A weather resistance detection device for inductance products and a method thereof

Abstract

The application relates to the technical field of weather resistance detection, and discloses a weather resistance detection equipment for inductance products and a method thereof. The method comprises the following steps: S1, dividing a target area into multiple detection area units; S2, setting rotating units on each target detection object placement point; S3, setting a plurality of state monitoring modules; S4, dividing target detection objects into a plurality of target detection groups; S5, sequentially carrying out salt mist detection on each target detection group, and collecting state information data of each target detection object; S6, analyzing the state information data of each target detection object to obtain a state deviation index of each target detection object; and S7, analyzing the state deviation indexes of each target detection object in each target detection group to obtain a salt mist detection quality rating of the batch of inductance products. The salt mist detection quality rating can directly reflect the quality of the batch of inductance products, and helps enterprises to carry out corresponding processing according to the product quality.

Description

Technical Field

[0001] This invention relates to the field of weather resistance testing technology, and specifically to a weather resistance testing device and method for inductor products. Background Technology

[0002] In today's booming electronics industry, inductors, as core electronic components, are widely used in various electronic devices, covering high-end fields such as consumer electronics, industrial control, and even aerospace. However, inductors are easily affected by various factors such as temperature, humidity, and salt spray under complex and changing environmental conditions, which can lead to problems such as inductance value deviation and reduced insulation performance. These problems can cause unstable performance of electronic devices and even cause failures. Therefore, conducting weather resistance testing on inductor products can detect potential problems in advance, thereby ensuring the stability of product performance.

[0003] In the weather resistance testing system for inductor products, salt spray testing assesses the inductor products' tolerance to salt spray environments by simulating the corrosive effect of salt spray in a marine climate. In existing technologies, salt spray testing typically involves placing the inductor products in a salt spray test chamber, which continuously sprays a specific concentration of sodium chloride salt spray onto the inductor products. After the test, the inductor products are removed from the test chamber for visual and electrical inspection.

[0004] However, we cannot obtain information about the changes in inductor products during the salt spray test. Since we cannot monitor them in real time, we can only infer the performance evolution of inductor products during the entire salt spray erosion process based on the final results after the test. This inference often involves large errors and uncertainties. Summary of the Invention

[0005] The purpose of this invention is to provide a weather resistance testing device and method for inductive products, and to solve the following technical problems: How to improve the accuracy of salt spray testing for inductive products.

[0006] The objective of this invention can be achieved through the following technical solutions: A method for testing the weather resistance of inductive products, the method comprising the following steps: S1: Divide the target area in the salt spray test chamber into several test area units; set the target test object placement point in each test area unit, and number each target test object placement point; S2: A rotation unit is set at each target detection object placement point; the rotation unit is used to drive the target detection object to rotate automatically at the target detection object placement point; S3: Several status monitoring modules are set in the salt spray test chamber; each status monitoring module corresponds one-to-one with a detection area unit; S4: Select several target test objects from the inductor products produced in this batch according to the preset screening rules; and divide the target test objects into several target test groups; S5: Conduct salt spray testing on each target detection group in sequence, and collect status information data of each target detection object in each target detection group through each status monitoring module during the testing process; S6: The state information data of each target detection object in each target detection group is analyzed by the analysis module to obtain the state deviation index of each target detection object in each target detection group; S7: By analyzing the state deviation index of each target detection object in each target detection group through the analysis module, the salt spray test quality rating of this batch of inductor products is obtained.

[0007] As a further aspect of the present invention: the status monitoring module includes an appearance monitoring unit and an electrical monitoring unit; the status information data includes appearance status information data and electrical status information data.

[0008] As a further aspect of the present invention: the detection process for any target detection group is as follows: S10: The target objects of this target detection group are fixed to each rotating unit; S20: The salt spray test chamber conducts a salt spray test on the target detection group according to the preset salt spray test parameters; and obtains the appearance status information data and electrical status information data of each target detection object in the target detection group through the collection and analysis of each status monitoring module until the preset test duration is reached.

[0009] As a further aspect of the present invention: the appearance status information data includes a surface color anomaly index and a surface smoothness anomaly index.

[0010] As a further aspect of the present invention: In step S20, the process of obtaining the appearance state information data of the target detection object corresponding to the i-th target detection object placement point in any target detection group is as follows: S201: When the rotating unit drives the target detection object to rotate for the nth revolution from the initial position, the appearance monitoring unit begins to collect image information data and three-dimensional information data of the target detection object; when the rotating unit drives the target detection object back to the initial position, the appearance monitoring unit stops collecting data. S202: Based on the image information data and three-dimensional information data of the target detection object during this process, construct a digital twin model of the target detection object rotating for the nth time; S203: Divide the surface of the digital twin model of the target object after rotating n times into several basic reference units, and identify the color anomaly level and flatness anomaly level of each basic reference unit. S204: Based on the number of basic reference units for each color anomaly level and the number of basic reference units for each smoothness anomaly level, the surface color anomaly index and surface smoothness anomaly index of the target object are obtained.

