Citation: | SHEN Binxue. Design and key technology of intelligent management and control system for coal preparation plant based on Mining Industry Internet[J]. Coal Science and Technology,2024,52(9):210−219. DOI: 10.12438/cst.2024-0873 |
In order to realize the automation, digitalization and intelligence of the whole process of coal preparation, the intelligent control system of coal preparation plant based on the Internet of mining industry is built, and the intelligent control platform of coal preparation plant is built and the production application practice is carried out. Based on the coal preparation plant real-time perspective intelligent control overall design objectives, established including edge layer, data center, Mining Industry Internet platform and business application of coal preparation plant intelligent control platform system, design the data center, business applications, studied the coal preparation data management, BIM driven digital twin, fine intelligent sorting control platform construction related key technologies. The coal preparation data management technology to give full play to the value of coal preparation industry data to provide technical support, BIM drive digital twin technology to realize the whole chain of intelligent management, fine sorting control realizes the product coal quality real-time online security, finally built with management system standardization, business process integration, data fusion collaborative intelligent control, rapid decision and analysis of coal preparation plant intelligent control platform. The platform based on Mining Industry Internet technology to connect production management, safety monitoring, production control and auxiliary decision-making systems, real-time perspective monitoring, scheduling and control of the production process, to achieve the implementation of production plan, optimal allocation of resources,Through the intelligent management and control system design and practice of Xiayukou coal preparation plant, it is verified that the platform has reached the goals of intelligent perception, auxiliary decision-making and accurate control, which has stabilized the quality of cleaned coal products, improved the recovery rate of cleaned coal, reduced production costs and reduced accident downtime.
[1] |
肖琳芬,王国法. 煤矿智能化技术体系建设进展与煤炭产业数字化转型[J]. 高科技与产业化,2024,30(2):12−15.
XIAO Linfen,Wang Guofa. Progress in the construction of intelligent technology system in coal mines and the digital transformation of coal industry[J]. High-Technology & Commercialization,2024,30(2):12−15.
|
[2] |
王国法,杜毅博,徐亚军,等. 中国煤炭开采技术及装备50年发展与创新实践——纪念《煤炭科学技术》创刊50周年[J]. 煤炭科学技术,2023,51(1):1−18.
WANG Guofa,DU Yibo,XU Yajun,et al. Development and innovation practice of China coal mining technology and equipment for 50 years:Commemorate the 50th anniversary of the publication of Coal Science and Technology[J]. Coal Science and Technology,2023,51(1):1−18.
|
[3] |
陶能进,郑继洪,李智阳. 我国煤炭洗选50年发展历程[J]. 选煤技术,2023,51(6):40−47.
TAO Nengjin,ZHENG Jihong,LI Zhiyang. 50 years of development course of coal washing in China[J]. Coal preparation technology,2023,51(6):40−47.
|
[4] |
刘峰,郭林峰,张建明,等. 煤炭工业数字智能绿色三化协同模式与新质生产力建设路径[J]. 煤炭学报,2024,49(1):1−15.
LIU Feng,GUO Linfeng,ZHANG Jianming,et al. Synergistic mode of digitalization-intelligentization-greeniation of the coal industry and it’s path of building new coal productivity[J]. Journal of China Coal Society,2024,49(1):1−15.
|
[5] |
刘洋,丁震,白应光,等. 基于数据驱动的选煤厂智能化建设[J]. 工矿自动化,2023,49(S2):52−55.
Liu Yang,Ding Zhen,Bai Yingguang,et al. Intelligent construction of coal preparation plant based on data drive[J]. Industrial and Mining Automation,2023,49(S2):52−55.
|
[6] |
李江涛,王安佳. 选煤厂智能决策系统在神东矿区的研发与应用[J]. 智能矿山,2023,4(10):72−79.
LI Jiangtao,WANG Anjia. Research and application of intelligent decision system in coal preparation plant in Shendong mining area[J]. Journal of Intelligent Mine,2023,4(10):72−79.
|
[7] |
李东坡,陶建平,张文钶,等. 煤矿大数据智能分析决策辅助技术研究[C]//第31届全国煤矿自动化与信息化学术会议暨第12届中国煤矿信息化与自动化高层论坛论文集. 徐州,2023:144−150.
|
[8] |
ZANG C Z,LU Z Y,YE S L,et al. Drilling parameters optimization for horizontal wells based on a multiobjective genetic algorithm to improve the rate of penetration and reduce drill string drag[J]. Applied Sciences,2022,12(22):11704. doi: 10.3390/app122211704
|
[9] |
赵啦啦,汪维,徐峰,等. 基于数字孪生的交叉筛智能控制技术研究现状[J]. 煤炭技术,2024,43(5):274−276.
