阅读说明：本技术 一种检测衣物面料种类的检测方法 (Detection method for detecting types of clothes fabrics ) 是由 孟祥飞 于 2020-06-05 设计创作，主要内容包括：本发明公开了一种检测衣物面料种类的检测方法,该一种检测衣物面料种类的检测方法包括以下步骤：首先采集建立信息库,首先大量采集纯棉、纯毛、纯腈纶和纯涤纶废旧服装纺织品样品,按照行业标准规定的化学检测方法对各纺织品样品的成分进行检测；同时对各纺织品样品进行近红外光谱数据信息采集,得到完善的信息库；本发明所述的一种检测衣物面料种类的检测方法,通过采集建立信息库、检测面料的各项检测以及参照比较等步骤可以快速的通过对比数据而得出检测衣物面料种类,同时建立的的信息库时采集了大量的样品信息,使得信息库在对比时更加的完善,操作简单,使用方便,具有良好的使用前景。(The invention discloses a method for detecting the type of a garment fabric, which comprises the following steps: firstly, collecting and establishing an information base, firstly collecting a large number of pure cotton, pure wool, pure acrylic fiber and pure polyester waste garment textile samples, and detecting the components of each textile sample according to a chemical detection method specified by an industry standard; simultaneously, carrying out near infrared spectrum data information acquisition on each textile sample to obtain a perfect information base; according to the detection method for detecting the type of the clothes fabric, the type of the detected clothes fabric can be obtained quickly through comparison data by the steps of collecting and establishing the information base, detecting various detections of the fabric, referring to comparison and the like, and meanwhile, a large amount of sample information is collected in the established information base, so that the information base is more perfect in comparison, the operation is simple, the use is convenient, and the use prospect is good.)

1. A detection method for detecting the type of a garment material is characterized by comprising the following steps:

firstly, collecting and establishing an information base, firstly collecting a large number of pure cotton, pure wool, pure acrylic fiber and pure polyester waste garment textile samples, and detecting the components of each textile sample according to a chemical detection method specified by an industry standard; simultaneously, carrying out near infrared spectrum data information acquisition on each textile sample to obtain a perfect information base;

step two, detecting various kinds of fabrics of the clothes, then detecting the clothes of which the fabric types need to be detected through related equipment and a chemical detection method, wherein the content of a detection result displays data information such as physical properties, chemical component analysis, color fastness, fabric components, size and the like, and information of the fabrics of the detected clothes is obtained;

and step three, referring to comparison, putting the information of the detected fabric obtained in the step two into the perfect information base established in the step one for comparison, determining the type of the data in the range, and finishing the detection method for detecting the type of the fabric of the clothes, thereby finally obtaining the specific type of the detected fabric of the clothes.

2. The detection method for detecting the type of the fabric of the clothes according to claim 1, characterized in that: in the first step, the spectrum range used for collecting the near infrared spectrum data information of various textile samples is 1160nm-1650nm, the spectrum collecting speed is 100 full spectrums/second, and the light spot area is larger than 100cm 2.

3. The detection method for detecting the type of the fabric of the clothes according to claim 1, characterized in that: and (3) collecting a large number of waste and old clothing textile samples such as pure cotton, pure wool, pure acrylic fiber, pure polyester fiber, lace and the like in the step one, wherein each sample comprises at least 100 pieces and 150 pieces.

4. The detection method for detecting the type of the fabric of the clothes according to claim 1, characterized in that: the method comprises the following steps that an identification module is arranged in an information base, and the identification module is mainly used for identifying the type of a to-be-detected clothes fabric sample.

5. The detection method for detecting the type of the fabric of the clothes according to claim 1, characterized in that: in the step three, during comparison, the data in the information of the detected clothes fabric can be classified according to the fiber components or the structural components.

Technical Field

The invention belongs to the technical field of fabric detection, and particularly relates to a detection method for detecting the type of a fabric of clothes.

