Regenerated bottle grade polyester chip detection method and equipment

Abstract

The invention is applicable to the technical field of regenerated bottle-grade polyester chips, and particularly relates to a regenerated bottle-grade polyester chip detection method and equipment, and the method comprises the following steps: obtaining chip information; wherein the slice information comprises surface information and internal information; obtaining a detection model based on the slice information; wherein the detection model comprises at least one piece of first feature information and at least one piece of second feature information, the first feature information corresponds to impurities 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. According to the regenerated bottle-grade polyester chip detection method and equipment provided by the embodiment of the invention, the problem that the quality of regenerated bottle-grade polyester chips is reduced due to cavities and impurities in the regenerated bottle-grade polyester chips can be improved.

Description

Technical Field

[0001] The present application belongs to the technical field of recycled bottle-grade polyester chips, and in particular, relates to a detection method and equipment for recycled bottle-grade polyester chips. Background Art

[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, etc.). It is also called 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 the related art, during the production process of recycled bottle-grade polyester chips, voids may form inside the chips due to improper control of raw materials or process parameters, thereby weakening the overall structural strength of the recycled bottle-grade polyester chips. In addition, since the raw materials of recycled bottle-grade polyester chips usually come from recycled polyester bottles, these bottles may be mixed with various impurities during the recycling process, such as soil, sand, metal fragments, etc., which may cause the quality of the chips to deteriorate. Summary of the invention

[0004] The embodiments of the present application provide a method and device for detecting recycled bottle-grade polyester chips, which can improve the problem of quality degradation of recycled bottle-grade polyester chips caused by voids and impurities in the recycled bottle-grade polyester chips.

[0005] In a first aspect, an embodiment of the present application provides a method for detecting recycled bottle-grade polyester chips, comprising:

[0006] 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 and corresponding to the first positioning point respectively;

[0007] 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 one of the recycled bottle-grade polyester slices, the second feature information corresponds to a void in one of the recycled bottle-grade polyester slices, and the detection model reflects the physical structure of the recycled bottle-grade polyester slice;

[0008] A detection result is obtained based on the detection model; wherein the detection result includes information reflecting the quality of the recycled bottle-grade polyester chips.

[0009] The above technical solutions in the embodiments of the present application have at least the following technical effects:

[0010] The method for detecting recycled bottle-grade polyester chips provided in the embodiment of the present application first obtains 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, providing a basis for subsequent steps. Then, based on the slice information, a detection model including at least one first characteristic information reflecting impurities and at least one second characteristic information reflecting voids is obtained to provide support for analyzing 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 to provide a reference for users to judge the quality of the recycled bottle-grade polyester chips, thereby improving the problem that the quality of the recycled bottle-grade polyester chips is reduced due to voids and impurities in the recycled bottle-grade polyester chips.

[0011] In a possible implementation manner of the first aspect, acquiring slice information includes:

[0012] Sending first control information to a 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 a recycled bottle-grade polyester chip detection device that can remove moisture from the recycled bottle-grade polyester chips;

[0013] 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 that can acquire the image of the surface of the recycled bottle-grade polyester chip;

[0014] Sending third control information to the internal structure acquisition device to obtain the 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 chips detection device that can acquire the internal structure of the recycled bottle-grade polyester chips;

[0015] The surface information and the internal information are confirmed as the slice information.

[0016] In a possible implementation manner of the first aspect, obtaining a detection model based on the slice information includes:

[0017] Inputting the surface image 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 marked on the surface image;

[0018] Inputting the internal model into an internal analysis model to obtain internal analysis information; wherein the internal analysis information includes the internal model and at least one of the first feature information and at least one of the second feature information annotated on the internal model;

[0019] The surface image in the surface analysis information is fitted onto the internal model in the internal analysis information according to the corresponding relationship between the first positioning point and the second positioning point to obtain the detection model.

[0020] In a possible implementation manner of the first aspect, obtaining a detection result based on the detection model includes:

[0021] Obtaining detection area information based on the detection model; wherein the detection area information includes a plurality of detection areas, each of the detection areas corresponds to a hole reflected by the second feature information, and the detection area reflects a partial area range within the detection model;

[0022] Based on the detection area information, regional detection information is obtained; wherein the regional detection information includes at least one first detection result and at least one second detection result, the first detection result reflects whether the quality of the partial area of ​​the recycled bottle-grade polyester chips is qualified, and the second detection result reflects whether the quality of the partial area of ​​the recycled bottle-grade polyester chips is qualified;

[0023] The detection result is obtained based on the area detection information.

[0024] In a possible implementation manner of the first aspect, obtaining the detection area information based on the detection model includes:

[0025] Obtaining an influence radius based on the second characteristic information; wherein the influence radius corresponds to the hole reflected by the second characteristic information;

[0026] The detection area is obtained by taking the center of gravity of the cavity reflected by the second characteristic information as the center of a sphere and drawing a sphere with the value reflected by the influence radius as the radius;

[0027] All the detection areas corresponding to the holes reflected by the second characteristic information are confirmed as the detection area information.

