摘要
目前高瓦斯综放工作面的智能化放煤面临着许多难题,主要包括煤矸识别精度较差、煤流与瓦斯浓度的控制不够全面、跟机工艺设计研发繁琐、控制系统响应较慢。为解决这些问题,研发了基于5G通信的云边端协同智能放煤控制系统,包括5G网络、云端服务器、边缘处理器、终端执行设备等,系统具有较高的数据传输速度、控制响应速度和数据处理能力,在对综放开采放煤工艺参数和智能放煤工艺流程分析的基础上,详细阐述了煤矸识别技术、大块煤识别与煤流负荷平衡技术、瓦斯安全联动控制技术、跟机放煤数字孪生技术四大智能放煤关键技术。在保德煤矿81309综放工作面进行应用试验,采用智能综放技术后,顶煤采出率由86%上升到93%,煤炭含矸率由21%下降到15%,总的生产效率提高了10%,放煤作业人员由原来的3~4人减少为1~2人。开发的基于5G通信的云边端协同智能放煤控制系统及其关键技术也可以推广到其他综放工作面,对煤矿减人增效和安全高效开采具有重要价值。
At present,intelligent coal caving in high gas fully mechanized top coal caving face is facing many problems,mainly including poor recognition accuracy of coal gangue,incomplete control research on coal flow and gas concentration,cumbersome design and development of follow-up process,and slow response of control system.In order to solve these problems,this paper developed a cloud side collaborative intelligent coal caving control system based on 5G communication.The system includes 5G network,cloud server,edge processor,terminal execution equipment,etc.It has a high data transmission speed,control response speed and data processing capability.Based on the analysis of fully mechanized coal caving process parameters and intelligent coal caving process flow,elaborates the four key technologies of intelligent coal caving the coal gangue identification technology,big block coal identification and coal flow load balance technology,gas safety linkage control technology,and digital twin technology of coal caving following machine.The application test was carried out in Baode 81309 fully mechanized top coal caving face.After the intelligent fully mechanized top coal caving technology was adopted,the top coal recovery rate increased from 86%to 93%,the coal gangue rate decreased from 21%to 15%,the total production efficiency increased by 10%,and the number of coal caving operators decreased from 3 to 4 to 1 to 2.The cloud edge collaborative intelligent coal caving control system based on 5G communication developed in this paper and its key technologies can also be extended to other fully mechanized coal caving faces,which is of great value for reducing personnel and increasing efficiency and safe and efficient mining of coal mines.
作者
崔耀
吴景红
叶壮
张森浪
CUI Yao;WU Jinghong;YE Zhuang;ZHANG Senlang(Beijing Tianma Intelligent Control Technology Co.,Ltd.,Beijing 101399,China;Shenhua Shendong Coal Group Co.,Ltd.,Ordos 017209,China)
出处
《煤炭科学技术》
EI
CAS
CSCD
北大核心
2023年第10期252-265,共14页
Coal Science and Technology
基金
神东保德“综采放顶煤智能化控制技术研究”资助项目(00000050048)。
关键词
5G
云边端协同
煤矸识别
煤流负荷平衡
瓦斯安全联动
数字孪生
5G
cloud-side-end collaboration
coal gangue identification
coal flow load balance
gas safety linkage
digital twins