Research On Data Structure And Conversion Method Of Full Pathname Of Equipment Based On Linear Neural Network

The full pathname of equipment is a naming standard of power grid equipment,which contains all kinds of information about the equipment and its application,and is one of the important information sources for power system dispatching.However,based on different standards,the format of full pathname of equipment generated by the same equipment is not the same.Before the local dispatching organization uses the full pathname of the external power grid equipment,it needs to be converted to the local standard.However,with the gradual increase of power grid equipment,this work is becoming more and more complicated.This paper puts forward a data structure and conversion method of full pathname of power grid equipment based on linear neural network,according to the advantages of artificial neural network,such as self-learning,associative storage and high-speed searching for optimal solution.The main work of this paper includes the following parts.Firstly,different data codes are used to digitize the full pathname of power grid equipment,and the power term dictionary and improved KMP algorithm are used to structure the full pathname of power grid equipment,so that it can be transformed into structured data which is easy to analyze and process.Secondly,a linear neural network model is constructed to transform the structured full pathnames of power grid equipment.At the same time,the bad data processing method based on cosine similarity and the data normalization method based on min-max standardization are proposed.The training method and program implementation of neural network are designed.Finally,the empirical analysis is carried out by using the actual data to prove the effectiveness of the research method.The data structure and conversion method of full pathname of power grid equipment based on linear neural network studied in this paper can automatically convert the full pathname of power grid equipment based on different standards in practical application,which solves the problem of name conversion relying on manpower,and improves the work efficiency.