Construction site management method and device, computer equipment and readable storage medium

Abstract

The invention relates to a construction site management method and device, computer equipment and a readable storage medium. The method comprises the following steps: building a three-dimensional virtual construction site scene model of a to-be-managed construction site according to a preset parameterized three-dimensional model library; fusing the three-dimensional virtual construction site scene model with the multi-source sensing data of the to-be-managed construction site to obtain a construction site twinborn scene model; and mapping the construction site twinning scene model to a construction site data twinning application program so as to perform visual management on the to-be-managed construction site through the construction site data twinning application program. By adopting the method, three-dimensional visual management of the construction site without the BIM model can be realized, the blank of three-dimensional management of the construction site without the BIM model is filled, and the limitation of strong dependence of the traditional technology on a professional model is broken through.

Description

Technical Field

[0001] This application relates to the field of smart construction site technology, and in particular to a construction site management method, apparatus, computer equipment, and readable storage medium. Background Technology

[0002] A smart construction site is a concept that utilizes advanced information technology to improve the informatization management level of construction sites, achieve visualized and intelligent management of engineering construction, and gradually realize green and ecological construction. It achieves informatized supervision of construction sites by collecting, integrating, and applying construction data. The main aspects of a smart construction site include: 1) System integration: Integrating software, hardware, technology, and information into an interconnected and coordinated system to achieve full information sharing and centralized management of resources such as personnel, machinery, materials, methods, and environment at the construction site. 2) Real-time monitoring: Through technologies such as remote video monitoring and geographic information systems, the system provides real-time information on the construction site, enabling scientific management of the entire lifecycle of construction equipment, ensuring construction safety, and improving site operation efficiency. 3) Data mining and analysis: Analyzing and mining construction data through big data mining and analysis techniques to provide data support for decision-making and improve construction efficiency and quality.

[0003] Traditional technologies rely on professional BIM (Building Information Modeling) models to achieve 3D visualization management of construction sites, making it difficult to achieve such management for sites without BIM models. Summary of the Invention

[0004] Therefore, it is necessary to provide a method, device, computer equipment, computer-readable storage medium, and computer program product that can achieve three-dimensional visualization management of construction sites without BIM models, fill the gap in three-dimensional management of construction sites without BIM models, and break through the limitations of traditional technologies that rely heavily on professional models.

[0005] Firstly, this application provides a construction site management method, including:

[0006] A 3D virtual construction site scene model of the construction site to be managed is built based on a pre-set parametric 3D model library.

[0007] By fusing a 3D virtual construction site scene model with multi-source perception data of the construction site to be managed, a construction site twin scene model is obtained.

[0008] Map the construction site twin scenario model to the construction site data twin application to enable visual management of the construction site under management through the construction site data twin application.

[0009] In one embodiment, building a 3D virtual construction site scene model of the construction site to be managed based on a preset parametric 3D model library includes:

[0010] The target 3D model from the preset parametric 3D model library is loaded into the 3D scene of the construction site to be managed, thus obtaining a 3D virtual construction site scene model of the construction site to be managed.

[0011] In one embodiment, the three-dimensional virtual construction site scene model is fused with multi-source perception data of the construction site to be managed to obtain a construction site twin scene model, including:

[0012] The 3D virtual construction site scene model is segmented and parameterized to obtain a parameterized instance model;

[0013] By fusing the parameterized instance model with the multi-source perception data of the construction site to be managed, a construction site twin scene model is obtained.

[0014] In one embodiment, the multi-source sensing data includes video surveillance data, target IoT data, and target terminal data; fusing the parameterized instance model with the multi-source sensing data of the construction site to be managed yields a construction site twin scene model, including:

[0015] The parametric instance model and video surveillance data are stacked in the same physical and virtual locations to obtain the stacked parametric instance model;

[0016] By fusing the stacked parameterized instance model with the target IoT data and the target terminal data, a construction site twin scene model is obtained.

[0017] In one embodiment, the method further includes:

[0018] The parameterized instance model is compared with the video surveillance data to determine the differences between the parameterized instance model and the video surveillance data.

