Automobile part quality monitoring system based on big data

The invention discloses an automobile part quality monitoring method based on big data, and the method comprises the following steps: 1, collecting the parameters of each welding part of an automobile frame part, and analyzing the welding problems of each welding part in the welding process according to each parameter; 2, a high-precision sensor is adopted for measuring the area of a welding position and calculating the area of a non-welding position caused by welding lack; thirdly, the monitoring system improves the appearance picture definition of the welding position based on an existing monitoring angle, and the welding problem and influence parameters occurring at the welding position are monitored; fourthly, monitoring and sampling are conducted in the frame welding process, high-frequency parameters influencing welding are analyzed on the basis of repair welding time of all welding positions where problems occur, and optimization and adjustment are conducted; 5, the system visually displays analysis re