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