一种电站数据平台的数据质量自动评估方法及系统

By using a periodic full snapshot transmission mode and a unified time synchronization information-based automatic data quality assessment method, the problem of distinguishing between data anomalies and device status anomalies under the full snapshot transmission mode is solved, achieving efficient data quality assessment and transmission problem localization.

CN122420179APending Publication Date: 2026-07-17POWERCHINA HUADONG ENG CORP LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
POWERCHINA HUADONG ENG CORP LTD
Filing Date
2026-06-16
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies cannot adapt to full snapshot transmission mode, making it difficult to distinguish between data anomalies and device status anomalies, and data quality issues exist in cross-security partition transmission.

Method used

The system adopts a periodic full-snapshot transmission mode, and performs batch data integrity verification, single-point basic quality verification, time series correlation analysis, and comprehensive judgment of anomaly sources through unified time information, combined with cross-regional transmission probes for quality assessment.

Benefits of technology

It enables accurate identification of communication interruptions and abnormal device status in full snapshot transmission mode, reduces redundant alarms, improves the accuracy and efficiency of data quality assessment, and supports rapid location of transmission problems.

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Abstract

本发明公开了一种电站数据平台的数据质量自动评估方法及系统,属于数据治理技术领域。本发明针对电站数据集成特点,通过批次完整性校验将评估粒度提升至数据批次层面,避免通信中断时的冗余告警;利用统一对时信息执行因果时序匹配、跨系统一致性校验及状态联动分析,系统性地解决了数据异常与设备状态异常难以区分的行业难题;通过跨安全分区传输探针量化评估传输质量。本发明能够准确识别数据质量问题的根源,大幅提升异常诊断准确率,为水电站、抽水蓄能电站智能化应用提供可靠的数据基础。
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