基于不可用性及表决机制的探测器优化布置

doi:10.16085/j.issn.1000-6613.2019-1281

化工进展 ›› 2020, Vol. 39 ›› Issue (6): 2503-2509.DOI: 10.16085/j.issn.1000-6613.2019-1281

基于不可用性及表决机制的探测器优化布置

张景康¹(), 王海清¹(), 姜巍巍², 齐心歌¹

^1.中国石油大学(华东)安全科学与工程系，山东青岛 266580
^2.中国石化青岛安全工程研究院，山东青岛 266071

出版日期:2020-06-05 发布日期:2020-06-16
通讯作者: 王海清
作者简介:张景康（1994—），男，硕士研究生，从事火气系统探测器优化布置研究。E-mail：zhangjingkang123@126.com。
基金资助:
国家重大科技专项(D719-ZGSY-555);山东省自然科学基金(ZR201702160283)

Optimal placement of gas detector based on unavailability and voting logic

Jingkang ZHANG¹(), Haiqing WANG¹(), Weiwei JIANG², Xinge QI¹

^1.Safety and Science Engineering, China University of Petroleum, Qingdao 266580, Shandong, China
^2.China Petroleum and Chemical Corporation Qingdao Security Engineering Research Institute, Qingdao 266071, Shandong, China

Online:2020-06-05 Published:2020-06-16
Contact: Haiqing WANG

摘要/Abstract

摘要：

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。

关键词: 探测器布置, 不可用性, 表决系统, 数学优化, 遗传算法

Abstract:

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.

Key words: detector placement, unavailability, voting system, mathematical optimization, genetic algorithm

中图分类号:

TE967

张景康, 王海清, 姜巍巍, 齐心歌. 基于不可用性及表决机制的探测器优化布置[J]. 化工进展, 2020, 39(6): 2503-2509.

Jingkang ZHANG, Haiqing WANG, Weiwei JIANG, Xinge QI. Optimal placement of gas detector based on unavailability and voting logic[J]. Chemical Industry and Engineering Progress, 2020, 39(6): 2503-2509.

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基于不可用性及表决机制的探测器优化布置

Optimal placement of gas detector based on unavailability and voting logic

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