| Abstract [eng] |
Nowadays, efforts are made to automate various processes. Manufacturing industry is using software controlled machines and / or robots to create end-product. When a part fails the whole operation of the machinery has to be stopped to execute repairs. Sometimes a failure might even cause more damage to surrounding parts or machinery. For a period of time a lot of custom software were needed for machine intercommunication and it was hard to maintain it. In 2009 the MTConnect standard emerged – a free standardized way to transfer machine data via the internet. Since then an increased demand to remotely monitor and analyze machinery data can be observed in the manufacturing industry. This brings benefits such as decrease in time, labor and expense costs, better competition conditions and remote machine supervision. In this project, software is developed which collects data from machines using MTConnect protocol and analyzes it to detect recurring failures. This document contains analysis of the master’s thesis, in which the standard specification and data collection principles is analyzed, existing systems using this standard are reviewed and compared. Also, the document contains project part, which describes the entire design process. Lastly, experiment results are summarized and ideas for further system improvements are presented. |
