%0 Journal Article %T 用电信息采集前置性能提升关键技术研究与应用
Research and Application of Key Technologies of Performance Improvement in Electric Energy Data Acquisition Front-End System %A 赵俊 %A 李艳西 %A 何正民 %A 齐明 %A 陈石东 %A 史科科 %A 詹军 %A 赵亚茹 %J Smart Grid %P 12-18 %@ 2161-8771 %D 2021 %I Hans Publishing %R 10.12677/SG.2021.111002 %X
当前用电信息采集系统的采集前置部分在海量终端的接入和通信、海量高频数据的采集和入库等方面存在明显的技术瓶颈,任务处理灵活性不高、并发处理能力不足、扩展性较弱,难以满足新形势下各类业务日益增长的多元化需求。针对这些问题,提出了一套解决采集前置性能瓶颈的方案,涵盖通信任务分级管理、采集任务并行执行、高并发通信处理、规约动态扩展及适配、采集数据入库并行处理等多个方面。在国网某省级电力公司用电信息采集主站提升改造项目中的工程应用表明,前置性能明显提升。
At present, there are obvious technical bottlenecks in the access and communication of massive terminals, and the collection and storage of massive high-frequency data in the acquisition front-end part of the current electric energy data acquisition system. The task processing flexibility is not high, the concurrent processing ability is insufficient, and the expansibility is weak, which is difficult to meet the diversified needs of various businesses under the new situation. In order to solve these problems, a set of solutions to the performance bottleneck of acquisition front-end system is proposed, which covers communication tasks classification management, data collection task parallel execution, high concurrent communication processing, protocol dynamic adaptation, data storage parallel processing and so on. The engineering application in the upgrading and reconstruction project of the master station of electric energy data acquisition system in a provincial company of the State Grid shows that the performance of acquisition front-end system is significantly improved.
%K 采集前置,任务分级管理,消息队列,高并发处理,规约动态适配
Acquisition Front-End System %K Task Hierarchical Management %K Message Queue %K High Concurrency Processing %K Protocol Dynamic Adaptation %U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=40314