Method and apparatus for salt spray testing of a fast heat dissipation oriented router housing
Patent Information
- Application Number
- CN202610976630.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-07-02
- Publication Date
- 2026-08-18
AI Technical Summary
然而，现有技术并未充分考虑到盐雾喷嘴可能会因为盐分沉积而产生局部堵塞，从而导致喷雾流量不稳定，进而使得盐雾蒸发吸热程度不一致，引发箱内温度波动的问题
本申请针对现有技术未充分考虑到喷嘴局部堵塞所引起的流量变化对于箱内温度的影响，进而导致温度控制效果不好的问题，通过分析空气压力数据和液位下降速率的波动特征，构建盐雾注入紊乱度，能够反映喷嘴堵塞所导致的盐雾注入流量的波动程度；通过分析温度响应特征和单位液位下降速率下的温度变化情况，构建盐雾无关指数，能够反映盐雾蒸发吸热现象对于箱内温度的扰动强度；进而结合温度数据的离散程度，构建参数增幅指数，能够反映PID控制算法中的比例系数需要调节的幅度大小，从而能够对比例系数进行自适应的调节，进而提高了盐雾箱内的温度控制稳定性，提升了路由器外壳的盐雾测试效果。
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Figure CN122591529A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of salt spray testing technology, specifically to salt spray testing methods and equipment for the casing of fast heat dissipation routers. Background Technology
[0002] As a widely used network device, the corrosion resistance of the router's casing material directly affects its lifespan. Salt spray testing is an accelerated corrosion test method that simulates marine or industrial salt spray environments. The router casing is placed in a salt spray testing machine, where a specific concentration of sodium chloride solution is sprayed onto it. The quality of the router casing after the corrosion test is then assessed, allowing for the evaluation of its corrosion resistance. Therefore, salt spray testing of router casings is of great significance for evaluating the reliability of router heat dissipation casings in outdoor and coastal environments.
[0003] Current technology for salt spray testing router casings typically involves setting the temperatures of the salt spray test chamber and saturation tank to fixed values, and then using a PID control algorithm with fixed control parameters for constant temperature control to achieve salt spray corrosion testing of the router casing. However, this technology does not adequately consider the possibility of localized blockage of the salt spray nozzles due to salt deposition, leading to unstable spray flow and inconsistent salt spray evaporation heat absorption, causing temperature fluctuations within the chamber. Because the PID control parameters are fixed, the control algorithm struggles to dynamically respond to temperature disturbances caused by changes in heat absorption, resulting in over-adjustment or under-compensation of temperature, thus affecting the salt spray test results for the router casing. Summary of the Invention
[0004] To address the aforementioned technical problems, the purpose of this application is to provide a salt spray testing method and equipment for the casing of fast heat dissipation routers. The specific technical solution adopted is as follows: In a first aspect, embodiments of this application provide a salt spray testing method for the casing of a fast-heat dissipation router, the method comprising the following steps: Obtain the initial weight of the router casing and place it inside the salt spray chamber; during the salt spray test, collect real-time data on air pressure, liquid level drop rate, and temperature inside the salt spray test chamber. By analyzing the dispersion of air pressure data and liquid level drop rate data, as well as the similarity between the positions of abrupt change points in air pressure data and liquid level drop rate data, the salt spray injection disorder of each acquisition cycle is obtained. Combined with the position of the first abrupt change point of temperature data in each acquisition cycle, and the temperature change when the liquid level drops steadily, the salt spray irrelevance index of each acquisition cycle is constructed. By utilizing the dispersion of temperature data within each acquisition cycle and the salt spray indifference index, the parameter increase index for each acquisition cycle is obtained. This index is then used to adjust the proportional coefficient of the PID control algorithm in the next acquisition cycle, thereby completing the entire salt spray test. The weight of the router casing is then obtained, and based on the weight difference of the router casing before and after the salt spray test, the salt spray test results for the router casing are obtained.
