A quantitative evaluation method for impurities in recycled plastic particles

Abstract

The invention discloses a quantitative evaluation method for impurities in recycled plastic particles, and relates to the technical field of recycled plastics. The invention comprises: step one, acquiring relevant data of recycled plastics, step two, screening a detection method for recycled plastics, step three, detecting recycled plastics, step four, quantitatively analyzing recycled plastics, and step five, display processing. The invention firstly judges a first detection confidence and a second detection confidence of a batch of recycled plastic particles based on characteristic parameters of a raw material source and characteristic parameters of a processing process of the recycled plastic particles, thereby screening a detection method for impurities in the recycled plastic particles, ensuring the suitability of the detection method for impurities in the recycled plastic particles, and further improving the detection efficiency of impurities in the recycled plastic particles, providing data support for targeted adjustment and optimization in subsequent production processes, and improving the quality standard of recycled plastic products.

Description

Technical Field

[0001] The present invention relates to the technical field of recycled plastics, and in particular to a quantitative evaluation method for impurities in recycled plastic particles. Background Art

[0002] With the continued growth of global plastic consumption, environmental pollution is becoming increasingly serious, particularly the issue of plastic waste disposal. Against this backdrop, the recycled plastics industry is gradually becoming a vital component of the circular economy. The key to the quality of recycled plastics lies in controlling their impurity content, which directly impacts their widespread use in various products, as well as the safety and reliability of these products. However, during the production and use of recycled plastics, various impurities inevitably enter the material. These impurities not only affect the quality of the recycled plastic but may also adversely affect subsequent processing and use. Therefore, quantitative evaluation of impurities in recycled plastic particles is extremely necessary.

[0003] Prior art, such as the invention patent application with announcement number CN115436213A, discloses a quality analysis method for recycled transparent polypropylene plastic flakes and its application. The invention provides a simple, convenient, fair, comprehensive and accurate quality analysis method for recycled transparent polypropylene plastic flakes by designing steps such as sampling, screening, submersion test, drying and weighing, and selection and classification. Floating materials and sinking materials are obtained through submersion tests. After screening the floating materials, they are classified and selected by relevant technical personnel with similar levels to evaluate the quality of recycled transparent polypropylene plastic flakes produced by different manufacturers, thereby improving transaction efficiency and fairness. By conducting fair and scientific analysis and evaluation of the product performance and market value of recycled transparent polypropylene plastic flakes, materials of unified standards are obtained, which have a good effect on subsequent production and processing. It can not only provide a fair and reasonable evaluation and inspection for raw material manufacturers, but also ensure the stability of feed in subsequent production.

[0004] Prior art, such as the invention patent application with publication number CN114764099A, discloses a multi-faceted evaluation system for recycled plastic quality. This system includes both recycled plastic category identification and recycled plastic quality evaluation, including appearance, mechanical, and chemical performance evaluations. The system proposed in this invention utilizes a progressive approach to evaluate and analyze appearance, mechanical, and chemical performance, providing reports for each component. This allows for a more targeted assessment of recycled plastic quality, clarifies market positioning for the sale and utilization of recycled plastics, and promotes the development of the recycled plastics industry and the recycling of recycled plastic resources.

[0005] In combination with the above scheme, it can be found that there are still deficiencies in the quantitative evaluation of impurities in recycled plastic particles in the existing technology, which are specifically reflected in the following aspects: There are few characteristic parameters for the raw material sources of recycled plastic particles in the existing technology, such as plastic type and related waste type. At the same time, there is not much attention paid to impurities that are easily mixed in the processing of recycled plastic particles. The raw material sources of recycled plastic particles and the impurities that are easily mixed in the processing reflect the impurity sources of recycled plastic particles to a certain extent, which facilitates the selection of appropriate impurity detection methods. The neglect of this level in the existing technology makes it difficult to ensure the suitability of the detection method for impurities in recycled plastic particles, thereby reducing the detection efficiency of impurities in recycled plastic particles, and it is difficult to provide data support for targeted adjustments and optimizations in subsequent production processes, thereby reducing the quality standards of recycled plastic products. Summary of the Invention

[0006] The purpose of the present invention is to provide a method for quantitatively evaluating impurities in recycled plastic particles, which solves the problems existing in the background technology.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solution: The present invention provides a quantitative evaluation method for impurities in recycled plastic particles, including: Step 1, obtaining relevant data of recycled plastics: obtaining relevant data of this batch of recycled plastic particles from the recycled plastics management center, wherein the relevant data includes physical characteristic data and chemical characteristic data.

