Big data based on potential failure mode analysis method using progonstics system of machine equipment

摘要

An object of the present invention is to provide a failure prediction method for preventing failure in advance when detecting abnormal symptoms by analyzing the state information of machine equipment in a production line based on failure type big data. Accordingly, in the present invention, a data conversion unit that captures the screen of each part of the mechanical equipment photographed in real time by a plurality of camera modules as an image and converts the operation form for each timeline into text data, provided by the PLC device of the machinery A data generation unit that generates failure type data by integrating the driving data and the text data of , a machine learning unit that updates the failure prediction model of each part through machine learning using at least one of failure type data and variables, a failure prediction unit that predicts the failure of the corresponding machine facility based on the failure prediction model, and Disclosed is a method for predicting potential failure of mechanical equipment using failure type big data including a repair parts determining unit that determines repair parts required for the corresponding mechanical equipment according to the failure prediction of the failure predicting unit.