A method and system for detecting the silver content in a silver-based composite filter element

Abstract

The present invention relates to the technical field of content detection, and particularly relates to a method and system for detecting the silver content in a silver-based composite filter element. The present invention obtains a three-dimensional image of silver-based fibers, and obtains the distribution ratio of silver according to the three-dimensional image. By obtaining the geometric feature information of the silver-based fibers, and obtaining the actual resistance value of silver according to the geometric feature information, the distribution ratio and the initial comprehensive resistivity. By combining the geometric feature information, the distribution ratio and the comprehensive resistivity, comprehensive analysis can be carried out to obtain more accurate silver content information. By obtaining the current temperature of the silver-based fibers, and calculating the current conductivity of silver according to the current temperature, the initial temperature value and the actual resistance value of silver. Since the conductivity is significantly affected by temperature, by considering the current temperature and the initial temperature value, temperature compensation can be performed on the conductivity to ensure that the calculated conductivity more accurately reflects the actual content of silver.

Description

Technical Field

[0001] The present invention relates to the technical field of filter element detection, and particularly relates to a method and system for detecting the silver content in a silver-based composite filter element. Background Art

[0002] The vehicle air conditioner filter element is an important component installed in the vehicle air conditioning system, mainly used for filtering and purifying the air entering the vehicle. It can effectively remove harmful substances such as particulate matter, dust, pollen, bacteria, viruses, and odors in the air, providing a cleaner and healthier in-vehicle air environment. Currently, silver-based fibers are mainly used in vehicle air conditioner filter elements to achieve the filtering and purification effect. Silver-based fibers refer to fibers prepared by using high-tech antibacterial technology with 99.99% pure silver and polymer silver-based fibers, which have the ability to kill or inhibit the growth and reproduction of bacteria and can reduce their quantity and activity. The reason why silver-based fibers have antibacterial properties is that pure silver plays a role. The antibacterial principle of pure silver is that at the molecular level, the presence of a catalyst (such as moisture or heat) will activate the activity of silver, releasing silver ions, and the silver ions will bind to the receptors on the cell wall, thereby preventing cell respiration and destroying the DNA of bacteria and preventing its replication.

[0003] Therefore, by detecting the silver content in the silver-based fibers, the filtering effect of the air conditioner filter element can be detected. Currently, the main method for detecting the silver content in silver-based fibers is through atomic absorption spectrometry, that is, the silver atoms in the sample silver-based fibers absorb light of a specific wavelength, and the silver content is determined by the degree of light absorption. However, the above method requires the silver-based fibers to absorb sufficient light, and the detection and analysis time is too long, so the silver content in the silver-based fibers cannot be known in real time, and thus the filtering effect of the air conditioner filter element cannot be detected in real time. Summary of the Invention

[0004] The main object of the present invention is to provide a method for detecting the silver content in a silver-based composite filter element, aiming to solve the technical problems in the prior art.

[0005] The present invention provides a method for detecting the silver content in a silver-based composite filter element, including:

[0006] Obtaining the initial temperature value and initial comprehensive resistivity of the silver-based fibers;

[0007] Obtaining a three-dimensional image of the silver-based fibers, and obtaining the distribution occupancy ratio of silver according to the three-dimensional image;

[0008] Obtaining the geometric feature information of the silver-based fibers, and obtaining the actual resistance value of silver according to the geometric feature information, distribution occupancy ratio, and initial comprehensive resistivity;

[0009] Obtaining the current temperature of the silver-based fibers, and calculating the current conductivity of silver according to the current temperature, initial temperature value, and actual resistance value of silver;

[0010] Obtain a relationship curve graph of silver content - conductivity, and obtain the silver content based on the relationship curve graph and the current conductivity of silver.

[0011] Preferably, the step of obtaining the distribution occupancy ratio of silver according to the three - dimensional image includes:

[0012] Obtain a grayscale histogram according to the three - dimensional image, and segment the three - dimensional image according to the grayscale histogram to obtain a three - dimensional silver region image;

[0013] Obtain the surface area and thickness dimensions of the silver region image, and obtain the first volume of the silver region image according to the product of the surface area and thickness dimensions;

[0014] Obtain the second volume of the three - dimensional image;

[0015] Obtain the distribution occupancy ratio of silver according to the ratio of the first volume and the second volume.

[0016] Preferably, the step of segmenting the three - dimensional image according to the grayscale histogram to obtain a three - dimensional silver region image includes:

[0017] Obtain multiple grayscale values according to the grayscale histogram, and obtain the corresponding pixel point positions according to each grayscale value;

[0018] Obtain a preset grayscale threshold, and determine whether each grayscale value is greater than the preset grayscale threshold;

[0019] If the grayscale value is greater than the preset grayscale threshold, mark the corresponding pixel point position as black;

[0020] If the grayscale value is not greater than the preset grayscale threshold, mark the corresponding pixel point position as white;

[0021] Segment the three - dimensional image according to multiple pixel point positions marked as white to obtain multiple local three - dimensional silver images;

[0022] Obtain the edge pixel position information of each local three - dimensional silver image;

[0023] Stitch multiple local three - dimensional silver images according to the edge pixel position information to obtain a three - dimensional silver region image.

