During the BIM design, due to massive information contained in model files, frequent model modifications, and a good deal of information exchanges, it often leads to loss or inaccuracy of model information, thereby affecting work efficiency. To address these concerns, this study focuses on leveraging the window database and model elements, using Revit API functions, and exploring component overlap rectification, model breakdown and integration, and comprehensive pipeline comparisons. What's more, the paper proposes a comprehensive BIM model processing methodology, which is complemented by the integration of genetic algorithms to optimize pipeline design. Through automated difference comparisons and the evaluations of design results, it substantially elevates the efficiency and design quality of BIM design work.