[논문]건설장비의 안전 솔루션 기술 동향

김용진; 서명국

doi:10.7839/ksfc.2023.20.2.007

건설장비의 안전 솔루션 기술 동향
Technological Trends in Safety Solutions for Construction Equipment 원문보기

드라이브ㆍ컨트롤 = Journal of drive and control, v.20 no.2, 2023년, pp.7 - 14

김용진 (HYUNDAI M SYSTEMS) , 서명국 (Korea Construction Equipment Technology Institute)

Abstract ▼ AI-Helper

Negative perceptions of the construction industry are prevalent due to the high accident rate at construction sites. Recently, with the gradual change of the perception in industrial safety, the demand for improving the safety level of construction sites has increased. Accordingly, the government is preparing various safety-level measures such as the Serious Disaster Punishment Act and support for industrial safety management costs. In addition, private industries are incorporating various safety equipment in the sites. This paper introduced the current status of safety sensors and solutions currently applied to construction equipment and industrial vehicles. The technology development direction suitable for construction equipment was introduced by comparing the operating environment of automobiles and construction equipment. and the need to develop performance standards to protect and revitalize the market for safety devices for construction equipment was suggested.

주제어

표/그림 (13)

그림 Fig. 1 Around view monitoring system⁵⁾
표 Table 1 Features by camera
그림 Fig. 2 Hitachi's aerial angle vision display system¹¹⁾
그림 Fig. 3 Caterpillar’s object detection system¹²⁾
그림 Fig. 4 RTLS device
표 Table 2 Comparison of wireless communication devices
그림 Fig. 5 Evolution of Yolo model²²⁾
표 Table 3 Comparison of AI development points for automobiles and construction equipment
그림 Fig. 6 Concept of sensor fusion
그림 Fig. 7 Sensing angle of automobiles and construction machinery
그림 Fig. 8 Safety solution of Komatsu23)
표 Table 4 Comparison of safety solutions in construction equipment
그림 Fig. 9 Safety solution of Hyundai M Systems

참고문헌 (23)

