Method and system for detecting silver content in silver-based composite filter element

Abstract

The invention relates to the technical field of content detection, in particular to a method and system for detecting the content of silver in a silver-based composite filter element. According to the method, the three-dimensional image of the silver-based fiber is obtained, the distribution ratio of silver is obtained according to the three-dimensional image, the geometric feature information of the silver-based fiber is obtained, the actual resistance value of silver is obtained according to the geometric feature information, the distribution ratio and the initial comprehensive resistivity, and the actual resistance value of silver is obtained by combining the geometric feature information, the distribution ratio and the comprehensive resistivity. Comprehensive analysis can be carried out, more accurate silver content information can be obtained, the current conductivity of silver is calculated by obtaining the current temperature of the silver-based fiber and according to the current temperature, the initial temperature value and the actual resistance value of silver, and due to the fact that the conductivity is obviously influenced by the temperature, temperature compensation can be carried out on the conductivity by considering the current temperature and the initial temperature value; and the actual content of silver can be accurately reflected by the calculated conductivity.

Description

Technical Field

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

[0002] The car air conditioning filter is an important component installed in the vehicle air conditioning system. It is mainly used to filter and purify the air entering the car. It can effectively remove harmful substances such as particulate matter, dust, pollen, bacteria, viruses, odors, etc. in the air, providing a cleaner and healthier air environment in the car. At present, the car air conditioning filter mainly uses silver-based fibers to achieve the filtering and purification effect. Silver-based fibers refer to fibers that use high-tech antibacterial technology to make 99.99% pure silver and polymer silver-based fibers to kill or hinder the growth and reproduction of bacteria and reduce their number and activity. The reason why silver-based fibers are antibacterial is that pure silver is playing a role. The antibacterial principle of pure silver is that at the molecular level, the presence of catalysts (such as water or heat) will activate the activity of silver and release silver ions. Silver ions will bind to receptors on the cell wall to prevent cell respiration, destroy the DNA of bacteria and prevent them from replicating.

[0003] Therefore, the filtering effect of the air conditioning filter can be detected by detecting the silver content in the silver-based fiber. The current method for detecting the silver content in the silver-based fiber is mainly through atomic absorption spectroscopy, 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, and the silver content in the silver-based fiber cannot be known in real time, and thus the filtering effect of the air conditioning filter cannot be detected in real time. Summary of the invention

[0004] The main purpose 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, comprising: Obtaining the initial temperature value and initial comprehensive resistivity of the silver-based fiber; Obtaining a three-dimensional image of the silver-based fiber, and obtaining a distribution ratio value of silver according to the three-dimensional image; Acquire geometric characteristic information of the silver-based fiber, and acquire the actual resistance value of the silver according to the geometric characteristic information, the distribution ratio value and the initial comprehensive resistivity; Acquiring the current temperature of the silver-based fiber, and calculating the current conductivity of the silver according to the current temperature, the initial temperature value and the actual resistance value of the silver; A relationship curve diagram of silver content-conductivity is obtained, and the silver content is obtained according to the relationship curve diagram and the current conductivity of silver.

[0006] Preferably, the step of obtaining the distribution ratio of silver according to the three-dimensional image comprises: Acquire 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 area image; Acquire a surface area and a thickness dimension of the silver region image, and acquire a first volume of the silver region image according to the product of the surface area and the thickness dimension; acquiring a second volume of three-dimensional images; According to the ratio of the first volume to the second volume, the distribution ratio of silver is obtained.

[0007] Preferably, the step of segmenting the three-dimensional image according to the grayscale histogram to obtain a three-dimensional silver area image comprises: Acquire multiple grayscale values ​​according to the grayscale histogram, and acquire a corresponding pixel point position according to each of the grayscale values; Obtaining a preset grayscale threshold, and determining whether each of the grayscale values ​​is greater than the preset grayscale threshold; If the grayscale value is greater than a preset grayscale threshold, the corresponding pixel point position is marked as black; If the grayscale value is not greater than the preset grayscale threshold, the corresponding pixel point position is marked as white; Segmenting the three-dimensional image according to the positions of a plurality of pixels marked in white to obtain a plurality of local three-dimensional silver images; Obtaining edge pixel position information of each local three-dimensional silver image; A plurality of local three-dimensional silver images are spliced ​​according to the edge pixel position information to obtain a three-dimensional silver area image.

