Method and equipment for determining environment variable data

Abstract

The invention provides an environment variable data determination method and equipment, and the method comprises the steps: segmenting a preset time period, obtaining a plurality of continuous sub time periods / moments, and determining a time parameter; acquiring initial variable data of each sub-time period / moment based on the time parameters, wherein the initial variable data comprises at least one of initial temperature data, initial humidity data, initial irradiance data and initial salt mist concentration data; and the environment variable data is determined by combining at least one of an average algorithm, an equivalent algorithm and a percentile algorithm, so that the real environment of the target region can be more accurately converted into environment data required by the accelerated environment test.

Description

Technical Field

[0001] This application relates to the field of environmental testing technology, specifically to a method and apparatus for determining environmental variable data. Background Technology

[0002] Accelerated testing involves simulating or intensifying real-world environmental conditions in a laboratory to assess the durability and reliability of materials, products, or systems within a shorter timeframe. Specifically, it can be termed Accelerated Environmental Testing (AET). To ensure the validity of test results, it is crucial to accurately determine the typical characteristic values ​​of key environmental variables (such as temperature, humidity, irradiance, and salt spray concentration). These variables are typically determined based on long-term environmental monitoring data, statistical analysis, and physical models. However, determining the values ​​of environmental variables presents challenges when compressing real-world regional environments into laboratory stresses during accelerated testing. For example, instantaneous or peak values ​​are not representative, while average values, though representative, fail to capture the extreme effects of instantaneous or peak values. Furthermore, when determining acceleration factors in related technologies, environmental data often uses annual average temperatures and humidity, which does not reflect reality. This makes it difficult to accurately convert real-world regional environments into laboratory accelerated stresses, thus affecting the validity of accelerated test results. Summary of the Invention

[0003] This application provides a method and apparatus for determining environmental variable data, aiming to solve the problem that it is difficult to accurately convert real-world environmental conditions into laboratory accelerated stress, which affects the validity of accelerated test results.

[0004] In a first aspect, this application provides a method for determining environmental variable data, applied to accelerated environmental testing, including:

[0005] The preset time period is segmented to obtain multiple consecutive sub-time periods / moments, and the time parameters are determined.

[0006] Initial variable data for the target area are obtained based on time parameters within each of the sub-time periods / moments; the initial variable data includes at least one of initial temperature data, initial humidity data, initial irradiance data, and initial salt spray concentration data;

[0007] Based on a preset algorithm and the initial variable data, environmental variable data within the preset time period are determined; the preset algorithm includes at least one of an averaging algorithm, an equivalent algorithm, and a percentile algorithm; the environmental variable data includes at least one of environmental irradiance data, environmental salt spray concentration data, environmental temperature data, and environmental humidity data.

[0008] Secondly, this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method described thereon.

[0009] This application provides a method and apparatus for determining environmental variable data. By segmenting a preset time period, multiple consecutive sub-time periods / moments are obtained, and time parameters are determined. Based on the time parameters, initial variable data for each sub-time period / moment are obtained. The initial variable data includes at least one of initial temperature data, initial humidity data, initial irradiance data, and initial salt spray concentration data. The environmental variable data is determined by combining at least one of the averaging algorithm, equivalent algorithm, and percentile algorithm. This method can more accurately convert the real environment of the target area into environmental data required for accelerated environmental testing. Attached Figure Description

[0010] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 A flowchart illustrating a method for determining environmental variable data provided in embodiments of this application;

[0012] Figure 2 A comparative diagram of ambient temperature data provided for embodiments of this application;

[0013] Figure 3 A comparative diagram of environmental humidity data provided for embodiments of this application;

[0014] Figure 4 A schematic diagram of the structure of the device for determining environmental variable data provided in the embodiments of this application;

[0015] Figure 5 This is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0016] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0017] In the description of this application, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are used only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of the stated features. In the description of this application, "a plurality of" means two or more, unless otherwise explicitly specified.

[0018] "A and / or B" includes the following three combinations: A only, B only, and a combination of A and B.

[0019] The use of "applies to" or "configured to" in this application implies open and inclusive language, which does not exclude the applicability to or configuration to devices performing additional tasks or steps. Additionally, the use of "based on" implies openness and inclusivity, because processes, steps, calculations, or other actions "based on" one or more of the stated conditions or values ​​may in practice be based on additional conditions or values ​​beyond those stated.

[0020] In this application, the term "exemplary" is used to mean "used as an example, illustration, or description." Any embodiment described as "exemplary" in this application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use this application. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that this application can be made without using these specific details. In other instances, well-known structures and processes are not described in detail to avoid obscuring the description of this application with unnecessary detail. Therefore, this application is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed in this application.

[0021] Temperature is a key factor affecting material aging, electronic component failure, and structural corrosion. In accelerated testing, temperature conditions must reflect the actual climate characteristics of the target region, including extreme temperatures and daily / annual temperature cycles. Determining regional temperatures involves analyzing long-term meteorological data and statistically analyzing the highest, lowest, and average temperatures.

[0022] Humidity (RH), especially in high-humidity environments, accelerates metal corrosion, material expansion due to moisture absorption, and electronic equipment failure. Humidity variables often work in conjunction with temperature (e.g., in thermodynamic cycling), and monthly average RH and peak RH are typically calculated based on meteorological data.

[0023] Solar radiation, especially ultraviolet radiation (UV), can cause photo-oxidation of materials, chalking of coatings, and embrittlement of plastics.

[0024] Salt spray, which mainly contains sodium chloride (NaCl), can accelerate metal corrosion, short circuits in electronic devices, and coating peeling.

