Digital Twin Technology in the Industrial Sector

Abstract

Digital twin technology maps physical systems to real-time virtual models, enabling precise monitoring and optimization of industrial processes. Compared with traditional simulation methods, it offers significant advantages in real-time performance and interactivity, providing new impetus for industrial transformation.

 

Main Text

Traditional industrial simulation relies on offline data analysis, which is unable to reflect real-time conditions on the production floor. Digital twin technology creates digital replicas of physical objects to enable real-time data collection and dynamic simulation, assisting enterprises in production monitoring, fault prediction, and equipment maintenance. Industrial parks in Europe, Germany, and China have already begun to leverage this technology to enhance production efficiency.

Although digital twins excel in real-time monitoring and decision-making, building these models and maintaining data synchronization require significant investments and pose new information security challenges. In the future, with advancements in IoT, 5G, and edge computing, digital twin accuracy and real-time performance will improve further, driving the evolution of smart manufacturing.

 

Conclusion

Digital twin technology is revolutionizing traditional industrial simulation methods by improving production efficiency and reducing the risk of failures. Through cross-domain integration and standardization, this technology is set to broaden its industrial applications and usher in a new era of intelligent manufacturing.

 

References

 

Liu Bin, “Digital Twin Technology: A New Practice in Industrial Simulation”, Industrial IT, February 2023.

Mark Wilson, “Digital Twin Technology in Industry,” IndustryWeek, 2022.