[0005] As a preferred embodiment, the method for obtaining the salt spray injection disorder degree in each collection cycle is as follows: Calculate the mean between the variance of the pressure sequence and the variance of the dissolution sequence for each acquisition period; Based on the difference in the sequence of abrupt change points in the air pressure data and liquid level drop rate data, the first distance of each acquisition cycle is obtained; The salt spray injection disorder in each collection cycle is positively correlated with the mean and negatively correlated with the first distance. Among them, the air pressure sequence and dissolution loss sequence of each collection period refer to the sequences composed of air pressure data and liquid level drop rate data of each collection period arranged in chronological order.
[0006] In a preferred embodiment, the first distance of each acquisition cycle refers to the DTW distance between the pressure mutation sequence and the dissipation mutation sequence of each acquisition cycle. The pressure mutation sequence and the dissipation mutation sequence of each acquisition cycle refer to the sequence formed by arranging all mutation points in the pressure sequence and the dissipation sequence of each acquisition cycle in ascending order.
[0007] As a preferred embodiment, the formula for calculating the salt spray indifference index for each collection cycle is: In the formula, Let be the salt spray indifference index for the i-th collection cycle. The position of the first abrupt change point in the temperature sequence of the i-th acquisition cycle; Inject disorder into the salt spray during the i-th collection cycle; This is the first ratio in the i-th acquisition cycle; is a preset constant; where the temperature sequence of each acquisition cycle refers to the sequence composed of temperature data from each acquisition cycle arranged in chronological order.
[0008] As a preferred implementation method, the first ratio of each acquisition cycle is obtained as follows: The last n elements in the dissolution sequence and the first n elements in the temperature sequence of each acquisition period are removed respectively. The two sequences after removing the data are denoted as the dissolution processing sequence and the temperature processing sequence of each acquisition period, respectively, where n is the position of the first mutation point in the temperature sequence of each acquisition period. The desorption processing sequence of each acquisition cycle is divided into multiple subsequences, and the subsequence with the smallest variance is recorded as the deceleration stabilization subsequence of each acquisition cycle. Based on the position range of the rate-degrading stable subsequence in the solubility processing sequence, the data with the same position are extracted from the temperature processing sequence of each acquisition cycle and recorded as the temperature stable subsequence of each acquisition cycle. The ratio of the range of the temperature-stable subsequence to the mean of the deceleration-stable subsequence in each acquisition period is recorded as the first ratio for each acquisition period.
[0009] In a preferred embodiment, the parameter amplification index for each acquisition cycle refers to the ratio of the variance of the temperature data for each acquisition cycle to the salt spray indifference index for the corresponding acquisition cycle.
[0010] As a preferred embodiment, the formula for calculating the proportional coefficient of the PID control algorithm in the next acquisition cycle is: In the formula, This is the proportional coefficient of the PID control algorithm in the (i+1)th acquisition cycle; This is the preset initial scaling factor in the (i+1)th acquisition cycle; Let be the parameter increase index for the i-th acquisition cycle; It is the hyperbolic tangent function.
[0011] In one preferred embodiment, during the entire salt spray test, the temperature is controlled by a preset initial proportional coefficient in the first collection cycle; the proportional coefficient for the second collection cycle is calculated based on the parameter increase index of the first collection cycle, and the temperature is controlled for the second collection cycle; and so on, the proportional coefficient for each subsequent collection cycle is calculated, and the temperature is controlled for each collection cycle.
[0012] In a preferred embodiment, the salt spray test results of the router casing are obtained by the mass loss method.
[0013] Secondly, embodiments of this application also provide a salt spray testing device for a fast-heat dissipation router casing, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to implement the steps of any of the methods described above.
