Engineering progress verification system based on BIM and video fusion technology

Abstract

The invention discloses a project progress verification system based on a BIM and a video fusion technology, and the system comprises a BIM model loading module which is used for obtaining a BIM model file and loading a BIM model; the engineering video acquisition module acquires video stream data of a construction site through preset engineering video acquisition equipment; the fusion management module fuses the acquired video stream data with the BIM model to obtain a fusion model; the feature extraction module determines a key area position which is marked on the BIM model in advance, extracts model data on the key area position and performs model feature extraction; and the progress verification module performs data matching on the model features extracted from all the key area positions according to a preset feature library, determines the construction progress of all the key area positions according to a matching result, and generates a project progress verification result. According to the method, the engineering progress can be automatically, efficiently and accurately compared, and the condition of the engineering progress can be more intuitively displayed.

Description

Technical Field

[0001] The present invention belongs to the technical field of engineering detection, and in particular relates to an engineering progress verification system based on BIM and video fusion technology. Background Art

[0002] In the field of construction engineering, with the continuous development of technology, accurate control and monitoring of project progress has become a key link to ensure the smooth progress of the project. Traditional project progress management mainly relies on manual recording and comparison, which is not only inefficient but also prone to errors, and it is difficult to meet the accuracy and real-time requirements of modern construction projects for progress management.

[0003] In recent years, the rapid development of building information modeling (BIM) technology and video processing technology has provided new solutions for project progress management. BIM technology uses digital means to perform three-dimensional modeling of buildings, realizes the integration and sharing of building information, and provides strong data support for project progress management. Video processing technology can record the situation of the construction site in real time, providing intuitive visual information for project progress comparison.

[0004] However, the application of existing BIM technology and video processing technology in project progress management still has some defects. First, although BIM technology can provide rich building information, how to effectively compare this information with the actual situation on the construction site is still an unresolved problem. Secondly, although video processing technology can record the situation on the construction site, how to extract key information from these massive video data and integrate and compare it with BIM data is also a technical problem. Summary of the invention

[0005] In view of this, the purpose of the present invention is to propose a project progress verification system based on BIM and video fusion technology, which can realize automatic, efficient and accurate comparison of project progress and can more intuitively display the project progress.

[0006] In order to achieve the above object, the present invention provides the following technical solutions:

[0007] The present invention provides a project progress verification system based on BIM and video fusion technology, comprising:

[0008] BIM model loading module, used to obtain BIM model files and load BIM models;

[0009] The engineering video acquisition module is used to acquire video stream data of the construction site through a preset engineering video acquisition device;

[0010] A fusion management module is used to fuse the acquired video stream data with the BIM model to obtain a fusion model;

[0011] The feature extraction module is used to determine the key area positions pre-marked on the BIM model, extract the model data at the corresponding key area positions on the fusion model, and perform model feature extraction;

[0012] The progress verification module is used to perform data matching on the model features extracted from all key area locations according to the preset feature library, determine the construction progress of all key area locations according to the matching results and generate the project progress verification results.

[0013] Preferably, the BIM model loading module includes:

[0014] A model acquisition unit, used to acquire a BIM model file of a pre-designed engineering project in a preset format;

[0015] Model loading unit, used to load the BIM model file into the set model preview space;

[0016] The model editing unit is used to edit and adjust the BIM model according to the editing instructions issued by the user to the BIM model through the model preview space, and to mark the key area positions on the BIM model according to the marking instructions issued by the user to the BIM model through the model preview space;

[0017] The model management unit is used to record and manage the relative position parameters of the BIM model and the construction site, and determine the specific orientation, size and position of the BIM model when it is mapped to the preset coordinate system based on the relative position parameters.

[0018] Preferably, the engineering video acquisition module includes:

[0019] A mobile control unit, which is used to carry the camera equipment and move around the construction site according to instructions, wherein the mobile control unit includes an unmanned vehicle and a drone;

[0020] An angle control unit, used to adjust the shooting angle of the camera device according to the instruction;

[0021] Camera equipment, used to obtain engineering images of the construction site according to instructions;

[0022] The parameter management unit is used to obtain and manage the control parameters of the mobile control unit and the camera device, wherein the control parameters include position parameters, deflection angle parameters and camera parameters.

