摘要
联合收获机作业过程中的粮食损失直接关系到农户的经济效益,掌握准确实时的谷物损失信息,不仅可为机手调整联合收获机工作参数、保证作业质量、提高作业效率提供直观依据,而且便于农户或有关政府部门跟踪、监测和统计各区域的收获损失。谷物损失主要包括割台损失、未脱损失、夹带损失、清洗损失和漏粮损失。其中夹带损失和清选损失在总损失中占有很大比例,因此有必要对其进行实时监控。国内对夹带损失监测方法的研究还处于理论和初步试验阶段,与国外的研究有所差距。提高夹带损失传感器的精度、可靠性和适应性是我国谷物联合收获机信息化发展过程中的难点和关键点。本文从夹带损失监测原理、传感器信号处理系统、传感器减振方法、夹带损失概率分布模型等方面综述了国内外谷物联合收获机夹带损失监测方法和装置的研究进展及其发展趋势。这些将有助于夹带损失传感器的不断改进和升级,为我国实现信息化收获作业奠定坚实的基础。
The grain loss during the operation of combine harvester is directly related to the economic benefits of farmers.Mastering the accurate real-time grain loss information not only provide intuitive basis for the manipulator to adjust the working parameters of combine harvester that ensures the operation quality and improves the operation efficiency but also facilitate farmers or relevant government departments to track,supervise and measure the harvest loss of each region.The grain loss mainly includes the header loss,the unthreshed grain,the separating loss,the cleaning loss and leakage loss.The cleaning loss and separating loss account for a large proportion of grain loss.Therefore,it is necessary to monitor them in real time.Chinese researches on the monitoring methods of the separating loss are still at the theoretical and experimental stage,which is different from the researches oversea.Methods to improve the accuracy,reliability and adaptability of the separating loss sensors are difficult and essential in the information developing process of the grain combine harvester in our country.This paper summarizes the research progress of the monitoring methods and devices of grain combine harvester s separating loss at home and abroad from the aspects of the monitoring principles of the separating loss,the sensor signal processing system,the sensor damping method,the probability distribution model of separating loss.In addition,the developing trend will be analyzed.This will contribute to the continuous improving and upgrading of separation loss sensor and lay a solid foundation for the completion of information harvest in China.
作者
李洋
薛臻
徐立章
李耀明
仇解
王颖峰
Yang Li;Zhen Xue;Lizhang Xu;Yaoming Li;Jie Qiu;Yingfeng Wang(College of Agricultural Equipment Engineering,Jiangsu University,Zhenjiang,212013,China;Taizhou Xiechuang Agricultural Equipment Co.,Ltd.,Taizhou,225300,China)
出处
《智能化农业装备学报(中英文)》
2020年第1期13-23,共11页
Journal of Intelligent Agricultural Mechanization
基金
国家现代农业产业技术体系专项资金(CARS—12)
江苏省农业科技创新基金(CX(19)3083)
江苏省“六大人才高峰”创新人才队伍(TD—GDZB—005)
镇江市产业前瞻与共性关键技术重点研发计划(GZ2017001)。
关键词
联合收获机
夹带损失监测
研究进展
combine harvester
separating loss monitoring
research progress