Research on Algorithm for Measuring Hole Parameters of Aircraft Components in Complex Environments
The existing hole parameter measurement methods are difficult to meet the needs of high quality results in complex environmental conditions,so it is urgent to design new methods to meet the practical application of engi-neering.Based on this,an algorithm was designed,including a hole image acquisition device configured with the same CNC machining tool spindle.A mathematical model based on residual convolution network was constructed for extrac-ting hole features,and a mathematical model for fine recognition of pore size regression and hole position measurement was constructed.Compared with the mainstream CH,RH,SH and Hh methods,the proposed method reduces the cu-mulative deviation of 20 groups of test sample radius to 5/16,1/3,5/16,1/4,and the cumulative deviation of hole lo-cation to 5/39,5/32,5/29,and 10/83,respectively.The average F1-score of orifice defects was 0.94,which reached the standard of 0.9 for industrial applications.Based on the experimental results,it is shown that the proposed algo-rithm has better radius fitting and hole position measurement ability,which can meet the needs of actual identification and detection and effectively help the intelligent transformation and upgrading of aviation devices.
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