[0014] This application has at least the following beneficial effects: This application addresses the problem that existing technologies do not adequately consider the impact of flow rate changes caused by partial nozzle blockage on the chamber temperature, leading to poor temperature control. By analyzing the fluctuation characteristics of air pressure data and liquid level drop rate, a salt spray injection turbulence degree is constructed, reflecting the degree of fluctuation in salt spray injection flow rate caused by nozzle blockage. By analyzing temperature response characteristics and temperature changes per unit liquid level drop rate, a salt spray indifference index is constructed, reflecting the intensity of the disturbance to the chamber temperature caused by salt spray evaporation and heat absorption. Furthermore, combining the dispersion of temperature data, a parameter amplification index is constructed, reflecting the magnitude of adjustment required for the proportional coefficient in the PID control algorithm. This allows for adaptive adjustment of the proportional coefficient, thereby improving the temperature control stability within the salt spray chamber and enhancing the salt spray testing performance of router casings. Attached Figure Description
[0015] Figure 1 A flowchart illustrating the steps of a salt spray testing method for a fast-heat-dissipating router casing according to an embodiment of this application; Figure 2 This is a flowchart illustrating the acquisition of the proportional coefficient of the PID control algorithm in the next acquisition cycle of each acquisition cycle, as provided in one embodiment of this application. Detailed Implementation
[0016] Please see Figure 1 The diagram illustrates a flowchart of a salt spray testing method for a fast-heat dissipation router housing according to an embodiment of this application. The method includes the following steps: Step 1: Obtain the initial weight of the router casing and place it inside the salt spray chamber; during the salt spray test, collect real-time data on air pressure, liquid level drop rate, and temperature inside the salt spray test chamber.
[0017] A salt spray test chamber, used for salt spray testing of router heat dissipation casings, mainly consists of a salt spray chamber, a spray module, and a drying module. The salt spray chamber provides the necessary environment for the salt spray test; the spray module atomizes the solution and sprays it into the salt spray chamber; and the drying module removes moisture during the cyclic testing phase, achieving alternating wet and dry conditions to accelerate corrosion.
[0018] This application first collects the weight data of the router casing before testing using a high-precision electronic balance. Then, the router's heat dissipation casing is placed horizontally in a salt spray chamber, and the temperatures of the salt spray chamber and the saturation tank are set to a constant 35 degrees Celsius and 45 degrees Celsius, respectively. The compressed air is heated by moisture, the spraying method is periodic spraying, and water is automatically added during the intervals of the spraying cycle; the overall salt spray test duration in this embodiment is 48 hours.
[0019] Once both the salt spray chamber and the saturation tank reach the set temperature, salt spray is injected into the salt spray chamber through nozzles, and data is collected simultaneously, as detailed below: This application uses a pressure sensor installed on the compressed air pipeline to collect real-time air pressure data driving the spray; uses a liquid level sensor to collect the liquid level data of sodium chloride solution in the brine storage tank, and records the absolute difference between the liquid level data at the previous moment and the current moment as the liquid level drop rate at the current moment; and uses a temperature sensor to collect temperature data in the salt spray chamber.
[0020] All data is collected synchronously and in real time, with a collection interval of 1 second. Since the spraying is periodic, the data collection period is kept consistent with the spraying period, and the data collected in each collection period constitutes the data for one spraying process.
[0021] Taking the i-th acquisition cycle as an example, by collecting air pressure data, liquid level drop rate data, and temperature data, the air pressure sequence, dissolution loss sequence, and temperature sequence for the i-th acquisition cycle are constructed according to the time sequence of data acquisition.
[0022] To eliminate the influence of different dimensions among the data, all data are normalized. The normalization method is not limited to Z-score, maximum value normalization, or maximum and minimum value normalization.
[0023] Step 2: By analyzing the dispersion of air pressure data and liquid level drop rate data, as well as the similarity between the positions of abrupt change points in the air pressure data and liquid level drop rate data, the salt spray injection disorder of each acquisition cycle is obtained. Combined with the position of the first abrupt change point of temperature data in each acquisition cycle, and the temperature change when the liquid level drops steadily, the salt spray irrelevance index of each acquisition cycle is constructed.
