Research on Real-time Monitoring Technology and System Development for Asphalt Pavement Compaction Degree

This paper delves into the development and implementation of a real-time monitoring system for the compaction degree of asphalt pavements, addressing the need for improved quality control in road construction. The study employs a comprehensive approach that integrates mathematical statistics and Backpropagation Neural Network (BPNN) technology to create an efficient and robust monitoring framework. The system is designed to meet functional requirements such as real-time data transmission, accurate and effective data collection, in-depth data analysis, user-friendly system design, timely information feedback, and scalable functionality.