Fusion method of valve hall real scene model and BIM model

Abstract

The invention provides a fusion method of a valve hall real scene model and a BIM model, and relates to the technical field of building information. The fusion method of the valve hall real scene model and the BIM model comprises the steps of data acquisition, data preprocessing, fusion matching and fusion post-processing. According to the method, the accuracy and practicability of the model are improved, the actual site situation can be reflected more accurately in design, construction and operation and maintenance management of a power system, then, comprehensive information management of the valve hall equipment and structure is achieved by fusing the BIM model and the live-action model, and the operation and maintenance efficiency is improved. Richer and more accurate data support is provided for operation, maintenance and transformation; and secondly, by fusing the valve hall live-action model and the BIM model, the actual condition of a construction site can be reflected more accurately, the design precision and construction efficiency of an engineering project are improved, rework and cost increase caused by information asymmetry are reduced, and the method has important significance for promoting intelligent construction and management of an electric power system.

Description

Technical Field

[0001] The present invention relates to the field of building information technology, and particularly to a method for integrating a valve hall real scene model and a BIM model. Background Art

[0002] The full name of BIM is Building Information Modeling (extended as "Engineering Project Information Modeling"). It digitally simulates the real information of a building, including three-dimensional geometric information and non-geometric information, covering the production and management engineering data throughout the entire life cycle of an engineering project from planning, design, construction, operation to demolition; it can provide "comprehensive simulation and analysis" of the project for personnel in various links such as designers, architects, hydropower and heating engineers, developers, and even end users. It can not only assist designers in improving design quality and efficiency, but also support the reuse of engineering design data, saving costs and reducing resource waste.

[0003] With the development of information technology, BIM technology has gradually become an important tool for modern construction project management. Especially in the construction and maintenance of power systems, accurate three-dimensional models are crucial for design optimization, construction guidance, and operation and maintenance management. However, existing BIM models mainly rely on design drawings and lack a reflection of the actual on-site situation. Especially in renovation projects, there are often large deviations between the information such as the location and size of existing facilities and the design drawings; secondly, traditional BIM models can effectively model the valve hall in the design and planning stages, but lack an accurate presentation of the actual on-site environment after completion. Although real scene models can reflect the on-site situation, the information dimension and design relevance are insufficient. Integrating the two can provide more accurate and comprehensive information support for the operation and maintenance, renovation, etc. of the valve hall, but currently, there is a lack of effective integration methods. Summary of the Invention

[0004] (I) Technical Problems to be Solved

[0005] In view of the deficiencies of the prior art, the present invention provides a method for integrating a valve hall real scene model and a BIM model, and solves the problems raised in the above background art.

[0006] (II) Technical Solutions

[0007] To achieve the above objectives, the present invention is realized through the following technical solutions: A method for integrating a valve hall real scene model and a BIM model, including the following steps:

[0008] Step 1: Data collection:

[0009] Collect the real - scene data and BIM model data of the valve hall. The real - scene data is collected by obtaining point - cloud data through a 3D laser scanning device and taking texture images with a camera. When collecting the real - scene data, multiple control points are set, and their coordinates are determined by a high - precision measuring instrument; the BIM model data is extracted from the existing valve - hall BIM model, including geometric information and component attribute information.

[0010] Step 2: Data pre - processing:

[0011] Denoise, splice, and register the collected real - scene data to make the point - cloud data and texture images have a unified spatial coordinate system; simplify the BIM model data, removing the detailed information with little impact on fusion and repairing geometric errors.

[0012] Step 3: Fusion and matching:

[0013] Extract features from the pre - processed real - scene model and BIM model data, perform initial matching based on the features, and then perform precise matching adjustment through the iterative closest point algorithm combined with texture information to determine the precise matching relationship between the two.

[0014] Step 4: Post - processing of the fusion:

[0015] Integrate the attribute information of the BIM model with the corresponding part of the real - scene model to generate a visualized fusion model, and perform rendering optimization and display - level setting on the fusion model.

