Optimization method for fire rescue equipment allocation based on fuzzy needs assessment and AnyLogic simulation

IF 4.8 3区工程技术 Q2 ENGINEERING, CHEMICAL

Journal of Loss Prevention in The Process Industries Pub Date : 2026-04-01 Epub Date: 2025-12-23 DOI:10.1016/j.jlp.2025.105898

Yi Yang , Jikuo Zhang , Guanxia Zheng , Yun-Ting Tsai

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引用次数: 0

Abstract

The suitability and rationality of fire and rescue equipment allocation are central to effectively responding to regional fires and emergency operations. However, current fire station equipment deployment in China is largely based on standardized national guidelines, with limited consideration of regional variations and local risk profiles. This study integrates fuzzy set-valued statistics for demand assessment and AnyLogic agent-based modelling for dynamic simulation. This method is based on the Standard for Construction of Urban Fire Station in China. It combines local fire safety risk assessments, disaster and accident risk analyses, and evaluations of existing firefighting equipment to determine the actual needs for firefighting and rescue resources. These factors are then used to derive formulas that calculate both the required quantities and the prioritization of equipment allocation in each region. The result is a customized allocation framework that is adaptable to the unique operational conditions and risks of different regions.

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基于模糊需求评估和AnyLogic仿真的消防救援设备配置优化方法

消防和救援设备配置的适宜性和合理性是有效应对区域火灾和应急行动的关键。然而，中国目前的消防站设备部署主要基于标准化的国家指导方针，很少考虑区域差异和当地风险概况。本研究将需求评估的模糊集值统计与动态仿真的AnyLogic智能体建模相结合。该方法依据《中国城市消防站建设标准》。它结合了当地消防安全风险评估、灾害和事故风险分析，以及对现有消防设备的评估，以确定消防和救援资源的实际需求。然后使用这些因素推导出计算所需数量和每个地区设备分配优先级的公式。其结果是一个定制的分配框架，可以适应不同地区独特的操作条件和风险。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Loss Prevention in The Process Industries 工程技术-工程：化工

CiteScore

7.20

自引率

14.30%

发文量

226

审稿时长

52 days

期刊介绍： The broad scope of the journal is process safety. Process safety is defined as the prevention and mitigation of process-related injuries and damage arising from process incidents involving fire, explosion and toxic release. Such undesired events occur in the process industries during the use, storage, manufacture, handling, and transportation of highly hazardous chemicals.