A method, system, device and storage medium for estimating product environmental stress

Abstract

The application discloses a product environment stress estimation method, system, device and storage medium, which is applied to the product evaluation technical field and comprises the following steps: receiving environment stress time series data of a measured product at each set detection position collected by a sensor; determining each stress extreme position and an environment stress value of the measured product under a determined working condition; constructing a Kriging model; inputting physical size information of the measured product, coordinate information of each set detection position, environment stress time series data, coordinate information of each stress extreme position and the environment stress value into the Kriging model and performing interpolation through grid division to obtain each environment stress field matrix of the measured product output by the Kriging model in time sequence, and determining an environment stress value of a target position at a target time. According to the scheme, the environment stress at each position of the measured product at each time can be conveniently and effectively estimated, and the accuracy is relatively high.

Description

Technical Field

[0001] This invention relates to the field of product evaluation technology, and in particular to a method, system, device, and storage medium for estimating environmental stress in a product. Background Technology

[0002] Environmental stress is of great significance for product reliability assessment. Specifically, environmental stress can be used as a reliability test condition for product reliability assessment. Furthermore, environmental stress can effectively support real-time status assessment and lifespan prediction of products.

[0003] Currently, environmental stress testing of products typically involves real-time detection using sensors at a single or multiple locations. For example, temperature sensors can be used to detect temperature stress at various designated locations on the product. However, the complexity of the product structure, the enclosed space in which the product is located, and the minute scale of deformation limit the implementation of such testing. Furthermore, sensor measurement technology can only obtain environmental stress at a limited number of designated locations, making it difficult to conveniently obtain environmental stress at various critical parts of the product.

[0004] In summary, how to conveniently and effectively obtain the environmental stress at various locations of a product without being constrained by factors such as product structure and the number of sensors is a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] The purpose of this invention is to provide a method, system, device, and storage medium for estimating environmental stress in a product, so as to conveniently and effectively obtain the environmental stress at various locations of the product without being constrained by factors such as product structure and the number of sensors.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0007] A method for estimating environmental stress in a product, comprising:

[0008] Receives environmental stress time-series data at various set detection locations of the tested product, collected by sensors;

[0009] The working conditions of the product under test are determined, including the stress extreme points under the working conditions and the environmental stress values ​​at each stress extreme point.

[0010] Constructing a Kriging model;

[0011] The physical dimensions of the product under test, the coordinates of each set detection position, the environmental stress time series data at each set detection position, the coordinates of each stress extreme point, and the environmental stress values ​​at each stress extreme point are input into the Kriging model and interpolated by grid division to obtain the environmental stress field matrices of the product under test output by the Kriging model in time series.

[0012] Based on the environmental stress field matrices of the tested product output in a time sequence according to the Kriging model, the environmental stress value at the target location at the target time is determined.

[0013] Preferred options also include:

[0014] The constraint information of the product under test is determined, and the constraint information is used as the input of the Kriging model.

[0015] Preferred options also include:

[0016] The coordinate information and environmental stress value of each specified part of the product under test under the specified working condition are determined and used as input to the Kriging model.

[0017] Preferably, receiving the environmental stress time-series data at various set detection locations of the tested product collected by the sensor includes:

[0018] Receive environmental stress time-series data at N set detection locations of the tested product collected by N sensors, where N is a positive integer not less than 2.

[0019] Preferably, the environmental stress of the product is the product temperature stress or the product vibration stress.

[0020] Preferably, the operating conditions of the tested product include:

[0021] The first operating condition indicates that the product under test is in a set ambient temperature environment; the second operating condition indicates that the product under test is in a temperature cycling environment; the third operating condition indicates that the product under test is in a set humidity environment; and the fourth operating condition indicates that the product under test is in a set vibration environment.

[0022] Preferably, based on the environmental stress field matrices of the tested product output in a time series according to the Kriging model, the environmental stress value at the target location at the target time is determined, including:

[0023] Based on the environmental stress field matrices of the tested product output in time sequence according to the Kriging model, the environmental stress field matrix corresponding to the target time is selected from each environmental stress field matrix.

[0024] According to the target location, the environmental stress value is selected from the selected environmental stress field matrix and used as the environmental stress value of the target location at the target time.

