Intelligent online meat quality detection method and system

Abstract

The invention discloses an intelligent meat quality online detection method. The method comprises steps of acquiring the light intensity information of pixel points of a to-be-detected sample , and judging the attribute information of the pixel points according to the light intensity information of the pixel points, and the attribute information comprising muscles and fat; determining the muscle and fat distribution information of the to-be-detected sample according to the pixel point attribute information; determining a target detection area of the to-be-detected sample according to the muscle and fat distribution information of the to-be-detected sample; obtaining a near infrared spectrum of the target detection area of the to-be-detected sample, and predicting various meat quality parameter values according to the near infrared spectrum. The intelligent meat quality online detection system is advantaged in that the system overcomes defects that a traditional meat quality optical detection system cannot be on line, depends on manpower and is low in efficiency, further overcomes the defect that a common online detection system is inaccurate in positioning, and is suitable for online detection of an industrial production line.

Description

technical field [0001] The invention relates to the technical field of food processing. More specifically, the invention relates to an intelligent online meat quality detection method and detection system. Background technique [0002] Traditional meat quality detection methods are mainly physical and chemical analysis methods, which have disadvantages such as cumbersome steps, time-consuming, labor-intensive, destructive, and lagging results. Near-infrared spectroscopy has the advantages of convenient spectrum collection, short analysis time, no damage to samples, no consumption of reagents, and no pollution to the environment. Chemometrics can be used to complete multi-index detection of complex systems, and it has gradually been widely used in agriculture and industry. All fields of non-destructive testing. [0003] At present, there are related patent documents on the application of near-infrared spectrum near-infrared quality online detection, such as the patent "A ne...

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Problems solved by technology

[0004] However: when detecting solid samples with different shapes of meat products, the irregular surface, inconsistent size and non-uniform surface shape of the samples are a huge challenge for the online detection of near-infrared spectroscopy, which is the core reason for inaccurate results; and Current and future patented technologies, such as the patent "a non-destructive detection technology for pork freshness based on near-infrared spectroscopy and microscopic fat cell data fusion (CN101936894A)", "a detection method for mutton origin (CN201710977247)", "water injection meat Detection method and device (CN201310136236)" has no elaboration or less description on how to better realize the application on the production line

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