WCSE 2015
ISBN: 978-981-09-5471-0 DOI: 10.18178/wcse.2015.04.067

Research and Discussion on Combine Harvester Cleaning Loss Detection Technology

Wang Su-zhen, Lu Bao-chun

Abstract— Combine harvester is generally used machinery equipment. The design, production and using of combine harvester must ensure grain loss meeting its relevant national indicators of quality and performance. Grain loss mainly come from cleaning parts, so that the research of cleaning loss detection technology is very important. But the combine harvester monitoring system about loss is not universal, basically staying at the research stage in China. Under our existing land conditions, with combine existing holdings, the research value and market prospects are very impressive. From the signal acquisition technology ,signal processing and extraction and vibration sensor structure, this article introduces the domestic and foreign harvester method and apparatus for testing the cleaning loss. It Also analyses the problems of existing research technology and methods , including the complex calibration procedure of sensor and detection devices ,not being high detection accuracy and so on. On this basis, the author puts forward the main research directions of cleaning loss detection technology and its development trends in the future. Firstly, the key sensor technologies are developed in depth. Secondly, application of blind sources separation(BSS) and other signal process technology in the grain cleaning loss extraction. Lastly, research on loss mechanism and automatic controlling technology for cleaning part.

Index Terms— harvester, cleaning loss, signal acquisition technology, signal processing and extraction, blind sources separation(BSS).

Wang Su-zhen, Lu Bao-chun
College of mechanical engineering, Nanjing University of Science & Technology, CHINA
Wang Su-zhen
Nanjing research institute for agriculture Mechanization, Ministry of Agriculture, CHINA


Cite: Wang Su-zhen, Lu Bao-chun, "Research and Discussion on Combine Harvester Cleaning Loss Detection Technology," 2015 The 5th International Workshop on Computer Science and Engineering-Information Processing and Control Engineering (WCSE 2015-IPCE), pp. 406-412, Moscow, Russia, April 15-17, 2015.