拖拉机驾驶员视野自动测量系统设计与试验

Design and Test of Automatic Measurement System for Tractor Driver's Field of View

摘要:

针对传统视野测量方法依赖人工操作且测量强度大、效率低和精度差等问题,本文设计了一套拖拉机驾驶员视野自动测量系统。通过优化现有标准的数学模型,消除原假设带来的误差,并考虑遮挡物与瞳孔非平行情况,使其更精确用于视野参数测量。设计了包含Arduino Mega 2560、位移传感器、旋转平台等模块的硬件系统,可测量多个视野参数。开发低通滤波和分段样条插值拟合算法处理采集数据,确保结果准确并设计上位机软件实现数据可视化与结果展示。试验测试结果表明,系统能准确自动地测量拖拉机驾驶员视野遮蔽区的阴影弦长,与人工测量误差不大于9.3%,具有较高的测量效率和稳定性,可为实际农业生产提供有效的视野测量技术支持。

Abstract:

In response to issues with traditional field of view measurement methods,such as dependence on manual operation,high measurement intensity,low efficiency,and insufficient accuracy,the design of an automated measurement system for the field of view of tractor drivers was presented. By optimizing the mathematical model established in existing standards,errors introduced by original assumptions were eliminated. The system also accounted for non-parallel conditions between obstructions and the pupil,allowing for more accurate measurement of field of view parameters. A hardware system comprising an Arduino Mega 2560,displacement sensors,a rotating platform,and other modules was designed to measure multiple field of view parameters. Low-pass filtering and piecewise spline interpolation algorithms were developed to process the collected data,ensuring result accuracy. Upper-computer software was also designed to achieve data visualization and result presentation. Test results indicated that the system can automatically and accurately measure the shadow chord lengths of obscured areas in the tractor driver's field of view. Compared with manual measurements,the error was no more than 9.3%,demonstrating high measurement efficiency and stability. The system can thus provide effective technical support for field of view measurement in practical agricultural production.