Method and apparatus for detecting recycled bottle grade polyester chips

Abstract

The application is suitable for the technical field of regenerated bottle-grade polyester chip, and particularly relates to a regenerated bottle-grade polyester chip detection method and device.The method comprises the following steps: obtaining chip information; wherein the chip information comprises surface information and internal information; obtaining a detection model based on the chip information; wherein the detection model comprises at least one first feature information and at least one second feature information, the first feature information corresponds to an impurity on one regenerated bottle-grade polyester chip, and the second feature information corresponds to a cavity in one regenerated bottle-grade polyester chip; obtaining a detection result based on the detection model; wherein the detection result comprises information reflecting the quality of the regenerated bottle-grade polyester chip.The regenerated bottle-grade polyester chip detection method and device provided in the application embodiment can improve the problem that the cavities and impurities in the regenerated bottle-grade polyester chip cause the quality of the regenerated bottle-grade polyester chip to decrease.

Description

Technical Field

[0001] This application belongs to the field of recycled bottle-grade polyester chips technology, and particularly relates to a method and equipment for testing recycled bottle-grade polyester chips. Background Technology

[0002] Recycled bottle-grade polyester is a polymer material that is processed and reused by recycling waste polyester products (especially waste polyester bottles, such as beverage bottles). It is also known as recycled polyester. Recycled bottle-grade polyester can be made into various types of packaging materials, such as plastic bottles, plastic bags, foam plastics, etc., and is particularly suitable for bottle packaging.

[0003] In related technologies, during the production of recycled bottle-grade polyester chips, improper control of raw materials or process parameters may lead to the formation of voids inside the chips, weakening the overall structural strength of the recycled bottle-grade polyester chips. Furthermore, since the raw materials for recycled bottle-grade polyester chips usually come from recycled polyester bottles, these bottles may be mixed with various impurities such as soil, sand, and metal fragments during the recycling process, which may lead to a decline in chip quality. Summary of the Invention

[0004] This application provides a method and equipment for detecting recycled bottle-grade polyester chips, which can improve the problem of reduced quality of recycled bottle-grade polyester chips caused by voids and impurities.

[0005] In a first aspect, embodiments of this application provide a method for detecting recycled bottle-grade polyester chips, including: Acquire slice information; wherein, the slice information includes surface information and internal information, the surface information includes at least one surface image, the surface image includes at least one first positioning point, the surface image reflects the surface state of the recycled bottle-grade polyester slice, and the internal information includes an internal model reflecting the internal structure of the recycled bottle-grade polyester slice and at least one second positioning point marked on the internal model, each corresponding to the first positioning point. A detection model is obtained based on the slice information; wherein, the detection model includes at least one first feature information and at least one second feature information, the first feature information corresponds to an impurity on a recycled bottle-grade polyester slice, the second feature information corresponds to a void in a recycled bottle-grade polyester slice, and the detection model reflects the physical structure of the recycled bottle-grade polyester slice; The detection results are obtained based on the detection model; wherein, the detection results include information reflecting the quality of the recycled bottle-grade polyester chips.

[0006] The technical solutions described in this application embodiment have at least the following technical effects: The method for detecting recycled bottle-grade polyester chips provided in this application first acquires slice information, including surface information reflecting the surface state of the recycled bottle-grade polyester chips and internal information reflecting the internal structure of the recycled bottle-grade polyester chips, to provide a basis for subsequent steps. Then, based on the slice information, a detection model is obtained, including at least one first feature information reflecting impurities and at least one second feature information reflecting voids, to support the analysis of the quality of the recycled bottle-grade polyester chips. Finally, based on the detection model, a detection result reflecting the quality of the recycled bottle-grade polyester chips is obtained, providing a reference for users to judge the quality of the recycled bottle-grade polyester chips and improving the problem of quality degradation of recycled bottle-grade polyester chips caused by voids and impurities within the chips.

[0007] In one possible implementation of the first aspect, obtaining the slice information includes: Send first control information to the drying device; wherein the first control information is used to instruct the drying device to remove moisture from the recycled bottle-grade polyester chips, and the drying device is a device of the recycled bottle-grade polyester chip detection equipment capable of removing moisture from the recycled bottle-grade polyester chips. Sending second control information to an image acquisition device to obtain the surface information; wherein, the second control information is used to instruct the image acquisition device to capture the surface image of the recycled bottle-grade polyester chip, and the image acquisition device is a device of the recycled bottle-grade polyester chip detection equipment capable of acquiring an image of the surface of the recycled bottle-grade polyester chip; The internal information is obtained by sending a third control message to the internal structure acquisition device; wherein, the third control message is used to instruct the internal structure acquisition device to acquire the internal structure of the recycled bottle-grade polyester chip, and the internal structure acquisition device is a device of the recycled bottle-grade polyester chip detection equipment that is capable of acquiring the internal structure of the recycled bottle-grade polyester chip. The surface information and the internal information are confirmed as the slice information.

[0008] In one possible implementation of the first aspect, obtaining the detection model based on the slice information includes: The surface image is input into a surface analysis model to obtain surface analysis information; wherein, the analysis information includes the surface image and at least one of the first feature information annotated on the surface image; The internal model is input into the internal analysis model to obtain internal analysis information; wherein, the internal analysis information includes the internal model and at least one first feature information and at least one second feature information labeled on the internal model; The surface image from the surface analysis information is mapped onto the internal model from the internal analysis information according to the correspondence between the first and second positioning points, thus obtaining the detection model.