[0024] During the salt spray test of the router's heat dissipation casing, although the salt spray will affect the temperature due to heat absorption during evaporation, the flow rate of salt spray injected into the salt spray chamber is stable at all times when the salt spray tester is operating normally and the nozzles are not clogged. Consequently, the degree of heat absorption is also stable. At this time, temperature stability can be maintained by using fixed control parameters.
[0025] However, if the nozzle becomes partially clogged due to factors such as salt crystallization or impurity deposition, the flow rate of the salt spray into the salt spray chamber will fluctuate. The greater the fluctuation, the greater the impact on the temperature inside the salt spray chamber. Therefore, in this case, it is necessary to adjust the proportional coefficient of the PID control algorithm to a greater extent to improve the PID control algorithm's response capability and thus regulate the temperature in a timely manner. Therefore, the stability of the salt spray flow rate into the salt spray chamber can be analyzed first to determine whether adjustment of the control parameters is necessary.
[0026] The spray flow rate of the nozzle is strongly correlated with the driving air pressure and the liquid level changes of the sodium chloride solution. When the nozzle is unobstructed, the spray flow rate is stable, resulting in smaller fluctuations in the driving air pressure and a more uniform drop in the brine storage tank level. However, if the nozzle becomes partially blocked, it will not only cause abnormal fluctuations in air pressure but also fluctuations in the rate of liquid level descent.
[0027] Taking the i-th acquisition cycle as an example for analysis, the dispersion of the pressure sequence and the dispersion of the solution consumption sequence in the i-th acquisition cycle are obtained respectively, and the mean between the two dispersions is calculated. The obtained mean reflects the degree of fluctuation of the driving pressure and the solution descent rate in the i-th acquisition cycle. The larger the value, the greater the fluctuation of the driving pressure and the solution descent rate, and thus the greater the possibility of nozzle blockage and unstable spray flow. The calculation of dispersion is not limited to variance, standard deviation, and coefficient of variation; in this embodiment, variance is used for calculation.
[0028] Furthermore, if the nozzle becomes partially blocked, causing a decrease in the amount of brine sprayed per unit time, this will simultaneously lead to fluctuations in both the air pressure and the rate of liquid level descent. Therefore, it is possible to further analyze whether there is an unstable injection flow rate by analyzing whether the timing of sudden changes in air pressure and liquid level is relatively synchronized.
[0029] The mutation point detection algorithm is used to obtain all mutation points in the pressure sequence and dissolution sequence of the i-th acquisition period. The positions of all mutation points in the pressure sequence and dissolution sequence are arranged in ascending order to obtain the pressure mutation position sequence and dissolution mutation position sequence of the i-th acquisition period.
[0030] Since the number of data points in the two mutation sequence sequences may not be equal, the DTW distance between the gas pressure mutation sequence and the dissolution mutation sequence in the i-th acquisition period is calculated using the DTW distance algorithm, and denoted as the first distance in the i-th acquisition period. The first distance reflects whether the abnormal fluctuations in gas pressure and liquid level drop rates occurred synchronously; the smaller the value, the more consistent the timing of the mutation points, and thus the more likely they occurred simultaneously, indicating a higher probability of localized nozzle blockage. Conversely, the larger the value, the more likely the abnormal fluctuations in the gas pressure sequence are caused by system disturbances such as air compressor start-up / shutdown or liquid supply pump pulsation. In this case, no adjustment of control parameters is necessary to avoid additional errors.
[0031] It should be noted that if there are no abrupt changes in the pressure or dissolution sequence of the i-th acquisition period, the first distance of the i-th acquisition period is set to 1, indicating that the analysis will not consider abrupt changes to avoid errors. The abrupt change detection algorithm is not limited to the PELT algorithm, Pettitt algorithm, or MK algorithm.
