新能源工程机械远程监控平台开发

逯岳奇¹，纪少波^1*，车仁海²，侯德峰²，赵家洋²，徐昊智¹，安萌¹

1.山东大学核科学与能源动力学院，山东 济南  250061；

2.山东泉海汽车科技有限公司，山东 聊城  252800

摘要：为解决纯电动装载机远程监控困难的问题，基于Qt软件架构方法，分析纯电动装载机远程监控中对多源信息实时感知、智能故障预警、网络健康管理及数据高效管理的需求，开发一套远程监控平台，该平台集成视频与音频实时同步传输，实现多视角还原作业现场，控制局域网（controller area network，CAN）报文解析以动态显示车速、油压、电量等关键参数并实现异常报警，智能故障分级预警以监测整车控制器、电机、电池等核心部件故障及运行风险并进行多重报警，网络健康动态监测以实时识别网络异常并联动整车系统，以及数据自动存储与清理功能。该平台可有效提高电动装载机远程作业的安全性。

关键词：新能源；装载机；远程驾驶；远程监控平台

Development of a remote monitoring platform fora new energy construction machinery

LU Yueqi¹, JI Shaobo^1*, CHE Renhai², HOU Defeng², ZHAO Jiayang², XU Haozhi¹, AN Meng¹

1. School of Nuclear Science, Energy and Power Engineering, Shandong University, Jinan 250061, China;

2.Shandong Quanhai Automotive Technology Co., Ltd., Liaocheng 252800, China

Abstract: To address the challenges of remote monitoring for pure electric loaders, a remote monitoring platform is developed based on the Qt software architecture method. This platform analyzes the requirements of real-time perception of multi-source information, intelligent fault early warning, network health management, and efficient data management in remote monitoring of pure electric loaders. The platform integrates real-time synchronized transmission of video and audio to achieve multi-perspective reconstruction of the working site; parses controller area network (CAN) messages to dynamically display key parameters such as vehicle speed, fuel pressure, and battery level while triggering abnormal alarms; implements intelligent hierarchical fault early warning to monitor faults and operational risks of core components such as vehicle controllers, motors, and batteries and issue multiple alarms; conducts dynamic network health monitoring to real-time identify network anomalies and interact with the vehicle system; and features data automatic storage and cleanup functions. The practical application results show that the platform can effectively improve the security of remote operations.

Keywords: new energy; loader; remote driving; remote monitoring platform