[0028] In a possible implementation manner of the first aspect, obtaining the influence radius based on the second feature information includes:

[0029] Obtaining a total volume value; wherein the total volume value reflects the volume of the recycled bottle-grade polyester chips;

[0030] Acquire a cavity volume value; wherein the cavity volume value reflects the volume occupied by the cavity corresponding to the second characteristic information;

[0031] Dividing the cavity volume value by the total volume value to obtain a radius ratio;

[0032] The influence radius is obtained by multiplying the radius ratio by a preset radius value.

[0033] In a possible implementation manner of the first aspect, obtaining the area detection information based on the detection area information includes:

[0034] Confirming the overlapping portion of the detection areas in the detection area information as first area information; wherein the first area information includes at least one first area and at least one constituent number corresponding to the first area, the first area is a portion reflecting the overlap of at least two detection areas, and the constituent number is the number of the detection areas overlapping to form the first area;

[0035] Confirming the portion of each detection area in the detection area information that does not overlap with other detection areas as second area information; wherein the second area information includes at least one second area, and the second area reflects the portion of the detection area that does not overlap with other detection areas;

[0036] The region detection information is obtained based on the first region information and the second region information.

[0037] In a possible implementation manner of the first aspect, obtaining the region detection information based on the first region information and the second region information includes:

[0038] Determine whether the first impurity ratio is greater than a 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 the impurities reflected by all the second characteristic information included in the first region 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 it by the first region impurity ratio;

[0039] 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;

[0040] Determine whether the second impurity ratio is greater than a second preset impurity ratio; wherein the second impurity ratio is the ratio of the sum of the volumes of the impurities reflected by all the second characteristic information included in the second region in the second region information to the volume occupied by the second region;

[0041] If the second impurity ratio is greater than the second preset impurity ratio, the second test result reflecting unqualified quality is obtained; if the second impurity ratio is less than or equal to the second preset impurity ratio, the second test result reflecting qualified quality is obtained;

[0042] All the first detection results and the second detection results obtained after the analysis of all the first regions and the second regions are completed are confirmed as the region detection information.

[0043] In a possible implementation manner of the first aspect, obtaining the detection result based on the area detection information includes:

[0044] Determining whether the first detection result and / or the second detection result in the area detection information reflects unqualified quality;

[0045] If the first detection result and / or the second detection result in the regional detection information reflect that the quality is unqualified, 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 that the quality is unqualified is sent to the user;

[0046] If the first detection result does not exist in the regional detection information and / or the second detection result reflects that the quality is unqualified, the detection result reflecting that the quality of the recycled bottle-grade polyester chips is qualified is obtained.

[0047] In a second aspect, the present application provides a recycled bottle-grade polyester chip detection system, comprising:

[0048] an acquisition unit, configured 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 and corresponding to the first positioning point respectively;

[0049] A 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 one of the recycled bottle-grade polyester slices, the second feature information corresponds to a void in one of the recycled bottle-grade polyester slices, and the detection model reflects the physical structure of the recycled bottle-grade polyester slice;

[0050] The second analysis unit is used to obtain a detection result based on the detection model; wherein the detection result includes information reflecting the quality of the recycled bottle-grade polyester chips.

[0051] In a third aspect, an embodiment of the present application provides a recycled bottle-grade polyester chip detection device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any of the methods described in the first aspect when executing the computer program.

[0052] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described in any one of the above-mentioned first aspects is implemented.

[0053] In a fifth aspect, an embodiment of the present application provides a computer program product. When the computer program product is run on a recycled bottle-grade polyester chip detection device, the recycled bottle-grade polyester chip detection device executes the recycled bottle-grade polyester chip detection method described in any one of the above-mentioned first aspects.

[0054] It can be understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0056] Figure 1 It is a schematic diagram of a process of detecting a recycled bottle-grade polyester chip provided in an embodiment of the present application;

[0057] Figure 2 1 is a flow chart of step S200 in the method for detecting recycled bottle-grade polyester chips provided in one embodiment of the present application;

[0058] Figure 31 is a flow chart of step S300 in the method for detecting recycled bottle-grade polyester chips provided in one embodiment of the present application;

[0059] Figure 4 It is a flow chart of step S323 in the method for detecting recycled bottle-grade polyester chips provided in one embodiment of the present application;

[0060] Figure 5 1 is a flow chart of step S330 in the method for detecting recycled bottle-grade polyester chips provided in one embodiment of the present application;

[0061] Figure 6 It is a structural schematic diagram of a recycled bottle-grade polyester chip detection system provided in one embodiment of the present application;

[0062] Figure 7 It is a schematic diagram of the structure of a recycled bottle-grade polyester chip detection device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0063] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0064] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0065] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0066] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0067] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0068] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0069] In the related art, during the production process of recycled bottle-grade polyester chips, voids may form inside the chips due to improper control of raw materials or process parameters, thereby weakening the overall structural strength of the recycled bottle-grade polyester chips. In addition, since the raw materials of recycled bottle-grade polyester chips usually come from recycled polyester bottles, these bottles may be mixed with various impurities during the recycling process, such as soil, sand, metal fragments, etc., which may cause the quality of the chips to deteriorate.

