MTW European Type Trapezium Mill
Input size:30-50mm
Capacity: 3-50t/h
LM Vertical Roller Mill
Input size:38-65mm
Capacity: 13-70t/h
Raymond Mill
Input size:20-30mm
Capacity: 0.8-9.5t/h
Sand powder vertical mill
Input size:30-55mm
Capacity: 30-900t/h
LUM series superfine vertical roller grinding mill
Input size:10-20mm
Capacity: 5-18t/h
MW Micro Powder Mill
Input size:≤20mm
Capacity: 0.5-12t/h
LM Vertical Slag Mill
Input size:38-65mm
Capacity: 7-100t/h
LM Vertical Coal Mill
Input size:≤50mm
Capacity: 5-100t/h
TGM Trapezium Mill
Input size:25-40mm
Capacity: 3-36t/h
MB5X Pendulum Roller Grinding Mill
Input size:25-55mm
Capacity: 4-100t/h
Straight-Through Centrifugal Mill
Input size:30-40mm
Capacity: 15-45t/h
Foreign ore transmission system
Mining belt foreign body detection method based on YOLOv4
Foreign body detection plays an important role in the ore processing and product quality control industries Ore conveyor belts can be laden with all kinds of foreign bodies when transporting2023年6月1日 In the process of mining belt transportation, various foreign objects may appear, which will have a great impact on the crusher and belt, thus affecting production progress and Mining belt foreign body detection method based on 2023年8月26日 As one of the main pieces of equipment in coal transportation, the belt conveyor with its detection system is an important area of research for the development of intelligent A Foreign Object Detection Method for Belt Conveyors Based on 2022年7月25日 Color ore sorter, Xray ore transmission sorter, dualenergy Xray transmission ore sorter, Xray fluorescence ore sorter, and nearinfrared ore sorter have been successfully A review of intelligent ore sorting technology and equipment
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Computer vision detection of foreign objects in coal processing
2021年6月1日 In this study, a convolutional neural network (CNN) with attention modules was designed to accurately segment foreign objects from a complex background in realtime The 2024年7月9日 Detecting foreign objects in power transmission lines is essential for mitigating safety risks and maintaining line stability Practical detection, however, presents challenges GEBYOLO: a novel algorithm for enhanced and efficient NatureThis article provides a current state of the art review of all available designs for detecting metal and living objects in WPT systems Working principles and qualitative comparisons in terms of Foreign Object Detection in Wireless Power Transfer SystemsIn this article, a WPT system without and with foreign objects is constructed The influence of foreign objects on selfinductance and mutualinductance of coupling coils is studied from theInfluence analysis of metal foreign objects on the wireless power
Mining belt foreign body detection method based on
2023年6月1日 Foreign body detection plays an important role in the ore processing and product quality control industries Ore conveyor belts can be laden with all kinds of foreign bodies 2023年6月1日 To solve the above problems, this paper proposes a YOLOv4GECAbased method to detect foreign bodies on the ore transmission belt the computer operating system is Windows 10 64bitMining belt foreign body detection method based on 2023年12月28日 Detecting component defects and attaching tinyscaled foreign objects to the overhead transmission lines are critical to the national grid’s safe operation and power distribution This urgent task, however, faces challenges, YOLOCSMBased Component Defect and Foreign 2023年10月1日 Download Citation Research on foreign body detection in transmission lines based on a multiUAV cooperative system and YOLOv7 The unique plateau geographical features and variable weather of Research on foreign body detection in transmission lines based
Foreign Object Detection of Transmission Lines Based on
2019年12月19日 The early detection methods of foreign bodies in transmission lines are mainly based on image processing techniques, For example, in the papers [], the author based on image segmentation, filtering to reduce noise, using Canny edge detection, Hough transform for line detection is realizedIn the papers [2, 3], on the basis of image segmentation, the author uses 2022年7月25日 Under the background of increasingly scarce ore worldwide and increasingly fierce market competition, developing the mining industry could be strongly restricted Intelligent ore sorting equipment not only improves ore use and enhances the economic benefits of enterprises but also increases the ore grade and lessens the grinding cost and tailings A review of intelligent ore sorting technology and equipment 2019年8月1日 The foreign object on the transmission line is one of the main reasons for the failure of the transmission line, which brings huge economic losses to the society The traditional method has the Development of foreign matter removal robot for overhead transmission lines2021年6月1日 Zhao et al (2019) proposed a PCANet and FNN for coal and foreign body recognition in coal mine conveyor belt images Li et al (2020) used the YOLO object detection algorithm to inspect foreign objects on a coal conveyor belt (Wang et al, 2020) proposed that video detection of foreign objects on the belt surface was performed based on puter vision detection of foreign objects in coal processing
