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Information Structure and Network Protocols for Remote Monitoring of Air-Quality

Information Structure and Network Protocols for Remote Monitoring of Air-Quality. Wang Huiran Xi’an University Of Engineering Science and Technology MA Ruifang Xi’an Jiaotong University August 20, 2005. Content. 1. INTRODUCTION 2. ARCHITECTURE OF AIR-QUALITY REMOTE MONITORING SYSTEM

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Information Structure and Network Protocols for Remote Monitoring of Air-Quality

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  1. Information Structure and Network Protocols for Remote Monitoring of Air-Quality Wang Huiran Xi’an University Of Engineering Science and Technology MA Ruifang Xi’an Jiaotong University August 20, 2005

  2. Content 1. INTRODUCTION 2. ARCHITECTURE OF AIR-QUALITY REMOTE MONITORING SYSTEM 3. INFORMATION MODEL FOR AIR-QUALITY MONITORING 4. PROTOCOLS FOR AIR QUALITY REMOTE MONITORING 5. CONCLUSIONS

  3. 1. INTRODUCTION • The air is one of the fundamental elements human beings have to rely upon • Scientists are involved in monitoring of air-quality over Internet • Previous studies concentrated on developments of the application software for monitoring systems, did not involve in study of the architecture and infrastructure of air quality monitoring systems. • We established an information base (MNIB), and a proprietary network protocol (ARMP) for monitoring systems

  4. 2.ARCHITECTURE OF MONITORING SYSTEM 2.1 physical structure

  5. 2.ARCHITECTURE OF MONITORING SYSTEM 2.2 Architecture

  6. 3. INFORMATION MODEL FOR AIR-QUALITY MONITORING 3.1 Monitoring Information Structure

  7. 3. INFORMATION MODEL FOR AIR-QUALITY MONITORING 3.2 Monitoring Information Base

  8. 3. INFORMATION MODEL FOR AIR-QUALITY MONITORING 3.3 The so2Mean object group

  9. Mean type Algorithm Hourly mean Sampling time longer than 45 minutes Daily mean Sampling time longer than 18 hours Monthly mean Contains at least 12 daily means evenly distributed over the month Yearly mean Contains at least 144 daily means evenly distributed over the year 3. INFORMATION MODEL FOR AIR-QUALITY MONITORING Algorithm for mean contents of pollutants

  10. 4. PROTOCOLS FOR AIR QUALITY REMOTE MONITORING 4.1 Messages of ARMP Protocol

  11. 4. PROTOCOLS FOR AIR QUALITY REMOTE MONITORING 4.2 Operations of ARMP Protocol

  12. 5. CONCLUSIONS • （1）We present a architecture for air-quality remote monitoring systems. This architecture consists of monitoring controllers, monitoring agents, MNIB (MoNitoring Information Base), and the protocol stack. • (2) We establish an information model for remote monitoring systems, and put forward the concept of MNIB with a tree-like structure. • (3) In addition to storing information about content of pollutants, we may define algorithm and controlling information in the MNIB. • (4) We design a proprietary application layer protocol, i.e. ARMP. The message of ARMP is composed of 3 parts. • (5) ARMP operates in 4 modes, that is, monitor, monitor-next, set, and trap mode.

  13. 谢谢！ Thank you !

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