[0009] In one possible implementation of the first aspect, obtaining the detection result based on the detection model includes: Based on the detection model, detection region information is obtained; wherein, the detection region information includes multiple detection regions, each detection region corresponds to a hole reflected by the second feature information, and the detection region reflects a portion of the region range within the detection model; Regional detection information is obtained based on the detection area information; wherein, the regional detection information includes at least one first detection result and at least one second detection result, the first detection result reflecting whether the quality of a certain area of ​​the recycled bottle-grade polyester chips is qualified, and the second detection result reflecting whether the quality of a certain area of ​​the recycled bottle-grade polyester chips is qualified. The detection result is obtained based on the regional detection information.

[0010] In one possible implementation of the first aspect, obtaining the detection region information based on the detection model includes: The radius of influence is obtained based on the second feature information; wherein the radius of influence corresponds to the void reflected by the second feature information. The detection area is obtained by drawing a sphere with the center of gravity of the cavity reflected by the second feature information as the center of the sphere and the value reflected by the influence radius as the radius; All the detection areas corresponding to the holes reflected by the second feature information are identified as the detection area information.

[0011] In one possible implementation of the first aspect, obtaining the influence radius based on the second feature information includes: Obtain the total volume value; wherein the total volume value reflects the volume of the recycled bottle-grade polyester chips; Obtain the cavity volume value; wherein the cavity volume value reflects the volume occupied by the cavity corresponding to the second feature information; Divide the cavity volume value by the total volume value to obtain the ratio of the cavity volume value to the total volume value; The radius of influence is obtained by multiplying the ratio of the void volume to the total volume by a preset radius value.

[0012] In one possible implementation of the first aspect, obtaining region detection information based on the detection region information includes: The overlapping portions of the detection regions in the detection region information are identified as first region information; wherein, the first region information includes at least one first region and at least one constituent quantity corresponding to the first region, the first region is the portion reflecting the overlap of at least two detection regions, and the constituent quantity is the number of detection regions that overlap to form the first region. The portion of each detection area in the detection area information that does not overlap with other detection areas is identified as second area information; wherein, the second area information includes at least one second area, the second area reflecting the portion of the detection area that does not overlap with other detection areas; The region detection information is obtained based on the first region information and the second region information.

[0013] In one possible implementation of the first aspect, obtaining the region detection information based on the first region information and the second region information includes: Determine whether the first impurity ratio is greater than the first preset impurity ratio; wherein, the first impurity ratio is the sum of the first region impurity ratio and the dynamic adjustment value, the first region impurity ratio is the ratio of the sum of the volumes of all the impurities reflected by the second feature information included in the first region information to the volume occupied by the first region, each first region corresponds to one first impurity ratio, and the dynamic adjustment value is the value obtained by subtracting 2 from the number of components corresponding to the first region and then multiplying by the first region impurity ratio; If the first impurity ratio is greater than the first preset impurity ratio, the first test result reflecting unqualified quality is obtained; if the first impurity ratio is less than or equal to the first preset impurity ratio, the first test result reflecting qualified quality is obtained. Determine whether the second impurity ratio is greater than the second preset impurity ratio; wherein, the second impurity ratio is the ratio of the sum of the volumes of all impurities reflected by the second feature information included in the second region information to the volume occupied by the second region; If the second impurity ratio is greater than the second preset impurity ratio, a second test result reflecting unqualified quality is obtained; if the second impurity ratio is less than or equal to the second preset impurity ratio, a second test result reflecting qualified quality is obtained. All the first detection results and second detection results obtained after analyzing all the first and second regions are confirmed as the region detection information.

[0014] In one possible implementation of the first aspect, obtaining the detection result based on the region detection information includes: Determine whether the first detection result and / or the second detection result in the area detection information reflect a quality failure; If the first detection result and / or the second detection result in the area detection information reflect that the quality is unqualified, then the detection result reflecting that the quality of the recycled bottle-grade polyester chips is unqualified is obtained, and the first detection result and / or the second detection result reflecting the quality is unqualified is sent to the user; If the first test result and / or the second test result do not reflect a quality failure in the regional test information, then the test result reflecting that the recycled bottle-grade polyester chips are of acceptable quality is obtained.

[0015] Secondly, embodiments of this application provide a system for detecting recycled bottle-grade polyester chips, comprising: An acquisition unit is used to acquire slice information; wherein, the slice information includes surface information and internal information, the surface information includes at least one surface image, the surface image includes at least one first positioning point, the surface image reflects the surface state of the recycled bottle-grade polyester slice, and the internal information includes an internal model reflecting the internal structure of the recycled bottle-grade polyester slice and at least one second positioning point marked on the internal model, which corresponds to the first positioning point respectively. The first analysis unit is used to obtain a detection model based on the slice information; wherein the detection model includes at least one first feature information and at least one second feature information, the first feature information corresponds to an impurity on a recycled bottle-grade polyester slice, the second feature information corresponds to a void in a recycled bottle-grade polyester slice, and the detection model reflects the physical structure of the recycled bottle-grade polyester slice. The second analysis unit is used to obtain detection results based on the detection model; wherein the detection results include information reflecting the quality of the recycled bottle-grade polyester chips.

[0016] Thirdly, embodiments of this application provide a recycled bottle-grade polyester chip testing device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method described in any one of the first aspects above.

[0017] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method described in any one of the first aspects above.

[0018] Fifthly, embodiments of this application provide a computer program product that, when run on a recycled bottle-grade polyester chip inspection device, causes the recycled bottle-grade polyester chip inspection device to perform the recycled bottle-grade polyester chip inspection method described in any of the first aspects above.

