科技创新与应用2025，Vol.15Issue(31)：14-18,5.DOI:10.19981/j.CN23-1581/G3.2025.31.003
视觉AI在煤矿机电设备有效生产系统中的研究与应用
赵在兰1
作者信息
- 1. 国能神东煤炭集团有限责任公司,陕西 榆林 719315
- 折叠
摘要
Abstract
This research adopts the YOLOv8 deep learning framework to study the dynamic recognition technology and application scenarios of the operating status and coal volume of coal mine scraper machines and belt conveyors,and builds a Visual AI model using pictures,videos and cameras as multiple data fusion analysis,forming a continuous analysis algorithm based on the operating data of electromechanical equipment,and developing an effective electromechanical equipment production system that calculates dead time and coal production time in sections.AI identification technology is used to analyze the effective production of electromechanical equipment and dynamically analyze the operating rate of equipment,which provides good conditions for ensuring the effective operation of coal mine electromechanical equipment,and provides a strong scientific basis for production scheduling and command.关键词
视觉AI/有效生产/刮板机/胶带机/煤矿Key words
Visual AI/effective production/scraper machine/belt conveyor/coal mine分类
矿业与冶金引用本文复制引用
赵在兰..视觉AI在煤矿机电设备有效生产系统中的研究与应用[J].科技创新与应用,2025,15(31):14-18,5.