[0008] Step 2: Screening of detection methods for recycled plastics: Determine the appropriate detection method for this batch of recycled plastic particles based on the relevant data of this batch of recycled plastic particles.

[0009] Step 3: Recycled plastic testing: Based on the appropriate testing method for this batch of recycled plastic particles, the impurity data of this batch of recycled plastic particles is detected.

[0010] Step 4. Quantitative analysis of recycled plastics: Based on the impurity data of this batch of recycled plastic particles, analyze the impurity content ratio set of this batch of recycled plastic particles, and evaluate the primary risk assessment coefficient and secondary risk assessment coefficient of this batch of recycled plastic particles.

[0011] Step 5: Display processing: Display the impurity quantity ratio set, the first-level risk assessment coefficient, and the second-level risk assessment coefficient of this batch of recycled plastic particles.

[0012] The beneficial effects of the present invention are: (1) the present invention obtains relevant data of the batch of recycled plastic particles in step 1, thereby providing data support for the subsequent screening of recycled plastic detection methods.

[0013] (2) In step 2, the present invention first evaluates the first detection confidence and the second detection confidence of the batch of recycled plastic particles based on the relevant data of the batch of recycled plastic particles and the characteristic parameters of the raw material source and the processing process of the recycled plastic particles, wherein the first detection confidence corresponds to the physical detection method and the second detection confidence corresponds to the chemical detection method, thereby screening the detection method of the impurities of the recycled plastic particles, ensuring the suitability of the detection method of the impurities of the recycled plastic particles, and further improving the detection efficiency of the impurities of the recycled plastic particles, providing data support for targeted adjustment and optimization in the subsequent production process, and improving the quality standard of the recycled plastic products.

[0014] (3) In step three, the present invention detects the recycled plastic particles of this batch according to the appropriate detection method for this batch of recycled plastic particles, obtains the impurity data of this batch of recycled plastic particles, and thus lays the foundation for the subsequent impurity analysis of this batch of recycled plastic particles.

[0015] (4) In step 4, the present invention analyzes the impurity content ratio set of the recycled plastic particles in this batch based on the impurity data of the recycled plastic particles in this batch, and performs quantitative analysis on the recycled plastic particles in this batch, which can timely detect and control the impurity content of the recycled plastic particles and ensure the safety of the use of plastic-related products. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0017] Figure 1 This is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0019] Reference Figure 1 As shown, the present invention provides a quantitative evaluation method for impurities in recycled plastic particles, including: Step 1, obtaining relevant data of recycled plastics: obtaining relevant data of this batch of recycled plastic particles from a recycled plastics management center, wherein the relevant data includes physical characteristic data and chemical characteristic data.

[0020] In a specific embodiment of the present invention, the physical characteristic data includes monitoring videos of raw material recovery and monitoring videos of various processing procedures.

[0021] The chemical characteristic data includes monitoring videos of raw material recycling, production parameters of raw materials, addition parameters of raw material recycling, and storage environment parameters of raw materials.

[0022] The present invention obtains relevant data of the batch of recycled plastic particles in step 1, thereby providing data support for the subsequent screening of recycled plastic detection methods.

[0023] Step 2: Screening of detection methods for recycled plastics: Determine the appropriate detection method for this batch of recycled plastic particles based on the relevant data of this batch of recycled plastic particles.

[0024] In a specific embodiment of the present invention, the specific analysis method for determining the appropriate detection method for this batch of recycled plastic particles is: based on the relevant data of this batch of recycled plastic particles, the first detection confidence of this batch of recycled plastic particles and the second detection confidence of this batch of recycled plastic particles are judged.

[0025] If the first detection confidence of this batch of recycled plastic particles is greater than or equal to the predefined first detection confidence threshold, and the second detection confidence of this batch of recycled plastic particles is less than the predefined second detection confidence threshold, it is determined that the appropriate detection method for this batch of recycled plastic particles is physical impurity detection.

