Monitoring camera virtual arrangement method and system based on BIM technology

Abstract

The invention relates to the technical field of building data processing and virtual arrangement, in particular to a monitoring camera virtual arrangement method and system based on a BIM technology. The method comprises the following steps: acquiring a BIM data set; performing data preprocessing on the BIM data set to obtain a standard BIM data set; building three-dimensional structure information of the standard BIM data set is extracted, and building three-dimensional structure data is obtained; and performing spatial layout analysis on the three-dimensional structure data of the building to obtain spatial layout data, and performing spatial mapping on the three-dimensional structure data of the building according to the spatial layout data to generate a three-dimensional space map of the building. Therefore, through the Internet of Things technology, the data mapping technology, the virtual arrangement technology and the visualization technology, dynamic influence analysis is carried out on the environment characteristics and the scene state of the building so as to cope with the complex and changeable environment conditions of the building; and different scene requirements are met.

Description

Technical Field

[0001] The present invention relates to the technical field of building data processing and virtual layout, and in particular to a monitoring camera virtual layout method and system based on BIM technology. Background Art

[0002] With the rapid development of building information modeling (BIM) technology, the construction industry has gradually transformed from two-dimensional drawings to three-dimensional digital models, which provides a new opportunity for the optimization of intelligent building management and monitoring systems. Traditional surveillance camera layout methods mainly rely on manual design and on-site debugging, which often have problems such as low efficiency, coverage blind spots, and inability to fully consider complex spatial layouts. In recent years, with the widespread application of BIM technology in building design, construction and management, combining it with the virtual layout of surveillance cameras has gradually become a trend. This method simulates the layout of surveillance cameras in a three-dimensional virtual environment, which not only improves the design efficiency, but also optimizes the coverage and viewing angle configuration of the camera, reduces the workload of on-site adjustment, and thus greatly improves the overall efficiency of the intelligent monitoring system. However, when performing virtual layout of surveillance cameras, existing methods often ignore the dynamic influence of environmental characteristics and scene states, resulting in the inability of camera layout to fully adapt to the complex and changing environmental conditions of the building and to meet the needs of different scenes. Summary of the invention

[0003] Based on this, it is necessary to provide a virtual layout method and system for surveillance cameras based on BIM technology to solve at least one of the above technical problems.

[0004] To achieve the above purpose, a virtual arrangement method of surveillance cameras based on BIM technology includes the following steps:

[0005] Step S1: Acquire a BIM data set; perform data preprocessing on the BIM data set to obtain a standard BIM data set;

[0006] Step S2: extracting the three-dimensional structural information of the building from the standard BIM data set to obtain the three-dimensional structural data of the building; performing spatial layout analysis on the three-dimensional structural data of the building to obtain spatial layout data, and performing spatial mapping on the three-dimensional structural data of the building according to the spatial layout data to generate a three-dimensional spatial map of the building;

[0007] Step S3: performing component spatial positioning on the three-dimensional spatial diagram of the building to obtain component spatial positioning data; performing physical attribute annotation on the three-dimensional spatial diagram of the building according to the component spatial positioning data to obtain physical attribute annotation data;

[0008] Step S4: performing physical attribute correlation analysis on the three-dimensional structure data of the building according to the physical attribute annotation data to obtain physical attribute data; performing environmental feature perception on the physical attribute data to obtain environmental feature data; performing environmental data mapping on the three-dimensional space diagram of the building according to the environmental feature data to generate building environmental data; performing dynamic environmental impact registration on the three-dimensional space diagram of the building through the building environmental data to obtain building environmental impact data;

[0009] Step S5: extracting multi-scene features of the standard BIM data set to obtain multi-scene feature data; performing specific scene type recognition on the three-dimensional space diagram of the building according to the multi-scene feature data to obtain building specific scene data; performing state analysis on the spatial layout data according to the building specific scene data to obtain specific scene state data;

[0010] Step S6: constructing a camera intelligent virtual layout model for the three-dimensional space map of the building according to the building environmental impact data, the building specific scene data and the specific scene spatial state data to obtain the camera intelligent virtual layout model; performing camera intelligent virtual layout on the building environmental impact data through the camera intelligent virtual layout model to generate building environmental impact layout data; performing camera dynamic virtual layout on the specific scene spatial state data through the camera intelligent virtual layout model to generate building specific scene layout data;

[0011] Step S7: construct a visualization platform for the building environmental impact control data and the building emergency scene control data to obtain a virtual layout visualization platform to perform virtual layout operations for surveillance cameras.

[0012] The present invention obtains a standard BIM data set by acquiring a BIM data set and performing data preprocessing to ensure data consistency and standardization in subsequent processing processes; the generation of a standard BIM data set lays a foundation for the accurate extraction and processing of three-dimensional structural information of a building. The three-dimensional structural information of the building is extracted from the standard BIM data set to form three-dimensional structural data. The three-dimensional structural data is subjected to spatial layout analysis to obtain spatial layout data; and the spatial layout data is used for spatial mapping to generate a three-dimensional spatial map of the building to accurately reflect the internal spatial layout of the building. Further, the three-dimensional spatial map of the building is subjected to component spatial positioning to obtain component spatial positioning data, thereby realizing accurate positioning of each component of the building in the three-dimensional spatial map of the building. The three-dimensional spatial map of the building is subjected to physical attribute annotation according to the component spatial positioning data to form physical attribute annotation data, which not only displays the spatial position of the component but also includes physical attribute information. The physical attribute annotation data is used for physical attribute association analysis to form physical attribute data to ensure the association and consistency between the physical attributes of the components. Environmental feature perception technology is applied to obtain environmental feature data, and environmental data mapping is performed on the environmental feature data to generate building environmental data, so that the three-dimensional spatial map can reflect the physical characteristics in the actual environment. Building environmental data is used for dynamic environmental impact registration to form building environmental impact data and ensure the dynamic response of buildings under different environmental conditions. By extracting multi-scene features of BIM data sets, multi-scene feature data is formed to provide a basis for diversified scene analysis. Specific scene types are identified on three-dimensional space graphs to form specific scene data to achieve accurate identification and distinction of different scene types. Specific scene data is used to perform state analysis on spatial layout data to form specific scene state data to ensure the accuracy of scene state information under different layouts, providing an important reference for the dynamic virtual layout of cameras. Based on environmental impact data, specific scene data and spatial state data, a camera intelligent virtual layout model is constructed to achieve intelligent and targeted camera layout. The model is used to perform intelligent virtual layout of environmental impact data and specific scene spatial state data, generate corresponding layout data, and achieve optimal layout and dynamic adjustment of cameras in different environments and scenes. Finally, a virtual layout visualization platform is constructed to intuitively present and optimize camera layout results, thereby improving monitoring efficiency and responsiveness. Therefore, the present invention realizes dynamic impact analysis of building environmental characteristics and scene states through Internet of Things technology, data mapping technology, virtual layout technology and visualization technology to cope with complex and changeable environmental conditions of buildings; and to meet different scene requirements.

[0013] Preferably, step S2 comprises the following steps:

[0014] Step S21: performing building feature recognition on the standard BIM data set to obtain building feature data; performing building structure information extraction on the standard BIM data set according to the building feature data to obtain building structure data;

[0015] Step S22: performing geometric feature recognition on the building structure data to obtain building geometric feature data; performing three-dimensional data mapping on the building structure data according to the building geometric feature data to obtain building three-dimensional structure data;

[0016] Step S23: performing spatial usage analysis on the three-dimensional structure data of the building based on the building geometric feature data to obtain the spatial usage data of the building; dividing the spatial usage data of the building into functional units to generate spatial functional unit data;

[0017] Step S24: performing physical distance measurement on the spatial functional unit data to obtain spatial unit distance data; performing spatial layout logic analysis on the three-dimensional structure data of the building according to the spatial unit distance data to generate spatial layout logic data;

[0018] Step S25: performing spatial collaborative layout recognition on the three-dimensional structure data of the building according to the spatial layout logic data to obtain spatial collaborative layout data; performing spatial layout analysis on the three-dimensional structure data of the building according to the spatial collaborative layout to obtain spatial layout data;

[0019] Step S26: Perform spatial relationship assessment on the spatial layout data to obtain spatial relationship data; perform spatial mapping on the three-dimensional structure data of the building according to the spatial relationship data to generate a three-dimensional spatial map of the building.

