Method and system for recycling waste medical polypropylene polymer material infusion bottle

Abstract

The present application relates to resource recycling technical field, a kind of waste medical polypropylene polymer material infusion bottle recycling method and system, comprising: screening initial infusion bottle set, obtain multiple first infusion bottle set, to first infusion bottle executes cleaning operation and obtains cleaning infusion bottle, confirm cleaning infusion bottle as recycled infusion bottle, obtain residual drug concentration, if residual drug concentration is greater than or equal to residual concentration threshold value, then again to recycled infusion bottle executes cleaning operation, the number of times that the cleaning operation is executed to first infusion bottle is counted, obtain cleaning times, when cleaning times reaches number threshold and residual drug concentration is greater than or equal to residual concentration threshold value, then the recycled infusion bottle is rejected, otherwise, the recycled infusion bottle that is retained is summarized to obtain initial recycled infusion bottle set, based on the initial recycled infusion bottle set obtains one or more target recycled infusion bottle set, realizes the recycling of initial infusion bottle.The present application can accurately and intelligently realize the recycling and classification of infusion bottle.

Description

Technical Field

[0001] This invention relates to the field of resource recycling technology, and in particular to a method and system for recycling waste medical polypropylene polymer infusion bottles. Background Technology

[0002] With the rapid development of the medical industry, disposable medical infusion bottles are widely used. Typically, these bottles are disposed of as medical waste after use, which not only wastes resources but also poses a potential pollution risk to the environment. Therefore, the recycling and sorting of polypropylene polymer infusion bottles is crucial for reducing resource waste.

[0003] Currently, the recycling and sorting of polypropylene polymer infusion bottles is mostly carried out manually.

[0004] While the methods described above can achieve the recycling and sorting of infusion bottles, the sorting process requires significant manpower, and the results depend heavily on the experience of the recycling personnel. Therefore, how to accurately and intelligently achieve the recycling and sorting of infusion bottles has become a pressing issue. Summary of the Invention

[0005] This invention provides a method for recycling waste medical polypropylene polymer infusion bottles and a computer-readable storage medium. Its main purpose is to accurately and intelligently achieve the recycling and classification of infusion bottles.

[0006] To achieve the above objectives, the present invention provides a method for recycling waste medical polypropylene polymer infusion bottles, comprising: receiving a recycling instruction; confirming an infusion bottle recycling environment based on the recycling instruction, wherein the infusion bottle recycling environment includes an initial infusion bottle set and an infusion bottle recycling unit, wherein the initial infusion bottle set includes multiple initial infusion bottles, and the infusion bottle recycling unit includes an infusion bottle sorting unit and an infusion bottle cleaning unit; using the infusion bottle sorting unit to filter the initial infusion bottle set to obtain multiple first infusion bottle sets, wherein the first infusion bottle sets include multiple first infusion bottles labeled with the name of a target drug; performing the following operation on each of the multiple first infusion bottle sets: performing the following operation on each of the first infusion bottles in the first infusion bottle set: using the infusion bottle cleaning unit to perform a cleaning operation on the first infusion bottle to obtain a cleaned infusion bottle, and confirming... After cleaning the infusion bottle to a preset clean infusion bottle, confirm that the clean infusion bottle is a preset recycled infusion bottle. Based on the target drug name and the recycled infusion bottle, obtain the residual drug concentration and compare it with a preset residual concentration threshold. If the residual drug concentration is greater than or equal to the residual concentration threshold, then use the recycled infusion bottle as the first infusion bottle and return to the step of performing a cleaning operation on the first infusion bottle using the infusion bottle cleaning unit. Count the number of times the cleaning operation is performed on the first infusion bottle to obtain the cleaning count. When the cleaning count reaches a preset count threshold and the residual drug concentration is greater than or equal to the residual concentration threshold, then discard the recycled infusion bottle; otherwise, retain the recycled infusion bottle. Summarize the retained recycled infusion bottles to obtain an initial recycled infusion bottle set. Based on the initial recycled infusion bottle set, obtain one or more target recycled infusion bottle sets to realize the recycling of the initial infusion bottles.

[0007] Optionally, the step of using the infusion bottle classification unit to filter the initial infusion bottle set to obtain multiple first infusion bottle sets includes: sequentially extracting initial infusion bottles from the initial infusion bottle set, and performing the following operations on the extracted initial infusion bottles: obtaining label images of the initial infusion bottles; recognizing the label images using the infusion bottle classification unit to obtain stored drug names; obtaining a classification database for classifying stored drugs, wherein the classification database stores multiple classification drug names; sequentially extracting classification drug names from the classification database, and performing the following operations on the extracted classification drug names: Name similarity is obtained based on stored drug names and category drug names. The name similarity is then aggregated to obtain a name similarity set. The target drug name is identified in the name similarity set. The extracted initial infusion bottles are then labeled based on the target drug name to obtain labeled infusion bottles. The target drug name is the category drug name corresponding to the highest name similarity in the name similarity set. The recycling status of the target drug name is identified. After confirming that the recycling status is a preset recyclable status, the labeled infusion bottles are aggregated according to the target drug name corresponding to the labeled infusion bottles to obtain multiple first infusion bottle sets.

[0008] Optionally, confirming that the cleaned infusion bottle is a preset clean infusion bottle includes: identifying a region of the label image in the initial infusion bottle to obtain a label region; confirming the label region in the cleaned infusion bottle to obtain a detection region; acquiring a detection image based on the detection region; acquiring a reference image set for determining whether there is residual adhesive in the detection region, wherein the reference image set includes multiple reference images; performing a grayscale operation on the detection image to obtain a grayscale detection image; acquiring a reference grayscale image set based on the reference image set, wherein the reference grayscale image set includes multiple reference grayscale images, and the reference grayscale images correspond one-to-one with the reference images; performing the following operation on each reference grayscale image in the reference grayscale image set: using a preset grayscale threshold and a pre-constructed region growing algorithm, identifying a classification grayscale image set in the reference grayscale image, wherein the classification grayscale image set includes one or more classification grayscale images; summarizing the classification grayscale image sets to obtain multiple classification grayscale image sets; and confirming that the cleaned infusion bottle is the cleaned infusion bottle based on the multiple classification grayscale image sets and the grayscale detection image.

[0009] Optionally, the step of confirming the cleaned infusion bottle as the clean infusion bottle based on multiple classification grayscale image sets and grayscale detection images includes: obtaining a reference grayscale mean using a reference grayscale image corresponding to the classification grayscale image set, wherein the reference grayscale mean is the mean of multiple reference grayscale values ​​in the reference grayscale image; summing the reference grayscale mean to obtain a reference grayscale mean set, wherein the reference grayscale mean in the reference grayscale mean set corresponds one-to-one with the classification grayscale image sets in the multiple classification grayscale image sets; and performing the following operation on each classification grayscale image set in the multiple classification grayscale image sets: obtaining the grayscale image mean based on the classification grayscale image set, the calculation formula is as follows:

[0010] ,in, This represents the mean value of a grayscale image. Represents the first grayscale image in one or more categories. A categorized grayscale image, This indicates that one or more grayscale images of different categories share a common feature. indivual, Represents the first grayscale image in the classification. The grayscale value corresponding to each pixel. Indicates the first There are a total of [number] grayscale images in the classification. Each pixel is considered; the average value of the grayscale image is summarized to obtain a grayscale image mean set. Based on the reference grayscale mean set and the grayscale image mean set, a reference grayscale threshold is calculated using the following formula:

[0011] ,in, Indicates the reference grayscale threshold. These represent the first and second reference gray-scale mean values ​​in the set. The first reference grayscale mean and the first A reference grayscale mean value This indicates that the reference grayscale mean set has a total of A reference grayscale mean value This indicates the preset parameters. Represents the first value in the grayscale image mean set. The average value of each grayscale image is used, and the average value of each grayscale image corresponds one-to-one with the average value of a reference grayscale image. The reference grayscale threshold and the grayscale detection image are used to confirm that the cleaned infusion bottle is the cleaned infusion bottle.

