Material life determination method, device, computer equipment and storage medium

Abstract

The present application relates to a material life determination method, device, computer equipment and storage medium. The method is applied to 5G antenna polymer materials, including obtaining aging test times corresponding to multiple key features of the target material obtained by performing aging tests on multiple groups of target materials under different environmental parameters belonging to the same environmental stress; determining the sensitive features of the target material from multiple key features based on the aging test times corresponding to the multiple key features of the target material; using the aging test time corresponding to the sensitive features under each set of environmental parameters as the material life of the target material, and obtaining the material life corresponding to each environmental parameter; inputting each environmental parameter and the material life corresponding to each environmental parameter into the life acceleration model corresponding to the environmental stress, and obtaining the corresponding relationship between the material life and the environmental stress. This method can be used to evaluate the life of 5G antenna polymer materials in actual use environments.

Description

Technical Field

[0001] The present application relates to the field of 5G antenna technology, and in particular to a material life determination method, apparatus, computer equipment, storage medium, and computer program product. Background Art

[0002] With the rapid development of the 5G communications industry, full-screen, multi-functional components and large-capacity battery technologies have emerged. These technologies will compress the space of mobile phones, making the space available for 5G antennas smaller and smaller, and the reliability requirements for 5G antenna polymer materials are also getting higher and higher.

[0003] Traditional polymer materials are subject to various environmental stresses during use, such as temperature, humidity, tension, and pressure, which affect their lifespan. Conventional technologies primarily focus on reliability testing to assess polymer lifespan, targeting failures caused by mechanical fatigue, wear, voltage breakdown, and insulation breakdown.

[0004] However, to meet the high-frequency and high-speed requirements of 5G communications, 5G antenna polymer materials have different application ranges and higher performance than traditional polymer materials. For example, 5G antennas support faster data transmission speeds than 4G antennas. Therefore, traditional technologies are no longer able to meet the high-performance requirements of 5G antenna polymer materials, and a new material lifespan assessment method for 5G antenna polymer materials is needed. Summary of the Invention

[0005] Based on this, it is necessary to provide a material life determination method, device, computer equipment, computer-readable storage medium and computer program product that can be applied to 5G antenna polymer materials to address the above technical problems.

[0006] In a first aspect, the present application provides a method for determining material lifetime, which is applied to 5G antenna polymer materials, and the method comprises:

[0007] Obtaining aging test times corresponding to multiple key features of the target materials obtained by performing aging tests on multiple groups of target materials under different environmental parameters belonging to the same environmental stress;

[0008] Determining sensitive features of the target material from the multiple key features based on aging test times corresponding to the multiple key features of the target material;

[0009] The aging test time corresponding to the sensitive characteristics under each set of environmental parameters is used as the material life of the target material, and the material life corresponding to each environmental parameter is obtained;

[0010] Each environmental parameter and the material life corresponding to each environmental parameter are input into the life acceleration model corresponding to the environmental stress to obtain the corresponding relationship between the material life and the environmental stress; the corresponding relationship is used to determine the material life of the target material under the target environmental parameters.

[0011] In one embodiment, the method further includes: obtaining target environmental parameters of the target material, substituting the target environmental parameters into the corresponding relationship, and obtaining the material life of the target material under the target environmental parameters.

[0012] In one embodiment, aging test times corresponding to multiple key features of the target material are obtained by performing aging tests on multiple groups of target materials under different environmental parameters belonging to the same environmental stress, including: instructing the multiple groups of target materials to be placed in different test environments to implement aging tests on the target materials, wherein the different test environments correspond to different environmental parameters belonging to the same environmental stress; obtaining the time period during which the characteristic values ​​of each key feature of the target material reach their corresponding critical values ​​during the aging test, wherein different key features of the target material have different critical values; using the time period during which the characteristic values ​​of each key feature of the target material reach their corresponding critical values ​​as the aging test time of each key feature; and determining the sensitive feature of the target material from the multiple key features based on the aging test times corresponding to the multiple key features of the target material, including: determining the key feature corresponding to the minimum aging test time among the aging test times corresponding to the multiple key features of the target material as the sensitive feature of the target material.

[0013] In one embodiment, the time period during which the characteristic value of each key feature of the target material reaches the corresponding critical value is used as the aging test time of each key feature, including: when one of the key features of the target material is the electromagnetic wave transmittance coefficient, the time period during which the characteristic value of the electromagnetic wave transmittance coefficient of the target material decreases to a first critical value during the aging test is determined as the aging test time of the electromagnetic wave transmittance coefficient; when one of the key features of the target material is the dielectric constant, the time period during which the characteristic value of the dielectric constant of the target material increases to a second critical value during the aging test is determined as the aging test time of the dielectric constant; when one of the key features of the target material is the dielectric constant, the time period during which the characteristic value of the dielectric constant of the target material increases to a second critical value during the aging test is determined as the aging test time of the dielectric constant; When one of the key characteristics of the target material is dielectric loss, the time period during which the characteristic value of the dielectric loss of the target material increases to the third critical value during the aging test is determined as the aging test time for the dielectric loss; when one of the key characteristics of the target material is the thermal expansion coefficient, the time period during which the characteristic value of the thermal expansion coefficient of the target material increases to the fourth critical value during the aging test is determined as the aging test time for the thermal expansion coefficient; when one of the key characteristics of the target material is electrical conductivity, the time period during which the characteristic value of the electrical conductivity of the target material decreases to the fifth critical value during the aging test is determined as the aging test time for the electrical conductivity.

[0014] In one embodiment, the corresponding relationship includes a first functional relationship, and each environmental parameter and the material life corresponding to each environmental parameter are input into a life acceleration model corresponding to the environmental stress to obtain the corresponding relationship between the material life and the environmental stress, including: when the environmental stress is temperature, at least three groups of environmental parameters and the material life corresponding to each environmental parameter are input into the first life acceleration model, and the first life acceleration model is a function of the material life with respect to temperature; by transforming the first life acceleration model, a fitting linear equation of the material life with respect to temperature is obtained; at least three groups of environmental parameters and the material life corresponding to each environmental parameter are substituted into the fitting linear equation to obtain the first functional relationship between the material life and the environmental stress.

[0015] In one embodiment, the corresponding relationship includes a second functional relationship, and each environmental parameter and the material life corresponding to each environmental parameter are input into a life acceleration model corresponding to the environmental stress to obtain the corresponding relationship between the material life and the environmental stress, including: when the environmental stress is temperature and humidity, at least four groups of environmental parameters and the material life corresponding to each environmental parameter are input into the second life acceleration model, and the second life acceleration model is a function of the material life with respect to temperature and humidity; by transforming the second life acceleration model, a fitting plane equation of the material life with respect to temperature and humidity is obtained; at least four groups of environmental parameters and the material life corresponding to each environmental parameter are substituted into the fitting plane equation to obtain the second functional relationship between the material life and the environmental stress.

