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为综合优化安全仪表系统(SIS)的多个性能指标,并确定系统各模块的冗余结构和测试周期(TI),提出一种SIS多目标优化方法。首先研究SIS可靠性、可用性和生命周期成本(LCC)的计算模型,然后通过计算模型得到以冗余结构、TI为优化变量,以可靠性、可用性和生命为目标函数的优化问题,最后应用多目标遗传算法(MOGA)来优化系统。结果表明:多目标优化能够综合考虑可靠性、可用性和LCC,比单目标优化得到的结果更有参考价值;TI对系统的影响不可忽略;SIS的多目标优化能得到一组有意义的解,可供SIS工程设计参考。
In order to comprehensively optimize the performance of safety instrumented system (SIS), and determine the redundancy structure and test cycle (TI) of each module of the system, a SIS multi-objective optimization method is proposed. Firstly, the calculation model of reliability, availability and life cycle cost (LCC) of SIS is studied. Then the optimization problem with redundant structure, TI as optimization variable and reliability, availability and life as objective function is obtained through calculation model. Finally, Objective Genetic Algorithm (MOGA) to optimize the system. The results show that multi-objective optimization can be considered more comprehensively than reliability, availability and LCC, which is more valuable than single-objective optimization. The impact of TI on the system can not be ignored. Multi-objective optimization of SIS can obtain a set of meaningful solutions, For SIS engineering design reference.