Ground subsidence prediction method, training method, device and equipment

The invention provides a land subsidence prediction method, a training method, a training device and equipment, and the method comprises the steps: responding to the received observation data of multiple dimensions of a target region in a current time period, carrying out the synchronous processing of the observation data, and obtaining the real-time observation data; adjusting model parameters of a pre-training model based on the real-time observation data by using a Kalman filtering algorithm to obtain a target land subsidence prediction model, the pre-training model being obtained by training an initial model by using historical observation data of multiple dimensions of the target area in a historical period; the real-time observation data are input into the target land subsidence prediction model, prediction information is output, and the prediction information represents the probability of land subsidence of the target area in the future time period. 本发明提供了一种地面沉降预测方法、训练方法、装置、设备，该地面沉降预测方法包括：响应于接收到的针对目标区域