The invention discloses a power
system insulator monitoring and evaluating
system based on
big data. The power
system insulator monitoring and evaluating system comprises a defect detection module, abearing force capacity
simulation analysis module, an environmental parameter acquisition module, an additional bearing detection module, an elastic additional analysis module, a model evolution module, a crack correction module and a management evaluation module. According to the power system insulator monitoring and evaluating system based on
big data of the invention, sudden change deformationcoefficients corresponding to temperature,
wind speed and accumulated
snow are analyzed through the temperature change and
wind speed in the environment and the pressure of accumulated
snow on an insulator; the management and evaluation module is used for predicting and analyzing the residual
life evaluation duration of the insulator through the self
bending moment of the insulator, the temperature, the
wind speed and the sudden change deformation coefficient corresponding to the accumulated
snow, and the variation of crack parameters of the insulator in two interval time periods; so that theresidual
life evaluation duration of the insulator can be accurately utilized, the service life of the insulator can be fully utilized, the replacement frequency is reduced, the labor amount of personnel for replacing the insulator is reduced, and the continuous, stable and safe duration of a power system is ensured.