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Method for calculating carbon reduction amount of building roof photovoltaic reconstructable area by using high-resolution remote sensing image

A technology for remote sensing images and buildings, applied in the fields of photovoltaic power generation, space-time remote sensing, and semantic segmentation, it can solve the problem that the roof of buildings has not been effectively used, and achieve the effect of improving accuracy.

Pending Publication Date: 2022-04-01
BEIJING UNIV OF TECH
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Problems solved by technology

However, the distributed solar photovoltaic power generation system is in its infancy, and many building roofs have not been effectively utilized.

Method used

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  • Method for calculating carbon reduction amount of building roof photovoltaic reconstructable area by using high-resolution remote sensing image
  • Method for calculating carbon reduction amount of building roof photovoltaic reconstructable area by using high-resolution remote sensing image
  • Method for calculating carbon reduction amount of building roof photovoltaic reconstructable area by using high-resolution remote sensing image

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Embodiment Construction

[0055] In order to enable those skilled in the art to better understand the solutions of the embodiments of the present invention, the embodiments of the present invention will be further described in detail below in conjunction with the drawings and implementations.

[0056] Such as figure 1 , figure 2 Shown, the present invention comprises the following steps:

[0057] 1. Data storage and preprocessing: To store GF-2 remote sensing data, centralized high-performance computing facilities can be used, high-performance servers, high-speed networks and high-speed storage device clusters can be used to physically store high-resolution remote sensing data, or distributed In the cluster mode, the distributed computing environment and storage structure are used to physically store the high-resolution remote sensing data of buildings. The steps of data preprocessing include: artificial roof feature labeling, geographic correction, image cutting, and image filtering;

[0058] Labe...

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Abstract

The invention discloses a method for calculating the carbon reduction of a photovoltaic reconstructable area of a regional building roof by using a high-resolution remote sensing image, which comprises the following steps of: extracting a building vector diagram through a GF-2 remote sensing image, performing position registration, identifying the registered image by using a DeepLabv3 + network, and then calculating the area of a flat roof and an inclined roof based on an identification result. Building roof parameters, roof photovoltaic parameters and solar radiation parameters are used for modeling and calculating the photovoltaic capacity of the reconstructable roof, and finally a reconstructable roof photovoltaic carbon reduction model is built by combining standard coal consumption, carbon dioxide emission factors of standard coal and the photovoltaic capacity of the reconstructable roof. By means of the method, the carbon reduction amount of the photovoltaic reconstructable area of the building roof can be calculated, the photovoltaic developable capacity and the energy-saving carbon reduction amount are effectively evaluated, the roof photovoltaic power generation potential is predicted, and evaluation of the roof photovoltaic carbon reduction amount under the target of carbon reaching peak and carbon neutralization is achieved.

Description

technical field [0001] The invention relates to space-time remote sensing, photovoltaic power generation, and semantic segmentation technologies, and in particular to a method for calculating carbon reduction in photovoltaic retrofittable areas on roofs of buildings by using high-resolution remote sensing images. Background technique [0002] Climate change is a global problem facing mankind. With the emission of carbon dioxide in various countries, greenhouse gases have soared, posing a threat to living systems. Energy structure adjustment is the core task of promoting carbon neutrality. The key to energy structure adjustment is to reduce the consumption of fossil energy resources and vigorously develop new energy and renewable resources. direction of renewable energy. Solar photovoltaic power generation systems can be divided into centralized and distributed. Centralized solar photovoltaic power generation systems are widely used in China. However, the distributed solar ...

Claims

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Application Information

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IPC IPC(8): G06V20/13G06T7/62G06N3/04G06Q10/06G06Q50/26
CPCY02P90/84
Inventor 林绍福张畅刘希亮姚昕
Owner BEIJING UNIV OF TECH
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