[0025] Preferably, when estimating product temperature stress, the construction of the kriging model includes:

[0026] Kriging models are constructed based on Gaussian and exponential models;

[0027] Accordingly, the environmental stress field matrix output by the Kriging model is the temperature stress field matrix, and the temperature stress field matrix M is expressed as: M = α·M gauss +(1-α)M exp α is a preset weighting factor, M gauss M is the temperature field matrix based on the Gaussian model. exp This is the temperature field matrix based on the exponential model.

[0028] A system for estimating environmental stress in a product, comprising:

[0029] The sensor data receiving module is used to receive environmental stress time-series data at various set detection locations of the tested product collected by the sensor.

[0030] The supplementary data determination module is used to determine the working conditions of the tested product, the stress extreme points under the working conditions, and the environmental stress values ​​at each stress extreme point.

[0031] The model building module is used to build kriging models;

[0032] The interpolation output module is used to input the physical size information of the product under test, the coordinate information of each set detection position, the environmental stress time series data at each set detection position, the coordinate information of each stress extreme point, and the environmental stress value at each stress extreme point into the Kriging model and interpolate through grid division to obtain the environmental stress field matrix of the product under test output by the Kriging model in time series.

[0033] The target environmental stress determination module is used to determine the environmental stress value at the target location at the target time based on the environmental stress field matrices of the tested product output in a time sequence according to the Kriging model.

[0034] Preferably, the supplementary data determination module is further configured to:

[0035] The constraint information of the product under test is determined, and the constraint information is used as the input of the Kriging model.

[0036] Preferably, the supplementary data determination module is further configured to:

[0037] The coordinate information and environmental stress value of each specified part of the product under test under the specified working condition are determined and used as input to the Kriging model.

[0038] Preferably, the operating conditions of the tested product include:

[0039] The first operating condition indicates that the product under test is in a set ambient temperature environment; the second operating condition indicates that the product under test is in a temperature cycling environment; the third operating condition indicates that the product under test is in a set humidity environment; and the fourth operating condition indicates that the product under test is in a set vibration environment.

[0040] Preferably, when estimating product temperature stress, the model building module is specifically used for:

[0041] Kriging models are constructed based on Gaussian and exponential models;

[0042] Accordingly, the environmental stress field matrix output by the Kriging model is the temperature stress field matrix, and the temperature stress field matrix M is expressed as: M = α·M gauss +(1-α)M exp α is a preset weighting factor, M gauss M is the temperature field matrix based on the Gaussian model. exp This is the temperature field matrix based on the exponential model.

[0043] An apparatus for estimating environmental stress in a product, comprising:

[0044] Memory, used to store computer programs;

[0045] A processor for executing the computer program to implement the steps of the product environmental stress estimation method as described above.

[0046] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the product environmental stress estimation method as described above.

[0047] By applying the technical solution provided in the embodiments of the present invention, considering that environmental stress can be collected by sensors and interpolated based on the Kriging model, the environmental stress at any location of the tested product can be obtained. Thus, the solution of this application is not restricted by factors such as product structure and the number of sensors, and can conveniently and effectively obtain the environmental stress at various locations of the product.

[0048] Specifically, this application receives environmental stress time-series data at various designated detection locations of the product under test, collected by sensors. After constructing a Kriging model, interpolation can be performed through grid division. Since the input is environmental stress time-series data at various designated detection locations, the environmental stress field matrices of the product under test, output by the Kriging model in time sequence, can be obtained. In other words, the output environmental stress field matrices reflect the environmental stress data of the product under test at different times. Therefore, based on the environmental stress field matrices of the product under test output by the Kriging model in time sequence, the environmental stress value at the target location at the target time can be determined, which means that the environmental stress at various locations of the product at various times can be obtained conveniently and effectively.

[0049] Furthermore, the solution of this application also determines the working conditions of the tested product, the environmental stress values ​​of each stress extreme value under the working conditions, together with the physical size information of the tested product and the coordinate information of each stress extreme value location, and inputs them into the Kriging model, so that the environmental stress field matrix obtained after interpolation is more accurate, that is, effectively improves the estimation accuracy of the solution of this application.

[0050] In summary, the solution proposed in this application can conveniently and effectively estimate the environmental stress at various locations of the tested product at various times, with high accuracy. Attached Figure Description

[0051] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0052] Figure 1 This is a flowchart illustrating the implementation of a method for estimating environmental stress in a product according to the present invention.