[0024] Preferably, the step of obtaining the actual resistance value of silver according to the geometric feature information, distribution occupancy ratio and initial comprehensive resistivity includes:

[0025] Obtain the length and cross - sectional area of the silver - based fiber according to the geometric feature information;

[0026] Calculate the comprehensive resistance value of the silver-based fiber according to the length of the silver-based fiber, the cross-sectional area of the silver-based fiber, and the initial comprehensive resistivity, where the calculation formula is:

[0027] ;

[0028] Among them, Z(D) represents the comprehensive resistance value of the silver-based fiber, C(Z) represents the initial comprehensive resistivity, C(D) represents the length of the silver-based fiber, and J(M) represents the cross-sectional area of the silver-based fiber;

[0029] Calculate the actual resistance value of silver according to the comprehensive resistance value of the silver-based fiber and the distribution ratio, where the calculation formula is:

[0030] ;

[0031] Among them, S(D) represents the actual resistance value of silver, Z(D) represents the comprehensive resistance value of the silver-based fiber, and F(Z) represents the distribution ratio.

[0032] Preferably, the step of calculating the current conductivity of silver according to the current temperature, the initial temperature value, and the actual resistance value of silver includes:

[0033] Obtain the temperature coefficient of the silver-based fiber;

[0034] Calculate the current resistance value of silver according to the temperature coefficient, the current temperature, the initial temperature value, and the actual resistance value of silver, where the calculation formula is:

[0035] ;

[0036] Among them, R represents the current resistance value of silver, β represents the model parameter, α represents the temperature coefficient, S(D) represents the actual resistance value of silver, T represents the current temperature, and t represents the initial temperature value;

[0037] Obtain the length and cross-sectional area of the silver-based fiber according to the geometric feature information;

[0038] Obtain the current resistance value, and calculate the current conductivity of silver according to the current resistance value, the length of the silver-based fiber, and the cross-sectional area of the silver-based fiber, where the calculation formula is:

[0039] ;

[0040] Among them, D(L) represents the current conductivity of silver, D(C) represents the current resistance value, C(D) represents the length of the silver-based fiber, and J(M) represents the cross-sectional area of the silver-based fiber.

[0041] Preferably, the step of obtaining the relationship curve of silver content-conductivity, and obtaining the silver content according to the relationship curve and the current conductivity of silver includes:

[0042] Obtain multiple preset silver contents, and obtain the conductivity of each preset silver content;

[0043] Establish an X - Y coordinate axis with the preset silver content as the X - axis and the conductivity as the Y - axis;

[0044] Mark each preset silver content and the corresponding conductivity as connection points, and draw multiple connection points on the X - Y coordinate axis through a curve to obtain a curve graph;

[0045] Match the current conductivity of silver according to the curve graph to obtain the silver content.

[0046] This application also provides a silver content detection system for a silver - based composite filter element, including:

[0047] The first acquisition module is used to acquire the initial temperature value and the initial comprehensive resistivity of the silver - based fiber;

[0048] The second acquisition module is used to acquire the three - dimensional image of the silver - based fiber and obtain the distribution ratio of silver according to the three - dimensional image;

[0049] The third acquisition module is used to acquire the geometric feature information of the silver - based fiber, and obtain the actual resistance value of silver according to the geometric feature information, the distribution ratio, and the initial comprehensive resistivity;

[0050] The calculation module is used to acquire the current temperature of the silver - based fiber, and calculate the current conductivity of silver according to the current temperature, the initial temperature value, and the actual resistance value of silver;

[0051] The fourth acquisition module is used to acquire the relationship curve graph of silver content - conductivity, and obtain the silver content according to the relationship curve graph and the current conductivity of silver.

[0052] Preferably, the third acquisition module includes:

[0053] The first acquisition unit is used to acquire the length of the silver - based fiber and the cross - sectional area of the silver - based fiber according to the geometric feature information;

[0054] The first calculation unit is used to calculate the comprehensive resistance value of the silver - based fiber according to the length of the silver - based fiber, the cross - sectional area of the silver - based fiber, and the initial comprehensive resistivity, where the calculation formula is:

[0055] ;

[0056] Among them, Z(D) represents the comprehensive resistance value of the silver - based fiber, C(Z) represents the initial comprehensive resistivity, C(D) represents the length of the silver - based fiber, and J(M) represents the cross - sectional area of the silver - based fiber;

[0057] A second calculation unit, configured to calculate the actual resistance value of silver according to the comprehensive resistance value and the distribution ratio of the silver-based fiber, where the calculation formula is:

[0058] ;

[0059] wherein, S(D) represents the actual resistance value of silver, Z(D) represents the comprehensive resistance value of the silver-based fiber, and F(Z) represents the distribution ratio.