[0032] As a preferred embodiment, the salt spray injection disorder degree for each acquisition cycle is obtained based on the dispersion of air pressure data and liquid level drop rate data within each acquisition cycle, as well as the similarity between the order of abrupt change points in the air pressure data and liquid level drop rate data. This disorder degree is used to characterize the instability of the salt spray flow rate in the salt spray chamber within each acquisition cycle. The method for obtaining the salt spray injection disorder degree for each acquisition cycle is as follows: calculate the mean between the variance of the air pressure sequence and the variance of the dissolution sequence for each acquisition cycle; obtain the first distance for each acquisition cycle; the salt spray injection disorder degree for each acquisition cycle is positively correlated with the mean and negatively correlated with the first distance. It should be noted that the positive correlation means that the dependent variable increases as the independent variable increases, or decreases as the independent variable decreases; the negative correlation means that the dependent variable decreases as the independent variable increases, or increases as the independent variable decreases. This is determined by the actual application, and this application does not impose any special limitations.
[0033] Preferably, in this embodiment, the salt spray injection disorder degree in the i-th collection cycle is denoted as . Its specific expression is: In the formula, Inject disorder into the salt spray during the i-th collection cycle. Let be the mean between the variance of the pressure sequence and the variance of the dissolution sequence in the i-th acquisition period; The first distance in the i-th acquisition cycle; This is a preset constant. To avoid the denominator being 0, its value range is (0.005, 0.01). The value has little impact on the calculation and can be ignored. In this embodiment, it is taken as 0.008.
[0034] The salt spray injection turbulence reflects the stability of the salt spray flow rate injected into the salt spray chamber through the nozzle. The larger the value, the greater the fluctuation in the salt spray injection flow rate, and the greater the heat absorption fluctuation caused by the fluctuation in salt spray flow rate. In this case, a larger adjustment of the proportional coefficient is required so that the PID control algorithm can respond to temperature changes in a timely manner and maintain temperature stability.
[0035] Furthermore, while the salt spray injection turbulence can be used to analyze whether the salt spray flow rate injected into the salt spray chamber is stable, it cannot reflect the impact of salt spray evaporation and heat absorption on the temperature of the salt spray chamber. Therefore, it is necessary to further quantify the degree of heat absorption of the salt spray to further assess whether temperature regulation and control are required when the salt spray flow rate injected into the salt spray chamber fluctuates.
[0036] Let's take the i-th acquisition cycle as an example.
[0037] Since there is a time delay between the salt spray being injected into the chamber and the salt spray evaporating and causing the temperature to drop, the lag in the heat absorption of evaporation needs to be taken into account to avoid errors.
[0038] Since the temperature inside the salt spray chamber is controlled at a constant temperature, the temperature inside the salt spray chamber is stable before the salt spray undergoes evaporation and heat absorption. However, after evaporation and heat absorption occur, the temperature inside the chamber will drop and then fluctuate. Therefore, this characteristic can be used to determine the time delay between the salt spray entering the chamber and the evaporation and heat absorption.
[0039] The mutation point detection algorithm is used to obtain all mutation points in the temperature sequence of the i-th acquisition period. The position value of the first mutation point in the temperature sequence can reflect the time required for the salt spray to enter the chamber and affect the temperature inside the chamber within that acquisition period. The smaller the value, the smaller the atomized particle size of the salt spray, the faster the evaporation rate, and the more rapid the heat exchange. At this time, the change in spray flow rate may have a greater impact on the temperature inside the chamber.
[0040] Remove the last part of the solubility sequence in the i-th acquisition cycle respectively The first element and temperature sequence The system uses 10 elements and records the two sequences after removing the data as the solvent consumption processing sequence and temperature processing sequence for the i-th acquisition cycle, respectively, thereby aligning the liquid level change with the temperature change in the tank in time.