[0019] It is understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a schematic flowchart of a method for detecting recycled bottle-grade polyester chips provided in an embodiment of this application; Figure 2 This is a flowchart illustrating step S200 in a method for detecting recycled bottle-grade polyester chips provided in an embodiment of this application. Figure 3 This is a flowchart illustrating step S300 in a method for detecting recycled bottle-grade polyester chips provided in an embodiment of this application. Figure 4 This is a flowchart illustrating step S323 in the method for detecting recycled bottle-grade polyester chips provided in an embodiment of this application. Figure 5 This is a flowchart illustrating step S330 in the method for detecting recycled bottle-grade polyester chips provided in an embodiment of this application. Figure 6 This is a schematic diagram of the structure of a recycled bottle-grade polyester chip detection system provided in one embodiment of this application; Figure 7 This is a schematic diagram of the structure of a recycled bottle-grade polyester chip testing device provided in one embodiment of this application. Detailed Implementation

[0022] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0023] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0024] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0025] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0026] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0027] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0028] In related technologies, during the production of recycled bottle-grade polyester chips, improper control of raw materials or process parameters may lead to the formation of voids inside the chips, weakening the overall structural strength of the recycled bottle-grade polyester chips. Furthermore, since the raw materials for recycled bottle-grade polyester chips usually come from recycled polyester bottles, these bottles may be mixed with various impurities such as soil, sand, and metal fragments during the recycling process, which may lead to a decline in chip quality.

[0029] To address the aforementioned problems, this application provides a method and apparatus for detecting recycled bottle-grade polyester chips. The method first acquires slice information, including surface information reflecting the surface state of the recycled bottle-grade polyester chips and internal information reflecting the internal structure of the chips, providing a basis for subsequent steps. Then, based on the slice information, a detection model is obtained, including at least one first feature information reflecting impurities and at least one second feature information reflecting voids, supporting the analysis of the quality of the recycled bottle-grade polyester chips. Finally, based on the detection model, a detection result reflecting the quality of the recycled bottle-grade polyester chips is obtained, providing a reference for users to judge the quality of the recycled bottle-grade polyester chips and improving the problem of quality degradation caused by voids and impurities within the recycled bottle-grade polyester chips.

[0030] The method for detecting recycled bottle-grade polyester chips provided in this application embodiment can be applied to recycled bottle-grade polyester chip detection equipment. In this case, the recycled bottle-grade polyester chip detection equipment is the executing entity of the method for detecting recycled bottle-grade polyester chips provided in this application embodiment. This application embodiment does not impose any restrictions on the specific type of recycled bottle-grade polyester chip detection equipment.

[0031] For example, a recycled bottle-grade polyester chip inspection device may include a control device, a drying device, an image acquisition device, and an internal structure acquisition device. The control device is communicatively connected to the drying device, the image acquisition device, and the internal structure acquisition device, and can be a desktop computer, a cloud server, or other computing device, but is not limited to these. The drying device is a device capable of removing moisture from the surface and interior of the recycled bottle-grade polyester chips; for example, it can be a hot air blower, a resistance heater, etc., but is not limited to these. The image acquisition device is a device capable of capturing images of the surface of the recycled bottle-grade polyester chips; for example, it can be a digital camera or an analog camera, but is not limited to these. The internal structure acquisition device is a device capable of scanning the recycled bottle-grade polyester chips to acquire their internal physical structure. For example, the scanning device can be an ultrasonic scanner, an X-ray scanner, etc., but is not limited to these.

[0032] To better understand the method for detecting recycled bottle-grade polyester chips provided in this application, the specific implementation process of the method for detecting recycled bottle-grade polyester chips provided in this application will be described below by way of example.

[0033] Figure 1 This illustration shows a schematic flowchart of a method for detecting recycled bottle-grade polyester chips provided in an embodiment of this application. The method includes: S100, acquire slice information; wherein, slice information includes surface information and internal information, surface information includes at least one surface image, surface image includes at least one first positioning point, surface image reflects the surface state of recycled bottle grade polyester slices, internal information includes an internal model reflecting the internal structure of recycled bottle grade polyester slices and at least one second positioning point marked on the internal model corresponding to the first positioning point respectively.

[0034] It is understood that the method of acquiring slice information can be receiving data transmitted by the user, or acquiring data transmitted after scanning the recycled bottle-grade polyester slices by an image acquisition device and an internal structure acquisition device, but it is not limited to these methods. The method of determining positioning points can be the SIFT (Scale-Invariant Feature Transform) algorithm, the Harris corner detection algorithm, etc., but it is not limited to these methods. Acquiring slice information, including surface information reflecting the surface state of the recycled bottle-grade polyester slices and internal information reflecting the internal structure of the recycled bottle-grade polyester slices, can provide a basis for subsequent steps.

[0035] In one possible implementation, S100, obtaining slice information includes: S110, send first control information to the drying device; wherein, the first control information is used to instruct the drying device to remove moisture from the recycled bottle-grade polyester chips, and the drying device is a device of the recycled bottle-grade polyester chip detection equipment capable of removing moisture from the recycled bottle-grade polyester chips.

[0036] It is understood that a drying device is a device capable of removing moisture from the surface and interior of recycled bottle-grade polyester chips. For example, a drying device can be a hot air blower, a resistance heater, etc., but is not limited to these. Sending first control information to the drying device to instruct it to remove moisture from the recycled bottle-grade polyester chips can reduce the impact of moisture on test results and improve the reliability of the test results.

[0037] S120, send second control information to the image acquisition device to obtain surface information; wherein, the second control information is used to instruct the image acquisition device to capture a surface image of the recycled bottle-grade polyester chip, and the image acquisition device is a device of the recycled bottle-grade polyester chip detection equipment capable of acquiring an image of the surface of the recycled bottle-grade polyester chip.

[0038] It is understood that an image acquisition device is a device capable of capturing images of the surface of recycled bottle-grade polyester chips. For example, the image acquisition device can be a digital camera or an analog camera, but is not limited to these. Sending second control information to the image acquisition device to instruct it to capture images of the surface of the recycled bottle-grade polyester chips, and receiving data transmitted by the image acquisition device, ensures that the obtained image data corresponds to the recycled bottle-grade polyester chips being inspected.