[0019] Based on the difference results, the model parameters of the parameterized instance model are adjusted to obtain the adjusted parameterized instance model;

[0020] Correspondingly, stacking parameterized instance models and video surveillance data at the same physical and virtual locations includes:

[0021] The adjusted parametric instance model and video surveillance data are stacked in the same physical and virtual locations.

[0022] In one embodiment, the multi-source sensing data includes video surveillance data, target IoT data, and target terminal data; the method further includes:

[0023] Acquire raw video data, raw IoT data, and raw terminal data from the construction site to be managed; among which, the raw IoT data includes at least access control data, safety belt data, personnel positioning data, and power and environmental data, and the raw terminal data includes at least construction progress difference data, safety hazard data, construction guidance data, and alarm data; perform usable information stream conversion on the raw video data, raw IoT data, and raw terminal data respectively to obtain video surveillance data, target IoT data, and target terminal data.

[0024] Secondly, this application also provides a construction site management device, comprising:

[0025] The scene building module is used to build a 3D virtual construction site scene model of the construction site to be managed based on a preset parametric 3D model library.

[0026] The data fusion module is used to fuse the 3D virtual construction site scene model with the multi-source perception data of the construction site to be managed, so as to obtain the construction site twin scene model.

[0027] The construction site management module is used to map the construction site twin scenario model to the construction site data twin application, so as to visualize and manage the construction site to be managed through the construction site data twin application.

[0028] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0029] A 3D virtual construction site scene model of the construction site to be managed is built based on a pre-set parametric 3D model library.

[0030] By fusing a 3D virtual construction site scene model with multi-source perception data of the construction site to be managed, a construction site twin scene model is obtained.

[0031] Map the construction site twin scenario model to the construction site data twin application to enable visual management of the construction site under management through the construction site data twin application.

[0032] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0033] A 3D virtual construction site scene model of the construction site to be managed is built based on a pre-set parametric 3D model library.

[0034] By fusing a 3D virtual construction site scene model with multi-source perception data of the construction site to be managed, a construction site twin scene model is obtained.

[0035] Map the construction site twin scenario model to the construction site data twin application to enable visual management of the construction site under management through the construction site data twin application.

[0036] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0037] A 3D virtual construction site scene model of the construction site to be managed is built based on a pre-set parametric 3D model library.

[0038] By fusing a 3D virtual construction site scene model with multi-source perception data of the construction site to be managed, a construction site twin scene model is obtained.

[0039] Map the construction site twin scenario model to the construction site data twin application to enable visual management of the construction site under management through the construction site data twin application.

[0040] The aforementioned construction site management methods, devices, computer equipment, computer-readable storage media, and computer program products can build a 3D virtual construction site scene model of the construction site to be managed based on a preset parametric 3D model library. This model is then fused with multi-source sensory data of the construction site to obtain a construction site twin scene model. This twin scene model is then mapped to a construction site data twin application for visualized management of the construction site. This approach allows for the rapid construction of 3D virtual scenes without relying on professional BIM models or specialized modeling skills, enabling 3D visualized management of construction sites without BIM models. It fills the gap in 3D management of construction sites without BIM models and overcomes the strong dependence on professional models inherent in traditional technologies. This allows for low-cost implementation of smart management for small and medium-sized construction sites or traditional 2D design scenarios, expanding the applicability of smart construction site technology. Attached Figure Description

[0041] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0042] Figure 1 This is a flowchart illustrating a site management method in one embodiment;

[0043] Figure 2 This is a flowchart illustrating the process of fusing a 3D virtual construction site scene model with multi-source perception data of the construction site to be managed, as shown in one embodiment, to obtain a construction site twin scene model.

[0044] Figure 3 This is a flowchart illustrating a site management method in another embodiment;

[0045] Figure 4 This is a structural block diagram of a site management device in one embodiment;

[0046] Figure 5 This is a structural block diagram of a construction site management system in one embodiment;

[0047] Figure 6 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0048] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0049] It should be noted that the terms "comprising" and "having," and any variations thereof, as used in this application, are intended to cover non-exclusive inclusion. The term "multiple" as used in this application refers to two or more. The term "and / or" as used in this application refers to one of the solutions, or any combination of multiple solutions.

