Modified asphalt polymer dosage detection method for prebaked anode

Abstract

The invention provides a modified asphalt polymer dosage detection method for a prebaked anode, and relates to the technical field of asphalt polymer dosage detection. The modified asphalt polymer dosage detection method for the prebaked anode comprises the following steps: sample collection: collecting samples from different stages of a prebaked anode production line; performing spectrum scanning, namely performing spectrum scanning on the sample by using a detection instrument to obtain spectrum data of the sample; data processing: comparing with an established standard data set, and extracting a characteristic spectrum peak value related to the modified asphalt polymer; and dose calculation: calculating the specific dose of the modified asphalt polymer according to the spectral response value in combination with the standard curve of the sample. By adopting a spectral analysis technology, the dosage of the modified asphalt polymer can be accurately detected, and data deviation and instability caused by a traditional sampling analysis method are avoided.

Description

Technical Field

[0001] The invention relates to the technical field of asphalt polymer dosage detection, in particular to a modified asphalt polymer dosage detection method for prebaked anodes. Background Art

[0002] Prebaked anodes are important key materials in the aluminum electrolysis industry and are widely used in aluminum electrolytic cells for the electrolytic smelting of aluminum. Their performance directly affects the efficiency and power consumption of the electrolysis process. In the production process of prebaked anodes, modified asphalt and polymers are one of the important raw materials, which are used to improve the mechanical properties, electrical conductivity and high temperature resistance of the anodes.

[0003] In the production process of prebaked anodes, the dosage ratio of modified asphalt and polymer has a crucial impact on the final performance of the anode. Too much or too little modified asphalt and polymer dosage may lead to unstable anode performance and even affect the overall operating efficiency of the electrolyzer. Therefore, accurate and rapid monitoring of the ratio of asphalt and polymer and their dosage has become an important link in ensuring the quality of the anode.

[0004] Currently, traditional detection methods mostly rely on manual sampling, loss on ignition analysis or reaction measurement. These methods are often time-consuming and labor-intensive, and it is difficult to achieve online monitoring and real-time adjustment. Therefore, technicians in this field provide a modified asphalt polymer dosage detection method for prebaked anodes to solve the problems raised in the above background technology. Summary of the invention

[0005] 1. Technical issues to be resolved

[0006] In view of the deficiencies in the prior art, the present invention provides a method for detecting dosage of modified asphalt polymer for prebaked anodes, which solves the problems that the prior detection methods are time-consuming and labor-intensive and cannot achieve online monitoring and real-time adjustment.

[0007] (II) Technical solution

[0008] To achieve the above objectives, the present invention is implemented by the following technical scheme: A method for detecting the dosage of modified asphalt polymer for prebaked anodes, comprising:

[0009] Sample collection, collecting samples from different stages of the prebaked anode production line;

[0010] Spectral scanning: using a detection instrument to perform spectral scanning on the sample to obtain spectral data of the sample;

[0011] Data processing, by comparing with the established standard data set, extracting the characteristic spectral peaks related to the modified asphalt polymer;

[0012] Dose calculation, based on the spectral response value and combined with the standard curve of the sample, calculate the specific dosage of the modified asphalt polymer.

[0013] Preferably, the sample collection comprises the following steps:

[0014] S1. Determine the sampling time and frequency. According to the different stages of the production process, select appropriate sampling time points, including before raw material mixing, after the addition of modified asphalt polymer and after the final mixing. The samples before raw material mixing can reflect the properties of the raw materials themselves, after the addition of modified asphalt polymer can reflect the initial mixing of modified asphalt polymer and other components, and after the final mixing can represent the quality of the final product. The sampling frequency is determined according to the production scale and process control requirements;

[0015] S2. Select sampling locations, including raw material warehouse sampling, mixing area sampling and production line sampling;

[0016] S3. Prepare sampling tools and use tools suitable for the sample type, including but not limited to small shovels, sample bottles and sampling bags. Ensure that the tools are clean and free of contamination. If necessary, use automated sampling devices to improve the accuracy and repeatability of sampling and avoid deviations from manual operations.

