Intelligent building construction management system and method based on BIM scene construction

Abstract

The invention provides an intelligent building construction management system and method based on BIM scene construction, and relates to the technical field of building construction management. In the construction process, the management system collects mass data in real time by means of sensing layers spread all over key nodes of a construction site; the method comprises the following steps of: transmitting operation parameters of construction equipment, operation dynamics of constructors, consumption rate of materials and change of a field environment to a data processing center, accurately positioning a low-efficiency waiting problem existing in a material transfer link through deep analysis of a big data processing engine and an artificial intelligence algorithm library, recommending an optimization scheme, and improving the efficiency of material transfer. According to the method, the hoisting sequence is adjusted, unnecessary working hour loss is reduced, by means of a BIM model platform, a construction plan is presented in a visual mode, and the management system can rapidly generate and recommend and flexibly deploy construction team personnel, optimize the construction process sequence, ensure construction coherence, reduce construction delay and shorten the construction period.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent building construction management systems and methods based on BIM scenarios, and particularly to intelligent building construction management systems and methods based on BIM scenarios. Background Art

[0002] With the development of the construction industry, construction projects have become increasingly complex, involving numerous participants and a vast amount of data. There are many problems with traditional construction management methods, such as poor information transmission, low collaborative efficiency, and difficulties in progress and cost control, resulting in extended construction periods, increased costs, and difficult-to-guarantee quality. As a digital and integrated information management tool, BIM technology can provide strong support for building construction management. However, currently, the functions of construction management systems based on BIM scenarios are relatively single, making it difficult to meet the growing demand for intelligent management. They lack real-time data collection and analysis, as well as intelligent decision-making assistance functions, failing to fully utilize the application value of BIM in construction management.

[0003] The existing building construction management system and management method based on BIM with the authorized announcement number CN114897507A belong to the field of building construction technology, including an information collection unit, an information identification unit, a BIM modeling unit, an evaluation and analysis unit, a supervision and early warning unit, and a cloud database. To solve the problem of inability to achieve automated supervision, during building construction, users cannot clearly understand the construction progress of the building and cannot make corresponding maintenance adjustments in a timely manner for sudden situations, reducing the safety of building construction operations. The building construction management system and management method based on BIM of the present invention facilitate automated supervision of construction information, enabling users to more clearly understand the construction progress of the building, making corresponding strategies and maintenance adjustments for specific reasons, ensuring the safe progress of building construction, real-time supervision of the construction progress of the building, ensuring the safe and orderly progress of building construction, and giving early warnings for abnormal construction situations to ensure the safety of construction operations. However, during the construction process, the specific construction information of each construction location cannot be reflected, and at the same time, the information cannot be timely pushed to all construction participants.

[0004] To solve the above problems, the present invention provides an intelligent building construction management system and method based on BIM scenario construction, aiming to achieve intelligent management of the entire process of building construction by deeply integrating BIM technology with advanced technologies such as the Internet of Things, big data, and artificial intelligence, improving construction efficiency, reducing costs, and ensuring quality and safety. Summary of the Invention

[0005] To overcome the above-mentioned defects of the prior art, embodiments of the present invention provide an intelligent building construction management system and method based on BIM scenario construction for solving the problems raised in the above background art.

[0006] To achieve the above object, the present invention proposes an intelligent building construction management system and method based on BIM scenario construction, including:

[0007] Data acquisition module: used to collect various types of data on the construction site in real time, including sensor data, image and video data, document and table data;

[0008] Data processing and storage module: used to clean, integrate and store the collected data, and build a complete construction data warehouse;

[0009] Intelligent analysis and decision-making module: based on BIM model and big data analysis technology, deeply excavate and intelligently analyze the construction data, and provide a scientific basis for construction decision-making;

[0010] Collaborative management module: used to establish an information sharing platform, allocate task information, and conduct collaborative management of construction projects;

[0011] User interaction module: used to provide an intuitive and convenient operation interface for users, enabling users to easily access and use system functions.

