Seed cotton dyeing impurity intelligent identification system
Patent Information
- Application Number
- CN202521853836.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Priority Date
- 2024-09-04
- Filing Date
- 2025-08-29
- Publication Date
- 2026-09-22
- Estimated Expiration
- 2035-08-29
AI Technical Summary
[0005]针对现有技术中存在的基于图像采集的分选设备中存在的分选效率低、效果差等问题,特别是现有技术中的用于棉花籽棉的异性纤维识别的设备中存在的相关问题,提出一种能够专门针对籽棉异纤尤其是染色杂质进行在线检测、识别的籽棉染色杂质智能识别系统
(1)弥补市场上对棉花染色杂质处理的不足,创造性地采用灯箱对染色杂质进行处理,白光灯管和白光相机配合可实现高速图像采集,保证杂质的精确识别,能大幅提高清理效率,提高生产率。
Smart Images

Figure CN224778694U_ABST
Abstract
Description
Technical Field
[0001] This utility model relates to the field of seed cotton impurity identification, specifically a seed cotton dyeing impurity intelligent identification system. Background Technology
[0002] During the harvesting, transportation, purchasing, and processing of cotton, it is very easy for dyeing impurities to get mixed in, mainly including chemical fibers, hair, hemp, and dyed threads (commonly known as "three fibers"). If these impurities are not treated, they will seriously affect the quality of textiles. Once mixed into the textile process, they not only affect spinning capacity but also cause various color spots on the fabric surface after dyeing, severely impacting the appearance quality of the fabric and causing significant economic losses to the cotton textile industry. Therefore, rapid detection and removal of impurities in raw cotton is crucial for determining the quality grade of raw cotton, which directly affects the sales price and profit of raw cotton in my country. Currently, the removal effect of existing seed cotton foreign fiber cleaning machines in China is generally limited. The cotton cleaned by these machines cannot be directly used in the textile industry. The textile industry often prices cotton based on the content of foreign fibers, and manual sorting is still required before spinning, increasing costs for cotton processing enterprises and significantly impacting profit margins.
[0003] Existing image acquisition and foreign fiber identification methods are mostly used in the cotton processing field, such as patent 201220033611.2, a foreign fiber detection device, and CN201410156376.1, a method and device for adjusting the uniformity of lighting for online detection of foreign fibers in cotton. There are also related patents abroad, but because foreign fibers in seed cotton are broken after entering the cotton processing stage, the amount to be identified increases exponentially, making removal more difficult. There are also related patents in the seed cotton foreign fiber removal stage, such as 201110275391.4, a raw cotton foreign fiber detection device and method, 200620008105, a secondary camera and dual-combination light source device for a cotton foreign fiber removal machine, and 201020511168, a seed cotton foreign fiber removal machine. The above-mentioned equipment or detection methods basically all use a combination of a CCD white light camera and a strip light source, with a PLC-controlled execution unit to remove foreign fibers. However, existing foreign fiber detection devices have the following shortcomings: ① Because the mixed foreign fibers, mainly dyed threads, are similar in texture to cotton and are difficult to remove, they seriously affect the quality of textiles; ② Existing equipment often has poor cooling effects on the light source and white light camera, affecting the reliability of the equipment, and the brightness of traditional light sources cannot meet the requirements of high-precision image acquisition; ③ Existing equipment cannot accurately identify dyed impurities and cannot effectively remove them.
[0004] Therefore, there is a need in the prior art for an image acquisition device that can solve the above-mentioned problems existing in the prior art, especially an image acquisition device suitable for cleaning dyeing impurities in cotton seeds. Utility Model Content
[0005] To address the problems of low sorting efficiency and poor results in existing image acquisition-based sorting equipment, especially the related issues in existing equipment for identifying foreign fibers in cotton seed, this paper proposes an intelligent identification system for seed cotton dyeing impurities that can specifically detect and identify foreign fibers, especially dyeing impurities, online.
