A drawing frame output quality detection method, device, equipment and medium

Abstract

The application relates to the technical field of drawing frame, and in particular to a drawing frame output quality detection method, device, equipment and medium. The method comprises the following steps: acquiring an image of a sliver collected by an image collection device, one side of the sliver is provided with the image collection device, the other side of the sliver is provided with a parallel light plate that emits light, the shooting direction of the image collection device is opposite to the light-emitting direction of the light plate; determining the brightness of each pixel point in the image; determining a target area in the image according to the brightness of each pixel point in the image, the target area being an area in which the brightness of the pixel points in the image does not exceed a preset brightness threshold; determining the sliver stem uniformity of the sliver according to the target area, determining the thickness uniformity of the sliver according to the brightness of each pixel point in the image, and prompting the drawing frame to self-adjust the uniformity according to the sliver stem uniformity and the thickness uniformity. The sliver stem uniformity and the thickness uniformity of the sliver output by the drawing frame can be detected in real time and accurately, and the sliver quality and the detection efficiency are improved.

Description

TECHNICAL FIELD

[0001] The application relates to the drawing frame technical field, in particular to a drawing frame output quality detection method, device, equipment and medium. BACKGROUND

[0002] A drawing frame is a spinning machine that processes several fibers after carding or combing into a fiber strip with certain quality requirements. The row of fiber strips formed by the multiple fiber strips output by the drawing frame is called a sliver. The function of the drawing frame is to improve the internal structure of the sliver, thereby improving its long piece uniformity, reducing weight unevenness, straightening the fibers in the sliver, reducing hooks, and making the fineness meet the specified requirements.

[0003] The drawing frame self-adjusting leveling system is an automatic adjusting system for controlling the uniformity of the sliver. The principle is based on feedback control theory. The quality indicators of the output sliver are detected in real time, compared with the preset standard, and then the process parameters of the drawing frame, such as draft ratio and roller position, are automatically adjusted according to the comparison result, so that the quality of the output sliver meets the requirements. This system can greatly improve the production efficiency and product quality of the drawing frame, and reduce production cost and waste rate.

[0004] In actual production, the quality indicators of the drawing frame output sliver include sliver evenness and thickness evenness. The sliver evenness is used to indicate the uniformity of the output sliver, and the thickness evenness is used to indicate the weight evenness of the output sliver per unit length. The related technology sets an infrared sensor at the output position of the drawing frame to obtain the quality indicators of the output sliver in real time. The infrared sensor measures the absorption, reflection, scattering or thermal radiation of the cotton strip to reflect the sliver evenness of the cotton strip, analyzes the infrared radiation intensity or thermal image of the cotton strip to determine the thickness of the cotton fiber, and then evaluates the quality of the sliver. However, different types of materials have different absorption and reflection characteristics of infrared rays, and the response of the infrared sensor to different materials is quite different, resulting in inaccurate detection results. SUMMARY

[0005] In order to solve the problem of inaccurate quality detection of the output sliver of the drawing frame in the prior art, the application provides a drawing frame output quality detection method, device, equipment and medium.

[0006] In the first aspect, the application provides a drawing frame output quality detection method, which adopts the following technical scheme:

[0007] A drawing frame output quality detection method, comprising:

[0008] acquire an image of the sliver collected by an image collection device, one side of the sliver is provided with the image collection device, and the other side of the sliver is provided with a parallel light plate that emits light, and the shooting direction of the image collection device is opposite to the light emitting direction of the light plate;

[0009] determine the brightness of each pixel point in the image;

[0010] determine a target region in the image according to the brightness of each pixel point in the image, the target region being a region in the image in which the brightness of the pixel points does not exceed a preset brightness threshold;

[0011] determine the sliver stem uniformity of the sliver according to the target region, determine the thickness uniformity of the sliver according to the brightness of each pixel point in the image, and prompt the slivering machine to perform self-adjustment and uniformity according to the sliver stem uniformity and the thickness uniformity.

[0012] By adopting the above technical solution, the image of the sliver collected by the image collection device is acquired, one side of the sliver is provided with the image collection device, and the other side of the sliver is provided with a parallel light plate that emits light, the light emitted by the light plate penetrates the sliver and is captured by the image collection device, the brightness change of the pixel points in different regions in the image can indicate the thickness and thickness of the sliver, and the target region in which the brightness of the pixel points does not exceed the preset brightness threshold can be determined from the image according to the brightness of each pixel point in the image, the target region corresponds to the region blocked by the sliver, and then the sliver stem uniformity and the thickness uniformity can be accurately determined, so that the slivering machine performs self-adjustment and uniformity according to the sliver stem uniformity and the thickness uniformity. The sliver stem uniformity and the thickness uniformity of the sliver output by the slivering machine can be detected in real time and accurately, and the quality and detection efficiency of the sliver are improved.

[0013] In a preferred example, the application can be further configured to acquire an image of the sliver collected by an image collection device, including:

[0014] acquire the output speed of the slivering machine;

[0015] determine the collection frequency of the image collection device according to the output speed of the slivering machine and the length of the sliver collected by the image collection device in one collection, so that the image collection device collects the image of the sliver according to the collection frequency;

[0016] acquire the image of the sliver collected by the image collection device.

[0017] By adopting the above technical solution, the collection frequency of the image collection device is determined according to the output speed of the slivering machine and the length of the sliver collected by the image collection device in one collection, so that the sliver output by the slivering machine can be collected by the image collection device, the image collection accuracy is improved, and the accuracy of the quality detection of the sliver is improved.