[0060] The present invention also provides a computer device, including a memory and a processor, where the memory stores a computer program, and when the processor executes the computer program, the steps of the silver content detection method in the above silver-based composite filter element are implemented.

[0061] The present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the silver content detection method in the above silver-based composite filter element are implemented.

[0062] The beneficial effects of the present invention are as follows: By obtaining the three-dimensional image of the silver-based fiber and obtaining the distribution ratio of silver according to the three-dimensional image, by obtaining the geometric feature information of the silver-based fiber and obtaining the actual resistance value of silver according to the geometric feature information, the distribution ratio and the initial comprehensive resistivity, by combining the geometric feature information, the distribution ratio and the comprehensive resistivity, comprehensive analysis can be carried out to obtain more accurate silver content information. By obtaining the current temperature of the silver-based fiber and calculating the current conductivity of silver according to the current temperature, the initial temperature value and the actual resistance value of silver, since the conductivity is significantly affected by temperature, by considering the current temperature and the initial temperature value, temperature compensation can be performed on the conductivity to ensure that the calculated conductivity more accurately reflects the actual content of silver. Obtain the relationship curve graph of silver content-conductivity, and obtain the silver content according to the relationship curve graph and the current conductivity of silver. Since the curve graph provides the relationship between silver content and conductivity, it can intuitively display the conductivity change under different silver contents. This visual way helps to understand and analyze the relationship between the distribution and conductivity characteristics of silver. Through the curve graph, the silver content can be accurately inferred according to the actually measured conductivity. The curve graph considers the influence of different silver contents on conductivity and can reduce the error caused by a single measurement or calculation method. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 It is a schematic flowchart of the method according to an embodiment of the present invention.

[0064] Figure 2 It is a schematic structural diagram of the device according to an embodiment of the present invention.

[0065] Figure 3 It is a schematic internal structure diagram of the computer device according to an embodiment of the present application.

[0066] The realization of the object, functional features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with embodiments. Specific embodiments

[0067] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0068] As Figures 1-3 shown, the present application provides a method for detecting the silver content in a silver-based composite filter element, including:

[0069] S1. Obtain the initial temperature value and initial comprehensive resistivity of the silver-based fiber;

[0070] S2. Obtain the three-dimensional image of the silver-based fiber, and obtain the distribution occupancy ratio of silver according to the three-dimensional image;

[0071] S3. Obtain the geometric feature information of the silver-based fiber, and obtain the actual resistance value of silver according to the geometric feature information, distribution occupancy ratio and initial comprehensive resistivity;

[0072] S4. Obtain the current temperature of the silver-based fiber, and calculate the current conductivity of silver according to the current temperature, initial temperature value and actual resistance value of silver;

[0073] S5. Obtain the relationship curve graph of silver content - conductivity, and obtain the silver content according to the relationship curve graph and the current conductivity of silver.

[0074] As described in the above steps S1 - S5, the vehicle air conditioner filter element is an important component installed in the vehicle air conditioning system, mainly used for filtering and purifying the air entering the vehicle interior. It can effectively remove harmful substances such as particulate matter, dust, pollen, bacteria, viruses, and odors in the air, providing a cleaner and healthier vehicle interior air environment. Currently, silver-based fibers are mainly used in vehicle air conditioner filter elements to achieve the filtering and purification effect. Silver-based fibers refer to fibers prepared by using high-tech antibacterial technology with 99.99% pure silver and polymer silver-based fibers, which have the ability to kill or inhibit the growth and reproduction of bacteria and can reduce their quantity and activity. The reason why silver-based fibers are antibacterial is that pure silver plays a role. The antibacterial principle of pure silver is that at the molecular level, the presence of catalysts (such as moisture or heat) will activate the activity of silver, releasing silver ions, and the silver ions will bind to the receptors on the cell wall, thereby preventing cell respiration and destroying the DNA of bacteria and preventing its replication. Therefore, by detecting the silver content in the silver-based fiber, the filtering effect of the air conditioner filter element can be detected. Currently, the main method for detecting the silver content in silver-based fibers is through atomic absorption spectrometry, that is, the silver atoms in the sample silver-based fiber absorb light of a specific wavelength, and the silver content is determined by the degree of light absorption. However, the above method requires the silver-based fiber to absorb sufficient light, and the detection and analysis time is too long, so it is impossible to know the silver content in the silver-based fiber in real time, and thus it is impossible to detect the filtering effect of the air conditioner filter element in real time.The present invention obtains a three-dimensional image of a silver-based fiber, and obtains the distribution ratio of silver based on the three-dimensional image. By obtaining the geometric feature information of the silver-based fiber and obtaining the actual resistance value of silver based on the geometric feature information, the distribution ratio, and the initial comprehensive resistivity. Since the three-dimensional image provides detailed spatial distribution information of silver in the fiber, it is convenient to accurately measure the distribution of silver, which can improve the accuracy of silver content detection. Compared with a two-dimensional image, the three-dimensional image can more comprehensively display the actual position and distribution of silver. However, since the three-dimensional image can only provide the distribution ratio of the volume of silver in the silver-based fiber, the silver content information cannot be obtained only through the distribution ratio. Therefore, it is also necessary to further comprehensively analyze the silver content by combining the geometric feature information, the distribution ratio, and the comprehensive resistivity to obtain the actual resistance value information of silver, and then facilitate obtaining a more accurate silver content in subsequent detection. By obtaining the current temperature of the silver-based fiber and calculating the current conductivity of silver based on the current temperature, the initial temperature value, and the actual resistance value of silver. Since the conductivity is significantly affected by temperature, by considering the current temperature and the initial temperature value, temperature compensation can be performed on the conductivity to ensure that the calculated conductivity more accurately reflects the actual content of silver. Real-time obtaining and calculating the conductivity can monitor the performance of the silver-based fiber in real time. The conductivity of silver is sensitive to temperature changes and can provide detailed conductivity change data. After considering the temperature factor, the calculated conductivity can more accurately reflect the actual content of silver. Temperature changes may cause deviations in conductivity, and the compensated conductivity is more real, which helps to more accurately evaluate the distribution and content of silver. Obtain a relationship curve graph of silver content-conductivity, and obtain the silver content based on the relationship curve graph and the current conductivity of silver. Since the curve graph provides the relationship between silver content and conductivity and can intuitively display the conductivity changes under different silver contents, this visual way helps to understand and analyze the relationship between the distribution of silver and its conductivity characteristics. Through the curve graph, the silver content can be accurately inferred based on the actually measured conductivity. The curve graph considers the influence of different silver contents on conductivity and can reduce errors caused by a single measurement or calculation method.

