Plastic particle quality detection method

Through batch detection and multi-dimensional analysis, combined with spectral technology and thermal stability detection, the instability and insufficient multi-dimensional coverage of plastic particles in the existing technology are solved, and the comprehensive quality evaluation and early warning of plastic particles are achieved Tips to ensure the consistency of quality and environmental performance of the product.

CN119086369AInactive Publication Date: 2024-12-06MIANYANG XINANZI RENEWABLE RESOURCES DEV CO LTD

Patent Information

Application Number
CN202410987015.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-07-23
Publication Date
2024-12-06
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing plastic particle quality detection methods are affected by factors such as image quality, acquisition environment and algorithm settings, and have failed to comprehensively evaluate the comprehensive quality of plastic particles, especially in the coverage of multi-dimensional quality requirements in industrial production.

Method used

Batch quality detection and sampling are used to measure additive content, thermal stability index, structural characteristics and environmental impact parameters through spectral technology, calculate impurity evaluation coefficient, structural characteristics evaluation coefficient and environmental impact evaluation coefficient, and comprehensively analyze the comprehensive quality evaluation index of plastic particles. , provide warning prompts.

Benefits of technology

It ensures the consistency and quality stability of additive standards of plastic products, evaluates the processing stability and environmental protection performance of plastic particles, comprehensively evaluates the quality applicability of plastic particles, and provides a scientific basis for product design and production process optimization.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119086369A_ABST
    Figure CN119086369A_ABST
Patent Text Reader

Abstract

The invention discloses a plastic particle quality detection method, and relates to the technical field of chemical analysis, in the additive content detection process, the content of various additives in each detection sample is determined through a spectrum technology, and batch quality detection sampling is performed in the specified industrial manufacturing process; the method ensures that all stages in the production process meet expected additive standards, and in the impurity and foreign matter detection process, environmental protection influence parameters of plastic particle samples are obtained in the environmental protection quality detection process by analyzing thermal stability indexes of qualified batches of plastic particle samples; the analysis can guide the formulation of an environmental protection policy and the realization of a sustainable development target, promotes the environment-friendly production and use of plastic products, and finally, comprehensively analyzes through an impurity evaluation coefficient, a structural feature evaluation coefficient and an environmental influence evaluation coefficient to obtain a comprehensive quality evaluation index of a qualified batch of plastic particle samples.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The invention relates to the technical field of chemical analysis, and in particular to a method for detecting the quality of plastic particles. Background Art

[0002] Plastic particles are key raw materials widely used in industrial production and consumer product manufacturing. Their quality directly affects the performance and quality of the final product. Therefore, the demand for efficient and accurate detection of plastic particle quality is increasing. Traditional quality detection methods may have problems such as being time-consuming, complicated to operate, and unstable results. Therefore, new detection methods and technologies are constantly being explored and developed.

[0003] Prior art, such as the invention patent application with announcement number CN116030060A, discloses a plastic particle quality detection method, including determining the jump feature code corresponding to each pixel according to the gray value of the pixel in the binary image of the plastic particle to be detected and the gray value of the pixel in the preset neighborhood of each pixel, and then screening the candidate adhesion pixel; obtaining the gray shadow coefficient according to the gray value of each candidate adhesion pixel and the pixel in its preset neighborhood; determining the adhesion coefficient of each candidate adhesion pixel based on the gray shadow coefficient and the area of ​​the polygon corresponding to each candidate adhesion pixel; screening the adhesion pixel based on the adhesion coefficient of the candidate adhesion pixel in the window corresponding to each candidate adhesion pixel, and obtaining the plastic particle area in the gray image of the plastic particle to be detected; and then judging whether the quality of the plastic particle to be detected is qualified. The present invention improves the detection accuracy of the quality of plastic particles.

[0004] With respect to the above scheme, the applicant of the present invention has found that the above technology has at least the following technical problems: 1. The method described in the above method focuses on using image processing technology to screen and analyze the quality of plastic particles through pixel grayscale values ​​and transition feature codes. However, this method may be affected by factors such as image quality, acquisition environment and algorithm settings. For example, uneven lighting or background noise during image acquisition may interfere with the accuracy of the grayscale value, thereby affecting the final quality judgment.

[0005] 2. The above method mentioned that the detection accuracy of plastic particle quality has been improved, but the specific quality standards and judgment basis have not been detailed. In industrial production, the requirements for plastic particle quality are usually multi-dimensional, including physical properties, chemical composition, environmental impact during the production process and other aspects, but the above method fails to fully cover these aspects, which may lead to the inability to comprehensively evaluate the comprehensive quality of plastic particles in practical applications. Summary of the invention

[0006] The purpose of the present invention is to provide a plastic particle quality detection method, 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 solutions: The present invention provides a plastic particle quality detection method, including: step one, additive content detection: batch quality detection sampling of plastic particles is carried out in a specified industrial manufacturing process, and then the corresponding contents of various additives in each batch of plastic particle samples are analyzed to see whether they meet the quality requirements. When the corresponding content of a certain additive in a batch of plastic particle samples meets the quality requirements, it is recorded as a qualified batch of plastic particle samples, thereby performing impurity and foreign matter analysis, structural feature detection and environmental quality detection corresponding to the qualified batch of plastic particle samples.

[0008] Step 2: Detection of impurities and foreign matter: Obtain the total mass and thermal stability index corresponding to the qualified batch of plastic granule samples, and then analyze and obtain the impurity assessment coefficient corresponding to the qualified batch of plastic granule samples.

