Data-models for FIWARE-enabled smart applications for raw-water supply system modelling, management and operation

The optimal management and operation of raw-water supply systems is a key priority for any water utility, but at the same time, a challenging and demanding task. Particular difficulties are posed by the complexity and large-scale nature of such systems, composed by different types of interconnected infrastructures (e.g., reservoirs, aqueducts, water regulation structures, diversion structures, energy production and dissipation units) that serve different, usually conflicting and variable, targets (e.g., reliable water supply, energy production, water storage, environmental target, flood protection). During the last decades substantial effort has been given in the modelling and analysis of specific aspects of such complex systems, and the development of tools and services to support water utilities in decision making. Typically, these tools are developed as stand-alone applications, making transferability and applicability to other cases, and their integration to other services more challenging. Here we present a possible solution to this challenge, using FIWARE, a framework supporting the development of interoperable and cross-domain solutions, on the water sector. Specifically, we present a FIWARE-enabled reference architecture to allow data and analytics integration for the optimal management and operation of the external raw-water supply system of Athens, Greece. To support data portability and standardization, a series of data-models of the key physical entities of such a system are defined and presented. These data models standardise contextual information exchange via properties and relationships, using the FIWARE NGSI v.2 and NGSI-LD protocols, and are easily extendable to other cases.