联合收获机喂入量监测系统设计与试验

Design and Test of Feed Rate Monitoring System for Combine Harvester

摘要:

为了能够实时、准确地获取联合收获机作业过程中的喂入量信息，设计了基于割台传动轴扭矩的喂入量监测系统，并建立了喂入量预测模型。该监测系统主要由信息感知模块、车载终端和移动终端构成。信息感知模块包括扭矩传感器、霍尔传感器和GPS模块等；车载终端将采集信息本地显示并打包上传；移动终端实现了对联合收获机作业参数的远程监测。在建立喂入量预测一元线性回归模型基础上，对扭矩信号进行了双阈值滤波和低通滤波。田间试验结果表明，该系统运行稳定，通信良好，一元线性回归模型预测决定系数为0.755。滤波方法能够有效地滤除噪声，滤波后预测决定系数提高至0.852，能够在一定程度上满足联合收获机喂入量监测的实际需要。

Abstract:

Feed rate is an important index of combine harvester, which directly affects operation efficiency and failure rate. In order to obtain accurate feed rate information constantly in the process of combine harvester operation, a feed rate monitoring system based on header power was designed and developed, and a feed rate prediction model was established. The monitoring system was mainly composed of sensing module, vehicle terminal and mobile terminal. Specifically, the sensing module included torque sensor, hall sensor and GPS receiver, etc. The vehicle terminal displayed the collected information locally and uploaded it to the server, and the mobile terminal realized the remote monitoring of the combine harvester’s operation parameters. Based on the establishment of the linear regression model for the feed rate prediction, the study applied double threshold filtering and low-pass filtering to the torque signal. The field test result showed that the system ran stably and communicated well. It also showed that the predictive determinant coefficient of the linear regression model was 0.755, meanwhile, the filtering method can effectively filter the noise and increase the predictive determinant coefficient to 0.852, which can meet the actual need of the combine harvester’s feed rate monitoring to a certain degree.