[0009] Step 3: Structural feature detection: obtain the structural feature information corresponding to the qualified batch of plastic particle samples, and then analyze and obtain the structural feature evaluation coefficient corresponding to the qualified batch of plastic particle samples.

[0010] Step 4: Environmental quality testing: Obtain the environmental impact parameters corresponding to the qualified batch of plastic granule samples, and thereby analyze and obtain the environmental impact assessment coefficients corresponding to the qualified batch of plastic granule samples in terms of environmental protection;

[0011] Step 5. Comprehensive quality analysis: Analyze the comprehensive quality assessment index corresponding to the qualified batch of plastic particle samples, and thereby analyze whether the quality of the plastic particles corresponding to the qualified batch of plastic particle samples meets the requirements.

[0012] Step 6. Early warning: When the quality of plastic particles corresponding to the qualified batch of plastic particle samples does not meet the requirements, an early warning will be issued.

[0013] Preferably, the analysis of whether the corresponding contents of various additives in each batch of plastic particle samples meet the quality requirements is carried out as follows: each test sample is extracted from each batch of plastic particle samples, the content of various additives in each test sample is determined by spectral technology, the contents of various additives corresponding to each test sample in each batch of plastic particle samples are calculated by mean, and the corresponding contents of various additives in each batch of plastic particle samples are obtained, and the corresponding contents of various additives in each batch of plastic particle samples are compared with the set standard content range of various additives. If the corresponding content of a certain additive in a batch of plastic particle samples belongs to the set standard content range of a certain additive, it means that the corresponding content of the additive in the batch of plastic particle samples meets the quality requirements, thereby analyzing whether the corresponding contents of various additives in each batch of plastic particle samples meet the quality requirements.

[0014] Preferably, the total mass and thermal stability index corresponding to the qualified batch of plastic particle samples are obtained by the following specific acquisition process: when the content of a certain additive in a batch of plastic particle samples meets the quality requirements, the sampling positions of the batch of plastic particle samples corresponding to each test sample are obtained, and samples are taken again from the sampling positions corresponding to each test sample to obtain each sample to be tested, and each sample to be tested is evenly divided into each Class A sample to be tested, each Class B sample to be tested and each Class C sample to be tested according to the number of samples to be tested;

[0015] The plastic particles in each sample to be tested are weighed by an electronic balance to obtain the mass of the plastic particles corresponding to each sample to be tested;

[0016] Under the same environmental conditions, each Formaldehyde sample to be detected is heated, and the temperature is increased according to the set temperature interval. The temperature corresponding to the decomposition of each Formaldehyde sample to be detected is recorded, marked as T1i, and the temperature corresponding to the complete decomposition of each Formaldehyde sample to be detected is recorded, marked as T2i, where i is the number corresponding to each Formaldehyde sample to be detected, i=1, 2,..., n, n is any integer greater than 2, and n represents the total number of Formaldehyde samples to be detected.

[0017] Preferably, the analysis obtains the impurity assessment coefficient corresponding to the qualified batch of plastic particle samples, and the specific analysis process is as follows: obtaining the standard temperature corresponding to the occurrence of decomposition and the standard temperature corresponding to complete decomposition of the plastic particles from the database;

[0018] According to the calculation formula

[0019] The impurity assessment coefficient α corresponding to the qualified batch of plastic particle samples is obtained, where mi represents the mass of plastic particles corresponding to the i-th A to be tested sample, mi′ represents the standard mass of plastic particles in the i-th A to be tested sample, T1′ and T2′ represent the standard temperature corresponding to the decomposition of the plastic particles and the standard temperature corresponding to the complete decomposition, respectively, and η 1 , η 2 , η3 are the weight factors corresponding to the set plastic particle mass, the weight factor corresponding to the temperature when decomposition occurs, and the weight factor corresponding to the temperature when completely decomposed.

[0020] Preferably, the structural feature information corresponding to the qualified batch of plastic particle samples is obtained, and the specific acquisition process is as follows: the structural feature information includes grain diameter and molecular chain length, and each plastic particle image corresponding to each sample to be tested under a microscope is obtained, and the maximum diameter corresponding to each plastic particle is obtained by image processing software, thereby obtaining the grain diameter corresponding to the qualified batch of plastic particle samples;

[0021] The polymer samples are extracted from the plastic particles by dissolving the plastic particles in the samples to be tested and placing them in specific solvents respectively. The polymer samples extracted from the plastic particles are injected into chromatographic columns by high performance liquid chromatography equipment. An optical detector is set at the outlet of each chromatographic column to detect the signals of polymer molecules in the outflowing solution. The penetration time distribution curve of the polymer molecules is established by recording the signals received by the optical detector at each moment. The molecular weight corresponding to each polymer molecule corresponds to the molecular chain length of each plastic particle. The peak value corresponding to the penetration time distribution curve of the polymer molecules is recorded to obtain the peak value corresponding to the molecular weight of each polymer molecule. Thus, the molecular chain length of each plastic particle corresponding to the molecular weight peak value corresponding to each polymer molecule is obtained, thereby obtaining the molecular chain length of each plastic particle corresponding to the molecular weight peak value corresponding to each polymer molecule, thereby obtaining the molecular chain length corresponding to the qualified batch of plastic particle samples.