[0020] The present invention uses a standard BIM data set to identify building features and obtain building feature data, thereby ensuring comprehensive and accurate identification of building features and providing a basis for extracting building structural information; extracting building structural information from the standard BIM data set according to the building feature data to obtain building structural data, thereby providing key data support for further analysis of building geometric features. Geometric feature identification is performed on building structural data to obtain building geometric feature data, thereby ensuring the accuracy of geometric feature identification; three-dimensional data mapping is performed on building structural data according to the building geometric feature data to obtain building three-dimensional structural data, thereby achieving accurate reflection of building geometric features in three-dimensional space. Spatial use analysis is performed on building three-dimensional structural data based on building geometric feature data to obtain building spatial use data, thereby ensuring the pertinence and effectiveness of spatial use analysis; functional unit division is performed on building spatial use data to generate spatial functional unit data, thereby clarifying the spatial position and use of each functional unit inside the building. Physical distance measurement is performed on spatial functional unit data to obtain spatial unit distance data, thereby ensuring accurate measurement of the physical distance between each functional unit inside the building; spatial layout logic analysis is performed on building three-dimensional structural data according to spatial unit distance data to generate spatial layout logic data, thereby providing reliable logic analysis for spatial collaborative layout recognition. According to the spatial layout logic data, the spatial collaborative layout of the three-dimensional structural data of the building is identified to obtain the spatial collaborative layout data, which ensures the rationality and coordination of the spatial layout; according to the spatial collaborative layout, the spatial layout of the three-dimensional structural data of the building is analyzed to obtain the spatial layout data, which further optimizes the space utilization efficiency and functional layout rationality of the interior of the building. The spatial relationship of the spatial layout data is evaluated to obtain the spatial relationship data, which ensures the accurate evaluation of the internal spatial relationship of the building. According to the spatial relationship data, the three-dimensional structural data of the building is spatially mapped to generate the three-dimensional spatial diagram of the building, which realizes the intuitive presentation of the internal spatial relationship of the building in the three-dimensional space, and provides a comprehensive reference basis for building design, planning and management.

[0021] In this specification, a surveillance camera virtual layout system based on BIM technology is also provided, which is used to execute the above-mentioned surveillance camera virtual layout method based on BIM technology. The surveillance camera virtual layout system based on BIM technology includes:

[0022] A BIM data acquisition module is used to acquire a BIM data set; perform data preprocessing on the BIM data set to obtain a standard BIM data set;

[0023] The building three-dimensional spatial map module is used to extract the building three-dimensional structural information from the standard BIM data set to obtain the building three-dimensional structural data; perform spatial layout analysis on the building three-dimensional structural data to obtain spatial layout data, perform spatial mapping on the building three-dimensional structural data according to the spatial layout data, and generate the building three-dimensional spatial map;

[0024] The physical attribute annotation module is used to perform component spatial positioning on the three-dimensional spatial diagram of the building to obtain component spatial positioning data; perform physical attribute annotation on the three-dimensional spatial diagram of the building according to the component spatial positioning data to obtain physical attribute annotation data;

[0025] The building environmental impact module is used to perform physical attribute correlation analysis on the building's three-dimensional structure data according to the physical attribute annotation data to obtain physical attribute data; perform environmental feature perception on the physical attribute data to obtain environmental feature data; perform environmental data mapping on the building's three-dimensional space diagram according to the environmental feature data to generate building environmental data; perform dynamic environmental impact registration on the building's three-dimensional space diagram through the building environmental data to obtain building environmental impact data;

[0026] The specific scene state module is used to extract the multi-scene features of the standard BIM data set to obtain multi-scene feature data; identify the specific scene type of the building's three-dimensional space map based on the multi-scene feature data to obtain the building's specific scene data; perform state analysis on the spatial layout data based on the building's specific scene data to obtain specific scene state data;

[0027] The camera intelligent virtual layout model module is used to construct a camera intelligent virtual layout model for the three-dimensional space map of the building according to the building environmental impact data, the building specific scene data and the specific scene spatial state data, so as to obtain the camera intelligent virtual layout model; perform camera intelligent virtual layout on the building environmental impact data through the camera intelligent virtual layout model to generate building environmental impact layout data; perform camera dynamic virtual layout on the specific scene spatial state data through the camera intelligent virtual layout model to generate building specific scene layout data;

[0028] The virtual layout visualization platform module is used to construct a visualization platform for the building environment impact layout data and the building emergency scene layout data, and obtain a virtual layout visualization platform to perform virtual layout operations for surveillance cameras.

[0029] The present invention acquires and preprocesses a BIM data set through a BIM data acquisition module, generates a standard BIM data set, and ensures consistency and standardized operation in the subsequent data processing process. The generation of a standard BIM data set lays a solid foundation for accurately extracting and processing three-dimensional structural information of a building. By extracting the three-dimensional structural information of a building from the standard BIM data set, the three-dimensional structural data of the building is obtained, and the accuracy of the spatial layout analysis is ensured. The three-dimensional structural data of the building is subjected to spatial layout analysis, spatial layout data is generated, and the three-dimensional structure of the building is spatially mapped based on these data, thereby generating a three-dimensional spatial diagram of the building, realizing the accurate reflection of the internal spatial layout of the building, and providing a reliable basis for the subsequent component spatial positioning and physical property labeling. The three-dimensional spatial diagram of the building is spatially positioned by the component through the three-dimensional spatial diagram module of the building, and component spatial positioning data is generated, thereby ensuring the accurate positioning of each component of the building in the three-dimensional space. The physical property labeling module performs physical property labeling on the three-dimensional spatial diagram of the building based on the component spatial positioning data, and generates physical property labeling data, so that the three-dimensional spatial diagram of the building not only reflects the spatial position of the component, but also contains physical property information. According to the physical attribute annotation data, the physical attribute correlation analysis of the three-dimensional structure data of the building is performed to generate physical attribute data, ensuring the correlation and consistency between the physical attributes of each component. The environmental characteristics of the physical attribute data are perceived through the building environmental impact module to obtain environmental feature data, and the environmental data is mapped to the three-dimensional space diagram of the building using this data to generate building environmental data, so that the three-dimensional space diagram of the building can reflect the physical characteristics in the actual environment. Finally, the three-dimensional space diagram of the building is dynamically registered for environmental impact based on the building environmental data to generate building environmental impact data, ensuring the dynamic response of the building under different environmental conditions. The multi-scene features in the standard BIM data set are extracted through the specific scene state module to generate multi-scene feature data, laying the foundation for the diversified scene analysis of the building. According to the multi-scene feature data, the three-dimensional space diagram of the building is identified for specific scene types to generate building specific scene data, realizing the accurate identification and distinction of different scene types. Based on the building specific scene data, the spatial layout data is analyzed for state to generate specific scene state data, ensuring the accuracy of the state information of the specific scene under different layouts, providing an important basis for the dynamic virtual layout of the camera. The camera intelligent virtual layout model module constructs the camera intelligent virtual layout model for the building's three-dimensional space map based on the building's environmental impact data, building-specific scene data, and specific scene spatial status data, and generates the camera intelligent virtual layout model, ensuring the intelligence and pertinence of the camera layout. Through the camera intelligent virtual layout model, the camera intelligent virtual layout is performed on the building's environmental impact data, and the building's environmental impact layout data is generated, realizing the optimal layout of the camera under different environmental influences.Through the camera intelligent virtual layout model, the camera is dynamically virtually arranged for the specific scene space state data, and the building specific scene layout data is generated, ensuring the dynamic adjustment and optimization of the camera under different scene states. Through the virtual layout visualization platform module, a visualization platform is constructed based on the building environmental impact control data and the building emergency scene control data, and a virtual layout visualization platform is generated to perform the virtual layout operation of the monitoring camera, so as to realize the intuitive presentation and operation optimization of the camera layout results, and improve the monitoring efficiency and responsiveness. Therefore, the present invention realizes dynamic impact analysis of building environmental characteristics and scene states through Internet of Things technology, data mapping technology, virtual layout technology and visualization technology to cope with the complex and changeable environmental conditions of the building; and meet different scene requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 A schematic diagram of the steps of a virtual arrangement method of surveillance cameras based on BIM technology;

[0031] Figure 2 for Figure 1 Detailed implementation steps of step S6 in the flowchart;

[0032] Figure 3 for Figure 2 Detailed implementation steps of step S63;

[0033] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0034] The technical method of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0035] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0036] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0037] To achieve this, please refer to Figures 1 to 3 A virtual arrangement method of surveillance cameras based on BIM technology, the method comprising the following steps:

[0038] Step S1: Acquire a BIM data set; perform data preprocessing on the BIM data set to obtain a standard BIM data set;

[0039] Step S2: extracting the three-dimensional structural information of the building from the standard BIM data set to obtain the three-dimensional structural data of the building; performing spatial layout analysis on the three-dimensional structural data of the building to obtain spatial layout data, and performing spatial mapping on the three-dimensional structural data of the building according to the spatial layout data to generate a three-dimensional spatial map of the building;

[0040] Step S3: performing component spatial positioning on the three-dimensional spatial diagram of the building to obtain component spatial positioning data; performing physical attribute annotation on the three-dimensional spatial diagram of the building according to the component spatial positioning data to obtain physical attribute annotation data;

[0041] Step S4: performing physical attribute correlation analysis on the three-dimensional structure data of the building according to the physical attribute annotation data to obtain physical attribute data; performing environmental feature perception on the physical attribute data to obtain environmental feature data; performing environmental data mapping on the three-dimensional space diagram of the building according to the environmental feature data to generate building environmental data; performing dynamic environmental impact registration on the three-dimensional space diagram of the building through the building environmental data to obtain building environmental impact data;

[0042] Step S5: extracting multi-scene features of the standard BIM data set to obtain multi-scene feature data; performing specific scene type recognition on the three-dimensional space diagram of the building according to the multi-scene feature data to obtain building specific scene data; performing state analysis on the spatial layout data according to the building specific scene data to obtain specific scene state data;

[0043] Step S6: constructing a camera intelligent virtual layout model for the three-dimensional space map of the building according to the building environmental impact data, the building specific scene data and the specific scene spatial state data to obtain the camera intelligent virtual layout model; performing camera intelligent virtual layout on the building environmental impact data through the camera intelligent virtual layout model to generate building environmental impact layout data; performing camera dynamic virtual layout on the specific scene spatial state data through the camera intelligent virtual layout model to generate building specific scene layout data;

[0044] Step S7: construct a visualization platform for the building environmental impact control data and the building emergency scene control data to obtain a virtual layout visualization platform to perform virtual layout operations for surveillance cameras.