[0017] S4. Sampling method: for the collection of solid materials, samples should be obtained from different positions and depths as much as possible to ensure the uniformity of the samples. During the production process, the mixture may undergo certain changes. It is recommended to sample by time. When sampling, ensure that the samples come from all parts of the mixture, not just a fixed position, to avoid taking uneven parts.

[0018] S5. Determine the sampling volume to ensure that the sample volume obtained each time is sufficient to meet the experimental requirements for subsequent analysis. The sampling volume each time is between 200g and 500g of sample;

[0019] S6. Sample processing and storage. Samples should be processed as soon as possible after collection to ensure that they meet the requirements of the spectral scanner. After sampling, samples should be sealed in clean, uncontaminated containers and stored in a dry, cool place to avoid exposure to high temperature and humidity.

[0020] S7. Record sampling information, including sampling time, location, production stage, sample number, batch number and other relevant identification, sampling tools and methods, and personnel information.

[0021] Preferably, the spectral scanning comprises the following steps:

[0022] S1. Preparation: Make sure the sample surface is clean to avoid stains or impurities that affect the scanning results. For solid samples, you may need to grind them finely; for liquid samples, make sure there are no bubbles. According to the instrument requirements, solid samples may need to be pressed into sheets or made into films; liquid samples usually need to be placed in a special cuvette. Then check the working status of the spectrometer, check whether the light source, detector, optical fiber and filter are normal, and calibrate the instrument as needed.

[0023] S2. Set scanning parameters and select appropriate spectrum type, wavelength range and scanning parameters according to the characteristics of the measured sample;

[0024] S3. Scan and start the spectrum scanning program. The instrument will automatically perform light source irradiation, sample-light interaction and light signal detection, generate spectrum data, and record the data files generated during the scanning process to ensure that all scan data are saved and can be traced back at any time;

[0025] S4. Data processing: noise removal, qualitative analysis and quantitative analysis of the data;

[0026] S5. Result analysis and reporting: Based on the spectral characteristics and quantitative analysis results, combined with the background information of the sample, scientific and reasonable conclusions are drawn and a detailed analysis report is written. To ensure the accuracy of the analysis, the scanning and analysis can be repeated multiple times to compare the consistency of the results;

[0027] S6. End and clean up. Clean the optical path and sample chamber of the spectrometer to ensure that no sample residues contaminate the equipment to prevent it from affecting the next use. For liquid samples, clean the cuvette or other containers to maintain the long-term stability of the equipment.

[0028] Preferably, the data processing comprises the following steps:

[0029] S1. Noise removal. Spectral data often contains certain noise. The spectral curve is smoothed by mathematical algorithms to remove high-frequency noise. The specific calculation formula is:

[0030] Moving average method: smooth the curve by taking the average value of data within a certain range;

[0031]

[0032] Among them, S i is the smoothed data value, N is the size of the sliding window, X j is the original data value;

[0033] S2. Background correction, the baseline is determined by fitting the bottom area of ​​the spectrum, and the calculation formula is:

[0034] Y corrected =Y original-(aX+b)

[0035] Where a and b are the parameters of the linear fit, and X and Y are the wavelength and intensity of the spectrum;

[0036] S3. Peak recognition and qualitative analysis: By setting a threshold or finding a local extreme point, the characteristic peak in the spectrum is identified, and the significance of the peak is evaluated by calculating the ratio of the peak to the noise. The calculation formula of the signal-to-noise ratio is:

[0037]

[0038] Among them, A peak is the height of the peak, σ noise is the standard deviation of the noise;

[0039] S4. Quantitative analysis, by linear regression fitting standard curve, the formula is:

[0040] A=mC+b

[0041] Where A is the absorbance, C is the concentration, m and b are the slope and intercept obtained by solid line fitting;

[0042] S5. Data correction and normalization, remove any baseline shift in the spectra, adjust the spectra between different samples to ensure that they are compared on the same axis, and normalize to the maximum value:

[0043]

[0044] Adjust the data to a maximum value of 1;

[0045] Interval normalization:

[0046]

[0047] Normalize the data to the range of 0 to 1.

