摘要
采用SQL Server关系型数据库,JSON技术及.NET开发环境,搭建磨煤机在线监测和运行优化系统。系统通过对磨煤机各测点参数以及性能计算参数的监测,全面把握各台磨的工作状态。在运行优化模块中,通过Online-LSSVM模型实时更新磨能耗曲线,从而更好地处理了出力分配和启停优化问题。
Using SQL Server relational database,Json technology and.NET development environment,build a coal mill online monitoring and operation optimization system.Through the monitoring of the parameters of each measuring point of the coal mill and the calculation parameters of the performance,the system fully grasps the working status of each table mill.In the running optimization module,the grinding energy consumption curve is updated in real time by the Online-LSSVM model,so that the problem of output distribution and start-stop optimization can be better dealt with.
出处
《工业控制计算机》
2018年第10期116-117,共2页
Industrial Control Computer
关键词
JSON技术
可视化
B/S
磨煤机
在线监测
优化
JSON technology
visualization
B/S
coal mill
online monitoring
optimization