一种基于偏振测量的可现场部署的非中断式镜面积污检测方法
A Polarimetry-based Field-deployable Non-interruptive Mirror Soiling Detection Method
AI总结：
针对聚光太阳能电站定日镜积污检测现有方法的诸多缺陷，提出基于偏振成像的PIMS检测法，可搭载无人机实现非中断式大面积快速检测，适配多种太阳能电站场景。
摘要：
聚光太阳能（CSP）电站中定日镜镜面的积污程度是显著影响光学效率的关键因素之一。当前主流的定日镜积污程度监测方法仍面临诸多挑战，包括检测速度慢、操作耗费人力、分辨率与精度受限，或会干扰太阳能电站的运行。\n我们提出了一种基于偏振成像的快速、低成本且非侵入式的镜面积污检测方法，称为基于偏振成像的镜面积污检测法（Polarimetric Imaging-based Mirror Soiling, PIMS）。紧凑型PIMS设备设计为可与无人机（UAVs）集成，能够对定日镜进行快速大面积评估，实现高效积污检测。该方法基于米氏散射理论与蒙特卡洛模拟，利用线偏振度（DoLP）与表面积污程度之间的相关性进行检测。\nPIMS方法的现场部署仅需极少的设备安装工作，且基于无人机的运行模式可在不中断电站活动的前提下完成积污检测。该方法有望应用于各类聚光太阳能（CSP）电站的镜面积污检测，还可进一步适配其他类型的太阳能电站，例如抛物面槽式系统。
英文摘要：
The soiling level of heliostat mirrors in Concentrated Solar Power (CSP) fields is one of the key factors that significantly influences optical efficiency. State-of-the-art methods of monitoring heliostats soiling levels still face various challenges, including slow speed, labor-intensive operations, resolution and accuracy constraints or interruptions to solar field operations. We present a rapid, cost-effective, and non-intrusive method for mirror soiling detection based on polarimetric imaging, referred to as Polarimetric Imaging-based Mirror Soiling (PIMS). The compact PIMS device is designed for integration with unmanned aerial vehicles (UAVs), enabling rapid, large-area assessments of heliostat mirrors for efficient soiling detection. Our method utilizes the correlation between the Degree of Linear Polarization (DoLP) and surface soiling level based on Mie scattering theory and Monte Carlo simulations. Field deployment of the PIMS method requires minimal device installation, and its UAV-based operation allows for soiling detection without interrupting plant activities. The PIMS method holds the potential for mirror soiling detection across various concentrated solar power (CSP) plants and can be further adapted for other types of solar fields, such as parabolic trough systems.
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