摘要
针对电力设备台账存在数据质量差的问题,设计开发了台账数据高级核查处理算法模型,基于机器学习技术实现了对异常台账数据自动化辨识和修正,对错误缺失数据进行标识和统计汇总.与人工核查方式相比,节约了大量的时间和成本,大幅度并有效地提高了台账基础数据的质量,为促进生产管理精益化水平提升提供了支撑.
For the problem of poor data quality in the power equipment account,an advanced verification processing algorithm model is designed and developed in this paper.Based on the machine learning technology,the automatic identification and correction of the abnormal account data is realized,and the missing data are identified and summarized.Compared with the manual verification method,it can save a lot of time and cost,greatly improve the quality of the basic data of the account,and help to promote the improvement of the lean management.
作者
郭晨鋆
舒越
马显龙
朱珏佩
李昊
于虹
马仪
侯剑平
陈健
杜美龄
GUO Chenyun;SHU Yue;MA Xianlong;ZHU Juepei;LI Hao;YU Hong;MA Yi;HOU Jianping;CHEN Jian;DU Meiling(Electric Power Research Institute,Yunnan Power Grid Co.,Ltd.,Kunming 650500,Yunnan,China;Baoshan Power Supply Bureau,YunnanPowerGridCo.,Ltd.,Baoshan678000,Yunnan,China;Xi’anTechnologicalUniversity,Xi’an710021,Shsanxi,China;MeritDataTechnologyCo.,Ltd.,Xi’an710075,Shaanxi,China)
出处
《电网与清洁能源》
2019年第3期43-48,57,共7页
Power System and Clean Energy
基金
国家社科基金项目（13BGL054）
陕西省教育厅科研基金项目（12JK0131）~~
关键词
设备台账
数据质量
机器学习
生产管理
精益化
equipment account
data quality
machine learning
production management
lean
