Virtual modeling method and system for intelligent buildings based on digital twins

Abstract

The present invention discloses a virtual modeling method and system for realizing intelligent buildings based on digital twins, and relates to the technical field of intelligent buildings. The method comprises: lightweight processing of a building information model corresponding to a target building, and integrating multiple subsystems with the building information model according to real-time operation data of a building database module to obtain a virtual three-dimensional simulation system; simulating and analyzing the performance of the virtual three-dimensional simulation system under different environmental conditions and operating conditions according to the real-time operation data of the building database module to optimize the configuration and operation strategy of the virtual three-dimensional simulation system; monitoring the virtual three-dimensional simulation system; controlling a network video monitoring system to perform all-round video recording of the target building according to a set trajectory; and executing a predictive maintenance strategy when the duration of a real-time system monitoring value exceeding a set value reaches a set time threshold.

Description

Technical Field

[0001] The present application relates to the field of intelligent building technology, and more specifically, to a virtual modeling method and system for realizing intelligent buildings based on digital twins. Background Art

[0002] In the modern construction industry, with the continuous advancement of science and technology, the industry is undergoing an unprecedented transformation. Traditional construction methods, which often rely on empiricism and manual operations, have obvious limitations in terms of efficiency, precision and sustainability. With the growth of the global population and the acceleration of urbanization, the demand for building efficiency is increasing, which has forced the construction industry to find new solutions to meet these challenges.

[0003] In the construction industry, the concept of smart buildings is gradually becoming mainstream, which involves the use of advanced information technology to improve the energy efficiency, comfort and sustainability of buildings. However, despite the many potential benefits of smart buildings, there are also a series of challenges and problems in the implementation process. For example, since smart buildings involve multiple technologies and equipment, the integration between different systems and equipment is an urgent problem to be solved.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] The embodiments of the present application provide a method and system for implementing virtual modeling in smart buildings based on digital twins to solve the above-mentioned technical problems.

[0006] This application provides a virtual modeling method for realizing intelligent buildings based on digital twins, including:

[0007] Lightweight processing is performed on the building information model corresponding to the target building, and multiple subsystems are integrated with the building information model according to the real-time operation data of the building database module to obtain a virtual three-dimensional simulation system; wherein the building database module is used to store and process the data from the multiple subsystems;

[0008] According to the real-time operation data of the building database module, the performance of the virtual three-dimensional simulation system under different environmental conditions and operating conditions is simulated and analyzed to optimize the configuration and operation strategy of the virtual three-dimensional simulation system;

[0009] monitoring the virtual three-dimensional simulation system; and when the real-time system monitoring value exceeds the set value, the network video monitoring system included in the multiple subsystems is linked to issue an alarm, and control the network video monitoring system to record the target building in all directions according to the set trajectory;

[0010] When the duration of the real-time system monitoring value exceeding the set value reaches a set time threshold, a predictive maintenance strategy is executed.

[0011] Furthermore, the performance of the virtual three-dimensional simulation system under different environmental conditions and operating conditions is simulated and analyzed according to the real-time operation data of the building database module to optimize the configuration and operation strategy of the virtual three-dimensional simulation system, including:

[0012] According to the real-time operation data of the building database module, the performance of the virtual three-dimensional simulation system under different environmental conditions and operating conditions is simulated and analyzed to obtain the performance data of the virtual three-dimensional simulation system under different environmental conditions and operating conditions; wherein the performance data of the virtual three-dimensional simulation system includes the geometric structure data, physical property data, sensor data, engineering progress data, subsystem coordination data and user operation logic data of the target building;

[0013] Analyzing the performance data of the virtual three-dimensional simulation system using high-performance computing and data analysis algorithms to identify energy consumption characteristics and potential risks of the virtual three-dimensional simulation system;

[0014] Based on the identified energy consumption characteristics and potential risk situations of the three-dimensional simulation system, the configuration and operation strategy of the virtual three-dimensional simulation system are optimized and adjusted through a genetic algorithm.

[0015] Furthermore, the multiple subsystems include fire protection and fire alarm linkage system, entrance and exit control system, the network video monitoring system, anti-reporting and storage and perimeter protection system, clearing, defense, reporting and storage linkage system, electronic patrol system, building environment monitoring system, intelligent lighting monitoring system and integrated wiring system.

