Two-waveband spectrum fusion method and system for performing multi-parameter detection on fresh meat

Abstract

The invention provides a two-waveband spectrum fusion method and system for performing multi-parameter detection on fresh meat, which belong to the field of fast nondestructive detection on food quality. The method comprises the following steps of: respectively setting the integral time, the sampling frequencies and the horizontal sliding frequencies of two spectrographs; setting the optimum connection point of spectrum curves generated by the two spectrographs; defining parametric variables according to the optimum connection point; respectively acquiring data by the two spectrographs according to the defined parametric variables; performing data conversion on the acquired data; performing data integration on the converted data; and generating a full-wave-band curve according to the integrated data. The system comprises a detection probe, a Y-shaped optical fiber, the two spectrographs and treatment equipment. The method and the system can be used for fusing the spectroscopic data of the two spectrographs with different wave bands and overlapping effective wave sub-bands, and displaying the spectrum curves in an interface. The method and the system are applicable to the fast and non-destructive detection and research on quality parameters such as moisture content, fresh degrees and colors of the fresh meat, and can implement the forecast and the online grading on the quality parameters of the fresh meat.

Description

technical field [0001] The invention relates to the field of rapid and non-destructive detection of livestock meat quality, in particular to a dual-band spectral fusion method and system for multi-parameter detection of fresh meat. Background technique [0002] Beef grading refers to dividing beef products into different grades according to the market's recognition of beef quality, so as to realize the benefit distribution of high quality and high price. The widespread promotion of beef grading plays an important role in the healthy development of the beef industry. It can guide beef producers to conduct qualitative breeding, scientific feeding, and standardized slaughtering and segmentation, so that they can produce beef products with high quality and high price; Regulate the beef market to form a benign and healthy market competition; it can also guide consumers to consume correctly and ensure the fairness of transactions. [0003] The current quality grading indicators f...

AI Technical Summary

Problems solved by technology

Many scholars at home and abroad use spectrometers to predict beef tenderness, moisture and other quality parameters, but because the optical detectors used by the visible-near-infrared spectrometer and the near-infrared spectrometer are different, the spectral detection can only be done on two spectrometers , the collected spectral data comes from two channels, which are two sets of independent data, and because the effective bands covered by the two spectrometers overlap, it is impossible to obtain a complete and optimal set of data with a wide coverage of spectral data

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