Distance adjusting method and system for online detection of meat quality

Abstract

The invention provides a distance adjusting method and system for online detection of meat quality. The method comprises the steps of transmitting to-be-detected meat to a laser sensor through a conveyor belt, and obtaining an average height value of the to-be-detected meat based on a middle region mean value calculation algorithm, transmitting the average height value of the to-be-detected meat product to a control unit, obtaining the optimal detection distance of a detection probe according to an optical signal modeling result, and controlling a height adjusting module to complete height adjustment of the detection probe based on the optimal detection distance of the detection probe by the control unit, after the to-be-detected meat is transmitted to the optimal detection region corresponding to the detection sensor, triggering the upper computer control software to control the optical information acquisition module based on a signal of the middle detection region of the to-be-detected meat, and acquiring sample detection data. Through real-time adjustment of the detection distance from the probe to the sample, determination of the distance between the laser sensor and the detection sensor and optical information acquisition of the optimal detection region of the sample, accurate optical data is obtained, and a foundation is laid for subsequent meat quality modeling.

Description

technical field [0001] The invention relates to the technical field of food optical detection, in particular to a distance adjustment method and system for on-line detection of meat quality. Background technique [0002] In the field of online meat quality inspection, due to the heterogeneity and diversity of sample morphology, it is difficult to achieve accurate quality inspection. In actual detection, ensuring the consistency of sample detection height and the fixity of detection position becomes the key factor to determine the validity and stability of detection data. [0003] Among the existing schemes, some schemes are to obtain optical signal data at different measurement heights, optimize the detection distance from the fiber optic probe to the sample surface, and collect the optical signal information of 54 pork samples at 13 different distances Finally, by analyzing the mathematical models under different detection distances and different wave bands, the optimal de...

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Problems solved by technology

[0004]In the actual optical inspection of samples, the static height measurement method cannot be used in the fast online system. Distribution state, when detecting optical signal data or image data, only considering a single sample thickness cannot represent the height data of the overall sample, and it is difficult to establish an accurate prediction model without obtaining representative optical signal data in the central area of ​​the sample. It is not conducive to the promotion and application of optical technology in the field of food online inspection

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