[0016] The present application provides a virtual modeling system for realizing intelligent buildings based on digital twins, including a three-dimensional visualization engine, a digital twin module, an abnormality monitoring module, a predictive maintenance module, and a building database module; wherein,

[0017] The three-dimensional visualization engine is used to perform lightweight processing on the building information model corresponding to the target building, and integrate multiple subsystems with the building information model according to the real-time operation data of the building database module to obtain a virtual three-dimensional simulation system;

[0018] The digital twin module is used to simulate and analyze the performance of the virtual three-dimensional simulation system under different environmental conditions and operating conditions according to the real-time operation data of the building database module, so as to optimize the configuration and operation strategy of the virtual three-dimensional simulation system;

[0019] The abnormal monitoring module is used to monitor the virtual three-dimensional simulation system; and when the real-time system monitoring value exceeds the set value, the network video monitoring system included in the multiple subsystems is linked to issue an alarm, and control the network video monitoring system to record the target building in all directions according to the set trajectory;

[0020] The predictive maintenance module is used to execute a predictive maintenance strategy when the duration of the real-time system monitoring value exceeding the set value reaches a set time threshold;

[0021] The building database module is used to store and process data from the multiple subsystems.

[0022] Furthermore, the building information model corresponding to the target building covers the entire life cycle of the target building; wherein the entire life cycle includes the design phase of the target building, the construction phase of the target building, and the operation and maintenance phase of the target building.

[0023] Furthermore, the three-dimensional visualization engine is also used for:

[0024] After lightweight processing is performed on the building information model corresponding to the target building and multiple subsystems are integrated with the building information model according to the real-time operation data of the building database module to obtain a virtual three-dimensional simulation system, the real-time operation status of the virtual three-dimensional simulation system is monitored and analyzed, and multi-layer three-dimensional rendering is performed according to the monitoring and analysis data.

[0025] Furthermore, the digital twin module simulates and analyzes the performance of the virtual three-dimensional simulation system under different environmental conditions and operating conditions according to the real-time operation data of the building database module to optimize the configuration and operation strategy of the virtual three-dimensional simulation system, and is configured as follows:

[0026] According to the real-time operation data of the building database module, the performance of the virtual three-dimensional simulation system under different environmental conditions and operating conditions is simulated and analyzed to obtain the performance data of the virtual three-dimensional simulation system under different environmental conditions and operating conditions; wherein the performance data of the virtual three-dimensional simulation system includes the geometric structure data, physical property data, sensor data, engineering progress data, subsystem coordination data and user operation logic data of the target building;

[0027] Analyzing the performance data of the virtual three-dimensional simulation system using high-performance computing and data analysis algorithms to identify energy consumption characteristics and potential risks of the virtual three-dimensional simulation system;

[0028] Based on the identified energy consumption characteristics and potential risk situations of the three-dimensional simulation system, the configuration and operation strategy of the virtual three-dimensional simulation system are optimized and adjusted through a genetic algorithm.

[0029] Furthermore, the performance data of the virtual three-dimensional simulation system is analyzed using high-performance computing and data analysis algorithms to identify energy consumption characteristics and potential risks of the virtual three-dimensional simulation system, including:

[0030] Analyzing the energy consumption characteristics of the virtual three-dimensional simulation system through a nonlinear regression model according to the energy consumption data included in the performance data of the virtual three-dimensional simulation system;

[0031] Based on the operating data included in the performance data of the virtual three-dimensional simulation system, potential risk situations are evaluated through a Bayesian network.

[0032] Furthermore, the building information model corresponding to the target building includes:

[0033] An integrated design tool for designing and optimizing a building information model corresponding to the target building;

[0034] A construction management module, used to monitor and manage the construction process of the building information model corresponding to the target building;

[0035] The debugging and maintenance module is used for testing, integrated linkage, and visual joint debugging.

[0036] Furthermore, the predictive maintenance strategy includes an environmental adjustment strategy, an equipment self-diagnosis strategy, and a resource reallocation strategy;

[0037] The multiple subsystems include fire protection and fire alarm linkage system, entrance and exit control system, network video monitoring system, anti-reporting and storage and perimeter protection system, clearing and fire prevention reporting and storage linkage system, electronic patrol system, building environment monitoring system, intelligent lighting monitoring system and integrated wiring system.