[0012] Optionally, confirming the cleaned infusion bottle as the cleaned infusion bottle using the reference grayscale threshold and the grayscale detection image includes: extracting R residual gel images from the grayscale detection image using the reference grayscale threshold and the region growing algorithm, where R is an integer greater than or equal to 0; performing the following operations on each of the R residual gel images: obtaining the residual gel area based on the residual gel image, summing the residual gel areas to obtain a residual gel area set; if at least one residual gel area in the residual gel area set is greater than or equal to a preset residual area threshold, then obtaining a contour image set of the cleaned infusion bottle, where the contour image set includes one or more contour images; sequentially extracting contour images from the contour image set, and performing the following operations on the extracted contour images: obtaining a standard image based on the extracted contour images, mapping both the contour images and the standard image to a pre-constructed image coordinate system to obtain a mapped coordinate set, where the mapped coordinate set includes multiple mapped coordinates; counting the number of pixels with a value of 1 corresponding to each mapped coordinate in the mapped coordinate set to obtain a statistical count; calculating the residual ratio based on the statistical count, using the following formula:

[0013] ,in, Indicates the residual proportion. Indicates the statistical quantity. The number of mapped coordinates is represented; the residual ratios are summarized to obtain a residual ratio set, and the cleaning infusion bottle is confirmed as the clean infusion bottle based on the residual ratio set.

[0014] Optionally, the step of confirming the cleaned infusion bottle as the clean infusion bottle based on the residual ratio set includes: if there is a residual ratio in the residual ratio set that is greater than or equal to a preset ratio threshold, then the cleaned infusion bottle is identified as the first infusion bottle, and the step of performing a cleaning operation on the first infusion bottle using the infusion bottle cleaning unit is returned; the number of times the cleaning operation is performed on the first infusion bottle is counted to obtain the number of cleaning operations; after confirming that the number of cleaning operations is less than a preset cleaning threshold and that all residual ratios in the residual ratio set are less than the ratio threshold, then the cleaned infusion bottle is confirmed as the clean infusion bottle.

[0015] Optionally, confirming that the clean infusion bottle is a preset recycled infusion bottle includes: acquiring a clean infusion image based on the clean infusion bottle; extracting an aging region image from the clean infusion image based on a preset aging threshold and the region growing algorithm; identifying an aging grayscale value set using the aging region image, wherein the aging grayscale value set includes multiple aging grayscale values; clustering the aging grayscale values ​​in the aging grayscale value set based on a pre-constructed clustering algorithm to obtain a grayscale cluster set, wherein the grayscale cluster set includes one or more grayscale clusters, and each grayscale cluster includes multiple aging grayscale values; performing the following operation on each grayscale cluster in the grayscale cluster set: obtaining the average aging grayscale value using the multiple aging grayscale values ​​corresponding to the grayscale cluster set. The aging grayscale mean is the average of multiple aging grayscale values. These aging grayscale mean values ​​are aggregated to obtain an aging grayscale mean set, which is used to obtain a grayscale aging database for evaluating clean infusion bottles. This grayscale aging database includes multiple grayscale weight nodes, each containing a retrieval grayscale value and a grayscale weight value. The following operations are performed on the aging grayscale mean values ​​in the aging grayscale mean set: The target weight node is retrieved from the grayscale aging database using the aging grayscale mean, where the Euclidean distance between the retrieval grayscale value corresponding to the target weight node and the aging grayscale mean is minimized. The Euclidean distance is compared with a preset distance threshold. If the Euclidean distance is greater than or equal to the distance threshold, the clean infusion bottle is removed; otherwise, the clean infusion bottle is confirmed as a recycled infusion bottle.

[0016] Optionally, obtaining one or more target sets of recycled infusion bottles based on the initial set of recycled infusion bottles includes: performing the following operations on all recycled infusion bottles in the initial set of recycled infusion bottles: counting the number of aged gray values ​​in each gray-scale cluster to obtain a cluster quantity set, wherein the cluster quantity set includes one or more cluster quantities, and the cluster quantity corresponds one-to-one with the gray-scale cluster group; calculating a comprehensive evaluation value based on the cluster quantity set and the gray-scale weight value corresponding to the cluster quantity; summarizing the comprehensive evaluation values ​​to obtain a comprehensive evaluation value set; using the clustering algorithm to cluster the comprehensive evaluation value set into one or more target evaluation value sets; and identifying one or more target sets of recycled infusion bottles based on the one or more target evaluation value sets, wherein the target evaluation value set corresponds one-to-one with the target sets of recycled infusion bottles.

[0017] Optionally, the comprehensive evaluation value is calculated based on the number of clusters and the corresponding grayscale weight values ​​in the cluster count set. The calculation formula is as follows:

[0018] ,in, This represents the comprehensive evaluation value. Indicates the number of clusters in the set of clusters. Number of clusters, Indicates the first The grayscale weight value corresponding to the number of clusters. Indicates the number of clusters in a set of clusters. Number of clusters.

[0019] To achieve the above objectives, the present invention also provides a recycling system for waste medical polypropylene polymer infusion bottles, comprising: a recycling environment confirmation module, used to receive a recycling instruction and confirm the recycling environment of the infusion bottles based on the recycling instruction, wherein the recycling environment includes an initial infusion bottle set and an infusion bottle recycling unit, wherein the initial infusion bottle set includes multiple initial infusion bottles, and the infusion bottle recycling unit includes: an infusion bottle sorting unit and an infusion bottle cleaning unit; an initial infusion bottle sorting module, used to filter the initial infusion bottle set using the infusion bottle sorting unit to obtain multiple first infusion bottle sets, wherein the first infusion bottle sets include multiple first infusion bottles labeled with the name of a target drug; and an infusion bottle recycling confirmation module, used to perform the following operation on each of the multiple first infusion bottle sets: perform the following operation on each of the first infusion bottles in the first infusion bottle set: clean the first infusion bottle using the infusion bottle cleaning unit. The process involves obtaining a cleaned infusion bottle, confirming it as a preset clean infusion bottle, and then confirming it as a preset recycled infusion bottle. Based on the target drug name and the recycled infusion bottle, the residual drug concentration is obtained and compared with a preset residual concentration threshold. If the residual drug concentration is greater than or equal to the residual concentration threshold, the recycled infusion bottle is selected as the first infusion bottle, and the process returns to the step of performing a cleaning operation on the first infusion bottle using the infusion bottle cleaning unit. The number of cleaning operations performed on the first infusion bottle is counted to obtain the cleaning count. When the cleaning count reaches a preset threshold and the residual drug concentration is greater than or equal to the residual concentration threshold, the recycled infusion bottle is discarded; otherwise, the recycled infusion bottle is retained. The retained recycled infusion bottles are summarized to obtain an initial set of recycled infusion bottles. The infusion bottle classification module is used to obtain one or more target sets of recycled infusion bottles based on the initial set of recycled infusion bottles to achieve the recycling of the initial infusion bottles.

[0020] To address the aforementioned problems, the present invention also provides an electronic device comprising: a memory storing at least one instruction; and a processor executing the instruction stored in the memory to implement the above-described method for recycling waste medical polypropylene polymer infusion bottles.

[0021] To address the aforementioned problems, the present invention also provides a computer-readable storage medium storing at least one instruction, which is executed by a processor in an electronic device to implement the above-described method for recycling waste medical polypropylene polymer infusion bottles.

[0022] To address the problems described in the background art, this invention utilizes the infusion bottle classification unit to filter the initial infusion bottle set, obtaining multiple first infusion bottle sets. Each first infusion bottle set includes multiple first infusion bottles labeled with the name of the target drug. Thus, this invention determines whether the initial infusion bottles meet the recycling standards before recycling them, thereby improving the accuracy and intelligence of recycling the initial infusion bottles. The first infusion bottle is cleaned using the infusion bottle cleaning unit to obtain a cleaned infusion bottle. After confirming that the cleaned infusion bottle is a preset clean infusion bottle, it is then confirmed as a preset recycled infusion bottle. The residual drug concentration is obtained based on the target drug name and the recycled infusion bottle. The residual drug concentration is compared with a preset residual concentration threshold. If the residual drug concentration is greater than or equal to the residual concentration threshold, the recycled infusion bottle is used as the first infusion bottle, and the process returns to the step of cleaning the first infusion bottle using the infusion bottle cleaning unit. The number of times the cleaning operation is performed on the first infusion bottle is counted to obtain the cleaning count. When the cleaning count reaches a preset count threshold and the residual drug concentration is greater than or equal to the residual concentration threshold, the recycled infusion bottle is discarded; otherwise, the recycled infusion bottle is retained. The retained recycled infusion bottles are summarized to obtain an initial set of recycled infusion bottles. It can be seen that this invention, in terms of initial... Before recycling the initial infusion bottles, it is clearly stipulated that the initial infusion bottles must be thoroughly cleaned. The aging degree of the cleaned infusion bottles is then assessed to ensure their recycling value. Next, it is determined whether the concentration of residual medication in the recycled infusion bottles meets the recycling requirements. Furthermore, considering the specific circumstances of the recycled infusion bottles, residual concentration thresholds and frequency thresholds are set. When both residual concentration thresholds and frequency thresholds are met, an initial set of recycled infusion bottles is obtained. Based on this initial set of recycled infusion bottles, one or more target sets of recycled infusion bottles are obtained, realizing the recycling of the initial infusion bottles. It is evident that this embodiment of the invention further classifies the initial set of recycled infusion bottles according to their aging degree, thereby improving the accuracy and intelligence of infusion bottle recycling and classification. Therefore, this invention can accurately and intelligently achieve the recycling and classification of infusion bottles. Attached Figure Description

[0023] Figure 1 This is a schematic flowchart of a method for recycling waste medical polypropylene polymer infusion bottles according to an embodiment of the present invention. Figure 2 This is a functional block diagram of a recycling system for waste medical polypropylene polymer infusion bottles provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of an electronic device for implementing the recycling method of waste medical polypropylene polymer infusion bottles according to an embodiment of the present invention.

