Online detection method for width of fabric

Abstract

The invention relates to a detection method, in particular relating to an online detection method for the width of a fabric. The detection method provided by the invention is characterized in that one surface of the fabric to be detected is provided with a group of light emitting tubes, and the other surface of the fabric to be detected is provided with a group of photosensitive elements or the same surface of the fabric to be detected is provided with a group of light emitting tubes and a group of photosensitive elements; the total width of the group of photosensitive elements is larger than the width of the fabric to be detected, and the central distance of the adjacent photosensitive elements is known; the photosensitive elements which are positioned in the width region of the fabric to be detected are shielded or reflected through the fabric to be detected; the shielded or reflected photosensitive elements send received signals to a front end circuit to be processed, and the received signals are different from the signals of the light emitting tubes which are not shielded or reflected; the signals are computed and processed through a central processing unit, thereby obtaining the data of the total number B of the photosensitive elements which are shielded or reflected by the fabric to be detected; and the program operation is carried out to obtain the data of the width L of the fabric to be detected. The method provided by the invention has the following advantages: (1) rapid and accurate detection, and suitability for industrial application; and (2) wide detection range.

Description

technical field [0001] The invention relates to a detection method, in particular to an online detection method of fabric width. The invention is suitable for on-line detection of fabric width in the technical fields of printing and dyeing, textile and the like. Background technique [0002] At present, in the printing and dyeing industry, polyester woven fabrics account for a high proportion of polyester products. During the processing of polyester woven fabrics, it is very important to control the width index of polyester woven fabrics, because clothing fabrics are important for the quality of finished fabrics. There are quite high requirements on the width of the fabric. If the width of the fabric is not well controlled, high-quality finished fabrics cannot be obtained. However, in the process of mercerizing, pre-shrinking, tentering and other production and processing of polyester woven fabrics using various printing and dyeing machines such as stenter heat setting mach...

AI Technical Summary

Problems solved by technology

[0002] At present, in the printing and dyeing industry, polyester woven fabrics account for a high proportion of polyester products. During the processing of polyester woven fabrics, it is very important to control the width index of polyester woven fabrics, because clothing fabrics are important for the quality of finished fabrics. There are quite high requirements for the width of the fabric. If the width of the fabric is not well controlled, high-quality finished fabrics cannot be obtained.

However, in the process of mercerizing, pre-shrinking, tentering and other production and processing of polyester woven fabrics using various printing and dyeing machines such as stenter heat setting machines and preshrinking machines, due to the effects of temperature and tension, the polyester woven fabrics are affected by warp direction. Tension forces the fabric to elongate in the warp direction and shrink in the weft direction, resulting in defects such as uneven width and uneven selvage, resulting in width deviation of polyester woven fabrics and affecting the quality of fabrics. Therefore, it is necessary to adjust the width of polyester woven fabrics. Wide range of real-time and effective monitoring

At present, the detection of polyester woven fabrics mainly uses a ruler to manually measure the width of the fabric. The main defects of this detection method are: (1) Low detection efficiency and unstable product quality

Using manual methods to detect not only consumes a lot of manpower and material resources, but also has high labor costs, time-consuming and laborious, and low detection efficiency. The most important thing is that real-time monitoring and adjustment cannot be carried out according to the online situation of polyester woven fabrics, resulting in unstable width and quality of polyester woven fabrics. , it is difficult to ensure the consistency of product quality, and it is impossible to meet the requirements of large-scale and modern production; (2) The detection deviation is large

A ruler is used as the detection device. Although this traditional detection device has been used for a long time and has a wide range of applications, its accuracy is low, the repair rate is high, and it is easy to produce waste products, resulting in low product accuracy levels, large detection deviations, and poor product quality. , can no longer meet the requirements of today's high-quality fabric width products

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