[0008] Preferably, the step of obtaining the actual resistance value of silver according to the geometric feature information, the distribution ratio value and the initial comprehensive resistivity comprises: Acquire the length of the silver-based fiber and the cross-sectional area of ​​the silver-based fiber according to the geometric characteristic information; The comprehensive resistance value of the silver-based fiber is calculated 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; The actual resistance value of silver is calculated according to the comprehensive resistance value and distribution ratio of the silver-based fiber, wherein the calculation formula is: ; Among them, S(D) represents the actual resistance value of silver, Z(D) represents the comprehensive resistance value of silver-based fiber, and F(Z) represents the distribution ratio value.

[0009] 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 comprises: Obtain the temperature coefficient of silver-based fibers; The current resistance value of silver is calculated according to the temperature coefficient, the current temperature, the initial temperature value and the actual resistance value of silver, wherein the calculation formula is: ; 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; Acquire the length of the silver-based fiber and the cross-sectional area of ​​the silver-based fiber according to the geometric characteristic information; The current resistance value is obtained, and the current conductivity of silver is calculated 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.

[0010] Preferably, the step of obtaining a curve diagram of the relationship between silver content and electrical conductivity, and obtaining the silver content according to the curve diagram and the current electrical conductivity of silver, comprises: obtaining a plurality of preset silver contents, and obtaining the conductivity of each preset silver content; An XY coordinate axis is established 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 a connection point, and plot the multiple connection points on an XY coordinate axis through a curve to obtain a curve graph; The current conductivity of silver is matched according to the curve to obtain the silver content.

[0011] The present application also provides a system for detecting the silver content in a silver-based composite filter element, comprising: The first acquisition module is used to obtain the initial temperature value and initial comprehensive resistivity of the silver-based fiber; A second acquisition module is used to acquire a three-dimensional image of the silver-based fiber, and acquire a distribution ratio value of silver according to the three-dimensional image; The third acquisition module is used to obtain geometric characteristic information of the silver-based fiber, and obtain the actual resistance value of the silver according to the geometric characteristic information, the distribution ratio value and the initial comprehensive resistivity; A calculation module, used to obtain the current temperature of the silver-based fiber, and calculate the current conductivity of the silver according to the current temperature, the initial temperature value and the actual resistance value of the silver; The fourth acquisition module is used to obtain a relationship curve diagram of silver content-conductivity, and obtain the silver content according to the relationship curve diagram and the current conductivity of silver.

[0012] Preferably, the third acquisition module comprises: A first acquisition unit, 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; 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, 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; The second calculation unit is used to calculate the actual resistance value of silver according to the comprehensive resistance value and distribution ratio value of the silver-based fiber, wherein the calculation formula is: ; Among them, S(D) represents the actual resistance value of silver, Z(D) represents the comprehensive resistance value of silver-based fiber, and F(Z) represents the distribution ratio value.

[0013] The present invention also provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned method for detecting the silver content in the silver-based composite filter element when executing the computer program.

[0014] The present invention also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned method for detecting the silver content in the silver-based composite filter element are implemented.

[0015] The beneficial effects of the present invention are as follows: the present invention obtains a three-dimensional image of the silver-based fiber, and obtains the distribution ratio value of silver according to the three-dimensional image, obtains the geometric feature information of the silver-based fiber, and obtains the actual resistance value of the silver according to the geometric feature information, the distribution ratio value and the initial comprehensive resistivity, and can perform a comprehensive analysis by combining the geometric feature information, the distribution ratio value and the comprehensive resistivity to obtain more accurate silver content information, obtains the current temperature of the silver-based fiber, and calculates the current conductivity of the silver according to the current temperature, the initial temperature value and the actual resistance value of the silver, and since the conductivity is significantly affected by the temperature, by considering the current temperature and the initial temperature value, it can be Temperature compensation is performed on the conductivity to ensure that the calculated conductivity more accurately reflects the actual silver content, a silver content-conductivity relationship curve is obtained, and the silver content is obtained based on the relationship curve and the current conductivity of silver. Since the curve provides the relationship between the silver content and the conductivity, the conductivity change under different silver contents can be intuitively displayed. This visualization method is helpful to understand and analyze the relationship between the distribution of silver and the conductivity characteristics. Through the curve, the silver content can be accurately deduced based on the actually measured conductivity. The curve takes into account the influence of different silver contents on the conductivity, and can reduce the error caused by a single measurement or calculation method. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 The figure is a schematic diagram of a method flow according to an embodiment of the present invention.

