Heterogeneous database integration method of electric power enterprise based on XML

Shuhui Li; Botao Wu; Jiayi Lang; Lin Cheng; Wenjian Yao

doi:10.1117/12.2667278

22 February 2023 Heterogeneous database integration method of electric power enterprise based on XML

Shuhui Li, Botao Wu, Jiayi Lang, Lin Cheng, Wenjian Yao

Proceedings Volume 12587, Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022); 125870G (2023) https://doi.org/10.1117/12.2667278
Event: Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022), 2022, Shanghai, China

Abstract

Since the conventional integration methods cannot distinguish the useful data when there is much heterogeneous data with the same semantic, the data integration time is long and the utilization rate of power resources is low. Based on this, an XML-based heterogeneous database integration method for electric power enterprises is designed. Firstly, the same semantic objects of heterogeneous databases are identified to reflect the integration conflicts of the same semantics of heterogeneous data in power enterprises, and then the integration framework of heterogeneous data exchange in power enterprises is constructed by using XML, and finally the similarity value of numerical attribute data in power enterprises is refined. Thus, the efficient integration of heterogeneous databases in power enterprise is realized. The experimental results show that the proposed method has a relatively high utilization rate of heterogeneous data resources in power enterprises, all above 98%, and its integration time is short, less than 4s, which is better than the comparison method. The proposed method can help power enterprises to quickly manage complex business data and improve their automation and informatization levels.

Citation Download Citation

Shuhui Li, Botao Wu, Jiayi Lang, Lin Cheng, and Wenjian Yao "Heterogeneous database integration method of electric power enterprise based on XML", Proc. SPIE 12587, Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022), 125870G (22 February 2023); https://doi.org/10.1117/12.2667278

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available