摘要
为改善电力营销统计报表核算存在的自动化程度较低、错误率较高问题。提出基于云计算的电力营销统计报表核算系统。从客户端角度和服务端角度探究云计算技术,分析其计算力集中、信息交互、兼容性强等特性,利用移动平滑方法过滤采集到的营销统计数据噪声;分别从故障抢修、电力线损计算与电费回收情况三方面综合统计营销效益;将改变现有业务模式、依托现有体系架构、统一规划作为系统设计原则,结合处理能力、安全能力等技术指标建立核算系统。仿真实验表明,该系统核算精准度较高、运行稳定,一定程度上可帮助提高营销业务工作效率。
In order to improve the accounting of power marketing statistics,the automation degree is low and the error rate is high.A new power marketing statistical statement accounting system based on cloud computing is proposed.Explore cloud computing technology from the perspective of client and server,analyze its features such as concentrated computing power,information interaction and strong compatibility,and filter the noise of marketing statistics collected by using mobile smoothing method.The marketing benefits are calculated from three aspects:fault repair,power line loss calculation and electricity charge recovery.It changes the existing business model,relies on the existing system architecture,unifies planning as the system design principles,combines with processing capacity,security capacity and other technical indicators to establish an accounting system.The simulation results show that the system has high accuracy and stable operation,which can help to improve the efficiency of marketing business to some extent.
作者
张向东
胡文
薛斌
杨眉
ZHANG Xiang-dong;HU Wen;XUE Bin;YANG Mei(State Grid Chongqing Electric Power Company Marketing Service Center,Chongqing 401120 China)
出处
《自动化技术与应用》
2024年第1期112-116,共5页
Techniques of Automation and Applications
关键词
云计算
电力营销统计
报表核算系统
移动平滑方法
电力线损
cloud computing
power marketing statistics
report accounting system
mobile smoothing method
power line loss
作者简介
张向东(1976-),男,本科,高级工程师,研究方向:电力营销技术。
