Photoelectric feedback type grain flow detection test device and grain flow prediction method

Abstract

The invention provides a photoelectric feedback type grain flow detection test device and a grain flow prediction method. The test device comprises a scraper type grain elevator and a grain unloading bin, an elevator chain is arranged in the scraper type grain elevator, and the two sides of the elevator chain are connected with a plurality of parallel elevator scrapers; a plurality of groups of array laser correlation type sensors are respectively mounted on two sides of the scraper type grain elevator, and a tilt angle sensor is mounted at the top of the scraper type grain elevator; a photoelectric distance measuring sensor is mounted at a grain outlet; a rotating speed sensor is mounted at the elevator chain; and based on the grain stacking length, the rotation speed of the elevator, the inclination degree of the elevator and the gain volume increment of grains in the grain unloading bin in unit time, which are acquired by the test device, as input of a trained BP neural network, a grain flow predicted value is output. According to the test device, a combine harvester can obtain accurate grain flow information in a complex working environment, and the grain flow prediction accuracy is improved.

Description

technical field [0001] The invention belongs to the technical field of agricultural machinery measurement, and in particular relates to a photoelectric feedback type grain flow detection test device and a grain flow prediction method. Background technique [0002] Grain flow detection is an important part of the intelligent technology of the combine harvester, and it is also an indispensable link in the process of realizing precision agriculture research and practice. During the working process of the combine harvester, the measurement accuracy of grain yield is affected by interference such as mechanical vibration, uneven road surface, and straw and leaves. Therefore, it is of great significance to develop a grain flow detection device with stable performance and to design a method to improve the dynamic measurement accuracy. [0003] At present, grain flow measurement mainly adopts contact measurement and non-contact measurement. The contact measurement mainly adopts the...

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Problems solved by technology

[0004] The photoelectric grain flow sensor at home and abroad has been investigated, and its adaptability to the complex working environment of farmland is strong, but the measurement accuracy will also be affected by many factors, such as dust on the surface of the light source generator and receiver, and changes in the speed of the elevator

In addition, the irregular shape of the grain in the elevator caused by the vibration and inclination of the machine body during the operation of the harvester is also an important factor affecting the measurement accuracy. The measurement error of the volume of irregularly shaped grains is large

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