Multi-sensor integrated monitoring equipment and its application to dynamic compaction quality in construction

Due to high labor costs, low monitoring efficiency, and susceptibility to subjective factors, manual monitoring methods are gradually difficult to meet the needs of dynamic compaction construction development. To this end, we innovatively developed a vision-based intelligent monitoring equipment and its supporting systems, focusing on key indicators during construction (tamping points layout, tamping times and tamping settlement). By integrating technologies such as GNSS-RTK, computer vision and photogrammetry, we monitor the operation of the Dynamic Compaction Crane (DCC), track the motion of the hammer, so as to achieve automatic monitoring of dynamic compaction construction process to provide feedback for construction control. The field experiment verified the monitoring accuracy and practical feasibility of the intelligent equipment. The non-contact monitoring method can reduce the interference of manual monitoring on construction, greatly improve the construction efficiency, and provide more objective and accurate monitoring results. •A vision-centric self-analytical monitoring solution for Dynamic compaction crane (DCC) operations is proposed to enhance the dynamic compaction construction management.•An integrated vision-based intelligent monitoring equipment without necessitating structural retrofit to DCC is designed.•Integration of pattern recognition and photogrammetry is used to process positioning and construction image sequences to enable multi-indicator monitoring of tamping points layout, tamping times and tamping settlement.•The track-after-detect strategy and the effective tamping node pattern are introduced for automatic tamping counting.•A ring-shaped cooperative target and the P3P-based hammer pose estimation algorithm are designed to measure tamping settlement.