Research on Metal and Living Foreign Object Detection Method
2024年1月22日 In the electric vehicle wireless power transmission system, the highfrequency alternating magnetic field between the transmitter and receiver can have a certain impact on the health of living organisms and may even lead to lesions In addition, metal foreign objects in an alternating magnetic field can cause their own heating or even cause fires due to the eddy 2022年1月1日 The schematic diagram of the system for foreign objects detection of transmission lines Bounding box prediction mechanism Schematic diagram of training and detection processAn Improved YOLOv3 for Foreign Objects Detection of Transmission 2023年1月1日 As the grid coverage rises, foreign objects invade more and more frequently, causing grid failures to rise every year To address this issue, this paper proposes a deep learningbased transmission (PDF) Foreign Objects Identification of Transmission Line Based 2024年1月1日 Effective and accurate detection of foreign objects in transmission lines plays a crucial role in achieving intelligent power inspection However, in the real world, detecting objects that are too (PDF) Improved YOLOv8n for ForeignObject Detection in Power
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Development and Application of Foreign objects
2019年11月7日 This paper presents a device for removing foreign objects on highvoltage transmission lines in the power systemThe device aims to solve current difficulties including high labor density and low 2021年2月5日 In the wireless power transmission system (WPTS), the method comprising the steps of pseudorandomly applying a signal to the transmitting coil determines whether the object has the possible characteristics recognized Foreign Object Detection in Wireless Power The wireless power transmission (WPT) system through magnetic field coupling for energy transmission may have foreign objects in the transmission channel in the practical application process, which brings hidden dangers to the WPT system In this article, a WPT system without and with foreign objects is constructedInfluence analysis of metal foreign objects on the wireless power The smooth operation of power transmission lines is crucial for maintaining the stability of the power system Foreign objects, such as bird nests, trash, and balloons, when attached to transmission lines, can cause short circuits or fires, resulting in severe operational obstacles for the power grid Against this background, the development of an efficient and accurate Foreign Object Detection Method in Transmission Semantic
GEBYOLO: a novel algorithm for enhanced and efficient Nature
2024年7月9日 Detecting foreign objects in power transmission lines is essential for mitigating safety risks and maintaining line stability A Linux system with Pytorch = 170 and Python = 38 was used2022年12月1日 The foreign objects on the transmission line tower will cause adverse effects on the transmission line and other equipment, and even endanger the safe operation of the power gridResearch on Efficient Detection Method of Foreign Objects on 2024年7月30日 Foreign objects such as balloons and nests often lead to widespread power outages by coming into contact with transmission lines The manual detection of these is laborintensive work Automatic foreign object detection on transmission lines is a crucial task for power safety and is becoming the mainstream method, but the lack of datasets is a restriction In this Foreign Object Detection Network for Transmission Lines from2023年7月18日 Suspended foreign objects on transmission lines will shorten the discharge distance, easily leading to phasetoground or phasetophase short circuits, which induces outage accidents Foreign objects are small and difficult to identify, resulting in low detection accuracy An improved foreign object detection method based on Swin Transformer V2 and Foreign object detection for transmission lines based on Swin
(PDF) Neural Detection of Foreign Objects for Transmission Lines
2019年7月1日 Foreign objects caught and entangled on power grid transmission lines, power towers and other equipment can pose potential threats to the power system The detection algorithm for foreign objects 2016年6月1日 Foreign body has been identified as a significant problem in power transmission due to the potential for system damage In this paper, the euclidean distance method and forecasting of drift of The Research of Transmission Line Foreign Body Detection Based 2023年10月1日 Foreign objects intrusion into transmission lines can lead to serious troubles, using deep learning technology for foreign object detection has good performance and can reduce lossesDetection of Foreign Objects Intrusion Into Transmission Lines 2024年6月26日 transmission line foreign body detection algorithm based on weighted spatial attention FrontNeurorobot18: doi: 103389/fnbot2024 system,improveworkefficiency,reducecosts,andeffectivelyavoid circuit hazards caused by foreign objects in transmission linesThe transmission line foreign body detection algorithm based on
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A Deep Learning Method to Detect Foreign Objects for Inspecting
