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电力大数据:2018,21(11):-
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基于大数据的电网设备台账对应准确度提升
李时
(浙江省台州市供电公司)
Improvement of power grid equipment ledger correspondence accuracy based on big data
lishi
(Zhejiang Province Taizhou City Power supply company)
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投稿时间:2018-07-06    修订日期:2018-07-31
中文摘要: 本文在电能质量在线监测这类业务集成度高的系统中开展数据资源及数据梳理工作,进行信息系统之间的适应性调整,建立全局台账业务模型,形成相应的大数据技术支撑,改变过去在跨业务系统间人工核查台帐对应准确性的模式。针对台帐对应中存在的问题,本文提出了一系列基于大数据和计算机信息技术的台帐对应准确度核查方法,把NLP(自然语言处理)技术、决策树预测方法、对象和属性距离测算等技术应用于台帐信息的对应准确性核查,并构建基于Java+Flex技术的离线式台帐对应核查工具。该方法和工具能够科学合理地对台帐对应准确性进行核查,从两个不同角度发现对应不准确的台帐。本文结合浙江电网台帐实际数据进行了分析计算,计算结果表明该方法和工具有效且实用。
Abstract:This paper carries out data resource and data combing in the system with high integration of power quality online monitoring, and adjusts the adaptability between information systems, establishes a global account business model, and forms corresponding big data technology support, and Change the pattern of checking the accuracy of accounts manually across business systems in the past. In view of the problems existing in the correspondence of ledgers, a series of verification methods based on big data and computer information technology are proposed.Using NLP (natural language processing) technology, decision tree forecasting method, object and attribute distance measurement technologies and so on for the corresponding accuracy verification of the information of the ledgers, and build an off-line ledgers based on the technology of Java + Flex corresponding verification tools. This method can scientifically and reasonably verify the accuracy of the corresponding ledgers, and find the corresponding incorrect ones from two different angles. Based on the actual data of the Zhejiang power grid, the calculation was carried out and the results show that the method and tools are effective and practical.
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基金项目:基于大数据的电网设备台账对应准确度提升
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