本发明公开了一种工业机器人多通道监测数据压缩方法及系统，根据工业机器人各通道监测数据之间的关联特性，通过互相关函数融合算法将仅含机器人局部状态信息的多通道数据融合为一具有其全局信息的综合信号，显著减少各通道传感器数据之间的信号冗余，提高信号质量。通过复合混沌矩阵对综合信号进行加密压缩并通过网络传输到远程维护中心，在远程维护中心利用密钥结合正交匹配追踪算法恢复出原始信号，实现信号的安全与高效传输。本发明能够提高信号传输的效率与安全性，解决工业机器人多通道实时监测产生大量冗余海量振动数据无法安全高效传输到远程维护中心的问题，同时为工业机器人故障诊断与健康评估提供了数据基础。

The invention discloses a method and system for compressing multi-channel monitoring data of an industrial robot. According to the correlation characteristics between the monitoring data of each channel of the industrial robot, the multi-channel data containing only the local state information of the robot is fused into one through a cross-correlation function fusion algorithm. The integrated signal with its global information significantly reduces the signal redundancy between the sensor data of each channel and improves the signal quality. The composite signal is encrypted and compressed by the composite chaotic matrix and transmitted to the remote maintenance center through the network. The invention can improve the efficiency and safety of signal transmission, solve the problem that a large number of redundant and massive vibration data generated by multi-channel real-time monitoring of industrial robots cannot be safely and efficiently transmitted to a remote maintenance center, and at the same time provide a data basis for fault diagnosis and health assessment of industrial robots .