Design and research of distributed power transaction information management system based on data mining

Rui Fan; Huiying Jing

doi:10.1117/12.2661204

16 December 2022 Design and research of distributed power transaction information management system based on data mining

Rui Fan, Huiying Jing

Author Affiliations +

Proceedings Volume 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022); 1250057 (2022) https://doi.org/10.1117/12.2661204
Event: 5th International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 2022, Chongqing, China

Abstract

To solve the problem that the operation quality and efficiency of the traditional power transaction information management system are too low to provide technical support for the operation of the power transaction market business, this paper designs a distributed power transaction information management system based on the traditional information management system and data mining technology. The hardware of the information management system adopts B/S architecture, which can provide good hardware operating environment for the management of massive power transaction information. In the design of system software, the data mining technology is used to calculate the trust degree of power transaction information and rank the information trust degree. Combined with the E-R information entity relationship logic structure, the system information database is designed, and the ranking results of information trust degree are input into the database to improve the security of information storage and the efficiency of management. Test analysis shows that the new system function modules are running in good condition, in line with the expected design results. In the trend of an increasing number of concurrent visits, the recall ratio of system information data is more than 95%, with high feasibility.

Citation Download Citation

Rui Fan and Huiying Jing "Design and research of distributed power transaction information management system based on data mining", Proc. SPIE 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 1250057 (16 December 2022); https://doi.org/10.1117/12.2661204

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Data storage

Data mining

Databases

Analytical research

Information security

Lithium

Logic

Show All Keywords

Keywords/Phrases

Search In:

Publication Years