[0022] Preferably, the structural feature evaluation coefficient corresponding to the qualified batch of plastic particle samples is obtained by analysis, and the specific analysis process is as follows: the standard grain diameter and standard molecular chain length corresponding to the qualified batch of plastic particle samples are obtained from the database;

[0024] According to the calculation formula The structural characteristic evaluation coefficient β corresponding to the qualified batch of plastic particle samples is obtained, where C and l represent the grain diameter and molecular chain length corresponding to the qualified batch of plastic particle samples, respectively, C′ and l′ represent the standard grain diameter and standard molecular chain length, respectively, and μ1 and μ2 represent the weight factor corresponding to the set grain diameter and molecular chain length, respectively.

[0025] Preferably, the environmental impact parameters corresponding to the qualified batch of plastic particle samples are obtained, and the specific analysis process is as follows: the environmental impact parameters include biodegradation time, water resource utilization rate and carbon emissions, and each sample to be tested is divided into three equal parts, namely the first equal part, the second equal part and the third equal part;

[0026] The first aliquot of samples are placed in a simulated natural environment, which includes a soil environment and a water environment. According to the set time period, the sample mass changes of each sample to be tested in the first aliquot in the soil environment and the water environment are recorded, so as to obtain a mass change graph of the plastic particle mass over time in the soil environment and the water environment, respectively. Accelerated degradation conditions are used in the soil environment and the water environment, and the accelerated degradation conditions include increasing the temperature, adding microorganisms and enzymes, thereby obtaining the biodegradation time corresponding to the qualified batch of plastic particle samples;

[0027] The total amount of water used in the production of qualified batches of plastic granule samples is obtained from the specified production process plan, and a water volume meter is set at the drain outlet to obtain the amount of water wasted in the production of qualified batches of plastic granule samples, thereby calculating the water resource utilization rate corresponding to the qualified batches of plastic granule samples.

[0028] Preferably, the analysis obtains the environmental impact assessment coefficient corresponding to the qualified batch of plastic particle samples in terms of environmental protection, and the specific analysis process is as follows: obtaining the standard environmental impact parameters corresponding to the plastic particles from the database, the standard environmental impact parameters including the standard biodegradation time and the standard water resource utilization rate;

[0029] By calculating the formula The environmental impact assessment coefficient φ corresponding to the qualified batch of plastic particle samples in terms of environmental protection is obtained, where t and s represent the biodegradation time and water resource utilization rate corresponding to the qualified batch of plastic particle samples, t′ and s′ represent the standard biodegradation time and standard water resource utilization rate, γ1 and γ2 represent the weight factors corresponding to the set biodegradation time and water resource utilization rate, respectively.

[0030] The beneficial effects of the present invention are as follows: 1. A plastic particle quality detection method provided by the present invention, in the process of detecting the additive content, determines the content of various additives in each test sample by spectral technology, which is helpful to confirm whether the various additives in the plastic particle samples meet the quality requirements. Batch quality detection sampling is carried out in a specified industrial manufacturing process, which can ensure that each stage of the production process meets the expected additive standards, thereby ensuring the consistency and quality stability of plastic products. In the process of detecting impurities and foreign matter, by analyzing the thermal stability index of qualified batches of plastic particle samples, it is helpful to evaluate their stability performance in the processing process. This analysis can detect the presence of possible impurities or foreign matter as early as possible, and then take measures to avoid adverse effects on the quality of the final product.

[0031] 2. In the process of structural feature detection, the embodiment of the present invention uses microscope observation and image processing software to analyze the grain diameter of plastic particles, which is conducive to evaluating their crystallization performance and morphological characteristics. This analysis helps to determine the mechanical strength and thermal properties of plastic particles during processing and use. In the process of environmental quality testing, the environmental impact parameters of plastic particle samples are obtained. This analysis can guide the formulation of environmental protection policies and the realization of sustainable development goals, and promote the environmentally friendly production and use of plastic products.

[0032] 3. The embodiment of the present invention obtains the comprehensive quality evaluation index of the qualified batch of plastic particle samples through comprehensive analysis of the impurity evaluation coefficient, the structural characteristic evaluation coefficient and the environmental impact evaluation coefficient. This comprehensive analysis can not only comprehensively evaluate the quality and applicability of the plastic particles, but also provide scientific basis and data support for product design, production process optimization and market promotion. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] 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.

[0034] Figure 1 It is a schematic flow chart of the implementation steps of the present invention. DETAILED DESCRIPTION

[0035] 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.

[0036] See also Figure 1 As shown, the present invention provides a plastic particle quality detection method, the method comprising: step one, additive content detection: performing batch quality detection sampling of plastic particles in a specified industrial manufacturing process, and then analyzing whether the corresponding contents of various additives in each batch of plastic particle samples meet the quality requirements; when the corresponding content of a certain additive in a batch of plastic particle samples meets the quality requirements, it is recorded as a qualified batch of plastic particle samples, thereby performing impurity and foreign matter analysis, structural feature detection and environmental quality detection corresponding to the qualified batch of plastic particle samples.

[0037] In a specific embodiment, the analysis of whether the corresponding contents of various additives in each batch of plastic particle samples meet the quality requirements is as follows: each test sample is extracted from each batch of plastic particle samples, the content of various additives in each test sample is determined by spectral technology, the corresponding contents of various additives in each test sample in each batch of plastic particle samples are calculated by mean, and the corresponding contents of various additives in each batch of plastic particle samples are obtained, and the corresponding contents of various additives in each batch of plastic particle samples are compared with the set standard content range of various additives. If the corresponding content of a certain additive in a batch of plastic particle samples belongs to the set standard content range of a certain additive, it means that the corresponding content of the additive in the batch of plastic particle samples meets the quality requirements, thereby analyzing whether the corresponding contents of various additives in each batch of plastic particle samples meet the quality requirements.

