The Technology Research In Evaluating Power Equipment Condition Based On Big Data Analysis

The importance of big data in China has risen to the national level."The research and application of big data analysis technology in evaluating the state of power transmission equipment" held in Shandong.The innovation of this topic is the application of big data analysis techniques to state assessment.In this paper,based on this project,the evaluation model of power equipment state based on big data analysis is applied to transport inspection of intelligent analysis and control system.With the rapid development of economic,the number of power equipment will be gradually increased,and the amount of data will increase.It is one of the important problems in the field of power grid state evaluation that is the fast parallel analysis of massive state information of power equipment.In order to improve the accuracy and reliability of the state evaluation of power equipment,the idea and method of applying big data analysis technology in the state evaluation of power equipment are presented.The main contents of this paper are as follows:Firstly,in this paper,the status quo and prospect of state monitoring and state evaluation of electrical equipment at home and abroad are described in detail.The existing problems of state evaluation methods are analyzed,which lays the foundation for the establishment of the next evaluation model.The researching status quo of technology and cloud computing Hadoop platform are introduced in detail.Secondly,the problem that need to be solved in this paper is how to evaluate the power equipment quickly and reliably in a large number of types of state monitoring data.Through the research of large data analysis technology,a certain continuous power equipment state quantity is processed by AR model and SOM neural network model,the continuous uninterrupted data is discretized into the time series in the linear space,and the transition probability of the state quantity based on the time axis is calculated to establish the state evaluation model.Finally,the control system based on the big data analysis technology is designed,and the state evaluation model of power equipment is applied to the system as a general component.This paper introduces in detail to build a big data platform of Hadoop cluster,and the cluster parameters adjusted to achieve optimal performance,the design and development of the control system in the cluster on the basis of the system structure,then introduces the design of database management system,each module of the display interface,and finally to the transformer as an example the state evaluation module,tested and verified the reliability and practicability of the model.The combination of large data analysis techniques and power equipment assessment will be a useful attempt in smart grid construction and improve the requirements for instrumentation parameters.