[0050] In one exemplary embodiment, such as Figure 1 As shown, a construction site management method is provided. This embodiment illustrates the method by applying it to a server. It is understood that this method can also be applied to a terminal, or to a system including both a terminal and a server, and is implemented through interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0051] Step 102: Build a 3D virtual construction site scene model of the construction site to be managed based on the preset parametric 3D model library.

[0052] Among them, the preset parametric 3D model library refers to a database containing multiple types of parametric 3D models, and a parametric 3D model refers to a 3D model that can be configured parametrically.

[0053] In some implementations, parametric 3D models are selected from a pre-set parametric 3D model library and used to build a 3D virtual construction site scene model of the site to be managed, similar to building blocks. The parametric models can include building models, individual equipment models, and landmark models. Building models include buildings, floors, condensing towers, silos, and bar coal yards. Individual equipment models include boilers, pumps, and gasifiers. Landmark models include streetlights, doors and windows, fences, and signs. The parameters of the parametric models include, but are not limited to, coordinates, length, width, height, color, and scaling.

[0054] Furthermore, users can create their own 3D models by dragging and dropping with the keyboard or mouse. These models can then be used to build a virtual 3D construction site scene model of the site to be managed. Taking the creation of a building wall as an example, the wall can be created using either the mouse or keyboard. While creating a wall with the mouse is quick but inaccurate, creating it with the keyboard offers greater precision. For example, by inputting the wall's starting and ending coordinates, thickness, and height, the system will automatically generate a wall model. Then, by dragging and dropping doors and windows of appropriate sizes from the preset parametric 3D model library onto the wall, the wall will automatically create openings to highlight the doors and windows. Finally, by dragging and dropping slogans, signs, and other decorations of appropriate sizes from the preset parametric 3D model library, a 3D visualized wall model is constructed. Clearly, by continuously building walls and wall tops in this way, a schematic 3D architectural model can be created.

[0055] It also allows importing 3D models created using third-party modeling tools into a preset parametric 3D model library and updating the library. For example, the third-party modeling tool is 3ds Max, and the 3D model format is FBX (Filmbox). By supporting custom modeling and importing third-party models, it can adapt to various scenarios such as buildings, industrial parks, and large-scale infrastructure, solving the problem of poor scene adaptability in traditional systems.

[0056] Step 104: The 3D virtual construction site scene model is fused with the multi-source perception data of the construction site to be managed to obtain a construction site twin scene model.

[0057] In some implementations, multi-source sensing data of the construction site to be managed, collected by a data acquisition device, provides a real-world data source for the 3D virtual scene. Multi-source sensing data includes video surveillance data, target IoT data, and target terminal data. Video surveillance data refers to video footage of the construction site to be managed. Target IoT data refers to data collected by IoT devices. Target terminal data refers to data collected by terminals. The 3D virtual construction site scene model is then fused with the multi-source sensing data of the construction site to be managed, achieving a fusion of the virtual scene and real data to obtain a construction site twin scene model.

[0058] Step 106: Map the construction site twin scene model to the construction site data twin application to enable visual management of the construction site to be managed through the construction site data twin application.

[0059] In some implementations, model objects in the construction site twin scene model are bound to multi-source sensing data. Here, a model object refers to a virtual entity in the construction site twin scene model that possesses identifiable, operable, and bindable attributes and data; that is, a 3D model in a pre-defined parametric 3D model library. The bound model objects are then associated with management services in the construction site data twin application. These management services may include, but are not limited to, progress visualization, intelligent safety system integration, information retrieval, external visitor display, and personnel and vehicle management. The construction site to be managed is then visualized and managed through the construction site data twin application.

[0060] The aforementioned construction site management method can build a 3D virtual construction site scene model of the construction site to be managed based on a preset parametric 3D model library. This 3D virtual construction site scene model is then fused with multi-source sensor data of the construction site to obtain a construction site twin scene model. This twin scene model is then mapped to a construction site data twin application for visualized management of the construction site. This method allows for the rapid construction of 3D virtual scenes without relying on professional BIM models or specialized modeling skills, enabling 3D visualized management of construction sites without BIM models. It fills the gap in 3D management of construction sites without BIM models and overcomes the strong dependence on professional models inherent in traditional technologies. This allows for low-cost implementation of smart management for small and medium-sized construction sites or traditional 2D design scenarios, expanding the applicability of smart construction site technology.