[0041] The solubility processing sequence of the i-th acquisition cycle is divided into multiple subsequences using a sequence segmentation algorithm. The dispersion of each subsequence is then calculated, and the subsequence with the smallest dispersion is designated as the rate-deceleration stable subsequence of the i-th acquisition cycle. Based on the positional range of the rate-deceleration stable subsequence within the solubility processing sequence, data with the same positional sequence are extracted from the temperature processing sequence of the i-th acquisition cycle and designated as the temperature stable subsequence of the i-th acquisition cycle. Thus, it is possible to obtain the temperature data of the salt spray chamber caused by salt spray evaporation under the condition of a stable decrease in liquid level (i.e., stable salt spray flow rate).
[0042] The ratio of the range of the temperature-stable subsequence to the mean of the rate-deceleration-stable subsequence in the i-th acquisition period is denoted as the first ratio in the i-th acquisition period. The first ratio quantifies the sensitivity of the chamber temperature to changes in the unit solution level; the smaller the value, the smaller the temperature change in the chamber caused by the unit solution consumption, and the larger the spray flow rate is required to make a slight temperature change.
[0043] As a preferred implementation, the salt spray indifference index for each collection cycle is obtained based on the salt spray injection disorder of each collection cycle, combined with the location of the first abrupt change point of the temperature data in each collection cycle, and the temperature change at a unit liquid level drop rate when the liquid level is steadily decreasing. This index is used to characterize the immunity of the temperature inside the salt spray chamber to changes in salt spray flow rate in each collection cycle.
[0044] In this embodiment, the salt spray indifference index of the i-th collection cycle is denoted as . Its specific expression is: In the formula, Let be the salt spray indifference index for the i-th collection cycle. The position of the first abrupt change point in the temperature sequence of the i-th acquisition cycle; Inject disorder into the salt spray during the i-th collection cycle; This is the first ratio in the i-th acquisition cycle; This is a preset constant. , and The sum of values is to avoid or When the value is 0, it leads to the problem that another parameter becomes meaningless.
[0045] The salt spray indifference index reflects the immunity of the temperature inside the salt spray chamber to changes in salt spray flow rate during the i-th acquisition cycle. The smaller the value, the greater the fluctuation of the salt spray flow rate inside the chamber and the more severe the effect of salt spray heat absorption on the temperature inside the chamber. In this case, it is more necessary to increase the proportional coefficient in the PID algorithm to a greater extent to enhance the PID control algorithm's resistance to thermal disturbances.
[0046] Step 3: Utilize the dispersion of temperature data within each acquisition cycle and the salt spray indifference index to obtain the parameter increase index for each acquisition cycle. Adjust the proportional coefficient of the PID control algorithm in the next acquisition cycle to complete the entire salt spray test. Then, obtain the weight of the router casing again. Based on the weight difference of the router casing before and after the salt spray test, obtain the salt spray test results of the router casing.
[0047] Furthermore, although the salt spray indifference index can reflect the disturbance effect of external factors on the temperature inside the chamber, the control capability of the PID control algorithm varies under different control parameters. Therefore, it is necessary to analyze the temperature control effect under the current control parameters in order to further evaluate the extent to which the control parameters need to be adjusted.
[0048] Calculate the dispersion of the temperature sequence in the i-th acquisition cycle. The obtained dispersion can reflect the control effect of the PID control algorithm on the temperature in the i-th acquisition cycle under the influence of salt spray evaporation heat absorption. The larger the value, the worse the control effect achieved by the existing control parameters, and the more necessary it is to adjust the control parameters in the PID control algorithm.
[0049] As a preferred implementation, the parameter increase index for each acquisition cycle is obtained based on the dispersion of temperature data within each acquisition cycle and the salt spray indifference index. This index is used to characterize the magnitude by which the proportional coefficient of the PID control algorithm needs to be adjusted upward in each acquisition cycle.