[0023] Preferably, the fusion management module performs the following operations:

[0024] Determine, based on the acquired video stream data, the control parameters recorded by the engineering video acquisition module when acquiring any single frame image in the video stream data;

[0025] Determine the corresponding position, shooting angle, lens angle and shooting distance of the engineering video acquisition module in the BIM model based on the control parameters and perform compensation calibration on the camera in the model preview space;

[0026] Based on the compensation calibration results, the lens distortion of any single frame image in the video stream data is corrected, and the corresponding position, shooting angle, lens angle and shooting distance of the engineering video acquisition module in the construction site are calibrated;

[0027] Convert the coordinate points mapped in any single frame image in the video stream data to the coordinate points in the model preview space;

[0028] For multiple consecutive single-frame images in the video stream data, multiple single-frame images shot at different corresponding positions, shooting angles and lens angles are reconstructed to generate a three-dimensional point cloud model;

[0029] For multiple consecutive single-frame images in the video stream data, multiple single-frame images shot at the same corresponding position, shooting angle and lens angle are fused through an image compensation algorithm to obtain an optimized image;

[0030] The three-dimensional point cloud model, optimized image and BIM model are fused respectively to obtain a fusion model.

[0031] Preferably, compensating calibration of the camera in the model preview space includes:

[0032] Based on the control parameters, the corresponding position of the engineering video acquisition module in the BIM model is determined, and the shooting angle is established according to the preset position fluctuation range and shooting angle fluctuation range to establish a full affine model sample library;

[0033] Load the BIM model in the model preview space and reproduce the corresponding position, shooting angle, lens angle and shooting distance of the engineering video acquisition module based on the control parameters, and simulate the spatial position, shooting angle, lens angle and shooting distance of the camera lens based on the full affine model sample library to obtain a simulated image of the BIM model, and obtain multiple image samples obtained by the camera at different spatial positions, shooting angles, lens angles and shooting distances;

[0034] Extract edge contour features from the single-frame image to obtain a feature matrix, and match the feature matrix with multiple image samples respectively to obtain the image sample with the highest matching degree and map multiple coordinate points corresponding to the image sample with the single-frame image;

[0035] The corresponding position, shooting angle, lens angle and shooting distance of the engineering video acquisition module corresponding to the image sample in the model preview space are obtained, and a compensation calibration result for the camera is generated.

[0036] Preferably, the feature extraction module performs the following operations:

[0037] Determine the key area positions pre-marked on the BIM model, and determine the corresponding key area positions on the fusion model based on the correspondence between the BIM model and the position points on the fusion model;

[0038] The three-dimensional point cloud model data or optimized image at the corresponding key area position on the fusion model is extracted, and the model feature extraction of the three-dimensional point cloud model or the image feature extraction of the optimized image is performed.

[0039] Preferably, the progress verification module performs the following operations:

[0040] Data matching is performed on the model features extracted from all key area positions according to a preset feature library, wherein the feature library is respectively provided with a model feature set of the three-dimensional point cloud model of the key area position in the full cycle from the start of construction to the end of construction and an image feature set of the optimized image for any key area position, and a corresponding relationship is established between the construction progress of each construction stage and the model feature set of the three-dimensional point cloud model corresponding to the construction stage and the image feature set of the optimized image;

[0041] Based on the matching results, the construction progress of all key area locations is determined and the project progress verification results are generated.

[0042] The present invention has achieved at least the following beneficial effects:

[0043] 1. By combining BIM technology and video processing technology, efficient and accurate comparison of project progress is achieved.

[0044] 2. Through the integration and comparison of BIM and video, the progress of the project can be displayed more intuitively and management efficiency can be improved.

[0045] 3. Through intelligent analysis algorithms, key information in the video can be automatically extracted and accurately compared with BIM data, reducing human intervention and errors.

[0046] 4. It has strong real-time characteristics and can promptly discover and solve problems in the project progress to ensure the smooth progress of the project.