[0038] Based on the embodiment provided by the present application, the building information model corresponding to the target building is lightweight processed, and according to the real-time operation data of the building database module, multiple subsystems are integrated with the building information model to obtain a virtual three-dimensional simulation system; wherein the building database module is used to store and process data from multiple subsystems; according to the real-time operation data of the building database module, the performance of the virtual three-dimensional simulation system under different environmental conditions and operating conditions is simulated and analyzed to optimize the configuration and operation strategy of the virtual three-dimensional simulation system; the virtual three-dimensional simulation system is monitored; and when the real-time system monitoring value exceeds the set value, the network video monitoring system included in the multiple subsystems is linked to issue an alarm, and the network video monitoring system is controlled to record the target building in all directions according to the set trajectory; when the real-time system monitoring value exceeds the set value for a duration that reaches a set time threshold, a predictive maintenance strategy is executed. Thus, an integrated, automated and intelligent solution is provided to improve the performance, safety, energy efficiency and sustainability of smart buildings, while also reducing maintenance costs and improving the comfort of residents.

[0039] Specifically, it has the following beneficial effects: lightweight processing and integrated subsystems improve the availability and access speed of building information models, allowing designers and engineers to simulate and analyze more quickly; by integrating multiple subsystems, unified data management and real-time updating are achieved, enhancing the system's ability to work together; the virtual three-dimensional simulation system provides a comprehensive, visual interactive platform for intelligent buildings, which helps to better understand and predict the performance of buildings; the building database module is used to store and process data from multiple subsystems; based on the real-time operating data of the building database module, the performance of the virtual three-dimensional simulation system under different environmental conditions and operating conditions is simulated and analyzed to optimize the configuration and operation strategy of the virtual three-dimensional simulation system; through simulation analysis, the performance of the building under different environmental conditions can be predicted, so that corresponding adjustments can be made in advance to improve the building's energy efficiency and environmental adaptability; the building's operation strategy is optimized and energy waste is reduced , improving the sustainability of the building; monitoring the virtual 3D simulation system; and when the real-time system monitoring value exceeds the set value, the network video surveillance system including multiple subsystems will be linked to issue an alarm, and the network video surveillance system will be controlled to record the target building in all directions according to the set trajectory; through real-time monitoring and automatic alarm systems, potential safety issues can be responded to quickly; the all-round recording function provides detailed on-site information for accident analysis and post-processing, which helps to improve the efficiency and accuracy of accident handling; the building's automated management capabilities are enhanced, and by linking multiple subsystems, rapid response and adjustment to the building environment are achieved; through predictive maintenance, potential equipment problems can be identified and repaired in advance, reducing unexpected downtime and maintenance costs; the service life of building equipment is extended, and the optimal performance of equipment is maintained through regular maintenance and optimization; the overall reliability and stability of the building are improved, and the impact of sudden failures on building operations is reduced through predictive maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The drawings described herein are used to provide a further understanding of the embodiments of the present invention and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0041] Figure 1 It is a flowchart of an optional method for implementing virtual modeling of intelligent buildings based on digital twins according to an embodiment of the present application;

[0042] Figure 2 This is a structural diagram of an optional virtual modeling system for smart buildings based on digital twins according to an embodiment of the present application.

[0043] 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

[0044] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0045] Alternatively, if Figure 1 As shown, the present application provides a virtual modeling method for realizing intelligent buildings based on digital twins, including:

[0046] S101, lightweight processing is performed on a building information model corresponding to a target building, and multiple subsystems are integrated with the building information model according to real-time operation data of a building database module to obtain a virtual three-dimensional simulation system; wherein the building database module is used to store and process data from multiple subsystems;

[0047] S102, based on the real-time operation data of the building database module, simulate and analyze the performance of the virtual three-dimensional simulation system under different environmental conditions and operating conditions to optimize the configuration and operation strategy of the virtual three-dimensional simulation system;

[0048] S103, monitoring the virtual three-dimensional simulation system; and when the real-time system monitoring value exceeds the set value, the network video monitoring system including the multiple subsystems is linked to issue an alarm, and the network video monitoring system is controlled to record the target building in all directions according to the set trajectory;

[0049] S104: When the duration of the real-time system monitoring value exceeding the set value reaches a set time threshold, a predictive maintenance strategy is executed.

[0050] Based on the embodiment provided by the present application, the building information model corresponding to the target building is lightweight processed, and according to the real-time operation data of the building database module, multiple subsystems are integrated with the building information model to obtain a virtual three-dimensional simulation system; wherein the building database module is used to store and process data from multiple subsystems; according to the real-time operation data of the building database module, the performance of the virtual three-dimensional simulation system under different environmental conditions and operating conditions is simulated and analyzed to optimize the configuration and operation strategy of the virtual three-dimensional simulation system; the virtual three-dimensional simulation system is monitored; and when the real-time system monitoring value exceeds the set value, the network video monitoring system included in the multiple subsystems is linked to issue an alarm, and the network video monitoring system is controlled to record the target building in all directions according to the set trajectory; when the real-time system monitoring value exceeds the set value for a duration that reaches a set time threshold, a predictive maintenance strategy is executed. Thus, an integrated, automated and intelligent solution is provided to improve the performance, safety, energy efficiency and sustainability of smart buildings, while also reducing maintenance costs and improving the comfort of residents.

