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### Proceedings Paper

Coal mud contact surface indirect survey technology
Author(s): Guijun Gao; Ziming Kou
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Paper Abstract

The concentration pond is used in the most coal washing plants for treating coal washing water. We must know the coal mud contact surface in the use of concentration pond so that we can prevent presses the rake accident appears and that simultaneously know how to operate next step for worker. Formerly we survey coal mud contact surface depended on the man-power. People with one thin wooden stick insertion concentration pond in and after mentioned remains with the naked eye observation to the thin wooden stick coal mud trace and to estimate the deep of coal mud contact surface. Like this there are some questions of existence lag and accurate bad. So I propose one kind of coal mud contact surface indirect survey technology. First, I survey the different depth coal washing water density using density meter and I get a coal washing water density gradient. Then, according to the gradient I can establishment the coal washing water density mathematical model. Because coal washing water density is changed with different seasons, so I get different coal washing water density mathematical model. Finally, I fix the density meter to one depth place to get the water density and then put the density in the mathematical model to calculate the contact surface depth value. All the mathematical computation depends upon LABWIEV software at the same time can realized coal mud contact surface depth value digital display.

Paper Details

Date Published: 24 October 2006
PDF: 4 pages
Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 63571U (24 October 2006); doi: 10.1117/12.716983
Show Author Affiliations
Guijun Gao, Taiyuan Univ. of Science and Technology (China)
Ziming Kou, Taiyuan Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 6357:
Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence
Jiancheng Fang; Zhongyu Wang, Editor(s)