Optimization and scheduling algorithm for construction progress based on artificial intelligence

The purpose of this article is to study the optimization and scheduling algorithm of building construction progress based on AI (Artificial intelligence), so as to improve the construction efficiency and shorten the construction period. Therefore, this article constructs an algorithm model combining DL (Deep learning) technology. The model can make full use of all kinds of data in the process of building construction, and realize the accurate prediction of construction progress and the optimal allocation of resources. In terms of methods, this article selects representative building construction projects as experimental objects, and designs an experimental scheme including data collection, pretreatment, model training, testing and other steps. Through the experimental verification, this article finds that the algorithm model has high prediction accuracy and optimization effect, which can significantly shorten the construction period and improve the construction efficiency. The research results show that the AI-based construction schedule optimization and scheduling algorithm has significant advantages and application prospects. The proposed algorithm model provides a new method for construction schedule management, which can be further improved to adapt to the changing market environment in the future.