[0053] Figure 2 This is a schematic diagram of the structure of a product environmental stress estimation system according to the present invention;

[0054] Figure 3 This is a schematic diagram of the structure of a product environmental stress estimation device according to the present invention. Detailed Implementation

[0055] The core of this invention is to provide a method for estimating the environmental stress of a product, which can conveniently and effectively estimate the environmental stress at various locations of the tested product at various times, with high accuracy.

[0056] To enable those skilled in the art to better understand the present invention, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are merely some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0057] Please refer to Figure 1 , Figure 1 This is a flowchart illustrating an implementation method for estimating environmental stress in a product according to the present invention. The method may include the following steps:

[0058] Step S101: Receive environmental stress time sequence data at each set detection position of the product under test collected by the sensor.

[0059] Specifically, the number and location of the detection positions can be selected as needed. Of course, these detection positions must be locations that the sensors can detect, meaning that the space allows for the arrangement of sensors to detect environmental stress at these detection positions.

[0060] The number of detection locations can be one or more, that is, the number of sensors can be one or more. Of course, in practical applications, in order to ensure the accuracy of the estimation of product environmental stress, multiple sensors are usually set.

[0061] For example, in one specific embodiment of the present invention, step S101 may specifically include:

[0062] The system receives environmental stress time-series data at N predetermined detection locations on the product under test, collected by N sensors. In this embodiment, N sensors are used to detect environmental stress at N predetermined detection locations, where N is a positive integer not less than 2.

[0063] It should also be noted that if only data at a specified time at any location on the product under test is needed, then only the environmental stress at each set detection location at that time needs to be collected by the sensor. However, in order to obtain data at any time at any location on the product under test, each sensor needs to work continuously, that is, what is collected by the sensor is the time series data of the environmental stress at each set detection location.

[0064] For example, in a scenario where five sensors are set up at five different detection locations, and each of these five sensors is set to detect temperature data once per second for a total of 200 seconds, then when executing step S101, in this example, any one of these five sensors can collect a set of environmental stress time-series data including 200 temperature values.

[0065] The specific type of environmental stress of a product can be set as needed. In practical applications, the temperature and vibration of the product are usually of greater concern, as the temperature and vibration of the product have a significant impact on the product's performance and lifespan. Therefore, in a specific embodiment of the present invention, the environmental stress of the product can usually be the product temperature stress or the product vibration stress.

[0066] Taking product environmental stress specifically as product temperature stress as an example, then the sensors used in step S101 are temperature sensors, and the environmental stress collected by each sensor is the temperature value at the corresponding detection location, or temperature stress value. Correspondingly, the environmental stress time series data at this time is the temperature stress time series data. For example, in the above example, a set of temperature stress time series data includes 200 temperature values, which represent the temperature change at a certain detection location over 200 seconds.

[0067] Of course, in other specific embodiments, in addition to temperature and vibration, the environmental stress of the product can be other types of environmental stress, such as electrical stress. The appropriate type can be selected according to actual needs and does not affect the implementation of the present invention.

[0068] Step S102: Determine the working conditions of the product under test, the stress extreme points under the working conditions, and the environmental stress values ​​at each stress extreme point.

[0069] Under different working conditions, the environmental stress at different locations of the product may be different. Therefore, this application needs to determine the working conditions of the product under test. That is, when the environmental stress value of the target location of the product under test is obtained at the target time, the staff can clearly determine what kind of product working conditions the result corresponds to.

[0070] Of course, in practical applications, several typical operating conditions during the actual operation of the product can be set, and the scheme of this application can be executed for different operating conditions. That is, the product is controlled under the required operating conditions to execute the scheme of this application and obtain the environmental stress estimation results under the corresponding product operating conditions.

[0071] In one specific embodiment of the present invention, the operating conditions of the product under test may specifically include:

[0072] The first operating condition indicates that the product under test is in a set ambient temperature environment; the second operating condition indicates that the product under test is in a temperature cycling environment; the third operating condition indicates that the product under test is in a set humidity environment; and the fourth operating condition indicates that the product under test is in a set vibration environment.

[0073] In this embodiment, four typical operating conditions during the actual operation of the product are given, referred to as the first operating condition, the second operating condition, the third operating condition, and the fourth operating condition, respectively. In other embodiments, more types of operating conditions can be set as needed.