[0017] Figure 2 FIG. 1 is a schematic diagram of a device structure according to an embodiment of the present invention.

[0018] Figure 3 A schematic diagram of the internal structure of a computer device according to an embodiment of the present application.

[0019] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0020] 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.

[0021] like Figure 1-Figure 3 As shown, the present application provides a method for detecting the silver content in a silver-based composite filter element, comprising: S1, obtaining the initial temperature value and initial comprehensive resistivity of the silver-based fiber; S2, obtaining a three-dimensional image of the silver-based fiber, and obtaining a distribution ratio value of silver according to the three-dimensional image; S3, obtaining geometric characteristic information of the silver-based fiber, and obtaining the actual resistance value of the silver according to the geometric characteristic information, the distribution ratio value and the initial comprehensive resistivity; S4, obtaining the current temperature of the silver-based fiber, and calculating the current conductivity of the silver according to the current temperature, the initial temperature value and the actual resistance value of the silver; S5. Obtain a relationship curve diagram of silver content-conductivity, and obtain the silver content according to the relationship curve diagram and the current conductivity of silver.

[0022] As described in the above steps S1-S5, the vehicle air conditioning filter is an important component installed in the vehicle air conditioning system, which is mainly used to filter and purify the air entering the car. It can effectively remove harmful substances such as particulate matter, dust, pollen, bacteria, viruses, odors, etc. in the air, and provide a cleaner and healthier air environment in the car. At present, the vehicle air conditioning filter mainly uses silver-based fibers to achieve the filtering and purification effect. Silver-based fibers refer to fibers that are prepared by high-tech antibacterial technology using 99.99% pure silver and polymer silver-based fibers to kill or hinder the growth and reproduction of bacteria and reduce their number and activity. The reason why silver-based fibers are antibacterial is that pure silver is playing a role. The antibacterial principle of pure silver is that at the molecular level, the presence of catalysts (such as water or heat) will activate the activity of silver and release silver ions, which will bind to receptors on the cell wall to prevent cell respiration, destroy the DNA of bacteria and prevent them from replicating. Therefore, the filtering effect of the air conditioning filter can be detected by detecting the silver content in the silver-based fiber. The current method for detecting the silver content in the silver-based fiber is mainly through atomic absorption spectroscopy, 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, and the silver content in the silver-based fiber cannot be known in real time, and thus the filtering effect of the air conditioning filter cannot be detected in real time.The present invention obtains a three-dimensional image of a silver-based fiber, and obtains a distribution ratio value of silver according to the three-dimensional image, obtains geometric feature information of the silver-based fiber, and obtains an actual resistance value of silver according to the geometric feature information, the distribution ratio value 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 volume distribution ratio of silver in the silver-based fiber, the silver content information cannot be obtained only by the distribution ratio. Therefore, it is necessary to further comprehensively analyze the silver content by combining the geometric feature information, the distribution ratio value and the comprehensive resistivity to obtain the actual resistance value information of silver, so as to facilitate subsequent detection to obtain more accurate silver content. By obtaining the current temperature of the silver-based fiber, the current conductivity of the silver is calculated according to the current temperature, the initial temperature value and the actual resistance value of the silver. Since the conductivity is significantly affected by temperature, by considering the current temperature and The initial temperature value can be used to perform temperature compensation on the conductivity to ensure that the calculated conductivity more accurately reflects the actual content of silver. Real-time acquisition and calculation of conductivity can monitor the performance of silver-based fibers 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. The conductivity obtained after compensation is more realistic, which helps to more accurately evaluate the distribution and content of silver. A silver content-conductivity relationship curve is obtained, and the silver content is obtained based on the relationship curve and the current conductivity of silver. Since the curve provides the relationship between the silver content and the conductivity, the conductivity changes under different silver contents can be intuitively displayed. This visual method helps to understand and analyze the relationship between the distribution of silver and the conductivity characteristics. Through the curve, the silver content can be accurately deduced based on the actually measured conductivity. The curve takes into account the influence of different silver contents on the conductivity, which can reduce the errors caused by a single measurement or calculation method.

