Method for identifying and positioning photovoltaic string in map

A positioning method and photovoltaic group technology, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve problems such as failure of accurate positioning of faulty components, and achieve the effect of improving accuracy and speed, and strengthening generalization ability.

Inactive Publication Date: 2021-10-15
北京思万智瞰科技有限公司
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Problems solved by technology

[0005] For this reason, the embodiment of the present invention provides a photovoltaic string identification and po

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  • Method for identifying and positioning photovoltaic string in map
  • Method for identifying and positioning photovoltaic string in map
  • Method for identifying and positioning photovoltaic string in map

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[0047] In the following, embodiments of the present invention will be described below, and those skilled in the art can easily understand other advantages and efficacy of the present invention, apparently, as described in the present invention. , Not all of the embodiments. Based on the embodiments of the present invention, there are all other embodiments obtained without making creative labor without making creative labor premises.

[0048] Combine figure 1 As shown, the specific embodiment of the present invention discloses a photovoltaic set of photovoltaic strings and a positioning method in a map, which includes the following steps:

[0049] S1, obtain the map image of the photovoltaic power station to collect and mapping the drone, sequentially overlapping the image according to a certain size, and obtain a series of images;

[0050] S2, identify the neural network model according to the preset group string, and the map image of the cutting photovoltaic power station is extr...

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Abstract

The invention discloses a method for identifying and positioning a photovoltaic string in a map, which comprises the following steps of: acquiring a photovoltaic power station map image acquired and mapped by an unmanned aerial vehicle, and sequentially cutting the map image in an overlapped manner according to a certain size to obtain a series of images; according to a preset string recognition neural network model, feature extraction is carried out on the cut map images of the photovoltaic power station, and position coordinates of a string in each image are predicted and acquired; calculating position coordinates of the string in the complete map image; calculating the intersection-union ratio of the recognition result of the whole image, judging whether the obtained intersection-union ratio is larger than a threshold value or not, and when the obtained intersection-union ratio is larger than the threshold value, reserving a recognition frame with a large area; and displaying the final result through the server, and modifying the result through the server. The embodiment of the invention provides the method for identifying and positioning a photovoltaic string in a map, so as to solve the problem that a fault component cannot be accurately positioned in the prior art.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of operation and maintenance of solar cell power generation, and in particular to a method for identifying and locating photovoltaic strings in a map. Background technique [0002] During the whole life cycle of photovoltaic power plant operation, it is unavoidable to block the components caused by large particles of dust, bird droppings, leaves, etc. The local shadows caused by the blocking will not only reduce the power generation of the components, but also increase the local temperature of the components, resulting in hot spot effect . The generation of hot spots will not only affect the power generation efficiency of the photovoltaic system, but also cause permanent damage to the photovoltaic modules and bring fire hazards to the power station. According to statistics, a hot spot that occupies about 1 / 60 of the battery area will affect 1 / 3 of the power generation of the entire pho...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06K9/34G06N3/04G06N3/08
CPCG06N3/08G06N3/045
Inventor 沙勃瀚王恩浦
Owner 北京思万智瞰科技有限公司
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