[0047] Other advantages, objectives and features of the present invention will be described in the following description and will be apparent to those skilled in the art to some extent, or those skilled in the art may be taught from the practice of the present invention. The objectives and other advantages of the present invention may be realized and obtained through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to make the purpose, technical solution and beneficial effects of the present invention clearer, the present invention provides the following drawings for illustration:

[0049] Figure 1 It is a structural schematic diagram of a project progress verification system based on BIM and video fusion technology in an embodiment of the present invention. DETAILED DESCRIPTION

[0050] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0051] The project progress verification system based on BIM and video fusion technology provided by the present invention refers to Figure 1 ,include:

[0052] BIM model loading module, used to obtain BIM model files and load BIM models;

[0053] The engineering video acquisition module is used to acquire video stream data of the construction site through a preset engineering video acquisition device;

[0054] A fusion management module is used to fuse the acquired video stream data with the BIM model to obtain a fusion model;

[0055] The feature extraction module is used to determine the key area positions pre-marked on the BIM model, extract the model data at the corresponding key area positions on the fusion model, and perform model feature extraction;

[0056] The progress verification module is used to perform data matching on the model features extracted from all key area locations according to the preset feature library, determine the construction progress of all key area locations according to the matching results and generate the project progress verification results.

[0057] The working principle and beneficial effects of the above technical solution are as follows: the engineering video acquisition module obtains the video stream data of the construction site in real time through the preset engineering video acquisition equipment, and integrates it with the BIM model to realize real-time monitoring of the construction site. The efficient fusion processing capability of the fusion management module ensures the rapid synchronization of the video stream data and the BIM model, so that the engineering progress verification can reflect the on-site construction status in real time and detect construction deviations in time. Due to the use of the feature extraction module, the system can accurately determine the key area positions pre-marked on the BIM model and extract the model data of the corresponding key areas on the fusion model. This process ensures that the features extracted from the video are highly consistent with the features in the BIM model through feature extraction technology, thereby significantly improving the accuracy of the construction progress verification. The progress verification module matches the model features extracted from all key area positions according to the preset feature library. The automated matching process greatly reduces the workload of manual comparison and speeds up the efficiency of construction progress verification. At the same time, the system can quickly generate engineering progress verification results, provide a rapid feedback mechanism for project management, and speed up the response and processing of construction progress issues. The present invention realizes efficient and accurate comparison of project progress by combining BIM technology and video processing technology. Compared with traditional technology, this method has the following advantages: first, through the fusion comparison of BIM and video, it can more intuitively display the progress of the project and improve management efficiency; second, through the intelligent analysis algorithm, it can automatically extract key information in the video and accurately compare it with BIM data, reducing human intervention and errors; third, it has the characteristics of strong real-time performance, which can timely discover and solve problems in the project progress and ensure the smooth progress of the project.

[0058] In a preferred embodiment, the BIM model loading module includes:

[0059] A model acquisition unit, used to acquire a BIM model file of a pre-designed engineering project in a preset format;

[0060] Model loading unit, used to load the BIM model file into the set model preview space;

[0061] The model editing unit is used to edit and adjust the BIM model according to the editing instructions issued by the user to the BIM model through the model preview space, and to mark the key area positions on the BIM model according to the marking instructions issued by the user to the BIM model through the model preview space;

[0062] The model management unit is used to record and manage the relative position parameters of the BIM model and the construction site, and determine the specific orientation, size and position of the BIM model when it is mapped to the preset coordinate system based on the relative position parameters.

[0063] The working principle and beneficial effects of the above technical solution are as follows: Since the model editing unit allows the user to directly issue editing and marking instructions in the model preview space, the present invention provides an intuitive and highly interactive BIM model editing method. This design enables the user to quickly adjust the BIM model according to the actual construction needs, while ensuring the accurate marking of key areas, thereby significantly improving the flexibility and accuracy of model editing. The model management unit is responsible for recording and managing the relative position parameters of the BIM model and the construction site, ensuring that the BIM model can be accurately mapped to the preset coordinate system. This function strengthens the synchronization between the BIM model and the actual construction site, and provides the user with a virtual model that is highly consistent with the on-site construction status, thereby optimizing the construction plan and monitoring process. Through the collaborative work of the model acquisition unit, the model loading unit and the model management unit, the present invention realizes the rapid loading and dynamic updating of the BIM model. The user can timely update the status of the BIM model according to the latest construction progress and changes, including the orientation, size and position of the model. This efficient model management mechanism not only improves the efficiency of engineering management, but also provides real-time and accurate data support for construction decisions. The technical solution of the present invention not only enhances the interactivity and real-time updating capability of the BIM model by providing an integrated BIM model loading and management mechanism, but also improves the accuracy of synchronization between the model and the construction site, thus providing strong support for efficient management and decision-making of engineering projects.

