Feedback of real physical system to spatial digital model
Digital twinning is to make full use of physical model, sensor update, operation history and other data, integrate multi-disciplinary, multi-physical quantity, multi-scale and multi-probabilistic simulation process, and complete mapping in virtual space, thus reflecting the whole life cycle process of corresponding physical equipment.
Digital twinning is a concept that transcends reality and can be regarded as a digital mapping system of one or more important and interdependent equipment systems.
Industrial digital twins
- Digital twinning is sometimes used to refer to the completion of a digital model of a factory building and production line before construction.
- Thus, the factory is simulated and simulated in the virtual cyberspace, and the real parameters are transmitted to the actual factory construction.
- After the workshop and production line are completed, they continue to interact with each other in daily operation and maintenance.
Digital Twin Theory
- Many key technologies to realize Digital Twin have been developed, such as multi-physical scale and multi-physical quantity modeling, structured health management, high-performance computing, etc
- However, the implementation of Digital Twin requires the integration and integration of these cross-domain and cross-professional technologies to effectively assess the health of equipment
Present Situation
- From the connotation of CPS and digital twins, they are both to describe the integration of information space and the physical world. CPS is more inclined to the verification of scientific principles
- Digital twinning is more suitable for the optimization of engineering applications and can reduce the cost of complex engineering system construction
The application scenarios of digital twins are summarized from the aspects of product life cycle management, project life cycle management and workshop control system as follows:
At the earliest time, NASA used digital twins to conduct simulation analysis, detection and prediction of space vehicles to assist ground control personnel in decision-making.
Professor Michael Grieves and Siemens mainly use digital twins to manage the whole life cycle of product data. Digital twins are used to simulate and analyze product design, product function, product performance, processing technology, maintenance, etc.
Frequently Asked Questions
Still open questions?
Vehicle-road coordination is the use of advanced wireless communication and new-generation Internet technologies to comprehensively implement vehicle-vehicle and vehicle-road dynamic real-time information interaction, and to carry out vehicle active safety control and road traffic control on the basis of full-time and spatial dynamic traffic information collection and integration. Collaborative management fully realizes the effective coordination of people, vehicles and roads, ensures traffic safety, improves traffic efficiency, and thus forms a safe, efficient and environmentally friendly road traffic system.
Data analysis refers to the use of appropriate statistical analysis methods to analyze a large amount of collected data, summarize, understand and digest them, in order to maximize the development of data functions and play the role of data. Data analysis is the process of studying and summarizing data in detail in order to extract useful information and form conclusions.
Digital twin is a universally applicable theoretical and technical system that can be applied in many fields, especially in product design, product manufacturing, medical analysis, engineering construction and other fields.
It is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robotics, language recognition, image recognition, natural language processing and expert systems, etc.
The awareness of energy conservation in the energy management department of an enterprise can come from various aspects as mentioned above, and it doesn’t matter which aspect it comes from for energy management projects. It is important to convince the top management of the enterprise to establish a project so that they can firmly support the project and approve the required financial and human resources. Remember, no one makes promises to a target unless he is convinced of it.
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