[0006] This utility model provides an intelligent identification system for cotton dyeing impurities, including a white light box, a white light camera, a central cotton channel, and ultra-white glass. Two white light boxes are respectively located on either side of the central cotton channel. Each white light box contains a cotton channel white light tube, a background white light tube, and a light box background panel. The cotton channel white light tube illuminates the central cotton channel, and the background white light tube illuminates the light box background panel. The white light box is equipped with a cooling device. Two white light cameras are also located on either side of the central cotton channel, with the center of each camera aligned with the light box background panel on the other side of the central cotton channel. Ultra-white glass is installed between the central cotton channel and the two white light boxes on either side; the inner side of the two ultra-white glass panels forms the central cotton channel.
[0007] This invention uses white light tubes to illuminate the target object for image acquisition, providing excellent optical conditions for image acquisition and resulting in superior image acquisition quality. Two white light cameras positioned on either side of the housing enable efficient image acquisition of the target object. Adjustable connectors on both sides of the housing allow for angle adjustment of the white light tubes, achieving optimal image acquisition. Furthermore, a cooling air channel provides a constant-temperature, high-pressure airflow to the intelligent cotton dyeing impurity identification system, ensuring that all operating components within the housing maintain suitable operating temperatures. A white light cooling mesh plate, positioned diagonally downwards within the housing and connected to the cooling gas channel, further cools the white light tubes, preventing them from overheating and malfunctioning. This significantly extends the uptime and improves the efficiency of the image acquisition device.
[0008] As a further improvement to this technical solution: The white light box contains five cotton-channel white light tubes and two background white light tubes. The five cotton-channel white light tubes are arranged in parallel, while the two background white light tubes are arranged in a V-shape. The light box background is white to facilitate the projection of impurities onto it.
[0009] The cotton path white light tubes and background white light tubes are both connected to the white light box via adjustable connectors, allowing for adjustment of the illumination angle. Each cotton path white light tube is positioned perpendicular to the direction of movement of the target object in the image to be captured. Adjusting the adjustable connectors allows for setting the illumination angle of the cotton path white light tubes, ensuring accurate identification of dyed impurities in the target object and significantly improving recognition efficiency, thereby increasing productivity.
[0010] The adjustable connector is L-shaped, with a lamp mounting hole at the top for connecting and installing cotton channel white light tubes and background board white light tubes. At the bottom are a first adjustment connection hole and a second adjustment connection hole. The adjustable connector is connected to the white light box via the first adjustment connection hole, a first adjustment bolt, the second adjustment connection hole, and the second adjustment bolt.
[0011] The cooling device includes a white light cooling mesh plate and a normal temperature high-pressure air channel. The white light cooling mesh plate is arranged inside the white light box facing obliquely downward. The normal temperature compressed air generated by the Transformer fan enters the white light box through the normal temperature high-pressure air channel and passes through the white light cooling mesh plate at high speed before being blown towards the cotton channel white light tube and the background white light tube.
[0012] The white light cooling mesh plate has a porous structure, allowing cooling air to pass through at high speed, which conforms to the principles of fluid mechanics. The entire structure is compact and provides good dust protection. Compressed air is generated by a Transilluminator fan and filtered to room temperature, which improves the cooling effect of the light source. The high-speed airflow passes through the white light cooling mesh plate, which cools the white light tube.
[0013] The advantages of this utility model are: (1) To make up for the lack of cotton dyeing impurity treatment in the market, a light box is creatively used to treat dyeing impurities. The combination of white light tube and white light camera can realize high-speed image acquisition, ensure accurate identification of impurities, and greatly improve cleaning efficiency and productivity.
[0014] (2) This utility model uses a white light cooling mesh plate to cool the light source. The cooling effect is good and will not affect the projection of impurities on the background plate of the light box, thus ensuring the accuracy of image projection.
