Researchand development of an IoT and edge computing-based energy metering management and monitoring system

In response to challenges within the energy data monitoring domain—including metering device parameter manipulation, insufficient bandwidth for traditional real-time monitoring, and constrained cloud computing resources—this study proposes an energy metering management and monitoring system centered on edge computing. The system utilizes an Internet of Things(IoT) sensor network to achieve comprehensive perception and real-time acquisition of energy data. By deeply integrating edge computing into its architecture, localized processing modules are deployed at edge nodes to swiftly execute critical tasks such as anomaly detection and fraud prevention. Through data filtering and analysis at the edge, the system significantly alleviates cloud data transmission burdens and enhances the efficiency of energy metering supervision.