[0011] As a further aspect of the present invention: the recognition unit is a trained convolutional neural network model, used to perform color recognition and flatness recognition based on each basic reference unit, and to obtain the color anomaly level and flatness anomaly level of each basic reference unit.

[0012] As a further aspect of the present invention: in step S20, the process of obtaining the electrical status information data of the target detection object corresponding to the i-th target detection object placement point of any target detection group is as follows; S210: After the rotating unit drives the target object to stop rotating each time, the electrical monitoring unit collects the inductance value and insulation resistance value of the target object. S220: Based on the inductance and insulation resistance values ​​of the target object, the electrical anomaly index of the target object is obtained.

[0013] As a further aspect of the present invention: the process for determining the salt spray test quality rating of this batch of inductor products is as follows: S100: Analyze the surface color anomaly index, surface flatness anomaly index, and electrical anomaly index of each target detection object in each target detection group to obtain the state deviation index of each target detection object in each target detection group; S200: Based on the analysis of the state deviation index of each target detection object in each target detection group, the state deviation level of each target detection object in each target detection group is obtained; S300: Based on the analysis of the number of target detection objects in each state deviation level, determine the comprehensive quality anomaly index of all target detection objects; S400: Determine the salt spray test quality rating of this batch of inductor products based on the comprehensive quality anomaly index of the target test object.

[0014] As a further aspect of the present invention: the preset surface color anomaly index B of the target detection object corresponding to the i-th target detection object placement point. in0 Surface smoothness anomaly index P in0 and preset electrical anomaly index G in0 The acquisition process is as follows: S1001: Several inductor products that meet the qualification standards are used as reference test objects; the reference test objects are divided into several reference test groups; the number of reference test objects in the reference test groups is the same as the number of placement points of the target test object; S1002: Place the control test object in any control test group on the target test object placement point, and conduct a salt spray test on the control test object according to the preset salt spray test parameters; and obtain the surface color abnormality index, surface flatness abnormality index and preset electrical abnormality index of each control test object in the control test group after the nth rotation through the data collected and analyzed by each state monitoring module. S1003: Analyze the surface color anomaly index, surface flatness anomaly index, and preset electrical anomaly index of the control test object corresponding to the i-th target test object placement point in each control test group after the n-th rotation, and obtain the preset surface color anomaly index B of the i-th target test object placement point. in0 Surface smoothness anomaly index P in0 and preset electrical anomaly index G in0 .

[0015] A weathering resistance testing device for inductive products includes a salt spray test chamber, wherein the salt spray test chamber is further equipped with: Several rotating units are corresponding one-to-one with each target detection object placement point. Each rotating unit includes a rotating component and a fixing component. The fixing component is disposed on the rotating component and is used to fix the target detection object on the rotating component. The rotating component is rotatably disposed on each target detection object placement point and is used to drive the target detection object to rotate automatically on the target detection object placement point. Several status monitoring modules correspond one-to-one with each detection area unit, and are used to obtain status information data of the target detection object in the corresponding detection area unit; The analysis module is used to analyze the status information data of each target detection object in each target detection group to obtain the status deviation index of each target detection object in each target detection group; and by analyzing the status deviation index of each target detection object in each target detection group, the salt spray test quality rating of this batch of inductor products is obtained.