[0024] Explanation of reference numerals in the attached figures: 1. Electronic device; 10. Processor; 11. Memory; 12. Bus.

[0025] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0026] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0027] This application provides a method for recycling waste medical polypropylene polymer infusion bottles. The entity executing this recycling method includes, but is not limited to, at least one electronic device configured to execute the method provided in this application, such as a server or a terminal. In other words, the recycling method can be executed by software or hardware installed on a terminal device or server device, and the software can be a blockchain platform. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.

[0028] Reference Figure 1 The diagram shown is a flowchart illustrating a method for recycling waste medical polypropylene polymer infusion bottles according to an embodiment of the present invention. In this embodiment, the method for recycling waste medical polypropylene polymer infusion bottles includes: S1, receiving a recycling instruction and confirming the infusion bottle recycling environment based on the recycling instruction. The infusion bottle recycling environment includes an initial infusion bottle set and an infusion bottle recycling unit. The initial infusion bottle set includes multiple initial infusion bottles, and the infusion bottle recycling unit includes an infusion bottle sorting unit and an infusion bottle cleaning unit.

[0029] It should be explained that the recycling instruction is used to recycle infusion bottles. The infusion bottle recycling environment is a necessary environment for recycling infusion bottles, and the infusion bottle recycling environment includes an initial infusion bottle set and an infusion bottle recycling unit. The infusion bottle recycling unit includes an infusion bottle sorting unit and an infusion bottle cleaning unit. For specific applications of the unit, please refer to subsequent embodiments. The initial infusion bottles refer to the collected but unprocessed infusion bottles. Optionally, the initial infusion bottles are obtained by collecting used infusion bottles in hospitals or clinics.

[0030] For example, in order to improve the accuracy and intelligence of polypropylene infusion bottle recycling and to improve the recycling and reuse of polypropylene infusion bottles, the recycling instruction is issued by medical worker Xiao Zhang, and Xiao Zhang confirms the infusion bottle recycling environment for realizing the recycling of infusion bottles.

[0031] S2. The initial infusion bottle set is filtered using the infusion bottle classification unit to obtain multiple first infusion bottle sets, wherein the first infusion bottle set includes multiple first infusion bottles labeled with the name of the target drug.

[0032] Further, the step of using the infusion bottle classification unit to filter the initial infusion bottle set to obtain multiple first infusion bottle sets includes: sequentially extracting initial infusion bottles from the initial infusion bottle set, and performing the following operations on the extracted initial infusion bottles: acquiring label images of the initial infusion bottles; recognizing the label images using the infusion bottle classification unit to obtain stored drug names; acquiring a classification database for classifying stored drugs, wherein the classification database stores multiple classification drug names; sequentially extracting classification drug names from the classification database, and performing the following operations on the extracted classification drug names. The process involves: obtaining name similarity scores based on stored drug names and categorized drug names; summarizing these score scores to obtain a name similarity set; identifying the target drug name within the name similarity set; labeling the extracted initial infusion bottles based on the target drug name to obtain labeled infusion bottles, where the target drug name is the categorized drug name corresponding to the highest name similarity score in the name similarity set; identifying the recycling status of the target drug name; confirming that the recycling status is a preset recyclable status; and summarizing the labeled infusion bottles according to the target drug name corresponding to each labeled infusion bottle to obtain multiple first infusion bottle sets.

[0033] It should be explained that the label image refers to the label identifying the medication information stored in the infusion bottle. Optionally, a camera with OCR technology can be used as the classification unit for the infusion bottle. Other technologies can achieve the same effect, which will not be elaborated here. OCR technology refers to a technique that converts text information in an image into editable and searchable electronic text. Stored medication name refers to the name of the medication identified in the label image. For example, the stored medication name is saline solution. Classified medication name refers to the medication names used to classify infusion bottles containing different types of medication names. Classified medication names include, but are not limited to, saline solution and glucose.

[0034] Understandably, classifying infusion bottles containing different types of medicines facilitates targeted cleaning of the bottles, thereby saving energy during cleaning and improving the safety of recycling them.

[0035] It should be understood that name similarity refers to the similarity between the categorized drug names and the stored drug names. Optionally, this can be achieved by converting both the categorized drug names and the stored drug names into corresponding text vectors, and then calculating the cosine distance between the text vectors as the name similarity. The technique for calculating name similarity is existing technology and will not be elaborated upon here. For example, if the initial infusion bottle set includes three initial infusion bottles, and the target drug name corresponding to the first initial infusion bottle is glucose, then the initial infusion bottle is identified using the target drug name, resulting in an initial infusion bottle identified with the target drug name. This initial infusion bottle identified with the target drug name is called the identified infusion bottle, and the identified infusion bottle is named: Glucose - Initial Infusion Bottle. Generally, the recycling status is used to characterize whether the identified infusion bottle can be recycled; the recyclable status means that the identified infusion bottle can be recycled.

[0036] Understandably, the medications originally stored in the infusion bottle must be considered before recycling it. If the infusion bottle originally contained cytotoxic drugs, it is generally not advisable to recycle it. Typically, the recycling status can be pre-set based on the target drug name.

[0037] For example, the initial infusion bottle set includes 10 initial infusion bottles. The target drug name corresponding to the first three initial infusion bottles is glucose, the target drug name corresponding to the last three initial infusion bottles is ifosfamide, and the target drug name corresponding to the remaining four initial infusion bottles is saline. The target drug name is identified, and it is confirmed that the initial infusion bottles that previously stored glucose and the initial infusion bottles that previously stored saline are in a recyclable state. Ifosfamide is identified as not in a recyclable state, then the initial infusion bottles that meet the conditions among the 10 initial infusion bottles are summarized to obtain two first infusion bottle sets. The first first infusion bottle set is the first three initial infusion bottles, and the second first infusion bottle set is the last three initial infusion bottles.

[0038] S3. The first infusion bottle is cleaned using the infusion bottle cleaning unit to obtain a cleaned infusion bottle. After confirming that the cleaned infusion bottle is a preset clean infusion bottle, it is confirmed that the cleaned infusion bottle is a preset recycled infusion bottle. The residual drug concentration is obtained based on the target drug name and the recycled infusion bottle, and the residual drug concentration is compared with a preset residual concentration threshold.

[0039] It should be explained that the first infusion bottle needs to be cleaned before it is recycled in order to remove any residual medicine or dust adhering to its surface.

[0040] Understandably, the step of using the infusion bottle cleaning unit to perform a cleaning operation on the first infusion bottle to obtain a clean infusion bottle includes: using a pre-constructed soaking unit to perform a soaking operation on the first infusion bottle to obtain a soaked infusion bottle, wherein the soaking unit stores a soaking solution of a preset concentration, and presets the soaking operation time and the soaking operation temperature; and using the infusion bottle cleaning unit to perform a cleaning operation on the soaked infusion bottle to obtain a clean infusion bottle.

[0041] Generally, the purpose of soaking the first infusion bottle is to soften dust, labels, and adhesive adhering to it. The soaking solution is a solution used to soften adhesive; optionally, an alkaline solution is used. Optionally, a fully automatic cleaning machine is used as the infusion bottle cleaning unit; other technologies can achieve the same effect and will not be elaborated upon here. The cleaning operation refers to cleaning the inside and outside of the first infusion bottle using the infusion bottle cleaning unit.

