A Generic Integration Framework for Water Supply Distribution Systems using Interoperable Standards.

Wenyan Wu, ambreen Hussain, Gabriel Anzaldi, Andreas Abecker

Thursday 2 july 2015

12:39 - 12:42h at North America (level 0)

Themes: (T) Special session, (ST) FP7 ICT and water, Poster pitches

Parallel session: Poster pitches: 11I. Special session: FP7 ICT and Water

The primary aim of this paper is to investigate a generic framework to integrate Water Supply Distribution Systems using interoperable standards. Information in water supply chain can be collected by in situ observations, geospatial data and remote sensors. It requires an effort to integrate this data from different resources because of the provision of heterogeneity between systems and data. The information consumes time to be analyzed and manipulated in order to make effective decisions. For example, information analysis to generate proper decision which support the meeting water supply with demand, minimizing the energy consumption. Today managers use separate tools to gather data from many distributed resources and to use this data in decision making system. All these tools use different ways of communication and isolated. To overcome this problem it is required to integrate these tools and systems at a platform where they can exchange information and managers can make better decisions. The proposed framework in this research will allow organizations in water industry to integrate data on a web-based platform to accomplish decisional tasks overcoming drawbacks presented by current interoperable approaches taken elsewhere such as CUAHSI. This framework will be generic so that no matter what form client’s data is in, it will be processed and integrated with other clients’ data. The data can be in the form of excel files, database or a web service. The integration manager of the architecture will be developed and process the data and transform it into the form to bring consistency such as a web service that uses only one standard i.e. WaterML 2.0. To overcome data and systems heterogeneity ontological mechanisms will be used in this framework. This framework will provide efficient means to analyze information and operate data to perform decision making in time, OMG’s Model Driven Architecture is going to investigate for this framework