[0075] In one embodiment, step S2 of obtaining the distribution ratio of silver based on the three-dimensional image includes:

[0076] S21. Obtain a gray histogram based on the three-dimensional image, and segment the three-dimensional image according to the gray histogram to obtain a three-dimensional silver region image;

[0077] S22. Obtain the surface area and thickness dimensions of the silver region image, and obtain the first volume of the silver region image according to the product of the surface area and the thickness dimension;

[0078] S23. Obtain the second volume of the three-dimensional image;

[0079] S24. Obtain the ratio of silver distribution according to the ratio of the first volume and the second volume.

[0080] As described in the above steps S21 - S24, the present invention obtains a grayscale histogram based on a three - dimensional image, and segments the three - dimensional image according to the grayscale histogram to obtain a three - dimensional silver region image. Since the grayscale histogram provides the distribution of different grayscale values in the image, it helps to accurately separate the silver region in the image from other regions, thereby improving the segmentation accuracy. By segmenting the three - dimensional silver region image, the distribution information of silver in the fiber can be accurately extracted. The three - dimensional image retains the spatial distribution information of silver. Compared with a two - dimensional image, it can more comprehensively analyze the actual layout and volume of silver in the fiber. Through the obtained three - dimensional silver region image, the volume fraction or content of silver can be calculated more accurately. By obtaining the surface area and thickness dimensions of the silver region image, and obtaining the first volume of the silver region image according to the product of the surface area and the thickness dimension, obtaining the second volume of the three - dimensional image, and then according to the ratio of the first volume and the second volume, the ratio of silver distribution is obtained. Among them, the calculation formula is: , where F(Z) represents the ratio of silver distribution, D1 represents the first volume, and D2 represents the second volume. The first volume calculated by the actually measured surface area and thickness dimensions can provide an accurate estimate of the silver region volume. Comparing it with the second volume (actual volume) in the three - dimensional image can more accurately estimate the ratio of silver distribution, thereby improving the accuracy of silver content detection. Comparing the volume calculation of the silver region with the volume of the overall three - dimensional image simplifies the calculation process and reduces the steps that require complex measurements compared to directly measuring or calculating the silver content. By calculating the volume ratio, the ratio of silver distribution can be obtained. This method reduces the influence caused by single - measurement errors, making the detection results more consistent and reliable.

[0081] In one embodiment, step S21 of segmenting the three - dimensional image according to the grayscale histogram to obtain a three - dimensional silver region image includes:

[0082] S211. Obtain multiple grayscale values according to the grayscale histogram, and obtain the corresponding pixel point positions according to each grayscale value;

[0083] S212. Obtain a preset grayscale threshold, and judge whether each grayscale value is greater than the preset grayscale threshold;

[0084] If the grayscale value is greater than the preset grayscale threshold, mark the corresponding pixel point position as black;

[0085] If the grayscale value is not greater than the preset grayscale threshold, mark the corresponding pixel point position as white;

[0086] S213. Segment the three-dimensional image based on the positions of multiple white-labeled pixel points to obtain multiple local three-dimensional silver images;

[0087] S214. Obtain the edge pixel position information of each local three-dimensional silver image;

[0088] S215. Stitch the multiple local three-dimensional silver images according to the edge pixel position information to obtain a three-dimensional silver region image.