[0042] Further, the step of confirming that the cleaned infusion bottle is a preset clean infusion bottle includes: identifying a region of the label image in the initial infusion bottle to obtain a label region; confirming the label region in the cleaned infusion bottle to obtain a detection region; acquiring a detection image based on the detection region; acquiring a reference image set for determining whether there is residual adhesive in the detection region, wherein the reference image set includes multiple reference images; performing a grayscale operation on the detection image to obtain a grayscale detection image; acquiring a reference grayscale image set based on the reference image set, wherein the reference grayscale image set includes multiple reference grayscale images, and the reference grayscale images correspond one-to-one with the reference images; performing the following operation on each reference grayscale image in the reference grayscale image set: using a preset grayscale threshold and a pre-constructed region growing algorithm, identifying a classification grayscale image set in the reference grayscale image, wherein the classification grayscale image set includes one or more classification grayscale images; summarizing the classification grayscale image sets to obtain multiple classification grayscale image sets; and confirming that the cleaned infusion bottle is the cleaned infusion bottle based on the multiple classification grayscale image sets and the grayscale detection image.

[0043] It should be explained that the label area refers to the region corresponding to the location of the label image on the initial infusion bottle. The detection area refers to the label area corresponding to the initial infusion bottle after cleaning. For example: before cleaning the initial infusion bottle A, a pre-built neural network model is used to identify the location of the label corresponding to the initial infusion bottle A, obtaining label area B. The initial infusion bottle is then cleaned using a fully automated cleaning machine, and the location corresponding to label area B is identified in the cleaned initial infusion bottle, obtaining the detection area. An image of the detection area is then captured, obtaining the detection image.

[0044] It is understood that the grayscale conversion operation is a technique for converting a color image into a grayscale image, and this technique is existing technology and will not be described in detail here. The technique for obtaining a reference grayscale image set using a reference image set is the same as the technique for obtaining a grayscale detection image using a detection image, and will not be described in detail here. The region growing algorithm is existing technology and will not be described in detail here. It is generally understood that there may be more than one residual adhesive in the reference grayscale image; therefore, using the region growing algorithm, more than one category of grayscale image can be identified in the reference grayscale image.

[0045] Further, the step of confirming the cleaned infusion bottle as the clean infusion bottle based on multiple classification grayscale image sets and grayscale detection images includes: obtaining a reference grayscale mean using a reference grayscale image corresponding to the classification grayscale image set, wherein the reference grayscale mean is the average of multiple reference grayscale values ​​in the reference grayscale image; summing the reference grayscale mean to obtain a reference grayscale mean set, wherein the reference grayscale mean in the reference grayscale mean set corresponds one-to-one with the classification grayscale image sets in the multiple classification grayscale image sets; and performing the following operation on each classification grayscale image set in the multiple classification grayscale image sets: obtaining the grayscale image mean based on the classification grayscale image set, the calculation formula is as follows:

[0046] ,in, This represents the mean value of a grayscale image. Represents the first grayscale image in one or more categories. A categorized grayscale image, This indicates that one or more grayscale images of different categories share a common feature. indivual, Represents the first grayscale image in the classification. The grayscale value corresponding to each pixel. Indicates the first There are a total of [number] grayscale images in the classification. Each pixel is considered; the average value of the grayscale image is summarized to obtain a grayscale image mean set. Based on the reference grayscale mean set and the grayscale image mean set, a reference grayscale threshold is calculated using the following formula:

[0047] ,in, Indicates the reference grayscale threshold. These represent the first and second reference gray-scale mean values ​​in the set. The first reference grayscale mean and the first A reference grayscale mean value This indicates that the reference grayscale mean set has a total of A reference grayscale mean value This indicates the preset parameters. Represents the first value in the grayscale image mean set. The average value of each grayscale image is used, and the average value of each grayscale image corresponds one-to-one with the average value of a reference grayscale image. The reference grayscale threshold and the grayscale detection image are used to confirm that the cleaned infusion bottle is the cleaned infusion bottle.

[0048] Understandably, when labeling polypropylene infusion bottles, adhesive is generally used, and the color of the adhesive is usually quite different from the color of the polypropylene infusion bottle body. Therefore, the adhesive on the polypropylene infusion bottle body can be identified by setting a grayscale threshold. In this embodiment, residual adhesive refers to the adhesive residue left after the polypropylene infusion bottle is not cleaned properly.

[0049] Furthermore, when employing a region growing algorithm, it may be possible not only to identify the adhesive in the reference grayscale image but also to identify areas yellowed due to aging of the polypropylene infusion bottle as residual adhesive. Therefore, this embodiment uses the grayscale image mean to characterize the aging status of the infusion bottle corresponding to the grayscale image set; that is, the larger the grayscale image mean, the more aging areas may exist in the grayscale image set or the more adhesive may be present in the infusion bottle. Generally, identifying aging areas as residual adhesive may lead to inaccuracies. Therefore, in this embodiment, when calculating the reference grayscale threshold, the weight of larger reference grayscale mean values ​​is set to smaller values ​​to improve the accuracy of the calculated reference grayscale threshold, thereby improving the accuracy of polypropylene infusion bottle recycling.

[0050] Understandably, the step of confirming the cleaned infusion bottle as the cleaned infusion bottle using the reference grayscale threshold and the grayscale detection image includes: using the reference grayscale threshold and the region growing algorithm to extract R residual gel images from the grayscale detection image, where R is an integer greater than or equal to 0; performing the following operations on each of the R residual gel images: obtaining the residual gel area based on the residual gel image, summing the residual gel areas to obtain a residual gel area set; if at least one residual gel area in the residual gel area set is greater than or equal to a preset residual area threshold, then obtaining a contour image set of the cleaned infusion bottle, where the contour image set includes one or more contour images; sequentially extracting contour images from the contour image set, and performing the following operations on the extracted contour images: obtaining a standard image based on the extracted contour images, mapping both the contour images and the standard image to a pre-constructed image coordinate system to obtain a mapped coordinate set, where the mapped coordinate set includes multiple mapped coordinates; counting the number of pixels with a value of 1 corresponding to each mapped coordinate in the mapped coordinate set to obtain a statistical count; calculating the residual ratio based on the statistical count, the calculation formula is as follows:

[0051] ,in, Indicates the residual proportion. Indicates the statistical quantity. The number of mapped coordinates is represented; the residual ratios are summarized to obtain a residual ratio set, and the cleaning infusion bottle is confirmed as the clean infusion bottle based on the residual ratio set.

[0052] Furthermore, by using the obtained reference grayscale threshold and region growing algorithm, an image including residual adhesive can be extracted from the grayscale detection image; this image is the residual adhesive image. Generally, residual adhesive may not remain after cleaning; therefore, the number of residual adhesive images may be zero. Optionally, the residual adhesive area is characterized by the number of pixels; other techniques can achieve the same effect, which will not be elaborated here. The purpose of setting a residual area threshold is to eliminate misidentification of residual adhesive images due to noise or other factors. Therefore, by setting a residual area threshold, potential noise issues are eliminated, thereby improving the accuracy of residual adhesive identification.

[0053] It should be understood that the contour image set is used to characterize the outer contour of a polypropylene infusion bottle where residual adhesive may remain on the label. Specifically, the contour image is used to characterize the presence of residual adhesive on the bottle body after cleaning. For example, when the polypropylene infusion bottle is cylindrical, the contour images in the contour image set can be a top view or a bottom view of the bottle. Generally, the acquired contour images need to be combined with the shape of the polypropylene infusion bottle and the location of the label. Optionally, contour images can be obtained by photographing polypropylene infusion bottles from different angles; other methods can achieve the same effect, and will not be elaborated further here.

[0054] Understandably, a standard image refers to an image that corresponds to the same orientation as the contour image but does not contain residual adhesive. Optionally, a pixel coordinate system can be used as the image coordinate system. Generally, when there is no residual adhesive in the infusion bottle, the contour image and the standard image should be completely identical, that is, the number of pixels corresponding to each mapped coordinate is 2, one from the contour image and the other from the standard image. When the number of pixels corresponding to a mapped coordinate is 1, it indicates that there is residual adhesive in the contour image.

[0055] It should be explained that the step of confirming the cleaned infusion bottle as the clean infusion bottle based on the residual ratio set includes: if there is a residual ratio in the residual ratio set that is greater than or equal to a preset ratio threshold, then the cleaned infusion bottle is identified as the first infusion bottle, and the step of performing the cleaning operation on the first infusion bottle using the infusion bottle cleaning unit is returned; the number of times the cleaning operation is performed on the first infusion bottle is counted to obtain the number of cleaning operations; after confirming that the number of cleaning operations is less than the preset cleaning threshold and that the residual ratios in the residual ratio set are all less than the ratio threshold, then the cleaned infusion bottle is confirmed as the clean infusion bottle.

