人工智能在建筑工程进度预测与风险预警中的应用探索

Key Points

• This research aims to explore how artificial intelligence can enhance construction project management through progress prediction and risk warning.
• Systematic review of AI techniques in construction management.
• Analysis of the integration of BIM, IoT, and big data for intelligent progress management.
• Exploration of benefits and challenges in AI models for risk factor identification.
• Increased accuracy in progress predictions using AI models.
• Effective identification of risk factors affecting construction timelines.
• Development of dynamic warning systems showcasing improved management capabilities.