Automatic functionality clustering of design project data with compliance verification

Abstract

System and method use an engineering software tool to construct a graphical design of an industrial system for a design project and an artificial intelligence (AI) module integrated with the engineering tool to classify functionality of components for a current design project using a trained machine learning-based model. The AI module receives a knowledge graph for the current project based on data associated with the graphical design. The knowledge graph represents an ontology for a set of elements and element relationships respectively, representative of system components. The AI module identifies a functionality for each knowledge graph node based on the classifier model, clusters knowledge graph nodes according to identified functionality, and generates functionality-based recommendations based on the clusters in response to user queries. Compliance validation of the design data to regulation standards and policy is performed at the component level by an inference engine.