智慧监管技术在工程质量安全检测中的应用研究

Key Points

• The aim is to analyze the application of intelligent supervision technology in engineering quality and safety inspections.
• Utilized Internet of Things (IoT), video recognition, Building Information Modeling (BIM), mobile inspections, and data platforms for real-time data collection.
• Developed a risk dynamic warning system and precise issue notification process with traceability.
• Examined typical scenarios and deep foundation pit warning processes for improvement measures.
• Implemented intelligent supervision technology enhanced real-time data collection and risk monitoring.
• Achieved significant improvements in information accuracy, reducing response times for identified issues.
• Facilitated better traceability and accountability during the inspection process.