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DUBIO: A Fully Automatic Drones Cloud Based Infrared Monitoring System for Large-Scale PV Plants

机译:DUBIO:大型光伏电站的基于无人机和云的全自动红外监控系统

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This paper introduces DUBIO, a cloud platform which analyzes the radiometric infrared videos uploaded by drones which patrol large PV plants. Thanks to its artificial vision algorithms, DUBIO does not require any human intervention in selecting and associating the framed PV modules to the corresponding ones in the topology of the plant. DUBIO implements an innovative diagnostic protocol, which evidences the behavior of the module independently from the environmental conditions, i.e., decontextualizes the overheating of each module from the external conditions. By this way, the data automatically computed and collected in a multimedia database provide the O&M technicians with significant information, useful also for studying the ageing trend of each module of the monitored plant. The system, which is currently under a massive test in several plants of Enel Green Power, will constitute a pay for use service cloud platform worldwide available to the O&M market, since the second quarter of 2018.
机译:本文介绍了DUBIO,这是一个云平台,可分析在大型光伏电站巡逻的无人机上传的辐射红外视频。得益于其人工视觉算法,DUBIO不需要任何人工干预即可选择框架式PV模块并将其与工厂拓扑中的相应模块相关联。 DUBIO实施了创新的诊断协议,该协议可独立于环境条件来证明模块的行为,即从外部条件中消除每个模块的过热。通过这种方式,自动计算并收集在多媒体数据库中的数据为运维技术人员提供了重要的信息,这对于研究受监视工厂的每个模块的老化趋势也很有用。该系统目前正在Enel Green Power的多家工厂进行大规模测试,自2018年第二季度以来,它将构成面向O&M市场的全球付费使用服务云平台。

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