[0061] In an exemplary embodiment, building a three-dimensional virtual construction site scene model of the construction site to be managed based on a preset parametric three-dimensional model library includes: loading the target three-dimensional model in the preset parametric three-dimensional model library into the three-dimensional scene of the construction site to be managed, thereby obtaining a three-dimensional virtual construction site scene model of the construction site to be managed.

[0062] In some implementations, target 3D models from a pre-defined parametric 3D model library are loaded into the 3D scene of the construction site to be managed by dragging and dropping. Multiple target 3D models are then assembled like building blocks to obtain a 3D virtual construction site scene model. Here, the target 3D model refers to the parametric 3D model used to construct the 3D virtual construction site scene model.

[0063] In this embodiment, the target 3D model can be loaded simply by dragging and dropping, eliminating the need for complex modeling operations and significantly reducing the time required to build a 3D virtual construction site scene. Combining multiple target 3D models like building blocks enables the rapid reproduction of different 3D virtual construction site scene models.

[0064] In one exemplary embodiment, such as Figure 2 As shown, the 3D virtual construction site scene model is fused with the multi-source perception data of the construction site to be managed to obtain a construction site twin scene model, including:

[0065] Step 202: Perform parameterized configuration on the 3D virtual construction site scene model to obtain a parameterized instance model.

[0066] Step 204: The parameterized instance model is fused with the multi-source perception data of the construction site to be managed to obtain the construction site twin scene model.

[0067] In some implementations, the 3D virtual construction site scene model is parameterized for segmentation, including but not limited to segmentation method, number of segments, segmentation direction, segmentation ratio of a single segment, and scaling factor of a single segment. The 3D virtual construction site scene model is a parameterizable basic model. Parameterized segmentation configuration allows for targeted splitting of the 3D virtual construction site scene model according to specific rules, such as by construction stage, region, process type, or time node, outputting independently manageable sub-models and providing data assets and segmentation logic for virtual scene construction. Based on the needs of smart construction site progress display and model viewing, and also based on the performance requirements of the 3D engine, the number of segments is limited; for example, the upper limit of the number of segments can be set to 100. After the above parameterized segmentation configuration, the model can undergo subsequent data twin operations, including data mounting, segmentation, highlighting, transparency, color changing, and hidden-face removal. Combined with corresponding data, it can realize functions such as 3D construction progress visualization and visitor display.

[0068] A parameterized instance model is obtained by segmenting the parameterized configuration. This parameterized instance model is then fused with multi-source sensing data from the construction site to be managed, resulting in a construction site twin scene model. The smallest unit of the fused construction site twin scene model is the smallest segmentation unit in the parameterized configuration.

[0069] Traditional technologies for managing 3D models often employ a holistic approach, resulting in coarse-grained control and chaotic data relationships. This application, however, employs an innovative finite segmentation technique for refined control. This technique allows for parametric configuration of the 3D virtual construction site model, dividing the overall model into independently manageable sub-units by specifying the segmentation method, number of parts, and proportions. This enables precise tracking of progress, safety, and resources, resolving the contradiction between "overall model" and "refined management." The finite segmentation technique in this application involves targeted model segmentation according to specific rules, such as by construction stage, region, process type, or time node. This differs from some techniques that only perform simple model division, providing more detailed and precise management units for construction site management. By employing finite segmentation technology, more efficient construction site management is achieved: In terms of construction progress management, the progress of each part can be accurately tracked based on the segmented model units, allowing for timely detection of progress deviations and targeted measures, enabling faster and more effective adjustments to the construction plan compared to traditional technologies; in resource management, materials, equipment, and other resources can be calculated and allocated more accurately based on the resource requirement parameters of each model unit, significantly reducing resource waste; in safety control, high-risk areas of the segmented model can be monitored closely, and combined with intelligent algorithms and IoT devices, safety hazards can be identified and warned of more promptly and accurately. Furthermore, through finite segmentation technology and a multi-source data coupling mechanism, the coordinated management of "model sub-units-data-scenes" is realized, improving the response accuracy of functions such as progress tracking and safety warnings by more than 30% (based on scene test data), greatly enhancing management efficiency.

