Issues on Applying Knowledge-Based Techniques in Real-Time Control Systems
Author(s) -
Doina Zmaranda,
Helga Silaghi,
Gianina Gabor,
Codruţa Vancea
Publication year - 2012
Publication title -
international journal of computers communications and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.422
H-Index - 33
eISSN - 1841-9844
pISSN - 1841-9836
DOI - 10.15837/ijccc.2013.1.181
Subject(s) - downtime , computer science , real time control system , knowledge based systems , control (management) , control system , domain knowledge , set (abstract data type) , real time computing , software engineering , artificial intelligence , operating system , engineering , electrical engineering , programming language
At the time being knowledge-based systems are used in almost all life aspects. The main reason for trying to use knowledge-based systems in real-time control is to reduce cognitive load on users (overload), their application proving to be important when conventional techniques have failed or are not sufficiently effective [1]. The development of automated diagnosis techniques and systems can help also to minimize downtime and maintain efficient output. This paper presents some issues of applying knowledge-based systems to real-time control systems. It describes and analyzes the main issues concerning the real-time domain and provides possible solutions, such as a set of requirements that a real-time knowledge-based system must satisfy. The paper proposes a possible architecture for applying knowledge-based techniques in real-time control systems. Finally, a way of employing knowledge-based techniques for extending the existing automatic control and monitoring system for the geothermal plant from the University of Oradea is presented.
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