To address the issues of disorganized scenario-based analysis logic and inadequate monitoring and evaluation of line loss rates and anomaly rates in traditional electric energy data platforms

this study conducts research on enhancing scenario-based logical chain analysis capabilities under the principle of "competing for every kilowatt-hour and reducing every unit of loss". The proposed system primarily consists of three functional modules: autonomous scenario-based logical chain analysis

comprehensive penetration monitoring

and multi-dimensional problem analysis. It enables flexible combination

on-demand customization

and experience accumulation of basic anomaly analysis units

dynamically forming scenario-based analysis themes. Furthermore

it improves the efficiency of line loss anomaly investigation and management through refined line loss calculation

task assignment to individuals

and closed-loop tracking of governance within deadlines. This provides effective support for loss reduction and efficiency enhancement in power grids in the new era.