[0089] As described in the above steps S211 - S215, the present invention obtains multiple gray values according to the gray histogram, and obtains the corresponding pixel point positions according to each gray value. By obtaining a preset gray threshold and determining whether each gray value is greater than the preset gray threshold, if the gray value is greater than the preset gray threshold, the corresponding pixel point position is marked as black, otherwise it is marked as white. Segment the three-dimensional image based on the positions of multiple white-labeled pixel points to obtain multiple local three-dimensional silver images. In this way, by using the gray histogram and threshold to mark pixel points, the image can be effectively segmented into a silver region and a non-silver region. This method can separate the silver region in the silver-based fiber from the background, thereby more clearly identifying and extracting the distribution of silver. By marking pixel points and segmenting local three-dimensional images, the tiny regions of silver in the silver-based fiber can be captured, which helps to more accurately analyze the distribution and content of silver in the fiber, especially in the case of complex structures or uneven distributions. Segmenting according to multiple gray values and a preset threshold can make judgments based on the actual gray characteristics in the image, rather than simply relying on the statistical data of the overall image. This can reduce errors caused by different lighting conditions or image noise and improve the accuracy of segmentation. The marked and segmented local three-dimensional silver images can provide detailed regional information, which helps to analyze the volume distribution of silver. By obtaining the edge pixel position information of each local three-dimensional silver image and stitching the multiple local three-dimensional silver images according to the edge pixel position information to obtain a three-dimensional silver region image, a complete three-dimensional silver region image can be generated by stitching multiple local three-dimensional images, thereby providing comprehensive silver distribution information, rather than just a local view. This helps to more accurately analyze the distribution of silver in the entire fiber. By stitching according to the edge pixel position information, the details and accuracy of the image can be maintained, ensuring that the boundaries of the silver region are accurately represented. The precise alignment of edge pixels can reduce overlap and errors during the stitching process, thereby improving the accuracy and consistency of the overall three-dimensional image.

[0090] In one embodiment, the step S3 of obtaining the actual resistance value of silver according to the geometric feature information, distribution occupancy ratio, and initial comprehensive resistivity includes:

[0091] S31. Obtain the length of the silver-based fiber and the cross-sectional area of the silver-based fiber according to the geometric feature information;

[0092] S32. Calculate the comprehensive resistance value of the silver-based fiber according to the length, cross-sectional area, and initial comprehensive resistivity of the silver-based fiber. The calculation formula is as follows:

[0093] ;

[0094] where Z(D) represents the comprehensive resistance value of the silver-based fiber, C(Z) represents the initial comprehensive resistivity, C(D) represents the length of the silver-based fiber, and J(M) represents the cross-sectional area of the silver-based fiber;

[0095] S33. Calculate the actual resistance value of silver according to the comprehensive resistance value and distribution ratio of the silver-based fiber. The calculation formula is as follows:

[0096] ;

[0097] where S(D) represents the actual resistance value of silver, Z(D) represents the comprehensive resistance value of the silver-based fiber, and F(Z) represents the distribution ratio.

[0098] As described in the above steps S31 - S33, the present invention obtains the length and cross-sectional area of the silver-based fiber according to the geometric feature information, and calculates the comprehensive resistance value of the silver-based fiber based on the length, cross-sectional area, and initial comprehensive resistivity of the silver-based fiber. Thus, by measuring the length and cross-sectional area of the silver-based fiber and combining with the initial resistivity to calculate the comprehensive resistance value, the silver content can be indirectly deduced. Since the conductivity of silver directly affects the resistance value, the comprehensive resistance value can reflect the actual presence and distribution of silver. Silver has high conductivity and low resistivity. By calculating the comprehensive resistance value, the silver content in the silver-based fiber can be evaluated. Because the change in silver content will significantly affect the resistance characteristics of the fiber, using geometric features (length and cross-sectional area) and resistivity for calculation can provide a more accurate estimation of the comprehensive resistance value of the silver-based fiber. Compared with other methods, this method can comprehensively consider the geometric and electrical characteristics of the silver-based fiber. This method can be used for silver-based fibers of different sizes and shapes, providing a flexible and general means for detecting silver content. Since the silver-based fiber is composed of silver and other materials, it is necessary to calculate the actual resistance value of silver according to the distribution ratio of silver in the silver-based fiber and the comprehensive resistance value of the silver-based fiber. Using the comprehensive resistance value and the distribution ratio value can more accurately estimate the actual resistance value of silver. The actual resistance value of silver reflects the purity and distribution of silver. Furthermore, by combining the accurately calculated resistance value of silver with temperature, the conductivity of silver can be further calculated more accurately. Then, by combining with the relationship curve of silver content - conductivity, the silver content can be deduced more accurately. Especially in the case of uneven silver distribution (due to the aggregation or mixing phenomenon of silver distribution in the fiber, resulting in uneven silver distribution in the fiber), by calculating using the comprehensive resistance value and the distribution ratio value, the error caused by uneven silver distribution can be eliminated or reduced. This method can more accurately estimate the actual resistance value of silver, thereby improving the accuracy of detecting the actual resistance value of silver.