[0018] The application can be further configured in a preferred example to determine a target region from the image according to the brightness of each pixel point in the image, comprising:

[0019] determine an initial target region containing pixel points whose brightness does not exceed a preset brightness threshold from the image according to the brightness of each pixel point in the image;

[0020] perform edge extraction on the initial target region to obtain a target region containing a plurality of mutually independent sub-target regions, each sub-target region corresponding to one of the fiber strips in the strip.

[0021] By using the above technical solution, the initial target region containing pixel points whose brightness does not exceed a preset brightness threshold is determined from the image according to the brightness of each pixel point in the image, and the target region with clear boundaries is obtained by further performing edge extraction on the initial target region, thereby improving the extraction quality and efficiency of the target region.

[0022] The application can be further configured in a preferred example to further comprise:

[0023] acquire a target image of a target light plate emitting light collected by a target image collection device, the relative position of the target image collection device and the target light plate being the same as the relative position of the image collection device and the light plate;

[0024] determine the brightness of each pixel point in the target image;

[0025] determine the brightness range corresponding to the target image according to the brightness of each pixel point in the target image;

[0026] determine the preset brightness threshold according to the brightness range.

[0027] By using the above technical solution, the target image of the target light plate emitting light collected by the target image collection device is acquired, the target image represents the image without strip shielding, the brightness range corresponding to the pixel points in the target image is determined according to the brightness of each pixel in the target image, and then the preset brightness threshold is determined according to the brightness range, thereby improving the determination efficiency and accuracy of the preset brightness threshold.

[0028] The application can be further configured in a preferred example to determine the strip stem uniformity of the strip according to the target region, comprising:

[0029] acquire a plurality of width values of each sub-target region in a target direction, the target direction being perpendicular to the output direction of the doubling machine;

[0030] determining a difference between each width value and a preset standard width value, to obtain a plurality of difference values corresponding to the initial sub-target region, the initial sub-target region being any one of a plurality of sub-target regions corresponding to the target region;

[0031] determining the evenness of the strip according to the plurality of difference values corresponding to the initial sub-target region;

[0032] determining the evenness of the strip according to the evenness of each sub-target region.

[0033] By using the above technical solution, a plurality of width values of each sub-target region in the target direction are obtained, the width value representing the thickness of the strip, and each width value is compared with the preset standard width value to determine the deviation of the actual thickness of the strip from the standard value. According to the plurality of difference values corresponding to the initial sub-target region, the evenness of the strip can be accurately determined.

[0034] In a preferred example, the application can be further configured to determine the thickness evenness of the strip according to the brightness of each pixel point in the image, including:

[0035] dividing the image into a plurality of sub-regions;

[0036] determining the average brightness of each sub-region in the plurality of sub-regions and the overall average brightness of the image according to the brightness of each pixel point in the image;

[0037] determining the thickness evenness of the strip according to the average brightness of each sub-region in the plurality of sub-regions and the overall average brightness of the image.

[0038] By using the above technical solution, the image is divided into a plurality of regions, the brightness of each region representing the brightness of the partial region of the image, and the thickness distribution of the strip can be determined according to the average brightness of each sub-region in the plurality of sub-regions. Compared with the region with higher brightness, the region with lower brightness indicates that the strip is thicker, and the accuracy of the thickness evenness of the strip is improved.

[0039] In a preferred example, the application can be further configured to determine the thickness evenness of the strip according to the average brightness of each sub-region in the plurality of sub-regions and the overall average brightness of the image, including:

[0040] determining a first number of the plurality of sub-regions;

[0041] determining a brightness difference value between the average brightness of each sub-region in the plurality of sub-regions and the overall average brightness of the image, to obtain a first number of brightness difference values;

[0042] comparing each of the luminance difference values with a preset luminance difference value, determining a second number of luminance difference values from the first number of luminance difference values that exceed the preset luminance difference value;

[0043] determining the thickness uniformity of the sliver according to the first number and the second number.

[0044] By using the above technical solution, the difference between the average luminance of each of the plurality of regions and the overall average luminance is calculated, which can analyze the thickness distribution of the sliver. Comparing each of the luminance difference values with a preset luminance difference value can determine the non-compliance, i.e. the luminance difference value exceeding the preset luminance difference value. The thickness uniformity can be determined according to the number of non-compliant luminance difference values and the total number of luminance difference values, improving the determination efficiency and accuracy of the thickness uniformity.

[0045] In a second aspect, the present application provides a sliver output quality detection device, which adopts the following technical solution:

[0046] A sliver output quality detection device, comprising:

[0047] An acquisition module configured to acquire an image of a sliver collected by an image collection device, one side of the sliver being provided with the image collection device, the other side of the sliver being provided with a parallel light plate emitting light, the shooting direction of the image collection device being opposite to the light emitting direction of the light plate;

[0048] A first determination module configured to determine the luminance of each pixel point in the image;

[0049] A second determination module configured to determine a target region from the image according to the luminance of each pixel point in the image, the target region being a region in the image where the luminance of the pixel points does not exceed a preset luminance threshold value;

[0050] A third determination module configured to determine the sliver stem uniformity of the sliver according to the target region, determine the thickness uniformity of the sliver according to the luminance of each pixel point in the image, and prompt the sliver machine to self-adjust the uniformity according to the sliver stem uniformity and the thickness uniformity.

