Intelligent construction site model implementation method and device, equipment, storage medium and product

Abstract

The invention relates to the technical field of artificial intelligence, and discloses an intelligent construction site model implementation method and device, equipment, a storage medium and a product, and the method comprises the steps: constructing a three-dimensional building information model and a generative artificial intelligence model according to three-dimensional data and a two-dimensional drawing of a construction site, and mapping the three-dimensional building information model and the generative artificial intelligence model to a two-dimensional plane and performing texture mapping to obtain a mapped three-dimensional building information model and a mapped generative artificial intelligence model, and integrating the mapped three-dimensional building information model and the mapped generative artificial intelligence model to obtain an intelligent construction site model. The three-dimensional building information model and the generative artificial intelligence model are constructed by using the three-dimensional data and the two-dimensional drawing of the construction site, and are mapped to the two-dimensional plane for texture mapping, and finally, the models are integrated to obtain the intelligent construction site model, so that the digital mapping of the construction site is realized, and the intelligent level of construction site management is improved.

Description

Technical Field

[0001] The present application relates to the field of artificial intelligence technology, and in particular to a method, device, equipment, storage medium and product for realizing a smart construction site model. Background Art

[0002] Currently, construction site management relies on a variety of advanced technologies, such as building information model visualization technology, big data technology, and Internet of Things technology to improve management efficiency. However, there are still problems in data sharing, collaborative work, data security, and technology maturity, which leads to limitations in construction site management. Continuous exploration and improvement are still needed in the application of technology. Summary of the invention

[0003] The main purpose of this application is to provide a method, device, equipment, readable storage medium and computer program product for realizing a smart construction site model, aiming to solve the technical problem that the application of digital twin technology in the prior art is limited in construction sites, resulting in low efficiency of construction site management.

[0004] To achieve the above objectives, the present application proposes a method for implementing a smart construction site model, the method comprising:

[0005] Build 3D building information models and generative AI models based on 3D data and 2D drawings at the construction site;

[0006] Mapping the three-dimensional building information model and the generative artificial intelligence model onto a two-dimensional plane and performing texture mapping to obtain a mapped three-dimensional building information model and a mapped generative artificial intelligence model;

[0007] A smart construction site model is obtained by integrating the mapped three-dimensional building information model and the mapped generative artificial intelligence model.

[0008] In one embodiment, the three-dimensional building information model and the generative artificial intelligence model are mapped onto a two-dimensional plane and texture mapped to obtain the mapped three-dimensional building information model and the mapped generative artificial intelligence model, comprising:

[0009] Mapping the three-dimensional building information model and the generative artificial intelligence model onto a two-dimensional plane to obtain two-dimensional coordinates;

[0010] Based on the three-dimensional building information model and the generative artificial intelligence model, processing the data in the texture library through image editing software to obtain a texture image;

[0011] Based on the two-dimensional coordinates, the texture image is adjusted to obtain an adjusted texture image;

[0012] The adjusted texture image is applied to the three-dimensional building information model and the generative artificial intelligence model for texture mapping to obtain a mapped three-dimensional building information model and a mapped generative artificial intelligence model.

[0013] In one embodiment, the step of constructing a 3D building information model and a generative artificial intelligence model based on the 3D data and 2D drawings of the construction site includes:

[0014] Preprocess the three-dimensional data of the construction site to obtain preprocessed three-dimensional data;

[0015] Converting the two-dimensional drawing into a recognizable format to obtain a digitized two-dimensional drawing, and constructing a three-dimensional building information model based on the digitized two-dimensional drawing;

[0016] Training a preset generative artificial intelligence model according to the construction site design specifications and historical construction site data to obtain a trained preset generative artificial intelligence model;

[0017] The preprocessed three-dimensional data and the digitized two-dimensional image are input into the trained preset generative artificial intelligence model to obtain a generative artificial intelligence model.

[0018] In one embodiment, the step of obtaining the smart construction site model by integrating the mapped three-dimensional building information model and the mapped generative artificial intelligence model comprises:

[0019] Importing the mapped three-dimensional building information model and the mapped generative artificial intelligence model into a digital twin platform;

[0020] Acquire real-time data of the construction site, input the real-time data into the digital twin platform, and associate it with the mapped three-dimensional building information model and the mapped generative artificial intelligence model;

[0021] A smart construction site model is constructed by integrating the real-time data, the mapped three-dimensional building information model and the mapped generative artificial intelligence model.