[0099] In one embodiment, step S4 of calculating the current conductivity of silver according to the current temperature, initial temperature value, and actual resistance value of silver includes:

[0100] S41. Obtain the temperature coefficient of the silver-based fiber;

[0101] S42. Calculate the current resistance value of silver according to the temperature coefficient, current temperature, initial temperature value, and actual resistance value of silver, where the calculation formula is:

[0102] ;

[0103] where R represents the current resistance value of silver, β represents the model parameter, α represents the temperature coefficient, S(D) represents the actual resistance value of silver, T represents the current temperature, and t represents the initial temperature value;

[0104] S43. Obtain the length of the silver-based fiber and the cross-sectional area of the silver-based fiber according to the geometric feature information;

[0105] S44. Obtain the current resistance value, and calculate the current conductivity of silver according to the current resistance value, the length of the silver-based fiber, and the cross-sectional area of the silver-based fiber. The calculation formula is as follows:

[0106] ;

[0107] where D(L) represents the current conductivity of silver, D(C) represents the current resistance value, C(D) represents the length of the silver-based fiber, and J(M) represents the cross-sectional area of the silver-based fiber.

[0108] As described in the above steps S41 - S44, the present invention obtains the temperature coefficient of the silver-based fiber, and calculates the current resistance value of silver according to the temperature coefficient, the current temperature, the initial temperature value, and the actual resistance value of silver. In this way, the resistance value of silver will change with the temperature. By considering the temperature coefficient, the change in the resistance value caused by the temperature change can be compensated, so as to measure the resistance value of the silver-based fiber under actual use conditions more accurately. By accurately calculating the current resistance value, the influence of temperature change on the measurement result can be reduced, and the accuracy and reliability of silver content detection can be improved. The consideration of the temperature coefficient and the current temperature can reflect the true performance of the silver-based fiber in the actual application environment. Obtain the length of the silver-based fiber and the cross-sectional area of the silver-based fiber according to the geometric feature information. By obtaining the current resistance value and calculating the current conductivity of silver according to the current resistance value, the length of the silver-based fiber, and the cross-sectional area of the silver-based fiber, the actual content of silver in the silver-based fiber can be intuitively reflected by calculating the conductivity. Because the conductivity of silver is high and the resistance value is low, by using the length and cross-sectional area for calculation, a more accurate conductivity value can be obtained, which reduces the error that may be brought about by the inconsistency of the fiber geometric features and improves the accuracy of silver content detection. The conductivity calculation provides an indirect compensation for the temperature influence because the change in conductivity can more accurately reflect the actual conductive characteristics of silver without being directly interfered by temperature fluctuations. The conductivity calculation takes into account the geometric features and resistance value of the fiber, providing an overall electrical performance evaluation of the silver-based fiber, which helps to understand the distribution and conductivity of silver in the fiber.

[0109] In one embodiment, step S5 of obtaining the relationship curve graph of silver content - conductivity and obtaining the silver content according to the relationship curve graph and the current conductivity of silver includes:

[0110] S51. Obtain multiple preset silver contents and obtain the conductivity of each preset silver content;

[0111] S52. Establish an X - Y coordinate axis with the preset silver content as the X-axis and the conductivity as the Y-axis;

[0112] S53. Mark each preset silver content and the corresponding conductivity as connection points, and plot multiple connection points on the X-Y coordinate axes through a curve to obtain a curve graph;

[0113] S54. Match the current conductivity of silver according to the curve graph to obtain the silver content.

[0114] As described in the above steps S51 - S54, the present invention obtains multiple preset silver contents and the conductivity of each preset silver content, establishes an X-Y coordinate axis with the preset silver content as the X-axis and the conductivity as the Y-axis, marks each preset silver content and the corresponding conductivity as connection points, plots multiple connection points on the X-Y coordinate axes through a curve to obtain a curve graph, and then matches the current conductivity of silver according to the curve graph to obtain the silver content. In this way, by establishing the curve relationship between the silver content and the conductivity, a more accurate silver content estimation can be obtained. This method utilizes the relationship between the actually measured conductivity data and the known silver content, reducing the error that may be brought by direct calculation. The curve graph can reflect the conductivity change trend corresponding to different silver contents. This dynamic relationship helps to identify the conductivity at different contents. By comparing the current conductivity of silver with the curve graph, the silver content can be quickly and intuitively estimated. This graphical method simplifies the detection process of the silver content and improves the work efficiency. The curve graph can clearly show the non-linear relationship between the silver content and the conductivity, enabling the content change within a small range to be accurately captured and providing a high-contrast detection result.

