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作 者:董红军[1] 马云宾[2] DONG Hongjun;MA Yunbin(PetroChina Pipeline Company;PetroChina Pipeline R&D Center)
机构地区:[1]中国石油管道公司 [2]中国石油管道科技研究中心
出 处:《油气储运》2020年第5期570-575,共6页Oil & Gas Storage and Transportation
基 金:中国石油天然气股份有限公司重大科技专项“智慧管网建设运行关键技术研究与应用”,2019E-2002。
摘 要:随着智能管道建设与区域化管理的推进,对输油气站场的智能化提出了更高要求。针对目前输油气站场以人工巡检为主,各监控系统相互独立的问题,设计了输油气站场智能巡检系统。通过三维建模技术,建立站场实景三维模型,将站场的视频实时监控画面拼接融合至三维模型,实现对站场全景的一张图管理。梳理站场巡检需求,开发视频智能识别算法,实现对站场不安全事件的智能识别;设置巡检路线制定、历史视频回溯等模块,实现对站场全景的自动巡检。将该系统应用于中俄东线天然气管道工程黑河首站,测试效果表明:该系统可根据巡检路线自动巡检,对典型威胁事件智能识别并报警,其应用提升了站场的智能化水平,为智能管道建设提供了技术支持。With the development of intelligent pipeline construction and regional management,higher requirement is put forward to intelligence of oil and gas stations.The intelligent inspection system for oil and gas station was designed to solve the problem that the current oil and gas stations were dominated by manual inspection and the monitoring systems were independent of each other.The 3D model of the real scene of the station was established by 3D modeling technology,and the video real-time monitoring images of the station were stitched and fused into the 3D model to panoramically monitor the oil and gas station in one picture.The intelligent video recognition algorithm was developed by combing the inspection requirements of the station,thus realizing the intelligent recognition of the unsafe events in the station.Modules such as route setting and historical video backtracking were set up to realize automatic inspection of station panorama.The system has been applied to Heihe Initial Station of China–Russia Eastern Gas Pipeline Project.The test results show that the system can be used to automatically inspect along the inspection route,and intelligently recognize and alarm typical threat events.The application of the system improves the intelligence level of the station and provides technical support for the construction of the intelligent pipelines.
分 类 号:TE88[石油与天然气工程—油气储运工程]
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