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Data quality assessment for on-line monitoring and measuring system of power quality based on big data and data provenance theory

机译:基于大数据和数据来源理论的电能质量在线监测系统数据质量评估

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Currently, on-line monitoring and measuring system of power quality has accumulated a huge amount of data. In the age of big data, those data integrated from various systems will face big data application problems. This paper proposes a data quality assessment system method for on-line monitoring and measuring system of power quality based on big data and data provenance to assess integrity, redundancy, accuracy, timeliness, intelligence and consistency of data set and single data. Specific assessment rule which conforms to the situation of on-line monitoring and measuring system of power quality will be devised to found data quality problems. Thus it will provide strong data support for big data application of power quality.
机译:当前,电能质量在线监测系统已经积累了大量数据。在大数据时代,从各种系统集成的那些数据将面临大数据应用问题。本文提出了一种基于大数据和数据来源的电能质量在线监测与测量系统的数据质量评估系统方法,用以评估数据集和单个数据的完整性,冗余性,准确性,及时性,智能性和一致性。制定符合电能质量在线监测测量系统情况的具体评估规则,以发现数据质量问题。因此,它将为电能质量的大数据应用提供强大的数据支持。

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