[0039] S130, send third control information to the internal structure acquisition device to obtain internal information; wherein, the third control information is used to instruct the internal structure acquisition device to acquire the internal structure of the recycled bottle-grade polyester chips, and the internal structure acquisition device is a device of the recycled bottle-grade polyester chip detection equipment that can acquire the internal structure of the recycled bottle-grade polyester chips.

[0040] It is understood that an internal structure acquisition device is a device capable of scanning recycled bottle-grade polyester chips to acquire their internal physical structure. For example, the scanning device could be an ultrasonic scanner, an X-ray scanner, etc., but is not limited to these. Sending third control information to the internal structure acquisition device to instruct it to acquire the internal structure of the recycled bottle-grade polyester chips, and receiving the three-dimensional digital model reflecting the internal structure of the recycled bottle-grade polyester chips transmitted by the internal structure acquisition device, can provide a basis for subsequent steps.

[0041] S140, confirm the surface information and internal information as slice information.

[0042] It is understandable that identifying surface and internal information as slice information can provide a basis for subsequent steps.

[0043] S200, a detection model is obtained based on the slice information; wherein, the detection model includes at least one first feature information and at least one second feature information, the first feature information corresponds to an impurity on a recycled bottle-grade polyester slice, the second feature information corresponds to a void in a recycled bottle-grade polyester slice, and the detection model reflects the physical structure of the recycled bottle-grade polyester slice.

[0044] It is understandable that the detection model based on slice information can be obtained by attaching the surface image from the surface information included in the slice information to the surface of the three-dimensional digital model included in the internal information of the slice information, or by sending the slice information to the user and confirming the data returned by the user as the detection model, etc., but is not limited to these methods. The detection model obtained based on the slice information includes at least one first feature information reflecting impurities and at least one second feature information reflecting voids, providing support for the analysis of the quality of recycled bottle-grade polyester chips.

[0045] In one possible implementation, please refer to Figure 2 S200, a detection model is obtained based on slice information, including: S210, the surface image is input into the surface analysis model to obtain surface analysis information; wherein, the analysis information includes the surface image and at least one first feature information marked on the surface image.

[0046] It is understandable that the surface analysis model is trained using machine learning with multiple sets of data. These sets of data include a first type of data and a second type of data. Each set of data in the first type includes: at least one surface image, and first feature information on the surface image, which is analyzed and labeled manually. Each set of data in the second type includes: a surface image excluding impurities, and a label, analyzed and labeled manually, indicating the absence of impurities in the surface image. Analyzing surface images using the surface analysis model to obtain surface analysis information is more accurate and efficient than manual analysis, thus improving processing efficiency.

[0047] S220, input the internal model into the internal analysis model to obtain internal analysis information; wherein, the internal analysis information includes the internal model and at least one first feature information and at least one second feature information labeled on the internal model.

[0048] It is understandable that the internal analysis model is trained using machine learning with multiple sets of data. These sets of data include a first type of data and a second type of data. Each set of data in the first type includes: a 3D digital model, and first and second feature information of the 3D digital model, which is analyzed and labeled manually. Each set of data in the second type includes: a 3D digital model excluding voids and impurities, and labels indicating the absence of voids and impurities in the 3D digital model, which are analyzed and labeled manually. Analyzing the internal model using the internal analysis model to obtain internal analysis information is more accurate and efficient than manual analysis, thus improving processing efficiency.

[0049] S230, the surface image in the surface analysis information is attached to the internal model in the internal analysis information according to the correspondence between the first positioning point and the second positioning point to obtain the detection model.

[0050] It is understandable that the method of attaching the surface image from the surface analysis information to the internal model in the internal analysis information according to the correspondence between the first and second positioning points can be planar mapping, UV mapping, etc., but is not limited to these. By attaching the surface image from the surface analysis information to the internal model in the internal analysis information according to the correspondence between the first and second positioning points, the resulting detection model can reproduce the physical characteristics of the tested recycled bottle-grade polyester chips to the greatest extent, thus improving the accuracy of the detection results.

[0051] S300, based on the detection model, yields detection results; these results include information reflecting the quality of recycled bottle-grade polyester chips.

[0052] It is understandable that the method for obtaining test results based on the detection model could be to determine the location of voids and impurities in the detection model, or to send the detection model to the user and receive the data returned by the user, etc., but it is not limited to these methods. The test results obtained based on the detection model, reflecting the quality of recycled bottle-grade polyester chips, provide a reference for users to judge the quality of recycled bottle-grade polyester chips, and improve the problem of voids and impurities in recycled bottle-grade polyester chips causing a decline in quality.

[0053] In one possible implementation, please refer to Figure 3 S300, based on the detection model, obtains the detection results, including: S310, Detection region information is obtained based on the detection model; wherein, the detection region information includes multiple detection regions, each detection region corresponds to a hole reflected by a second feature information, and the detection region reflects a part of the region range within the detection model.

[0054] It is understandable that methods for obtaining detection area information based on the detection model could include obtaining multiple spherical detection areas centered on each impurity, or obtaining multiple spherical detection areas centered on each cavity, etc., but are not limited to these. Detection area information obtained based on the detection model, including multiple detection areas corresponding to cavities reflected by a second feature, can provide a basis for subsequent steps.

[0055] In one possible implementation, please refer to Figure 3 S310, Based on the detection model, the detection area information is obtained, including: S311, the influence radius is obtained based on the second feature information; wherein, the influence radius corresponds to the void reflected by the second feature information.

[0056] It is understandable that the method for obtaining the influence radius based on the second feature information can be based on the surface area of ​​the cavity reflected by the second feature information, or it can be based on the volume of the cavity reflected by the second feature information, etc., but is not limited to these. Obtaining the influence radius based on the second feature information can provide a basis for subsequent steps.