[0016] The beneficial effects of this invention are: (1) The present invention divides the salt spray test chamber into several detection area units; and sets a target detection object placement point in each detection area unit, and then drives the target detection object to rotate automatically at the target detection object placement point through the rotation unit; and sets a status monitoring module in each detection area unit; so that the status monitoring module can collect product appearance information data from multiple angles of the target detection object, avoiding the omission of certain defects such as corrosion, discoloration, and blistering due to a single monitoring angle; at the same time, the appearance information data from multiple angles can provide richer information for image analysis algorithms, which helps to more accurately identify and quantify appearance changes. For example, when calculating the corrosion area, images taken from different angles can complement each other, reducing errors caused by occlusion or viewing angle issues, thereby improving the accuracy of the state deviation index calculation. Salt spray testing is performed sequentially on each target detection group, and state information data of each target detection object in each group is collected through each state monitoring module. Then, the state information data of each target detection object in each group is analyzed by the analysis module to obtain the state deviation index of each target detection object in each group. Finally, the salt spray test quality rating of this batch of inductor products is obtained through further analysis of the state deviation index of each target detection object in each group. The salt spray test quality rating can intuitively reflect the quality of this batch of inductor products, helping companies to take appropriate actions based on product quality. (2) By introducing the state deviation index, this invention enables precise comparative analysis of the target test object and the control test object. In the salt spray test scenario, the layout of the test chamber is often difficult to achieve absolute uniformity, which can easily lead to uneven salt spraying and thus affect the accuracy and reliability of the test results. The state deviation index quantifies the state difference between the target test object and the control test object in the same position under the salt spray environment. Through comparative analysis, it effectively eliminates the interference factors caused by uneven salt spraying due to the test chamber layout problem, so that the test results can more realistically and accurately reflect the actual performance of the test object in the salt spray environment, providing a solid and reliable basis for the quality assessment and improvement of inductor products. Attached Figure Description

[0017] The invention will now be further described with reference to the accompanying drawings.

[0018] Figure 1 This is a flowchart of a method according to an embodiment of the present invention; Figure 2 This is a diagram showing the device module composition of one embodiment of the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] Please see Figure 1 As shown, in one embodiment, a weather resistance testing method for inductive products is provided, suitable for large-scale salt spray testing equipment; the testing method includes the following steps: S1: Divide the target area in the salt spray test chamber into several test area units; set the target test object placement point in each test area unit, and number each target test object placement point; Specifically, the target area is the area in the salt spray test chamber used to place the object to be tested; the placement point of each target object is numbered i, i∈[1,2,3,…]; S2: A rotation unit is set at each target detection object placement point; the rotation unit is used to drive the target detection object to rotate automatically at the target detection object placement point; Specifically, the rotating unit includes a rotating component and a fixing component. The fixing component is disposed on the rotating component and is used to fix the target detection object on the rotating component. The rotating component is rotatably disposed at each target detection object placement point and is used to drive the target detection object to rotate automatically at the target detection object placement point. S3: Several status monitoring modules are set in the salt spray test chamber; each status monitoring module corresponds one-to-one with a detection area unit; Specifically, the status monitoring module is used to monitor the status of the target detection object within the corresponding detection area unit; S4: Select several target test objects from the inductor products produced in this batch according to the preset screening rules; and divide the target test objects into several target test groups; Specifically, the preset screening rule is to test each inductor product, and inductor products that are functional and have no appearance defects can be used as target test objects; and the number of target test objects in each target test group is less than or equal to the number of test area units. S5: Conduct salt spray testing on each target detection group in sequence, and collect status information data of each target detection object in each target detection group through each status monitoring module during the testing process; Specifically, the number of target detection objects placed at each target detection point is less than 2 each time; S6: The state information data of each target detection object in each target detection group is analyzed by the analysis module to obtain the state deviation index of each target detection object in each target detection group; S7: By analyzing the state deviation index of each target detection object in each target detection group through the analysis module, the salt spray test quality rating of this batch of inductor products is obtained. Through the above technical solution, this embodiment divides the salt spray test chamber into several detection area units; and sets target detection object placement points in each detection area unit, and numbers each target detection object placement point; a rotation unit is set on each target detection object placement point; the rotation unit is used to drive the target detection object to rotate automatically on the target detection object placement point; then, a status monitoring module is set in each detection area unit; this allows the status monitoring module to collect product appearance information data from multiple angles of the target detection object, avoiding the omission of defects such as corrosion, discoloration, and blistering in certain parts due to a single monitoring angle; at the same time, the appearance information data from multiple angles can provide richer information for image analysis algorithms, which helps to more accurately identify and quantify appearance changes. For example, when calculating the corrosion area, images taken from different angles can complement each other, reducing errors caused by occlusion or viewing angle issues, thereby improving the accuracy of the state deviation index calculation; then, according to preset screening rules, several target inspection objects are selected from the inductor products produced in this batch; ensuring the quality and representativeness of the inspection samples and improving the effectiveness of the inspection results; then, salt spray testing is carried out on each target inspection group in sequence to avoid mutual interference and ensure the stability of the inspection environment; during the inspection process, the state information data of each target inspection object in each target inspection group is collected by each state monitoring module; then, the state information data of each target inspection object in each target inspection group is analyzed by the analysis module to obtain the state deviation index of each target inspection object in each target inspection group; and then, the analysis module... Analyzing the state deviation index of each target test object in each target test group yields the salt spray test quality rating for this batch of inductor products. This rating directly reflects the quality of the batch, helping companies to take appropriate actions based on product quality. For example, inductors with poor salt spray test quality ratings can be supplied to low-end markets with less stringent salt spray resistance requirements or used as reference samples in internal testing and R&D phases to reduce production costs and avoid resource waste. Conversely, inductors with high salt spray test quality ratings can be prioritized for supply to high-end markets with stringent quality requirements, such as aerospace and precision instruments. Their superior salt spray resistance enhances their market competitiveness in these high-end sectors, earning the company a good reputation and higher economic benefits. Furthermore, companies can use inductors with different quality ratings to conduct in-depth analysis of each stage of the production process, identifying factors that may lead to quality differences, such as fluctuations in raw material quality or minor changes in production process parameters. This allows for optimization and improvement of the production process, improving the overall quality level of inductor products from the source, achieving stable product quality improvement, and ensuring sustainable development for the company.