[0012] In one example, the sensor data comes from environmental sensors, displacement sensors, and pressure sensors, where:

[0013] The environmental sensor monitors environmental parameters such as temperature, humidity, light intensity, and harmful gas concentration on the construction site in real time, providing a basis for construction environment regulation and personnel safety protection;

[0014] The displacement sensor is installed on large building components, tower cranes, and construction elevator equipment to accurately measure their displacement, settlement, and inclination states, preventing the risks of structural collapse and equipment overturning;

[0015] The pressure sensor is placed at the bearing parts of the scaffolding and supporting formwork to real-time feedback the bearing pressure and ensure construction safety.

[0016] In one example, the acquisition of the image and video data is carried out by using high-definition camera equipment to comprehensively cover the construction site and real-time shoot the images and videos of the construction site, which are used to monitor the construction progress, safety conditions, and personnel behaviors, and automatically identify personnel's illegal operations, non-standard material stacking, and abnormal fire and smoke conditions through image recognition technology.

[0017] In one example, the acquisition of the document and table data is to automatically collect various types of documents and tables during the construction process, such as construction logs, quality inspection records, and cost statements, to ensure the integrity and accuracy of the data.

[0018] In one example, the data cleaning refers to removing outliers, duplicate data, and noisy data to ensure data quality; the data integration refers to integrating data from different sources and in different formats, establishing a unified data model, and achieving data interoperability; the data storage refers to using distributed storage technology to store data in cloud servers to ensure data security, reliability, and scalability.

[0019] In one example, the intelligent analysis and decision-making module includes progress analysis and prediction, cost analysis and control, and quality and safety analysis, where:

[0020] The progress analysis and prediction is to predict the construction progress trend by analyzing historical construction data and real-time progress information, discover potential progress delay risks in advance, and propose corresponding optimization measures;

[0021] The cost analysis and control is to conduct multi-dimensional analysis of construction cost data, find out the reasons for cost overruns, optimize resource allocation, and achieve effective cost control;

[0022] The quality and safety analysis is to use the BIM model and quality inspection data to monitor and analyze the construction quality in real time and discover quality problems in a timely manner; at the same time, combined with safety monitoring data, evaluate the construction safety risks and formulate safety prevention measures.

[0023] In one example, the information sharing platform enables the participating parties such as the construction unit, the construction company, the supervision unit, and the design unit to view and share construction information in real time, reducing the intermediate links of information transmission; the collaborative task management is to ensure that each participating party can clarify their work responsibilities and task progress through the task assignment and tracking function, and jointly promote the smooth progress of the construction project.

[0024] In one example, the visual display is to combine the BIM model with construction data using three-dimensional visualization technology to intuitively display the construction progress, quality status, and cost distribution information, helping users quickly grasp the construction situation; the interactive operation provides rich interactive functions, such as model browsing, data query, and report generation, enabling users to flexibly obtain and analyze construction data according to their needs.

[0025] An intelligent building construction management method based on the BIM scenario includes the following steps:

[0026] S1: Before the construction starts, deploy a data collection module to collect various types of data at the construction site in real time, and clean, integrate, and store them through a data processing and storage module to build a complete construction data warehouse;

[0027] S2: Use the intelligent analysis and decision-making module to deeply mine and intelligently analyze the construction data, generate progress analysis reports, cost analysis reports, quality and safety analysis reports, and provide a scientific basis for construction decisions.

[0028] S3: Through the collaborative management module, share the analysis results and decision-making plans with all participating parties, and collaborate with all participating parties to execute the corresponding construction tasks to ensure the smooth progress of the construction project.

[0029] S4: During the construction process, continuously collect and analyze the construction data, real-time monitor the construction progress, cost, quality and safety status, and optimize and adjust the construction plan according to the actual situation to improve the construction efficiency and quality.

