The invention discloses a
power equipment early warning
monitoring system and method, and relates to the technical field of
power equipment monitoring, and the method comprises the steps: collecting the index data of target
power equipment, and carrying out the preprocessing of the index data, and obtaining multi-dimensional electrical characteristic parameters; performing
digital conversion on the non-electrical characteristics of the power equipment, and constructing an
electrical pattern portrait representing the power utilization state of the equipment in combination with the multi-dimensional electrical characteristic parameters;
machine identification is carried out on the electric pattern portrait based on a trained AI model, dynamic load identification and power real-time
decomposition are realized, and
power consumption behaviors are mined; based on equipment historical data, real-time working conditions and environmental parameters, a safety threshold value is dynamically adjusted,
monitoring data and the safety threshold value are compared in real time, and an alarm is triggered according to the standard exceeding condition; the method has the advantages of strong anti-interference capability, dynamic threshold adjustment and accurate behavior identification.