Watch 05 Digital Twin can merge with NewIT?
As shown in Figure 2, from the perspective of the five-dimensional model of digital twin, NewIT plays an important supporting role in the realization and application of digital twin. The specific analysis is as follows.
Figure 2 The relationship between the digital twin five-dimensional model and New IT
(1) The comprehensive perception of the physical world by the digital twin and the Internet of Things is an important basis and prerequisite for the realization of the digital twin. The Internet of Things provides technical support for the overall perception of the physical world through data acquisition methods such as radio frequency identification, two-dimensional code and sensors. In addition, iot provides assistance for real-time, reliable, and efficient transmission of twin data via wired or wireless networks.
(2) Digital twins and 3R (AR, VR, MR) virtual models are the core 125800-01 parts of digital twins, providing multi-dimensional, multi-space-time scale high-fidelity digital mapping of physical entities. Realization of visualization and virtual-real integration is the key to make virtual model truly present physical entity and enhance the function of physical entity. VR/AR/MR Technology provides support for this: VR technology uses computer graphics, detail rendering, dynamic environment modeling, etc., to realize the virtual model of physical entity attributes, behaviors, rules and other aspects of the level of visual realistic display; AR and MR Technologies use real-time data acquisition, scene capture, real-time tracking and registration to realize the synchronization and fusion of virtual models and physical entities in time and space, and enhance the functions of physical entities in detection, verification and guidance through virtual models.
(3) Digital twin and edge computing Edge computing technology can filter, protocol and process part of the data collected from the physical world in real time on the edge side, so as to achieve real-time decision-making, rapid response and timely execution of users. Combined with cloud computing technology, complex twin data can be transmitted to the cloud for further processing, thus achieving cloud-edge data collaborative processing for different needs, thereby improving data processing efficiency, reducing cloud data load, and 125800-01 reducing data transmission delay, providing guarantee for the real-time performance of digital twins.
(4) The scale elasticity of digital twins and cloud computing digital twins is very large, and the unit-level digital twin may meet the computing and operation needs on the local server, while the system-level and complex system-level digital twins require greater computing and storage capabilities. The on-demand use and distributed sharing model of cloud computing enables digital twins to use huge cloud computing resources and data centers to dynamically meet the different computing, storage and operation requirements of digital twins.
(5) Accurate mapping of digital twin and 5G virtual model and fast feedback control of physical entity are the key to realizing digital twin. The accuracy of virtual models, the fast feedback control ability of physical entities, and the interconnection of massive physical devices put forward higher requirements on the data transmission capacity, transmission rate, and transmission response time of digital twins. 5G communication technology has the characteristics of high speed, large capacity, low delay and high reliability, which can meet the data transmission requirements of digital twins, meet the low-delay transmission of massive data between virtual models and physical entities, and interconnect a large number of devices, so as to better promote the application of digital twins.
(6) Digital twin and Big data The twin data in digital twin integrates the massive 125800-01 data of multi-source, multi-type, multi-structure and full-factor/full-service/full-process generated at high speed by physical perception data, model generation data, virtual-real fusion data, etc. Big data can extract more valuable information from the massive data generated at high speed by digital twins to interpret and predict the outcomes and processes of real-world events.
(7) Digital twin and blockchain blockchain can provide a reliable guarantee for the security of the digital twin, which can ensure that the twin data cannot be tampered with, the whole process is marked, can be tracked, can be traced, and so on. Independent, immutable, and secure blockchain technology prevents errors and deviations from tampering with digital twins to keep them safe and encourage better innovation. In addition, the trust mechanism established through the blockchain can ensure the security of service transactions, thus giving users peace of mind to use the various services provided by the digital twin.
(8) Digital twin and Artificial intelligence (AI) With its accurate, reliable and high-fidelity virtual model, multi-source, massive and trusted twin data, and real-time dynamic virtual-real interaction, digital twin provides users with simulation, diagnosis and prediction, visual monitoring, optimization control and other application services. By intelligently 125800-01 matching the best algorithm, AI can automatically perform data preparation, analysis, and fusion for in-depth knowledge mining of twin data without the participation of data experts, thus generating various types of services. Digital twins, with the blessing of AI, can greatly improve the value of data and the responsiveness and accuracy of services.
To sum up, the implementation and application of digital twins cannot be achieved without the support of New IT. Only the deep integration with New IT digital twin can realize the true and comprehensive perception of physical entities, the accurate construction of multi-dimensional and multi-scale models, the deep integration of all elements/all processes/all business data, the on-demand use of intelligent/humanized/personalized services, and the comprehensive/dynamic/real-time interaction.