[0070] In an exemplary embodiment, the multi-source sensing data includes video surveillance data, target IoT data, and target terminal data; fusing the parameterized instance model with the multi-source sensing data of the construction site to be managed to obtain a construction site twin scene model includes: stacking the parameterized instance model and video surveillance data at the same physical and virtual locations to obtain a stacked parameterized instance model; and fusing the stacked parameterized instance model with the target IoT data and target terminal data to obtain a construction site twin scene model.

[0071] Parametric instance models and video surveillance data are stacked and displayed in the same physical and virtual locations to obtain a stacked parametric instance model. This stacked parametric instance model is then fused with target IoT data and target terminal data to obtain a construction site twin scene model. By integrating the parametric instance model with real data sources, the parametric instance model is optimized.

[0072] In an exemplary embodiment, after stacking the parameterized instance model and video surveillance data at the same physical and virtual locations, the method further includes: comparing the parameterized instance model and the video surveillance data to determine the difference between the parameterized instance model and the video surveillance data; adjusting the model parameters of the parameterized instance model according to the difference results to obtain an adjusted parameterized instance model; correspondingly, stacking the parameterized instance model and video surveillance data at the same physical and virtual locations includes: stacking the adjusted parameterized instance model and video surveillance data at the same physical and virtual locations.

[0073] In some implementations, a measurement tool is used to compare the parametric instance model with video surveillance data to determine the differences between the two. This difference is used to characterize the discrepancies between the 3D virtual construction site simulation and the real construction site environment. Based on the difference results, the model parameters of the parametric instance model are adjusted to make the simulation of the 3D virtual construction site more accurate. Then, the adjusted parametric instance model and video surveillance data are stacked at the same physical and virtual locations before subsequent multi-source data fusion.

[0074] Furthermore, the difference results can be fed back to a preset parametric 3D model library, allowing for flexible adjustments to the 3D models within the library.

[0075] In this application embodiment, the innovation involves a dynamic calibration mechanism that integrates virtual and real elements: addressing the difficulty in correcting simulation deviations between virtual scenes and real construction sites in traditional technologies, this mechanism stacks and compares a parameterized instance model of the virtual scene with real-time video monitoring data, combines the feedback of difference results from measurement tools with dynamic model optimization, ensures consistency between the virtual scene and the real environment, and improves the accuracy of the simulation.

[0076] This also improves the reliability of digital twins. In addition, the preset parametric 3D model library in this application embodiment has higher flexibility and customizability. It can quickly generate 3D models that meet the requirements by adjusting parameters according to the specific needs of different construction sites, rather than using relatively fixed model templates.

[0077] In an exemplary embodiment, the multi-source sensing data includes video surveillance data, target IoT data, and target terminal data. Before building a 3D virtual construction site scene model of the construction site to be managed based on a preset parametric 3D model library, the method further includes: acquiring the original video data, original IoT data, and original terminal data of the construction site to be managed; wherein, the original IoT data includes at least access control data, safety belt data, personnel positioning data, and power environment data, and the original terminal data includes at least construction progress difference data, safety hazard data, construction guidance data, and alarm data; and performing usable information stream conversion on the original video data, original IoT data, and original terminal data respectively to obtain video surveillance data, target IoT data, and target terminal data.

[0078] In some implementations, video capture devices collect raw video data from the construction site under management and send it to a server. IoT devices collect raw IoT data from the construction site under management and send it to a server. This raw IoT data includes at least access control data, safety belt data, personnel location data, and power and environmental data. Terminal devices collect raw terminal data from the construction site under management and send it to a server. This raw terminal data includes at least construction progress difference data, safety hazard data, construction guidance data, and alarm data. This enables multi-source data collection from personnel, machinery, materials, methods, and environment aspects of the smart construction site.

[0079] The server acquires raw video data, raw IoT data, and raw terminal data from the construction site to be managed. It then performs usable information stream conversion on the raw video data, raw IoT data, and raw terminal data to obtain video surveillance data, target IoT data, and target terminal data.

[0080] In this embodiment, the original video data, original IoT data, and original terminal data of the construction site to be managed are obtained, and the original video data, original IoT data, and original terminal data are respectively converted into usable information streams. This can eliminate the data silo problem between different devices, facilitate subsequent unified analysis, visualization, and model-driven approaches, and also improve the accuracy and reliability of the data.

