Intelligent beam field construction management system based on BIM and GIS

Abstract

The invention discloses an intelligent beam field construction management system based on BIM and GIS, and relates to the technical field of beam field construction management. Main parameters of a beam field construction environment can be fully covered by deploying a temperature and humidity sensor, an air quality sensor, a noise sensor, a wind speed and direction sensor and a rainfall sensor; spatial data association is performed on the BIM model by using a spatial analysis tool in a GIS platform, geographic information and construction in the BIM model are subjected to geographic space matching, and the accuracy of an association result is ensured through verification, so that data integration and sharing are facilitated, the use efficiency of the data is improved, and the method is suitable for popularization and application. A construction supervisor can monitor the construction progress according to the tracking data recorded in real time, a construction plan is adjusted in time, and smooth construction is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of beam yard construction management, and in particular to a smart beam yard construction management system based on BIM and GIS. Background Art

[0002] The application of building information modeling and geographic information system in the field of engineering construction is becoming more and more extensive.

[0003] The Chinese patent with publication number CN113327045A discloses an intelligent control system for a beam yard, which mainly realizes intelligent control of the entire process and business process of the production, processing, transportation, warehousing, distribution and other business processes of the beam yard by using an intelligent control system, and finally realizes the less-managed and reduced-management of the beam yard production, improves the utilization rate of machinery, and improves the quality of the beam body. By setting up the application layer and the decision-making management layer, it is more conducive to overall planning, so that managers can more conveniently integrate management, improve the transparency of process control data, improve the integrity of internal data, and improve the accuracy of high-level supervision and decision-making. By setting up a knowledge base, it can present the relevant data of the beam yard project more comprehensively, which is conducive to judgment and analysis, as well as macro-deployment, effectively solves the problem of information islands, and further improves the convenience of management. Although the above patent solves the problem of intelligent control, there are still the following problems in actual operation: 1. Failure to construct targeted on-site building information and geographic information models based on the actual construction site conditions of the beam yard results in inaccurate data acquisition at the beam yard.

[0004] 2. There is no effective monitoring of the construction quality, progress and environment of the beam yard construction site, which makes it impossible to timely understand whether the workers are carrying out the construction on time and safely.

[0005] 3. There is no effective construction monitoring of the beam yard's construction information, and no abnormal judgment and management decision-making based on the construction monitoring situation, which leads to the reduction of the quality of the beam yard construction. Summary of the invention

[0006] The purpose of the present invention is to provide a smart beam yard construction management system based on BIM and GIS. By deploying temperature and humidity sensors, air quality sensors, noise sensors, wind speed and direction sensors, and rainfall sensors, the main parameters of the beam yard construction environment can be fully covered. Spatial analysis tools are used in the GIS platform to associate spatial data with the BIM model, and geographic information is matched with the construction in the BIM model in geographic space. The accuracy of the association results is ensured through verification, which helps to realize data integration and sharing and improve the efficiency of data use. Construction supervisors can monitor the construction progress according to the real-time recorded tracking data, adjust the construction plan in time, ensure the smooth progress of construction, and solve the problems in the prior art.

[0007] To achieve the above object, the present invention provides the following technical solutions: The intelligent beam yard construction management system based on BIM and GIS includes: Construction data confirmation unit, used for: Collect basic data of the construction site, perform data preprocessing after the basic data is collected, and obtain the target beam field data after data preprocessing; Construction data model building unit for: Use BIM three-dimensional model construction technology to construct a BIM model of the target beam yard data, and import the constructed BIM model into the GIS platform for data association. After data association, the beam yard construction model data is obtained; Construction progress management unit, used to: Formulate the construction plan of the beam yard according to the beam yard construction model data, and track the progress according to the formulated construction plan. After tracking the progress, the progress data of the beam yard is obtained; Construction quality management unit for: Receive the construction quality data of the beam yard construction site in real time, and mark the received real-time data as beam yard quality data; Construction environment management unit, used to: Receiving construction environment data of the beam yard construction site, and marking the received construction environment data as beam yard environment data; Intelligent predictive control unit for: Collect and analyze the beam yard progress data, beam yard quality data and beam yard environment data, make management decisions for the beam yard construction site based on the prediction and analysis results, and transmit the results to the display terminal for display; The construction data model building unit is further used for: BIM construction includes terrain modeling and infrastructure modeling of target beam yard data; Use the GIS platform to associate the data of the constructed BIM model. Prepare the BIM model before associating the data. Confirm the GIS platform after the BIM model is prepared; After the GIS platform is confirmed, the prepared BIM model will be imported into the GIS platform for data association processing; Data visualization is performed after data association processing; Data visualization processing is used to obtain the beam yard construction model data.

[0008] Preferably, the construction data confirmation unit is further used for: Retrieve the basic data of beam yard construction from the database; Basic data include geographical location data, topographic data and design drawing data; Preprocess the retrieved geographical location data, topographic data and design drawing data; Data preprocessing includes data verification, data cleaning, data format conversion, data integration and data standardization of geographic location data, topographic data and design drawing data; After data preprocessing, the target beam field data is obtained.

[0009] Preferably, the construction data model building unit is further used for: Terrain modeling is to construct a three-dimensional terrain model of the beam yard using three-dimensional modeling software based on the topographic data in the target beam yard data; and defining contour lines, slopes and soil types in the three-dimensional terrain model, and marking the defined contour lines, slopes and soil types in the three-dimensional terrain model; Infrastructure modeling is to construct a structural model of the beam yard according to the design drawings in the target beam yard data. The constructed structural model includes beams, columns, plates and supporting components. And mark the geometric shape and size of each component in the structural model of the beam yard; After terrain modeling and infrastructure modeling are completed, the BIM model of the target beam yard data is obtained.

