Cost/Benefit Analysis of AIoT Image Sensing for Construction Safety Monitoring

被引：0

作者：

Wang, Rong-Jing ^{[1
]}

Yu, Wen-Der ^{[2
]}

Liao, Hsien-Chou ^{[3
]}

Chang, Hsien-Kuan ^{[2
]}

Lim, Zi-Yi ^{[4
]}

机构：

[1] Architecture and Building Research Institute, Ministry of Interior, New Taipei

[2] Department of Construction Engineering, Chaoyang University of Technology, Taichung

[3] Department of Computer Science and Information Technology, Chaoyang University of Technology, Taichung

[4] Department of Information and Communication Engineering, Chaoyang University of Technology, Taichung

来源：

Journal of Engineering, Project, and Production Management | 2024年 / 14卷 / 03期

关键词：

AIoT; benefit evaluation; construction safety; intelligent safety monitoring;

D O I：

10.32738/JEPPM-2024-0022

中图分类号：

学科分类号：

摘要：

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. Copyright © Journal of Engineering, Project, and Production Management (EPPM-Journal).

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