[0025] Figure 1 A flowchart illustrating the method for determining environmental variable data provided in embodiments of this application is shown below. Figure 1 As shown, this embodiment provides a method for determining environmental variable data, applied to accelerated environmental testing, including:

[0026] Step 101: Divide the preset time period into segments to obtain multiple consecutive sub-time periods / moments, and determine the time parameters.

[0027] In this embodiment, the preset time period can be any continuous time period for which environmental variable data needs to be evaluated in accelerated environmental testing, such as a year or a quarter. Segmentation processing can be the operation of dividing the preset time period into multiple continuous and non-overlapping sub-time periods / moments at fixed time intervals. A sub-time period can be a smaller time unit obtained after segmentation processing, such as a day or a month; a moment can be a discrete time point obtained after segmentation processing, such as 0:00 or 12:00 every day. Time parameters can be parameters used to describe the segmentation results, including the duration of the sub-time period (e.g., 24 hours), the number of sub-time periods (e.g., 365), the interval of moments (e.g., 12 hours / time), and the total duration of the preset time period, etc.

[0028] Step 102: Obtain the initial variable data of the target area in each sub-time period / moment based on the time parameter; the initial variable data includes at least one of the following: initial temperature data, initial humidity data, initial irradiance data, and initial salt spray concentration data.

[0029] In this embodiment, the target area can be a specific geographical region where the accelerated environmental testing is conducted for the actual application of the product. The initial variable data can be the raw environmental data of the target area obtained through monitoring equipment or meteorological data within each sub-time period / moment. The initial variable data includes: initial temperature data (raw temperature data of the target area within the sub-time period / moment), initial humidity data (raw relative humidity data of the target area within the sub-time period / moment), initial irradiance data (raw solar irradiance intensity data of the target area within the sub-time period / moment), and initial salt spray concentration data (raw salt spray content data of the target area within the sub-time period / moment).

[0030] In this embodiment, the specific time range of each sub-time period / moment can be determined according to the time parameter; for the target area, the corresponding raw environmental data within each sub-time period / moment is collected through environmental monitoring equipment, meteorological databases or professional monitoring networks; the collected data is filtered and matched to ensure that each sub-time period / moment corresponds to a complete set of initial variable data.

[0031] Step 103: Based on the preset algorithm and initial variable data, determine the environmental variable data within the preset time period; the preset algorithm includes at least one of the average algorithm, equivalent algorithm and percentile algorithm; the environmental variable data includes at least one of the environmental irradiance data, environmental salt spray concentration data, environmental temperature data and environmental humidity data.

[0032] In this embodiment, the preset algorithm can be a calculation method used to process initial variable data to obtain environmental variable data. The preset algorithm includes an averaging algorithm that weights or arithmetically averages the initial variable data based on the duration of sub-time periods; an equivalent algorithm that transforms changing initial variable data into constant equivalent values ​​by establishing an equivalent model; and a percentile algorithm that determines target variable data based on statistical percentiles. The environmental variable data can be standardized environmental data that, after processing by the preset algorithm, can be used to accelerate environmental testing. The environmental variable data includes environmental irradiance data (characterizing the irradiance level of the target area within a preset time period); environmental salt spray concentration data (characterizing the salt spray level of the target area within a preset time period); environmental temperature data (characterizing the temperature level of the target area within a preset time period); and environmental humidity data (characterizing the humidity level of the target area within a preset time period).

[0033] This application can more accurately transform the real environment of the target area into the environmental data required for accelerated environmental testing by segmenting a preset time period, obtaining initial variable data for each sub-time period, and combining multiple preset algorithms to determine environmental variable data.

[0034] In one embodiment, the initial variable data includes initial irradiance data; the preset algorithm includes an averaging algorithm; the environmental variable data includes environmental irradiance data; and based on the preset algorithm and the initial variable data, the environmental variable data within a preset time period is determined, including:

[0035] Environmental irradiance data are determined based on the averaging algorithm, time parameters, and initial irradiance data.

[0036] In this embodiment, the acquired radiation intensity data can be used as the initial irradiance data.

[0037] In this embodiment, the calculation method for determining the environmental irradiance data based on the average algorithm, time parameters, and initial irradiance data is shown in formula (1):

[0038]

[0039] Where I represents the equivalent irradiance, which in this embodiment can be defined as the environmental irradiance data; (Δt) i I represents the number of seconds on the i-th day or month. i This represents the average irradiance for that day or month.

[0040] This application uses an averaging algorithm combined with sub-time periods and initial irradiance data to determine environmental irradiance data, which can more reasonably characterize the irradiance level of the target area within a preset time period.

[0041] In one embodiment, the initial variable data includes initial salt spray concentration data; the preset algorithm includes an averaging algorithm; the environmental variable data includes environmental salt spray concentration data; and based on the preset algorithm and the initial variable data, the environmental variable data within a preset time period are determined, including:

[0042] The environmental salt spray concentration data is determined based on the average algorithm, time parameters, and initial salt spray concentration data.

[0043] In this embodiment, the acquired salt particle deposition amount can be used as the initial salt fog concentration data. It should be noted that the process of determining the environmental salt fog concentration data based on the averaging algorithm, time parameters, and initial salt fog concentration data can refer to the description of determining the environmental irradiance data. Regarding the value of equivalent salt fog, the calculation method of weighted average salt fog is the same as the calculation method of equivalent irradiance, and will not be repeated here.

[0044] This application uses an averaging algorithm combined with sub-time periods and initial salt fog concentration data to determine environmental salt fog concentration data, which can more reasonably characterize the salt fog level of the target area within a preset time period.

[0045] In related technologies, theoretical analysis shows that acceleration factors (AFs) under the synergistic effect of light and heat require specific temperature and irradiance data. The inventors have innovatively proposed constant equivalent temperature data (T... eff )concept.