[0016] In one embodiment, the form of the 5G antenna polymer material includes at least one of polymer resin, rubber, film and foam, and the use of the 5G antenna polymer material includes making a 5G antenna vibrator or a 5G antenna cover. The critical value of the same key feature of 5G antenna polymer materials with different forms and different uses is different.

[0017] In a second aspect, the present application also provides a device for determining material lifespan. The device is applied to 5G antenna polymer materials and includes:

[0018] an acquisition module, configured to acquire aging test times corresponding to a plurality of key features of the target materials obtained by performing aging tests on a plurality of groups of target materials under different environmental parameters belonging to the same environmental stress;

[0019] a determination module, configured to determine a sensitive feature of the target material from the plurality of key features based on aging test times respectively corresponding to the plurality of key features of the target material;

[0020] The determination module is further used to use the aging test time corresponding to the sensitive characteristics under each set of environmental parameters as the material life of the target material, and obtain the material life corresponding to each environmental parameter;

[0021] The determination module is also used to input various environmental parameters and the material life corresponding to each environmental parameter into the life acceleration model corresponding to the environmental stress to obtain the corresponding relationship between the material life and the environmental stress; the corresponding relationship is used to determine the material life of the target material under the target environmental parameters.

[0022] In a third aspect, the present application further provides a computer device. The computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are performed:

[0023] Obtaining aging test times corresponding to multiple key features of the target materials obtained by performing aging tests on multiple groups of target materials under different environmental parameters belonging to the same environmental stress;

[0024] Determining sensitive features of the target material from the multiple key features based on aging test times corresponding to the multiple key features of the target material;

[0025] The aging test time corresponding to the sensitive characteristics under each set of environmental parameters is used as the material life of the target material, and the material life corresponding to each environmental parameter is obtained;

[0026] Each environmental parameter and the material life corresponding to each environmental parameter are input into the life acceleration model corresponding to the environmental stress to obtain the corresponding relationship between the material life and the environmental stress; the corresponding relationship is used to determine the material life of the target material under the target environmental parameters.

[0027] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the following steps:

[0028] Obtaining aging test times corresponding to multiple key features of the target materials obtained by performing aging tests on multiple groups of target materials under different environmental parameters belonging to the same environmental stress;

[0029] Determining sensitive features of the target material from the multiple key features based on aging test times corresponding to the multiple key features of the target material;

[0030] The aging test time corresponding to the sensitive characteristics under each set of environmental parameters is used as the material life of the target material, and the material life corresponding to each environmental parameter is obtained;

[0031] Each environmental parameter and the material life corresponding to each environmental parameter are input into the life acceleration model corresponding to the environmental stress to obtain the corresponding relationship between the material life and the environmental stress; the corresponding relationship is used to determine the material life of the target material under the target environmental parameters.

[0032] In a fifth aspect, the present application further provides a computer program product. The computer program product includes a computer program that, when executed by a processor, implements the following steps:

[0033] Obtaining aging test times corresponding to multiple key features of the target materials obtained by performing aging tests on multiple groups of target materials under different environmental parameters belonging to the same environmental stress;

[0034] Determining sensitive features of the target material from the multiple key features based on aging test times corresponding to the multiple key features of the target material;

[0035] The aging test time corresponding to the sensitive characteristics under each set of environmental parameters is used as the material life of the target material, and the material life corresponding to each environmental parameter is obtained;

[0036] Each environmental parameter and the material life corresponding to each environmental parameter are input into the life acceleration model corresponding to the environmental stress to obtain the corresponding relationship between the material life and the environmental stress; the corresponding relationship is used to determine the material life of the target material under the target environmental parameters.

[0037] The above-mentioned material life determination method, device, computer equipment, storage medium and computer program product are applied to 5G antenna polymer materials. By obtaining the aging test time corresponding to multiple key features of the target material by performing aging tests on multiple groups of target materials under different environmental parameters belonging to the same environmental stress, and determining the sensitive characteristics of the target material from multiple key features based on the aging time corresponding to the multiple key features of the target material, the aging test time corresponding to the sensitive characteristics under each set of environmental parameters is used as the material life of the target material, and the material life corresponding to each environmental parameter is obtained. Each environmental parameter and the material life corresponding to each environmental parameter are input into the life acceleration model corresponding to the environmental stress to obtain the corresponding relationship between the material life and the environmental stress. The corresponding relationship is used to determine the material life of the target material under the target environmental parameters, which can achieve the purpose of evaluating the life of 5G antenna polymer materials under actual use environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 A diagram showing an application environment of a method for determining material life in one embodiment;

[0039] Figure 2 1 is a flow chart of a method for determining material life in one embodiment;

[0040] Figure 3 A schematic diagram of a flow chart for obtaining aging test time steps corresponding to multiple key features of a target material in one embodiment;

[0041] Figure 4 is a structural block diagram of a device for determining material life in one embodiment;

[0042] Figure 5 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0044] The material life determination method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown, terminal 102 communicates with server 104 via a network. The data storage system can store data that server 104 needs to process. The data storage system can be integrated with server 104 or placed on a cloud or other network server. Terminal 102 can independently execute the material life determination method provided in the embodiment of the present application, or terminal 102 and server 104 can collaboratively execute the material life determination method provided in the embodiment of the present application.

[0045] When the terminal 102 executes the material life determination method alone, the terminal 102 obtains the aging test times corresponding to multiple key features of the target material obtained by performing aging tests on multiple groups of target materials under different environmental parameters belonging to the same environmental stress; based on the aging test times corresponding to the multiple key features of the target material, the sensitive features of the target material are determined from the multiple key features; the aging test time corresponding to the sensitive features under each set of environmental parameters is used as the material life of the target material, and the material life corresponding to each environmental parameter is obtained; each environmental parameter and the material life corresponding to each environmental parameter are input into the life acceleration model corresponding to the environmental stress to obtain the corresponding relationship between the material life and the environmental stress; the corresponding relationship is used to determine the material life of the target material under the target environmental parameters.

[0046] When the terminal 102 and the server 104 collaboratively execute the material life determination method, the terminal 102 obtains aging test times corresponding to multiple key features of the target material, obtained by performing aging tests on multiple groups of target materials under different environmental parameters belonging to the same environmental stress, and transmits the aging test times corresponding to the multiple key features of the target material to the server 104. The server 104 determines the sensitive features of the target material from the multiple key features based on the aging test times corresponding to the multiple key features of the target material; uses the aging test time corresponding to the sensitive features under each set of environmental parameters as the material life of the target material, thereby obtaining the material life corresponding to each environmental parameter; inputs each environmental parameter and the material life corresponding to each environmental parameter into a life acceleration model corresponding to the environmental stress to obtain a corresponding relationship between the material life and the environmental stress; and uses the corresponding relationship to determine the material life of the target material under the target environmental parameters.

