The invention relates to the technical field of remote monitoring, in particular to a commercial
display cabinet remote intelligent operation and
maintenance management system based on
big data, which comprises an edge waveform acquisition module, a starting energy resolving module, a same-pressure working condition clustering module, a group baseline generation module and a wear
outlier judgment module. According to the invention, through constructing an edge
feature extraction and cloud
voltage coupling clustering cooperative
processing flow, a dynamic
voltage impedance relative
evaluation system is constructed by using wide-area
big data, starting energy required for overcoming
static friction force and
rotor inertia is quantized, and group baselines of similar display cabinets under similar
voltage working conditions are combined, so that the relative evaluation of the dynamic voltage impedance is realized. The starting energy of the target
display cabinet is transversely compared with the
group level, accurate relative quantification and early warning are carried out on abrasion of mechanical parts in the compressor under the condition that the influence of
power grid quality difference is eliminated, the fault diagnosis accuracy of the
display cabinet in a voltage unstable area is improved, false overload alarm caused by
low voltage is avoided, and the working efficiency is improved. And passive maintenance is converted into
predictive maintenance.