Research on visible light and infrared vision real‐time detection system for conveyor belt longitudinal tear

Qiao, Tiezhu; Liu, Weili; Pang, Yusong; Yan, Gaowei

doi:10.1049/iet-smt.2015.0297

Cited by 20 publications

(12 citation statements)

References 17 publications

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“…Especially in terms of belt conveyor detection, researchers have published several related methods of belt conveyor detection. For example, in the field of tear detection, Qiao and Liu have been proposed the system based on visible light and infrared vision combination [20]. The system combines infrared and visible light images to detect tearing problems at the same positon of belt.…”

Section: A Traditional Contact Measurement Methodsmentioning

confidence: 99%

A Contactless Measuring Speed System of Belt Conveyor Based on Optical Flow Techniques

et al. 2019

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In mining operation, measuring the speed of a belt conveyor is important for safe and efficient production. The contact measurement system is the mainstream choice for existing measuring speed systems, but the contact method cannot avoid some potential problems and hidden dangers in the running process of belt conveyor. A novel contactless measurement system based on optical flow techniques is designed in this study, which can calculate running speed of belt conveyor in real time. During the operation of belt conveyor, it can be found that most regions of the images are similar when the camera is set to highspeed continuous shooting mode. These similar image regions have a certain displacement change in the moving direction of the belt conveyor due to the time difference of its shooting, and can be described in a simplified way which is the image feature keypoint. The machine vision algorithm extracts image feature keypoints and acquires the optical flow information of image feature keypoints. Motion displacement information including the displacement change can be extracted by analyzing of optical flow information about captured images to calculate the running speed. The contactless measuring speed system is verified by experiments. Experimental results show that the measuring accuracy can be presented by indicators with RMSE of 0.042 m/s and MAE of 0.029 m/s.

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Section: A Traditional Contact Measurement Methodsmentioning

confidence: 99%

A Contactless Measuring Speed System of Belt Conveyor Based on Optical Flow Techniques

et al. 2019

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“…Further, if the damage of the conveyor belt cannot be detected and treated in time, it may eventually cause the occurrence of the conveyor belt tearing accident, which will cause greater harm. The current detection methods for conveyor belt tearing include: weak magnetic test [20], built-in sensor chip method [21], machine vision method [22][23][24][25], line laser-assisted method [26], infrared camera assisted method [27][28][29][30], audio-visual fusion method [31].Among them, most of the research work only focuses on the detection of tearing of conveyor belt, without the detection of other types of damage, which has a certain limitation.…”

Section: Introductionmentioning

confidence: 99%

Application of Lightweight Convolutional Neural Network for Damage Detection of Conveyor Belt

Zhang

Zhou

et al. 2021

Applied Sciences

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Aiming at the problem that mining conveyor belts are easily damaged under severe working conditions, the paper proposed a deep learning-based conveyor belt damage detection method. To further explore the possibility of the application of lightweight CNNs in the detection of conveyor belt damage, the paper deeply integrates the MobileNet and Yolov4 network to achieve the lightweight of Yolov4, and performs a test on the exiting conveyor belt damage dataset containing 3000 images. The test results show that the lightweight network can effectively detect the damage of the conveyor belt, with the fastest test speed 70.26 FPS, and the highest test accuracy 93.22%. Compared with the original Yolov4, the accuracy increased by 3.5% with the speed increased by 188%. By comparing other existing detection methods, the strong generalization ability of the model is verified, which provides technical support and empirical reference for the visual monitoring and intelligent development of belt conveyors.

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“…For these reasons, non-roller conveying became the new research direction for low-resistance belt conveyors [4,5]. Using magnetic force supporting system instead of rollers to levitate belt and materials, which reduced mechanical wear and resistance, magnetic-cushion belt conveyor has become another non-roller low-resistance belt conveyor besides air and water-cushion belt conveyors [6,7]. In recent years, researchers have used advanced measurement methods to test the magnetic field strength and suspension force of the magnetic levitation belt conveyor.…”

Section: Introductionmentioning

confidence: 99%

Analysis and experimental research on air gap characteristics of permanent magnet low‐resistance belt conveyor

Wang

2018

IET Science, Measurement & Technology

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Research on visible light and infrared vision real‐time detection system for conveyor belt longitudinal tear

Cited by 20 publications

References 17 publications

A Contactless Measuring Speed System of Belt Conveyor Based on Optical Flow Techniques

A Contactless Measuring Speed System of Belt Conveyor Based on Optical Flow Techniques

Application of Lightweight Convolutional Neural Network for Damage Detection of Conveyor Belt

Analysis and experimental research on air gap characteristics of permanent magnet low‐resistance belt conveyor

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