关键词: 失效情景, 探测器, 多目标, 优化设计, 计算流体力学

Abstract: At present,the study of optimization for gas detector placement is less concerned with the detector failure scenarios. In this paper,the optimization of hydrogen sulfide gas detector in a diesel hydrogenation unit was taken as an example. An optimization method for the placement of gas detectors under failure scenario was proposed. The preparation for the optimization includes identification of the potential release sources in the target area,establishment of the leakage scene set,reduction of the leakage scene used by clustering algorithm,and prediction of the dispersion real-time concentration field by computational fluid dynamics simulation. Both timeliness and robustness were taken into account as the evaluation index during the optimization. The minimization of detection time considering leakage scene probability,the detector failure probability,and the maximization of robustness of detector network were chosen as optimization goals, which combined logical constraints to establish mathematical programming model. A Pareto solution can be obtained by SA-PSO(particle swarm optimization algorithm based on simulated annealing) and TOPSIS(technique for order preference by similarity to an ideal solution) method. Finally,the final placement scheme can be determined by the different needs of the decision maker.

Key words: failure scenario, detectors, multi-objectives, optimization design, computational fluid dynamics