Background

The garment is made of fabric, the fabric is used for making the garment and is one of three elements of the garment, and the fabric can explain the style and the characteristics of the garment and directly control the expression effects of the color and the shape of the garment. The product has the advantages of high and perfect self-body and soft hand feeling;

the traditional detection method for detecting the type of the clothing fabric is insufficient when in use, and the traditional detection method for the clothing fabric is characterized in that the traditional detection method for the clothing fabric is distinguished by combining comfortable hand feeling, air permeability, fabric component weight and the like, so that the situation of wrong judgment sometimes exists, and inconvenience is brought to use.

Disclosure of Invention

The invention mainly aims to provide a method for detecting the type of a fabric of clothes, which can effectively solve the problems in the background technology.

In order to achieve the purpose, the invention adopts the technical scheme that:

a detection method for detecting the type of a garment fabric comprises the following steps:

firstly, collecting and establishing an information base, firstly collecting a large number of pure cotton, pure wool, pure acrylic fiber and pure polyester waste garment textile samples, and detecting the components of each textile sample according to a chemical detection method specified by an industry standard; simultaneously, carrying out near infrared spectrum data information acquisition on each textile sample to obtain a perfect information base;

step two, detecting various kinds of fabrics of the clothes, then detecting the clothes of which the fabric types need to be detected through related equipment and a chemical detection method, wherein the content of a detection result displays data information such as physical properties, chemical component analysis, color fastness, fabric components, size and the like, and information of the fabrics of the detected clothes is obtained;

and step three, referring to comparison, putting the information of the detected fabric obtained in the step two into the perfect information base established in the step one for comparison, determining the type of the data in the range, and finishing the detection method for detecting the type of the fabric of the clothes, thereby finally obtaining the specific type of the detected fabric of the clothes.

Preferably, the spectrum range used for collecting the near infrared spectrum data information of various textile samples in the step one is 1160nm-1650nm, the spectrum collecting speed is 100 times of full spectrum/second, and the light spot area is more than 100cm 2.

Preferably, the samples of the waste and old clothing textiles such as the pure cotton, the pure wool, the pure acrylic fiber, the pure polyester, the lace and the like collected in the step one are at least 100 pieces and 150 pieces.

Preferably, an identification module is arranged in the information base in the first step, and the identification module is mainly used for identifying the type of the fabric sample of the clothes to be detected.

Preferably, the data in the information for detecting the fabric of the clothes can be classified according to the fiber components or the structural components when the comparison is carried out in the third step.

Compared with the prior art, the invention has the following beneficial effects: according to the detection method for detecting the type of the clothes fabric, the detection of the type of the clothes fabric can be rapidly obtained through the steps of collecting and establishing the information base, detecting various types of the fabric, referring to comparison and the like, and a large amount of sample information is collected during the process of establishing the information base, so that the information base is more perfect during comparison, the detection structure is more accurate, the operation is simple, and the use is convenient.

Detailed Description

In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.

Examples

During detection, firstly, an information base is collected and established, firstly, a large number of waste garment textile samples of pure cotton, pure wool, pure acrylic fiber and pure polyester are collected, a large number of waste garment textile samples of pure cotton, pure wool, pure acrylic fiber, pure polyester, lace and the like are collected, at least 100 pieces of samples are prepared, and the components of the textile samples are detected according to a chemical detection method specified by an industry standard; simultaneously, near infrared spectrum data information acquisition is carried out on each textile sample, the spectrum range used for carrying out near infrared spectrum data information acquisition on each textile sample is 1160-1650 nm, the spectrum acquisition speed is 100 full spectrums/second, the light spot area is more than 100cm2, and an identification module is arranged in an information base and mainly used for identifying the type of the fabric sample of the clothes to be detected to obtain a perfect information base; secondly, detecting various kinds of the fabric of the clothes, then detecting the clothes of which the fabric kind is required to be detected through related equipment and a chemical detection method, wherein the content of a detection result shows data information such as physical performance, chemical component analysis, color fastness, fabric components, size and the like, and information of the detected fabric of the clothes is obtained; and finally, referring to comparison, putting the information of the detected fabric obtained in the step two into the perfect information base established in the step one for comparison, classifying the data in the information of the detected fabric according to fiber components or structural components during comparison, and determining the type of the data in the range, thus finishing the detection method for detecting the type of the fabric of the clothes.

The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.