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趙    靜 ¹ , 楊秀謙²

( 1. 廣西水利電力職業技術學院水利工程學院 ，廣西 南寧 530023 ; 2. 廣西水利電力職業技術學院信息工程學院 ，廣西 南寧 530023)

摘   要： 為降低高層建筑物人員疏散難度，提升消防通道規劃效果，研究基于蒙特卡羅定位算法的高層建筑物消防通道模糊建筑信息模型  (Building Information Modeling, BIM)規劃方法。在蒙特卡羅定位算法內添加遺傳算法的交叉與變異操作，改進蒙特卡羅定位算法，加快定位效率。利用改進蒙特卡羅定位算法，定位高層建筑物消防通道的模糊 BIM 軟件，結合關鍵位置定位結果，規劃消防通道路徑，建立消防通道模糊 BIM 規劃模型。利用 Revit 軟件，以調節模型質量精細度與曝光度的方式，效果渲染消防通道模糊 BIM 規劃模型，提升消防通道模糊BIM 規劃結果的逼 真度。實驗證明：該方法可精準定位消防通道關鍵位置；該方法可有效規劃消防通道路徑，構建消防通道模糊 BIM 規 劃模型；經過效果渲染后，該方法的消防通道模糊 BIM 規劃結果的逼真度較優。

關鍵詞： 蒙特卡羅定位； 高層建筑物； 消防通道； 模糊 BIM ; 規劃方法； 遺傳算法

中圖分類號： TP393      

文獻標志碼： A      

文章編號： 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

?基金項目： 廣西教育廳 ，廣西中青年教師科研項目，《 基于大數據和 BIM 技術的建筑工程項目全過程管理研究》（編號：2020KY33015) 。

作者簡介： 趙靜(1979—) , 女，碩士，工程師，研究方向： 建筑設備技術 ，BIM 技術應用和項目管理系統等。 

通信作者： 楊秀謙(1978—) , 男，高級工程師，主要研究方向： 大數據應用技術 ，物聯網應用技術。

收稿日期：2023-04-18