[0074] In this embodiment, the first operating condition refers to the product under test being in a set ambient temperature. For example, if the set ambient temperature is 35°C, then the product under test needs to be placed in an environment of 35°C. At this time, the operating condition of the product under test will be determined as the first operating condition, and the specific set ambient temperature is 35°C.

[0075] The second operating condition refers to the product under test being in a temperature-cyclical environment. For example, in one scenario, the ambient temperature is set to cycle between 20°C and 30°C, with each temperature maintained for 3 minutes. Of course, in other scenarios, more temperatures can be cycled, and the duration of each ambient temperature can be adjusted as needed without affecting the implementation of this invention.

[0076] The third operating condition refers to the product under test being in a set humidity environment. For example, if the set ambient humidity is fixed at 50%, then the product under test needs to be placed in a 50% humidity environment. At this time, the operating condition of the product under test will be determined as the third operating condition, and the specific set humidity is 50%.

[0077] The fourth operating condition indicates that the tested product is in a set vibration environment. It can be understood that in the first and second operating conditions, the product's temperature stress is usually estimated, while in the fourth operating condition, the product's vibration stress is usually estimated.

[0078] In the third operating condition, product temperature stress or vibration stress can be estimated. If product temperature stress is estimated in the third operating condition, the ambient temperature can be set to a specified temperature or set to normal temperature. If product vibration stress is estimated, a specified vibration environment or a normal non-vibration environment can be set. You can select the appropriate option as needed.

[0079] In this application, it is necessary to determine the stress extreme points of the tested product under current operating conditions, as well as the environmental stress values ​​at each stress extreme point, in order to obtain more accurate estimation results. The environmental stress values ​​at each stress extreme point are equivalent to supplementing the environmental stress time series data at each set detection location obtained in step S101, enriching the input of the Kriging model.

[0080] It should be noted that after identifying the stress extreme points, it is necessary to obtain the environmental stress values ​​of these stress extreme points. These environmental stress values ​​can be obtained through theoretical analysis, experiments, or testing. Furthermore, it should be noted that, unlike the environmental stress time-series data obtained in step S101, considering that the environmental stress at the extreme point usually does not change significantly over time after the tested product has been operating stably, the environmental stress values ​​of each stress extreme point obtained in step S102 are all fixed values ​​and do not need to change over time.

[0081] Step S103: Construct the Kriging model.

[0082] In practical applications, the Model function can be used to input the environmental stress time series data at each set detection location detected by the sensor, and select appropriate configuration information to construct a Kriging model.

[0083] After constructing the Kriging model, subsequent interpolation of the Kriging model can be used to predict environmental stress. That is, by using the known environmental stress at each set detection location, the environmental stress at other locations can be estimated.

[0084] In one specific embodiment of the present invention, when estimating the temperature stress of a product, constructing a Kriging model may specifically include:

[0085] Kriging models are constructed based on Gaussian and exponential models;

[0086] Correspondingly, the environmental stress field matrix output by the Kriging model is the temperature stress field matrix, and the temperature stress field matrix M is expressed as: M = α·M gauss +(1-α)M exp ;,

[0087] This implementation takes into account that, for temperature-environment stress fields, when there are many components on the tested product and the stress field is complex, the original Kriging model generally does not provide a good fit. Therefore, this implementation proposes a hybrid Kriging interpolation model, that is, a Kriging model constructed based on Gaussian and exponential models, which can be expressed as M = α·M gauss +(1-α)M exp .

[0088] M gauss The temperature field matrix is ​​based on a Gaussian model, which can better fit the temperature diffusion. M expThe temperature field matrix based on the exponential model is more suitable for fitting local temperature characteristics. Therefore, this implementation method is beneficial for combining the advantages of the Gaussian model and the exponential model. α is a preset weighting factor; a larger value indicates a larger temperature radiation range. The specific value can be set and adjusted according to the actual situation.

[0089] Step S104: Input the physical dimensions of the product under test, the coordinates of each set detection position, the time series data of environmental stress at each set detection position, the coordinates of each stress extreme point, and the environmental stress values ​​at each stress extreme point into the Kriging model and interpolate through grid division to obtain the environmental stress field matrices of the product under test output by the Kriging model in time series.

