Construction site visual management and collaborative operation system based on BIM

Abstract

The invention provides a BIM (Building Information Modeling)-based construction site visual management and collaborative operation system, which comprises a system architecture-based data integration and management module, a three-dimensional visual display module, a collaborative operation and communication module and an intelligent analysis and decision support module, and is characterized in that the data integration and management module is a data center of the system. Through data integration and management, BIM data and construction site data are comprehensively integrated, islands are eliminated, and data integrity and accuracy are improved; meanwhile, the BIM model and the live-action photo are fused and then imported into a GIS platform, so that three-dimensional visualization of the construction site is realized, a three-dimensional scene and the construction site are synchronized in real time, and data information of the construction site is dynamically displayed; the collaborative operation module promotes real-time communication and collaboration inside and outside a team, improves efficiency and safety, and guarantees information circulation; the intelligent analysis module deeply mines data, provides scientific decision support for managers, and significantly improves the construction management efficiency and accuracy.

Description

Technical Field

[0001] The present invention relates to the field of building information technology, and in particular to a BIM-based construction site visualization management and collaborative operation system. Background Art

[0002] With the rapid development of the construction industry, construction site management is facing more and more challenges. Traditional construction site management methods often rely on paper drawings, manual records and verbal communication, which is not only inefficient but also prone to errors. In recent years, with the rise of BIM technology, more and more construction projects have begun to adopt BIM models for design and construction management. BIM models can integrate all relevant information of construction projects, including geometric information, attribute information and metadata, providing strong data support for construction management.

[0003] However, the existing BIM-based construction site management system still has some shortcomings. For example, although some systems can import BIM model data, they lack the ability to integrate and manage other construction site data, resulting in serious data islands. Although some systems have made certain progress in three-dimensional visualization, they still need to be improved in terms of interaction methods and functional scalability. In terms of collaborative work and communication, although some systems provide basic communication functions, they lack real-time, security and convenience. In terms of intelligent analysis and decision support, although some systems can perform simple data analysis, they lack in-depth analysis and prediction capabilities and cannot provide project managers with scientific and accurate decision-making basis. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] Based on this, the present invention provides a BIM-based construction site visualization management and collaborative work system to solve the problems mentioned in the background technology, such as serious data islands, poor interactive experience and functional scalability of three-dimensional visualization, lack of real-time, security and convenience of collaborative work, and lack of in-depth analysis and prediction in analysis and decision-making.

[0006] (II) Technical solution

[0007] In order to achieve the above-mentioned purpose, the present invention provides a BIM-based construction site visualization management and collaborative operation system, including a data integration and management module, a three-dimensional visualization display module, a collaborative operation and communication module, and an intelligent analysis and decision support module;

[0008] The data integration and management module includes a BIM data import and analysis unit, a construction site data integration unit and a data management and control unit; the BIM data import and analysis unit supports the file formats exported by various BIM software to be accessed through an API interface or file import method; the process of BIM data analysis by the BIM data import and analysis unit includes model conversion, element identification and classification; the model conversion is to convert the format and lightweight processing of the imported BIM model, reduce data redundancy, improve loading speed, and maintain the integrity and accuracy of the BIM model information; the element identification and classification refers to the system analyzing and identifying the imported BIM model building elements and matching and classifying them according to a predefined classification system;

[0009] The model conversion includes the following steps:

[0010] Step 1: Simplify the geometry of the BIM model and remove unnecessary details;

[0011] Step 2: Compress the texture of the BIM model to reduce the amount of texture data;

[0012] Step 3: Optimize the geometric structure of the BIM model to ensure the completeness and accuracy of the information;

[0013] The matching classification includes classification system loading, attribute information traversal, rule matching, keyword search and comprehensive judgment; attribute information traversal refers to traversing the parsed BIM element attribute information and traversing the attributes of each element; rule matching refers to matching the attribute information of the element with the rules in the classification system, and the rules are based on the range, specific value or combination conditions of the attribute value; keyword verification refers to further verifying and confirming the classification of the element using keyword search technology on the basis of rule matching; comprehensive judgment refers to the need for comprehensive judgment if the element meets multiple classification rules or keywords at the same time; decision-making is made based on the priority of the rule and the attribute weight factor of the element, and finally the classification of the element is determined;

[0014] The construction site data integration unit supports the association of construction documents with BIM models, and quickly finds relevant construction drawings, quality inspection reports and other documents through a component or area in the BIM model;

[0015] The three-dimensional visualization display module includes a scene visualization unit and a construction data visualization unit. The scene visualization unit is used to merge the BIM model with the real-life photo, import it into the GIS platform, realize the three-dimensional visualization of the construction site scene, and synchronize the three-dimensional scene with the construction site in real time; the construction data visualization unit dynamically displays information on construction progress, quality, safety, etc. in the three-dimensional scene of the construction site.

