Abstract
A Sequencing Batch Reactor (SBR) is a particular kind of wastewater treatment plant (WWTP), where all treatment processes take place in a single reactor tank, according to a fixed temporal sequence. SBR offers several advantages in terms of reduced costs, minor impact and greater flexibility with respect to traditional WWTPs. However, an optimal cost/performance ratio can only be achieved if the treatment processes are continuously monitored and controlled. In this paper, we present a hybrid, distributed, knowledge-based (Intelligent) Environmental Decision Support System (IEDSS) specifically dedicated to the management of SBRs. The IEDSS is responsible for verifying, ensuring and enforcing the compliance of the processes with the optimal operation policies and the current regulations. The core of the IEDSS is composed by a hybrid, declarative knowledge base that encodes the knowledge and best practices for the management of the plant. It relies on OWL ontologies to describe the plant and its hardware equipment, business processes to model the plants treatment cycles, business rules to encode decision-making policies, an improved variant of Event Calculus (EC) to manage the temporal aspects and a compliance mechanism based on extended Event-Condition-Action rules (ECA rule) to monitor and check the compliance of its evaluations and decisions. The system as a whole has been implemented using open source technologies and has been tested on data coming from a pilot plant fed with real urban wastewater.
| Original language | English (US) |
|---|---|
| Pages | 485-492 |
| Number of pages | 8 |
| 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
- Business Processes
- Event Calculus
- IEDSS
- Ontologies
- SBR
ASJC Scopus subject areas
- Software
- Environmental Engineering
- Modeling and Simulation
Cite this
A hybrid, integrated IEDDS for the management of Sequencing Batch Reactors. / Sottara, Davide; Bragaglia, Stefano; Pulcini, Dalila; Mello, Paola; Luccarini, Luca.
2014. 485-492 Paper presented at 7th International Congress on Environmental Modelling and Software, iEMSs 2014, San Diego, United States.Research output: Contribution to conference › Paper
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TY - CONF
T1 - A hybrid, integrated IEDDS for the management of Sequencing Batch Reactors
AU - Sottara, Davide
AU - Bragaglia, Stefano
AU - Pulcini, Dalila
AU - Mello, Paola
AU - Luccarini, Luca
PY - 2014/1/1
Y1 - 2014/1/1
N2 - A Sequencing Batch Reactor (SBR) is a particular kind of wastewater treatment plant (WWTP), where all treatment processes take place in a single reactor tank, according to a fixed temporal sequence. SBR offers several advantages in terms of reduced costs, minor impact and greater flexibility with respect to traditional WWTPs. However, an optimal cost/performance ratio can only be achieved if the treatment processes are continuously monitored and controlled. In this paper, we present a hybrid, distributed, knowledge-based (Intelligent) Environmental Decision Support System (IEDSS) specifically dedicated to the management of SBRs. The IEDSS is responsible for verifying, ensuring and enforcing the compliance of the processes with the optimal operation policies and the current regulations. The core of the IEDSS is composed by a hybrid, declarative knowledge base that encodes the knowledge and best practices for the management of the plant. It relies on OWL ontologies to describe the plant and its hardware equipment, business processes to model the plants treatment cycles, business rules to encode decision-making policies, an improved variant of Event Calculus (EC) to manage the temporal aspects and a compliance mechanism based on extended Event-Condition-Action rules (ECA rule) to monitor and check the compliance of its evaluations and decisions. The system as a whole has been implemented using open source technologies and has been tested on data coming from a pilot plant fed with real urban wastewater.
AB - A Sequencing Batch Reactor (SBR) is a particular kind of wastewater treatment plant (WWTP), where all treatment processes take place in a single reactor tank, according to a fixed temporal sequence. SBR offers several advantages in terms of reduced costs, minor impact and greater flexibility with respect to traditional WWTPs. However, an optimal cost/performance ratio can only be achieved if the treatment processes are continuously monitored and controlled. In this paper, we present a hybrid, distributed, knowledge-based (Intelligent) Environmental Decision Support System (IEDSS) specifically dedicated to the management of SBRs. The IEDSS is responsible for verifying, ensuring and enforcing the compliance of the processes with the optimal operation policies and the current regulations. The core of the IEDSS is composed by a hybrid, declarative knowledge base that encodes the knowledge and best practices for the management of the plant. It relies on OWL ontologies to describe the plant and its hardware equipment, business processes to model the plants treatment cycles, business rules to encode decision-making policies, an improved variant of Event Calculus (EC) to manage the temporal aspects and a compliance mechanism based on extended Event-Condition-Action rules (ECA rule) to monitor and check the compliance of its evaluations and decisions. The system as a whole has been implemented using open source technologies and has been tested on data coming from a pilot plant fed with real urban wastewater.
KW - Business Processes
KW - Event Calculus
KW - IEDSS
KW - Ontologies
KW - SBR
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UR - http://www.scopus.com/inward/citedby.url?scp=84911887333&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:84911887333
SP - 485
EP - 492
ER -