Method for realizing city information model (CIM) system by using digital twinning technology

Abstract

The invention relates to a method for realizing a city information model (CIM) system by using a digital twinning technology. The method aims at solving the problems of data acquisition, analysis and simulation in city management and decision making. The sensor network and the Internet of Things technology are adopted, and data of all aspects of a city are collected in real time. Through data preprocessing and optimization, key indexes and features are extracted. Based on a digital twinning technology, a city information model is constructed. A physical system of an actual city corresponds to a digital model, and real-time data synchronization and simulation are achieved. Through the digital twinning technology, the urban operation state can be monitored and predicted in real time. The visual display and interaction functions of a city information model (CIM) system are realized. The method is mainly used for providing comprehensive data support and scientific basis for urban managers and decision makers. The method has important theoretical and practical significance, and provides a new thought and method for urban planning and sustainable development.

Description

Technical Field

[0001] The present invention relates to a method for realizing a city information model (CIM) system based on digital twin technology. Technical Background

[0002] Digital Twin is a concept that has emerged in the fields of manufacturing, urban planning, design, construction, operation and maintenance in recent years. It combines the physical world with the virtual world by collecting and processing a large amount of data, providing a new perspective and basis for decision-making. Digital twin technology can help people better understand the operating status of the system and improve the accuracy and efficiency of decision-making. City Information Modeling (CIM) is an extension of Building Information Modeling (BIM). CIM not only includes the design of buildings, but also city-level information such as urban infrastructure, transportation systems, and public service facilities. Through CIM, the city can be abstracted into a digital space that can be simulated, analyzed, and controlled, providing strong technical support for urban planning, management, and operation.

[0003] However, existing CIM systems have some problems in data processing, visualization, real-time updating, etc. For example, data processing is often limited to specific data sources and lacks flexibility; visualization often only provides a static, two-dimensional perspective and lacks immersion and interactivity; real-time updating often requires a lot of manpower for data verification and correction, which lacks efficiency. Summary of the invention

[0004] The purpose of the present invention is to relate to a method for realizing a city information model (CIM) system using digital twin technology. Based on digital twin technology, the method deeply integrates the physical entity and virtual model of the city, and realizes high-precision simulation and real-time monitoring of various information of the city. Through a distributed architecture and cloud computing platform, data collection, processing and storage are combined with dynamic comparison and analysis of virtual models, providing an important decision support tool for urban planning, management and operation. The following steps are involved: S1: Construct a virtual framework of the city information model (CIM). In this step, a virtual model including urban infrastructure, population distribution, transportation network and other elements needs to be established, namely the city information model (CIM). This model is used to accurately simulate the urban system and provide a benchmark for subsequent data collection and analysis. S2: Use digital twin technology to integrate with city data. In this step, the city’s data and parameters are input into the city information model (CIM). Using digital twin technology, the city’s physical entities are deeply integrated with the virtual model to achieve a high degree of restoration and simulation of the city system. S3: Collect and process various information about the city. In this step, various information about the city is collected using IoT technology, sensors, and other means, including but not limited to meteorological data, traffic flow, environmental pollution, etc. These data will be processed and stored through the cloud computing platform to provide a data basis for subsequent analysis and comparison. S4: Dynamic comparison and analysis with the virtual model. In this step, the collected city information is compared and analyzed with the virtual model in the city information model (CIM). By dynamically comparing the actual data with the model data, the status and change trend of the city can be monitored in real time, providing accurate information and decision support for decision makers. S5: Provide urban decision support functions. In this step, based on the city information model (CIM) and digital twin technology, the system can simulate and predict different urban scenarios and provide decision makers with comparison and evaluation of multiple options. The system can provide decision support functions in urban planning, management and operation to optimize resource utilization, enhance urban sustainable development capabilities, etc.

