基于不可用性及表决机制的探测器优化布置

在化工工业中，危险气体探测系统的表决机制以及失效问题对于探测器的网络布设至关重要。本文通过引入表决系统需求失效概率以及对探测系统表决逻辑进行分析，提出了一种基于不可用性及表决机制的探测器优化布置方法。首先对探测系统表决逻辑进行分析获得各逻辑回路参与表决的探测时间及需求失效概率，以所有泄漏扩散场景各级探测器的总探测时间最小化为目标函数，结合探测器数量和位置约束构建数学优化模型。其次以各候选探测器监测点为基因，基于遗传算法编写优化模型求解程序。最后利用泄漏扩散场景模拟数据作为输入值，求解得到不同探测器数量条件下的布置方案。通过对各布置方案的场景探测结果进行分析，验证了该方法在不同需求条件下的实用性。

Optimal placement of gas detector based on unavailability and voting logic

In the chemical industry, the voting logic and failure of hazardous gas detection system are very important for the network placement of detectors. In this paper, by introducing the probability of failure on demand (PFD) of the voting system and analyzing the voting logic of the detection system, a method for optimal placement of detectors based on unavailability and voting logic was proposed. The detection time and PFD of each loop in the voting were obtained based on the voting logic analysis, the minimization of total detection time at all levels detectors in each scenario was chosen as optimization goal, which combined the detectors’ number and position constraints to establish mathematical optimization models. Using the monitoring point of each candidate detector as the gene, an optimization program based on genetic algorithm was written to solve the mathematical programming model. By analyzing the scene detection results of each layout scheme, the practicability of the method under different requirements is verified.