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A flame retardant fabric performance aging prediction method based on machine learning

A technology of flame-retardant fabrics and machine learning, which is applied in the field of performance aging prediction of flame-retardant fabrics based on machine learning, can solve problems such as the accuracy to be improved and the scope of application is limited, so as to enhance convenience, eliminate safety hazards, and reduce costs Effect

Inactive Publication Date: 2019-01-11
DONGHUA UNIV
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Problems solved by technology

However, the scope of application of the currently established statistical models is limited, and the accuracy needs to be improved

Method used

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  • A flame retardant fabric performance aging prediction method based on machine learning

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Embodiment Construction

[0030] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0031] Flame-retardant fabrics are often used in thermal protective clothing such as firefighting clothing. Its main function is to reduce the heat transfer from high-temperature environments to human skin, thereby achieving the effect of thermal protection. The mechanical properties, flame retardancy and thermal protection properties of flame-retardant fabrics or clothing have an important impact on their service life. This e...

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Abstract

The invention relates to a flame retardant fabric performance aging prediction method based on machine learning, which comprises the following steps: obtaining a flame retardant fabric aging performance training sample; collecting two-dimensional images of flame retardant fabrics as input features of the training model, testing mechanical properties, flame retardant properties and thermal protection properties of the aged fabrics as target variables of the training model; carrying out SVM regression training to obtain the performance aging model, and inputting the performance aging database offlame retardant fabrics; carrying out preparation of flame retardant fabric performance aging test samples, acquisition of two-dimensional images and pretreatment; carrying out parametric processingof two-dimensional images of flame retardant fabric test samples; extracting the SVM model from the database of flame retardant fabric performance aging, and using the two-dimensional image parametersas input features to predict the mechanical properties, flame retardant properties and thermal protection properties of the fabric aging results. The method rapidly and accurately predicts the mechanical properties, the flame retardant properties and the thermal protection properties of the flame retardant fabric through a non-destructive image acquisition mode.

Description

technical field [0001] The invention relates to the technical field of performance prediction of flame-retardant fabrics, in particular to a method for predicting the performance aging of flame-retardant fabrics based on machine learning. Background technique [0002] Flame-retardant fabrics are often used in thermal protective clothing such as firefighting clothing. Its main function is to reduce the heat transfer from high-temperature environments to human skin, thereby achieving the effect of thermal protection. During the use of textile materials or clothing, factors such as sun exposure, weathering, washing, dry cleaning, abrasion, and sweat stains that will affect the physical or chemical properties of fiber materials will degrade their functions and performance, thereby affecting their service life. For flame-retardant fabrics or clothing, the performance aging is closely related to the use environment. High temperature, radiation, fire and other environments will aff...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N20/00G06K9/62G01N3/08G01N17/00
CPCG01N3/08G01N17/00G01N2203/0212G06F18/2411
Inventor 田苗张倬李俊王朝莉邓梦
Owner DONGHUA UNIV
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