vehicle management module is used to connect to the vehicle entry and exit management module, extract vehicle entry and exit information within the preset time period, conduct real-time monitoring of vehicles, vehicle unit management, vehicle information management, speed measurement record management, and manage illegal vehicles on the project site, and stop and control illegal vehicles in a timely manner; Safety management module, which uses AI recognition technology to conduct real-time video analysis, automatically capture abnormal behaviors in high-risk operation areas, generate alarm information, and display hidden danger trends, providing safety risk rankings for construction sites; Violation analysis and monitoring module, which uses AI recognition technology to perform real-time video analysis, automatically identify illegal operations of people or vehicles, and generate alarm data and chart statistics; The project management module is used to obtain project management data in real time and generate statistical data including construction period completion rate, project progress, personnel input, point value statistics, negative excavation completion rate, etc. The backend management system is used to configure the data information displayed on the front end, and supports data addition, deletion, modification, and query, as well as data report import and export functions.

Images