Research on fuzzy comprehensive evaluation of fire risk in ancient buildings

The study of the distribution pattern of fire risk in ancient buildings can provide a starting point for emergency measures to be taken in case of possible fires. Based on the fire characteristics, system complexity, and geographic information attributes of large palace ancient building complexes, t...

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Main Authors: Zhiming Wang, Jiangnan Peng, Xinzhi Liu, Changan Di, Zhifang Zhang, Yining Wang
Format: Article
Language:English
Published: Maximum Academic Press 2024-01-01
Series:Emergency Management Science and Technology
Subjects:
Online Access:https://www.maxapress.com/article/doi/10.48130/emst-0024-0018
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author Zhiming Wang
Jiangnan Peng
Xinzhi Liu
Changan Di
Zhifang Zhang
Yining Wang
author_facet Zhiming Wang
Jiangnan Peng
Xinzhi Liu
Changan Di
Zhifang Zhang
Yining Wang
author_sort Zhiming Wang
collection DOAJ
description The study of the distribution pattern of fire risk in ancient buildings can provide a starting point for emergency measures to be taken in case of possible fires. Based on the fire characteristics, system complexity, and geographic information attributes of large palace ancient building complexes, this paper adopts a fuzzy comprehensive evaluation method combining fuzzy mathematics and analytic hierarchy process to construct a fire risk evaluation system for ancient buildings, which includes six criteria and 28 indicators such as the value index, and the fire likelihood. For the evaluation method of this system, the expert scoring and Analytic Hierarchy Process are used to determine the weights of various indicators. Then, the multiple rounds of expert analysis with a review of relative literature, the membership degree of each indicator is analyzed one-by-one, and the final risk model, and risk factor are determined. By combining MHMapGIS technology, this comprehensive evaluation method was applied as an example to the Imperial Palace (large Ming and Qing ancient architectural buildings) in Beijing (China) for grid and visual analysis, and the rationality of the results were verified. The evaluation results can intuitively and reasonably show the distribution of fire risk, indicating that the constructed evaluation system and its model method display a certain of feasibility.
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spelling doaj-art-5f5ee500e44a4400921fde84ded6b2d12025-08-20T02:12:33ZengMaximum Academic PressEmergency Management Science and Technology2832-448X2024-01-01411810.48130/emst-0024-0018emst-0024-0018Research on fuzzy comprehensive evaluation of fire risk in ancient buildingsZhiming Wang0Jiangnan Peng1Xinzhi Liu2Changan Di3Zhifang Zhang4Yining Wang5School of Mechanical Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Street, Xuanwu District, Nanjing 210094, Jiangsu, ChinaSchool of Mechanical Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Street, Xuanwu District, Nanjing 210094, Jiangsu, ChinaSchool of Mechanical Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Street, Xuanwu District, Nanjing 210094, Jiangsu, ChinaSchool of Mechanical Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Street, Xuanwu District, Nanjing 210094, Jiangsu, ChinaPalace Museum, 4 Jingshanqian Street, Dongcheng District, Beijing 100009, ChinaPalace Museum, 4 Jingshanqian Street, Dongcheng District, Beijing 100009, ChinaThe study of the distribution pattern of fire risk in ancient buildings can provide a starting point for emergency measures to be taken in case of possible fires. Based on the fire characteristics, system complexity, and geographic information attributes of large palace ancient building complexes, this paper adopts a fuzzy comprehensive evaluation method combining fuzzy mathematics and analytic hierarchy process to construct a fire risk evaluation system for ancient buildings, which includes six criteria and 28 indicators such as the value index, and the fire likelihood. For the evaluation method of this system, the expert scoring and Analytic Hierarchy Process are used to determine the weights of various indicators. Then, the multiple rounds of expert analysis with a review of relative literature, the membership degree of each indicator is analyzed one-by-one, and the final risk model, and risk factor are determined. By combining MHMapGIS technology, this comprehensive evaluation method was applied as an example to the Imperial Palace (large Ming and Qing ancient architectural buildings) in Beijing (China) for grid and visual analysis, and the rationality of the results were verified. The evaluation results can intuitively and reasonably show the distribution of fire risk, indicating that the constructed evaluation system and its model method display a certain of feasibility.https://www.maxapress.com/article/doi/10.48130/emst-0024-0018fire risk assessmentanalytic hierarchy processfuzzy comprehensive evaluationmhmapgis
spellingShingle Zhiming Wang
Jiangnan Peng
Xinzhi Liu
Changan Di
Zhifang Zhang
Yining Wang
Research on fuzzy comprehensive evaluation of fire risk in ancient buildings
Emergency Management Science and Technology
fire risk assessment
analytic hierarchy process
fuzzy comprehensive evaluation
mhmapgis
title Research on fuzzy comprehensive evaluation of fire risk in ancient buildings
title_full Research on fuzzy comprehensive evaluation of fire risk in ancient buildings
title_fullStr Research on fuzzy comprehensive evaluation of fire risk in ancient buildings
title_full_unstemmed Research on fuzzy comprehensive evaluation of fire risk in ancient buildings
title_short Research on fuzzy comprehensive evaluation of fire risk in ancient buildings
title_sort research on fuzzy comprehensive evaluation of fire risk in ancient buildings
topic fire risk assessment
analytic hierarchy process
fuzzy comprehensive evaluation
mhmapgis
url https://www.maxapress.com/article/doi/10.48130/emst-0024-0018
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AT xinzhiliu researchonfuzzycomprehensiveevaluationoffireriskinancientbuildings
AT changandi researchonfuzzycomprehensiveevaluationoffireriskinancientbuildings
AT zhifangzhang researchonfuzzycomprehensiveevaluationoffireriskinancientbuildings
AT yiningwang researchonfuzzycomprehensiveevaluationoffireriskinancientbuildings