This invention discloses a
robot for quality inspection of precast beam reinforcement cages that integrates multi-source heterogeneous data, belonging to the field of building
engineering quality inspection. The
system includes: a mobile scanning subsystem, which autonomously moves around the reinforcement cage under test, avoids obstacles, and collects multi-site 3D
point cloud data; a
data processing subsystem, which automatically registers the multi-site
point cloud data, analyzes the registered model, automatically extracts features of longitudinal reinforcement,
transverse reinforcement, gaskets, and corrugated pipes, and calculates key
quality data such as reinforcement spacing, number of bars, length, and the number and location of gaskets; and a
report generation subsystem, which summarizes the
calculated data and automatically generates a standardized inspection report. The method of this invention includes path planning,
data acquisition,
point cloud registration,
feature extraction, data calculation, and
report generation steps. This invention overcomes the shortcomings of low efficiency, poor accuracy, low safety of manual inspection, and the cumbersome nature of traditional scanning methods, achieving automated, high-precision, and full-coverage quality inspection of reinforcement cages, thus improving inspection efficiency.