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
Intelligent gangue picking machinery
智能选矸机器人关键技术研究
摘要: 介绍了智能选矸机器人应用与研究现状，指出目前智能选矸机器人主要基于X射线和图像识别原理，利用高压气动分拣和桁架机器人抓取进行煤矸分离；智能选矸机器人分拣执行机构主要 2024年7月17日 Traditional manual gangue picking and multiaxis robotic arm gangue selection currently suffer from low recognition accuracy, slow sorting efficiency, and high worker labor Design and application of coal gangue sorting system based on 该系统设计主要包括机器视觉识别算法和机械手控制系统两部分，其中：机器视觉算法采用CornerNetSqeezeNet模型，运算速度块，识别效果好；机械手控制系统采用并联机械手和三 智能选矸机器人系统的研究与应用2024年9月1日 Gao designed a coal gangue intelligent sorting system using machine vision to sort the coal flow on conveyors This system mainly consists of a gangue sorting platform for Research and prospect of underground intelligent coal gangue
智能干选装置在地面毛煤排矸系统中的研究与应用
本文对目前各类毛煤选矸工艺进行对比分析，详述了PIDS带式智能干选系统的工作原理及技术流程，并总结了毛煤智能干选系统的技术优点，对该系统的实际应用方案和取得的经济和社会效益 该系统设计主要包括机器视觉识别算法和机械手控制系统两部分,其中:机器视觉算法采用CornerNetSqeezeNet模型,运算速度块,识别效果好;机械手控制系统采用并联机械手和三坐标机 智能选矸机器人系统的研究与应用【维普期刊官网 2023年12月21日 To tackle the challenges associated with coal gangue target detection, including algorithm performance imbalance and hardware deployment difficulties, in this paper, Intelligent Gangue Sorting System Based on DualEnergy Xray The automatic sorting of coal gangues can be realized by the machine vision based on sorting technology and the mechanical arms As a result, the production cost can be effectively Intelligent Sorting System of Coal Gangue with Machine Vision
Research progress and key technologies of intelligent coalgangue
Therefore, developing a highperformance, highly reliable intelligent coalgangue sorting robot is necessary The paper analyzes the research status of coalgangue recognition, robot 2024年9月1日 This article reviews the current state of research on coal gangue sorting methods on the surface and underground, comparing their advantages and disadvantages, and Research and prospect of underground intelligent coal gangue 2023年1月1日 The estimation of gangue content is the main basis for intelligent top coal caving mining by computer vision, and the automatic segmentation of gangue is crucial to computer vision analysis However, it is still a great challenge due to the degradation of Hybrid connected attentional lightweight network for gangue intelligent 2023年12月21日 An intelligent gangue separation system that adopts the elevated YOLOv5 algorithm and dualenergy Xrays is proposed, which is expected to save energy and reduce consumption, reduce labor, improve efficiency, and be more friendly to the embedded platform Intelligent gangue sorting with high precision is of vital importance for improving coal quality Intelligent Gangue Sorting System Based on DualEnergy Xray
Design and application of coal gangue sorting system based on
Intelligent gangue selection is primarily divided into Picking gangue according to the experience of workers Simple to operate and easy to implement High labour intensity, 2018年10月26日 Coal and gangue recognition is a key issue in rock picking during the coal preparation process Four operating conditions including raw coal with the dry clean surface, wet clean surface, dry Coal and gangue recognition under four operating conditions 2023年4月7日 According to the impurity composition of feldspar, there are 6 main feldspar beneficiation methods: hand picking, water washing, flotation, magnetic separation, gravity separation, and acid leaching 1 Feldspar handpicking method The handpicking method is suitable for good quality feldspar ores in pegmatite minesTop 6 Feldspar Beneficiation Methods that Interest You2023年12月21日 Intelligent gangue sorting with high precision is of vital importance for improving coal quality To tackle the challenges associated with coal gangue target detection, including algorithm performance imbalance and hardware deployment difficulties, in this paper, an intelligent gangue separation system that adopts the elevated YOLOv5 algorithm and dual Intelligent Gangue Sorting System Based on DualEnergy Xray
煤矸石智能分拣机器人研究进展与关键技术
Abstract: The gangue is wrapped by slurry in underground coal mine, which causes difficult coalgangue recognition and sorting The underground working space is narrow, so the equipment layout is difficult, and the diversion of coalgangue is difficult Therefore, developing a highperformance, highly reliable intelligent coalgangue sorting robot is necessary2004年9月9日 By the beginning of 1947 much effort had gone into writing programmes or ‘instruction tables’ for the ACE In ‘Proposed Electronic Calculator’, Turing had said that work on instruction tables should start immediately, since the ‘earlier stages of the making of instruction tables will have serious repercussions on the design [of the machine]’; moreover, the Intelligent Machinery (1948) The Essential Turing Oxford Abstract: This paper introduces the application and research status of the intelligent gangue sorting robot This paper points out that the intelligent gangue sorting robot is mainly based on the principle of Xray and image identification And the highpressure pneumatic sorting and truss robot grasping sorting are used to separate coal and gangue智能选矸机器人关键技术研究2020年10月15日 In terms of problems, we proposed that the fruit, vegetable and fungus picking machinery should be more intelligent and automated in the future Discover the world's researchReview on fruit, vegetable and fungus picking machinery (果蔬菌
