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Design of Rule-based Inference Engine for the Monitoring of Harmful Environments in Workplace

  • 안윤애 (충주대학교 컴퓨터멀티미디어학과)
  • Published : 2009.12.30

Abstract

The risk of health impairment due to poor ventilation, fire and explosion by inflammable materials, and other unintended occurrences is always present in dangerous workplaces such as manholes, underground septic tanks, storage tanks and confined areas. Therefore, it a system which can monitor harmful working environment through sensors in workplace on a realtime basis and keep workers safe from the risk is needed. This paper has attempted to design an inference engine to monitor harmful environments in the workplace. The proposed inference engine has a rule-based system structure using JESS. This system is not confined to a particular computing platform and is easily interlocked with OSGi-based middleware.

맨홀, 지하정화조, 저장탱크, 밀폐공간 등의 유해 작업장은 환기가 불충분한 상태에서 산소결핍, 유해가스로 인한 건강장해와 인화성 물질에 의한 화재, 폭발 등의 위험이 있다. 이와 같은 유해환경 정보를 작업장 내의 센서를 통해서 실시간으로 모니터링하고, 위험으로부터 작업자의 안전을 보장할 수 있는 시스템이 필요하다. 이 논문에서는 작업장의 유해환경을 모니터링하기 위한 추론엔진을 설계한다. 제안하는 추론엔진은 규칙기반 시스템의 구조를 가지며 JESS를 활용한다. 제안 시스템은 특정 컴퓨팅 플랫폼에 제약되지 않으며 OSGi 기반의 미들웨어와 연동이 쉬운 특징을 가진다.

Keywords

References

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