[0047] Terminal 102 may include, but is not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices may include smart speakers, smart TVs, smart air conditioners, and smart car devices. Portable wearable devices may include smart watches, smart bracelets, and head-mounted devices. Server 104 may be implemented as a standalone server or a server cluster consisting of multiple servers.

[0048] In one embodiment, Figure 2 As shown, a material life determination method is provided, which is applied to 5G antenna polymer materials. The method can be executed by the terminal or the server alone, or by the terminal and the server in collaboration. Figure 1 The following steps are used as an example to illustrate the terminal in the figure:

[0049] Step 202 : Obtaining aging test times corresponding to multiple key features of the target materials obtained by performing aging tests on multiple groups of target materials under different environmental parameters belonging to the same environmental stress.

[0050] The target material is the 5G antenna polymer material whose lifespan is being tested. 5G antenna polymer materials are wave-transmitting materials, made from a substance with a single-path transmittance exceeding 70% for electromagnetic waves in the 1-1000 mm wavelength range. These multifunctional materials possess excellent structural, heat-resistant, and wave-transmitting properties, ensuring the proper functioning of aerospace vehicles during flight. Since 5G antenna polymer materials come in various forms and applications, they can be categorized by form to include at least one of polymer resin, polymer resin, rubber, film, and foam. They can also be categorized by application to include 5G antenna elements or 5G antenna covers.

[0051] Environmental stresses include environmental conditions such as temperature, humidity, constant tension, constant pressure, alternating stress, vibration, impact, anions, light, ozone, corrosive gases, water, chemicals and microorganisms. Environmental parameters are specific values ​​of environmental stresses. For example, if environmental stress is temperature, different environmental parameters belonging to the same environmental stress can be 30°C, 50°C and 80°C. Aging test, also known as accelerated aging test, is to place the target material under different environmental stresses under laboratory conditions (usually higher than the environmental stress conditions of the target material in actual use), simulating the state of the target material to change with the test time until the target material fails (or is called degradation), that is, the target material is in an unusable state. The aging test time is the time period between the start of the test and the failure of the target material during the aging test of the target material. The failure time of the target material is the time when each key feature of the target material reaches the corresponding critical value. The critical value of the same key feature of 5G antenna polymer materials with different forms and uses is different. The critical values ​​of different key features can be the same or different. The critical value is pre-set according to the test requirements, and the embodiments of the present application are not limited to this.

[0052] The key characteristics of the target material include at least two of the following: electromagnetic wave transmission coefficient, dielectric constant, dielectric loss, thermal expansion coefficient, electrical conductivity, shear strength, insulation resistance, withstand voltage, tensile strength, compressive strength, flexural strength, and impact strength. The electromagnetic wave transmission coefficient, dielectric constant, dielectric loss, thermal expansion coefficient, and electrical conductivity are closely related to the target material's application environment (usually a high-frequency and high-speed environment), while shear strength, insulation resistance, withstand voltage, tensile strength, compressive strength, flexural strength, and impact strength are all related to the target material's mechanical properties.

[0053] Specifically, the terminal obtains aging test times corresponding to multiple key features of the target material. The aging test times corresponding to multiple key features of the target material are obtained by performing aging tests on multiple groups of target materials under different environmental parameters belonging to the same environmental stress.

[0054] Step 204 : determining sensitive features of the target material from the multiple key features based on the aging test times respectively corresponding to the multiple key features of the target material.

[0055] Among them, the sensitive characteristics of the target material refer to the key characteristics that have a more prominent impact on the failure effect of the target material.

[0056] Specifically, the terminal determines the key feature corresponding to the minimum aging test time among the aging test times corresponding to multiple key features of the target material as the sensitive feature of the target material.

[0057] In step 206 , the aging test time corresponding to the sensitive characteristic under each set of environmental parameters is used as the material life of the target material to obtain the material life corresponding to each environmental parameter.

[0058] The material life of the target material is the period of time during which the target material is in an effective state under various environmental parameters belonging to the same environmental stress.

[0059] Specifically, the terminal uses the aging test time corresponding to the sensitive characteristics under each set of environmental parameters as the material life of the target material, and obtains the material life corresponding to each environmental parameter.

[0060] In step 208, each environmental parameter and the material life corresponding to each environmental parameter are input into a life acceleration model corresponding to the environmental stress to obtain a corresponding relationship between the material life and the environmental stress; the corresponding relationship is used to determine the material life of the target material under the target environmental parameters.

[0061] The accelerated life model, also known as the accelerated life model (ALM), is a mathematical model used to establish a correspondence between material life and environmental stress. These models include the temperature-accelerated life model, the thermal cycle-accelerated life model, the temperature-humidity-accelerated life model, the electrical stress-accelerated life model, and the vibration-stress-accelerated life model.

[0062] The target environmental parameters are environmental parameters of the actual use environment of the target material, and belong to the environmental stresses to which the various environmental parameters belong during the aging test on multiple groups of target materials. For example, during the aging test on multiple groups of target materials, the environmental stress to which the various environmental parameters belong is temperature. Different environmental parameters belonging to the same environmental stress are 30°C, 50°C, and 80°C. The temperature of the actual use environment of the target material is 35°C, and the target environmental parameter is 35°C.

[0063] Because the environmental stress associated with the target environmental parameters is consistent with the environmental stress associated with each environmental parameter during aging tests on multiple sets of target materials, the corresponding relationship between the target material's material life and environmental stress under the target environmental parameters is consistent with the corresponding relationship between the target material's life and environmental stress under different environmental parameters with the same environmental stress during aging tests. Therefore, the corresponding relationship between the material life and environmental stress obtained from aging tests on multiple sets of target materials can be used to determine the target material's material life under the target environmental parameters.

[0064] Specifically, the terminal inputs each environmental parameter and the material life corresponding to each environmental parameter into the life acceleration model corresponding to the environmental stress to obtain the corresponding relationship between the material life and the environmental stress; the corresponding relationship between the material life and the environmental stress is used to determine the material life of the target material under the target environmental parameters.