[0070] In order to solve the above problems, the embodiment of the present application provides a method and device for detecting recycled bottle-grade polyester chips. In this method, by first obtaining 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, a basis is provided for subsequent steps. Then, based on the slice information, a detection model including at least one first characteristic information reflecting impurities and at least one second characteristic information reflecting voids is obtained to provide support for analyzing 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 to provide a reference for users to judge the quality of the recycled bottle-grade polyester chips, thereby improving the problem that the quality of the recycled bottle-grade polyester chips is reduced due to voids and impurities in the recycled bottle-grade polyester chips.

[0071] The recycled bottle-grade polyester chip detection method provided in the embodiment of the present application can be applied to the recycled bottle-grade polyester chip detection equipment. In this case, the recycled bottle-grade polyester chip detection equipment is the executor of the recycled bottle-grade polyester chip detection method provided in the embodiment of the present application. The embodiment of the present application does not impose any restrictions on the specific type of the recycled bottle-grade polyester chip detection equipment.

[0072] For example, the detection equipment for recycled bottle-grade polyester chips may include a control device, a drying device, an image acquisition device, and an internal structure acquisition device. The control device is respectively connected to the drying device, the image acquisition device, and the internal structure acquisition device in communication, and the control device may be a computing device such as a desktop computer, a cloud server, etc., but is not limited thereto. The drying device is a device capable of removing moisture from the surface and inside of recycled bottle-grade polyester chips. For example, the drying device may be a hot air blower, a resistance heater, etc., but is not limited thereto. The image acquisition device is a device capable of taking images of the surface of recycled bottle-grade polyester chips. For example, the image acquisition device may be a digital camera or an analog camera, etc., but is not limited thereto. The internal structure acquisition device is a device capable of scanning recycled bottle-grade polyester chips to obtain the internal physical structure of recycled bottle-grade polyester chips. For example, the scanning device may be an ultrasonic scanning device, an X-ray scanning device, etc., but is not limited thereto.

[0073] In order to better understand the recycled bottle-grade polyester chip detection method provided in the embodiment of the present application, the specific implementation process of the recycled bottle-grade polyester chip detection method provided in the embodiment of the present application is exemplarily introduced below.

[0074] Figure 1 The schematic flow chart of the detection method of recycled bottle-grade polyester chips provided in the embodiment of the present application is shown. The detection method of recycled bottle-grade polyester chips includes:

[0075] S100, obtaining 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 and corresponding to the first positioning point respectively.

[0076] It can be understood that the way to obtain the slice information can be to receive data transmitted by the user, or to obtain data transmitted after the image acquisition device and the internal structure acquisition device scan the recycled bottle-grade polyester slice, etc., but not limited to this. The way to determine the positioning point can be SIFT (Scale-Invariant Feature Transform) algorithm, Harris corner point detection algorithm, etc., but not limited to this. Acquiring slice information including surface information reflecting the surface state of the recycled bottle-grade polyester slice and internal information reflecting the internal structure of the recycled bottle-grade polyester slice can provide a basis for subsequent steps.

[0077] In a possible implementation, S100, obtaining slice information, includes:

[0078] S110, sending 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 chips detection equipment that can remove moisture from the recycled bottle-grade polyester chips.

[0079] It can be understood that the drying device is a device capable of removing moisture from the surface and inside of the recycled bottle-grade polyester chips. For example, the drying device can be a hot air blower, a resistance heater, etc., but is not limited thereto. Sending the first control information for instructing the drying device to remove moisture from the recycled bottle-grade polyester chips to the drying device can reduce the influence of moisture on the test results and improve the reliability of the test results.

[0080] S120, sending 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 the surface image of the recycled bottle-grade polyester chips, and the image acquisition device is a device of the recycled bottle-grade polyester chips detection equipment that can acquire the image of the surface of the recycled bottle-grade polyester chips.

[0081] It can be understood that the image acquisition device is a device capable of capturing the surface image of the recycled bottle-grade polyester chips. For example, the image acquisition device may be a digital camera or an analog camera, but is not limited thereto. Sending the second control information for instructing the image acquisition device to capture the surface image of the recycled bottle-grade polyester chips to the image acquisition device and receiving the data transmitted by the image acquisition device can ensure that the obtained image data corresponds to the detected recycled bottle-grade polyester chips.