[0010] Preferably, the construction data model building unit is further used for: The BIM model confirms the model format and then simplifies the BIM model; The GIS platform will confirm the GIS platform into which the BIM model is imported. At the same time, the confirmed GIS platform will support the import of the BIM model and be able to perform spatial analysis; After the BIM model is imported into the GIS platform, the coordinate system of the BIM model is unified with the coordinate system used by the GIS platform using the coordinate system conversion tool; Data association processing is to use spatial analysis tools in the GIS platform to associate spatial data with the BIM model. Spatial data association is to match the geographic information in the GIS platform with the construction in the BIM model in geographic space. After data association processing, the association results are verified; Visualization processing uses the visualization function of the GIS platform to display the integrated BIM model. The integrated BIM model includes different perspectives to check the overall layout of the beam yard and the surrounding environment. Finally, the integrated BIM model is visualized to obtain the beam yard construction model data.

[0011] Preferably, the construction progress management unit is further used to: Before formulating the construction plan for the beam yard, the node analysis of the beam yard construction model data is first performed. The node analysis is to extract the construction node information from the BIM model. The construction node information includes the main components and their relationship with each other. Then, according to the construction drawings, the construction process of each component is clarified, and the start time and end time of the construction process and the mutual dependence of the required resources are marked; Decompose the beam yard construction process into specific construction tasks. Each task corresponds to a node in the BIM model. Use project management software to present the construction tasks in the form of a Gantt chart. In addition, each task will show its time span, dependency relationship and responsible team in the Gantt chart. Confirm the time for the deployment of human resources, equipment and materials according to the construction tasks, and obtain the resource deployment data after the time confirmation is completed; Combine resource allocation data and construction tasks to obtain a completed construction plan; The construction supervisor will track the progress of the real-time construction site of the beam yard according to the formulated construction plan and record the tracking data in real time; The real-time recorded tracking data is marked as beam yard progress data.

[0012] Preferably, the construction quality management unit is further used for: Deploy quality equipment at the beam yard construction site based on quality monitoring indicators, including concrete strength, temperature, humidity, vibration and displacement; Quality equipment includes high-definition cameras, pressure sensors, temperature sensors, humidity sensors, accelerometers, displacement meters, and laser rangefinders; The device data collection terminal receives the real-time collected data of each hardware device, and marks the received real-time data with the device type and collection time; The real-time data is annotated with equipment type and collection time to obtain beam yard quality data.

[0013] Preferably, the construction environment management unit is further used for: Environmental equipment is deployed at the beam yard construction site, including temperature and humidity sensors, air quality sensors, noise sensors, wind speed and direction sensors, and rainfall sensors; The environmental data collection terminal receives the collected data from each sensor and marks the received collected data with the sensor type and collection time; After collecting data and marking the sensor type and collection time, the beam field environment data is obtained.

[0014] Preferably, the intelligent prediction control unit is also used for: The intelligent control terminal receives the beam yard progress data, beam yard quality data and beam yard environment data. Before receiving the data, the intelligent control terminal establishes a centralized comprehensive database and stores the received data in the comprehensive database. At the same time, the data in the comprehensive database is used as the original data of the construction site. Conduct data mining on the data in the comprehensive database, including trend analysis and correlation analysis; Trend analysis is to use time series method to analyze the progress, quality and environmental data trends of beam yard progress data, beam yard quality data and beam yard environmental data respectively; Correlation analysis is to identify the correlation between beam yard progress data, beam yard quality data and beam yard environment data; Perform anomaly detection on the beam yard progress data, beam yard quality data and beam yard environment data completed by data mining; Abnormal monitoring is to compare the data threshold of the beam yard progress data, beam yard quality data and beam yard environment data completed by data mining with the standard beam yard construction data, where the standard beam yard construction data is extracted from the database; The abnormality degree is judged based on the difference between the threshold comparison of the beam yard progress data, beam yard quality data and beam yard environment data and the standard beam yard construction data; Among them, the degree of abnormality is divided into mild abnormality, moderate abnormality and severe abnormality; Management decisions are made based on the degree and type of abnormality, and the results are transmitted to the display terminal for display.

[0015] Preferably, the intelligent prediction control unit is also used for: Conduct on-site image acquisition and processing: deploy high-definition cameras and / or drones at the beam yard construction site to collect construction video data in real time; Adopt machine learning algorithm: Utilize the quality defect recognition model based on convolutional neural network (CNN) and trained with construction image data, take each frame image of construction video data as input data of the quality defect recognition model, automatically perform image recognition processing, and implement the quality defects and their occurrence locations of beam yard construction; When quality defects are identified, the quality defects are classified, and preliminary repair plans are listed based on the categories to which the quality defects belong through network search and automatic screening; Extract solution feature data for each preliminary repair solution, and score the correlation between the solution feature data and the quality defects of each solution one by one. Specifically, calculate the weighted value of the correlation score between each preliminary repair solution and the quality defects in combination with the weights of the solution feature data preset in the preliminary repair solution, and use the preliminary repair solution with the highest weighted value of the correlation score as the repair implementation plan; Determine whether the repair implementation plan can be implemented by the automated repair robot. If so, call the automated repair robot, which obtains the repair implementation plan and the corresponding location of the quality defect, and automatically performs the quality defect repair task. If the automated repair robot cannot implement it, it will issue a quality warning message and push the repair implementation plan to the bound construction personnel's terminal device.

