Quantitative evaluation method for recycled plastic particle impurities

Abstract

The invention discloses a quantitative evaluation method for recycled plastic particle impurities, and relates to the technical field of recycled plastics, and the quantitative evaluation method comprises the following steps: step 1, obtaining related data of the recycled plastics, step 2, screening by using a recycled plastic detection method, step 3, detecting the recycled plastics, step 4, quantitatively analyzing the recycled plastics, and step 5, displaying and processing. According to the method, the first detection confidence coefficient and the second detection confidence coefficient of the batch of regenerated plastic particles are judged according to the characteristic parameters of the raw material source of the regenerated plastic particles and the characteristic parameters of the processing process, so that the method for detecting the impurities of the regenerated plastic particles is screened, and the suitability of the method for detecting the impurities of the regenerated plastic particles is guaranteed; and furthermore, the detection efficiency of the recycled plastic particle impurities is improved, data support is provided for targeted adjustment and optimization in the subsequent production process, and the quality standard of recycled plastic products is improved.

Description

Technical Field

[0001] The 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 continuous growth of global plastic consumption, environmental pollution problems are becoming increasingly serious, especially the problem of plastic waste disposal. In this context, the recycled plastic industry is gradually becoming an important part of the circular economy. The key to determining the quality of recycled plastics lies in the control of their impurity content, which directly affects whether recycled plastics can be widely used in various products, as well as the safety and reliability of these products. However, recycled plastics will inevitably be mixed with various impurities during production and use. These impurities not only affect the quality of recycled plastics, but may also have an adverse effect on subsequent processing and use. Therefore, it is extremely necessary to quantitatively evaluate the impurities in recycled plastic particles.

[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 sampling, screening, submersion experiment, drying and weighing, selection and classification and other steps. Floating materials and sinking materials are obtained through submersion experiments. 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, improve transaction efficiency and fairness, and obtain materials of unified standards through fair and scientific analysis and evaluation of the product performance and market value of recycled transparent polypropylene plastic flakes, which has 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 announcement number: CN114764099A, discloses an evaluation system for evaluating the quality of recycled plastics from multiple angles. The invention includes identification of recycled plastic categories and evaluation of recycled plastic quality, wherein the evaluation of recycled plastic quality includes appearance evaluation, mechanical property evaluation and chemical property evaluation. The evaluation system for evaluating the quality of recycled plastics from multiple angles proposed by the present invention uses a progressive model to evaluate and analyze the appearance evaluation, mechanical property evaluation and chemical property evaluation, and issues a report on the quality evaluation of each part, so as to evaluate the quality of recycled plastics in a more targeted manner, clarify the market positioning for the sales and utilization of recycled plastics, and is conducive to promoting the development of the recycled plastics industry and realizing 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 prior art, which are specifically reflected in the following aspects: there are few characteristic parameters for the source of raw materials of recycled plastic particles in the prior art, 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 source of raw materials of recycled plastic particles and impurities that are easily mixed in the processing reflect the source of impurities of recycled plastic particles to a certain extent, which facilitates the selection of appropriate impurity detection methods. The neglect of this aspect in the prior art makes it difficult to ensure the suitability of the detection method of 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 quantitative evaluation method for impurities in recycled plastic particles, which solves the problems existing in the background technology.

[0007] 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 a recycled plastic 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 are 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, primary risk assessment coefficient and secondary 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 firstly judges the first detection confidence and the second detection confidence of the batch of recycled plastic particles according to the relevant data of the batch of recycled plastic particles and the characteristic parameters of the raw material source and the characteristic parameters of 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 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 the subsequent production process, and improving the quality standard of recycled plastic products.

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

[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, so as to 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 drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

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

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work 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 plastic 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 include 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 current batch of recycled plastic particles in step one, 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 as follows: 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 recycling and the monitoring video of each processing flow in the physical characteristic data are extracted from the relevant data of the current batch of recycled plastics, and based on the monitoring video of raw material recycling of the current batch of recycled plastics, each plastic type and each related waste type of the raw material recycling of the current batch of recycled plastic particles is obtained.

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

[0030] It should be noted that the various related waste types 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 type of plastic and each type of waste from the database, and select the characteristic constraint parameters of each type of plastic for recycling the raw materials of this batch of recycled plastic particles. and the characteristic constraint parameters for each associated waste type , is the number of each plastic type, , is any integer greater than 2, is the number of each associated waste 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, and the characteristic constraint parameters corresponding to each waste type are specifically reflected in the evaluation value of each associated waste type that is prone to produce physical impurities.

