Building intelligent three-dimensional visualization management and control system based on digital twinning

Abstract

The application discloses to the technical field of building control, specifically is based on digital twinning building intelligent three-dimensional visualization control system, including internet of things sensing collection module, multi-source data fusion module, digital twinning modeling module, three-dimensional real-time rendering module, intelligent linkage control module, abnormal early warning disposal module, edge collaborative computing module, cloud iterative optimization module, the application has the beneficial effect: through internet of things sensing collection module and multi-source data fusion module, can real-time acquisition and unified processing various data in building, establish standardization data base, eliminate data island, improve data utilization efficiency, digital twinning modeling module can construct 1:1 high-precision three-dimensional model, collect and update regularly and compare with benchmark model, automatically mark structure deformation, component offset and other differences, realize early prediction and active protection of safety hidden danger.

Description

Technical Field

[0001] This invention relates to the field of building management technology, specifically to a building intelligent three-dimensional visualization management system based on digital twins. Background Technology

[0002] Architecture refers to houses and related ancillary facilities that provide people with various functions such as living, working, production, transportation, and entertainment. They are constructed through rational planning, design, and construction. They include not only the buildings themselves, such as residences, office buildings, shopping malls, and hospitals, but also supporting projects such as roads, pipelines, and gardens. They also possess practicality, safety, aesthetics, and durability, and serve as the basic carriers of human life and social operation.

[0003] Building management refers to the comprehensive monitoring, unified scheduling, intelligent control, and emergency response of equipment operation, environmental status, energy consumption, security and fire protection, personnel flow, and structural safety within a building. Through data collection, analysis, judgment, and automatic linkage, it ensures the safe, stable, efficient, and energy-saving operation of buildings, and improves user experience and management efficiency.

[0004] However, existing building management systems rely on manual inspections to monitor equipment operation, making it difficult to detect faults and anomalies in a timely manner. Building management also relies on centralized cloud processing, which suffers from high latency and is prone to failure after network outages. Furthermore, the lack of 3D visualization means prevents managers from intuitively grasping the overall operation of the building. The lack of continuous monitoring and comparison of changes in building structure, components, and equipment makes it difficult to detect potential safety hazards in advance.

[0005] To address this, we propose a digital twin-based intelligent 3D visualization control system for buildings. Summary of the Invention

[0006] In view of the problems existing in the above and / or existing intelligent 3D visualization control systems for buildings based on digital twins, this invention is proposed.

[0007] Therefore, the purpose of this invention is to provide a digital twin-based intelligent 3D visualization control system for buildings. By improving existing building control systems, this invention addresses the following issues: existing building control systems rely on manual inspections of equipment operation status, making it difficult to detect faults and anomalies in a timely manner; they rely on centralized cloud processing, resulting in high latency and susceptibility to paralysis after network interruptions; they lack 3D visualization methods, preventing managers from intuitively grasping the overall building operation; and they lack continuous monitoring and comparison of changes in building structure, components, and equipment, making it difficult to detect potential safety hazards in advance.

[0008] To address the aforementioned technical problems, according to one aspect of the present invention, the present invention provides the following technical solution:

[0009] The building intelligent 3D visualization control system based on digital twins includes an IoT sensing and acquisition module, a multi-source data fusion module, a digital twin modeling module, a 3D real-time rendering module, an intelligent linkage control module, an anomaly early warning and handling module, an edge collaborative computing module, and a cloud iterative optimization module.

[0010] The IoT sensing and acquisition module is used to collect real-time data on the building's internal environment, equipment operation, energy consumption, security monitoring, and personnel location.

[0011] The multi-source data fusion module cleans, standardizes, and spatiotemporally aligns the collected heterogeneous data to establish a unified data foundation.

[0012] The digital twin modeling module constructs a 1:1 high-precision digital twin of a building based on BIM, point cloud, and real-scene data, achieving precise mapping between physical space and digital space;

[0013] The intelligent linkage control module performs unified closed-loop control of elevators, lighting, air conditioning, security, and fire protection equipment based on three-dimensional scene interaction commands and preset rules.