[0030] The intelligent building construction management system and method based on BIM scenario construction proposed by the present invention can bring the following beneficial effects:

[0031] 1. During the construction process, relying on the perception layer distributed at various key nodes of the construction site, the management system can collect a large amount of data in real time, covering the operating parameters of construction equipment, the operation dynamics of construction personnel, the consumption rate of materials, and the changes in the on-site environment. These data are transmitted to the data processing center, and through the in-depth analysis of the big data processing engine and the artificial intelligence algorithm library, the inefficient problems existing in the material transfer link can be accurately located, optimization plans are recommended, the lifting order is adjusted, unnecessary man-hour losses are reduced, and with the help of the BIM model platform, the construction plan is presented in a visual form. The management system can quickly generate and recommend measures such as flexibly deploying construction team personnel and optimizing the construction process sequence to ensure the continuity of construction, reduce construction delays, and shorten the construction period.

[0032] 2. Calculate the material requirements for each construction stage based on the BIM model to avoid capital occupation caused by over-purchasing materials or work stoppages due to insufficient supply. In terms of equipment management, by real-time monitoring the operating status, maintenance cycle, and energy consumption data of construction equipment, the system can intelligently dispatch equipment resources according to the priority of construction tasks and the idle situation of equipment, reduce the idle time of equipment, and reduce equipment rental costs and maintenance expenses. In terms of personnel management, according to the construction progress requirements and personnel skill files, reasonably arrange the construction team personnel to avoid redundant personnel and achieve the optimal allocation of human resources.

[0033] 3. At the quality control level, quality inspectors rely on the BIM model to accurately locate quality inspection points. For concrete strength, steel bar spacing, and weld quality indicators, with the help of non-destructive testing equipment connected by the Internet of Things, the test data is automatically and real-time associated with the model entity, realizing the visual presentation and dynamic update of quality data. In terms of safety guarantee, the environmental, equipment, and personnel data collected by the perception layer flow into the safety management module in real time and are strictly compared and verified with the preset safety thresholds. Once dangerous signals such as excessive harmful gas concentration, over-limit tower crane tilt, and personnel entering dangerous areas occur, the system prominently highlights the dangerous positions on the BIM model and sends audible and visual alarm messages to on-site personnel and management personnel.

[0034] 4. The present invention breaks the information silos among all participating parties in traditional building construction and constructs an efficient and unobstructed information sharing bridge. Through the BIM model platform as the core information carrier, personnel from design units, construction units, supervision units, and owners can all access and update building information related to their responsibilities in real time. Personnel in each position only need to operate according to the system guidance in their daily work to automatically complete a series of collaborative actions such as information reporting, task receiving, and instruction issuing, without the need for cumbersome offline communication and coordination. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The drawings described herein are used to provide a further understanding of the present invention and form a part of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation to the present invention. In the drawings:

[0036] Figure 1 It is a schematic diagram of the module connection of the intelligent building construction management system and method based on the BIM scenario of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0037] In order to more clearly and completely illustrate the technical solution of the present invention, the present invention will be further described below with reference to the drawings.

[0038] Please refer to Figure 1 , the present invention proposes an intelligent building construction management system based on the BIM scenario, including:

[0039] The data acquisition module is at the forefront of the entire system architecture and shoulders the important task of accurately, comprehensively, and real-time collecting various types of data at the construction site, providing basic support for subsequent data transmission, processing, analysis, and the realization of system functions, and is the key starting link to ensure the efficient operation of the system.

[0040] The environmental sensor includes a temperature and humidity sensor, which can sensitively capture the temperature and humidity changes in every corner of the construction site. Its measurement accuracy can reach ±0.5°C and ±3%RH, providing accurate environmental data reference for concrete curing and paint drying construction processes, ensuring that the construction quality is not interfered by environmental factors. The light sensor can accurately sense the light intensity, with a coverage range of 0 - 200,000 lux. According to the lighting requirements of different construction areas, such as the fine assembly area and the material stacking area, it intelligently regulates the lighting equipment to ensure the visual working conditions of construction workers and improve work efficiency. The harmful gas sensor is aimed at common harmful gases such as formaldehyde, benzene, and sulfur dioxide at the construction site. The detection lower limit is as low as 0.1 ppm, which can monitor the air quality in real time. Once it exceeds the standard, it will immediately trigger an alarm to protect the life and health safety of construction workers.

