The invention relates to the technical field of electrical early warning, in particular to an
Internet of Things fire-fighting electrical early warning method and
system, and the method comprises the following steps: collecting
voltage, current and temperature data through a sensor, carrying out the data initialization and
data quality evaluation, confirming the
data continuity and integrity, analyzing the
data reliability, and generating an initial performance
evaluation result. According to the invention, through real-time analysis of the electrical data and dynamic adjustment of the early warning threshold, the sensitivity and response speed of the
early warning system are improved, electrical faults and potential fire risks possibly caused by
slow response are significantly reduced, abnormal data and normal data can be effectively distinguished, the accuracy of
anomaly detection is improved, and the method is suitable for popularization and application. After electrical and
environmental monitoring data are integrated, through multi-level
feature extraction, the method adapts to environmental changes, can early warn potential fire risks, optimizes the overall safety of an electrical
system, significantly reduces property loss, improves personal safety, continuously optimizes an early warning
algorithm, and further improves early warning accuracy and efficiency.