Big Data based compressor failure prediction System and method

摘要

The present invention relates to a big data-based compressor failure prediction system and method, and after receiving operation state information according to the operation of one or more compressors by time information through a wired/wireless communication network, an ARIMA model is applied to the operation state information of the compressor by time information By applying the SVM model and future operation prediction data after the present time, the operation state information and the normal operation standard information of the compressor stored in the operation state DB unit are compared and analyzed to generate future failure prediction data after the present time and future operation. By applying the prediction data and future failure prediction data to create a failure state prediction model, and then generating and transmitting information on future failure through the failure state prediction model, it is possible to recognize in advance the presence or absence of abnormalities in the future operation state of the compressor It is possible to efficiently manage maintenance by recognizing compressor abnormalities before they occur.