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Agricultural Machinery Operation Posture Rapid Detection Intelligent Sensor Calibration Method Based on RBF Neural Network

机译:农业机械运行姿势快速检测基于RBF神经网络的智能传感器校准方法

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摘要

Based on agricultural machinery body posture detection parameters and wheels gesture detection parameters collected by gyro inertial measurement unit, an agricultural machinery operation posture rapid detection method is proposed in this paper. The test results calibrated by RBF neural network show that, the test results of the method are accurate and available, and the method is effective and available for real-time body and wheel status data to further understand the agricultural machinery.
机译:基于农业机械机身姿势检测参数和轮子姿势检测参数由陀螺惯性测量单元收集,本文提出了农业机械运行姿势快速检测方法。 RBF神经网络校准的测试结果表明,该方法的测试结果是准确的,可用的,该方法是有效的,可用于实时机身和车轮状态数据,以进一步了解农业机械。

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