[0051] Specifically, it has the following beneficial effects: lightweight processing and integrated subsystems improve the availability and access speed of building information models, allowing designers and engineers to simulate and analyze more quickly; by integrating multiple subsystems, unified data management and real-time updating are achieved, enhancing the system's ability to work together; the virtual three-dimensional simulation system provides a comprehensive, visual interactive platform for intelligent buildings, which helps to better understand and predict the performance of buildings; the building database module is used to store and process data from multiple subsystems; based on the real-time operating data of the building database module, the performance of the virtual three-dimensional simulation system under different environmental conditions and operating conditions is simulated and analyzed to optimize the configuration and operation strategy of the virtual three-dimensional simulation system; through simulation analysis, the performance of the building under different environmental conditions can be predicted, so that corresponding adjustments can be made in advance to improve the building's energy efficiency and environmental adaptability; the building's operation strategy is optimized and energy waste is reduced , improving the sustainability of the building; monitoring the virtual 3D simulation system; and when the real-time system monitoring value exceeds the set value, the network video surveillance system including multiple subsystems will be linked to issue an alarm, and the network video surveillance system will be controlled to record the target building in all directions according to the set trajectory; through real-time monitoring and automatic alarm systems, potential safety issues can be responded to quickly; the all-round recording function provides detailed on-site information for accident analysis and post-processing, which helps to improve the efficiency and accuracy of accident handling; the building's automated management capabilities are enhanced, and by linking multiple subsystems, rapid response and adjustment to the building environment are achieved; through predictive maintenance, potential equipment problems can be identified and repaired in advance, reducing unexpected downtime and maintenance costs; the service life of building equipment is extended, and the optimal performance of equipment is maintained through regular maintenance and optimization; the overall reliability and stability of the building are improved, and the impact of sudden failures on building operations is reduced through predictive maintenance.

[0052] Furthermore, based on the real-time operation data of the building database module, the performance of the virtual 3D simulation system under different environmental conditions and operating conditions is simulated and analyzed to optimize the configuration and operation strategy of the virtual 3D simulation system, including:

[0053] According to the real-time operation data of the building database module, the performance of the virtual three-dimensional simulation system under different environmental conditions and operating conditions is simulated and analyzed to obtain the performance data of the virtual three-dimensional simulation system under different environmental conditions and operating conditions; wherein, the performance data of the virtual three-dimensional simulation system includes the geometric structure data, physical property data, sensor data, engineering progress input data, subsystem coordination data and user operation logic data of the target building;

[0054] Use high-performance computing and data analysis algorithms to analyze the performance data of the virtual 3D simulation system to identify the energy consumption characteristics and potential risks of the virtual 3D simulation system;

[0055] Based on the identified energy consumption characteristics and potential risks of the three-dimensional simulation system, the configuration and operation strategy of the virtual three-dimensional simulation system are optimized and adjusted through genetic algorithms.

[0056] In some embodiments of the present application, environmental conditions may include but are not limited to climatic conditions, lighting conditions and geological conditions. Among them, climatic conditions may include but are not limited to temperature, humidity, wind speed, precipitation, etc., which may affect the energy consumption and comfort of the building. For example, high temperature may increase the cooling load, and wind speed may affect the natural ventilation effect. Lighting conditions may include but are not limited to simulated sunshine duration, intensity and angle, which may affect the energy consumption and indoor environmental quality of the building. Geological conditions may affect the foundation design and stability of the building.

[0057] In some embodiments of the present application, operating conditions may include, but are not limited to, building usage patterns, equipment operating status, and behavior patterns of building users. The building usage patterns correspond to different usage scenarios inside the building, including office, residential, commercial, etc. Different usage scenarios have an impact on the energy demand and internal environment of the building. The equipment operating status includes the operating specifications and efficiency of various equipment inside the building, wherein the various equipment inside the building includes an HVAC system and a lighting system. The HVAC system represents a heating, ventilation, and air conditioning system. The main function of the HVAC system is to control the temperature, humidity, air circulation, and air filtration in the environment to ensure the comfort of the indoor environment and the normal operation of the equipment. The behavior patterns of building users may include, but are not limited to, the behavior patterns of building users, such as opening and closing doors and windows, using electrical appliances, etc. These behaviors will affect the actual energy consumption of the building.

