谢嘉成, 房舒凯, 王学文, 等. “人本智造与XR+”驱动的综采工作面人机协同智能化运行模式探索与实践[J]. 煤炭学报, 2023, 48(2): 1099-1114.
引用本文: 谢嘉成, 房舒凯, 王学文, 等. “人本智造与XR+”驱动的综采工作面人机协同智能化运行模式探索与实践[J]. 煤炭学报, 2023, 48(2): 1099-1114.
XIE Jiacheng, FANG Shukai, WANG Xuewen, et al. Exploration and practice of the human-machine collaborative intelligent operation mode of fully mechanized coal mining face driven by humanistic intelligent manufacturing and XR+ technology[J]. Journal of China Coal Society, 2023, 48(2): 1099-1114.
Citation: XIE Jiacheng, FANG Shukai, WANG Xuewen, et al. Exploration and practice of the human-machine collaborative intelligent operation mode of fully mechanized coal mining face driven by humanistic intelligent manufacturing and XR+ technology[J]. Journal of China Coal Society, 2023, 48(2): 1099-1114.

“人本智造与XR+”驱动的综采工作面人机协同智能化运行模式探索与实践

Exploration and practice of the human-machine collaborative intelligent operation mode of fully mechanized coal mining face driven by humanistic intelligent manufacturing and XR+ technology

  • 摘要: 煤矿开采当前仍然处于部分无人化的发展阶段,人仍然在综采系统中扮演着重要的角色。智能化综采工作面应该在当前智能化装备和技术的基础上,依靠人(包括巡检工、集控工和维护工)与设备环境的深度人机协作,最终达到安全高效运行的目标。因此,基于在“XR+”领域长期的实践,从“人本智造”的角度出发,对综采工作面人机协同智能化运行模式进行探索。首先对比分析井下3类工种与地面工种的工作环境,得出3个工种在未来如何提升到智能操作工的升级路径;提出了基于多功能平行系统的综采工作面多工种协同运行模式框架,搭建“人-机-环”深度融合的综采工作面全局虚拟场景,并以此为基础进行智能推演,对3工种之间以及和多功能虚拟平行系统的协同交互方式进行设计。接着对其中的一些关键技术,如参数化虚拟矿工模型、真实矿工与虚拟矿工的实时联动、巡检手势集设计和井下协同维护系统等进行研究;最后对多功能平行系统的多工种培训、巡检工虚拟操作、集控工人机优化、维护工协同运行和多工种协同进行了相关的测试,实现了3工种之间以及与多功能平行系统的实时交互;最终形成“全局细节兼掌控+机器智能推结果+多工种协同决策”的协同操作模式,共同完成高质量远程监视、干预、巡检和维护操作,提升工作面运行效率和可靠性。

     

    Abstract: Because the coal mining is still in the stage of partially unmanned operation, human factor still play an important role in a fully mechanized mining system. Based on the current intelligent equipment and technologies, the intelligent fully mechanized coal face should rely on the deep human-machine cooperation between human(including patrol workers, centralized control workers and maintenance workers),equipment and environment to achieve the goal of safe and efficient operation. Therefore, based on the authors' long-term practice in the ‘XR +' field, the intelligent operation mode of human-machine collaboration in a fully mechanized mining face from the perspective of ‘human-centered manufacturing' is explored. Firstly, the working environment of three types of underground jobs and ground jobs are compared and analyzed, and the path of how to upgrade them to intelligent operators in the future is obtained. The framework of multi-type cooperative operation mode of a fully mechanized mining face based on a multi-function parallel system is put forward, and the global virtual scene with a deep fusion of ‘human, machine and environment' is established. The intelligent deduction is carried out, and the cooperative interaction between three types of work and the multi-function virtual parallel system is designed. Then some key technologies are studied, such as parametric virtual miner model, real-time linkage between real miners and virtual miners, inspection gesture set design and underground collaborative maintenance system and so on. Through the multi-functional parallel system, the relevant tests had been carried out for multi-type training, virtual operation of inspection workers, optimization of centralized control workers, coordinated operation of maintenance workers and multi-type collaborative operation. The real-time interaction between three types of work and the multi-functional parallel system is realized. Finally, a collaborative operation mode of ‘global details and control, push results by intelligent machine and multi-type collaborative decision-making' is formed to jointly conduct high-quality remote monitoring, intervention, inspection and maintenance operations for improving the efficiency and reliability of a fully mechanized mining face.

     

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