In the traditional production line manufacturing process, quality information is discretized, data acquisition and storage information are not timely, process quality status cannot be monitored in real time, resulting in untimely handling of product quality abnormalities, waste of production costs and inaccurate judgments of process capabilities. To resolve this problem, taking the headstock box processing production line as the research object, a dynamic quality control solution for parts processing based on exponenentially weighted moving average(EWMA) method was proposed, and the QMS quality control architecture model was established by using the integration of exponential weighted moving average method optimization, OPC real-time data acquisition system, Web development platform, MySQL database. Through the real-time collection and transmission of quality data during the manufacturing process of the spindle box production line, the information data for process quality monitoring could be obtained. Combined with EWMA, the control range of key quality characteristic values in the machining process of the spindle box body was analyzed, and the drawn SPC control curves were displayed on the client, by which the real-time and accuracy of quality control could be effectively improved.