Digital management method and system for housing construction equipment

Abstract

The invention provides a housing construction equipment digital management method and system, and relates to the technical field of digital management. According to the method, the real scene three-dimensional model of the housing construction equipment is constructed and displayed at the webpage end; fusing the three-dimensional model of the housing construction equipment with digital archive data, and performing visual operation; the digital archive data comprises equipment information, an operation plan, an overhaul record, health information and a log record. According to the housing construction equipment digital management method and system, through construction of the digital management system, comprehensive integration and sharing of equipment information are realized, manual operation and manual recording are reduced, and the automation degree and the working efficiency of management are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of digital management, and in particular to a digital management method and system for building construction equipment. Background Art

[0002] Railway transportation building equipment (abbreviated as: building equipment) is an important infrastructure for railway transportation services, mainly including station buildings, platforms, canopies, structures and ancillary equipment, etc. It is the infrastructure to ensure the safe and efficient operation of railway services. Its management status is directly related to the stability and reliability of the railway system. The existing building equipment management model mainly relies on manual operation and experience-based judgment, with a low degree of automation and faces many challenges: serious information island phenomenon, low management efficiency and insufficient management refinement, which makes it difficult to meet the needs of the rapid development of modern railway transportation industry. Summary of the invention

[0003] 1. Technical issues to be solved

[0004] In view of the deficiencies in the prior art, the present invention provides a digital management method and system for building construction equipment, which solves the technical problem of low automation level in the existing building construction equipment management mode.

[0005] (II) Technical solution

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0007] In a first aspect, the present invention provides a digital management method for building construction equipment, comprising:

[0008] Build a realistic 3D model of building equipment and display it on the web page;

[0009] The three-dimensional model of the building construction equipment is integrated with the digital archive data and a visual operation is performed; the digital archive data includes: equipment information, operation plan, maintenance record, health information and log record.

[0010] Preferably, the digital archival data also includes inspection records, which are recorded by inspection personnel through an inspection APP.

[0011] Preferably, the inspection record includes inspection photos taken during the inspection process, and the digital management method for building construction equipment also includes: an artificial intelligence algorithm automatically identifies the defect type in the inspection photo and marks the defect location on the inspection photo.

[0012] Preferably, the construction of a real-life three-dimensional model of building construction equipment includes:

[0013] Acquire external real-scene image data and internal real-scene cloud data of building construction equipment at multiple angles; and process the external real-scene image data at multiple angles to obtain external real-scene cloud data;

[0014] Based on the deep learning model, semantic segmentation and feature extraction are performed on the external real-life point cloud data and the internal real-life point cloud data to obtain the internal structure, internal point cloud features, external structure and external point cloud features;

[0015] The internal structure, internal point cloud features, external structure and external point cloud features are learned using the graph pooling method. The distance between the external point cloud and the internal point cloud is measured using the triplet loss function. The geometric relationship and hierarchical relationship between the external point cloud and the internal point cloud are learned using the convolutional neural network.

[0016] According to the geometric relationship and hierarchical relationship between the external point cloud and the internal point cloud, the external real-life point cloud data and the internal real-life point cloud data are fused to obtain a three-dimensional model of the building construction equipment. The inner and outer surfaces of the three-dimensional model of the building construction equipment are reconstructed using image texture mapping technology to obtain a real-scene three-dimensional model of the building construction equipment.

[0017] In a second aspect, the present invention provides a digital management system for building construction equipment, including: an internal data processing terminal;

[0018] The internal data processing end includes: a support engine module, a three-dimensional model display module and a building construction archive management module;

[0019] The supporting engine module is used to obtain external real-scene image data and internal real-scene point cloud data, and is also used to process the external real-scene image data to obtain external real-scene point cloud data, and to construct a real-scene three-dimensional model of the building construction equipment based on the external real-scene point cloud data and the internal real-scene point cloud data;

[0020] The three-dimensional model display module is used to display the three-dimensional model of the building construction equipment on the web page;

[0021] Building construction archive management module, which is used to store and manage archive data, and digitally archive the archive data to obtain digital archive data; wherein the archive data includes maintenance records, equipment information, operation plans, vehicle information and log records;

[0022] At the internal data processing end, the three-dimensional model of building construction equipment and the digital archive data in the building construction archive management module are integrated and can be operated visually.

[0023] Preferably, the digital management system for building construction equipment further includes an external data acquisition terminal.

[0024] The external data collection end is used to collect external real-scene image data and internal real-scene cloud data of building construction equipment;

[0025] or / and, APP side;

[0026] The APP end is used for inspection personnel to write inspection records during the inspection process, and the APP end transmits the inspection records to the internal data processing end via a wireless network.