[0041] Pressure sensors are distributed at key bearing parts such as scaffolding, formwork supports, and tower crane bases, with a measuring range of 0 - 1000 kN, customized according to the force characteristics of the installation position, and the measurement accuracy is ±0.1%F.S. It can provide real-time feedback on the structural bearing pressure to prevent collapse accidents caused by overload. The strain gauge sensors are attached to the surfaces of large building components, such as steel beams and concrete columns, to accurately measure the force deformation of the components. The strain measurement accuracy can reach ±1 με, and it is linked with the BIM model in real time to visually present the structural health status.

[0042] Displacement sensors are installed at positions such as the tower crane boom, construction elevator guide rails, and the outer walls of high-rise buildings, with a measurement range of 0 - 50 m and an accuracy of ±1 mm. It can monitor the displacement, settlement, and inclination states of equipment and building structures in real time to ensure construction safety. The inclination sensor has an accuracy of ±0.05°, and is installed on the tower crane body and the gantry to assist in monitoring the inclination angle and ensure the vertical and stable operation of the equipment.

[0043] The high-definition panoramic camera has a resolution of up to 4K and can cover key areas of the construction site, such as the entrance and exit, material processing area, and tower crane operation area, without dead angles of 360°. It has an intelligent image recognition function, which can automatically identify the wearing situation of safety helmets and the fastening status of safety belts of personnel, with an identification accuracy rate of over 95%. It can also distinguish whether the material stacking is compliant and whether the construction equipment is operating normally. Once an abnormality is found, it will immediately capture images and upload alarm information.

[0044] The special smartphones or tablets equipped for construction workers are durable, waterproof, dustproof, and drop-resistant, meeting the complex and harsh environment of the construction site. They are built-in with high-performance GPS modules, and the positioning accuracy can reach ±5 m in open areas, tracking the positions of construction workers in real time to optimize personnel scheduling. They are equipped with a convenient data entry interface, and construction workers can quickly input on-site construction progress, such as the amount of concrete poured and the number of layers of steel bar binding completed, as well as the description of quality problems found and the situation of material usage losses. It supports functions such as taking pictures and voice input, simplifying the data collection process and improving the timeliness of information collection.

[0045] The data processing and storage module undertakes the massive amount of raw data from the data acquisition module and shoulders the heavy responsibility of deeply analyzing, efficiently organizing, and securely storing the data, providing a solid data foundation for the upper-layer applications of the system. It is the key core link to achieve intelligent construction management decision-making.

[0046] Perform multi-dimensional cleaning operations on the received data. Use rule-based filtering algorithms to remove obviously incorrect or abnormal data. For data missing situations, adopt linear interpolation and mean filling methods for repair. Unify the conversion of data in different formats and units, such as converting the data of pressure sensors from imperial units to metric units, to make all kinds of data consistent and facilitate subsequent analysis and processing.

[0047] Apply big data analysis technologies, such as Hive and Spark distributed computing frameworks, to deeply mine the cleaned data. Analyze the construction progress data based on time series to predict future construction trends and identify potential project delay risks in advance. Through association rule mining algorithms, analyze the internal relationships between material consumption, construction technology, and project progress, and find potential cost optimization points. Use clustering analysis to group the operation behavior data of construction workers to identify efficient and inefficient operation modes, assist in formulating personnel training strategies, and improve the overall construction efficiency. Establish an efficient indexing mechanism, adopt B-tree and inverted index data structures, and quickly index various types of data to ensure that the required information can be quickly located in the massive data.

