Research of Continuous Compaction Detection Method Based on Embedded System

Continuous compaction detection method was investigated. For the monitoring, an embedded-based detector was designed. For the trajectory, a collaborative positioning method was proposed. For the effects, harmonic analysis was introduced. Positioning experiments were conducted and the accuracy was improved to 0.48 m. Rolling tests were performed with three passes, and for the whole area, the average compaction meter values (CMVs) were 98.22, 139.21, and 215.45. The average compaction control values (CCVs) were 103.05, 155.45, and 196.68. Thus the trends of CMV and CCV changing were consistent with rolling. Combining with monitoring video, CMV was more sensitive to irregular operations. For the specific section, the average multiples of CMVs were 1.42, 1.56, and CCVs were 1.51, 1.33. Thus, CMV was more consistent with lower dispersion, and was selected as compaction degree parameter. The results showed that continuous compaction detector meet the monitoring requirements at low-cost, and could lay foundation for intelligent compaction.