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BP neural network-based high-temperature protection garment optimization design method

A BP neural network, optimization design technology, applied in the field of protective clothing design, can solve problems such as time-consuming, inconvenient iteration, complex solution process, etc., to achieve the effect of saving computing time and novel thinking

Pending Publication Date: 2019-06-25
HUNAN INSTITUTE OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

[0003] At present, the thickness of each layer of high-temperature protective clothing is mostly solved by the finite difference method, but the solution process of the finite difference method is more complicated and time-consuming, so it is not convenient for multiple iterations

Method used

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  • BP neural network-based high-temperature protection garment optimization design method
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  • BP neural network-based high-temperature protection garment optimization design method

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Embodiment Construction

[0027] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0028] see figure 1 , a method for optimal design of high-temperature protective clothing based on BP neural network, comprising the following steps:

[0029] (1) Set the thickness of the fabric material of the high-temperature protective clothing as d, take different d to carry out the skin surface temperature test experiment to obtain data and draw the temperature-time reference curve, predict the optimal solution according to the temperature-time reference curve to obtain the prediction result;

[0030] (2) Substitute the data o...

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Abstract

The invention discloses a BP neural network-based high-temperature protective clothing optimization design method, which is characterized by comprising the following steps: setting the thickness of afabric material of high-temperature protective clothing to be different, carrying out a skin surface temperature test experiment to obtain data, and drawing temperature-time reference curve, and according to the temperature-time reference curve, predicting the optimal solution to obtain a prediction result; substituting the data obtained in the step (1) into a BP neural network for learning, and obtaining a skin surface highest temperature interpolation function and a high temperature duration interpolation function by using a BP neural network interpolation method; drawing a temperature-according to the highest temperature interpolation function of the skin surface in the step (2) and the high temperature duration interpolation function; Time model curve.

Description

technical field [0001] The invention relates to the technical field of protective clothing design, in particular to an optimal design method for high-temperature protective clothing based on BP neural network. Background technique [0002] In industrial and agricultural production and life, sometimes people may encounter harsh environments, such as high temperature. At this time, people need to wear high-temperature protective clothing to resist high-temperature burns. The special clothing is composed of three layers of different materials, which are respectively defined as I, II and Layer III, where the gap between layer I and the skin is defined as layer IV. In a high-temperature working environment, in order to control the temperature of the human body of the dummy to 37°C, it is necessary to control the temperature outside the dummy's skin. Generally, it is required to ensure that the temperature of the outside of the dummy's skin is not higher than 47°C and higher than ...

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Application Information

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IPC IPC(8): G06F17/50G06N3/04G06N3/08
CPCY02T90/00
Inventor 荣军李武张敏万军华万力
Owner HUNAN INSTITUTE OF SCIENCE AND TECHNOLOGY
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