基于Android手机的联合收获机主要部件工况监测系统

Monitoring System for Main Parts Working Condition of Combine Harvester Based on Android Mobile Phone

设计了一种基于物联网Android手机的联合收获机主要部件工况信息监测系统。主要通过C8051F020微处理器外接多霍尔传感器,实现对联合收获机主要工作部件如脱粒滚筒转速、输送器转速等关键信息获取,通过物联网平台由Android智能手机实现对数据的实时接收。通过在单片机中采用基于目标信号瞬时变化趋势的故障诊断方法,将故障状况监测信息进行传输,从而实现对联合收获机关键信息以及故障状况实时监测。模拟试验表明,该系统在下位机采集系统、服务器端以及客户端表现稳定,数据丢失率小于5%,信息获取延迟时间小于2 s,报警及时、正确,满足联合收获机户外工作远程信息采集与故障监测要求。

To solve the present stage combine monitor system lack of remote network interconnection and remote monitoring ability of operating data and fault information,this paper developed an information monitoring system for main parts working condition of combine harvester based on Android mobile phone.On the basis of combine local monitoring system, we can achieve effective monitoring and fault information processing for revolution speed of threshing cylinder,a stirring dragon speed and similar parameters,and realize Android client remote operation and fault information monitoring. Mainly through the C8051F020 microprocessor connected with multi hall sensor,the key information of the main working parts,such as revolution speed of threshing cylinder,stirring dragon speed,was acquired. C8051F020 through UART0 serial interface with SIM900 A module and SIM900 A module sent a TCP connection request to the China mobile internet open platform server. Then the data was received by a Android smart phone based on network platform in real-time. Using the fault diagnosis method based on the instantaneous variation trend of the target signal in the single chip microcomputer for fault diagnosis,transmitted fault information of condition monitoring was used to realize real-time monitoring for combined harvester critical information and fault diagnosis. Simulation tests showed that the lower computer acquisition system,server and client performance were stable,data loss rate was controlled within( less than) 5%,information access delay time was less than 2 s with alarm in time and correctly,and was able to meet the requirements of remote information acquisition and fault monitoring when combine harvesters work outdoors.