[0082] S130, sending 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 chips detection equipment that can acquire the internal structure of the recycled bottle-grade polyester chips.

[0083] It can be understood that the internal structure acquisition device is a device that can scan the recycled bottle-grade polyester chips to obtain the internal physical structure of the recycled bottle-grade polyester chips. For example, the scanning device can be an ultrasonic scanning device, an X-ray scanning device, etc., but is not limited thereto. Sending the third control information for instructing the internal structure acquisition device to acquire the internal structure of the recycled bottle-grade polyester chips to the internal structure acquisition device, and receiving the three-dimensional digital model reflecting the interior of the recycled bottle-grade polyester chips transmitted by the internal structure acquisition device can provide a basis for subsequent steps.

[0084] S140, confirming the surface information and the internal information as slice information.

[0085] It can be understood that confirming the surface information and the internal information as slice information can provide a basis for subsequent steps.

[0086] S200, obtaining 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 impurities 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.

[0087] It can be understood that the detection model can be obtained based on the slice information by attaching the surface image in the surface information included in the slice information to the surface of the three-dimensional digital model in the internal information included in the slice information, or by sending the slice information to the user and confirming the data sent back by the user as the detection model, etc., but it is not limited thereto. The detection model including at least one first characteristic information reflecting impurities and at least one second characteristic information reflecting voids is obtained based on the slice information, providing support for analyzing the quality of recycled bottle-grade polyester chips.

[0088] In one possible implementation, see Figure 2 , S200, obtaining a detection model based on the slice information, including:

[0089] S210, inputting the surface image into a 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.

[0090] It can be understood that the surface analysis model is obtained by machine learning training using multiple sets of data, and the multiple sets of data include first-class data and second-class data. Each set of data in the first class includes: at least one surface image, and first feature information on the surface image analyzed and identified manually; each set of data in the second class includes: a surface image that does not include impurities, and a label that reflects that there are no impurities in the surface image analyzed and identified manually. Analyzing the surface image through the surface analysis model to obtain surface analysis information can be more accurate and efficient than analyzing it manually, and improves processing efficiency.

[0091] S220, inputting 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 annotated on the internal model.

[0092] It can be understood that the internal analysis model is obtained through machine learning training using multiple sets of data, and the multiple sets of data include first-category data and second-category data. Each set of data in the first category includes: a three-dimensional digital model, first feature information and second feature information on the three-dimensional digital model analyzed and identified manually; each set of data in the second category includes: a three-dimensional digital model that does not include voids and impurities, and a label that reflects that the three-dimensional digital model does not have voids and impurities analyzed and identified manually. Analyzing the internal model through the internal analysis model to obtain internal analysis information can be more accurate and efficient than analyzing it manually, and improves processing efficiency.

[0093] S230, fitting the surface image in the surface analysis information to the internal model in the internal analysis information according to the corresponding relationship between the first positioning point and the second positioning point to obtain a detection model.

[0094] It can be understood that the method of fitting the surface image in the surface analysis information to the internal model in the internal analysis information according to the corresponding relationship between the first positioning point and the second positioning point can be plane mapping, UV mapping, etc., but is not limited thereto. The surface image in the surface analysis information is fitted to the internal model in the internal analysis information according to the corresponding relationship between the first positioning point and the second positioning point to obtain a detection model that can restore the physical properties of the detected recycled bottle-grade polyester chips to the greatest extent, thereby improving the accuracy of the detection results.

[0095] S300, obtaining a detection result based on the detection model; wherein the detection result includes information reflecting the quality of the recycled bottle-grade polyester chips.

[0096] It can be understood that the method of obtaining the detection result based on the detection model can be to determine the location of the voids and impurities in the detection model, or to send the detection model to the user and receive the data sent back by the user, etc., but is not limited thereto. The detection result reflecting the quality of the recycled bottle-grade polyester chips is obtained based on the detection model, which provides a reference for the user to judge the quality of the recycled bottle-grade polyester chips and improves the problem that the voids and impurities in the recycled bottle-grade polyester chips cause the quality of the recycled bottle-grade polyester chips to decrease.

[0097] In one possible implementation, see Figure 3 , S300, obtaining a detection result based on the detection model, including:

[0098] S310, obtaining detection area information based on the detection model; wherein the detection area information includes multiple detection areas, each detection area corresponds to a hole reflected by the second feature information, and the detection area reflects a partial area range within the detection model.

[0099] It can be understood that the method of obtaining the detection area information based on the detection model can be to obtain multiple spherical detection areas with each impurity as the center, or to obtain multiple spherical detection areas with each cavity as the center, etc., but is not limited thereto. The detection area information including multiple detection areas corresponding to the cavities reflected by the second characteristic information obtained based on the detection model can provide a basis for subsequent steps.

