What is an industrial digital twin? An industrial digital twin isthe integration and innovative application of multiple types of digital technologies, based on modeling tools in the digital space Build an accurate physical object model, and then usereal-time IoT data to drive the model operation, and then build comprehensive decision-making capabilities through the integration and fusion of data and models to promote the entire business Process closed-loop optimization.
1.Now is the best time to develop industrial digital twins
Today’s IT environment is more mature, the computing power of the hardware supports real-time rendering, and the software is more adaptable. Digital twins have penetrated into all stages of intelligent manufacturing and have been effectively used in different scenarios, such as assembly applications, employee training, product evaluation, smart factory construction, warehousing and logistics management, etc., and can greatly improveImprove management efficiency in production, manufacturing, assembly, design, planning and materials, and reduce trial and error costs.
2.Empowering the intelligent upgrading of industries
1, What problems can digital twins help manufacturing companies solve?
Digital twins are mainly used inproduct design, production scene virtualization and remote after-sales service. Mature scenario applications can help customers use Smaller costs predict the final result and avoid larger losses.
Industrial digital twins focus on using "model + data" as the basis to deduce cause and effect, feedback and optimize business and processes. Industrial knowledge and data are derivative assets accumulated by enterprises in the long-term production process, but they differ in terms of accumulation methods, utilization scenarios, and value. Digital twin is a 'model + data' infrastructure. By building an ontology model, an industry knowledge graph is formed, data and the graph are mapped, and knowledge is continuously supplemented and created to build a digital twin with self-iteration capabilities, and through the integration with business scenarios Combining to achieve feedback on business and processes and complete closed-loop optimization.
2,Which companies are more suitable for applying digital twin technology? Which aspects of the manufacturing enterprise can digital twins be integrated with?
Industry leading companies and subdivided industries with a higher degree of automation are more suitable for using digital twin technology. These companies already have basically the capabilities of equipment data collection and data tracing, and can provide more complete data support for the digital twin ontology model.
For equipment manufacturing companies, digital twins can be used in the product design stage to realize the adjustment and optimization of product parameters, reduce trial and error costs, and shorten the development cycle;For discrete manufacturing enterprises with a high degree of process and automation, build a production digital twin and conduct real-time simulation and optimization through real-time data-driven models of production lines and equipment. It can improve production efficiency, improve quality and reduce manufacturing costs.
3. Real-time cloud rendering provides strong backing for digital twins
Real-time rendering cloud is a technology that transfers complex and computationally intensive graphics tasks to the cloud for processing. The cloud servers are equipped with high-end GPU devices. Computation and real-time encoding are performed through these servers, and then the encoded results are streamed in real time through the network to terminal devices, such as mobile phones, PCs, tablets, and XR devices. . Industrial digital twins provide productized services to empower enterprises. At the same time, automated management and control are the primary responsibilities of real-time cloud rendering. The root cause of data security traceability lies in Effective unified management creates a better and precise product process for industrial digital twins. Cloud computing and streaming technology promote digital twin applications for better industrial manufacturing, allowing users to access and observe the digital twin model of the factory anytime and anywhere, thus promoting the vigorous development of industrial digital twin technology.