[0015] (3) The present invention uses adjustable connectors to fix the cotton channel white light tube and the background board white light tube, thereby realizing the adjustment of the irradiation angle of the white light tube. This ensures that the light shines on the surface of seed cotton and dyed impurities at the best angle, thereby more accurately identifying and removing impurities and significantly improving sorting efficiency. Attached Figure Description
[0016] Figure 1 This is a two-dimensional structural schematic diagram of an intelligent identification system for impurities in cotton dyeing according to this utility model.
[0017] Figure 2 for Figure 1 A schematic diagram of the structure of the white light box 10 in the diagram.
[0018] Figure 3 for Figure 2 A two-dimensional structural diagram of the side of the white light box 10.
[0019] Figure 4 for Figure 2 A schematic diagram of the adjustable connector structure.
[0020] Figure 5 for Figure 2 A schematic diagram of the white light cooling mesh plate structure.
[0021] Explanation of reference numerals in the attached drawings: 10 white light box, 20 cotton channel white light tube, 30 background board white light tube, 40 white light cooling mesh plate, 50 light box background board, 60 normal temperature high pressure air channel, 70 white light camera, 90 ultra-white glass, 100 adjustable connector, 101 lamp tube mounting hole, 102 first adjustment connection hole, 103 second adjustment connection hole, 104 first adjustment bolt, 105 second adjustment bolt. Detailed Implementation
[0022] The present invention will be further described below with reference to the embodiments.
[0023] As shown in the figure, this utility model provides an intelligent identification system for cotton dyeing impurities, which consists of a white light box 10, a white light camera 70, a middle cotton channel, and an ultra-white glass 90 arranged on both sides of the middle cotton channel.
[0024] Two white light boxes 10 are respectively set on both sides of the central cotton passage. Each white light box 10 contains a cotton passage white light tube 20, a background panel white light tube 30, and a light box background panel 50. The cotton passage white light tube 20 illuminates the central cotton passage, and the background panel white light tube 30 illuminates the light box background panel 50.
[0025] Two white light cameras 70 are set on either side of the middle cotton path, with the center of each white light camera 70 aligned with the background plate 50 of the light box 10 on the other side of the middle cotton path.
[0026] Ultra-clear glass 90 is installed between the central cotton channel and the white light boxes 10 on both sides. The ultra-clear glass 90 facilitates the transmission of white light and the acquisition of images of dyed impurities by the white light camera.
[0027] The inner side of the two ultra-clear glass panes forms the middle cotton channel. The cotton passes through the middle cotton channel from top to bottom.
[0028] The white light box 10 contains five cotton channel white light tubes 20, which are arranged in parallel. The white light tubes 20 illuminate the central cotton channel through ultra-clear glass 90. For example... Figure 1 As shown, when the cotton falls down the middle cotton channel, under the illumination of ten white light tubes on both sides of the ultra-white glass 90, the dyeing impurities mixed in the cotton will be projected onto the lightbox background plate, and the white light camera 70 can accurately capture the image of the dyeing line.
[0029] Two ultra-clear glass panes 90 contain two background white light tubes 30 that illuminate the lightbox background panel 50. The two background white light tubes 30 are arranged in a V-shape. The lightbox background panel 50 is white to facilitate the projection of impurities onto it.
[0030] The cotton path white light tube 20 and the background white light tube 30 are provided with a white light cooling mesh plate 40 on their upper sides. The white light cooling mesh plate 40 can cool the cotton path white light tube 20 and the background white light tube 30 to prevent the cotton path white light tube 20 and the background white light tube 30 from overheating and causing damage.
[0031] Both the cotton path white light tube 20 and the background white light tube 30 have their illumination angles adjusted via the adjustable connector 100. Each cotton path white light tube 20 is positioned perpendicular to the direction of movement of the target object in the image to be captured. The illumination angle of the white light tube can be adjusted by adjusting the adjustable connector to ensure accurate identification of dyed impurities in the target object in the image to be captured, and to significantly improve recognition efficiency, thereby increasing productivity.
