The invention provides an elevator car vibration anomaly early warning method based on a time series prediction model. The method comprises the steps of predicting elevator sensor data through the time series prediction model, and giving an early warning to whether a vibration anomaly occurs or not in advance according to whether a predicted value is within a normal value range or not.