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赵    静 ¹ , 杨秀谦²

( 1. 广西水利电力职业技术学院水利工程学院 ，广西 南宁 530023 ; 2. 广西水利电力职业技术学院信息工程学院 ，广西 南宁 530023)

摘   要： 为降低高层建筑物人员疏散难度，提升消防通道规划效果，研究基于蒙特卡罗定位算法的高层建筑物消防通道模糊建筑信息模型  (Building Information Modeling, BIM)规划方法。在蒙特卡罗定位算法内添加遗传算法的交叉与变异操作，改进蒙特卡罗定位算法，加快定位效率。利用改进蒙特卡罗定位算法，定位高层建筑物消防通道的模糊 BIM 软件，结合关键位置定位结果，规划消防通道路径，建立消防通道模糊 BIM 规划模型。利用 Revit 软件，以调节模型质量精细度与曝光度的方式，效果渲染消防通道模糊 BIM 规划模型，提升消防通道模糊BIM 规划结果的逼 真度。实验证明：该方法可精准定位消防通道关键位置；该方法可有效规划消防通道路径，构建消防通道模糊 BIM 规 划模型；经过效果渲染后，该方法的消防通道模糊 BIM 规划结果的逼真度较优。

关键词： 蒙特卡罗定位； 高层建筑物； 消防通道； 模糊 BIM ; 规划方法； 遗传算法

中图分类号： TP393      

文献标志码： A      

文章编号： 1005-8249 (2023) 04-0100-06

DOI : 10. 19860/j.cnki.issn1005-8249.2023.04.017

ZHAO Jing¹ , YANG Xiuqian²

( 1. School of Hydraulic Engineering , Guangxi Vocational College of Water

Resources and Electric Power, Nanning 530023 , China;

2. School of Information Engineering , Guangxi Vocational College of Water

Resources and Electric Power, Nanning 530023 , China)

Abstract: To reduce the difficulty of personnel evacuation in high-rise buildings and improve the effectiveness of fire passage planning, a Building Information Modeling (BIM) planning method based on Monte Carlo positioning algorithm for high-rise building fire passage is studied. Add crossover and mutation operations of genetic algorithm to the Monte Carlo localization algorithm, and improve the Monte Carlo localization algorithm to accelerate localization efficiency. Utilize improved Monte Carlo localization algorithm to locate key locations in high-rise building fire exits. Fuzzy Generalization through Interval Intuition λ- Shapley Choquet integration method, selecting fuzzy BIM software for fire passage planning. Using the selected fuzzy BIM software and combining the key location positioning results, plan the path of the fire passage and establish a fuzzy BIM planning model for the fire passage. Using Revit software to adjust the quality, precision, and exposure of the model, rendering the fuzzy BIM planning model of the fire passage, and improving the fidelity of the fuzzy BIM planning results of the fire passage. The experiment proves that this method can accurately locate the key positions of fire exits; This method can effectively plan the path of fire exits and construct a fuzzy BIM planning model for fire exits; After rendering the effect, the fidelity of the fuzzy BIM planning results of the fire passage using this method is better.

Keywords: Monte Carlo localization; high rise buildings; fire engine access; fuzzy BIM;planning method; genetic algorithm

∗基金项目： 广西教育厅 ，广西中青年教师科研项目，《 基于大数据和 BIM 技术的建筑工程项目全过程管理研究》（编号：2020KY33015) 。

作者简介： 赵静(1979—) , 女，硕士，工程师，研究方向： 建筑设备技术 ，BIM 技术应用和项目管理系统等。 

通信作者： 杨秀谦(1978—) , 男，高级工程师，主要研究方向： 大数据应用技术 ，物联网应用技术。

收稿日期：2023-04-18