[0022] In one embodiment, the step of constructing a smart construction site model by integrating the real-time data, the mapped three-dimensional building information model and the mapped generative artificial intelligence model comprises:

[0023] An initial smart construction site model is constructed by integrating the real-time data, the mapped three-dimensional building information model and the mapped generative artificial intelligence model;

[0024] According to the initial smart construction site model and user requirements, configuring rendering parameters through a rendering engine;

[0025] The rendering parameters are adjusted according to the optimization algorithm to obtain a smart construction site model.

[0026] In one embodiment, after the step of obtaining the intelligent construction site model by integrating the mapped three-dimensional building information model and the mapped generative artificial intelligence model, the step further includes:

[0027] Obtaining real-time progress data of the construction site;

[0028] Analyze the real-time progress data using the analysis tools of the digital twin platform in combination with artificial intelligence algorithms to obtain analysis results;

[0029] The smart construction site model is optimized and updated according to the analysis results.

[0030] In addition, to achieve the above-mentioned purpose, the present application also proposes a smart construction site model implementation device, the smart construction site model implementation device comprising:

[0031] Sub-model construction module, used to build 3D building information model and generative artificial intelligence model based on 3D data and 2D drawings of the construction site;

[0032] A sub-model processing module, used to map the three-dimensional building information model and the generative artificial intelligence model onto a two-dimensional plane and perform texture mapping to obtain a mapped three-dimensional building information model and a mapped generative artificial intelligence model;

[0033] A model integration module is used to obtain a smart construction site model by integrating the mapped three-dimensional building information model and the mapped generative artificial intelligence model.

[0034] In addition, to achieve the above-mentioned objectives, the present application also proposes a smart construction site model implementation device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the smart construction site model implementation method as described above.

[0035] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the smart construction site model implementation method described above are implemented.

[0036] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the smart construction site model implementation method as described above.

[0037] The technical solution proposed in this application constructs a three-dimensional building information model and a generative artificial intelligence model based on the three-dimensional data and two-dimensional drawings of the construction site, maps the three-dimensional building information model and the generative artificial intelligence model to a two-dimensional plane and performs texture mapping, obtains the mapped three-dimensional building information model and the mapped generative artificial intelligence model, and obtains a smart construction site model by integrating the mapped three-dimensional building information model and the mapped generative artificial intelligence model. Since this application uses the three-dimensional data and two-dimensional drawings of the construction site to construct a three-dimensional building information model and a generative artificial intelligence model, and maps them to a two-dimensional plane for texture mapping, the final integrated model obtains a smart construction site model, realizes the digital mapping of the construction site, and improves the level of intelligent construction site management. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0039] In order to more clearly illustrate the embodiments of the present application 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, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0040] Figure 1 A flowchart diagram of the first embodiment of the method for implementing the smart construction site model of this application;

[0041] Figure 2 A flow chart of the second embodiment of the method for realizing the smart construction site model of the present application;

[0042] Figure 3 A flowchart diagram of the third embodiment of the method for implementing the smart construction site model of this application;

[0043] Figure 4 This is a schematic diagram of the module structure of the device for realizing the smart construction site model according to an embodiment of the present application;

[0044] Figure 5 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the smart construction site model implementation method in the embodiment of the present application.

[0045] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0046] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0047] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0048] In the current existing technologies, digital twin technology can reflect the actual situation of the construction site in real time by creating a virtual model corresponding to the actual construction site, providing decision support for managers. However, in actual applications, due to the complexity and variability of the construction site environment, the establishment and maintenance of digital twin models often face challenges.

[0049] Therefore, in order to overcome the above-mentioned defects, the present application provides a solution, which utilizes the three-dimensional data and two-dimensional drawings of the construction site to construct a three-dimensional building information model and a generative artificial intelligence model, and maps them to a two-dimensional plane for texture mapping. Finally, the model is integrated to obtain a smart construction site model, realizing digital mapping of the construction site and improving the level of intelligence of construction site management.

[0050] It should be noted that the execution subject of each embodiment of the present application may be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, a smart construction site model realization device, etc. The following embodiments are described below taking the smart construction site model realization device as an example.