[0048] Preferably, the dosage calculation comprises the following steps:

[0049] S1. Absorbed dose. Absorbed dose refers to the radiation energy absorbed by a unit mass of a substance. The formula is:

[0050]

[0051] Where: D is the absorbed dose, the unit is ash, 1 ash = 1 joule / kilogram; E is the radiation energy, the unit is joule; m is the mass of the substance, the unit is kilogram;

[0052] S2. Equivalent dose. Equivalent dose is the dose after considering the radiation quality factor. It is used to evaluate the biological effects of radiation on different tissues. The formula is:

[0053] H=D·Q

[0054] Where: H is the equivalent dose, the unit is sievert; D is the absorbed dose, the unit is ash; Q is the radiation quality factor;

[0055] S3. Effective dose. The effective dose takes into account the sensitivity of different tissues and is used to assess the risk of exposure to the entire body. The formula is:

[0056]

[0057] Where: E is the effective dose, the unit is sievert; ω T H is the tissue weight factor, which indicates the sensitivity of different tissues to radiation; T is the equivalent dose to the tissue;

[0058] S4. Inhalation dose. For the calculation of inhalation dose of air pollutants, the calculation formula is:

[0059] Inhaled dose = C × IR × ED

[0060] Where: C is the concentration of pollutants in the air; IR is the inhalation rate; ED is the number of exposure days;

[0061] S5. Intake dose. Intake dose is usually used to assess the exposure to pollutants through vehicles and food. The formula is:

[0062] Intake dose = C × IR × ED

[0063] Where: C is the concentration of the pollutant in water or food; IR is the intake rate; ED is the number of exposure days.

[0064] (III) Beneficial effects

[0065] The present invention provides a method for detecting dosage of modified asphalt polymer for prebaked anodes. It has the following beneficial effects:

[0066] 1. In the present invention, the method provided can realize real-time online monitoring of the dosage of modified asphalt polymer in the prebaked anode production process, avoiding the delay and manual errors existing in the traditional method, and greatly improving the automation level of the production process.

[0067] 2. In the present invention, by adopting spectral analysis technology, the dosage of modified asphalt polymer can be accurately detected, avoiding the data deviation and instability caused by traditional sampling and analysis methods.

[0068] 3. In the present invention, no complicated experimental operation is required, the detection equipment is relatively simple and low-cost, suitable for industrial application, and can be conveniently operated at the production site. Compared with the traditional chemical analysis method, the spectroscopic method does not require the use of chemical reagents, thereby reducing pollution to the environment. DETAILED DESCRIPTION

[0069] The following will be combined with 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 making creative work are within the scope of protection of the present invention.

[0070] Embodiment 1:

[0071] The embodiment of the present invention provides a method for detecting dosage of modified asphalt polymer for prebaked anode, comprising:

[0072] Sample collection, collecting samples from different stages of the prebaked anode production line;

[0073] Spectral scanning: using a detection instrument to perform spectral scanning on the sample to obtain spectral data of the sample;

[0074] Data processing, by comparing with the established standard data set, extracting the characteristic spectral peaks related to the modified asphalt polymer;

[0075] Dose calculation, based on the spectral response value and combined with the standard curve of the sample, calculate the specific dosage of the modified asphalt polymer.

[0076] Sample collection involves the following steps:

[0077] S1. Determine the sampling time and frequency. According to the different stages of the production process, select appropriate sampling time points, including before raw material mixing, after the addition of modified asphalt polymer and after the final mixing. The samples before raw material mixing can reflect the properties of the raw materials themselves, after the addition of modified asphalt polymer can reflect the initial mixing of modified asphalt polymer and other components, and after the final mixing can represent the quality of the final product. Determine the sampling frequency according to the production scale and process control requirements;

[0078] S2. Select sampling locations, including raw material warehouse sampling, mixing area sampling and production line sampling;

[0079] S3. Prepare sampling tools and use tools suitable for the sample type, including but not limited to small shovels, sample bottles and sampling bags. Ensure that the tools are clean and free of contamination. If necessary, use automated sampling devices to improve the accuracy and repeatability of sampling and avoid deviations from manual operations.