[0038] It should be noted that samples collected from different parts or at different time points were selected to reflect the changes and uniformity of the entire batch.

[0039] Step 2: Detection of impurities and foreign matter: Obtain the total mass and thermal stability index corresponding to the qualified batch of plastic granule samples, and then analyze and obtain the impurity assessment coefficient corresponding to the qualified batch of plastic granule samples.

[0040] In a specific embodiment, the total mass and thermal stability index corresponding to the qualified batch of plastic particle samples are obtained by the following specific acquisition process: when the content of a certain additive in a batch of plastic particle samples meets the quality requirements, the sampling positions of the batch of plastic particle samples corresponding to each test sample are obtained, and samples are taken again from the sampling positions corresponding to each test sample to obtain each sample to be tested, and each sample to be tested is evenly divided into each Class A sample to be tested, each Class B sample to be tested, and each Class C sample to be tested according to the number of samples to be tested;

[0041] The plastic particles in each sample to be tested are weighed by an electronic balance to obtain the mass of the plastic particles corresponding to each sample to be tested;

[0042] Under the same environmental conditions, each Formaldehyde sample to be detected is heated, and the temperature is increased according to the set temperature interval. The temperature corresponding to the decomposition of each Formaldehyde sample to be detected is recorded, marked as T1i, and the temperature corresponding to the complete decomposition of each Formaldehyde sample to be detected is recorded, marked as T2i, where i is the number corresponding to each Formaldehyde sample to be detected, i=1, 2,..., n, n is any integer greater than 2, and n represents the total number of Formaldehyde samples to be detected.

[0043] It should be noted that different types of impurities usually decompose within a specific temperature range. By determining the temperature at which the plastic particle sample begins to decompose, we can preliminarily infer the types of impurities that may exist. For example, some organic impurities may decompose at lower temperatures, while inorganic impurities may decompose at higher temperatures. The complete decomposition temperature is a key factor in determining whether the impurities are completely removed. If the plastic cannot be completely decomposed at the expected temperature, it means that residual impurities exist.

[0044] In a specific embodiment, the analysis obtains the impurity assessment coefficient corresponding to the qualified batch of plastic particle samples, and the specific analysis process is as follows: obtaining the standard temperature corresponding to the occurrence of decomposition and the standard temperature corresponding to complete decomposition of the plastic particles from the database;

[0045] According to the calculation formula

[0046] The impurity assessment coefficient α corresponding to the qualified batch of plastic particle samples is obtained, where mi represents the mass of plastic particles corresponding to the i-th A to be tested sample, mi′ represents the standard mass of plastic particles in the i-th A to be tested sample, T1′ and T2′ represent the standard temperature corresponding to the decomposition of the plastic particles and the standard temperature corresponding to the complete decomposition, respectively, and η 1 , η 2 , η3 are the weight factors corresponding to the set plastic particle mass, the weight factor corresponding to the temperature when decomposition occurs, and the weight factor corresponding to the temperature when completely decomposed.

[0047] It should be noted that each A-type sample to be detected is laid flat on the surface of the test bench to ensure that there is no stacking of plastic particles in each A-type sample to be detected. Each A-type sample to be detected is photographed by image processing software to obtain the number of plastic particles in each A-type sample to be detected. According to the standard mass corresponding to a single plastic particle, the number of plastic particles in each A-type sample to be detected is multiplied by the standard mass corresponding to a single plastic particle to obtain the standard mass of plastic particles in each A-type sample to be detected, η 1 , η 2 The values ​​of η and η3 are both greater than 0 and less than 1.

[0048] It should also be noted that the number of times the impurity assessment coefficient is greater than the set impurity assessment coefficient threshold due to the corresponding plastic particle mass, the number of times the impurity assessment coefficient is greater than the set impurity assessment coefficient threshold due to the corresponding temperature when decomposition occurs, and the number of times the impurity assessment coefficient is greater than the set impurity assessment coefficient threshold due to the corresponding temperature when decomposition is complete are obtained from the database, and the total number of times is accumulated, and the number of times the impurity assessment coefficient is greater than the set impurity assessment coefficient threshold due to the plastic particle mass, the number of times the impurity assessment coefficient is greater than the set impurity assessment coefficient threshold due to the corresponding temperature when decomposition occurs, and the number of times the impurity assessment coefficient is greater than the set impurity assessment coefficient threshold due to the corresponding temperature when complete decomposition is respectively divided by the total number of times, and the result obtained is the weight factor corresponding to the set plastic particle mass, the weight factor corresponding to the temperature when decomposition occurs, and the weight factor corresponding to the temperature when decomposition is complete.

[0049] Step 3: Structural feature detection: obtain the structural feature information corresponding to the qualified batch of plastic particle samples, and then analyze and obtain the structural feature evaluation coefficient corresponding to the qualified batch of plastic particle samples.