[0021] In one embodiment of the present invention, the status monitoring module includes an appearance monitoring unit and an electrical monitoring unit; the status information data includes appearance status information data and electrical status information data; Through the above technical solution, this embodiment monitors the changes in the appearance of the target object during salt spray testing using an appearance monitoring unit. Specifically, the appearance monitoring unit may include a high-definition camera and a laser scanner with added protective measures (such as adding an anti-salt spray coating). The high-definition camera captures real-time changes in the appearance of the target object in the salt spray environment, such as surface corrosion, discoloration, blistering, and peeling. Image processing technology can accurately analyze the corrosion area and degree, while the laser scanner can quickly and accurately acquire the three-dimensional contour information of the target object. During the salt spray test, by comparing the three-dimensional data at different time points, minute corrosion pits, protrusions, and other defects on the product surface can be detected, and changes in appearance quality can be identified in a timely manner. The electrical monitoring unit monitors the changes in the electrical state of the target object during salt spray testing. Specifically, the electrical monitoring unit may include an inductance tester and an insulation resistance tester. The inductance tester can monitor the changes in the inductance value of the target object in the salt spray environment in real time, and can identify the deterioration of inductance performance in a timely manner. The insulation resistance tester can monitor the changes in insulation resistance between different parts of the target object in real time.

[0022] As one embodiment of the present invention, the detection process for any target detection group is as follows: S10: The target objects of this target detection group are fixed to each rotating unit; S20: The salt spray test chamber conducts a salt spray test on the target detection group according to the preset salt spray test parameters; and obtains the appearance status information data and electrical status information data of each target detection object in the target detection group through the collection and analysis of each status monitoring module until the preset test duration is reached; Specifically, the preset salt spray test parameters may include preset spray volume per unit time, preset spray pressure, preset spray frequency, preset temperature and humidity, preset rotation speed of the rotating unit, and preset test duration, etc. Through the above technical solution, this embodiment uses a rotating unit to automatically rotate the target detection object at its placement point. This allows the condition monitoring module to collect appearance information data from multiple angles of the target detection object, avoiding the omission of defects such as corrosion, discoloration, and blistering due to a single monitoring angle. Simultaneously, the multi-angle appearance information data provides richer information for image analysis algorithms, helping to more accurately identify and quantify appearance changes. For example, when calculating the corrosion area, images taken from different angles can complement each other, reducing errors caused by occlusion or viewing angle issues, thereby improving the accuracy of the condition deviation index calculation.

[0023] As one embodiment of the present invention, in step S20, the process of obtaining the appearance state information data of the target detection object corresponding to the i-th target detection object placement point of any target detection group is as follows: S201: When the rotating unit drives the target detection object to rotate for the nth revolution from the initial position, the appearance monitoring unit begins to collect image information data and three-dimensional information data of the target detection object; when the rotating unit drives the target detection object back to the initial position, the appearance monitoring unit stops collecting data. Specifically, n∈[1,2,3,……N]; the above acquisition method can acquire the comprehensive appearance information of the target detection object to the greatest extent; during the acquisition process, the image information data includes the detailed texture, color distribution and other features of the target detection object from various angles, while the three-dimensional information data accurately records the spatial structure information such as the surface undulations and contour shape; this provides a foundation for subsequent color anomaly level recognition and flatness anomaly level recognition of the target detection object, and through this acquisition method, detection errors caused by a single acquisition angle or incomplete acquisition can be avoided, effectively improving the accuracy and reliability of the detection results, and ensuring the most realistic and comprehensive understanding of the appearance condition of the target detection object; S202: Based on the image information data and three-dimensional information data of the target detection object during this process, construct a digital twin model of the target detection object rotating for the nth time; Specifically, constructing digital twin models based on image information data and 3D information data is an existing technology and will not be described in detail here; S203: Divide the surface of the digital twin model of the target object after rotating n times into several basic reference units, and identify the color anomaly level and flatness anomaly level of each basic reference unit through the identification unit; Specifically, the recognition unit is a trained convolutional neural network model, which is used to perform color recognition and flatness recognition based on each basic reference unit, and to obtain the color anomaly level and flatness anomaly level of each basic reference unit. It should be noted that the training process of the convolutional neural network model is existing technology and will not be described in detail here.