[0051] Based on this, the present application embodiment provides a method for realizing a smart construction site model. Figure 1 , Figure 1 This is a flow chart of the first embodiment of the method for implementing the smart construction site model of the present application.

[0052] In this embodiment, the method for implementing the smart construction site model includes steps S10 to S30:

[0053] Step S10, constructing a three-dimensional building information model and a generative artificial intelligence model based on the three-dimensional data and two-dimensional drawings of the construction site.

[0054] It should be noted that high-precision scanning equipment (such as optoelectronic pods) and sensors can be used to collect three-dimensional data on the construction site, including terrain, buildings, equipment, etc. Collect relevant two-dimensional drawings, such as building plans, construction drawings, etc.

[0055] In addition, it should be noted that 3D Building Information Modeling (BIM) is a method of building design and management based on 3D models, which contains all the physical and functional characteristics of the building, as well as related management information. Generative artificial intelligence (AIGC) model is an artificial intelligence model that can automatically generate or modify data, images, text or other forms of content.

[0056] It should be understood that the original 3D data may contain various noises, outliers and duplicate values, which will affect the accuracy of subsequent 3D modeling and data analysis. Unfavorable factors can be eliminated through cleaning and denoising. In addition, 3D data may come from different sensors or measuring devices, and the data formats and precisions of these devices may be different. These data need to be processed in a unified format and precision to ensure data consistency.

[0057] It should be noted that the original two-dimensional drawings are usually paper or electronic drawing files, which cannot be directly recognized and processed by computers. Therefore, they can be converted into computer-recognizable formats such as DXF and DWG.

[0058] It can be understood that after processing the original data, pre-processed three-dimensional data and digitized two-dimensional images are obtained, and a three-dimensional building information model is constructed based on the digitized two-dimensional images. A generative artificial intelligence model is constructed based on the pre-processed three-dimensional data and the digitized two-dimensional images as a supplement to the three-dimensional building information model, which is used to quickly generate models of non-standard components or complex structures.

[0059] It should be understood that advanced software and technology can be used to construct an accurate three-dimensional building information model, which should contain the building's geometric information, material properties, component information, etc. Generative AI technologies, such as deep learning models, can be used to build generative AI models.

[0060] It is understandable that a training model is required before building a generative artificial intelligence model. Training a model refers to using a machine learning algorithm to learn and train a known data set to build a model that can predict or classify new data. This application uses construction site design specifications and historical construction site data as training data sets to train a preset generative artificial intelligence model to obtain a trained preset generative artificial intelligence model, and uses preprocessed three-dimensional data and digitized two-dimensional images as test data sets, which are input into the trained preset generative artificial intelligence model to obtain a generative artificial intelligence model.

[0061] Therefore, the step S10 includes: preprocessing the three-dimensional data of the construction site to obtain preprocessed three-dimensional data; converting the two-dimensional drawing into a recognizable format to obtain a digitized two-dimensional map, and constructing a three-dimensional building information model based on the digitized two-dimensional map; training the preset generative artificial intelligence model according to the construction site design specifications and historical construction site data to obtain a trained preset generative artificial intelligence model; inputting the preprocessed three-dimensional data and the digitized two-dimensional map into the trained preset generative artificial intelligence model to obtain a generative artificial intelligence model.

[0062] Step S20, mapping the three-dimensional building information model and the generative artificial intelligence model onto a two-dimensional plane and performing texture mapping to obtain a mapped three-dimensional building information model and a mapped generative artificial intelligence model.

[0063] It should be noted that mapping refers to the process of converting the data of a 3D model into a 2D representation, and texture mapping is a technology that applies texture (such as material, color, pattern, etc.) to the surface of a 3D model to enhance the realism and visual effect of the model.

[0064] Step S30, obtaining a smart construction site model by integrating the mapped three-dimensional building information model and the mapped generative artificial intelligence model.

[0065] It should be understood that the post-mapping three-dimensional building information model and the post-mapping generative artificial intelligence model can be integrated through the digital twin platform.

