Knowledge Graph based Quality Supervision Question-and-Answer System for Offshore Oil Engineering

With the developments of offshore oil industry, a large number of specification documents have been implemented in the field of offshore oil engineering quality, which has placed significant posed pressure and a series of challenges to the traditional manual inspection method of engineering quality. This paper uses entity relationship recognition, data extraction and graph database technologies to construct a quality knowledge graph for offshore oil engineering. Subsequently, a quality supervision question-and-answer (Q&A) system for offshore oil engineering is developed based on this knowledge graph. The system has functional modules including quality inspection Q&A and problem case retrieval, enabling intelligent Q&A for quality inspection. This not only enhances the standardization and work efficiency of quality inspection but also elevates the intelligence level of quality supervision operations in offshore oil engineering projects.