MMEA for environmental datainteroperability

MMEA Final seminar26 November, 2015Ville KotovirtaVTT Technical Research Centre of Finland Ltd

Satellite

Radar

In-situ

Modelling

Citizenscience

Research

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Impactanalyses

Currently visible data valueof known sources and uses

Potential data value -currently hidden becausedata are not known andcannot be accessed

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Interoperability

Managing,processing,modelling,analysing

Tailoring

Challenges of environmental monitoring

Measurement QC

Datavalue

Representation Business

• Data inventory• OGC, Inspire, API’s• Open data• Citizen science

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MMEA for tackling the environmental monitoring challenges

• Cloud-based dataprocessingplatform

• Quality control• Data fusion

• Anomalydetection

• Complex eventprocessing

• Semantictechnologies

• Visualization

• Earth• Wind• Fire• Air

MMEA Data activities:

Interoperability TailoringQC Representation Business

Managing,processing,modelling,analysing

Measurement

MMEA Platform = scalable cloud-based near real-timedata processing with embedded quality control, anomalydetection, event processing, notification, storage, routing,filtering and processing services.

Open source components• WSO2 Enterprise Service Bus• Apache ActiveMQ• PostgreSQL RDBMS• Apache Tomcat• Esper CEP engine

Commercial components• Amazon AWS

• Cloud services (EC2)• Profium Sense

• RDF storage• Inference engine

• Confluence & JIRA• Documentation and issue tracking

Data sources• Weather station measurements• Weather forecasts• Air quality forecasts• Pollen forecast• Water level forecast• Indoor / outdoor air quality• Indoor measurements (t, humidity, …)• Building energy consumption

Applications• Facility management• Power network management• Citizen app• Agriculture app• Participatory sensing• Storm path prediction

Raw data providers

Private Public

Market

Data OperatorData

quality,SLA

Datatransactions

Service providers

B2B B2C

Data Operatorconcept

• A new player inthe business

• Connecting to amultitude of data

• Finding, filteringand deliveringrelevant data to aspecific customerneed

• Increasing datavalue byprocessing andproductising data

• Motivating the useof (currently)hidden data

Billing