[0058] Agent-based modeling (also known as ABM) is a simulation technique that simulates complex systems by creating agents that represent the behavior of entities. In the field of buildings, this approach can be used in conjunction with a variety of energy consumption simulation software to simulate the performance of buildings under different environmental conditions and operating conditions. The various energy consumption simulation software may include but is not limited to EnergyPlus, Trane TRACE, Carrier HAP and IES VE. These software can simulate and analyze the performance of virtual three-dimensional simulation systems under different environmental conditions and operating conditions. Specifically, real-time operating data can be obtained through the building database module to simulate the performance of buildings under different environmental and operating conditions. Through this simulation analysis, we can obtain performance data of the target building under various conditions, so as to gain a deep understanding and optimization of the energy efficiency and overall performance of the building. This approach not only helps performance prediction in the design stage, but also provides continuous performance monitoring and improvement during building operation.

[0059] In some embodiments of the present application, high-performance computing and data analysis algorithms are used to analyze the performance data of the virtual three-dimensional simulation system to identify the energy consumption characteristics and potential risk situations of the virtual three-dimensional simulation system, including the identification of the energy consumption characteristics of the virtual three-dimensional simulation system and the identification of potential risk situations of the virtual three-dimensional simulation system.

[0060] The process of identifying the energy consumption characteristics of the virtual three-dimensional simulation system can include the following steps:

[0061] Data preprocessing:

[0062] The Apache Spark computing framework is used to process the performance data of the virtual 3D simulation system to achieve parallel processing and analysis of data. The adaptive threshold algorithm is used to identify and remove outliers based on the distribution of the performance data of the virtual 3D simulation system. For missing values, a graph-based interpolation method is used to construct a graph between data points and fill in missing values ​​using the graph structure.

[0063] Feature recognition:

[0064] The preprocessed data is analyzed at multiple scales using wavelet transform to extract features at different frequencies and capture short-term and long-term energy consumption patterns. A reference feature set is constructed by combining time series feature extraction, such as seasonality and trend.

[0065] Identification of energy consumption characteristics:

[0066] The fuzzy C-means clustering algorithm is combined with the spectral clustering algorithm. The fuzzy C-means clustering algorithm is first used to perform preliminary clustering on the reference feature set, and then the spectral clustering is used to optimize the clustering results and identify the energy consumption characteristics. The adaptive cluster number selection algorithm is used to dynamically determine the number of clusters to avoid the limitations of manual settings.

[0067] In some embodiments of the present application, a dynamic visualization platform can be constructed to display energy consumption data, prediction results and risk analysis results in real time; a graphic database is used to store and query energy consumption data, and graphic visualization tools are used to display complex energy consumption relationships and patterns.

[0068] The Monte Carlo simulation method can be combined with complex networks and random walk algorithms to identify potential risks of virtual three-dimensional simulation systems, including the following steps:

[0069] Clean and preprocess the target building's geometric structure data, physical attribute data, sensor data, engineering progress data, subsystem coordination data, and user operation logic data, including missing value processing, outlier removal, data normalization, etc.;

[0070] Identify potential risk factors that affect building performance, such as material aging, equipment failure, environmental changes, etc.; define probability distribution models for each risk factor, which will be used to generate random variables in Monte Carlo simulations;

[0071] Establish a simulation network that matches the virtual three-dimensional simulation system; wherein the simulation network includes multiple nodes and multiple edges; each node is used to represent a key component of a subsystem or a target building, and the key components include structural elements, equipment, sensors, etc.; multiple edges are used to represent the interaction and dependency between nodes;

[0072] Determine the attributes of nodes and the connection weights between nodes based on the building information model corresponding to the target building and the performance data of the virtual 3D simulation system under different environmental conditions and operating conditions;

[0073] Monte Carlo simulation is performed on each risk factor to generate multiple possible risk events and outcomes;

[0074] For each simulation scenario, evaluate how the risk propagates in the building system, including: applying the random walk algorithm to simulate the propagation of risk in a complex network; random walk can simulate how the risk propagates from one node to another, reflecting the risk propagation path and potential amplification effect in the building system; through iterative calculation, determine the risk propagation pattern and final distribution in the network under different combinations of risk factors;

[0075] Evaluate the results of Monte Carlo simulation and random walk algorithm to identify potential high-risk areas and critical vulnerabilities; calculate the probability of risk factors affecting building performance and the expected value of potential losses;

[0076] The analysis results are displayed through data visualization technology, such as network diagrams, heat maps, risk matrices, etc., to help decision makers understand potential risks and formulate response strategies; provide risk management recommendations, including preventive measures, emergency plans and optimized operation strategies.

