摘要
当前配电物联数据驱动业务中数据资源分配均衡性差、规划效率低,影响协同功能的实现。本文改进了配电物联数据驱动业务以及边云协同功能。通过事件驱动收集底层用电数据,经过预处理生成区间数据,将数据统一支配实现数据驱动业务。采用API技术使计算机与具有socket接口的设备保持通信,设计云计算中心与边缘设备的通信功能,设置配电网中控制模块功能,从而实现边云协同功能,保障配电网全局运行。实验结果表明:在相同的测试条件下,与传统的配电物联数据驱动业务及协同功能相比,提出的配电物联数据驱动业务中数据资源分配均衡性较高,有效提高配电物联数据资源规划效率,保证了边云协同功能的正常运行,满足实际应用需求。
In the current distribution-driven IoT data-driven business,the distribution of data resources is poorly balanced and planning efficiency is low,which affects the realization of collaborative functions.This paper improves the data-driven business of distribution IoT and the collaborative function of edge cloud.Event-driven collection of bottom-level electricity data,pre-processing to generate interval data,and unified data control to achieve data-driven business.The API technology is used to keep the computer in communication with devices with socket interfaces,the communication function between the cloud computing center and the edge devices is designed,and the control module function in the distribution network is set up,so as to realize the collaborative function of the edge cloud and ensure the global operation of the distribution network.The test results show that:under the same test conditions,compared with the traditional distribution IoT data-driven business and collaborative functions,the proposed distribution IoT data-driven business has a higher balance of data resource allocation and effectively improves the distribution of electricity The efficiency of connected data resource planning ensures the normal operation of the edge cloud collaboration function and meets actual application needs.
作者
葛永高
李澄
潘诗强
王伏亮
陆玉军
王江彬
GE Yong-gao;LI Cheng;PAN Shi-qiang;WANG Fu-liang;LU Yu-jun;WANG Jiang-bin(Jiangsu Frontier Electric Power Technology Co.,Ltd.,Nanjing,Jiangsu 211100,China;Jiangsu Hoperun Zhirong Technology Co.,Ltd.,Nanjing,Jiangsu 210012,China)
出处
《计算技术与自动化》
2020年第4期163-168,179,共7页
Computing Technology and Automation
基金
江苏方天电力技术有限公司科技项目(YF201901)。
关键词
物联网
数据驱动
数据处理
边云协同
internet of things
data-driven
data processing
edge cloud collaboration