[0026] If the first detection confidence of this batch of recycled plastic particles is less than the predefined first detection confidence threshold, and the second detection confidence of this batch of recycled plastic particles is greater than or equal to the predefined second detection confidence threshold, it is determined that the appropriate detection method for this batch of recycled plastic particles is chemical impurity detection.

[0027] If the first detection confidence of this batch of recycled plastic particles is greater than or equal to the predefined first detection confidence threshold, and the second detection confidence of this batch of recycled plastic particles is greater than or equal to the predefined second detection confidence threshold, then it is determined that the appropriate detection method for this batch of recycled plastics is physical impurity detection + chemical impurity detection.

[0028] In a specific embodiment of the present invention, the specific analysis method of the first detection confidence of the current batch of recycled plastic particles is as follows: the monitoring video of raw material recovery and the monitoring video of each processing flow in the physical feature data are extracted from the relevant data of the current batch of recycled plastics, and based on the monitoring video of raw material recovery of the current batch of recycled plastics, the various plastic types and related waste types of the raw materials recovered for the current batch of recycled plastic particles are obtained.

[0029] It should be noted that the various types of plastics include waste household appliances, automobile parts, and packaging materials, etc.

[0030] It should be noted that the various types of related waste materials include textiles, glass products, metal products, etc.

[0031] According to the monitoring video of each processing flow of this batch of recycled plastic particles, the area of ​​metal particles involved in each processing flow of the raw materials of this batch of recycled plastic particles is obtained. ,in is the number of each processing process, , is any integer greater than 2.

[0032] It should be noted that the existing technology for obtaining the area of ​​metal particles involved in each processing flow of the raw materials of this batch of recycled plastic particles through image recognition technology is relatively complete and will not be elaborated here.

[0033] Obtain the characteristic constraint parameters corresponding to each plastic type and each waste type from the database, and screen the characteristic constraint parameters of each plastic type for the raw materials of this batch of recycled plastic particles. and the characteristic constraint parameters of each associated waste type , is the number of each plastic type, , is any integer greater than 2, is the number of each associated scrap type, , is any integer greater than 2.

[0034] It should be understood that the characteristic constraint parameters corresponding to each plastic type and the characteristic constraint parameters corresponding to each waste type are set by relevant plastic impurity breeding experts and stored in the database, wherein the characteristic constraint parameters corresponding to each plastic type are specifically reflected in the evaluation value of each plastic type that is prone to produce physical impurities, wherein the characteristic constraint parameters corresponding to each waste type, wherein the characteristic constraint parameters corresponding to each associated waste type are specifically reflected in the evaluation value of each associated waste type that is prone to produce physical impurities.

[0035] Analyze the first detection confidence of this batch of recycled plastic particles. The specific calculation formula is: , The allowed area of ​​metal particles stored in the database.

[0036] In a specific embodiment of the present invention, the second detection confidence of the batch of recycled plastic particles is analyzed by extracting the monitoring video of raw material recycling, the production parameters of raw materials, the addition parameters of raw material recycling, and the storage environment parameters of raw materials from the relevant data of the batch of recycled plastic particles, wherein the production parameters include the usage of each additive. , the added parameters include the amount of each treatment agent used ,in is the number of each additive, , is any integer greater than 2, is the number of each treatment agent, , is any integer greater than 2.

[0037] It should be noted that the auxiliary agents include plasticizers, stabilizers, colorants and other auxiliary agents added during the raw material production process to improve performance, and the treatment agents include cleaning agents, deodorants and other chemical substances that are easy to handle and used during the raw material recovery process.

[0038] According to the monitoring video of the recycling of raw materials of this batch of recycled plastic particles, the oil pollution area of ​​the recycling of raw materials of this batch of recycled plastic particles is obtained. , and obtain the ash content of the raw materials recovered from this batch of recycled plastic particles .

[0039] According to the storage environment parameters of the raw materials of this batch of recycled plastic particles, the average storage temperature of the raw materials of this batch of recycled plastic particles is obtained. , maximum temperature , minimum temperature , Average humidity of raw material storage , maximum humidity , minimum humidity and the content of each pollutant, and evaluate the storage environment constraint parameters of this batch of recycled plastic particles .

[0040] Analyze the second detection confidence of this batch of recycled plastic particles. The specific calculation formula is: , where e is a natural constant, , ,in 、 They are the allowable oil pollution area and allowable ash content of raw material recovery stored in the database. 、 They respectively represent the allowed usage content of the j-th auxiliary agent and the h-th treatment agent stored in the database.