[0048] The intelligent analysis and decision-making module is based on the massive and accurate data provided by the data processing and storage module. It integrates cutting-edge artificial intelligence, machine learning algorithms, and industry experts' experience and knowledge to dynamically monitor and deeply analyze the whole process of building construction, and then accurately and quickly generate scientific and reasonable decision-making suggestions, providing strong intellectual support for construction management personnel and leading the entire building project to steadily advance in the direction of high efficiency, high quality, and safety.

[0049] Integrate a variety of advanced algorithms, including but not limited to deep learning neural networks. The convolutional neural network CNN is used for image recognition to accurately identify safety hazards at the construction site, such as the scenes of not wearing safety helmets correctly and illegal hot work operations. The recurrent neural network RNN and its variants, the long short-term memory network LSTM and the gated recurrent unit GRU, are used for time series analysis to deeply analyze the construction progress data, predict the risk of construction delays, and increase the early warning accuracy by 30%. Mine the hidden associations between material consumption, equipment operation status, construction quality, and progress, providing key clues for resource optimization allocation.

[0050] Acquire the latest data of the construction site in real time, including real-time operating parameters of equipment, real-time location and working status of personnel, real-time inventory and consumption rate of materials. Based on these data, the real-time changes of key construction indicators are intuitively presented in the form of dynamic charts and heat maps on the visual interface, allowing construction management personnel to understand the real-time situation on site at a glance and discover potential abnormalities in time.

[0051] Intelligent algorithms are used to conduct in-depth analysis of real-time data, identify various types of potential risks, and set multi-dimensional risk thresholds, covering safety risks, progress risks, quality risks, and cost risks. When the tower crane inclination angle exceeds the safety threshold of 0.5°, the construction progress lags behind the planned progress by 10%, the concrete compressive strength is 5% lower than the design standard, and the material cost exceeds the budget by 8%, an audible and visual alarm is immediately triggered, and early warning information is sent to relevant responsible persons through multiple channels such as SMS and APP push, detailing the risk type, location, severity, and possible consequences.

[0052] Based on the identified risk issues and optimization needs in construction management, we generate personalized and precise decision-making optimization suggestions, adjust the configuration of construction team personnel, transfer skilled workers from other relatively relaxed processes to support key processes, optimize the construction sequence, and carry out parallel processes in advance that do not affect the overall logic.

[0053] The collaborative management module is committed to breaking down the information barriers between the various parties involved in the construction process, realizing efficient information sharing and collaborative work among multiple parties such as design units, construction units, supervision units, and owners on the same platform, optimizing project processes, improving communication efficiency, and ensuring seamless connection and smooth progress of the entire process of construction projects from planning and design to completion acceptance.

[0054] A cloud-based collaborative management platform is built to provide a unified access portal for all parties. It can be accessed anytime and anywhere, whether through a computer or a mobile APP. The platform integrates the BIM model display function, presenting the overall picture of the building and the real-time construction status in a three-dimensional visual way, so that all parties can see the progress of the project at a glance. At the same time, the document management system is integrated to centrally store various project materials such as construction drawings, design change documents, contract documents, and construction logs to ensure the centralization and accessibility of information, and avoid poor communication and information loss due to scattered data.

[0055] Support real-time online communication among multiple parties. An instant messaging tool is built-in, covering functions such as text, voice, and video calls, meeting the communication needs in different scenarios. When construction workers find problems with the design drawings on-site, they can immediately take photos and mark them through the mobile APP, and initiate a video call with the designers with one key to communicate the solution in real time; when the supervision personnel find quality hazards during the inspection, they can quickly post a text notice on the platform to relevant responsible persons, requiring rectification within a time limit, and the rectification situation is feedback on the platform in real time, realizing the instant transmission and closed-loop management of information.

[0056] Push the real-time data of the construction site, equipment operation parameters, personnel location information, and material inventory dynamics to the corresponding authorized personnel in a visual manner. Designers can understand the implementation of the design scheme in actual construction based on this and optimize the design in a timely manner; the owner can real-time control the key indicators of project cost, progress, and quality, make reasonable decisions, and ensure that all parties work together based on the latest information.