[0035] The first test confidence of this batch of recycled plastic particles is analyzed, and 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 specifically 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 in the chemical feature data 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 various additives include plasticizers, stabilizers, colorants and other additives added during the raw material production process to improve performance, and the various 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 raw material recycling of this batch of recycled plastic particles, the oil pollution area of ​​the raw material recycling 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] The second detection confidence of this batch of recycled plastic particles is analyzed, and 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 allowed usage content of 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 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, and the specific analysis method is as follows: 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 analyzed .

[0044] Evaluate the storage environment constraints for this batch of recycled plastic pellets ,in It is expressed as the gas pollution risk coefficient of this batch of recycled plastic particles, , , They are respectively represented by 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 influencing 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 according to the relevant data of the batch of recycled plastic particles, first according to the characteristic parameters of the raw material source of the recycled plastic particles and the characteristic parameters of the processing process, 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 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 the subsequent production process, and improving the quality standard 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 are 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 of the batch of recycled plastic particles. The specific method is: if the appropriate detection method of the batch of recycled plastic particles is physical impurity detection, the following detection is performed: 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.

[0051] It should be noted that the content ratio of various types of physical impurities in each physical test particle of this batch of recycled plastic particles is specifically the area ratio.

[0052] If the appropriate test method for this batch of recycled plastic particles is chemical impurity testing, the following tests are 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.

[0053] 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.

[0054] 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 ratio 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.

[0055] In step three, the present invention detects the batch of recycled plastic particles 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.

[0056] 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.

[0057] 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 mapped to obtain the content ratio of each physical detection particle, and the average is processed 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.

[0058] 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.

[0059] 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 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, and consistent with the above-mentioned analysis method, the additive content ratio subset and the organic pollutant content ratio subset of this batch of recycled plastic particles are analyzed to obtain.

[0060] 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 each type of heavy metal of each chemical detection particle, the content of each type of additives and the content of each type of organic pollutant, then a subset of impurity content ratios, 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 summarized.

[0061] In a specific embodiment of the present invention, the specific analysis method of the first-level risk assessment coefficient of the present batch of recycled plastic particles is as follows: according to the impurity content ratio set of the present 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 the present batch of recycled plastic particles are counted; the number of risky physical impurities in the present 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 the present batch of recycled plastic particles.

[0062] In a specific embodiment of the present invention, the secondary risk assessment coefficient of the present batch of recycled plastic particles is specifically analyzed by: according to the impurity content ratio set of the present batch of recycled plastic particles, a subset of heavy metal impurity content ratio, a subset of additive content ratio and a subset of organic pollutant content ratio 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 count the number of risky heavy metals , the number of risky additives and the number of risky organic pollutants , the total amount of bound heavy metals , the total amount of additives and the total amount of organic pollutants .

[0063] It should be noted that the specific analysis method for counting the number of risky heavy metals is as follows: compare 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 risky heavy metal, and then various types of risky heavy metals are obtained, and the number of risky heavy metals is counted. In accordance with the above method, the number of risky additives and the number of risky organic pollutants are analyzed.

[0064] Analyze the secondary risk assessment coefficient of this batch of recycled plastic particles .

[0065] In step 4, the present invention analyzes the impurity content ratio set of the batch of recycled plastic particles according to the impurity data of the batch of recycled plastic particles, and performs quantitative analysis on the batch of recycled plastic particles, which can timely discover and control the impurity content of the recycled plastic particles and ensure the safe use of plastic-related products.

[0066] Step 5: Display processing: Display the impurity quantity ratio set, primary risk assessment coefficient and secondary risk assessment coefficient of this batch of recycled plastic particles.

[0067] 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 specific embodiments described 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 shall all fall within the protection scope of the present invention.

Claims

1. A quantitative evaluation method for impurities in recycled plastic particles, characterized in that: include: Step 1: Obtaining relevant data on recycled plastics: Obtain relevant data on this batch of recycled plastic particles from the Recycled Plastics Management Center, where the relevant data includes physical characteristic data 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; Step 3: Recycled plastic testing: According to the appropriate testing method for this batch of recycled plastic particles, the impurity data of this batch of recycled plastic particles are detected; 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, primary risk assessment coefficient and secondary risk assessment coefficient of this batch of recycled plastic particles.