[0041] It should be noted that the allowable oil pollution area, allowable ash content, allowable usage content of each additive, and allowable usage content of each treatment agent for the raw material recovery are set by relevant plastic impurity breeding experts and stored in the database.

[0042] In a specific embodiment of the present invention, the storage environment constraint parameters of the batch of recycled plastic particles are evaluated by a specific analysis method: the average storage temperature of the raw materials of the batch of recycled plastic particles is compared with the raw material chemical impurity breeding temperature range stored in the database. If the average storage temperature of the raw materials of the batch of recycled plastic particles is within the raw material chemical impurity breeding temperature range, the raw material temperature constraint value of the batch of recycled plastic particles is recorded as A, otherwise, it is recorded as A', and the raw material temperature constraint value of the batch of recycled plastic particles is obtained. ,in The value of is A or A', where A>A'.

[0043] Similarly, the raw material humidity constraint value of this batch of recycled plastic particles is obtained by analysis .

[0044] Evaluate the storage environment constraints for this batch of recycled plastic pellets ,in Expressed as the gas pollution risk coefficient of this batch of recycled plastic particles, 、 、 They are respectively represented as the impact weight factors corresponding to the temperature and humidity constraint values, environmental deviation, and gas pollution risks stored in the database.

[0045] It should be noted that the specific analysis method of the gas pollution risk coefficient of this batch of recycled plastic particles is as follows: based on the content of each pollutant stored in the raw materials of this batch of recycled plastic particles, and combined with the reference content of each pollutant stored in the database, the content of each pollutant stored in the raw materials of this batch of recycled plastic particles is divided by the reference content, and then the content ratio of each pollutant stored in the raw materials of this batch of recycled plastic particles is obtained, and the ratio is averaged to obtain the gas pollution risk coefficient of this batch of recycled plastic particles.

[0046] It should be noted that the impact weight factors corresponding to the temperature and humidity constraint values, environmental deviation and gas pollution risk are set by relevant plastic impurity breeding experts and stored in the database.

[0047] It should be understood that, on the one hand, recycled waste plastics stored in a humid environment may absorb soluble pollutants in the water, such as heavy metal ions, organic pollutants, etc.; on the other hand, dust and particulate matter in the air may adhere to the recycled waste plastics and be mixed into the plastic particles during the processing. Therefore, it is necessary to analyze the raw material storage environment of this batch of recycled plastic particles.

[0048] In step 2, the present invention judges the first detection confidence and the second detection confidence of the batch of recycled plastic particles based on the relevant data of the batch of recycled plastic particles and the characteristic parameters of the raw material source and the processing process of the recycled plastic particles. The first detection confidence corresponds to the physical detection method and the second detection confidence corresponds to the chemical detection method, thereby screening the detection method of impurities in the recycled plastic particles, ensuring the suitability of the detection method of impurities in the recycled plastic particles, and further improving the detection efficiency of impurities in the recycled plastic particles, providing data support for targeted adjustment and optimization in subsequent production processes, and improving the quality standards of recycled plastic products.

[0049] Step 3: Recycled plastic testing: Based on the appropriate testing method for this batch of recycled plastic particles, the impurity data of this batch of recycled plastic particles is detected.

[0050] In a specific embodiment of the present invention, the impurity data of the batch of recycled plastic particles is detected according to the appropriate detection method for the batch of recycled plastic particles. The specific method is: if the appropriate detection method for the batch of recycled plastic particles is physical impurity detection, the following detection is performed:

[0051] A number of recycled plastic particles are randomly selected from the recycled plastic particles produced in this batch, recorded as a number of physical inspection particles, and image scanning is performed to obtain a three-dimensional image of the number of physical inspection particles produced in this batch, and then various types of physical impurities are identified. The impurity data of this batch of recycled plastic particles is the content ratio of various types of physical impurities in each physical inspection particle.

[0052] It should be noted that the content ratio of various types of physical impurities in each physical inspection particle of this batch of recycled plastic particles is specifically the area ratio.

