煤矿安全2023，Vol.54Issue(12)：220-226,7.DOI:10.13347/j.cnki.mkaq.2023.12.027
全矿井人工智能(AI)监管平台关键技术
Key technologies of a full mine artificial intelligence(AI)supervision platform
摘要
Abstract
Based on video perception,using networks and information technology as media,and supported by artificial intelligence and big data technology,a full mine artificial intelligence(AI)supervision platform is constructed,and the overall architecture and core scenarios of the platform is introduced;based on the design of the entire platform,key technologies such as low sample dataset enhancement technology,model training technology,data reasoning and decision-making,and microservice backend development technology were discussed.The on-site application shows that the deep learning algorithm of the entire mine artificial intelligence(AI)supervision platform has an accuracy rate of over 90%in mining image classification,and an accuracy rate of over 80%in ob-ject detection.关键词
煤矿安全监管平台/人工智能/视觉识别/微服务/深度学习算法Key words
coal mine safety supervision platform/artificial intelligence/visual recognition/micro services/deep learning algorithm分类
矿业与冶金引用本文复制引用
孙晓东..全矿井人工智能(AI)监管平台关键技术[J].煤矿安全,2023,54(12):220-226,7.基金项目
中煤科工集团沈阳研究院有限公司重点资助项目(SYZD-2023-03) （SYZD-2023-03）