[0066] For ease of understanding, the following examples are provided for illustration, but are not intended to limit this application. Assume that a project requires the construction of a smart site model for a large construction site. The site contains multiple building units, roads, green areas, and other facilities. The specific steps for creating a smart site model are:

[0067] 1. Data Collection

[0068] Acquire 3D data from the construction site, which usually includes point cloud data, laser scanning data, etc. Collect original 2D drawings in paper or electronic format, such as architectural design drawings, construction drawings, etc.

[0069] 2. Data Preprocessing

[0070] Remove invalid and duplicate data from 3D data, identify noise points, and remove them from point cloud data through filtering algorithms, statistical methods, etc. Convert 2D drawings to DXF format.

[0071] 3. Construction of 3D Building Information Model

[0072] In the 3D modeling software, the 3D building information model of the building unit is constructed based on the converted 2D drawings. This includes structures such as walls, columns, beams, and floor slabs. According to the data of roads, greenery, and other facilities, the corresponding 3D building information model is constructed.

[0073] 4. Texture processing

[0074] Usually, photos and textures are processed using image processing software, and the processed texture maps are applied to the 3D model, ensuring that the maps match the structure and size of the model.

[0075] 5. Generative AI model building

[0076] Collect historical data related to the construction site, such as data on construction progress, cost, quality, etc.; use generative artificial intelligence technologies, such as generative adversarial networks, variational autoencoders, etc., to train the construction site design specifications and historical construction site data. Through training, generate an artificial intelligence model that can simulate the operation of the construction site and predict future status, that is, the preset generative artificial intelligence model after training.

[0077] The three-dimensional data and the two-dimensional drawings in DXF format are input into the trained preset generative artificial intelligence model to obtain the generative artificial intelligence model, and texture mapping is performed on the generative artificial intelligence model so that it can generate buildings or facilities with specific textures and appearances.

[0078] 6. Integration of smart construction site models

[0079] The mapped 3D building information model and the mapped generative artificial intelligence model are integrated to obtain a smart construction site model.

[0080] This embodiment constructs a three-dimensional building information model and a generative artificial intelligence model based on the three-dimensional data and two-dimensional drawings of the construction site, maps the three-dimensional building information model and the generative artificial intelligence model to a two-dimensional plane and performs texture mapping, obtains the mapped three-dimensional building information model and the mapped generative artificial intelligence model, and obtains a smart construction site model by integrating the mapped three-dimensional building information model and the mapped generative artificial intelligence model. Since this application uses the three-dimensional data and two-dimensional drawings of the construction site to construct a three-dimensional building information model and a generative artificial intelligence model, and maps them to a two-dimensional plane for texture mapping, the final integrated model obtains a smart construction site model, realizes the digital mapping of the construction site, and improves the intelligent level of construction site management.

[0081] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 2 , the step S20 may include steps S201 to S204:

[0082] Step S201, mapping the three-dimensional building information model and the generative artificial intelligence model onto a two-dimensional plane to obtain two-dimensional coordinates.

[0083] It can be understood that the process of mapping the three-dimensional building information model and the generative artificial intelligence model onto a two-dimensional plane and obtaining their two-dimensional coordinates is intended to accurately map the information in the three-dimensional space onto the two-dimensional plane for more in-depth analysis, display or application.

[0084] It should be understood that first, it is necessary to clarify the positions and sizes of the various elements in the 3D building information model, such as walls, columns, doors and windows, in the 3D space. Then, using specific algorithms or tools, these 3D elements are projected onto a 2D plane. This projection process needs to take into account multiple factors such as viewing angle, scale, and projection method (such as orthogonal projection, perspective projection, etc.).

[0085] It should be noted that for generative artificial intelligence models, it is necessary to first parse the data structure inside the model, find the key points or surfaces that can represent the model characteristics, and use the same projection method as the three-dimensional building information model to map these key points or surfaces to a two-dimensional plane and obtain their corresponding two-dimensional coordinates.

[0086] Step S202: Based on the three-dimensional building information model and the generative artificial intelligence model, the data in the texture library is processed by image editing software to obtain a texture image.

[0087] It should be noted that processing texture data using image editing software may involve multiple steps, such as adjusting the resolution, color balance, contrast, and brightness of the textures to ensure that they perfectly match the appearance and size of the 3D model. In addition, filters, blending modes, or other image editing techniques may be applied to enhance the realism and details of the textures.

