Obiettivo
The aim of the QUIC project was to design, implement and validate a prototype development environment for knowledge-based system applications in the area of industrial process and plant automation.
The QUIC environment conforms to the paradigm of a tool-kit, in that it comprises a design methodology and a set of task specific tools. The tool-kit approach allows the user to select the tools and configure an application KBS to meet the requirements of the problem at hand. With respect to other tools available on the market, the QUIC tool-kit offers a higher level working environment, suitable for specific domains. The initial objective of addressing on-line real-time applications has been relaxed to a ddress areas where timing issues exist but are less critical.
In the first phase (2.5 years), the requirements of a basic set of tools, called the kernel tool-kit were identified, and the tool-kit was designed, developed and validated. The design and the construction of the kernel tool-kit was supported in a very concrete way by the design and the experimentation of three demonstrator applications in the area of process monitoring, diagnosis, and control. In the second phase (1.5 years) the results of the experimentation on the demonstrators and of the toolkit validation were assessed, the conclusions were used in a redesign of the toolkit and the range of application was extended.
The aim of the project was to design, implement and validate a prototype development environment for knowledge based system applications in the area of industrial process and plant automation. The environment conforms to the paradigm of a toolkit, in that it comprises a design methodology and a set of task specific tools. The toolkit approach allows the user to select the tools and configure an application knowledge based system (KBS) to meet the requirements of the problem at hand. With respect to other tools available on the market, the toolkit offers a higher level working environment, suitable for specific domains. The initial objective of addressing online real time applications has been relaxed to address areas where timing issues exist but are less critical. In the first phase, the requirements of a basic set of tools, called the kernel toolkit, were identified, and the toolkit was designed, developed and validated. The design and the construction of the kernel toolkit was supported by the design and the experimentation of three demonstrator applications in the area of process monitoring, diagnosis, and control. In the second phase the results of the experimentation on the demonstrators and of the toolkit validation were assessed, the conclusions were used in a redesign of the toolkit and the range of application was extended. The project produced a complete toolkit and a methodology that should allow the partners to implement KBS techniques in a wide range of large scale industrial applications. The toolkit contains a facility for qualitative simulation, a component based language, a rule based interpreter using fuzzy logic, a production rule system, and a high level procedural language in the form of event graphs.
The project produced a complete tool-kit and a methodology that should allow the partners to implement KBS techniques in a wide range of large-scale industrial applications.
In summary, the QUIC tool-kit contains a facility for qualitative simulation, a component-based language, a rule-based interpreter using fuzzy logic, a production rule system, and a high-level procedural language in the form of event graphs.
These facilities have been validated in the following three demonstrator applications:
-for the diagnosis of a steam condenser of a thermal power plant, by Ansaldo and CISE
-for supporting operators in the control of the attitude of a geostationary telecommunications satellite, and in the diagnosis of failures in a satellite power supply by Aerospatiale and Framentec
-for the control of a cement manufacturing plant, by F.L.Smidth CAP Sogeti Innovation and Heriot-Watt University.
Exploitation
The QUIC project was mainly viewed as a way of developing and reviewing a technology, in terms of both methodology and tools. Two of the demonstrator projects have already spun off exploitation projects by the partners concerned.
The QUIC tool-kit provides a set of KBS tools for automating such tasks as monitoring, fault diagnosis, control, simulation and training. It has now been completed and will be used in the commercial development of process control applications.
Campo scientifico (EuroSciVoc)
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP. Cfr.: Il Vocabolario Scientifico Europeo.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP. Cfr.: Il Vocabolario Scientifico Europeo.
- ingegneria e tecnologia ingegneria meccanica ingegneria dei veicoli ingegneria aerospaziale tecnologia satellitare
- scienze sociali sociologia relazioni industriali automazione
- scienze naturali informatica e scienze dell'informazione intelligenza artificiale sistemi esperti
- ingegneria e tecnologia ingegneria elettrica, ingegneria elettronica, ingegneria informatica ingegneria informatica telecomunicazioni
- scienze naturali informatica e scienze dell'informazione intelligenza artificiale intelligenza computazionale
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Programmi di finanziamento pluriennali che definiscono le priorità dell’UE in materia di ricerca e innovazione.
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Meccanismo di finanziamento (o «Tipo di azione») all’interno di un programma con caratteristiche comuni. Specifica: l’ambito di ciò che viene finanziato; il tasso di rimborso; i criteri di valutazione specifici per qualificarsi per il finanziamento; l’uso di forme semplificate di costi come gli importi forfettari.
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Coordinatore
20090 Segrate
Italia
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