[0045] The present invention obtains a standard BIM data set by acquiring a BIM data set and performing data preprocessing to ensure data consistency and standardization in subsequent processing processes; the generation of a standard BIM data set lays a foundation for the accurate extraction and processing of three-dimensional structural information of a building. The three-dimensional structural information of the building is extracted from the standard BIM data set to form three-dimensional structural data. The three-dimensional structural data is subjected to spatial layout analysis to obtain spatial layout data; and the spatial layout data is used for spatial mapping to generate a three-dimensional spatial map of the building to accurately reflect the internal spatial layout of the building. Further, the three-dimensional spatial map of the building is subjected to component spatial positioning to obtain component spatial positioning data, thereby realizing accurate positioning of each component of the building in the three-dimensional spatial map of the building. The three-dimensional spatial map of the building is subjected to physical attribute annotation according to the component spatial positioning data to form physical attribute annotation data, which not only displays the spatial position of the component but also includes physical attribute information. The physical attribute annotation data is used for physical attribute association analysis to form physical attribute data to ensure the association and consistency between the physical attributes of the components. Environmental feature perception technology is applied to obtain environmental feature data, and environmental data mapping is performed on the environmental feature data to generate building environmental data, so that the three-dimensional spatial map can reflect the physical characteristics in the actual environment. Building environmental data is used for dynamic environmental impact registration to form building environmental impact data and ensure the dynamic response of buildings under different environmental conditions. By extracting multi-scene features of BIM data sets, multi-scene feature data is formed to provide a basis for diversified scene analysis. Specific scene types are identified on three-dimensional space graphs to form specific scene data to achieve accurate identification and distinction of different scene types. Specific scene data is used to perform state analysis on spatial layout data to form specific scene state data to ensure the accuracy of scene state information under different layouts, providing an important reference for the dynamic virtual layout of cameras. Based on environmental impact data, specific scene data and spatial state data, a camera intelligent virtual layout model is constructed to achieve intelligent and targeted camera layout. The model is used to perform intelligent virtual layout of environmental impact data and specific scene spatial state data, generate corresponding layout data, and achieve optimal layout and dynamic adjustment of cameras in different environments and scenes. Finally, a virtual layout visualization platform is constructed to intuitively present and optimize camera layout results, thereby improving monitoring efficiency and responsiveness. Therefore, the present invention realizes dynamic impact analysis of building environmental characteristics and scene states through Internet of Things technology, data mapping technology, virtual layout technology and visualization technology to cope with complex and changeable environmental conditions of buildings; and to meet different scene requirements.

[0046] In the embodiment of the present invention, reference Figure 1 The above is a schematic diagram of the steps of the virtual arrangement method of surveillance cameras based on BIM technology of the present invention. In this example, the virtual arrangement method of surveillance cameras based on BIM technology includes the following steps:

[0047] Step S1: Acquire a BIM data set; perform data preprocessing on the BIM data set to obtain a standard BIM data set;

[0048] In an embodiment of the present invention, a building information model (BIM) data set is obtained by connecting to a BIM data acquisition interface, and the obtained BIM data set includes data in multiple dimensions such as the geometric shape, material properties, and component information of the building; a preprocessing operation is performed on the BIM data set, wherein the preprocessing operation includes data cleaning, data format conversion, and data structure optimization, and finally a standard BIM data set is obtained, which lays a foundation for subsequent extraction of three-dimensional structural information of the building and related processing.

[0049] Step S2: extracting the three-dimensional structural information of the building from the standard BIM data set to obtain the three-dimensional structural data of the building; performing spatial layout analysis on the three-dimensional structural data of the building to obtain spatial layout data, and performing spatial mapping on the three-dimensional structural data of the building according to the spatial layout data to generate a three-dimensional spatial map of the building;

[0050] In an embodiment of the present invention, data extraction technology is used to extract three-dimensional structural data of a building from a standard BIM data set, wherein the three-dimensional structural data includes the spatial position, geometric shape and related construction information of each component of the building; spatial analysis technology is used to perform spatial layout analysis on the internal and external layout of the building to generate spatial layout data, wherein the spatial layout data includes the relative position relationship, hierarchical structure and space occupancy of each component of the building; spatial mapping is performed on the three-dimensional structural data of the building based on the generated spatial layout data, and the three-dimensional structural data of the building is converted into a visualized three-dimensional spatial map of the building.

[0051] Step S3: performing component spatial positioning on the three-dimensional spatial diagram of the building to obtain component spatial positioning data; performing physical attribute annotation on the three-dimensional spatial diagram of the building according to the component spatial positioning data to obtain physical attribute annotation data;

[0052] In an embodiment of the present invention, a component positioning algorithm is used to accurately position the components in the three-dimensional space diagram of a building. Based on the three-dimensional space diagram of the building, the position of each building component in the three-dimensional space is accurately calculated using a spatial positioning technology, thereby generating component spatial positioning data; and a coordinate conversion technology is used to match the spatial coordinate system with the positions of each component in the three-dimensional space diagram of the building according to the component spatial positioning data; further, the three-dimensional space diagram of the building is annotated with physical properties according to the component spatial positioning data, and the physical property information of the component (such as material type, mechanical properties, and size specifications) is associated with the spatial positioning data, and the physical property information is accurately annotated at the corresponding component position through data mapping technology to generate physical property annotation data.

[0053] Step S4: performing physical attribute correlation analysis on the three-dimensional structure data of the building according to the physical attribute annotation data to obtain physical attribute data; performing environmental feature perception on the physical attribute data to obtain environmental feature data; performing environmental data mapping on the three-dimensional space diagram of the building according to the environmental feature data to generate building environmental data; performing dynamic environmental impact registration on the three-dimensional space diagram of the building through the building environmental data to obtain building environmental impact data;

[0054] In an embodiment of the present invention, an association algorithm is used to associate physical attribute annotation data with positions in the three-dimensional structure data of a building to obtain physical attribute data; sensor data integration technology is used to perceive environmental characteristics of the physical attribute data, and environmental characteristic data is generated by combining environmental data collected by sensors, including temperature, humidity and light intensity; spatial mapping technology is used to correspond environmental characteristic data with corresponding positions in a three-dimensional spatial map of the building to generate building environmental data; a dynamic registration algorithm is used to register environmental data with the three-dimensional spatial map of the building to generate building environmental impact data.

[0055] Step S5: extracting multi-scene features of the standard BIM data set to obtain multi-scene feature data; performing specific scene type recognition on the three-dimensional space diagram of the building according to the multi-scene feature data to obtain building specific scene data; performing state analysis on the spatial layout data according to the building specific scene data to obtain specific scene state data;

[0056] In an embodiment of the present invention, feature information reflecting a building in different scenarios is extracted from a BIM data set through feature extraction technology, including multi-dimensional features of safety, functionality and environmental adaptability, and multi-scenario feature data is generated; pattern recognition technology is used to identify specific scene types of the three-dimensional spatial map of the building based on the multi-scenario feature data, and building features related to the specific scene are identified, thereby generating building specific scene data, including the spatial distribution and layout characteristics of the building under different usage conditions; a state analysis algorithm is used to perform spatial layout state analysis on the building specific scene data, and the state changes of the building in a specific scene are identified in combination with the spatial layout data, and specific scene state data is generated.

[0057] Step S6: constructing a camera intelligent virtual layout model for the three-dimensional space map of the building according to the building environmental impact data, the building specific scene data and the specific scene spatial state data to obtain the camera intelligent virtual layout model; performing camera intelligent virtual layout on the building environmental impact data through the camera intelligent virtual layout model to generate building environmental impact layout data; performing camera dynamic virtual layout on the specific scene spatial state data through the camera intelligent virtual layout model to generate building specific scene layout data;

[0058] In the embodiment of the present invention, by collecting and organizing building environmental impact data, building specific scene data and specific scene spatial state data, these data are used to construct a camera intelligent virtual layout model. Specifically, a deep learning algorithm-based model construction method is used to input the above data into a model training module. The model is trained through multiple iterations, and the parameters are gradually adjusted to finally form a camera intelligent virtual layout model; then, the camera intelligent virtual layout model is used to perform intelligent virtual layout of the building environmental impact data. The model automatically adjusts the virtual position and angle of the camera according to the environmental impact data, generates building environmental impact layout data, and ensures the optimal layout of the camera under different environmental influences; further, the model processes the specific scene spatial state data, and dynamically adjusts the virtual position of the camera to adapt to changes in the scene state, thereby generating building specific scene layout data.

[0059] Step S7: construct a visualization platform for the building environmental impact control data and the building emergency scene control data to obtain a virtual layout visualization platform to perform virtual layout operations for surveillance cameras.