[0057] In one possible implementation, please refer to Figure 3 S311, the influence radius is obtained based on the second feature information, including: S3111, obtain the total volume value; where the total volume value reflects the volume of recycled bottle-grade polyester chips.

[0058] It is understandable that the total volume value can be obtained through tools that calculate model volume using 3D modeling software (such as Blender, Maya, 3ds Max, SolidWorks, etc.), or by receiving data transmitted by the user, but is not limited to these methods. Obtaining the total volume value reflecting the volume of recycled bottle-grade polyester chips can provide a basis for subsequent steps.

[0059] S3112, obtain the cavity volume value; wherein, the cavity volume value reflects the volume occupied by the cavity corresponding to the second feature information.

[0060] It is understandable that methods for obtaining cavity volume values ​​can include using Boolean operations (such as union, intersection, and difference) to calculate the cavity volume, or importing the model into professional analysis tools (such as Geomagic Studio, PolyWorks, etc.) to automatically identify the volume of cavity regions using built-in algorithms, but are not limited to these methods. Obtaining cavity volume values ​​that reflect the volume occupied by the cavity corresponding to the second feature information can provide a basis for subsequent steps.

[0061] S3113, divide the cavity volume value by the total volume value to obtain the ratio of the cavity volume value to the total volume value.

[0062] It is understandable that dividing the cavity volume by the total volume to obtain the ratio of the cavity volume to the total volume can provide a basis for subsequent steps.

[0063] For example, assuming the cavity volume is 1 cubic millimeter and the total volume is 200 cubic millimeters, the ratio of the cavity volume to the total volume is 1 / 200 = 0.005.

[0064] S3114, multiply the ratio of the cavity volume value to the total volume value by the preset radius value to obtain the influence radius.

[0065] It is understandable that the preset radius value can be 200 mm, 300 mm, etc., but is not limited to this. Multiplying the ratio of the cavity volume value to the total volume value by the preset radius value to obtain the influence radius can provide a basis for subsequent steps.

[0066] For example, assuming the ratio of the void volume to the total volume is 0.005, and the preset radius is 300 mm, then the influence radius = 0.005. 300 = 1.5 millimeters.

[0067] S312, using the center of gravity of the cavity reflected by the second feature information as the center of the sphere, and using the value reflected by the influence radius as the radius, a sphere is drawn to obtain the detection area.

[0068] It is understandable that the method for determining the centroid of the cavity reflected by the second feature information can be volume integration, fitting methods (such as least squares), etc., but is not limited to these. Using the centroid of the cavity reflected by the second feature information as the center of a sphere and the value reflected by the influence radius as the radius to draw a sphere to obtain the detection area can provide a basis for subsequent steps.

[0069] S313, all detection areas corresponding to the holes reflected by the second feature information are identified as detection area information.

[0070] It is understandable that identifying all the detection areas corresponding to the holes reflected by the second feature information as detection area information can provide a basis for subsequent steps.

[0071] S320, obtain regional detection information based on detection area information; wherein, the regional detection information includes at least one first detection result and at least one second detection result, the first detection result reflecting whether the quality of a certain area of ​​recycled bottle-grade polyester chips is qualified, and the second detection result reflecting whether the quality of a certain area of ​​recycled bottle-grade polyester chips is qualified.

[0072] It is understandable that methods for obtaining regional detection information based on detection area information can include determining the distribution of impurities and voids within each detection area, or determining the distribution of impurities and voids in the overlapping parts of each detection area, but are not limited to these methods. Obtaining regional detection information based on detection area information can provide a reference for determining whether the quality of recycled bottle-grade polyester chips is up to standard.

[0073] In one possible implementation, please refer to Figure 3 S320, Based on the detection area information, obtain area detection information, including: S321, the overlapping portion of each detection region in the detection region information is identified as the first region information; wherein, the first region information includes at least one first region and at least one constituent quantity corresponding to the first region, the first region is the portion reflecting the overlap of at least two detection regions, and the constituent quantity is the number of detection regions that overlap to form the first region.

[0074] It is understandable that methods for determining the overlapping portions of detection areas can include calculating the detection area where two bounding boxes intersect through three-dimensional Boolean operations, or obtaining it through spatial segmentation techniques, but are not limited to these methods. Identifying the overlapping portions of each detection area in the detection area information as the first region information can provide a basis for subsequent steps.

[0075] S322, the portion of each detection area in the detection area information that does not overlap with other detection areas is identified as second area information; wherein, the second area information includes at least one second area, the second area reflecting the portion of the detection area that does not overlap with other detection areas.

[0076] It is understandable that determining the portion of a detection region that does not overlap with other detection regions can be done by using bounding boxes to determine whether the detection region intersects with other detection regions, or by using Boolean operations to calculate the detection region minus the portion that overlaps with other detection regions, etc., but is not limited to these methods. Identifying the portion of each detection region in the detection region information that does not overlap with other detection regions as the second region information can provide a basis for subsequent steps.

[0077] S323, obtain region detection information based on the first region information and the second region information.

[0078] It is understandable that the method for obtaining regional detection information based on the first and second region information can be to determine the distribution of impurities and voids within the first region corresponding to each piece of first region information, or to determine the distribution of impurities and voids within the second region corresponding to each piece of second region information, etc., but is not limited to these methods. Obtaining regional detection information based on the first and second region information can provide a reference for determining whether the quality of recycled bottle-grade polyester chips is up to standard.