[0050] In this embodiment, the parameter increase index of the i-th acquisition cycle is denoted as... Its specific expression is: In the formula, Let be the parameter increase exponent for the i-th acquisition cycle. Let V be the variance of the temperature data in the i-th acquisition cycle; Let be the salt spray indifference index for the i-th collection cycle.
[0051] The parameter increase index reflects the magnitude by which the proportional parameter in the PID control algorithm needs to be adjusted during the i-th acquisition cycle. The larger the value, the less capable the existing PID control algorithm is of suppressing disturbances, and the more the proportional coefficient needs to be increased to improve the response strength, thereby ensuring the stability of the temperature inside the chamber and providing a stable test environment for the salt spray test of the router casing.
[0052] Furthermore, based on the parameter increase index of each acquisition cycle, the proportional coefficient of the PID control algorithm in the next acquisition cycle is adjusted. The process for obtaining the proportional coefficient of the PID control algorithm in the next acquisition cycle is as follows: Figure 2 As shown.
[0053] In this embodiment, the formula for calculating the proportional coefficient of the PID control algorithm in the next acquisition cycle of each acquisition cycle is as follows: In the formula, This is the proportional coefficient of the PID control algorithm in the (i+1)th acquisition cycle; This is the preset initial scaling factor in the (i+1)th acquisition cycle, which is set to 1 in this embodiment; Let be the parameter increase index for the i-th acquisition cycle; This is the hyperbolic tangent function, used to normalize input data.
[0054] During the temperature control process of the salt spray chamber, the temperature is controlled using a preset initial proportional coefficient in the first acquisition cycle. Then, the proportional coefficient of the second acquisition cycle is optimized and adjusted according to the parameter increase index of the first acquisition cycle. In the second acquisition cycle, the PID control algorithm dynamically adjusts the output power of the heating tube based on the optimized proportional coefficient, thereby quickly compensating for the heat absorption temperature drop caused by salt spray evaporation and ensuring that the temperature inside the salt spray chamber remains stable.
[0055] By doing so, the scaling factor for each subsequent acquisition cycle is adjusted to create a more standardized salt spray testing environment for the router casing.
[0056] After the router's heat dissipation casing completes the salt spray test in the salt spray chamber, the casing is weighed again using an electronic balance, and the salt spray test result is obtained using the mass loss method. The mass loss method is a well-known algorithm, and its specific process will not be elaborated further.
[0057] Based on the same inventive concept as the above methods, this application also provides a salt spray testing device for a fast-heat-dissipating router casing, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of any one of the above-described salt spray testing methods for fast-heat-dissipating router casings.
Claims
1. A salt spray test method for the casing of a fast-heat dissipation router, characterized in that, The method includes the following steps: Obtain the initial weight of the router casing and place it inside the salt spray chamber; during the salt spray test, collect real-time data on air pressure, liquid level drop rate, and temperature inside the salt spray test chamber. By analyzing the dispersion of air pressure data and liquid level drop rate data, as well as the similarity between the positions of abrupt change points in air pressure data and liquid level drop rate data, the salt spray injection disorder of each acquisition cycle is obtained. Combined with the position of the first abrupt change point of temperature data in each acquisition cycle, and the temperature change when the liquid level drops steadily, the salt spray irrelevance index of each acquisition cycle is constructed. By utilizing the dispersion of temperature data within each acquisition cycle and the salt spray indifference index, the parameter increase index for each acquisition cycle is obtained. This index is then used to adjust the proportional coefficient of the PID control algorithm in the next acquisition cycle, thereby completing the entire salt spray test. The weight of the router casing is then obtained, and based on the weight difference of the router casing before and after the salt spray test, the salt spray test results for the router casing are obtained.
