Development of a remote monitoring platform for a new energy construction machinery
LU Yueqi
JI Shaobo
CHE Renhai
HOU Defeng
ZHAO Jiayang
XU Haozhi
AN Meng
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 energyloaderremote drivingremote monitoring platform
Publication Date：2026-02-28
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：6( 21-26 )