Integrating building and urban semantics to empower smart water solutions

Citations Over TimeTop 10% of 2017 papers

Abstract

Current urban water research involves intelligent sensing, systems integration, proactive users and data-driven management through advanced analytics. The convergence of building information modeling with the smart water field provides an opportunity to transcend existing operational barriers. Such research would pave the way for demand-side management, active consumers, and demand-optimized networks, through interoperability and a system of systems approach. This paper presents a semantic knowledge management service and domain ontology which support a novel cloud-edge solution, by unifying domestic socio-technical water systems with clean and waste networks at an urban scale, to deliver value-added services for consumers and network operators. The web service integrates state of the art sensing, data analytics and middleware components. We propose an ontology for the domain which describes smart homes, smart metering, telemetry, and geographic information systems, alongside social concepts. This integrates previously isolated systems as well as supply and demand-side interventions, to improve system performance. A use case of demand-optimized management is introduced, and smart home application interoperability is demonstrated, before the performance of the semantic web service is presented and compared to alternatives. Our findings suggest that semantic web technologies and IoT can merge to bring together large data models with dynamic data streams, to support powerful applications in the operational phase of built environment systems.

Related Papers

• → A review of interoperability assessment models(2013)22 cited
• ITS STANDARDS IMPLEMENTATION : INTEROPERABILITY ISSUES AND SOLUTIONS(2002)
• → A Research on the Korea Interoperability Management Model Independent of Interoperability Levels(2012)
• Research Summary of Interoperability Evaluation of Military Electronic Information System(2009)
• → IEEE ISMAR 2022 - Tutorials(2022)