Power transmission and transformation equipment state prediction method and system

Abstract

The present ivnetion relates to a power transmission and transformation equipment state prediction method and system. The method comprises: acquiring observation data of to-be-predicted equipment and constructing a characteristic sequence; acquiring a classification maximizing a probability of each characteristic vector in the characteristic sequence from a preset probability classification model; and according to the characteristic vectors and an optimal predictive coefficient corresponding to a probability classification model class of the classification maximizing the probability of each characteristic vector, performing a calculation to obtain predicted data corresponding to the to-be predicted equipment, and outputting the predicted data. The characteristic sequence is constructed according to the observation data of the to-be-predicted equipment, and the probability classification model class constructed by historical observation data of power transmission and transformation equipment is combined to obtain the corresponding optimal predictive coefficient so as to complete data prediction on the to-be-predicted equipment. According to the power transmission and transformation equipment state prediction method and system provided by the present invention, a characteristic changing trend is fully excavated from the historical data of the equipment, and the optimal predictive coefficient is adopted to predict an equipment state, so that a better prediction effect can be obtained, the method and the system can take a good effect of carrying out state monitoring, early-warning diagnosis and the like on the power transmission and transformation equipment, and reliability is improved.

Description

technical field [0001] The invention relates to the technical field of power grids, in particular to a state prediction method and system for power transmission and transformation equipment. Background technique [0002] Power transmission and transformation equipment is an important part of the power grid, and the availability and stability of power transmission and transformation equipment directly affect the safe operation of the power grid. With the development of the power industry, on the one hand, the scale of the power grid continues to grow, the number of power transmission and transformation equipment has increased sharply, and users' requirements for power supply reliability have continued to increase; Equipment operation data and test data surged. Therefore, during the operation of power transmission and transformation equipment, it is very important to find possible faults in advance and to prevent and eliminate them. [0003] The traditional monitoring method...

AI Technical Summary

Problems solved by technology

Due to the blindness and compulsion of planned maintenance, it is easy to under-maintain equipment that is in poor condition and has potential failures, and over-maintain equipment that is in good condition. Not only can the occurrence of operational failures not be avoided in time, but also the reliability of equipment operation will be reduced. and greater economic loss

The traditional monitoring method of power transmission and transformation equipment has the disadvantage of low reliability

Images