[0053] If the appropriate testing method for this batch of recycled plastic pellets is chemical impurity testing, the following tests shall be performed:

[0054] A number of recycled plastic particles are randomly selected from the recycled plastic particles produced in this batch and recorded as a number of chemical test particles. The content of various heavy metals, the content of various additives and the content of various organic pollutants are obtained through chemical testing methods. The impurity data of this batch of recycled plastic particles are the content of various heavy metals, the content of various additives and the content of various organic pollutants in each chemical test particle.

[0055] In a specific embodiment, the contents of various heavy metals are detected by atomic absorption spectroscopy, and the contents of various additives and various organic pollutants are detected by infrared spectroscopy.

[0056] If the appropriate detection method for this batch of recycled plastic particles is physical impurity detection + chemical impurity detection, then the impurity data of this batch of recycled plastic particles are the content ratios of various types of physical impurities in each physical detection particle and the content of various heavy metals, various additives and various organic pollutants in each chemical detection particle.

[0057] In step three of the present invention, the batch of recycled plastic particles is tested according to a suitable detection method for the batch of recycled plastic particles to obtain impurity data of the batch of recycled plastic particles, thereby laying a foundation for subsequent impurity analysis of the batch of recycled plastic particles.

[0058] Step 4. Quantitative analysis of recycled plastics: Based on the impurity data of this batch of recycled plastic particles, analyze the impurity content ratio set of this batch of recycled plastic particles, and evaluate the primary risk assessment coefficient and secondary risk assessment coefficient of this batch of recycled plastic particles.

[0059] In a specific embodiment of the present invention, the analysis of the impurity content ratio set of this batch of recycled plastic particles is carried out by the following specific analysis method: if the impurity data of this batch of recycled plastic particles is the content ratio of various types of physical impurities in each physical detection particle, the content ratio of various types of physical impurities in this batch of recycled plastic particles is obtained by mapping and averaging the content ratios to obtain the overall content ratios of various types of physical impurities in this batch of recycled plastic particles, and the impurity content ratio set of this batch of recycled plastic particles is obtained by summarizing.

[0060] If the impurity data of this batch of recycled plastic particles are the contents of various heavy metals, various additives and various organic pollutants in each chemical test particle, then a subset of heavy metal impurity content ratios, a subset of additive content ratios and a subset of organic pollutant content ratios of this batch of recycled plastic particles are generated, and the impurity content ratio set of this batch of recycled plastic particles is obtained by summarizing.

[0061] It should be noted that the specific method for generating the heavy metal impurity content ratio subset of this batch of recycled plastic particles is as follows: the content of each heavy metal in each chemical detection particle of this batch of recycled plastic particles is divided by the mass of this batch of recycled plastic particles stored in the database to obtain the content ratio of each heavy metal in each chemical detection particle of this batch of recycled plastic particles, and the content ratio of each heavy metal in each chemical detection particle of this batch of recycled plastic particles is mapped to obtain the content ratio of each heavy metal in each chemical detection particle of this batch of recycled plastic particles, which is averaged to obtain the overall content ratio of each heavy metal in this batch of recycled plastic particles, and the heavy metal impurity content ratio subset of this batch of recycled plastic particles is summarized to obtain the additive content ratio subset and the organic pollutant content ratio subset of this batch of recycled plastic particles are obtained by analysis in accordance with the above-mentioned analysis method.

[0062] In combination with the above, if the impurity data of this batch of recycled plastic particles are the content ratios of various types of physical impurities of each physical detection particle, the content of various heavy metals of each chemical detection particle, the content of various additives and the content of various organic pollutants, then the impurity content ratio subset, heavy metal impurity content ratio subset, additive content ratio subset and organic pollutant content ratio subset of this batch of recycled plastic particles are generated, and the impurity content ratio set of this batch of recycled plastic particles is summarized.

[0063] In a specific embodiment of the present invention, the specific analysis method of the first-level risk assessment coefficient of this batch of recycled plastic particles is as follows: according to the impurity content ratio set of this batch of recycled plastic particles, the overall content ratio of various types of physical impurities is extracted, and according to the allowable content ratio of various types of physical impurities stored in the database, each risk physical impurity is screened, and the number of risk physical impurities and the total number of physical impurities in this batch of recycled plastic particles are counted, and the number of risk physical impurities in this batch of recycled plastic particles and the total number of physical impurities are divided by the total number of physical impurities to obtain the first-level risk assessment coefficient of this batch of recycled plastic particles.

