Tibor Szalay, Zoltán Repcsényi, Géza Haidegger
APPROPRIATE INFORMATION PROCESSING FOR TELEMONITORING OF MANUFACTURING PROCESSES
Importance of telepresence application increases in the field of manufacturing. In production the main activities are divided; the locations of management, design, manufacturing and services are separated sometimes to diverse countries or continents. The development of information technologies and telecommunication made possible the sense of presence from a remote location. In this paper authors introduce a set of information processing methods that was developed to answer the new challenges of telepresence application in manufacturing. Process signals, such as cutting force or acoustic emission, were processed using linear prediction method. Due to this transformation of process signals not only the amount of the relevant information was reduced but we also gain an expressive form to distinguish the deviated states of machining processes. The developed monitoring method was used successfully for experimental monitoring of different machining operation in the case of highly differing signal types. As another type of data processing for telepresence applications, data based visualization method was suggested instead of direct broadcasting video information. The simulated virtual environment, the generated diagrams, the properly selected information may help in telediagnostics of complex manufacturing environment. As an experimental demonstration the monitoring of robotized manufacturing was investigated.