[0051] In a third aspect, the present application provides an electronic device, which adopts the following technical solution:

[0052] One or more processors;

[0053] A memory;

[0054] At least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, and the at least one application program is configured to execute the sliver output quality detection method according to any one of the first aspect.

[0055] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution:

[0056] A computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to perform the drawing frame output quality detection method as described in any of the first aspects.

[0057] In summary, this application includes the following beneficial technical effects:

[0058] This application acquires an image of a strip using an image acquisition device. The device is positioned on one side of the strip, and a parallel light-emitting plate is positioned on the other side. The light emitted from the plate penetrates the strip and is captured by the image acquisition device. The brightness variations of pixels in different areas of the image indicate the strip's thickness. Based on the brightness of each pixel in the image, a target area whose pixel brightness does not exceed a preset brightness threshold can be identified. This target area corresponds to the area obscured by the strip, thus accurately determining the strip uniformity and thickness uniformity. This allows the drawing frame to self-adjust and even out the strip's uniformity and thickness. This application enables real-time and accurate detection of the strip uniformity and thickness uniformity output by the drawing frame, improving strip quality and detection efficiency. Attached Figure Description

[0059] Figure 1 This is a schematic flowchart of a method for detecting the output quality of a drawing frame provided in an embodiment of this application;

[0060] Figure 2 This is a schematic diagram of the detection provided in an embodiment of this application;

[0061] Figure 3 This is a schematic diagram of an image acquired by the image acquisition device provided in the embodiments of this application;

[0062] Figure 4 This is a schematic diagram illustrating the determination of strip uniformity provided in an embodiment of this application;

[0063] Figure 5 This is a schematic diagram illustrating the determination of thickness uniformity provided in an embodiment of this application;

[0064] Figure 6 This is a schematic diagram of the structure of a drawing frame output quality detection device provided in an embodiment of this application;

[0065] Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0066] The following is in conjunction with the appendix Figure 1 -AppendixFigure 7 The application is described in further detail.

[0067] The embodiments are merely explanatory of the application, and are not intended to limit the application. Those skilled in the art can make modifications to the embodiments without creative effort, and the modifications are deemed to fall within the scope of the application as long as they are within the claims of the application.

[0068] To make the objectives, technical solutions, and advantages of the embodiments of the application clearer, the technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only some, but not all of the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those of ordinary skill in the art without creative effort are deemed to fall within the scope of the application.

[0069] In addition, the term "and / or" in this document is merely used to describe an association relationship of associated objects, and indicates that there can be three relationships, for example, A and / or B can represent three cases of existence of A alone, existence of A and B together, and existence of B alone. In addition, the character " / " in this document generally represents an "or" relationship between the front and rear associated objects unless otherwise specified.

[0070] The embodiment of the application provides a sliver output quality detection method of a sliver machine, as shown in the figure. Figure 1 The method provided in the embodiment of the application is executed by an electronic device, which can be a server or a terminal device. The server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a notebook computer, a desktop computer, and the like, but is not limited thereto. The terminal device and the server can be directly or indirectly connected through wired or wireless communication, and the application is not limited thereto. The method comprises steps S101-S104, wherein:

[0071] S101, acquiring an image of a sliver collected by an image collection device. One side of the sliver is provided with the image collection device, and the other side of the sliver is provided with a parallel light plate emitting light. The shooting direction of the image collection device is opposite to the light emitting direction of the light plate.

[0072] As shown in the figure. Figure 2The drawing frame output 1 outputs the row of fiber slivers, the row of fiber slivers forms the sliver 3, the light plate 2 is parallel to the sliver 3, the parallel light emitted by the light plate 2 is vertically irradiated on the sliver 3, there is a gap between the fiber slivers forming the sliver 3, part of the light can penetrate from the gap, the other side of the sliver 3 is provided with an image acquisition device 4, which is used to acquire images according to a preset acquisition frequency, the length of the sliver in the output direction of the drawing frame is taken as the length, and the direction perpendicular to the output direction of the drawing frame is taken as the target direction, the shooting width of the image acquisition device 4 in the target direction is not less than the width of the sliver in the target direction.

[0073] S102, determine the brightness of each pixel point in the image.

[0074] In this embodiment, the values of R, G and B of each pixel point in the image can be extracted through an image processing library, and then the brightness of each pixel point in the image is calculated through the formula L=0.299×R+0.587×G+0.114×B, wherein L represents the brightness of the pixel point, and R, G and B represent the brightness values of the red, green and blue three color channels of the pixel point respectively.

[0075] S103, according to the brightness of each pixel point in the image, determine the target region from the image, the target region is the region captured by the image acquisition device when the light emitted by the light plate is blocked by the sliver.

[0076] Figure 3 is a schematic diagram of an image collected by the image acquisition device provided by the embodiment of the present application, Figure 3 contains a plurality of strip-shaped shadow regions, which are formed due to the blocking of the light emitted by the light plate by the sliver, and each strip-shaped shadow region corresponds to a fiber sliver in the sliver, Figure 3 The non-shadow region in the image is a region directly captured by the image acquisition device when the light emitted by the light plate is directly captured by the image acquisition device. A preset brightness threshold can be set to distinguish the target region and the non-target region, and the obtained image can be threshold processed according to the preset brightness threshold, so as to extract the target region in the image. The preset brightness threshold can be determined according to actual requirements.

