In recent years, the word digital twin has been constantly appearing in the public eye, especially with the development of Internet of Things (IoT) technology, digital twins continue to appear in all walks of life, at first glance, this concept is still relatively out of the way, so what exactly is a digital twin?
First, let's look at the definition of the digital twin, the "Digital Twin Application White Paper" is this:
"The digital twin is a digital representation of a specific physical entity or process with a data connection that ensures same-rate convergence between the physical state and the virtual state, and provides an integrated view of the entire lifecycle of the physical entity or process, helping to optimize the overall lifecycle. of an integrated view that helps optimize overall performance."
Simply translated, the digital twin is a virtual digital space mapping of things in the real world, building a "digital clone" of the physical entity, based on historical data, real-time data, with the help of data models, to achieve the mapping of real-world scenarios or objects, analysis and optimization, diagnostic predictions, and so on.
Digital twin construction of three stepsReviewed a lot of data and information, roughly summarized the construction of digital twins and the application process can be divided into three steps: reproduction, construction, application.
Replication: digital reconstruction of the real space
The first step is to use space acquisition equipment to accurately replicate the real space, and through the Internet of Things (IoT) to realize the virtual interaction between the physical space and the digital space, in which the data related to the real space will be captured and transmitted, including structural data, sensor data, operational data, etc., for the later model construction and application of the digital twin. data, etc., to prepare for the later model construction and optimization.
Construction: data-driven model learning and optimization
When the real space and physical entities have been digitally reproduced, the relevant data has also been uploaded to the cloud, and after cleaning and processing the data, you can combine the processed data with the relevant technical capabilities to build a digital twin model, and continue to validate and optimize.
Application: function development and practical application
After the model construction is the specific application, in this stage, will be combined with the specific application scenarios as well as the industry characteristics, to do the specific function development and application, such as the predictive maintenance of the factory floor, the simulation of the planning of the road traffic and so on.
Digital twin application valueSaid so much, that digital twin in the end what is the use of it? Specifically can be applied in which scenarios or which industries? The next answer one by one.
Aerospace prediction simulation: As the most cutting-edge application of science and technology, aerospace can be said to be the earliest origin of the application of digital twin technology. 1969 U.S. Apollo project, the National Aeronautics and Space Administration (NASA) through the manufacture of two identical spacecraft, the formation of a "physical twin", which is the first time in the world that a digital twin has been used. twin", which is the prototype of the earliest digital twin technology. With the iterative development of technology, digital twin technology has a wide range of applications in aerospace product development, fault detection, system control and other aspects.
Digital Twin Factory: Digital twin technology can be said to be the darling of industrial production, which can realize resource deployment, intelligent production, and significantly improve production efficiency. Digital twin factory, means that the entity of the factory to the virtual space, you can get real-time access to the data in the factory, to achieve real-time monitoring of the factory; at the same time, you can also simulate the production process, optimize the production process; but also through the data analysis can only support the decision-making and predictive analytics ...... It can be said that the digital twin technology in the field of industrial production The effect is very significant.
Intelligent Transportation Simulation: The application of digital twins in the intelligent transportation industry is mainly the real-time collection of traffic data into the establishment of the traffic model system, through the analysis of big data, artificial intelligence AI and traffic simulation technology, to achieve the depth of the integration of the real road traffic and the virtual environment, such as traffic changes can be carried out to simulate the derivation of the changes in the traffic flow, also Traffic signal changes can be simulated, thus helping to better plan traffic routes and providing technical support for management to optimize traffic management scheduling.
Creating a smart city: Using digital twin technology, a twin city corresponding to the physical world can be constructed in the virtual cyberspace, and the simulation, monitoring and control of the city can be realized through the identification of the whole domain of the data, the accurate perception of the state, and the real-time analysis of the data to solve the many problems in the process of urban planning, design, construction, management and service. The city's simulation, monitoring and control are realized through the accurate perception of the state of data in the whole domain.
Currently, digital twins are widely used in industrial manufacturing, smart cities, intelligent transportation, energy and other major industry sectors, as an important field of virtual simulation, digital twins are with its powerful ability to create unprecedented innovation in various industries.