Journal of Platform Technology

ICT Platform Society (ICT플랫폼학회)
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Location-based smart hard hat for deforestation workers

산림 벌목 작업자간 측위 기반 스마트 안전모

  • Received : 2021.12.13
  • Accepted : 2022.01.07
  • Published : 2022.03.30
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Abstract

In high-risk workplaces where communication is not possible, such as deforestation, it is necessary to use equipment that monitors the worker's situation in real time and obtains information according to the worker's location in case of an emergency. This paper analyzes the development and demonstration experiments of smart hard hats for deforestation workers to maintain a safe working environment. The developed smart helmet identifies the location of the worker based on the UWB signal for location estimation, and it is necessary to keep the distance between the workers not too close. UWB, Gyro, and LoRa are used to communicate even in the communication shadow area. It is used to provide a safe working environment such as improved construction to reduce worker risks and risks in forest working environments.

산림 벌목과 같은 통신이 안되는 고위험 작업장은 작업자의 상황을 실시간으로 모니터링하여 비상상태 발생시 작업자 위치에 따른 정보를 획득하는 장비 활용이 필요하다. 본 논문은 산림 벌목 작업자들이 안전한 작업환경을 유지하기 위한 스마트 안전모의 개발과 실증 실험을 분석한다. 개발된 스마트 안전모는 위치추정을 위해 UWB 신호를 기반으로 작업자의 위치를 파악하며, 작업자 간의 거리를 가깝게 하지 않게 유지하는 것이 필요하다. 이를 위해 통신 음영 지역에서도 통신할 수 있도록 UWB, Gyro, LoRa 방법을 사용한다. 산림작업 환경의 작업자 위험 및 위험 저감을 위한 개선된 건설 등 안전 작업환경 제공에 사용한다.

Keywords

Acknowledgement

본 연구는 산림청(한국임업진흥원) 산림과학기술 '연구개발사업(2021285A00-2121-AD01)'의 지원에 의하여 이루어진 것입니다.

References

  1. "2016 Industrial Accident Analysis Data and Status of Industrial Accidents", KOSHA, 2017.12
  2. Sanghyun Son, Hoon Choi, Yeonsu Jung, Yunju Back, "The Design and Implementation of Precision RTLS in the Radio Shadow Area", The Journal of Korean Institute of Communications and Information Sciences Vol 35 No. 4, pp401-407, 2010.04
  3. Jae-Hwan Jung Seong-Ho Yang Kyung-Rak Sohn Hyun-Sik Kim Seung-Yun Nam, "Safety alert system for high-risk workers in electromagnetic shaded area", Proceedings of the Korean Institute of Communication Sciences Conference, pp. 370-371, 2016
  4. Kalman, Rudolph Emil, "A New Approach to Linear Filtering and Prediction Problems", Journal of Basic Engineering.82(1):35-45.doi:10.1115/1.3662552
  5. Seungyong Kim, Dongsik Kim, Incheol Hwang, Kyoungsoo Kim, Gyoungyong Kim, "A Study on Resolving Shadow Area of LoRa-based Communication for Workplace Safety", Proceeding of the Korean Society of Disaster Information, pp.282-286, 2019
  6. "Research service report on measures to strengthen national park disaster safety work using ICT technology", Korea National Park Service, 2019.11
  7. Su-Bin Park, Yun-Hee Kang, Yong-Hak Lee, Min-Ho Lee, Myung-Ju Kang, "Distance Estimation Method in Radio Shadow Area between Woodcutters for safe Forest Work by Kalman Filter", Proceedings of Korea Society for Internet Information, Vol. 21, No. 2, pp,67-68, 2020
  8. S. Gezici, Z. Tian, G.B. Giannakis, H. Kobayashi, A.F. Molisch, H.V. Poor, et al., "Localization via Ultra-Wideband Radios," IEEE Signal Processing Magazine, Vol. 22, No. 4, pp. 70-84, 2005