[0024] S204: Analyze the number of basic reference units for each color anomaly level and the number of basic reference units for each flatness anomaly level to obtain the appearance status information data of the target detection object; the appearance status information data includes the surface color anomaly index and the surface flatness anomaly index. Specifically, through Formula 1: ; Calculate the surface color anomaly index B of the digital twin model of the target object at the i-th target detection point after rotating n times. in and surface smoothness anomaly index P in ; Where k is the number of color anomaly levels; γ k Q is the weighting coefficient for the k-th color anomaly level; ink The number of basic reference units for the k-th color anomaly level in the digital twin model of the target detection object corresponding to the i-th target detection object placement point after rotating n times; d is the number of flatness anomaly levels; γ d Q is the weighting coefficient for the d-th level of flatness anomaly; X is the total number of basic reference units; Q ind The number of basic reference units for the d-th level of flatness anomaly in the digital twin model of the target detection object corresponding to the i-th target detection object placement point after rotating n times; It should be noted that the weighting coefficient γ for the k-th color anomaly level k The higher the color anomaly level (i.e., the more severe the color anomaly), the larger the corresponding weighting coefficient; the specific values ​​are set based on empirical fitting, which is existing technology and will not be detailed here. Through the above technical solution, this embodiment first uses a rotating unit to drive the target object to rotate and collect omnidirectional images and 3D information of the target object, constructing a digital twin model. Then, it divides the target object into basic reference units and uses a convolutional neural network model to identify the color and flatness anomaly levels. Finally, it analyzes the number of basic reference units for each color anomaly level and the number of basic reference units for each flatness anomaly level to obtain appearance status information data. The appearance status information data can accurately reflect the comprehensive degree of surface color anomaly and the comprehensive degree of flatness anomaly of the target object. This solution can effectively avoid detection errors caused by a single or incomplete acquisition angle, comprehensively and realistically reflect the appearance condition of the target object, provide a reliable basis for accurately assessing its appearance quality, and significantly improve the accuracy and reliability of the detection results.

[0025] As one embodiment of the present invention, in step S20, the process of obtaining the electrical status information data of the target detection object corresponding to the i-th target detection object placement point of any target detection group is as follows: S210: After the rotating unit drives the target object to stop rotating each time, the electrical monitoring unit collects the inductance value and insulation resistance value of the target object. S220: Based on the inductance and insulation resistance values ​​of the target object, the electrical anomaly index of the target object is obtained; Specifically, through Formula 2: ; Calculate the electrical anomaly index G of the target object after it has rotated n revolutions at the i-th target object placement point. in ; Among them, T ing The inductance value collected after the target object corresponding to the i-th target detection point rotates for the nth time; T g0 The preset inductance value; T inz The insulation resistance value collected after the target object corresponding to the i-th target detection point rotates for the nth time; T z0 σ1 is the preset insulation resistance value; σ2 is the inductance weighting coefficient; C1 is the preset inductance constant; C2 is the preset insulation resistance constant. Among them, the inductance weighting coefficient σ1 and the insulation resistance weighting coefficient σ2 are preset values, and σ2 > 1.5σ1. The specific values ​​of the inductance weighting coefficient σ1 and the insulation resistance weighting coefficient σ2 are set according to empirical fitting, which is existing technology and will not be described in detail here.

[0026] The inductance preset constant C1 and the insulation resistance preset constant C2 are preset values, set based on empirical fitting, which is existing technology and will not be described in detail here.

[0027] Through the above technical solution, this embodiment can intuitively reflect the degree of electrical abnormality of the target detection object during the rotation process by using the electrical abnormality index of the target detection object corresponding to the i-th target detection object placement point; if the electrical abnormality index continues to increase, it indicates that the electrical performance of the target detection object is gradually decreasing.