[0016] Optionally, an edge collapsing algorithm is used to perform geometric simplification on the imported BIM model.

[0017] Optionally, the texture image of the imported BIM model is compressed using a DXT compression algorithm.

[0018] Optionally, repeated geometric elements of the imported BIM model are identified and merged through a hash function to achieve the purpose of deduplication, thereby optimizing the geometric structure of the imported BIM model.

[0019] Optionally, the data management and control unit includes data backup and recovery, data consistency verification, data quality control, data version management, version merging and conflict resolution, data security management, fine-grained authority control and audit log recording;

[0020] The data security management refers to the system encrypting data during transmission to prevent data leakage or malicious attacks; data encryption uses the AES symmetric encryption algorithm or the RSA asymmetric encryption algorithm, and data is transmitted using the SSL / TLS protocol during transmission.

[0021] Optionally, the collaborative work and communication module includes a task allocation and progress tracking unit, a communication and collaboration unit and a collaborative task management unit; the task allocation and progress tracking unit automatically or manually allocates tasks according to the construction progress and staffing, and tracks the task progress in real time; the communication and collaboration unit provides instant messaging, video conferencing, and file sharing functions, and supports real-time communication and collaboration within the project team and with other relevant parties; the collaborative task management unit records the task allocation, progress update, and communication record information during the collaboration process to form a complete collaboration history.

[0022] Optionally, the intelligent analysis and decision support module includes a data analysis and early warning unit, an optimization suggestion and decision support unit, and a prediction and trend analysis unit; the data analysis and early warning unit conducts in-depth analysis of construction site data, identifies potential problems and risks, and issues early warning information in a timely manner; the optimization suggestion and decision support unit provides suggestions such as construction process optimization and resource allocation optimization based on data analysis results, and supports project managers in making scientific decisions; the prediction and trend analysis unit uses machine learning algorithms to learn from historical data and predict future construction trends, providing forward-looking support for decision-making.

[0023] (III) Beneficial effects

[0024] It can be seen from the above technical solution that the BIM-based construction site visualization management and collaborative operation system proposed by the present invention has the following beneficial effects:

[0025] 1. Through the data integration and management module, comprehensive integration and management of BIM data and other construction site data are achieved, eliminating data silos and improving data integrity and accuracy.

[0026] 2. The BIM model and real-life photos are integrated and imported into the GIS platform to achieve 3D visualization of the construction site, so that the 3D scene is synchronized with the construction site in real time; information on construction progress, quality, safety, etc. is dynamically displayed in the 3D scene of the construction site to meet the diverse needs of users.

[0027] 3. The collaborative work and communication module enables real-time communication and collaboration within the project team and with other relevant parties, improving communication efficiency and security.

[0028] 4. The intelligent analysis and decision support module conducts in-depth analysis and prediction of construction site data, providing project managers with a scientific and accurate basis for decision-making, significantly improving the efficiency and accuracy of construction management.

[0029] 5. Compared with the prior art, the BIM-based construction site visualization management and collaborative operation system of the present invention has more comprehensive functions, more convenient user experience, and more intuitive three-dimensional visualization of construction scenes and data information. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The features and advantages of the present invention will be more clearly understood by referring to the accompanying drawings, which are schematic and should not be construed as limiting the present invention in any way. In the accompanying drawings:

[0031] Figure 1 A system block diagram of an embodiment of the present invention. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] like Figure 1 As shown, the BIM-based construction site visualization management and collaborative operation system of the present invention includes a data integration and management module based on the system architecture, a three-dimensional visualization display module, a collaborative operation and communication module, and an intelligent analysis and decision support module.

[0034] The data integration and management module is the data center of the system. It adopts distributed database and cloud storage technology for the integration, storage and management of BIM data and other construction site data. It includes BIM data import and analysis unit, construction site data integration unit and data management and control unit.