ZHAO Lala,WANG Wei,XU Feng,et al. Research status of cross screen intelligent control technology based on digital twins[J]. Coal Technology,2024,43(5):274−276.
|
[10] |
王洋. 大海则选煤厂智能化建设实践[J]. 选煤技术,2022,50(4):94−98.
WANG Yang. Practice of construction of intelligent dahaize coal preparation plant[J]. Coal Preparation Technology,2022,50(4):94−98.
|
[11] |
ZHOU J,LI P G,ZHOU Y H,et al. Toward new-generation intelligent manufacturing[J]. Engineering,2018,4(1):11−20. doi: 10.1016/j.eng.2018.01.002
|
[12] |
余晓晖,刘默,蒋昕昊,等. 工业互联网体系架构2.0[J]. 计算机集成制造系统,2019,25(12):2983−2996.
YU Xiaohui,LIU Mo,JIANG Xinhao,et al. Industrial Internet architecture 2.0[J]. Computer Integrated Manufacturing Systems,2019,25(12):2983−2996.
|
[13] |
郑伟生,别铜选,付宇. 数字化协同设计在煤矿建设项目中的应用[J]. 陕西煤炭,2023,42(5):199−204.
ZHENG Weisheng,BIE Tongxuan,FU Yu. Application of digital collaborative design in coal mine construction project[J]. Shaanxi Coal,2023,42(5):199−204.
|
[14] |
孙再征. 基于Dassault 3DE的选煤厂BIM正向设计方法研究[J]. 煤炭工程,2020,52(7):45−48.
SUN Zaizheng. Top-down BIM design of coal preparation plant based on Dassault 3DE[J]. Coal Engineering,2020,52(7):45−48.
|
[15] |
孙再征. BIM技术在选煤厂设计中的应用[J]. 选煤技术,2020,48(3):70−73,77.
SUN Zaizheng. Application of the building information management (BIM) technology in design of coal preparation plant[J]. Coal Preparation Technology,2020,48(3):70−73,77.
|
[16] |
张建中,郭军. 智慧矿山工业互联网技术架构探讨[J]. 煤炭科学技术,2022,50(5):238−246.
ZHANG Jianzhong,GUO Jun. Discussion on industrial internet technology framework of smart mine[J]. Science and Technology,2022,50(5):238−246.
|
[17] |
陈浩泷,陈罕之,韩凯峰,等. 垂直领域大模型的定制化:理论基础与关键技术[J]. 数据采集与处理,2024,39(3):524−546.
CHEN Haolong,CHEN Hanzhi,HAN Kaifeng,et al. Domain-specific foundation-model customization:theoretical foundation and key technology[J]. Journal of Data Acquisition and Processing,2024,39(3):524−546.
|
[18] |
韩培强,冯智愚,王海,等. 煤矿数据治理特点及发展路径分析展望[J]. 智能矿山,2024,5(4):9−15.
HAN Peiqiang,FENG Zhiyu,WANG Hai,et al. Analysis and prospect of coal mine data governance characteristics and development path[J]. Journal of Intelligent Mine,2024,5(4):9−15.
|
[19] |
鞠佳杉. 采煤机液压系统数字孪生体构建与预测性维护方法研究[D]. 西安:西安科技大学,2022.
JU Jiashan. Research on digital twin construction and predictive maintenance method of shearer hydraulic system[D]. Xi’an:Xi’an University of Science and Technology,2022.
|
[20] |
刘新辉,袁雪,吕鹏辉,等. 选煤厂重介质分选工艺智能化改造及应用[J]. 煤炭加工与综合利用,2024(3):10−13,17.
LIU Xinhui,YUAN Xue,LV Penghui,et al. The intelligentization and application of the dense medium separation process in coal preparation plant[J]. Coal Processing & Comprehensive Utilization,2024(3):10−13,17.
|
[21] |
周长春,温智平,周脉强,等. 基于数据生命周期的煤泥浮选智能控制技术研究进展[J]. 洁净煤技术,2024,30(1):45−57.
ZHOU Changchun,WEN Zhiping,ZHOU Maiqiang,et al. Research progress and prospect of intelligent control technique in coal flotation based on the perspective of data life cycle[J]. Clean Coal Technology,2024,30(1):45−57.
|
[22] |
高佳萌,吕途,国玉琳. 工业互联网企业信息安全防护能力提升路径研究[J]. 青岛大学学报(自然科学版),2023,36(4):139−144.
GAO Jiameng,LYU Tu,GUO Yulin. Research on the improvement path of information security protection capability of industrial Internet enterprises[J]. Journal of Qingdao University (Natural Science Edition),2023,36(4):139−144.
|