[0016] Preferably, in step 1, the scanning angle of the 3D laser scanning device covers all areas to be scanned inside the valve hall, and the scanning accuracy of the 3D laser scanning device reaches the preset accuracy standard; the resolution of the texture image is sufficient to reflect the surface texture details of the internal structure and equipment of the valve hall; the multiple control points are evenly distributed inside the valve hall and the number meets the requirements of precise spatial positioning.

[0017] Preferably, in step 1, the geometric information and component attribute information include the walls of the valve hall, the three - dimensional dimensions, models, and materials of the equipment.

[0018] Preferably, in step 1, it also includes correcting the influence of environmental light and reflection characteristics to improve the quality of the point - cloud data.

[0019] Preferably, in step 2, the denoising process uses a filtering algorithm, which removes the point - cloud noise generated by environmental factors and equipment - self interference while retaining the key geometric features of the point - cloud data; the image splicing uses an image - splicing algorithm, which accurately splices the texture images, and the splicing error is within the allowable range. The registration process realizes the high - precision spatial registration of the point - cloud data and the texture images based on the control points; the simplification process of the BIM model data follows the simplification principle of ensuring the integrity of the key information of the model.

[0020] Preferably, in step three, the extracted features in the real - scene model include geometric feature points and surface normal features, and the extracted features in the BIM model include component boundary features and key node features.

[0021] Preferably, in step four, the integration process accurately assigns the attributes of equipment models, materials, and maintenance information in the BIM model to the corresponding equipment and structural entities in the real - scene model according to the data association rules; the rendering algorithm used in the rendering optimization process enables the fusion model to be clearly displayed under different lighting conditions, with high color restoration and flexible display layer settings.

[0022] (III) Beneficial Effects

[0023] The present invention provides a method for fusing the real - scene model of a valve hall and the BIM model, having the following beneficial effects:

[0024] 1. The present invention improves the accuracy and practicality of the model, enabling it to more accurately reflect the actual on - site situation in the design, construction, and operation and maintenance management of the power system. Secondly, by fusing the BIM model and the real - scene model, comprehensive information management of the valve hall equipment and structures is realized, providing richer and more accurate data support for operation and maintenance and transformation.

[0025] 2. By fusing the real - scene model of the valve hall and the BIM model, the present invention can more accurately reflect the actual situation of the construction site, improve the design accuracy and construction efficiency of engineering projects, reduce rework and cost increase caused by information asymmetry, and is of great significance for promoting the intelligent construction and management of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a schematic flow chart of the fusion method of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0028] Embodiment 1:

[0029] As Figure 1 shown, the embodiment of the present invention provides a method for fusing the real - scene model of a valve hall and the BIM model, including the following steps:

[0030] Step 1: Data collection:

[0031] Collect the real - scene data and BIM model data of the valve hall. The real - scene data is collected by obtaining point - cloud data through a 3D laser scanning device and taking texture images using a camera. When collecting the real - scene data, multiple control points are set, and their coordinates are determined by a high - precision measuring instrument; the BIM model data is extracted from the existing valve hall BIM model, including geometric information and component attribute information.

[0032] Step 2: Data pre - processing:

[0033] Denoise, stitch, and register the collected real - scene data to make the point - cloud data and texture images have a unified spatial coordinate system; simplify the BIM model data, remove the detailed information with little impact on the fusion and repair geometric errors.

[0034] Step 3: Fusion and matching:

[0035] Extract features from the pre - processed real - scene model and BIM model data, perform initial matching based on the features, and then use the iterative closest point algorithm combined with texture information for precise matching adjustment to determine the precise matching relationship between the two.

[0036] Step 4: Post - processing of the fusion:

[0037] Integrate the attribute information of the BIM model with the corresponding part of the real - scene model to generate a visualized fusion model, and perform rendering optimization and display - level setting on the fusion model.