[0065] The above-mentioned material life determination method is applied to 5G antenna polymer materials. By obtaining the aging test time corresponding to multiple key characteristics of the target material by performing aging tests on multiple groups of target materials under different environmental parameters belonging to the same environmental stress, the sensitive characteristics of the target material are determined from multiple key characteristics based on the aging time corresponding to the multiple key characteristics of the target material. The aging test time corresponding to the sensitive characteristics under each set of environmental parameters is used as the material life of the target material to obtain the material life corresponding to each environmental parameter. Each environmental parameter and the material life corresponding to each environmental parameter are input into the life acceleration model corresponding to the environmental stress to obtain the corresponding relationship between the material life and the environmental stress. The corresponding relationship is used to determine the material life of the target material under the target environmental parameters, which can achieve the purpose of evaluating the life of 5G antenna polymer materials under actual use environment.

[0066] In one embodiment, the material life determination method further includes obtaining target environmental parameters of the target material, substituting the target environmental parameters into the corresponding relationship, and obtaining the material life of the target material under the target environmental parameters.

[0067] Specifically, the terminal obtains target environmental parameters of the target material, substitutes the target environmental parameters into the corresponding relationship between the material life and the environmental stress, and obtains the material life of the target material under the target environmental parameters.

[0068] In this embodiment, by obtaining the target environmental parameters of the target material and substituting the target environmental parameters of the target material into the corresponding relationship between material life and environmental stress, the purpose of determining the material life of the target material under the target environmental parameters can be achieved, thereby adapting to the requirements of 5G antenna products, avoiding under-design and premature field failure, and improving product quality.

[0069] In one embodiment, Figure 3 As shown, the aging test times corresponding to multiple key features of the target materials are obtained by performing aging tests on multiple groups of target materials under different environmental parameters belonging to the same environmental stress, including:

[0070] Step 302 instructs placing multiple groups of target materials in different test environments to implement aging tests on the target materials, wherein different test environments correspond to different environmental parameters belonging to the same environmental stress.

[0071] Specifically, the terminal instructs at least three groups of target materials to be placed in different test environments respectively, and each group of target materials includes at least three target materials, so as to realize aging testing of multiple target materials, wherein the different test environments are test environments with at least one different environmental stress among multiple environmental stresses.

[0072] For example, three groups of target materials are placed in test environments with the same other environmental stresses (including humidity, constant tension, constant pressure, alternating stress, vibration, impact, anions, light, ozone, corrosive gas, water, chemicals and microorganisms) but different temperatures. The first group of target materials is placed in a test environment with a temperature of 30°C, the second group of target materials is placed in a test environment with a temperature of 50°C, and the third group of target materials is placed in a test environment with a temperature of 80°C.

[0073] Step 304 : obtaining the time period during which the characteristic values ​​of the key characteristics of the target material reach their corresponding critical values ​​during the aging test, wherein different key characteristics of the target material have different critical values.

[0074] The eigenvalue is the specific numerical value of the key characteristic. For example, if the key characteristic is the electromagnetic wave transmission coefficient, the eigenvalue is 0.2. The critical value of the key characteristic can be a preset ratio of the initial eigenvalue of the key characteristic. The preset ratio can be 10% to 200%. If the preset ratio is less than 100%, a decrease in the eigenvalue of the key characteristic will cause the target material to fail. If the preset ratio is greater than 100%, an increase in the eigenvalue of the key characteristic will cause the target material to fail. Different key characteristics of the target material have different critical values.

[0075] Specifically, for each key feature of each target material, the terminal obtains the time period during which the characteristic value of the key feature of the target material reaches the candidate ratios of at least three key features during the aging test; based on the time period during which the characteristic value of the key feature of the target material reaches the candidate ratios of at least three key features, the time period during which the characteristic value of the key feature of the target material reaches the corresponding critical value during the aging test is obtained.

[0076] The candidate ratio is the ratio of the key feature's eigenvalue to its initial eigenvalue during the aging test, i.e., the rate of change of the key feature. There must be at least three candidate ratios. A larger number of candidate ratios results in a more accurate estimate of the time period during which the terminal's key feature's eigenvalue reaches the corresponding critical value.

[0077] In step 306 , the time period during which the characteristic value of each key characteristic of the target material reaches its corresponding critical value is used as the aging test time of each key characteristic.

[0078] Specifically, the terminal uses the time period during which the characteristic values ​​of each key characteristic of the target material reach their corresponding critical values ​​as the aging test time of each key characteristic.

[0079] In this embodiment, by instructing to place multiple groups of target materials in different test environments respectively, aging tests are performed on the target materials, and the time periods during which the characteristic values ​​of each key characteristic of the target material reach their corresponding critical values ​​during the aging test are obtained. This time period is used as the aging test time for each key characteristic, which can achieve the purpose of determining the aging test times corresponding to multiple key characteristics of the target material when aging tests are performed on multiple groups of target materials under different environmental parameters belonging to the same environmental stress.

[0080] In one embodiment, based on the time period during which the characteristic value of the key feature of the target material reaches the candidate ratio of at least three key features, the time period during which the characteristic value of the key feature of the target material reaches the corresponding critical value during the aging test is obtained. When the critical value of the key feature is greater than 100%, the candidate ratios of at least three key features increase in sequence and are all less than the critical value corresponding to the key feature; when the critical value of the key feature is less than 100%, the candidate ratios of at least three different key features decrease in sequence and are all greater than the critical value of the key feature. The method includes: establishing a rectangular coordinate system with time as the horizontal axis and the rate of change of the key feature as the vertical axis, obtaining at least three points in the rectangular coordinate system based on the candidate ratios of at least three different key features and the time period during which the characteristic value of the key feature of the target material reaches the candidate ratios of at least three different key features; connecting the at least three points into a curve to obtain a curve representing the corresponding relationship between the rate of change of the key feature and time; determining the horizontal coordinate of the point on the curve whose vertical coordinate is the critical value of the key feature, to obtain the time period during which the characteristic value of the key feature of the target material reaches the corresponding critical value during the aging test.

[0081] For example, one of the key characteristics of the target material is dielectric constant, the critical value of the dielectric constant is 150%, the first ratio is 120%, the second ratio is 130%, and the third ratio is 140%. After obtaining the first time period during which the characteristic value of the dielectric constant of the target material reaches 120%, the second time period during which it reaches 130%, and the third time period during which it reaches 140% during the aging test, the terminal establishes a rectangular coordinate system, with time as the horizontal axis, the rate of change of the key feature as the vertical axis, the first time period as the horizontal coordinate of the first point and 120% as the vertical coordinate of the first point, the second time period as the horizontal coordinate of the second point and 130% as the vertical coordinate of the second point, the third time period as the horizontal coordinate of the third point and 140% as the vertical coordinate of the third point, to obtain the first point, the second point and the third point; the first point, the second point and the third point are connected into a curve, which is a curve that characterizes the corresponding relationship between the rate of change of the key feature and time; and the horizontal coordinate of the point on the curve with a vertical coordinate of 150% is determined, which is the time period during which the characteristic value of the dielectric constant of the target material reaches the corresponding critical value during the aging test.

