The invention discloses an intelligent processing feature recognition method based on point cloud semantic segmentation, and the method comprises the steps: converting a machining feature intelligentrecognition problem of a part CAD model into a semantic segmentation problem of a three-dimensional point cloud model, building a three-dimensional part CAD model library, and carrying out the preprocessing of the three-dimensional part CAD model library, and obtaining a training data set; furthermore, inputting the data set into an improved PointNet semantic segmentation network, enabling the network to take the PointNet semantic segmentation network as a basic framework, and improving the segmentation precision by introducing a residual block structure of a ResNet network; and finally, inputting the various machining features into a detection module, verifying the machining feature types through abnormal point detection and a DBSCAN clustering algorithm, and determining the number of themachining features. According to the intelligent process feature identification method, cross-part type and cross-feature type machining feature extraction is achieved, the problem that special-shaped machining features, free-form surfaces and composite machining features are difficult to recognize is solved, and system integration of full-life-cycle information of enterprise reuse machining features and manufacturing industry computer-aided software is facilitated.