Abstract: Vector diagram generation technology has achieved precise off-site plotting. To further unleash the engineering application value of this technology, enhance the intelligence and efficiency of operational status assessment for metering devices, and reduce the operational costs and safety risks associated with traditional on-site live detection, this study leverages vector diagram resources generated from massive 15-minute frozen data accumulated by the electricity consumption information acquisition system. A standardized analysis and judgment rule system is constructed, enabling precise digital identification of vector diagram features and accurate localization of abnormal states. Targeting common operational scenarios of metering devices, five major analysis and judgment models are established by cross-verifying calculation results based on electrical principles with on-site test results. These include: the verification model for the correctness of metering wiring, the identification model for faults and operational anomalies of reactive power compensation devices, the monitoring model for sudden changes in current amplitude, the diagnostic model for anomalies in three-phase neutral current, and the diagnostic model for potential transformer (PT) reverse polarity anomalies. Together, these models form a comprehensive and quantifiable remote analysis and judgment solution. Practical applications demonstrate that this technology can effectively reduce the frequency of traditional on-site inspections, improve the precision of electricity supply services, provide functional support for the implementation and promotion of remote analysis and judgment operation modes, and offer high-quality data elements and industry practical experience for training artificial intelligence models in metering anomaly diagnosis. It thus drives the transformation of electric energy metering device management towards digitalization and intelligence.