An online detection method for magnetic substances in the preparation process of lithium iron phosphate

Abstract

The invention discloses an online detection method for magnetic substances in a lithium iron phosphate preparation process, and relates to the field of magnetic substance detection. The online detection method for magnetic substances in a lithium iron phosphate preparation process obtains the number of preparation stages of lithium iron phosphate and the magnetic substance data of each preparation stage; for each preparation stage, the magnetic substance concentration index, the magnetic substance uniformity index, the magnetic substance particle size distribution index, the magnetic strength index, and the magnetic substance morphology index are analyzed based on the magnetic substance data; based on the magnetic substance concentration index, the magnetic substance uniformity index, the magnetic substance particle size distribution index, the magnetic strength index, and the magnetic substance morphology index, a comprehensive analysis is performed to obtain the comprehensive detection index of the magnetic substance in each preparation stage. The invention allows timely adjustment of the production process through real-time online monitoring and comprehensive analysis of key indicators of magnetic substances, thereby greatly improving production efficiency.

Description

Technical Field

[0001] The present invention relates to the field of magnetic material detection, and in particular to an online detection method for magnetic materials in a lithium iron phosphate preparation process. Background Art

[0002] Lithium iron phosphate (LiFePO4), as an important lithium-ion battery material, is widely used in electric vehicles and portable electronic devices due to its excellent thermal stability, long life and environmental friendliness. However, during the preparation of lithium iron phosphate, the presence of magnetic impurities may seriously affect the battery performance, including its charging efficiency and life. Magnetic impurities usually come from raw materials or equipment wear during the production process. Their distribution in battery materials will not only affect the electrochemical performance of the battery, but may also cause safety problems such as internal short circuits during battery operation.

[0003] Therefore, with the development of battery technology and the improvement of market requirements for battery performance, the development of an online detection method for magnetic substances in the preparation process of lithium iron phosphate will provide important technical support for improving the quality control and production efficiency of battery materials, while also helping to reduce costs and improve battery performance and safety.

[0004] Prior art, such as the invention patent application with announcement number: CN116773755B, discloses an online detection method and device for magnetic substances in the lithium iron phosphate preparation process, including: in response to the startup information of the lithium iron phosphate preparation process, obtaining the initial magnetic substance content of the lithium iron phosphate preparation material before passing through the material device; obtaining the demagnetization capacity information of the target demagnetization device; wherein the target demagnetization device is set at a preset position of the material device, and is used to adsorb the magnetic substances in the lithium iron phosphate preparation material passing through the material device; the demagnetization capacity information includes at least one of the following information: the adsorption volume, adsorption distance and adsorption flow rate of the magnetic substance; based on the initial magnetic substance content and the demagnetization capacity information, the flow magnetic substance content of the lithium iron phosphate preparation material after passing through the material device is detected. Through the above method, the complexity of the offline detection that requires multiple sampling and detection using a special detection device is solved, and the detection efficiency of magnetic substances is greatly improved.

[0005] Based on the above solution, it is found that the limitations of the existing technology include at least the following problems: the traditional detection method lacks real-time and continuous detection capabilities, which makes it difficult to respond to problems in the production process in a timely manner, thus affecting the overall efficiency and product quality. Secondly, the multi-dimensional data analysis of magnetic materials is not comprehensive enough, usually only focusing on a few indicators, and not making full use of the concentration, uniformity, particle size distribution and other data of magnetic materials for comprehensive evaluation, which limits the ability to fully understand the properties of materials. Finally, the lack of a data-driven dynamic production adjustment mechanism makes the production process lack flexibility and adaptability, making it difficult to optimize production conditions based on real-time data and improve resource utilization and product consistency. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides an online detection method for magnetic materials in the lithium iron phosphate preparation process, which solves the problem that traditional detection methods lack real-time and continuous detection capabilities, resulting in difficulty in timely responding to problems arising in the production process, thereby affecting the overall efficiency and product quality. Secondly, the multi-dimensional data analysis of magnetic materials is not comprehensive enough, usually only focusing on a few indicators, and not making full use of various data such as concentration, uniformity, and particle size distribution of magnetic materials for comprehensive evaluation, which limits the ability to fully understand the properties of materials. Finally, the lack of a data-driven dynamic production adjustment mechanism makes the production process lack flexibility and adaptability, making it difficult to optimize production conditions according to real-time data and improve resource utilization and product consistency.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: an online detection method for magnetic substances in the lithium iron phosphate preparation process, comprising the following steps: obtaining the number of preparation stages of lithium iron phosphate and the magnetic substance data of each preparation stage; for each preparation stage, analyzing the magnetic substance concentration index, magnetic substance uniformity index, magnetic substance particle size distribution index, magnetic strength index, and magnetic substance morphology index based on the magnetic substance data; performing a comprehensive analysis based on the magnetic substance concentration index, magnetic substance uniformity index, magnetic substance particle size distribution index, magnetic strength index, and magnetic substance morphology index to obtain the comprehensive detection index of the magnetic substance in each preparation stage; and judging whether the comprehensive detection index of the magnetic substance in each preparation stage meets the expected standard according to the preset stage magnetic substance detection threshold, and taking corresponding measures.

[0008] Furthermore, the magnetic material data includes the total mass of the magnetic material, the total mass of the lithium iron phosphate sample, the high-resolution image data of the lithium iron phosphate sample, the total number of magnetic particles in the lithium iron phosphate sample, and the particle size value, volume value, cross-sectional area value, circumference value and magnetic moment value of each magnetic particle, and the high-resolution image data of the lithium iron phosphate sample contains the grayscale value of each pixel in the image.

