基于突变理论与BP神经网络的建筑施工安全综合评价

Building construction safety comprehensive evaluation based on catastrophe theory and BP neural network
XIA Rui，ZHANG Yu，YE Xiaotong
（Shanghai Institute of Technology，Shanghai 201418，China）
Abstract：A comprehensive evaluation model is designed to reduce the casualties in building construction. On the basis of the establishment of the building construction safety evaluation indicator system，the catastrophe theory is introduced for the safety evaluation from the perspective of the suddenness of accident. After the score of the underlying indicator is obtained，it is standardized and processed to obtain an original data. The low⁃dimensional catastrophe model in the catastrophe theory is used to deduce the high⁃dimensional catastrophe model，which is then applied to the evaluation process. The original data is processed by a hierarchical catastrophe model to obtain the total catastrophe membership. And then，the corresponding relations between the underlying indicators and the total catastrophe membership are achieved according to the fact that the scores of the underlying indicators are related to the safety status. The comprehensive evaluation value is obtained on the basis of the corresponding relations. In order to facilitate the safety evaluation of several construction sites， the BP neural network is combined with the catastrophe theory，and the original data and comprehensive evaluation values are input into the BP neural network for training to obtain the comprehensive evaluation model. The comprehensive model was applied to the specific cases. It can be seen that the evaluation results are consistent with the actual safety status of the cases. Therefore， the model is applicable to the building construction safety evaluation.
基于突变理论与 BP 神经网络的 建筑施工安全综合评价
夏 睿，张 裕，叶晓桐
（上海应用技术大学，上海 201418）
摘 要：为了减少建筑施工中人员伤亡问题，提出一种综合评价模型。在构建建筑施工安全评价指标体系的基础上，
从事故突发性角度入手，引入突变理论进行安全评价，在得到底层指标评分后，将其标准化处理为原始数据，由突变理论中
将此综合模型应用到实例，得出的评价结果与实例实际安全情况一致，认为此综合评价模型可适用于建筑施工安全评价。
关键词：综合评价；建筑施工安全；突变理论；BP 神经网络；综合评价模型；指标体系；突变隶属度
中图分类号：TN99⁃34；S372
文献标识码：A
文章编号：1004⁃373X（2021）09⁃0176⁃06
Keywords： comprehensive evaluation； building construction safety； catastrophe theory； BP neural network； comprehensive evaluation model；indicator system；catastro，应用于评价过程，将原始数据经过层次化突变模型得到系统总突变隶属度后，考虑到底
层指标评分具有安全意义，得到底层指标与系统总突变隶属度对应关系，并由对应关系得到综合评价值。为了便于对若干施
工地进行安全评价，将 BP 神经网络与突变理论相结合，将原始数据和综合评价值输入 BP 神经网络训练，得到综合评价模型。
2021 年 5 月 1 日 第 44 卷第 9 期
现代电子技术 Modern Electronics Technique
May 2021 Vol. 44 No. 9
176 DOI：10.16652/j.issn.1004⁃373x.2021.09.035
引用格式：夏睿，张裕，叶晓桐 . 基于突变理论与 BP 神经网络的建筑施工安全综合评价[J]. 现代电子技术，2021，44（9）：176⁃181.