건설관리 (Construction Engineering and Management)

한국건설관리학회 (Korea Institute of Construction Engineering and Management)
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IoT 기반 건설현장 안전관리 기술

  • 발행 : 2021.06.20
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참고문헌

  1. 장상춘, 임형철, 2020, 건설업 산업재해 감소를 위한 산업구조 및 고용구조 개선 방안, 산업안전보건연구원,https://oshri.kosha.or.kr/oshri/publication/researchReportSearch.do? mode=download&articleNo=419749&attachNo=237052 (2021.05.10)
  2. Hwang, S., & Lee, S. (2017). Wristband-type wearable health devices to measure construction workers' physical demands. Automation in Construction, 83, 330-340. https://doi.org/10.1016/j.autcon.2017.06.003
  3. Jebelli, H., Hwang, S., & Lee, S. (2018). EEG-based workers' stress recognition at construction sites. Automation in Construction, 93, 315-324. https://doi.org/10.1016/j.autcon.2018.05.027
  4. Kim, D., Lee, S., & Kamat, V. R. (2020). Proximity Prediction of Mobile Objects to Prevent Contact-Driven Accidents in Co-Robotic Construction. Journal of Computing in Civil Engineering, 34(4), 04020022. https://doi.org/10.1061/(asce)cp.1943-5487.0000899
  5. Nath, N. D., Behzadan, A. H., & Paal, S. G. (2020). Deep learning for site safety: Real-time detection of personal protective equipment. Automation in Construction, 112, 103085. https://doi.org/10.1016/j.autcon.2020.103085
  6. Smartvid.io, https://www.smartvid.io/safety-monitoring (2021.05.10)
  7. Soltanmohammadlou, N., Sadeghi, S., Hon, C. K., & Mokhtarpour-Khanghah, F. (2019). Real-time locating systems and safety in construction sites: A literature review. Safety science, 117, 229-242. https://doi.org/10.1016/j.ssci.2019.04.025
  8. Triax Technologies , https://www.triaxtec.com (2021.05.10)
  9. Yang, K., & Ahn, C. R. (2019). Inferring workplace safety hazards from the spatial patterns of workers' wearable data. Advanced Engineering Informatics, 41, 100924. https://doi.org/10.1016/j.aei.2019.100924
  10. Yang, K., Ahn, C. R., & Kim, H. (2020). Deep learning-based classification of work-related physical load levels in construction. Advanced Engineering Informatics, 45, 101104. https://doi.org/10.1016/j.aei.2020.101104