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Photovoltaic panel abnormal target detection system and method based on satellite image

A satellite image and abnormal target technology, applied in the field of abnormal detection of photovoltaic panels, can solve the problems of poor standardization of drone use, high operational technical requirements, and low image utilization rate, achieving easy acquisition, reduced workload, and high accuracy Effect

Pending Publication Date: 2021-09-21
平衡机器科技(深圳)有限公司
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Problems solved by technology

However, the use of drones in the current inspection process is poorly standardized, requiring high operational technology and low operational reliability.
When using drones to inspect photovoltaic panels, the image utilization rate is low, time-consuming, and the inspection effect is poor

Method used

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  • Photovoltaic panel abnormal target detection system and method based on satellite image

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Embodiment Construction

[0049] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0050] Such as figure 1with figure 2 The photovoltaic panel anomaly target detection system based on satellite images includes the following components:

[0051] 1. Data collection unit: used to collect satellite image (resolution, band) data, Sunflower No. 8 cloud image data, and real-time temperature data of photovoltaic panels on site.

[0052] 2. Analysis and management unit: data preprocessing module; photovoltaic panel extraction module; photovoltaic panel abnormal point determination module; cloud detection module; photovoltaic panel abnormal judgment module; abnormal target positioning module.

[0053] The detection method comprises the following steps:

[0054] S1. Data collection unit: This unit includes the collection of satellite images, the collection of Sunflower-8 satellite cloud images and the real-time temperature...

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Abstract

The invention discloses a photovoltaic panel abnormal target detection system based on a satellite image. The system comprises a data collection unit, a data preprocessing module, a photovoltaic panel extraction module, a photovoltaic panel abnormal point determination module, a cloud cluster detection module, a photovoltaic panel abnormity judgment module, and an abnormal target positioning module. The detection method comprises the following steps: preprocessing a collected satellite image; extracting the position of the photovoltaic panel; extracting a photovoltaic panel detection frame area detected in the module to perform temperature inversion; judging an abnormal point photovoltaic panel area which does not contain cloud; storing the geographic position coordinates of the photovoltaic panel area with the abnormal points; and positioning the positions of the large component and the group string where the abnormal target is located according to the geographic position coordinates, and realizing the positioning of the abnormal photovoltaic panel target. According to the invention, the spatial features of the image data are utilized to classify and judge the abnormal reasons, the real-time temperature of the photovoltaic panel of the station is combined, the reasons of the photovoltaic panel are judged again, and the accuracy is higher.

Description

technical field [0001] The invention relates to the field of abnormal detection of photovoltaic panels, in particular to a system and method for detecting abnormal targets of photovoltaic panels based on satellite images. Background technique [0002] Photovoltaic panels, also called solar panels, are devices that directly or indirectly convert solar radiation energy into electrical energy through photoelectric or photochemical effects by absorbing sunlight. Solar panels are the core components of solar power generation. The inevitable defects in the production and installation process will seriously affect the power generation efficiency of the panels. Therefore, the defect detection of solar panels is very important. When the photovoltaic panel is working, if it cannot work due to shading, the temperature of the covered part is much higher than that of the non-covered part, which often leads to overheating and burns out to produce dark spots. In addition, the cracks in th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/88G01J5/00G06K9/46G06T5/00G06T7/13G06T7/136
CPCG01N21/8851G01J5/0066G06T7/13G06T7/136G01N2021/8887G06T2207/10032G06T5/80
Inventor 李君吕新杰沈焰姜峥超
Owner 平衡机器科技(深圳)有限公司
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