[0035] The BIM data import and analysis unit is used to import the BIM model data of the building project into the system, and store the BIM model data in the BIM database after analysis and processing for use by subsequent modules. BIM model data import supports file formats (such as IFC, DWG, RVT, etc.) exported by various BIM software (such as Revit, AutoCAD, SketchUp, etc.), and achieves seamless access through API interface or file import.

[0036] BIM data analysis includes model conversion, element identification and classification. Model conversion is to convert the format and lightweight processing of the imported BIM model, reduce data redundancy, improve loading speed, and maintain the integrity and accuracy of the model information. Specifically include:

[0037] Step 1: Simplify the geometry of the BIM model and remove unnecessary details;

[0038] In this embodiment, an edge collapsing algorithm is used to geometrically simplify the model.

[0039] Step 2: Compress the texture of the BIM model to reduce the amount of texture data;

[0040] In this embodiment, the DXT compression algorithm is used to compress the texture image.

[0041] Step 3: Optimize the geometric structure of the BIM model to ensure the completeness and accuracy of the information.

[0042] In this embodiment, the repeated geometric elements are identified and merged through the hash function to achieve the purpose of deduplication, thereby optimizing the geometric structure of the BIM model. For geometric elements with the same hash value, one is retained and the other repeated elements are deleted.

[0043] Element recognition and classification refers to the system parsing and identifying the imported BIM model building elements (including geometric information, material information, texture information and attribute information) and matching and classifying them according to the predefined classification system. In this embodiment, the classification system matches and classifies according to the parsed attribute information. The categories include main categories such as main structure, building components, facilities and equipment, and decorative elements. The main categories can also be subdivided. For example, building components include doors, windows, beams, columns, stairs, handrails, etc. In addition, the elements in the BIM model can also be classified through machine learning.

[0044] Matching classification includes classification system loading, attribute information traversal, rule matching, keyword search and comprehensive judgment. Classification system loading refers to loading a predefined classification system, including rules and keywords for each category. Attribute information traversal refers to traversing the parsed BIM element attribute information and traversing the attributes of each element. Rule matching refers to matching the attribute information of an element with the rules in the classification system, and the rules are based on the range, specific value or combination conditions of the attribute value. Keyword verification refers to further verifying and confirming the classification of an element using keyword search technology on the basis of rule matching. Comprehensive judgment means that if an element meets multiple classification rules or keywords at the same time, a comprehensive judgment is required; decisions are made based on the priority of the rules and the attribute weight factors of the element, and the classification of the element is finally determined. According to the matching results, each element is classified into the corresponding category in the classification system, and the classified elements and their classification information are stored in the database, and the database sets the data structure and index mechanism.

[0045] As a specific embodiment, the system imports the model data of a door element from the BIM software, and the file format is IFC. First, the system recognizes that the file format is IFC, and then selects the corresponding IFC parser to read the model data to obtain the data of the door element. The data of the door element includes geometric information, material information, texture information, and attribute information.

[0046] The geometric information includes point information, line information and surface information. Point information refers to the coordinates of the four corner points of the door; line information refers to the line segments connected by these corner points, which describe the border of the door; surface information refers to the rectangular surface surrounded by these line segments, which represents the surface of the door. These point, line and surface information can be converted into data formats for 3D rendering, such as triangle mesh or polygon mesh.

[0047] The material information includes the material name, type, color and glossiness; the color is a specific RGB value or a color name; the glossiness is a value between 0 and 1, indicating the smoothness of the material. In this embodiment, the material name is "solid wood frame, composite door panel", the type is "wood", the color is "wood color", and the glossiness is "0.6". The texture information is the texture image path or the binary data of the texture image. In this embodiment, the texture information is " / textures / wood_door.jpg". When performing 3D rendering later, the material and texture information are applied to the geometric model of the door to make the appearance of the door realistic.

[0048] The attribute information includes name, type, specification, manufacturer, and installation date. In this embodiment, the name is "bedroom door", the type is "door", the specification is "0.9m*2.1m", the manufacturer is "XXX Door Company", and the installation date is "2023-05-01". The attribute information is extracted and organized into a structured data format.

