摘要
本文通过分析智能优化控制技术的发展及其实施现状,提出大数据智能控制一体化平台的构想,指出该平台需要具备标准的智能控制技术实施规范、可靠的数据采集技术、多模块协作共享、灵活的扩展能力、合理的硬件扩展设备成本、良好的升级基础等特点。同时结合智能电厂系统架构模型,提出大数据智能控制一体化平台的体系架构。该体系架构分为现场设备、控制系统、大数据通信链路、智能控制以及智能监控5个层级,并对各层级的功能进行了详细分析。该一体化平台对于推进发电机组智能化建设具有重要意义。
Through analyzing the development and implementation status of intelligent optimization control technology,this paper puts forward the conception of big data intelligent control integrated platform.It points out that this platform needs to have the characteristics of standard intelligent control technology implementation specification,reliable data acquisition technology,multi-module cooperative sharing,flexible expansion ability,reasonable hardware expansion equipment cost and good upgrade foundation.Moreover,combining with the architecture model of smart power plant,it proposes the architecture of intelligent integrated control platform based on big data,which is divided into five levels including field equipment,control system,big data communication link,intelligent control and intelligent monitoring.Each level's function is investigated in detail.This platform has great significance for improving the intelligent construction process of power plants.
作者
郭亦文
耿林霄
胡勇
高林
郑西
GUO Yiwen;GENG Linxiao;HU Yong;GAO Lin;ZHENG Xi(Xi'an Thermal Power Research Institute Co.,Ltd.,Xi'an 710054,China;Guodian Huangjinbu Power Plant Co.,Ltd.,Shangrao 334000,China)
出处
《热力发电》
CAS
北大核心
2019年第9期22-27,共6页
Thermal Power Generation
关键词
智能发电
智能控制技术
大数据
一体化平台
体系架构
smart power generation
intelligent optimization technology
big data
integrated control platform
system architecture