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信息化应用21年7期

电力企业线损异常统计软件机器人研发及应用
郑芒英,李昀
(广东电网有限责任公司湛江供电局,广东 湛江 524005)

摘  要:线损高低直接影响到电力企业的经营业绩,线损业务管理人员需每天关注线损异常情况,分析原因并根据线损异常天数阈值进行提级通知,加强线损管理。强化线损管理是“全国最好 2021”中的重点工作之一,加强线损异常闭环管控,通过研发机器人改变传统人工统计模式,实现“机器代替人”的管理模式;关键技术自主可控,提高工作效率和质量,使得数字技术与业务深度融合,助力企业数字化转型。


关键词:线损;RPA;异常;自动



DOI:10.19850/j.cnki.2096-4706.2021.07.028


中图分类号:TP391.7                                   文献标识码:A                                    文章编号:2096-4706(2021)07-0110-04


Development and Application of Software Robot for Power Enterprise Line Loss Abnormal Statistics

ZHENG Mangying,LI Yun

(Zhanjiang Power Supply Bureau of Guangdong Power Grid Corporation,Zhanjiang 524005,China)

Abstract:The level of line loss has a direct impact on the operating performance of electric power enterprises. Line loss business managers need to pay attention to the line loss abnormal situation every day,analyze reason and provide upgrade notifications based on the abnormal line loss days threshold to strengthen line loss management. Strengthening line loss management is one of the key tasks in the “National best 2021”. We should strengthen the closed-loop management and control of abnormal line loss,change the traditional manual statistical mode through the research and development of robots,and realize the management mode of “machine replacing human”. The key technologies can be controlled independently,improve the work efficiency and quality,make the digital technology and business deeply integrated,and help the enterprise in digital transformation.

Keywords:line loss;RPA;abnormal;automatic


参考文献:

[1] 王永平 . 台区线损管理与分析 [M]. 北京:中国电力出版 社,2020:13-40.

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作者简介:郑芒英(1985—),女,汉族,广东湛江人,副高 级工程师,工程硕士,研究方向:信息系统开发、数据管理;李昀 (1985—),男,汉族,广东湛江人,工程师,本科,研究方向: 信息系统开发、信息系统管理。