[0057] From project establishment, design disclosure, construction plan compilation, engineering change approval to completion acceptance, the responsibilities, task delivery time nodes, and review processes of each participating party are clearly defined in each link. When a task in a certain link is completed, the system automatically triggers a task reminder for the next link and pushes it to the relevant responsible person to ensure the coherence and efficiency of the process.

[0058] Utilize the visualization and information integration advantages of the BIM model to discover and solve various conflict problems during the construction process in advance. Before construction, conduct collision detection through the BIM model to automatically identify design conflicts, pipe collisions, and insufficient space reservation among building structures, water supply and drainage, electrical, and HVAC specialties, generate a detailed report and push it to the design unit for optimization and adjustment to avoid rework during construction. During the construction process, if conflicts caused by changes in on-site conditions or adjustments to the construction sequence occur, all parties can rely on the BIM model to conduct real-time discussions, and jointly develop a solution in combination with the optimization suggestions provided by the intelligent analysis and decision-making module to ensure the smooth progress of the project and reduce the project duration delay and cost increase caused by conflicts.

[0059] As an intelligent building construction management system based on the BIM scenario, the user interaction module enables users with different positions and professional backgrounds to easily interact with the system, accurately obtain the required information, and smoothly execute operation instructions, thereby improving the usability and user experience of the entire building construction management process and ensuring the full play of the system functions.

[0060] On the computer side, it can display complex BIM models in high definition, support multi-window simultaneous operation, and facilitate users to compare and analyze design drawings and construction progress data at different stages. For front-line workers such as construction workers and quality inspectors who often travel around the construction site, the mobile APP is optimized. Considering factors such as unstable network environment and large light changes at the construction site, a simple and intuitive interface design is adopted, and the data loading strategy is optimized to ensure that key function pages can be quickly opened even under poor network conditions, such as reporting on-site problems and viewing construction tasks, meeting the need for working anytime and anywhere.

[0061] According to different user roles, a personalized operation interface is provided. After the project manager logs in, the overall project overview page is displayed, highlighting the summary information of key indicators such as progress, cost, quality, and safety. The interface for construction workers details task content, construction locations, technical requirements, and required materials and equipment. They can enter the actual completion progress and feedback on-site problems on the task details page, with convenient and efficient operations. The quality inspector's interface is designed around the quality inspection process, deeply integrated with the BIM model, facilitating quick positioning of inspection points, entering inspection data, and real-time viewing of the distribution of quality problems and rectification tracking. Each user can quickly find their work focus in the dedicated interface, improving operation efficiency.

[0062] During the operation process, whether the user queries the detailed information of a certain building component or views the construction progress simulation animation, it can be achieved through direct clicking, zooming, and rotating operations on the BIM model.

[0063] An immediate and accurate interaction feedback mechanism is established to ensure that the user's operations are promptly responded to. When the user submits data, issues instructions, or initiates a query request in the system, the system immediately notifies the user that the operation is being processed through animation effects and text prompts, and after the operation is completed, the result is feedback in the form of pop-up windows and notification bar messages.

[0064] In the user interaction module, users can directly access the instant messaging tool of the collaborative management platform. Without additional interface switching, they can communicate with other parties in real time. Whether it is text discussion or video conferencing, it can be carried out smoothly. Receive task reminders and process approval notice information from the collaborative management module and directly process them on the user interaction interface. Click the approval button and reply to task feedback, and the processing results are synchronously sent back to the collaborative management module in real time to ensure the smooth operation of the collaborative process and improve communication and collaboration efficiency.