[0014] The abnormal early warning and handling module can identify, locate, and automatically dispatch data violations, equipment failures, security intrusions, and fire alarms in real time.

[0015] The edge collaborative computing module performs real-time calculations and command issuance locally, reducing latency and supporting autonomous operation even when the network is down.

[0016] As a preferred embodiment of the intelligent 3D visualization control system for buildings based on digital twins described in this invention, the digital twin modeling module stores and records the baseline 3D model, continuously collects on-site data and reconstructs the real-time 3D model according to a preset cycle, performs precise comparative analysis of the real-time 3D model with the historical baseline 3D model on a component-by-component and position-by-position basis, automatically identifies and marks differences such as structural deformation, component offset, equipment displacement, and pipeline anomalies, tracks and records the changes in differences throughout the process, and identifies potential safety risks in advance based on the degree of difference and the trend of change, thereby achieving early prediction and proactive protection of safety hazards.

[0017] The real-time 3D rendering module dynamically visualizes device status, environmental parameters, and alarm information in a 3D scene, supporting roaming, sectioning, layering, and location retrieval.

[0018] The cloud-based iterative optimization module continuously optimizes control strategies and early warning thresholds based on historical operating data, enabling continuous system evolution.

[0019] The digital twin modeling module supports automatic registration between BIM models and real-world points in the cloud, and can identify components such as walls, doors, windows, pipelines, and equipment and assign semantic tags to them, enabling automatic model updates and deviation detection.

[0020] The differences between the model collected periodically by the digital twin modeling module and the historical model include structural deformation, component offset, equipment position changes, and pipeline anomalies. The difference marking results are synchronized to the 3D real-time rendering module for visualization.

[0021] As a preferred embodiment of the intelligent three-dimensional visualization control system for buildings based on digital twins described in this invention, the three-dimensional real-time rendering module can display equipment start-up and shutdown, valve opening, temperature and humidity, energy consumption value and alarm location in real time in the form of color, flashing, highlighting and animation, so as to realize the visual control of what you see is what you get.

[0022] As a preferred embodiment of the intelligent three-dimensional visualization control system for buildings based on digital twins described in this invention, the intelligent linkage control module supports cross-system linkage: when a fire alarm occurs, it automatically locates the fire source in the three-dimensional scene, links the elevator to make an emergency landing, turns on emergency lighting, turns off the air conditioning, and pushes evacuation routes to achieve integrated safety and fire protection.

[0023] As a preferred embodiment of the intelligent 3D visualization control system for buildings based on digital twins described in this invention, the abnormality early warning and handling module adopts an AI time-series prediction algorithm to predict equipment failures, abnormal energy consumption, and environmental exceedances in advance, and automatically generates handling work orders and optimal maintenance paths in the 3D scene.

[0024] As a preferred embodiment of the intelligent 3D visualization control system for buildings based on digital twins described in this invention, the multi-source data fusion module can access device data from various different protocols, standardize the data format and location coordinates, connect the originally independent device data, and achieve centralized and unified management of all data.

[0025] As a preferred embodiment of the intelligent 3D visualization and control system for buildings based on digital twins described in this invention, the edge collaborative computing module can still independently complete data acquisition, 3D visualization, local control and alarm handling when the network is interrupted, and automatically synchronize the data to the cloud after the network is restored.

[0026] As a preferred embodiment of the intelligent 3D visualization management and control system for buildings based on digital twins as described in this invention, the 3D real-time rendering module supports simultaneous display on multiple terminals including PC, large screen, and mobile devices, and supports quick filtering and one-click positioning by floor, zone, and equipment type.