[0027] Preferably, the internal data processing end receives the inspection records, and automatically identifies the defect types in the inspection photos of the inspection records through an artificial intelligence algorithm, and marks the defect locations on the inspection photos.

[0028] Preferably, the method of constructing a real-scene three-dimensional model of building construction equipment based on external real-scene point cloud data and internal real-scene point cloud data includes:

[0029] Based on the deep learning model, semantic segmentation and feature extraction are performed on the external real-life point cloud data and the internal real-life point cloud data to obtain the internal structure, internal point cloud features, external structure and external point cloud features;

[0030] The internal structure, internal point cloud features, external structure and external point cloud features are learned using the graph pooling method. The distance between the external point cloud and the internal point cloud is measured using the triplet loss function. The geometric relationship and hierarchical relationship between the external point cloud and the internal point cloud are learned using the convolutional neural network.

[0031] According to the geometric relationship and hierarchical relationship between the external point cloud and the internal point cloud, the external real-life point cloud data and the internal real-life point cloud data are fused to obtain a three-dimensional model of the building construction equipment. The inner and outer surfaces of the three-dimensional model of the building construction equipment are reconstructed using image texture mapping technology to obtain a real-scene three-dimensional model of the building construction equipment.

[0032] Preferably, the internal data processing end also includes: an inspection management module, which is used to record and query the inspection history of building construction equipment; it is also used to record and query the inspection history of building construction equipment and generate an inspection list; it is also used to define and manage checkpoints of building construction equipment; it is also used to manage the personnel information of those who perform inspection tasks and provide workload and efficiency statistics of inspection personnel.

[0033] Preferably, the internal data processing end further includes: a health management module, which is used to calculate the health value of building construction equipment in real time and generate a health status report of building construction equipment as needed.

[0034] (III) Beneficial effects

[0035] The present invention provides a digital management method and system for building construction equipment. Compared with the prior art, it has the following beneficial effects:

[0036] The present invention realizes comprehensive integration and sharing of equipment information by constructing a digital management system, reduces manual operations and manual records, and improves the automation level of management and work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 It is a block diagram of a digital management method for building construction equipment;

[0039] Figure 2 A flowchart for constructing a realistic 3D model of building equipment;

[0040] Figure 3 It is a web page display diagram of the three-dimensional model of building equipment;

[0041] Figure 4 This is the functional architecture diagram of the digital management system for building construction equipment;

[0042] Figure 5 This is the technical architecture diagram of the digital management system for building construction equipment;

[0043] Figure 6 A system interface diagram for the 3D model display module;

[0044] Figure 7 This is the system interface diagram of the building construction archive management module;

[0045] Figure 8 This is the inspection record management interface diagram of the inspection management module;

[0046] Fig. 9 This is the inspection status list interface diagram of the inspection management module;

[0047] Fig.10 This is a diagram of the checkpoint management interface of the checkpoint management module;

[0048] Fig.11 This is the inspection personnel management interface diagram of the inspection management module;

[0049] Fig.12 This is the system interface diagram of the fault management module;

[0050] Fig.13 This is the APP interface for patrol personnel on their mobile phones. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] The embodiments of the present application provide a digital management method and system for building construction equipment, thereby solving the technical problem of low automation in existing building construction equipment management modes, achieving comprehensive integration and sharing of equipment information, reducing manual operations and manual records, and improving management automation and work efficiency.

[0053] The technical solution in the embodiment of the present application is to solve the above technical problems, and the overall idea is as follows:

[0054] In order to solve the technical problem of low automation of the existing building construction equipment management model, some scholars have studied this problem, but the current research automation level is still low and other problems have been introduced. For example, the document "Zhang Haoran. Design and Implementation of Railway Building Construction Equipment Management System. Qingdao University of Technology, 2021." Using data mining technology, combined with factors such as equipment basic information, operating status and maintenance records, a railway building construction equipment management system was designed and implemented, which can perform fault prediction and early warning and safety risk management. However, the system mainly relies on data mining technology, has weak support for real-time and dynamic data updates, and lacks support for three-dimensional visualization of equipment, which limits managers' comprehensive understanding and real-time monitoring of equipment status.

[0055] Literature "Du Liang. Design and development of Xiongan Station building intelligent operation and maintenance management system. Shijiazhuang Railway University, 2022." Based on the BIM model, the Xiongan Station building intelligent operation and maintenance management system was designed and implemented through sensor monitoring and other means, which can monitor the operation status and fault warning of key parts. Although BIM technology provides a three-dimensional model display, traditional three-dimensional modeling technology based on BIM models mainly relies on software such as 3D Max and AutoCAD for operation. These methods require manual drawing and texture mapping of the model, which is a complex and costly process. At the same time, this method is difficult to accurately restore the details of the building equipment, which limits the accuracy and practicality of the model.

