Dual band infrared detection method based on mid-infrared and long infrared vision for conveyor belts longitudinal tear

Yu, Binchao; Qiao, Tiezhu; Zhang, Haitao; Yan, Gaowei

doi:10.1016/j.measurement.2018.02.029

Cited by 35 publications

(29 citation statements)

References 22 publications

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“…The equations (13) and (14) standard deviations can be expressed as equations (17) and 18: (18) It can be known from equations (17) and (18), when z1 ) is used to solve the roll angle. When…”

Section: B Infrared Attitude Angle Direct Solution Methodsmentioning

confidence: 99%

“…At present, the atmospheric infrared radiation can be generally calculated by the layered theory [14]. Assuming that the observation point is located at height h. When the observation point is facing upward, the ground inclination angle in within 0 ≤ β < π.…”

Section: B Dual-band Attitude Measurement Modelmentioning

confidence: 99%

“…You Lu proposed a medium-wave infrared dual-band measurement method for the measurement of military target radiation characteristics, and proposed several methods to improve the measurement accuracy of dual-band radiation characteristics [13]. Yu B used Dual Band Infrared Detection (DBID) to detect the longitudinal tear of conveyor belts, not limited by dark and dusty environment [14].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Dual-Band Infrared Radiation for Rotating Missile Attitude Measurement and Interference Compensation

Han

et al. 2019

IEEE Access

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With the continuous development of infrared technology and its extensive usage in the military, the infrared radiation attitude measurement technology is attracting more and more attention. Aiming at the compensation requirement for complex infrared background interference during the rotating missile infrared attitude measurement, the theoretical research on the dual-band infrared rotating missile attitude measurement is carried out. The mechanism and interference characteristics of the earth infrared radiation are analyzed according to the flying missile movement characteristics. The atmosphere propagation in 3∼5-µm and 8∼14-µm infrared radiation bands are studied, and the dual-band infrared radiation attitude measurement model is established. Then, the influence of cloud infrared radiation interference on the dual-band infrared radiation sensor is analyzed, and a nighttime dual-band infrared radiation attitude measurement difference compensation algorithm is proposed to obtain the compensated attitude angle parameter. The results of the semi-physical experiments show that the compensated roll angle error is within ±0.6 • and the pitch angle error is within ±1 •. The dual-band infrared radiation attitude measurement difference compensation algorithm can effectively eliminate the effects of cloud infrared radiation interference and improve the anti-interference ability of infrared radiation attitude measurement.

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Section: B Infrared Attitude Angle Direct Solution Methodsmentioning

confidence: 99%

Section: B Dual-band Attitude Measurement Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dual-Band Infrared Radiation for Rotating Missile Attitude Measurement and Interference Compensation

Han

et al. 2019

IEEE Access

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“…Li et al used the optimized SSR algorithm to detect the damage of conveyor belt [11]. Yu et al proposed a dual-band machine vision method based on the combination of medium infrared light and long infrared light to detect belt damage [12]. Hou et al employed the multi-spectral image acquisition sensor to decompose visible light into visible light, medium infrared light and far infrared light, and integrated the multi-spectral image for longitudinal tear detection of conveyor belt [13].…”

Section: Introductionmentioning

confidence: 99%

Research On ADCN Method for Damage Detection of Mining Conveyor Belt

Qiao

Pang

et al. 2021

IEEE Sensors J.

Self Cite

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Belt conveyor is considered as a momentous component of modern coal mining transportation system, and thus it is an essential task to diagnose and monitor the damage of belt in real time and accurately. Based on the deep learning algorithm, this present study proposes a method of conveyor belt damage detection based on ADCN (Adaptive Deep Convolutional Network). A deep convolution network with unique adaptability is built to extract the different scale features of visible light image of conveyor belt damage, and the target is classified and located in the form of anchor boxes. A data set with data diversity is collected according to the actual working conditions of the conveyor belt. After training and regression, the ADCN model can perfectly capture and classify the damaged target in the video of the conveyor running. Compared with the SVM based method, the method based on ADCN can better meet the realtime and reliability requirements of belt damage detection, and it has the positioning function which SVM does not have.

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“…Furthermore, real-time monitoring of the jet trajectory is extraordinary necessary to make the fire water arrive as soon as possible after the fire source is located. For the past few years, computer vision has commonly been used in many fields, such as fire detection [9,10,11,12,13], the mineral separation industry [14,15], intelligent measurements [16,17,18], and the processing of agricultural products [19,20,21]. With the aid of high-speed networks and advanced processing algorithms, computer vision has shown automation, accuracy, and intelligence advantages in the field of industrial process control.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Monitoring of Jet Trajectory during Jetting Based on Near-Field Computer Vision

Zhu

et al. 2019

Sensors

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A novel method of near-field computer vision (NFCV) was developed to monitor the jet trajectory during the jetting process, which was used to precisely predict the falling point position of the jet trajectory. By means of a high-resolution webcam, the NFCV sensor device collected near-field images of the jet trajectory. Preprocessing of collected images was carried out, which included squint image correction, noise elimination, and jet trajectory extraction. The features of the jet trajectory in the processed image were extracted, including: start-point slope (SPS), end-point slope (EPS), and overall trajectory slope (OTS) based on the proposed mean position method. A multiple regression jet trajectory range prediction model was established based on these trajectory characteristics and the reliability of the model was verified. The results show that the accuracy of the prediction model is not less than 94% and the processing time is less than 0.88s, which satisfy the requirements of real-time online jet trajectory monitoring.

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Dual band infrared detection method based on mid-infrared and long infrared vision for conveyor belts longitudinal tear

Cited by 35 publications

References 22 publications

Dual-Band Infrared Radiation for Rotating Missile Attitude Measurement and Interference Compensation

Dual-Band Infrared Radiation for Rotating Missile Attitude Measurement and Interference Compensation

Research On ADCN Method for Damage Detection of Mining Conveyor Belt

Real-Time Monitoring of Jet Trajectory during Jetting Based on Near-Field Computer Vision

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