[0080] S4. Sampling method: for the collection of solid materials, samples should be obtained from different positions and depths as much as possible to ensure the uniformity of the samples. During the production process, the mixture may undergo certain changes. It is recommended to sample by time. When sampling, ensure that the samples come from all parts of the mixture, not just a fixed position, to avoid taking uneven parts.

[0081] S5. Determine the sampling volume to ensure that the sample volume obtained each time is sufficient to meet the experimental requirements for subsequent analysis. The sampling volume each time is between 200g and 500g of sample;

[0082] S6. Sample processing and storage. Samples should be processed as soon as possible after collection to ensure that they meet the requirements of the spectral scanner. After sampling, samples should be sealed in clean, uncontaminated containers and stored in a dry, cool place to avoid exposure to high temperature and humidity.

[0083] S7. Record sampling information, including sampling time, location, production stage, sample number, batch number and other relevant identification, sampling tools and methods, and personnel information.

[0084] Spectral scanning includes the following steps:

[0085] S1. Preparation: Make sure the sample surface is clean to avoid stains or impurities that affect the scanning results. For solid samples, you may need to grind them finely; for liquid samples, make sure there are no bubbles. According to the instrument requirements, solid samples may need to be pressed into sheets or made into films; liquid samples usually need to be placed in a special cuvette. Then check the working status of the spectrometer, check whether the light source, detector, optical fiber and filter are normal, and calibrate the instrument as needed.

[0086] S2. Set scanning parameters and select appropriate spectrum type, wavelength range and scanning parameters according to the characteristics of the measured sample;

[0087] S3. Scan and start the spectrum scanning program. The instrument will automatically perform light source irradiation, sample-light interaction and light signal detection, generate spectrum data, and record the data files generated during the scanning process to ensure that all scan data are saved and can be traced back at any time;

[0088] S4. Data processing: noise removal, qualitative analysis and quantitative analysis of the data;

[0089] S5. Result analysis and reporting: Based on the spectral characteristics and quantitative analysis results, combined with the background information of the sample, scientific and reasonable conclusions are drawn and a detailed analysis report is written. To ensure the accuracy of the analysis, the scanning and analysis can be repeated multiple times to compare the consistency of the results;

[0090] S6. End and clean up. Clean the optical path and sample chamber of the spectrometer to ensure that no sample residues contaminate the equipment to prevent it from affecting the next use. For liquid samples, clean the cuvette or other containers to maintain the long-term stability of the equipment.

[0091] Data processing includes the following steps:

[0092] S1. Noise removal. Spectral data often contains certain noise. The spectral curve is smoothed by mathematical algorithms to remove high-frequency noise. The specific calculation formula is:

[0093] Moving average method: smooth the curve by taking the average value of data within a certain range;

[0094]

[0095] Among them, S i is the smoothed data value, N is the size of the sliding window, X j is the original data value;

[0096] S2. Background correction, the baseline is determined by fitting the bottom area of ​​the spectrum, and the calculation formula is:

[0097] Y corrected =Y original -(aX+b)

[0098] Where a and b are the parameters of the linear fit, and X and Y are the wavelength and intensity of the spectrum;

[0099] S3. Peak recognition and qualitative analysis: By setting a threshold or finding a local extreme point, the characteristic peak in the spectrum is identified, and the significance of the peak is evaluated by calculating the ratio of the peak to the noise. The calculation formula of the signal-to-noise ratio is:

[0100]

[0101] Among them, A peak is the height of the peak, σ noise is the standard deviation of the noise;

[0102] S4. Quantitative analysis, by linear regression fitting standard curve, the formula is:

[0103] A=mC+b

[0104] Where A is the absorbance, C is the concentration, m and b are the slope and intercept obtained by solid line fitting;

[0105] S5. Data correction and normalization, remove any baseline shift in the spectra, adjust the spectra between different samples to ensure that they are compared on the same axis, and normalize to the maximum value:

[0106]

[0107] Adjust the data to a maximum value of 1;

[0108] Interval normalization:

[0109]

[0110] Normalize the data to the range of 0 to 1.

