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

Introduction: Overview Of The Intelligent Detection Method For Energy Detection

Advanced systems use an advanced detecting mechanism to eliminate redundant information and automatically intelligent detection. Depending on the environment and the danger of increased technology, it can enhance innovation. Every day, the global energy problem gets worse (Gao et al.2020). The goal of everyone is to increase the amount of energy produced. A lot of new technology has been incorporated to fulfill user needs. Energy distribution automation is essential to improve people's living standards (Pham et al.2021). Meter readers make regular visits to each home to take readings and calculate the fee in the traditional way of electric metering (Namasudra et al.2020). This system has numerous drawbacks, including incorrect readings, a lack of meter readers, properties in remote places, meters in inconvenient locations, and so on. Even though power detection rates in industrialized countries are quite low, they result in a significant amount of unbilled electric energy in absolute terms (Gupta et al.2020). Due to the depletion of fossil fuels and dramatic moves toward electric mobility, society is becoming even more reliant on electricity. Electricity deficits occur naturally throughout the electrical network grid's operation. Still, most losses are caused by electric detection, mainly in the power distribution network (Basheer et al.2019). Power detection is a significant concern worldwide these days, as it is necessary to maintain the grid's stability and profitability. Collaborative edge computing can be used for various applications and methodologies. Mobile edge/cloud computing resources in social networking sites for social internet-of-things systems, on the other hand, have been the subject of numerous innovations.

When the power goes through apparatus such as wires, overhead lines, and transformers, technical losses are an unfortunate by-product of any energy distribution network's operation (Gao et al.2020; Manogaran et al.2020). Low energy quality is linked to technical losses caused by voltage, amplitude, and power changes induced by brief need events, challenging consumption events, or seasonal variations (Amudha et al.2018). There are a variety of methods for power detection, including accessing electricity straight from an overhead power system, grounding the neutral line, trying to put magnets on an electromechanical meter, inserting a disc to halt the coil movement, hitting the meter to break the spinning coil, and so on (Reddy et al.2014). IDM-based energy meters can be used to replace the current meter reading technologies described in this paper. The use of energy meters, PLCs, and SCADAs creates an energy monitoring system. Voltage, current, power, power factor, and other relevant data are all measured by an energy meter. They can check meter readings without sending someone to each residence, and IDM automatically provides each user's bill. The service provider can turn off the supply if the customer fails to pay the bill; this technology will prevent illegitimate use of electricity, known as power detection, and discover line problems promptly and precisely without the need for human intervention.