Pressure transmitter abnormity monitoring method based on big data

The invention relates to the technical field of data processing, and provides a pressure transmitter abnormity monitoring method based on big data, which comprises the following steps: acquiring a pressure standard data sequence, and acquiring a plurality of pressure data of a pressure transmitter to form a pressure data sequence; clustering the pressure standard data sequence to obtain an abnormal pressure judgment threshold value, and obtaining a vibration interference factor of each pressure data according to a standard pressure Gaussian model of the pressure standard data; according to the vibration interference factors and distribution of the pressure data, obtaining the abnormal probability of each pressure data; the variance model is corrected according to the abnormal probability and the vibration interference factor, and a classification result is obtained according to a variance result and an abnormal pressure judgment threshold value; and judging whether the pressure data is abnormal or not accordi