[0088] It should be understood that generative AI models can generate new textures with similar characteristics but not identical to the input texture data, thereby increasing the diversity and richness of the texture library. Through training and optimization, these models can also learn to simulate real-world materials and textures, further improving the fidelity of 3D building information models.

[0089] Step S203: adjusting the texture image based on the two-dimensional coordinates to obtain an adjusted texture image.

[0090] It should be understood that the process of adjusting the texture image based on the two-dimensional coordinates involves accurately mapping the texture image to the three-dimensional model surface to ensure that the texture matches the geometry, size and position of the model surface.

[0091] It is understandable that the texture image is cropped, scaled, rotated, etc. according to the two-dimensional coordinates. Cropping can remove unnecessary parts of the texture image, scaling can adjust the size of the texture image to fit the size of the model surface, and rotation can ensure that the direction of the texture image is consistent with the direction of the model surface.

[0092] Step S204, applying the adjusted texture image to the three-dimensional building information model and the generative artificial intelligence model for texture mapping, and obtaining a mapped three-dimensional building information model and a mapped generative artificial intelligence model.

[0093] It should be understood that the adjusted texture image needs to be aligned with the model first, ensuring that the texture's direction, scale and position match the model's actual structure. Next, the texture image is applied to the model's surface using a professional texture mapping tool or plug-in, a process that may require further adjustments and optimization of the texture to suit different parts and details of the model.

[0094] For example, suppose there is a 3D building information model of a construction site, which contains all the buildings, roads and facilities on the site. At the same time, there is a generative artificial intelligence model that can generate dynamic images or animations of the site based on historical data and real-time information. In order to enhance the realism and visual effects of these two models, texture maps are added to the models. First, a large amount of photo and image data is collected, which covers all aspects of the construction site, including the exterior walls of the buildings, the surface of the roads, the texture of the vegetation, etc. Then, the data is processed and optimized using image processing software to generate a series of high-quality texture maps, which are applied to the 3D building information model and the generative artificial intelligence model.

[0095] This embodiment maps the three-dimensional building information model and the generative artificial intelligence model to a two-dimensional plane, obtains their two-dimensional coordinates, uses image editing software to process the data in the texture library, generates a texture image, accurately adjusts the texture image according to the two-dimensional coordinates to adapt to the model surface, and applies the adjusted texture image to the two models to complete the texture mapping. Through precise two-dimensional coordinate mapping and texture adjustment, problems such as texture dislocation and stretching are effectively avoided, the visual effect and realism of the model are improved, the accuracy and efficiency of the model texture mapping are improved, and the high fit between the texture and the model surface is ensured.

[0096] Based on the first embodiment of the present application, in the third embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 3 , the step S30 may include steps S301 to S303:

[0097] Step S301, importing the mapped three-dimensional building information model and the mapped generative artificial intelligence model into the digital twin platform.

[0098] It can be understood that the process of importing the mapped 3D building information model and the mapped generative AI model into the digital twin platform involves model preparation, platform selection, model import, and subsequent integration and configuration.

[0099] It should be noted that digital twin platforms usually provide a range of functions and tools for creating, managing, analyzing and optimizing digital twins. When selecting a platform, it is necessary to consider the functionality, ease of use, scalability and integration with other systems of the platform to ensure that the selected platform can support the imported model type and provide the required functions and services.

[0100] It should be understood that importing models into a digital twin platform usually involves uploading, parsing, and integrating models. The mapped 3D building information model and the mapped generative AI model need to be uploaded to the digital twin platform in an appropriate format. The platform will parse and process the uploaded model, converting it into a data structure and representation within the platform. The model is then integrated into the digital twin environment, associated and interacted with other elements (such as sensor data, business logic, etc.).

[0101] Step S302, obtaining real-time data of the construction site, and inputting the real-time data into the digital twin platform, and associating it with the mapped three-dimensional building information model and the mapped generative artificial intelligence model.

[0102] It should be noted that various sensors and devices can be deployed on the construction site to capture and record various real-time data on the site in real time. These data may include construction progress, number of workers, equipment status, environmental parameters (such as temperature, humidity, air quality, etc.), and safety conditions.

[0103] It should be understood that on the digital twin platform, the real-time data received will be associated with the already constructed post-mapping 3D building information model and post-mapping generative artificial intelligence model.