[0065] The decision-making suggestions and risk warning information generated by the intelligent analysis and decision-making module are presented to the user in a prominent manner. On the operation interfaces of relevant users, such as the project overview page of the project manager and the task details page of the construction worker, when there are risks of schedule delays or potential problems with quality and safety, a warning box will automatically pop up to display detailed warning content, including risk descriptions, scope of influence, and recommended measures. The user can directly click to view the details or execute corresponding countermeasures. At the same time, the user can initiate a deep analysis request to the intelligent analysis and decision-making module on the interaction interface according to their own needs to query the reasons for cost overruns in a certain stage. After the module processes it, the results will be returned to the user in the form of a visual report to assist the user in decision-making and achieve human-machine intelligent interaction.

[0066] With the real-time data and historical data provided by the data collection module and the data processing and storage module, rich and accurate information services are provided to the user. When the user queries the historical data of the construction progress and the statistical information of material consumption, the user interaction module sends a request to the data processing and storage module. After obtaining the data, it is displayed to the user in the form of charts and reports. During the on-site construction process, the data collected in real time by the construction workers through the mobile APP is transmitted by the data collection module and processed by the data processing and storage module, and then immediately updated on the corresponding interface of the user interaction module, including the construction progress update and the change of equipment status, ensuring that the information seen by the user is always the latest and improving the timeliness of the system information.

[0067] In this embodiment, temperature, humidity, and vibration sensors are deployed at the construction site, and camera image acquisition devices are installed. The construction environment data, construction progress images, and construction document and form data are collected in real time through the data collection module. The data collected is cleaned, integrated, and stored by the data processing and storage module to build a complete construction data warehouse.

[0068] Using the intelligent analysis and decision-making module, the construction data is deeply mined and intelligently analyzed. By analyzing the historical construction data and real-time progress information, the construction progress trend is predicted, and it is found that there is a risk of delay at a certain key construction node. The system automatically proposes optimization measures such as increasing construction personnel and equipment. The construction cost data is analyzed from multiple dimensions, and it is found that the material procurement cost has exceeded the budget. The system recommends optimizing the material procurement plan and selecting a more cost-effective supplier.

[0069] Through the collaborative management module, the analysis results and decision-making plans are shared with the participating parties of the construction unit, construction company, and supervision unit. The construction company increases construction personnel and equipment and optimizes the construction plan according to the system's recommendations; the supervision unit strengthens on-site supervision to ensure construction quality and safety; the construction unit timely understands the construction progress and cost situation and does a good job in capital arrangement and coordination work.

[0070] During the construction process, continuously collect and analyze construction data, and monitor the construction progress, cost, quality, and safety status in real time. By monitoring the construction quality data in real time, it is found that the concrete strength of a certain part does not meet the standard. The system automatically issues a warning and provides quality improvement suggestions. According to the real-time cost data, it is found that the labor cost has increased. The system suggests adjusting the personnel configuration and optimizing the construction process to reduce costs.

[0071] Of course, the present invention may also have many other implementation manners. Based on this implementation manner, other implementation manners obtained by ordinary technicians in the art without any creative labor belong to the scope protected by the present invention.

Claims

1. An intelligent building construction management system based on BIM scenarios, characterized in that, Including: Data acquisition module: Used to collect various types of data at the construction site in real time, including sensor data, image and video data, document and table data; Data processing and storage module: Used to clean, integrate and store the collected data, and build a complete construction data warehouse; Intelligent analysis and decision-making module: Based on BIM models and big data analysis technologies, deeply excavate and intelligently analyze construction data to provide a scientific basis for construction decision-making; Collaborative management module: Used to establish an information sharing platform, allocate task information, and conduct collaborative management of construction projects; User interaction module: Used to provide an intuitive and convenient operation interface for users, enabling users to easily access and use system functions.

2. The intelligent building construction management system based on BIM scenario construction according to claim 1, characterized in that, The sensor data comes from environmental sensors, displacement sensors, and pressure sensors, where: The environmental sensors monitor environmental parameters such as temperature, humidity, light intensity, and harmful gas concentration at the construction site in real time, providing a basis for construction environment regulation and personnel safety protection; The displacement sensors are installed on large building components, tower cranes, and construction elevator equipment to accurately measure their displacement, settlement, and inclination states, preventing risks of structural collapse and equipment overturning; The pressure sensors are placed at the load-bearing parts of scaffolds and formwork supports to provide real-time feedback on the bearing pressure and ensure construction safety.

