Food detection meat water content detecting method and system based on big data

Abstract

The invention belongs to the technical field of food processing, and discloses a food detection meat water content detecting method and system based on big data. The system is provided with a clampingbuckle, a glass cover sheet, a humidity sensitive resistance sheet, a humidity sensor shell, a placing table, an external connection socket, an electric quantity displaying screen, a battery holder,a heat dissipation net, a switch button, a battery, a guide line and an external connection guide line. The placing table is embedded in the humidity sensor shell, the humidity sensitive resistance sheet is adhered to the placing table, the glass cover sheet is clamped to the upper face of the placing table, the clamping buckle is embedded in the glass cover sheet, the electric quantity displayingscreen is embedded in the upper face of the humidity sensor shell, and the switch button is embedded in the upper face of the humidity sensor shell. The food detection meat water content detecting method and system are convenient and practical, can effectively lower the experience requirement to detection personnel, improve the detection precision, and can effectively improve the efficiency of meat water content detection, the unnecessary workload is reduced, and the using requirements of operators are effectively satisfied.

Description

technical field [0001] The invention belongs to the technical field of food processing, and in particular relates to a big data-based method and system for detecting the water content of food and meat. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] At present, in the field of food processing, meat is widely used as one of the main raw materials for production and processing. When processing meat, the water content of meat is an important data, which has a great impact on processing time and process methods. It is also an important means to detect the quality of meat, such as detecting whether it is water-injected meat. The traditional method of detecting water content in meat is to detect by visual inspection or touch. Using this method requires inspectors to have rich experience. When it is too large, the inspectors are prone to visual fatigue due to excessive use of their eyes, and the detection ...

AI Technical Summary

Problems solved by technology

[0005] Due to different animal species, the freshness of the meat is different, and the water content in the meat is also different. During the inspection, it often occurs that the inspection personnel's technology cannot meet the operation requirements, and the wrong operations such as lack of experience often make the inspection of the meat The efficiency of water content detection is greatly reduced;

[0006] Moreover, the detection accuracy of the current device is insufficient and cannot meet the needs of users

[0007] In the existing power management, intelligent control is not involved, which sometimes causes inspection deviations

[0008] The existing hologram preprocessing technology has the disadvantages of cumbersome filter design process, high cost, and difficulty in finding the spectrum; it is difficult to determine the range of filtering; it is difficult to determine the filtering amplitude; it is easy to lose useful object-light information; The processed hologram obtained by Lie transform doubles the amount of calculation; it cannot be applied to online continuous image processing

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