[0081] In another exemplary embodiment, such as Figure 3 As shown, a construction site management method is provided, which includes the following steps:

[0082] Step 302: Load the target 3D model from the preset parametric 3D model library into the 3D scene of the construction site to be managed, and obtain the 3D virtual construction site scene model of the construction site to be managed.

[0083] Step 304: Perform parameterized configuration on the 3D virtual construction site scene model to obtain a parameterized instance model.

[0084] Step 306: Stack the parameterized instance model and video surveillance data in the same physical and virtual locations; compare the parameterized instance model and video surveillance data to determine the differences between them; adjust the model parameters of the parameterized instance model according to the differences to obtain the adjusted parameterized instance model.

[0085] Step 308: Stack the adjusted parametric instance model and video surveillance data at the same physical and virtual locations to obtain the stacked parametric instance model.

[0086] Step 310: The stacked parameterized instance model is fused with the target IoT data and the target terminal data to obtain the construction site twin scene model.

[0087] Step 312: Map the construction site twin scene model to the construction site data twin application to enable visual management of the construction site to be managed through the construction site data twin application.

[0088] In this embodiment, a 3D virtual construction site scene model of the construction site to be managed is built based on a preset parametric 3D model library. This 3D virtual construction site scene model is then fused with multi-source sensor data of the construction site to obtain a construction site twin scene model. This twin scene model is then mapped to a construction site data twin application for visualized management of the construction site. This method allows for the rapid construction of a 3D virtual scene without relying on a professional BIM model or requiring specialized modeling skills. It enables 3D visualized management of construction sites without BIM models, filling the gap in 3D management of BIM-less construction sites and overcoming the strong dependence on professional models inherent in traditional technologies. This allows for low-cost implementation of smart management for small and medium-sized construction sites or traditional 2D design scenarios, expanding the applicability of smart construction site technology.

[0089] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0090] Based on the same inventive concept, this application also provides a site management device for implementing the site management method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations of the one or more site management device embodiments provided below can be found in the limitations of the site management method described above, and will not be repeated here.

[0091] In one exemplary embodiment, such as Figure 4 As shown, a construction site management device is provided, including: a scene building module 402, a data fusion module 404, and a construction site management module 406, wherein:

[0092] Scene building module 402 is used to build a 3D virtual construction site scene model of the construction site to be managed based on a preset parametric 3D model library.

[0093] The data fusion module 404 is used to fuse the 3D virtual construction site scene model with the multi-source perception data of the construction site to be managed to obtain a construction site twin scene model.

[0094] The construction site management module 406 is used to map the construction site twin scene model to the construction site data twin application, so as to perform visual management of the construction site to be managed through the construction site data twin application.

[0095] In an exemplary embodiment, the scene building module 402 is used to load the target 3D model from the preset parametric 3D model library into the 3D scene of the construction site to be managed, thereby obtaining a 3D virtual construction site scene model of the construction site to be managed.

[0096] In an exemplary embodiment, the data fusion module 404 is used to perform segmentation parameterization configuration on the three-dimensional virtual construction site scene model to obtain a parameterized instance model; and to fuse the parameterized instance model with the multi-source perception data of the construction site to be managed to obtain a construction site twin scene model.

[0097] In one exemplary embodiment, the multi-source sensing data includes video surveillance data, target IoT data, and target terminal data;

[0098] The data fusion module 404 is used to stack the parameterized instance model and video surveillance data at the same physical and virtual locations to obtain the stacked parameterized instance model; and to fuse the stacked parameterized instance model with the target IoT data and the target terminal data to obtain the construction site twin scene model.

[0099] In an exemplary embodiment, the data fusion module 404 is used to compare the parameterized instance model with the video surveillance data to determine the difference between the parameterized instance model and the video surveillance data; adjust the model parameters of the parameterized instance model according to the difference results to obtain the adjusted parameterized instance model; and stack the adjusted parameterized instance model and the video surveillance data in the same physical and virtual locations.