[0005] The beneficial effects of the present invention are as follows: the present invention provides a method for implementing a city information model (CIM) system based on digital twin technology, which realizes real-time monitoring, analysis and prediction of the city through a digital model, and provides a scientific basis for urban planning, management and decision-making. The method has the characteristics of high real-time, accuracy and reliability, and can comprehensively analyze multiple aspects of the city. The digital model modularly describes information on transportation, environment and the Internet of Things to better monitor and manage various aspects of the city. BRIEF DESCRIPTION OF THE DRAWINGS

[0006] Figure 1 This is a flowchart for the implementation of a city information model (CIM) system based on digital twin technology; DETAILED DESCRIPTION

[0007] The embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0008] The present invention provides a method for implementing a city information model (CIM) system based on digital twin technology, comprising the following steps: S1: Construct a virtual framework of the city information model (CIM). In this step, it is necessary to establish a virtual model including elements such as urban infrastructure, population distribution, and transportation network, namely the city information model (CIM). This model is used to accurately simulate the urban system and provide a benchmark for subsequent data collection and analysis. The CIM model is mainly generated after data collection. This module is responsible for collecting various data on urban operations, including but not limited to the specific data collection content as follows. Terrain model: Using data such as topographic maps and aerial images, a terrain model of the city is established through GIS, including information such as terrain height, slope, and mountains. Infrastructure model: Using data such as urban planning maps and architectural drawings, infrastructure models such as roads, bridges, tunnels, railways, electricity, and communications are established, including information such as location, shape, and specifications. Building model: Using data such as architectural drawings and real-life photos, a city building model is established, including information such as the location, shape, height, and building materials of the building. Traffic network model: Using traffic planning maps, actual traffic conditions data, etc., a traffic network model is established, including information such as roads, intersections, and traffic lights. Population distribution model: Use census data, community distribution data, etc. to build a city population distribution model, including information such as population density, age distribution, and occupational distribution. Urban socioeconomic model: Use urban economic statistics, business distribution data, etc. to build a city socioeconomic model, including information such as GDP, industrial structure, and consumption level. S2: Use digital twin technology to integrate with city data. In this step, the city's data and parameters are input into the city information model (CIM). Using digital twin technology, the city's physical entities and virtual models are deeply integrated to achieve a high degree of restoration and simulation of the city system. The main module is the data processing module: This module is responsible for preprocessing, analyzing and mining the collected data to extract valuable information. S3: Collect and process various information about the city. In this step, various information about the city is collected using IoT technology, sensors, and other means, including but not limited to meteorological data, traffic flow, environmental pollution, etc. These data will be processed and stored through the cloud computing platform to provide a data basis for subsequent analysis and comparison. The main modules are divided into digital twin modules: This module builds a city digital twin based on preprocessed and analyzed data to achieve the mapping between the physical world and the digital world of the city. S4: Dynamic comparison and analysis with the virtual model. In this step, the collected city information is compared and analyzed with the virtual model in the city information model (CIM). By dynamically comparing the actual data with the model data, the status and change trend of the city can be monitored in real time, providing accurate information and decision support for decision makers. The main module is the decision module: This module makes city resource allocation and scheduling decisions based on the information provided by the digital twin. S5: Provide urban decision support functions. In this step, based on the city information model (CIM) and digital twin technology, the system can simulate and predict different urban scenarios and provide decision makers with comparison and evaluation of multiple options. The system can provide decision support functions in urban planning, management and operation to optimize resource utilization, enhance the city's sustainable development capabilities, etc. The main module is the control module: This module intelligently controls urban operations based on decision results, including but not limited to traffic signal control, public facility monitoring, etc.

[0009] The working principle and process of the present invention are as follows: A city information model (CIM) system based on digital twin technology of the present invention realizes intelligent processing of urban information mainly through data collection, collation, modeling, management, optimization, analysis and other links, improves the efficiency and accuracy of urban planning management, and provides scientific support for sustainable urban development.