[0056] To solve the above problems, the embodiment of the present invention proposes a digital management method and system for building construction equipment. The solution is based on the existing paper ledger of building construction equipment, and the relevant equipment is hierarchically entered into the database according to the type, material, geographical location, affiliated unit and other labels for management, and is associated with the real-life three-dimensional model of the building construction equipment to achieve visual management of the building construction equipment. At the same time, the embodiment of the present invention proposes a new method for constructing a real-life three-dimensional model combining oblique photography technology and laser scanning, and innovatively proposes a point cloud registration, fusion and optimization technology based on machine learning, which significantly improves the restoration and clarity of the building construction equipment. In addition, in this solution, the lightweight display of the three-dimensional model of the building construction equipment is realized on the browser side using WebGL technology, which effectively reduces the cost and improves the authenticity and accessibility of the model. This comprehensive method not only solves the data island problem in the traditional management model, but also enhances the accuracy and efficiency of management through real-time data updates and three-dimensional visualization, providing an innovative and efficient solution.

[0057] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0058] Embodiment 1:

[0059] The embodiment of the present invention provides a digital management method for building construction equipment. Figure 1 As shown, the method includes:

[0060] Build a realistic 3D model of building equipment and display it on the web page;

[0061] The three-dimensional model of the building construction equipment is integrated with the digital archive data and a visual operation is performed; the digital archive data includes: equipment information, operation plan, maintenance record, health information and log record.

[0062] like Figure 2 As shown in the figure, the specific process of constructing a realistic 3D model of building equipment includes:

[0063] In step S1, external real scene image data and internal real scene cloud data of building construction equipment at multiple angles are obtained. The specific implementation process is as follows:

[0064] External real-scene image data is external real-scene image data from multiple angles of building construction equipment collected based on oblique photography technology. In the specific implementation process, the images of building construction equipment are captured from multiple angles (including vertical, front view, rear view, left view and right view) through sensors mounted on flying platforms such as drones. These images obtained from multiple perspectives not only provide rich visual information, but also can accurately locate geographic location data. The key parameters of this technology mainly involve image data from each perspective, exposure point coordinates, camera parameters and their relative position relationship.

[0065] The internal real-time point cloud data is collected by laser scanning technology. Laser scanning technology works based on the principle of laser ranging. By recording the laser emission angle and reflection reception time, the three-dimensional point cloud coordinates of the surface of the object being measured can be accurately calculated.

[0066] The computer obtains external real-scene image data and internal real-scene cloud data of the above-mentioned building construction equipment at multiple angles (ie, imports the above-mentioned data into the computer software).

[0067] Import external real-world point cloud data into professional 3D modeling software, set relevant parameters, and process it through spatial triangulation (aerial triangulation solution) to quickly generate accurate 3D point cloud data, namely external real-world point cloud data.

[0068] In the embodiment of the present invention, the process of collecting and processing external real scene image data is as follows:

[0069] The practical application of the embodiment of the present invention is illustrated by taking the 3D modeling of Fuyang Station using the DJI Phantom 4RTK (P4R) drone as an example. First, the modeling area is selected using the DJI Pilot software, and 5 oblique photography paths are quickly planned for the P4R drone; then, the 5 paths are uploaded to the flight control of the P4R drone and the aerial photography mission is started. After 4 sorties and about 70 minutes of image acquisition, a total of 1,366 images are collected; finally, the images collected by the drone are imported into the DJI Terra software, and the relevant parameters are set according to actual needs. After aerial triangulation and texture mapping operations, the 3D model of Fuyang Station can be obtained.

[0070] The process of collecting internal real-time point cloud data is as follows:

[0071] Take the 3D modeling of the Fuyang Station platform using the FARO Focus S350 (abbreviated as: S350) laser scanner as an example. First, through on-site survey, it was determined that 2 / 3 of the platform was selected as the collection channel, and 9 collection sites were set up according to the collection quality requirements; then, the S350 was used to collect point clouds at 9 sites from south to north. After about 90 minutes of collection, a total of 1.16GB of point cloud data was obtained; finally, the collected point cloud data can be imported into the Autodesk ReCap software, and the relevant parameters can be set according to actual needs. After point cloud data processing and 3D model reconstruction, the 3D model of the Fuyang Station platform can be obtained.