[0050] In a specific embodiment, the structural feature information corresponding to the qualified batch of plastic particle samples is obtained, and the specific acquisition process is as follows: the structural feature information includes grain diameter and molecular chain length, and each plastic particle image corresponding to each sample to be tested under a microscope is obtained, and the maximum diameter corresponding to each plastic particle is obtained by image processing software, thereby obtaining the grain diameter corresponding to the qualified batch of plastic particle samples;

[0051] The polymer samples are extracted from the plastic particles by dissolving the plastic particles in the samples to be tested and placing them in specific solvents respectively. The polymer samples extracted from the plastic particles are injected into chromatographic columns by high performance liquid chromatography equipment. An optical detector is set at the outlet of each chromatographic column to detect the signals of polymer molecules in the outflowing solution. The penetration time distribution curve of the polymer molecules is established by recording the signals received by the optical detector at each moment. The molecular weight corresponding to each polymer molecule corresponds to the molecular chain length of each plastic particle. The peak value corresponding to the penetration time distribution curve of the polymer molecules is recorded to obtain the peak value corresponding to the molecular weight of each polymer molecule. Thus, the molecular chain length of each plastic particle corresponding to the molecular weight peak value corresponding to each polymer molecule is obtained, thereby obtaining the molecular chain length of each plastic particle corresponding to the molecular weight peak value corresponding to each polymer molecule, thereby obtaining the molecular chain length corresponding to the qualified batch of plastic particle samples.

[0052] It should be noted that the maximum diameter corresponding to each plastic particle is calculated by the mean, and the maximum diameter corresponding to each 2nd sample to be tested is obtained. The maximum diameter corresponding to each 2nd sample to be tested is calculated by the mean, and the result obtained is the grain diameter corresponding to the qualified batch of plastic particle samples. The molecular chain length corresponding to each 2nd sample to be tested is obtained by the mean calculation, and the molecular chain length corresponding to each 2nd sample to be tested is calculated by the mean, and the result obtained is the molecular chain length corresponding to the qualified batch of plastic particle samples.

[0053] In a specific embodiment, the analysis obtains the structural feature evaluation coefficient corresponding to the qualified batch of plastic particle samples, and the specific analysis process is as follows:

[0054] Obtain the standard crystal diameter and standard molecular chain length corresponding to the qualified batch of plastic particle samples from the database;

[0055] According to the calculation formula The structural characteristic evaluation coefficient β corresponding to the qualified batch of plastic particle samples is obtained, where C and l represent the grain diameter and molecular chain length corresponding to the qualified batch of plastic particle samples, respectively, C′ and l′ represent the standard grain diameter and standard molecular chain length, respectively, and μ1 and μ2 represent the weight factor corresponding to the set grain diameter and molecular chain length, respectively.

[0056] It should be noted that μ 1 , μ 2 The value of is greater than 0 and less than 1.

[0057] It should also be noted that when the structural feature evaluation coefficient is greater than the set structural feature evaluation coefficient threshold, the number of times the corresponding grain diameter causes the structural feature evaluation coefficient to be greater than the set structural feature evaluation coefficient threshold, and the number of times the molecular chain length causes the structural feature evaluation coefficient to be greater than the set structural feature evaluation coefficient threshold are obtained from the database, and the total number of times is accumulated, and the number of times the grain diameter causes the structural feature evaluation coefficient to be greater than the set structural feature evaluation coefficient threshold, and the number of times the molecular chain length causes the structural feature evaluation coefficient to be greater than the set structural feature evaluation coefficient threshold are divided by the total number of times respectively, and the result obtained is the weight factor corresponding to the set grain diameter and the weight factor corresponding to the molecular chain length.

[0058] Step 4: Environmental quality testing: Obtain the environmental impact parameters corresponding to the qualified batch of plastic granule samples, and thereby analyze and obtain the environmental impact assessment coefficients corresponding to the qualified batch of plastic granule samples in terms of environmental protection.

[0059] In a specific embodiment, the environmental impact parameters corresponding to the qualified batch of plastic particle samples are obtained, and the specific analysis process is as follows: the environmental impact parameters include biodegradation time, water resource utilization rate and carbon emissions, and each sample to be tested is divided into three equal parts, namely the first equal part, the second equal part and the third equal part;

[0060] The first aliquot of samples are placed in a simulated natural environment, which includes a soil environment and a water environment. According to the set time period, the sample mass changes of each sample to be tested in the first aliquot in the soil environment and the water environment are recorded, so as to obtain a mass change graph of the plastic particle mass over time in the soil environment and the water environment, respectively. Accelerated degradation conditions are used in the soil environment and the water environment, and the accelerated degradation conditions include increasing the temperature, adding microorganisms and enzymes, thereby obtaining the biodegradation time corresponding to the qualified batch of plastic particle samples;

[0061] The total amount of water used in the production of qualified batches of plastic granule samples is obtained from the specified production process plan, and a water volume meter is set at the drain outlet to obtain the amount of water wasted in the production of qualified batches of plastic granule samples, thereby calculating the water resource utilization rate corresponding to the qualified batches of plastic granule samples.

[0062] It should be noted that the biodegradation time corresponding to each Class C sample to be tested in the soil environment is calculated by the mean, and the average biodegradation time corresponding to each Class C sample to be tested is obtained. The average biodegradation time corresponding to each Class C sample to be tested is then calculated by the mean, and the result is the biodegradation time corresponding to the qualified batch of plastic particle samples. The total water usage is subtracted from the wasted water to obtain the actual water usage, and the actual water usage is divided by the total water usage, and the result is the water resource utilization rate corresponding to the qualified batch of plastic particle samples.

[0063] It should also be noted that in the quality testing of plastic particles, the biodegradation time is directly related to the persistence of plastics in the environment and its potential environmental impact. At the same time, the corresponding water resource utilization rate in the production process reflects the sustainability of the plastic production process.