[0032] The adjustable connector 100 is L-shaped, with a lamp mounting hole 101 at the top for connecting and installing the cotton channel white light tube 20 and the background board white light tube 30. At the bottom, it has a first adjustment connection hole 102 and a second adjustment connection hole 103. The adjustable connector 100 is connected to the white light box 10 through the first adjustment connection hole 102, the second adjustment connection hole 103, and the first adjustment bolt 104 and the second adjustment bolt 105.
[0033] The white light box 10 is equipped with a cooling device, which includes a white light cooling mesh plate 40 and a normal temperature high-pressure air channel 60. The white light cooling mesh plate 40 is arranged inside the white light box 10 facing obliquely downward. The normal temperature compressed air generated by the Turbo fan enters the white light box 10 through the normal temperature high-pressure air channel 60 and passes through the white light cooling mesh plate 40 at high speed before being blown toward the cotton channel white light tube 20 and the background white light tube 30.
[0034] The circulating airflow cools the heat-generating components such as the cotton path white light tube 20 and the background white light tube 30 installed in the white light box 10. The airflow is also guided to ensure that the airflow can expel dust, lint and other floating objects from the white light box 10 to the outside of the white light box 10, thereby ensuring the cleanliness of the cotton path white light tube 20 and the white light box 10, and thus ensuring the accuracy of image acquisition.
[0035] The following is a brief description of the working process of an intelligent identification system for dyeing impurities in cotton seed, based on this utility model, using the cleaning of dyeing impurities in cotton seed as an example.
[0036] Will as Figure 1 The intelligent identification system for dyeing impurities in seed cotton shown is completely enclosed and in darkness. When the system is powered on, cotton falls through the middle cotton channel. Ten white light tubes 20 on both sides of the ultra-white glass 90 illuminate the cotton passing through the middle channel. Dyeing impurities mixed in the cotton are projected onto the lightbox background plate 50. Adjusting the adjustable connector 100 on the side of the white lightbox 10 adjusts the illumination angle of the white light tubes 20 to achieve the best lighting effect.
[0037] The adjustable connector 100 has a first adjustment connection hole 102 and a second adjustment connection hole 103 spaced apart. Both the first adjustment connection hole 102 and the second adjustment connection hole 103 are arc-shaped and curved in the same direction. A first adjustment bolt 104 and a second adjustment bolt 105 are respectively provided at the first adjustment connection hole 102 and the second adjustment connection hole 103. The diameter of the bolt body of the first adjustment bolt 104 and the second adjustment bolt 105 is smaller than the diameter of the first adjustment connection hole 102 and the second adjustment connection hole 103. The diameter of the bolt cap of the first adjustment bolt 104 and the second adjustment bolt 105 is larger than the diameter of the first adjustment connection hole 102 and the second adjustment connection hole 103.
[0038] The specific method by which the adjustable connector 100 adjusts the illumination angle of the cotton white light tube 20 is as follows: First, loosen the first adjusting bolt 104, then loosen the second adjusting bolt 105. After loosening, using the first adjusting bolt 104 as a pivot, swing the adjustable connector 100 to rotate it, thereby adjusting its angle. The adjustable connector 100 drives the cotton white light tube 20 on it to rotate, thus adjusting the illumination angle of the cotton white light tube 20. After adjustment, tighten the first adjusting bolt 104, then loosen the second adjusting bolt 105 to fix the adjustable connector 100.
[0039] Two white light tubes 30 on each side of the lightbox illuminate the lightbox background panel, facilitating the projection of impurities onto the lightbox background panel. The white light tubes 30 on the background panel have a certain tilt angle. The adjustable connector 100 on the side of the white light box 10 can be adjusted to adjust the illumination angle of the white light tubes 30 on the background panel to achieve the best lighting effect, so that the white light camera 70 can accurately capture the image of the dyed lines.
