Remote real-time monitoring data processing method based on high-order Gaussian mixed model

The invention discloses a remote real-time monitoring data processing method based on a high-order Gaussian mixed model, and belongs to the technical field of data processing. An edge data acquisition terminal based on a data filtering technology of the Gaussian mixed model (GMM) performs data acquisition and analysis on remote equipment at a fixed frequency, a GMM learning machine is built in, through learning, stable value estimation is performed on each data item of the remote terminal so as to determine the stable value of each data item. After the stable value of the data item is obtained, real-time data collected and analyzed by the collection terminal each time is compared with the corresponding stable value, and under the participation of a preset threshold value, whether the currently collected real-time data is sent to the monitoring center end or not is judged; and meanwhile, the acquisition terminal performs data settlement storage on the real-time data according to a set time interval, and the mo