[0100] In one possible implementation, see Figure 3 , S310, obtaining detection area information based on the detection model, including:

[0101] S311, obtaining an influence radius based on the second characteristic information; wherein the influence radius corresponds to the hole reflected by the second characteristic information.

[0102] It is understood that the method for obtaining the influence radius based on the second characteristic information can be based on the surface area of ​​the cavity reflected by the second characteristic information, or based on the volume of the cavity reflected by the second characteristic information, etc., but is not limited thereto. Obtaining the influence radius based on the second characteristic information can provide a basis for subsequent steps.

[0103] In one possible implementation, see Figure 3 , S311, obtaining an influence radius based on the second feature information, including:

[0104] S3111, obtaining a total volume value; wherein the total volume value reflects the volume of the recycled bottle-grade polyester chips.

[0105] It is understood that the total volume value can be obtained by using a tool for calculating the model volume in 3D modeling software (such as Blender, Maya, 3dsMax, SolidWorks, etc.), or by receiving data transmitted by a user, etc., but is not limited thereto. Obtaining the total volume value reflecting the volume of the recycled bottle-grade polyester chips can provide a basis for subsequent steps.

[0106] S3112, obtaining a cavity volume value; wherein the cavity volume value reflects the volume occupied by the cavity corresponding to the second characteristic information.

[0107] It is understood that the method for obtaining the void volume value may be to use Boolean operations (such as union, intersection, and difference) to calculate the void volume, or to import the model into a professional analysis tool (such as Geomagic Studio, PolyWorks, etc.) to automatically identify the volume of the void area using a built-in algorithm, etc., but is not limited thereto. Obtaining the void volume value reflecting the volume occupied by the void corresponding to the second feature information can provide a basis for subsequent steps.

[0108] S3113, dividing the void volume value by the total volume value to obtain a radius ratio.

[0109] It can be understood that dividing the void volume value by the total volume value to obtain the radius ratio can provide a basis for subsequent steps.

[0110] For example, assuming that the cavity volume value is 1 cubic millimeter and the total volume value is 200 cubic millimeters, the radius ratio = 1 / 200 = 0.005.

[0111] S3114, multiplying the radius ratio by the preset radius value to obtain the influence radius.

[0112] It is understandable that the preset radius value may be 200 mm, 300 mm, etc., but is not limited thereto. The influence radius obtained by multiplying the radius ratio by the preset radius value can provide a basis for subsequent steps.

[0113] For example, assuming that the radius ratio is 0.005 and the preset radius value is 300 mm, the impact radius = 0.005*300 = 1.5 mm.

[0114] S312, taking the center of gravity of the cavity reflected by the second characteristic information as the center of a sphere and taking the value reflected by the influence radius as the radius to construct a sphere to obtain a detection area.

[0115] It can be understood that the method for determining the center of gravity of the cavity reflected by the second characteristic information can be obtained by volume integration method, fitting method (such as least square method), etc., but is not limited thereto. Taking the center of gravity of the cavity reflected by the second characteristic information as the center of the sphere and drawing a sphere with the value reflected by the influence radius as the radius to obtain the detection area can provide a basis for subsequent steps.

[0116] S313: confirm all detection areas corresponding to the holes reflected by the second characteristic information as detection area information.

[0117] It can be understood that confirming all detection areas corresponding to the holes reflected by the second characteristic information as detection area information can provide a basis for subsequent steps.

[0118] S320, obtaining regional detection information 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 reflects whether the quality of a partial area of ​​the recycled bottle-grade polyester chips is qualified, and the second detection result reflects whether the quality of a partial area of ​​the recycled bottle-grade polyester chips is qualified.

[0119] It can be understood that the method of obtaining the regional detection information based on the detection area information can be to determine the distribution of impurities and voids in each detection area in the detection area information, or to determine the distribution of impurities and voids in the overlapping part of each detection area in the detection area information, but is not limited thereto. Obtaining the regional detection information based on the detection area information can provide a reference for determining whether the quality of the recycled bottle-grade polyester chips is qualified.

[0120] In one possible implementation, see Figure 3 S320, obtaining area detection information based on the detection area information, including:

[0121] S321, confirming the overlapping parts of the detection areas in the detection area information as the first area information; wherein the first area information includes at least one first area and at least one constituent number corresponding to the first area, the first area is a part reflecting the overlap of at least two detection areas, and the constituent number is the number of detection areas overlapping to form the first area.

[0122] It is understood that the method for determining the overlapping parts of the detection areas may be to calculate the detection area where two bounding boxes intersect through three-dimensional Boolean operations, or to obtain it through space segmentation technology, but is not limited thereto. Confirming the overlapping parts of the detection areas in the detection area information as the first area information can provide a basis for subsequent steps.

[0123] S322, confirming the portion of each detection area in the detection area information that does not overlap with other detection areas as second area information; wherein the second area information includes at least one second area, and the second area reflects the portion of the detection area that does not overlap with other detection areas.

