The application discloses a roundness detection device and method for finished aluminum
alloy pipes, and relates to the technical field of
pipe detection. The method comprises the following steps: constructing a multi-
modal perception array and calibrating mapping to the
pipe axis, triggering synchronous acquisition of cross-section
point cloud and vibration signals by a constant-speed sliding table, generating an
attractor feature matrix based on
phase space reconstruction and coding dictionary, constructing a weighted
directed graph to extract
pulse energy distribution for accurate positioning of deviation nodes, combining
energy gradient and
connectivity change to adaptively correct the
decision threshold and dynamically switch the enhanced precision, fast detection and steady tracking
modes, continuously optimizing
model parameters by online comparison with actual measurement values of a high-precision roundness gauge, and finally generating a quality report containing deviation distribution, grade statistics and unique
traceability identification to support batch
traceability and remote query. Through the combination of
phase space reconstruction
attractor coding,
pulse energy density analysis and dynamic
mode switching, efficient identification, accurate positioning and balance between precision and efficiency of slight deviations are realized.