[0023] In one embodiment, the step S2 of obtaining the distribution ratio of silver according to the three-dimensional image includes: S21, acquiring 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 area image; S22, obtaining a surface area and a thickness dimension of the silver region image, and obtaining a first volume of the silver region image according to the product of the surface area and the thickness dimension; S23, acquiring a second volume of the three-dimensional image; S24. Obtain a distribution ratio of silver according to a ratio of the first volume to the second volume.

[0024] 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 is helpful to accurately separate the silver region in the image from other regions, thereby improving the accuracy of segmentation. 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 the two-dimensional image, the actual layout and volume of silver in the fiber can be more comprehensively analyzed. The volume fraction or content of silver can be more accurately calculated through the obtained three-dimensional silver region image. The surface area and thickness size of the silver region image are obtained, and the first volume of the silver region image is obtained according to the product of the surface area and the thickness size, and the second volume of the three-dimensional image is obtained. Then, according to the ratio of the first volume to the second volume, the distribution ratio of silver is obtained, wherein the calculation formula is: , where F(Z) represents the distribution percentage of silver, D1 represents the first volume, and D2 represents the second volume. The first volume calculated by the actual measured surface area and thickness dimensions can provide an accurate estimate of the volume of the silver region. By comparing it with the second volume (actual volume) in the three-dimensional image, the distribution percentage of silver can be estimated more accurately, thereby improving the accuracy of silver content detection. The volume calculation of the silver region is compared with the volume of the overall three-dimensional image. Compared with directly measuring or calculating the silver content, this method simplifies the calculation process and reduces the steps required for complex measurements. By calculating the volume ratio, the distribution percentage of silver can be obtained. This method reduces the impact caused by a single measurement error, making the detection results more consistent and reliable.

[0025] In one embodiment, the step S21 of segmenting the three-dimensional image according to the grayscale histogram to obtain the three-dimensional silver area image includes: S211, obtaining a plurality of grayscale values ​​according to the grayscale histogram, and obtaining a corresponding pixel point position according to each of the grayscale values; S212, obtaining a preset grayscale threshold, and determining whether each of the grayscale values ​​is greater than the preset grayscale threshold; If the grayscale value is greater than a preset grayscale threshold, the corresponding pixel point position is marked as black; If the grayscale value is not greater than the preset grayscale threshold, the corresponding pixel point position is marked as white; S213, segmenting the three-dimensional image according to the positions of a plurality of pixels marked as white to obtain a plurality of local three-dimensional silver images; S214, obtaining edge pixel position information of each local three-dimensional silver image; S215 , stitching multiple local three-dimensional silver images according to the edge pixel position information to obtain a three-dimensional silver area image.

[0026] As described in the above steps S211-S215, the present invention obtains multiple grayscale values ​​according to the grayscale histogram, and obtains the corresponding pixel position according to each grayscale value, obtains the preset grayscale threshold, and determines whether each grayscale value is greater than the preset grayscale threshold. If the grayscale value is greater than the preset grayscale threshold, the corresponding pixel position is marked as black, otherwise it is marked as white, and the three-dimensional image is segmented according to the multiple pixel positions marked as white to obtain multiple local three-dimensional silver images. In this way, by using the grayscale histogram and the threshold to mark the pixels, the image can be effectively segmented into silver areas and non-silver areas. This method can separate the silver area in the silver-based fiber from the background, so as to more clearly identify and extract the distribution of silver. By marking the pixels and performing the segmentation of the local three-dimensional image, the tiny area 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 distribution, the segmentation according to the multiple grayscale values ​​and the preset threshold is carried out. Segmentation can make judgments based on the actual grayscale features in the image instead of 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 local three-dimensional silver image obtained by marking and segmentation can provide detailed regional information, which is helpful for the volume distribution analysis of silver. By obtaining the edge pixel position information of each local three-dimensional silver image, and splicing multiple local three-dimensional silver images according to the edge pixel position information, a three-dimensional silver regional image can be obtained. By splicing multiple local three-dimensional images, a complete three-dimensional silver regional image can be generated, thereby providing comprehensive silver distribution information, rather than just a local view, which helps to more accurately analyze the distribution of silver in the entire fiber. Stitching through edge pixel position information can maintain the details and accuracy of the image and ensure that the boundaries of the silver area are accurately represented. The precise alignment of edge pixels can reduce overlap and errors in the stitching process, thereby improving the accuracy and consistency of the overall three-dimensional image.

