Earticle

초록

영어

Coking production process is very complex, and full of risk factors, toxic and harmful substance, it’s a typical high risk industry. In view of the prominent safety hazards and strong interference to safety monitoring in coking production, put forward a kind of safety monitoring and warning system based on information fusion for coking production. To achieve the target that safety condition was monitored accurately and hazardous situation warned reliably, safety information of the monitoring and warning areas was collected by sensor network which include combustible gas sensor, dust sensor, temperature sensor, pressure sensor, flowmeter and IP camera ,and the information fusion model of safety monitoring and warning was established, and then, through the BP neural network and the D-S evidence theory algorithm, various safety information was fused. Actual tests show that it has achieved the goal that monitoring accurately and warning reliably. It is of great significance to ensure the security of coking production.

목차

Abstract
 1. Introduction
 2. Coking Production Process and Characteristics
 3. Framework of Safety Monitoring and Warning System for Coking Production
  3.1. Information Collection Subsystem
  3.2. Information Transmission Subsystem
  3.3. Safety Monitoring and Warning Center
 4. Safety State Information Fusion and the Realization of Monitoring and Warning
  4.1. Framework of Safety Monitoring and Warning System’s Software
  4.2. Safety State Information Fusion Model
  4.3. BP Neural Network and Security State Evidence
  4.4. D-S Evidence Fusion Algorithm of Security State Information
 5. Results and Analysis of the Application of Monitoring and Warning System
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Nailu Zhang [ School of Electronic Engineering, Xi’an Shiyou University, Xi’an 710065, P.R.China ]
• Libo Li [ School of Electronic Engineering, Xi’an Shiyou University, Xi’an 710065, P.R.China ]
• Xin Liu [ School of Electronic Engineering, Xi’an Shiyou University, Xi’an 710065, P.R.China ]
• Yuzhe Zhang [ Xi’an Hailian Petrochemical Technologies Co.,LTD Shaanxi Xi’an 710065, P.R.China ]
• Fuchao Li [ School of Electronic Engineering, Xi’an Shiyou University, Xi’an 710065, P.R.China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605