URBAN WATER DISTRIBUTION INDUSTRY THROUGH THE LENS OF AN OPC UA INFORMATION MODEL

Abstract

Urban water distribution systems has a diverse and geographically distributed set of physical and logical assets. These are typically sourced from multiple vendors and integrated over long operational lifecycles. Traditional supervisory control and data acquisition (SCADA) systems often represent such infrastructure using flat, vendor-specific data models. The main limitations of traditional SCADA was interoperability, scalability, and long-term maintainability. This paper examines the urban water distribution industry through the lens of an OPC UA information model. The paper also emphasizes on information-centric representation over device- or protocol-centric integration.

The proposed approach models core water distribution assets like reservoirs, pumping systems, sensors, control devices, and logical operational entities like using standardized OPC UA ObjectTypes and semantic relationships. By abstracting assets based on their functional roles within the distribution process, the information model provides a unified and vendor-independent view of differnent field equipment. This enables supervisory and cloud-hosted SCADA systems to interact with urban water infrastructure without dependence on vendor-specific implementations or communication protocols.

The study demonstrates how OPC UA information modeling supports semantic interoperability and extensibility in multi-vendor environments. The findings indicate that vendor independence in urban water distribution is most effectively achieved at the information layer. The proposed model serves as a foundational framework for cloud-based monitoring, advanced analytics, and future smart water applications, at the same time it remains compatible with legacy infrastructure.