The invention belongs to the technical field of
intelligent control, and particularly relates to an intelligent regulation and control method for an
operating environment in an SF6 ring main unit. The method comprises the following steps: firstly, acquiring temperature,
gas pressure and
humidity data of a plurality of sampling points in the ring main unit, and constructing a
time sequence environment
data set through
time synchronization and missing interpolation
processing; analyzing the temperature data, extracting fluctuation characteristics, determining an environment disturbance factor in combination with an
electric arc trigger intensity index, and obtaining a cabinet body
temperature control safety factor in combination with a dynamically adjusted temperature rise threshold and a
gas insulation state; then constructing an environment equivalent
thermal inertia model and a hot-pressure covariant model based on historical data, and calculating a
thermal stability index of the cabinet body; and finally, whether adjustment is triggered or not is judged according to the
thermal stability index and the
temperature control safety factor, if yes, a temperature abnormal area is positioned through a
convolutional neural network and a clustering method, the
temperature control response level is calculated, a temperature control strategy
library is called to be matched with adjustment parameters, and accurate control is achieved.