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Recycled aggregate mortar content detection method and device based on deep learning

A recycled aggregate and deep learning technology, applied in the field of deep learning, can solve problems such as inability to meet real-time production needs and cumbersome processes, and achieve the effects of improving accuracy, improving analysis efficiency, and high recognition accuracy

Active Publication Date: 2022-07-15
FUJIAN SOUTHERN HIGHWAY MECHANICAL +1
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The current methods for determining the mortar content of recycled aggregates are generally high-temperature ball milling, chemical methods, etc. These methods are cumbersome and cannot meet the needs of real-time production

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  • Recycled aggregate mortar content detection method and device based on deep learning
  • Recycled aggregate mortar content detection method and device based on deep learning
  • Recycled aggregate mortar content detection method and device based on deep learning

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Embodiment Construction

[0046] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0047] figure 1An exemplary device architecture 100 to which the deep learning-based method for detecting the content of recycled aggregate and mortar or the device for detecting the content of recycled aggregate and mortar based on the embodiment of the present application can be applied is shown.

[0048] like figure 1 As shown, the apparatus architecture 100 may include terminal devices 101 , 102 , 103 , a network 104 and a ser...

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Abstract

The invention discloses a recycled aggregate mortar content detection method and device based on deep learning, and belongs to the field of visual detection of deep learning, a first data set mixed with pure aggregate and pure mortar is adopted to train an image segmentation model, and a basic model is obtained; segmenting the second data set to obtain a third data set; disorganizing the first data set, the third data set and the fourth data set to obtain a fifth data set, and using the fifth data set to train a deeplab-based semantic segmentation model to obtain a final model; images of different surfaces of the recycled aggregate to be detected are obtained and segmented through the final model, and after a second segmentation result is obtained, the ratio of the mortar content to the connected domain area is calculated; the relation between the water absorption of the standard aggregate and the proportion of the mortar content and the connected domain area is obtained, the water absorption of the to-be-detected recycled aggregate is calculated according to the relation and the proportion of the mortar content and the connected domain area, and the problems that the performance of the recycled aggregate cannot be detected in real time, and the detection efficiency is low are solved.

Description

technical field [0001] The invention relates to the field of deep learning, in particular to a method and device for detecting the content of recycled aggregate mortar based on deep learning. Background technique [0002] Recycled aggregate is the aggregate formed by crushing, cleaning and grading waste concrete. The use of recycled aggregate effectively utilizes waste construction waste and avoids the accumulation of construction waste and damage to the environment. Compared with natural aggregate, recycled aggregate can completely replace natural aggregate in terms of its physical and chemical properties, and its output is stable, which can completely make up for the lack of natural aggregate and effectively protect the environment and land resources. [0003] The content of mortar on the surface of recycled aggregate affects its performance. The high content of mortar on the surface of recycled aggregate has the characteristics of larger pores, higher water absorption an...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/12G06T7/187G06T7/62G06N3/08
CPCG06T7/0004G06T7/11G06T7/12G06T7/187G06T7/62G06N3/08G06T2207/20081G06T2207/30132Y02W30/91
Inventor 杨建红房怀英黄文景张宝裕黄骁民汪鑫魏义兴
Owner FUJIAN SOUTHERN HIGHWAY MECHANICAL
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