[0077] S104, according to the target region, determine the sliver stem uniformity, according to the brightness of each pixel point in the image, determine the thickness uniformity of the sliver, and prompt the drawing frame to self-adjust and even out according to the stem uniformity and the thickness uniformity.

[0078] In the embodiment, each individual small area in the target area can be taken as a sub-target area, a plurality of sub-target areas contained in the target area are obtained, the stem evenness of each sub-target area is determined, and the stem evenness of the sliver is determined according to the respective corresponding stem evenness of the plurality of sub-target areas. For the thickness evenness, the image can be divided into a plurality of sub-areas, the thickness evenness of each sub-area is determined, and the thickness evenness of the sliver is determined according to the respective corresponding thickness evenness of the plurality of sub-areas. After the stem evenness and the thickness evenness of the sliver are determined, the electronic device can send the stem evenness and the thickness evenness as two quality indexes to the slivering machine, so that the slivering machine performs self-adjusting evenness according to the received quality indexes.

[0079] The embodiment of the application can obtain the image of the sliver collected by the image collection device, one side of the sliver is provided with the image collection device, and the other side is provided with a parallel light plate that emits light. The light emitted by the light plate penetrates the sliver and is captured by the image collection device. The brightness change of the pixel points in different areas in the image can indicate the thickness and thickness of the sliver. According to the brightness of each pixel point in the image, a target area in which the brightness of the pixel point does not exceed a preset brightness threshold can be determined from the image. The target area corresponds to an area blocked by the sliver. The stem evenness and the thickness evenness can be accurately determined, so that the slivering machine performs self-adjusting evenness according to the stem evenness and the thickness evenness. The application can detect the stem evenness and the thickness evenness of the sliver output by the slivering machine in real time and accurately, and improve the sliver quality and the detection efficiency.

[0080] In one possible implementation of the embodiment of the application, the image of the sliver collected by the image collection device is obtained, and the image collection device comprises:

[0081] The output speed of the slivering machine is obtained.

[0082] The collection frequency of the image collection device is determined according to the output speed and the length of the sliver collected by the image collection device in one collection, so that the image collection device collects the image of the sliver according to the collection frequency.

[0083] The image of the sliver collected by the image collection device is obtained.

[0084] In the embodiment, when the drawing frame starts to work, an initial acquisition frequency can be set first, so that the image acquisition device acquires images of the slivers according to the initial acquisition frequency. The length of a single acquisition of the slivers corresponding to the image acquisition device represents the length of the slivers in the image taken by the image acquisition device in the output direction of the drawing frame. Then, the output speed of the drawing frame can be obtained through the control panel of the drawing frame at intervals of a preset time length. The unit of the output speed can be represented by the length of the slivers output by the drawing frame in a unit of time. According to the obtained output speed and the length of the slivers, the ratio of the output speed to the length of the slivers is calculated, and the obtained ratio is taken as the acquisition frequency of the image acquisition device, so as to realize the adjustment of the acquisition frequency. The initial acquisition frequency and the preset time length can be set according to actual needs.

[0085] According to the output speed of the drawing frame and the length of a single acquisition of the slivers corresponding to the image acquisition device, the embodiment of the application determines the acquisition frequency of the image acquisition device, which can ensure that the slivers output by the drawing frame can be acquired by the image acquisition device, improves the image acquisition accuracy, and improves the accuracy of the quality detection of the slivers.

[0086] In a possible implementation manner of the embodiment of the application, the target region is determined from the image according to the brightness of each pixel point in the image, including:

[0087] The initial target region is determined from the image according to the brightness of each pixel point in the image, and the initial target region contains pixel points whose brightness does not exceed a preset brightness threshold.

[0088] The edges of the initial target region are extracted to obtain the target region, and the target region contains a plurality of mutually independent sub-target regions, and each sub-target region corresponds to a fiber strip in the sliver.

[0089] In the embodiment, each pixel point in the image can be traversed, the brightness of the pixel point is compared with the preset brightness threshold, all pixel points in the image whose brightness does not exceed the preset brightness threshold are marked, and all the marked pixel points form the initial target region. Further, the edges of the initial target region can be extracted through image segmentation or region growing technology to obtain the target region with clear boundaries. As shown in FIG. 2, each fiber strip corresponds to a shadow area in the image. Figure 3

[0090] According to the brightness of each pixel point in the image, the initial target region containing pixel points whose brightness does not exceed the preset brightness threshold is determined from the image in the embodiment of the application, and the edges of the initial target region are further extracted, so that the target region with clear boundaries can be obtained, and the extraction quality and efficiency of the target region are improved.

[0091] In a possible implementation manner of the embodiment of the application, the method further includes:

[0092] ​Acquire the target image of the luminous target light plate captured by the target image acquisition device. The relative position of the target image acquisition device and the target light plate is the same as the relative position of the image acquisition device and the light plate.

[0093] Determine the brightness of each pixel in the target image;

[0094] Determine the brightness range of the target image based on the brightness of each pixel in the target image;

[0095] Determine the preset brightness threshold based on the brightness range.

