Experimental Results and Analysis of Threshing Effect of Threshing Elements
- DOI
- 10.2991/978-94-6463-058-9_151How to use a DOI?
- Keywords
- Damage rate; Information technology; Big data statistics; Threshing effect
- Abstract
In order to solve the problem of high damage rate of corn during the mechanical harvesting of corn, information technology was used to efficiently count the harvest of corn kernels, and a low-damage corn threshing element was designed to improve the threshing effect of corn during threshing. The method is used to analyze, design and optimize the key components of the thresher. Through the information technology big data statistics, the experimental results are acquired, processed, processed, and presented to obtain the result big data analysis image, and the results of the image analysis are deeply discussed to obtain the mechanism of damage to the corn kernel by the threshing element. When processing different threshing parts under the background of informatization, when the threshing element is a round head nail; when the drum speed is 520 r/min; four tooth bars, the number of nail teeth on each tooth bar is 14 time; results with relatively good threshing effect. Then verify the conclusion that the designed threshing element can effectively improve the threshing effect.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yongming Shao AU - Mingming Wu PY - 2022 DA - 2022/12/27 TI - Experimental Results and Analysis of Threshing Effect of Threshing Elements BT - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022) PB - Atlantis Press SP - 970 EP - 974 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-058-9_151 DO - 10.2991/978-94-6463-058-9_151 ID - Shao2022 ER -