[0072] In step S2, semantic segmentation and feature extraction are performed on the external real-world point cloud data and the internal real-world point cloud data based on the deep learning model to obtain the internal structure, internal point cloud features, external structure and external point cloud features. The specific implementation process is as follows:

[0073] The hypersurface Transformer network is used to perform semantic segmentation on the external and internal point cloud data of the building, and then the graph convolutional network is used to identify the different components of the building equipment, including internal structures and external structures such as walls, roofs, doors and windows, and extract the features of the point clouds of different components, including internal point cloud features and external point cloud features such as geometric shapes, texture information and relative coordinates.

[0074] In step S3, the internal structure, internal point cloud features, external structure and external point cloud features are learned using the graph pooling method, the distance between the external point cloud and the internal point cloud is measured using the triplet loss function, and the geometric relationship and hierarchical relationship between the external point cloud and the internal point cloud are learned using the convolutional neural network. The specific implementation process is as follows:

[0075] The graph pooling method is used to learn the intrinsic structure and features of the two types of point clouds, the triplet loss function is used to measure the distance between point clouds, and the convolutional neural network is used to learn the geometric and hierarchical relationships between point clouds.

[0076] In step S4, according to the geometric relationship and hierarchical relationship between the external point cloud and the internal point cloud, the external real-life point cloud data and the internal real-life point cloud data are fused to obtain a three-dimensional model of the building construction equipment, and the inner and outer surfaces of the three-dimensional model of the building construction equipment are reconstructed using image texture mapping technology to obtain a real-life three-dimensional model of the building construction equipment. The specific implementation process is as follows:

[0077] A three-stage point cloud fusion method is used to fuse the external and internal 3D point cloud data of building construction equipment. In the first stage, the curvature-bounding box method is used to thin the point cloud. In the second stage, the rotation angle constrained iterative nearest point method is used to align the thinned point cloud. In the third stage, the point cloud filtering method is used to optimize the aligned point cloud. After the above three stages, the fused 3D point cloud can be obtained. Finally, the fused 3D point cloud is converted into OBJ or FBX formats that can be processed by WebGL.

[0078] The specific steps of each stage of the three-stage point cloud fusion method are as follows:

[0079] The first stage: Use the curvature-bounding box method for the external real-world point cloud data to obtain the point cloud model P; use the curvature-bounding box method for the internal real-world point cloud data to obtain the point cloud model Q.

[0080] The second stage: Use the rotation angle constrained iterative closest point method to align the point cloud model P and the point cloud model Q; obtain the registered three-dimensional point cloud model that combines the internal real scene with the external real scene.

[0081] The third stage: Use the point cloud filtering method to optimize the registered three-dimensional point cloud model to obtain the three-dimensional model of the building construction equipment.

[0082] Image texture mapping technology is used to reconstruct the internal and external three-dimensional surface models of building construction equipment, thereby obtaining a highly realistic real-life three-dimensional model of the building construction equipment.

[0083] In the specific implementation process, the method for constructing the real-scene three-dimensional model of the building construction equipment further includes S5, optimizing the real-scene three-dimensional model of the building construction equipment. The specific implementation process is as follows:

[0084] The deep learning model is used to learn the noise distribution of point cloud data, thereby effectively removing redundant noise points. At the same time, the geometric structure and features of the point cloud are also learned, and the missing point cloud data is completed, thereby improving the integrity and clarity of the three-dimensional model of building construction equipment.

[0085] In a specific implementation process, the method for constructing a real-scene three-dimensional model of building construction equipment further includes S6, performing lightweight display of the optimized real-scene three-dimensional model of building construction equipment.

[0086] The lightweight display technology of 3D models of building construction equipment is based on WebGL (Web Graphics Library) technology. WebGL is a JavaScript API for interactively presenting 3D models in compatible web browsers. Users can operate 3D models of building construction equipment without installing additional plug-ins. Through WebGL-based visualization tools, 3D models of building construction equipment can be converted into web page formats and displayed in a lightweight manner in web browsers. The model mesh and texture are optimized to reduce the data transmission load, thereby speeding up the rendering of the model and enabling quick viewing and operation on the browser side. The specific steps are as follows:

[0087] S601: Set up the display environment of the 3D model. Use the CDN link to introduce the Three.js library into the HTML document, and use Three.js to set the scene and camera to complete the initialization of the WebGL renderer;

[0088] S602: Load and display the 3D model. Use the Loader function of Three.js to load the 3D model in the corresponding format, configure the camera position to display the model at the appropriate position on the web page, and use the OrbitControls controller to implement interactive operations such as rotation, scaling, and translation of the 3D model.

[0089] S603: Dynamic rendering and device adaptation. Use the animate function of Three.js to implement the rendering loop, so as to dynamically update and display the scene. Finally, use methods such as texture compression to improve the loading speed and rendering performance of the model. At the same time, adjust the size of the renderer responsively according to the parameters of different devices to ensure the display effect of the 3D model on different devices.

