Bayesian classification recognition system based on industrial PaaS platform

A Bayesian classification recognition system based on an industrial PaaS platform, comprising a computer hardware facility, an IaaS infrastructure service layer, a G-PaaS graph neural network processing layer, an O-PaaS docking service layer and an SaaS system application layer, wherein:

• the IaaS infrastructure service layer is configured for providing physical resource control service and management for a request submitted by the G-PaaS graph neural network processing layer;
• the G-PaaS graph neural network processing layer is configured for providing background underlying computing service support to the SaaS system application layer, and at least comprises a point cloud feature generation module, a point cloud feature learning module, a point cloud structure estimation module and a point cloud model classification module;
• the point cloud feature generation module pre-processes a point cloud feature through a diffusion-based spatial code, generates an original feature of point cloud, and represents a structural role of each node in the point cloud from a global perspective;
• the point cloud feature learning module aggregates feature information of a plurality of edges connected with a central node by using a graph neural network with an attention mechanism to represent feature information of the central node;
• the point cloud structure estimation module calculates a feature similarity of a node with surrounding nodes by using an estimation method self-adaptive to Bayesian network structure learning, and selects an adjacent node as a neighboring node of the node according to the feature similarity to define a spatial local critical region;
• and the point cloud model classification module completes convergence of a graph neural network model by realizing iterative optimization of the point cloud feature learning module and the point cloud structure estimation module for point cloud model classification;
• the O-PaaS docking service layer is configured for providing a data docking service and an authority authorization service between the SaaS system application layer and a private cloud SaaS system and the G-PaaS graph neural network processing layer, and between a point cloud acquisition system of the O-PaaS docking service layer and the G-PaaS graph neural network processing layer;
• and
• the SaaS system application layer is configured for being orientated to a user and connected with the O-PaaS docking service layer, and
• at least comprises a user input management module, a platform management module, a collaborative design module, a checking module, a document management module and a workpiece classification result display module.