Algorithm Sampling time longer than 45 minutes Sampling time longer than 18 hours Contains at least 12 daily means evenly distributed over the month Contains at least 144 daily means evenly distributed over the year
• We established an information base (MNIB), and a proprietary network protocol (ARMP) for monitoring systems
2.ARCHITECTURE OF MONITORING SYSTEM
2.1 physical structure
Information Structure and Network Protocols for Remote Monitoring of AirQuality
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 3. INFORMATION MODEL FOR AIR-QUALITY MONITORING 4. PROTOCOLS FOR AIR QUALITY REMOTE MONITORING 5. CONCLUSIONS
Figure 5 Monitored objects under so2Mean branch
3. INFORMATION MODEL FOR AIR-QUALITY MONITORING
Algorithm for mean contents of pollutants
Mean type Hourly mean Daily mean
Monitoring station Monitor control center Internet
Figure 1 Air quality monitoring system
2.ARCHITECTURE OF MONITORING SYSTEM
2.2 Architecture
Monitoring Controller Monitor Agent MNIB
MonitorNext
MonitorNext
Response
Response
ARMP TCP IP
Monitor
Monitor
Trap
ARMP TCP IP Network Interface
Protocols stack
Protocol stack
Network Interface
Figure 2
Descriptor
Identifier
Monitored object
Status
Syntax Definition
Access
Figure 3 Attributes of the Monitored object
3. INFORMATION MODEL FOR AIR-QUALITY MONITORING
3.3 The so2Mean object group
so2Mean(4 1 3) so2MeanCtrlTable(1) so2MeanCtrlEntry(1) so2MeanCtrlIndex(1) so2MeanSmplNum(2) so2MeanTable(2) so2MeanEntry(1) so2MeanIndex(1) so2Mean(2)
Monthly mean
Yearly mean
4. PROTOCOLS FOR AIR QUALITY REMOTE MONITORING
4.1 Messages of ARMP Protocol
Access Level ARMT PDU Type ARMT PDU
(a) Format of ARMT messages Monitor-id Monitor Status Object-bindings
(b) Format of basic PDU Station-name Trap-type Time-stamp (c)Format of trap PDU Figure 9 Message format for ARMT Protocol Object-bindings
The architecture of the air-quality remote monitoring system
Trap
Set
Set
3. INFORMATION MODEL FOR AIR-QUALITY MONITORING
3.1 Monitoring Information Structure
Байду номын сангаас
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.
3.2 Monitoring Information Base
station(1) meteorology(2)
gas(4) particle(3)
Figure 4 Root node and first layer node
3. INFORMATION MODEL FOR AIR-QUALITY MONITORING