Evaluation Algorithm of Construction Project Safety Management Based on BP Neural Network

Jihuan Zhuo, Meiping Wang, Yuhao Wan, Xiudai Wang
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引用次数: 0

Abstract

At present, China’s construction market has achieved competitive bidding at home and abroad, and more and more construction projects are determined by bidding. Although the development and application of new building technologies have solved many technical difficulties in engineering construction, construction projects are not only characterized by complex construction technologies, but also by large investment funds, long construction period, many participants and complex construction environment factors. The construction industry is also prone to safety accidents, which is one of the characteristics of the construction industry. Especially under the condition of non-standard and unscientific construction accident control and management, the annual losses caused by construction accidents are very huge, which also restricts the development process of China’s construction industry. This paper uses the bid evaluation model of BP neural network algorithm to evaluate the safety management of construction project.
基于BP神经网络的建设项目安全管理评价算法
目前,中国建筑市场在国内外已经实现了竞争性招标,越来越多的建筑项目通过招标确定。虽然建筑新技术的开发和应用解决了工程建设中的许多技术难题,但建筑项目不仅具有施工技术复杂的特点,而且投资资金大、施工周期长、参与主体多、施工环境因素复杂。建筑业也容易发生安全事故,这是建筑业的特点之一。特别是在施工事故控制和管理不规范、不科学的情况下,每年因施工事故造成的损失是非常巨大的,这也制约了中国建筑业的发展进程。本文采用BP神经网络算法的评标模型对建设项目的安全管理进行评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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