[0038] Embodiment 2:

[0039] As Figure 1 shown, an embodiment of the present invention provides a method for fusing a real - scene model and a BIM model of a valve hall, including the following steps:

[0040] Step 1: Data collection:

[0041] 1. Real - scene data collection: Use 3D laser scanning technology to scan the inside of the valve hall in all directions. The scanning angle of the 3D laser scanning device covers all areas to be scanned inside the valve hall, and the scanning accuracy of the 3D laser scanning device reaches the preset accuracy standard to obtain point - cloud data. At the same time, use a high - resolution camera to take texture images of the inside of the valve hall at different angles. The resolution of the texture images is sufficient to reflect the surface texture details of the internal structure and equipment of the valve hall. During the collection process, multiple control points are set. The multiple control points are evenly distributed inside the valve hall and the number meets the requirements of precise spatial positioning to ensure the spatial position accuracy of the point - cloud data and image data. The coordinates of the control points are measured by a high - precision total station.

[0042] 2. BIM model data extraction: Extract geometric information, component attribute information, etc. from the existing valve hall BIM model, including information such as the walls of the valve hall, the three-dimensional dimensions, models, and materials of the equipment, and store this information in a standard data format;

[0043] 3. It also includes correcting the influence on environmental light and reflection characteristics to improve the quality of the point cloud data.

[0044] Step 2: Data preprocessing:

[0045] 1. Real scene data processing: Denoise the collected point cloud data. The denoising process uses a filtering algorithm that removes the point cloud noise generated by environmental factors and equipment self-interference while retaining the key geometric features of the point cloud data. Use the image stitching algorithm to accurately stitch the texture images, with the stitching error within the allowable range. The registration process realizes the high-precision spatial registration of the point cloud data and the texture image based on the control points. Register the point cloud data and the texture mapping diagram through the control points to make them have a unified spatial coordinate system;

[0046] 2. BIM model data optimization: Simplify the extracted BIM model data, remove the detailed information with little influence on the fusion effect, such as the overly complex geometric descriptions of some decorative lines, and at the same time check and repair the geometric errors in the model to ensure the accuracy of the model. The simplification process of the BIM model data follows the simplification principle of ensuring the integrity of the key information of the model.

[0047] Step 3: Fusion and matching:

[0048] 1. Feature extraction: Extract features from the preprocessed real scene point cloud data and BIM model data. For example, for the point cloud data, extract geometric feature points and surface normal features; for the BIM model, extract the boundary features and key node features of the components;

[0049] 2. Initial matching: Based on the extracted features, use a feature-based matching algorithm, such as the nearest neighbor algorithm, to find the possible matching parts in the real scene model and the BIM model, and determine the initial matching relationship;

[0050] 3. Precise matching adjustment: Optimize and adjust the initial matching result through the iterative closest point algorithm (ICP), calculate the transformation matrix between the point cloud data and the BIM model, and make the two accurately aligned in space. At the same time, further optimize the matching according to the texture information. For the areas with obvious texture features, calculate the texture similarity to assist in adjusting the matching result.

[0051] Step 4: Post-processing after fusion:

[0052] 1. Data integration: Integrate the BIM model data and the real-scene model data after exact matching, and assign the attribute information of the BIM model to the corresponding parts of the real-scene model. For example, accurately assign the attributes of equipment models, materials, and maintenance information in the BIM model to the corresponding equipment and structural entities in the real-scene model according to the data association rules;

[0053] 2. Model optimization display: Generate a visual integrated model based on the integrated model data. Optimize the rendering of the model, adjust display parameters such as lighting and color, so that the integrated model can more clearly and intuitively display the actual state and design information of the valve hall. At the same time, different display levels can be set according to user needs, such as only displaying equipment information, or displaying both structural and equipment information at the same time; Secondly, the rendering algorithm used in the rendering optimization process enables the integrated model to be clearly displayed under different lighting conditions, with high color restoration and flexible display level settings.

