摘要
在传统的电厂侧信息化领域主要存在自动化不足,结构化不够,数字化不全等方面的问题,而这些问题带来的后果就是电厂智能化的缺失。针对现阶段存在的问题,本文设计了基于大数据平台的煤耗分析系统、生产运行预测决策系统、设备故障关联分析系统。应用表明,该套系统能够有效提高电厂生产效率,具有实际意义。
In the traditional field of power plant side informatization,there are some problems,such as insufficient automation,insufficient structuralization and incomplete digitization.The consequence of these problems is the lack of power plant intelligence.In view of the existing problems,this paper designs a coal consumption analysis system based on large data platform,a production operation prediction and decision-making system,and an equipment fault correlation analysis system.The application shows that the system can effectively improve the production efficiency of power plant,and has practical significance.
出处
《科学技术创新》
2019年第32期58-60,共3页
Scientific and Technological Innovation
基金
国家自然科学基金重点项目(51437003)
关键词
智慧电厂
煤耗分析
大数据
故障诊断
预测决策
Intelligent power plant
Analysis of coal consumption
Big data
Fault diagnosis
Prediction