추론엔진 JESS를 활용한 모바일 작업환경 모니터링 시스템의 연구
A Study of a Mobile Work Environment Monitoring System Using Inference Engine ‘JESS’
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초록
유해 작업환경에서의 근무는 작업 능률 저하 및 각종 직업병의 발생을 유발한다. 따라서 근로자의 산업재해예방 및 쾌적한 근로 환경 조성을 위해서는 위험으로부터 작업자의 안전을 감시할 수 있는 시스템이 필요하다. 이 논문에서는 추론엔진 JESS를 활용하여 모바일 기기에서 작업환경 모니터링 정보를 확인할 수 있는 시스템을 설계한다. 제안 시스템은 OSGi 기반의 프레임워크에 적용 가능하도록 JESS와 JAVA를 연동한 모니터링 인터페이스를 구현한다. 아울러 모바일 기기를 통해 작업자에게 위험 상황에 대한 즉각적인 경보를 제공한다. 제안 시스템은 특정 컴퓨팅 플랫폼에 제약되지 않으며 OSGi 기반의 미들웨어와 연동이 쉬운 장점을 가진다.
Abstract
A detrimental work environment causes a decline in work efficiency and contributes to various occupational diseases. To prevent occupational disasters and build a pleasant work environment, it is necessary to develop a monitoring system to keep operators safe from the hazards. This paper proposes a system that makes it possible to monitor a work environment using a mobile device, an inference engine called ‘JESS.’ The proposed system implements a monitoring interface in which JESS and JAVA are interlocked to make it applicable to the Open Service Gateway Interface (OSGi)-based framework. A dangerous situation can be reported immediately to operators through the mobile device. The system mentioned in this paper is not constrained to a particular computer platform and can be easily interlocked with OSGi-based middleware.
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