US 12,413,178 B2
Rotation system and controller for photovoltaic tracker
Song Wan, Shanghai (CN); Qinwei Liu, Shenzhen (CN); Wuben Sun, Shanghai (CN); Yanzhong Zhang, Shanghai (CN); and Kai Liu, Shanghai (CN)
Assigned to HUAWEI DIGITAL POWER TECHNOLOGIES CO., LTD., Shenzhen (CN)
Filed by Huawei Digital Power Technologies Co., Ltd., Shenzhen (CN)
Filed on Jan. 26, 2023, as Appl. No. 18/160,163.
Application 18/160,163 is a continuation of application No. PCT/CN2021/093873, filed on May 14, 2021.
Claims priority of application No. 202010733514.3 (CN), filed on Jul. 27, 2020.
Prior Publication US 2023/0170842 A1, Jun. 1, 2023
Int. Cl. H02S 20/32 (2014.01); F24S 30/425 (2018.01); F24S 40/20 (2018.01); G05D 3/10 (2006.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); H02S 40/10 (2014.01); H02S 40/12 (2014.01); H02S 40/30 (2014.01)
CPC H02S 20/32 (2014.12) [F24S 30/425 (2018.05); F24S 40/20 (2018.05); G05D 3/105 (2013.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); H02S 40/10 (2014.12); H02S 40/12 (2014.12); H02S 40/30 (2014.12)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
obtaining image data related to a photovoltaic panel or environment around the photovoltaic panel, the photovoltaic panel being mounted on a photovoltaic tracker, and rotatable with the photovoltaic tracker, wherein obtaining the image data comprises:
obtaining daytime images and nighttime images;
selecting first images from the daytime images as a first verification set and using remaining daytime images as a first training set;
selecting second images from the nighttime images as a second verification set and using remaining nighttime images as a second training set;
training a first neural network using the first training set;
training a second neural network using the second training set; and
classifying a received image as a daytime image or nighttime image and processing the received image using the first neural network or the second neural network based on the classification; and
generating, based on a category corresponding to the processed image from the first neural network or the second neural network, an instruction of a plurality of instructions to control rotation of the photovoltaic tracker, to move the photovoltaic panel in a corresponding manner, the plurality of instructions corresponding to different image data categories.