2020年5月19日 Transmission power lines are essential to supply electrical energy to consumption centers Keeping a reliable transmission system requires the early identification of faultsTransmission lines against invading foreign objects is the most basic errand in the assurance of power system [23], [24] Overhead line failures caused by invading foreign objectsA Deep Learning Method to Detect Foreign Objects for2023年11月28日 An improved YOLOv8mbased model for detecting foreign objects on transmission lines is proposed by incorporating a Global Attention Module (GAM) into the backbone to focus on occluded foreign objects, replacing the SPPF module with the SPPCSPC module, and introducing the FocalEIoU loss function to address the issue of high and low ForeignObject Detection in HighVoltage Transmission Line Download Citation On Jan 1, 2020, Shuqiang Guo and others published Foreign Object Detection of Transmission Lines Based on Faster RCNN Find, read and cite all the research you need on Foreign Object Detection of Transmission Lines Based on
(PDF) Transmission Line Foreign Body Fault Detection Using
2022年8月1日 In order to improve the efficiency and detection accuracy of foreign body inspection of transmission lines, we propose a multiUAV collaborative system specifically designed for the geographical 2019年12月19日 The experimental results show that compared with the traditional object recognition method, Faster RCNN not only overcomes the instability of manual extraction features, but also improves the accuracy of foreign object detection in transmission lines The object detection method based on RCNN network model has good mobility and robustness Foreign Object Detection of Transmission Lines Based on Faster 2019年1月1日 This paper proposes a new deep learning network RCNN4SPTL (RCNN based Foreign Object Detection for Securing Power Transmission lines), which is suitable for detecting foreign objects on power RCNNbased foreign object detection for securing power transmission 2023年6月1日 To solve the above problems, this paper proposes a YOLOv4GECAbased method to detect foreign bodies on the ore transmission belt the computer operating system is Windows 10 64bitMining belt foreign body detection method based on
YOLOCSMBased Component Defect and Foreign
2023年12月28日 Detecting component defects and attaching tinyscaled foreign objects to the overhead transmission lines are critical to the national grid’s safe operation and power distribution This urgent task, however, faces challenges, 2023年10月1日 Download Citation Research on foreign body detection in transmission lines based on a multiUAV cooperative system and YOLOv7 The unique plateau geographical features and variable weather of Research on foreign body detection in transmission lines based 2019年12月19日 The early detection methods of foreign bodies in transmission lines are mainly based on image processing techniques, For example, in the papers [], the author based on image segmentation, filtering to reduce noise, using Canny edge detection, Hough transform for line detection is realizedIn the papers [2, 3], on the basis of image segmentation, the author uses Foreign Object Detection of Transmission Lines Based on2022年7月25日 Under the background of increasingly scarce ore worldwide and increasingly fierce market competition, developing the mining industry could be strongly restricted Intelligent ore sorting equipment not only improves ore use and enhances the economic benefits of enterprises but also increases the ore grade and lessens the grinding cost and tailings A review of intelligent ore sorting technology and equipment
Development of foreign matter removal robot for overhead transmission lines
2019年8月1日 The foreign object on the transmission line is one of the main reasons for the failure of the transmission line, which brings huge economic losses to the society The traditional method has the 2021年6月1日 Zhao et al (2019) proposed a PCANet and FNN for coal and foreign body recognition in coal mine conveyor belt images Li et al (2020) used the YOLO object detection algorithm to inspect foreign objects on a coal conveyor belt (Wang et al, 2020) proposed that video detection of foreign objects on the belt surface was performed based on puter vision detection of foreign objects in coal processing 2024年1月22日 In the electric vehicle wireless power transmission system, the highfrequency alternating magnetic field between the transmitter and receiver can have a certain impact on the health of living organisms and may even lead to lesions In addition, metal foreign objects in an alternating magnetic field can cause their own heating or even cause fires due to the eddy Research on Metal and Living Foreign Object Detection Method 2022年1月1日 The schematic diagram of the system for foreign objects detection of transmission lines Bounding box prediction mechanism Schematic diagram of training and detection processAn Improved YOLOv3 for Foreign Objects Detection of Transmission
(PDF) Foreign Objects Identification of Transmission Line Based
2023年1月1日 As the grid coverage rises, foreign objects invade more and more frequently, causing grid failures to rise every year To address this issue, this paper proposes a deep learningbased transmission