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Proceedings Paper

Application of data fusion to environmental measurement in coalmine
Author(s): Hua Fu; Ming Hua
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Paper Abstract

There are many factors which affect coal production processes and the safety of colliers in coalmines. Among them, there are especially three key factors, the temperature T, the atmospheric pressure P and the gas concentration C that need synthetically to be considered. However, the conventional strategies of environmental measurement only considered the effect of T, P, or C without any systematic, therefore there have been difficulties to make a comprehensive evaluation. Accordingly, the authors present a new method based on a secondary data merging mathematical model which synthetically considers the influences of T, P, and C with an adaptive-weighted data fusion method based on the Dempster-Shafer evidence theory, leading to an optimization of the environmental measurement parameters. This method not only ensures the completeness of the data source but also improves the accuracy of the detection systems for a coal mine. It especially enables a new exploration and research about environment detection processes.

Paper Details

Date Published: 25 October 2006
PDF: 7 pages
Proc. SPIE 6280, Third International Symposium on Precision Mechanical Measurements, 628028 (25 October 2006); doi: 10.1117/12.716339
Show Author Affiliations
Hua Fu, Liaoning Technical Univ. (China)
Ming Hua, Liaoning Technical Univ. (China)


Published in SPIE Proceedings Vol. 6280:
Third International Symposium on Precision Mechanical Measurements
Kuang-Chao Fan; Wei Gao; Xiaofen Yu; Wenhao Huang; Penghao Hu, Editor(s)

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