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作 者:槐利 Huai Li(CCTEG Chongqing Research Institute,Chongqing 400039,China)
机构地区:[1]中煤科工集团重庆研究院有限公司,重庆400039
出 处:《能源与环保》2025年第1期175-180,共6页CHINA ENERGY AND ENVIRONMENTAL PROTECTION
基 金:重庆市自然科学基金面上资助项目(cstc2021jcyj-msxmX1184)。
摘 要:为应对煤矿行业终端和装备间协同性差、数据格式不统一造成的问题,提出将矿鸿操作系统应用于液压支架的电液控制中,设计了相应的系统架构,以实现所有设备之间的直接互联互通。同时,考虑到深度学习算法在矿鸿系统中的受到模型体积限制,创新性地设计了一种利用加权动态进行通道剪枝的方法进行模型压缩,进一步改善终端部署过程。结果表明,应用该系统后,综采工作面的自动化率超过了88%,工作效率提高了近3倍,实现了煤炭作业多场景的万物互联,提升了智能化水平,为矿鸿系统的应用推广提供了参考。To address the problems caused by poor collaboration and inconsistent data formats between terminals and equipment in the coal mining industry,it was proposed to apply the Kuanghong operating system to the electro-hydraulic control of hydraulic supports,and a corresponding system architecture was designed to achieve direct interconnection and interoperability between all equipments.At the same time,considering the limitations of model size on deep learning algorithms in the mining system,an innovative method using weighted dynamic channel pruning was designed for model compression,further improving the terminal deployment process.The results showed that after applying the system,the automation rate of the fully-mechanized mining face exceeded 88%,the work efficiency increased by nearly three times,and the interconnection of all things in multiple scenarios of coal operations was achieved,which improved the level of intelligence and provided a reference for the application and promotion of the Kuanghong system.
分 类 号:TP355.4[自动化与计算机技术—计算机系统结构]
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