首页|基于多目标优化及成本效益分析的古城镇微型消防站布局研究

基于多目标优化及成本效益分析的古城镇微型消防站布局研究

扫码查看
古城镇含有大量火灾风险较大的木质建筑,微型消防站被普遍应用于古城镇消防.不同于传统的消防站选址问题,古城镇微型消防站布局的难点在于要考虑路网的连通性,同时在有限投资下找到最佳消防站点布局(包括位置和数量).针对该问题,本文提出基于多目标优化及成本效益分析的古城镇微型消防站布局研究,首先绘制古城镇道路无向图,使用Dijkstra算法计算最优路径得出消防站点可覆盖矩阵;然后以3 min路网可达性作为约束条件,构建最大覆盖率和最小消防站点数为目标的优化问题,通过非支配遗传算法求解最优消防站点位置集;最后通过分析成本与数量之间的关系,确定最佳消防站点数量及布局.以中国西南地区的一个古镇为例进行说明,在设置7个消防站点的条件下,本文给出的布局方案与现役方案相比减少了一个站点,而覆盖率增长7.5%.结果证明:所提出的方法能够有效确认经济性最佳、覆盖范围最大的消防站位置集.
Study on the Layout of Miniature Fire Stations in Ancient Towns Based on Multi-Objective Optimisation and Cost-Benefit Analysis
Miniature fire stations are often used for firefighting in old cities,which contain a large number of wooden buildings with a high fire risk.Unlike the traditional fire station siting problem,the difficulty in designing micro fire sta-tions in old cities is to consider the connectivity of the road network while finding the optimal fire station layout(in-cluding location and number)with limited investment.To address this problem,this paper proposes a study on the lay-out of micro fire stations in old cities based on multi-objective optimisation and cost-benefit analysis.First,an undi-rected map of the roads in ancient towns is drawn and the optimal paths are calculated to obtain the coverage matrix of fire station locations using Dijkstra's algorithm;then,the optimisation problem with the objectives of maximum cover-age and minimum number of monitoring points is constructed using accessibility to the 3 min road network as the con-straint and solving the optimal fire station locations by a non-dominated genetic algorithm;finally,the optimal num-ber and layout of fire stations are determined by analysing the relationship between cost and quantity.The method is il-lustrated with an example of an ancient city in southwest China.Under the condition of setting 7 fire stations,The lay-out plan presented in this article reduces one station compared to the active plan,while increasing coverage by 7.5%,and the results prove that the proposed method can effectively confirm the fire station location set with the most econo-my and the largest coverage.

miniature fire stationsmulti-objective optimisationcost-benefit analysisancient town complexes

卢昊维、杜坤、周明

展开 >

昆明理工大学 建筑工程学院,昆明 650031

微型消防站 多目标优化 成本效益分析 古城镇建筑群

国家自然科学基金

52260011

2024

科技通报
浙江省科学技术协会

科技通报

CSTPCDCHSSCD
影响因子:0.457
ISSN:1001-7119
年,卷(期):2024.40(6)