The invention relates to a multi-mode
belt conveyor driving fault intelligent diagnosis and
early warning system and method, and belongs to the technical field of
belt conveyor driving
system fault diagnosis. The
system comprises a substation acquisition unit, a field sensing unit, an industrial audio acquisition unit, an industrial
server and a
system client. Multi-mode signals such as current,
voltage, vibration, temperature and audio of key components in the driving system are collected and transmitted to an industrial
server through an
industrial Ethernet for multi-mode
signal noise reduction
processing, a fusion matrix is constructed, a dynamic threshold value is corrected in real
time based on the load rate and the environment temperature, local
decision making is carried out, and the dynamic threshold value is corrected in real time. And the D-S evidence theory is adopted to realize accurate
traceability of the fault component. The method has the advantages of strong anti-interference capability, dynamic self-adaption of the threshold value, high decision
interpretability, high response speed and the like, can effectively realize real-time monitoring and intelligent pre-diagnosis alarm of the driving fault of the
belt conveyor, remarkably improves the early warning accuracy and efficiency, and reduces the maintenance cost.