[0040] like Figure 2 As shown, a high-pressure airflow is generated by a Turbo fan. The airflow is filtered and enters the white light box 10 through a normal-temperature high-pressure air channel 60, where its temperature is maintained at room temperature. This helps to improve the cooling effect of the light source. Then, the high-pressure airflow is blown out through the white light cooling mesh plate 40 to prevent dust from floating into the interior of the white light box 10, maintaining the cleanliness of the box for a long time. As a result, the intelligent identification system for cotton dyeing impurities can maintain a high impurity recognition rate for a longer period of time.
[0041] The intelligent identification system for cotton dyeing impurities according to this utility model can be used to separate or sort impurities of different colors from other items, such as grain cleaning, fruit cleaning, etc. It also shows good results in other image acquisition fields, such as industrial production lines with severe dust pollution, harsh working environments, and high dust prevention requirements, and is also within the protection scope of this utility model.
[0042] Although the present invention has been described with reference to exemplary embodiments, it should be understood that the present invention is not limited to the specific embodiments described and shown herein, and those skilled in the art can make various improvements or modifications to the exemplary embodiments without departing from the scope defined by the claims.
Claims
1. A smart identification system for impurities in cotton dyeing, comprising a white light box (10), a white light camera (70), an intermediate cotton channel, and ultra-white glass (90), characterized in that: Two white light boxes (10) are respectively set on both sides of the middle cotton channel. The white light box (10) is equipped with cotton channel white light tube (20), background board white light tube (30) and light box background board (50). The cotton channel white light tube (20) illuminates the middle cotton channel, and the background board white light tube (30) illuminates the light box background board (50). The white light box (10) is equipped with a cooling device. The white light camera (70) is two in number and is set on both sides of the middle cotton passage. The center of each white light camera (70) is aligned with the background plate (50) of the light box (10) on the other side of the middle cotton passage. Ultra-white glass (90) is installed between the middle cotton channel and the white light boxes (10) on both sides. The inner sides of the two ultra-white glass (90) are the middle cotton channel.
2. The intelligent identification system for dyeing impurities in seed cotton according to claim 1, characterized in that: The white light box (10) contains 5 cotton channel white light tubes (20) and 2 background board white light tubes (30). The 5 cotton channel white light tubes (20) are arranged in parallel, and the 2 background board white light tubes (30) are arranged in a figure-eight shape. The light box background board (50) is white, which makes it easy for impurities to be projected on the light box background board (50).
3. The intelligent identification system for dyeing impurities in seed cotton according to claim 1, characterized in that: The cotton white light tube (20) and the background white light tube (30) are both connected to the white light box (10) through an adjustable connector (100), and the irradiation angle is adjusted through the adjustable connector (100).
4. The intelligent identification system for dyeing impurities in seed cotton according to claim 3, characterized in that: The adjustable connector (100) is L-shaped, with a lamp mounting hole (101) at the top for connecting and setting cotton white light tube (20) and background white light tube (30); and a first adjustment connection hole (102) and a second adjustment connection hole (103) at the bottom. The adjustable connector (100) is connected to the white light box (10) through the first adjustment connection hole (102), the first adjustment bolt (104), the second adjustment connection hole (103) and the second adjustment bolt (105).
5. The intelligent identification system for dyeing impurities in seed cotton according to claim 1, characterized in that: The cooling device includes a white light cooling mesh plate (40) and a normal temperature high-pressure air channel (60). The white light cooling mesh plate (40) is arranged inside the white light box (10) facing obliquely downward. The normal temperature compressed air generated by the Turbo fan enters the white light box (10) through the normal temperature high-pressure air channel (60) and passes through the white light cooling mesh plate (40) at high speed before being blown towards the cotton channel white light tube (20) and the background board white light tube (30).
Citation Information
Patent Citations
Device and method for detecting foreign fibers in raw cotton
CN102409440B
Illumination Uniformity Adjustment Method for On-line Detection of Cotton Foreign Fibers
CN103940829B
Foreign fiber detecting system
CN202881528U