[0028] As one embodiment of the present invention, the process for determining the salt spray test quality rating of this batch of inductor products is as follows: S100: Analyze the surface color anomaly index, surface flatness anomaly index, and electrical anomaly index of each target detection object in each target detection group to obtain the state deviation index of each target detection object in each target detection group; Specifically, through Formula 3: ; Calculate the state deviation index W of the target object corresponding to the placement point of the i-th target object in the m-th target detection group. mi ; Where f(X) is the judgment function, f(X) = X when X > 0; f(X) = 0 when X ≤ 0; M is the number of target detection groups, m ∈ M; B min B represents the surface color anomaly index of the target object corresponding to the placement point of the i-th target object in the m-th target detection group; in0P is the preset surface color anomaly index of the target object corresponding to the placement point of the i-th target object; min P represents the surface smoothness anomaly index of the target object corresponding to the placement point of the i-th target object in the m-th target detection group; in0 G is the preset surface flatness anomaly index of the target object corresponding to the placement point of the i-th target object; min G represents the electrical anomaly index of the target object corresponding to the placement point of the i-th target object in the m-th target detection group; in0 α1 is the preset electrical anomaly index of the target detection object corresponding to the i-th target detection object placement point; α2 is the first weighting coefficient; α3 is the third weighting coefficient; Z1 is the first preset constant; Z2 is the second preset constant; Z3 is the third preset constant; It should be noted that the first weighting coefficient α1, the second weighting coefficient α2, the third weighting coefficient α3, the first preset constant Z1, the second preset constant Z2, and the third preset constant Z3 are preset values, set based on empirical fitting, and are existing technologies, which will not be described in detail here; It should be noted that the preset surface color anomaly index B of the target detection object corresponding to the i-th target detection object placement point is... in0 Surface smoothness anomaly index P in0 and preset electrical anomaly index G in0 This is a preset value, and the process of obtaining this preset value is as follows: S1001: By using a sufficient number of inductor products that meet the qualification standards as reference test objects; dividing the reference test objects into several reference test groups; the number of reference test objects in the reference test groups is the same as the number of placement points for the target test object; S1002: Place the control test object in any control test group on the target test object placement point, and conduct a salt spray test on the control test object according to the preset salt spray test parameters; and obtain the surface color abnormality index, surface flatness abnormality index and preset electrical abnormality index of each control test object in the control test group after the nth rotation through the data collected and analyzed by each state monitoring module. S1003: Analyze the surface color anomaly index, surface flatness anomaly index, and preset electrical anomaly index of the control test object corresponding to the i-th target test object placement point in each control test group after the n-th rotation, and obtain the preset surface color anomaly index B of the i-th target test object placement point. in0 Surface smoothness anomaly index P in0 and preset electrical anomaly index G in0 ; Specifically, the average of the surface color anomaly index, surface smoothness anomaly index, and preset electrical anomaly index of the control object corresponding to the i-th target detection object placement point in each control test group during the n-th rotation can be used as the preset surface color anomaly index B of the i-th target detection object placement point. in0 Surface smoothness anomaly index P in0 and preset electrical anomaly index G in0 ; S200: Based on the analysis of the state deviation index of each target detection object in each target detection group, the state deviation level of each target detection object in each target detection group is obtained; Specifically, the process for determining the state deviation level of the target object corresponding to the placement point of the i-th target object in the m-th target detection group is as follows: The state deviation index W of the target detection object corresponding to the placement point of the i-th target detection object in the m-th target detection group. mi Compare with the first preset comparison value R1; When W mi When =1, the state deviation level of the target detection object corresponding to the placement point of the i-th target detection object in the m-th target detection group is no deviation. When 1 < W mi When R1 is less than or equal to 1, the state deviation level of the target object corresponding to the placement point of the i-th target object in the m-th target detection group is slight deviation. When R1 < W mi At that time, the state deviation level of the target detection object corresponding to the placement point of the i-th target detection object in the m-th target detection group is severe deviation; It should be noted that the first preset comparison value R1 is a preset value, set based on empirical fitting, and is existing technology, so it will not be described in detail here.

[0029] S300: Based on the analysis of the number of target detection objects in each state deviation level, determine the comprehensive quality anomaly index of all target detection objects; Specifically, through Formula 4: ; Calculate the overall quality anomaly index U for all target detection objects; Among them, Q b Q represents the number of target objects with a state deviation level of slight deviation. c H represents the number of target objects with a severe deviation level; H represents the total number of target objects; θ represents the number of target objects to be detected. b The preset ratio for slight deviations; θ c This is the preset ratio for severe deviations; μ b For slight bias, the weighting coefficient is μ.c This is the weighting coefficient for severe deviations; It should be noted that the preset ratio θ for slight deviations b Preset ratio θ for severe deviation c Slight deviation weighting coefficient μ b and severe deviation weighting coefficient μ c These are preset values, set based on empirical fitting, and are existing technologies, which will not be described in detail here.