[0009] Furthermore, the specific steps for obtaining the comprehensive detection index of the magnetic material in each preparation stage are as follows: for each preparation stage, the magnetic material concentration index, magnetic material uniformity index, magnetic material particle size distribution index, magnetic strength index, and magnetic material morphology index obtained by analysis are read respectively, and normalized; based on the normalized magnetic material concentration index, magnetic material uniformity index, magnetic material particle size distribution index, magnetic strength index, and magnetic material morphology index, a comprehensive analysis is performed to obtain the comprehensive detection index of the magnetic material in each preparation stage.

[0010] Furthermore, the specific formula for calculating the comprehensive detection index of magnetic materials in each preparation stage is as follows: ;in, For the Comprehensive detection indicators of magnetic materials in each preparation stage, After normalization The concentration index of magnetic material in each preparation stage, For the preset The weighting coefficient of the concentration index of magnetic substances in each preparation stage, After normalization The uniformity index of magnetic materials in each preparation stage, For the preset The weighted coefficient of the uniformity index of the magnetic material in each preparation stage, After normalization The particle size distribution index of magnetic materials in each preparation stage, For the preset The weighted coefficient of the particle size distribution index of the magnetic material in each preparation stage, After normalization The magnetic strength index of each preparation stage, For the preset The weighting coefficient of the magnetic strength index of each preparation stage, After normalization The morphological index of magnetic materials in each preparation stage, For the preset The weighted coefficients of the morphological indicators of magnetic materials at each preparation stage, is a natural constant, is the circumference of a circle, , , is the number of preparation stages of lithium iron phosphate.

[0011] Furthermore, the specific steps for analyzing the concentration index of the magnetic material in each preparation stage are as follows: for each preparation stage, the total mass of the magnetic material and the total mass of the lithium iron phosphate sample are read respectively, and a ratio analysis is performed to obtain the concentration index of the magnetic material in each preparation stage.

[0012] Furthermore, the specific steps for analyzing the uniformity index of the magnetic material at each preparation stage are as follows: respectively read the grayscale value of each pixel in the high-resolution image of the lithium iron phosphate sample at each preparation stage; respectively convert the grayscale value of each pixel into the corresponding magnetic material concentration value based on the preset gray-concentration conversion coefficient stored in the database; respectively conduct a comprehensive analysis of the magnetic material concentration value of each pixel in the high-resolution image of the lithium iron phosphate sample at each preparation stage to obtain the uniformity index of the magnetic material at each preparation stage, and the calculation formula is as follows: ;in, For the The uniformity index of magnetic materials in each preparation stage, For the High-resolution image of lithium iron phosphate sample at the preparation stage The concentration value of magnetic material at each pixel point, , is the number of preparation stages of lithium iron phosphate, , is the number of pixels in the high-resolution image of the lithium iron phosphate sample.

[0013] Furthermore, the specific steps for analyzing the particle size distribution index of the magnetic material in each preparation stage are as follows: for each preparation stage, the total number of magnetic particles and the particle size value of each magnetic particle in the lithium iron phosphate sample are read respectively, and the magnetic particle size range and the number of magnetic particles in each particle size range are analyzed; based on the magnetic particle size range and the number of magnetic particles in each particle size range, the proportion of each magnetic particle size range in the total number of magnetic particles is analyzed; based on the total number of magnetic particles in the lithium iron phosphate sample, the magnetic particle size range, the number of magnetic particles in each particle size range, and the proportion of each magnetic particle size range in the total number of magnetic particles, a comprehensive analysis is performed to obtain the particle size distribution index of the magnetic material in each preparation stage, and the calculation formula is as follows: ;in, For the The particle size distribution index of magnetic materials in each preparation stage, For the The first stage of preparation The particle size value of the magnetic particle size interval, For the The first stage of preparation The proportion of the magnetic particle size range in the total number of magnetic particles, For the The first stage of preparation The number of magnetic particles in each magnetic particle size range, , is the number of preparation stages of lithium iron phosphate, , is the number of particle size intervals.

[0014] Furthermore, the specific steps for analyzing the magnetic strength index of each preparation stage are as follows: for each preparation stage, the volume value and magnetic moment value of each magnetic particle in the lithium iron phosphate sample are read respectively, and the magnetization intensity value of each magnetic particle is analyzed; the magnetization intensity value of each magnetic particle in each preparation stage is comprehensively analyzed respectively to obtain the magnetic strength index of each preparation stage.

[0015] Furthermore, the specific steps for analyzing the morphological indicators of the magnetic material in each preparation stage are as follows: respectively read the cross-sectional area value and the circumference value of each magnetic particle in the lithium iron phosphate sample in each preparation stage, and analyze the shape factor of each magnetic particle; respectively conduct a comprehensive analysis on the shape factor of each magnetic particle in each preparation stage to obtain the morphological indicators of the magnetic material in each preparation stage.

[0016] Furthermore, the specific process of judging whether the comprehensive detection index of magnetic materials in each stage meets the expected standards according to the preset magnetic material detection threshold and taking corresponding measures is as follows: judging whether the comprehensive detection index of magnetic materials in the current preparation stage meets the preset magnetic material detection threshold of the current stage; if the comprehensive detection index of magnetic materials in the current preparation stage meets the preset magnetic material detection threshold of the current stage, sending the next stage preparation instruction and repeating the detection steps until the preparation of lithium iron phosphate is completed; if the comprehensive detection index of magnetic materials in the current preparation stage does not meet the preset magnetic material detection threshold of the current stage, sending the stop preparation instruction and notifying the relevant staff.

