TY - JOUR
T1 - AIoT
T2 - Artificial Intelligence and the Internet of Things for Monitoring and Prognosis of Systems and Structures
AU - Fu, Hailing
AU - Rao, Jing
AU - Deng, Fang
AU - Wang, Yihan
AU - Zhao, Bowen
AU - Liu, Zhuowen
AU - Guan, Hong
AU - Malinowski, Paweł H.
AU - Xu, Lijun
N1 - Publisher Copyright:
© 1963-2012 IEEE.
PY - 2025
Y1 - 2025
N2 - 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).
AB - 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).
KW - Artificial intelligence (AI)
KW - Internet of Things (IoT)
KW - condition monitoring and prognosis
KW - edge computing
KW - structural health monitoring (SHM)
UR - http://www.scopus.com/pages/publications/105002427234
U2 - 10.1109/TIM.2025.3557124
DO - 10.1109/TIM.2025.3557124
M3 - Article
AN - SCOPUS:105002427234
SN - 0018-9456
VL - 74
JO - IEEE Transactions on Instrumentation and Measurement
JF - IEEE Transactions on Instrumentation and Measurement
M1 - 9700232
ER -