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 language | English (US) |
|---|---|
| Pages | 1222-1228 |
| Number of pages | 7 |
| State | Published - Jan 1 2014 |
| Event | 7th International Congress on Environmental Modelling and Software, iEMSs 2014 - San Diego, United States Duration: Jun 15 2014 → Jun 19 2014 |
Other
| Other | 7th International Congress on Environmental Modelling and Software, iEMSs 2014 |
|---|---|
| Country | United States |
| City | San Diego |
| Period | 6/15/14 → 6/19/14 |
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Keywords
- IEDSS
- Knowledge based control systems
- Ontology
- Wastewater treatment plants
ASJC Scopus subject areas
- Software
- Environmental Engineering
- Modeling and Simulation
Cite this
An ontology-based approach for the instrumentation, control and automation infrastructure of a WWTP. / Sottara, Davide; Correale, Jean Claude; Spetebroot, Thierry; Pulcini, Dalila; Giunchi, Daniele; Paolucci, Fabrizio; Luccarini, Luca.
2014. 1222-1228 Paper presented at 7th International Congress on Environmental Modelling and Software, iEMSs 2014, San Diego, United States.Research output: Contribution to conference › Paper
}
TY - CONF
T1 - An ontology-based approach for the instrumentation, control and automation infrastructure of a WWTP
AU - Sottara, Davide
AU - Correale, Jean Claude
AU - Spetebroot, Thierry
AU - Pulcini, Dalila
AU - Giunchi, Daniele
AU - Paolucci, Fabrizio
AU - Luccarini, Luca
PY - 2014/1/1
Y1 - 2014/1/1
N2 - 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.
AB - 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.
KW - IEDSS
KW - Knowledge based control systems
KW - Ontology
KW - Wastewater treatment plants
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M3 - Paper
SP - 1222
EP - 1228
ER -