[0090] Embodiment 2:

[0091] In this embodiment, the digital archive data also includes inspection records.

[0092] The inspection record can be completed by the inspection personnel through a special inspection APP, and there is no need to fill in a paper inspection record form;

[0093] For the inspection photos taken during the inspection, the artificial intelligence algorithm is used to automatically identify the defect type and mark the defect location on the photo. In the specific implementation process, labelimg is used to perform refined defect classification and labeling of building construction equipment, analyze the severity of defects and possible causes, and use the YOLOv5 model to perform preliminary automatic defect identification.

[0094] According to the internal management documents of the railway, the scores corresponding to the defects of the building equipment found during the inspection are calculated, and the current comprehensive health value of the building equipment is calculated according to the formula. The initial health value of the building equipment is 100 points. The relevant documents of the railway stipulate the health value deductions corresponding to different types of defects, such as: 10 points for severe deformation of the roof panel, 7 points for cracked glass curtain wall, etc. The artificial intelligence algorithm can automatically identify the defects in the inspection photos. After confirmation by the inspectors, the system will automatically deduct the corresponding health score, so as to calculate the health value of the building equipment in real time.

[0095] Based on the defects of building equipment found during the inspection, a maintenance suggestion form is automatically generated and sent to the relevant person in charge for confirmation. After confirmation, a maintenance work order is generated. After the defects are eliminated and accepted, the corresponding health value is restored.

[0096] In the specific implementation process, for the inspection records, the method also includes: mapping defect photos to the three-dimensional model of the building construction equipment, and displaying them in the form of icons, and clicking the icon can display a large image; each time an inspection is completed through the APP, an inspection record will be formed in the system, and relevant information of the inspection can be traced back, such as: inspection personnel, time, defect photos, etc.; inspection record review function, the squad leader needs to review 100% of the inspection records, the group leader needs to review 50% of the inspection records, and the director needs to review 20% of the inspection records. If the standards are not met, the system will automatically prompt the relevant leaders.

[0097] Embodiment 3:

[0098] This embodiment discloses a digital management system for building construction equipment, which includes: an external data collection end and an internal data processing end.

[0099] Among them, the external data collection end is used to collect external real-scene image data and internal real-scene cloud data of building construction equipment;

[0100] The internal data processing end includes: support engine module, 3D model display module and building archive management module;

[0101] Among them, the support engine module is used to obtain external real-scene image data and internal real-scene point cloud data, and is also used to process the external real-scene image data to obtain external real-scene point cloud data, and build a real-scene three-dimensional model of building construction equipment based on the external real-scene point cloud data and the internal real-scene point cloud data. The specific process of building a real-scene three-dimensional model of building construction equipment based on the external real-scene point cloud data and the internal real-scene point cloud data is as described in Implementation 1, and will not be repeated here.

[0102] The three-dimensional model display module is used to display the three-dimensional model of the building construction equipment on the web page, such as Figure 3 shown.

[0103] Building construction archive management module, which is used to store and manage maintenance records, equipment information, work plans, vehicle information and log records, etc., and archive these data digitally to obtain digital archive data.

[0104] At the internal data processing end, the three-dimensional model of building construction equipment and the digital archive data in the building construction archive management module are integrated and can be operated visually.

[0105] Combine the following Figure 4 This embodiment is described in detail:

[0106] During the specific implementation process, the external data collection end and internal data processing end of the digital management system of building construction equipment transmit data through gigabit fiber optic networks, wireless LANs, 5G private networks and other networks.

[0107] Building construction archive management module, which is used to store and manage archive data, including maintenance records, equipment information, work plans, vehicle information and log records.

[0108] The internal data processing end also includes an application function module, which is used to manage and run various functions of the system.

[0109] The 3D model display module includes large-screen display and computer terminal display. In addition to displaying the 3D model of building construction equipment, the 3D model display module is also used to display internal real-scene 3D models, external real-scene 3D models and various functional interfaces in the functional 3D model display module.

[0110] During the specific implementation process, the digital management system for building construction equipment also includes a mobile terminal, which interacts with the internal data processing terminal through gigabit fiber optic networks, wireless local area networks, 5G private networks and other networks. The mobile terminal can realize the function of the three-dimensional model display module.

[0111] During the specific implementation process, the digital management system for building construction equipment also includes a security operation and maintenance module. The functions of this module are implemented on the mobile terminal or the internal data processing terminal, and mainly include gateway control, user management, role management, menu management, login authentication, operation logs, etc.