[0077] In some embodiments of the present application, based on the identified energy consumption characteristics and potential risk conditions of the three-dimensional simulation system, optimizing and adjusting the configuration and operation strategy of the virtual three-dimensional simulation system through a genetic algorithm includes:

[0078] Analyze simulation results using statistical methods to determine the significance and impact of risk factors; identify risk mitigation measures and optimization strategies to reduce the impact of potential risks on building performance;

[0079] The Sobol sequence is used to perform global sensitivity analysis, identify key factors affecting energy consumption, and quantify the contribution of each factor to energy consumption. Genetic algorithms are used for optimization to adjust the configuration and operation strategy of the virtual three-dimensional simulation system based on the identified key factors to optimize energy consumption performance.

[0080] Among them, the selection formula of the genetic algorithm is: S'=S×β+γ×N(0,1); S' represents the adjusted strategy; S represents the current strategy; β represents the retention ratio; γ represents the mutation intensity; N(0,1) represents the random disturbance of the standard normal distribution.

[0081] Furthermore, multiple subsystems include fire protection and fire alarm linkage system, entrance and exit control system, network video monitoring system, anti-reporting and storage and perimeter protection system, clearing and fire prevention reporting and storage linkage system, electronic patrol system, building environment monitoring system, intelligent lighting monitoring system and integrated wiring system.

[0082] Alternatively, if Figure 2 As shown, the present application provides a virtual modeling system for realizing intelligent buildings based on digital twins, including a three-dimensional visualization engine 201, a digital twin module 202, an abnormality monitoring module 203, a predictive maintenance module 204, and a building database module 205; wherein,

[0083] The three-dimensional visualization engine 201 is used to perform lightweight processing on the building information model corresponding to the target building, and integrate multiple subsystems with the building information model according to the real-time operation data of the building database module 205 to obtain a virtual three-dimensional simulation system;

[0084] The digital twin module 202 is used to simulate and analyze the performance of the virtual three-dimensional simulation system under different environmental conditions and operating conditions according to the real-time operation data of the building database module 205, so as to optimize the configuration and operation strategy of the virtual three-dimensional simulation system;

[0085] The abnormal monitoring module 203 is used to monitor the virtual three-dimensional simulation system; and when the real-time system monitoring value exceeds the set value, the network video monitoring system included in the multiple subsystems is linked to issue an alarm, and control the network video monitoring system to record the target building in all directions according to the set trajectory;

[0086] A predictive maintenance module 204 is used to execute a predictive maintenance strategy when the duration of the real-time system monitoring value exceeding the set value reaches a set time threshold;

[0087] The building database module 205 is used to store and process data from multiple subsystems.

[0088] Furthermore, the building information model corresponding to the target building covers the entire life cycle of the target building; wherein the entire life cycle includes the design phase of the target building, the construction phase of the target building, and the operation and maintenance phase of the target building.

[0089] Furthermore, the 3D visualization engine is also used to:

[0090] After lightweight processing of the building information model corresponding to the target building and integration of multiple subsystems with the building information model according to the real-time operation data of the building database module to obtain a virtual three-dimensional simulation system, the real-time operation status of the virtual three-dimensional simulation system is monitored and analyzed, and multi-layer three-dimensional rendering is performed based on the monitoring and analysis data.

[0091] Furthermore, the digital twin module simulates and analyzes the performance of the virtual three-dimensional simulation system under different environmental conditions and operating conditions based on the real-time operation data of the building database module to optimize the configuration and operation strategy of the virtual three-dimensional simulation system, and is configured as follows:

[0092] According to the real-time operation data of the building database module, the performance of the virtual three-dimensional simulation system under different environmental conditions and operating conditions is simulated and analyzed to obtain the performance data of the virtual three-dimensional simulation system under different environmental conditions and operating conditions; wherein, the performance data of the virtual three-dimensional simulation system includes the geometric structure data, physical property data, sensor data, engineering progress input data, subsystem coordination data and user operation logic data of the target building;

[0093] Use high-performance computing and data analysis algorithms to analyze the performance data of the virtual 3D simulation system to identify the energy consumption characteristics and potential risks of the virtual 3D simulation system;

[0094] Based on the identified energy consumption characteristics and potential risks of the three-dimensional simulation system, the configuration and operation strategy of the virtual three-dimensional simulation system are optimized and adjusted through a genetic algorithm; the selection formula of the genetic algorithm is: S'=S×β+γ×N(0,1); S' represents the adjusted strategy; S represents the current strategy; β represents the retention ratio; γ represents the mutation intensity; N(0,1) represents the random disturbance of the standard normal distribution.