[0017] The present invention has the following beneficial effects:

[0018] (1) The online detection method of magnetic substances in the lithium iron phosphate preparation process allows timely adjustment of the production process through real-time online monitoring and comprehensive analysis of key indicators of magnetic substances, thereby greatly improving production efficiency. In addition, by accurately controlling the concentration of magnetic substances and other key parameters at each stage, it is possible to ensure the consistency and quality of the products, reduce the generation of defective products, thereby saving costs and improving the market competitiveness of the products.

[0019] (2) The online detection method of magnetic materials in the lithium iron phosphate preparation process enhances the adaptability and flexibility of the preparation process by comprehensively evaluating the magnetic materials at each stage and making corresponding production adjustments based on preset thresholds. This dynamic adjustment mechanism allows real-time optimization of production conditions and has a high degree of adaptability to changes in raw material batches, changes in environmental factors, etc.

[0020] (3) The online detection method of magnetic substances in the lithium iron phosphate preparation process can timely adjust the preparation parameters or stop production to avoid greater quality problems by real-time monitoring of the concentration and distribution of magnetic substances. This not only reduces production risks, but also improves the company's response speed and flexibility to the market.

[0021] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 The present invention is a flow chart of an online detection method for magnetic substances in a lithium iron phosphate preparation process.

[0023] Figure 2 The present invention is a flowchart of the specific steps for obtaining the comprehensive detection index of magnetic material in each preparation stage in an online detection method of magnetic material in a lithium iron phosphate preparation process.

[0024] Figure 3 The present invention is a flowchart of the specific steps for analyzing the magnetic strength index of each preparation stage in an online detection method of magnetic materials in a lithium iron phosphate preparation process. DETAILED DESCRIPTION

[0025] The embodiment of the present application solves the problem that traditional detection methods lack real-time and continuous detection capabilities through an online detection method for magnetic materials in the lithium iron phosphate preparation process, which makes it difficult to respond to problems arising in the production process in a timely manner, thereby affecting the overall efficiency and product quality. Secondly, the multi-dimensional data analysis of magnetic materials is not comprehensive enough, and usually only focuses on a few indicators. It does not fully utilize the concentration, uniformity, particle size distribution and other data of magnetic materials for comprehensive evaluation, which limits the ability to fully understand the properties of materials. Finally, the lack of a data-driven dynamic production adjustment mechanism makes the production process lack flexibility and adaptability, making it difficult to optimize production conditions according to real-time data and improve resource utilization and product consistency.

[0026] The overall idea of ​​the problem in the embodiment of this application is as follows:

[0027] First, the relevant magnetic material data of each preparation stage of lithium iron phosphate are collected, including the total mass of the magnetic material, the total mass of the sample, high-resolution image data, and specific parameters such as the particle size, volume, cross-sectional area, circumference and magnetic moment of each magnetic particle. In the data analysis stage: the acquired data are analyzed in detail, and the concentration, uniformity, particle size distribution, magnetic strength and morphology of the magnetic material in each preparation stage are calculated, and these indicators are normalized. Then, a comprehensive analysis is performed based on the normalized indicators to obtain the comprehensive detection indicators of the magnetic material in each stage. The qualified status of each stage is judged according to the preset stage-by-stage magnetic material detection threshold. If a stage does not meet the preset standards, corresponding adjustment or correction measures are taken.

[0028] See also Figure 1 The embodiment of the present invention provides a technical solution: an online detection method for magnetic materials in the lithium iron phosphate preparation process, comprising the following steps: obtaining the number of preparation stages of lithium iron phosphate and the magnetic material data of each preparation stage; for each preparation stage, analyzing the magnetic material concentration index, the magnetic material uniformity index, the magnetic material particle size distribution index, the magnetic strength index, and the magnetic material morphology index based on the magnetic material data; performing a comprehensive analysis based on the magnetic material concentration index, the magnetic material uniformity index, the magnetic material particle size distribution index, the magnetic strength index, and the magnetic material morphology index to obtain the comprehensive detection index of the magnetic material in each preparation stage; and judging whether the comprehensive detection index of the magnetic material in each preparation stage meets the expected standard according to the preset stage magnetic material detection threshold, and taking corresponding measures.

[0029] The magnetic material data include the total mass of magnetic materials measured by inductively coupled plasma mass spectrometry ICP-MS, the total mass of lithium iron phosphate samples measured by using a precision electronic balance, the high-resolution image data of lithium iron phosphate samples obtained by using SEM, and the total number of magnetic particles in the lithium iron phosphate samples counted by the image analysis software ImageJ. These images are expressed in the form of grayscale values, where the grayscale level of each pixel point, usually ranging from 0 to 255, represents the electron density of the point, the particle size value, volume value, cross-sectional area value, circumference value of each magnetic particle is obtained by using SEM, and the magnetic moment value is obtained by using a vibrating sample magnetometer VSM. The high-resolution image data of lithium iron phosphate samples contains the grayscale value of each pixel point in the image.

[0030] Specifically, Figure 2As shown, the specific steps for obtaining the comprehensive detection index of the magnetic material in each preparation stage are as follows: for each preparation stage, the magnetic material concentration index, magnetic material uniformity index, magnetic material particle size distribution index, magnetic strength index, and magnetic material morphology index obtained by analysis are read respectively, and normalized; based on the normalized magnetic material concentration index, magnetic material uniformity index, magnetic material particle size distribution index, magnetic strength index, and magnetic material morphology index, a comprehensive analysis is performed to obtain the comprehensive detection index of the magnetic material in each preparation stage.

