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Hardened cement water cement ratio prediction method and system based on cement microstructure image

A microstructure and water-cement ratio technology, applied in image analysis, image enhancement, image data processing, etc., can solve problems such as unavoidable errors and complicated processes, and achieve the effects of improving understanding, good real-time performance, and improving estimation accuracy

Active Publication Date: 2021-01-01
UNIV OF JINAN
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Although this method can realize the determination of the original water-cement ratio, the applicant believes that the patent needs to set a threshold to quantitatively calibrate the capillary porosity and then establish a functional relationship between the water-cement ratio and the capillary porosity, and the process is complicated; and the patent The water-cement ratio is determined by using the functional relational expression based on the picture. When establishing the functional relational expression, the error introduced by the statistical data of capillary porosity cannot be avoided, which will affect the estimation accuracy of the water-cement ratio.

Method used

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  • Hardened cement water cement ratio prediction method and system based on cement microstructure image
  • Hardened cement water cement ratio prediction method and system based on cement microstructure image
  • Hardened cement water cement ratio prediction method and system based on cement microstructure image

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Experimental program
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Embodiment 1

[0036]This embodiment provides a method for predicting the water-cement ratio of hardened cement based on cement microstructure images;

[0037]The prediction method of hardened cement water-cement ratio based on cement microstructure image includes:

[0038]S101: Obtain a cement image to be predicted;

[0039]S102: preprocessing the cement image to be predicted;

[0040]S103: Input the pre-processed cement image to be predicted into the pre-trained convolutional neural network; output the predicted value of the water-cement ratio of the cement image to be predicted.

[0041]As one or more embodiments, the S101: acquiring a cement image to be predicted; refers to acquiring images of different angles of the hardened cement to be predicted at the same resolution.

[0042]As one or more embodiments, the S102: preprocessing the cement image to be predicted; the specific steps include:

[0043]Standardize the image processing and image cutting processing.

[0044]As one or more embodiments, the S103: input the ...

Embodiment 2

[0111]This embodiment provides a hardened cement water-cement ratio prediction system based on cement microstructure images;

[0112]The water-cement ratio prediction system of hardened cement based on cement microstructure image, including:

[0113]The obtaining module is configured to: obtain the cement image to be predicted;

[0114]A preprocessing module, which is configured to: preprocess the cement image to be predicted;

[0115]The prediction module is configured to: input the pre-processed cement image to be predicted into a pre-trained convolutional neural network; and output the predicted value of the water-cement ratio of the cement image to be predicted.

[0116]It should be noted here that the above-mentioned acquisition module, pre-processing module, and prediction module correspond to steps S101 to S103 in Embodiment 1. The above-mentioned modules and corresponding steps implement the same examples and application scenarios, but are not limited to the above-mentioned embodiments. On...

Embodiment 3

[0120]This embodiment also provides an electronic device, including: one or more processors, one or more memories, and one or more computer programs; wherein, the processor is connected to the memory, and the above one or more computer programs are It is stored in a memory, and when the electronic device is running, the processor executes one or more computer programs stored in the memory, so that the electronic device executes the method described in the first embodiment.

[0121]It should be understood that in this embodiment, the processor may be the central processing unit CPU, the processor may also be other general-purpose processors, digital signal processors DSP, application-specific integrated circuits ASIC, ready-made programmable gate array FPGAs or other programmable logic devices , Discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor or th...

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Abstract

The invention discloses a hardened cement water cement ratio prediction method and system based on a cement microstructure image. The method comprises the steps of obtaining a to-be-predicted cement image; preprocessing the to-be-predicted cement image; inputting the preprocessed to-be-predicted cement image into a pre-trained convolutional neural network; and outputting a water cement ratio prediction value of the to-be-predicted cement image. According to the method, the microstructure image in the cement is directly used for estimating the water cement ratio of the hardened cement, the steps of analyzing and counting numerical indexes such as the capillary porosity and the like are avoided, the estimation process is simpler, and operation is more facilitated.

Description

Technical field[0001]This application relates to the technical field of cement water-cement ratio prediction, in particular to a hardened cement water-cement ratio prediction method and system based on cement microstructure images.Background technique[0002]The statements in this section merely mention background technology related to this application, and do not necessarily constitute prior art.[0003]With the continuous development of my country's economy and society, a large number of infrastructure construction projects such as bridges, roads, and houses are newly added every year, and industries related to reinforced concrete construction have achieved rapid development. As a basic building material, concrete has an important influence on social economic progress and people's happiness and settlement. The research on concrete has promoted the technological progress of related industries and further promoted the improvement of the overall development level of our society.[0004]As ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/00G06T5/50G06N3/08G06N3/04G06F17/16
CPCG06T7/11G06T7/0002G06T5/50G06N3/084G06F17/16G06T2207/10081G06N3/045
Inventor 吴旭赵欣王琳杨波
Owner UNIV OF JINAN
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