[0096] In this embodiment, the target image acquisition device and Figure 1 The image acquisition devices in the image acquisition can be the same device or devices with the same performance, and the target light plate and Figure 1 The light plates in the image can be the same light plate or light plates with the same luminous properties. The relative position between the target image acquisition device and the target light plate is set to be the same as that of the target light plate. Figure 1 The image acquisition device and the light panel are positioned relative to each other. The target image acquisition device acquires a picture of the target light panel as the target image, and the brightness of each pixel in the target image is determined. The target light panel and... Figure 1 Since the light-emitting performance of the intermediate light plate is the same, the target light plate also emits uniform parallel light. Ideally, the brightness of each pixel in the target image is the same. However, in real-world scenarios, due to limitations in device performance and environmental interference, the brightness of each pixel in the obtained target image will have slight fluctuations. Based on the brightness of each pixel in the target image, the minimum and maximum brightness values ​​of the pixels in the target image can be determined. The range between the minimum and maximum brightness values ​​is the corresponding brightness range of the target image. Furthermore, the minimum value in the brightness range can be used as a preset brightness threshold, or a brightness value can be manually selected from the brightness range as the preset brightness threshold. This embodiment does not impose specific limitations.

[0097] This application embodiment acquires a target image of a luminous target light plate acquired by a target image acquisition device. The target image represents an image without any strips obstructing it. Based on the brightness of each pixel in the target image, the brightness range corresponding to each pixel in the target image is determined. Then, a preset brightness threshold is determined based on the brightness range, which improves the efficiency and accuracy of determining the preset brightness threshold.

[0098] One possible implementation of this application embodiment involves determining the uniformity of the strips based on the target region, including:

[0099] Obtain multiple width values ​​for each sub-target region in the target direction, which is perpendicular to the output direction of the drawing frame;

[0100] Determine the difference between each width value and the preset standard width value among the plurality of width values corresponding to the initial sub-target region, to obtain a plurality of difference values corresponding to the initial sub-target region, and the initial sub-target region is any one of the plurality of sub-target regions corresponding to the target region;

[0101] Determine the sub-streak uniformity of the initial sub-target region according to the plurality of difference values corresponding to the initial sub-target region;

[0102] Determine the streak uniformity according to the sub-streak uniformity of each sub-target region.

[0103] Figure 4 The schematic diagram for determining the streak uniformity provided by the embodiment of the present application, the target region is Figure 4 Each independent shadow region is a sub-target region, and one fiber streak blocks the light emitted by the light plate to form an independent shadow region. One sub-target region corresponds to one fiber streak, and the target direction is Figure 4 The dotted line direction in the figure. For the obtained image, the image can be divided according to a preset width in the output direction of the drawing frame, and the preset width is Figure 4 The distance between the adjacent two dotted lines in the figure, and the plurality of dotted lines divide the image into a plurality of regions. The preset width can be set according to actual needs. Any sub-target region in the target region is taken as an initial sub-target region, and the plurality of dotted lines divide the initial sub-target region into a plurality of segments. At each dotted line division, a width value of the initial sub-target region in the target direction can be measured, that is Figure 4 AB in the figure. A plurality of width values of the initial sub-target region are obtained, and the preset standard width value is determined according to actual production needs. The difference between each width value of the initial sub-target region and the preset standard width value is calculated to obtain a plurality of difference values corresponding to the initial sub-target region. The difference value can measure the deviation between the fiber streak corresponding to the initial sub-target region and the standard.

[0104] Further, the average difference value of the plurality of difference values and the standard deviation of the plurality of difference values can be calculated, the obtained average difference value can be compared with a preset average difference value threshold, and the obtained standard deviation can be compared with a preset standard deviation threshold. If the average difference value does not exceed the preset average difference value threshold, it indicates that the average difference value of the initial sub-target region meets the corresponding standard, and if the average difference value exceeds the preset average difference value threshold, it indicates that the average difference value of the initial sub-target region does not meet the corresponding standard. If the standard deviation does not exceed the preset standard deviation threshold, it indicates that the standard deviation of the initial sub-target region meets the corresponding standard, and if the standard deviation exceeds the preset standard deviation threshold, it indicates that the standard deviation of the initial sub-target region does not meet the corresponding standard. Further, if any one of the average difference value and the standard deviation corresponding to the initial sub-target region does not meet the corresponding standard, the fiber strip corresponding to the initial sub-target region is marked as substandard, the total number of the plurality of sub-target regions corresponding to the target region and the number of sub-standard sub-target regions in the plurality of sub-target regions are determined, the ratio of the number of sub-standard sub-target regions to the total number is calculated as the substandard rate of the strip sub.

[0105] In addition, the unevenness rate of the initial sub-target region can also be calculated, and the unevenness rate = standard deviation / average difference value x 100%. After obtaining the respective unevenness rates of the plurality of sub-target regions corresponding to the target region, the average unevenness rate of the respective unevenness rates of the plurality of sub-target regions can be calculated. After determining the substandard rate and the average unevenness rate of the strip sub, the substandard rate and the average unevenness rate can be weighted and summed to obtain the strip evenness of the strip sub. The respective weights of the substandard rate and the average unevenness rate can be set according to experience.

[0106] Further, the self-adjusting uniformity condition can be set according to experience. Optionally, when the strip evenness of the strip sub does not meet the corresponding standard, or the average unevenness rate of the strip sub does not meet the corresponding standard, or the substandard rate of the strip sub does not meet the corresponding standard, the drawing frame is prompted to perform self-adjusting uniformity.

[0107] The embodiment of the present application obtains a target image of a light-emitting target light plate collected by a target image collection device, the target image represents an image without strip sub shielding, determines a brightness range corresponding to a pixel point in the target image according to the brightness of each pixel in the target image, and then determines a preset brightness threshold according to the brightness range, thereby improving the determination efficiency and accuracy of the preset brightness threshold.