[0031] The specific formula for calculating the comprehensive detection index of magnetic materials at each preparation stage is as follows: ;in, For the Comprehensive detection indicators of magnetic materials in each preparation stage, After normalization The concentration index of magnetic material in each preparation stage, The preset number stored in the database The weighting coefficient of the concentration index of magnetic substances in each preparation stage, After normalization The uniformity index of magnetic materials in each preparation stage, The preset number stored in the database The weighted coefficient of the uniformity index of the magnetic material in each preparation stage, After normalization The particle size distribution index of magnetic materials in each preparation stage, The preset number stored in the database The weighted coefficient of the particle size distribution index of the magnetic material in each preparation stage, After normalization The magnetic strength index of each preparation stage, The preset number stored in the database The weighting coefficient of the magnetic strength index of each preparation stage, After normalization The morphological index of magnetic materials in each preparation stage, The preset number stored in the database The weighted coefficients of the morphological indicators of magnetic materials at each preparation stage, is a natural constant, is the circumference of a circle, , , is the number of preparation stages of lithium iron phosphate; This item indicates the logarithmic transformation of the magnetic material concentration index. Its purpose is to reduce the impact of the higher magnetic material concentration index on the comprehensive detection index of magnetic materials. This item represents the square root transformation of the uniformity index of magnetic materials. Its purpose is to increase the influence of the uniformity index of magnetic materials with lower values ​​on the comprehensive detection index of magnetic materials. This term represents the exponential function of the particle size distribution index of the magnetic material. Its purpose is to emphasize the deviation of the distribution. This term represents the logistic regression function of the magnetic intensity index, and its purpose is to smooth out extreme values. This item represents the sinusoidal transformation of the morphological index of magnetic materials. Its purpose is to emphasize the influence of the periodic changes of the morphological index of magnetic materials on the comprehensive detection index of magnetic materials.

[0032] Among them, the preset process of the weighted coefficient of each indicator in each preparation stage is specifically as follows: for each preparation stage, the normalized standard magnetic material concentration standard indicator, magnetic material uniformity standard indicator, magnetic material particle size distribution standard indicator, magnetic strength standard indicator, and magnetic material morphology standard indicator are summed to obtain the magnetic material indicator and value, and the normalized standard magnetic material concentration standard indicator, magnetic material uniformity standard indicator, magnetic material particle size distribution standard indicator, magnetic strength standard indicator, and magnetic material morphology standard indicator are respectively ratio-calculated with the magnetic material indicator and value, and the ratio result is used as the weighted coefficient of the corresponding indicator.

[0033] Among them, The calculation data of comprehensive detection index of magnetic materials in each preparation stage are shown in the following table:

[0034] Table 1 Example of calculation data of comprehensive detection index of magnetic materials in each preparation stage

[0035]

[0036] In Table 1, After normalization The concentration index of magnetic material in each preparation stage, For the preset The weighting coefficient of the concentration index of magnetic substances in each preparation stage, After normalization The uniformity index of magnetic materials in each preparation stage, For the preset The weighted coefficient of the uniformity index of the magnetic material in each preparation stage, After normalization The particle size distribution index of magnetic materials in each preparation stage, For the preset The weighted coefficient of the particle size distribution index of the magnetic material in each preparation stage, After normalization The magnetic strength index of each preparation stage, For the preset The weighting coefficient of the magnetic strength index of each preparation stage, After normalization The morphological index of magnetic materials in each preparation stage, For the preset The weighted coefficients of the morphological indicators of magnetic materials at each preparation stage, For the Comprehensive detection indicators of magnetic materials in each preparation stage.

[0037] The first set of data: after normalization The concentration index of magnetic material in the first preparation stage is: 0.34; the preset The weighting coefficient of the concentration index of magnetic substances in the first preparation stage is: 0.20; The uniformity index of the magnetic material in the first preparation stage is: 0.73; The weighting coefficient of the uniformity index of the magnetic material in the first preparation stage is: 0.25; The particle size distribution index of the magnetic material in the first preparation stage is: 0.29; the preset The weighting coefficient of the particle size distribution index of the magnetic material in the first preparation stage is: 0.15; The magnetic strength index of the first preparation stage is: 0.85; the preset The weighting coefficient of the magnetic strength index of the first preparation stage is: 0.30; The morphological index of the magnetic material in the first preparation stage is: 0.12; the preset The weighting coefficients of the morphological indexes of magnetic materials in the first preparation stage are: 0.10; The comprehensive detection index of magnetic materials in each preparation stage is approximately: 0.72.

[0038] The second set of data: after normalization The concentration index of magnetic material in the first preparation stage is: 0.65; the preset The weighting coefficient of the concentration index of magnetic substances in the first preparation stage is: 0.25; The uniformity index of the magnetic material in the first preparation stage is: 0.22; The weighted coefficient of the uniformity index of the magnetic material in the first preparation stage is: 0.15; The particle size distribution index of the magnetic material in the first preparation stage is: 0.58; The weighting coefficient of the particle size distribution index of the magnetic material in the first preparation stage is: 0.20; The magnetic strength index of the first preparation stage is: 0.77; the preset The weighting coefficient of the magnetic strength index of the first preparation stage is: 0.20; The morphological index of the magnetic material in the first preparation stage is: 0.68; the preset The weighting coefficients of the morphological indexes of magnetic materials in the first preparation stage are: 0.20; The comprehensive detection index of magnetic materials in each preparation stage is approximately: 0.86.

