Coal flow volume detection method for conveyor belt based on TOF vision

被引：4
作者：
Hou, Chengcheng [1 ,2 ]
Qiao, Tiezhu [1 ,2 ]
Dong, Huijie [2 ]
Wu, Hongwang [3 ]
机构：
[1] Taiyuan Univ Technol, Coll Elect Informat & Opt Engn, Taiyuan 030024, Peoples R China
[2] Taiyuan Univ Technol, Key Lab Adv Transducers & Intelligent Control Syst, Minist Educ, Taiyuan 030024, Peoples R China
[3] Shanxi Xinyuan Coal Co Ltd, Jinzhong 030600, Peoples R China
来源：
MEASUREMENT | 2024年 / 229卷
关键词：
Conveyor belt; Coal flow volume; TOF vision; Improved FMM; Surface fitting;
D O I：
10.1016/j.measurement.2024.114468
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Coal flow volume is the essential basic data support for intelligent speed regulation and energy-saving control of coal mine transportation systems. To accurately measure the coal flow volume of conveyor belts, an innovative coal flow volume detection method for conveyor belts based on TOF vision was proposed in the paper. Both depth and grayscale images of the coal flow were collected by a TOF camera. Then an improved fast marching method based on the grayscale image was used to achieve depth image restoration. The coal flow volume of conveyor belts could be calculated by using the surface fitting method. Experimental results demonstrate that the coal flow detection accuracy of the proposed method can reach 97.35%, and the single-frame image processing time is less than 70.72ms. The proposed method is verified to meet the accuracy and real -time requirements of coal mines.
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页数：8
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