Aiming at the problems of low efficiency， high cost， and safety hazards in the manual inspection of building facilities， this study proposes a virtual inspection system scheme based on software robotics (RPA) technology. First， a dynamic digital twin building model and update algorithm based on BIM data are constructed， forming a real-time mapping relationship with the on-site facility operation status. Then， a multi-modal deep learning-based device defect detection network is designed to achieve automatic high-precision defect detection. Finally， the heterogeneous system integration and the application of intelligent scheduling algorithms are realized based on the software robotics technology architecture， and an integrated software robotics inspection system is developed. Preliminary verification was carried out in the experimental scenarios. The results show that the virtual inspection robot system based on the software robotics technology architecture has: the facility defect detection accuracy improved to over 97%， surpassing single-modal detection methods； the operation efficiency is increased by an average of more than 62.3% compared to traditional methods；the maintenance manpower demand is reduced to 60%-80%， demonstrating good engineering application value.