Title: Research on construction engineering safety early warning based on BP neural network

Authors: Linyu Liu; Xuejie Wang; Congru Zhang; Xikun Li

Addresses: Department of Public Environment Art, Anhui University of Technology, Maanshan, Anhui Province, China ' Department of Public Environment Art, Anhui University of Technology, Maanshan, Anhui Province, China ' Department of Public Environment Art, Anhui University of Technology, Maanshan, Anhui Province, China ' Department of Public Environment Art, Anhui University of Technology, Maanshan, Anhui Province, China

Abstract: In the process of China's reform and opening up, the development of the construction industry has greatly promoted the development of China's economy, and the construction industry is also one of China's pillar industries. Owing to the particularity of the construction industry, construction engineering safety accidents occur frequently and there are many influencing factors of safety accidents. In order to break through this limitation, this research introduces an adaptive learning algorithm with additional momentum to optimise and improve the model. Through the simulation analysis of 10 groups of sample data of MATLAB, it can be seen that the proposed construction engineering safety early warning model has good convergence and accuracy, and can be applied to specific engineering practice.

Keywords: BP neural network; building construction; project safety; early warning; model.

DOI: 10.1504/IJWMC.2022.124819

International Journal of Wireless and Mobile Computing, 2022 Vol.22 No.3/4, pp.281 - 289

Received: 19 Oct 2021
Accepted: 04 Mar 2022
Published online: 09 Aug 2022 *

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