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Photovoltaic roof and photovoltaic obstacle automatic identification algorithm

An automatic recognition and obstacle technology, applied in character and pattern recognition, computing, computer parts and other directions, can solve problems such as easy omission and time-consuming

Active Publication Date: 2019-04-12
远景能源(南京)软件技术有限公司 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the traditional method of scheme design, it is necessary to manually select the roof and related photovoltaic obstacles on the orthophoto, which is time-consuming and easy to miss.

Method used

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  • Photovoltaic roof and photovoltaic obstacle automatic identification algorithm
  • Photovoltaic roof and photovoltaic obstacle automatic identification algorithm

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Embodiment Construction

[0038] Such as figure 1 The schematic diagram of the automatic recognition algorithm for photovoltaic roofs and photovoltaic obstacles is shown, which specifically includes the following steps:

[0039] 1. Data collection and processing:

[0040] Based on a 3D geographic model of an actual target area, use automatic processing software (such as commercial software ContextCapture) to export a complete orthophoto map (each pixel contains the RGB information of the area) and a DSM map (Digital Surface Elevation Map, Digital Surface Model, each pixel contains corresponding height information). Both images have the same size, resolution, and top-left geographic location. Therefore, to find each pixel point P i (x i ,y i ) corresponding RGB value (r i , g i ,b i ) and elevation value z i . The position of each pixel corresponds to the actual geographic coordinate position. There is a fixed sampling distance d meters between the geographic locations of adjacent pixel point...

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Abstract

The invention relates to a photovoltaic roof and photovoltaic obstacle automatic identification algorithm. The method includes steps of by combining the information of the elevation image and the information of the orthographic projection image, locating a roof profile, within the contour of each roof identified by the image, finding points in a roof plane by adopting least square fitting and a seed filling algorithm, fitting to obtain a plane, solving a corresponding plane equation, correcting a roof contour range, identifying a full-image roof, searching and identifying obstacle informationin the roof on the basis of roof identification, and identifying various photovoltaic obstacles while automatically identifying the roof. The design work efficiency and the recognition precision are greatly improved, and the time and effort spent on manual operation are reduced.

Description

technical field [0001] The invention relates to a photovoltaic design technology, in particular to an algorithm for automatic recognition of photovoltaic roofs and photovoltaic obstacles based on orthophoto images and elevation information. Background technique [0002] At present, when the photovoltaic industry designs rooftop photovoltaic projects, the arrangement of photovoltaic modules needs to avoid photovoltaic obstacles on the roof. Photovoltaic obstacles include gas towers, parapets, exhaust equipment, air conditioner external units, water tanks and lighting belts, etc. There is a certain height difference between ordinary obstacles and the roof plane, while the lighting belt is required for roof light transmission, and there is no obvious height difference from the roof plane, but it can be distinguished visually. In the traditional method of scheme design, it is necessary to manually select the roof and related photovoltaic obstacles on the orthophoto, which is ti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V20/00G06V10/44G06F18/214
Inventor 胡燚杰郑天民张晨宋强徐宁江秀张勋祥
Owner 远景能源(南京)软件技术有限公司
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