[0108] In one possible implementation of the embodiment of the present application, the thickness uniformity of the strip sub is determined according to the brightness of each pixel point in the image, which includes:

[0109] The image is divided into a plurality of sub-regions;

[0110] According to the brightness of each pixel in the image, the average brightness of each sub-region in the plurality of sub-regions and the overall average brightness of the image are determined.

[0111] According to the average brightness of each of the plurality of sub-regions and the overall average brightness of the image, the thickness uniformity of the strip is determined.

[0112] In one possible case, the first method for determining the thickness uniformity is to divide the image into a plurality of sub-regions with equal areas by means of the dashed lines in FIG. 1, the number of the plurality of sub-regions can be flexibly set, and the number of the plurality of sub-regions is denoted as a first number. Figure 5 In the first method, the image is divided into a plurality of sub-regions with equal areas by means of the dashed lines in FIG. 1, the number of the plurality of sub-regions can be flexibly set, and the number of the plurality of sub-regions is denoted as a first number. Figure 5 In the first method, the image is divided into a plurality of sub-regions with equal areas by means of the dashed lines in FIG. 1, the number of the plurality of sub-regions can be flexibly set, and the number of the plurality of sub-regions is denoted as a first number.

[0113] In another possible case, the first method for determining the thickness uniformity is to divide the image into a plurality of sub-regions with equal areas by means of the dashed lines in FIG. 1, the number of the plurality of sub-regions can be flexibly set, and the number of the plurality of sub-regions is denoted as a first number. Figure 5 In the first method, the image is divided into a plurality of sub-regions with equal areas by means of the dashed lines in FIG. 1, the number of the plurality of sub-regions can be flexibly set, and the number of the plurality of sub-regions is denoted as a first number. Figure 5 In the first method, the image is divided into a plurality of sub-regions with equal areas by means of the dashed lines in FIG. 1, the number of the plurality of sub-regions can be flexibly set, and the number of the plurality of sub-regions is denoted as a first number. Figure 5 In the first method, the image is divided into a plurality of sub-regions with equal areas by means of the dashed lines in FIG. 1, the number of the plurality of sub-regions can be flexibly set, and the number of the plurality of sub-regions is denoted as a first number.

[0114] Further, the user can input a selection instruction to select the first method or the second method to calculate the thickness uniformity.

[0115] Further, the method further comprises:

[0116] obtaining a first thickness uniformity of the sliver by the first method, and determining whether the first thickness uniformity exceeds a first threshold value;

[0117] if the first thickness uniformity does not exceed the first threshold value, determining that the thickness uniformity of the sliver does not meet the standard;

[0118] obtaining a second thickness uniformity of the sliver by the second method, and determining whether the second thickness uniformity exceeds a second threshold value;

[0119] if the second thickness uniformity does not exceed the second threshold value, determining that the thickness uniformity of the sliver does not meet the standard;

[0120] if the second thickness uniformity exceeds the second threshold value, determining that the thickness uniformity of the sliver meets the standard.

[0121] The first threshold value and the second threshold value can be set according to experience, and the first threshold value is greater than the second threshold value. When the thickness uniformity of the sliver does not meet the standard, the drawing frame can be prompted to perform self-adjustment.

[0122] In the embodiment of the application, the image is divided into multiple regions, the brightness of each region represents the brightness of a partial region of the image, and the thickness distribution of the sliver can be determined according to the average brightness of each sub-region. Compared with a region with higher brightness, a region with lower brightness indicates that the sliver is thicker, and the accuracy of the thickness uniformity of the sliver is improved.

[0123] In one possible implementation of the embodiment of the application, the thickness uniformity of the sliver is determined according to the average brightness of each sub-region and the overall average brightness of the image, and includes:

[0124] determining a first number of the multiple sub-regions;

[0125] determining a brightness difference value between the average brightness of each sub-region and the overall average brightness of the image, to obtain a first number of brightness difference values;

[0126] comparing each brightness difference value with a preset brightness difference value, and determining a second number of brightness difference values that exceed the preset brightness difference value from the first number of brightness difference values;

[0127] determining the thickness uniformity of the sliver according to the first number and the second number.

[0128] In the embodiment of the application, the average brightness of each region and the overall average brightness are compared, the thickness distribution of the sliver can be analyzed, each brightness difference value is compared with a preset brightness difference value, and the brightness difference value that does not meet the standard, i.e., exceeds the preset brightness difference value, can be determined. The thickness uniformity can be determined according to the number of brightness difference values that do not meet the standard and the total number of the multiple brightness difference values, and the determination efficiency and accuracy of the thickness uniformity are improved.

[0129] The above embodiment introduces a drawing frame output quality detection method from the perspective of a method flow. The following embodiment introduces a drawing frame output quality detection device from the perspective of a virtual module or a virtual unit. Details are shown in the following embodiment.

[0130] The embodiment of the present application provides a drawing frame output quality detection device. As shown in the figure, the device can include: Figure 6

[0131] The acquisition module 601 is configured to acquire an image of the sliver collected by the image collection device. One side of the sliver is provided with the image collection device, and the other side of the sliver is provided with a parallel light plate that emits light. The shooting direction of the image collection device is opposite to the light-emitting direction of the light plate.

[0132] The first determination module 602 is configured to determine the brightness of each pixel point in the image.

[0133] The second determination module 603 is configured to determine a target region from the image according to the brightness of each pixel point in the image. The target region is a region in the image in which the brightness of the pixel points does not exceed a preset brightness threshold.