[0111] Dose calculation involves the following steps:

[0112] S1. Absorbed dose. Absorbed dose refers to the radiation energy absorbed by a unit mass of a substance. The formula is:

[0113]

[0114] Where: D is the absorbed dose, the unit is ash, 1 ash = 1 joule / kilogram; E is the radiation energy, the unit is joule; m is the mass of the substance, the unit is kilogram;

[0115] S2. Equivalent dose. Equivalent dose is the dose after considering the radiation quality factor. It is used to evaluate the biological effects of radiation on different tissues. The formula is:

[0116] H=D·Q

[0117] Where: H is the equivalent dose, the unit is sievert; D is the absorbed dose, the unit is ash; Q is the radiation quality factor;

[0118] S3. Effective dose. The effective dose takes into account the sensitivity of different tissues and is used to assess the risk of exposure to the entire body. The formula is:

[0119]

[0120] Where: E is the effective dose in sieverts; ωT is the tissue weight factor, which indicates the sensitivity of different tissues to radiation; H T is the equivalent dose to the tissue;

[0121] S4. Inhalation dose. For the calculation of inhalation dose of air pollutants, the calculation formula is:

[0122] Inhaled dose = C × IR × ED

[0123] Where: C is the concentration of pollutants in the air; IR is the inhalation rate; ED is the number of exposure days;

[0124] S5. Intake dose. Intake dose is usually used to assess the exposure to pollutants through vehicles and food. The formula is:

[0125] Intake dose = C × IR × ED

[0126] Where: C is the concentration of the pollutant in water or food; IR is the intake rate; ED is the number of exposure days.

[0127] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for detecting dosage of modified asphalt polymer for prebaked anode, characterized in that: include: Sample collection, collecting samples from different stages of the prebaked anode production line; Spectral scanning: using a detection instrument to perform spectral scanning on the sample to obtain spectral data of the sample; Data processing, by comparing with the established standard data set, extracting the characteristic spectral peaks related to the modified asphalt polymer; Dose calculation, based on the spectral response value and combined with the standard curve of the sample, calculate the specific dosage of the modified asphalt polymer.

2. The method for detecting dosage of modified asphalt polymer for prebaked anode according to claim 1, characterized in that: The sample collection comprises the following steps: S1. Determine the sampling time and frequency. According to the different stages of the production process, select appropriate sampling time points, including before raw material mixing, after the addition of modified asphalt polymer and after the final mixing. The samples before raw material mixing can reflect the properties of the raw materials themselves, after the addition of modified asphalt polymer can reflect the initial mixing of modified asphalt polymer and other components, and after the final mixing can represent the quality of the final product. Determine the sampling frequency according to the production scale and process control requirements; S2. Select sampling locations, including raw material warehouse sampling, mixing area sampling and production line sampling; S3. Prepare sampling tools and use tools suitable for the sample type, including but not limited to small shovels, sample bottles and sampling bags. Ensure that the tools are clean and free of contamination. If necessary, use automated sampling devices to improve the accuracy and repeatability of sampling and avoid deviations from manual operations. S4. Sampling method: for the collection of solid materials, samples should be obtained from different positions and depths as much as possible to ensure the uniformity of the samples. During the production process, the mixture may undergo certain changes. It is recommended to sample by time. When sampling, ensure that the samples come from all parts of the mixture, not just a fixed position, to avoid taking uneven parts. S5. Determine the sampling volume to ensure that the sample volume obtained each time is sufficient to meet the experimental requirements for subsequent analysis. The sampling volume each time is between 200g and 500g of sample; S6. Sample processing and storage. Samples should be processed as soon as possible after collection to ensure that they meet the requirements of the spectral scanner. After sampling, samples should be sealed in clean, uncontaminated containers and stored in a dry, cool place to avoid exposure to high temperature and humidity. S7. Record sampling information, including sampling time, location, production stage, sample number, batch number and other relevant identification, sampling tools and methods, and personnel information.

