深部井下结构紧凑型煤矸智能化精确分选技术及装备

项目来源

国家重点研发计划(NKRD)

项目主持人

曹亦俊

项目受资助机构

郑州大学

立项年度

2018

立项时间

未公开

项目编号

2018YFC0604702

项目级别

国家级

研究期限

未知 / 未知

受资助金额

314.00万元

学科

深地资源勘查开采

学科代码

未公开

基金类别

未公开

关键词

井下选煤 ; 水力旋流器 ; 水化作用 ; 采选充一体化 ; 智能化 ; 模块化 ; underground coal preparation ; hydrocyclone ; hydration ; mining-preparation-backfilling integration ; intelligent ; modular

参与者

桂夏辉;刘培坤;庞卫东;张培森;张悦刊;王志刚;刘敏

参与机构AI

山东科技大学

项目标书摘要:随着机械采煤技术和放顶采煤技术的推广,使大量矸石混入原煤,部分矿井含矸率达到60%以上,传统井下采煤—井上选煤模式面临矸石运输带来的无用能耗和地表矸石污染环境等问题,造成大量能源、资金浪费,井下选煤技术急需深入研究。目前,井下选煤技术仅限井下预排矸,分为干法和湿法,干法排矸受到物料性质的限制,尚难广泛推广;动筛跳汰精度较差,洗选深度低;重介质浅槽分选机分选精度较高,洗选深度较高,但重介质回收和再生系统复杂,占地面积大。因此本项目提出“井下专用紧凑型跳汰机—精细分级精确分选水力旋流器”技术,保证洗选深度,节约井下空间。项目主要开展四个方面的研究:1井下煤矸精确分选过程共性关键技术。颗粒与液流的跟随性规律和相互作用机制,明晰煤矸分离规律,研究煤矸界面水化作用机制,建立调控胶体体系颗粒分散行为方法,开发井下煤泥水巷道自过滤净化与循环利用技术。2井下煤矸智能化精确分选关键装备。开发排矸率高,矸石带煤率低,处理能力大,安全和防护等级高,结构适应的井下专用紧凑型跳汰机,开发两段组合式水介质旋流器。3井下分选系统及物料运输智能化控制。开展跳汰智能化分选和物料运输智能化控制研究,实现煤矿井下采选充带式输送机系统的智能化。4构建简洁高效的智能化模块化井下煤矸分选系统。

Application Abstract: With the popularization of mechanical coal mining technology and top coal mining technology,a large amount of gangue is mixed into raw coal,and some mines has a gangue content of more than 60%.The traditional underground coal mining-upground coal preparation mode is faced with the useless energy consumption caused by gangue transportation and the environmental pollution caused by gangue,resulting in a large amount of energy and capital waste.The underground coal preparation technology urgently needs in-depth study.At present,underground coal preparation technology is limited to underground pre-drainage,which is divided into dry method and wet method.Dry method is limited by the nature of materials,and it is still difficult to widely promote;the accuracy of moving screen jigging is poor,and the washing depth is low;The medium shallow tank sorting machine has higher sorting precision and higher washing depth,but the heavy medium recovery and regeneration system are complex and covers a large area.Therefore,the project proposes the technology of“underground dedicated compact jig-fine grading and precise sorting hydrocyclone”.Guarantee washing depth and save underground space.The project mainly carries out research in four aspects:1Common key technologies for the accurate separation process of underground coal gangue.The following rules and interaction mechanism of particle and liquid flow,clear the separation law of coal gangue,study the mechanism of hydration of coal gangue interface,establish a method of regulating particle dispersion behavior of colloidal system,and develop self-filtration purification and recycling technology of underground coal slurry roadway.2Intelligent and precise sorting of key equipment for underground coal gangue.Developing the compact jig for underground mines with high drainage rate,low coal-bearing coal rate,high processing capacity,high safety and protection grade,and structural adaptation.Developing the two-stage hydrocyclone.3Intelligent control of underground sorting system and material transportation.Carry out intelligent research on jigging intelligent sorting and material transportation intelligent control to realize the intelligentization of belt conveyor system of mining-preparation-backfilling system.4Construct a simple and efficient intelligent modular underground coal shovel sorting system.