[0082] For example, if one of the key characteristics of the target material is the electromagnetic wave transmittance, the critical value of the electromagnetic wave transmittance is 60%, the first ratio is 90%, the second ratio is 80%, and the third ratio is 70%, the terminal obtains the first time period during which the characteristic value of the electromagnetic wave transmittance of the target material reaches 90%, the second time period during which it reaches 80%, and the third time period during which it reaches 70% during the aging test, and then establishes a rectangular coordinate system with time as the horizontal axis and the rate of change of the key characteristic as the vertical axis. The terminal uses the first time period as the horizontal coordinate of the first point and 90% as the vertical coordinate of the first point, the second time period as the horizontal coordinate of the second point and 80% as the vertical coordinate of the second point, the third time period as the horizontal coordinate of the third point and 70% as the vertical coordinate of the third point, thereby obtaining the first point, the second point, and the third point; connects the first point, the second point, and the third point to form a curve, which is a curve representing the corresponding relationship between the rate of change of the key characteristic and time; and determines the horizontal coordinate of the point on the curve with a vertical coordinate of 60%, which is the time period during which the characteristic value of the electromagnetic wave transmittance of the target material reaches the corresponding critical value during the aging test.

[0083] In this embodiment, a rectangular coordinate system is established with time as the horizontal axis and the rate of change of the key feature as the vertical axis. Based on at least three different candidate ratios of the key feature and the time periods over which the characteristic values ​​of the key feature of the target material reach the at least three different candidate ratios of the key feature, a curve representing the corresponding relationship between the rate of change of the key feature and time is obtained. Based on the curve, the time period over which the characteristic value of the key feature of the target material reaches the corresponding critical value during the aging test is determined. Compared to directly obtaining the time period over which the characteristic value of the key feature of the target material reaches the corresponding critical value during the aging test, this method can shorten the test time and reduce the test cost.

[0084] In one embodiment, based on the time periods that the characteristic values ​​of the key characteristics of the target material respectively reach the candidate ratios of at least three key characteristics, the time period that the characteristic values ​​of the key characteristics of the target material reach the corresponding critical values ​​during the aging test is obtained. When the critical value of the key characteristic is greater than 100%, the candidate ratios of at least three key characteristics increase in sequence, at least one candidate ratio is less than the critical value corresponding to the key characteristic, and at least one candidate ratio is greater than the critical value corresponding to the key characteristic; when the critical value of the key characteristic is less than 100%, the candidate ratios of at least three different key characteristics decrease in sequence, at least one candidate ratio is greater than the critical value corresponding to the key characteristic. The method comprises the following steps: establishing a rectangular coordinate system, taking time as the horizontal axis and the rate of change of the key feature as the vertical axis, obtaining at least three points in the rectangular coordinate system based on at least three different candidate ratios of the key features and time periods during which the characteristic values ​​of the key features of the target material reach the at least three different candidate ratios of the key features; connecting the at least three points into a curve to obtain a curve representing the corresponding relationship between the rate of change of the key feature and time; determining the horizontal coordinate of the point on the curve whose vertical coordinate is the critical value of the key feature, and obtaining the time period during which the characteristic value of the key feature of the target material reaches the corresponding critical value during the aging test.

[0085] For example, one of the key characteristics of the target material is dielectric constant, the critical value of the dielectric constant is 150%, the fourth ratio is 120%, the fifth ratio is 130%, and the sixth ratio is 160%. After obtaining the fourth time period during which the characteristic value of the dielectric constant of the target material reaches 120%, the fifth time period during which it reaches 130%, and the sixth time period during which it reaches 160% during the aging test, the terminal establishes a rectangular coordinate system with time as the horizontal axis, the rate of change of the key feature as the vertical axis, the fourth time period as the horizontal coordinate of the fourth point and 120% as the vertical coordinate of the fourth point, the fifth time period as the horizontal coordinate of the fifth point and 130% as the vertical coordinate of the fifth point, the sixth time period as the horizontal coordinate of the sixth point and 160% as the vertical coordinate of the sixth point, thereby obtaining the fourth point, the fifth point, and the sixth point; connecting the fourth point, the fifth point, and the sixth point into a curve, which is a curve that characterizes the corresponding relationship between the rate of change of the key feature and time; and determining the horizontal coordinate of the point on the curve with a vertical coordinate of 150%, which is the time period during which the characteristic value of the dielectric constant of the target material reaches the corresponding critical value during the aging test.

[0086] For example, if one of the key characteristics of the target material is the electromagnetic wave transmittance, the critical value of the electromagnetic wave transmittance is 60%, the fourth ratio is 90%, the fifth ratio is 80%, and the sixth ratio is 50%, the terminal obtains the fourth time period during which the characteristic value of the electromagnetic wave transmittance of the target material reaches 90%, the fifth time period during which it reaches 80%, and the sixth time period during which it reaches 50% during the aging test, and then establishes a rectangular coordinate system with time as the horizontal axis, the rate of change of the key characteristic as the vertical axis, the fourth time period as the horizontal coordinate of the fourth point, 90% as the vertical coordinate of the fourth point, the fifth time period as the horizontal coordinate of the fifth point, 80% as the vertical coordinate of the fifth point, the sixth time period as the horizontal coordinate of the sixth point, and 50% as the vertical coordinate of the sixth point, thereby obtaining the fourth, fifth, and sixth points; the fourth, fifth, and sixth points are connected to form a curve, which is a curve representing the corresponding relationship between the rate of change of the key characteristic and time; and the horizontal coordinate of the point on the curve with a vertical coordinate of 60% is determined, which is the time period during which the characteristic value of the electromagnetic wave transmittance of the target material reaches the corresponding critical value during the aging test.

[0087] In this embodiment, a rectangular coordinate system is established with time as the horizontal axis and the rate of change of the key feature as the vertical axis. Based on at least three different candidate ratios of the key feature and the time periods over which the characteristic values ​​of the key feature of the target material reach the at least three different candidate ratios of the key feature, a curve is obtained that characterizes the corresponding relationship between the rate of change of the key feature and time. The time period over which the characteristic value of the key feature of the target material reaches the corresponding critical value during the aging test is determined based on the curve. Compared to stopping the aging test when the characteristic value of the key feature of the target material reaches the corresponding critical value, by extending the test time, the characteristic value of the key feature of the target material can be obtained after the characteristic value of the key feature of the target material reaches the corresponding critical value, thereby obtaining a more accurate curve for characterizing the corresponding relationship between the rate of change of the key feature and time, thereby achieving the purpose of improving the accuracy of the time period over which the characteristic value of the key feature of the target material reaches the corresponding critical value during the aging test.