Intelligent Sorting System of Coal Gangue with Machine Vision
2018年8月1日 Zhao et al [7], [8] proposed an identification method for a sorting system based on the statistical features of coal and gangue images; the method computes the statistical mean of each feature Existing coal and gangue sorting method based on image identification has poor realtime performance and low sorting accuracy, the densitybased sorting method is suitable for underground preparation but has high cost In view of above problems, an intelligent coal and gangue sorting system based on EAIDK was designed Embedded artificial intelligence Design of intelligent coal and gangue sorting system based on 2024年6月30日 Advancements in artificial intelligence have opened novel prospects in the domain of coal preparation, such as the intelligent photoelectric identification of coal gangue Stability sensitivity for a cablebased coalgangue picking robot based on grey relational analysis Int J Adv Rob Syst (2021)Intelligent photoelectric identification of coal and gangue − A 2024年6月5日 Dear Colleagues, This Special Issue, titled “Intelligent Agricultural Machinery and Robots: Embracing Technological Advancements for a Sustainable and Highly Efficient Agricultural Future”, aims to shed light on the cuttingedge innovations and breakthroughs in the realm of smart farming, smart livestock management, and efficient greenhouse administrationAgriculture Special Issue : Intelligent Agricultural Machinery and
Track planning of coal gangue sorting robot for dynamic target
When the robot is used to sort coal gangue, in order to solve the problems such as inaccurate positioning of gangue, failure of grasping by end of the manipulator and load impact caused by slippage and leftright swing of belt conveyor, a track planning method of coal gangue sorting robot for dynamic target stable grasping based on machine vision is proposed Firstly, the aoyang Coal Mine belongs to Shanxi Fenxi Mining (Group) Co, LTD, 20050mm large coal is originally discharged by vibroassisted jigging, due to the backward discharge process, the coal carrying rate of gangue in the stone is 58% In April 2023, Gaoyang Coal Mine purchased two IDS2000A intelligent dry separators from Tangshan Shenzhou Machinery Group, which Gangue with coal is "0"! Shanxi Coking Coal Group's IDS intelligent All machinery can be regarded as continuous, but when it is possible to regard it as discrete it is usually best to do so The states of discrete machinery will be described as ‘configurations’ ‘Controlling’ and ‘active’ machinery Machinery may be described as ‘con¬ trolling’ if it only deals with informationIntelligent Machinery Archive“Someday, perhaps soon, we will build a machine that will be able to perform the functions of a human mind, a thinking machine” [88], the first sentence in Hillis’ book on the Connection Machine, a legendary computing machine that provided a large number of tiny processors and memory cells connected by a programmable communications networkAlan Turing probably Intelligent Machinery SpringerLink
Design and application of coal gangue sorting system based on
2024年7月17日 A deep learningbased, noncontact gangue recognition and pneumatic intelligent sorting system that achieves a gangue identification accuracy exceeding 97%, a sorting rate above 91%, and a separation time of less than 3 s from identification to separation, thereby effectively enhancing raw coal purity With the advancement of science and technology, coal Traditional manual gangue picking and multiaxis robotic arm gangue selection currently suffer from low recognition accuracy, slow sorting efficiency, and high worker labor intensity This paper proposes a deep learningbased, noncontact gangue Design and application of coal gangue sorting system based on PDF On Jan 1, 2021, 建军 石 published Some Developments in the Research of Tea Picking Technology Find, read and cite all the research you need on ResearchGateSome Developments in the Research of Tea Picking Includes 'Treatise on the Enigma', 'Proposed electronic calculator', 'Intelligent machinery' as well as illustrated typescripts about morphogenesis arrowforwardios Read more Correspondence AMTD Includes letters from Turing to his mother, 'Intelligent machinery' The Turing Digital Archive
Research on an Intelligent Agricultural Machinery
