Technical Writing - Water Enhanced Resource Planning 3.5 to 4.5.1

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1 Water Enhanced Resource Planing Gabriel Anzaldi Senior Researcher Brussels, 31 January 2013

2 Project General Description = Water Enhanced Resource Planning 3 Water/ICT SMEs 1 Water Utility 3 Research Organizations 1 Public Water Authority 1 Water Association

3 Targeted goal = Substantial water and energy saving Objectives ICT Domain Challenges Gaps knowledge base Ontology, Semantic interoperability (Importing ontologies) Open architecture Tools for managers SOA-MAS OGC Standards Semantic Interoperability Expert system DSS Demand modelling Define an ontology that integrate the necessary actors, resources and facilities throughout the water supply distribution chain to match supply with demand Development of an open architecture combining agents and web services compliant with the most relevant applicable standards (WaterML2.0, OGC-WPS, OGC-SOS, FIPA-ACL) Matching an accurate supply to the forecasted demand across the whole water supply distribution chain. Support demand forecasts across different time/spatial scales, improved water use profiling, and awareness raising on improved efficiency in water use Currentontologies describes water cycle as environmental point of view (WatERP focus on integrate environmental and facilities knowledge management) Integrate unconnected systems around different stakeholders and make easy andfast the integration of new ones. Build decision rules relating different steps of the water supply distribution chain. Startmoving from supply driven management to demand management driven

4 Strategic Research agenda Identification of Ideas Identificationof the main research lines of interest Revision of external experts

5 Proposed ideas Targeted Goal Action Challenges ICTDomains WatERP Contribution Expert simulation tools The promotion of appropriate new technologies through recommendations and demonstration of best practices can contribute to significant water savings. Virtual platforms for forecasting and supporting users in the adoption of more efficient integrated water governance and management strategies. ontologies, semantic interoperability, GIS, businessmodelling, DSS, and management tools, 3D visualisation environment Integrated DSS Open Management platform 1. Substantial consumer water and energy saving 2. Peak-period reduction of water and energy distribution loads 3. Reduction of Greenhouse gas (GHG) emissions

6 Proposed ideas Targeted Goal Action Challenges ICTDomains WatERP Contribution Modelling and development of distributed water governance and management systems across different actors of the urban and district water systems. Real time knowledge extraction Based on the knowledge generated, technology should move towards the development of distributed tools that automatically integrate each of these processes; allow scalability; establish relationships and interactions of different of knowledge & management models; assist in the distributed expert decision; and generate an effective methodology to improve the current Legislation in relation with product quality and safety. development of algorithmic models and methodologies to better assess water consumption profiles in real time for short term predictions. Interoperability standards, ontologies, semantic interoperability Knowledge extraction, stream data mining. Adapt to urban environments and extend to governance structures. Short term predictions based on historical data

7 Proposed ideas Targeted Goal Action Challenges ICTDomains WatERP Contribution Development of Urban early warning systems for water control. Increase the Abstraction level of information Improve quality and quality of Service assurance Integrated assessment based on the information related with social and environmental context; supporting evacuation plan and emergency protocols; warning of possible emergencies (emergencies prediction); and enhance inter-communication between different public authorities, actors and control points. Sensor data must be obtained processed and managed using an abstraction of the information Mechanisms used to interpret correctly sensor information (e.g understand data gaps, interpret accuracy of measurements, etc). Big problem because of administration budget cuts semantic interoperability Ontologies, Semantic Interoperability, W3C Standards (SSN- Ontology) OGC, Sensors Development of Knowledge base based on water supply needs. WaterMLas a communication language for sensor information.

8 Proposed ideas Targeted Goal Action Challenges ICTDomains WatERP Contribution Advance in the Integration and Fusion of Data Accessing into the information and fuse information from various context using HTTP protocol by transforming sensorbased data (ontologies) into RDF and accessing/querying it using URIs Ontologies, Semantic Interoperability, OGC Partially by the use of Service Oriented Architecture to obtain sensor information. Sensor data Based on the way of query sensor OGC, Ontologies, Use of ontological query registry interfaces information, one of the main gaps in Semantic languages to select querying sensor data are the lost Interoperability, W3C information performance time. standards Rapid development of applications External applications should be easily incorporated into the platform. OGC, SoA By the use of OGC standards and Service Oriented Architecture.

9 Possible Gaps Advance in interoperability and standardization Most of the systems are designed for high quality standards. Budget cuts could required research to deal with Infrastructures degradation. Information scalability (as sensors grow and became smarter, new sources of information and knowledge rise)

10 Suggested priority 2013/2014 BEYOND INTEROPERABILITY & STANDARDS TOOLS & MODELLING

11 Contact data Ferran Tersa WatERP Project Coordinator Head of ICT for Environment Unit BDIGITAL Phone Skype: ferran.tersa Barcelona Digital Technology Centre Media-TIC building. C/ Roc Boronat 117, 5th floor Barcelona (Spain)