[0064] In a preferred embodiment, the engineering video acquisition module includes:

[0065] A mobile control unit, which is used to carry the camera equipment and move around the construction site according to instructions, wherein the mobile control unit includes an unmanned vehicle and a drone;

[0066] An angle control unit, used to adjust the shooting angle of the camera device according to the instruction;

[0067] Camera equipment, used to obtain engineering images of the construction site according to instructions;

[0068] The parameter management unit is used to obtain and manage the control parameters of the mobile control unit and the camera device, wherein the control parameters include position parameters, deflection angle parameters and camera parameters.

[0069] The working principle and beneficial effects of the above technical solution are as follows: Since the mobile control unit includes an unmanned vehicle and a drone, the present invention allows the camera equipment to move flexibly in a complex construction site environment, thereby achieving comprehensive monitoring of the construction area. This multi-mode mobile control capability significantly improves the coverage of the construction site and ensures that there is no blind spot in the monitoring. The angle control unit can adjust the shooting angle of the camera equipment according to the instruction. Combined with the high-definition engineering images obtained by the camera equipment, the present invention can accurately capture the details of the construction site. At the same time, the ability to dynamically adjust the shooting angle enables the system to optimize the angle and range of image acquisition in real time according to the construction progress and requirements, ensuring that the most valuable visual information is obtained. The parameter management unit is responsible for acquiring and uniformly managing the control parameters of the mobile control unit and the camera equipment, including position parameters, deflection angle parameters and camera parameters. By introducing an accurate camera position setting mechanism, according to the focal length and position angle information of the surveillance camera, it is possible to achieve fine field of view correction of the camera in the BIM model. Through this process, it is ensured that the viewing angle of the BIM model is consistent with the surveillance video stream in details, thereby greatly improving the accuracy of the fusion effect. This centralized management mechanism not only improves the efficiency of parameter configuration, but also enables the system to quickly adjust and optimize the control parameters of the camera equipment according to the specific conditions of the construction site, thereby realizing refined management of construction monitoring. The present invention utilizes the API interface provided by the camera manufacturer to realize remote control of the monitoring camera. By calling these APIs, the user can accurately control the rotation angle and direction of the camera to realize remote control of the camera, including operations such as rotation, zooming, and moving. While the camera is rotating, the present invention can synchronously rotate the camera in the BIM model at the same angle. By accurately calculating the rotation matrix and updating the orientation of the model camera, the consistency of the camera and the model camera during the rotation process is ensured, providing the user with a more natural and intuitive interactive experience. The technical solution of the present invention provides an efficient, flexible and accurate engineering video acquisition system by integrating a mobile control unit, an angle control unit, a camera equipment and a parameter management unit. This system can not only realize comprehensive monitoring of the construction site, but also dynamically adjust the shooting strategy according to actual needs, and optimize the configuration and adjustment process of construction monitoring by centralized management and control parameters.

[0070] In a preferred embodiment, the fusion management module performs the following operations:

[0071] Determine, based on the acquired video stream data, the control parameters recorded by the engineering video acquisition module when acquiring any single frame image in the video stream data;

[0072] Determine the corresponding position, shooting angle, lens angle and shooting distance of the engineering video acquisition module in the BIM model based on the control parameters and perform compensation calibration on the camera in the model preview space;

[0073] Based on the compensation calibration results, the lens distortion of any single frame image in the video stream data is corrected, and the corresponding position, shooting angle, lens angle and shooting distance of the engineering video acquisition module in the construction site are calibrated;

[0074] Convert the coordinate points mapped in any single frame image in the video stream data to the coordinate points in the model preview space;

[0075] For multiple consecutive single-frame images in the video stream data, multiple single-frame images shot at different corresponding positions, shooting angles and lens angles are reconstructed to generate a three-dimensional point cloud model;

[0076] For multiple consecutive single-frame images in the video stream data, multiple single-frame images shot at the same corresponding position, shooting angle and lens angle are fused through an image compensation algorithm to obtain an optimized image;

[0077] The three-dimensional point cloud model, optimized image and BIM model are fused respectively to obtain a fusion model.

