Design of automatic generation system of equipment protection common sense pocket book content based on power big data

Abstract

In order to improve the power system and process, strengthen personnel training and guidance, this paper proposes a new automatic generation system of equipment protection knowledge pocket book content based on power big data. Firstly, the architecture of each level of the system is designed. Secondly, according to the architecture design results, the main hardware and software of the system are designed. The hardware mainly includes pocket book content naming module, user management module and pocket book content automatic generation module. In the software part, K-mean clustering algorithm is used to cluster the power big data, and the main content of equipment protection knowledge in power big data is extracted. The above hardware and software are combined to complete the design of automatic generation system for the contents of power equipment protection pocket book. The experimental results show that the performance of the system is greatly improved.

Design of User Portrait Analysis System Based on E-Commerce Big Data

“…This paper also builds a gender model based on users' browsing and purchasing behavior. Because of the different needs of men and women, boys often like to search electronic products, men's wear, men's shoes, razors, belts and other commodities on e-commerce websites; Girls usually search for products such as skin care products, high heels and women's clothing [9] . According to the user's search records and click records, this paper uses the improved naive Bayesian classification algorithm based on the improved EM algorithm to predict the user's gender.…”