[0027] As a preferred embodiment of the intelligent 3D visualization control system for buildings based on digital twins as described in this invention, the cloud-based iterative optimization module continuously optimizes the linkage strategy through energy consumption analysis, equipment efficiency, response time, and alarm frequency to reduce energy consumption and improve operating efficiency.

[0028] As a preferred embodiment of the intelligent three-dimensional visualization control system for buildings based on digital twins described in this invention, the system supports virtual simulation and can simulate scenarios such as power outages, fires, and equipment failures in the digital twin to verify control schemes and generate emergency procedures.

[0029] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0030] 1. In this invention, through the Internet of Things sensing and acquisition module and the multi-source data fusion module, various types of data in the building can be collected and processed in a unified manner in real time, a standardized data base can be established, data silos can be eliminated, and data utilization efficiency can be improved. The digital twin modeling module can construct a 1:1 high-precision three-dimensional model, collect and update data on a regular basis and compare it with the benchmark model, and automatically mark differences such as structural deformation and component offset, so as to realize early prediction and proactive protection of safety hazards.

[0031] 2. In this invention, the 3D real-time rendering module dynamically displays the equipment status and alarm information in a 3D scene, supporting multi-terminal display and quick retrieval, making building management more intuitive and efficient. The intelligent linkage management module can uniformly control elevators, lighting, air conditioning, security, and fire protection equipment, realizing integrated security and fire protection linkage, improving the building's emergency response capabilities. The abnormal early warning and handling module can identify faults and risks in real time, and combine AI algorithms to predict them in advance, automatically generating work orders and maintenance paths, reducing reliance on manual labor.

[0032] 3. In this invention, the edge collaborative computing module completes calculations and command issuance locally, and can still operate normally when the network is interrupted. After the network is restored, the data is automatically synchronized to ensure the stability and reliability of the system. The cloud iterative optimization module continuously analyzes the operating data and continuously optimizes the control strategy and early warning threshold, making the system smarter with use, reducing energy consumption and improving operating efficiency. The system supports virtual simulation and can simulate scenarios such as power outages and fires to verify the control scheme and improve the building safety guarantee capability. Attached Figure Description

[0033] Figure 1 This is a schematic diagram of the process of the present invention;

[0034] Figure 2 This is a schematic diagram of IoT sensing and data acquisition according to the present invention;

[0035] Figure 3 This is a schematic diagram of digital twin modeling for the present invention;

[0036] Figure 4 This is a schematic diagram of the real-time 3D rendering of the present invention;

[0037] Figure 5 This is a schematic diagram of the intelligent linkage control system of the present invention;

[0038] Figure 6 This is a schematic diagram of the abnormal early warning and handling method of the present invention. Detailed Implementation

[0039] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.

[0040] This invention provides a building intelligent 3D visualization control system based on digital twins. It features an IoT sensing and acquisition module and a multi-source data fusion module that can collect and process various types of data within the building in real time, establish a standardized data foundation, eliminate data silos, and improve data utilization efficiency. The digital twin modeling module can construct a 1:1 high-precision 3D model, collect and update data periodically, and compare it with a benchmark model. It can automatically mark differences such as structural deformation and component offset, and achieve the advantages of early prediction and proactive protection of safety hazards.

[0041] Please see Figure 1-6 The intelligent 3D visualization control system for buildings based on digital twins includes an IoT sensing and acquisition module, a multi-source data fusion module, a digital twin modeling module, a 3D real-time rendering module, an intelligent linkage control module, an anomaly early warning and handling module, an edge collaborative computing module, and a cloud-based iterative optimization module. The IoT sensing and acquisition module collects real-time data on the building's internal environment, equipment operation, energy consumption, security monitoring, and personnel location. The multi-source data fusion module cleans, standardizes, and spatiotemporally aligns the collected heterogeneous data to establish a unified data foundation. The digital twin modeling module constructs a 1:1 high-precision digital twin of the building based on BIM, point cloud, and real-world data, achieving precise mapping between physical and digital spaces. The intelligent linkage control module performs unified closed-loop control of elevators, lighting, air conditioning, security, and fire protection equipment according to 3D scene interaction commands and preset rules.

