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

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.