[0056] Furthermore, if the residual proportion is concentrated at or above the threshold, it indicates a significant amount of residual adhesive in the infusion bottle, necessitating further cleaning. Generally, residual adhesive in the infusion bottle may be difficult to remove due to aging, deterioration, or other factors. Therefore, if multiple cleaning attempts fail to remove the adhesive completely, the infusion bottle should be discarded. The cleaning threshold characterizes the number of times the infusion bottle needs to be cleaned.

[0057] Understandably, confirming that the clean infusion bottle is a preset recycled infusion bottle includes: acquiring a clean infusion image based on the clean infusion bottle; extracting an aging region image from the clean infusion image based on a preset aging threshold and the region growing algorithm; identifying an aging grayscale value set using the aging region image, wherein the aging grayscale value set includes multiple aging grayscale values; clustering the aging grayscale values ​​in the aging grayscale value set based on a pre-constructed clustering algorithm to obtain a grayscale cluster set, wherein the grayscale cluster set includes one or more grayscale clusters, and the grayscale clusters include multiple aging grayscale values; performing the following operation on each grayscale cluster in the grayscale cluster set: obtaining the average aging grayscale value using the multiple aging grayscale values ​​corresponding to the grayscale cluster set. The process involves several steps: First, the aging grayscale mean is the average of multiple aging grayscale values. Second, the aging grayscale mean values ​​are aggregated to obtain an aging grayscale mean set. Third, a grayscale aging database for evaluating clean infusion bottles is acquired. This database includes multiple grayscale weight nodes, each containing a retrieval grayscale value and a grayscale weight value. Fourth, the following operations are performed on the aging grayscale mean values ​​in the grayscale mean set: The target weight node is retrieved from the grayscale aging database using the aging grayscale mean value, where the Euclidean distance between the retrieval grayscale value corresponding to the target weight node and the aging grayscale mean value is minimized. Fifth, the Euclidean distance is compared with a preset distance threshold. Sixth, if the Euclidean distance is greater than or equal to the distance threshold, the clean infusion bottle is removed; otherwise, the clean infusion bottle is confirmed as the recycled infusion bottle.

[0058] Furthermore, the clean infusion image is an image taken of the clean infusion bottle, and the clean infusion image includes areas representing aging of the clean infusion bottle, i.e., yellow areas in the clean infusion bottle. The method of extracting the aging region image using an aging threshold and region growing algorithm is the same as the method of extracting the residual gel image from the grayscale detection image using a reference grayscale threshold and region growing algorithm, and will not be described again here. The aging grayscale value refers to the grayscale value included in the aging region image. Optionally, the k-means clustering algorithm is used as the clustering algorithm; other techniques can achieve the same effect, and will not be described again here. The technique of clustering the aging grayscale values ​​in the aging grayscale value set into multiple grayscale clusters using a clustering algorithm is existing technology and will not be described again here. For example, when using the k-means clustering algorithm, the aging grayscale values ​​in the aging grayscale value set can be clustered into multiple clusters, wherein each cluster includes multiple aging grayscale values, and the aging grayscale values ​​contained in each cluster are the grayscale clusters.

[0059] Understandably, the grayscale aging database is a database used to assess the aging degree of clean infusion bottles. Optionally, the grayscale weight nodes in the grayscale aging database can be set through expert evaluation. For example, to assess the aging degree of infusion bottles, multiple experts use the analytic hierarchy process (AHP) to evaluate infusion bottles with different aging degrees, thereby constructing the grayscale aging database.

[0060] It should be explained that the technology for obtaining the Euclidean distance is existing technology and will not be elaborated here. When the Euclidean distance is greater than or equal to the distance threshold, it indicates that the clean infusion bottle is too old and no longer has the value of recycling. Therefore, the clean infusion bottle should be discarded.

[0061] It should be understood that residual drug concentration refers to the drug concentration remaining after drug concentration testing of the recycled infusion bottle according to the target drug name. Optionally, the residual drug concentration can be obtained using spectroscopic analysis.

[0062] S4. If the residual drug concentration is greater than or equal to the residual concentration threshold, then take the recovered infusion bottle as the first infusion bottle, return to the step of performing a cleaning operation on the first infusion bottle using the infusion bottle cleaning unit, count the number of times the cleaning operation is performed on the first infusion bottle, and obtain the number of cleaning operations.

[0063] It should be explained that when the residual drug concentration is greater than or equal to the residual concentration threshold, it indicates that residual drug remains in the recycled infusion bottle. Therefore, the recycled infusion bottle needs to be cleaned again. The reason for the possible presence of residual drug in the recycled infusion bottle may be due to drug erosion or adsorption, making it difficult to remove completely. Here, the standard for assessing complete drug removal is that the residual drug concentration is less than or equal to the residual concentration threshold. The cleaning count is the sum of the initial cleaning count and the number of cleaning operations performed when the first infusion bottle is subsequently cleaned again. For example, if the initial infusion bottle was cleaned 3 times before obtaining the clean infusion bottle, the cleaning count is 3. Then, if the residual drug concentration is determined to be greater than the residual concentration threshold, the recycled infusion bottle is cleaned again; in this case, the cleaning count is 4.

[0064] S5. When the number of cleanings reaches a preset threshold and the residual drug concentration is greater than or equal to the residual concentration threshold, the recycled infusion bottle is discarded; otherwise, the recycled infusion bottle is retained. The retained recycled infusion bottles are then summarized to obtain an initial set of recycled infusion bottles.

[0065] It should be understood that when the number of cleaning cycles reaches a threshold and the residual drug concentration is greater than or equal to a residual concentration threshold, it indicates that it is difficult to remove the residual drug from the recycled infusion bottle. Therefore, the recycled infusion bottle has no recycling value, or the recycling process may result in injury to the recycling personnel.

[0066] S6. Based on the initial set of recycled infusion bottles, obtain one or more target sets of recycled infusion bottles to realize the recycling of the initial infusion bottles.

[0067] It should be explained that obtaining one or more target sets of recycled infusion bottles based on the initial set of recycled infusion bottles includes: performing the following operations on the recycled infusion bottles in the initial set of recycled infusion bottles: counting the number of aged gray values ​​in each gray-scale cluster to obtain a cluster quantity set, wherein the cluster quantity set includes one or more cluster quantities, and the cluster quantity corresponds one-to-one with the gray-scale cluster group; calculating a comprehensive evaluation value based on the cluster quantity set and the gray-scale weight value corresponding to the cluster quantity; summarizing the comprehensive evaluation values ​​to obtain a comprehensive evaluation value set; using the clustering algorithm to cluster the comprehensive evaluation value set into one or more target evaluation value sets; and identifying one or more target sets of recycled infusion bottles based on the one or more target evaluation value sets, wherein the target evaluation value set corresponds one-to-one with the target sets of recycled infusion bottles.

[0068] Understandably, the method of clustering the comprehensive evaluation value set into one or more target evaluation value sets using the clustering algorithm is the same as the method of clustering the aged gray values ​​in the aged gray value set to obtain gray-level cluster sets, and will not be described in detail here. For example, the gray-level cluster set includes three gray-level clusters, and the first gray-level cluster includes 10 gray values, where the gray values ​​are the aged gray values. Therefore, the number of clusters is 10 based on the number of aged gray values ​​in the first gray-level cluster.

[0069] Furthermore, the comprehensive evaluation value is calculated based on the number of clusters and the corresponding grayscale weight values ​​within the cluster size set. The calculation formula is as follows:

[0070] ,in, This represents the comprehensive evaluation value. Indicates the number of clusters in the set of clusters. Number of clusters, Indicates the first The grayscale weight value corresponding to the number of clusters. Indicates the number of clusters in a set of clusters. Number of clusters.