[0088] In one embodiment, based on the aging test times corresponding to the multiple key features of the target material, the sensitive feature of the target material is determined from the multiple key features, including: determining the key feature corresponding to the minimum aging test time among the aging test times corresponding to the multiple key features of the target material as the sensitive feature of the target material.

[0089] Specifically, the terminal compares the aging test times corresponding to multiple key features of the target material, determines the minimum aging test time, and determines that the key feature corresponding to the minimum aging test time is the sensitive feature of the target material.

[0090] For example, one of the key characteristics of the target material is the dielectric constant, and another is the electromagnetic wave transmittance. The critical value of the dielectric constant is 150%, and the critical value of the electromagnetic wave transmittance is 60%. If the dielectric constant reaches its critical value of 150% in 5 days and the electromagnetic wave transmittance reaches its critical value of 60% in 1 day, the target material will fail after 1 day due to the decrease in the electromagnetic wave transmittance, without having to wait until 5 days have passed. Therefore, the electromagnetic wave transmittance is used as the sensitive characteristic of the target material. If the dielectric constant reaches its critical value of 150% in 2 days and the electromagnetic wave transmittance reaches its critical value of 60% in 1 day, the target material will fail after 1 day due to the decrease in the electromagnetic wave transmittance, without having to wait until 2 days due to the increase in the dielectric constant. Therefore, the electromagnetic wave transmittance is still used as the sensitive characteristic of the target material.

[0091] In this embodiment, by taking the key feature corresponding to the minimum aging test time as the sensitive feature of the target material, the purpose of determining the sensitive feature of the target material from multiple key features can be achieved.

[0092] In one embodiment, the time period during which the characteristic value of each key feature of the target material reaches its corresponding critical value is used as the aging test time of each key feature, including: when one of the key features of the target material is the electromagnetic wave transmittance coefficient, the time period during which the characteristic value of the electromagnetic wave transmittance coefficient of the target material decreases to a first critical value during the aging test is determined as the aging test time of the electromagnetic wave transmittance coefficient; when one of the key features of the target material is the dielectric constant, the time period during which the characteristic value of the dielectric constant of the target material increases to a second critical value during the aging test is determined as the aging test time of the dielectric constant; when one of the key features of the target material is the dielectric constant, the time period during which the characteristic value of the dielectric constant of the target material increases to a second critical value during the aging test is determined as the aging test time of the dielectric constant; When one of the key characteristics of the material is dielectric loss, the time period during which the characteristic value of the dielectric loss of the target material increases to the third critical value during the aging test is determined as the aging test time of the dielectric loss; when one of the key characteristics of the target material is the thermal expansion coefficient, the time period during which the characteristic value of the thermal expansion coefficient of the target material increases to the fourth critical value during the aging test is determined as the aging test time of the thermal expansion coefficient; when one of the key characteristics of the target material is conductivity, the time period during which the characteristic value of the conductivity of the target material decreases to the fifth critical value during the aging test is determined as the aging test time of the conductivity.

[0093] The first critical value, the second critical value, the third critical value, the fourth critical value, and the fifth critical value are the critical values ​​corresponding to the electromagnetic wave transmission coefficient, the dielectric constant, the dielectric loss, the thermal expansion coefficient, and the electrical conductivity of the target material, respectively. The first critical value is less than 100%, and the second critical value, the third critical value, the fourth critical value, and the fifth critical value are all greater than 100%.

[0094] The electromagnetic wave transmittance is the ratio of the amount of electromagnetic wave that enters and penetrates the material to the incident electromagnetic wave. The dielectric constant measures the electrical energy storage performance of an insulator. Dielectric loss is the energy dissipated per unit time by a dielectric under the action of an electric field. The thermal expansion coefficient is a physical quantity that measures the thermal expansion of a solid material. Conductivity is a parameter used to describe the ease with which charge flows within a substance.

[0095] 5G antenna polymer materials have different application ranges and performance from traditional polymer materials. 5G antenna materials must meet the requirements of faster signal transmission speeds, requiring the dielectric constant and dielectric loss of the propagation medium material to be small; the antenna vibrator and antenna cover require the corresponding polymer materials to have good electromagnetic wave transmittance, so a very high and stable electromagnetic wave transmittance coefficient as well as low dielectric properties and electrical conductivity are required; due to the thin thickness of 5G components, good sealing and good heat dissipation are required. Accordingly, the thermal stability of 5G antenna polymer materials has a profound impact on material performance, requiring the material to have high thermal stability, so the thermal expansion coefficient must be small.

[0096] Specifically, when one of the key characteristics of the target material is the electromagnetic wave transmittance coefficient, the characteristic value of the electromagnetic wave transmittance coefficient of the target material decreases during the aging test, and the terminal determines the time period during which the characteristic value of the electromagnetic wave transmittance coefficient decreases to a first critical value as the aging test time of the electromagnetic wave transmittance coefficient; when one of the key characteristics of the target material is the dielectric constant, the characteristic value of the dielectric constant of the target material increases during the aging test, and the terminal determines the time period during which the characteristic value of the dielectric constant increases to a second critical value as the aging test time of the dielectric constant; when one of the key characteristics of the target material is dielectric loss, the target material The characteristic value of the dielectric loss increases, and the terminal determines the time period that the characteristic value of the dielectric loss increases to the third critical value as the aging test time of the dielectric loss; when one of the key characteristics of the target material is the thermal expansion coefficient, the characteristic value of the thermal expansion coefficient of the target material increases during the aging test, and the terminal determines the time period that the characteristic value of the thermal expansion coefficient increases to the fourth critical value as the aging test time of the thermal expansion coefficient; when one of the key characteristics of the target material is conductivity, the characteristic value of the conductivity of the target material decreases during the aging test, and the terminal determines the time period that the characteristic value of the conductivity decreases to the fifth critical value as the aging test time of the conductivity.

[0097] In this embodiment, the purpose of determining the aging test time of the electromagnetic wave transmittance coefficient, dielectric constant, dielectric loss, thermal expansion coefficient, and conductivity of the target material can be achieved by measuring the time period during which the characteristic values ​​of the electromagnetic wave transmittance coefficient, dielectric constant, dielectric loss, thermal expansion coefficient, and conductivity of the target material reach their respective corresponding critical values.

[0098] In one embodiment, the corresponding relationship includes a first functional relationship, and each environmental parameter and the material life corresponding to each environmental parameter are input into a life acceleration model corresponding to the environmental stress to obtain the corresponding relationship between the material life and the environmental stress, including: when the environmental stress is temperature, at least three sets of environmental parameters and the material life corresponding to each environmental parameter are input into the first life acceleration model, and the first life acceleration model is a function of the material life with respect to temperature; by transforming the first life acceleration model, a fitting linear equation of the material life with respect to temperature is obtained; at least three sets of environmental parameters and the material life corresponding to each environmental parameter are substituted into the fitting linear equation to obtain the first functional relationship between the material life and the environmental stress.

