The invention discloses an intelligent monitoring method and
system for the microenvironment of a power distribution cabinet, and the method comprises the steps: collecting the multi-parameter data of the microenvironment of the power distribution cabinet in real time through a plurality of sensors disposed in the power distribution cabinet, and enabling the multi-parameter data to at least comprise temperature,
humidity,
voltage and current; transmitting the multi-parameter data to a
processing platform through an
internet of things network; on the
processing platform, performing data fusion
processing on the multi-parameter data to obtain comprehensive environment parameters; based on the comprehensive environmental parameters, performing environmental state evaluation by using a
fuzzy logic algorithm, and outputting a
security level; based on the
time sequence data of the comprehensive environmental parameters, using a
time sequence prediction model to carry out fault prediction, and outputting a parameter change trend; and performing
anomaly detection based on at least one of the comprehensive environmental parameters, the
security level and the parameter change trend, and sending out an
alarm signal when an anomaly is detected. The invention aims to realize real-time accurate monitoring of the microenvironment of the power distribution cabinet, early warn various potential risks in time, avoid the situations of terminal strip
corrosion, poor contact of a secondary line,
short circuit,
lightning breakdown,
false alarm of a
switching signal, false operation of a primary switch and the like caused by the microenvironment problem, improve the power supply reliability and guarantee the safety of a
power grid.