Downhole working condition intelligent diagnosis method based on big data analysis

The invention relates to an underground working condition intelligent diagnosis method based on big data analysis. The underground working condition intelligent diagnosis method sequentially comprises the following steps that A, a background analysis model of underground faults is established; b, acquiring real-time vibration acceleration data of the polish rod of the oil pumping unit; c, sending the background analysis model and the real-time vibration acceleration data into a real-time identification module for comparison and diagnosis; and D, outputting a diagnosis result. The step A specifically comprises the following steps: A1, acquiring effective vibration acceleration data of the polish rod of the oil pumping unit in batches; a2, transmitting the data to a background and preprocessing the data; a3, marking normal and fault vibration acceleration data respectively; a4, extracting root mean square energy of each type of vibration acceleration data; a5, drawing an atlas of root mean square energy changin