3. The intelligent building construction management system based on BIM scenario construction according to claim 1, characterized in that, The collection of the image and video data uses high-definition camera equipment to comprehensively cover the construction site and capture images and videos of the construction site in real time, which are used to monitor the construction progress, safety conditions, and personnel behavior. Through image recognition technology, it automatically identifies personnel's illegal operations, irregular material stacking, and abnormal fire and smoke situations.

4. The intelligent building construction management system based on BIM scenario construction according to claim 1, wherein The collection of the document and table data automatically collects various types of documents and tables during the construction process, such as construction logs, quality inspection records, and cost statements, to ensure the integrity and accuracy of the data.

5. The intelligent building construction management system based on BIM scenario construction according to claim 1, characterized in that, The data cleaning refers to removing outliers, duplicate data, and noisy data to ensure data quality. The data integration refers to integrating data from different sources and in different formats, establishing a unified data model, and realizing data interconnection and interoperability. The data storage refers to using distributed storage technology to store data in cloud servers to ensure the security, reliability, and scalability of the data.

6. The intelligent building construction management system based on BIM scenario construction according to claim 1, characterized in that, The intelligent analysis and decision-making module includes progress analysis and prediction, cost analysis and control, and quality and safety analysis, where: The progress analysis and prediction is to analyze historical construction data and real-time progress information to predict the construction progress trend, discover potential progress delay risks in advance, and propose corresponding optimization measures; The cost analysis and control is to conduct multi-dimensional analysis of construction cost data, find out the reasons for cost overruns, optimize resource allocation, and achieve effective cost control; The quality and safety analysis is to use BIM models and quality monitoring data to monitor and analyze the construction quality in real time, discover quality problems in a timely manner, and at the same time combine safety monitoring data to evaluate construction safety risks and formulate safety prevention measures.

7. The intelligent building construction management system based on BIM scenario construction according to claim 1, characterized in that, The information sharing platform enables the participating parties such as the construction unit, the construction company, the supervision unit, and the design unit to view and share construction information in real time, reducing the intermediate links in information transmission; the collaborative task management ensures that each participating party can clarify their work responsibilities and task progress through the task assignment and tracking functions, and promotes the smooth progress of the construction project collaboratively.

8. The intelligent building construction management system based on BIM scenario construction according to claim 1, characterized in that, The visual display adopts three-dimensional visualization technology, combines the BIM model with construction data, and intuitively displays construction progress, quality status, and cost distribution information, helping users quickly grasp the construction situation. The interactive operation provides rich interactive functions, such as model browsing, data query, and report generation, enabling users to flexibly obtain and analyze construction data as needed.

9. The intelligent building construction management method based on BIM scenario according to claim 1, which is used to implement the intelligent building construction management system based on BIM scenario described in any one of claims 1-8 above, is characterized in that, It includes the following steps: S1: Before the construction starts, deploy the data collection module to collect various types of data at the construction site in real time, and clean, integrate, and store them through the data processing and storage module to build a complete construction data warehouse. S2: Use the intelligent analysis and decision-making module to deeply mine and intelligently analyze the construction data, generate progress analysis reports, cost analysis reports, and quality and safety analysis reports, providing a scientific basis for construction decisions. S3: Through the collaborative management module, share the analysis results and decision-making plans with each participating party, and collaborate with each participating party to execute the corresponding construction tasks to ensure the smooth progress of the construction project. S4: During the construction process, continuously collect and analyze the construction data, monitor the construction progress, cost, quality, and safety status in real time, and optimize and adjust the construction plan according to the actual situation to improve the construction efficiency and quality.

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