摘要
供电企业传统电网用电监察工作任务繁重,监察人员也缺少有效的信息化沟通手段,难以与大量客户保持畅通联系,导致用电监察工作的开展效率相对较低,无法做到对客户用电安全的全方面管控。通过对用电监察工作现状进行诊断分析,从而明确了信息化平台的建设需求。在此基础上,引入信息化手段设计了基于"互联网+"的电网用电监察平台。设计的平台包含客户经理移动作业、实时信息双向交互、案例库建设应用等主要功能模块。监察人员一方面可借助平台便捷开展各类监察业务,提高监察效率,另一方面可密切与客户的联系,保持信息双向畅通,提高客户满意度。
The power supply enterprise grid electricity supervisory workloads,and traditional supervisory personnel are lack of effective means of information communication. It is difficult to keep smooth contact with a lot of customers,which causes electricity supervisory work efficiency lowly. It can't do all aspects of electrical safety control for the client. Through the diagnosis and analysis of the current situation of electricity monitoring,the construction demand of information platform is clarified. On the basis of this,the information technology is introduced to design the electric power monitoring platform based on "Internet plus". The design platform includes the main function modules,such as mobile operation of customer manager,two-way interaction of real-time information,and application of case library construction. On the one hand,with the help of a convenient platform supervisory personnel can carry out all kinds of supervisory business to improve the efficiency of supervision,on the other hand closely contact with customers and maintain two-way information flow to improve customer satisfaction.
引文
[1]徐鲁军,赵建新,郭本朋.试论数字化监察设备在电力监察技术中的应用[J].科技尚品,2016,(2):121.
[2]张春利,李媛媛,张军伟.基于PDA和GPS技术的移动用电检查作业平台[J].工程技术:文摘版:00261-00261.
[3]丁晓.用电检查与反窃电智能信息平台的设计与应用[J].电力需求侧管理,2012,14(3):86-87.
[4]张学粮,范岩成,王春阳,等.核电站在役检查信息化管理平台研究及应用[J].电信科学,2014,30(2):160-164.
[5]黄永聪,吴琦,徐玉峰,等.电网系统用电检查管理系统的设计与实现[J].计算机技术与发展,2008,18(11):187-190.
[6]李靖波,郭斌.移动作业终端在供电服务中的应用[J].电力需求侧管理,2014,(2):55-58.
[7]杨永标,李逸驰,陈霜,等.双向互动服务平台的关键技术与总体构架[J].广东电力,2015,(8):28-32.
[8]李有铖,余文辉.配网巡视的移动作业实现分析[J].自动化与仪器仪表,2016,(12):157-158.
[9]卢建昌,樊围国.大数据时代下数据挖掘技术在电力企业中的应用[J].广东电力,2014,(9):88-94.
[10]梁洪浩,丁国茂,江大川.适应智能电网的用户互动服务平台设计研究[J].电测与仪表,2012,49(1):49-51.
[11]徐连杰.电力用户用电信息采集系统建设研究[D].华北电力大学,2015.
[12]谭致远.基于用电行为分析的在线用电异常及风险监测系统的设计与实现[D].华南理工大学,2015.
[13]顾荣,王芳芳,袁春风,等. YARM:基于MapReduce的高效可扩展的语义推理引擎[J].计算机学报,2015,(1):68-70.
[14]胡俊,胡贤德,程家兴.基于Spark的大数据混合计算模型[J].计算机系统应用,2015,(4):87-88.
[15]温馨,罗侃,陈荣国.基于Shark/Spark的分布式空间数据分析框架[J].地球信息科学学报,2015,(4):145-147.
[16]董春涛,李文婷,沈晴霓,等. Hadoop YARN大数据计算框架及其资源调度机制研究[J].信息通信技术,2015,(1):59-61.
[17] Nikolaos Tsapanos,Anastasios Tefas,Nikolaos Nikolaidis,Ioannis Pitas. A distributed framework for trimmed Kernel k-Means clustering[J]. Pattern Recognition,2015,(8):847-858.
[18] JIANG Rong,LU Rongxing,WANG Ye,LUO Jun,SHEN Changxiang,SHEN Xuemin(Sherman). Energy-Theft Detection Issues for Advanced Metering Infrastructure in Smart Grid[J]. Tsinghua Science and Technology,2014,(2):1140-1153.