改进遗传算法的上位机过程设备维修优化系统研究  

Study of Maintain Optimization System to Process Equipment Based on Advanced Genetic Algorithm and SCADA

作　　者：闫金银[1] 王亚刚[1] 张冬冬[1] 毛嘉斐[1] 

机构地区：[1]上海理工大学光电信息与计算机工程学院,上海200093

出　　处：《计算机测量与控制》2012年第3期820-822,共3页Computer Measurement &Control

基　　金：国家自然科学基金项目(61074087)

摘　　要：提出一种设计优化软件的新方法,针对过程设备基础管理薄弱,依靠经验、定性的方法确定设备检查、维护内容,省去以往单独设计优化软件而带来的不必要的成本,为设备维修决策提供科学支持;利用遗传算法在搜索优化的优势,同时在SCADA的基础上可以省去开发不同通信协议所带来的驱动问题,利用其内含的控件、结合其脚本语言编译环境,设计优化软件;并利用WinCC为平台设计遗传算法并实现,取得了很好的效果。This paper presents a method to design optimization system, as the existing maintenance decision--making is subjective and qualitative on process equipment, which can cut much cost of designing optimization soft separately, in order to supply scientific guide on equipment. Based on the advantages of genetic algorithm on global search, to design a optimization soft, we take advantage of the control active and script language environment based on SCADA, and it omit the drivers of different communication protocol. Then, we take WinCC as an example to design and realize it, and acquire a good result.

关 键 词：维修决策 遗传算法 SCADA 优化软件 WINCC C脚本 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]