The Intelligent Detection Method of Electric Energy Meter Overload Operating and Collaborative Edge Computing for Social Internet of Things Systems

Abstract

This study describes a line cloud architecture and IDM-based energy metering system to replace existing meter reading methods. They can regularly monitor meter readings without sending someone to each residence, and the bill is automatically sent to each user via IDM. If the consumer fails to pay the bill, the service provider can cut off the supply; this technology will prevent the illicit use of electricity, often known as power detection, and locate line faults rapidly and precisely without the need for human intervention. Because of the increased deployment of energy meters, much data on electric energy is used. Developing cloud architecture technologies could utilize this data better to prevent power detection. In this paper, an intelligent detection method of electric energy meter overload functioning state based on cloud architecture (IDM EEMOF-CA) is provided in detail and utilized to identify electric energy detection. There are currently no studies involving the use of IDM EEM-CA to detect power exposure to the authors' knowledge.