[0027] In one embodiment, the step S3 of obtaining the actual resistance value of silver according to the geometric feature information, the distribution ratio value and the initial comprehensive resistivity includes: S31, acquiring the length of the silver-based fiber and the cross-sectional area of ​​the silver-based fiber according to the geometric feature information; S32, 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; S33, calculating the actual resistance value of silver according to the comprehensive resistance value and distribution ratio of the silver-based fiber, wherein the calculation formula is: ; Among them, S(D) represents the actual resistance value of silver, Z(D) represents the comprehensive resistance value of silver-based fiber, and F(Z) represents the distribution ratio value.

[0028] As described in the above steps S31-S33, the present invention obtains the length of the silver-based fiber and the 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 according to the length of the silver-based fiber, the cross-sectional area of ​​the silver-based fiber and the initial comprehensive resistivity. In this way, by measuring the length and cross-sectional area of ​​the silver-based fiber and calculating the comprehensive resistance value in combination with the initial resistivity, the silver content can be indirectly inferred. The conductivity of silver directly affects the resistance value, so the comprehensive resistance value can reflect the actual existence 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 of 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 characteristics 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 A general method for detecting silver content. Since silver-based fibers are composed of silver and other materials, the actual resistance value of silver needs to be calculated based on the distribution ratio of silver in the silver-based fibers and the comprehensive resistance value of the silver-based fibers. The comprehensive resistance value and the distribution ratio value can be used to more accurately estimate the actual resistance value of silver. The actual resistance value of silver reflects the purity and distribution of silver. The resistance value of silver obtained by precise calculation is combined with the temperature to further calculate a more accurate conductivity of silver. The silver content can be more accurately estimated by combining the silver content-conductivity relationship curve, especially in the case of uneven silver distribution (due to the aggregation or mixing of silver in the fiber, it will cause uneven distribution of silver in the fiber). The error caused by uneven silver distribution can be eliminated or reduced by calculating the comprehensive resistance value and the distribution ratio value. This method can more accurately estimate the actual resistance value of silver, thereby improving the accuracy of the actual resistance value detection of silver.

[0029] In one embodiment, the step S4 of calculating the current conductivity of silver according to the current temperature, the initial temperature value and the actual resistance value of silver comprises: S41, obtaining the temperature coefficient of the silver-based fiber; S42, 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: ; 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; S43, obtaining the length of the silver-based fiber and the cross-sectional area of ​​the silver-based fiber according to the geometric feature information; S44, 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.

[0030] 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 resistance value change caused by the temperature change can be compensated, so as to more accurately measure the resistance value of the silver-based fiber under actual use conditions. 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 real performance of the silver-based fiber in the actual application environment. The length of the silver-based fiber and the cross-sectional area of ​​the silver-based fiber are obtained according to the geometric feature information. By obtaining the current resistance value, and The current conductivity of silver is calculated based on the current resistance value, the length of the silver-based fiber and the cross-sectional area of ​​the silver-based fiber. In this way, the actual content of silver in the silver-based fiber can be intuitively reflected by calculating the conductivity. Because the conductivity of silver is higher and the resistance value is lower, more accurate conductivity values ​​can be obtained by using the length and cross-sectional area for calculation, which reduces the errors that may be caused by inconsistent fiber geometric characteristics and improves the accuracy of silver content detection. The conductivity calculation provides indirect compensation for temperature effects because the change in conductivity can more accurately reflect the actual conductive properties of silver without being directly affected by temperature fluctuations. The conductivity calculation takes into account the geometric characteristics and resistance value of the fiber and provides an overall electrical performance evaluation of the silver-based fiber, which helps to understand the distribution and conductivity of silver in the fiber.