[0016] Preferably, the relevance score is as follows: Control the retrieval process of extracting solution feature data from the preliminary repair solution, check whether the extracted solution feature data has duplicate data or incomplete data, remove redundant duplicate data, and delete incomplete data; Then, the correlation score between the solution feature data and the quality defect is calculated using the following formula: ; in, Indicates the correlation score between solution characteristic data and quality defects; Indicates the number of query terms for solution feature data; Indicates the first The weight of the word; Indicates quality defect documents; Indicates the first words; Expressive words In quality defect documentation The frequency of words in ; Represents the adjustment factor of word frequency, the value range is ; Indicates the length penalty factor of the field, the value range is ; Indicates the average length of the scheme characteristic data field; Denotes quality defect document The total length of

[0017] Compared with the prior art, the present invention has the following beneficial effects: 1. The smart beam yard construction management system based on BIM and GIS provided by the present invention can synchronously provide information on building quality, progress and cost, use spatial analysis tools in the GIS platform to associate spatial data with the BIM model, match geographic information with the construction in the BIM model in geographic space, and ensure the accuracy of the association results through verification, which is conducive to realizing data integration and sharing and improving data utilization efficiency.

[0018] 2. The BIM- and GIS-based smart beam yard construction management system provided by the present invention can comprehensively cover the main parameters of the beam yard construction environment by deploying temperature and humidity sensors, air quality sensors, noise sensors, wind speed and direction sensors, and rainfall sensors, thereby ensuring a comprehensive understanding of the construction environment. Construction supervisors can monitor the construction progress based on real-time tracking data, adjust the construction plan in a timely manner, and ensure smooth construction. The detailed marking of the construction process will help to formulate a more accurate construction plan.

[0019] 3. The intelligent beam yard construction management system based on BIM and GIS provided by the present invention realizes abnormal detection of beam yard progress, quality and environmental data through data threshold comparison. When the data exceeds the preset threshold, it can be discovered and issued in time, which helps to take measures in time to avoid the occurrence of potential problems. According to the degree and type of abnormality, the intelligent control terminal can make corresponding management decisions, which helps managers to quickly understand the current situation and make scientific and reasonable decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic diagram of the smart beam yard construction management unit of the present invention; Figure 2 It is a schematic diagram of the construction management process of the smart beam yard of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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.

[0022] In order to solve the problem that the existing technology does not build a model of targeted on-site building information and geographic information based on the actual construction site conditions of the beam field, resulting in inaccurate data acquisition of the beam field, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions: The intelligent beam yard construction management system based on BIM and GIS includes: Construction data confirmation unit, used for: Collect basic data of the construction site, perform data preprocessing after the basic data is collected, and obtain the target beam field data after data preprocessing; Construction data model building unit for: Use BIM three-dimensional model construction technology to construct a BIM model of the target beam yard data, and import the constructed BIM model into the GIS platform for data association. After data association, the beam yard construction model data is obtained; Construction progress management unit, used to: Formulate the construction plan of the beam yard according to the construction model data of the beam yard, and track the progress according to the formulated construction plan. After tracking the progress, the progress data of the beam yard is obtained; Construction quality management unit for: Receive the construction quality data of the beam yard construction site in real time, and mark the received real-time data as beam yard quality data; Construction environment management unit, used to: Receiving the construction environment data of the beam yard construction site, and marking the received construction environment data as beam yard environment data; Intelligent predictive control unit for: Collect and analyze the beam yard progress data, beam yard quality data and beam yard environment data, make management decisions for the beam yard construction site based on the prediction and analysis results, and transmit the results to the display terminal for display; The construction data model building block is also used for: BIM construction includes terrain modeling and infrastructure modeling of target beam yard data; Use the GIS platform to associate the data of the constructed BIM model. Prepare the BIM model before associating the data. Confirm the GIS platform after the BIM model is prepared; After the GIS platform is confirmed, the prepared BIM model will be imported into the GIS platform for data association processing; Data visualization is performed after data association processing; Data visualization processing is used to obtain the beam yard construction model data.

[0023] Specifically, the construction data confirmation unit can be used to integrate data from multiple data sources to avoid data islands and improve the integrity and consistency of data. The construction data model building unit can realize integrated management of the entire life cycle from design to construction to operation, which helps construction personnel to understand the project situation more intuitively and improve construction efficiency and safety. The tracking data recorded in real time by the construction progress management unit can be shared in real time, so that project team members can timely understand the construction progress and resource utilization, which is convenient for decision-making and coordination. Through the construction quality management unit, quality monitoring personnel can timely discover abnormal values ​​or deviation trends in the data, thereby judging the possible quality risks in the beam yard construction. The construction environment management unit can receive the collected data of each sensor in real time to ensure the real-time nature of the data, so that construction management personnel can timely understand the changes in the construction environment. Through the degree and type of abnormalities in the intelligent prediction control unit, the intelligent control terminal can make corresponding management decisions and transmit the decision results to the display terminal for display.

[0024] The construction data confirmation unit is also used for: Retrieve the basic data of beam yard construction from the database; Basic data include geographical location data, topographic data and design drawing data; Preprocess the retrieved geographical location data, topographic data and design drawing data; Data preprocessing includes data verification, data cleaning, data format conversion, data integration and data standardization of geographic location data, topographic data and design drawing data; After data preprocessing, the target beam field data is obtained.

