The invention discloses a main
transformer oil temperature abnormity real-time monitoring and
statistical analysis method,
system, equipment and medium, and belongs to the technical field of
power equipment state monitoring and fault diagnosis, and the method comprises the steps: collecting temperature data and voiceprint data, carrying out the preprocessing, splicing the data into a combined
oil temperature value with voiceprint, calculating the
historical distribution of the current temperature, and carrying out the
statistical analysis of the current temperature; outputting a dynamic threshold median, calculating a residual error duration, judging whether an
oil temperature abnormal mark is triggered or not, when the oil temperature abnormal mark is triggered and an aging index is obtained, generating a
root cause event list, performing efficiency evaluation and cooler regulation and control based on the
root cause event list, outputting a regulation and control instruction and a current comprehensive energy efficiency ratio, and performing
power regulation and control through a power dispatching data network. And requesting to obtain comprehensive efficiency ratios and oil temperature data of other main transformers in the same partition, generating a regional efficiency thermodynamic table, and carrying out oil temperature anomaly statistics. According to the invention, a closed-loop intelligent
monitoring system from accurate sensing to co-
processing is constructed, and the initiative and accuracy of main
transformer oil temperature abnormity management and the overall safety of a
power grid are improved.