Issue |
MATEC Web Conf.
Volume 175, 2018
2018 International Forum on Construction, Aviation and Environmental Engineering-Internet of Things (IFCAE-IOT 2018)
|
|
---|---|---|
Article Number | 03066 | |
Number of page(s) | 4 | |
Section | Computer Simulation and Design | |
DOI | https://doi.org/10.1051/matecconf/201817503066 | |
Published online | 02 July 2018 |
Communication methodology between machine tools using MTConnect protocol
Beihang University, School of Mechanical Engineering and Automation, 100083 Beijing, China
*
Corresponding author : zhaog@buaa.edu.cn
Development of smart manufacturing led to a trend of developing autonomous, accessible and cooperative numerical control equipment, which needs a communication subsystem that follows a universal accepted industrial standard. MTConnect has been widely considered as an efficient and sufficient protocol for data collection since its appearance. In this paper, a networked information exchange methodology between computer numerical control systems based on MTConnect technology is proposed, which includes the theoretical architecture of the information exchange module and the implementation of the module based on a CNC systems developed on the TwinCAT platform. A communication system according to the MTConnect protocol for CNC systems was designed, which is able to collect processing data from controllers and transmits those data between controllers by agent and client embedded in the information exchange module. The agent and client which were defined in the protocol were developed through C# language and MTConnect Managed SDK. The proposed methodology was implemented and tested on actual CNC system.
© The Authors, published by EDP Sciences 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/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.