[0112] At the same time, the overall technical architecture of the management system is Figure 5 As shown in the figure, the Web server uses a combination of Nginx and Php-fpm to implement a statically separated deployment solution. At the same time, Nginx is used to implement the reverse proxy and load balancing functions. Redis is used as the system data cache middleware to cache data such as the authorization information of logged-in users. The mainstream RestfulAPI is used for front-end and back-end interaction, and Json is used as the main data format for interaction.

[0113] In the specific implementation process, the 3D model display module also supports zooming in on each station area through the station area switching button. The system interface is as follows: Figure 6 shown.

[0114] On the map, this module can accurately locate the 3D model of building construction equipment, making it easier for managers to view key attribute information such as the structure and appearance of the equipment. The page also displays comprehensive information such as the inspection status of this month, the on-time inspection status of last month, and the number of monthly failures. By clicking on a specific station area, the comprehensive score of the station area can be displayed (see Figure 6 The score is calculated based on the "Railway Transport Building Equipment Overhaul and Repair Rules" and is combined with the level of defects found during inspections and the maintenance status of the station area. It directly reflects the current technical status of the station area. In this way, managers can more intuitively understand the operating status of building equipment and formulate reasonable maintenance plans based on objective data.

[0115] The main function of the building construction archive management module is to build a digital archive of building construction equipment based on the existing paper ledger of building construction equipment. It manages key attributes such as type, material, geographical location, affiliated unit, technical status, and usage status of building construction equipment by labeling. This module not only summarizes various types of building construction equipment such as structures, equipment and facilities by station area, but also lays a solid data foundation for subsequent inspection and fault management. The system interface is as follows Figure 7 This module enables managers to quickly find and reference equipment information through detailed archival information, thereby improving management efficiency and safety of equipment use.

[0116] During the specific implementation process, the internal data processing end of the digital management system of building construction equipment also includes: inspection management module.

[0117] The main functions of the inspection management module include the following four: inspection record management, inspection list, checkpoint management and inspection personnel management. These pages together support the comprehensive digitalization of the inspection process.

[0118] ① Inspection record management: record and query the inspection history of building equipment, including detailed information such as inspection date, inspection personnel and inspection results. Managers can quickly locate the inspection records of a specific time period or equipment through the filtering and search functions, and support the generation of detailed inspection reports. This page also provides the function of editing and deleting inspection records to ensure the accuracy and timeliness of data. The interface of inspection record management is as follows Figure 8 shown.

[0119] ② Inspection list: summarizes and displays the inspection status of building equipment, including station area, equipment name, station account, inspection results and pending matters. In the list, green means that it has been inspected on time, yellow means it is pending inspection, and red means it has not been inspected on time. The list can help managers quickly grasp the inspection cycle and inspection priority of the equipment. The interface of the inspection list is as follows: Fig. 9 shown.

[0120] ③ Checkpoint management: define and manage the checkpoints of building construction equipment, such as key components and consumable parts of equipment. Managers can add, modify or delete checkpoints, set inspection frequency and importance level, etc. At the same time, each checkpoint can be bound to corresponding operation guides and safety precautions to ensure the standardization and effectiveness of the inspection work. The interface of checkpoint management is as follows: Fig.10 shown.

[0121] ④ Inspection personnel management: manage the personnel information of the inspection personnel, including the name, position, contact information and equipment area of ​​the inspection personnel. Support the training record and qualification certification information management of the inspection personnel to ensure that the inspection work is performed by qualified personnel. Provide the workload and efficiency statistics of the inspection personnel to help optimize the staffing and improve the work efficiency. The interface of the inspection personnel management is as follows: Fig.11 shown.

[0122] The inspection management module not only improves the maintenance efficiency of building construction equipment by providing comprehensive inspection management functions, but also enhances the ability of preventive maintenance, thereby significantly improving the operating safety and stability of the equipment.

[0123] In the specific implementation process, the internal data processing end of the system also includes a fault management module. The main function of the fault management module is to help managers monitor, record and solve the fault problems of building construction equipment. The system interface of the fault management module is as follows Fig.12 Specific functions include:

[0124] ① Fault record and classification: Based on the fault description uploaded by the inspection personnel, a device fault record is automatically generated in the system and classified according to fault type, severity, occurrence time and other attributes. Managers can quickly locate fault records of specific equipment or time periods through screening and search functions.

[0125] ② Fault analysis and diagnosis: Use machine learning algorithms to classify and label defects in building construction equipment and automatically identify defects, provide fault analysis and diagnosis tools, and help managers analyze the causes and development trends of faults, so as to formulate more effective prevention and response measures.

[0126] ③ Fault handling process management: From fault reporting, technical review, maintenance dispatch to fault repair and re-inspection, the system supports the management of the entire fault handling process. Each step of the operation has clear interface prompts and document support to ensure the standardization and efficiency of fault handling.