[0025] Specifically, the basic data of the beam yard construction, including geographic location data, topographic data and design drawing data, were retrieved to ensure the comprehensiveness and integrity of the data, providing a solid foundation for subsequent data analysis and application. The data verification step in the data preprocessing link can ensure the accuracy and reliability of the data and avoid the impact of erroneous or abnormal data on subsequent analysis. Data cleaning can remove irrelevant data, fill in missing values, smooth noise data, etc., improve the accuracy and reliability of the data, and make the data analysis results more reliable. Data format conversion enables data from different sources and formats to be unified into a consistent format, which is convenient for subsequent data processing and analysis. Data integration can integrate data from multiple data sources together, avoid data islands, and improve the integrity and consistency of the data. The preprocessed data can be used in the construction planning, progress monitoring, quality control and other aspects of the beam yard, providing a scientific basis for decision-making and management during the construction process.

[0026] The construction data model building block is also used for: Terrain modeling is to construct a three-dimensional terrain model of the beam yard using three-dimensional modeling software based on the topographic data in the target beam yard data; and defining contour lines, slopes and soil types in the three-dimensional terrain model, and marking the defined contour lines, slopes and soil types in the three-dimensional terrain model; Infrastructure modeling is to construct a structural model of the beam yard according to the design drawings in the target beam yard data. The constructed structural model includes beams, columns, plates and supporting components. And mark the geometric shape and size of each component in the structural model of the beam yard; After terrain modeling and infrastructure modeling are completed, the BIM model of the target beam yard data is obtained.

[0027] Specifically, the three-dimensional geological model has an advantage over the previous two-dimensional geological model in approaching the real geological conditions. When the geological information on the profile is assembled into a three-dimensional map, the problem of disconnection will become prominent. In the three-dimensional model, these problems are easy to find and can be adjusted according to the three-dimensional morphology and comprehensive geological data, thereby improving the accuracy of the model. The three-dimensional model can integrate multi-source data such as geology, geophysics, geochemistry, and drilling. Regardless of whether these data are on or near the profile line where the profile is located, as long as they are in the three-dimensional modeling space, they can be used. This full three-dimensional comprehensive data integration can intuitively, accurately and comprehensively display all the geological information currently available. BIM technology can achieve integrated management of the entire life cycle from design to construction to operation. In the design stage, various disciplines work based on the same model to promote the integrated process of design and construction. In the construction stage, BIM can simultaneously provide information on building quality, progress and cost. The BIM model can be used for coordinated design, overall progress planning, cost budgeting and engineering quantity estimation. Through the BIM model, the spatial relationship between the components can be intuitively seen to avoid conflicts and interference.

[0028] The BIM model confirms the model format and then simplifies the BIM model; The GIS platform will confirm the GIS platform into which the BIM model is imported. At the same time, the confirmed GIS platform will support the import of the BIM model and be able to perform spatial analysis; After the BIM model is imported into the GIS platform, the coordinate system of the BIM model is unified with the coordinate system used by the GIS platform using the coordinate system conversion tool; Data association processing is to use spatial analysis tools in the GIS platform to associate spatial data with the BIM model. Spatial data association is to match the geographic information in the GIS platform with the construction in the BIM model in geographic space. After data association processing, the association results are verified; Visualization processing uses the visualization function of the GIS platform to display the integrated BIM model. The integrated BIM model includes different perspectives to check the overall layout of the beam yard and the surrounding environment. Finally, the integrated BIM model is visualized to obtain the beam yard construction model data.

[0029] Specifically, by confirming and simplifying the model format, it is ensured that the BIM model can be smoothly imported into the GIS platform, avoiding data loss or errors caused by format incompatibility. The confirmed GIS platform supports the import of BIM models and can perform spatial analysis, which provides strong technical support for subsequent spatial data association and visualization processing. The coordinate system conversion tool is used to unify the coordinate system of the BIM model with the coordinate system used by the GIS platform, ensuring the accuracy and consistency of the data and avoiding spatial position errors caused by coordinate system mismatch. The spatial analysis tool is used in the GIS platform to associate the BIM model with spatial data, match the geographic information with the construction in the BIM model in the geographic space, and ensure the accuracy of the association results through verification. This helps to achieve data integration and sharing and improve the efficiency of data use. The visualization function of the GIS platform can display the integrated BIM model, including different perspectives, to check the overall layout and surrounding environment of the beam field. This helps construction personnel to understand the project situation more intuitively, improve construction efficiency and safety, and the beam field construction model data obtained by visualization can provide strong support for the formulation of construction decisions. Through model data, construction personnel can more accurately evaluate the feasibility and effectiveness of construction plans, thereby making more scientific decisions. Through automated and intelligent processing methods, the complexity and workload of manual operations are reduced, and work efficiency is improved. At the same time, through data integration and sharing, duplication of work and data redundancy are avoided.

