|本期目录/Table of Contents|

[1]王海清,王玉秀,宋贤生,等.采用遗传算法优化气体探测器布局策略研究[J].中国安全生产科学技术,2016,12(9):86-91.[doi:10.11731/j.issn.1673-193x.2016.09.016]
 WANG Haiqing,WANG Yuxiu,SONG Xiansheng,et al.Study on layout optimization strategy of gas detectors using genetic algorithm[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2016,12(9):86-91.[doi:10.11731/j.issn.1673-193x.2016.09.016]
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采用遗传算法优化气体探测器布局策略研究
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
12
期数:
2016年9期
页码:
86-91
栏目:
现代职业安全卫生管理与技术
出版日期:
2016-09-30

文章信息/Info

Title:
Study on layout optimization strategy of gas detectors using genetic algorithm
文章编号:
1673-193X(2016)-09-0086-06
作者:
王海清1王玉秀1宋贤生2刘祥妹1
(1.中国石油大学(华东)安全科学与工程系,山东 青岛 266580; 2.劳氏瑞安咨询有限公司,上海 200001)
Author(s):
WANG Haiqing1 WANG Yuxiu1 SONG Xiansheng2 LIU Xiangmei1
(1. Department of Safety Science and Engineering, China University of Petroleum, Qingdao Shandong 266580, China;2. Lloyd’s Register Consulting - Energy Inc., Shanghai 200001, China)
关键词:
火气系统探测网络布局优化浮式生产储油船遗传算法
Keywords:
FGS detection network layout optimization FPSO genetic algorithm
分类号:
X937
DOI:
10.11731/j.issn.1673-193x.2016.09.016
文献标志码:
A
摘要:
石油石化装置具有结构复杂且危险性高的特点,所加工物料多为易燃易爆有毒物质,且工艺单元之间集成度高,一旦发生泄漏若无法及时探测到则易形成气液积聚和火灾爆炸后果强化,装置拥塞度高使人员逃生困难。火气系统FGS作为安全关键系统,其中的气体探测网络如何快速可靠的实现对气体泄漏事件的探测显得尤为重要。已知探测时间,通过引入遗传算法利用其全局搜索的特点克服传统分支定界法的缺点,实现立体空间不同高度下设置探测网络达到场景全覆盖和缩短探测时间,同时求出探测时间附近的多组最优解,为探测器放置提供多种布置方案。通过与传统等间距探测器布置方案比较,从多种布置方案中选择更符合实际的最佳方案。通过海上浮式生产储油船的生产夹板气体探测案例,验证了所提方法的有效性。
Abstract:
The petrochemical plant has the characteristics of complex structure and high risk, containing inflammable, explosive and toxic substances, with high integration of process units. If the leakage is not detected immediately, it will lead to gas and liquid accumulation and strengthen the consequence of fire and explosion, and the personnel evacuation is difficult because of high congestion of plant. Fire & Gas System (FGS) is a safety critical system, and it is important for gas detection network of FGS to detect the gas leakage events rapidly and reliably. With the condition of known detection time, the genetic algorithm was introduced to overcome the disadvantage of traditional branch and bound method by using its characteristic of global searching. The layout of detection network with different height in three-dimension space can realize the full coverage of all scenarios and shortening the detection time, meanwhile, multiple groups of optimal solution near the detection time can be deduced, so as to provide various layout schemes of detector. By comparing with the traditional equal spacing layout scheme of detectors, the best scheme being more appropriate to practical situation was selected from various layout schemes. Through a case study of gas detection on production deck of Floating Production Storage and Offloading (FPSO), the effectiveness of the proposed method was verified.

参考文献/References:

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备注/Memo

备注/Memo:
山东省自然科学基金项目( ZR2013EEM030)
更新日期/Last Update: 2016-12-08