Vai al contenuto

tecnopolo enea bologna

enea

Login Tu sei in: tecnopolo

LAERTE (eff.energetica)

CROSS-TEC (ICT,energia)

TRACCIABILITA (agro,sicurezza)

Laboratorio TEMAF (materiali)

INFO e CONTATTI
- Sorgenti RSS disponibili
- Contatti
- Sitemap
- Termini uso
- Politica sulla privacy dei dati
- Accessibilita'
+ Accreditamento
- Sistema di accreditamento
- Politiche riservatezza
- Regolamento utilizzo strumentazione

ATLANTE ENEA Innovazione Tecnologica
Link to Logo

Catalogo Regionale della Ricerca (HTN)
Link to Logo

Catalogo Regionale delle Attrezzature per la ricerca (HTN)

Come fare a ...

Roveri Smart Village

Gruppo Linkedin Rete Alta Tecnologia

La rete regionale

BIBLIOGRAFIA prodotta dal laboratorio

Lista di tutta la bibliografia

		A hybrid, integrated IEDDS for the management of Sequencing Batch Reactors
Autori		Sottara, D., Bragaglia, S., Pulcini, D., Mello, P., Luccarini, L. Anno 2014
Tipologia		Articolo Conferenza internazionale con referaggio
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.
Referenza_Bibliografica		In: Ames, D.P., Quinn, N.W.T., Rizzoli, A.E. (Eds.), Proceedings of the 7th International Congress on Environmental Modelling and Software, June 15-19, San Diego, California, USA. ISBN: 978-88-9035-744-2.
Unita di Ricerca		X-LAB
LastUpdate		14/03/2017
impact factor		Falso

Il Laboratorio ha realizzato progetti finanziati dai Fondi europei della Regione Emilia-Romagna e dal Fondo per lo sviluppo e la coesione

Sitemap
Termini di uso
Politica sulla Privacy
Accessibilita'

Condividi questa pagina con

condividi

Dichiarazione di accessibilità 6d66ae69-c6fd-4cb9-b536-be3fdfb0144c