Modelling SBR cycle management and optimization using events and workflows

Davide Sottara, P. Mello, G. Morlini, F. Malaguti, L. Luccarini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Sequencing Batch Reactors (SBRs) provide several advantages in terms of flexibility and robustness to variations in the inflow concentrations and sludge alterations. Adjusting the duration of the load, reaction and discharge phases, it allows to optimize the treatment, saving time and energy. Optimal policies can be defined by observing and analyzing some chemical and physical parameters such as pH, redox potential and dissolved oxygen concentration. Various Artificial Intelligence (AI) techniques have been proposed and used to recognize the state of the biological processes inside the plant, using the signals' trends and changes as indirect indicators. In particular, the termination of a process (typically, denitrification in the anoxic phase or nitrification in the aerobic one) can be estimated by a management system and used in control policies. In this paper, we point out that this recognition task is only part of the responsibilities of a potential Environmental Decision Support System (EDSS) managing an SBR, and by no means the only one which can take advantage of AI techniques. In fact, the entire control and management system could be defined and implemented using declarative AI techniques, deployed within a uniform execution environment. In particular, we propose two alternative but similar models of the SBR operation cycles: one is based on workflows, exploiting the BPMN2 (Business Process Management Notation v.2) standard for the definition and execution of business processes; the other instead is founded on the principles of (Reactive) Event Calculus. Both representation capture the operational behavior of the SBR, supporting the state transitions and the actions associated to each state. The transitions themselves are driven by events, i.e. relevant state changes. The events are identified either directly, through the sensor system installed on the plant, or analysing a combination of other more elementary events, and conditioned by the actual state of the plant. The correlations between events, states and control actions, as well as their consequences, will eventually be defined using rules, which will also encode the necessary knowledge to deal with exceptional conditions, accounting for a more flexible system.

Original languageEnglish (US)
Title of host publicationiEMSs 2012 - Managing Resources of a Limited Planet
Subtitle of host publicationProceedings of the 6th Biennial Meeting of the International Environmental Modelling and Software Society
Pages196-203
Number of pages8
StatePublished - Dec 1 2012
Externally publishedYes
Event6th Biennial Meeting of the International Environmental Modelling and Software Society: Managing Resources of a Limited Planet, iEMSs 2012 - Leipzig, Germany
Duration: Jul 1 2012Jul 5 2012

Other

Other6th Biennial Meeting of the International Environmental Modelling and Software Society: Managing Resources of a Limited Planet, iEMSs 2012
CountryGermany
CityLeipzig
Period7/1/127/5/12

Fingerprint

Batch reactors
Artificial intelligence
Reactor operation
Nitrification
Denitrification
Dissolved oxygen
Decision support systems
Industry
Sensors

Keywords

  • Business process
  • Event calculus
  • Sequencing batch reactors

ASJC Scopus subject areas

  • Software
  • Environmental Engineering

Cite this

Sottara, D., Mello, P., Morlini, G., Malaguti, F., & Luccarini, L. (2012). Modelling SBR cycle management and optimization using events and workflows. In iEMSs 2012 - Managing Resources of a Limited Planet: Proceedings of the 6th Biennial Meeting of the International Environmental Modelling and Software Society (pp. 196-203)

Modelling SBR cycle management and optimization using events and workflows. / Sottara, Davide; Mello, P.; Morlini, G.; Malaguti, F.; Luccarini, L.

iEMSs 2012 - Managing Resources of a Limited Planet: Proceedings of the 6th Biennial Meeting of the International Environmental Modelling and Software Society. 2012. p. 196-203.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sottara, D, Mello, P, Morlini, G, Malaguti, F & Luccarini, L 2012, Modelling SBR cycle management and optimization using events and workflows. in iEMSs 2012 - Managing Resources of a Limited Planet: Proceedings of the 6th Biennial Meeting of the International Environmental Modelling and Software Society. pp. 196-203, 6th Biennial Meeting of the International Environmental Modelling and Software Society: Managing Resources of a Limited Planet, iEMSs 2012, Leipzig, Germany, 7/1/12.
Sottara D, Mello P, Morlini G, Malaguti F, Luccarini L. Modelling SBR cycle management and optimization using events and workflows. In iEMSs 2012 - Managing Resources of a Limited Planet: Proceedings of the 6th Biennial Meeting of the International Environmental Modelling and Software Society. 2012. p. 196-203
Sottara, Davide ; Mello, P. ; Morlini, G. ; Malaguti, F. ; Luccarini, L. / Modelling SBR cycle management and optimization using events and workflows. iEMSs 2012 - Managing Resources of a Limited Planet: Proceedings of the 6th Biennial Meeting of the International Environmental Modelling and Software Society. 2012. pp. 196-203
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