[0060] In the embodiment of the present invention, cloud platform technology is used to build a visualization platform. First, the building environmental impact control data and building emergency scene control data are input and parsed, and they are superimposed and displayed with the three-dimensional space map of the building to obtain a virtual layout visualization platform. Through the visualization platform, users can view and adjust the virtual layout position of the camera in real time to intuitively present the monitoring effect and ensure the accuracy and effectiveness of the layout. Finally, the platform realizes the visual management of camera layout operations.

[0061] Preferably, step S2 comprises the following steps:

[0062] Step S21: performing building feature recognition on the standard BIM data set to obtain building feature data; performing building structure information extraction on the standard BIM data set according to the building feature data to obtain building structure data;

[0063] Step S22: performing geometric feature recognition on the building structure data to obtain building geometric feature data; performing three-dimensional data mapping on the building structure data according to the building geometric feature data to obtain building three-dimensional structure data;

[0064] Step S23: performing spatial usage analysis on the three-dimensional structure data of the building based on the building geometric feature data to obtain the spatial usage data of the building; dividing the spatial usage data of the building into functional units to generate spatial functional unit data;

[0065] Step S24: performing physical distance measurement on the spatial functional unit data to obtain spatial unit distance data; performing spatial layout logic analysis on the three-dimensional structure data of the building according to the spatial unit distance data to generate spatial layout logic data;

[0066] Step S25: performing spatial collaborative layout recognition on the three-dimensional structure data of the building according to the spatial layout logic data to obtain spatial collaborative layout data; performing spatial layout analysis on the three-dimensional structure data of the building according to the spatial collaborative layout to obtain spatial layout data;

[0067] Step S26: Perform spatial relationship assessment on the spatial layout data to obtain spatial relationship data; perform spatial mapping on the three-dimensional structure data of the building according to the spatial relationship data to generate a three-dimensional spatial map of the building.

[0068] In the embodiment of the present invention, the building elements in the standard BIM data set are analyzed by feature extraction technology to obtain building feature data; the standard BIM data set is parsed and extracted for building structure information to generate building structure data; the building geometric feature data is obtained by using a geometric analysis algorithm and mapped to a three-dimensional space to obtain the building three-dimensional structure data. The use of different areas is identified by scene analysis technology to generate building space use data; the internal space of the building is divided into functional units according to the building space use data to generate space function unit data; the physical distance of the space function unit data is measured by distance calculation technology to obtain space unit distance data; the three-dimensional structure data of the building is analyzed for spatial layout logic according to the space unit distance data to generate space layout logic data; the collaborative analysis technology is used to identify the spatial collaborative layout according to the spatial layout logic data to obtain the spatial collaborative layout data; the three-dimensional structure data of the building is analyzed for spatial layout to generate the final spatial layout data; the spatial relationship inside the building is evaluated by using the spatial layout data to generate the spatial relationship data, and the spatial relationship data is mapped to the three-dimensional structure data of the building to generate the final three-dimensional space map of the building.

[0069] Preferably, step S3 comprises the following steps:

[0070] Step S31: performing component feature recognition on the three-dimensional spatial image of the building to obtain building component feature data; performing component morphology analysis on the building component feature data to generate building component morphology data;

[0071] Step S32: locating the positions of adjacent components in the three-dimensional space diagram of the building through the building component morphology data to generate adjacent component position data;

[0072] Step S33: determining the geometric center of the three-dimensional space diagram of the building according to the adjacent component position data to obtain component geometric center data; defining the boundary conditions of the adjacent component position data according to the component geometric center data to obtain component boundary data; and calculating the angle of the component geometric center data through the component boundary data to obtain component angle data;

[0073] Step S34: performing component spatial positioning on the three-dimensional spatial diagram of the building according to the component geometric center data, the component boundary data and the component angle data to obtain component spatial positioning data;

[0074] Step S35: analyzing the component material properties of the three-dimensional space diagram of the building according to the component spatial positioning data to obtain component material property data; annotating the component optical properties of the three-dimensional space diagram of the building according to the component material property data to obtain optical property annotation data; annotating the component mechanical properties of the three-dimensional space diagram of the building according to the component material property data to obtain mechanical property annotation data; annotating the component electromagnetic shielding properties of the three-dimensional space diagram of the building according to the component material property data to obtain electromagnetic shielding property annotation data;

[0075] Step S36: Integrate the optical property annotation data, the mechanical property annotation data and the electromagnetic shielding property annotation data to obtain the physical property annotation data.

[0076] In the embodiment of the present invention, the component feature recognition is performed through the three-dimensional space diagram of the building, and the specific features of the building components are recognized and extracted by the feature extraction algorithm to obtain the building component feature data; the building component feature data is deeply analyzed by the component morphology analysis algorithm to generate the building component morphology data; the position of the adjacent components of the building three-dimensional space diagram is located according to the building component morphology data to generate the adjacent component position data. The geometric center calculation technology is used to determine the geometric center of each component in the three-dimensional space diagram of the building to obtain the component geometric center data; according to the component geometric center data, the boundary analysis algorithm is used to define the boundary conditions of the position data of the adjacent components to generate the component boundary data; and the angle of the component boundary data is measured to obtain the component angle data. Based on the component geometric center data, component boundary data and component angle data, the spatial positioning algorithm is used to perform component spatial positioning on the three-dimensional space diagram of the building to generate component spatial positioning data; the material property analysis of the three-dimensional space diagram of the building is performed according to the component spatial positioning data, and the component material property data is extracted and obtained by using the material analysis tool; the optical properties of the components in the three-dimensional space diagram of the building are annotated according to the component material property data to generate optical property annotation data; mechanical property annotation data is generated through mechanical property analysis technology, and electromagnetic shielding property analysis is performed according to the material property data to obtain electromagnetic shielding property annotation data; finally, the optical property annotation data, mechanical property annotation data and electromagnetic shielding property annotation data are integrated to uniformly generate physical property annotation data.

[0077] Preferably, step S4 comprises the following steps:

[0078] Step S41: performing optical reflectivity analysis on the three-dimensional structure data of the building according to the optical property annotated data to generate optical reflectivity data; performing mechanical property measurement on the three-dimensional structure data of the building according to the mechanical property annotated data to generate mechanical property data; performing electromagnetic shielding performance monitoring on the three-dimensional structure data of the building according to the mechanical property annotated data to generate electromagnetic shielding performance data;

[0079] Step S42: performing attribute correlation analysis on the three-dimensional structure data of the building based on the optical reflectivity data, the mechanical property data and the electromagnetic shielding performance data to obtain physical property data;

[0080] Step S43: performing ambient light feature perception on the physical property data to obtain ambient light feature data; performing spectral component analysis on the ambient light feature data to obtain ambient spectral component data; performing light intensity measurement on the ambient light feature data according to the spectral component data to obtain ambient light intensity data;

[0081] Step S44: sensing the mechanical characteristics of the component on the physical property data to obtain the mechanical characteristics data of the component; monitoring the ambient wind speed and airflow on the mechanical characteristics data of the component to obtain the ambient wind speed and airflow data; recording the vibration frequency of the mechanical characteristics data of the component according to the ambient wind speed and airflow data to obtain the vibration frequency data of the component;

[0082] Step S45: Perform component electromagnetic characteristic perception on the physical property data to obtain environmental electromagnetic characteristic data; perform dielectric constant measurement on the environmental electromagnetic characteristic data to obtain electromagnetic dielectric constant data; perform electromagnetic interference intensity monitoring on the environmental electromagnetic characteristic data according to the electromagnetic dielectric constant data to obtain environmental electromagnetic interference intensity data;

[0083] Step S46: Integrate the ambient light intensity data, the component vibration frequency data and the ambient electromagnetic interference intensity data to obtain the ambient characteristic data;

[0084] Step S47: mapping the three-dimensional space map of the building to environmental data according to the environmental feature data to generate building environmental data; dynamically registering the three-dimensional space map of the building to environmental impact through the building environmental data to obtain building environmental impact data.

[0085] In the embodiment of the present invention, the optical property annotation data is analyzed by an optical reflection analysis tool to generate optical reflectivity data; the mechanical property annotation data is measured by a mechanical testing device to generate mechanical performance data; and the electromagnetic shielding performance is monitored by an electromagnetic shielding monitoring device to generate electromagnetic shielding performance data. The optical reflectivity data, mechanical performance data and electromagnetic shielding performance data are integrated by a multi-attribute association algorithm to generate physical property data. The physical property data is perceived by an ambient light perception sensor to generate ambient light feature data; the ambient light feature data is analyzed by a spectral component analysis technique to generate ambient spectral component data. The light intensity is calculated based on the ambient spectral component data to obtain ambient light intensity data. The physical property data is perceived by a mechanical perception device to generate component mechanical feature data; the wind speed and airflow are detected by an environmental monitoring technique to obtain ambient wind speed and airflow data; the vibration frequency of the component mechanical feature data is recorded based on the ambient wind speed and airflow data to generate component vibration frequency data. Use electromagnetic sensors to sense the electromagnetic characteristics of physical property data to generate environmental electromagnetic characteristic data; and use dielectric constant measuring instruments to measure and generate electromagnetic dielectric constant data; monitor the electromagnetic interference intensity to obtain environmental electromagnetic interference intensity data. Finally, integrate the ambient light intensity data, component vibration frequency data, and ambient electromagnetic interference intensity data to generate environmental characteristic data; according to the environmental characteristic data, perform environmental data mapping on the three-dimensional space map of the building to generate building environmental data; and generate building environmental impact data through the environmental data registration model.