[0064] In a specific embodiment, the analysis obtains the environmental impact assessment coefficient corresponding to the environmental protection of the qualified batch of plastic particle samples, and the specific analysis process is as follows: obtaining the standard environmental impact parameters corresponding to the plastic particles from the database, the standard environmental impact parameters including the standard biodegradation time and the standard water resource utilization rate;

[0065] By calculating the formula The environmental impact assessment coefficient φ corresponding to the qualified batch of plastic particle samples in terms of environmental protection is obtained, where t and s represent the biodegradation time and water resource utilization rate corresponding to the qualified batch of plastic particle samples, t′ and s′ represent the standard biodegradation time and standard water resource utilization rate, γ1 and γ2 represent the weight factors corresponding to the set biodegradation time and water resource utilization rate, respectively.

[0066] It should be noted that the values ​​of γ1 and γ2 are both greater than 0 and less than 1.

[0067] It should also be noted that when the environmental impact assessment coefficient corresponding to the qualified batch of plastic particle samples in terms of environmental protection is greater than the set impact assessment coefficient threshold, the number of times the environmental impact assessment coefficient is greater than the set impact assessment coefficient threshold due to the corresponding biodegradation time, and the number of times the environmental impact assessment coefficient is greater than the set impact assessment coefficient threshold due to the water resource utilization rate are obtained from the database, and the total number of times is accumulated, and the number of times the environmental impact assessment coefficient is greater than the set impact assessment coefficient threshold due to the biodegradation time, and the number of times the environmental impact assessment coefficient is greater than the set impact assessment coefficient threshold due to the water resource utilization rate are divided by the total number of times respectively, and the result obtained is the weight factor corresponding to the set biodegradation time and the weight factor corresponding to the water resource utilization rate.

[0068] In the process of structural feature detection, the embodiment of the present invention uses microscope observation and image processing software to analyze the grain diameter of plastic particles, which is conducive to evaluating their crystallization performance and morphological characteristics. This analysis helps to determine the mechanical strength and thermal properties of plastic particles during processing and use. In the process of environmental quality detection, the environmental impact parameters of plastic particle samples are obtained. This analysis can guide the formulation of environmental protection policies and the realization of sustainable development goals, and promote the environmentally friendly production and use of plastic products.

[0069] Step 5. Comprehensive quality analysis: Analyze the comprehensive quality assessment index corresponding to the qualified batch of plastic particle samples, and thereby analyze whether the quality of the plastic particles corresponding to the qualified batch of plastic particle samples meets the requirements.

[0070] In a specific embodiment, the analysis obtains the comprehensive quality evaluation index corresponding to the qualified batch of plastic particle samples. The specific analysis process is as follows: By calculating the formula Obtain the comprehensive quality assessment index corresponding to the qualified batch of plastic granule samples Among them, λ1, λ2, and λ3 are the weight factors corresponding to the set impurity assessment coefficient, the weight factor corresponding to the structural feature assessment coefficient, and the weight factor corresponding to the environmental impact assessment coefficient, respectively.

[0071] It should be noted that the values ​​of λ1, λ2, and λ3 are all greater than 0 and less than 1.

[0072] It should also be noted that when the quality of the plastic particles corresponding to the qualified batch of plastic particle samples does not meet the requirements, the number of times the quality does not meet the requirements due to the impurity assessment coefficient, the number of times the quality does not meet the requirements due to the structural feature assessment coefficient, and the number of times the quality does not meet the requirements due to the environmental impact assessment coefficient are obtained from the database, and the total number of times is accumulated, and the number of times the quality does not meet the requirements due to the impurity assessment coefficient, the number of times the quality does not meet the requirements due to the structural feature assessment coefficient, and the number of times the quality does not meet the requirements due to the environmental impact assessment coefficient are divided by the total number of times respectively, and the result obtained is the weight factor corresponding to the set impurity assessment coefficient, the weight factor corresponding to the structural feature assessment coefficient, and the weight factor corresponding to the environmental impact assessment coefficient.

[0073] In a specific embodiment, the analysis of whether the quality of plastic particles corresponding to the qualified batch of plastic particle samples meets the requirements is performed as follows: the comprehensive quality assessment index corresponding to the qualified batch of plastic particle samples is compared with a set comprehensive quality assessment index threshold. If the comprehensive quality assessment index corresponding to the qualified batch of plastic particle samples is greater than or equal to the set comprehensive quality assessment index threshold, it means that the quality of plastic particles corresponding to the qualified batch of plastic particle samples meets the requirements; if the comprehensive quality assessment index corresponding to the qualified batch of plastic particle samples is less than the set comprehensive quality assessment index threshold, it means that the quality of plastic particles corresponding to the qualified batch of plastic particle samples does not meet the requirements.

[0074] The embodiment of the present invention obtains a comprehensive quality assessment index of a qualified batch of plastic particle samples through comprehensive analysis of the impurity assessment coefficient, the structural characteristic assessment coefficient and the environmental impact assessment coefficient. This comprehensive analysis can not only comprehensively evaluate the quality and applicability of the plastic particles, but also provide a scientific basis and data support for product design, production process optimization and market promotion.

[0075] Step 6. Early warning: When the quality of plastic particles corresponding to the qualified batch of plastic particle samples does not meet the requirements, an early warning will be issued.

[0076] The present invention provides a plastic particle quality detection method. In the process of detecting the content of additives, the content of various additives in each detection sample is determined by spectral technology, which is helpful to confirm whether the various additives in the plastic particle samples meet the quality requirements. Batch quality detection sampling is carried out in a specified industrial manufacturing process, which can ensure that each stage of the production process meets the expected additive standards, thereby ensuring the consistency and quality stability of plastic products. In the process of detecting impurities and foreign matter, by analyzing the thermal stability index of qualified batches of plastic particle samples, it is helpful to evaluate their stability performance in the processing process. This analysis can detect the presence of possible impurities or foreign matter as early as possible, and then take measures to avoid adverse effects on the quality of the final product.

