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Garbage carbon value estimation method based on deep learning and hyperspectral recognition technology

A recognition technology and deep learning technology, applied in the field of garbage intelligent processing, can solve problems such as large uncertainty factors, low purity, and reduced accuracy of garbage carbon value estimation, achieving high accuracy, high estimation robustness, and calculation fast effect

Pending Publication Date: 2022-04-12
CHINA TIANYING +2
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Problems solved by technology

However, the traditional method of estimating the carbon value of garbage is only to judge the material material through manual methods, which has a large uncertainty factor, and many materials on the market are often mixed with other materials, and the purity is low, which greatly reduces the accuracy of estimating the carbon value of garbage. sex

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  • Garbage carbon value estimation method based on deep learning and hyperspectral recognition technology
  • Garbage carbon value estimation method based on deep learning and hyperspectral recognition technology
  • Garbage carbon value estimation method based on deep learning and hyperspectral recognition technology

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Embodiment Construction

[0064] In order to explain in detail the technical solutions adopted by the present invention to achieve the intended technical purpose, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described implementation Examples are only some of the embodiments of the present invention, rather than all embodiments, and, on the premise of not paying creative work, the technical means or technical features in the embodiments of the present invention can be replaced, the following will refer to the accompanying drawings and combine Examples illustrate the present invention in detail.

[0065] Such as figure 1 As shown, a method for estimating the carbon value of garbage based on deep learning and hyperspectral recognition technology of the present invention includes the following steps:

[0066] Step 1: 2D industrial c...

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Abstract

The invention discloses a garbage carbon value estimation method based on deep learning and a hyperspectral recognition technology. The garbage carbon value estimation method comprises the steps that a 2D industrial camera shoots RGB images of garbage, and a hyperspectral line scanning camera synchronously collects hyperspectral image information of the garbage; inputting the RGB image into a YOLOv4 target detection model to obtain the image, and filtering through an NMS algorithm to obtain coordinate position information of a target garbage point; the hyperspectral image information is subjected to dimensionality reduction and classification through a PLS model; and traversing the YOLOv4 target detection model to predict target frame confidence, judging whether each target frame confidence is greater than 0.8, and outputting a final carbon value of the target object. According to the garbage carbon value estimation method based on the combination of deep learning and the hyperspectral recognition technology, carbon value analysis and calculation can be carried out on the incoming garbage, the garbage disposal efficiency is improved, and the recognition and calculation accuracy is enhanced.

Description

technical field [0001] The invention relates to a carbon value estimation method, in particular to a garbage carbon value estimation method based on deep learning and hyperspectral recognition technology, which belongs to the technical field of garbage intelligent processing. Background technique [0002] At present, the terminal treatment of domestic waste in my country is mainly based on landfill and incineration, among which incineration is a common way to dispose of domestic waste. In order to promote the combustion effect when domestic waste is incinerated, some fossil combustion-supporting fuels, such as coal fossils, are usually added to it. , fuel oil, etc. These combustion-supporting products will produce a certain amount of carbon dioxide gas with the incineration of waste, and the carbon emissions will increase accordingly. Although the domestic waste landfill can bury the waste underground, a certain amount of carbon-containing gas will also be produced in this pr...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/10G06V10/764G06V10/82G06Q10/06G06Q50/26
Inventor 曹德标刘德峰唐融融韩佳琦倪玮玮
Owner CHINA TIANYING