[0030] S400: Determine the salt spray test quality rating of this batch of inductor products based on the comprehensive quality anomaly index of the target test object; Specifically, the process for determining the salt spray test quality rating of this batch of inductor products is as follows: The overall quality anomaly index U of all target detection objects is compared with the second preset comparison value R2; When U=1, the salt spray test quality rating of this batch of inductor products is excellent; When 1<U When R2 is ≤, the salt spray test quality rating of this batch of inductor products is qualified; When R2 < U, the salt spray test quality rating of this batch of inductor products is unqualified; It should be noted that the second preset comparison value R1 is a preset value, set based on empirical fitting, and is existing technology, so it will not be described in detail here.

[0031] Through the above technical solution, this embodiment introduces a state deviation index to achieve accurate comparative analysis between the target test object and the control test object. In salt spray testing scenarios, the layout of the test chamber is often difficult to achieve perfectly uniformity, which easily leads to uneven salt spraying, thus affecting the accuracy and reliability of the test results. The state deviation index quantifies the state difference between the target test object and the control test object at the same location under salt spray conditions. Through comparative analysis, it effectively eliminates interference factors caused by uneven salt spraying due to test chamber layout issues, enabling the test results to more realistically and accurately reflect the actual performance of the test object in the salt spray environment, providing a solid and reliable basis for the quality assessment and improvement of inductor products.

[0032] Please see Figure 2 As shown, a weathering resistance testing device for inductive products includes a salt spray test chamber, wherein the salt spray test chamber is further equipped with: Several rotating units are corresponding one-to-one with each target detection object placement point. Each rotating unit includes a rotating component and a fixing component. The fixing component is disposed on the rotating component and is used to fix the target detection object on the rotating component. The rotating component is rotatably disposed on each target detection object placement point and is used to drive the target detection object to rotate automatically on the target detection object placement point. Several status monitoring modules correspond one-to-one with each detection area unit, and are used to obtain status information data of the target detection object in the corresponding detection area unit; The analysis module is used to analyze the status information data of each target detection object in each target detection group to obtain the status deviation index of each target detection object in each target detection group; and by analyzing the status deviation index of each target detection object in each target detection group, the salt spray test quality rating of this batch of inductor products is obtained. Through the above technical solution, this embodiment uses a fixing component to fix the target detection object into a rotating component, which then drives the target detection object to rotate automatically at its placement point. This allows the condition monitoring module to collect appearance information data from multiple angles of the target detection object, avoiding the omission of defects such as corrosion, discoloration, and blistering due to a single monitoring angle. Simultaneously, the multi-angle appearance information data provides richer information for image analysis algorithms, helping to more accurately identify and quantify appearance changes. For example, when calculating the corrosion area, images taken from different angles can complement each other, reducing errors caused by occlusion or viewing angle issues, thereby improving the accuracy of the condition deviation index calculation. It should be noted that the mechanical structures of the rotating and stationary components are existing technologies and will not be described in detail here.

[0033] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A method for testing the weather resistance of inductive products, characterized in that, The detection method includes the following steps: S1: Divide the target area in the salt spray test chamber into several test area units; set the target test object placement point in each test area unit, and number each target test object placement point; S2: A rotation unit is set at each target detection object placement point; the rotation unit is used to drive the target detection object to rotate automatically at the target detection object placement point; S3: Several status monitoring modules are set in the salt spray test chamber; each status monitoring module corresponds one-to-one with a detection area unit; S4: Select several target test objects from the inductor products produced in this batch according to the preset screening rules; and divide the target test objects into several target test groups; S5: Conduct salt spray testing on each target detection group in sequence, and collect status information data of each target detection object in each target detection group through each status monitoring module during the testing process; S6: The state information data of each target detection object in each target detection group is analyzed by the analysis module to obtain the state deviation index of each target detection object in each target detection group; S7: By analyzing the state deviation index of each target detection object in each target detection group through the analysis module, the salt spray test quality rating of this batch of inductor products is obtained.

2. The weather resistance testing method for inductive products according to claim 1, characterized in that, The status monitoring module includes an appearance monitoring unit and an electrical monitoring unit; the status information data includes appearance status information data and electrical status information data.

3. The weather resistance testing method for inductive products according to claim 2, characterized in that, The detection process for any target detection group is as follows: S10: The target objects of this target detection group are fixed to each rotating unit; S20: The salt spray test chamber conducts a salt spray test on the target detection group according to the preset salt spray test parameters; and obtains the appearance status information data and electrical status information data of each target detection object in the target detection group through the collection and analysis of each status monitoring module until the preset test duration is reached.

