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·Foreign objects in coal flow easily cause damage to conveyor belts and most foreign objects are often occluded making them difficult to detect Aiming at solving the problems of low accuracy and efficiency in the detection of occluded targets in a low illumination and dust fog environment an image detection method for foreign objects is proposed Firstly YOLOv5s
DOI / Corpus ID 18324646; The research on the detection method of belt deviation by video in coal mine article{Aichun2011TheRO title={The research on the detection method of belt deviation by video in coal mine} author={Zhu Aichun and Hua Gang and Wang Yongxing} journal={2011 International Conference on Mechatronic Science Electric
·The method proposed in this study improves the reliability of belt deviation fault detection of underground belt conveyors in coal mines and has wide application prospects in the field of coal mining Traditional belt deflection detection devices for underground belt conveyors in coal mines have problems such as their single function poor fault location and analysis
·In view of the immature damage detection methods of conveyor belt and the needs of the intelligent development of coal mine equipment a centernet based direct damage detection method was proposed on the basis of constructing the belt damage dataset 3000 images of conveyor belt damage were collected through on site data collection or
·In fact the technique of detecting conveyor belt failure by using the machine vision technology has aroused much concern Ponsa et al [10] developed a computer vision inspection system to detect defect of belts at a speed rate up to 2 m/s by using plane array camera to capture images Using 30 million pixel CCD area array camera and processing
DOI /s12652 020 02495 w Corpus ID 225211969; Video detection of foreign objects on the surface of belt conveyor underground coal mine based on improved SSD article{Wang2020VideoDO title={Video detection of foreign objects on the surface of belt conveyor underground coal mine based on improved SSD} author={Yuanbin Wang and
·Coal flow in belt conveyors is often mixed with foreign objects such as anchor rods angle irons wooden bars gangue and large coal chunks leading to belt tearing blockages at transfer points or even belt breakage Fast and effective detection of these foreign objects is vital to ensure belt conveyors safe and smooth operation This paper proposes an improved
·Lv et al [17] designed a dynamic measurement system of coal volume on belt conveyor based on image processing As shown in Fig 2 the surface of the coal mine conveyor belt that transports coal materials always exhibits an arc shaped surface during operation We selected the information from the non coal flow region of the conveyor belt
·Belt conveyor is an indispensable transportation equipment in coal mine production Conveyor belt is the most accident prone part of the whole belt conveyor [1] [2] which can be well distinguished from the normal operation of the conveyor belt Image and sound are the most obvious features of longitudinal tearing or scratching of the
·In various raw materials carrying conveyor belts of steelworks the occurrence of foreign particles like concrete boulders and iron rods is common during the transfer of material from mines to mills These particles can damage equipment in the mills while conveying or crushing in grinding mills leading to breakdown and low equipment availability To detect these
·Underground Coal Mining Conveyor Underground coal mines may contain gas methane and coal is a flammable substance Therefore the primary requirement for selecting coal conveyor is to ensure the safety of underground coal transportation You can choose solid woven belt conveyor and steel cord belt conveyor
·This paper applies the CenterNet target detection algorithm to the foreign object detection of coal conveying belts in coal mines Given the fast running speed of coal conveying belts and the
Due to the high noise and complicated scene of the visual scene of the coal mine conveyor belt the foreign body recognition for the conveyor belt image needs to be more efficient In this paper we introduce a method for coal and foreign body recognition in coal mine conveyor belt images based on Principal Component Analysis Network PCANet and Flat Neural Network FNN
·The camera is positioned at a distance of 1000 mm from the belt surface The purpose of this setup is to replicate the low light conditions typically found in coal mines After arranging the captured images a dataset comprising 9000 pictures is compiled
By utilizing video surveillance images combined with image processing and machine vision related technologies the theory of mine image monitoring has been applied to multiple aspects of automatic safety detection in coal mines such as the automatic identification of spontaneous combustion fires [7] coal production monitoring [8] face
·Coal flow in belt conveyors is often mixed with foreign objects such as anchor rods angle irons wooden bars gangue and large coal chunks leading to belt tearing blockages at transfer points
The belt conveyor is the main equipment for underground coal transportation Its coal flow is mixed with large coal gangue anchor rods wooden strips and other foreign objects which easily
·Find Coal Mining Conveyor Belt stock images in HD and millions of other royalty free stock photos illustrations and vectors in the Shutterstock collection Aerial View of Open Pit Coal Mine Conveyor Belt Ore Transport at Spring Day Germany north rhine westphalia grevenbroich bucket wheel excavator in garzweiler ii open pit mine Save
·Intelligent detection for the production of safe underground coal mines has become a hot research topic [5 6] By utilizing video surveillance images combined with image processing and machine vision related technolo gies the theory of mine image monitoring has been applied to multiple aspects of automatic safety detection in coal mines such as
·Design of coal mine drilling detection model combining improved YOLOv5 and Gaussian filtering thus enhancing image clarity and enhancing the detection speed of foreign object recognition and facilitating its application in edge computing devices thus ensuring belt conveyors safe and efficient operation The method proposed in this
·For the wear and damage to mine conveyor belts by foreign materials such as large materials this paper designs a volume measurement method for large materials based on binocular vision by the volume measurement of the large material inon the conveyor belt provides safety warning data of over volume limits for mine conveyor belts and prevents damage to the
·AbstractBased on the current coal mine roadway using supporting steel belt steel belt auxiliary anchor support the location of the supporting steel belt anchor holes is mainly done manually; if the location is not accurate there will be large safety
·The belt conveyor is one of the key equipment in coal mining Timely identification of belt damage is necessary to ensure coal mine safety production and reduce economic losses