[0046] When determining the acceleration factor, the environmental data used are the annual average temperature and humidity. However, this does not reflect reality. Therefore, it is necessary to use the actual operating ambient temperature T. Field (Unit: Kelvin K) and relative humidity (RH) of the actual operating environment Field The value of (%) has been improved.

[0047] In one embodiment, the initial variable data includes initial temperature data and initial irradiance data; the preset algorithm includes an equivalent algorithm; the environmental variable data includes ambient temperature data; and based on the preset algorithm and the initial variable data, the environmental variable data within a preset time period is determined, including:

[0048] The expression for the first damage parameter for a preset time period is determined based on the preset Arrhenius model, initial temperature data, initial irradiance data, and time parameters.

[0049] Based on the equivalent algorithm and the ambient temperature data in the first damage parameter expression, equivalent processing is performed to obtain the first equivalent parameter expression for a preset time period.

[0050] The equivalent environmental temperature data is determined by combining the expressions for the first damage parameter and the first equivalent parameter.

[0051] In this embodiment, the initial temperature data can be thermodynamic temperature data (unit: Kelvin K). The equivalent algorithm can be an algorithm that establishes an equivalent model so that the damage caused by constant equivalent data is the same as the damage caused by changing initial variable data. The Arrhenius model can be a model used to describe the effect of temperature stress on the product degradation rate k, and its expression can be k = γexp(-E a / R1T), where γ is the pre-exponential factor, a constant related to the product's own characteristics and the test characteristics; E a The activation energy is related to the product material and can generally be considered a constant independent of temperature (unit: J / mol), or a value ranging from 0.3 eV to 1.5 eV, typically taken as 0.8 eV; R1 is the molar gas constant (value can be 8.314 J / (mol·K)), or R1 is the Boltzmann constant (value can be 8.617 × 10⁻⁵ eV / K); T is the thermodynamic temperature (unit: K).

[0052] In this embodiment, the first damage parameter can be the damage caused by the combination of initial temperature data and initial irradiance data within a preset time period, that is, the damage caused by the combination of light and heat within a certain period of time. The ambient temperature data can be a constant equivalent temperature data T. eff The first equivalent parameter can be the damage caused by a combination of equivalent temperature data and initial irradiance data within a preset time period.

[0053] In this embodiment, the process of determining the expression for the first damage parameter for the preset time period based on the preset Arrhenius model, the initial temperature data, the initial irradiance data, and the time parameter may include: When exposed to sunlight, the combined effect of irradiance and temperature leads to a photochemically induced degradation process. The Arrhenius equation must be modified to account for the influence of irradiance. The term on the right-hand side of the Arrhenius equation is multiplied by the irradiance I. Therefore, the expression for the rate change of the process under exposure to light and irradiance can be: k = Iγexp(-E a / R1T). The expression for determining the preset time period based on sub-time periods can be:

[0054] t=∑ i (Δt) i The calculation method for the damage caused by the combination of light and heat over a period of time is shown in formula (2.1):

[0055]

[0056] Among them, T i Let time t i The material temperature.

[0057] In this embodiment, the process of obtaining the first equivalent parameter expression for a preset time period by performing equivalent processing based on the equivalent algorithm and the ambient temperature data in the first damage parameter expression may include: assuming equivalent temperature data T eff The resulting degradation is the same as that caused by temperature changes after outdoor exposure to sunlight. Therefore, the calculation method for the damage caused by the combination of equivalent temperature data and initial irradiance data within a preset time period is shown in formula (2.2):

[0058]

[0059] In this embodiment, the process of determining the equivalent environmental temperature data by combining the first damage parameter expression and the first equivalent parameter expression may include: in order to obtain the equivalent temperature data T eff Solving the simultaneous equations (2.1) and (2.2) yields the equivalent temperature data T. eff This forms the core of the formula. The calculation process is as follows:

[0060] Simplify, omitting γ.

[0061] In the formula on the right, It is a constant (independent of index i), therefore it can be extracted outside the summation symbol:

[0062]

[0063] make:

[0064] B = ∑ i I i (Δt) i .

[0065] The equation then simplifies to:

[0066] Rearrangement:

[0067] Take the natural logarithm:

[0068] tidy:

[0069] Solving for equivalent temperature data T eff :

[0070] Substitute the definitions of A and B:

[0071] Therefore, the calculated equivalent temperature data T eff Because it incorporates the effects of irradiance, time, and product materials (Ea), it better reflects environmental changes and is more representative. This application determines environmental temperature data by combining the Arrhenius model, equivalent algorithms, and initial temperature and irradiance data, which can more accurately reflect the true environmental temperature characteristics under the combined effects of temperature and irradiance.

[0072] In one embodiment, the initial variable data includes initial temperature data, initial humidity data, and initial irradiance data; the preset algorithm includes an equivalent algorithm; the environmental variable data includes ambient temperature data; and based on the preset algorithm and the initial variable data, the environmental variable data within a preset time period is determined, including:

[0073] The expression for the second damage parameter for a preset time period is determined based on the preset Ailin model, initial humidity data, initial temperature data, initial irradiance data, and time parameters.

[0074] Based on the equivalent algorithm, the ambient temperature data in the second damage parameter expression is processed to obtain the second equivalent parameter expression for a preset time period.

[0075] The equivalent environmental temperature data is determined by combining the expressions for the second damage parameter and the second equivalent parameter.

[0076] In this embodiment, the Ayring model can be a model used to describe the combined effect of light, heat, and relative humidity on the product degradation rate. The second damage parameter can be a ternary damage caused by a combination of initial humidity data, initial temperature data, and initial irradiance data within a preset time period. The calculation method for determining the expression of the second damage parameter within the preset time period based on the preset Ayring model, initial humidity data, initial temperature data, initial irradiance data, and time parameter is shown in formula (3.1):

[0077]

[0078] Wherein, β is an empirical constant that depends on the device failure mode. The value of β is 281.86.