[0042] The anomaly warning and handling module performs real-time identification, 3D positioning, and automatic dispatching of data exceeding limits, equipment failures, security intrusions, and fire alarms; the edge collaborative computing module completes real-time calculations and command issuance locally, reducing latency and supporting autonomous operation even when the network is down; through the IoT sensing and acquisition module and the multi-source data fusion module, various types of data within the building can be collected and processed in real time, establishing a standardized data foundation, eliminating data silos, and improving data utilization efficiency; the digital twin modeling module can construct a 1:1 high-precision 3D model, collect and update data periodically, and compare it with the benchmark model, automatically marking differences such as structural deformation and component offset, enabling early prediction and proactive protection of safety hazards.

[0043] The digital twin modeling module stores and records the baseline 3D model, continuously collects on-site data according to a preset cycle, and reconstructs the real-time 3D model. It performs precise comparative analysis of the real-time 3D model with the historical baseline 3D model, component by component and position by position. It automatically identifies and marks differences such as structural deformation, component offset, equipment displacement, and pipeline anomalies, tracks and records changes in differences throughout the process, and identifies potential safety risks in advance based on the degree of difference and the trend of change, enabling early prediction and proactive protection of safety hazards. The 3D real-time rendering module dynamically visualizes equipment status, environmental parameters, and alarm information in the 3D scene, supporting roaming, sectioning, layering, and location retrieval. The cloud-based iterative optimization module continuously optimizes control strategies and early warning thresholds based on historical operating data, enabling continuous system evolution. The digital twin modeling module supports automatic registration between the BIM model and the real-world site in the cloud, can identify components such as walls, doors, windows, pipelines, and equipment, and assign semantic tags to them, enabling automatic model updates and deviation detection. The differences between the model collected periodically by the digital twin modeling module and the historical model include structural deformation, component offset, equipment position changes, and pipeline anomalies. The difference marking results are synchronized to the 3D real-time rendering module for visualization.

[0044] The 3D real-time rendering module can display equipment start / stop, valve opening, temperature and humidity, energy consumption values, and alarm locations in real time using color, flashing, highlighting, and animation, achieving WYSIWYG visual control. The intelligent linkage control module supports cross-system linkage: when a fire alarm occurs, it automatically locates the fire source in the 3D scene, triggers elevator descent, turns on emergency lighting, turns off air conditioning, and pushes evacuation routes, achieving integrated safety and fire prevention. The anomaly early warning and handling module uses AI time-series prediction algorithms to predict equipment failures, abnormal energy consumption, and environmental exceedances in advance, and automatically generates handling work orders and optimal maintenance routes in the 3D scene. The multi-source data fusion module can access equipment data from various protocols, standardize the data format and location coordinates, and connect previously independent equipment data to achieve centralized and unified management of all data.

[0045] The edge collaborative computing module can still independently complete data acquisition, 3D visualization, local control, and alarm handling even when the network is interrupted, and automatically synchronize data to the cloud after the network is restored; the 3D real-time rendering module supports simultaneous display on multiple devices such as PC, large screen, and mobile devices, and supports quick filtering and one-click location by floor, zone, and equipment type; the cloud iterative optimization module continuously optimizes linkage strategies through energy consumption analysis, equipment efficiency, response time, and alarm frequency to reduce energy consumption and improve operating efficiency; the system supports virtual simulation and can simulate scenarios such as power outages, fires, and equipment failures in a digital twin to verify control solutions and generate emergency procedures.

[0046] The workflow of this invention is as follows: After the system is started, it uses the Internet of Things sensing and acquisition module as the data source to collect in real time the building's internal environmental parameters, equipment operating status, energy consumption data, security monitoring information, and personnel location data. All raw data is then uploaded to the multi-source data fusion module. The multi-source data fusion module cleans, filters, and standardizes heterogeneous data of different formats and sources, completes spatiotemporal alignment, establishes a unified data foundation, and provides accurate and reliable data support for subsequent management and control.