[0049] The process of matching classification is as follows: First, load a predefined classification system, and the categories include doors, windows, and walls. As a specific embodiment, the category is "door", the rule is "name contains 'door' and type is equal to 'door'", and the keywords include "door", "door leaf", "door frame", "wooden door", "steel door", etc. Secondly, traverse the attribute information of the element and match it with the rules in the classification system. In this embodiment, the attribute information of the element is: name "bedroom door", type "door", specification "0.9m*2.1m", manufacturer "XX Door Industry Company", and installation date is "2023-05-01". Traversing the attribute information of the element, the name contains "door" and the type is equal to "door", which meets the rules of the "door" category. Preliminary judgment shows that the door element may belong to the "door" category. Then, based on the rule matching, keywords are further used for verification. In this example, the element name "bedroom door" contains the keyword "door" of the "door" category; although the element material "solid wood frame, composite door panel" does not directly find the keyword under the "door" category, "solid wood frame" and "composite door panel" are both words related to doors, which further increases the probability that the element is classified as the "door" category. The results of rule matching and keyword verification show that the element of this example is classified as the "door" category. Finally, the element is added to the corresponding category in the classification system.

[0050] After classification, a database is used to store the element information of the BIM model.

[0051] The construction site data integration unit is used to integrate the real-time data and construction documents of the construction site to achieve unified management and analysis of the construction site data.

[0052] Real-time data includes sensor data, video surveillance data, personnel and equipment data, etc. Sensors include temperature and humidity sensors deployed in key equipment or areas, which transmit data to this system via wired (usually using serial communication protocols such as RS-232, RS-485, etc.) or wireless (such as Wi-Fi, Bluetooth, LoRa, etc.). Sensor data processed by steps such as data filtering, data sampling, and data encoding are used to reflect the environmental conditions and equipment operating status of the construction site in real time. Personnel and equipment data record the basic information, attendance of construction site personnel, and the use status and maintenance records of equipment, providing data support for resource allocation and safety management. Personnel management includes recording the basic information of construction site personnel (such as name, type of work, contact information, etc.) and using the attendance system to record the attendance of personnel in order to conduct work time statistics and personnel management. Equipment management includes recording the basic information of construction site equipment (such as equipment name, model, manufacturer, etc.), using sensors or monitoring systems to monitor the use status and operating parameters of equipment (such as working hours, workload, energy consumption, etc.), and recording equipment maintenance records for equipment maintenance and troubleshooting.

[0053] The system supports the electronic storage and management of construction documents such as construction drawings, construction logs, and quality inspection reports, and realizes the association with BIM models for easy access and traceability. The integration of construction documents includes document digitization, document classification and storage, and association with BIM models. Document digitization is the conversion of paper documents into electronic documents for easy storage, retrieval, and sharing. It can be achieved by scanning or taking photos, and OCR technology is used to perform text recognition on images to improve retrieval efficiency. Document classification and storage is to organize electronic documents according to certain classification standards, such as by project, engineering location, process, etc., and store them in a dedicated server or cloud storage. Association with BIM models is to associate construction documents with BIM models to achieve rapid location and access to documents. For example, quickly find relevant construction drawings, quality inspection reports and other documents through a component or area in the BIM model.

[0054] The data management and control unit includes data backup and recovery, data consistency verification, data quality control, data version management, version merging and conflict resolution, data security management, fine-grained permission control and audit log recording.

[0055] Data backup and recovery refers to the system automatically backing up data regularly and providing a fast data recovery mechanism to deal with possible data loss or damage. Data consistency check refers to the system implementing a data consistency check mechanism to ensure the integrity and accuracy of data during transmission and storage. Data quality control refers to the system setting data validation rules, performing legitimacy checks and preprocessing on input data, such as value range validation and format validation, and providing data cleaning tools to identify, mark and correct abnormal or erroneous data. Data cleaning tools perform operations such as deduplication and filling missing values ​​(including mean filling, median filling, minimum filling, maximum filling, and front and back value filling). Data version management refers to automatically recording data versions every time data is updated, and supporting comparison and backtracking between versions to facilitate tracking of data change history. Version merging and conflict resolution refers to the system providing a version merging function, which can automatically or manually resolve data conflicts when multiple people edit the same data at the same time to ensure data uniqueness and consistency. Data security management refers to the system encrypting data transmission to prevent data leakage or malicious attacks. In this embodiment, data encryption uses AES symmetric encryption algorithm or RSA asymmetric encryption algorithm; in order to ensure the security of data during transmission, SSL / TLS (Secure Sockets Layer / Transport Layer Security) protocol is used for transmission. Fine-grained permission control means that the system sets different data access rights according to user roles and responsibilities to achieve fine-grained permission control. User roles in the system include administrators, editors, and viewers, etc., and permissions include viewing, editing, and deleting. When a user tries to access data, the system checks its role and permissions to decide whether to allow access. Audit log recording means that the system records the user's operation behavior on data, including access, modification, and deletion, forming an audit log to facilitate tracking and tracing data operation behavior. When a user performs a data operation, the system records the operation type, operation time, operation object, user identity and other information, stores it in the log database, and regularly analyzes the log to detect abnormal operations or potential security threats.

