Hawthorn slicer cutter state monitoring and self-adaptive calibration method and system based on multi-sensor fusion

By employing multi-sensor fusion and visual calibration, the problems of high false alarm rate, high missed alarm rate, and sensor drift in the tool condition monitoring of hawthorn slicers were solved. This enabled real-time tool breakage detection, wear warning, and consistent slice thickness, ensuring equipment stability and high product yield.

CN122299752APending Publication Date: 2026-06-30SHANXI SIJIFENG MODERN AGRICULTURAL SCIENCE & TECHNOLOGY DEVELOPMENT CO LTD
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Patent Information

Application Number
CN202610574058.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-28
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing hawthorn slicer blade condition monitoring technology suffers from high false alarm rate, high false alarm rate, lack of self-calibration mechanism, failure to provide proactive early warning, and monitoring benchmark failure due to sensor drift, making it difficult to ensure slice thickness consistency and equipment stability.

Method used

By employing a multi-sensor fusion method, combining current signals, vibration acceleration signals, and slice images, and through time-domain analysis and visual calibration, a closed-loop monitoring system is constructed to achieve real-time determination of tool fracture and early warning of wear trends. Furthermore, the sensor thresholds are calibrated in reverse using slice thickness.

Benefits of technology

It significantly reduces the false alarm rate of tool breakage, enables proactive wear warning, extends tool life, ensures consistent slice thickness and production stability, and improves the long-term reliability and yield of the monitoring system.

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Abstract

The invention provides a hawthorn slicer cutter state monitoring and self-adaptive calibration method and system based on multi-sensor fusion. A spindle motor current signal, a tool rest vibration acceleration signal and a slice image are collected, and feature values are extracted; when the vibration characteristic value suddenly changes and the current characteristic value synchronously suddenly drops, it is judged that the cutter is broken, and sudden stop is triggered; when the fracture is not judged, the current mean value change trend is monitored to generate wear early warning; and starting visual acquisition according to a preset condition to obtain an actual slice thickness, reversely solving a threshold value compensation amount through a thickness deviation according to a mapping relation between the pre-calibrated slice thickness and current and vibration characteristic values, and adaptively correcting a judgment threshold value. According to the invention, the misjudgment rate of cutter breakage is reduced, active early warning of wear is realized, sensor drift is compensated, and the yield of slices is guaranteed.
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