[0071] To address the problems described in the background art, this invention utilizes the infusion bottle classification unit to filter the initial infusion bottle set, obtaining multiple first infusion bottle sets. Each first infusion bottle set includes multiple first infusion bottles labeled with the name of the target drug. Thus, this invention determines whether the initial infusion bottles meet the recycling standards before recycling them, thereby improving the accuracy and intelligence of recycling the initial infusion bottles. The first infusion bottle is cleaned using the infusion bottle cleaning unit to obtain a cleaned infusion bottle. After confirming that the cleaned infusion bottle is a preset clean infusion bottle, it is then confirmed as a preset recycled infusion bottle. The residual drug concentration is obtained based on the target drug name and the recycled infusion bottle. The residual drug concentration is compared with a preset residual concentration threshold. If the residual drug concentration is greater than or equal to the residual concentration threshold, the recycled infusion bottle is used as the first infusion bottle, and the process returns to the step of cleaning the first infusion bottle using the infusion bottle cleaning unit. The number of times the cleaning operation is performed on the first infusion bottle is counted to obtain the cleaning count. When the cleaning count reaches a preset count threshold and the residual drug concentration is greater than or equal to the residual concentration threshold, the recycled infusion bottle is discarded; otherwise, the recycled infusion bottle is retained. The retained recycled infusion bottles are summarized to obtain an initial set of recycled infusion bottles. It can be seen that this invention, in terms of initial... Before recycling the initial infusion bottles, it is clearly stipulated that the initial infusion bottles must be thoroughly cleaned. The aging degree of the cleaned infusion bottles is then assessed to ensure their recycling value. Next, it is determined whether the concentration of residual medication in the recycled infusion bottles meets the recycling requirements. Furthermore, considering the specific circumstances of the recycled infusion bottles, residual concentration thresholds and frequency thresholds are set. When both residual concentration thresholds and frequency thresholds are met, an initial set of recycled infusion bottles is obtained. Based on this initial set of recycled infusion bottles, one or more target sets of recycled infusion bottles are obtained, realizing the recycling of the initial infusion bottles. It is evident that this embodiment of the invention further classifies the initial set of recycled infusion bottles according to their aging degree, thereby improving the accuracy and intelligence of infusion bottle recycling and classification. Therefore, this invention can accurately and intelligently achieve the recycling and classification of infusion bottles.

[0072] like Figure 2 The diagram shown is a functional block diagram of a recycling system for waste medical polypropylene polymer infusion bottles provided in an embodiment of the present invention.

[0073] The waste medical polypropylene polymer infusion bottle recycling system 100 of this invention can be installed in an electronic device. Depending on the functions implemented, the waste medical polypropylene polymer infusion bottle recycling system 100 may include a recycling environment confirmation module 101, an infusion bottle initial sorting module 102, an infusion bottle recycling confirmation module 103, and an infusion bottle sorting module 104. The module described in this invention can also be called a unit, referring to a series of computer program segments that can be executed by the processor of an electronic device and can perform a fixed function, stored in the memory of the electronic device.

[0074] The recycling environment confirmation module 101 is used to receive a recycling instruction and confirm the infusion bottle recycling environment based on the recycling instruction. The infusion bottle recycling environment includes an initial infusion bottle set and an infusion bottle recycling unit. The initial infusion bottle set includes multiple initial infusion bottles, and the infusion bottle recycling unit includes an infusion bottle sorting unit and an infusion bottle cleaning unit. The initial infusion bottle sorting module 102 is used to filter the initial infusion bottle set using the infusion bottle sorting unit to obtain multiple first infusion bottle sets. Each first infusion bottle set includes multiple first infusion bottles labeled with the target drug name. The infusion bottle recycling confirmation module 103 is used to perform the following operation on each of the multiple first infusion bottle sets: perform the following operation on each first infusion bottle in the first infusion bottle set: perform a cleaning operation on the first infusion bottle using the infusion bottle cleaning unit to obtain a cleaned infusion bottle and confirm the cleaning. After the infusion bottle is identified as a preset clean infusion bottle, it is confirmed that the clean infusion bottle is a preset recycled infusion bottle. The residual drug concentration is obtained based on the target drug name and the recycled infusion bottle, and compared with a preset residual concentration threshold. If the residual drug concentration is greater than or equal to the residual concentration threshold, the recycled infusion bottle is selected as the first infusion bottle, and the process returns to the step of performing a cleaning operation on the first infusion bottle using the infusion bottle cleaning unit. The number of cleaning operations performed on the first infusion bottle is counted to obtain the cleaning count. When the cleaning count reaches a preset threshold and the residual drug concentration is greater than or equal to the residual concentration threshold, the recycled infusion bottle is removed; otherwise, the recycled infusion bottle is retained. The retained recycled infusion bottles are summarized to obtain an initial recycled infusion bottle set. The infusion bottle classification module 104 is used to obtain one or more target recycled infusion bottle sets based on the initial recycled infusion bottle set to realize the recycling of the initial infusion bottles.

[0075] In detail, the modules in the waste medical polypropylene polymer infusion bottle recycling system 100 described in this embodiment of the invention employ the same methods as described above during use. Figure 1 The recycling method for waste medical polypropylene polymer infusion bottles described herein uses the same technical means and can produce the same technical effect, so it will not be repeated here.

[0076] like Figure 3 The diagram shown is a schematic representation of an electronic device for a method of recycling waste medical polypropylene polymer infusion bottles according to an embodiment of the present invention.

[0077] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a method program for recycling waste medical polypropylene polymer infusion bottles.

[0078] The memory 11 includes at least one type of readable storage medium, such as flash memory, portable hard drive, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the electronic device 1, such as the portable hard drive of the electronic device 1. In other embodiments, the memory 11 can be an external storage device of the electronic device 1, such as a plug-in portable hard drive, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the electronic device 1. Furthermore, the memory 11 includes both internal storage units and external storage devices of the electronic device 1. The memory 11 can be used not only to store application software and various types of data installed on the electronic device 1, such as the code for a recycling method program for waste medical polypropylene polymer infusion bottles, but also to temporarily store data that has been output or will be output.

[0079] In some embodiments, the processor 10 may be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 10 is the control unit of the electronic device, connecting various components of the entire electronic device through various interfaces and lines. It executes programs or modules stored in the memory 11 (e.g., a method for recycling waste medical polypropylene polymer infusion bottles) and calls data stored in the memory 11 to perform various functions of the electronic device 1 and process data.

[0080] The bus 12 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 can be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize the connection and communication between the memory 11 and at least one processor 10, etc.

[0081] Figure 3 Only electronic devices with components are shown; those skilled in the art will understand that... Figure 3 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown, or combine certain components, or have different component arrangements.

[0082] For example, although not shown, the electronic device 1 may also include a power supply (such as a battery) to power the various components. Preferably, the power supply can be logically connected to the at least one processor 10 through a power management system, thereby enabling functions such as charging management, discharging management, and power consumption management through the power management system. The power supply may also include one or more DC or AC power supplies, recharging systems, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be described in detail here.

[0083] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a Wi-Fi interface, a Bluetooth interface, etc.), which is typically used to establish communication connections between the electronic device 1 and other electronic devices.

[0084] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), and optionally, a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen, etc. The display may also be appropriately referred to as a screen or display unit, used to display information processed in the electronic device 1 and to display a visual user interface.

[0085] The recycling method program for waste medical polypropylene polymer infusion bottles stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When run in the processor 10, it can achieve the following: receiving recycling instructions; confirming the infusion bottle recycling environment based on the recycling instructions, wherein the infusion bottle recycling environment includes an initial infusion bottle set and an infusion bottle recycling unit, wherein the initial infusion bottle set includes multiple initial infusion bottles, and the infusion bottle recycling unit includes an infusion bottle sorting unit and an infusion bottle cleaning unit; using the infusion bottle sorting unit to filter the initial infusion bottle set to obtain multiple first infusion bottle sets, wherein the first infusion bottle set includes multiple first infusion bottles labeled with the name of the target drug; performing the following operation on each of the multiple first infusion bottle sets: performing the following operation on each of the first infusion bottles in the first infusion bottle set: using the infusion bottle cleaning unit to clean the first infusion bottle. The process involves a washing operation to obtain a cleaned infusion bottle. After confirming that the cleaned infusion bottle is a preset clean infusion bottle, it is then confirmed that the cleaned infusion bottle is a preset recycled infusion bottle. Based on the target drug name and the recycled infusion bottle, the residual drug concentration is obtained and compared with a preset residual concentration threshold. If the residual drug concentration is greater than or equal to the residual concentration threshold, the recycled infusion bottle is selected as the first infusion bottle, and the process returns to the step of performing a cleaning operation on the first infusion bottle using the infusion bottle cleaning unit. The number of times the cleaning operation is performed on the first infusion bottle is counted to obtain the cleaning count. When the cleaning count reaches a preset count threshold and the residual drug concentration is greater than or equal to the residual concentration threshold, the recycled infusion bottle is discarded. Otherwise, the recycled infusion bottle is retained. The retained recycled infusion bottles are summarized to obtain an initial recycled infusion bottle set. Based on the initial recycled infusion bottle set, one or more target recycled infusion bottle sets are obtained to realize the recycling of the initial infusion bottle.

[0086] Specifically, the processor 10's implementation method for the above instructions can be found in [reference needed]. Figures 1 to 3 The descriptions of the relevant steps in the corresponding embodiments are not repeated here.

[0087] Furthermore, if the modules / units integrated in the electronic device 1 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium may include: any entity or system capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, or a read-only memory (ROM).