[0079] In this embodiment, the second equivalent parameter can be the damage caused by a combination of initial humidity data, equivalent temperature data, and initial irradiance data within a preset time period. On-site, the photovoltaic modules will be exposed to a time series of irradiance, heating, and humidity. Assuming the equivalent temperature data T... eff The resulting degradation is the same as that caused by temperature changes after outdoor exposure to sunlight. Based on the equivalent algorithm and the environmental temperature data in the second damage parameter expression, the calculation method of the second equivalent parameter expression for the preset time period is shown in formula (3.2.1):

[0080]

[0081] In this embodiment, the process of determining the equivalent environmental temperature data based on the combined expression of the second damage parameter and the second equivalent parameter may include: obtaining the equivalent temperature data T for the Ayring model. eff Combining (3.1) and (3.2.1), we have:

[0082] Dividing both sides by γ, we get:

[0083]

[0084] Decompose the exponential term into a product of independent factors:

[0085]

[0086] Note It is a constant (independent of index i), therefore it can be extracted outside the summation symbol:

[0087]

[0088] Solving for equivalent temperature data T eff :

[0089]

[0090] Therefore, the equivalent temperature data T eff Because it incorporates the effects of irradiance, time, type of testing equipment, and humidity, it better reflects environmental changes and is more representative. This application determines environmental temperature data by combining the Alling model, equivalent algorithm, and initial temperature, humidity, and irradiance data, which can more accurately reflect the real environmental temperature characteristics under the combined effects of temperature, humidity, and irradiance.

[0091] In one embodiment, the initial variable data includes initial temperature data, initial humidity data, and initial irradiance data; the preset algorithm includes an equivalent algorithm; the environmental variable data includes ambient temperature data; and based on the preset algorithm and the initial variable data, the environmental variable data within a preset time period is determined, including:

[0092] The expression for the third damage parameter for a preset time period is determined based on the preset Parker model, initial humidity data, initial temperature data, initial irradiance data, and time parameters.

[0093] Based on the equivalent algorithm and the environmental temperature data in the third damage parameter expression, equivalent processing is performed to obtain the third equivalent parameter expression for a preset time period.

[0094] The equivalent environmental temperature data is determined by combining the expressions for the third damage parameter and the third equivalent parameter.

[0095] In this embodiment, the Peck model can be a model used to describe the combined effect of light, heat, and relative humidity on the product degradation rate. The third damage parameter can be a ternary damage caused by a combination of initial humidity data, initial temperature data, and initial irradiance data within a preset time period. The calculation method for determining the expression of the third damage parameter within the preset time period based on the preset Peck model, initial humidity data, initial temperature data, initial irradiance data, and time parameters is shown in formula (4.1):

[0096]

[0097] Where n is an empirical constant that depends on the device failure mode. n is a constant with a value ranging from 1 to 12, and is generally taken as 3 or 3.82.

[0098] In this embodiment, the third equivalent parameter can be the damage caused by a combination of initial humidity data, equivalent temperature data, and initial irradiance data within a preset time period. Assume the equivalent temperature data T... effThe resulting degradation is the same as that caused by temperature changes after outdoor exposure to sunlight. Based on the equivalent algorithm and the environmental temperature data in the third damage parameter expression, the calculation method of the third equivalent parameter expression for the preset time period is shown in formula (4.2.1):

[0099]

[0100] In this embodiment, the process of determining the equivalent environmental temperature data based on the combined expression of the third damage parameter and the third equivalent parameter may include: obtaining the equivalent temperature data T for the Peck model. eff Combining (4.1) and (4.2.1), we have:

[0101] Note Since it is a constant (independent of index i), it can be extracted outside the summation symbol, and let ω i =I i (RH i ) n (Δt) i .

[0102] The equation then becomes: γ has been cancelled.

[0103] make:

[0104] W = ∑ i ω i and but: Rewritten as: Substituting the definitions of W and S, we can solve for the equivalent temperature data T. eff :T eff =

[0105]

[0106] Therefore, the equivalent temperature data T eff Because it incorporates the effects of irradiance, time, type of testing equipment, and humidity, it better reflects environmental changes and is more representative. This application determines environmental temperature data by combining the Parker model, equivalent algorithm, and initial temperature, humidity, and irradiance data, which can more accurately reflect the real environmental temperature characteristics under the combined effects of temperature, humidity, and irradiance.

[0107] In one embodiment, the environmental variable data includes ambient humidity data; determining the environmental variable data within a preset time period based on a preset algorithm and initial variable data includes:

[0108] Based on the equivalent algorithm, the environmental humidity data in the second damage parameter expression is processed to obtain the fourth equivalent parameter expression for a preset time period.

[0109] The equivalent environmental humidity data is determined by combining the expressions for the second damage parameter and the fourth equivalent parameter.

[0110] In this embodiment, the ambient humidity data can be a constant equivalent humidity data RH. eff The fourth equivalent parameter can be the damage caused by a combination of equivalent humidity data, initial temperature data, and initial irradiance data within a preset time period. Assuming the equivalent humidity data is RH... eff The resulting degradation is the same as that caused by changes in humidity in the outdoor environment. Based on the equivalent algorithm and the environmental humidity data in the second damage parameter expression, the calculation method of the fourth equivalent parameter expression for the preset time period is shown in formula (3.2.2):

[0111]

[0112] In this embodiment, the process of determining the equivalent environmental humidity data based on the combined expression of the second damage parameter and the fourth equivalent parameter may include: obtaining the equivalent humidity data RH for the Ayring model. eff Combining (3.1) and (3.2.2), we have:

[0113]

[0114] Solving for equivalent humidity data (RH) eff :

[0115] Therefore, the equivalent humidity data RH eff Because it incorporates the effects of irradiance, time, test equipment type, and humidity, it better reflects environmental changes and is more representative. This application determines environmental humidity data by combining the Erin model, equivalent algorithm, and second damage parameter, which can more accurately reflect the real environmental humidity characteristics under the combined effects of temperature, humidity, and irradiation.

