Gas ultrasonic flowmeter inspection method and system based on machine learning

The invention discloses a method and a system for testing a gas ultrasonic flowmeter based on machine learning, and relates to the technical field of gas ultrasonic flowmeters.By means of a preliminary testing module and system, reference gas can be selected in advance, known data of the reference gas can be monitored, and whether the gas ultrasonic flowmeter is normal or not is judged according to a measurement result; the accuracy and the reliability of measurement can be improved; the test module can observe the first amplitude difference Fc1 and judge whether the sensor has a fault or not, when the first amplitude difference Fc1 is not zero, the system can quickly lock the fault of the ultrasonic sensor, and the position where the fault exists can be determined in time; the data acquisition module monitors environment and impurity data inside and outside the pipeline in real time through a camera and a self-inspection program, a complete inspection data set is established, and sufficient information is pr