西安科技大学学报2024，Vol.44Issue(4)：615-626,12.DOI:10.13800/j.cnki.xakjdxxb.2024.0401
基于案例推理与多目标优化的高层建筑火灾救援装备调配
High-rise building fire rescue equipment deployment based on case reasoning and multi-objective optimization
摘要
Abstract
In order to enhance the efficiency of emergency response in high-rise building fires and re-duce potential casualties and economic losses caused by accidents.Firstly,this study established a typi-cal case database of high-rise building fires and constructed a fire rescue equipment demand prediction model to solve the demand for equipment at the incident site.Secondly,optimization objectives for fire-fighting and rescue equipment deployment were proposed from three aspects:efficiency,rationality,and reliability.Finally,the corresponding objective functions were constructed.Finally,a multi-objective op-timization model with the minimum emergency rescue points and the most reliable deployment routes was constructed under the premise of minimizing deployment time.The effectiveness of the optimized solution was validated using a case study approach.In the case study,the 21 emergency rescue points in the main urban area of Xi'an city were taken as the research objects.The demand prediction model was used to solve the fire rescue equipment requirements of the target accident case.Based on the re-search area and the overview of emergency rescue points,ArcGIS network analysis was used to calcu-late the shortest deployment time from each emergency rescue point to the incident location.And then the multi-objective optimization model was utilized to select the optimal deployment plan.The results show that the optimal deployment plan has a deployment time of 7′34″,a total of 7 emergency rescue points and a reliability rate of 64%.which verifies the effectiveness and feasibility of the model and so-lution method.The optimal deployment plan path is visualized in ArcGIS.The research findings can provide reliable solutions for addressing emergency needs in areas affected by urban high-rise building fire affected areas,and offer guidance for achieving efficient emergency resue in such accidents.关键词
高层火灾/应急救援/装备调配/ArcGIS/需求预测/多目标优化Key words
high-rise building fire/emergency rescue/equipment deployment/ArcGIS/demand forecas-ting/multi-objective optimization分类
化学化工引用本文复制引用
郑学召,张会,徐承宇,童鑫,范永超,严瑞锦..基于案例推理与多目标优化的高层建筑火灾救援装备调配[J].西安科技大学学报,2024,44(4):615-626,12.基金项目
国家自然科学基金项目(52174197) （52174197）
陕西省社会科学基金项目(2022R058) （2022R058）
陕西省哲学社会科学研究专项项目(2023HZ1554) （2023HZ1554）
