International Journal of Computer Science and Information Technology, Journal Year: 2025, Volume and Issue: 5(2), P. 13 - 21
Published: Feb. 27, 2025
With the rapid development of industrial Internet, Internet Things (IoT), and big data technologies, digital twin technology has emerged as a pivotal tool in enhancing productivity, optimizing resource allocation, driving evolution smart manufacturing systems. This paper provides comprehensive review current state research on twins, exploring their applications across various sectors such production processes, equipment management, quality control. The highlights technological advances that have enabled widespread adoption including virtual modeling, real-time transmission processing, fusion. It also discusses key challenges faced by industries implementing accuracy integration, complexity model construction, need for standardization cross-platform integration. Additionally, addresses ongoing trends field, increasing integration twins with artificial intelligence, machine learning, cloud computing. Finally, an outlook future directions research, identifying areas further innovation application, offers recommendations overcoming limitations to support wider adoption. By summarizing progress challenges, this aims provide theoretical insights practical guidance advancing technology.
Language: Английский