[0086] Preferably, step S47 includes the following steps:

[0087] Step S471: Identify the illumination intensity region of the three-dimensional space map of the building according to the ambient illumination intensity data to generate illumination intensity region data; perform distribution analysis on the illumination intensity region data to obtain illumination region distribution data, wherein the illumination region distribution data includes strong illumination region data and weak illumination region data;

[0088] Step S472: monitoring the vibration spectrum range of the three-dimensional space diagram of the building according to the component vibration frequency data to generate component vibration range data; measuring the vibration intensity of the component vibration range data to obtain vibration intensity range data, wherein the vibration intensity range data includes component high vibration data and component low vibration data;

[0089] Step S473: Identify the interference intensity distribution of the three-dimensional space map of the building according to the environmental electromagnetic interference intensity data to generate electromagnetic interference intensity distribution data; monitor the affected area of ​​the electromagnetic interference intensity distribution data to obtain electromagnetic interference area data, wherein the electromagnetic interference area data includes strong electromagnetic interference area data and weak electromagnetic interference area data;

[0090] Step S474: mapping the three-dimensional space diagram of the building to environmental data based on the illumination area distribution data, the vibration intensity range data and the electromagnetic interference area data to generate building environmental data;

[0091] Step S475: dynamically aligning the time period of the three-dimensional space diagram of the building through the building environment data to obtain time period alignment data; dynamically aligning the spatial position of the three-dimensional space diagram of the building through the building environment data to obtain spatial position alignment data;

[0092] Step S476: Dynamically register the three-dimensional spatial image of the building based on the time period alignment data and the spatial position alignment data to obtain building environmental impact data.

[0093] In an embodiment of the present invention, according to the ambient light intensity data, the three-dimensional space map of the building is analyzed by the light intensity area recognition algorithm to generate light intensity area data; according to the light intensity area data, the distribution analysis technology is applied to obtain the light area distribution data, including strong light area data and weak light area data. According to the component vibration frequency data, the spectrum analysis technology is used to monitor the vibration spectrum range of the three-dimensional space map of the building to generate component vibration range data; the vibration analysis technology is used to measure the vibration intensity of the component vibration range data to obtain the vibration intensity range data, which is further subdivided into component high vibration data and component low vibration data. Based on the environmental electromagnetic interference intensity data, the electromagnetic interference distribution analysis technology is used to identify the interference intensity distribution of the three-dimensional space map of the building to generate electromagnetic interference intensity distribution data; the interference intensity distribution data is used to monitor the affected area to generate electromagnetic interference area data, including strong electromagnetic interference area data and weak electromagnetic interference area data. Using the environmental data mapping technology, the illumination area distribution data, the vibration intensity range data and the electromagnetic interference area data are mapped to the three-dimensional space map of the building for environmental data to generate building environmental data. Using the building environment data, the time series alignment algorithm is used to dynamically align the time periods of the building's three-dimensional space map to obtain the time period alignment data; at the same time, the spatial position alignment technology is used to dynamically align the spatial position to generate spatial position alignment data. Based on the time period alignment data and spatial position alignment data, the dynamic environmental impact registration technology is used to dynamically register the building's three-dimensional space map to obtain the building environmental impact data.

[0094] Preferably, step S5 comprises the following steps:

[0095] Step S51: extracting high-security scene information from the standard BIM data set to obtain high-security feature data; performing special activity scene feature recognition on the standard BIM data set to obtain special activity feature data; performing emergency evacuation scene analysis on the standard BIM data set to obtain emergency evacuation feature data;

[0096] Step S52: performing sensitive area scene recognition on the three-dimensional spatial map of the building according to the high-security feature data to obtain sensitive area scene data; performing crowd gathering area scene recognition on the three-dimensional spatial map of the building according to the special activity feature data to obtain crowd gathering area scene data; performing evacuation area scene recognition on the three-dimensional spatial map of the building according to the emergency evacuation feature data to obtain evacuation area scene data;

[0097] Step S53: Integrate the sensitive area scene data, crowd gathering area scene data and evacuation area scene data to obtain building specific scene data;

[0098] Step S54: Analyze the lighting equipment operation status of the spatial layout data according to the building specific scene data to generate lighting equipment operation fault data; identify the obstacle layout position of the spatial layout data according to the lighting equipment operation fault data to generate obstacle occlusion data; analyze the personnel flow status of the spatial layout data according to the obstacle occlusion data to generate personnel congestion area data;

[0099] Step S55: Perform status analysis on the spatial layout data based on the lighting equipment operation failure data, obstacle occlusion data and personnel congestion area data to obtain specific scene status data.

[0100] In an embodiment of the present invention, high-security scene information is extracted from a standard BIM data set, and a high-security scene recognition algorithm is used to generate high-security feature data; the standard BIM data set is analyzed using special activity scene recognition technology to obtain special activity feature data; and the standard BIM data set is subjected to emergency evacuation scene feature analysis to obtain emergency evacuation feature data. Based on the high-security feature data, the three-dimensional spatial map of the building is subjected to sensitive area scene analysis through sensitive area scene recognition technology to obtain sensitive area scene data. According to the special activity feature data, the crowd gathering area recognition technology is applied to perform crowd gathering area analysis on the three-dimensional spatial map of the building to generate corresponding crowd gathering area scene data; combined with the emergency evacuation feature data, the evacuation area scene recognition technology is used to process the three-dimensional spatial map of the building to generate evacuation area scene data. The sensitive area scene data, the crowd gathering area scene data, and the evacuation area scene data are integrated, and the building-specific scene data is generated using data fusion technology. According to the building's specific scene data, the lighting equipment operation analysis technology is used to process the spatial layout data to generate lighting equipment operation failure data; the obstacle layout recognition technology is used to analyze the spatial layout data to obtain obstacle occlusion data; the personnel flow status analysis technology is used to process the spatial layout data according to the obstacle occlusion data to generate personnel congestion area data. Based on the lighting equipment operation failure data, obstacle occlusion data and personnel congestion area data, the status analysis technology is used to conduct a comprehensive analysis of the spatial layout data to generate specific scene status data.

[0101] As an example of the present invention, refer to Figure 2 As shown, in this example, step S6 includes:

[0102] Step S61: constructing a camera intelligent virtual arrangement model for the three-dimensional space diagram of the building according to the building environmental impact data, the building specific scene data and the specific scene spatial state data to obtain a camera intelligent virtual arrangement pre-model, and training the camera intelligent virtual arrangement pre-model using the building environmental impact data, the building specific scene data and the specific scene spatial state data to obtain a camera intelligent virtual arrangement training model;

[0103] Step S62: performing a model cross-validation evaluation on the camera intelligent virtual arrangement training model to obtain camera intelligent virtual arrangement model evaluation data; adjusting model parameters of the camera intelligent virtual arrangement training model according to the camera intelligent virtual arrangement model evaluation data to obtain a camera intelligent virtual arrangement model;

[0104] Step S63: Performing intelligent virtual camera arrangement on the building environmental impact data through the camera intelligent virtual arrangement model to generate building environmental impact control data;

[0105] Step S64: Perform dynamic virtual arrangement of cameras on the specific scene space status data through the camera intelligent virtual arrangement model to generate building specific scene control data.

[0106] In an embodiment of the present invention, a camera intelligent virtual layout model is constructed for a three-dimensional spatial map of a building according to building environmental impact data, building specific scene data, and specific scene spatial state data. A deep Q network (DQN) algorithm is used to define the state space (including environmental impact and scene data), action space (camera layout position), and reward function (accuracy based on the layout effect). The network structure includes two convolutional layers (convolution kernel size 3x3, ReLU activation function), followed by two fully connected layers, and the output is the Q value of each action. The epsilon-greedy strategy is used for training, and the initial epsilon value is 0.9 to encourage exploration, and the epsilon is gradually reduced as the training progresses. The experience replay mechanism is used during the training process, and the Adam optimizer (learning rate 0.001) is used for optimization. The training model is subjected to performance evaluation and parameter optimization. The data is divided into a training set, a validation set, and a test set (70%, 15%, and 15%, respectively), and the evaluation indicators include layout accuracy and resource utilization. The number of convolutional layer filters and the number of fully connected layer nodes are adjusted through hyperparameter optimization (such as grid search or Bayesian optimization) to minimize the mean square error (MSE), and finally generate an optimized camera intelligent virtual layout model. The camera intelligent virtual layout model is used to perform intelligent virtual layout of the building environmental impact data to generate building environmental impact control data. The camera intelligent virtual layout model is used to perform dynamic virtual layout of the camera on the spatial state data of a specific scene to generate building specific scene control data.