[0056] The three-dimensional visualization display module includes a scene visualization unit and a construction data visualization unit. The scene visualization unit is used to combine the BIM model with the real-life photos, build a visualization three-dimensional platform on the GIS engine platform, and display the three-dimensional scene of the construction site. The construction site is photographed through data acquisition equipment such as high-definition cameras or panoramic cameras to obtain real-time images of the construction site; the collected real-life photos are pre-processed, including image enhancement and denoising, to improve image quality; the real-life photos are integrated with the BIM model, and the markers in the real-life photos are matched with the corresponding elements in the BIM model through algorithms such as target detection models to achieve the fusion of the real scene and the BIM model; then the BIM model fused with the real-life photos is imported into the GIS platform to achieve three-dimensional visualization of the construction site scene, so that the three-dimensional scene is synchronized with the construction site in real time. The construction data visualization unit calls the construction data of the data integration and management module to dynamically display information on construction progress, quality, safety, etc. in the three-dimensional scene of the construction site, so that all parties can keep abreast of the latest situation of the construction site.

[0057] The collaborative work and communication module uses real-time communication technology and a distributed collaboration framework to achieve real-time communication and collaboration within the project team and with other stakeholders; it includes a task assignment and progress tracking unit, a communication and collaboration unit, and a collaborative task management unit. The task assignment and progress tracking unit automatically or manually assigns tasks based on the construction progress and staffing, and tracks the progress of tasks in real time. The communication and collaboration unit provides instant messaging, video conferencing, and file sharing functions to support real-time communication and collaboration within the project team and with other stakeholders. The collaborative task management unit records the task assignment, progress update, and communication record information during the collaboration process to form a complete collaboration history.

[0058] The intelligent analysis and decision support module uses data mining and machine learning technology to conduct in-depth analysis and prediction of construction site data. The module adopts a modular design to facilitate the update and expansion of algorithms and models; provides visual analysis reports and charts to intuitively display analysis results and suggestions; and provides an interactive analysis interface that allows users to customize analysis conditions and view analysis results. The intelligent analysis and decision support module includes a data analysis and early warning unit, an optimization suggestion and decision support unit, and a prediction and trend analysis unit. The data analysis and early warning unit conducts in-depth analysis of construction site data, identifies potential problems and risks, and issues early warning information in a timely manner. Based on the data analysis results, the optimization suggestion and decision support unit provides suggestions such as construction process optimization and resource allocation optimization to support project managers in making scientific decisions. The prediction and trend analysis unit uses machine learning algorithms to learn from historical data and predict future construction trends, providing forward-looking support for decision-making.

[0059] The working process of the embodiment of the present invention is as follows:

[0060] S1: Collect and store construction site data and dynamically manage the construction site data;

[0061] Construction site data includes BIM models, real-time data on the construction site, and construction documents. BIM models can be built or imported by the system. The system analyzes the BIM model and stores it in the database. BIM models can be updated during the construction phase to reflect the actual situation on the construction site.

[0062] S3: After integrating the BIM model with the real-life photos, the model is imported into the GIS platform to build a 3D visualization scene of the construction site, and the information on construction progress, quality, safety, etc. is dynamically displayed in the 3D scene of the construction site;

[0063] S4: Update construction site data in real time; personnel from all parties can collaborate and communicate through the system;

[0064] S5: The system conducts decision analysis based on construction site data, displays analysis results and suggestions, and issues early warning information for potential risks.

[0065] The present invention eliminates data islands by integrating BIM data and other construction site data; integrates BIM models and real-life photos and imports them into the GIS platform to achieve three-dimensional visualization and information interaction of the construction site; adopts real-time communication technology and a distributed collaboration framework to improve the efficiency and security of communication within the project team and with other relevant parties; conducts in-depth analysis and prediction of construction site data, provides scientific and accurate decision-making basis for project managers, and significantly improves the efficiency and accuracy of construction management. Compared with the prior art, the present invention has more comprehensive functions, more convenient user experience, and more intuitive three-dimensional visualization of construction scenes and data information.