[0039] The third set of data: after normalization The concentration index of magnetic material in the first preparation stage is: 0.45; the preset The weighting coefficient of the concentration index of magnetic substances in the first preparation stage is: 0.15; The uniformity index of the magnetic material in the first preparation stage is: 0.95; The weighted coefficient of the uniformity index of the magnetic material in the first preparation stage is: 0.30; The particle size distribution index of the magnetic material in the first preparation stage is: 0.65; the preset The weighting coefficient of the particle size distribution index of the magnetic material in the first preparation stage is: 0.25; The magnetic strength index of the first preparation stage is: 0.35; the preset The weighting coefficient of the magnetic strength index of the first preparation stage is: 0.15; The morphological index of the magnetic material in the first preparation stage is: 0.50; the preset The weighting coefficients of the morphological indexes of magnetic materials in the first preparation stage are: 0.15; The comprehensive detection index of magnetic materials in each preparation stage is approximately: 1.07.

[0040] The fourth set of data: after normalization The concentration index of magnetic material in the first preparation stage is: 0.20; the preset The weighting coefficient of the concentration index of magnetic substances in the first preparation stage is: 0.10; The uniformity index of the magnetic material in the first preparation stage is: 0.40; The weighted coefficient of the uniformity index of the magnetic material in the first preparation stage is: 0.20; The particle size distribution index of the magnetic material in the first preparation stage is: 0.75; the preset The weighted coefficient of the particle size distribution index of the magnetic material in the first preparation stage is: 0.30; The magnetic strength index of the first preparation stage is: 0.60; the preset The weighting coefficient of the magnetic strength index of the first preparation stage is: 0.25; The morphological index of the magnetic material in the first preparation stage is: 0.25; the preset The weighting coefficients of the morphological indexes of magnetic materials in the first preparation stage are: 0.15; The comprehensive detection index of magnetic materials in each preparation stage is approximately: 1.05.

[0041] The fifth set of data: The concentration index of magnetic material in the first preparation stage is: 0.80; the preset The weighted coefficient of the concentration index of magnetic substances in the first preparation stage is: 0.30; The uniformity index of the magnetic material in the first preparation stage is: 0.55; The weighting coefficient of the uniformity index of the magnetic material in the first preparation stage is: 0.10; The particle size distribution index of the magnetic material in the first preparation stage is: 0.40; the preset The weighting coefficient of the particle size distribution index of the magnetic material in the first preparation stage is: 0.15; The magnetic strength index of the first preparation stage is: 0.25; the preset The weighting coefficient of the magnetic strength index of the first preparation stage is: 0.10; The morphological index of the magnetic material in the first preparation stage is: 0.90; the preset The weighting coefficients of the morphological indexes of magnetic materials in the first preparation stage are: 0.35; The comprehensive detection index of magnetic materials in each preparation stage is approximately: 0.64.

[0042] In this embodiment, through the comprehensive analysis of different magnetic material indicators, the characteristics of magnetic materials in each stage can be more accurately reflected. This method not only improves the flexibility of detection, but also makes it possible to process highly heterogeneous samples. Based on the results of the comprehensive detection indicators, the preparation process can be adjusted in time, such as adjusting the chemical reaction conditions, temperature or time, etc., to ensure that the quality of each batch of products meets the standards. Through dynamic adjustment, the control level and yield of the production process are significantly improved. Normalization and weighted processing ensure the fairness and scientificity of various indicators in the evaluation process, which helps to comprehensively evaluate the quality of each preparation stage. The indicator threshold setting and instant feedback mechanism at each stage can detect problems in time and take measures to ensure the consistency and reliability of the final product.

[0043] Specifically, the specific steps for analyzing the concentration index of the magnetic material in each preparation stage are as follows: for each preparation stage, the total mass of the magnetic material and the total mass of the lithium iron phosphate sample are read respectively, and a ratio analysis is performed to obtain the concentration index of the magnetic material in each preparation stage, and the calculation formula is as follows: ;in, For the The concentration index of magnetic material in each preparation stage, and the unit is , For the The total mass of magnetic material in the preparation stage, and the unit is , For the The total mass of lithium iron phosphate samples in each preparation stage, in kilograms, , is the number of preparation stages of lithium iron phosphate.

[0044] In this embodiment, by accurately measuring the total mass of the magnetic material and lithium iron phosphate samples at each stage, the deviation of the data can be reduced and the reliability of the measurement results can be improved. The ratio analysis method is simple and clear, easy to implement and standardize, which helps to unify the measurement standards at different stages. The real-time acquisition of magnetic material concentration data helps to monitor the changes in magnetic contamination during the production process and adjust the preparation parameters in time to control the content of magnetic materials. Continuous monitoring of the production process can detect problems in time, thereby reducing production delays and defective product rates. By quantitatively analyzing the concentration of magnetic materials, the influence of different preparation stages on the concentration of magnetic materials can be better understood, thereby optimizing related chemical formulas and process parameters, helping manufacturers to accurately control the content of magnetic materials in products and ensure that product performance and safety meet industry standards. Accurate control of magnetic materials can ensure the performance consistency and reliability of the final product, especially in applications where battery performance is extremely sensitive to magnetic impurities. Strict control of magnetic materials helps to improve the competitiveness of products in the market and meet higher customer needs.

[0045] Specifically, the specific steps for analyzing the uniformity index of the magnetic material at each preparation stage are as follows: respectively read the gray value of each pixel in the high-resolution image of the lithium iron phosphate sample at each preparation stage; respectively convert the gray value of each pixel into the corresponding magnetic material concentration value based on the preset gray-concentration conversion coefficient stored in the database; respectively conduct a comprehensive analysis of the magnetic material concentration value of each pixel in the high-resolution image of the lithium iron phosphate sample at each preparation stage to obtain the uniformity index of the magnetic material at each preparation stage, and the calculation formula is as follows: ;in, For the The uniformity index of magnetic materials in each preparation stage, For the High-resolution image of lithium iron phosphate sample at the preparation stage The concentration value of magnetic material at each pixel point, , is the number of preparation stages of lithium iron phosphate, , is the number of pixels in the high-resolution image of the lithium iron phosphate sample.