[0010] The specific working principle and process are as follows: Use a variety of sensors and data sources to collect information on various aspects of the city, including but not limited to the design, construction, and operation data of buildings, transportation, public facilities, etc. At the same time, use cloud computing and big data technology to clean, integrate, and analyze the data to extract useful information. Based on the processed data, use modeling technology to build a model of the city. The model not only includes the appearance and internal structure of the building, but also the layout and operation status of the city's infrastructure, transportation system, public service facilities, etc. The city model is presented to the user through visualization technology and virtual reality technology. Users can view, operate, and control it through a variety of devices (such as PCs, mobile phones, VR glasses, etc.). At the same time, it provides a variety of interactive methods, such as roaming, zooming, rotating, querying, etc., so that users can have a deep understanding of the city's operating status. Through the Internet of Things technology, the city's operating status is monitored in real time, including but not limited to traffic flow, air quality, and the use of public facilities. When these data change, the system will automatically update the city model to reflect the real-time status of the city. At the same time, the system can also automatically optimize the model and data processing methods based on user feedback and system operation to improve the performance and accuracy of the system.

[0011] The beneficial effects of the present invention are as follows: it combines digital twin technology and CIM, closely integrates the physical city with the digital city, and provides a comprehensive, real-time, and interactive urban information model. This can not only help governments and enterprises better understand the operating status of the city, but also provide them with decision-making support and optimize the processes of urban planning, management, and operation. In addition, the present invention has strong flexibility and scalability, can adapt to cities of different sizes and types, and has strong practical value. Through digital twin technology, the mapping of the physical world and the digital world of the city is realized, the operating status of the city can be monitored in real time, the optimal urban resource allocation and scheduling decisions can be made, and the efficiency and intelligence level of urban management can be improved.

[0012] The present invention provides a city intelligent management system based on digital twins, which realizes the mapping of the city's physical world and digital world through digital twin technology, and improves the efficiency and intelligence level of city management. The technical solution of the present invention includes modules such as data acquisition, data processing, digital twins, decision-making and control. The present invention has broad application prospects and market value.

[0013]

Implementation Case

Claims

1. The purpose of the present invention is to provide a method for implementing a city information model (CIM) system using digital twin technology. It is characterized by: The following steps are involved: S1: Constructing a virtual framework of a city information model (CIM). Further comprising: configuring hardware equipment of a city information model (CIM) system, including city information collection equipment, Internet of Things sensors and a cloud computing platform system. According to the system, wherein, The data collection module is responsible for collecting various data on urban operations, including but not limited to traffic flow data, population distribution data, environmental monitoring data, etc. S2: Use digital twin technology to integrate with actual city data. In this step, the data and parameters of the actual city are input into the city information model (CIM). By using digital twin technology, the physical entity of the city is deeply integrated with the virtual model to achieve a high degree of restoration and simulation of the actual urban system. Further including: developing a virtual framework of the city information model (CIM) and an application algorithm of the digital twin technology, according to the system of claim, wherein the data processing module is responsible for preprocessing, analyzing and mining the collected data to extract valuable information. S3: Collect and process various information about the city. In this step, various information about the city is collected using IoT technology, sensors, and other means, including but not limited to meteorological data, traffic flow, environmental pollution, etc. These data will be processed and stored through the cloud computing platform to provide a data basis for subsequent analysis and comparison. Further including: developing a virtual framework of the city information model (CIM) and a data processing module for the application algorithm combination of digital twin technology. The system according to claim 1, wherein: The digital twin module constructs a city digital twin based on the preprocessed and analyzed data, realizing the mapping between the physical world and the digital world of the city. S4: Dynamic comparison and analysis with the virtual model. In this step, the collected city information is compared and analyzed with the virtual model in the city information model (CIM). By dynamically comparing the actual data with the model data, the status and change trend of the city can be monitored in real time, providing accurate information and decision support for decision makers. According to the method of claim 1, the decision module makes city resource allocation and scheduling decisions based on the information provided by the digital twin. Further comprising: Design the user interface and implementation logic of decision support functions. S5: Provide urban decision support functions. In this step, based on the city information model (CIM) and digital twin technology, the system can simulate and predict different urban scenarios and provide decision makers with comparison and evaluation of multiple options. The system can provide decision support functions in urban planning, management and operation to optimize resource utilization, enhance urban sustainable development capabilities, etc. According to the system described in the claim, the control module performs intelligent control of urban operations based on the decision results, including but not limited to traffic signal control, public facility monitoring, etc.

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