[0030] In order to solve the problem in the prior art that there is no effective monitoring of the construction quality, progress and environment of the beam yard construction site, which leads to the inability to timely understand whether the workers are carrying out the construction on time and safely, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions: The construction progress management unit is also used for: Before formulating the construction plan for the beam yard, the node analysis of the beam yard construction model data is first performed. The node analysis is to extract the construction node information from the BIM model. The construction node information includes the main components and their relationship with each other. Then, according to the construction drawings, the construction process of each component is clarified, and the start time and end time of the construction process and the mutual dependence of the required resources are marked; Decompose the beam yard construction process into specific construction tasks. Each task corresponds to a node in the BIM model. Use project management software to present the construction tasks in the form of a Gantt chart. In addition, each task will show its time span, dependency relationship and responsible team in the Gantt chart. Confirm the time for the deployment of human resources, equipment and materials according to the construction tasks, and obtain the resource deployment data after the time confirmation is completed; Combine resource allocation data and construction tasks to obtain a completed construction plan; The construction supervisor will track the progress of the real-time construction site of the beam yard according to the formulated construction plan and record the tracking data in real time; The real-time recorded tracking data is marked as beam yard progress data.

[0031] Specifically, by extracting construction node information from the BIM model, we can accurately understand the main components and their relationships, ensuring that the construction plan is based on accurate data. Detailed annotation of construction processes, including start and end times, required resources and dependencies, can help to develop a more accurate construction plan. Using project management software to present construction tasks in the form of a Gantt chart makes the construction process more intuitive and visual. Each task displays its time span, dependencies and responsible team in the Gantt chart, which helps the construction team better understand and implement the construction plan. Time confirmation of the allocation of human resources, equipment and materials according to the construction tasks can ensure the effective use of resources and avoid resource waste. The combination of resource allocation data and construction task data can help to achieve dynamic allocation and optimization of resources. Accurate construction plans and optimized resource allocation can help reduce delays and waste in the construction process, thereby improving construction efficiency. Construction supervisors can monitor the construction progress based on real-time tracking data, adjust the construction plan in a timely manner, and ensure smooth construction. Visual tools such as Gantt charts make construction plans easier to understand and communicate, which helps collaboration between construction teams. The real-time recorded tracking data can be shared in real time, allowing project team members to keep abreast of construction progress and resource utilization, facilitating decision-making and coordination. Real-time tracking and recording of construction progress helps the project team better grasp project progress and identify and resolve problems in a timely manner.

[0032] The construction quality management unit is also used to: Deploy quality equipment at the beam yard construction site based on quality monitoring indicators, including concrete strength, temperature, humidity, vibration and displacement; Quality equipment includes high-definition cameras, pressure sensors, temperature sensors, humidity sensors, accelerometers, displacement meters, and laser rangefinders; The device data collection terminal receives the real-time collected data of each hardware device, and marks the received real-time data with the device type and collection time; The real-time data is annotated with equipment type and collection time to obtain beam yard quality data.

[0033] Specifically, according to the key quality monitoring indicators such as concrete strength, temperature, humidity, vibration and displacement, corresponding high-quality equipment such as high-definition cameras, pressure sensors, temperature sensors, humidity sensors, accelerometers, displacement meters and laser rangefinders were selected. These devices can provide accurate and reliable data for specific monitoring needs. Through the equipment data acquisition terminal, the real-time data collected by each hardware device is received in a timely manner, and the device type and collection time are marked. This ensures the timeliness and accuracy of the data, allowing quality monitoring personnel to quickly grasp the real-time quality status of the beam yard. After the real-time data is marked with the equipment type and collection time, the beam yard quality data is obtained. This annotation method is helpful for the classification, integration and analysis of data, and improves the efficiency of data management. By analyzing and comparing the collected data, quality monitoring personnel can promptly discover abnormal values ​​or deviation trends in the data, thereby judging the possible quality risks in the beam yard construction. Based on the results of abnormal detection, an early warning mechanism can be established. When the data reaches or exceeds the preset threshold, the early warning signal is automatically triggered to remind the quality monitoring personnel to take timely measures to intervene and correct. Through continuous analysis and monitoring of data, problems and deficiencies in the construction process can be continuously discovered, thereby promoting continuous improvement and optimization of the construction process. By monitoring parameters such as temperature, humidity, and vibration, potential safety hazards that may cause safety accidents can be discovered in a timely manner, such as concrete cracking caused by excessive temperature, steel corrosion caused by excessive humidity, etc., so that preventive measures can be taken to avoid accidents.

[0034] The construction environment management unit is also used to: Environmental equipment is deployed at the beam yard construction site, including temperature and humidity sensors, air quality sensors, noise sensors, wind speed and direction sensors, and rainfall sensors; The environmental data collection terminal receives the collected data from each sensor and marks the received collected data with the sensor type and collection time; After collecting data and marking the sensor type and collection time, the beam field environment data is obtained.

[0035] Specifically, by deploying temperature and humidity sensors, air quality sensors, noise sensors, wind speed and direction sensors, and rainfall sensors, the main parameters of the beam field construction environment can be fully covered to ensure a comprehensive understanding of the construction environment. Each sensor is designed with high precision and can accurately collect environmental data to provide a reliable basis for construction management and decision-making. The environmental data acquisition terminal can receive the collected data of each sensor in real time to ensure the real-time nature of the data, so that construction management personnel can timely understand the changes in the construction environment. By marking the sensor type and collection time of the collected data, a time series of beam field environmental data can be formed, which is convenient for construction management personnel to dynamically monitor environmental changes and take timely measures to respond. Through intelligent analysis of the collected data, construction management personnel can realize automated management of the construction environment, such as automatically adjusting temperature and humidity, controlling noise, etc., to improve construction efficiency and quality. By marking the sensor type and collection time of the collected data, the traceability of the data can be ensured, which is convenient for subsequent data analysis and problem troubleshooting. The environmental data acquisition terminal usually has data storage and transmission functions, which can ensure the security and integrity of the data and prevent data loss or tampering. The environmental data acquisition terminal can be seamlessly integrated with various sensors, which is convenient for construction management personnel to select and configure according to actual needs.