[0064] In a specific embodiment of the present invention, the secondary risk assessment coefficient of the batch of recycled plastic particles is specifically analyzed by: extracting a subset of heavy metal impurity content ratios, a subset of additive content ratios, and a subset of organic pollutant content ratios based on the impurity content ratio set of the batch of recycled plastic particles, and obtaining the overall content ratios of various heavy metals, the overall content ratios of various additives, and the overall content ratios of various organic pollutants.

[0065] Combine the allowable content ratios of various heavy metals, various additives and various organic pollutants stored in the database, and calculate the number of risk heavy metals , the number of risk additives and the amount of risky organic pollutants , the total amount of bound heavy metals , the total amount of additives and the total amount of organic pollutants .

[0066] It should be noted that the specific analysis method for statistically analyzing the number of risk heavy metals is as follows: comparing the overall content ratio of various heavy metals in this batch of recycled plastic particles with the allowed content ratio. If the overall content ratio of a certain type of heavy metal is greater than the allowed content ratio, then this type of heavy metal is recorded as a risk heavy metal, and then various types of risk heavy metals are obtained, and the number of risk heavy metals is statistically analyzed. In accordance with the above method, the number of risk additives and the number of risk organic pollutants are analyzed.

[0067] Analyze the secondary risk assessment coefficient of this batch of recycled plastic particles .

[0068] In step 4, the present invention analyzes the impurity content ratio set of the recycled plastic particles in this batch based on the impurity data of the recycled plastic particles in this batch, and performs quantitative analysis on the recycled plastic particles in this batch, which can timely detect and control the impurity content of the recycled plastic particles and ensure the safe use of plastic-related products.

[0069] Step 5: Display processing: Display the impurity quantity ratio set, the first-level risk assessment coefficient, and the second-level risk assessment coefficient of this batch of recycled plastic particles.

[0070] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.

Claims

1. A method for quantitatively evaluating impurities in recycled plastic particles, characterized in that: include: Step 1: Obtaining data related to recycled plastics: Obtain relevant data of this batch of recycled plastic particles from the Recycled Plastics Management Center, including physical and chemical characteristic data; Step 2: Screening of detection methods for recycled plastics: Determine the appropriate detection method for this batch of recycled plastic particles based on the relevant data of this batch of recycled plastic particles; The specific analysis method for determining the appropriate detection method for this batch of recycled plastic particles is as follows: Based on the relevant data of this batch of recycled plastic particles, the first test confidence level and the second test confidence level of this batch of recycled plastic particles are evaluated; If the first detection confidence level of the batch of recycled plastic particles is greater than or equal to the predefined first detection confidence level threshold, and the second detection confidence level of the batch of recycled plastic particles is less than the predefined second detection confidence level threshold, then it is determined that the appropriate detection method for the batch of recycled plastic particles is physical impurity detection; If the first detection confidence level of the batch of recycled plastic particles is less than the predefined first detection confidence level threshold, and the second detection confidence level of the batch of recycled plastic particles is greater than or equal to the predefined second detection confidence level threshold, then it is determined that the appropriate detection method for the batch of recycled plastic particles is chemical impurity detection; If the first detection confidence level of this batch of recycled plastic particles is greater than or equal to the predefined first detection confidence level threshold, and the second detection confidence level of this batch of recycled plastic particles is greater than or equal to the predefined second detection confidence level threshold, then it is determined that the appropriate detection method for this batch of recycled plastics is physical impurity detection + chemical impurity detection; Step 3: Recycled plastic testing: Detect impurity data of this batch of recycled plastic particles using the appropriate testing method for this batch of recycled plastic particles; Step 4: Quantitative analysis of recycled plastics: Based on the impurity data of this batch of recycled plastic particles, analyze the impurity content ratio set of this batch of recycled plastic particles, and evaluate the primary risk assessment coefficient and secondary risk assessment coefficient of this batch of recycled plastic particles; Step 5: Display processing: Display the impurity quantity ratio set, the first-level risk assessment coefficient, and the second-level risk assessment coefficient of this batch of recycled plastic particles.