[0077] 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 in this specification, they shall all fall within the protection scope of the present invention.

Claims

1. A method for detecting the quality of plastic particles, It is characterized in that include: Step 1: Additive content detection: In the specified industrial manufacturing process, plastic pellets are sampled for batch quality detection, and then the contents of various additives in each batch of plastic pellet samples are analyzed to see whether they meet the quality requirements. When the contents of various additives in a batch of plastic pellet samples meet the quality requirements, they are recorded as qualified batches of plastic pellet samples, and then the impurity and foreign matter analysis, structural feature detection and environmental quality detection of the qualified batches of plastic pellet samples are carried out; Step 2: Impurity and foreign matter detection: Obtain the total mass and thermal stability index corresponding to the qualified batch of plastic granule samples, and then analyze and obtain the impurity assessment coefficient corresponding to the qualified batch of plastic granule samples; Step 3: Structural feature detection: obtaining structural feature information corresponding to the qualified batch of plastic particle samples, and then analyzing and obtaining the structural feature evaluation coefficient corresponding to the qualified batch of plastic particle samples; Step 4: Environmental quality testing: Obtain the environmental impact parameters corresponding to the qualified batch of plastic granule samples, and thereby analyze and obtain the environmental impact assessment coefficients corresponding to the qualified batch of plastic granule samples in terms of environmental protection; Step 5. Comprehensive quality analysis: Analyze the comprehensive quality assessment index corresponding to the qualified batch of plastic particle samples, thereby analyzing whether the quality of the plastic particles corresponding to the qualified batch of plastic particle samples meets the requirements; Step 6. Early warning: When the quality of plastic particles corresponding to the qualified batch of plastic particle samples does not meet the requirements, an early warning will be issued.

2. A plastic particle quality detection method according to claim 1, It is characterized in that The specific analysis process of analyzing whether the content of various additives in each batch of plastic particle samples meets the quality requirements is as follows: Each test sample is extracted from each batch of plastic particle samples, and the content of various additives in each test sample is determined by spectral technology. The corresponding contents of various additives in each test sample in each batch of plastic particle samples are calculated by mean value to obtain the corresponding contents of various additives in each batch of plastic particle samples. The corresponding contents of various additives in each batch of plastic particle samples are compared with the set standard content range of various additives. If the corresponding content of a certain additive in a batch of plastic particle samples belongs to the set standard content range of a certain additive, it means that the corresponding content of this additive in the batch of plastic particle samples meets the quality requirements, thereby analyzing whether the corresponding contents of various additives in each batch of plastic particle samples meet the quality requirements.

3. A plastic particle quality detection method according to claim 2, It is characterized in that The specific process of obtaining the total mass and thermal stability index of the qualified batch of plastic particle samples is as follows: When the content of a certain additive in a batch of plastic particle samples meets the quality requirements, the sampling positions of the plastic particle samples in the batch corresponding to each test sample are obtained, and samples are taken again from the sampling positions corresponding to each test sample to obtain each sample to be tested, and each sample to be tested is evenly divided into each Class A sample to be tested, each Class B sample to be tested, and each Class C sample to be tested according to the number of samples to be tested; The plastic particles in each sample to be tested are weighed by an electronic balance to obtain the mass of the plastic particles corresponding to each sample to be tested; Under the same environmental conditions, each Formaldehyde sample to be detected is heated, and the temperature is increased according to the set temperature interval. The temperature corresponding to the decomposition of each Formaldehyde sample to be detected is recorded, marked as T1i, and the temperature corresponding to the complete decomposition of each Formaldehyde sample to be detected is recorded, marked as T2i, where i is the number corresponding to each Formaldehyde sample to be detected, i=1, 2,..., n, n is any integer greater than 2, and n represents the total number of Formaldehyde samples to be detected.

4. A plastic particle quality detection method according to claim 3, It is characterized in that The analysis obtained the impurity assessment coefficient corresponding to the qualified batch of plastic granule samples. The specific analysis process is as follows: Obtain the standard temperature corresponding to the occurrence of decomposition and the standard temperature corresponding to complete decomposition of the plastic particles from the database; According to the calculation formula The impurity assessment coefficient α corresponding to the qualified batch of plastic particle samples is obtained, where mi represents the mass of plastic particles corresponding to the i-th A to be tested sample, mi′ represents the standard mass of plastic particles in the i-th A to be tested sample, T1′ and T2′ represent the standard temperature corresponding to the decomposition of the plastic particles and the standard temperature corresponding to the complete decomposition, respectively, and η 1 , η 2 , η3 are the weight factors corresponding to the set plastic particle mass, the weight factor corresponding to the temperature when decomposition occurs, and the weight factor corresponding to the temperature when completely decomposed.

