Research on fault detection algorithm of rollers of coal conveyer belts

doi:10.16265/j.cnki.issn1003-3033.2023.S2.0002

Abstract

Abstract:

The fault detection of rollers of coal conveyor belts currently relies on manual inspection, which lacks clear standards and has low efficiency. Data statistical analysis, artificial intelligence localization algorithms, and image matching technology were used to investigate the fault detection of rollers of coal conveyor belts. Through statistical analysis of roller abnormalities, it was found that shaking was the primary form of roller abnormality, resulting in a certain angular deviation between the roller and the fixed frame and thus affecting operational safety. Therefore, a detection algorithm for roller position deviation was proposed. The rotary object detection based on the YOLOv7 model was used to detect the position and angle of the rollers. Historical images were collected and matched with captured images in real time to compare the roller loss status and deviation angles and identify visual anomalies of the rollers. The results show that the roller detection accuracy is 99.7%. Under low-light shooting conditions, the detection rate of roller loss faults is 99.8%, and the detection rate of faults where the roller angle changes by more than 5° is 94.5%.

Key words: coal conveyor, roller fault, rotary object detection, image matching, line-scan camera

CLC Number:

X936

JIRI Gele, LIU Yao, SHANG Shuhong. Research on fault detection algorithm of rollers of coal conveyer belts[J]. China Safety Science Journal, 2023, 33(S2): 195-201.

