Intelligent grading check system for grain quality and check method thereof

Abstract

The invention discloses an intelligent grading check system for grain quality. The system comprises a sample mixing and separating machine. A grain impurity intelligent check meter is carried to an output end of the sample mixing and separating machine while the other output end of the sample mixing and separating machine outputs a traceable sample. A water check meter, a volume-weight check meterand a grain unsound grain intelligent check meter are successively connected to the grain impurity intelligent check meter. The system also comprises an information recording device connected to theparts. The invention also discloses a specific check method of the system. The method comprises the following steps: the sample mixing and separating machine separates the traceable sample and the check sample in the grain samples and separates and weighs the impurities and grain for the check sample, separately; a part of separated grain is detected in water and volume-weight while intact particles, damaged particles and mildewed particles of the other part are screened and weighed, separately; and data is transmitted to the information recording device to generate a check result report automatically. The system avoids influence of manual factors, is just and equitable in check result and provides precise reference data for grading and pricing the grain.

Description

technical field [0001] The invention relates to the technical field of grain sampling and testing equipment, in particular to an intelligent grain quality grading inspection system, and also relates to a specific inspection method of the inspection system. Background technique [0002] In the process of grain purchase, it is necessary to inspect multi-phase indicators such as grain moisture, bulk density, impurities, imperfect grains, moldy grains, etc., and grade and price the grain according to the inspection results. The traditional grain inspection method is to identify with human eyes, manually pick up impurities, damaged grains, moldy grains, etc., and then weigh the impurities, damaged grains, and moldy grains separately, and calculate the inspection results. It is relatively mature. After automatic detection, it can be manually entered into the storage device for storage and processing together with the calculation and inspection results of impurities, damaged grains...

AI Technical Summary

Problems solved by technology

The above inspection method is slow, takes a long time, and is highly subjective. The inspection data is significantly disturbed by human factors. In many cases, it cannot truly reflect the quality of the grain, so the grading and pricing of the grain are not accurate.

Images