项目受资助省

河南省

联系人信息

桂夏辉:guixiahui1985@163.com

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  • 1.Method of detecting wear of rigid tank way of vertical shaft based on machine vision

    • 关键词:
    • Computer vision;Tanks (containers);Wear of materials;Digital storage;'current;Detection technology;Image preprocessing;Machine-vision;On-machines;Operating condition;Rapid detection;Vertical shaft;Vertical shaft rigid tank;Wear detection
    • Wang, Detang;Yang, Xue-Shun;Liu, De-Jian;Wang, Tong-Hao
    • 《2021 International Conference on Intelligent Equipment and Special Robots, ICIESR 2021》
    • 2021年
    • October 29, 2021 - October 31, 2021
    • Qingdao, China
    • 会议

    Aiming at the current wear detection of vertical shaft rigid tanks, which cannot directly know the wear value and directly observe the operating conditions of the tanks, a rapid detection method for the wear detection of the tanks is designed. Use Halcon image processing technology to complete the image processing of the tank road image information collected by the industrial camera, and integrate image preprocessing, shape-based template matching and geometric measurement algorithms into the Qt Creator platform, using the UI interface on Qt Creator Realize the functions of display, data storage and early warning of tank wear data. The reliability of the detection technology is verified through experiments, and the experimental tests show that the detection technology can be used for actual detection. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

    ...
  • 2.Design of dynamic monitoring system of hoisting derrick based on wireless communication

    • 关键词:
    • Vibrations (mechanical);Cranes;Signal processing;Computer control systems;Production efficiency;Coal mines;Display devices;Monitoring;Configuration software;Dynamic monitoring;Dynamic monitoring system;Early warning;Real-time dynamic monitoring;Sensor;Single sensor;Wireless communications;Wireless conversion;Wireless systems
    • Wang, De-Tang;Wang, Tong-Hao;Zhang, Li-Chun
    • 《2021 International Conference on Intelligent Equipment and Special Robots, ICIESR 2021》
    • 2021年
    • October 29, 2021 - October 31, 2021
    • Qingdao, China
    • 会议

    In this paper, focusing on the problem of dynamic monitoring of existing coal mine metal hoisting derricks, a wireless system for real-time dynamic monitoring of metal derricks based on wireless communication is proposed. On the basis of the original single sensor device, the system monitors the partial force of the metal derrick, the state of the sky wheel, the main body tilt and vibration, etc., through the system integration structure, the various monitored information is gathered together for viewing The data obtained is sent to the AP base station wirelessly through a wireless acquisition device using multiple XLAI analog signal acquisition modules and M series RS485 data acquisition modules, and the AP base station uploads the information to the main control computer for intelligent display, and sets the early warning value for early warning. Field tests show that the design can meet actual needs, can effectively monitor the lifting derrick dynamically, and can make timely and accurate judgments and processing for various fault information, and improve the safety performance and production efficiency of mine operations. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

    ...
  • 3.Research on trajectory optimization of six-degree-of-freedom industrial robot

    • 关键词:
    • Robot programming;Industrial research;Degrees of freedom (mechanics);Interpolation;Curve fitting;Industrial robots;Trajectories;B splines;Improved genetic algorithm;Motion stability;PUMA560;Six degrees of freedom;Time-optimal trajectory planning;Trajectory optimization;Trajectory planning method;Work efficiency;Working process
    • Li, Jinliang;Xue, Mingyuan;Zhang, Bin;Zhang, Junwei
    • 《2021 International Conference on Intelligent Equipment and Special Robots, ICIESR 2021》
    • 2021年
    • October 29, 2021 - October 31, 2021
    • Qingdao, China
    • 会议

    Aiming at the requirements of motion stability and work efficiency in the actual working process of industrial robots, a time-optimal trajectory planning method for industrial robots with six degrees of freedom is proposed. Taking the six-degree-of-freedom robot PUMA560 as an example, a cubic B-spline curve is used to connect each adjacent path point to express the trajectory, and then the B-spline function trajectory is modified through an improved genetic algorithm to make the robot arm complete the work under the condition of joint constraints with the shortest time. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

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  • 4.Fault diagnosis of rolling bearing based on CS-fuzzy neural network and wavelet packet transform

    • 关键词:
    • Optimization;Packet networks;Wavelet decomposition;Fuzzy inference;Fault detection;Coal mines;Fuzzy neural networks;Wavelet analysis;Roller bearings;Bearing fault;Bearing fault diagnosis;CS-fuzzy neural network;Faults diagnosis;Fuzzy-neural-networks;Mechanical;Network packets;Rolling bearings;Wavelet Packet Decomposition;Wavelet packet transforms
    • Wang, Detang;Zhang, Houzhi;Cao, Yueshuai;Dong, Bo
    • 《2021 International Conference on Intelligent Equipment and Special Robots, ICIESR 2021》
    • 2021年
    • October 29, 2021 - October 31, 2021
    • Qingdao, China
    • 会议

    Aiming at the problem of low accuracy in fault diagnosis of mechanical bearing in coal mine. A method based on CS-fuzzy neural network and wavelet packet transform is proposed for bearing fault diagnosis. Firstly, the collected data is processed by wavelet packet decomposition and reconstruction, and the fault feature vector is established. Then, the CS-fuzzy neural network based on improved cuckoo search algorithm is used to identify and diagnose the bearing fault type. Through experimental verification, the combination method of wavelet packet decomposition and cs-fuzzy neural network can diagnose bearing fault more accurately and quickly. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

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