[0115] This application also provides a silver content detection system for a silver-based composite filter element, including:

[0116] A first acquisition module for acquiring the initial temperature value and the initial comprehensive resistivity of the silver-based fiber;

[0117] A second acquisition module for acquiring a three-dimensional image of the silver-based fiber and obtaining the distribution occupancy ratio of silver according to the three-dimensional image;

[0118] A third acquisition module for acquiring the geometric feature information of the silver-based fiber and obtaining the actual resistance value of silver according to the geometric feature information, the distribution occupancy ratio, and the initial comprehensive resistivity;

[0119] A calculation module for acquiring the current temperature of the silver-based fiber and calculating the current conductivity of silver according to the current temperature, the initial temperature value, and the actual resistance value of silver;

[0120] A fourth acquisition module for acquiring the relationship curve graph of silver content - conductivity and obtaining the silver content according to the relationship curve graph and the current conductivity of silver.

[0121] In one embodiment, the third acquisition module includes:

[0122] A first acquisition unit, configured to acquire the length of the silver-based fiber and the cross-sectional area of the silver-based fiber according to the geometric feature information;

[0123] A first calculation unit, configured to calculate the comprehensive resistance value of the silver-based fiber according to the length of the silver-based fiber, the cross-sectional area of the silver-based fiber, and the initial comprehensive resistivity, where the calculation formula is:

[0124] ;

[0125] wherein, Z(D) represents the comprehensive resistance value of the silver-based fiber, C(Z) represents the initial comprehensive resistivity, C(D) represents the length of the silver-based fiber, and J(M) represents the cross-sectional area of the silver-based fiber;

[0126] A second calculation unit, configured to calculate the actual resistance value of silver according to the comprehensive resistance value of the silver-based fiber and the distribution ratio, where the calculation formula is:

[0127] ;

[0128] wherein, S(D) represents the actual resistance value of silver, Z(D) represents the comprehensive resistance value of the silver-based fiber, and F(Z) represents the distribution ratio.

[0129] The present invention further provides a computer device, including a memory and a processor, where the memory stores a computer program, and when the processor executes the computer program, the steps of the method for detecting the silver content in the silver-based composite filter element are implemented.

[0130] The present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method for detecting the silver content in the silver-based composite filter element are implemented.

[0131] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium provided in this application and used in the embodiments can include non-volatile and / or volatile memories. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or an external cache memory. By way of illustration and not limitation, RAM can be obtained in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0132] It should be noted that in this text, the term "including", "comprising", or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, device, article, or method including a series of elements not only includes those elements but also includes other elements not explicitly listed, or further includes elements inherent to such a process, device, article, or method. Without more limitations, an element defined by the statement "including one..." does not exclude the existence of additional identical elements in the process, device, article, or method including that element.

[0133] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention. Any equivalent structural or equivalent process transformation made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall equally be included in the patent protection scope of the present invention.

Claims

1. A method for detecting the silver content in a silver-based composite filter element, characterized in that, Including: Obtaining the initial temperature value and the initial comprehensive resistivity of the silver-based fiber; Obtaining a three-dimensional image of the silver-based fiber, and obtaining the distribution occupancy ratio of silver according to the three-dimensional image; Obtaining the geometric feature information of the silver-based fiber, and obtaining the length of the silver-based fiber and the cross-sectional area of the silver-based fiber according to the geometric feature information; Calculating the comprehensive resistance value of the silver-based fiber according to the length of the silver-based fiber, the cross-sectional area of the silver-based fiber, and the initial comprehensive resistivity, wherein the calculation formula is: Wherein, Z(D) represents the comprehensive resistance value of the silver-based fiber, C(Z) represents the initial comprehensive resistivity, C(D) represents the length of the silver-based fiber, and J(M) represents the cross-sectional area of the silver-based fiber; Calculating the actual resistance value of silver according to the comprehensive resistance value and the distribution occupancy ratio of the silver-based fiber, wherein the calculation formula is: S(D) = Z(D) * F(Z); Wherein, S(D) represents the actual resistance value of silver, Z(D) represents the comprehensive resistance value of the silver-based fiber, and F(Z) represents the distribution occupancy ratio; Obtaining the current temperature of the silver-based fiber, and obtaining the temperature coefficient of the silver-based fiber; Calculating the current resistance value of silver according to the temperature coefficient, the current temperature, the initial temperature value, and the actual resistance value of silver, wherein the calculation formula is: R = β * S(D) * [1 + α * (T - t)]; Wherein, R represents the current resistance value of silver, β represents the model parameter, a represents the temperature coefficient, S(D) represents the actual resistance value of silver, T represents the current temperature, and t represents the initial temperature value; Obtaining the length of the silver-based fiber and the cross-sectional area of the silver-based fiber according to the geometric feature information; Obtaining the current resistance value, and calculating the current conductivity of silver according to the current resistance value, the length of the silver-based fiber, and the cross-sectional area of the silver-based fiber, wherein the calculation formula is: Wherein, D(L) represents the current conductivity of silver, D(C) represents the current resistance value, C(D) represents the length of the silver-based fiber, and J(M) represents the cross-sectional area of the silver-based fiber; Obtaining a relationship curve graph of silver content - conductivity, and obtaining the silver content according to the relationship curve graph and the current conductivity of silver.