[0090] In the preceding steps, the stress extreme value locations of the tested product were determined. At this point, the coordinate information of each stress extreme value location, i.e., the coordinate information of each stress extreme value location on the tested product, needs to be used as input to the Kriging model. Simultaneously, the environmental stress values ​​of each stress extreme value location, the physical dimension information of the tested product, the coordinate information of each set detection position, and the environmental stress time series data at each set detection position determined in step S101 also need to be used as input to the Kriging model.

[0091] When performing interpolation based on the Kriging model, interpolation is performed through grid division. That is, the physical dimensions of the product under test are abstracted into various grids. The environmental stress time series data at the detection location and the environmental stress values ​​at each stress extreme point are equivalent to the grid of known data. Through the relationship between the grids, interpolation can be performed based on the Kriging model to obtain the environmental stress of the remaining unknown grids.

[0092] When the physical dimensions of the product under test are abstracted into individual grids, the meshgrid function can typically be used for segmentation. For example, in a specific scenario where the product under test has a planar structure, it can be abstracted into an m*n planar grid, and then the meshgrid function can be used to segment the plane into grids of appropriate resolution. Here, m and n are positive integers, and their specific values ​​are affected by the physical dimensions of the product under test and the size of each individual grid.

[0093] If the physical dimensions of the product under test, the coordinates of each set detection position, the environmental stress at each set detection position at a certain moment, the coordinates of each stress extreme point, and the environmental stress value at each stress extreme point are input into the Kriging model, the Kriging model will output an environmental stress field matrix corresponding to the product under test at that moment. Since the environmental stress time series data at each set detection position is input, the Kriging model can output each environmental stress field matrix of the product under test in time series. That is, the number of output environmental stress field matrices is the same as the sequence length of the environmental stress time series data detected by the sensor.

[0094] In one specific embodiment of the present invention, it may further include:

[0095] The constraint information of the product under test is determined and used as the input of the Kriging model.

[0096] In this implementation, constraint information of the tested product is added to the input of the Kriging model. For example, the constraint information may specify that the tested product is fixed with screws at a certain location. Different constraint information of the tested product will affect the environmental stress at certain locations of the tested product. Therefore, in this implementation, using constraint information as input to the Kriging model is beneficial for obtaining more accurate estimation results.

[0097] In one specific embodiment of the present invention, it may further include:

[0098] The coordinate information and environmental stress value of each specified part of the tested product under working conditions are determined and used as input for the Kriging model.

[0099] In the aforementioned embodiments, for each set detection position, the environmental stress at these detection positions is directly detected by the sensor, and in order to improve the accuracy of the estimation results, the environmental stress values ​​at each stress extreme point are used as a supplement to the input quantity.

[0100] This implementation further considers that, ideally, a certain number of "designated detection locations" or "stress extreme value locations" should be distributed across different areas of the product under test to ensure the accuracy of the estimation results. That is, when estimating the environmental stress at an unknown location using the environmental stress at a known location, the distance between the known and unknown locations should not be too great. Therefore, if some areas of the product under test lack both designated detection locations for direct environmental stress detection by sensors and stress extreme value locations, some points can be proactively added to these areas. These points, along with their corresponding environmental stress values, can be used as input to the Kriging model, thereby effectively improving the accuracy of the estimation results, especially when the target location is located in such areas.

[0101] Therefore, in this implementation, the staff can determine the coordinate information and environmental stress values ​​of each designated part of the product under test under the determined working conditions according to actual needs, and use them as input to the Kriging model. The specific location and number of designated parts can be set by the staff, and as described above, areas where "set detection location" or "stress extreme value location" is not distributed or has a small number of distributions can be selected.

[0102] Similar to determining the environmental stress value at the location of the stress extremum, the environmental stress value for each specified location can be obtained through theoretical analysis, experiments, or tests.

[0103] Step S105: Based on the environmental stress field matrices of the tested product output in time sequence according to the Kriging model, determine the environmental stress value at the target location at the target time.

[0104] As described above, the Kriging model outputs various environmental stress field matrices of the tested product in a time sequence. Different environmental stress field matrices reflect the environmental stress conditions of the tested product at different times. For any single environmental stress field matrix, it reflects the environmental stress conditions at different locations of the tested product at the corresponding time. Therefore, based on the various environmental stress field matrices of the tested product output by the Kriging model in a time sequence, the environmental stress value at the target location at the target time can be effectively determined.