[0116] In one embodiment, the environmental variable data includes ambient humidity data; determining the environmental variable data within a preset time period based on a preset algorithm and initial variable data includes:

[0117] Based on the equivalent algorithm and the environmental humidity data in the third damage parameter expression, the fifth equivalent parameter expression for the preset time period is obtained by equivalent processing.

[0118] The equivalent environmental humidity data is determined by combining the expressions for the third damage parameter and the fifth equivalent parameter.

[0119] In this embodiment, the fifth equivalent parameter can be the damage caused by a combination of equivalent humidity data, initial temperature data, and initial irradiance data within a preset time period. Assume the equivalent humidity data is RH. eff The resulting degradation is the same as that caused by changes in humidity in the outdoor environment. Based on the equivalent algorithm and the environmental humidity data in the third damage parameter expression, the calculation method of the fifth equivalent parameter expression for the preset time period is shown in formula (4.2.2):

[0120]

[0121] In this embodiment, the process of determining the equivalent environmental humidity data based on the combined expression of the third damage parameter and the fifth equivalent parameter may include: obtaining the equivalent humidity data RH for the Peck model. eff Combining (4.1) and (4.2.2), we have:

[0122]

[0123] Solving for equivalent humidity data (RH) eff :

[0124] Therefore, the equivalent humidity data RH eff Because it incorporates the effects of irradiance, time, type of testing equipment, and humidity, it better reflects environmental changes and is more representative. This application determines environmental humidity data by combining the Parker model, equivalent algorithm, and third damage parameter, which can more accurately reflect the real environmental humidity characteristics under the combined effects of temperature, humidity, and irradiation.

[0125] In one embodiment, the initial variable data includes initial temperature data, initial humidity data, and initial irradiance data; the preset algorithm includes an equivalent algorithm; the environmental variable data includes ambient temperature data; and based on the preset algorithm and the initial variable data, the environmental variable data within a preset time period is determined, including:

[0126] The expression for the fourth damage parameter for a preset time period is determined based on the preset Lawson model, initial humidity data, initial temperature data, initial irradiance data, and time parameters.

[0127] Based on the equivalent algorithm and the ambient temperature data in the fourth damage parameter expression, the sixth equivalent parameter expression for a preset time period is obtained through equivalent processing.

[0128] The equivalent environmental temperature data are determined by combining the expressions for the fourth damage parameter and the sixth equivalent parameter.

[0129] In this embodiment, the Lawson model can be used to describe the effect of temperature and humidity on the product degradation rate, and its modified version expression is as follows:

[0130] Among them, T Test To accelerate the test temperature; RH Test The relative humidity is used for testing. The fourth damage parameter can be the ternary damage caused by the combination of initial humidity data, initial temperature data, and initial irradiance data within a preset time period. The calculation method for the expression of the fourth damage parameter within the preset time period, based on the preset Lawson model, initial humidity data, initial temperature data, initial irradiance data, and time parameters, is shown in formula (5.1):

[0131]

[0132] Where b is an empirical humidity constant based on water absorption rate; in many electronic applications, including silicon wafers, b = 5.57 x 10⁻⁶. 4 Alternatively, the value of b can be determined through experimentation.

[0133] In this embodiment, the sixth equivalent parameter can be the damage caused by a combination of initial humidity data, equivalent temperature data, and initial irradiance data within a preset time period. Assume the equivalent temperature data T... eff The resulting degradation is the same as that caused by temperature changes after outdoor exposure to sunlight. Based on the equivalent algorithm and the environmental temperature data in the fourth damage parameter expression, the calculation method of the sixth equivalent parameter expression for the preset time period is shown in formula (5.2.1):

[0134]

[0135] In this embodiment, the process of determining the equivalent environmental temperature data by simultaneously solving the fourth damage parameter expression and the sixth equivalent parameter expression may include: obtaining the equivalent temperature data T for the Lawson model. eff Combining (5.1) and (5.2.1), we have:

[0136]

[0137] Both sides can be divided by the constant γ simultaneously, and It is independent of i and can be moved outside the summation symbol:

[0138]

[0139] Solving for equivalent temperature data T eff :

[0140] Therefore, the equivalent temperature data Teff Because it incorporates the effects of irradiance, time, type of testing equipment, and humidity, it better reflects environmental changes and is more representative. This application determines environmental temperature data by combining the Lawson model, equivalent algorithm, and initial temperature, humidity, and irradiance data, which can more accurately reflect the real environmental temperature characteristics under the combined effects of temperature, humidity, and irradiance.

[0141] In one embodiment, the environmental variable data includes ambient humidity data; determining the environmental variable data within a preset time period based on a preset algorithm and initial variable data includes:

[0142] Based on the equivalent algorithm and the environmental humidity data in the fourth damage parameter expression, the seventh equivalent parameter expression for the preset time period is obtained by equivalent processing.

[0143] The equivalent environmental humidity data is determined by combining the expressions for the fourth damage parameter and the seventh equivalent parameter.