2023年9月28日 Intelligent agricultural machinery refers to machinery that can independently complete tasks in the field, which has great significance for the transformation of agricultural modernization However, most of the existing the proportion of gangue brought into the raw coal preparation system has resulted in a great increase in the yield of lump gangue (Li, Wang, and An 2015) Collecting the waste manually is not suitable, so discharging the waste using machinery is imperative Figure 1A review of intelligent coal gangue separation technology and An intelligent dry sorting system typed GDRT using γray as gangue detec tion sensor and highpressure air gun as actuator have been successfully applied in six coal mining companies in ChinaCoal and gangue recognition under four operating conditions by Visual recognition system of cherry picking robot based on Lab color model Qirong Zhang, Jianjun Zuo, Tingzhong Yu et alOn the Equivalent Position Workspace for a Coal Gangue Picking Robot P Liu, H W Ma, X H Zhang et alMultiSensor Fusion Tomato Picking Robot Localization and Mapping Research Kai Chen, Jian Yang, Shuai Jiang et alDesign and Research on the End Actuator of Tomato Picking Robot
Intelligent detection of coal gangue in mining Operations using
Currently, coal gangue detection methods include traditional techniques and image processingbased methods Traditional methods encompass techniques such as radioactive detection [2] and density identification Radioactive detection identifies coal and gangue by measuring the difference in their absorption of radiation, requiring a high execution speed2021年11月8日 Zhang et al [67] proposed an intelligent tea picking machine based on active computer vision and Internet of Things (IoT) technology, which can be used for various quality and production Intelligent TeaPicking System Based on Active Computer Vision The results indicate that the 5 characteristic parameters extracted from graylevel histogram are valid as foundation in identifying the coal and gangue and also that the SVM algorithm is superior to the selforganizing competitive neural network algorithm in identifying the coal and gangueIdentification of Coal and Gangue by SelfOrganizing Competitive Robot technology is considered one of the most promising technologies to achieve intelligent production, with picking robots being the most common type Picking robots are highly integrated mechatronic systems, which autonomously complete tasks including picking, carrying, and sorting The application of picking robots enhances the efficiency of production across various Classificationdesignoptimization integrated picking robots: a
Construction of intelligent visual coal and gangue separation
Download Citation On Sep 1, 2020, Zhiyuan Sun and others published Construction of intelligent visual coal and gangue separation system based on CoppeliaSim Find, read and cite all the O serviço do Google, oferecido sem custo financeiro, traduz instantaneamente palavras, frases e páginas da Web do português para mais de cem outros idiomasGoogle Tradutor2018年12月13日 In addition, the labour productivity of ICLS can be improved by adopting intelligent and automated agricultural machinery in the future (Li et al, 2018), and there is a positive correlation (PDF) Agricultural Machinery Automation and 2023年4月23日 AI, machine learning, and deep learning approaches to complex decision making in smart machinery, such as intelligent control, intelligent diagnosis, and intelligent manufacturing planning; Managing and fully utilizing big data collected in realtime from supply chains for intelligent decision making;Innovations for Interpretability, Flexibility, and Sustainability in
A research for intelligent cotton picking robot based on
2008年6月20日 A new design of Intelligent Cotton Picking Robot (ICPR) based on machine vision including the motion control subsystem and machine vision subsystem and the results demonstrate that the method for cotton recognition is well done and the increased pace helps improve the speed of the processing Analysing the cotton picker in current situation of China, 2024年3月31日 In the realm of automated apple picking operations, the realtime monitoring of apple maturity and diameter characteristics is of paramount importance Given the constraints associated with feature detection of apples in automated harvesting, this study proposes a machine visionbased methodology for the accurate identification of Fuji apples’ maturity and New Progress in Intelligent Picking: Online Detection of Apple 为解决选煤厂人工选矸岗位劳动强度大且存在安全隐患等问题，设计了集煤矸智能识别和分拣于一体的智能选矸机器人系统。该系统设计主要包括机器视觉识别算法和机械手控制系统两部分，其中：机器视觉算法采用CornerNetSqeezeNet模型，运算速度块，识别效果好；机械手控制系统采用并联机械手和 智能选矸机器人系统的研究与应用QIAO Xinzhou, GONG Li, LIU Peng On Trajectory Planning for a Cabledriven Gangue Sorting Robot[J] Mechanical Science and Technology for Aerospace Engineering, 2023, 42(12): 19861995 doi: 1013433/ki10038728On Trajectory Planning for a Cabledriven Gangue Sorting Robot
Construction of intelligent visual coal and gangue separation
Due to the energy composition of China rich in coal, poor in oil and low in gas, coal will continue to be the main energy source in China for a long time In order to improve the intelligence level of coal mine and realize the efficient and clean utilization, coal and gangue sorting is the research focus of many experts and scholars At present, the construction of the intelligent visual coal 由于煤矸石分拣环境复杂，为了避免机器人与障碍物发生碰撞，提高分拣效率，对机器人进行路径规划十分必要。分析了煤矸石分拣系统原理，将煤矸石分拣机器人路径规划问题归结为在障碍物环境下规划出一条从给定起点到目标点的无碰撞路径，且需同时满足速度快、避免与障碍物碰撞2个 基于GRRT*算法的煤矸石分拣机器人路径规划