Raw grain blind detection method and system based on two-dimensional code

Abstract

The invention discloses a raw grain blind detection method and system based on a two-dimensional code, and belongs to the technical field of data processing. The method comprises the following steps: for raw grain, sampling to obtain an raw grain sample of the raw grain, determining an assay index of the raw grain sample for the raw grain sample, and generating a two-dimensional code of the raw grain sample for the assay index; sending the raw grain sample and the two-dimensional code of the raw grain sample into a quality inspection center, scanning the two-dimensional code to obtain an assay index, and carrying out quality inspection on the raw grain sample according to the assay index to obtain a quality inspection result; obtaining a test index by scanning the two-dimensional code, writing the quality inspection result into the two-dimensional code according to the test index, obtaining the quality inspection result by scanning the two-dimensional code, and feeding back the quality inspection result to the raw grain system for storage. According to the invention, the detection result of subjective factors is avoided, and the cheating phenomenon is avoided.

Description

technical field [0001] The present invention relates to the technical field of data processing, and more specifically, to a method and system for blind inspection of raw grains based on two-dimensional codes. Background technique [0002] In the quality inspection process of traditional grain collection, after the samples are taken, they are manually numbered and registered on paper by the staff of the grain depot, and then manually passed to the quality inspection room, where the moisture and impurities of the grain are inspected by the staff of the quality inspection room And other quality indicators, after the inspection is completed, the relevant personnel fill in the data on the quality inspection form, and then manually enter it into the computer system. This traditional inspection method not only wastes a lot of human resources due to the manual operation, but also usually has low efficiency. Time consuming. [0003] Inspection results are the basis for assessing gra...

AI Technical Summary

Problems solved by technology

[0002] In the quality inspection process of traditional grain collection, after the samples are taken, they are manually numbered and registered on paper by the staff of the grain depot, and then manually passed to the quality inspection room, where the moisture and impurities of the grain are inspected by the staff of the quality inspection room And other quality indicators, after the inspection is completed, the relevant personnel fill in the data on the quality inspection form, and then manually enter it into the computer system. This traditional inspection method not only wastes a lot of human resources due to the manual operation, but also usually has low efficiency. time consuming

[0003] Inspection results are the basis for assessing grain grades. Due to human factors and driven by interests, phenomena such as "grain of human kindness" and "inspecting A and selling B" abound. Traditional grain quality inspection methods and ineffective supervision methods often cause The quality of the grain in the warehouse is not up to standard, causing huge losses to the grain depot and seriously affecting the safety of grain storage. Due to the limitation of objective conditions in a certain province, the grain depot does not have the inspection and testing conditions. The grain samples after cutting are sent to the designated quality inspection The center conducts inspection and testing, and there are more uncertain factors on the way, and the inspection and testing results are transmitted through paper, which has great disadvantages in both inspection results and inspection efficiency.

Images