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基于计算机视觉的化工安监系统 被引量:1

COMPUTER VISION-BASED CHEMICAL SAFETY SUPERVISION SYSTEM
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摘要 化工企业在生产运营过程中存在各种安全风险,比如:罐区的充装作业、高危化学品的装卸、化工装置的维修等。近年来化工企业为了保障现场安全,装置内部署了较多的监控摄像头,对人员、装置、设备都进行了全方位的监控。随着人工智能以及计算机视觉技术的兴起,视频的智能分析已经成为一种新的安全监控手段,可以让企业的安全人员摆脱枯燥的基于肉眼的图像和视频监控:一方面可以并发监控多路视频提高了人员的监控的效率,降低人力成本;另一方面智能系统不存在人眼疲劳的问题,可以提高监控的精度。提出基于计算机视觉的化工安监系统,阐述了在人机融合的指导思想下,计算机视觉技术如何赋能企业化工安全监控的技术与方案。该文可为AI赋能化工,提升安全生产提供有效的参考。 Chemical enterprises encounter diverse safety risks during production and operation,including tank area filling,high-risk chemical loading/unloading,and chemical equipment maintenance.Recently,to enhance on-site safety,numerous surveillance cameras have been installed within facilities,comprehensively monitoring personnel,devices,and equipment.The advent of artificial intelligence and computer vision technology ushers in video intelligent analysis as a novel safety monitoring approach,which liberates security personnel from tedious manual video surveillance.It concurrently monitors multiple video channels,reducing labor costs and elevating monitoring efficiency.Moreover,devoid of human eye fatigue issues,it enhances monitoring precision.This paper proposes a computer vision-based chemical safety supervision system.Under the man-machine integration paradigm,it expounds how computer vision technology empowers chemical safety monitoring,offering a valuable reference for AI-driven enhancement of chemical industry safety production.
作者 张晨 高盛华 王朔 黄国杰 Zhang Chen;Gao Shenghua;Wang Shuo;Huang Guojie(Shanghai SECCO Petrochemical Company Limited,Shanghai 201507,China;School of Information Science and Technology,ShanghaiTech University,Shanghai 201210,China;AI Prime Company Limited,Shanghai 200093,China)
出处 《计算机应用与软件》 北大核心 2025年第5期72-77,163,共7页 Computer Applications and Software
关键词 智能化工工厂 计算机视觉 视频内容分析 人机融合 人工智能 Intelligent chemical plant Computer vision Video contents analysis Human in the loop Artificial intelligence
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