2. The quantitative evaluation method of impurities in recycled plastic particles according to claim 1, characterized in that: The physical characteristic data includes monitoring videos of raw material recovery and monitoring videos of various processing procedures; The chemical characteristic data include 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 quantitative evaluation method of impurities in recycled plastic particles according to claim 2, characterized in that: The specific analysis method for determining the appropriate detection method for this batch of recycled plastic particles is as follows: According to the relevant data of this batch of recycled plastic particles, the first detection confidence level of this batch of recycled plastic particles and the second detection confidence level of this batch of recycled plastic particles are evaluated; If the first detection confidence of the current batch of recycled plastic particles is greater than or equal to the predefined first detection confidence threshold, and the second detection confidence of the current batch of recycled plastic particles is less than the predefined second detection confidence threshold, it is determined that the appropriate detection method for the current batch of recycled plastic particles is physical impurity detection; If the first detection confidence of the current batch of recycled plastic particles is less than the predefined first detection confidence threshold, and the second detection confidence of the current 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 the current batch of recycled plastic particles is chemical impurity detection; 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.

4. A quantitative evaluation method for impurities in recycled plastic particles according to claim 3, characterized in that: The specific analysis method of the first detection confidence of this batch of recycled plastic particles is as follows: Extract the monitoring video of raw material recycling and the monitoring video of each processing flow in the physical feature data from the relevant data of this batch of recycled plastics, and obtain the various plastic types and various related waste types of the raw material recycling of this batch of recycled plastic particles based on the monitoring video of 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 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; Obtain the characteristic constraint parameters corresponding to each type of plastic and each type of waste from the database, and select the characteristic constraint parameters of each type of plastic for recycling the raw materials of this batch of recycled plastic particles. and the characteristic constraint parameters for each associated waste type , is the number of each plastic type, , is any integer greater than 2, is the number of each associated waste type, , is any integer greater than 2; The first test confidence of this batch of recycled plastic particles is analyzed, and the specific calculation formula is: , The allowed area of ​​metal particles stored in the database.

5. The quantitative evaluation method of impurities in recycled plastic particles according to claim 3, characterized in that: The specific analysis method of the second detection confidence of this batch of recycled plastic particles is as follows: From the relevant data of this batch of recycled plastic particles, 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 are extracted from the chemical characteristic data, among which 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; According to the monitoring video of the raw material recycling of this batch of recycled plastic particles, the oil pollution area of ​​the raw material recycling 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 ; 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 ; 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 allowed usage content of the h-th treatment agent stored in the database.

6. A quantitative evaluation method for impurities in recycled plastic particles according to claim 5, characterized in that: The specific analysis method for evaluating the storage environment constraint parameters of this batch of recycled plastic particles is as follows: The average storage temperature of the raw materials of this batch of recycled plastic particles is compared 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 temperature constraint value of the raw materials of this batch of recycled plastic particles is recorded as A, otherwise, it is recorded as A', and the temperature constraint value of the raw materials of this batch of recycled plastic particles is obtained. ,in The value of is A or A', where A>A'; Similarly, the raw material humidity constraint value of this batch of recycled plastic particles is obtained by analysis ; Evaluate the storage environment constraints for this batch of recycled plastic pellets ,in It is expressed as the gas pollution risk coefficient of this batch of recycled plastic particles, , , They are respectively represented by the impact weight factors corresponding to the temperature and humidity constraint values, environmental deviation, and gas pollution risks stored in the database.

7. 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 test method for this batch of recycled plastic particles is physical impurities testing, the following tests are performed: A number of recycled plastic particles are randomly selected from the recycled plastic particles produced in this batch, recorded as a number of physical detection particles, and image scanning is performed to obtain a three-dimensional image of the number of physical detection 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 detection particle; If the appropriate test method for this batch of recycled plastic particles is chemical impurity testing, the following tests are 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 detection particles, and the contents of various heavy metals, various additives and various organic pollutants are obtained through chemical detection 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 detection 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 ratio 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.

8. A quantitative evaluation method for impurities in recycled plastic particles according to claim 7, 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 this batch of recycled plastic particles in each physical test particle is mapped, and the average is processed 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 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; 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.

9. A quantitative evaluation method for impurities in recycled plastic particles according to claim 8, characterized in that: 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. 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.

10. The method for quantitatively evaluating impurities in recycled plastic particles according to claim 8, characterized in that: The specific analysis method of 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 count the number of risky heavy metals , the number of risky additives and the number of risky organic pollutants , the total amount of bound heavy metals , the total amount of additives and the total amount of organic pollutants ; Analyze the secondary risk assessment coefficient of this batch of recycled plastic particles .

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