Big data analysis-based low-voltage electricity stealing customer and electricity stealing means determination method
The invention discloses a low-voltage electricity stealing customer and electricity stealing means determination method based on big data analysis, and mainly relates to the field of electricity stealing prevention. The method comprises the following steps: 1) based on physical characteristic analys...
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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | The invention discloses a low-voltage electricity stealing customer and electricity stealing means determination method based on big data analysis, and mainly relates to the field of electricity stealing prevention. The method comprises the following steps: 1) based on physical characteristic analysis of a processed electricity stealing case, establishing a plurality of electricity stealing early warning models and electricity stealing means judgment models from different analysis dimensions of electric quantity abrupt change, current abnormity and strong magnetic interference events; 2) performing big data analysis on the electric parameters, the electric energy meter events and the work order information data through a specified electricity larceny early warning model, determining suspected electricity larceny preliminary details of the electricity larceny means in the corresponding electricity larceny early warning mode, and screening out suspected electricity larceny clients; 3) comparing the screened sus |
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