The Dongsoft Power Intelligent Anti Theft System utilizes big data analysis technology to analyze electricity consumption information, meter status, line loss and other data information from multiple dimensions, quickly locate suspected electricity theft users, and support power enterprises to systematically and regularly carry out anti theft analysis, warning, investigation and handling work through the construction of intelligent electricity abnormal analysis and anti theft applications, which is conducive to improving the effectiveness of anti theft work.

Main functions

The intelligent anti electricity theft system of Neusoft Power mainly includes four functional modules: analysis and mining of electricity theft data, comprehensive display, processing of anti electricity theft tasks, and statistical analysis of anti electricity theft effectiveness. The specific modules are as follows:

Analysis and mining of electricity theft data

Establish an anti electricity theft evaluation index system, build an expert sample library, conduct anti electricity theft model analysis, model construction, model evaluation, and combine machine learning technology to automatically optimize and reconstruct the model. Adjust the evaluation indicators to make the entire anti electricity theft intelligent diagnostic model more intelligent and the analysis results more accurate.

Based on the working principle of the power system, an intelligent diagnostic model for anti electricity theft is used to analyze typical metering anomalies and electricity theft cases, identify the data characteristics of electricity consumption anomalies and metering anomalies, and use big data mining algorithms. Based on the electricity marketing system and electricity consumption information collection system, professional algorithms are used to analyze and calculate the sea electricity consumption data, and users suspected of electricity consumption anomalies or breach of contract electricity theft are screened from the massive data. And proactively push suspected electricity theft users to the front desk of business personnel.

comprehensive display

Through big data visualization technology, the system comprehensively displays the abnormal electricity consumption behavior characteristics of relevant electricity theft users in multiple dimensions, including classifying and analyzing electricity theft users by capacity, industry, and other dimensions, displaying the proportion of electricity theft users in this category, so that early warning analysts can intuitively understand the abnormal electricity consumption distribution of electricity theft users, and play a certain guiding role in subsequent key inspection and monitoring.

Handling of anti electricity theft warning tasks

For suspected electricity theft user details submitted through the intelligent anti electricity theft analysis model, generate warning and investigation tasks, and split, dispatch, process, and review the investigation tasks. Support single household dispatching, batch dispatching, and re dispatching tasks that have been excluded from processing task rollback;

Statistical analysis of the effectiveness of anti electricity theft measures

Statistics on the processing status and accuracy of anti electricity theft warning and investigation tasks based on different time dimensions. Count the number of households initiating and completing investigation tasks, initiation rate, completion rate, and accuracy rate based on the power supply unit and the time range of task start or completion.