[0088] This invention also provides a computer-readable storage medium storing a computer program. When executed by a processor of an electronic device, the computer program can: receive a recycling instruction; determine an infusion bottle recycling environment based on the recycling instruction, wherein the infusion bottle recycling environment includes an initial infusion bottle set and an infusion bottle recycling unit; wherein the initial infusion bottle set includes multiple initial infusion bottles, and the infusion bottle recycling unit includes an infusion bottle sorting unit and an infusion bottle cleaning unit; filter the initial infusion bottle set using the infusion bottle sorting unit to obtain multiple first infusion bottle sets, wherein each first infusion bottle set includes multiple first infusion bottles labeled with the name of a target drug; perform the following operation on each of the multiple first infusion bottle sets: perform the following operation on each of the first infusion bottles in the first infusion bottle set: perform a cleaning operation on the first infusion bottle using the infusion bottle cleaning unit. After obtaining the cleaned infusion bottle and confirming it as a preset clean infusion bottle, the cleaned infusion bottle is then confirmed as a preset recycled infusion bottle. The residual drug concentration is obtained based on the target drug name and the recycled infusion bottle, and compared with a preset residual concentration threshold. If the residual drug concentration is greater than or equal to the residual concentration threshold, the recycled infusion bottle is selected as the first infusion bottle, and the process returns to the step of performing a cleaning operation on the first infusion bottle using the infusion bottle cleaning unit. The number of cleaning operations performed on the first infusion bottle is counted to obtain the cleaning count. When the cleaning count reaches a preset threshold and the residual drug concentration is greater than or equal to the residual concentration threshold, the recycled infusion bottle is discarded; otherwise, the recycled infusion bottle is retained. The retained recycled infusion bottles are summarized to obtain an initial recycled infusion bottle set. Based on the initial recycled infusion bottle set, one or more target recycled infusion bottle sets are obtained to realize the recycling of the initial infusion bottles.

[0089] In the embodiments provided by this invention, it should be understood that the disclosed devices, systems, and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative, and actual implementations may have other classification methods.

[0090] The modules described as separate components may or may not be physically separate. The components shown as modules 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 modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0091] Furthermore, the functional modules in the various embodiments of the present invention 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 in the form of hardware plus software functional modules.

[0092] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0093] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for recycling waste medical polypropylene polymer infusion bottles, characterized in that, The method includes: Receive a recycling instruction and confirm the infusion bottle recycling environment based on the recycling instruction. The infusion bottle recycling environment includes an initial infusion bottle set and an infusion bottle recycling unit. The initial infusion bottle set includes multiple initial infusion bottles, and the infusion bottle recycling unit includes an infusion bottle sorting unit and an infusion bottle cleaning unit. The initial infusion bottle set is filtered using the infusion bottle classification unit to obtain multiple first infusion bottle sets, wherein each first infusion bottle set includes multiple first infusion bottles labeled with the name of the target drug. For each of the multiple sets of first infusion bottles, perform the following operation: Perform the following operation on each of the first infusion bottles in the first infusion bottle set: The first infusion bottle is cleaned using the infusion bottle cleaning unit to obtain a cleaned infusion bottle. After confirming that the cleaned infusion bottle is a preset clean infusion bottle, it is confirmed that the cleaned infusion bottle is a preset recycled infusion bottle. The residual drug concentration is obtained based on the target drug name and the recycled infusion bottle, and the residual drug concentration is compared with a preset residual concentration threshold. The step of confirming that the clean infusion bottle is a pre-set recycled infusion bottle includes: Based on the clean infusion bottle, a clean infusion image is obtained, and based on a preset aging threshold and a region growing algorithm, an aging region image is extracted from the clean infusion image. The aging gray value set is identified using the aging region image. The aging gray value set includes multiple aging gray values. The aging gray values ​​in the aging gray value set are clustered based on a pre-built clustering algorithm to obtain a gray value cluster set. The gray value cluster set includes one or more gray value clusters, and each gray value cluster includes multiple aging gray values. Perform the following operation on each gray-level cluster in the gray-level cluster set: The average aging gray value is obtained by using multiple aging gray values ​​corresponding to the gray cluster group, where the average aging gray value is the average of multiple aging gray values. The average grayscale values ​​of aging are summarized to obtain an average grayscale value set of aging, and a grayscale aging database for evaluating clean infusion bottles is obtained. The grayscale aging database includes multiple grayscale weight nodes, and the grayscale weight nodes include the retrieval of grayscale values ​​and grayscale weight values. The following operations are performed on the average gray values ​​of the aging gray values ​​in the set: The target weight node is retrieved from the grayscale aging database using the average grayscale value of the aging process. The Euclidean distance between the retrieved grayscale value and the average grayscale value of the aging process is minimized for the target weight node. Compare the Euclidean distance with a preset distance threshold; If the Euclidean distance is greater than or equal to the distance threshold, the clean infusion bottle is rejected; otherwise, the clean infusion bottle is confirmed as the recycled infusion bottle. If the residual drug concentration is greater than or equal to the residual concentration threshold, then the recovered infusion bottle is taken as the first infusion bottle, and the step of performing the cleaning operation on the first infusion bottle using the infusion bottle cleaning unit is returned. The number of times the cleaning operation is performed on the first infusion bottle is counted to obtain the number of cleaning operations. If the number of cleaning cycles reaches a preset threshold and the residual drug concentration is greater than or equal to the residual concentration threshold, the recycled infusion bottle is discarded; otherwise, the recycled infusion bottle is retained. The retained recycled infusion bottles are then aggregated to obtain an initial set of recycled infusion bottles. Based on the initial set of recycled infusion bottles, one or more target sets of recycled infusion bottles are obtained to achieve the recycling of the initial infusion bottles.

2. The method for recycling waste medical polypropylene polymer infusion bottles as described in claim 1, characterized in that, The initial infusion bottle set is filtered using the infusion bottle classification unit to obtain multiple first infusion bottle sets, including: Initial infusion bottles are sequentially extracted from the initial infusion bottle set, and the following operations are performed on the extracted initial infusion bottles: Obtain the label image of the initial infusion bottle, identify the label image using the infusion bottle classification unit, obtain the name of the stored drug, and obtain a classification database for classifying the stored drugs, wherein the classification database stores multiple categories of drug names; Extract the names of categorized drugs sequentially from the categorized database, and perform the following operations on the extracted names of categorized drugs: Name similarity is obtained based on the stored drug names and categorized drug names, and the name similarity is summarized to obtain a name similarity set; The target drug name is identified in the name similarity set. The extracted initial infusion bottle is then labeled based on the target drug name to obtain the labeled infusion bottle. The target drug name is the category drug name corresponding to the highest name similarity in the name similarity set. The recycling status of the target drug name is identified. After confirming that the recycling status is a preset recyclable status, the identified infusion bottles are summarized according to the target drug name corresponding to the identified infusion bottle to obtain multiple first infusion bottle sets.

3. The method according to claim 2, wherein the waste medical polypropylene polymer material infusion bottle is a bottle for transfusion of blood or blood products. The confirmation that the infusion bottle is a preset clean infusion bottle includes: Identify the region of the label image in the initial infusion bottle to obtain the label region; The label area is identified in the cleaned infusion bottle to obtain the detection area. A detection image is obtained based on the detection area. A reference image set is obtained to determine whether there is residual adhesive in the detection area. The reference image set includes multiple reference images. Perform a grayscale conversion operation on the detected image to obtain a grayscale detection image. Obtain a reference grayscale image set based on the reference image set. The reference grayscale image set includes multiple reference grayscale images, and each reference grayscale image corresponds to a reference image. For each reference grayscale image in the reference grayscale image set, perform the following operation: Using a preset grayscale threshold and a pre-constructed region growing algorithm, a set of classified grayscale images is identified in a reference grayscale image, wherein the set of classified grayscale images includes one or more classified grayscale images. The grayscale image sets are aggregated to obtain multiple grayscale image sets. Based on the multiple grayscale image sets and the grayscale detection images, the cleaned infusion bottle is confirmed to be the cleaned infusion bottle.