[0046] In this embodiment, by accurately measuring the concentration of magnetic material at each pixel point, the distribution of magnetic material in the material can be carefully monitored. This method provides more accurate data than traditional methods, which helps to better control and optimize the uniformity of magnetic material in the preparation process. Real-time monitoring of the uniformity of magnetic material concentration helps to promptly discover uneven distribution problems in production and take measures to make adjustments. This monitoring method can significantly improve product quality and reduce performance problems caused by uneven distribution of magnetic material. By optimizing the uniformity of the distribution of magnetic material, the utilization rate of materials can be improved and costs can be reduced. At the same time, rework and scrap caused by quality problems can be reduced, thereby improving production efficiency and economy.

[0047] Specifically, the specific steps for analyzing the particle size distribution index of the magnetic material in each preparation stage are as follows: for each preparation stage, the total number of magnetic particles and the particle size value of each magnetic particle in the lithium iron phosphate sample are read respectively, and the magnetic particle size interval and the number of magnetic particles in each particle size interval are analyzed; based on the magnetic particle size interval and the number of magnetic particles in each particle size interval, the proportion of each magnetic particle size interval in the total number of magnetic particles is analyzed; based on the total number of magnetic particles in the lithium iron phosphate sample, the magnetic particle size interval, the number of magnetic particles in each particle size interval, and the proportion of each magnetic particle size interval in the total number of magnetic particles, a comprehensive analysis is performed to obtain the particle size distribution index of the magnetic material in each preparation stage, and the calculation formula is as follows: ;in, For the The particle size distribution index of magnetic materials in each preparation stage, For the The first stage of preparation The particle size value of the magnetic particle size interval, For the The first stage of preparation The proportion of the magnetic particle size range in the total number of magnetic particles, For the The first stage of preparation The number of magnetic particles in each magnetic particle size range, , is the number of preparation stages of lithium iron phosphate, , is the number of particle size intervals.

[0048] In this embodiment, by analyzing in detail the proportion of particles in each particle size range, the particle size distribution of the magnetic material can be more accurately controlled and optimized, which is crucial to improving the performance and quality of the final product. The particle size distribution has a direct impact on many performance parameters, such as electrochemical properties and mechanical stability. By optimizing the particle size distribution, the performance of the product can be directly improved. Accurate particle size control can reduce waste in the production process and improve material utilization, thereby reducing costs and improving production efficiency. By real-time monitoring of the particle size distribution of the magnetic material, production parameters can be adjusted immediately to ensure that the output of each stage meets the predetermined quality standards. The detailed particle size distribution data provided supports scientific decision-making and helps the production management team adjust production strategies and optimize process flows based on actual data. Through detailed particle size analysis, potential quality problems can be identified in advance and preventive measures can be taken, thereby reducing rework and defective products and reducing production risks.

[0049] Specifically, Figure 3 As shown, the specific steps for analyzing the magnetic strength index of each preparation stage are as follows: for each preparation stage, the volume value and magnetic moment value of each magnetic particle in the lithium iron phosphate sample are read respectively, and the magnetization intensity value of each magnetic particle is analyzed; the magnetization intensity value of each magnetic particle in each preparation stage is comprehensively analyzed respectively to obtain the magnetic strength index of each preparation stage, and the calculation formula is as follows: ;in, For the The magnetic strength index of each preparation stage, For the The first stage of preparation The magnetic moment of a magnetic particle, For the The first stage of preparation The volume value of magnetic particles, , is the number of preparation stages of lithium iron phosphate, , is the number of magnetic particles, and for each magnetic particle, the volume value is calculated using an approximately spherical particle, wherein the radius of the spherical particle is calculated using the average of the longest diameter and the shortest diameter of the particle.

[0050] In this embodiment, by accurately measuring the magnetic moment and volume of each particle, very accurate magnetization intensity data can be obtained, which is crucial to understanding the magnetic behavior of the material. Magnetization intensity is a key parameter that affects the application performance of magnetic materials. Accurate measurement and control can directly affect the performance of the battery, especially in magnetically sensitive applications. By monitoring and controlling the magnetization intensity, the preparation process can be optimized, unnecessary material waste can be reduced, and production efficiency can be improved. Detailed magnetic data can help researchers better understand and optimize the magnetic properties of lithium iron phosphate materials, which is of great value for scientific research and industrial applications. Real-time monitoring of magnetic intensity indicators can be used as part of production quality control to ensure that each batch of products meets high-standard performance requirements. Through refined magnetic intensity analysis, the in-depth development of materials science, especially magnetic materials research, is promoted, and a theoretical and experimental basis is provided for the development of new magnetic materials.

[0051] Specifically, the specific steps for analyzing the morphological index of the magnetic material at each preparation stage are as follows: respectively read the cross-sectional area value and the perimeter value of each magnetic particle in the lithium iron phosphate sample at each preparation stage, and analyze the shape factor of each magnetic particle; respectively conduct a comprehensive analysis on the shape factor of each magnetic particle at each preparation stage to obtain the morphological index of the magnetic material at each preparation stage, and the calculation formula is as follows: ;in, For the The morphological index of magnetic materials in each preparation stage, For the The first stage of preparation The cross-sectional area of ​​the magnetic particles is For the The first stage of preparation The circumference of a magnetic particle, is the circumference of a circle, , is the number of preparation stages of lithium iron phosphate, , is the number of magnetic particles.