[0134] The third determination module 604 is configured to determine the sliver stem uniformity of the sliver according to the target region, determine the thickness uniformity of the sliver according to the brightness of each pixel point in the image, and prompt the drawing frame to self-adjust the uniformity according to the sliver stem uniformity and the thickness uniformity.

[0135] In a preferred example, the acquisition module 601, when acquiring the image of the sliver collected by the image collection device, is specifically configured to:

[0136] Acquire the output speed of the drawing frame.

[0137] Determine the collection frequency of the image collection device according to the output speed and the length of the sliver collected by the image collection device in a single collection, so that the image collection device collects the image of the sliver according to the collection frequency.

[0138] Acquire the image of the sliver collected by the image collection device.

[0139] In a preferred example, the second determination module 603, when determining the target region from the image according to the brightness of each pixel point in the image, is specifically configured to:

[0140] Determine an initial target region from the image according to the brightness of each pixel point in the image, in which the brightness of the pixel points does not exceed the preset brightness threshold.

[0141] ​Edge extraction is performed on the initial target region to obtain a target region, the target region containing a plurality of mutually independent sub-target regions, each sub-target region corresponding to one of the fiber strips in the strip.

[0142] The application can be further configured in a preferred example as follows: the device further comprises a fourth determination module, specifically configured to:

[0143] A target image of a light-emitting target light plate collected by a target image collection device is obtained, the relative position of the target image collection device and the target light plate being the same as the relative position of the image collection device and the light plate.

[0144] The brightness of each pixel point in the target image is determined.

[0145] The brightness range corresponding to the target image is determined according to the brightness of each pixel point in the target image.

[0146] The preset brightness threshold is determined according to the brightness range.

[0147] The application can be further configured in a preferred example as follows: the third determination module 604, when determining the strip stem uniformity of the strip according to the target region, is specifically configured to:

[0148] A plurality of width values of each sub-target region in a target direction perpendicular to the output direction of the doubling machine are obtained.

[0149] The difference between each width value and a preset standard width value in the plurality of width values corresponding to the initial sub-target region is determined to obtain a plurality of difference values corresponding to the initial sub-target region, the initial sub-target region being any one of the plurality of sub-target regions corresponding to the target region.

[0150] The sub-stem uniformity of the initial sub-target region is determined according to the plurality of difference values corresponding to the initial sub-target region.

[0151] The strip stem uniformity of the strip is determined according to the sub-stem uniformity of each sub-target region.

[0152] The application can be further configured in a preferred example as follows: the third determination module 604, when determining the thickness uniformity of the strip according to the brightness of each pixel point in the image, is specifically configured to:

[0153] The image is divided into a plurality of sub-regions.

[0154] The average brightness of each sub-region in the plurality of sub-regions and the overall average brightness of the image are determined according to the brightness of each pixel point in the image.

[0155] The thickness uniformity of the strip is determined according to the average brightness corresponding to each of the plurality of sub-regions and the overall average brightness of the image.

[0156] The application can be further configured in a preferred example to: the third determination module 604 is specifically used for:

[0157] determining the first number of the plurality of sub-regions;

[0158] determining the brightness difference value of the average brightness corresponding to each of the plurality of sub-regions and the overall average brightness of the image, to obtain the first number of the brightness difference values;

[0159] comparing each brightness difference value with a preset brightness difference value, and determining the second number of the brightness difference values exceeding the preset brightness difference value from the first number of the brightness difference values;

[0160] determining the thickness uniformity of the strip according to the first number and the second number.

[0161] The application embodiment provides a sliver machine output quality detection device suitable for the above method embodiment, which will not be described here.

[0162] An electronic device is provided in the application embodiment, as shown in Figure 7 , the electronic device 700 shown in Figure 7 includes a processor 701 and a memory 703. Wherein, the processor 701 and the memory 703 are connected, such as connected through a bus 702. Optionally, the electronic device 700 can also include a transceiver 704. It should be noted that in actual application, the transceiver 704 is not limited to one, and the structure of the electronic device 700 does not constitute a limitation on the application embodiment.

[0163] The processor 701 can be a CPU (Central Processing Unit, central processor), a general-purpose processor, a DSP (Digital Signal Processor, data signal processor), an ASIC (Application Specific Integrated Circuit, application specific integrated circuit), an FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It can realize or execute various exemplary logical blocks, modules and circuits described in combination with the disclosure content. The processor 701 can also be a combination of computing functions, such as one or more microprocessor combinations, combinations of DSP and microprocessor, etc.

[0164] The bus 702 can include a path that transmits information between the above components. The bus 702 can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, or the like. The bus 702 can be divided into an address bus, a data bus, a control bus, and the like. For convenience of representation, Figure 7 Only one thick line is used to represent the bus in the middle, but it does not mean that there is only one bus or one type of bus.

[0165] The memory 703 can be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to this.

[0166] The memory 703 is used to store application program codes for implementing the scheme of the present application, and is controlled by the processor 701 to execute. The processor 701 is used to execute the application program codes stored in the memory 703 to realize the content shown in the foregoing output quality detection method embodiment of the drawing frame.

[0167] Figure 7 The electronic device shown is only an example, and should not bring any limitation to the function and use range of the embodiments of the present application.

[0168] The embodiments of the present application provide a computer readable storage medium, and the computer readable storage medium stores a computer program. When the computer program runs on a computer, the computer can execute the corresponding content in the foregoing method embodiments.