3. The method for detecting dosage of modified asphalt polymer for prebaked anode according to claim 1, characterized in that: The spectrum scanning comprises the following steps: S1. Preparation: Make sure the sample surface is clean to avoid stains or impurities that affect the scanning results. For solid samples, you may need to grind them finely; for liquid samples, make sure there are no bubbles. According to the instrument requirements, solid samples may need to be pressed into sheets or made into films; liquid samples usually need to be placed in a special cuvette. Then check the working status of the spectrometer, check whether the light source, detector, optical fiber and filter are normal, and calibrate the instrument as needed. S2. Set scanning parameters and select appropriate spectrum type, wavelength range and scanning parameters according to the characteristics of the measured sample; S3. Scan and start the spectrum scanning program. The instrument will automatically perform light source irradiation, sample-light interaction and light signal detection, generate spectrum data, and record the data files generated during the scanning process to ensure that all scan data are saved and can be traced back at any time; S4. Data processing: noise removal, qualitative analysis and quantitative analysis of the data; S5. Result analysis and reporting: Based on the spectral characteristics and quantitative analysis results, combined with the background information of the sample, scientific and reasonable conclusions are drawn and a detailed analysis report is written. To ensure the accuracy of the analysis, the scanning and analysis can be repeated multiple times to compare the consistency of the results; S6. End and clean up. Clean the optical path and sample chamber of the spectrometer to ensure that no sample residues contaminate the equipment to prevent it from affecting the next use. For liquid samples, clean the cuvette or other containers to maintain the long-term stability of the equipment.

4. The method for detecting dosage of modified asphalt polymer for prebaked anode according to claim 1, characterized in that: The data processing comprises the following steps: S1. Noise removal. Spectral data often contains certain noise. The spectral curve is smoothed by mathematical algorithms to remove high-frequency noise. The specific calculation formula is: Moving average method: smooth the curve by taking the average value of data within a certain range; Among them, S i is the smoothed data value, N is the size of the sliding window, X j is the original data value; S2. Background correction, the baseline is determined by fitting the bottom area of ​​the spectrum, and the calculation formula is: Y corrected =Y original -(aX+b) Where a and b are the parameters of the linear fit, and X and Y are the wavelength and intensity of the spectrum; S3. Peak recognition and qualitative analysis: By setting a threshold or finding a local extreme point, the characteristic peak in the spectrum is identified, and the significance of the peak is evaluated by calculating the ratio of the peak to the noise. The calculation formula of the signal-to-noise ratio is: Among them, A peak is the height of the peak, σ noise is the standard deviation of the noise; S4. Quantitative analysis, by linear regression fitting standard curve, the formula is: A=mC+b Where A is the absorbance, C is the concentration, m and b are the slope and intercept obtained by solid line fitting; S5. Data correction and normalization, remove any baseline shift in the spectra, adjust the spectra between different samples to ensure that they are compared on the same axis, and normalize to the maximum value: Adjust the data to a maximum value of 1; Interval normalization: Normalize the data to the range of 0 to 1.

5. The method for detecting dosage of modified asphalt polymer for prebaked anode according to claim 1, characterized in that: The dose calculation comprises the following steps: S1. Absorbed dose. Absorbed dose refers to the radiation energy absorbed by a unit mass of a substance. The formula is: Where: D is the absorbed dose, the unit is ash, 1 ash = 1 joule / kilogram; E is the radiation energy, the unit is joule; m is the mass of the substance, the unit is kilogram; S2. Equivalent dose. Equivalent dose is the dose after considering the radiation quality factor. It is used to evaluate the biological effects of radiation on different tissues. The formula is: H=D·Q Where: H is the equivalent dose, the unit is sievert; D is the absorbed dose, the unit is ash; Q is the radiation quality factor; S3. Effective dose. The effective dose takes into account the sensitivity of different tissues and is used to assess the risk of exposure to the entire body. The formula is: Where: E is the effective dose, the unit is sievert; ω T H is the tissue weight factor, which indicates the sensitivity of different tissues to radiation; T is the equivalent dose to the tissue; S4. Inhalation dose. For the calculation of inhalation dose of air pollutants, the calculation formula is: Inhaled dose = C × IR × ED Where: C is the concentration of pollutants in the air; IR is the inhalation rate; ED is the number of exposure days; S5. Intake dose. Intake dose is usually used to assess the exposure to pollutants through vehicles and food. The formula is: Intake dose = C × IR × ED Where: C is the concentration of the pollutant in water or food; IR is the intake rate; ED is the number of exposure days.

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