[0078] The working principle and beneficial effects of the above technical solution are as follows: the fusion management module accurately determines the position and angle of the engineering video acquisition module in the BIM model by controlling the parameters when acquiring the video stream data. The camera is calibrated using compensation calibration to ensure that the geometric relationship between the video stream data and the BIM model is highly consistent, thereby significantly improving the accuracy of the fusion model. Through the three-dimensional reconstruction of multiple consecutive single-frame images, the present invention can capture the dynamic changes of the construction site in real time and generate a detailed three-dimensional point cloud model. This method not only improves the real-time performance of construction monitoring, but also provides rich three-dimensional spatial data for engineering progress analysis and quality control. The fusion management module uses an image compensation algorithm to fuse the continuous single-frame images to obtain an optimized image. This processing not only corrects the lens distortion, but also improves the clarity and consistency of the image. The fusion of the optimized image and the BIM model further enhances the availability of visual information, allowing engineering managers to more accurately evaluate the construction site situation. The technical solution of the present invention achieves efficient fusion of video stream data and BIM models through precise control and optimization processing of the fusion management module. This method not only improves the accuracy and real-time performance of construction monitoring, but also enhances the evaluation and analysis capabilities of visual information by optimizing image quality, providing strong technical support for construction project management. For fusion models, a simple and efficient viewing mechanism can also be designed to enable users to quickly open the BIM model and immediately view the real-time scene fused with the monitoring video stream. The real-time scene can present a realistic and intuitive building scene through a three-dimensional point cloud model and optimized images, and then refer to the standard state of the BIM model at each construction stage to enable the staff to intuitively feel the overall construction progress of the project. The fusion model after fusion processing is displayed to the user in a visual form, supporting multiple output methods (such as screen display, VR equipment, etc.). And by restoring the previously saved camera state, the user does not need to perform tedious positioning and adjustment operations again, which greatly improves the viewing efficiency.

[0079] In a preferred embodiment, compensating calibration of the camera in the model preview space includes:

[0080] Based on the control parameters, the corresponding position of the engineering video acquisition module in the BIM model is determined, and the shooting angle is established according to the preset position fluctuation range and shooting angle fluctuation range to establish a full affine model sample library;

[0081] Load the BIM model in the model preview space and reproduce the corresponding position, shooting angle, lens angle and shooting distance of the engineering video acquisition module based on the control parameters, and simulate the spatial position, shooting angle, lens angle and shooting distance of the camera lens based on the full affine model sample library to obtain a simulated image of the BIM model, and obtain multiple image samples obtained by the camera at different spatial positions, shooting angles, lens angles and shooting distances;

[0082] Extract edge contour features from the single-frame image to obtain a feature matrix, and match the feature matrix with multiple image samples respectively to obtain the image sample with the highest matching degree and map multiple coordinate points corresponding to the image sample with the single-frame image;

[0083] The corresponding position, shooting angle, lens angle and shooting distance of the engineering video acquisition module corresponding to the image sample in the model preview space are obtained, and a compensation calibration result for the camera is generated.

[0084] The working principle and beneficial effects of the above technical solution are as follows: by establishing a full affine model sample library based on control parameters, the present invention can accurately calibrate the camera in a compensatory manner in the model preview space. This method not only improves the accuracy of the calibration process, but also enhances the adaptability of the system to different shooting conditions through the preset position and angle fluctuation range, is suitable for complex terrain environments at construction sites, and can effectively reduce the deviation of the survey results caused by the equipment position state and the shooting angle deviation. And by using the full affine model sample library, the present invention can reproduce the corresponding position, shooting angle, etc. of the engineering video acquisition module in the model preview space, and simulate the acquisition of the simulated image. This process not only improves the visualization quality of the BIM model, but also provides rich image samples for subsequent feature extraction and image matching. By extracting edge contour features from a single frame image and matching it with multiple image samples based on a feature matrix, the present invention can effectively identify the image sample with the highest matching degree. This process not only improves the accuracy of feature matching, but also realizes the precise spatial correspondence between a single frame image and a BIM model through a mapping process, providing reliable results for camera compensation calibration. The technical solution of the present invention not only improves the accuracy and adaptability of camera calibration by performing compensatory calibration in the model preview space, but also optimizes the spatial mapping relationship between single-frame images and BIM models by simulating image acquisition and feature matching. These beneficial effects provide strong technical support for the visualization, monitoring and analysis of construction projects, and ensure the efficiency and accuracy of construction management.

