中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (3): 62-67.doi: 10.16265/j.cnki.issn1003-3033.2018.03.011

• 安全工程技术科学 • 上一篇    下一篇

化工园区消防站多目标选址模型

关文玲 副教授, 张孟军, 董呈杰, 谢继彪   

  1. 天津理工大学 环境科学与安全工程学院, 天津 300384
  • 收稿日期:2017-12-17 修回日期:2018-02-05 出版日期:2018-03-28
  • 作者简介:关文玲 (1978—),女,陕西蒲城人,博士,副教授,从事化工园区风险评估及应急管理方面的研究。E-mail:hjgwl@163.com。张孟军 (1991—),男,河南孟州人,硕士研究生,主要研究方向为化工园区风险评估及应急管理。E-mail:zhangmj7879@163.com。
  • 基金资助:
    国家级大学生创新创业训练项目(201610060055)。

Study on multi-objective programming model for locating fire stations in chemical industry park

GUAN Wenling, ZHANG Mengjun, DONG Chengjie, XIE Jibiao   

  1. College of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China
  • Received:2017-12-17 Revised:2018-02-05 Published:2018-03-28

摘要: 为提高化工园区的应急能力,针对化工园区内消防站的选址问题,建立一个消防站多目标选址模型。分析影响消防站选址的经济、时间、距离及覆盖率等基本因素,利用潜在生命损失值(PLL)对化工园区进行风险评估;建立消防站选址的约束条件,进而通过计算实现消防站的选址;通过实例验证模型的有效性。结果表明:该模型能综合考虑潜在生命损失值和影响消防站选址的因素,确定化工园区消防站位置,完善园区消防安全体系。

关键词: 化工园区, 潜在生命损失值(PLL), 消防站, 风险评价, 多目标选址, 选址优化

Abstract: For the sake of improving the emergency response capability of chemical industry parks, a multi-objective location model of fire stations was built in this paper. The basic factors influencing the fire stations location were analyzed, including the economic factor, time factor, distance factor and coverage factor. The risks in a typical chemical industry park were assessed by means of the value of potential loss of life. The constraint conditions of fire stations location were established in combination with influence factors based on the risk assessment. Then the location of fire stations was realized. The effectiveness of the model have been verified by a case. The result shows that the model can consider both the potential loss of life and the factors affecting the location of fire stations, and therefor realize the fire stations location and improve the fire safety system of the park.

Key words: chemical industry park, potential loss of life(PLL), fire station, risk assessment, multi-objective programming, location optimization

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