Figures/Tables 17

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References 20

[1]	金学智. 基于红外图像的带式输送机故障预警方法研究[D]. 银川: 宁夏大学, 2021.
	JIN Xuezhi. Research on fault warning method of belt conveyor based on infrared image[D]. Yinchuan: Ningxia University, 2021.
[2]	闫军伟. 带式输送机故障分析及监控系统的应用[J]. 矿业装备, 2022(4):244-246.
	YAN Junwei. Application of belt conveyor fault analysis and monitoring system[J]. Mining Equipment, 2022(4):244-246.
[3]	吴文臻, 程继明, 李标. 矿用带式输送机托辊音频故障诊断方法[J]. 工矿自动化, 2022, 48(9): 25-32.
	WU Wenzhen, CHENG Jiming, LI Biao. Audio fault diagnosis method of mine belt conveyor roller[J]. Journal of Mine Automation, 2022, 48(9): 25-32.
[4]	任富军. 关于TD75型带式输送机托辊轴承故障特性分析[J]. 机械管理开发, 2022, 37(9): 145-147.
	REN Fujun. Analysis on the failure characteristics of TD75 type belt conveyor roller bearings[J]. Mechanical Management Development, 2022, 37(9):145-147.
[5]	胡金良. 基于带式输送机的智能巡检研究[J]. 中国安全科学学报, 2023, 33(增1): 85-90.
	HU Jinliang. Intelligent inspection research based on belt conveyor[J]. China Safety Science Journal, 2023, 33(S1): 85-90. doi: 10.16265/j.cnki.issn1003-3033.2023.S1.5001
[6]	赖东明, 孔令华, 练国富, 等. 双线阵相机的线扫描差动共聚焦检测方法[J]. 应用光学, 2022, 43(2): 298-303. doi: 10.5768/JAO202243.0203004
	LAI Dongming, KONG Linghua, LIAN Guofu, et al. Differential confocal measurement method of linear scanning based on dual linear array camera[J]. Journal of Applied Optics, 2022, 43(2): 298-303. doi: 10.5768/JAO202243.0203004
[7]	LONG Yingkai, DU Mingming, LUO Xiaoxiao, et al. Improved VMD-+ACO algorithm navigation and positioning technology for robot electric power inspection[J]. International Transactions on Electrical Energy Systems, 2022(2):1-6.
[8]	闫哲, 蒋砾, 杨帆, 等. 基于双直方图均衡算法的红外图像增强[J]. 红外技术, 2022, 44(9): 944-950.
	YAN Zhe, JIANG Li, YANG Fan, et al. Bi-histogram equalization algorithm for infrared image enhancement[J]. Infrared Technology, 2022, 44(9): 944-950.
[9]	MU Weiwen, LIU Huixiang, CHEN Wenbai, et al. A more effective Zero-DCE variant: Zero-DCE tiny[J]. Electronics, 2022, 11(17):DOI:10.3390/ELECTRONICS11172750.
[10]	王童, 王宏伟, 王红. 基于旋转目标检测的飞机蒙皮损伤检测研究[J]. 激光与光电子学进展, 2022, 60(10): 250-258.
	WANG Tong, WANG Hongwei, WANG hong. Aircraft skin damage detection based on roration object detection[J]. Laser & Optoelectronics Progress, 2022, 60(10):250-258.
[11]	李华, 吴立舟, 薛曦澄, 等. 基于计算机视觉的高处临边作业安全巡检[J]. 中国安全科学学报, 2023, 33(9): 69-75. doi: 10.16265/j.cnki.issn1003-3033.2023.09.0202
	LI Hua, WU Lizhou, XUE Xicheng, et al. Computer vision based safety inspection of high abutting edges[J]. China Safety Science Journal, 2023, 33(9): 69-75. doi: 10.16265/j.cnki.issn1003-3033.2023.09.0202
[12]	HUSSAIN M, ALAQRABI H, MUNAWAR M, et al. Domain feature mapping with YOLOv7 for automated edge-based pallet racking inspections[J]. Sensors, 2022, 22(18):DOI: 10.3390/S22186927.
[13]	张航宇, 张锐, 廖方圆, 等. 基于交叉熵的1位DAC大规模MIMO预编码方案[J]. 西安电子科技大学学报, 2022, 49(6): 1-8.
	ZHANG Hangyu, ZHANG Rui, LIAO Fangyuan, et al. Precoding scheme for massive MIMO with one-bit DACs based on cross entropy[J]. Journal of Xidian University, 2022, 49(6): 1-8.
[14]	PENG Zhen, TIAN Shengwei, YU Long, et al. Semi-supervised medical image classification with adaptive threshold pseudo-labeling and unreliable sample contrastive loss[J]. Biomedical Signal Processing and Control, 2023, 79(2):DOI:10.1016/J.BSPC.2022.104142.
[15]	雷洁, 饶文碧, 杨焱超. 基于分类不确定性的伪标签目标检测算法[J]. 计算机工程, 2022, 49(1): 49-56.
	LEI Jie, RAO Wenbi, YANG Yanchao. Pseudo-label object detection algorithm based on classification uncertainty[J]. Computer Engineering, 2022, 49(1): 49-56. doi: 10.1063/1.31640
[16]	GAETANO M, EVANGELOS F, MICHELE A, et al. The effect of percussive massage or loaded cycling warmup on wingate anaerobic power test performance[J]. Medicine & Science in Sports & Exercise, 2022, 54(2):17-18.
[17]	HAN Fei, DU Wenhua, WANG Zhijian, et al. A novel dense residual network based on Adam-S optimizer for fault diagnosis of bearings under different working conditions[J]. Measurement Science and Technology, 2022, 33(12):DOI:10.1088/1361-6501/AC8DAD.
[18]	BRITTANY K, STEVEN M. Regionalization with self-organizing maps for sharing higher resolution protected health information[J]. Annals of the American Association of Geographers, 2022, 112(7):1866-1 889.
[19]	MARTIN W J, DIPANKAR B, MICHAEL C A. Precision silicon exfoliation tool design[J]. Journal of Manufactring Science and Engineering, 2023, 145(2):DOI:10.1115/1.4055320.
[20]	刘赛可, 何晓群, 夏利宇. 不平衡数据下模型评价指标的有效性探讨[J]. 统计与决策, 2022(19): 5-9.
	LIU Saike, HE Xiaoqun, XIA Liyu. Study on the validity of model evaluation index under imbalanced data[J]. Statistics & Decision, 2022(19): 5-9.