[0095] Furthermore, the performance data of the virtual 3D simulation system is analyzed using high-performance computing and data analysis algorithms to identify the energy consumption characteristics and potential risks of the virtual 3D simulation system, including:

[0096] According to the energy consumption data included in the performance data of the virtual three-dimensional simulation system, the energy consumption characteristics of the virtual three-dimensional simulation system are analyzed through a nonlinear regression model;

[0097] According to the operation data included in the performance data of the virtual three-dimensional simulation system, the potential risk situation is evaluated through the Bayesian network; the risk situation evaluation formula is: R represents the risk probability; P(F) represents the prior probability of failure; P(F|E) represents the probability of evidence under given failure conditions; and P(E) represents the total probability of evidence.

[0098] Furthermore, the building information model corresponding to the target building includes:

[0099] Integrated design tools for designing and optimizing the building information model corresponding to the target building;

[0100] The construction management module is used to monitor and manage the construction process of the building information model corresponding to the target building;

[0101] The debugging and maintenance module is used for testing, integrated linkage, and visual joint debugging.

[0102] Furthermore, predictive maintenance strategies include environmental adjustment strategies, equipment self-diagnosis strategies, and resource reallocation strategies;

[0103] Multiple subsystems include fire protection and fire alarm linkage system, access control system, network video monitoring system, anti-fire and perimeter protection system, clearing, fire prevention and alarm linkage system, electronic patrol system, building environment monitoring system, intelligent lighting monitoring system and integrated wiring system.

[0104] It should be noted that in the present application, the embodiments implemented on the virtual modeling system side for realizing intelligent buildings based on digital twins can be referenced with the embodiments implemented on the virtual modeling method side for realizing intelligent buildings based on digital twins, and this application will not go into details one by one.

[0105] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A virtual modeling method for intelligent buildings based on digital twins, characterized in that: include: Lightweight processing is performed on the building information model corresponding to the target building, and multiple subsystems are integrated with the building information model according to the real-time operation data of the building database module to obtain a virtual three-dimensional simulation system; wherein the building database module is used to store and process the data from the multiple subsystems; According to the real-time operation data of the building database module, the performance of the virtual three-dimensional simulation system under different environmental conditions and operating conditions is simulated and analyzed to optimize the configuration and operation strategy of the virtual three-dimensional simulation system; monitoring the virtual three-dimensional simulation system; and when the real-time system monitoring value exceeds the set value, the network video monitoring system included in the multiple subsystems is linked to issue an alarm, and control the network video monitoring system to record the target building in all directions according to the set trajectory; When the duration of the real-time system monitoring value exceeding the set value reaches a set time threshold, a predictive maintenance strategy is executed.

2. The virtual modeling method for realizing intelligent buildings based on digital twins according to claim 1 is characterized in that: The method of simulating and analyzing the performance of the virtual three-dimensional simulation system under different environmental conditions and operating conditions according to the real-time operation data of the building database module to optimize the configuration and operation strategy of the virtual three-dimensional simulation system includes: According to the real-time operation data of the building database module, the performance of the virtual three-dimensional simulation system under different environmental conditions and operating conditions is simulated and analyzed to obtain the performance data of the virtual three-dimensional simulation system under different environmental conditions and operating conditions; wherein the performance data of the virtual three-dimensional simulation system includes the geometric structure data, physical property data, sensor data, engineering progress data, subsystem coordination data and user operation logic data of the target building; Analyzing the performance data of the virtual three-dimensional simulation system using high-performance computing and data analysis algorithms to identify energy consumption characteristics and potential risks of the virtual three-dimensional simulation system; Based on the identified energy consumption characteristics and potential risk situations of the three-dimensional simulation system, the configuration and operation strategy of the virtual three-dimensional simulation system are optimized and adjusted through a genetic algorithm.

3. The virtual modeling method for realizing intelligent buildings based on digital twins according to claim 1 is characterized in that: The multiple subsystems include fire protection and fire alarm linkage system, entrance and exit control system, network video monitoring system, anti-reporting and storage and perimeter protection system, clearing and fire prevention reporting and storage linkage system, electronic patrol system, building environment monitoring system, intelligent lighting monitoring system and integrated wiring system.