[0047] The digital twin modeling module, based on BIM models, point cloud data, and real-world information, constructs a 1:1 high-precision digital twin of a building, achieving accurate mapping between the physical building and the digital model. This module stores a baseline 3D model and continuously collects on-site data according to a preset cycle to reconstruct a real-time 3D model. It compares the real-time model with the baseline model component by component and position by position, automatically identifying and marking differences such as structural deformation, component offset, equipment displacement, and pipeline anomalies. It tracks the trend of changes throughout the process, identifies potential safety risks in advance, and achieves hazard prediction and protection.

[0048] The 3D real-time rendering module calls the digital twin model and the fused data to dynamically display the device's start / stop, temperature and humidity, energy consumption values ​​and alarm locations in the 3D scene in the form of color, highlighting, animation and other forms. It supports roaming, sectioning, layered viewing and one-click positioning. At the same time, it is displayed on PC, large screen and mobile terminal, which makes it convenient for managers to monitor intuitively.

[0049] During normal operation, the intelligent linkage control module controls elevators, lighting, air conditioning, security, and fire protection equipment in a unified manner according to the three-dimensional scene instructions and preset rules. When abnormal situations such as fire alarms occur, it automatically locates the fire source, triggers the elevator to land, turns on emergency lighting, turns off the air conditioning, and pushes evacuation routes. The abnormal early warning and handling module monitors data exceeding limits, equipment failures, security intrusions, etc. in real time, and uses AI time-series prediction algorithms to predict risks in advance, locates the alarm position in the three-dimensional scene, and automatically generates handling work orders and optimal maintenance routes.

[0050] The entire control process is handled locally by the edge collaborative computing module, which performs calculations, makes decisions, and issues commands, reducing response latency. Even when the network is interrupted, the system can still independently complete data collection, visualization, equipment control, and alarm handling. After the network is restored, the data is automatically synchronized to the cloud. The cloud iterative optimization module continuously receives historical operating data and optimizes control strategies and early warning thresholds through indicators such as energy consumption analysis, equipment efficiency, and response time. The updated parameters are then sent to the edge to enable continuous system evolution. In addition, the system can simulate scenarios such as power outages, fires, and equipment failures in a digital twin to conduct virtual simulations, verify control solutions, and improve emergency procedures, thereby comprehensively enhancing the level of intelligent building control.

[0051] Although the present invention has been described above with reference to embodiments, various modifications can be made and components can be replaced with equivalents without departing from the scope of the invention. In particular, as long as there is no structural conflict, the features in the disclosed embodiments can be combined with each other in any manner. The lack of an exhaustive description of these combinations in this specification is merely for the sake of brevity and resource conservation. Therefore, the present invention is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

Claims

1. A building intelligent three-dimensional visualization control system based on digital twins, characterized in that, It includes an IoT sensing and acquisition module, a multi-source data fusion module, a digital twin modeling module, a 3D real-time rendering module, an intelligent linkage control module, an anomaly early warning and handling module, an edge collaborative computing module, and a cloud-based iterative optimization module; The IoT sensing and acquisition module is used to collect real-time data on the building's internal environment, equipment operation, energy consumption, security monitoring, and personnel location. The multi-source data fusion module cleans, standardizes, and spatiotemporally aligns the collected heterogeneous data to establish a unified data foundation. The digital twin modeling module constructs a 1:1 high-precision digital twin of a building based on BIM, point cloud, and real-scene data, achieving precise mapping between physical space and digital space; The intelligent linkage control module performs unified closed-loop control of elevators, lighting, air conditioning, security, and fire protection equipment based on three-dimensional scene interaction commands and preset rules. The abnormal early warning and handling module can identify, locate, and automatically dispatch data violations, equipment failures, security intrusions, and fire alarms in real time. The edge collaborative computing module performs real-time calculations and command issuance locally, reducing latency and supporting autonomous operation even when the network is down.