[0104] For example, suppose a construction site is building a high-rise building. Through sensors deployed on site, the digital twin platform can obtain data such as the operating status of the tower crane, the work efficiency of workers, and the progress of concrete pouring in real time. After these data are transmitted to the digital twin platform, they are associated with information such as the tower crane position, worker distribution, and construction plan in the three-dimensional building information model. The platform analyzes and predicts these data through a generative artificial intelligence model and finds that the progress of concrete pouring lags behind plan. As a result, the platform automatically adjusts the construction plan, dispatches more workers and equipment to the pouring area, and optimizes the pouring process to ensure that the construction can proceed smoothly as planned.

[0105] Step S303, constructing a smart construction site model by integrating the real-time data, the mapped three-dimensional building information model and the mapped generative artificial intelligence model.

[0106] It can be understood that in the process of building a smart construction site model, real-time data is continuously input into the model, interacting with the post-mapping 3D building information model and the post-mapping generative artificial intelligence model to form a comprehensive management system.

[0107] Furthermore, in order to generate high-quality visualization effects, the step S303 may include: constructing an initial smart construction site model by integrating the real-time data, the mapped three-dimensional building information model and the mapped generative artificial intelligence model; configuring rendering parameters through a rendering engine according to the initial smart construction site model and user needs; adjusting the rendering parameters according to an optimization algorithm to obtain a smart construction site model.

[0108] It should be noted that the rendering engine is a software structure based on computer graphics and visual perception theory. It simulates the interaction of light with the surface of objects in the real world, including diffuse reflection, specular reflection, refraction, etc., and generates realistic and three-dimensional images by accurately calculating the reflection and refraction of light on the surface of objects.

[0109] It is understandable that, according to the initial smart site model and user needs, the rendering parameters are configured through the rendering engine, and the rendering parameters are adjusted using the optimization algorithm. Among them, the optimization algorithm can automatically adjust the rendering parameters according to certain evaluation criteria (such as rendering speed, image quality, etc.) to obtain the best rendering effect.

[0110] This embodiment imports the mapped three-dimensional building information model and the generative artificial intelligence model into the digital twin platform, and obtains real-time data from the construction site. After the real-time data is associated with the model, the initial smart construction site model is constructed by integrating them. According to user needs and optimization algorithms, the rendering engine is configured and the rendering parameters are adjusted to finally obtain a complete smart construction site model, realizing the real-time integration of construction site information and the construction of a smart construction site model, providing comprehensive and accurate data support for construction site management. And by optimizing the rendering parameters, the model is more realistic and intuitive, which helps to improve the efficiency of construction site management and the accuracy of decision-making.

[0111] In the third embodiment, after step S30, the following steps may also be included:

[0112] Obtaining real-time progress data of the construction site;

[0113] Analyze the real-time progress data using the analysis tools of the digital twin platform in combination with artificial intelligence algorithms to obtain analysis results;

[0114] The smart construction site model is optimized and updated according to the analysis results.

[0115] It is understandable that the analytical tools of the digital twin platform can be used to analyze the real-time progress data of the construction site, such as the progress, quality, and safety. Among them, big data and machine learning algorithms can be combined to conduct in-depth analysis of the collected data.

[0116] It should be understood that based on the analysis results, the digital twin model is optimized to improve the accuracy and practicality of the model. For example, the geometry, material properties, or component connection methods of the model can be adjusted. As the construction progresses on the site, the model and data are continuously updated to ensure that the smart site model reflects the latest site status. According to the latest design changes and construction feedback, the smart site model is iteratively updated to adapt to the changing needs of the site project.

[0117] This embodiment uses the analysis tools and artificial intelligence algorithms of the digital twin platform to analyze the real-time progress data of the construction site, thereby optimizing and updating the smart construction site model. It can accurately grasp the progress and quality status of the project and ensure that the model is highly consistent with the actual situation. It not only improves the level of intelligent site management, but also significantly enhances the accuracy and timeliness of decision-making.