2. The method for detecting the silver content in the silver-based composite filter element according to claim 1, wherein, The step of obtaining the distribution occupancy ratio of silver according to the three-dimensional image includes: Obtaining a grayscale histogram according to the three-dimensional image, and segmenting the three-dimensional image according to the grayscale histogram to obtain a three-dimensional silver region image; Obtaining the surface area and the thickness dimension of the silver region image, and obtaining the first volume of the silver region image according to the product of the surface area and the thickness dimension; Obtaining the second volume of the three-dimensional image; Obtaining the distribution occupancy ratio of silver according to the ratio of the first volume to the second volume.

3. The method for detecting the silver content in the silver-based composite filter element according to claim 2, wherein, The step of segmenting the three-dimensional image according to the grayscale histogram to obtain a three-dimensional silver region image includes: Obtaining a plurality of grayscale values according to the grayscale histogram, and obtaining the corresponding pixel point positions according to each grayscale value; Obtaining a preset grayscale threshold, and determining whether each grayscale value is greater than the preset grayscale threshold; If the grayscale value is greater than the preset grayscale threshold, marking the corresponding pixel point position as black; If the grayscale value is not greater than the preset grayscale threshold, marking the corresponding pixel point position as white; Segment a three-dimensional image based on the positions of multiple white-labeled pixel points to obtain multiple local three-dimensional silver images; Obtain the edge pixel position information of each local three-dimensional silver image; Stitch multiple local three-dimensional silver images according to the edge pixel position information to obtain a three-dimensional silver region image.

4. The method for detecting the silver content in the silver-based composite filter element according to claim 1, wherein, The steps of obtaining the silver content-conductivity relationship curve graph and obtaining the silver content according to the relationship curve graph and the current conductivity of silver include: Obtain multiple preset silver contents and obtain the conductivity of each preset silver content; Establish an X-Y coordinate axis with the preset silver content as the X-axis and the conductivity as the Y-axis; Mark each preset silver content and the corresponding conductivity as connection points, and draw multiple connection points on the X-Y coordinate axis through a curve to obtain a curve graph; Match the current conductivity of silver according to the curve graph to obtain the silver content.

5. A silver content detection system for a silver-based composite filter element, characterized in that, Include: A first acquisition module for acquiring the initial temperature value and the initial comprehensive resistivity of the silver-based fiber; A second acquisition module for acquiring the three-dimensional image of the silver-based fiber and obtaining the distribution ratio of silver according to the three-dimensional image; A third acquisition module for acquiring the geometric feature information of the silver-based fiber and obtaining the length of the silver-based fiber and the cross-sectional area of the silver-based fiber according to the geometric feature information; Calculate the comprehensive resistance value of the silver-based fiber according to the length of the silver-based fiber, the cross-sectional area of the silver-based fiber and the initial comprehensive resistivity, where the calculation formula is: Where Z(D) represents the comprehensive resistance value of the silver-based fiber, C(Z) represents the initial comprehensive resistivity, C(D) represents the length of the silver-based fiber, and J(M) represents the cross-sectional area of the silver-based fiber; Calculate the actual resistance value of silver according to the comprehensive resistance value of the silver-based fiber and the distribution ratio, where the calculation formula is: S(D) = Z(D) * F(Z); Where S(D) represents the actual resistance value of silver, Z(D) represents the comprehensive resistance value of the silver-based fiber, and F(Z) represents the distribution ratio; A calculation module for acquiring the current temperature of the silver-based fiber and acquiring the temperature coefficient of the silver-based fiber; Calculate the current resistance value of silver according to the temperature coefficient, the current temperature, the initial temperature value and the actual resistance value of silver, where the calculation formula is: R = β * S(D) * [1 + a * (T - t)]; Where R represents the current resistance value of silver, β represents the model parameter, a represents the temperature coefficient, S(D) represents the actual resistance value of silver, T represents the current temperature, and t represents the initial temperature value; Obtain the length of the silver-based fiber and the cross-sectional area of the silver-based fiber according to the geometric feature information; Obtain the current resistance value, and calculate the current conductivity of silver according to the current resistance value, the length of the silver-based fiber and the cross-sectional area of the silver-based fiber, where the calculation formula is: Where D(L) represents the current conductivity of silver, D(C) represents the current resistance value, C(D) represents the length of the silver-based fiber, and J(M) represents the cross-sectional area of the silver-based fiber; A fourth acquisition module for acquiring the silver content-conductivity relationship curve graph and obtaining the silver content according to the relationship curve graph and the current conductivity of silver.

6. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method described in any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 4.

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