Soybean physical detection system

Abstract

The invention provides a soybean physical detection system, which comprises a supporting platform, an electric screening machine, a conveying belt, a sample analysis device, a quality statistics device and automatic weighing devices. The conveying belt and the electric screening machine are arranged on the supporting platform. The electric screening machine is located in front of the conveying belt. A first impurity drain hole is formed in front of the electric screening machine. The sample analysis device comprises an observation box, an analysis disc and tweezers, wherein a second impurity drain hole, a third impurity drain hole and a fourth impurity drain hole are formed in front of the observation box. The quality statistics device comprises a statistics host, a keyboard and a mouse. The automatic weighing devices are respectively and correspondingly arranged below the first impurity drain hole, the second impurity drain hole, the third impurity drain hole and the fourth impurity drain hole and on the right side of the conveying belt. By adopting the system, impurities in soybeans and related unqualified soybean grains can be automatically picked out and weighed. Meanwhile, the automatic calculation of various indexes is achieved through the statistics host. Therefore, not only the soybean detection efficiency is improved, but also the detection labor intensity is also reduced.

Description

technical field [0001] The invention relates to a soybean physical detection system. Background technique [0002] As an economic crop, soybean has a wide planting area in our country. The quality of soybean determines its price and use, so the correct determination of the quality is very important. The physical inspection indicators of soybean quality mainly include intact kernel rate, impurity content, damaged kernel rate, heat damaged kernel rate and color. When inspectors inspect soybeans, they mainly conduct inspections according to the regulations of GB / 5494. During the inspection, in order to determine the complete kernel rate, impurity content, damaged kernel rate and heat damaged kernel rate of soybean samples, inspectors are required to sort and weigh the impurities and unqualified soybean types involved in the above indicators in sequence, and then Carry out data statistics and calculate the corresponding soybean indicators. During the above inspection process, t...

AI Technical Summary

Problems solved by technology

During the inspection, in order to determine the complete kernel rate, impurity content, damaged kernel rate and heat damaged kernel rate of soybean samples, inspectors are required to sort and weigh the impurities and unqualified soybean types involved in the above indicators in sequence, and then Carry out data statistics and calculate the corresponding soybean indicators. During the above inspection process, the inspectors need to carry out multiple weighing operations, resulting in low inspection efficiency, and the labor intensity brought to the inspectors under long-term operation It is also large, which will easily lead to large errors in the weighing readings of later inspection personnel, thus affecting the quality calibration of soybeans

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