[0105] The target location can be any location of the product being tested, and the target time can be any time. Of course, when performing step S101, the sensor needs to detect the environmental stress at each set detection location at that time and use it as input to the Kriging model.

[0106] In one specific embodiment of the present invention, step S105 may specifically include:

[0107] Based on the Kriging model, the environmental stress field matrices of the tested product are output in time sequence, and the environmental stress field matrix corresponding to the target time is selected from each environmental stress field matrix.

[0108] Based on the target location, the environmental stress value is selected from the selected environmental stress field matrix and used as the environmental stress value at the target location at the target time.

[0109] In this implementation, firstly, based on the target time, the environmental stress field matrix corresponding to the target time can be selected from the various environmental stress field matrices output by the Kriging model in a time sequence. Then, according to the target position, the environmental stress value is selected from the selected environmental stress field matrix as the environmental stress value of the determined target position at the target time.

[0110] In practical applications, a loop structure can typically be used to output the various environmental stress field matrices. For example, in a specific scenario, the array shape output by the Kriging model is set to L*K*T_length, where L and K reflect the length and width of the tested product, respectively. That is, a single environmental stress field matrix is ​​L*K in size, and T_length is the set length of the loop structure, for example, set to 10. When the Kriging model outputs an array shape of L*K*T_length for the first time, the array includes 10 environmental stress field matrices, corresponding to the environmental stress field matrices from the initial time (called time 1) to time 10. When the Kriging model outputs an array shape of L*K*T_length for the second time, the array includes 10 environmental stress field matrices, corresponding to the environmental stress field matrices from time 2 to time 11.

[0111] In practical applications, according to the scheme of this application, the environmental stress value at any location and at any time can be determined, and subsequent work can be carried out accordingly. For example, when the environmental stress is specifically temperature stress, it can be used to monitor whether there are overheated parts. The environmental stress value at a specified location and time can also be used as input to other models, such as input to a life prediction model, to perform life analysis of the product under test.

[0112] By applying the technical solution provided in the embodiments of the present invention, considering that environmental stress can be collected by sensors and interpolated based on the Kriging model, the environmental stress at any location of the tested product can be obtained. Thus, the solution of this application is not restricted by factors such as product structure and the number of sensors, and can conveniently and effectively obtain the environmental stress at various locations of the product.

[0113] Specifically, this application receives environmental stress time-series data at various designated detection locations of the product under test, collected by sensors. After constructing a Kriging model, interpolation can be performed through grid division. Since the input is environmental stress time-series data at various designated detection locations, the environmental stress field matrices of the product under test, output by the Kriging model in time sequence, can be obtained. In other words, the output environmental stress field matrices reflect the environmental stress data of the product under test at different times. Therefore, based on the environmental stress field matrices of the product under test output by the Kriging model in time sequence, the environmental stress value at the target location at the target time can be determined, which means that the environmental stress at various locations of the product at various times can be obtained conveniently and effectively.

[0114] Furthermore, the solution of this application also determines the working conditions of the tested product, the environmental stress values ​​of each stress extreme value under the working conditions, together with the physical size information of the tested product and the coordinate information of each stress extreme value location, and inputs them into the Kriging model, so that the environmental stress field matrix obtained after interpolation is more accurate, that is, effectively improves the estimation accuracy of the solution of this application.

[0115] In summary, the solution proposed in this application can conveniently and effectively estimate the environmental stress at various locations of the tested product at various times, with high accuracy.

[0116] Corresponding to the above method embodiments, this invention also provides a product environmental stress estimation system, which can be referred to in conjunction with the above.

[0117] See Figure 2 The diagram shown is a structural schematic of a product environmental stress estimation system according to the present invention, comprising:

[0118] The sensor data receiving module 201 is used to receive environmental stress time series data at various set detection positions of the tested product collected by the sensor.

[0119] The supplementary data determination module 202 is used to determine the working conditions of the tested product, the stress extreme points under the working conditions, and the environmental stress values ​​of each stress extreme point.

[0120] Model building module 203 is used to build kriging models;

[0121] The interpolation output module 204 is used to input the physical size information of the product under test, the coordinate information of each set detection position, the environmental stress time series data at each set detection position, the coordinate information of each stress extreme point, and the environmental stress value at each stress extreme point into the Kriging model and interpolate through grid division to obtain the environmental stress field matrix of the product under test output by the Kriging model in time series.