[0127] ④ Maintenance personnel and resource scheduling: According to the fault type and handling priority, the system automatically recommends suitable maintenance personnel and necessary maintenance resources. The system also supports real-time tracking and updating of maintenance progress.

[0128] ⑤ Fault reports and statistics: Provide detailed fault reports and statistical analysis, including key indicators such as fault handling time, maintenance cost, and fault frequency. These reports help managers evaluate equipment operation status and optimize maintenance and operation strategies.

[0129] The fault management module not only improves the maintenance and fault handling efficiency of building construction equipment through detailed fault management functions, but also enhances the reliability of equipment and the decision-making support capabilities of managers.

[0130] In the specific implementation process, the fault management module includes a defect analysis submodule, a defect data storage submodule, a defect notification submodule and a defect history data analysis submodule. The defect analysis submodule uses a convolutional neural network (CNN) to conduct an in-depth analysis of the initially identified defects, and generates a report on the defect type, severity and possible causes to provide a basis for maintenance decisions. The defect data storage submodule is used to record and store all identified defect information, including defect location, identification time, defect pictures and analysis reports, for subsequent data statistics and analysis. After a defect is discovered, the defect notification submodule can automatically generate a notification and send it to the relevant maintenance personnel. The notification content includes defect details and recommended handling measures to ensure timely response and handling of defects. The defect notification submodule is connected to the mobile terminal application. The relevant maintenance personnel can receive defect notifications in real time through the mobile terminal, and view defect details and handling suggestions to improve response speed and work efficiency.

[0131] The internal data processing end also includes: a health management module, which is used to calculate the health value of the building construction equipment in real time and generate a health status report of the building construction equipment as needed.

[0132] The digital management system for building construction equipment also includes a mobile APP for inspectors, whose main functions include: providing inspectors with a series of convenient inspection tools and functions. The main function pages of the APP are as follows: Fig.13 Specific functions include:

[0133] ①Task issuance and management: Inspectors can view the inspection tasks that need to be completed on the APP, accept new tasks and update task status, and can also view the detailed files, historical maintenance records and inspection guides of the inspection equipment.

[0134] ② On-site inspection records: The APP supports on-site data entry. Inspectors can complete inspection records by clicking on the APP. There is no need to fill in paper inspection forms. At the same time, they can also upload defect pictures and defect descriptions to improve the real-time and completeness of the inspection.

[0135] ③Navigation and positioning: Using GPS and built-in maps, the APP provides inspection personnel with the function of navigating to designated checkpoints. At the same time, it supports RFID, QR code and other technologies to help quickly identify and locate equipment.

[0136] ④ Communication and collaboration: The APP has built-in communication functions, which support instant communication and information sharing between inspectors and the management center, maintenance personnel and other inspectors. This helps to quickly respond to faults and coordinate emergency repairs.

[0137] In summary, compared with the prior art, the present invention has the following beneficial effects:

[0138] (1) Improve the efficiency of building equipment management: By building a digital management system, we can achieve comprehensive integration and sharing of equipment information, reduce manual operations and manual records, and improve the degree of management automation and work efficiency.

[0139] (2) Realize the full life cycle management of building construction equipment: Through the connection between the inspection APP and the management system, the full life cycle management of building construction equipment from operation to end of life is realized. The system can record and store the historical data of building construction equipment, including operating status, maintenance records and fault information, so as to build a digital archive of building construction equipment.

[0140] (3) Realize intelligent operation and maintenance of building construction equipment: Use a combination of virtual and real methods to establish a data center for building construction equipment operation and maintenance management, integrate real-scene 3D modeling, big data analysis and artificial intelligence technology, and realize intelligent equipment operation and maintenance management. The system includes key modules such as 3D model display module, building construction file management module, inspection management module, fault management module, and mobile phone APP for inspection personnel.

[0141] (4) Provide data-driven decision support: Through big data analysis and artificial intelligence algorithms, the operation and maintenance data of building construction equipment can be deeply mined, thereby providing managers with scientific decision-making support, optimizing operation and maintenance management strategies, and improving management effectiveness and targeting.

[0142] (5) Optimize the cost-effectiveness of building construction equipment management: Reduce the labor cost and operation and maintenance costs of building construction equipment management through digital and intelligent management methods, and optimize the cost-effectiveness of management by improving resource utilization.

[0143] 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. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0144] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A digital management method for building construction equipment, characterized in that: include: Build a realistic 3D model of building equipment and display it on the web page; The three-dimensional model of the building construction equipment is integrated with the digital archive data and visualized; The digital archive data includes: equipment information, operation plan, maintenance record, health information and log record.

2. The digital management method for building construction equipment according to claim 1, characterized in that: The digital archival data also includes inspection records, which are recorded by inspection personnel through the inspection APP.

