Journal of Engineering, Project, and Production Management, 2024, 14(3), 0022
Cost/Benefit Analysis of AIoT Image Sensing for Construction Safety Monitoring
1Director, Architecture and
Building Research Institute, Ministry of Interior, New Taipei, 23143
Taiwan, E-mail: jing@abri.gov.tw
2Professor, Department of Construction Engineering, Chaoyang
University of Technology, Taichung, 413310 Taiwan, E-mail: wenderyu@cyut.edu.tw
(corresponding author).
3Professor, Department of Computer Science and Information
Technology, Chaoyang University of Technology, Taichung, 413310 Taiwan,
E-mail: hcliao@cyut.edu.tw
4Researcher, Department of Construction Engineering, Chaoyang
University of Technology, Taichung, 413310 Taiwan, E-mail: hkchang@cyut.edu.tw
5Assistant Professor, Department of Information and
Communication Engineering, Chaoyang University of Technology, Taichung,
413310 Taiwan, E-mail: zylim@cyut.edu.tw
Project Management
Received May 19, 2023; received revision May 30, 2023; accepted November 5, 2023
Available online September 27, 2024
Abstract: Rapid advances in deep learning and computer vision enable traditional cloud-based decision-making through edge computing with the Artificial Intelligent Internet of Things (AIoT) image sensors (AIoT-IS), thus improving the timeliness and security of image recognition. This study is indented to investigate the potential costs and benefits of AIoT-IS applications. This study summarizes AIoT-IS application scenarios for construction safety monitoring and proposes a cost/benefit analysis method for AIoT-IS implementation projects. According to the case study results, AIoT-IS achieves significant benefits, with a Net Present Value Index (NPVI) of 19.17% and a Benefit/Cost Ratio (BCR) of 4.65 as applied to construction site safety monitoring. Interviews with domain experts also provided qualitative feedback, pointing to the directions for future research. The proposed method is applicable for the decision-making of AIoT-IS adoption and the feasibility assessment of other innovative construction technologies.
Keywords: AIoT, construction safety, intelligent safety monitoring, benefit evaluation
Copyright © Journal of Engineering, Project, and Production Management (EPPM-Journal).
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.
Requests for reprints and permissions at eppm.journal@gmail.com.
Citation: Wang, R. J., Yu, W. D., Liao, H. C., Chang, H. K., and Lim, Z. Y. (2024). Cost/Benefit Analysis of AIoT Image Sensing for Construction Safety Monitoring. Journal of Engineering, Project, and Production Management, 14(3), 0022.
DOI:
10.32738/JEPPM-2024-0022
Full Text