4. The method for recycling waste medical polypropylene polymer infusion bottles as described in claim 3, characterized in that, The step of confirming that the cleaned infusion bottle is the cleaned infusion bottle based on multiple classification grayscale image sets and grayscale detection images includes: A reference grayscale mean is obtained using a reference grayscale image corresponding to a set of classified grayscale images. The reference grayscale mean is the mean of multiple reference grayscale values ​​in the reference grayscale image. The reference grayscale mean is then summarized to obtain a set of reference grayscale mean values. The reference grayscale mean values ​​in the set of reference grayscale mean values ​​correspond one-to-one with the set of classified grayscale images in the multiple sets of classified grayscale images. For each of the multiple categorized grayscale image sets, perform the following operation: The mean value of grayscale images is obtained based on the classified grayscale image set, and the calculation formula is as follows: in, This represents the mean value of a grayscale image. Represents the first grayscale image in one or more categories. A categorized grayscale image, This indicates that one or more grayscale images of different categories share a common feature. indivual, Represents the first grayscale image in the classification. The grayscale value corresponding to each pixel. Indicates the first There are a total of [number] grayscale images in the classification. 1 pixel; By summing the grayscale image mean values, a grayscale image mean set is obtained. Based on the reference grayscale mean set and the grayscale image mean set, a reference grayscale threshold is calculated using the following formula: in, Indicates the reference grayscale threshold. These represent the first and second reference gray-scale mean values ​​in the set. The first reference grayscale mean and the first A reference grayscale mean value This indicates that the reference grayscale mean set has a total of A reference grayscale mean value This indicates the preset parameters. Represents the first value in the grayscale image mean set. Each grayscale image has a mean value, and the mean value of each grayscale image corresponds one-to-one with the mean value of a reference grayscale image. The reference grayscale threshold and grayscale detection image are used to confirm that the cleaned infusion bottle is the cleaned infusion bottle.

5. The method for recycling waste medical polypropylene polymer infusion bottles as described in claim 4, characterized in that, The step of confirming that the cleaned infusion bottle is the cleaned infusion bottle using the reference grayscale threshold and grayscale detection image includes: Using the reference grayscale threshold and the region growing algorithm, R residual gel images are extracted from the grayscale detection image, where R is an integer greater than or equal to 0; For each of the R residual colloid images, perform the following operation: The residual gel area is obtained based on the residual gel image. The residual gel areas are summarized to obtain a residual gel area set. If there is at least one residual gel area in the residual gel area set that is greater than or equal to a preset residual area threshold, then the contour image set of the infusion bottle is obtained. The contour image set includes one or more contour images. Contour images are extracted sequentially from the contour image set, and the following operations are performed on the extracted contour images: A standard image is obtained based on the extracted contour image. Both the contour image and the standard image are mapped to a pre-constructed image coordinate system to obtain a mapped coordinate set, wherein the mapped coordinate set includes multiple mapped coordinates. The number of pixels with a value of 1 corresponding to each mapped coordinate in the mapped coordinate set is counted to obtain the statistical count; The residual ratio is calculated based on the aforementioned statistical data, using the following formula: wherein, represents the residual proportion, represents the statistical number, represents the number of mapping coordinates; The residual ratios are summarized to obtain a residual ratio set, and the cleaned infusion bottle is confirmed as the clean infusion bottle based on the residual ratio set.

6. The method for recycling waste medical polypropylene polymer infusion bottles as described in claim 5, characterized in that, The step of confirming that the cleaned infusion bottle is the cleaned infusion bottle based on the residual ratio set includes: If there is a residual ratio greater than or equal to a preset ratio threshold in the residual ratio cluster, then the infusion bottle to be cleaned is taken as the first infusion bottle, and the step of performing the cleaning operation on the first infusion bottle using the infusion bottle cleaning unit is returned, and the number of times the cleaning operation is performed on the first infusion bottle is counted to obtain the number of cleaning operations; Once it is confirmed that the number of cleaning cycles is less than the preset cleaning threshold and the residual proportions in the residual proportion set are all less than the proportion threshold, the cleaned infusion bottle is confirmed as the clean infusion bottle.

7. The method of claim 6, wherein the waste medical polypropylene polymer material infusion bottle is a polypropylene polymer material infusion bottle. The process of obtaining one or more target sets of recycled infusion bottles based on the initial set of recycled infusion bottles includes: ​ The following operations are performed on all recovered infusion bottles in the initial collection: The number of aged gray values ​​in each gray-scale cluster group is counted to obtain a cluster quantity set. The cluster quantity set includes one or more cluster quantities, and the cluster quantities correspond one-to-one with the gray-scale cluster groups. The comprehensive evaluation value is calculated based on the cluster quantities in the cluster quantity set and the gray-scale weight values ​​corresponding to the cluster quantities. The comprehensive evaluation values ​​are summarized to obtain a comprehensive evaluation value set. The clustering algorithm is used to cluster the comprehensive evaluation value set into one or more target evaluation value sets. Based on the one or more target evaluation value sets, one or more target recycled infusion bottle sets are identified, wherein the target evaluation value set corresponds one-to-one with the target recycled infusion bottle set.

8. The method for recycling waste medical polypropylene polymer infusion bottles as described in claim 7, characterized in that, The comprehensive evaluation value is calculated based on the number of clusters and the corresponding grayscale weight values, using the following formula: in, This represents the comprehensive evaluation value. Indicates the number of clusters in the set of clusters. Number of clusters, Indicates the first The grayscale weight value corresponding to the number of clusters. Indicates the number of clusters in a set of clusters. Number of clusters.

9. A recycling system of waste medical polypropylene polymer material infusion bottle, characterized in that, The system includes: The recycling environment confirmation module is used to receive recycling instructions and confirm the recycling environment of infusion bottles based on the recycling instructions. The infusion bottle recycling environment includes an initial infusion bottle set and an infusion bottle recycling unit. The initial infusion bottle set includes multiple initial infusion bottles, and the infusion bottle recycling unit includes an infusion bottle sorting unit and an infusion bottle cleaning unit. An infusion bottle initial classification module is used to filter the initial infusion bottle set using the infusion bottle classification unit to obtain multiple first infusion bottle sets, wherein the first infusion bottle set includes multiple first infusion bottles identified with the name of the target drug; The infusion bottle recovery confirmation module is used to perform the following operations on each of the multiple first infusion bottle sets: Perform the following operation on each of the first infusion bottles in the first infusion bottle set: The first infusion bottle is cleaned using the infusion bottle cleaning unit to obtain a cleaned infusion bottle. After confirming that the cleaned infusion bottle is a preset clean infusion bottle, it is confirmed that the cleaned infusion bottle is a preset recycled infusion bottle. The residual drug concentration is obtained based on the target drug name and the recycled infusion bottle, and the residual drug concentration is compared with a preset residual concentration threshold. The step of confirming that the clean infusion bottle is a pre-set recycled infusion bottle includes: Based on the clean infusion bottle, a clean infusion image is obtained, and based on a preset aging threshold and a region growing algorithm, an aging region image is extracted from the clean infusion image. The aging gray value set is identified using the aging region image. The aging gray value set includes multiple aging gray values. The aging gray values ​​in the aging gray value set are clustered based on a pre-built clustering algorithm to obtain a gray value cluster set. The gray value cluster set includes one or more gray value clusters, and each gray value cluster includes multiple aging gray values. Perform the following operation on each gray-level cluster in the gray-level cluster set: The average aging gray value is obtained by using multiple aging gray values ​​corresponding to the gray cluster group, where the average aging gray value is the average of multiple aging gray values. The average grayscale values ​​of aging are summarized to obtain an average grayscale value set of aging, and a grayscale aging database for evaluating clean infusion bottles is obtained. The grayscale aging database includes multiple grayscale weight nodes, and the grayscale weight nodes include the retrieval of grayscale values ​​and grayscale weight values. The following operations are performed on the average gray values ​​of the aging gray values ​​in the set: The target weight node is retrieved from the grayscale aging database using the average grayscale value of the aging process. The Euclidean distance between the retrieved grayscale value and the average grayscale value of the aging process is minimized for the target weight node. Compare the Euclidean distance with a preset distance threshold; If the Euclidean distance is greater than or equal to the distance threshold, the clean infusion bottle is rejected; otherwise, the clean infusion bottle is confirmed as the recycled infusion bottle. If the residual drug concentration is greater than or equal to the residual concentration threshold, then the recovered infusion bottle is taken as the first infusion bottle, and the step of performing the cleaning operation on the first infusion bottle using the infusion bottle cleaning unit is returned. The number of times the cleaning operation is performed on the first infusion bottle is counted to obtain the number of cleaning operations. If the number of cleaning cycles reaches a preset threshold and the residual drug concentration is greater than or equal to the residual concentration threshold, the recycled infusion bottle is discarded; otherwise, the recycled infusion bottle is retained. The retained recycled infusion bottles are then aggregated to obtain an initial set of recycled infusion bottles. The infusion bottle classification module is used to obtain one or more target infusion bottle sets for recycling based on the initial set of recycled infusion bottles, thereby realizing the recycling of the initial infusion bottles.

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