[0031] In one embodiment, the step S5 of obtaining a curve diagram of the relationship between silver content and electrical conductivity, and obtaining the silver content according to the curve diagram and the current electrical conductivity of silver, comprises: S51, obtaining a plurality of preset silver contents, and obtaining the conductivity of each preset silver content; S52, establishing an XY coordinate axis with the preset silver content as the X axis and the conductivity as the Y axis; S53, marking each preset silver content and corresponding conductivity as a connection point, and plotting a plurality of connection points on an XY coordinate axis through a curve to obtain a curve graph; S54, matching the current conductivity of silver according to the curve chart to obtain the silver content.

[0032] As described in the above steps S51-S54, the present invention obtains multiple preset silver contents and the conductivity of each preset silver content, and establishes an XY 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 a connection point, and plots the multiple connection points on the XY coordinate axis 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 a 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 actual measured conductivity data and the known silver content, reducing the error that may be caused 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 under 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 work efficiency. The curve graph can clearly display the nonlinear relationship between the silver content and the conductivity, so that the content change in a small range can also be accurately captured, providing a high-contrast detection result.

[0033] The present application also provides a system for detecting the silver content in a silver-based composite filter element, comprising: The first acquisition module is used to obtain the initial temperature value and initial comprehensive resistivity of the silver-based fiber; A second acquisition module is used to acquire a three-dimensional image of the silver-based fiber, and acquire a distribution ratio value of silver according to the three-dimensional image; The third acquisition module is used to obtain geometric characteristic information of the silver-based fiber, and obtain the actual resistance value of the silver according to the geometric characteristic information, the distribution ratio value and the initial comprehensive resistivity; A calculation module, used to obtain the current temperature of the silver-based fiber, and calculate the current conductivity of the silver according to the current temperature, the initial temperature value and the actual resistance value of the silver; The fourth acquisition module is used to obtain a relationship curve diagram of silver content-conductivity, and obtain the silver content according to the relationship curve diagram and the current conductivity of silver.

[0034] In one embodiment, the third acquisition module includes: A first acquisition unit, 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; 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, 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; The second calculation unit is used to calculate the actual resistance value of silver according to the comprehensive resistance value and distribution ratio value of the silver-based fiber, wherein the calculation formula is: ; Among them, S(D) represents the actual resistance value of silver, Z(D) represents the comprehensive resistance value of silver-based fiber, and F(Z) represents the distribution ratio value.

[0035] The present invention also provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned method for detecting the silver content in the silver-based composite filter element when executing the computer program.

[0036] The present invention also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned method for detecting the silver content in the silver-based composite filter element are implemented.

[0037] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and 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-mentioned methods. Among them, any reference to memory, storage, database or other media provided in this application and used in the embodiments may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many 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), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0038] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the presence of other identical elements in the process, device, article or method including the element.

[0039] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for detecting silver content in a silver-based composite filter element, characterized in that: include: Obtaining the initial temperature value and initial comprehensive resistivity of the silver-based fiber; Obtaining a three-dimensional image of the silver-based fiber, and obtaining a distribution ratio value of silver according to the three-dimensional image; Acquire geometric characteristic information of the silver-based fiber, and acquire the actual resistance value of the silver according to the geometric characteristic information, the distribution ratio value and the initial comprehensive resistivity; Acquiring the current temperature of the silver-based fiber, and calculating the current conductivity of the silver according to the current temperature, the initial temperature value and the actual resistance value of the silver; A relationship curve diagram of silver content-conductivity is obtained, and the silver content is obtained according to the relationship curve diagram and the current conductivity of silver.

2. The method for detecting silver content in a silver-based composite filter element according to claim 1, characterized in that: The step of obtaining the distribution ratio value of silver according to the three-dimensional image comprises: Acquire 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 area image; Acquire a surface area and a thickness dimension of the silver region image, and acquire a first volume of the silver region image according to the product of the surface area and the thickness dimension; acquiring a second volume of three-dimensional images; According to the ratio of the first volume to the second volume, the distribution ratio of silver is obtained.