4. The weather resistance testing method for inductive products according to claim 3, characterized in that, The appearance status information data includes the surface color anomaly index and the surface smoothness anomaly index.

5. The weather resistance testing method for inductive products according to claim 4, characterized in that, In step S20, the process of obtaining the appearance state information data of the target detection object corresponding to the i-th target detection object placement point in any target detection group is as follows: S201: When the rotating unit drives the target detection object to rotate from the initial position for the nth revolution, the appearance monitoring unit begins to collect image information data and three-dimensional information data of the target detection object; When the rotating unit returns the target object to its initial position, the appearance monitoring unit stops collecting data. S202: Based on the image information data and three-dimensional information data of the target detection object during this process, construct a digital twin model of the target detection object rotating for the nth time; S203: Divide the surface of the digital twin model of the target object after rotating n times into several basic reference units, and identify the color anomaly level and flatness anomaly level of each basic reference unit. S204: Based on the number of basic reference units for each color anomaly level and the number of basic reference units for each smoothness anomaly level, the surface color anomaly index and surface smoothness anomaly index of the target object are obtained.

6. The weather resistance testing method for inductive products according to claim 5, characterized in that, The recognition unit is a trained convolutional neural network model, used to perform color recognition and flatness recognition based on each basic reference unit, and to obtain the color anomaly level and flatness anomaly level of each basic reference unit.

7. The weather resistance testing method for inductive products according to claim 6, characterized in that, In step S20, the process of obtaining the electrical status information data of the target object corresponding to the i-th target object placement point of any target detection group is as follows; S210: After the rotating unit drives the target object to stop rotating each time, the electrical monitoring unit collects the inductance value and insulation resistance value of the target object. S220: Based on the inductance and insulation resistance values ​​of the target object, the electrical anomaly index of the target object is obtained.

8. The weather resistance testing method for inductive products according to claim 7, characterized in that, The process for determining the salt spray test quality rating of this batch of inductor products is as follows: S100: Analyze the surface color anomaly index, surface flatness anomaly index, and electrical anomaly index of each target detection object in each target detection group to obtain the state deviation index of each target detection object in each target detection group; S200: Based on the analysis of the state deviation index of each target detection object in each target detection group, the state deviation level of each target detection object in each target detection group is obtained; S300: Based on the analysis of the number of target detection objects in each state deviation level, determine the comprehensive quality anomaly index of all target detection objects; S400: Determine the salt spray test quality rating of this batch of inductor products based on the comprehensive quality anomaly index of the target test object.

9. The weather resistance testing method for inductive products according to claim 8, characterized in that, The preset surface color anomaly index B of the target detection object corresponding to the i-th target detection object placement point. in0 Surface smoothness anomaly index P in0 and preset electrical anomaly index G in0 The acquisition process is as follows: S1001: Several inductor products that meet the qualification standards are used as reference test objects; the reference test objects are divided into several reference test groups; the number of reference test objects in the reference test groups is the same as the number of placement points of the target test object; S1002: Place the control test object in any control test group on the target test object placement point, and conduct a salt spray test on the control test object according to the preset salt spray test parameters; and obtain the surface color abnormality index, surface flatness abnormality index and preset electrical abnormality index of each control test object in the control test group after the nth rotation through the data collected and analyzed by each state monitoring module. S1003: Analyze the surface color anomaly index, surface flatness anomaly index, and preset electrical anomaly index of the control test object corresponding to the i-th target test object placement point in each control test group after the n-th rotation, and obtain the preset surface color anomaly index B of the i-th target test object placement point. in0 Surface smoothness anomaly index P in0 and preset electrical anomaly index G in0 .

10. A weathering resistance testing device for inductive products, comprising a salt spray test chamber, applicable to the weathering resistance testing method for inductive products as described in any one of claims 1-9, characterized in that, The salt spray test chamber is also equipped with: Several rotating units are corresponding one-to-one with each target detection object placement point. Each rotating unit includes a rotating component and a fixing component. The fixing component is disposed on the rotating component and is used to fix the target detection object on the rotating component. The rotating component is rotatably disposed on each target detection object placement point and is used to drive the target detection object to rotate automatically on the target detection object placement point. Several status monitoring modules correspond one-to-one with each detection area unit, and are used to obtain status information data of the target detection object in the corresponding detection area unit; The analysis module is used to analyze the status information data of each target detection object in each target detection group to obtain the status deviation index of each target detection object in each target detection group; and by analyzing the status deviation index of each target detection object in each target detection group, the salt spray test quality rating of this batch of inductor products is obtained.

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