An artificial neural network model for predicting fatigue of construction workers in humid environments

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Climate change is experienced in many countries located in tropical/subtropical regions with generally hot/humid condition. Heat illness, particularly heat stroke, has caused a substantial increase in morbidity and mortality during heat waves. Thus, the high incidence of heat stroke is a pressing concern in the construction industry. Construction workers, being exposed to such unpleasant working environment, are at a higher risk of heat stress while undertaking physically demanding tasks. This paper aims to establish a model for predicting fatigue of construction workers in hot weather. During the period of summer months in 2010 and 2011, we conducted 39 field measurements on six construction sites in Hong Kong and collected a series of meteorological, personal, and work-related parameters. A total of 550 synchronized datasets were measured to establish the model. Artificial neural networks (ANNs), a type of artificial intelligence technology which implements more complex data-analysis features into existing applications, was applied to forecast the fatigue of construction workers. Performance measures including mean absolute percentage error (MAPE), R2, and root-mean-square deviation (RMSE) confirm that the established model is a good fitting with high accuracy. The ANN-based model presents a reliable and scientific forecast physical condition of workers which may enhance the occupational health and safety (OHS) in the construction industry.
Original languageEnglish
Title of host publicationISEC 2015 - 8th International Structural Engineering and Construction Conference
Subtitle of host publicationImplementing Innovative Ideas in Structural Engineering and Project Management
PublisherISEC Press
Pages1267-1272
Number of pages6
ISBN (Electronic)9780996043717
Publication statusPublished - 1 Jan 2015
Event8th International Structural Engineering and Construction Conference: Implementing Innovative Ideas in Structural Engineering and Project Management, ISEC 2015 - Sydney, Australia
Duration: 23 Nov 201528 Nov 2015

Conference

Conference8th International Structural Engineering and Construction Conference: Implementing Innovative Ideas in Structural Engineering and Project Management, ISEC 2015
Country/TerritoryAustralia
CitySydney
Period23/11/1528/11/15

Keywords

  • Back propagation neural networks (BPNN)
  • Construction industry
  • Heat stress
  • Multiple linear regression (MLR)
  • Occupational health and safety (OHS)
  • Rebar worker

ASJC Scopus subject areas

  • Building and Construction
  • Civil and Structural Engineering

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