Research on Key Technologies and Effect Verification of Anti-Seepage Construction for Water Conservancy and Hydropower Dams Based on BIM Technology

The construction quality of the anti-seepage system of dams in water conservancy and hydropower projects directly affects project safety and long-term operation efficiency. Traditional anti-seepage construction methods have inherent limitations such as information transmission disconnection and insufficient process control precision. Through the systematic integration of BIM and AI technologies, this study proposes an innovative dam anti-seepage construction methodology. A multi-dimensional BIM parametric model including geological conditions, material properties and structural forms is constructed to realize precise design of the anti-seepage system and dynamic simulation of the construction process. An intelligent seepage field analysis model based on machine learning algorithms is developed to evaluate the reliability of anti-seepage structures under multiple working conditions. A full-life-cycle quality control system covering design, construction and operation and maintenance is established. Engineering practice shows that this method significantly improves the scheme optimization efficiency and process control precision of anti-seepage construction, effectively enhances the ability of seepage risk identification and prevention, and provides reliable technical support for dam anti-seepage construction. It has important theoretical and practical value for promoting the digital transformation of quality management models in water conservancy and hydropower engineering construction.