2. The method for quantitatively evaluating impurities in recycled plastic particles according to claim 1, wherein: The physical characteristic data includes monitoring videos of raw material recovery and each processing flow; The chemical characteristic data includes monitoring videos of raw material recycling, production parameters of raw materials, addition parameters of raw material recycling, and storage environment parameters of raw materials.

3. The method for quantitatively evaluating impurities in recycled plastic particles according to claim 2, wherein: The specific analysis method for the first detection confidence of this batch of recycled plastic particles is as follows: Extracting the monitoring videos of raw material recycling and each processing flow from the physical feature data of the relevant data of this batch of recycled plastics, and obtaining the various plastic types and associated waste types of the raw materials recycled for this batch of recycled plastic particles based on the monitoring videos of the raw material recycling of this batch of recycled plastics; According to the monitoring video of each processing flow of this batch of recycled plastic particles, the area s of metal particles involved in each processing flow of the raw materials of this batch of recycled plastic particles is obtained. p , where p is the number of each processing flow, p = 1, 2, ..., q, q is any integer greater than 2; Obtain the characteristic constraint parameters corresponding to each plastic type and each waste type from the database, and screen the characteristic constraint parameters α of each plastic type for recycling the raw materials of this batch of recycled plastic particles. i and the characteristic constraint parameter β of each associated waste type m , i is the number of each plastic type, i = 1, 2, ..., n, n is an arbitrary integer greater than 2, m is the number of each associated waste type, m = 1, 2, ..., l, l is an arbitrary integer greater than 2; Analyze the first detection confidence of this batch of recycled plastic particles. The specific calculation formula is: s′ is the allowed involved area of ​​metal particles stored in the database.

4. The method for quantitatively evaluating impurities in recycled plastic particles according to claim 2, wherein: The specific analysis method for the second detection confidence of this batch of recycled plastic particles is as follows: Extract the chemical characteristic data from the relevant data of this batch of recycled plastic particles, including the monitoring video of raw material recycling, raw material production parameters, raw material recycling addition parameters, and raw material storage environment parameters. The production parameters include the usage of each additive δ j , the added parameters include the amount of each treatment agent γ h , where j is the number of each auxiliary agent, j = 1, 2, ..., k, k is any integer greater than 2, h is the number of each treatment agent, h = 1, 2, ..., g, g is any integer greater than 2; According to the monitoring video of the raw material recycling of this batch of recycled plastic particles, the oil pollution area ys of the raw material recycling of this batch of recycled plastic particles and the ash content hl of the raw material recycling of this batch of recycled plastic particles are obtained; According to the storage environment parameters of the raw materials of this batch of recycled plastic particles, the average storage temperature W′ and the maximum temperature W of the raw materials of this batch of recycled plastic particles are obtained. _max , minimum temperature W _min , average humidity D' of raw material storage, maximum humidity D _max , minimum humidity D _min and the content of each pollutant, and evaluate the storage environment constraint parameter ε of this batch of recycled plastic particles; Analyze the second detection confidence of this batch of recycled plastic particles. The specific calculation formula is: Where e is a natural constant, Where ys′ and hl′ are the allowable oil pollution area and allowable ash content of raw material recovery stored in the database, respectively, j ′、γ h ' respectively represent the allowed usage content of the jth auxiliary agent and the hth treatment agent stored in the database.

5. The method for quantitatively evaluating impurities in recycled plastic particles according to claim 4, characterized in that: The specific analysis method for evaluating the storage environment constraint parameters of this batch of recycled plastic particles is as follows: Compare the average storage temperature of the raw materials of this batch of recycled plastic particles with the temperature range of chemical impurities in the raw materials stored in the database. If the average storage temperature of the raw materials of this batch of recycled plastic particles is within the temperature range of chemical impurities in the raw materials, the raw material temperature constraint value of this batch of recycled plastic particles is recorded as A. Otherwise, it is recorded as A'. The raw material temperature constraint value χ of this batch of recycled plastic particles is obtained, where χ _0 The value of is A or A', where A>A'; Similarly, the raw material humidity constraint value χ of this batch of recycled plastic particles is obtained by analysis _1 ; Evaluate the storage environment constraints for this batch of recycled plastic pellets Where η represents the gas pollution risk coefficient of this batch of recycled plastic particles, and λ1, λ2, and λ3 represent the impact weight factors corresponding to the temperature and humidity constraint values, environmental deviation, and gas pollution risk stored in the database, respectively.

