A hybrid, integrated IEDDS for the management of Sequencing Batch Reactors

Davide Sottara, Stefano Bragaglia, Dalila Pulcini, Paola Mello, Luca Luccarini

    Research output: Contribution to conferencePaper

    1 Citation (Scopus)

    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 languageEnglish (US)
    Pages485-492
    Number of pages8
    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

    Fingerprint

    Batch reactors
    Decision Support Systems
    Decision support systems
    Compliance
    Reactor
    Sequencing
    Batch
    Event Calculus
    Business Rules
    Wastewater Treatment
    Waste Water
    Best Practice
    Costs
    Knowledge-based
    Pilot plants
    Business Process
    Knowledge Base
    Wastewater treatment
    Open Source
    Computer hardware

    Keywords

    • Business Processes
    • Event Calculus
    • IEDSS
    • Ontologies
    • SBR

    ASJC Scopus subject areas

    • Software
    • Environmental Engineering
    • Modeling and Simulation

    Cite this

    Sottara, D., Bragaglia, S., Pulcini, D., Mello, P., & Luccarini, L. (2014). A hybrid, integrated IEDDS for the management of Sequencing Batch Reactors. 485-492. Paper presented at 7th International Congress on Environmental Modelling and Software, iEMSs 2014, San Diego, United States.

    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 conferencePaper

    Sottara, D, Bragaglia, S, Pulcini, D, Mello, P & Luccarini, L 2014, 'A hybrid, integrated IEDDS for the management of Sequencing Batch Reactors' Paper presented at 7th International Congress on Environmental Modelling and Software, iEMSs 2014, San Diego, United States, 6/15/14 - 6/19/14, pp. 485-492.
    Sottara D, Bragaglia S, Pulcini D, Mello P, Luccarini L. A hybrid, integrated IEDDS for the management of Sequencing Batch Reactors. 2014. Paper presented at 7th International Congress on Environmental Modelling and Software, iEMSs 2014, San Diego, United States.
    Sottara, Davide ; Bragaglia, Stefano ; Pulcini, Dalila ; Mello, Paola ; Luccarini, Luca. / A hybrid, integrated IEDDS for the management of Sequencing Batch Reactors. Paper presented at 7th International Congress on Environmental Modelling and Software, iEMSs 2014, San Diego, United States.8 p.
    @conference{4bf90d77d5054754a6601c1808d6dae1,
    title = "A hybrid, integrated IEDDS for the management of Sequencing Batch Reactors",
    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.",
    keywords = "Business Processes, Event Calculus, IEDSS, Ontologies, SBR",
    author = "Davide Sottara and Stefano Bragaglia and Dalila Pulcini and Paola Mello and Luca Luccarini",
    year = "2014",
    month = "1",
    day = "1",
    language = "English (US)",
    pages = "485--492",
    note = "7th International Congress on Environmental Modelling and Software, iEMSs 2014 ; Conference date: 15-06-2014 Through 19-06-2014",

    }

    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

    UR - http://www.scopus.com/inward/record.url?scp=84911887333&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84911887333&partnerID=8YFLogxK

    M3 - Paper

    AN - SCOPUS:84911887333

    SP - 485

    EP - 492

    ER -