Abstract: This paper focuses on the development and application of an AI-powered assistant for reviewing static equipment drawings. A review rule database was established encompassing conditional information, calculation sheet data, key technical requirements and node diagram details. Functionalities including basic data comparison, simple logic verification, review of key technical specifications and examination of typical node diagrams were developed. Testing in real-world projects demonstrated that the AI-powered assistant can effectively replace part of the manual workload, confirming its technical feasibility and application value. Building on this, development plans are formulated for intelligent matching technologies involving structured parsing of national/industry standards and decomposition of complex graphics, aiming to deliver replicable "human-AI collaborative" engineering review solutions for the industry.

Key words: static equipmentldrawing reviewlartificial intelligence (AI)lrule database