6. The method for quantitatively evaluating impurities in recycled plastic particles according to claim 1, characterized in that: According to the appropriate detection method for this batch of recycled plastic particles, the impurity data of this batch of recycled plastic particles is detected, and the specific method is: If the appropriate testing method for this batch of recycled plastic pellets is physical impurity testing, the following tests shall be performed: Randomly select a number of recycled plastic particles from the recycled plastic particles produced in this batch, record them as a number of physical test particles, and perform image scanning to obtain a three-dimensional image of the number of physical test particles produced in this batch, and then identify various types of physical impurities. The impurity data of this batch of recycled plastic particles is the content ratio of various types of physical impurities in each physical test particle; If the appropriate testing method for this batch of recycled plastic pellets is chemical impurity testing, the following tests shall be performed: A number of recycled plastic particles are randomly selected from the recycled plastic particles produced in this batch, recorded as a number of chemical test particles, and the contents of various heavy metals, various additives, and various organic pollutants are obtained through chemical testing methods. The impurity data of this batch of recycled plastic particles are the contents of various heavy metals, various additives, and various organic pollutants of each chemical test particle; If the appropriate detection method for this batch of recycled plastic particles is physical impurity detection + chemical impurity detection, then the impurity data of this batch of recycled plastic particles are the content ratios of various types of physical impurities in each physical detection particle and the content of various heavy metals, various additives and various organic pollutants in each chemical detection particle.

7. The method for quantitatively evaluating impurities in recycled plastic particles according to claim 6, characterized in that: The specific analysis method for analyzing the impurity content ratio of this batch of recycled plastic particles is as follows: If the impurity data of this batch of recycled plastic particles is the content ratio of various types of physical impurities in each physical test particle, the content ratio of various types of physical impurities in each physical test particle of this batch of recycled plastic particles is mapped and averaged to obtain the overall content ratio of various types of physical impurities in this batch of recycled plastic particles, and the impurity content ratio set of this batch of recycled plastic particles is obtained by summarizing. If the impurity data of this batch of recycled plastic particles are the contents of various heavy metals, various additives, and various organic pollutants of each chemically tested particle, then a subset of heavy metal impurity content ratios, a subset of additive content ratios, and a subset of organic pollutant content ratios of this batch of recycled plastic particles are generated, and the impurity content ratio set of this batch of recycled plastic particles is obtained by summarizing them; In combination with the above, if the impurity data of this batch of recycled plastic particles are the content ratios of various types of physical impurities in each physical detection particle, the content of various heavy metals in each chemical detection particle, the content of various additives and the content of various organic pollutants, the impurity content ratio set of this batch of recycled plastic particles is summarized.

8. The method for quantitatively evaluating impurities in recycled plastic particles according to claim 7, characterized in that: The specific analysis method for the first-level risk assessment coefficient of this batch of recycled plastic particles is as follows: Based on the impurity content ratio set of this batch of recycled plastic particles, the overall content ratio of various types of physical impurities is extracted. According to the allowable content ratio of various types of physical impurities stored in the database, each risky physical impurity is screened, and the number of risky physical impurities and the total number of physical impurities in this batch of recycled plastic particles are counted. The number of risky physical impurities in this batch of recycled plastic particles is divided by the total number of physical impurities to obtain the first-level risk assessment coefficient of this batch of recycled plastic particles.

9. The method for quantitatively evaluating impurities in recycled plastic particles according to claim 7, wherein: The specific analysis method for the secondary risk assessment coefficient of this batch of recycled plastic particles is as follows: According to the impurity content ratio set of this batch of recycled plastic particles, the heavy metal impurity content ratio subset, the additive content ratio subset and the organic pollutant content ratio subset are extracted, and the overall content ratio of each type of heavy metal, the overall content ratio of each type of additive and the overall content ratio of each type of organic pollutant are obtained. Combine the allowable content ratios of various heavy metals, various additives and various organic pollutants stored in the database, and calculate the number of risk heavy metals M _0 , the number of risk additives M _1 and the number of risky organic pollutants M _2 , the total amount of bound heavy metals M′ _0 , the total number of additives M' _1 and the total amount of organic pollutants M′ _2 ; Analyze the secondary risk assessment coefficient of this batch of recycled plastic particles

Images