Keywords process control, knowledge-based systems, PLCs, real-time systems
Start Date: 01-JAN-91 / Duration: 24 months
[ contact / participants ]
The objective of this project is to design and implement a new generation of knowledge-based diagnostic tools that continuously acquire data from programmable logic controller (PLC) systems, identify possible malfunctions, search for their causes and suggest corrective actions. The main innovation will lie in the use of diagnostic models that integrate the classical heuristic and associative approaches.
The project is investigating the use of deep models that reproduce the functional and operational logic embedded in the ladder logic of a PLC. A study has shown that these models contain design and engineering knowledge in a more usable form compared to that held in the minds of the designers themselves.
Two software tools will be developed at a prototype stage:
The tools will be tested on a synthetic fibre spinning plant.
The following results have been achieved:
The final results of the project will be:
These results will be exploited by Pirelli, SNIA, BMT and Siemens.
Mr Marco Rosazza
SNIA BPD - FIAT GROUP
Via Friuli 55
I - 20031 CESANO MADERNO
tel: + 39/ 362 5141
fax: + 39/ 362 514600
telex: 320503 SNIAFI I
SNIA BPD - FIAT GROUP - I - C
BMT FLUID MECHANICS LTD - UK - P
SIEMENS AG - D - P
PIRELLI INFORMATICA SPA - I - P
DIREK - 5114, December 1993
please address enquiries to the ESPRIT Information Desk
html version of synopsis by Nick Cook