【摘要】 作业循环阶段以及工况的自动识别是挖掘机节能技术的基础研究。当前识别方法多利用智能算法且借助大量外部传感器，占用过多计算资源、可靠性低、成本高，因而难以部署到现有挖掘机控制器。为了解决上述问题，提出一种基于动臂角度和回转压力的识别方法。首先根据挖掘机作业机理提取作业循环各阶段的划分特征，通过操作手柄电流和动臂角度信号实现特征识别。借助挖掘机工作装置角度传感器验证作业循环阶段划分结果，分段误差在0.3 s以内，准确率为83.3%。然后基于挖掘机不同工况在作业循环阶段的运行机理，由动臂角度信号实现搭台与平地的工况识别，准确率为90%;由回转马达压力信号实现装车与甩方的工况识别，准确率为83.3%,识别结果主要受到作业循环阶段划分准确率的影响。更多还原

【Abstract】 The automatic identification of working cycle stages and working conditions is the basic research of excavator energy-saving technology. The current recognition methods mostly use intelligent algorithms and a large number of external sensors, which take up too much computing resources, low reliability and high cost, so it is difficult to deploy to the existing excavator controller. In order to solve the above problems, a recognition method based on moving arm angle and rotary pressure is proposed. First of all, the division features of each stage of the operation cycle are extracted according to the excavator operation mechanism, and the feature recognition is realized by operating handle current and moving arm angle signal. With the help of the excavator working device angle sensor to verify the division results of the operation cycle stage, the segmentation error is less than 0.3 s, and the accuracy is 83.3%. Then, based on the operation mechanism of different working conditions of the excavator in the working cycle stage, the working condition identification of the platform and the flat ground is realized by the moving arm angle signal, and the accuracy is 90%; the working condition identification of loading and swinging is realized by the rotary motor pressure signal, and the accuracy is 83.3%, which is mainly affected by the accuracy of the division of the operation cycle stage.更多还原