The invention provides a
dynamic compaction construction quality intelligent monitoring method and
system based on multi-
source data fusion. According to the method, multi-
source data such as Beidou positioning and orientation,
winch Hall sensing and rammer tension sensing are integrated, firstly, a dynamic
base line formed by double Beidou antennas is used for resolving the
pitch angle and settlement of a
machine body in real time, dynamic deformation compensation is conducted on a ramming settlement measured value, and the real ground ramming settlement is obtained;
cross validation and self-diagnosis are carried out on drop
distance measurement through multi-sensor data, and fault indication and data compensation are carried out in case of
abnormality; and finally, on the basis of the compensated real compaction settlement and compaction energy, the change of the unit
energy consumption ratio is calculated and monitored in real time, so that construction abnormity is diagnosed, and early warning is triggered. The corresponding
system comprises a Beidou subsystem, a
winch monitoring subsystem, a rammer state monitoring subsystem, a
data processing and control subsystem and the like. According to the invention, the monitoring precision, reliability and intelligent level of the
dynamic compaction construction process are effectively improved, and the conversion from experience construction to data-driven
intelligent control is realized.