基于国产可控CPU架构的煤矿智能化平台搭建  

Construction of Coal Mine Intelligent Platform Based on Domestic Controllable CPU Architecture

作　　者：赵安新[1] 杨宏魁 黎梁 张晨阳 杨彪 翟勃 肖剑 ZHAO An-xin;YANG Hong-kui;LI Liang;ZHANG Chen-yang;YANG Biao;ZHAI Bo;XIAO Jian(School of Communication and Information Engineering,Xi'an University of Science and Technology,Xi'an 710054,China;Xi'an Heavy Industry Weiken Electric Co.,Ltd.,Shaanxi Xi'an 710032,China;Shandong Energy Group Northwest Mining Co.,Ltd.,Xi'an 710021,China;CEC Xingyuan Technology Co.,Ltd.,Yan'an 716000,China)

机构地区：[1]西安科技大学通信与信息工程学院,陕西西安710054 [2]西安重装伟肯电气有限责任公司,陕西西安710032 [3]山东能源集团西北矿业有限公司,陕西西安710021 [4]中电星原科技有限公司,陕西延安716000

出　　处：《软件导刊》2022年第10期53-57,共5页Software Guide

基　　金：陕西省重点研发计划项目(2022GY-152,2021SF-479)。

摘　　要：在现代信息化技术支持下,煤矿企业逐渐向智能化、数字化方向转型。采用国产银河麒麟操作系统搭建基于国产自主可控CPU架构的煤矿智能化软硬件平台,该平台可运行Pytorch、keras等深度学习框架以高效稳定地完成目标检测、图形分类、管网控制等任务,实现人员煤矿作业时的不安全行为检测、通风质量检测及排水量实时检测目标,为传统煤矿企业走向智能化提供建设性策略支持。With the support of modern information technology,coal mining enterprises are gradually transforming to the direction of intelligence and digitalization. The domestic Galaxy Kylin operating system is used to build an intelligent software and hardware platform for coal mines based on the domestic self-controllable CPU architecture,The platform can run Pytorch Keras and other deep learning frameworks to efficiently and stably complete tasks such as target detection,graphical classification,and pipe network control to achieve unsafe behavior detection,ventilation quality detection and real-time drainage detection during personnel coal mine operations,providing constructive strategic support for traditional coal mining enterprises to move towards intelligence.

关 键 词：智能化煤矿 国产CPU 软硬件平台 深度学习 目标检测 智慧矿山 

分 类 号：TD2[矿业工程—矿井建设]