An intelligent anti-stealing electricity monitoring method, system, equipment and medium in a station area

Abstract

The invention discloses an intelligent anti-stealing electricity monitoring method in a station area, which includes the steps of: extracting and analyzing the characteristics of electricity consumption information of users in the station area, and combining the multi-modal information fusion of non-electrical information in the station area to realize the monitoring method. Extract the characteristics of electricity stealing loss, and form a monitoring record of electricity stealing behavior in the station area; Accurately locate the characteristics of electricity loss to households; analyze the causes of electricity theft in the station area, summarize the reasons for the occurrence, and determine the data model of electricity theft behavior in various modes; based on the data model of each electricity theft behavior, collect and monitor the operation status of the station area information to locate electricity theft. The invention also correspondingly discloses a monitoring system, mobile medium equipment and medium corresponding to the above method. The method, system, mobile medium device and medium of the present invention all have the advantages of fast and accurate monitoring of electric stealing behaviors and the like.

Description

technical field [0001] The invention mainly relates to the technical field of power equipment stealing detection technology, in particular to an intelligent anti-power stealing monitoring method, system, equipment and medium in a station area. Background technique [0002] In daily production and life, the loss in the high-loss platform area can be in three forms according to the characteristics: variable loss, fixed loss and other loss. Electric energy will pass through many transformers in the process of transmission. In order to ensure the voltage quality, many reactive power regulators are needed, such as phase modulators, reactors, capacitors, power transformers, arc suppression coils and other devices. When passing through the above devices , there will be a certain loss, which is copper loss, and this part of the loss is proportional to the square of the current flowing on them. The size of the current may change at any time, so this part of the loss is also variable,...

AI Technical Summary

Problems solved by technology

Another part of the loss is due to the loss caused by enterprise management and the consumption of the substation itself. For example, the accuracy of the metering device used is not high, resulting in metering errors, and the time of meter reading personnel is not uniform, errors caused by work, and Losses caused by user electricity theft, these losses are collectively referred to as other losses

[0003] Stealing electricity is a part of the loss of high-loss stations. In the actual detection of electricity stealing, the diversification of electricity stealing behaviors and the differences in their performance characteristics make a single detection method unable to meet all detection requirements. In this case, establish a An intelligent analysis model of abnormal power consumption based on multi-modal data fusion, which conducts independent detection and evaluation according to different electrical characteristics and behavioral characteristics that may be caused by different electricity theft methods, and then uses multi-modal data feature fusion algorithm to fuse the independent evaluation results. Form the final evaluation result, and carry out the detection and positioning of abnormal power consumption behavior based on the comprehensive evaluation result

Images