A Data Processing-Based Method and System for Detecting Steel Strip Hole Spacing

Abstract

This invention belongs to the field of hole spacing detection technology, specifically relating to a method and system for detecting hole spacing in steel strips based on data processing. The method includes: constructing a dynamic prediction window covering the hole to be detected based on historical position data of the previous hole and standard hole spacing parameters; constructing a micro-slip correction coefficient based on the second-order difference characteristics of the pulse time series, using the micro-slip correction coefficient to correct the reference steel strip stroke equivalent, and generating a dynamic effective pulse equivalent; interpolating based on the trigger timestamp and the dynamic effective pulse equivalent to obtain the absolute position of the hole; calculating the actual hole spacing based on the absolute positions of two adjacent holes, and determining the detection result based on tolerance standards. This invention improves the robustness and measurement accuracy of hole spacing detection in steel strips under unsteady conditions such as speed changes, vibration, and slippage.

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