[0118] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the implementation method of the smart construction site model of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0119] This application also provides a smart construction site model implementation device, please refer to Figure 4The smart construction site model adjustment device includes:

[0120] The sub-model construction module 10 is used to construct a three-dimensional building information model and a generative artificial intelligence model based on the three-dimensional data and two-dimensional drawings of the construction site;

[0121] The sub-model processing module 20 is used to map the three-dimensional building information model and the generative artificial intelligence model onto a two-dimensional plane and perform texture mapping to obtain a mapped three-dimensional building information model and a mapped generative artificial intelligence model;

[0122] The model integration module 30 is used to obtain a smart construction site model by integrating the mapped three-dimensional building information model and the mapped generative artificial intelligence model.

[0123] The smart construction site model implementation device provided by the present application adopts the smart construction site model implementation method in the above embodiment, which can solve the technical problem that the digital twin technology in the prior art has limitations in the application of construction sites, resulting in low efficiency of construction site management. Compared with the prior art, the beneficial effects of the smart construction site model implementation device provided by the present application are the same as the beneficial effects of the smart construction site model implementation method provided by the above embodiment, and the other technical features in the smart construction site model implementation device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0124] The present application provides a smart construction site model implementation device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the smart construction site model implementation method in the above-mentioned embodiment one.

[0125] Reference below Figure 5 , which shows a schematic diagram of the structure of a smart construction site model implementation device suitable for implementing the embodiment of the present application. The smart construction site model implementation device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions: tablet computers), PMPs (Portable Media Players: portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 5 The smart construction site model implementation device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0126] like Figure 5 As shown, the smart site model implementation device may include a processing device 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. Various programs and data required for the operation of the smart site model implementation device are also stored in RAM1004. The processing device 1001, ROM1002, and RAM1004 are connected to each other via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the smart site model implementation device to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows a smart site model implementation device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have alternatively.

[0127] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0128] The smart construction site model implementation device provided by the present application adopts the smart construction site model implementation method in the above embodiment, which can solve the technical problem that the digital twin technology in the prior art has limitations in the application of construction sites, resulting in low efficiency of construction site management. Compared with the prior art, the beneficial effects of the smart construction site model implementation device provided by the present application are the same as the beneficial effects of the smart construction site model implementation method provided by the above embodiment, and the other technical features in the smart construction site model implementation device are the same as the features disclosed in the previous embodiment method, which will not be repeated here.

[0129] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0130] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0131] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the smart construction site model implementation method in the above-mentioned embodiment.

[0132] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0133] The above-mentioned computer-readable storage medium may be included in the smart construction site model implementation device; or it may exist independently without being assembled into the smart construction site model implementation device.

[0134] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the smart construction site model implementation device, the smart construction site model implementation device: constructs a three-dimensional building information model and a generative artificial intelligence model according to the three-dimensional data and two-dimensional drawings of the construction site, maps the three-dimensional building information model and the generative artificial intelligence model to a two-dimensional plane and performs texture mapping, obtains the mapped three-dimensional building information model and the mapped generative artificial intelligence model, and obtains the smart construction site model by integrating the mapped three-dimensional building information model and the mapped generative artificial intelligence model.

[0135] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0136] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0137] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0138] The readable storage medium provided in this application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned smart construction site model implementation method, and can solve the technical problem that the digital twin technology in the prior art has limitations in the application of construction sites, resulting in low efficiency in construction site management. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the smart construction site model implementation method provided in the above-mentioned embodiment, and will not be repeated here.

[0139] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned smart construction site model implementation method when executed by a processor.

[0140] The computer program product provided by this application can solve the technical problem that the application of digital twin technology in the prior art is limited in construction site, resulting in low efficiency of construction site management. Compared with the prior art, the beneficial effects of the computer program product provided by this application are the same as the beneficial effects of the smart construction site model implementation method provided in the above embodiment, and will not be repeated here.

[0141] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for realizing a smart construction site model, characterized in that: The method comprises the following steps: Build 3D building information models and generative AI models based on 3D data and 2D drawings at the construction site; Mapping the three-dimensional building information model and the generative artificial intelligence model onto a two-dimensional plane and performing texture mapping to obtain a mapped three-dimensional building information model and a mapped generative artificial intelligence model; A smart construction site model is obtained by integrating the mapped three-dimensional building information model and the mapped generative artificial intelligence model.