[0107] As an example of the present invention, refer to Figure 3 As shown, in this example, step S63 includes:

[0108] Step S631: Perform intelligent virtual camera arrangement on the illumination area distribution data through the camera intelligent virtual arrangement model. If the illumination area distribution data is strong illumination area data, perform anti-glare camera virtual arrangement on the three-dimensional space map of the building to generate strong illumination area arrangement measures; if the illumination area distribution data is weak illumination area data, perform low-light enhancement camera virtual arrangement on the three-dimensional space map of the building to generate weak illumination area arrangement measures; integrate the strong illumination area arrangement measures and the weak illumination area arrangement measures to obtain illumination area arrangement data;

[0109] Step S632: Perform intelligent virtual arrangement of cameras on the vibration intensity range data through the camera intelligent virtual arrangement model. If the vibration intensity range data is a component high vibration measure, perform anti-vibration camera virtual arrangement on the three-dimensional space diagram of the building to generate component high vibration arrangement measures; if the vibration intensity range data is a component low vibration measure, perform standard fixed camera virtual arrangement on the three-dimensional space diagram of the building to generate component low vibration arrangement measures; integrate component high vibration arrangement measures and component low vibration arrangement measures to obtain vibration range arrangement data;

[0110] Step S633: Perform intelligent virtual camera arrangement on the electromagnetic interference area data through the camera intelligent virtual arrangement model. If the electromagnetic interference area data is strong electromagnetic interference area data, perform shielding type camera virtual arrangement on the three-dimensional space map of the building to generate strong electromagnetic interference area arrangement measures; if the electromagnetic interference area data is weak electromagnetic interference area data, perform standard type camera virtual arrangement on the three-dimensional space map of the building to generate weak electromagnetic interference area arrangement measures; integrate the strong electromagnetic interference area arrangement measures and the weak electromagnetic interference area arrangement measures to obtain electromagnetic interference area arrangement data;

[0111] Step S634: Integrate the illumination area layout data, the vibration range layout data and the electromagnetic interference area layout data to obtain the building environment impact layout data.

[0112] In an embodiment of the present invention, a virtual camera arrangement is performed on a three-dimensional spatial map of a building according to the illumination area distribution data; if the illumination area distribution data indicates that the area is a strong illumination area, an anti-glare camera is arranged in the three-dimensional spatial map to generate a strong illumination area arrangement measure; if the illumination area distribution data indicates that the area is a weak illumination area, a low-light enhancement camera is arranged in the three-dimensional spatial map to generate a weak illumination area arrangement measure; the strong illumination area arrangement measure is integrated with the weak illumination area arrangement measure to obtain illumination area arrangement data. A virtual camera arrangement is performed on a three-dimensional spatial map of a building according to the vibration intensity range data; if the vibration intensity range data indicates that the area is a high vibration area, an anti-vibration camera is arranged to generate a component high vibration arrangement measure; if the vibration intensity range data indicates that the area is a low vibration area, a standard fixed camera is arranged to generate a component low vibration arrangement measure; the component high vibration arrangement measure is integrated with the component low vibration arrangement measure to obtain vibration range arrangement data. The electromagnetic interference area data is intelligently virtually arranged by using a camera intelligent virtual arrangement model. If the electromagnetic interference area data indicates a strong electromagnetic interference area, shielded cameras are arranged to generate strong electromagnetic interference area arrangement measures. If the electromagnetic interference area data indicates a weak electromagnetic interference area, standard cameras are arranged to generate weak electromagnetic interference area arrangement measures. The strong electromagnetic interference area arrangement measures are integrated with the weak electromagnetic interference area arrangement measures to obtain the electromagnetic interference area arrangement data.

[0113] Preferably, step S64 includes the following steps:

[0114] Step S641: Performing dynamic virtual arrangement of cameras on the spatial state data of a specific scene through the camera intelligent virtual arrangement model. If the spatial state data of the specific scene is lighting equipment operation fault data, performing multi-camera collaborative virtual arrangement on the three-dimensional spatial map of the building to generate lighting fault arrangement measures; if the spatial state data of the specific scene is obstacle occlusion data, performing multi-angle camera cross virtual arrangement on the three-dimensional spatial map of the building to generate obstacle avoidance arrangement measures; if the spatial state data of the specific scene is personnel congestion area data, performing dynamic overlapping and covering virtual arrangement of cameras on the three-dimensional spatial map of the building to generate personnel congestion area arrangement measures;

[0115] Step S642: Integrate lighting fault arrangement measures, obstacle avoidance arrangement measures and personnel congestion area arrangement measures to obtain building specific scene arrangement data.

[0116] In the embodiment of the present invention, the spatial state data of a specific scene is virtually arranged through the intelligent virtual arrangement model of the camera. For the lighting equipment operation fault data, multi-camera collaborative arrangement is performed on the three-dimensional spatial map of the building to ensure full coverage of the light source and generate lighting fault arrangement measures; for obstacle occlusion data, a multi-angle camera cross arrangement strategy is adopted to bypass obstacles and generate obstacle avoidance arrangement measures; for personnel congestion area data, a camera dynamic overlapping coverage arrangement strategy is implemented to ensure full monitoring of densely populated areas and generate personnel congestion area arrangement measures. The lighting fault arrangement measures, obstacle avoidance arrangement measures and personnel congestion area arrangement measures are integrated to generate building specific scene arrangement data.

[0117] In this specification, a surveillance camera virtual layout system based on BIM technology is provided, which is used to execute the above-mentioned surveillance camera virtual layout method based on BIM technology. The surveillance camera virtual layout system based on BIM technology includes:

[0118] A BIM data acquisition module is used to acquire a BIM data set; perform data preprocessing on the BIM data set to obtain a standard BIM data set;

[0119] The building three-dimensional spatial map module is used to extract the building three-dimensional structural information from the standard BIM data set to obtain the building three-dimensional structural data; perform spatial layout analysis on the building three-dimensional structural data to obtain spatial layout data, perform spatial mapping on the building three-dimensional structural data according to the spatial layout data, and generate the building three-dimensional spatial map;

[0120] The physical attribute annotation module is used to perform component spatial positioning on the three-dimensional spatial diagram of the building to obtain component spatial positioning data; perform physical attribute annotation on the three-dimensional spatial diagram of the building according to the component spatial positioning data to obtain physical attribute annotation data;

[0121] The building environmental impact module is used to perform physical attribute correlation analysis on the building's three-dimensional structure data according to the physical attribute annotation data to obtain physical attribute data; perform environmental feature perception on the physical attribute data to obtain environmental feature data; perform environmental data mapping on the building's three-dimensional space diagram according to the environmental feature data to generate building environmental data; perform dynamic environmental impact registration on the building's three-dimensional space diagram through the building environmental data to obtain building environmental impact data;

[0122] The specific scene state module is used to extract the multi-scene features of the standard BIM data set to obtain multi-scene feature data; identify the specific scene type of the building's three-dimensional space map based on the multi-scene feature data to obtain the building's specific scene data; perform state analysis on the spatial layout data based on the building's specific scene data to obtain specific scene state data;

[0123] The camera intelligent virtual layout model module is used to construct a camera intelligent virtual layout model for the three-dimensional space map of the building according to the building environmental impact data, the building specific scene data and the specific scene spatial state data, so as to obtain the camera intelligent virtual layout model; perform camera intelligent virtual layout on the building environmental impact data through the camera intelligent virtual layout model to generate building environmental impact layout data; perform camera dynamic virtual layout on the specific scene spatial state data through the camera intelligent virtual layout model to generate building specific scene layout data;

[0124] The virtual layout visualization platform module is used to construct a visualization platform for the building environment impact layout data and the building emergency scene layout data, and obtain a virtual layout visualization platform to perform virtual layout operations for surveillance cameras.