[0036] In order to solve the problem in the prior art that there is no effective construction monitoring of the construction information of the beam yard, and no abnormal judgment and control decision-making based on the construction monitoring situation, which leads to the reduction of the quality of the beam yard construction, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions: The intelligent predictive control unit is also used for: The intelligent control terminal receives the beam yard progress data, beam yard quality data and beam yard environment data. Before receiving the data, the intelligent control terminal establishes a centralized comprehensive database and stores the received data in the comprehensive database. At the same time, the data in the comprehensive database is used as the original data of the construction site. Conduct data mining on the data in the comprehensive database, including trend analysis and correlation analysis; Trend analysis is to use time series method to analyze the progress, quality and environmental data trends of beam yard progress data, beam yard quality data and beam yard environmental data respectively; Correlation analysis is to identify the correlation between beam yard progress data, beam yard quality data and beam yard environment data; Perform anomaly detection on the beam yard progress data, beam yard quality data and beam yard environment data completed by data mining; Abnormal monitoring is to compare the data threshold of the beam yard progress data, beam yard quality data and beam yard environment data completed by data mining with the standard beam yard construction data, where the standard beam yard construction data is extracted from the database; The abnormality degree is judged based on the difference between the threshold comparison of the beam yard progress data, beam yard quality data and beam yard environment data and the standard beam yard construction data; Among them, the degree of abnormality is divided into mild abnormality, moderate abnormality and severe abnormality; Management decisions are made based on the degree and type of abnormality, and the results are transmitted to the display terminal for display.

[0037] Specifically, the intelligent control terminal has established a centralized comprehensive database to achieve unified storage and management of the progress, quality and environmental data of the beam field. This helps to integrate and share data, reduce data redundancy and inconsistency, and improve data reliability and availability. Through data mining technology, including trend analysis and correlation analysis, it can deeply mine the hidden information and value in the data. Trend analysis can reveal the long-term change trend of data and help predict future development trends; correlation analysis can reveal the correlation between different data and provide a basis for management decisions. Through data threshold comparison, anomaly detection of the progress, quality and environmental data of the beam field is achieved. When the data exceeds the preset threshold, it can be discovered and warned in time, which helps to take timely measures to avoid potential problems. The degree of abnormality is divided into slight abnormality, moderate abnormality and severe abnormality, which helps managers take corresponding countermeasures according to the severity of the abnormality, improves the pertinence and effectiveness of management, and according to the degree and type of abnormality, the intelligent control terminal can make corresponding management decisions and transmit the decision results to the display terminal for display. This helps managers quickly understand the current situation and make scientific and reasonable decisions. Through automated and intelligent data reception, storage, analysis and decision-making processes, the intelligent control terminal can significantly improve the efficiency of beam field management. Managers can focus more on handling key issues, reducing tedious manual operations and decision-making time. Through data analysis and mining, a scientific basis is provided for management decisions. This helps to promote the management of beam yards in a more scientific, reasonable and efficient direction. By displaying decision results and abnormal information on the display terminal, the transparency of information is enhanced. This helps managers and stakeholders better understand the operation status of the beam yard and improves the openness and fairness of management.

[0038] Based on the above embodiment, the intelligent prediction control unit is further used for: Conduct on-site image acquisition and processing: deploy high-definition cameras and / or drones at the beam yard construction site to collect construction video data in real time; Adopt machine learning algorithm: Utilize the quality defect recognition model based on convolutional neural network (CNN) and trained with construction image data, take each frame image of construction video data as input data of the quality defect recognition model, automatically perform image recognition processing, and implement the quality defects and their occurrence locations of beam yard construction; When quality defects are identified, the quality defects are classified, and preliminary repair plans are listed based on the categories to which the quality defects belong through network search and automatic screening; Extract solution feature data for each preliminary repair solution, and score the correlation between the solution feature data and the quality defects of each solution one by one. Specifically, calculate the weighted value of the correlation score between each preliminary repair solution and the quality defects in combination with the weights of the solution feature data preset in the preliminary repair solution, and use the preliminary repair solution with the highest weighted value of the correlation score as the repair implementation plan; Determine whether the repair implementation plan can be implemented by the automated repair robot. If so, call the automated repair robot, which obtains the repair implementation plan and the corresponding location of the quality defect, and automatically performs the quality defect repair task. If the automated repair robot cannot implement it, it will issue a quality warning message and push the repair implementation plan to the bound construction personnel's terminal device.

[0039] Specifically, high-definition cameras and / or drones are set up to collect construction video data in real time in the project, a quality defect recognition model is constructed based on a convolutional neural network (CNN), and after the quality defect recognition model is trained with labeled construction image data, the quality defect recognition model is used to perform frame recognition on the real-time construction video data to determine whether there are quality defects. If so, the quality defects are classified and the corresponding positions of the quality defects are recorded; network resources are used to obtain repair measures for quality defects, and the repair measures are screened according to set rules, and the different screened repair measures are combined to form multiple preliminary repair plans; then the best plan is selected and determined as the repair implementation plan through correlation scoring, and it is judged whether the repair implementation plan can be implemented by an automated repair robot, and different treatments are performed according to the judgment results; the adoption of this plan can fully guarantee the implementation quality of the project, timely repair and handle possible quality defects, and reduce rework and waste.