K. J. Kim, "One in five deaths in the construction？industry is the cause of construction machinery and？equipment," Korea specialty contractors association,？Dec. 21, 2021, https://www.koscaj.com/news/articleView.html?idxno223733.
S. G. Jeong, "Case Study of Construction？Equipment Death Accident and Countermeasures,"？Critical Incident Issue Report, Korea Occupational？Safety and Health Agency, Dec. 1, 2021.
G. S. Gwak, D. G. Kim and S. H. Hwang,？"Precision Localization of Vehicle using AVM？Image and RTK GPS for Urban Driving," Journal？of Drive and Control, Vol.17 No.4 pp.72-79, 2020.
D. J. Yeom, J. H. Seo, H. S. Yeom, H. S. Yoo？and Y. S. Kim, "The development of around view？monitoring system pilot type for construction？equipment," Korean journal of construction？engineering and management, Vol.17, No.3,？pp.143-155, 2016.
"AI-based next-generation Smart Excavator," HD？Hyundai Construction Equipment Press Release,？2020, https://www.hyundai-ce.com/ko/innovation/ai.
B. W. Jo, Y. S. Lee, D. K. Kim, J. H. Kim, and？P. H. Choi, "Image-based proximity warning system？for excavator of construction sites," The journal of？the korea contents association, Vol.16, No.10.？pp.588-597, 2016.
M. K. Seo, B. J. Yoon, H. Y. Shin and K. J. Lee,？"Development of an Integrated Sensor Module for？Terrain Recognition at Disaster Sites," Journal of？Drive and Control, Vol.17 No.3 pp.9-14, 2020.
J. C. Kim, Y. J Kim, M. G. Kim and H. M. Lee,？"Collision Avoidance Sensor System for Mobile？Crane," Journal of Drive and Control, Vol.19 No.4？pp.62-69, 2022.
J. I. Lee, G.S. Gwak, K. S. Kim, W.Y. Kang D.？Y. Shin and S. H. Hwang, "Development of Virtual？Simulator and Database for Deep Learning-based？Object Detection," Journal of Drive and Control,？Vol.18, No.4, pp.9-18, 2021.
"Improved Detection Capabilities Create Safer？Vehicles, News, Nov. 29, 2016,？https://www.oemoffhighway.com/electronics/sensors/proximity-detection-safety-systems/article/20841041/object-detection-article.
H. Y. Jeong, "INFOWORKS-Vixen, 4D LIDA New？Product Launch," News, etnews, Nov. 8, 2022,？ https://www.etnews.com/20221108000156
"Cat® Rear Object Detection", Product catalog,？2022, https://www.cat.com.
M. Todd and P. E. Ruff, "Mining Publication:？Monitoring Blind Spots: A Major Concern for Haul？Trucks", Centers for disease control and prevention,？2001.
"Comparison of Bluetooth RTLS with other RTLS？technologies such as RFID and UWB," News,？People&Technology, Jan. 1, 2018,？ https://pntbiz.co.kr/index.php/2018/01/16/023/.
D. R. Kishore, "Comparing RTLS Tags: RFID vs？BLE vs UWB vs Wi-Fi," News, Syook, 2022,？ https://www.syook.com/post/comparing-rtls-tags-rfidvs-ble-vs-uwb-vs-wi-fi.
K. S. Kim, S. H Hwang, J. I, Lee, S. W. Gwak,？W. Y. Kang and D. Y Shin, "Construction of？Database for Deep Learning-based Occlusion Area？Detection in the Virtual Environment", Journal of？Drive and Control, Vol.19, No.3, pp.9-15, 2022.
B. H. Jeon, "Trends and Implications of China's？Artificial Intelligence Industry: China's AI Rise and？Success Strategy", Trade Focus, Institute for？international trade, Vol.23, 2021.
K. Uchiyama, "Japan's Komatsu Selects NVIDIA as？Partner for Deploying AI to Create Safer, More？Efficient Construction Sites", NVIDIA Press？Release, Dec. 12, 2017,？https://nvidianews.nvidia.com/news/japans-komatsu-selects-nvidia-as-partner-for-deploying-ai-to-create-safermore-efficient-construction-sites.
"The Amazing Ways John Deere Uses AI And？Machine Vision To Help Feed 10 Billion People",？News, Mar. 15, 2019,？https://www.forbes.com/sites/bernardmarr/2019/03/15/t？he-amazing-ways-john-deere-uses-ai-and-machine-visi？on-to-help-feed-10-billion-people/?sh48b963812ae9.
J. H. Won, J. T. Jeon, Y. K. Hong, C. J. Yang, K.？C. Kim, K. D. Kwon and G. H. Kim, "Study on Traveling Characteristics of Straight Automatic？Steering Devices for Drivable Agricultural？Machinery", Journal of Drive and Control, Vol.19,？No.4, pp.19-28, 2022.
S. B. Shim and S. I. Choi, "Development on？identification algorithm of risk situation around？construction vehicle using YOLO-v3", Journal of？the Korea academia-industrial cooperation society,？Vol.20, No.7, pp.622-629, 2019.
M. Choinski, M. Rogowski, P. Tynecki, P. J.？Kuijper, M. Churski and J. W. Bubnicki, "A first？step towards automated species recognition from？camera trap images of mammals using AI in a？european temperate forest," CISIM 2021, LNCS？12883, pp. 299-310, 2021.
K. Nakazawa, T. Eguchi and M. Machida,？"KomVision Human Detection and Collision？Mitigation System PC200-11, Komatus Technical？Report, Vol.67, No.174, 2021.

내보내기 구분	파일저장 인쇄 메일전송
구성항목	기본정보 상세정보 관리번호, 논문명, 저널/프로시딩명, 저자 , 발행년, 권, 호, 시작페이지, 끝페이지, 발행기관 관리번호, 논문명, 대등논문명, 저자 , 저널/프로시딩명, 발행기관, 발행년, 발행언어, 권, 호, 시작페이지, 끝페이지, ISBN, ISSN, 주제분야, 키워드, 초록(한글), 초록(영문), 저자(소속기관)
저장형식	Text(ASCII format) Excel format RefWorks Direct Export RIS format (for Reference Manager, ProCite, EndNote), Scholar's Aids, Mendeley
메일정보	받는사람 (필수) @ 보내는사람 (선택) @ 제목 내용 KISTI 검색결과 이메일 서비스
안내	총 건의 자료가 검색되었습니다. 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) 다운로드 파일은 UTF-8 형태로 저장됩니다. 파일의 내용이 제대로 보이지 않을실 때는 웹브라우저 상단의 보기 -> 인코딩 -> 자동선택 여부를 확인하십시오. ~ Text(ASCII format) Excel format

연합인증