The invention relates to the technical field of
organic electroluminescence adjustment, and provides a
power equipment abnormity
early warning system for a mobile terminal, which integrates a real-time monitoring module, an early warning identification module and a
data detection module. By monitoring operation data of the
power equipment in real time, combining with a
random forest model to carry out abnormity early warning, sending early warning information to a mobile terminal in real time and receiving
user feedback to optimize an early warning strategy, a
data detection module carries out grouping
processing on the
power equipment based on a time period, so that the
data processing efficiency is improved; the
system achieves the comprehensive monitoring of the operation state of the power equipment, remarkably improves the early warning accuracy, response speed and user interaction experience, effectively guarantees the safe and stable operation of a power
system, promotes the scientific maintenance and management of the power equipment, is suitable for various types of power equipment, and improves the safety and reliability of the power equipment. The method has a wide application prospect and an important practical value, and provides powerful support for intelligent and
safe operation of an
electric power system.