[0099] The first functional relationship is a linear function of one variable. The first life acceleration model can be an Arrhenius model.

[0100] Specifically, in a test environment where other environmental stresses are the same and only the temperature is different, the terminal inputs at least three groups of different temperature values ​​and the material life corresponding to each temperature value into the first life acceleration model; by performing a logarithmic transformation on the first life acceleration model, a linear function of the logarithm of the material life with respect to the temperature derivative is obtained, and the linear function of the logarithm of the material life with respect to the temperature derivative is assigned a value transformation to obtain a fitting linear equation of the material life with respect to the temperature; at least three groups of different temperature values ​​and the material life corresponding to each temperature value are substituted into the fitting linear equation of the material life with respect to the temperature to obtain a linear function of the material life with respect to the temperature, that is, the first functional relationship between the material life and the temperature.

[0101] The first life acceleration model is taken as an example of the Arrhenius model.

[0102] The formula for the Arrhenius model is:

[0103]

[0104] In formula (1), TTF is the material life; A0 is a set constant, which is determined by the aging test requirements and changes with the change of material life; E aa is the activation energy, in eV; k is the Boltzmann constant, which is 8.62×10-5eV / K; T is the Kelvin temperature, in K.

[0105] Taking the logarithm of both sides of formula (1), we can get the linear function of the logarithm of material life with respect to the temperature derivative:

[0106]

[0107] Let y = ln(TTF), Constant b = A0,

[0108] The fitting straight line equation of material life with respect to temperature is obtained from formula (2):

[0109] v=b+ax (3)

[0110] Formula (3) is a straight line in the x, y two-dimensional coordinate system, that is, the corresponding relationship between the material life of the target material and the temperature is a straight line relationship in the two-dimensional coordinate system with 1 / T as the x-axis (horizontal axis) and ln(TTF) as the y-axis (vertical axis).

[0111] Substituting three or more sets of material life and temperature values ​​into the fitting linear equation, a first functional relationship between the material life and temperature of the target material is obtained.

[0112] In this embodiment, when the environmental stress is temperature, by inputting at least three sets of environmental parameters and the material life corresponding to each environmental parameter into the first life acceleration model, the purpose of obtaining a first functional relationship between material life and environmental stress can be achieved.

[0113] In one embodiment, the corresponding relationship includes a second functional relationship, and each environmental parameter and the material life corresponding to each environmental parameter are input into a life acceleration model corresponding to the environmental stress to obtain the corresponding relationship between the material life and the environmental stress, including: when the environmental stress is temperature and humidity, at least four sets of environmental parameters and the material life corresponding to each environmental parameter are input into the second life acceleration model, and the second life acceleration model is a function of the material life with respect to temperature and humidity; by transforming the second life acceleration model, a fitting plane equation of the material life with respect to temperature and humidity is obtained; at least four sets of environmental parameters and the material life corresponding to each environmental parameter are substituted into the fitting plane equation to obtain the second functional relationship between the material life and the environmental stress.

[0114] The second functional relationship is a binary linear function. The second life acceleration model can be a Peck model.

[0115] Specifically, in a test environment where other environmental stresses are the same and only the temperature and humidity are different, the terminal inputs at least four groups of different temperature and humidity values, and the material life corresponding to each temperature and humidity value, into the second life acceleration model; by performing a logarithmic transformation on the second life acceleration model, a linear function of the material life with respect to temperature and humidity is obtained, and the linear function of the material life with respect to temperature and humidity is assigned a value transformation to obtain a fitting plane equation of the material life with respect to temperature and humidity; at least four groups of different temperature and humidity values, and the material life corresponding to each temperature and humidity value, are substituted into the fitting plane equation of the material life with respect to temperature and humidity to obtain a binary linear function of the material life with respect to temperature and humidity, that is, the second functional relationship between the material life and temperature and humidity.

[0116] The second life acceleration model is taken as the Peck model as an example for explanation.

[0117] The formula for the Peck model is:

[0118]

[0119] In formula (4), TTF is the material life; A0 is a set constant, which is determined by the aging test requirements and changes with the change of material life; E aa is the activation energy in eV; k is the Boltzmann constant, which is 8.62×10-5eV / K; T is the Kelvin temperature in K; RH is the relative humidity in %; n is the Peck relative humidity index.

[0120] Taking the logarithm of both sides of formula (4), we can get the linear function of material life with respect to temperature and humidity:

[0121]

[0122] Let a = ln(TTF), y=ln(RH), then:

[0123] The fitting plane equation of material life with respect to temperature and humidity is obtained from formula (5):

[0124]

[0125] Formula (6) is a plane in the x, y, z three-dimensional coordinate system, that is, the corresponding relationship between the material life of the target material and the temperature and humidity is a plane equation relationship in the three-dimensional coordinate system with 1 / T as the x-axis (horizontal axis), ln(RH) as the y-axis (vertical axis), and ln(TTF) as the z-axis (vertical axis).

[0126] Substitute four or more groups of material lifespans and different temperature and humidity values ​​into the fitting plane equation to obtain a second functional relationship between the material lifespan of the target material and the temperature and humidity.

[0127] In this embodiment, when the environmental stress is temperature and humidity, by inputting at least four sets of environmental parameters and the material life corresponding to each environmental parameter into the second life acceleration model, the purpose of obtaining a second functional relationship between material life and environmental stress can be achieved.

[0128] In one embodiment, a method for determining material lifetime is provided, which is applied to 5G antenna polymer materials and includes the following steps:

[0129] Step 1: Group multiple polymer materials used for 5G antennas and conduct accelerated aging tests on each group of samples (i.e., the target materials mentioned above) under key stress conditions (i.e., different environmental parameters belonging to the same environmental stress mentioned above), such as different temperatures, or different temperatures and different humidities, and consider the changes in key characteristic parameters (i.e., the characteristic values ​​of the key characteristics mentioned above) as a function of time until the key characteristic parameters reach the specified critical value. Specifically:

[0130] 1) Subject each group of samples to different critical stress conditions, and measure the electromagnetic wave transmission coefficient, dielectric constant, dielectric loss, thermal expansion coefficient, and electrical conductivity of the key characteristic parameters of each group after a specified period of time to determine whether these key characteristic parameters have reached a specified critical value (i.e., a set ratio of the initial value, for example, 50% of the initial value, at which point failure refers to a decrease in the key characteristic parameter; for example, 500% of the initial value, at which point failure refers to an increase in the key characteristic parameter).

[0131] 2) Based on preliminary experiments, we have set critical value limits for key characteristic parameters related to 5G antenna polymer materials to meet the standards for practical applications.