2. The salt spray test method for a fast-heat dissipation router casing as described in claim 1, characterized in that, The method for obtaining the salt spray injection disorder in each collection cycle is as follows: Calculate the mean between the variance of the pressure sequence and the variance of the dissolution sequence for each acquisition period; Based on the difference in the sequence of abrupt change points in the air pressure data and liquid level drop rate data, the first distance of each acquisition cycle is obtained; The salt spray injection disorder in each collection cycle is positively correlated with the mean and negatively correlated with the first distance. Among them, the air pressure sequence and dissolution loss sequence of each collection period refer to the sequences composed of air pressure data and liquid level drop rate data of each collection period arranged in chronological order.
3. The salt spray test method for a fast-heat dissipation router casing as described in claim 2, characterized in that, The first distance of each acquisition cycle refers to the DTW distance between the pressure mutation sequence and the dissipation mutation sequence of each acquisition cycle. The pressure mutation sequence and the dissipation mutation sequence of each acquisition cycle are sequences composed of all mutation points in the pressure sequence and the dissipation sequence of each acquisition cycle arranged in ascending order.
4. The salt spray test method for a fast-heat dissipation router casing as described in claim 2, characterized in that, The formula for calculating the salt spray indifference index for each collection cycle is as follows: In the formula, Let be the salt spray indifference index for the i-th collection cycle. The position of the first abrupt change point in the temperature sequence of the i-th acquisition cycle; Inject disorder into the salt spray during the i-th collection cycle; This is the first ratio in the i-th acquisition cycle; is a preset constant; where the temperature sequence of each acquisition cycle refers to the sequence composed of temperature data from each acquisition cycle arranged in chronological order.
5. The salt spray test method for a fast-heat dissipation router casing as described in claim 4, characterized in that, The method for obtaining the first ratio of each acquisition cycle is as follows: The last n elements in the dissolution sequence and the first n elements in the temperature sequence of each acquisition period are removed respectively. The two sequences after removing the data are denoted as the dissolution processing sequence and the temperature processing sequence of each acquisition period, respectively, where n is the position of the first mutation point in the temperature sequence of each acquisition period. The desorption processing sequence of each acquisition cycle is divided into multiple subsequences, and the subsequence with the smallest variance is recorded as the deceleration stabilization subsequence of each acquisition cycle. Based on the position range of the rate-degrading stable subsequence in the solubility processing sequence, the data with the same position are extracted from the temperature processing sequence of each acquisition cycle and recorded as the temperature stable subsequence of each acquisition cycle. The ratio of the range of the temperature-stable subsequence to the mean of the deceleration-stable subsequence in each acquisition period is recorded as the first ratio for each acquisition period.
6. The salt spray test method for a fast-heat dissipation router casing as described in claim 1, characterized in that, The parameter increase index for each acquisition cycle refers to the ratio of the variance of the temperature data for each acquisition cycle to the salt spray indifference index for the corresponding acquisition cycle.
7. The salt spray test method for a fast-heat dissipation router casing as described in claim 1, characterized in that, The formula for calculating the proportional coefficient of the PID control algorithm in the next acquisition cycle is as follows: In the formula, This is the proportional coefficient of the PID control algorithm in the (i+1)th acquisition cycle; This is the preset initial scaling factor in the (i+1)th acquisition cycle; Let be the parameter increase index for the i-th acquisition cycle; It is the hyperbolic tangent function.
8. The salt spray test method for a fast-heat dissipation router casing as described in claim 1, characterized in that, During the entire salt spray test, the temperature was controlled using a preset initial proportional coefficient in the first acquisition cycle; the proportional coefficient for the second acquisition cycle was calculated based on the parameter increase index of the first acquisition cycle, and the temperature was controlled for the second acquisition cycle. Similarly, the proportional coefficient for each subsequent acquisition cycle is calculated, and temperature control is applied to each acquisition cycle.
9. The salt spray test method for a fast-heat dissipation router casing as described in claim 1, characterized in that, The salt spray test results for the router casing were obtained using the mass loss method.
10. A salt spray testing device for a fast-heat dissipation router casing, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the salt spray test method for a fast-heat dissipation router casing as described in any one of claims 1-9.