4. A virtual modeling system for realizing intelligent buildings based on digital twins, the system realizing the virtual modeling method for realizing intelligent buildings based on digital twins as claimed in claim 1, characterized in that: It includes 3D visualization engine, digital twin module, abnormal monitoring module, predictive maintenance module and building database module; among them, The three-dimensional visualization engine is used to perform lightweight processing on the building information model corresponding to the target building, and integrate multiple subsystems with the building information model according to the real-time operation data of the building database module to obtain a virtual three-dimensional simulation system; The digital twin module is used to simulate and analyze the performance of the virtual three-dimensional simulation system under different environmental conditions and operating conditions according to the real-time operation data of the building database module, so as to optimize the configuration and operation strategy of the virtual three-dimensional simulation system; The abnormal monitoring module is used to monitor the virtual three-dimensional simulation system; and when the real-time system monitoring value exceeds the set value, the network video monitoring system included in the multiple subsystems is linked to issue an alarm, and control the network video monitoring system to record the target building in all directions according to the set trajectory; The predictive maintenance module is used to execute a predictive maintenance strategy when the duration of the real-time system monitoring value exceeding the set value reaches a set time threshold; The building database module is used to store and process data from the multiple subsystems.

5. The virtual modeling system for realizing intelligent buildings based on digital twins according to claim 4 is characterized in that: The building information model corresponding to the target building covers the entire life cycle of the target building; wherein the entire life cycle includes the design phase of the target building, the construction phase of the target building, and the operation and maintenance phase of the target building.

6. The virtual modeling system for realizing intelligent buildings based on digital twins according to claim 5 is characterized in that: The three-dimensional visualization engine is also used for: After lightweight processing is performed on the building information model corresponding to the target building and multiple subsystems are integrated with the building information model according to the real-time operation data of the building database module to obtain a virtual three-dimensional simulation system, the real-time operation status of the virtual three-dimensional simulation system is monitored and analyzed, and multi-layer three-dimensional rendering is performed according to the monitoring and analysis data.

7. The virtual modeling system for realizing intelligent buildings based on digital twins according to claim 4 is characterized in that: The digital twin module simulates and analyzes the performance of the virtual three-dimensional simulation system under different environmental conditions and operating conditions according to the real-time operation data of the building database module to optimize the configuration and operation strategy of the virtual three-dimensional simulation system, and is configured as follows: According to the real-time operation data of the building database module, the performance of the virtual three-dimensional simulation system under different environmental conditions and operating conditions is simulated and analyzed to obtain the performance data of the virtual three-dimensional simulation system under different environmental conditions and operating conditions; wherein the performance data of the virtual three-dimensional simulation system includes the geometric structure data, physical property data, sensor data, engineering progress data, subsystem coordination data and user operation logic data of the target building; Analyzing the performance data of the virtual three-dimensional simulation system using high-performance computing and data analysis algorithms to identify energy consumption characteristics and potential risks of the virtual three-dimensional simulation system; Based on the identified energy consumption characteristics and potential risk situations of the three-dimensional simulation system, the configuration and operation strategy of the virtual three-dimensional simulation system are optimized and adjusted through a genetic algorithm.

8. The virtual modeling system for realizing intelligent buildings based on digital twins according to claim 7 is characterized in that: Using high-performance computing and data analysis algorithms, the performance data of the virtual three-dimensional simulation system is analyzed to identify the energy consumption characteristics and potential risks of the virtual three-dimensional simulation system, including: Analyzing the energy consumption characteristics of the virtual three-dimensional simulation system through a nonlinear regression model according to the energy consumption data included in the performance data of the virtual three-dimensional simulation system; Based on the operating data included in the performance data of the virtual three-dimensional simulation system, potential risk situations are evaluated through a Bayesian network.

9. The virtual modeling system for realizing intelligent buildings based on digital twins according to claim 4 is characterized in that: The building information model corresponding to the target building includes: An integrated design tool for designing and optimizing a building information model corresponding to the target building; A construction management module, used to monitor and manage the construction process of the building information model corresponding to the target building; The debugging and maintenance module is used for testing, integrated linkage, and visual joint debugging.

10. The virtual modeling system for realizing intelligent buildings based on digital twins according to claim 4, characterized in that: The predictive maintenance strategy includes an environmental adjustment strategy, an equipment self-diagnosis strategy, and a resource reallocation strategy; The multiple subsystems include fire protection and fire alarm linkage system, entrance and exit control system, network video monitoring system, anti-reporting and storage and perimeter protection system, clearing and fire prevention reporting and storage linkage system, electronic patrol system, building environment monitoring system, intelligent lighting monitoring system and integrated wiring system.

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