[0040] Based on the above embodiment, the relevance score is specifically as follows: Control the retrieval process of extracting solution feature data from the preliminary repair solution, check whether the extracted solution feature data has duplicate data or incomplete data, remove redundant duplicate data, and delete incomplete data; Then, the correlation score between the solution feature data and the quality defect is calculated using the following formula: ; in, Indicates the correlation score between solution characteristic data and quality defects; Indicates the number of query terms for solution feature data; Indicates the first The weight of the word; Indicates quality defect documents; Indicates the first words; Expressive words In quality defect documentation The frequency of words in ; Represents the adjustment factor of word frequency, the value range is ; Indicates the length penalty factor of the field, the value range is ; Indicates the average length of the scheme characteristic data field; Denotes quality defect document The total length of

[0041] Specifically, by controlling the scheme feature data extraction process, the probability of duplicate data or incomplete data can be reduced. Combined with the inspection situation, redundant duplicate data can be eliminated and incomplete data can be deleted. On the one hand, the amount of subsequent data processing is reduced, and on the other hand, data problems can be avoided that cause the system to be unable to perform calculations smoothly. After inspecting the scheme feature data, the above formula is used to implement the correlation score calculation between the scheme feature data and quality defects, thereby achieving quantitative analysis of the correlation between the scheme feature data and quality defects, and improving the objectivity and reliability of the analysis and evaluation.

[0042] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0043] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. The intelligent beam yard construction management system based on BIM and GIS is characterized by: include: Construction data confirmation unit, used for: Collect basic data of the construction site, perform data preprocessing after the basic data is collected, and obtain the target beam field data after data preprocessing; Construction data model building unit for: Use BIM three-dimensional model construction technology to construct a BIM model of the target beam yard data, and import the constructed BIM model into the GIS platform for data association. After data association, the beam yard construction model data is obtained; Construction progress management unit, used to: Formulate the construction plan of the beam yard according to the construction model data of the beam yard, and track the progress according to the formulated construction plan. After tracking the progress, the progress data of the beam yard is obtained; Construction quality management unit for: Receive the construction quality data of the beam yard construction site in real time, and mark the received real-time data as beam yard quality data; Construction environment management unit, used to: Receiving the construction environment data of the beam yard construction site, and marking the received construction environment data as beam yard environment data; Intelligent predictive control unit for: Collect and analyze the beam yard progress data, beam yard quality data and beam yard environment data, make management decisions for the beam yard construction site based on the prediction and analysis results, and transmit the results to the display terminal for display; The construction data model building unit is further used for: BIM construction includes terrain modeling and infrastructure modeling of target beam yard data; Use the GIS platform to associate the data of the constructed BIM model. Prepare the BIM model before associating the data. Confirm the GIS platform after the BIM model is prepared; After the GIS platform is confirmed, the prepared BIM model will be imported into the GIS platform for data association processing; Data visualization is performed after data association processing; Data visualization processing is used to obtain the beam yard construction model data.

2. According to the BIM and GIS-based smart beam yard construction management system of claim 1, it is characterized in that: The construction data confirmation unit is further used for: Retrieve the basic data of beam yard construction from the database; Basic data include geographical location data, topographic data and design drawing data; Preprocess the retrieved geographical location data, topographic data and design drawing data; Data preprocessing includes data verification, data cleaning, data format conversion, data integration and data standardization of geographic location data, topographic data and design drawing data; After data preprocessing, the target beam field data is obtained.

3. The smart beam yard construction management system based on BIM and GIS according to claim 2 is characterized in that: The construction data model building unit is further used for: Terrain modeling is to construct a three-dimensional terrain model of the beam yard using three-dimensional modeling software based on the topographic data in the target beam yard data; and defining contour lines, slopes and soil types in the three-dimensional terrain model, and marking the defined contour lines, slopes and soil types in the three-dimensional terrain model; Infrastructure modeling is to construct a structural model of the beam yard according to the design drawings in the target beam yard data. The constructed structural model includes beams, columns, plates and supporting components. And mark the geometric shape and size of each component in the structural model of the beam yard; After terrain modeling and infrastructure modeling are completed, the BIM model of the target beam yard data is obtained.

4. The smart beam yard construction management system based on BIM and GIS according to claim 3 is characterized in that: The construction data model building unit is further used for: BIM model preparation: confirm the model format and then simplify the BIM model; The GIS platform will confirm the GIS platform into which the BIM model is imported. At the same time, the confirmed GIS platform will support the import of the BIM model and be able to perform spatial analysis; After the BIM model is imported into the GIS platform, the coordinate system of the BIM model is unified with the coordinate system used by the GIS platform using the coordinate system conversion tool; Data association processing is to use spatial analysis tools in the GIS platform to associate spatial data with the BIM model. Spatial data association is to match the geographic information in the GIS platform with the construction in the BIM model in geographic space. After data association processing, the association results are verified; Visualization processing uses the visualization function of the GIS platform to display the integrated BIM model. The integrated BIM model includes different perspectives to check the overall layout of the beam yard and the surrounding environment. Finally, the integrated BIM model is visualized to obtain the beam yard construction model data.

