| Issue |
MATEC Web Conf.
Volume 63, 2016
2016 International Conference on Mechatronics, Manufacturing and Materials Engineering (MMME 2016)
|
|
|---|---|---|
| Article Number | 01041 | |
| Number of page(s) | 4 | |
| Section | Mechatronic and Application Engineering | |
| DOI | https://doi.org/10.1051/matecconf/20166301041 | |
| Published online | 12 July 2016 | |
Design of Electric Power Management System in Jilin Province based on SOA
College of Instrumentation & Electrical Engineering, Jilin University, 130061 Changchun, Jilin China
a Corresponding author: iamwangyongzhi@126.com
Aiming at the problem of electric power data integration and sharing in Jilin Province, China, this paper proposed a method based on SOA which has high scalability, flexibility in strong power data and application integration. This approach establishes a web service-oriented system architecture, using SQL Server 2012 as its backend database and using C# as the programming language. And this approach has developed three kinds of terminal applications namely C/S(Client/Server), B/S(Browser /Server) and M/S(Mobile/Server). Client applications send all kinds of request to the electric power cloud computing centre, meanwhile web service components receive the requests and call corresponding functions to compute, and then return the results to the original app through the internet. The results show that system achieved the target we expected and successfully realized electric power information data integration, release and sharing.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.