[0079] In one possible implementation, please refer to Figure 4 S323, Based on the first region information and the second region information, region detection information is obtained, including: S3231, determine whether the first impurity ratio is greater than the first preset impurity ratio; wherein, the first impurity ratio is the sum of the first region impurity ratio and the dynamic adjustment value, the first region impurity ratio is the ratio of the sum of the volumes of all the first feature information reflected by the first region in the first region information to the volume occupied by the first region, each first region corresponds to a first impurity ratio, and the dynamic adjustment value is the value obtained by subtracting 2 from the number of components corresponding to the first region and then multiplying by the first region impurity ratio.

[0080] It is understood that the method for calculating the volume of the impurity reflected by the first feature information can be, for example, calculating the volume occupied by the impurity using the voxel method or the integration method, but is not limited to these methods. Similarly, the method for calculating the volume occupied by the first region can be, for example, calculating the volume occupied by the first region using the voxel method or the integration method, but is not limited to these methods. Determining whether the first impurity ratio is greater than a first preset impurity ratio provides a basis for subsequent steps.

[0081] For example, assuming that the total volume of all the first feature information reflected by the first region in the first region information is 5 cubic millimeters, the volume occupied by the first region is 50 cubic millimeters, and the number of components corresponding to the first region is 3, then the impurity ratio of the first region = 5 / 50 = 0.1, and the dynamic adjustment value = (3-2). 0.1 = 0.1, the first impurity ratio = 0.1 + 0.1 = 0.2.

[0082] S3232, if the first impurity ratio is greater than the first preset impurity ratio, a first test result reflecting unqualified quality is obtained; if the first impurity ratio is less than or equal to the first preset impurity ratio, a first test result reflecting qualified quality is obtained.

[0083] It is understood that the first preset impurity ratio can be 0.2, 0.25, etc., but is not limited to these. If the first impurity ratio is greater than the first preset impurity ratio, it means that there are too many impurities in the first region or that the volume occupied by the impurities in the first region is too large. When using recycled bottle-grade polyester chips to make polyester bottles, because there are voids in the recycled bottle-grade polyester chips, the deformation rate of the recycled bottle-grade polyester chips in the affected area corresponding to the voids is greater than the deformation rate in the area of ​​the recycled bottle-grade polyester chips without voids. Because the first region is affected by multiple voids, the impurities in the first region are more likely to be exposed and come into contact with the outside world, causing adverse effects. If the first impurity ratio is less than or equal to the first preset impurity ratio, then the number of impurities in the first region is normal and the volume occupied by the impurities is normal.

[0084] S3233, determine whether the second impurity ratio is greater than the second preset impurity ratio; wherein, the second impurity ratio is the ratio of the sum of the volumes of all the first feature information reflected by the second region in the second region information to the volume occupied by the second region.

[0085] It is understood that the second preset impurity ratio can be 0.2, 0.25, etc., but is not limited to these. The method for calculating the volume of the impurity reflected by the first feature information can be to calculate the volume occupied by the impurity using the voxel method, or by calculating the volume occupied by the impurity using the integration method, etc., but is not limited to these methods. The method for calculating the volume occupied by the second region can be to calculate the volume occupied by the second region using the voxel method, or by calculating the volume occupied by the second region using the integration method, etc., but is not limited to these methods. Determining whether the second impurity ratio is greater than the second preset impurity ratio can provide a basis for subsequent steps.

[0086] S3234, if the second impurity ratio is greater than the second preset impurity ratio, a second test result reflecting unqualified quality is obtained; if the second impurity ratio is less than or equal to the second preset impurity ratio, a second test result reflecting qualified quality is obtained.

[0087] It is understandable that if the second impurity ratio is greater than the second preset impurity ratio, it indicates that there are too many impurities in the second region or that the volume occupied by the impurities in the second region is too large. When using recycled bottle-grade polyester chips to make polyester bottles, the impurities in the second region may have adverse effects. If the second impurity ratio is less than or equal to the second preset impurity ratio, then the number of impurities in the second region is normal and the volume occupied by the impurities is normal.

[0088] S3235, after the analysis of all first and second regions is completed, all first and second detection results are confirmed as regional detection information.

[0089] It is understandable that confirming all the first and second test results obtained after the analysis of all first and second regions as regional test information can provide a reference for judging whether the quality of recycled bottle-grade polyester chips is qualified.

[0090] S330 obtains detection results based on regional detection information.

[0091] It is understandable that methods for obtaining test results based on regional testing information could include determining whether there is a first or second test result reflecting substandard quality in the regional testing information, or determining the number of first or second test results reflecting substandard quality in the regional testing information, but are not limited to these methods. Test results obtained based on regional testing information can provide a reference for determining whether the quality of recycled bottle-grade polyester chips is up to standard.

[0092] In one possible implementation, please refer to Figure 5 S330, based on the area detection information, obtains the detection results, including: S331, determine whether there are first and / or second test results in the area inspection information that reflect quality non-compliance.

[0093] It is understandable that determining whether there are first and / or second test results in the regional testing information that reflect quality non-compliance can provide a basis for subsequent steps.

[0094] S332, if the regional inspection information contains a first inspection result and / or a second inspection result reflecting quality non-compliance, then the inspection result reflecting the quality non-compliance of recycled bottle-grade polyester chips is obtained, and the first inspection result and / or the second inspection result reflecting quality non-compliance is sent to the user.

[0095] It is understandable that if the regional inspection information shows that the first and / or second inspection results indicate that the quality is unqualified, it means that the inspected recycled bottle-grade polyester chips contain an excessive number of impurities or the impurities occupy too large an area, thus the quality of the recycled bottle-grade polyester chips is unqualified. Sending the first and / or second inspection results indicating unqualified quality to the user can provide a reference for the user to judge whether the quality of the recycled bottle-grade polyester chips is qualified, and improve the problem of voids and impurities in the recycled bottle-grade polyester chips causing a decline in quality.

