Performance Analysis of Natural γ-Ray Coal Seam Thickness Sensor and Its Application in Automatic Adjustment of Shearer’s Arms
Joint Authors
Wang, Zengcai
Yang, Zengfu
Yan, Ming
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-25
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
The technology of coal-rock interface recognition is the core of realizing the automatic heightening technology of shearer’s rocker.
Only by accurately and quickly identifying the interface of coal and rock can we realize the fully automatic control of shearer.
As the only one used in the actual detection of coal mining machine drum cutting coal seam after the thickness of the remaining coal seam detection method, natural γ-ray has a very practical advantage.
Based on the relationship between the attenuation of the natural γ-ray passing through the coal seam and the thickness of the coal seam, the mathematical model of the attenuation of the natural γ-ray penetrating coal seam is established.
By comparing the attenuation intensity of γ-ray with or without brackets, it is verified that the hydraulic girders will absorb some natural γ-rays.
Finally, this paper uses the ground simulation experiment and the field experiment to verify the correctness of the mathematical model and finally develop the natural γ-ray seam thickness sensor.
The sensor has the function of indicating the thickness of the coal seam, measuring the natural γ-ray intensity, and storing and processing the data.
American Psychological Association (APA)
Yang, Zengfu& Wang, Zengcai& Yan, Ming. 2020. Performance Analysis of Natural γ-Ray Coal Seam Thickness Sensor and Its Application in Automatic Adjustment of Shearer’s Arms. Journal of Electrical and Computer Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1183937
Modern Language Association (MLA)
Yang, Zengfu…[et al.]. Performance Analysis of Natural γ-Ray Coal Seam Thickness Sensor and Its Application in Automatic Adjustment of Shearer’s Arms. Journal of Electrical and Computer Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1183937
American Medical Association (AMA)
Yang, Zengfu& Wang, Zengcai& Yan, Ming. Performance Analysis of Natural γ-Ray Coal Seam Thickness Sensor and Its Application in Automatic Adjustment of Shearer’s Arms. Journal of Electrical and Computer Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1183937
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1183937