[0125] The present invention acquires and preprocesses a BIM data set through a BIM data acquisition module, generates a standard BIM data set, and ensures consistency and standardized operation in the subsequent data processing process. The generation of a standard BIM data set lays a solid foundation for accurately extracting and processing three-dimensional structural information of a building. By extracting the three-dimensional structural information of a building from the standard BIM data set, the three-dimensional structural data of the building is obtained, and the accuracy of the spatial layout analysis is ensured. The three-dimensional structural data of the building is subjected to spatial layout analysis, spatial layout data is generated, and the three-dimensional structure of the building is spatially mapped based on these data, thereby generating a three-dimensional spatial diagram of the building, realizing the accurate reflection of the internal spatial layout of the building, and providing a reliable basis for the subsequent component spatial positioning and physical property labeling. The three-dimensional spatial diagram of the building is spatially positioned by the component through the three-dimensional spatial diagram module of the building, and component spatial positioning data is generated, thereby ensuring the accurate positioning of each component of the building in the three-dimensional space. The physical property labeling module performs physical property labeling on the three-dimensional spatial diagram of the building based on the component spatial positioning data, and generates physical property labeling data, so that the three-dimensional spatial diagram of the building not only reflects the spatial position of the component, but also contains physical property information. According to the physical attribute annotation data, the physical attribute correlation analysis of the three-dimensional structure data of the building is performed to generate physical attribute data, ensuring the correlation and consistency between the physical attributes of each component. The environmental characteristics of the physical attribute data are perceived through the building environmental impact module to obtain environmental feature data, and the environmental data is mapped to the three-dimensional space diagram of the building using this data to generate building environmental data, so that the three-dimensional space diagram of the building can reflect the physical characteristics in the actual environment. Finally, the three-dimensional space diagram of the building is dynamically registered for environmental impact based on the building environmental data to generate building environmental impact data, ensuring the dynamic response of the building under different environmental conditions. The multi-scene features in the standard BIM data set are extracted through the specific scene state module to generate multi-scene feature data, laying the foundation for the diversified scene analysis of the building. According to the multi-scene feature data, the three-dimensional space diagram of the building is identified for specific scene types to generate building specific scene data, realizing the accurate identification and distinction of different scene types. Based on the building specific scene data, the spatial layout data is analyzed for state to generate specific scene state data, ensuring the accuracy of the state information of the specific scene under different layouts, providing an important basis for the dynamic virtual layout of the camera. The camera intelligent virtual layout model module constructs the camera intelligent virtual layout model for the building's three-dimensional space map based on the building's environmental impact data, building-specific scene data, and specific scene spatial status data, and generates the camera intelligent virtual layout model, ensuring the intelligence and pertinence of the camera layout. Through the camera intelligent virtual layout model, the camera intelligent virtual layout is performed on the building's environmental impact data, and the building's environmental impact layout data is generated, realizing the optimal layout of the camera under different environmental influences.Through the camera intelligent virtual layout model, the camera is dynamically virtually arranged for the specific scene space state data, and the building specific scene layout data is generated, ensuring the dynamic adjustment and optimization of the camera under different scene states. Through the virtual layout visualization platform module, a visualization platform is constructed based on the building environmental impact control data and the building emergency scene control data, and a virtual layout visualization platform is generated to perform the virtual layout operation of the monitoring camera, so as to realize the intuitive presentation and operation optimization of the camera layout results, and improve the monitoring efficiency and responsiveness. Therefore, the present invention realizes dynamic impact analysis of building environmental characteristics and scene states through Internet of Things technology, data mapping technology, virtual layout technology and visualization technology to cope with the complex and changeable environmental conditions of the building; and meet different scene requirements.

[0126] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0127] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A virtual arrangement method of surveillance cameras based on BIM technology, characterized in that: The following steps are involved: Step S1: Obtain BIM dataset; Perform data preprocessing on the BIM data set to obtain a standard BIM data set; Step S2: extracting the three-dimensional structural information of the building from the standard BIM data set to obtain the three-dimensional structural data of the building; Performing spatial layout analysis on the three-dimensional structural data of the building to obtain spatial layout data, and performing spatial mapping on the three-dimensional structural data of the building according to the spatial layout data to generate a three-dimensional spatial map of the building; Step S3: performing component spatial positioning on the three-dimensional spatial diagram of the building to obtain component spatial positioning data; Perform physical attribute annotation on the three-dimensional spatial diagram of the building according to the component spatial positioning data to obtain physical attribute annotation data; Step S4: performing physical attribute correlation analysis on the three-dimensional structure data of the building according to the physical attribute annotation data to obtain physical attribute data; performing environmental feature perception on the physical attribute data to obtain environmental feature data; performing environmental data mapping on the three-dimensional space diagram of the building according to the environmental feature data to generate building environmental data; performing dynamic environmental impact registration on the three-dimensional space diagram of the building through the building environmental data to obtain building environmental impact data; Step S5: extracting multi-scene features of the standard BIM data set to obtain multi-scene feature data; performing specific scene type recognition on the three-dimensional space diagram of the building according to the multi-scene feature data to obtain building specific scene data; performing state analysis on the spatial layout data according to the building specific scene data to obtain specific scene state data; Step S6: constructing a camera intelligent virtual layout model for the three-dimensional space diagram of the building according to the building environmental impact data, the building specific scene data and the specific scene spatial state data to obtain the camera intelligent virtual layout model; Perform intelligent virtual camera arrangement on building environmental impact data through a camera intelligent virtual arrangement model to generate building environmental impact arrangement data; Through the camera intelligent virtual layout model, the camera dynamic virtual layout is performed on the specific scene space state data to generate the building specific scene layout data; Step S7: construct a visualization platform for the building environmental impact control data and the building emergency scene control data to obtain a virtual layout visualization platform to perform virtual layout operations for surveillance cameras.

2. The method for virtual arrangement of surveillance cameras based on BIM technology according to claim 1, characterized in that: Step S2 includes the following steps: Step S21: performing building feature recognition on the standard BIM data set to obtain building feature data; performing building structure information extraction on the standard BIM data set according to the building feature data to obtain building structure data; Step S22: performing geometric feature recognition on the building structure data to obtain building geometric feature data; performing three-dimensional data mapping on the building structure data according to the building geometric feature data to obtain building three-dimensional structure data; Step S23: performing spatial usage analysis on the three-dimensional structure data of the building based on the building geometric feature data to obtain the spatial usage data of the building; dividing the spatial usage data of the building into functional units to generate spatial functional unit data; Step S24: performing physical distance measurement on the spatial functional unit data to obtain spatial unit distance data; performing spatial layout logic analysis on the three-dimensional structure data of the building according to the spatial unit distance data to generate spatial layout logic data; Step S25: performing spatial collaborative layout recognition on the three-dimensional structure data of the building according to the spatial layout logic data to obtain spatial collaborative layout data; performing spatial layout analysis on the three-dimensional structure data of the building according to the spatial collaborative layout to obtain spatial layout data; Step S26: Perform spatial relationship assessment on the spatial layout data to obtain spatial relationship data; perform spatial mapping on the three-dimensional structure data of the building according to the spatial relationship data to generate a three-dimensional spatial map of the building.

3. The method for virtual arrangement of surveillance cameras based on BIM technology according to claim 1, characterized in that: Step S3 includes the following steps: Step S31: performing component feature recognition on the three-dimensional spatial image of the building to obtain building component feature data; performing component morphology analysis on the building component feature data to generate building component morphology data; Step S32: locating the positions of adjacent components in the three-dimensional space diagram of the building through the building component morphology data to generate adjacent component position data; Step S33: determining the geometric center of the three-dimensional space diagram of the building according to the adjacent component position data to obtain component geometric center data; defining the boundary conditions of the adjacent component position data according to the component geometric center data to obtain component boundary data; and calculating the angle of the component geometric center data through the component boundary data to obtain component angle data; Step S34: performing component spatial positioning on the three-dimensional spatial diagram of the building according to the component geometric center data, the component boundary data and the component angle data to obtain component spatial positioning data; Step S35: analyzing the component material properties of the three-dimensional space diagram of the building according to the component spatial positioning data to obtain component material property data; annotating the component optical properties of the three-dimensional space diagram of the building according to the component material property data to obtain optical property annotation data; annotating the component mechanical properties of the three-dimensional space diagram of the building according to the component material property data to obtain mechanical property annotation data; annotating the component electromagnetic shielding properties of the three-dimensional space diagram of the building according to the component material property data to obtain electromagnetic shielding property annotation data; Step S36: Integrate the optical property annotation data, the mechanical property annotation data and the electromagnetic shielding property annotation data to obtain the physical property annotation data.

4. The method for virtual arrangement of surveillance cameras based on BIM technology according to claim 1, characterized in that: Step S4 includes the following steps: Step S41: performing optical reflectivity analysis on the three-dimensional structure data of the building according to the optical property annotated data to generate optical reflectivity data; performing mechanical property measurement on the three-dimensional structure data of the building according to the mechanical property annotated data to generate mechanical property data; performing electromagnetic shielding performance monitoring on the three-dimensional structure data of the building according to the mechanical property annotated data to generate electromagnetic shielding performance data; Step S42: performing attribute correlation analysis on the three-dimensional structure data of the building based on the optical reflectivity data, the mechanical property data and the electromagnetic shielding performance data to obtain physical property data; Step S43: performing ambient light feature perception on the physical property data to obtain ambient light feature data; performing spectral component analysis on the ambient light feature data to obtain ambient spectral component data; performing light intensity measurement on the ambient light feature data according to the spectral component data to obtain ambient light intensity data; Step S44: sensing the mechanical characteristics of the component on the physical property data to obtain the mechanical characteristics data of the component; monitoring the ambient wind speed and airflow on the mechanical characteristics data of the component to obtain the ambient wind speed and airflow data; recording the vibration frequency of the mechanical characteristics data of the component according to the ambient wind speed and airflow data to obtain the vibration frequency data of the component; Step S45: Perform component electromagnetic characteristic perception on the physical property data to obtain environmental electromagnetic characteristic data; perform dielectric constant measurement on the environmental electromagnetic characteristic data to obtain electromagnetic dielectric constant data; perform electromagnetic interference intensity monitoring on the environmental electromagnetic characteristic data according to the electromagnetic dielectric constant data to obtain environmental electromagnetic interference intensity data; Step S46: Integrate the ambient light intensity data, the component vibration frequency data and the ambient electromagnetic interference intensity data to obtain the ambient characteristic data; Step S47: mapping the three-dimensional space map of the building to environmental data according to the environmental feature data to generate building environmental data; dynamically registering the three-dimensional space map of the building to environmental impact through the building environmental data to obtain building environmental impact data.

