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

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...

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Published inIEEE transactions on instrumentation and measurement Vol. 74; pp. 1 - 32
Main Authors Fu, Hailing, Rao, Jing, Deng, Fang, Wang, Yihan, Zhao, Bowen, Liu, Zhuowen, Guan, Hong, Malinowski, Pawel H., Xu, Lijun
Format Journal Article
LanguageEnglish
Published New York IEEE 2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Artificial intelligence
Artificial intelligence (AI)
Autonomy
Cloud computing
condition monitoring and prognosis
edge computing
Internet of Things
Internet of Things (IoT)
Monitoring
Prognosis
Prognostics and health management
Real-time systems
Reviews
Sensors
structural health monitoring (SHM)
Supervised learning
Temperature sensors
Online AccessGet full text
ISSN0018-9456
1557-9662
DOI10.1109/TIM.2025.3557124

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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).
AbstractList 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).
Author Fu, Hailing
Rao, Jing
Guan, Hong
Zhao, Bowen
Malinowski, Pawel H.
Xu, Lijun
Deng, Fang
Wang, Yihan
Liu, Zhuowen
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  surname: Xu
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  email: lijunxu@buaa.edu.cn
  organization: School of Instrumentation and Opto-Electronic Engineering, Beihang University, Beijing, China
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Snippet The Internet of Things (IoT) and artificial intelligence (AI) are revolutionizing the operation of systems, processes, infrastructure, and society, especially...
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SubjectTerms Algorithms
Artificial intelligence
Artificial intelligence (AI)
Autonomy
Cloud computing
condition monitoring and prognosis
edge computing
Internet of Things
Internet of Things (IoT)
Monitoring
Prognosis
Prognostics and health management
Real-time systems
Reviews
Sensors
structural health monitoring (SHM)
Supervised learning
Temperature sensors
Title AIoT: Artificial Intelligence and the Internet of Things for Monitoring and Prognosis of Systems and Structures
URI https://ieeexplore.ieee.org/document/10947532
https://www.proquest.com/docview/3218512827
Volume 74
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