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Technical Framework Design of Safety Production Information Management Platform for Chemical Industrial Parks Based on Cloud Computing and the Internet of Things

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJGDC) 바로가기
  • 간행물
    International Journal of Grid and Distributed Computing SCOPUS 바로가기
  • 통권
    Vol.9 No.6 (2016.06)바로가기
  • 페이지
    pp.299-314
  • 저자
    Qin Lele, Kang Lihua
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A280305

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원문정보

초록

영어
As chemical industry is a fundamental strategic sector as well as one pillar industry of our national economy, chemical industrial parks of various scales has been built in many places to facilitate the production of chemical enterprises. However, considering the inflammability, explosibility and toxicity of the raw materials and products of such enterprises, accidents are very likely during the production, transportation and storage, forming major threats to human lives, the environment and property. By making use of key technologies of the Internet of Things such as sensing, accessing and networking, massive information storage, analyzing and processing capabilities of big data technology and the data computing methods of cloud computing technology, this paper designs a safety production information management platform for the daily supervision and emergency rescue of chemical industrial parks, proposes the system communication network framework based on the Internet of Things and the three-layer platform technical framework based on cloud computing, describes the technical structure and function of the sensing layer, the transmission layer, the infrastructure layer, the platform layer and the application layer of the platform, and elaborates key technologies including the design thought of uniform big data analyzing platform, regional collaborative emergency management operating mechanism, the combination of RFID technology and sensor network technology and model design of expert decision-making. The platform can realize logistics management of dangerous articles and key environment parameter monitoring of dangerous chemical enterprises, help enterprises in the safety compliance management to the whole production process, allow red light early warning and start responding early warning mechanism and rescue plan automatically, so as to effectively avoid the occurrence of potential accidents and safeguard and improve the economic and social benefits of enterprises.

목차

Abstract
 1. Supervision of Dangerous Chemical Enterprises in the Parks
 2. Current research
 3. Cloud Computing Technology
 4. Application of the Internet of Things in the System
 5. Framework Design of the Information Management Platform
 6. Functions of the Platform
  6.1 The Sensing layer
  6.2 The Transmission Layer
  6.3 The Infrastructure Layer
  6.4 The Platform Layer
  6.5 The Application Layer
  6.6 Operational Management
  6.7 Safety Management
 7. Materialization of Key Technologies
  7.1 Design thought of Uniform Big Data Analyzing Platform
  7.2 Combination of RFID and Sensor Network Technology
  7.3 Model Design of Expert Decision-making
 8. Conclusion
 Acknowledgement
 References

저자

  • Qin Lele [ Hebei University of Science & Technology, Shijiazhuang, China ]
  • Kang Lihua [ Hebei University of Science & Technology, Shijiazhuang, China ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJGDC) [Science & Engineering Research Support Center, Republic of Korea(IJGDC)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Grid and Distributed Computing
  • 간기
    격월간
  • pISSN
    2005-4262
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Grid and Distributed Computing Vol.9 No.6

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