3. The method for detecting silver content in a silver-based composite filter element according to claim 2, characterized in that: The step of segmenting the three-dimensional image according to the grayscale histogram to obtain a three-dimensional silver area image comprises: Acquire multiple grayscale values ​​according to the grayscale histogram, and acquire a corresponding pixel point position according to each of the grayscale values; Obtaining a preset grayscale threshold, and determining whether each of the grayscale values ​​is greater than the preset grayscale threshold; If the grayscale value is greater than a preset grayscale threshold, the corresponding pixel point position is marked as black; If the grayscale value is not greater than the preset grayscale threshold, the corresponding pixel point position is marked as white; Segmenting the three-dimensional image according to the positions of a plurality of pixels marked in white to obtain a plurality of local three-dimensional silver images; Obtaining edge pixel position information of each local three-dimensional silver image; A plurality of local three-dimensional silver images are spliced ​​according to the edge pixel position information to obtain a three-dimensional silver area image.

4. The method for detecting silver content in a silver-based composite filter element according to claim 1, characterized in that: The step of obtaining the actual resistance value of silver according to the geometric feature information, the distribution ratio value and the initial comprehensive resistivity comprises: Acquire the length of the silver-based fiber and the cross-sectional area of ​​the silver-based fiber according to the geometric characteristic information; The comprehensive resistance value of the silver-based fiber is calculated 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; The actual resistance value of silver is calculated according to the comprehensive resistance value and distribution ratio of the silver-based fiber, wherein the calculation formula is: ； Among them, S(D) represents the actual resistance value of silver, Z(D) represents the comprehensive resistance value of silver-based fiber, and F(Z) represents the distribution ratio value.

5. The method for detecting silver content in a silver-based composite filter element according to claim 1, characterized in that: 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 comprises: Obtain the temperature coefficient of silver-based fibers; The current resistance value of silver is calculated according to the temperature coefficient, the current temperature, the initial temperature value and the actual resistance value of silver, wherein the calculation formula is: ； 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; Acquire the length of the silver-based fiber and the cross-sectional area of ​​the silver-based fiber according to the geometric characteristic information; The current resistance value is obtained, and the current conductivity of silver is calculated 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.

6. The method for detecting silver content in a silver-based composite filter element according to claim 1, characterized in that: The step of obtaining a curve diagram of the relationship between silver content and electrical conductivity, and obtaining the silver content according to the curve diagram and the current electrical conductivity of silver, comprises: obtaining a plurality of preset silver contents, and obtaining the conductivity of each preset silver content; An XY coordinate axis is established 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 a connection point, and plot the multiple connection points on an XY coordinate axis through a curve to obtain a curve graph; The current conductivity of silver is matched according to the curve to obtain the silver content.

7. A system for detecting silver content in a silver-based composite filter element, characterized in that: include: The first acquisition module is used to obtain the initial temperature value and initial comprehensive resistivity of the silver-based fiber; A second acquisition module is used to acquire a three-dimensional image of the silver-based fiber, and acquire a distribution ratio value of silver according to the three-dimensional image; The third acquisition module is used to obtain geometric characteristic information of the silver-based fiber, and obtain the actual resistance value of the silver according to the geometric characteristic information, the distribution ratio value and the initial comprehensive resistivity; A calculation module, used to obtain the current temperature of the silver-based fiber, and calculate the current conductivity of the silver according to the current temperature, the initial temperature value and the actual resistance value of the silver; The fourth acquisition module is used to obtain a relationship curve diagram of silver content-conductivity, and obtain the silver content according to the relationship curve diagram and the current conductivity of silver.

8. The silver content detection system in the silver-based composite filter element according to claim 7, characterized in that: The third acquisition module includes: A first acquisition unit, 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; 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, 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; The second calculation unit is used to calculate the actual resistance value of silver according to the comprehensive resistance value and distribution ratio value of the silver-based fiber, wherein the calculation formula is: ； Among them, S(D) represents the actual resistance value of silver, Z(D) represents the comprehensive resistance value of silver-based fiber, and F(Z) represents the distribution ratio value.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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