[0122] The target environmental stress determination module 205 is used to determine the environmental stress value at the target location at the target time based on the environmental stress field matrices of the tested product output in a time sequence according to the Kriging model.

[0123] In one specific embodiment of the present invention, the supplementary data determination module 202 is further configured to:

[0124] The constraint information of the product under test is determined and used as the input of the Kriging model.

[0125] In one specific embodiment of the present invention, the supplementary data determination module 202 is further configured to:

[0126] The coordinate information and environmental stress value of each specified part of the tested product under working conditions are determined and used as input for the Kriging model.

[0127] In one specific embodiment of the present invention, the sensor data receiving module 201 is specifically used for:

[0128] Receive environmental stress time-series data at N set detection locations of the tested product collected by N sensors, where N is a positive integer not less than 2.

[0129] In one specific embodiment of the present invention, the environmental stress of the product is either the product temperature stress or the product vibration stress.

[0130] In one specific embodiment of the present invention, the operating conditions of the tested product include:

[0131] The first operating condition indicates that the product under test is in a set ambient temperature environment; the second operating condition indicates that the product under test is in a temperature cycling environment; the third operating condition indicates that the product under test is in a set humidity environment; and the fourth operating condition indicates that the product under test is in a set vibration environment.

[0132] In one specific embodiment of the present invention, the target environmental stress determination module 205 is specifically used for:

[0133] Based on the Kriging model, the environmental stress field matrices of the tested product are output in time sequence, and the environmental stress field matrix corresponding to the target time is selected from each environmental stress field matrix.

[0134] Based on the target location, the environmental stress value is selected from the selected environmental stress field matrix and used as the environmental stress value at the target location at the target time.

[0135] In one specific embodiment of the present invention, when estimating the product temperature stress, the model building module 203 is specifically used for:

[0136] Kriging models are constructed based on Gaussian and exponential models;

[0137] Correspondingly, the environmental stress field matrix output by the Kriging model is the temperature stress field matrix, and the temperature stress field matrix M is expressed as: M = α·M gauss +(1-α)M exp α is a preset weighting factor, M gauss M is the temperature field matrix based on the Gaussian model. exp This is the temperature field matrix based on the exponential model.

[0138] Corresponding to the above methods and system embodiments, this invention also provides a device for estimating environmental stress of a product and a computer-readable storage medium, which can be referred to in conjunction with the above.

[0139] See also Figure 3 The equipment for estimating the environmental stress of this product may include:

[0140] Memory 301 is used to store computer programs;

[0141] Processor 302 is configured to execute a computer program to implement the steps of the product environmental stress estimation method as described in any of the above embodiments.

[0142] The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the product environmental stress estimation method as described in any of the above embodiments. The computer-readable storage medium referred to herein includes random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disks, removable disks, CD-ROMs, or any other form of storage medium known in the art.

[0143] It should also be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0144] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0145] This article uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the technical solutions and core ideas of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made to the present invention without departing from the principles of the present invention, and these improvements and modifications also fall within the protection scope of the present invention.

Claims

1. A method for estimating environmental stress in a product, characterized in that, include: Receives environmental stress time-series data at various set detection locations of the tested product, collected by sensors; Determine the working conditions of the product under test, the stress extreme points at each stress extreme point, and the environmental stress value at each stress extreme point. Constructing a Kriging model; The physical dimensions of the product under test, the coordinates of each set detection position, the environmental stress time series data at each set detection position, the coordinates of each stress extreme point, and the environmental stress values ​​at each stress extreme point are input into the Kriging model and interpolated by grid division to obtain the environmental stress field matrices of the product under test output by the Kriging model in time series. Based on the environmental stress field matrices of the tested product output in time sequence according to the Kriging model, the environmental stress value at the target location at the target time is determined. Based on the environmental stress field matrices of the tested product output in a time-series manner from the Kriging model, the environmental stress value at the target location at the target time is determined, including: Based on the environmental stress field matrices of the tested product output in time sequence according to the Kriging model, the environmental stress field matrix corresponding to the target time is selected from each environmental stress field matrix. According to the target location, an environmental stress value is selected from the selected environmental stress field matrix, which is used as the environmental stress value of the target location at the target time. When estimating product temperature stress, the construction of the kriging model includes: Kriging models are constructed based on Gaussian and exponential models; Accordingly, the environmental stress field matrix output by the Kriging model is the temperature stress field matrix, and the temperature stress field matrix M is expressed as: M = α·M gauss +(1-α)M exp α is a preset weighting factor, M gauss M is the temperature field matrix based on the Gaussian model. exp This is the temperature field matrix based on the exponential model.

