An ontology-based approach for the instrumentation, control and automation infrastructure of a WWTP

Davide Sottara, Jean Claude Correale, Thierry Spetebroot, Dalila Pulcini, Daniele Giunchi, Fabrizio Paolucci, Luca Luccarini

    Research output: Contribution to conferencePaper

    4 Scopus citations

    Abstract

    The instrumentation, control and automation of wastewater treatment plants (WWTPs) is a key aspect to ensure good performance and lower operational costs. However, control systems are seldom interoperable and standard-compliant. In this paper, we propose a knowledge-based approach which decouples the description of the plants and their control strategies from their physical structure and instrumentation. In particular, we propose a semantic model based on ontologies, formalized using the W3C OWL2 standard. We have extended the Semantic Sensor Network and created a specialized representation of the WWTP domain, to provide a consistent description of instrumentation (sensors and probes), actuators and data acquisition systems. We show how this ontology can be used to model typical management actions, such as collecting samples or applying a control policy, and their outcomes.

    Original languageEnglish (US)
    Pages1222-1228
    Number of pages7
    StatePublished - Jan 1 2014
    Event7th International Congress on Environmental Modelling and Software, iEMSs 2014 - San Diego, United States
    Duration: Jun 15 2014Jun 19 2014

    Other

    Other7th International Congress on Environmental Modelling and Software, iEMSs 2014
    CountryUnited States
    CitySan Diego
    Period6/15/146/19/14

    Keywords

    • IEDSS
    • Knowledge based control systems
    • Ontology
    • Wastewater treatment plants

    ASJC Scopus subject areas

    • Software
    • Environmental Engineering
    • Modeling and Simulation

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  • Cite this

    Sottara, D., Correale, J. C., Spetebroot, T., Pulcini, D., Giunchi, D., Paolucci, F., & Luccarini, L. (2014). An ontology-based approach for the instrumentation, control and automation infrastructure of a WWTP. 1222-1228. Paper presented at 7th International Congress on Environmental Modelling and Software, iEMSs 2014, San Diego, United States.