[0169] It should be understood that although the steps in the flowcharts of the drawings are shown in a sequential order following the arrows, the steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated otherwise herein, the execution of the steps is not strictly limited to the order indicated by the arrows, and can be executed in other orders. Moreover, at least some of the steps in the flowcharts of the drawings can include multiple sub-steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution order of which is not necessarily sequential, but can be round-robin or alternately executed with at least part of other steps or sub-steps or stages of other steps.

[0170] The above is only some embodiments of the present application, and it should be pointed out that for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, which should also be considered as the protection scope of the present application.

Claims

1. A method for detecting the output quality of a drawing frame, characterized in that, include: The image acquisition device captures an image of a strip, wherein the image acquisition device is disposed on one side of the strip and a parallel light plate that emits light is disposed on the other side of the strip, and the shooting direction of the image acquisition device is opposite to the light emission direction of the light plate; Determine the brightness of each pixel in the image; Based on the brightness of each pixel in the image, a target region is determined from the image, wherein the target region is a region in the image where the brightness of the pixels does not exceed a preset brightness threshold; Based on the target area, the uniformity of the strip length is determined, and based on the brightness of each pixel in the image, the uniformity of the strip thickness is determined. Based on the uniformity of the strip length and the uniformity of the thickness, the striping machine is prompted to perform self-adjustment and uniformity.

2. The method for detecting the output quality of a drawing frame according to claim 1, characterized in that, Acquire images of the strips captured by the image acquisition device, including: Obtain the output speed of the drawing frame; Based on the output speed and the length of the strip captured in a single acquisition by the image acquisition device, the acquisition frequency of the image acquisition device is determined so that the image acquisition device acquires the image of the strip at the acquisition frequency; Acquire the image of the strip captured by the image acquisition device.

3. The method for detecting the output quality of a drawing frame according to claim 1, characterized in that, Determining a target region from the image based on the brightness of each pixel includes: Based on the brightness of each pixel in the image, an initial target area is determined from the image in which the brightness of all pixels does not exceed a preset brightness threshold. Edge extraction is performed on the initial target region to obtain the target region, which contains multiple independent sub-target regions, each sub-target region corresponding to a fiber strip in the strip.

4. The method for detecting the output quality of a drawing frame according to claim 3, characterized in that, The method further includes: Acquire a target image of a luminous target light panel acquired by a target image acquisition device, wherein the relative position of the target image acquisition device and the target light panel is the same as the relative position of the image acquisition device and the light panel; Determine the brightness of each pixel in the target image; The brightness range of the target image is determined based on the brightness of each pixel in the target image. The preset brightness threshold is determined based on the brightness range.

5. The method for detecting the output quality of a drawing frame according to claim 1, characterized in that, Determining the uniformity of the strips based on the target region includes: Obtain multiple width values ​​for each sub-target region in the target direction, wherein the target direction is perpendicular to the output direction of the drawing frame; Determine the difference between each of the multiple width values ​​corresponding to the initial sub-target region and the preset standard width value to obtain multiple differences corresponding to the initial sub-target region. The initial sub-target region is any one of the multiple sub-target regions corresponding to the target region. The uniformity of the sub-strips in the initial sub-target region is determined based on multiple differences corresponding to the initial sub-target region. The uniformity of the strip is determined based on the uniformity of the strips in each sub-target region.

6. The method for detecting the output quality of a drawing frame according to claim 1, characterized in that, Determining the thickness uniformity of the strip based on the brightness of each pixel in the image includes: The image is divided into multiple sub-regions; Based on the brightness of each pixel in the image, determine the average brightness of each of the plurality of sub-regions, and the overall average brightness of the image; The thickness uniformity of the strip is determined based on the average brightness of each of the multiple sub-regions and the overall average brightness of the image.

7. The method for detecting the output quality of a drawing frame according to claim 6, characterized in that, Determining the thickness uniformity of the stripe based on the average brightness of each of the multiple sub-regions and the overall average brightness of the image includes: Determine a first number of the plurality of sub-regions; Determine the brightness difference between the average brightness of each sub-region and the overall average brightness of the image to obtain a first number of brightness differences; Each brightness difference is compared with a preset brightness difference, and a second number of brightness differences exceeding the preset brightness difference is determined from the first number of brightness differences. The thickness uniformity of the strip is determined based on the first quantity and the second quantity.

8. A device for detecting the output quality of a drawing frame, characterized in that, include: An acquisition module is used to acquire an image of a strip captured by an image acquisition device. The image acquisition device is provided on one side of the strip, and a parallel light plate that emits light is provided on the other side of the strip. The shooting direction of the image acquisition device is opposite to the light emission direction of the light plate. The first determining module is used to determine the brightness of each pixel in the image; The second determining module is used to determine a target region from the image based on the brightness of each pixel in the image, wherein the target region is a region in the image where the brightness of the pixels does not exceed a preset brightness threshold. The third determining module is used to determine the uniformity of the strip's stem based on the target area, determine the uniformity of the strip's thickness based on the brightness of each pixel in the image, and prompt the striping machine to perform self-adjustment based on the uniformity of the strip's stem and the uniformity of its thickness.

9. An electronic device, characterized in that, include: At least one processor; Memory; At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, said at least one application being configured to: perform the draw frame output quality detection method according to any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed in the computer, the computer is instructed to perform the drawing frame output quality detection method according to any one of claims 1-7.

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