data dissemination for environment monitoring
DESCRIPTION
Data Dissemination for Environment Monitoring. Visalakshmi Suresh Prof. Paul Watson. MESSAGE. EPSRC funded research. Consortium Newcastle University, Leeds University, Imperial College, Cambridge and Southampton University Advisory Board : Collaboration with Industry. Overview. - PowerPoint PPT PresentationTRANSCRIPT
Data Dissemination for Environment Monitoring
Visalakshmi Suresh
Prof. Paul Watson
MESSAGE
• EPSRC funded research.
• Consortium• Newcastle University, Leeds University, Imperial
College, Cambridge and Southampton University
• Advisory Board : Collaboration with Industry
Overview
Novel and Emerging ITS sensing devicesData acquisition and ProcessingReal Time Data Fusion ArchitectureReal Time Data DisseminationHistoric Data Mining using Collaborative
ToolsConclusion
Novel and Emerging ITS sensing devicesPervasive Sensors
Highly modular, mobile/fixed CO, NO2, 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)
Novel and Emerging ITS sensing devicesLegacy Systems
Technology•Vehicles•People•Systems
A
MESSAGE Decision Support System
POLICYSTRATEGY
Data Acquisition
Historic Analysis
Network Status
Disseminate/inform
Modelling
Real-time Analysis
Evaluation and Assessment
Real Time Mashups
AURN-- Legacy System
Data Aggregation
Locations
Real Time Monitoring
Pollution Hotspots
Demonstration
Real Time Dissemination
Real Time and Historic Integration
Technology
OSPM Dispersion Model
Traffic and air quality Model Validation
A
A
Traffic and air quality Model Validation
Current Research
• Integrating Models with Monitored data
(Image Source: TORG, Newcastle University)
Data Display Marts
V: VisualisationRTEP: Real-Time Event ProcessorCCLAV: Critical Congested Link Assessment CA: Congestion AssessmentsTTEE: Traffic Tail-pipe Emissions EstimationRPPL: Receptor Point Pollution Level
Collaborative Workbench Historic Data analysis
eScience Central
• Store
• Analyse
• Automate
• Share
System ArchitectureLayered Approach
Communication Layer
Pervasive Sensors
SCOOT AURN MET Vehicles Models
Resources Layer
Database Datawarehouse
Servers Grid
SoftwareeScience central
OSPM..
Services
Data Service
Software Services
IaaS
ApplicationsLive
Pollution Monitoring
Live Congestion Monitoring
Pollution Hotspots
Live Dispersion
Historic Data Mining
Dissemination
WWW
Summary
• Designed for data intensive applications
• Features for continuous evolution
• Integration of heterogeneous data sources
• Effective control and added values to ITS implementation