[0100] In one exemplary embodiment, the multi-source sensing data includes video surveillance data, target IoT data, and target terminal data; the above-mentioned apparatus further includes:

[0101] The data acquisition module is used to acquire raw video data, raw IoT data, and raw terminal data from the construction site to be managed. The raw IoT data includes at least access control data, safety belt data, personnel positioning data, and power and environmental data, while the raw terminal data includes at least construction progress difference data, safety hazard data, construction guidance data, and alarm data. The raw video data, raw IoT data, and raw terminal data are respectively converted into usable information streams to obtain video surveillance data, target IoT data, and target terminal data.

[0102] Each module in the aforementioned construction site management device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of the computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0103] Based on the same inventive concept, this application also provides a construction site management system for implementing the construction site management method described above. The solution provided by this system is similar to the solution described in the above method; therefore, the specific limitations of one or more embodiments of the construction site management system provided below can be found in the limitations of the construction site management method described above, and will not be repeated here.

[0104] In one exemplary embodiment, a construction site management system is provided, such as Figure 5As shown, the system includes a 3D preset module, a data acquisition module, and a digital twin module. The 3D preset module includes a parametric preset 3D model library unit and a 3D model finite segmentation unit. The former provides a configurable basic model, while the latter splits the model according to rules, outputting independently manageable sub-models, providing digital assets and segmentation logic for virtual scene construction. The data acquisition module includes a video surveillance acquisition unit, a video surveillance service unit, an IoT acquisition unit, an IoT data service unit, a mobile acquisition and feedback unit, and a mobile data service unit, used to transmit real-world construction site video, IoT, and terminal data to the digital twin module, providing a real-world data source for the virtual scene. The digital twin module includes a model segmentation and video stacking unit, a smart construction site scene twin unit, and a smart construction site digital twin application unit. The model segmentation and video stacking unit achieves the fusion and comparison of the virtual scene and real video; the smart construction site scene twin unit completes the coupling of the model with multi-source data; and finally, through the smart construction site digital twin application unit, intelligent functions such as progress management and safety warnings are implemented, creating a closed loop of "data acquisition - 3D construction - scene application".

[0105] Through data interaction, each module supports the entire process from data collection at the real construction site to the construction and optimization of virtual scenes, and finally to the implementation of management applications, reflecting the system's design logic of "virtual-real integration and refined control".

[0106] In one exemplary embodiment,

[0107] The parametric preset 3D model library unit is used to build a 3D virtual construction site scene model of the construction site to be managed based on the preset parametric 3D model library.

[0108] The digital twin module is used to fuse a 3D virtual construction site scene model with multi-source perception data of the construction site to be managed to obtain a construction site twin scene model; the construction site twin scene model is then mapped to a construction site data twin application to enable visual management of the construction site to be managed through the construction site data twin application.

[0109] In an exemplary embodiment, a parameterized preset 3D model library unit is used to load the target 3D model in the preset parameterized 3D model library into the 3D scene of the construction site to be managed, thereby obtaining a 3D virtual construction site scene model of the construction site to be managed.

[0110] In an exemplary embodiment, a finite cutting unit for a 3D model is used to perform cutting parameterization configuration on a 3D virtual construction site scene model to obtain a parameterized instance model.

[0111] The digital twin module is used to fuse parameterized instance models with multi-source perception data of the construction site to be managed, so as to obtain a construction site twin scene model.

[0112] In one exemplary embodiment, the multi-source sensing data includes video surveillance data, target IoT data, and target terminal data;

[0113] The model cutting and video stacking unit is used to stack parametric instance models and video surveillance data in the same physical and virtual locations to obtain stacked parametric instance models.

[0114] The smart construction site scenario twin unit is used to fuse the stacked parameterized instance model with the target IoT data and the target terminal data to obtain the construction site twin scenario model.

[0115] In an exemplary embodiment, the cutting model and video stacking unit is used to compare the parameterized instance model with the video surveillance data, determine the difference between the parameterized instance model and the video surveillance data, and feed the difference result back to the 3D model finite cutting unit.

[0116] The 3D model finite segmentation element is used to adjust the model parameters of the parametric instance model based on the difference results, so as to obtain the adjusted parametric instance model.

[0117] The model cutting and video stacking unit is used to stack the adjusted parametric instance model and video surveillance data in the same physical and virtual locations.

