Data Dissemination for Environment Monitoring

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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 Presentation

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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

Questions?

Prof. Paul Watson paul.watson@ncl.ac.uk

Visalakshmi SureshVisalakshmi.suresh@ncl.ac.uk

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