基于蚁群算法的油气管道预警系统优化研究  

Optimization Study of Oil and Gas Pipeline Early Alarming System Based on Ant Colony Algorithm

作　　者：李明鑫[1] 王岳[1] 张月[1] 史俊杰[1] 

机构地区：[1]辽宁石油化工大学石油与天然气工程学院,辽宁抚顺113001

出　　处：《石油化工自动化》2014年第1期23-25,共3页Automation in Petro-chemical Industry

摘　　要：油气管道预警系统的可靠性是实现整个系统稳定性的重要环节之一。分析了油气管道预警系统的结构,利用蚁群算法,可得到预警系统各设备故障概率,并在专项经费一定的情况下,对系统安装并联备用设备,同时进行优化研究。结果表明:采用蚁群算法优化预警设备可实现整个系统投资小,提高可靠性,从而提高了管道安全级别。The reliability of oil and gas pipeline early warning system is of great importance to realize whole system stability.The structure of oil and gas pipeline early alarming system is investigated.The probability of each equipment failure in warning system can be acquired through ant colony algorithm.The parallel spare equipment can be installed and optimized under certain special funds.The result shows optimization of early warning equipment with ant colony algorithm can achieve overall system reliability maximization with small investment to improve pipeline safety level.

关 键 词：蚁群算法 油气管道 预警系统 故障率 优化 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP277.1[自动化与计算机技术—控制科学与工程]