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Quality control method in caviar processing

A quality control method and technology for caviar, applied in the field of food processing, can solve the problems of unguaranteed quality and quality of sturgeon caviar, and achieve the effect of eliminating human error and ensuring quality and quality.

Active Publication Date: 2019-03-08
北京市农林科学院信息技术研究中心
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the existing processing of sturgeon caviar, the quality of sturgeon caviar is mainly controlled by controlling the temperature and sanitation of the processing environment. However, the quality and quality of sturgeon caviar are still not guaranteed by this control method

Method used

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  • Quality control method in caviar processing
  • Quality control method in caviar processing
  • Quality control method in caviar processing

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Embodiment Construction

[0043] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are part of the embodiments of the present invention, not all of them. the embodiment. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0044] The purpose of the present invention is to establish a quality control method for caviar processing. With the help of measurement and control technology and Internet of Things technology, the method of informationization is adopted to make caviar in the process of processing without affecting the processing speed of caviar. In a controlled state, optimize the control of key processing steps, pr...

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Abstract

The invention provides a quality control method of caviar in a processing course. The quality control method comprises the following steps: obtaining the standard attribute parameters of the caviar to be processed, wherein the standard attribute parameters comprise the variety and the grade of the caviar; according to the standard attribute parameters, obtaining the mark information of sturgeons to be processed from an attribute database of raw materials namely the sturgeons, wherein the attribute database of the raw materials namely the sturgeons comprises the corresponding relation of the mark information of the raw materials namely the sturgeons and the standard attribute parameters, and the mark information is used for reflecting the attribute of the raw materials namely the sturgeons; according to the mark information of the sturgeons to be processed, obtaining sturgeon roes; determining the pickling time of the sturgeon roes by using a fuzzy expert system; and pickling the cleaned sturgeon roes for the pickling time so as to obtain the caviar. The quality control method disclosed by the invention can ensure the quality of the caviar.

Description

technical field [0001] The invention relates to food processing technology, in particular to a quality control method in the caviar processing process. Background technique [0002] Strictly speaking, only sturgeon roe that has been lightly salted can be called caviar. Sturgeon caviar is rich in protein, multivitamins and trace elements. The ratio of essential amino acids is close to that of human body, and its nutritional value is high. As a precious food, sturgeon caviar is known as "black gold" and ranks first among the world's three major delicacies. [0003] The main raw materials for the production of sturgeon caviar are wild sturgeon and artificially farmed sturgeon. With the dwindling of wild sturgeon resources and trade restrictions on related products, artificially farmed sturgeon has shown a steady growth trend. In recent years, artificially farmed caviar has gradually replaced wild caviar and has become the main product supplied by the caviar market. However, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A23L17/30
Inventor 杨信廷解菁孙传恒刘学馨陈曦
Owner 北京市农林科学院信息技术研究中心
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