Digital Twin Technology Challenges and Applications: A Comprehensive Review

A digital twin is a virtual representation of a physical object or process capable of collecting information from the real environment to represent, validate and simulate the physical twin’s present and future behavior. As an emergent technology, its widespread implementation is increasing in several domains such as industrial, automotive, medicine, smart cities, etc.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

• 1 It is a key enabler of data-driven decision making, complex systems monitoring, product validation and simulation and object lifecycle management.
• 2 As an emergent technology, its widespread implementation is increasing in several domains such as industrial, automotive, medicine, smart cities, etc.
• 3 The objective of this systematic literature review is to present a comprehensive view on the DT technology and its implementation challenges and limits in the most relevant domains and applications in engineering and beyond.

These innovations can translate to real-world improvements in technology, infrastructure, and everyday tools.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source: