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Coal Geology & Exploration

Abstract

In response to the problems of high labor intensity and great safety risk of drilling rig under the complex construction environment, a set of remote monitoring system for automatic drilling rig of coal mine was developed using the electronic circuit, measurement sensing, remote control, video monitoring and big data technologies. The system, based on ZDY4500LFK coal mine drilling rig, has implemented the three control modes: in-line-of-sight control, underground centralized control and ground remote monitoring. Besides, a cloud automatic drilling rig management and control platform was established. Specifically, the in-line-of-sight monitoring is used to realize the accurate operation of drilling rig in the downhole visual range by means of telecontroller, controller and supporting sensors. The underground centralized control mode has the centralized control cabin, flameproof and intrinsically safe computer, intrinsically safe display, flameproof and intrinsically safe switch, intrinsically safe camera and intrinsically safe control box integrated to realize the remote monitoring of drilling rigin underground dangerous drilling field. The ground monitoring mode provides strong support to the ground remote monitoring of automatic drilling rig with the ground control console, ground server, display, switch, AI intelligent analysis box, etc.. In addition, the cloud automated rig management and control platform is mainly used for the data statistics and analysis of the operation and construction status of the automatic drilling rig group. The remote control system developed is applicable to the drilling rigs such as ZDY4500LFK and ZDY6500LDK for the stable operation in various control modes, including in-line-of-sight control, underground centralized control and ground remote monitoring. The results of field test and testing show that: (1) The in-line-of-sight control system has the telecontroller equipped with abundant buttons, the controller designed with rich interfaces such as CAN and RS485, capable of being rapidly and conveniently upgraded by mobile phone. Hence, it can be widely used in the electronic control upgrade and transformation of the drilling rig. (2) The remote centralized control system can achieve the remote control at a distance of 10km, with the control response time less than 200 ms. In particular, the video and parameter acquisition data respond in time without delay, which could meet the needs of remote monitoring of underground drilling rigs. (3) The ground remote monitoring system could realize the remote monitoring of the ground drilling rig and has the AI identification function, which could realize the early warning of personnel intrusion and shutdown. (4) The automatic drilling rig management and control platform has been tested by function, pressure, parallel and access, with normal function, timely response and no system crash. Thus, it can be used for the statistical analysis of data and working conditions of the automatic drilling rig. Generally, the application of the control system not only ensures the safety of drilling construction, but also provides a reference for the realization of less human, intelligence and informatization of coal mine drilling rig.

Keywords

automatic drilling rig, telecontrol, remote control, ground monitoring, centralized control, coal mine

DOI

10.12363/issn.1001-1986.23.09.0592

Reference

[1] 姚宁平，王毅，姚亚峰，等. 我国煤矿井下复杂地质条件下钻探技术与装备进展[J]. 煤田地质与勘探，2020，48(2)：1−7.

YAO Ningping，WANG Yi，YAO Yafeng，et al. Progress of drilling technologies and equipments for complicated geological conditions in underground coal mines in China[J]. Coal Geology & Exploration，2020，48(2)：1−7.

[2] 石智军，姚克，姚宁平，等. 我国煤矿井下坑道钻探技术装备40年发展与展望[J]. 煤炭科学技术，2020，48(4)：1−34.

SHI Zhijun，YAO Ke，YAO Ningping，et al. 40 years of development and prospect on underground coal mine tunnel drilling technology and equipment in China[J]. Coal Science and Technology，2020，48(4)：1−34.

[3] 田宏亮，陈建，张杰，等. 淮南矿区软煤气动定向钻进技术与装备研究及应用[J]. 煤田地质与勘探，2022，50(10)：151−158.

TIAN Hongliang，CHEN Jian，ZHANG Jie，et al. Air-driven directional drilling technology and equipment in soft coal seam of Huainan mining area[J]. Coal Geology & Exploration，2022，50(10)：151−158.

[4] 张始斋，王庆文. ZYWL-4000SY型遥控钻机设计及关键技术研究[J]. 煤炭科学技术，2021，49(3)：129−134.

ZHANG Shizhai，WANG Qingwen. Design and key technology research of ZYWL-4000SY remote control drilling rig[J]. Coal Science and Technology，2021，49(3)：129−134.

[5] 董洪波，姚宁平，马斌，等. 煤矿井下坑道钻机电控自动化技术研究[J]. 煤田地质与勘探，2020，48(3)：219−224.

DONG Hongbo，YAO Ningping，MA Bin，et al. Research on electronically controlled automation technology of underground drilling rig for coal mine[J]. Coal Geology & Exploration，2020，48(3)：219−224.

[6] 董洪波，范强，李坤，等. ZDY4500LFK全自动钻机开发与应用[J]. 煤田地质与勘探，2022，50(1)：66−71.

DONG Hongbo，FAN Qiang，LI Kun，et al. Development and application of ZDY4500LFK full automatic drilling rig[J]. Coal Geology & Exploration，2022，50(1)：66−71.

[7] 王忠宾，司垒，魏东，等. 煤矿防冲钻孔机器人全自主钻进系统关键技术[J]. 煤炭学报，2024，49(2)：1240−1258.

WANG Zhongbin，SI Lei，WEI Dong，et al. Key technologies of fully autonomous drilling system for coal mine anti-impact drilling robot[J]. Journal of China Coal Society，2024，49(2)：1240−1258.

[8] 杨林. 煤矿井下瓦斯抽采钻孔机器人研究现状及关键技术[J]. 煤矿机械，2018，39(8)：60−62.

YANG Lin. Research status and key technology of underground gas drainage drilling robot in coal mine[J]. Coal Mine Machinery，2018，39(8)：60−62.

[9] 颜纯文. 国外主要钻机制造商的经营情况分析[J]. 地质装备，2009，10(4)：20−23.

YAN Chunwen. The operating analysis of main drilling machine manufacturers overseas[J]. Equipment for Geotechnical Engineering，2009，10(4)：20−23.

[10] 张金昌. 地质钻探技术与装备21世纪新进展[J]. 探矿工程(岩土钻掘工程)，2016，43(4)：10−17.

ZHANG Jinchang. New development of the 21st century geological drilling technology and equipment[J]. Exploration Engineering (Rock & Soil Drilling and Tunneling)，2016，43(4)：10−17.

[11] 王国法，杜毅博. 煤矿智能化标准体系框架与建设思路[J]. 煤炭科学技术，2020，48(1)：1−9.

WANG Guofa，DU Yibo. Coal mine intelligent standard system framework and construction ideas[J]. Coal Science and Technology，2020，48(1)：1−9.

[12] 王清峰，陈航，周涛. 煤矿井下自动化钻进技术及装备的发展历程与展望[J]. 矿业安全与环保，2022，49(4)：45−50.

WANG Qingfeng，CHEN Hang，ZHOU Tao. Development history and prospect of automatic drilling technology and equipment in coal mine[J]. Mining Safety & Environmental Protection，2022，49(4)：45−50.

[13] 王天龙，马斌，董洪波. 煤矿用自动化钻机远程监测系统研制[J]. 煤田地质与勘探，2022，50(1)：80−85.

WANG Tianlong，MA Bin，DONG Hongbo. Development of a remote monitoring system for coal mine automatic drilling rigs[J]. Coal Geology & Exploration，2022，50(1)：80−85.

[14] 王清峰，辛德忠，陈航. 煤矿井下自动化钻探技术概况与智能化发展前瞻[J]. 智能矿山，2020，1(1)：71−77.

WANG Qingfeng，XIN Dezhong，CHEN Hang. Overview of automatic drilling technology in underground coal mine and prospect of intelligent development[J]. Journal of Intelligent Mine，2020，1(1)：71−77.

[15] 王清峰，王兴，肖玉清. 煤矿用自动钻机快速组网技术研究[J]. 矿业安全与环保，2022，49(5)：1−5.

WANG Qingfeng，WANG Xing，XIAO Yuqing. Study on fast networking technology of automatic drilling rig in coal mine[J]. Mining Safety & Environmental Protection，2022，49(5)：1−5.

[16] 廖姜男，姜楠，宋海涛，等. 基于嵌入式技术的全液压钻机参数监测软件设计[J]. 煤田地质与勘探，2019，47(2)：13−19.

LIAO Jiangnan，JIANG Nan，SONG Haitao，et al. Design of parameter monitoring software for full hydraulic drilling rig based on embedded technology[J]. Coal Geology & Exploration，2019，47(2)：13−19.

[17] 唐惠玲，徐虎，翁文威，等. 测试参数可视化设置的TFTLCD电性能检测系统设计[J]. 液晶与显示，2012，27(6)：856−860.

TANG Huiling，XU Hu，WENG Wenwei，et al. Design of electric performance testing system for TFTLCD with visual parameter configuration[J]. Chinese Journal of Liquid Crystals and Displays，2012，27(6)：856−860.

[18] 马小平，吴新忠，任子晖. 基于移动互联的煤矿通风机远程监控技术[J]. 工矿自动化，2016，42(3)：7−12.

MA Xiaoping，WU Xinzhong，REN Zihui. Ventilator remote monitoring technology of coal mine based on mobile Internet[J]. Industry and Mine Automation，2016，42(3)：7−12.

[19] 罗克，包建军，蒋华，等. 煤矿井下Android可视语音通信终端设计[J]. 工矿自动化，2013，39(3)：13−16.

LUO Ke，BAO Jianjun，JIANG Hua，et al. Design of Android visual voice communication terminal of coal mine underground[J]. Industry and Mine Automation，2013，39(3)：13−16.

[20] 刘孝军，王飞. 基于AI的煤矿视频智能分析技术[J]. 煤炭科学技术，2022，50(增刊2)：260-264.

LIU Xiaojun，WANG Fei. Intelligent analysis technology of coal mine video based on AI[J]. Coal Science and Technology，2022，50(Sup.2)：260-264.

[21] 程德强，钱建生，郭星歌，等. 煤矿安全生产视频AI识别关键技术研究综述[J]. 煤炭科学技术，2023，51(2)：349−365.

CHENG Deqiang，QIAN Jiansheng，GUO Xingge，et al. Review on key technologies of AI recognition for videos in coal mine[J]. Coal Science and Technology，2023，51(2)：349−365.

[22] 文胜，丁华，李娟莉，等. 基于Web的矿井提升机知识管理系统[J]. 工矿自动化，2016，42(9)：77−79.

WEN Sheng，DING Hua，LI Juanli，et al. Mine hoist knowledge management system based on Web[J]. Industry and Mine Automation，2016，42(9)：77−79.

[23] 李先懿，郭正光. 基于Websocket的车联网报警推送系统[J]. 计算机系统应用，2020，29(3)：127−131.

LI Xianyi，GUO Zhengguang. Telematics alarm pushing system based on websocket protocal[J]. Computer Systems & Applications，2020，29(3)：127−131.

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