Network Monitoring System in Sustainable Manufacturing Envirnment Based on .NET and Ethernet/SDARP

Article Preview

Abstract:

For the trend of aging population in China is increasingly serious and all kinds of advanced robots for senior and disable people aid emerged, the concept of intelligent network monitoring was considered. Monitoring system with video linkage monitoring, personnel physiological parameter measurement, real-time positioning and robotic status monitoring was designed for nursing house. Ethernet/SDARP (Ethernet /the Senior and Disable people Aid Robot Protocol) was firstly introduced into the network to ensure communication reliability and real-time performance. Integrated software of monitoring system with good compatibility, high efficiency and data security was developed using C#.NET and SQL Server. The integration of communication module was mainly introduced. Finally, the intelligent network monitoring system was practically used in Sijiqing Nursing House and has greatly improved the quality of medical and nursing service.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

194-198

Citation:

Online since:

July 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Deng Z. d, Cheng Z. b (2009) Research on robotics industry and technology development status of senior and disabled people aid in China Robot Technique and Application 1(4): 112-114.

Google Scholar

[2] Zhang X. z, Shi C. h, Li R. x, (2009) Study and development of medical robot China Medical Equipment 3(6): 37-39.

Google Scholar

[3] Giancarlo Ferrigno, Guido Baroni, Federico Casolo (2011). Medical robotics IEEE Pulse, 4(4): 55-61.

Google Scholar

[4] Gaia Vince (2009) Clare Wilson. The rise of the miniature medical robots. New Scientist 5(6): 1219-1223.

Google Scholar

[5] Gurvinder S. Virk (2011) the emergence of personal care and medical robots. Industrial Robot: An International Journal 6(8): 566-577.

Google Scholar