[0096] S333, if the regional inspection information does not contain a first inspection result and / or a second inspection result reflecting that the quality is unqualified, then an inspection result reflecting that the quality of the recycled bottle-grade polyester chips is qualified is obtained.

[0097] It is understandable that if the regional inspection information does not show any first and / or second inspection results indicating substandard quality, it means that the inspected recycled bottle-grade polyester chips are free of impurities or that the quantity and area occupied by the impurities are normal. Obtaining inspection results that indicate the recycled bottle-grade polyester chips are of acceptable quality can provide users with a reference for judging whether the quality of the recycled bottle-grade polyester chips is acceptable, and can help address the problem of voids and impurities in the recycled bottle-grade polyester chips causing a decline in quality.

[0098] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0099] Corresponding to the recycled bottle-grade polyester chip detection method described in the above embodiments, this application also provides a recycled bottle-grade polyester chip detection system, wherein each unit of the system can implement each step of the recycled bottle-grade polyester chip detection method. Figure 6 The diagram shows a structural block diagram of the recycled bottle-grade polyester chip detection system provided in an embodiment of this application. For ease of explanation, only the parts related to the embodiments of this application are shown.

[0100] Reference Figure 6 The system includes: An acquisition unit is used to acquire slice information; wherein the slice information includes surface information and internal information, the surface information includes at least one surface image, the surface image includes at least one first positioning point, the surface image reflects the surface state of the recycled bottle-grade polyester slice, and the internal information includes an internal model reflecting the internal structure of the recycled bottle-grade polyester slice and at least one second positioning point marked on the internal model, each corresponding to the first positioning point.

[0101] The first analysis unit is used to obtain a detection model based on the slice information; wherein, the detection model includes at least one first feature information and at least one second feature information, the first feature information corresponds to an impurity on a recycled bottle-grade polyester slice, the second feature information corresponds to a void in a recycled bottle-grade polyester slice, and the detection model reflects the physical structure of the recycled bottle-grade polyester slice.

[0102] The second analysis unit is used to obtain the detection results based on the detection model; the detection results include information reflecting the quality of recycled bottle-grade polyester chips.

[0103] It should be noted that the information interaction and execution process between the above-mentioned units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, which will not be repeated here.

[0104] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0105] This application also provides an inspection device for recycled bottle-grade polyester chips. Figure 7 This is a schematic diagram of the structure of a recycled bottle-grade polyester chip testing device provided in one embodiment of this application. Figure 7 As shown, the recycled bottle-grade polyester chip inspection equipment of this embodiment includes a control device 6. The control device 6 includes at least one processor 60. Figure 7 Only one is shown in the image), at least one memory 61 ( Figure 7 (Only one is shown in the image) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60, wherein when the processor 60 executes the computer program 62, it causes the recycled bottle-grade polyester chip detection device to perform the steps in any of the above embodiments of the recycled bottle-grade polyester chip detection methods, or causes the recycled bottle-grade polyester chip detection device to perform the functions of each unit in the above embodiments of the systems.

[0106] For example, the computer program 62 may be divided into one or more modules / units, which are stored in the memory 61 and executed by the processor 60 to complete this application. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program 62 in the control device 6.

[0107] The control device 6 can be a computing device such as a desktop computer, laptop, handheld computer, or cloud server. The control device 6 may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art will understand that... Figure 7 This is merely an example of a recycled bottle-grade polyester chip testing device and does not constitute a limitation on such a device. It may include more or fewer components than shown in the illustration, or a combination of certain components, or different components, such as input / output devices, network access devices, buses, etc.

[0108] The processor 60 can be a Central Processing Unit (CPU), or it can be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0109] In some embodiments, the memory 61 may be an internal storage unit of the control device 6, such as a hard disk or memory of the control device 6. In other embodiments, the memory 61 may be an external storage device of the control device 6, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the control device 6. Furthermore, the memory 61 may include both internal storage units and external storage devices of the control device 6. The memory 61 is used to store operating systems, applications, bootloaders, data, and other programs, such as the program code of computer programs. The memory 61 can also be used to temporarily store data that has been output or will be output.

[0110] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in any of the above method embodiments.

[0111] This application provides a computer program product that, when run on a recycled bottle-grade polyester chip inspection device, enables the recycled bottle-grade polyester chip inspection device to implement the steps in any of the above method embodiments.

[0112] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying computer program code to a recycled bottle-grade polyester chip inspection device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electrical carrier signals or telecommunication signals.