[0052] In this embodiment, the calculation of the shape factor provides accurate information about the morphology of the magnetic particles, which is very important for understanding the handling and performance of the material. The optimization of morphological indicators helps to improve the electrochemical properties of lithium iron phosphate materials, because the particle shape and size directly affect the charge and discharge characteristics of the battery. By monitoring the morphological indicators, the consistency and quality of the materials in the production process can be guaranteed, especially for the performance stability of magnetic materials, which is crucial. The comprehensive analysis of morphological indicators makes the manufacturing process more refined, helps to standardize production, and ensures that each batch of materials meets high standards. Accurate morphological analysis provides data for in-depth understanding of material behavior, supports the research and development of new materials and the improvement of existing materials, and in-depth research and control of morphological indicators help solve technical problems about the influence of particle size and shape on the performance of magnetic materials. Especially in the manufacture of high-performance batteries, the optimization of particle morphology is directly related to the energy density and life of the battery.

[0053] Specifically, the specific process of judging whether the comprehensive detection index of magnetic materials in each stage meets the expected standards according to the preset magnetic material detection threshold and taking corresponding measures is as follows: judging whether the comprehensive detection index of magnetic materials in the current preparation stage meets the preset magnetic material detection threshold of the current stage; if the comprehensive detection index of magnetic materials in the current preparation stage meets the preset magnetic material detection threshold of the current stage, sending the next stage preparation instruction and repeating the detection steps until the preparation of lithium iron phosphate is completed; if the comprehensive detection index of magnetic materials in the current preparation stage does not meet the preset magnetic material detection threshold of the current stage, sending the stop preparation instruction and notifying the relevant staff.

[0054] In this implementation scheme, the automated decision-making process reduces manual intervention, speeds up preparation, ensures the continuity of the production process, ensures that products at each stage meet preset quality standards through precise control and instant adjustment, reduces the generation of defective products, and allows for rapid identification and resolution of production problems with real-time monitoring and automatic feedback mechanisms, greatly reducing risks and potential costs. This step provides a systematic approach to monitoring and managing the production process, optimizes the production process through a data-driven decision support system, improves the quality assurance capabilities of the entire production chain through the implementation of quality control measures based on real-time data, and supports continuous improvement of the manufacturing process through continuous data recording and analysis, optimizing production parameters and threshold settings through repeated iterations.

[0055] In summary, this application has at least the following effects:

[0056] Real-time online monitoring and comprehensive analysis of key indicators of magnetic materials allow timely adjustment of the production process, thereby greatly improving production efficiency. In addition, by precisely controlling the concentration of magnetic materials and other key parameters at each stage, it is possible to ensure product consistency and quality, reduce the generation of defective products, thereby saving costs and improving product market competitiveness.

[0057] The adaptability and flexibility of the preparation process are enhanced by comprehensively evaluating the magnetic materials at each stage and making corresponding production adjustments based on preset thresholds. This dynamic adjustment mechanism allows real-time optimization of production conditions and is highly adaptable to changes in raw material batches, changes in environmental factors, etc.

[0058] By real-time monitoring of the concentration and distribution of magnetic materials, preparation parameters can be adjusted or production can be stopped in a timely manner to avoid greater quality problems. This not only reduces production risks, but also improves the company's response speed and flexibility to the market.

[0059] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0060] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An online detection method for magnetic substances in the lithium iron phosphate preparation process, characterized in that: The following steps are involved: Obtain the number of preparation stages of lithium iron phosphate and the magnetic material data of each preparation stage; For each preparation stage, the magnetic material concentration index, magnetic material uniformity index, magnetic material particle size distribution index, magnetic strength index, and magnetic material morphology index are analyzed based on the magnetic material data; Based on the comprehensive analysis of magnetic material concentration index, magnetic material uniformity index, magnetic material particle size distribution index, magnetic strength index, and magnetic material morphology index, the comprehensive detection index of magnetic materials in each preparation stage is obtained; And according to the preset stage magnetic material detection threshold, it is judged whether the comprehensive detection index of magnetic materials in each preparation stage meets the expected standard, and corresponding measures are taken; The magnetic material data includes the total mass of the magnetic material, the total mass of the lithium iron phosphate sample, the high-resolution image data of the lithium iron phosphate sample, the total number of magnetic particles in the lithium iron phosphate sample, and the particle size value, volume value, cross-sectional area value, perimeter value and magnetic moment value of each magnetic particle, and the high-resolution image data of the lithium iron phosphate sample includes the gray value of each pixel in the image; The specific steps to obtain the comprehensive detection index of magnetic materials in each preparation stage are as follows: For each preparation stage, the magnetic material concentration index, magnetic material uniformity index, magnetic material particle size distribution index, magnetic strength index, and magnetic material morphology index obtained by analysis are read respectively and normalized; Based on the normalized magnetic material concentration index, magnetic material uniformity index, magnetic material particle size distribution index, magnetic strength index, and magnetic material morphology index, a comprehensive analysis is performed to obtain the comprehensive detection index of magnetic materials in each preparation stage; The specific formula for calculating the comprehensive detection index of magnetic materials at each preparation stage is as follows: ； in, For the Comprehensive detection indicators of magnetic materials in each preparation stage, After normalization The concentration index of magnetic material in each preparation stage, For the preset The weighting coefficient of the concentration index of magnetic substances in each preparation stage, After normalization The uniformity index of magnetic materials in each preparation stage, For the preset The weighted coefficient of the uniformity index of the magnetic material in each preparation stage, After normalization The particle size distribution index of magnetic materials in each preparation stage, For the preset The weighted coefficient of the particle size distribution index of the magnetic material in each preparation stage, After normalization The magnetic strength index of each preparation stage, For the preset The weighting coefficient of the magnetic strength index of each preparation stage, After normalization The morphological index of magnetic materials in each preparation stage, For the preset The weighted coefficients of the morphological indicators of magnetic materials at each preparation stage, is a natural constant, is the circumference of a circle, , , is the number of preparation stages of lithium iron phosphate; Among them, the preset process of the weighted coefficient of each indicator in each preparation stage is specifically as follows: for each preparation stage, the normalized standard magnetic material concentration standard indicator, magnetic material uniformity standard indicator, magnetic material particle size distribution standard indicator, magnetic strength standard indicator, and magnetic material morphology standard indicator are summed to obtain the magnetic material indicator and value, and the normalized standard magnetic material concentration standard indicator, magnetic material uniformity standard indicator, magnetic material particle size distribution standard indicator, magnetic strength standard indicator, and magnetic material morphology standard indicator are respectively ratio-calculated with the magnetic material indicator and value, and the ratio result is used as the weighted coefficient of the corresponding indicator.