[0124] It is understood that the method for determining the part of the detection area that does not overlap with other detection areas may be to determine whether the detection area intersects with other detection areas through a bounding box, or to calculate the detection area minus the part that overlaps with other detection areas through a Boolean operation, but is not limited thereto. Confirming the part of each detection area that does not overlap with other detection areas in the detection area information as the second area information can provide a basis for subsequent steps.

[0125] S323: Obtain region detection information based on the first region information and the second region information.

[0126] It can be understood that the method of obtaining the regional detection information based on the first regional information and the second regional information can be to determine the distribution of impurities and voids in the first region corresponding to each first regional information, or to determine the distribution of impurities and voids in the second region corresponding to each second regional information, but is not limited thereto. Obtaining the regional detection information based on the first regional information and the second regional information can provide a reference for determining whether the quality of the recycled bottle-grade polyester chips is qualified.

[0127] In one possible implementation, see Figure 4 S323, obtaining region detection information based on the first region information and the second region information, including:

[0128] 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 the impurities reflected by all the second characteristic information included in 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 it by the first region impurity ratio.

[0129] It can be understood that the method for calculating the volume of the impurity reflected by the second characteristic information may be to calculate the unit voxel occupied by the impurity by the voxel method, or to calculate the volume occupied by the impurity by the integral method, etc., but is not limited thereto. The method for calculating the volume occupied by the first region may be to calculate the unit voxel occupied by the first region by the voxel method, or to calculate the volume occupied by the first region by the integral method, etc., but is not limited thereto. Determining whether the first impurity ratio is greater than the first preset impurity ratio can provide a basis for subsequent steps.

[0130] For example, assuming that the sum of the volumes of impurities reflected by all the second characteristic information included in 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 first region impurity ratio = 5 / 50 = 0.1, the dynamic adjustment value = (3-2)*0.1 = 0.1, and the first impurity ratio = 0.1+0.1 = 0.2.

[0131] 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.

[0132] It can be understood that the first preset impurity ratio can be 0.2, 0.25, etc., but is not limited thereto. 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 the volume occupied by the impurities in the first region is too large. When the recycled bottle-grade polyester chips are used to make polyester bottles, due to the presence of 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 of the area on the recycled bottle-grade polyester chips where there are no voids. Because the first region is affected by multiple voids, the impurities in the first region are more likely to be exposed and contacted with the outside world to cause adverse effects. If the first impurity ratio is less than or equal to the first preset impurity ratio, the amount of impurities in the first region is normal and the volume occupied by the impurities is normal.

[0133] S3233, determining whether the second impurity ratio is greater than a second preset impurity ratio; wherein the second impurity ratio is the ratio of the sum of the volumes of the impurities reflected by all the second characteristic information included in the second region in the second region information to the volume occupied by the second region.

[0134] It can be understood that the second preset impurity ratio can be 0.2, 0.25, etc., but is not limited to this. The method for calculating the volume of impurities reflected by the second characteristic information can be to calculate the unit voxel occupied by the impurity by the voxel method, or to calculate the volume occupied by the impurity by the integral method, etc., but is not limited to this. The method for calculating the volume occupied by the second region can be to calculate the unit voxel occupied by the second region by the voxel method, or to calculate the volume occupied by the second region by the integral method, etc., but is not limited to this. Determining whether the second impurity ratio is greater than the second preset impurity ratio can provide a basis for subsequent steps.

[0135] 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.

[0136] It can be understood that if the second impurity ratio is greater than the second preset impurity ratio, it means that there are too many impurities in the second region or the volume occupied by the impurities in the second region is too large, and when the recycled bottle-grade polyester chips are used to make polyester bottles, the impurities in the second region may cause adverse effects. If the second impurity ratio is less than or equal to the second preset impurity ratio, the amount of impurities in the second region is normal and the volume occupied by the impurities is normal.

[0137] S3235, confirming all first detection results and second detection results obtained after the analysis of all first regions and second regions is completed as region detection information.

[0138] It can be understood that confirming all the first detection results and the second detection results obtained after analyzing all the first areas and the second areas as regional detection information can provide a reference for determining whether the quality of the recycled bottle-grade polyester chips is qualified.

[0139] S330, obtaining a detection result based on the area detection information.

[0140] It can be understood that the method of obtaining the test result based on the regional detection information can be to determine whether there is a first test result or a second test result reflecting unqualified quality in the regional detection information, or to determine the number of first test results or second test results reflecting unqualified quality in the regional detection information, but is not limited thereto. The test result obtained based on the regional detection information can provide a reference for determining whether the quality of the recycled bottle-grade polyester chips is qualified.

[0141] In one possible implementation, see Figure 5 , S330, obtaining a detection result based on the area detection information, including:

[0142] S331, determining whether the first detection result and / or the second detection result in the area detection information reflects that the quality is unqualified.

