The application discloses a push method and
system of quality defect report
processing measures based on historical experience. The method comprises the following steps: establishing a structured
database; analyzing the text of the
database by using
natural language processing technology, extracting key technical features, and constructing a quality defect report keyword
library; converting the features of the current quality defect report into a numerical vector, which comprises function position coding, key degree classification, safety classification, key sensitive
device type, quality defect report filling condition, whether it is a
nuclear grade device and affects its safety function, whether it is a major repair work order that needs technical discussion, and whether it is a
common mode failure; calculating the similarity between the current quality defect report and the historical quality defect report, and selecting the top set value of historical quality defect reports with the highest similarity; calculating the comprehensive weight; and recommending the
processing measures according to the comprehensive weight order. The application improves the processing efficiency, improves the effectiveness of the measures, iteratively accumulates the defect processing experience, optimizes the recommendation effect, and shortens the
learning curve.