5. The method for virtual arrangement of surveillance cameras based on BIM technology according to claim 4 is characterized in that: Step S47 includes the following steps: Step S471: Identify the illumination intensity region of the three-dimensional space map of the building according to the ambient illumination intensity data to generate illumination intensity region data; perform distribution analysis on the illumination intensity region data to obtain illumination region distribution data, wherein the illumination region distribution data includes strong illumination region data and weak illumination region data; Step S472: monitoring the vibration spectrum range of the three-dimensional space diagram of the building according to the component vibration frequency data to generate component vibration range data; measuring the vibration intensity of the component vibration range data to obtain vibration intensity range data, wherein the vibration intensity range data includes component high vibration data and component low vibration data; Step S473: Identify the interference intensity distribution of the three-dimensional space map of the building according to the environmental electromagnetic interference intensity data to generate electromagnetic interference intensity distribution data; monitor the affected area of ​​the electromagnetic interference intensity distribution data to obtain electromagnetic interference area data, wherein the electromagnetic interference area data includes strong electromagnetic interference area data and weak electromagnetic interference area data; Step S474: mapping the three-dimensional space diagram of the building to environmental data based on the illumination area distribution data, the vibration intensity range data and the electromagnetic interference area data to generate building environmental data; Step S475: dynamically aligning the time period of the three-dimensional space diagram of the building through the building environment data to obtain time period alignment data; dynamically aligning the spatial position of the three-dimensional space diagram of the building through the building environment data to obtain spatial position alignment data; Step S476: Dynamically register the three-dimensional spatial image of the building based on the time period alignment data and the spatial position alignment data to obtain building environmental impact data.

6. The method for virtual arrangement of surveillance cameras based on BIM technology according to claim 1, characterized in that: Step S5 includes the following steps: Step S51: extracting high-security scene information from the standard BIM data set to obtain high-security feature data; performing special activity scene feature recognition on the standard BIM data set to obtain special activity feature data; performing emergency evacuation scene analysis on the standard BIM data set to obtain emergency evacuation feature data; Step S52: performing sensitive area scene recognition on the three-dimensional spatial map of the building according to the high-security feature data to obtain sensitive area scene data; performing crowd gathering area scene recognition on the three-dimensional spatial map of the building according to the special activity feature data to obtain crowd gathering area scene data; performing evacuation area scene recognition on the three-dimensional spatial map of the building according to the emergency evacuation feature data to obtain evacuation area scene data; Step S53: Integrate the sensitive area scene data, crowd gathering area scene data and evacuation area scene data to obtain building specific scene data; Step S54: Analyze the lighting equipment operation status of the spatial layout data according to the building specific scene data to generate lighting equipment operation fault data; identify the obstacle layout position of the spatial layout data according to the lighting equipment operation fault data to generate obstacle occlusion data; analyze the personnel flow status of the spatial layout data according to the obstacle occlusion data to generate personnel congestion area data; Step S55: Perform status analysis on the spatial layout data based on the lighting equipment operation failure data, obstacle occlusion data and personnel congestion area data to obtain specific scene status data.

7. The method for virtual arrangement of surveillance cameras based on BIM technology according to claim 1, characterized in that: Step S6 includes the following steps: Step S61: constructing a camera intelligent virtual arrangement model for the three-dimensional space diagram of the building according to the building environmental impact data, the building specific scene data and the specific scene spatial state data to obtain a camera intelligent virtual arrangement pre-model, and training the camera intelligent virtual arrangement pre-model using the building environmental impact data, the building specific scene data and the specific scene spatial state data to obtain a camera intelligent virtual arrangement training model; Step S62: performing a model cross-validation evaluation on the camera intelligent virtual arrangement training model to obtain camera intelligent virtual arrangement model evaluation data; adjusting model parameters of the camera intelligent virtual arrangement training model according to the camera intelligent virtual arrangement model evaluation data to obtain a camera intelligent virtual arrangement model; Step S63: Performing intelligent virtual camera arrangement on the building environmental impact data through the camera intelligent virtual arrangement model to generate building environmental impact control data; Step S64: Perform dynamic virtual arrangement of cameras on the specific scene space status data through the camera intelligent virtual arrangement model to generate building specific scene control data.

8. The method for virtual arrangement of surveillance cameras based on BIM technology according to claim 7, characterized in that: Step S63 includes the following steps: Step S631: Perform intelligent virtual camera arrangement on the illumination area distribution data through the camera intelligent virtual arrangement model. If the illumination area distribution data is strong illumination area data, perform anti-glare camera virtual arrangement on the three-dimensional space map of the building to generate strong illumination area arrangement measures; if the illumination area distribution data is weak illumination area data, perform low-light enhancement camera virtual arrangement on the three-dimensional space map of the building to generate weak illumination area arrangement measures; integrate the strong illumination area arrangement measures and the weak illumination area arrangement measures to obtain illumination area arrangement data; Step S632: Perform intelligent virtual arrangement of cameras on the vibration intensity range data through the camera intelligent virtual arrangement model. If the vibration intensity range data is a component high vibration measure, perform anti-vibration camera virtual arrangement on the three-dimensional space diagram of the building to generate component high vibration arrangement measures; if the vibration intensity range data is a component low vibration measure, perform standard fixed camera virtual arrangement on the three-dimensional space diagram of the building to generate component low vibration arrangement measures; integrate component high vibration arrangement measures and component low vibration arrangement measures to obtain vibration range arrangement data; Step S633: Perform intelligent virtual camera arrangement on the electromagnetic interference area data through the camera intelligent virtual arrangement model. If the electromagnetic interference area data is strong electromagnetic interference area data, perform shielding type camera virtual arrangement on the three-dimensional space map of the building to generate strong electromagnetic interference area arrangement measures; if the electromagnetic interference area data is weak electromagnetic interference area data, perform standard type camera virtual arrangement on the three-dimensional space map of the building to generate weak electromagnetic interference area arrangement measures; integrate the strong electromagnetic interference area arrangement measures and the weak electromagnetic interference area arrangement measures to obtain electromagnetic interference area arrangement data; Step S634: Integrate the illumination area layout data, the vibration range layout data and the electromagnetic interference area layout data to obtain the building environment impact layout data.

9. The method for virtual arrangement of surveillance cameras based on BIM technology according to claim 7, characterized in that: Step S64 includes the following steps: Step S641: Performing dynamic virtual arrangement of cameras on the spatial state data of a specific scene through the camera intelligent virtual arrangement model. If the spatial state data of the specific scene is lighting equipment operation fault data, performing multi-camera collaborative virtual arrangement on the three-dimensional spatial map of the building to generate lighting fault arrangement measures; if the spatial state data of the specific scene is obstacle occlusion data, performing multi-angle camera cross virtual arrangement on the three-dimensional spatial map of the building to generate obstacle avoidance arrangement measures; if the spatial state data of the specific scene is personnel congestion area data, performing dynamic overlapping and covering virtual arrangement of cameras on the three-dimensional spatial map of the building to generate personnel congestion area arrangement measures; Step S642: Integrate lighting fault arrangement measures, obstacle avoidance arrangement measures and personnel congestion area arrangement measures to obtain building specific scene arrangement data.

10. A surveillance camera virtual layout system based on BIM technology, characterized in that: Used to execute the virtual arrangement method of surveillance cameras based on BIM technology as claimed in claim 1, the virtual arrangement system of surveillance cameras based on BIM technology comprises: A BIM data acquisition module is used to acquire a BIM data set; perform data preprocessing on the BIM data set to obtain a standard BIM data set; The building three-dimensional spatial map module is used to extract the building three-dimensional structural information from the standard BIM data set to obtain the building three-dimensional structural data; perform spatial layout analysis on the building three-dimensional structural data to obtain spatial layout data, perform spatial mapping on the building three-dimensional structural data according to the spatial layout data, and generate the building three-dimensional spatial map; The physical attribute annotation module is used to perform component spatial positioning on the three-dimensional spatial diagram of the building to obtain component spatial positioning data; perform physical attribute annotation on the three-dimensional spatial diagram of the building according to the component spatial positioning data to obtain physical attribute annotation data; The building environmental impact module is used to perform physical attribute correlation analysis on the building's three-dimensional structure data according to the physical attribute annotation data to obtain physical attribute data; perform environmental feature perception on the physical attribute data to obtain environmental feature data; perform environmental data mapping on the building's three-dimensional space diagram according to the environmental feature data to generate building environmental data; perform dynamic environmental impact registration on the building's three-dimensional space diagram through the building environmental data to obtain building environmental impact data; The specific scene state module is used to extract the multi-scene features of the standard BIM data set to obtain multi-scene feature data; identify the specific scene type of the building's three-dimensional space map based on the multi-scene feature data to obtain the building's specific scene data; perform state analysis on the spatial layout data based on the building's specific scene data to obtain specific scene state data; The camera intelligent virtual layout model module is used to construct a camera intelligent virtual layout model for the three-dimensional space map of the building according to the building environmental impact data, the building specific scene data and the specific scene spatial state data, so as to obtain the camera intelligent virtual layout model; perform camera intelligent virtual layout on the building environmental impact data through the camera intelligent virtual layout model to generate building environmental impact layout data; perform camera dynamic virtual layout on the specific scene spatial state data through the camera intelligent virtual layout model to generate building specific scene layout data; The virtual layout visualization platform module is used to construct a visualization platform for the building environment impact layout data and the building emergency scene layout data, and obtain a virtual layout visualization platform to perform virtual layout operations for surveillance cameras.

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