2. The method for realizing a smart construction site model according to claim 1, characterized in that: The step of mapping the three-dimensional building information model and the generative artificial intelligence model onto a two-dimensional plane and performing texture mapping to obtain the mapped three-dimensional building information model and the mapped generative artificial intelligence model comprises: Mapping the three-dimensional building information model and the generative artificial intelligence model onto a two-dimensional plane to obtain two-dimensional coordinates; Based on the three-dimensional building information model and the generative artificial intelligence model, processing the data in the texture library through image editing software to obtain a texture image; Based on the two-dimensional coordinates, the texture image is adjusted to obtain an adjusted texture image; The adjusted texture image is applied to the three-dimensional building information model and the generative artificial intelligence model for texture mapping to obtain a mapped three-dimensional building information model and a mapped generative artificial intelligence model.

3. The method for realizing a smart construction site model according to claim 1, characterized in that: The step of constructing a three-dimensional building information model and a generative artificial intelligence model based on the three-dimensional data and two-dimensional drawings of the construction site includes: Preprocess the three-dimensional data of the construction site to obtain preprocessed three-dimensional data; Converting the two-dimensional drawing into a recognizable format to obtain a digitized two-dimensional drawing, and constructing a three-dimensional building information model based on the digitized two-dimensional drawing; Training a preset generative artificial intelligence model according to the construction site design specifications and historical construction site data to obtain a trained preset generative artificial intelligence model; The preprocessed three-dimensional data and the digitized two-dimensional image are input into the trained preset generative artificial intelligence model to obtain a generative artificial intelligence model.

4. The method for realizing a smart construction site model according to claim 1, characterized in that: The step of obtaining the intelligent construction site model by integrating the mapped three-dimensional building information model and the mapped generative artificial intelligence model comprises: Importing the mapped three-dimensional building information model and the mapped generative artificial intelligence model into a digital twin platform; Acquire real-time data of the construction site, input the real-time data into the digital twin platform, and associate it with the mapped three-dimensional building information model and the mapped generative artificial intelligence model; A smart construction site model is constructed by integrating the real-time data, the mapped three-dimensional building information model and the mapped generative artificial intelligence model.

5. The method for realizing a smart construction site model according to claim 4, characterized in that: The step of constructing a smart construction site model by integrating the real-time data, the mapped three-dimensional building information model and the mapped generative artificial intelligence model comprises: An initial smart construction site model is constructed by integrating the real-time data, the mapped three-dimensional building information model and the mapped generative artificial intelligence model; According to the initial smart construction site model and user requirements, configuring rendering parameters through a rendering engine; The rendering parameters are adjusted according to the optimization algorithm to obtain a smart construction site model.

6. The method for realizing a smart construction site model according to any one of claims 1 to 5, characterized in that: After the step of obtaining the intelligent construction site model by integrating the mapped three-dimensional building information model and the mapped generative artificial intelligence model, the method further includes: Obtaining real-time progress data of the construction site; Analyze the real-time progress data using the analysis tools of the digital twin platform in combination with artificial intelligence algorithms to obtain analysis results; The smart construction site model is optimized and updated according to the analysis results.

7. A device for realizing a smart construction site model, characterized in that: The smart construction site model implementation device comprises: Sub-model construction module, used to build 3D building information model and generative artificial intelligence model based on 3D data and 2D drawings of the construction site; A sub-model processing module, used to map the three-dimensional building information model and the generative artificial intelligence model onto a two-dimensional plane and perform texture mapping to obtain a mapped three-dimensional building information model and a mapped generative artificial intelligence model; A model integration module is used to obtain a smart construction site model by integrating the mapped three-dimensional building information model and the mapped generative artificial intelligence model.

8. A device for realizing a smart construction site model, characterized in that: The smart construction site model implementation device includes: a memory, a processor, and a smart construction site model implementation program stored in the memory and executable on the processor. When the smart construction site model implementation program is executed by the processor, it implements the smart construction site model implementation method as described in any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium stores a smart construction site model implementation program, and when the smart construction site model implementation program is executed by the processor, the smart construction site model implementation method according to any one of claims 1 to 6 is implemented.

10. A computer program product, characterized in that The computer program product includes a smart construction site model implementation program, and when the smart construction site model implementation program is executed by a processor, it implements the smart construction site model implementation method as described in any one of claims 1 to 6.

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