The invention relates to the technical field of power
system monitoring and fault diagnosis. The invention provides an
overhead line drop-out fuse monitoring method,
system and device and a storage medium, and the method comprises the steps: obtaining the temperature data of a drop-out fuse, the current data of a line where the drop-out fuse is located, and the surrounding environment parameter data of the position where the drop-out fuse is located, and obtaining an initial
data set; preprocessing the initial
data set, and extracting key features to obtain a
feature data set; based on the
feature data set, constructing a temperature-current-environment
coupling model, performing multi-dimensional
correlation analysis on the
feature data set, and dynamically calculating a real-time operation
risk index of the drop-out fuse; and if the real-time operation
risk index exceeds a preset threshold value, triggering a grading early warning mechanism, and synchronously generating a diagnosis report containing an abnormal parameter, position information and a
timestamp. The problem that in the prior art, a traditional manual inspection mode is difficult to meet the requirement for monitoring the temperature of the
overhead line drop-out fuse terminal in real time is solved.