[0143] It can be understood that determining whether the first detection result and / or the second detection result in the regional detection information reflects that the quality is unqualified can provide a basis for subsequent steps.

[0144] S332, if the first test result and / or the second test result in the regional detection information reflect that the quality is unqualified, a test result reflecting that the quality of the recycled bottle-grade polyester chips is unqualified is obtained, and the first test result and / or the second test result reflecting the unqualified quality is sent to the user.

[0145] It can be understood that if the first test result and / or the second test result in the regional detection information reflect that the quality is unqualified, it means that there are too many impurities in the detected recycled bottle-grade polyester chips or the area occupied by the impurities is too large, and the quality of the recycled bottle-grade polyester chips is unqualified. Sending the first test result and / or the second test result reflecting the 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 that the quality of the recycled bottle-grade polyester chips is reduced due to the voids and impurities in the recycled bottle-grade polyester chips.

[0146] S333, if the first detection result does not exist in the regional detection information and / or the second detection result reflects that the quality is unqualified, a detection result reflecting that the quality of the recycled bottle-grade polyester chips is qualified is obtained.

[0147] It can be understood that if the first test result does not exist in the regional test information and / or the second test result reflects that the quality is unqualified, it means that there are no impurities in the tested recycled bottle-grade polyester chips or the amount of impurities is normal and the area occupied by the impurities is normal. Obtaining a test result reflecting that the quality of the recycled bottle-grade polyester chips is qualified can provide a reference for users to judge whether the quality of the recycled bottle-grade polyester chips is qualified, and improve the problem that the quality of the recycled bottle-grade polyester chips is reduced due to cavities and impurities in the recycled bottle-grade polyester chips.

[0148] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean 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 the present application.

[0149] Corresponding to the recycled bottle-grade polyester chip detection method described in the above embodiment, the embodiment of the present application also provides a recycled bottle-grade polyester chip detection system, and each unit of the system can implement each step of the recycled bottle-grade polyester chip detection method. Figure 6 A structural block diagram of a recycled bottle-grade polyester chip detection system provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0150] Reference Figure 6 The system comprises:

[0151] 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 and corresponding to the first positioning point respectively.

[0152] 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 characteristic information and at least one second characteristic information, the first characteristic information corresponds to impurities on a recycled bottle-grade polyester slice, and the second characteristic 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.

[0153] The second analysis unit is used to obtain a detection result based on the detection model; wherein the detection result includes information reflecting the quality of the recycled bottle-grade polyester chips.

[0154] It should be noted that the information interaction, execution process and other contents between the above-mentioned units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0155] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by 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 embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0156] The present application also provides a recycled bottle-grade polyester chip detection device, Figure 7 This is a schematic diagram of the structure of a recycled bottle-grade polyester chip detection device provided in one embodiment of the present application. Figure 7 As shown, the recycled bottle-grade polyester chip detection device of this embodiment includes a control device 6. The control device 6 includes: at least one processor 60 ( Figure 7 Only one is shown), at least one memory 61 ( Figure 7 Only one is shown in the figure) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60. When the processor 60 executes the computer program 62, the recycled bottle-grade polyester chip detection device implements the steps in any of the above-mentioned recycled bottle-grade polyester chip detection method embodiments, or the recycled bottle-grade polyester chip detection device implements the functions of each unit in the above-mentioned system embodiments.

[0157] Exemplarily, 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 the present application. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program 62 in the control device 6.

[0158] The control device 6 may be a computing device such as a desktop computer, a notebook, a PDA, or a 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 appreciate that Figure 7It is only an example of the recycled bottle-grade polyester chip detection equipment and does not constitute a limitation of the recycled bottle-grade polyester chip detection equipment. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, buses, etc.

[0159] The processor 60 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0160] 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 also be an external storage device of the control device 6, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the control device 6. Further, the memory 61 may also include both an internal storage unit and an external storage device of the control device 6. The memory 61 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program. The memory 61 may also be used to temporarily store data that has been output or is to be output.

[0161] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0162] An embodiment of the present application provides a computer program product. When the computer program product is run on a recycled bottle-grade polyester chip detection device, the recycled bottle-grade polyester chip detection device implements the steps in any of the above-mentioned method embodiments.

[0163] If the integrated unit is implemented in the form of 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, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device that can carry the computer program code to the recycled bottle-grade polyester chip detection equipment, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0164] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0165] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example 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 performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0166] In the embodiments provided in the present application, it should be understood that the disclosed recycled bottle-grade polyester chip detection system, equipment and method can be implemented in other ways. For example, the above-described recycled bottle-grade polyester chip detection system and equipment embodiments are merely schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0167] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0168] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for detecting recycled bottle-grade polyester chips, characterized in that: 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 and corresponding to the first positioning point respectively; 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 one of the recycled bottle-grade polyester slices, the second feature information corresponds to a void in one of the recycled bottle-grade polyester slices, and the detection model reflects the physical structure of the recycled bottle-grade polyester slice; A detection result is obtained based on the detection model; wherein the detection result includes information reflecting the quality of the recycled bottle-grade polyester chips.