5. A plastic particle quality detection method according to claim 4, It is characterized in that The specific acquisition process of obtaining the structural feature information corresponding to the qualified batch of plastic particle samples is as follows: The structural feature information includes crystal diameter and molecular chain length. The images of each plastic particle corresponding to each sample to be tested under a microscope are obtained, and the maximum diameter corresponding to each plastic particle is obtained through image processing software, thereby obtaining the crystal diameter corresponding to the qualified batch of plastic particle samples; The polymer samples are extracted from the plastic particles by dissolving the plastic particles in the samples to be tested and placing them in specific solvents respectively. The polymer samples extracted from the plastic particles are injected into chromatographic columns by high performance liquid chromatography equipment. An optical detector is set at the outlet of each chromatographic column to detect the signals of polymer molecules in the outflowing solution. The penetration time distribution curve of the polymer molecules is established by recording the signals received by the optical detector at each moment. The molecular weight corresponding to each polymer molecule corresponds to the molecular chain length of each plastic particle. The peak value corresponding to the penetration time distribution curve of the polymer molecules is recorded to obtain the peak value corresponding to the molecular weight of each polymer molecule. Thus, the molecular chain length of each plastic particle corresponding to the molecular weight peak value corresponding to each polymer molecule is obtained, thereby obtaining the molecular chain length of each plastic particle corresponding to the molecular weight peak value corresponding to each polymer molecule, thereby obtaining the molecular chain length corresponding to the qualified batch of plastic particle samples.

6. A method for detecting quality of plastic particles according to claim 5, It is characterized in that The analysis obtained the structural characteristic evaluation coefficient corresponding to the qualified batch of plastic particle samples. The specific analysis process is as follows: Obtain the standard crystal diameter and standard molecular chain length corresponding to the qualified batch of plastic particle samples from the database; According to the calculation formula The structural characteristic evaluation coefficient β corresponding to the qualified batch of plastic particle samples is obtained, where C and l represent the grain diameter and molecular chain length corresponding to the qualified batch of plastic particle samples, respectively, C′ and l′ represent the standard grain diameter and standard molecular chain length, respectively, and μ1 and μ2 represent the weight factor corresponding to the set grain diameter and molecular chain length, respectively.

7. A method for detecting quality of plastic particles according to claim 6, It is characterized in that The specific analysis process of obtaining the environmental impact parameters corresponding to the qualified batch of plastic particle samples is as follows: Environmental impact parameters include biodegradation time, water resource utilization rate and carbon emissions. Each C sample to be tested is divided into three equal parts, namely the first, second and third parts; The first aliquot of samples are placed in a simulated natural environment, which includes a soil environment and a water environment. According to the set time period, the sample mass changes of each sample to be tested in the first aliquot in the soil environment and the water environment are recorded, so as to obtain a mass change graph of the plastic particle mass over time in the soil environment and the water environment, respectively. Accelerated degradation conditions are used in the soil environment and the water environment, and the accelerated degradation conditions include increasing the temperature, adding microorganisms and enzymes, thereby obtaining the biodegradation time corresponding to the qualified batch of plastic particle samples; The total amount of water used in the production of qualified batches of plastic granule samples is obtained from the specified production process plan, and a water volume meter is set at the drain outlet to obtain the amount of water wasted in the production of qualified batches of plastic granule samples, thereby calculating the water resource utilization rate corresponding to the qualified batches of plastic granule samples.

8. A method for detecting quality of plastic particles according to claim 7, It is characterized in that The analysis obtained the environmental impact assessment coefficient corresponding to the environmental protection of the qualified batch of plastic granule samples. The specific analysis process is as follows: Obtain standard environmental impact parameters corresponding to plastic particles from the database, the standard environmental impact parameters including standard biodegradation time and standard water resource utilization rate; By calculating the formula The environmental impact assessment coefficient φ corresponding to the qualified batch of plastic particle samples in terms of environmental protection is obtained, where t and s represent the biodegradation time and water resource utilization rate corresponding to the qualified batch of plastic particle samples, t′ and s′ represent the standard biodegradation time and standard water resource utilization rate, γ1 and γ2 represent the weight factors corresponding to the set biodegradation time and water resource utilization rate, respectively.

9. A method for detecting quality of plastic particles according to claim 8, It is characterized in that The analysis obtained the comprehensive quality assessment index corresponding to the qualified batch of plastic granule samples. The specific analysis process is as follows: By calculating the formula Obtain the comprehensive quality assessment index corresponding to the qualified batch of plastic granule samples Among them, λ1, λ2, and λ3 are the weight factors corresponding to the set impurity assessment coefficient, the weight factor corresponding to the structural feature assessment coefficient, and the weight factor corresponding to the environmental impact assessment coefficient, respectively.

10. A method for detecting quality of plastic particles according to claim 9, It is characterized in that The specific analysis process of analyzing whether the quality of plastic particles corresponding to the qualified batch of plastic particle samples meets the requirements is as follows: The comprehensive quality assessment index corresponding to the qualified batch of plastic particle samples is compared with the set comprehensive quality assessment index threshold. If the comprehensive quality assessment index corresponding to the qualified batch of plastic particle samples is greater than or equal to the set comprehensive quality assessment index threshold, it means that the quality of plastic particles corresponding to the qualified batch of plastic particle samples meets the requirements; if the comprehensive quality assessment index corresponding to the qualified batch of plastic particle samples is less than the set comprehensive quality assessment index threshold, it means that the quality of plastic particles corresponding to the qualified batch of plastic particle samples does not meet the requirements.

Citation Information

Patent Citations

  • Food quality safety intelligent detection system based on X-ray image analysis

    CN111999320A

  • Online intelligent detection and analysis system for semiconductor chip manufacturing based on machine vision

    CN115101431A

  • Distributed river and lake ecological stability monitoring and analyzing method

    CN115165999A

  • Method for detecting content of stabilizer and antioxidant in plastic master batch

    CN115980240A

  • Method for testing and analyzing pressure in closed space

    CN117571490A

Cited By

  • Plastic particle production process parameter intelligent optimization method and system

    CN122165552A

  • Intelligent optimization method and system for plastic particle production process parameters

    CN122165552B