Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)

Intelligent platform design of electricity charge recovery business system based on business collaboration

Authors
Heng Yue1, *, Cunsheng Xin1, peng OuYang1
1State Grid Huitongjincai (Beijing) Information Technology Co., Ltd, Beijing, 100053, China
*Corresponding author. Email: ouyangpeng456@163.com
Corresponding Author
Heng Yue
Available Online 28 September 2023.
DOI
10.2991/978-94-6463-264-4_40How to use a DOI?
Keywords
electricity charge recovery; Business system; Power supply company; Web development
Abstract

In order to meet the actual business process and customer demand of electricity charge recovery management, this paper designs and develops a electricity charge recovery management system based on J 2 EE. It adopts the latest information management concept in the software development process, and introduces the software development technology MVC mode into the functional module development and design of the system. The development language of the system software adopts Java, the development tool adopts Eclipse, and adopts SpringMVC lightweight development framework to complete the coding design of the system functional modules. According to the specific characteristics of each functional module, the business logic interface of the functional module is determined, and the various business operation interfaces are called to complete the functional operation according to the requirements of the user page. Put the data display part into the view module, and the background database is also called through the control module. The modules can access and operate through specific interface examples, which greatly reduces the coupling between the modules and improves the maintenance efficiency of the system functions. Finally, the system function is tested through the QTP tool, and the JMeter tool is used to test the load performance of the system. The final test results show that the system can better meet the management needs of local power supply companies, realize the sharing of system data, reduce the management cost of the company, and effectively improve the electricity recovery management efficiency and service quality of local power supply companies.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
28 September 2023
ISBN
10.2991/978-94-6463-264-4_40
ISSN
2589-4900
DOI
10.2991/978-94-6463-264-4_40How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Heng Yue
AU  - Cunsheng Xin
AU  - peng OuYang
PY  - 2023
DA  - 2023/09/28
TI  - Intelligent platform design of electricity charge recovery business system based on business collaboration
BT  - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
PB  - Atlantis Press
SP  - 364
EP  - 370
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-264-4_40
DO  - 10.2991/978-94-6463-264-4_40
ID  - Yue2023
ER  -