To achieve real-time monitoring of incorrect wiring in electricity meters,a ZigBee wireless sensor network-based automated perception and diagnosis system for incorrect wiring in electricity meters is designed.Sensor nodes collect real-time electricity meter data and use empirical mode decomposition to remove noise present in the data.Based on this data,DS evidence theory is used to perceive incorrect wiring of the electricity meter.When an error is detected in the wiring of the electricity meter,the edge server immediately respond and send the perception results and preprocessed electricity meter data to the cloud in a timely manner.After receiving information from the edge,the cloud server uses support vector machines to achieve automated diagnosis of incorrect wiring in the electricity meter.Implementation shows that the system has the ability to accurately perceive and diagnose incorrect wiring of electricity meters,with an AUC value of 0.92 or above.
维普
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