关键词: 可靠性, 多目标, 集成监控系统, 优化配置

Abstract: For the high requirement of reliability,availability and security of offshore drilling,the techniques of redundancy was used to improve the reliability of integrated monitoring and control system.However the costs,weights,volumes complexity of the system were increased at the same time.Thus a method to solve the multi-objective Problem of Reliability Redundancy Optimization Allocation (PRROA) was proposed.Based on the analysis of integrated monitoring and control system of offshore drilling rig,a multi-objective mathematical model of PRROA was constructed.To overcome the shortcomings of prematurity and slow convergence speed in solving multi-objective,a new hybrid adaptive genetic algorithm was proposed based on Adaptive Genetic Algorithm (AGA) and first order heuristic algorithm (GAG1),which improved the genetic operators and proposed self-adaptive crossover and mutation operators to ensure individual diversity and avoiding prematurity.Compared the proposed method with AGA and GAG1-AGA,and the numerical results showed that the proposed method was effective and reasonably,which could provide theoretical basis for the reliability optimization design of monitoring system.

Key words: reliability, multi-objective, integrated monitoring and control system, optimization allocation