Laser engraving precision control method and system

Abstract

The present invention relates to the technical field of processing precision control, and specifically to a laser engraving precision control method and system. The system includes a feature acquisition unit, a model construction and analysis unit, a dynamic threshold adjustment unit, and an online incremental learning unit. In the present invention, the feature acquisition unit collects vibration, current, and temperature data through a multi-source sensor array and extracts energy entropy features; the model construction and analysis unit utilizes a bidirectional long short-term memory network (LSTM) combined with an attention mechanism to realize dynamic prediction of processing parameters; the dynamic threshold adjustment unit dynamically updates numerical control system parameters based on real-time detection of material hardness and a thermal-mechanical coupling model; the online incremental learning unit automatically generates training samples through error data to continuously optimize model parameters. A closed loop of "data acquisition-intelligent modeling-dynamic compensation-model evolution" is constructed to achieve accurate prediction and adaptive adjustment of processing parameters, significantly improving the adaptability of the manufacturing process to multi-variety and small-batch working conditions.