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Data Dissemination for Environment Monitoring Visalakshmi Suresh Prof. Paul Watson.

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Presentation on theme: "Data Dissemination for Environment Monitoring Visalakshmi Suresh Prof. Paul Watson."— Presentation transcript:

1 Data Dissemination for Environment Monitoring Visalakshmi Suresh Prof. Paul Watson

2 MESSAGE EPSRC funded research. Consortium Newcastle University, Leeds University, Imperial College, Cambridge and Southampton University Advisory Board : Collaboration with Industry

3 Overview  Novel and Emerging ITS sensing devices  Data acquisition and Processing  Real Time Data Fusion Architecture  Real Time Data Dissemination  Historic Data Mining using Collaborative Tools  Conclusion

4 Novel and Emerging ITS sensing devices Pervasive Sensors  Highly modular, mobile/fixed  CO, NO 2, Noise and Traffic  Temperature and Humidity  Accelerometer and GPS  Mobile and Fixed  Battery 6months @1min average  ~£200 components cost  Motes ~100m apart  Zigbee wireless 5 hops  Gateway: Indoor/outdoor.  LAN or autonomous (GPRS)

5 Novel and Emerging ITS sensing devices Legacy Systems Technology Vehicles People Systems A

6 MESSAGE Decision Support System POLICY STRATEGY Data Acquisition Historic Analysis Network Status Disseminate/inform Modelling Real-time Analysis Evaluation and Assessment

7 Real Time Mashups AURN -- Legacy System Data Aggregation Locations Real Time Monitoring Pollution Hotspots

8 Demonstration Real Time Dissemination

9 Real Time and Historic Integration Technology OSPM Dispersion Model

10 Traffic and air quality Model Validation A

11 A

12 Current Research Integrating Models with Monitored data (Image Source: TORG, Newcastle University)

13 Data Display Marts  V: Visualisation  RTEP: Real-Time Event Processor  CCLAV: Critical Congested Link Assessment  CA: Congestion Assessments  TTEE: Traffic Tail-pipe Emissions Estimation  RPPL: Receptor Point Pollution Level

14 Collaborative Workbench Historic Data analysis eScience Central Store Analyse Automate Share

15 System Architecture Layered Approach

16 Summary Designed for data intensive applications Features for continuous evolution Integration of heterogeneous data sources Effective control and added values to ITS implementation

17 Questions? Prof. Paul Watson paul.watson@ncl.ac.uk paul.watson@ncl.ac.uk Visalakshmi Suresh Visalakshmi.suresh@ncl.ac.uk


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