Automatic collection method for spinning behavior data of silkworms

An automatic collection and silkworm technology, applied to devices using optical methods, photo interpretation, measuring devices, etc., can solve the problem of low data accuracy and achieve high data accuracy, simple system, and high efficiency.

Active Publication Date: 2014-05-21
SOUTHWEST UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, first of all, it is necessary to collect data on silkworm silk spinning behavior. Traditional data collection is done manually, and the accuracy of the collected data is not very high.

Method used

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  • Automatic collection method for spinning behavior data of silkworms
  • Automatic collection method for spinning behavior data of silkworms
  • Automatic collection method for spinning behavior data of silkworms

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Embodiment Construction

[0027] Combine below figure 1 The specific embodiment of the present invention is further described. It should be understood that the following examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. That is to say, the present invention except figure 1 , figure 2 In addition to the devices shown, other equivalent devices also fall within the scope defined by the appended claims of this application.

[0028] Such as figure 1 Shown:

[0029] First, the cooked silkworm (4) is placed on the flat plate (3), and a layer of medium that is conducive to silk adhesion should be spread on the flat plate to prepare for the silk spinning of the cooked silkworm (4);

[0030] Secondly, fix the two cameras (1), (2) on the camera bracket (7) in parallel, and place the bracket on the flat panel, the width of which should be greater than the width of the flat panel. The specific placement method is shown in the figure; ...

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Abstract

The invention discloses an automatic collection method for spinning behavior data of silkworms. According to the method, a binocular vision technology is used; two cameras are fixed in the same direction or different directions to automatically collect the spinning behavior data of the silkworms. The behavior data mainly comprises kinematic velocity and track of the silkworm head spinning mouths in the spinning process. The method comprises the steps of collecting image sequences of movement of silkworm heads in the spinning process of the silkworms by using the cameras, then solving three-dimensional coordinates of the movement of the silkworm spinning mouths according to the collected image sequences to analyze the behavior data comprising spinning velocity and track of the silkworms and store the behavior data. Through the method, manual labor for collecting spinning behavior data of silkworms is reduced and the precision of the data collection is improved.

Description

technical field [0001] The invention belongs to the field of automatic data collection, and in particular relates to a method for automatic collection of silkworm silk spinning behavior data. Background technique [0002] Silk is the lightest, softest and thinnest natural fiber in nature. It can easily return to its original shape after removing the external force. However, the spinning speed of silk is different in different silkworm individuals, and the properties of silk are also related to the conditions of silk formation. Studies have proved that if silk is obtained under continuous and stable silk formation, its comprehensive mechanical properties Comparable to spider silk. Similarly, the trajectory of silkworm spinning is also considered to have a direct impact on the physical and chemical properties of silk. Therefore, the study of the correlation between silkworm spinning behavior and silk physical and chemical properties will help to improve the physical and chemi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C11/00
CPCA01K67/04G01C11/02G01C11/06G01P3/38G01C11/36
Inventor 王宇俊向玉冰方灿谭艳孙亚芹胡翔
Owner SOUTHWEST UNIVERSITY
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