[0066] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A BIM-based construction site visualization management and collaborative operation system, characterized in that: It includes data integration and management module, 3D visualization display module, collaborative operation and communication module, intelligent analysis and decision support module; The data integration and management module includes a BIM data import and analysis unit, a construction site data integration unit and a data management and control unit; the BIM data import and analysis unit supports the file formats exported by various BIM software to be accessed through an API interface or file import method; the process of BIM data analysis by the BIM data import and analysis unit includes model conversion, element identification and classification; the model conversion is to convert the format and lightweight processing of the imported BIM model, reduce data redundancy, improve loading speed, and maintain the integrity and accuracy of the BIM model information; the element identification and classification refers to the system analyzing and identifying the imported BIM model building elements and matching and classifying them according to a predefined classification system; The model conversion includes the following steps: Step 1: Simplify the geometry of the BIM model and remove unnecessary details; Step 2: Compress the texture of the BIM model to reduce the amount of texture data; Step 3: Optimize the geometric structure of the BIM model to ensure the completeness and accuracy of the information; The matching classification includes classification system loading, attribute information traversal, rule matching, keyword search and comprehensive judgment; attribute information traversal refers to traversing the parsed BIM element attribute information and traversing the attributes of each element; rule matching refers to matching the attribute information of the element with the rules in the classification system, and the rules are based on the range, specific value or combination conditions of the attribute value; keyword verification refers to further verifying and confirming the classification of the element using keyword search technology on the basis of rule matching; comprehensive judgment refers to the need for comprehensive judgment if the element meets multiple classification rules or keywords at the same time; decision-making is made based on the priority of the rule and the attribute weight factor of the element, and finally the classification of the element is determined; The construction site data integration unit supports the association of construction documents with BIM models, and quickly finds relevant construction drawings, quality inspection reports and other documents through a component or area in the BIM model; The three-dimensional visualization display module includes a scene visualization unit and a construction data visualization unit. The scene visualization unit is used to merge the BIM model with the real-life photo, import it into the GIS platform, realize the three-dimensional visualization of the construction site scene, and synchronize the three-dimensional scene with the construction site in real time; the construction data visualization unit dynamically displays information on construction progress, quality, safety, etc. in the three-dimensional scene of the construction site.

2. The system according to claim 1, characterized in that The imported BIM model is geometrically simplified using an edge collapsing algorithm.

3. The system according to claim 2, characterized in that The texture image of the imported BIM model is compressed using a DXT compression algorithm.

4. The system according to claim 3, characterized in that The repeated geometric elements of the imported BIM model are identified and merged through a hash function to achieve the purpose of deduplication, thereby optimizing the geometric structure of the imported BIM model.

5. The system according to claim 1, characterized in that The data management and control unit includes data backup and recovery, data consistency verification, data quality control, data version management, version merging and conflict resolution, data security management, fine-grained authority control and audit log recording; The data security management refers to the system encrypting data during transmission to prevent data leakage or malicious attacks; data encryption uses the AES symmetric encryption algorithm or the RSA asymmetric encryption algorithm, and data is transmitted using the SSL / TLS protocol during transmission.

6. The system according to claim 1, characterized in that The collaborative work and communication module includes a task allocation and progress tracking unit, a communication and collaboration unit and a collaborative task management unit; the task allocation and progress tracking unit automatically or manually allocates tasks according to the construction progress and personnel allocation, and tracks the task progress in real time; the communication and collaboration unit provides instant messaging, video conferencing, and file sharing functions to support real-time communication and collaboration within the project team and with other relevant parties; the collaborative task management unit records the task allocation, progress update, and communication record information during the collaboration process to form a complete collaboration history.

7. The system according to claim 1, characterized in that The intelligent analysis and decision support module includes a data analysis and early warning unit, an optimization suggestion and decision support unit, and a prediction and trend analysis unit; the data analysis and early warning unit conducts in-depth analysis of construction site data, identifies potential problems and risks, and issues early warning information in a timely manner; the optimization suggestion and decision support unit provides suggestions such as construction process optimization and resource allocation optimization based on data analysis results, and supports project managers in making scientific decisions; the prediction and trend analysis unit uses machine learning algorithms to learn from historical data and predict future construction trends, providing forward-looking support for decision-making.

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