2. The intelligent three-dimensional visualization control system for buildings based on digital twins according to claim 1, characterized in that, The digital twin modeling module stores and records the baseline 3D model, continuously collects on-site data and reconstructs the real-time 3D model according to a preset cycle, and performs precise comparative analysis between the real-time 3D model and the historical baseline 3D model on a component-by-component and position-by-position basis. It automatically identifies and marks differences such as structural deformation, component offset, equipment displacement, and pipeline anomalies, tracks and records the changes in differences throughout the process, and identifies potential safety risks in advance based on the degree of difference and the trend of change, so as to achieve early prediction and proactive protection of safety hazards. The real-time 3D rendering module dynamically visualizes device status, environmental parameters, and alarm information in a 3D scene, supporting roaming, sectioning, layering, and location retrieval. The cloud-based iterative optimization module continuously optimizes control strategies and early warning thresholds based on historical operating data, enabling continuous system evolution. The digital twin modeling module supports automatic registration between BIM models and real-world points in the cloud, and can identify components such as walls, doors, windows, pipelines, and equipment and assign semantic tags to them, enabling automatic model updates and deviation detection. The differences between the model collected periodically by the digital twin modeling module and the historical model include structural deformation, component offset, equipment position changes, and pipeline anomalies. The difference marking results are synchronized to the 3D real-time rendering module for visualization.

3. The intelligent three-dimensional visualization control system for buildings based on digital twins according to claim 2, characterized in that, The three-dimensional real-time rendering module can display equipment start-up and shutdown, valve opening, temperature and humidity, energy consumption value and alarm location in real time in the form of color, flashing, highlighting and animation, realizing WYSIWYG visual control.

4. The intelligent three-dimensional visualization control system for buildings based on digital twins according to claim 3, characterized in that, The intelligent linkage control module supports cross-system linkage: when a fire alarm occurs, it automatically locates the fire source in the three-dimensional scene, triggers the elevator to land, turns on emergency lighting, turns off the air conditioner, and pushes evacuation routes to achieve integrated safety and fire prevention.

5. The intelligent three-dimensional visualization control system for buildings based on digital twins according to claim 4, characterized in that, The anomaly warning and handling module uses an AI time-series prediction algorithm to predict equipment failures, abnormal energy consumption, and environmental exceedances in advance, and automatically generates handling work orders and optimal maintenance paths in a three-dimensional scene.

6. The intelligent three-dimensional visualization control system for buildings based on digital twins according to claim 5, characterized in that, The multi-source data fusion module can access device data with various protocols, standardize the data format and location coordinates, connect the originally independent device data, and achieve centralized and unified management of all data.

7. The intelligent three-dimensional visualization control system for buildings based on digital twins according to claim 6, characterized in that, The edge collaborative computing module can still independently complete data acquisition, 3D visualization, local control and alarm handling when the network is interrupted, and automatically synchronize the data to the cloud after the network is restored.

8. The intelligent three-dimensional visualization control system for buildings based on digital twins according to claim 7, characterized in that, The 3D real-time rendering module supports simultaneous display on multiple devices including PC, large screen, and mobile devices, and supports quick filtering and one-click location by floor, zone, and device type.

9. The intelligent three-dimensional visualization control system for buildings based on digital twins according to claim 8, characterized in that, The cloud-based iterative optimization module continuously optimizes the linkage strategy through energy consumption analysis, equipment efficiency, response time, and alarm frequency, thereby reducing energy consumption and improving operational efficiency.

10. The intelligent three-dimensional visualization control system for buildings based on digital twins according to claim 9, characterized in that, The system supports virtual simulation and can simulate scenarios such as power outages, fires, and equipment failures in a digital twin to verify control measures and generate emergency procedures.

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