2. The method for detecting recycled bottle-grade polyester chips according to claim 1, characterized in that: The obtaining of slice information includes: Sending first control information to a 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 a recycled bottle-grade polyester chip detection device that can remove 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 that can acquire the image of the surface of the recycled bottle-grade polyester chip; Sending third control information to the internal structure acquisition device to obtain the 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 chips detection device that can acquire the internal structure of the recycled bottle-grade polyester chips; The surface information and the internal information are confirmed as the slice information.

3. The method for detecting recycled bottle-grade polyester chips according to claim 1, characterized in that: The obtaining of the detection model based on the slice information includes: Inputting the surface image 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 marked on the surface image; Inputting the internal model into an internal analysis model to obtain internal analysis information; wherein the internal analysis information includes the internal model and at least one of the first feature information and at least one of the second feature information annotated on the internal model; The surface image in the surface analysis information is fitted onto the internal model in the internal analysis information according to the corresponding relationship between the first positioning point and the second positioning point to obtain the detection model.

4. The method for detecting recycled bottle-grade polyester chips according to claim 3, characterized in that: The obtaining of the detection result based on the detection model comprises: Obtaining detection area information based on the detection model; wherein the detection area information includes a plurality of detection areas, each of the detection areas corresponds to a hole reflected by the second feature information, and the detection area reflects a partial area range within the detection model; Based on the detection area information, regional detection information is obtained; wherein the regional detection information includes at least one first detection result and at least one second detection result, the first detection result reflects whether the quality of the partial area of ​​the recycled bottle-grade polyester chips is qualified, and the second detection result reflects whether the quality of the partial area of ​​the recycled bottle-grade polyester chips is qualified; The detection result is obtained based on the area detection information.

5. The method for detecting recycled bottle-grade polyester chips according to claim 4, characterized in that: The obtaining the detection area information based on the detection model includes: Obtaining an influence radius based on the second characteristic information; wherein the influence radius corresponds to the hole reflected by the second characteristic information; The detection area is obtained by taking the center of gravity of the cavity reflected by the second characteristic information as the center of a sphere and drawing a sphere with the value reflected by the influence radius as the radius; All the detection areas corresponding to the holes reflected by the second characteristic information are confirmed as the detection area information.

6. The method for detecting recycled bottle-grade polyester chips according to claim 5, characterized in that: The obtaining the influence radius based on the second feature information includes: Obtaining a total volume value; wherein the total volume value reflects the volume of the recycled bottle-grade polyester chips; Acquire a cavity volume value; wherein the cavity volume value reflects the volume occupied by the cavity corresponding to the second characteristic information; Dividing the cavity volume value by the total volume value to obtain a radius ratio; The influence radius is obtained by multiplying the radius ratio by a preset radius value.

7. The method for detecting recycled bottle-grade polyester chips according to claim 4, characterized in that: The obtaining of area detection information based on the detection area information includes: Confirming the overlapping portion of the detection areas in the detection area information as first area information; wherein the first area information includes at least one first area and at least one constituent number corresponding to the first area, the first area is a portion reflecting the overlap of at least two detection areas, and the constituent number is the number of the detection areas overlapping to form the first area; Confirming the portion of each detection area in the detection area information that does not overlap with other detection areas as second area information; wherein the second area information includes at least one second area, and the second area reflects 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.

8. The method for detecting recycled bottle-grade polyester chips according to claim 7, characterized in that: The 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 a 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 the impurities reflected by all the second characteristic information included in the first region 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 it 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 a second preset impurity ratio; wherein the second impurity ratio is the ratio of the sum of the volumes of the impurities reflected by all the second characteristic information included in the second region 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, the second test result reflecting unqualified quality is obtained; if the second impurity ratio is less than or equal to the second preset impurity ratio, the second test result reflecting qualified quality is obtained; All the first detection results and the second detection results obtained after the analysis of all the first areas and the second areas are completed are confirmed as the area detection information.

9. The method for detecting recycled bottle-grade polyester chips according to claim 4, characterized in that: The obtaining the detection result based on the area detection information includes: Determining whether the first detection result and / or the second detection result in the area detection information reflects unqualified quality; If the first detection result and / or the second detection result in the regional detection information reflect that the quality is unqualified, 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 that the quality is unqualified is sent to the user; If the first detection result does not exist in the regional detection information and / or the second detection result reflects that the quality is unqualified, the detection result reflecting that the quality of the recycled bottle-grade polyester chips is qualified is obtained.

10. A recycled bottle-grade polyester chip detection device, 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, the method according to any one of claims 1 to 9 is implemented.

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