In view of the problem of equipment failure caused by wear during operation,an equipment wear condition online evaluation system based on oil monitoring technology was developed and researched. By using Java technology and Microsoft SQL database, the wear health record of monitoring equipment was established and the oil analysis method was established.The improved GM (1,1) model was used to realize the realtime prediction of the development trend of online oil data indicators.It is of great significance to the evaluation of abnormal wear condition and the prediction of equipment health evolutionary trend.