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小麥聯合收獲機測產誤差動態(tài)自校準方法設計與試驗
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現代農業(yè)產業(yè)技術體系專項資金項目(CARS-03)和國家重點研發(fā)計劃項目(2016YFD0700300、2016YFD0700303)


Error Dynamic Self-calibration Method for Grain Yield Monitoring Based on Combine Harvester
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    為了進一步提高小麥聯合收獲機谷物測產系統(tǒng)的準確性與穩(wěn)定性,本文在第1代基于光電漫反射原理的小麥聯合收獲機測產裝置基礎上,結合定量螺旋輸送原理,設計了一套聯合收獲機測產誤差動態(tài)自校準系統(tǒng),提出了一種在聯合收獲機動態(tài)條件下,測產誤差自動進行反饋校準的方法。該系統(tǒng)由谷物體積傳感器、卸糧轉速傳感器、糧倉糧位傳感器、數據采集與處理模塊、顯示終端和誤差反饋校準軟件組成。2020年6月在北京市小湯山國家精準農業(yè)研究示范基地分別進行了卸糧轉速傳感器性能試驗、室內螺旋輸送臺架試驗和室外田間動態(tài)自校準性能驗證試驗。卸糧轉速傳感器性能試驗結果表明卸糧轉速傳感器相對誤差小于2%。臺架試驗結果表明,在不同的卸糧轉速下,系統(tǒng)監(jiān)測值與實際輸出值誤差不大于2.5%,定量螺旋輸送谷物瞬時流量與轉速呈線性關系,R2達到0.9937。田間試驗表明,采用測產誤差動態(tài)自校準方法的測量誤差在-2.95%~3.13%,比未使用該方法的測產裝置測量結果降低了0.45個百分點,同時系統(tǒng)的誤差波動減小。測產誤差動態(tài)自校準方法為小麥田間產量信息的準確獲取提供了一種新的測量手段。

    Abstract:

    It is one of the most important information to obtain accurate grain yield for precision agriculture. In order to further improve the accuracy and stability of grain yield monitor system, a new dynamic selfcalibration method which was based on the first generation of photoelectric grain yield monitor system and the principle of quantitative screw conveying was designed. The system was composed of grain volume sensor, unloading grain cylinder speed sensor, grain tank state sensor, data acquisition and processing module, display terminal and error feedback calibration software. In order to verify the accuracy of the system, the simulation test of quantitative screw conveying which was at different rotation speeds and different inclination angles was carried out. In June 2020, the field performance experiments were carried out at Beijing Xiaotangshan National Precision Agriculture Research and Demonstration Base. The performance test results of the unloading speed sensor showed that the error of the unloading speed sensor was less than 2%. Bench test results showed that the error between the monitored value of the system and the actual output value was less than 2.5% at different unloading speeds. There was a linear correlation between the flow rate and the rotational speed, and the correlation coefficient was 0.9937. The field error dynamic selfcalibration experiment result showed that the relevant error was -2.95%~3.13%, which was decreased by 0.45 percentage points compared with that of the measuring device without this system. At the same time, the error fluctuation of the system was reduced. The dynamic selfcalibration system provided a new method to improve the accuracy of grain yield monitor.

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周永華,易志祥,羅長海,李立偉,安曉飛,張安琪.小麥聯合收獲機測產誤差動態(tài)自校準方法設計與試驗[J].農業(yè)機械學報,2020,51(s2):147-153. ZHOU Yonghua, YI Zhixiang, LUO Changhai, LI Liwei, AN Xiaofei, ZHANG Anqi. Error Dynamic Self-calibration Method for Grain Yield Monitoring Based on Combine Harvester[J]. Transactions of the Chinese Society for Agricultural Machinery,2020,51(s2):147-153.

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  • 收稿日期:2020-08-15
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  • 在線發(fā)布日期: 2020-12-10
  • 出版日期: 2020-12-10
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