摘要
拖拉机田间作业工况参数实时、同步、适宜频率的采集对于可靠性分析与优化具有重要意义。本文设计了基于NI-C DAQ控制器的拖拉机作业工况参数检测系统,对所需传感器进行了选型、设计及安装,并结合LabVIEW平台开发了检测软件和远程监控平台。该系统由传感器、数据采集控制器和数据采集监测平台组成,可实现对发动机、车轮/桥、悬挂系统和机具等多种机构的参数测取。此外,该系统可通过便携式触摸屏远程控制和实时监测。为了验证检测系统的准确性和稳定性,开展了信号误差测试和典型参数田间试验。信号误差测试结果表明,各类信号的采集误差、丢包率以及初始误差均能满足参数检测系统的要求。在田间测试中,拖拉机车轮速度和实际速度测量值的最大相对误差为3.1%;悬挂系统水平牵引力的计算值与测量值的最大相对误差为4.5%;根据测取的车轮加速度,辨识田间作业地面类型的准确率为96%;根据悬挂位置拟合耕作深度的决定系数R^(2)为0.99156。最后,开展了检测系统田间作业24 h连续运行试验,该系统能始终保持运行稳定与数据准确。开发的拖拉机作业工况信息检测系统相比于同类系统,采集的参数更多,操作更为方便,可为可靠性分析与优化提供有效的数据测取依据。
The real-time,synchronous,and suitable-frequency acquisition of working condition parameters of tractor field operation is of great significance for reliability analysis and optimization.A tractor operating condition parameter testing system based on the NI-C DAQ controller was developed,the required sensors were selected,designed,and installed,and the detection software and remote monitoring platform were developed with the LabVIEW platform.The system consisted of sensors,data acquisition controllers,and data acquisition and monitoring platforms,which can realize the parameter measurement of various mechanisms such as engines,wheels,axles,suspension systems,and implements.In addition,the system can be remotely controlled and monitored in real-time via a portable touch screen.To verify the accuracy and stability of the testing system,signal error tests,and typical parameter field tests were carried out.The results of the signal error test showed that the acquisition error,packet loss rate,and initial error of all types of signals can meet the requirements of the parameter testing system.In the field test,the maximum relative error between the measured tractor wheel speed and the actual speed was 3.1%.The maximum relative error between the calculated and measured values of the horizontal traction force of the suspension system was 4.5%.The accuracy of recognizing the field operation ground type based on the measured wheel acceleration was 96%.The R^(2) for fitting the tillage depth according to the suspension position was 0.99156.Finally,a 24 h continuous operation test of the testing system for field operation was carried out,and the system was able to maintain stable operation and accurate data at all times.Compared with similar systems,the tractor operating condition information testing system developed by this system collected more parameters,which was more convenient to operate,and provided an effective means of data acquisition for reliability analysis and optimization.
作者
王宏伟
温昌凯
刘孟楠
孟志军
刘智勇
罗长海
WANG Hongwei;WEN Changkai;LIU Mengnan;MENG Zhijun;LIU Zhiyong;LUO Changhai(School of Agricultural Engineering,Jiangsu University,Zhenjiang 212013,China;Intelligent Equipment Research Center,Beijing Academy of Agriculture and Forestry Science,Beijing 100097,China;State Key Laboratory of Intelligent Agricultural Power Equipment,Beijing 100097,China)
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2023年第S02期409-416,共8页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家重点研发计划项目(2022YFD2001201)
国家自然科学基金项目(31971800)
国家农业重大科技项目(NK202216010303)
北京市博士后工作经费资助项目(2023-ZZ-112)
