Bergamot pear pulp crispness detection method based on force-sound synchronous acquisition

Abstract

The invention discloses a bergamot pear pulp crispness detection method based on force-sound synchronous acquisition. The method comprises the specific steps of 1 preparing a bergamot pear sample; 2 carrying out puncture testing and mechanical characteristic parameter extraction; 3 carrying out sound signal AED low-frequency acquisition analysis and parameter extraction; 4 performing high-frequency acquisition and de-noising preprocessing on a sound signal recorder; 5 extracting high-frequency acquisition acoustic time domain characteristic parameters; 6 extracting high-frequency acquisition acoustic frequency domain characteristic parameters; 7 performing sensory evaluation on the crispness of the bergamot pear; 8 analyzing the correlation between the sensory evaluation result and the force-sound characteristic parameters; 9 performing principal component analysis and dimension reduction on the force-sound characteristic parameters; 10 constructing and verifying a multivariate linear regression bergamot pear crispness detection model based on principal components; and 11 constructing and verifying a bergamot pear crispness detection model based on the BP neural network of the principal components. The method is based on force-sound synchronous acquisition, integrates force-sound multi-characteristic parameters, establishes the multivariate linear regression and BP neural network bergamot pear crispness evaluation model, and realizes objective and accurate evaluation of the bergamot pear crispness.

Description

technical field [0001] The invention relates to a method for detecting the crispness and texture of Korla fragrant pears, in particular to a method for detecting the crispness of fragrant pear pulp based on synchronous collection of force and sound. Background technique [0002] Korla fragrant pear is a special pear fruit in Xinjiang, and its "crispy" quality is the highlight of the publicity of the fragrant pear industry. Crispness is one of the important indicators to reflect the internal quality of fragrant pears. Crispness cannot be simply equated with hardness. It is the comprehensive perception of force and sound behavior produced by people during the process of chewing the pulp. Accurate measurement. At present, the main detection method of brittleness is sensory evaluation, but the sensory evaluation personnel are prone to fatigue and the evaluation efficiency is low, and the evaluation results are easily affected by subjectivity. Therefore, it is urgent to find a m...

AI Technical Summary

Problems solved by technology

Therefore, in the mechanical evaluation of the crispness of fragrant pears, it is necessary to combine acoustic testing methods. There are two types of sound detection methods for food breaking: contact and non-contact. The contact acoustic testing method mainly uses piezoelectric sensors and AE sensors. Acoustic emission s

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