[0085] In a preferred embodiment, the feature extraction module performs the following operations:

[0086] Determine the key area positions pre-marked on the BIM model, and determine the corresponding key area positions on the fusion model based on the correspondence between the BIM model and the position points on the fusion model;

[0087] The three-dimensional point cloud model data or optimized image at the corresponding key area position on the fusion model is extracted, and the model feature extraction of the three-dimensional point cloud model or the image feature extraction of the optimized image is performed.

[0088] The working principle and beneficial effects of the above technical solution are as follows: the feature extraction module determines the key area position pre-marked on the BIM model, and based on the correspondence between the BIM model and each position point on the fusion model, accurately identifies the corresponding key area on the fusion model. The precise matching of this correspondence ensures the accurate identification of the key area, and provides a reliable basis for subsequent feature extraction and construction progress evaluation. The module can extract three-dimensional point cloud model data or optimize images from the corresponding key area of ​​the fusion model, and then perform model feature extraction or image feature extraction. This step not only enhances the processing capability of the depth and details of the model data, but also provides rich information for analyzing the complex structure and subtle changes in the construction process. By extracting the three-dimensional point cloud or image features of the key area, the present invention can provide more accurate data support for construction progress monitoring and quality control. These feature information can be used for automated progress tracking, quality detection and risk prediction, thereby optimizing the construction management process and improving construction efficiency and safety. The feature extraction module of the present invention not only improves the accuracy and depth of data processing by accurately identifying the key area and extracting its features, but also provides strong technical support for construction monitoring and quality management, and helps to achieve efficient and accurate control of the construction process.

[0089] In a preferred embodiment, the progress verification module performs the following operations:

[0090] Data matching is performed on the model features extracted from all key area positions according to a preset feature library, wherein the feature library is respectively provided with a model feature set of the three-dimensional point cloud model of the key area position in the full cycle from the start of construction to the end of construction and an image feature set of the optimized image for any key area position, and a corresponding relationship is established between the construction progress of each construction stage and the model feature set of the three-dimensional point cloud model corresponding to the construction stage and the image feature set of the optimized image;

[0091] Based on the matching results, the construction progress of all key area locations is determined and the project progress verification results are generated.

[0092] The working principle and beneficial effects of the above technical solution are as follows: the progress verification module can automatically identify and determine the construction progress of key areas by matching data with the preset feature library. Since the feature library is designed based on the BIM model construction steps to include a detailed feature set in the full cycle from the start to the end of construction, this process achieves a high degree of automation and accuracy in the construction progress verification, reducing the error and workload of manual verification. By establishing a corresponding relationship between the construction progress and the corresponding model feature set and image feature set, the present invention can track each stage of the construction progress in real time. This dynamic management method enables project managers to obtain the latest construction status information in a timely manner and quickly respond to possible deviations or problems, thereby effectively controlling the progress of the project. The project progress verification results generated by the progress verification module provide detailed data support for construction quality management. By analyzing the deviation between the construction progress of key areas and the expected target, managers can evaluate the construction quality, predict potential risks, and take corresponding preventive or corrective measures. This data-based decision-making model optimizes the construction quality management process and enhances risk control capabilities.

[0093] Finally, it should be noted that the above preferred embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail through the above preferred embodiments, those skilled in the art should understand that various changes can be made in form and details without departing from the scope defined by the claims of the present invention.

Claims

1. A project progress verification system based on BIM and video fusion technology, characterized in that: include: BIM model loading module, used to obtain BIM model files and load BIM models; The engineering video acquisition module is used to acquire video stream data of the construction site through a preset engineering video acquisition device; A fusion management module is used to fuse the acquired video stream data with the BIM model to obtain a fusion model; The feature extraction module is used to determine the key area positions pre-marked on the BIM model, extract the model data at the corresponding key area positions on the fusion model, and perform model feature extraction; The progress verification module is used to perform data matching on the model features extracted from all key area locations according to the preset feature library, determine the construction progress of all key area locations according to the matching results and generate the project progress verification results.

2. According to claim 1, a project progress verification system based on BIM and video fusion technology is characterized in that: The BIM model loading module includes: A model acquisition unit, used to acquire a BIM model file of a pre-designed engineering project in a preset format; Model loading unit, used to load the BIM model file into the set model preview space; The model editing unit is used to edit and adjust the BIM model according to the editing instructions issued by the user to the BIM model through the model preview space, and to mark the key area positions on the BIM model according to the marking instructions issued by the user to the BIM model through the model preview space; The model management unit is used to record and manage the relative position parameters of the BIM model and the construction site, and determine the specific orientation, size and position of the BIM model when it is mapped to the preset coordinate system based on the relative position parameters.