[0144] In this embodiment, the seventh equivalent parameter can be the damage caused by a combination of equivalent humidity data, initial temperature data, and initial irradiance data within a preset time period. Assume the equivalent humidity data is RH. eff The resulting degradation is the same as that caused by changes in humidity in the outdoor environment. Based on the equivalent algorithm and the environmental humidity data in the fourth damage parameter expression, the calculation method of the seventh equivalent parameter expression for the preset time period is shown in formula (5.2.2):

[0145]

[0146] In this embodiment, the process of determining the equivalent environmental humidity data by simultaneously solving the expressions for the fourth damage parameter and the seventh equivalent parameter may include: for the Lawson model, to obtain the equivalent temperature data Teff, simultaneously solving (5.1) and (5.2.2) yields:

[0147]

[0148] exp(b×RH) eff 2 The problem proposes (since it is independent of i) to solve for the equivalent humidity data RH. eff :

[0149] Therefore, the equivalent humidity data RH effBecause it incorporates the effects of irradiance, time, type of testing equipment, and humidity, it better reflects environmental changes and is more representative. This application determines environmental temperature data by combining the Lawson model, equivalent algorithm, and initial temperature, humidity, and irradiance data, which can more accurately reflect the real environmental temperature characteristics under the combined effects of temperature, humidity, and irradiance.

[0150] In one embodiment, the preset algorithm includes a percentile algorithm; based on the preset algorithm and initial variable data, environmental variable data within a preset time period are determined, including:

[0151] Based on the percentile algorithm and multiple initial variable data, the target variable data is determined and identified as environmental variable data.

[0152] In this embodiment, the percentile algorithm can be an algorithm based on statistical principles to determine the target variable data corresponding to a certain percentile from multiple initial variable data. For example, the percentile algorithm can be to take the 50th percentile, where the 50th percentile can be a quantile estimated based on experience. The process of determining the 50th percentile may include: sorting multiple initial variable data in ascending order and finding the variable data in the middle position. The target variable data can be a specific value determined from multiple initial variable data based on the percentile algorithm, such as the temperature value corresponding to the 50th percentile.

[0153] This application determines environmental variable data by combining percentile algorithms, which can ensure data representativeness while taking into account the impact of extreme environmental factors. This improves the technical problem in related technologies where taking instantaneous values ​​or peak values ​​is not representative and taking average values ​​cannot reflect extreme effects, resulting in inaccurate environmental variable data and affecting the validity of accelerated environmental test results.

[0154] The following describes the method for determining environmental variable data provided in the embodiments of this application. Figure 2 A comparative diagram of ambient temperature data provided for embodiments of this application, such as... Figure 2As shown, the equivalent temperature data Teff-Arrhenius was calculated based on the Arrhenius model and compared with the annual maximum daily average temperature, annual minimum daily average temperature, and annual average temperature; the equivalent temperature data Teff-Ayring was calculated based on the Alling model and compared with the annual maximum daily average temperature, annual minimum daily average temperature, and annual average temperature; the equivalent temperature data Teff-Peck was calculated based on the Park model and compared with the annual maximum daily average temperature, annual minimum daily average temperature, and annual average temperature; the equivalent temperature data Teff-Lawson was calculated based on the Lawson model and compared with the annual maximum daily average temperature, annual minimum daily average temperature, and annual average temperature. The comparison results show that the equivalent temperatures (Teff) calculated based on different models such as Arrhenius, Alling, Park, and Lawson are significantly higher than the annual average temperature, reflecting the more damaging temperature stress level in the real environment; however, they are also significantly lower than the annual maximum daily average temperature, avoiding the problem of lack of general representativeness caused by using only extreme peak temperatures.

[0155] Figure 3 A comparative diagram of environmental humidity data provided for embodiments of this application, such as... Figure 3 As shown, the equivalent humidity data RHeff-Ayring was calculated based on the Ayring model and compared with the annual average humidity; the equivalent humidity data RHeff-Peck was calculated based on the Parker model and compared with the annual average humidity; the equivalent humidity data RHeff-Lawson was calculated based on the Lawson model and compared with the annual average humidity. The comparison results show that the equivalent humidity values ​​obtained from the Ayring, Parker, and Lawson models differ significantly from the annual average humidity. Specifically, the equivalent humidity of "RHeff-Lawson" is significantly higher than the annual average humidity, as is the equivalent humidity of "RHeff-Ayring," while the equivalent humidity of "RHeff-Peck" is lower than the annual average humidity. This indicates that equivalent humidity, based on different models, can more accurately reflect the humidity stress level that is practically significant for accelerated environmental testing in the real environment, compensating for the insufficient representativeness of annual average humidity. It can provide humidity parameters that are more consistent with actual damage patterns for accelerated environmental testing, demonstrating the flexibility and superiority of equivalent humidity in characterizing environmental humidity stress.

[0156] Figure 4 A schematic diagram of the structure of the device for determining environmental variable data provided in the embodiments of this application is shown below. Figure 4 As shown, the environmental variable data determination device 400, used in accelerated environmental testing, includes:

[0157] The segmentation module 401 is used to segment a preset time period to obtain multiple consecutive sub-time periods / moments and determine time parameters.

[0158] The acquisition module 402 is used to acquire initial variable data of the target area in each sub-time period / moment based on time parameters; the initial variable data includes at least one of initial temperature data, initial humidity data, initial irradiance data, and initial salt spray concentration data;

[0159] The determination module 403 is used to determine environmental variable data within a preset time period based on a preset algorithm and initial variable data; the preset algorithm includes at least one of the average algorithm, equivalent algorithm and percentile algorithm; the environmental variable data includes at least one of the environmental irradiance data, environmental salt spray concentration data, environmental temperature data and environmental humidity data.

[0160] In one embodiment, the initial variable data includes initial irradiance data and / or initial salt spray concentration data; the preset algorithm includes an averaging algorithm; the environmental variable data includes environmental irradiance data and / or environmental salt spray concentration data; the determination module 403 is further configured to determine environmental irradiance data based on the averaging algorithm, time parameters, and initial irradiance data; and / or determine environmental salt spray concentration data based on the averaging algorithm, time parameters, and initial salt spray concentration data.

