Research on integrated monitoring and early warning platform for safe high speed railway operation

Xuemei Xiao; Yanhui Wang; Limin Jia

doi:10.1117/12.945966

1 June 2012 Research on integrated monitoring and early warning platform for safe high speed railway operation

Xuemei Xiao, Yanhui Wang, Limin Jia

Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 833403 (2012) https://doi.org/10.1117/12.945966
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia

Abstract

With the characteristics of high speed, heavy density and strong dependence on control equipment, safe high-speed railway operation are affected by various factors whose interaction relationships resulted in the complexity and high risks of high-speed railway. To adopt 'basic theory, key technology and simulation experiment' method, based on the "proactive safety" concept, a visual, intelligent and integrated monitoring and early-warning platform for safe high-speed railway operation was proposed in this paper, and was described from objectives, architecture and functions, to achieve comprehensive monitoring, safety warning, decision support and information transfer and sharing in the whole operation.

Citation Download Citation

Xuemei Xiao, Yanhui Wang, and Limin Jia "Research on integrated monitoring and early warning platform for safe high speed railway operation", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 833403 (1 June 2012); https://doi.org/10.1117/12.945966

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