5. The smart beam yard construction management system based on BIM and GIS according to claim 4 is characterized in that: The construction progress management unit is also used for: Before formulating the construction plan for the beam yard, the node analysis of the beam yard construction model data is first performed. The node analysis is to extract the construction node information from the BIM model. The construction node information includes the main components and their relationship with each other. Then, according to the construction drawings, the construction process of each component is clarified, and the start time and end time of the construction process and the mutual dependence of the required resources are marked; Decompose the beam yard construction process into specific construction tasks. Each task corresponds to a node in the BIM model. Use project management software to present the construction tasks in the form of a Gantt chart. In addition, each task will show its time span, dependency relationship and responsible team in the Gantt chart. Confirm the time for the deployment of human resources, equipment and materials according to the construction tasks, and obtain the resource deployment data after the time confirmation is completed; Combine resource allocation data and construction tasks to obtain a completed construction plan; The construction supervisor will track the progress of the real-time construction site of the beam yard according to the formulated construction plan and record the tracking data in real time; The real-time recorded tracking data is marked as beam yard progress data.

6. The smart beam yard construction management system based on BIM and GIS according to claim 5 is characterized in that: The construction quality management unit is also used for: Deploy quality equipment at the beam yard construction site based on quality monitoring indicators, including concrete strength, temperature, humidity, vibration and displacement; Quality equipment includes high-definition cameras, pressure sensors, temperature sensors, humidity sensors, accelerometers, displacement meters, and laser rangefinders; The device data collection terminal receives the real-time collected data of each hardware device, and marks the received real-time data with the device type and collection time; The real-time data is annotated with equipment type and collection time to obtain beam yard quality data.

7. The smart beam yard construction management system based on BIM and GIS according to claim 6 is characterized in that: The construction environment management unit is also used for: Environmental equipment is deployed at the beam yard construction site, including temperature and humidity sensors, air quality sensors, noise sensors, wind speed and direction sensors, and rainfall sensors; The environmental data collection terminal receives the collected data from each sensor and marks the received collected data with the sensor type and collection time; After collecting data and marking the sensor type and collection time, the beam field environment data is obtained.

8. The smart beam yard construction management system based on BIM and GIS according to claim 7 is characterized in that: The intelligent prediction control unit is also used for: The intelligent control terminal receives the beam yard progress data, beam yard quality data and beam yard environment data. Before receiving the data, the intelligent control terminal establishes a centralized comprehensive database and stores the received data in the comprehensive database. At the same time, the data in the comprehensive database is used as the original data of the construction site. Conduct data mining on the data in the comprehensive database, including trend analysis and correlation analysis; Trend analysis is to use time series method to analyze the progress, quality and environmental data trends of beam yard progress data, beam yard quality data and beam yard environmental data respectively; Correlation analysis is to identify the correlation between beam yard progress data, beam yard quality data and beam yard environment data; Perform anomaly detection on the beam yard progress data, beam yard quality data and beam yard environment data completed by data mining; Abnormal monitoring is to compare the data threshold of the beam yard progress data, beam yard quality data and beam yard environment data completed by data mining with the standard beam yard construction data, where the standard beam yard construction data is extracted from the database; The abnormality degree is judged based on the difference between the threshold comparison of the beam yard progress data, beam yard quality data and beam yard environment data and the standard beam yard construction data; Among them, the degree of abnormality is divided into mild abnormality, moderate abnormality and severe abnormality; Management decisions are made based on the degree and type of abnormality, and the results are transmitted to the display terminal for display.

9. The smart beam yard construction management system based on BIM and GIS according to claim 7 is characterized in that: The intelligent prediction control unit is also used for: Conduct on-site image acquisition and processing: deploy high-definition cameras and / or drones at the beam yard construction site to collect construction video data in real time; Adopt machine learning algorithm: use the quality defect recognition model based on convolutional neural network and trained with construction image data, take each frame image of construction video data as input data of the quality defect recognition model, automatically perform image recognition processing, and implement the quality defects and their occurrence locations of beam yard construction; When quality defects are identified, the quality defects are classified, and preliminary repair plans are listed based on the categories to which the quality defects belong through network search and automatic screening; Extract solution feature data for each preliminary repair solution, and score the correlation between the solution feature data and the quality defects of each solution one by one. Specifically, calculate the weighted value of the correlation score between each preliminary repair solution and the quality defects in combination with the weights of the solution feature data preset in the preliminary repair solution, and use the preliminary repair solution with the highest weighted value of the correlation score as the repair implementation plan; Determine whether the repair implementation plan can be implemented by the automated repair robot. If so, call the automated repair robot, which obtains the repair implementation plan and the corresponding location of the quality defect, and automatically performs the quality defect repair task. If the automated repair robot cannot implement it, it will issue a quality warning message and push the repair implementation plan to the bound construction personnel's terminal device.

10. The smart beam yard construction management system based on BIM and GIS according to claim 9 is characterized in that: The relevance scores are as follows: Control the retrieval process of extracting solution feature data from the preliminary repair solution, check whether the extracted solution feature data has duplicate data or incomplete data, remove redundant duplicate data, and delete incomplete data; Then, the correlation score between the solution feature data and the quality defect is calculated using the following formula: ; in, Indicates the correlation score between solution characteristic data and quality defects; Indicates the number of query terms for solution feature data; Indicates the first The weight of the word; Indicates quality defect documents; Indicates the first words; Expressive words In quality defect documentation The frequency of words in ; Represents the adjustment factor of word frequency, the value range is ; Indicates the length penalty factor of the field, the value range is ; Indicates the average length of the scheme characteristic data field; Quality defect document The total length of

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