2. The method for online detection of magnetic substances in the lithium iron phosphate preparation process according to claim 1, characterized in that: The specific steps for analyzing the concentration index of magnetic substances at each preparation stage are as follows: For each preparation stage, the total mass of the magnetic material and the total mass of the lithium iron phosphate sample are read respectively, and a ratio analysis is performed to obtain the concentration index of the magnetic material in each preparation stage.

3. The method for online detection of magnetic substances in the lithium iron phosphate preparation process according to claim 1, characterized in that: The specific steps for analyzing the uniformity index of magnetic materials at each preparation stage are as follows: Read the gray value of each pixel in the high-resolution image of the lithium iron phosphate sample at each preparation stage respectively; The grayscale value of each pixel is converted into a corresponding magnetic substance concentration value based on a preset gray-concentration conversion coefficient stored in the database; The concentration value of magnetic material at each pixel in the high-resolution image of lithium iron phosphate samples at each preparation stage was comprehensively analyzed to obtain the uniformity index of magnetic material at each preparation stage. The calculation formula is as follows: ； in, For the The uniformity index of magnetic materials in each preparation stage, For the High-resolution image of lithium iron phosphate sample at the preparation stage The concentration value of magnetic material at each pixel point, , is the number of preparation stages of lithium iron phosphate, , is the number of pixels in the high-resolution image of the lithium iron phosphate sample.

4. The method for online detection of magnetic substances in the lithium iron phosphate preparation process according to claim 1, characterized in that: The specific steps for analyzing the particle size distribution index of the magnetic material at each preparation stage are as follows: For each preparation stage, the total number of magnetic particles and the particle size value of each magnetic particle in the lithium iron phosphate sample are read respectively, and the magnetic particle size interval and the number of magnetic particles in each particle size interval are analyzed; Based on the magnetic particle size intervals and the number of magnetic particles in each particle size interval, the proportion of each magnetic particle size interval in the total number of magnetic particles is analyzed; Based on a comprehensive analysis of the total number of magnetic particles in the lithium iron phosphate sample, the magnetic particle size range, the number of magnetic particles in each particle size range, and the proportion of each magnetic particle size range in the total number of magnetic particles, the particle size distribution index of the magnetic material in each preparation stage is obtained, and the calculation formula is as follows: ； in, For the The particle size distribution index of magnetic materials in each preparation stage, For the The first stage of preparation The particle size value of the magnetic particle size interval, For the The first stage of preparation The proportion of the magnetic particle size range in the total number of magnetic particles, For the The first stage of preparation The number of magnetic particles in each magnetic particle size range, , is the number of preparation stages of lithium iron phosphate, , is the number of particle size intervals.

5. The method for online detection of magnetic substances in the lithium iron phosphate preparation process according to claim 1, characterized in that: The specific steps for analyzing the magnetic strength index at each preparation stage are as follows: For each preparation stage, the volume value and magnetic moment value of each magnetic particle in the lithium iron phosphate sample are read respectively, and the magnetization intensity value of each magnetic particle is analyzed; The magnetization intensity value of each magnetic particle in each preparation stage is comprehensively analyzed to obtain the magnetic intensity index of each preparation stage.

6. The method for online detection of magnetic substances in the lithium iron phosphate preparation process according to claim 1, characterized in that: The specific steps for analyzing the morphological indicators of magnetic materials at each preparation stage are as follows: Read the cross-sectional area and perimeter of each magnetic particle in the lithium iron phosphate sample at each preparation stage, and analyze the shape factor of each magnetic particle; The shape factor of each magnetic particle in each preparation stage is comprehensively analyzed to obtain the morphological index of the magnetic material in each preparation stage.

7. The method for online detection of magnetic substances in the lithium iron phosphate preparation process according to claim 1, characterized in that: The specific process of judging whether the comprehensive detection index of magnetic materials in each stage meets the expected standards according to the preset magnetic material detection threshold and taking corresponding measures is as follows: Determine whether the comprehensive detection index of magnetic materials in the current preparation stage meets the preset detection threshold of magnetic materials in the current stage; If the comprehensive detection index of the magnetic material in the current preparation stage meets the preset detection threshold of the magnetic material in the current stage, the preparation instruction for the next stage is sent, and the detection steps are repeated until the preparation of lithium iron phosphate is completed; If the comprehensive detection index of magnetic materials in the current preparation stage does not meet the preset detection threshold of magnetic materials in the current stage, a stop preparation instruction is sent and relevant staff are notified.

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