建筑工程质量检测大数据平台构建及其在风险预警中的应用

Key Points

• The aim is to create an advanced platform for quality inspection in construction using big data technologies.
• Integrate IoT, cloud computing, and blockchain technologies for data collection and analysis.
• Develop a multi-source data fusion risk assessment model.
• Apply machine learning algorithms for dynamic risk prediction and classification.
• The platform significantly improves the efficiency of quality inspections.
• It reduces the occurrence rate of construction risks.
• Provides a theoretical basis and practical guidance for digital transformation in the construction industry.