[0113] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0114] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0115] In the embodiments provided in this application, it should be understood that the disclosed recycled bottle-grade polyester chip inspection system, equipment, and method can be implemented in other ways. For example, the embodiments of the recycled bottle-grade polyester chip inspection system and equipment described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0116] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0117] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for detecting recycled bottle grade polyester chip, characterized by, include: Acquire slice information; wherein, the slice information includes surface information and internal information, the surface information includes at least one surface image, the surface image includes at least one first positioning point, the surface image reflects the surface state of the recycled bottle-grade polyester slice, and the internal information includes an internal model reflecting the internal structure of the recycled bottle-grade polyester slice and at least one second positioning point marked on the internal model, each corresponding to the first positioning point. A detection model is obtained based on the slice information; wherein, the detection model includes at least one first feature information and at least one second feature information, the first feature information corresponds to an impurity on a recycled bottle-grade polyester slice, the second feature information corresponds to a void in a recycled bottle-grade polyester slice, and the detection model reflects the physical structure of the recycled bottle-grade polyester slice; The detection results are obtained based on the detection model; wherein, the detection results include information reflecting the quality of the recycled bottle-grade polyester chips; The detection model obtained based on the slice information includes: The surface image is input into a surface analysis model to obtain surface analysis information; wherein, the analysis information includes the surface image and at least one of the first feature information annotated on the surface image; The internal model is input into the internal analysis model to obtain internal analysis information; wherein, the internal analysis information includes the internal model and at least one first feature information and at least one second feature information labeled on the internal model; The surface image in the surface analysis information is attached to the internal model in the internal analysis information according to the correspondence between the first positioning point and the second positioning point to obtain the detection model; The detection results obtained based on the detection model include: Based on the detection model, detection region information is obtained; wherein, the detection region information includes multiple detection regions, each detection region corresponds to a hole reflected by the second feature information, and the detection region reflects a portion of the region range within the detection model; Regional detection information is obtained based on the detection area information; wherein, the regional detection information includes at least one first detection result and at least one second detection result, the first detection result reflecting whether the quality of a certain area of ​​the recycled bottle-grade polyester chips is qualified, and the second detection result reflecting whether the quality of a certain area of ​​the recycled bottle-grade polyester chips is qualified. The detection result is obtained based on the regional detection information; The process of obtaining regional detection information based on the detection region information includes: The overlapping portions of the detection regions in the detection region information are identified as first region information; wherein, the first region information includes at least one first region and at least one constituent quantity corresponding to the first region, the first region is the portion reflecting the overlap of at least two detection regions, and the constituent quantity is the number of detection regions that overlap to form the first region. The portion of each detection area in the detection area information that does not overlap with other detection areas is identified as second area information; wherein, the second area information includes at least one second area, the second area reflecting the portion of the detection area that does not overlap with other detection areas; The region detection information is obtained based on the first region information and the second region information; The process of obtaining the region detection information based on the first region information and the second region information includes: Determine whether the first impurity ratio is greater than the first preset impurity ratio; wherein, the first impurity ratio is the sum of the first region impurity ratio and the dynamic adjustment value, the first region impurity ratio is the ratio of the sum of the volumes of all the first feature information reflected by the first region in the first region information to the volume occupied by the first region, each first region corresponds to a first impurity ratio, and the dynamic adjustment value is the value obtained by subtracting 2 from the number of components corresponding to the first region and then multiplying by the first region impurity ratio; If the first impurity ratio is greater than the first preset impurity ratio, the first test result reflecting unqualified quality is obtained; if the first impurity ratio is less than or equal to the first preset impurity ratio, the first test result reflecting qualified quality is obtained. Determine whether the second impurity ratio is greater than the second preset impurity ratio; wherein, the second impurity ratio is the ratio of the sum of the volumes of all the impurities reflected by the first feature information included in the second region information to the volume occupied by the second region; If the second impurity ratio is greater than the second preset impurity ratio, a second test result reflecting unqualified quality is obtained; if the second impurity ratio is less than or equal to the second preset impurity ratio, a second test result reflecting qualified quality is obtained. All the first detection results and second detection results obtained after analyzing all the first and second regions are confirmed as the region detection information.

2. The method for detecting recycled bottle-grade polyester chips as described in claim 1, characterized in that, The acquisition of slice information includes: Send first control information to the drying device; wherein the first control information is used to instruct the drying device to remove moisture from the recycled bottle-grade polyester chips, and the drying device is a device of the recycled bottle-grade polyester chip detection equipment capable of removing moisture from the recycled bottle-grade polyester chips. Sending second control information to an image acquisition device to obtain the surface information; wherein, the second control information is used to instruct the image acquisition device to capture the surface image of the recycled bottle-grade polyester chip, and the image acquisition device is a device of the recycled bottle-grade polyester chip detection equipment capable of acquiring an image of the surface of the recycled bottle-grade polyester chip; The internal information is obtained by sending a third control message to the internal structure acquisition device; wherein, the third control message is used to instruct the internal structure acquisition device to acquire the internal structure of the recycled bottle-grade polyester chip, and the internal structure acquisition device is a device of the recycled bottle-grade polyester chip detection equipment that is capable of acquiring the internal structure of the recycled bottle-grade polyester chip. The surface information and the internal information are identified as the slice information.

3. The method for detecting recycled bottle-grade polyester chips as described in claim 1, characterized in that, The process of obtaining the detection area information based on the detection model includes: The radius of influence is obtained based on the second feature information; wherein the radius of influence corresponds to the void reflected by the second feature information. The detection area is obtained by drawing a sphere with the center of gravity of the cavity reflected by the second feature information as the center of the sphere and the value reflected by the influence radius as the radius; All the detection areas corresponding to the holes reflected by the second feature information are identified as the detection area information.

4. The method for detecting recycled bottle-grade polyester chips as described in claim 3, characterized in that, The process of obtaining the influence radius based on the second feature information includes: Obtain the total volume value; wherein the total volume value reflects the volume of the recycled bottle-grade polyester chips; Obtain the cavity volume value; wherein the cavity volume value reflects the volume occupied by the cavity corresponding to the second feature information; Divide the cavity volume value by the total volume value to obtain the ratio of the cavity volume value to the total volume value; The radius of influence is obtained by multiplying the ratio of the void volume to the total volume by a preset radius value.

5. The method for detecting recycled bottle-grade polyester chips as described in claim 1, characterized in that, Obtaining the detection result based on the region detection information includes: Determine whether the first detection result and / or the second detection result in the area detection information reflect a quality failure; If the first detection result and / or the second detection result in the area detection information reflect that the quality is unqualified, then the detection result reflecting that the quality of the recycled bottle-grade polyester chips is unqualified is obtained, and the first detection result and / or the second detection result reflecting the quality is unqualified is sent to the user; If the first test result and / or the second test result do not reflect a quality failure in the regional test information, then the test result reflecting that the recycled bottle-grade polyester chips are of acceptable quality is obtained.

6. A device for detecting recycled bottle-grade polyester chips, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method as described in any one of claims 1 to 5.

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