[0161] In one embodiment, the initial variable data includes initial temperature data and initial irradiance data; the preset algorithm includes an equivalent algorithm; the environmental variable data includes ambient temperature data; the determining module 403 is further configured to determine a first damage parameter expression for a preset time period based on the preset Arrhenius model, the initial temperature data, the initial irradiance data, and the time parameter; perform equivalent processing on the ambient temperature data in the equivalent algorithm and the first damage parameter expression to obtain a first equivalent parameter expression for the preset time period; and determine the equivalent ambient temperature data by combining the first damage parameter expression and the first equivalent parameter expression.

[0162] In one embodiment, the initial variable data includes initial temperature data, initial humidity data, and initial irradiance data; the preset algorithm includes an equivalent algorithm; the determining module 403 is further configured to determine a second damage parameter expression for a preset time period based on the preset Ailin model, initial humidity data, initial temperature data, initial irradiance data, and time parameters; perform equivalent processing on the ambient temperature data in the equivalent algorithm and the second damage parameter expression to obtain a second equivalent parameter expression for the preset time period; and determine the equivalent ambient temperature data by combining the second damage parameter expression and the second equivalent parameter expression.

[0163] In one embodiment, the initial variable data includes initial temperature data, initial humidity data, and initial irradiance data; the preset algorithm includes an equivalent algorithm; the determining module 403 is further configured to determine a third damage parameter expression for a preset time period based on the preset Parker model, initial humidity data, initial temperature data, initial irradiance data, and time parameters; perform equivalent processing on the ambient temperature data in the equivalent algorithm and the third damage parameter expression to obtain a third equivalent parameter expression for the preset time period; and determine the equivalent ambient temperature data by combining the third damage parameter expression and the third equivalent parameter expression.

[0164] In one embodiment, the environmental variable data includes environmental humidity data; the determining module 403 is further configured to perform equivalent processing on the environmental humidity data in the second damage parameter expression based on the equivalent algorithm, to obtain a fourth equivalent parameter expression for a preset time period; and to determine the equivalent environmental humidity data by combining the second damage parameter expression and the fourth equivalent parameter expression.

[0165] In one embodiment, the environmental variable data includes environmental humidity data; the determining module 403 is further configured to perform equivalent processing based on the equivalent algorithm and the environmental humidity data in the third damage parameter expression to obtain a fifth equivalent parameter expression for a preset time period; and determine the equivalent environmental humidity data by combining the third damage parameter expression and the fifth equivalent parameter expression.

[0166] In one embodiment, the initial variable data includes initial temperature data, initial humidity data, and initial irradiance data; the preset algorithm includes an equivalent algorithm; the environmental variable data includes ambient temperature data; the determining module 403 is further configured to determine a fourth damage parameter expression for a preset time period based on the preset Lawson model, initial humidity data, initial temperature data, initial irradiance data, and time parameters; perform equivalent processing on the ambient temperature data in the equivalent algorithm and the fourth damage parameter expression to obtain a sixth equivalent parameter expression for the preset time period; and determine the equivalent ambient temperature data by combining the fourth damage parameter expression and the sixth equivalent parameter expression.

[0167] In one embodiment, the environmental variable data includes environmental humidity data; the determining module 403 is further configured to perform equivalent processing based on the equivalent algorithm and the environmental humidity data in the fourth damage parameter expression to obtain the seventh equivalent parameter expression for a preset time period; and determine the equivalent environmental humidity data by combining the fourth damage parameter expression and the seventh equivalent parameter expression.

[0168] To implement the method of the embodiments of this application, Figure 5 This is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of this application, such as... Figure 5As shown in the illustration, this application embodiment also provides an electronic device 50 that may include: a memory 501 for storing a computer program; and a processor 502 for implementing the method described above when executing the computer program. For example, the processor 502 may be used to implement the steps in any of the methods described above, which will not be elaborated further here.

[0169] It should be noted that the electronic devices provided in the above embodiments and the above method embodiments belong to the same concept, and their specific implementation process can be found in the method embodiments, which will not be repeated here.

[0170] Of course, in practical applications, such as Figure 5 As shown, the electronic device 50 may further include at least one network interface 503. Various components in the electronic device are coupled together via a bus system 504. It is understood that the bus system 504 is used to implement communication between these components. In addition to a data bus, the bus system 504 also includes a power bus, a control bus, and a status signal bus. However, for clarity, in... Figure 5Various buses are labeled as bus system 504. The number of processors 502 can be at least one. Network interface 503 is used for wired or wireless communication between electronic devices and other devices. Memory 501 in this embodiment is used to store various types of data to support the operation of the electronic device. The methods disclosed in the above embodiments can be applied to processor 502, or implemented by processor 502. Processor 502 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuit of the hardware in processor 502 or by instructions in software form. The processor 502 can be a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Processor 502 can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. A general-purpose processor can be a microprocessor or any conventional processor, etc. The steps of the methods disclosed in the embodiments of this application can be directly reflected in the combined execution of hardware and software modules in a microcontroller. The software module can reside in a storage medium located in memory 501. The processor 502 reads information from memory 501 and, in conjunction with its hardware, completes the steps of the aforementioned method. In an exemplary embodiment, the electronic device 50 can be implemented using one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), complex programmable logic devices (CPLDs), field-programmable gate arrays (FPGAs), general-purpose processors, controllers, microcontrollers (MCUs), microprocessors, or other electronic components to execute the aforementioned method.

[0171] Specifically, embodiments of this application provide a computer-readable storage medium storing a computer program thereon, such as a memory 501 storing the computer program, which can be executed by a processor 502 to complete the aforementioned method steps. The computer-readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, Flash Memory, magnetic surface memory, optical disc, or CD-ROM.

