인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Objective: This study proposed an IoT-based traffic safety management system appropriate for the environment as a whole and specifically roads in rural area.
Background: A recent increase in agricultural machine-related traffic accidents resulting from a rapid rise in motorized agricultural machines has become an important issue in rural societies. The mortality rate of agricultural-related traffic accidents is very high and such accidents incur loss of labor force and a lot of costs, and therefore measures to reduce such accidents are required.
Method: This study analyzed the types of agricultural machine-related traffic accidents aimed at designing an agricultural machine-related traffic safety system appropriate for topographic characteristics of rural areas, and presented an effective agricultural machine-related traffic accident prevention system using IoT technology.
Results: This study proposed a traffic safety maintenance system utilizing IoT technology to connect between terminals installed on agricultural machines and terminals for providing traffic information, and designed the structure of the system, its communication method, hardware and software, and user interface. Besides, this study presented a real-time monitoring system that senses agricultural machine-related machine accidents and makes it possible to rapidly cope with them.
Conclusion: The IoT-based traffic safety system for agricultural machines proposed by this study is expected to become an effective measure to prevent agricultural machine-related traffic accidents.
Application: The results of this study will be able to be utilized to construct a system to keep traffic safety via IoT-based agricultural machines.
Background: A recent increase in agricultural machine-related traffic accidents resulting from a rapid rise in motorized agricultural machines has become an important issue in rural societies. The mortality rate of agricultural-related traffic accidents is very high and such accidents incur loss of labor force and a lot of costs, and therefore measures to reduce such accidents are required.
Method: This study analyzed the types of agricultural machine-related traffic accidents aimed at designing an agricultural machine-related traffic safety system appropriate for topographic characteristics of rural areas, and presented an effective agricultural machine-related traffic accident prevention system using IoT technology.
Results: This study proposed a traffic safety maintenance system utilizing IoT technology to connect between terminals installed on agricultural machines and terminals for providing traffic information, and designed the structure of the system, its communication method, hardware and software, and user interface. Besides, this study presented a real-time monitoring system that senses agricultural machine-related machine accidents and makes it possible to rapidly cope with them.
Conclusion: The IoT-based traffic safety system for agricultural machines proposed by this study is expected to become an effective measure to prevent agricultural machine-related traffic accidents.
Application: The results of this study will be able to be utilized to construct a system to keep traffic safety via IoT-based agricultural machines.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2019-530-000037914