[0054] In summary, the present invention provides an efficient and accurate method for fusing the real-scene model of the valve hall and the BIM model, which can not only improve the accuracy and practicality of the model, but also provide strong technical support for engineering design, construction, and operation and maintenance management; Secondly, by fusing the BIM model and the real-scene model, comprehensive information management of the equipment and structure of the valve hall is realized, providing richer and more accurate data support for operation and maintenance and transformation. Through the detailed description of the above embodiments, those skilled in the art can clearly understand the implementation manner of the present invention and can make corresponding adjustments and applications according to actual needs. In addition, the present invention can also adapt to valve hall projects of different scales and complexities and has a wide application prospect.

[0055] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for integrating a valve hall real-scene model with a BIM model, characterized in that: The following steps are involved: Step 1: Data collection: Collect the real scene data and BIM model data of the valve hall. The real scene data is collected by obtaining point cloud data through 3D laser scanning equipment and taking texture images with a camera. Multiple control points are set when collecting real scene data, and their coordinates are determined by high-precision measuring instruments. The BIM model data extracts geometric information and component attribute information from the existing valve hall BIM model; Step 2: Data preprocessing: De-noising, image stitching and registration are performed on the collected real-scene data to make the point cloud data and texture images have a unified spatial coordinate system; the BIM model data is simplified to remove detail information that has little impact on fusion and repair geometric errors; Step 3: Fusion matching: Extract features from the pre-processed real-life model and BIM model data, perform initial matching based on the features, and then use the iterative closest point algorithm combined with texture information to make precise matching adjustments to determine the precise matching relationship between the two. Step 4: Post-fusion processing: Integrate the attribute information of the BIM model with the corresponding parts of the real-life model to generate a visual fusion model, and perform rendering optimization and display level settings on the fusion model.

2. The method for integrating a valve hall real-scene model with a BIM model according to claim 1, characterized in that: In step one, the scanning angle of the three-dimensional laser scanning equipment covers all areas to be scanned inside the valve hall, and the scanning accuracy of the three-dimensional laser scanning equipment reaches the preset accuracy standard; the resolution of the texture image is sufficient to reflect the internal structure of the valve hall and the surface texture details of the equipment; the multiple control points are evenly distributed in the valve hall and the number meets the requirements of precise spatial positioning.

3. The method for integrating a valve hall real-scene model with a BIM model according to claim 2, characterized in that: In step 1, the geometric information and component attribute information include the walls of the valve hall and the three-dimensional size, model, and material of the equipment.

4. The method for integrating a valve hall real-scene model with a BIM model according to claim 3 is characterized in that: Step 1 also includes correcting the effects of ambient light and reflection characteristics to improve the quality of the point cloud data.

5. The method for integrating a valve hall real-scene model with a BIM model according to claim 1, characterized in that: In step 2, the denoising process uses a filtering algorithm, which removes point cloud noise caused by environmental factors and equipment interference, while retaining key geometric features of the point cloud data; the image stitching uses an image stitching algorithm, which accurately stitches texture images, and the stitching error is within an allowable range. The registration process achieves high-precision spatial registration of point cloud data and texture images based on control points; the BIM model data simplification process follows the simplification principle of ensuring the integrity of key model information.

6. The method for integrating a valve hall real-scene model with a BIM model according to claim 1, characterized in that: In step three, the extracted features in the real-life model include geometric feature points and surface normal features, and the extracted features in the BIM model include component boundary features and key node features.

7. The method for integrating a valve hall real-scene model with a BIM model according to claim 1, characterized in that: In step 4, the integration process accurately assigns the attributes of equipment model, material, and maintenance information in the BIM model to the corresponding equipment and structural entities in the real-life model based on data association rules; the rendering algorithm used in the rendering optimization process enables the fused model to be clearly displayed under different lighting conditions, with high color reproduction and flexible display level settings.

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