基于Delphi可视化编程的旋耕埋草机功耗检测研究
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摘要
旋耕埋草机在作业过程中受到的阻力较大,尤其是在土壤粘重的地区作业,其功耗问题是制约该机发展的重要因素。针对高茬秸秆还田旋耕埋草机实际功耗大小不清楚、刀辊作业时运动参数与功耗的关系不明确等问题,根据功耗检测的基本原理,采用Delphi可视化编程软件,设计了一种新的旋耕埋草机功耗检测系统。该系统由4个模块组成,包括设计采集模块、传感器模块、数据分析模块和Delphi可视化显示模块。将该系统安装在旋耕埋草机上,对其性能进行了检测,并得到了转速、力矩和功耗等检测结果。该检测结果通过数据处理可以在Delphi开发的界面上进行可视化显示,为旋耕埋草机动力分配和节能降耗的研究提供了可借鉴的数据参考。
It is an important factor to restrict the development of the machine Rotary tillage and grass machine in working process by greater resistance,especially in heavy clay soil area and the power consumption. Aiming at the problems of high stubble rotary tillage buried grass machine and actual power consumption value is not clear,operation knife Kun motion parameters and the power consumption of the relationship is not clear,according to the basic principle of power consumption detection by Delphi visual programming software,it designed a new rotary submerged grass machine power detection system. The system consists of four modules,including the design of acquisition module,sensor module,data analysis module and Delphi visual display module. After the system installed on the rotary buried grass machine,its performance were detected,and the detection results of speed,torque and power. Through data processing in Delphi interface display,the detection results shows that a rotary buried grass maneuvering force distribution and energy saving research,which provides useful reference data.
It is an important factor to restrict the development of the machine Rotary tillage and grass machine in working process by greater resistance,especially in heavy clay soil area and the power consumption. Aiming at the problems of high stubble rotary tillage buried grass machine and actual power consumption value is not clear,operation knife Kun motion parameters and the power consumption of the relationship is not clear,according to the basic principle of power consumption detection by Delphi visual programming software,it designed a new rotary submerged grass machine power detection system. The system consists of four modules,including the design of acquisition module,sensor module,data analysis module and Delphi visual display module. After the system installed on the rotary buried grass machine,its performance were detected,and the detection results of speed,torque and power. Through data processing in Delphi interface display,the detection results shows that a rotary buried grass maneuvering force distribution and energy saving research,which provides useful reference data.
引文
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[21]钱建平,杨信廷,吴晓明,等.自然场景下基于混合颜色空间的成熟期苹果识别方法[J].农业工程学报,2012,28(17):137-142.
[22]顾宝兴,姬长英,王海青,等.智能移动水果采摘机器人设计与试验[J].农业机械学报,2012,43(6):153-160.
[23]王海青,姬长英,顾宝兴,等.基于机器视觉和支持向量机的温室黄瓜识别[J].农业机械学报,2012,43(3):163-167.
[24]王辉,毛文华,刘刚,等.基于视觉组合的苹果作业机器人识别与定位[J].农业机械学报,2012,43(12):165-170.
[25]李寒,王库,曹倩,等.基于机器视觉的番茄多目标提取与匹配[J].农业工程学报,2012,28(5):168-172.
[26]李立君,李昕,高自成,等.基于偏好免疫网络的油茶果采摘机器人图像识别算法[J].农业机械学报,2012,43(12):209-213.
[2]丁艳,彭卓敏,夏建林.国内典型稻杆还田技术及机具的比较与分析[J].中国农机化,2010(3):43-46.
[3]郭会军,张建丰,王志林,等.基于Lab VIEW和ARM处理器的大型称重式蒸渗仪测控系统[J].农业工程学报,2013,29(16):134-141.
[4]胡德福.应变式扭矩传感器的设计技术[J].船舶工程,2011,33(4):96-99.
[5]李永嘉,宋建农,康小军.双辅稻秆还田旋耕机试验[J].农业机械学报,2013,44(6):45-49.
[6]倪长安,苗全生,刘玉,等.玉米根巷破碎还田装置设计与试验[J].农业机械学报,2008,39(7):68-71.
[7]乔晓东,王晓燕,颜华,等.基于虚拟仪器旳后悬挂农具田间测试系统[J].农业机械学报,2013,44(10):98-103.
[8]石延平,周庆贵,臧勇.环形差动压磁式非接触动态扭矩传感器的研究与设计[J].中国机械工程,2011,22(17);2026-2029.
[9]石延平,臧勇,周庆贵.基于铁基非晶态合金的非接触半套环式扭矩传感器的研究[J].机械工程学报,2012,48(12):13-17.
[10]宋春华,徐光卫.扭矩传感器的发展研宄综述[J].微特电机,2012,40(11):58-60.
[11]汤跃,黄志攀,汤玲迪,等.基于Lab VIEW的离心泉闭环恒压控制特性试验[J].农业机械学报,2013,44(3):59-63.
[12]喻洪麟,陈薇,何安国.基于环形阵列扭矩传感器的高精度扭矩测量系统设计[J].传感器与微系统,2013,32(7):97-105.
[13]郭艾侠,邹湘军,朱梦思,等.基于探索性分析的荔枝果及结果母枝颜色特征分析与识别[J].农业工程学报,2013,29(4):191-198.
[14]项荣,应义斌,蒋焕煜.田间环境下果蔬采摘快速识别与定位方法研究进展[J].农业机械学报,2013,44(11):208-223.
[15]魏泽鼎,贾俊国,王占永.基于视觉传感器的棉花果实定位方法[J].农机化研究,2012,34(6):66-68,112.
[16]李立君,李昕,高自成,等.基于偏好免疫网络的油茶果采摘机器人图像识别算法[J].农业机械学报,2012,43(11):209-213.
[17]王辉,毛文华,刘刚,等.基于视觉组合的苹果作业机器人识别与定位[J].农业机械学报,2012,43(12):165-170.
[18]袁挺,纪超,陈英,等.基于光谱成像技术的温室黄瓜识别方法[J].农业机械学报,2011,42(S1):172-176.
[19]熊俊涛,邹湘军,陈丽娟,等.采摘机械手对扰动荔枝的视觉定位[J].农业工程学报,2012,28(14):36-41.
[20]吕继东,赵德安,姬伟,等.采摘机器人振荡果实动态识别[J].农业机械学报,2012,43(5):173-196.
[21]钱建平,杨信廷,吴晓明,等.自然场景下基于混合颜色空间的成熟期苹果识别方法[J].农业工程学报,2012,28(17):137-142.
[22]顾宝兴,姬长英,王海青,等.智能移动水果采摘机器人设计与试验[J].农业机械学报,2012,43(6):153-160.
[23]王海青,姬长英,顾宝兴,等.基于机器视觉和支持向量机的温室黄瓜识别[J].农业机械学报,2012,43(3):163-167.
[24]王辉,毛文华,刘刚,等.基于视觉组合的苹果作业机器人识别与定位[J].农业机械学报,2012,43(12):165-170.
[25]李寒,王库,曹倩,等.基于机器视觉的番茄多目标提取与匹配[J].农业工程学报,2012,28(5):168-172.
[26]李立君,李昕,高自成,等.基于偏好免疫网络的油茶果采摘机器人图像识别算法[J].农业机械学报,2012,43(12):209-213.