[0118] In one exemplary embodiment, the multi-source sensing data includes video surveillance data, target IoT data, and target terminal data;

[0119] The video surveillance acquisition unit, the Internet of Things (IoT) acquisition unit, and the terminal acquisition and feedback unit acquire raw video data, raw IoT data, and raw terminal data of the construction site to be managed, respectively. Among them, the raw IoT data includes at least access control data, safety belt data, personnel positioning data, and power environment data, and the raw terminal data includes at least construction progress difference data, safety hazard data, construction guidance data, and alarm data.

[0120] The video surveillance service unit, the IoT data service unit, and the mobile terminal data service unit are respectively used to convert the raw video data, raw IoT data, and raw terminal data into usable information streams to obtain video surveillance data, target IoT data, and target terminal data.

[0121] In one exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 6As shown, this computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operating system and computer programs stored in the non-volatile storage media. The database stores data such as a pre-defined parametric 3D model library, a 3D virtual construction site scene model, and a construction site twin scene model. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a construction site management method.

[0122] Those skilled in the art will understand that Figure 6 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0123] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0124] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps in the above method embodiments.

[0125] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0126] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0127] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0128] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0129] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A construction site management method, characterized in that, The method includes: A 3D virtual construction site scene model of the construction site to be managed is built based on a pre-set parametric 3D model library. The three-dimensional virtual construction site scene model is fused with the multi-source perception data of the construction site to be managed to obtain a construction site twin scene model; The construction site twin scene model is mapped to the construction site data twin application so that the construction site to be managed can be visualized and managed through the construction site data twin application.

2. The method according to claim 1, characterized in that, The process of building a 3D virtual construction site scene model of the construction site to be managed based on a preset parametric 3D model library includes: The target 3D model from the preset parametric 3D model library is loaded into the 3D scene of the construction site to be managed, thereby obtaining the 3D virtual construction site scene model of the construction site to be managed.

3. The method according to claim 1, characterized in that, The step of fusing the three-dimensional virtual construction site scene model with the multi-source perception data of the construction site to be managed to obtain a construction site twin scene model includes: The three-dimensional virtual construction site scene model is segmented and parameterized to obtain a parameterized instance model; The parameterized instance model is fused with the multi-source perception data of the construction site to be managed to obtain a construction site twin scene model.

4. The method according to claim 3, characterized in that, The multi-source sensing data includes video surveillance data, target IoT data, and target terminal data; the process of fusing the parameterized instance model with the multi-source sensing data of the construction site to obtain a construction site twin scene model includes: The parameterized instance model and the video surveillance data are stacked in the same physical and virtual locations to obtain the stacked parameterized instance model; The stacked parameterized instance model is fused with the target IoT data and the target terminal data to obtain a construction site twin scene model.

5. The method according to claim 4, characterized in that, The method further includes: The parameterized instance model is compared with the video surveillance data to determine the differences between the parameterized instance model and the video surveillance data; Based on the difference results, the model parameters of the parameterized instance model are adjusted to obtain the adjusted parameterized instance model; Correspondingly, the stacking process of the parameterized instance model and the video surveillance data at the same physical and virtual locations includes: The adjusted parameterized instance model and the video surveillance data are stacked in the same physical and virtual locations.

6. The method according to any one of claims 1 to 5, characterized in that, The multi-source sensing data includes video surveillance data, target IoT data, and target terminal data; the method further includes: Acquire raw video data, raw IoT data, and raw terminal data of the construction site to be managed; wherein, the raw IoT data includes at least access control data, safety belt data, personnel positioning data, and power environment data, and the raw terminal data includes at least construction progress difference data, safety hazard data, construction guidance data, and alarm data; The original video data, the original IoT data, and the original terminal data are respectively converted into usable information streams to obtain the video surveillance data, the target IoT data, and the target terminal data.

7. A construction site management device, characterized in that, The device includes: The scene building module is used to build a 3D virtual construction site scene model of the construction site to be managed based on a preset parametric 3D model library. The data fusion module is used to fuse the three-dimensional virtual construction site scene model with the multi-source perception data of the construction site to be managed to obtain a construction site twin scene model. The construction site management module is used to map the construction site twin scene model to the construction site data twin application, so as to perform visual management of the construction site to be managed through the construction site data twin application.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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