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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Development of a Real-Time Tillage Depth Measurement System for Agricultural Tractors: Application to the Effect Analysis of Tillage Depth on Draft Force during Plow Tillage
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Development of a Real-Time Tillage Depth Measurement System for Agricultural Tractors: Application to the Effect Analysis of Tillage Depth on Draft Force during Plow Tillage

机译：农业拖拉机实时耕作深度测量系统的开发：在耕作耕作中耕深对吃水力影响分析中的应用

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The objectives of this study were to develop a real-time tillage depth measurement system for agricultural tractor performance analysis and then to validate these configured systems through soil non-penetration tests and field experiment during plow tillage. The real-time tillage depth measurement system was developed by using a sensor fusion method, consisting of a linear potentiometer, inclinometer, and optical distance sensor to measure the vertical penetration depth of the attached implement. In addition, a draft force measurement system was developed using six-component load cells, and an accuracy of 98.9% was verified through a static load test. As a result of the soil non-penetration tests, it was confirmed that sensor fusion type A, consisting of a linear potentiometer and inclinometer, was 6.34–11.76% more accurate than sensor fusion type B, consisting of an optical distance sensor and inclinometer. Therefore, sensor fusion type A was used during field testing as it was found to be more suitable for use in severe working environments. To verify the accuracy of the real-time tillage depth measurement system, a linear regression analysis was performed between the measured draft and the predicted values calculated using the American Society of Agricultural and Biological Engineers (ASABE) standards-based equation. Experimental data such as traveling speed and draft force showed that it was significantly affected by tillage depth, and the coefficient of determination value at M3–Low was 0.847, which is relatively higher than M3–High. In addition, the regression analysis of the integrated data showed an R-square value of 0.715, which is an improvement compared to the accuracy of the ASABE standard prediction formula. In conclusion, the effect of tillage depth on draft force of agricultural tractors during plow tillage was analyzed by the simultaneous operation of the proposed real-time tillage depth measurement system and draft force measurement system. In addition, system accuracy is higher than the predicted accuracy of 40% based on the ASABE standard equation, which is considered to be useful for various agricultural machinery research fields. In future studies, real-time tillage depth measurement systems can be used in tractor power train design and to ensure component reliability, in accordance with agricultural working conditions, by predicting draft force and axle loads depending on the tillage depth during tillage operations.
机译：这项研究的目的是开发一种用于农用拖拉机性能分析的实时耕作深度测量系统，然后通过土壤非穿透性测试和耕作期间的田间试验来验证这些配置的系统。实时耕作深度测量系统是通过使用传感器融合方法开发的，该方法由线性电位计，倾斜仪和光学距离传感器组成，以测量所连接工具的垂直穿透深度。此外，使用六分量测力计开发了牵伸力测量系统，并通过静态载荷测试验证了98.9％的精度。作为土壤非渗透性测试的结果，可以确认，由线性电位计和倾角仪组成的传感器融合A型比由光学距离传感器和倾角仪组成的传感器融合B型精度高6.34–11.76％。因此，在现场测试期间使用了传感器融合A型，因为发现它更适合在恶劣的工作环境中使用。为了验证实时耕作深度测量系统的准确性，使用美国农业和生物工程师学会（ASABE）基于标准的方程式，对测得的吃水深度和预测值之间进行了线性回归分析。行驶速度和吃水力等实验数据表明，耕作深度对耕作深度有显着影响，M3-Low处的测定值系数为0.847，相对高于M3-High。此外，对集成数据的回归分析显示R平方值为0.715，与ASABE标准预测公式的准确性相比，这是一个改进。总之，通过同时使用实时耕作深度测量系统和牵引力测量系统，分析了耕作深度对耕作机农用拖拉机牵引力的影响。此外，系统精度高于基于ASABE标准方程式的40％的预测精度，这被认为可用于各种农业机械研究领域。在未来的研究中，实时耕作深度测量系统可用于拖拉机动力传动系设计，并根据农业工作条件，通过根据耕作操作期间的耕作深度预测吃水力和轴负载来确保部件的可靠性。

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