AIoT: Artificial Intelligence and the Internet of Things for Monitoring and Prognosis of Systems and Structures

Hailing Fu, Jing Rao*, Fang Deng, Yihan Wang, Bowen Zhao, Zhuowen Liu, Hong Guan, Paweł H. Malinowski, Lijun Xu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

The Internet of Things (IoT) and artificial intelligence (AI) are revolutionizing the operation of systems, processes, infrastructure, and society, especially in the context of monitoring and prognosis. In these applications, it is crucial to adopt various types of sensors that can accurately assess the condition of systems and structures across extensive areas in a distributed manner and to effectively process multimodal sensing data using AI algorithms. This enables the autonomous and intelligent operation of systems and structures in a safe and efficient way. To summarize recent progress and challenges, this article presents a comprehensive review of the fundamentals of AI and IoT, their recent advancements, and their integration in monitoring and prognosis applications. Current issues, challenges, and future directions are discussed and summarized to highlight potential advancements in this rapidly evolving area. Overall, the combination of AI and IoT will significantly enhance the autonomy and intelligence in the monitoring and prognosis of systems and structures, leading to the era of the Artificial Intelligence of Things (AIoT).

Original languageEnglish
Article number9700232
JournalIEEE Transactions on Instrumentation and Measurement
Volume74
DOIs
Publication statusPublished - 2025

Keywords

  • Artificial intelligence (AI)
  • Internet of Things (IoT)
  • condition monitoring and prognosis
  • edge computing
  • structural health monitoring (SHM)

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