3. The digital management method for building construction equipment according to claim 2, characterized in that: The inspection record includes inspection photos taken during the inspection process, and the digital management method for building construction equipment also includes: an artificial intelligence algorithm automatically identifies the defect type in the inspection photo and marks the defect location on the inspection photo.

4. The digital management method for building construction equipment according to any one of claims 1 to 3, characterized in that: The method of constructing a real-life three-dimensional model of building construction equipment includes: Acquire external real-scene image data and internal real-scene cloud data of building construction equipment at multiple angles; and process the external real-scene image data at multiple angles to obtain external real-scene cloud data; Based on the deep learning model, semantic segmentation and feature extraction are performed on the external real-life point cloud data and the internal real-life point cloud data to obtain the internal structure, internal point cloud features, external structure and external point cloud features; The internal structure, internal point cloud features, external structure and external point cloud features are learned using the graph pooling method. The distance between the external point cloud and the internal point cloud is measured using the triplet loss function. The geometric relationship and hierarchical relationship between the external point cloud and the internal point cloud are learned using the convolutional neural network. According to the geometric relationship and hierarchical relationship between the external point cloud and the internal point cloud, the external real-life point cloud data and the internal real-life point cloud data are fused to obtain a three-dimensional model of the building construction equipment. The inner and outer surfaces of the three-dimensional model of the building construction equipment are reconstructed using image texture mapping technology to obtain a real-scene three-dimensional model of the building construction equipment.

5. A digital management system for building construction equipment, characterized in that: include: Internal data processing end; The internal data processing end includes: a support engine module, a three-dimensional model display module and a building construction archive management module; The supporting engine module is used to obtain external real-scene image data and internal real-scene point cloud data, and is also used to process the external real-scene image data to obtain external real-scene point cloud data, and to construct a real-scene three-dimensional model of the building construction equipment based on the external real-scene point cloud data and the internal real-scene point cloud data; The three-dimensional model display module is used to display the three-dimensional model of the building construction equipment on the web page; Building construction archive management module, which is used to store and manage archive data, and digitally archive the archive data to obtain digital archive data; wherein the archive data includes maintenance records, equipment information, operation plans, vehicle information and log records; At the internal data processing end, the three-dimensional model of building construction equipment and the digital archive data in the building construction archive management module are integrated and can be operated visually.

6. The digital management system for building construction equipment according to claim 5, characterized in that: The digital management system for building construction equipment also includes an external data collection terminal. The external data collection end is used to collect external real-scene image data and internal real-scene cloud data of building construction equipment; or / and, APP side; The APP end is used for inspection personnel to write inspection records during the inspection process, and the APP end transmits the inspection records to the internal data processing end via a wireless network.

7. The digital management system for building construction equipment according to claim 6, characterized in that: The internal data processing end receives the inspection record, and automatically identifies the defect type in the inspection photo of the inspection record through an artificial intelligence algorithm, and marks the defect location on the inspection photo.

8. The digital management system for building construction equipment according to any one of claims 5 to 7, characterized in that: The method of constructing a real-scene three-dimensional model of building construction equipment based on external real-scene cloud data and internal real-scene cloud data includes: Based on the deep learning model, semantic segmentation and feature extraction are performed on the external real-life point cloud data and the internal real-life point cloud data to obtain the internal structure, internal point cloud features, external structure and external point cloud features; The internal structure, internal point cloud features, external structure and external point cloud features are learned using the graph pooling method. The distance between the external point cloud and the internal point cloud is measured using the triplet loss function. The geometric relationship and hierarchical relationship between the external point cloud and the internal point cloud are learned using the convolutional neural network. According to the geometric relationship and hierarchical relationship between the external point cloud and the internal point cloud, the external real-life point cloud data and the internal real-life point cloud data are fused to obtain a three-dimensional model of the building construction equipment. The inner and outer surfaces of the three-dimensional model of the building construction equipment are reconstructed using image texture mapping technology to obtain a real-scene three-dimensional model of the building construction equipment.

9. The digital management system for building construction equipment according to any one of claims 5 to 7, characterized in that: The internal data processing end also includes: an inspection management module, which is used to record and query the inspection history of building construction equipment; it is also used to record and query the inspection history of building construction equipment and generate an inspection list; it is also used to define and manage inspection points of building construction equipment; it is also used to manage the personnel information of those who perform inspection tasks and provide workload and efficiency statistics of inspection personnel.

10. The digital management system for building construction equipment according to any one of claims 5 to 7, characterized in that: The internal data processing end also includes: a health management module, which is used to calculate the health value of building construction equipment in real time and generate a building construction equipment health status report as needed.

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