IoT Cloud-Edge Reconfigurable Mixed-Signal Smart Meter Platform for Arc Fault Detection

• Published in: IEEE internet of things journal Vol. 10; no. 2; pp. 1682 - 1695
• Main Authors: Wu, Ya-Jie, Brito, Ricardo, Choi, Wai-Hei, Lam, Chi-Seng, Wong, Man-Chung, Sin, Sai-Weng, Martins, Rui Paulo
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 15.01.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Arc fault detection; Cloud computing; Computer architecture; Edge computing; Electrical loads; Electricity consumption; Electricity meters; Fault detection; Internet of Things; Internet of Things (IoT); mixed-signal processing; Reconfiguration; Safety; Smart meters
• ISSN: 2327-4662; 2327-4662
• DOI: 10.1109/JIOT.2022.3210220

Smart meter monitors electricity consumption through modern metering devices connected to the Internet via Internet of Things (IoT) technology, which can provide intelligent and fast applications on-site such as arc fault protection based on nonintrusive monitoring load classification with fast safety responses for varying electric loads. Traditional three, four, and five layers of the IoT architecture cannot support such fast responses under loading variation. This article aims to propose six layers of IoT Cloud-Edge Infrastructure equipped with a reconfigurable mixed-signal controller as a smart meter platform for adaptation to different environments and, for example, deal with fast arc fault detection corresponding to different load characteristics. Such an architecture can reduce the processing time for safety, reduce bandwidth for communication, improve arc detection accuracy under different loading environments, and lower the overall computation cost.