Mining ventilation automation: Wireless sensing, communication architecture and advanced services

Author

Fischione ; Pomante, L. ; Rinaldi, C. ; Santucci, F. ; Tennina, S.

Author_Institution

Univ. of California at Berkeley, Berkeley, CA

fYear

2008

fDate

23-26 Aug. 2008

Firstpage

851

Lastpage

857

Abstract

This paper reports on the definition of technical challenges for the sensing and communication networks of a mining ventilation automation project. Specifically, complex network architectures offering high performance are investigated. The aim is to support distributed estimation, and to propose an enhanced architecture for advanced services in the mining context, namely positioning and audio/video communications. Then, analytical models are developed to ldquoexposerdquo network performance to the control application, and a service platform is suggested to encapsulate all essential services that the network should provide to the distributed control application. Specific results are provided for the positioning service.

Keywords

control engineering computing; distributed control; large-scale systems; mining industry; communication architecture; distributed control application; distributed estimation; mining ventilation automation; wireless sensing; Analytical models; Automatic control; Automation; Communication networks; Complex networks; Context; Context-aware services; Ventilation; Wireless communication; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation Science and Engineering, 2008. CASE 2008. IEEE International Conference on

Conference_Location

Arlington, VA

Print_ISBN

978-1-4244-2022-3

Electronic_ISBN

978-1-4244-2023-0

Type

conf

DOI

10.1109/COASE.2008.4626510

Filename

4626510