2. The method for estimating environmental stress of a product according to claim 1, characterized in that, Also includes: The constraint information of the product under test is determined, and the constraint information is used as the input of the Kriging model.

3. The method for estimating environmental stress of a product according to claim 1, characterized in that, Also includes: The coordinate information and environmental stress value of each specified part of the product under test under the working conditions are determined and used as input to the Kriging model.

4. The method for estimating environmental stress of a product according to claim 1, characterized in that, The receiving of environmental stress time-series data at various set detection locations of the tested product, collected by the sensor, includes: Receive environmental stress time-series data at N set detection locations of the tested product collected by N sensors, where N is a positive integer not less than 2.

5. The method for estimating environmental stress of a product according to claim 1, characterized in that, The environmental stress of a product can be either temperature stress or vibration stress.

6. The method for estimating environmental stress of a product according to claim 1, characterized in that, The operating conditions of the tested product include: The first operating condition indicates that the product under test is in a set ambient temperature environment; the second operating condition indicates that the product under test is in a temperature cycling environment; the third operating condition indicates that the product under test is in a set humidity environment; and the fourth operating condition indicates that the product under test is in a set vibration environment.

7. A system for estimating environmental stress in a product, characterized in that, include: The sensor data receiving module is used to receive environmental stress time-series data at various set detection locations of the tested product collected by the sensor. The supplementary data determination module is used to determine the working conditions of the tested product, the stress extreme points of each stress extreme point under the working conditions of the tested product, and the environmental stress value of each stress extreme point. The model building module is used to build kriging models; The interpolation output module is used to input the physical size information of the product under test, the coordinate information of each set detection position, the environmental stress time series data at each set detection position, the coordinate information of each stress extreme point, and the environmental stress value at each stress extreme point into the Kriging model and interpolate through grid division to obtain the environmental stress field matrix of the product under test output by the Kriging model in time series. The target environmental stress determination module is used to determine the environmental stress value at the target location at the target time based on the environmental stress field matrices of the tested product output in time sequence by the Kriging model. The target environment stress determination module is specifically used for: Based on the Kriging model, the environmental stress field matrices of the tested product are output in time sequence, and the environmental stress field matrix corresponding to the target time is selected from each environmental stress field matrix. Based on the target location, the environmental stress value is selected from the selected environmental stress field matrix and used as the environmental stress value at the target location at the target time. When estimating product temperature stress, the model building module is specifically used for: Kriging models are constructed based on Gaussian and exponential models; Accordingly, the environmental stress field matrix output by the Kriging model is the temperature stress field matrix, and the temperature stress field matrix M is expressed as: M = α·M gauss +(1-α)M exp α is a preset weighting factor, M gauss M is the temperature field matrix based on the Gaussian model. exp This is the temperature field matrix based on the exponential model.

8. The product environmental stress estimation system according to claim 7, characterized in that, The supplementary data determination module is also used for: The constraint information of the product under test is determined, and the constraint information is used as the input of the Kriging model.

9. The product environmental stress estimation system according to claim 7, characterized in that, The supplementary data determination module is also used for: The coordinate information and environmental stress value of each specified part of the product under test under the working conditions are determined and used as input to the Kriging model.

10. The product environmental stress estimation system according to claim 7, characterized in that, The operating conditions of the tested product include: The first operating condition indicates that the product under test is in a set ambient temperature environment; the second operating condition indicates that the product under test is in a temperature cycling environment; the third operating condition indicates that the product under test is in a set humidity environment; and the fourth operating condition indicates that the product under test is in a set vibration environment.

11. A device for estimating environmental stress in a product, characterized in that, include: Memory, used to store computer programs; A processor for executing the computer program to implement the steps of the product environmental stress estimation method as described in any one of claims 1 to 6.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the product environmental stress estimation method as described in any one of claims 1 to 6.

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