[0172] In addition, each functional unit in the various embodiments of this application can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0173] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0174] Alternatively, if the integrated units described above are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this application, or the parts that contribute to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

[0175] The embodiments of this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method of determining environmental variable data, characterized by, Applied to an accelerated environmental test (AET), comprising: segmenting a preset time period to obtain a plurality of continuous sub-time periods / moments, and determining a time parameter; obtaining initial variable data of a target region in each of the sub-time periods / moments based on the time parameter; the initial variable data includes at least one of initial temperature data, initial humidity data, initial irradiance data, and initial salt mist concentration data; determining environmental variable data in the preset time period based on a preset algorithm and the initial variable data; the preset algorithm includes at least one of an average algorithm, an equivalent algorithm, and a percentile algorithm; the environmental variable data includes at least one of environmental irradiance data, environmental salt mist concentration data, environmental temperature data, and environmental humidity data.

2. The method of claim 1, wherein, The initial variable data includes the initial irradiance data and / or the initial salt mist concentration data; the preset algorithm includes the average algorithm; the environmental variable data includes the environmental irradiance data and / or the environmental salt mist concentration data; and the determining of the environmental variable data in the preset time period based on the preset algorithm and the initial variable data includes: determining the environmental irradiance data based on the average algorithm, the time parameter, and the initial irradiance data; and / or determining the environmental salt mist concentration data based on the average algorithm, the time parameter, and the initial salt mist concentration data.

3. The method of claim 1, wherein, The initial variable data includes the initial temperature data and the initial irradiance data; the preset algorithm includes the equivalent algorithm; the environmental variable data includes the environmental temperature data; and the determining of the environmental variable data in the preset time period based on the preset algorithm and the initial variable data includes: determining a first damage parameter expression of the preset time period according to a preset Arrhenius model, the initial temperature data, the initial irradiance data, and the time parameter; performing equivalent processing on the environmental temperature data in the first damage parameter expression based on the equivalent algorithm to obtain a first equivalent parameter expression of the preset time period; and determining the equivalent environmental temperature data according to the first damage parameter expression and the first equivalent parameter expression.

4. The method of claim 1, wherein, The initial variable data includes the initial temperature data, the initial humidity data, and the initial irradiance data; the preset algorithm includes the equivalent algorithm; the environmental variable data includes the environmental temperature data; and the determining of the environmental variable data in the preset time period based on the preset algorithm and the initial variable data includes: determining a second damage parameter expression of the preset time period according to a preset Eyring model, the initial humidity data, the initial temperature data, the initial irradiance data, and the time parameter; performing equivalent processing on the environmental temperature data in the second damage parameter expression based on the equivalent algorithm to obtain a second equivalent parameter expression of the preset time period; and determining the equivalent environmental temperature data according to the second damage parameter expression and the second equivalent parameter expression.

5. The method of claim 1, wherein, The initial variable data includes the initial temperature data, the initial humidity data and the initial irradiance data; the preset algorithm includes the equivalent algorithm; the environmental variable data includes the environmental temperature data; and the determining of the environmental variable data in the preset time period based on the preset algorithm and the initial variable data includes: determining a third damage parameter expression of the preset time period according to a preset park model, the initial humidity data, the initial temperature data, the initial irradiance data and the time parameter; performing equivalent processing on the environmental temperature data in the third damage parameter expression based on the equivalent algorithm to obtain a third equivalent parameter expression of the preset time period; determining the equivalent environmental temperature data according to the third damage parameter expression and the third equivalent parameter expression.

6. The method of claim 4, wherein, The environmental variable data includes the environmental humidity data; and the determining of the environmental variable data in the preset time period based on the preset algorithm and the initial variable data includes: performing equivalent processing on the environmental humidity data in the second damage parameter expression based on the equivalent algorithm to obtain a fourth equivalent parameter expression of the preset time period; determining the equivalent environmental humidity data according to the second damage parameter expression and the fourth equivalent parameter expression.

7. The method of claim 5, wherein, The environmental variable data includes the environmental humidity data; and the determining of the environmental variable data in the preset time period based on the preset algorithm and the initial variable data includes: performing equivalent processing on the environmental humidity data in the third damage parameter expression based on the equivalent algorithm to obtain a fifth equivalent parameter expression of the preset time period; determining the equivalent environmental humidity data according to the third damage parameter expression and the fifth equivalent parameter expression.

8. The method of claim 1, wherein, The initial variable data includes the initial temperature data, the initial humidity data and the initial irradiance data; the preset algorithm includes the equivalent algorithm; the environmental variable data includes the environmental temperature data; and the determining of the environmental variable data in the preset time period based on the preset algorithm and the initial variable data includes: determining a fourth damage parameter expression of the preset time period according to a preset lawson model, the initial humidity data, the initial temperature data, the initial irradiance data and the time parameter; performing equivalent processing on the environmental temperature data in the fourth damage parameter expression based on the equivalent algorithm to obtain a sixth equivalent parameter expression of the preset time period; determining the equivalent environmental temperature data according to the fourth damage parameter expression and the sixth equivalent parameter expression.

9. The method of claim 8, wherein, The environmental variable data includes the environmental humidity data; and the determining of the environmental variable data in the preset time period based on the preset algorithm and the initial variable data includes: performing equivalent processing on the environmental humidity data in the fourth damage parameter expression based on the equivalent algorithm to obtain a seventh equivalent parameter expression of the preset time period; The environmental humidity data after equivalence is determined according to the fourth damage parameter expression and the seventh equivalent parameter expression.

10. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor implements the method according to any one of claims 1-9 when executing the computer program.

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