3. According to claim 1, a project progress verification system based on BIM and video fusion technology is characterized in that: The engineering video acquisition module includes: A mobile control unit, which is used to carry the camera equipment and move around the construction site according to instructions, wherein the mobile control unit includes an unmanned vehicle and a drone; An angle control unit, used to adjust the shooting angle of the camera device according to the instruction; Camera equipment, used to obtain engineering images of the construction site according to instructions; The parameter management unit is used to obtain and manage the control parameters of the mobile control unit and the camera device, wherein the control parameters include position parameters, deflection angle parameters and camera parameters.

4. The engineering progress verification system based on BIM and video fusion technology according to claim 1 is characterized in that: The fusion management module performs the following operations: Determine, based on the acquired video stream data, the control parameters recorded by the engineering video acquisition module when acquiring any single frame image in the video stream data; Determine the corresponding position, shooting angle, lens angle and shooting distance of the engineering video acquisition module in the BIM model based on the control parameters and perform compensation calibration on the camera in the model preview space; Based on the compensation calibration results, the lens distortion of any single frame image in the video stream data is corrected, and the corresponding position, shooting angle, lens angle and shooting distance of the engineering video acquisition module in the construction site are calibrated; Convert the coordinate points mapped in any single frame image in the video stream data to the coordinate points in the model preview space; For multiple consecutive single-frame images in the video stream data, multiple single-frame images shot at different corresponding positions, shooting angles and lens angles are reconstructed to generate a three-dimensional point cloud model; For multiple consecutive single-frame images in the video stream data, multiple single-frame images shot at the same corresponding position, shooting angle and lens angle are fused through an image compensation algorithm to obtain an optimized image; The three-dimensional point cloud model, optimized image and BIM model are fused respectively to obtain a fusion model.

5. The engineering progress verification system based on BIM and video fusion technology according to claim 4 is characterized in that: The compensating calibration of the camera in the model preview space includes: Based on the control parameters, the corresponding position of the engineering video acquisition module in the BIM model is determined, and the shooting angle is established according to the preset position fluctuation range and shooting angle fluctuation range to establish a full affine model sample library; Load the BIM model in the model preview space and reproduce the corresponding position, shooting angle, lens angle and shooting distance of the engineering video acquisition module based on the control parameters, and simulate the spatial position, shooting angle, lens angle and shooting distance of the camera lens based on the full affine model sample library to obtain a simulated image of the BIM model, and obtain multiple image samples obtained by the camera at different spatial positions, shooting angles, lens angles and shooting distances; Extract edge contour features from the single-frame image to obtain a feature matrix, and match the feature matrix with multiple image samples respectively to obtain the image sample with the highest matching degree and map multiple coordinate points corresponding to the image sample with the single-frame image; The corresponding position, shooting angle, lens angle and shooting distance of the engineering video acquisition module corresponding to the image sample in the model preview space are obtained, and a compensation calibration result for the camera is generated.

6. The engineering progress verification system based on BIM and video fusion technology according to claim 4 is characterized in that: The feature extraction module performs the following operations: Determine the key area positions pre-marked on the BIM model, and determine the corresponding key area positions on the fusion model based on the correspondence between the BIM model and the position points on the fusion model; The three-dimensional point cloud model data or optimized image at the corresponding key area position on the fusion model is extracted, and the model feature extraction of the three-dimensional point cloud model or the image feature extraction of the optimized image is performed.

7. The engineering progress verification system based on BIM and video fusion technology according to claim 6 is characterized in that: The progress verification module performs the following operations: Data matching is performed on the model features extracted from all key area positions according to a preset feature library, wherein the feature library is respectively provided with a model feature set of the three-dimensional point cloud model of the key area position in the full cycle from the start of construction to the end of construction and an image feature set of the optimized image for any key area position, and a corresponding relationship is established between the construction progress of each construction stage and the model feature set of the three-dimensional point cloud model corresponding to the construction stage and the image feature set of the optimized image; Based on the matching results, the construction progress of all key area locations is determined and the project progress verification results are generated.

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