[0132] When the electromagnetic wave transmission coefficient decreases to a first critical value, which is approximately 70% of the initial value, it is determined that the 5G antenna polymer material has failed and reached the end of its life;

[0133] Alternatively, when the dielectric constant increases to a second critical value, which is approximately 150% of the initial value, it is determined that the 5G antenna polymer material has failed and reached the end of its life;

[0134] When the dielectric loss increases to the third critical value, which is about 500% of the initial value, it is determined that the 5G antenna polymer material has failed;

[0135] When the thermal expansion coefficient increases to the fourth critical value, which is about 150% of the initial value, it is determined that the 5G antenna polymer material has failed;

[0136] When the conductivity increases to the fifth critical value, which is about 500% of the initial value, it is determined that the 5G antenna polymer material has failed at this time;

[0137] When the shear strength, insulation resistance, withstand voltage, tensile strength, compressive strength, bending strength or impact strength decreases to the sixth critical value, which is approximately 50% of the initial value, it is determined that the 5G antenna polymer material has failed and reached the end of its life.

[0138] 3) Among the time periods during which each key feature parameter reaches its corresponding critical value, the key feature parameter corresponding to the smallest time period (i.e., the most sensitive key feature parameter is selected from the key feature parameters) is used as the target key feature parameter (i.e., the above-mentioned sensitive feature), and the time period (aging time) during which the target key feature parameter decreases / increases to the corresponding critical value is recorded.

[0139] 5G antenna polymer materials differ from traditional polymer materials in their application ranges and performance. 5G's faster transmission speeds require antenna dielectric polymer materials to have low conductivity, dielectric constant, and dielectric loss, as well as high electromagnetic wave transmittance, to minimize signal loss during transmission. 5G components also require thinness and good sealing, requiring timely heat dissipation and a low thermal expansion coefficient for the polymer material. This embodiment first measures a number of key characteristic parameters and selects those most suitable for the application environment of 5G antenna polymer materials as primary parameters. These parameters include electromagnetic wave transmittance, dielectric constant, dielectric loss, thermal expansion coefficient, and conductivity. By testing the degree of degradation of these five key characteristic parameters, the actual service life of the 5G antenna polymer material is determined. In addition, considering that the shear strength, insulation resistance, withstand voltage, tensile strength, compressive strength, flexural strength, and impact strength of traditional polymer materials degrade under aging conditions, here we will select electromagnetic wave transmittance, dielectric constant, dielectric loss, thermal expansion coefficient, conductivity, shear strength, insulation resistance, withstand voltage, tensile strength, compressive strength, flexural strength, and impact strength as the target key characteristic parameters for judging material life based on actual application conditions and aging degree.

[0140] Step 2: Substitute the degradation analysis results measured in step 1 (e.g., multiple temperature groups and the aging time of the target key characteristic parameters of the sample corresponding to each temperature) into the life acceleration model of each key stress type (i.e., the environmental stress mentioned above) to obtain the corresponding relationship between the life of the 5G antenna polymer material and various key stress types.

[0141] Step 3. Preliminary tests have shown that after accelerated aging tests, the degree of change in various key characteristic parameters and the degree of impact on the use of 5G antenna polymer materials vary. Therefore, it is necessary to select the performance that is most sensitive to the actual use of the product to be evaluated for life (hereinafter referred to as the product). Using this as a reference and the actual use environment of the product, the corresponding relationship between life and key stress types obtained in Step 2 is used to calculate the product's service life.

[0142] Furthermore, the key stress types in step 1 include but are not limited to constant tension, constant pressure, alternating stress, vibration, shock, temperature, humidity, anions, light, ozone, corrosive gases, water, chemicals, and microorganisms.

[0143] Furthermore, the key stress in step one can be at least one of the temperature value and the humidity value, that is, except for the temperature and humidity, the other key stress types such as constant tension, constant pressure, alternating stress, vibration, impact, temperature, humidity, anions, light, ozone, corrosive gas, water, chemicals, and microorganisms are all fixed.

[0144] Furthermore, the key characteristic parameters in step one include but are not limited to electromagnetic wave transmittance, dielectric constant, dielectric loss, thermal expansion coefficient, conductivity, shear strength, insulation resistance, withstand voltage, tensile strength, compressive strength, bending strength, and impact strength.

[0145] Furthermore, in step 1, for measuring key characteristic parameters, the number of each group of standard samples is at least 3, and at least 3 groups of standard samples are prepared for each key characteristic parameter to carry out tests at different stress levels.

[0146] Furthermore, in step one, each key performance is measured at least once before the test process, each key characteristic parameter is measured at least three times during the test process, and each key characteristic parameter is measured at least once after the test process, for a total of at least five key characteristic parameters measured and recorded.

[0147] Furthermore, the critical value of the key characteristic parameter in step 1 ranges from 10% to 200% of the initial value of the key characteristic parameter.

[0148] Furthermore, the life acceleration models used in step 2 are the Arrhenius model and the Peck model.

[0149] Furthermore, in step 2, if the only key stress type that changes is temperature, the Arrhenius model is used.

[0150] Furthermore, in step 2, if the key stress types that change include both temperature and humidity, the Peck model is used.

[0151] Furthermore, the selection of target key characteristic parameters in step 1 varies with the different forms and uses of the 5G antenna polymer materials and the changes in the key stress types.

[0152] Furthermore, the actual use environment of the product in step three needs to comprehensively consider the typical value, average value or weighted average value of the key stress within the working time range before the product fails.

[0153] In this embodiment, by testing the degree of degradation of key characteristic parameters under different key stress conditions, the key characteristic parameter corresponding to the minimum aging time among the aging times experienced when the key characteristic parameter reaches the critical value is determined as the target key characteristic parameter of the material, and the aging time corresponding to the target key characteristic parameter is used as the life of the material; the lifespans corresponding to multiple sets of degradation analysis results are input into the life acceleration model corresponding to the key stress type, and the correspondence between the lifespan of the 5G antenna polymer material and various key stress types is obtained, thereby achieving the purpose of determining the material lifespan of the material to be tested under actual ambient temperature, providing a reference basis for the quality and reliability evaluation of the 5G antenna polymer material, and providing a basis for the maintenance and replacement of the 5G antenna polymer material, so that it can be repaired and replaced in time before failure occurs to avoid greater losses.

[0154] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0155] Based on the same inventive concept, embodiments of the present application also provide a material life determination device for implementing the aforementioned material life determination method. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the material life determination device provided below can be found in the aforementioned limitations of the material life determination method and will not be further elaborated here.

[0156] In one embodiment, Figure 4 As shown, a material life determination device 400 is provided, which is applied to 5G antenna polymer materials, including: an acquisition module 402 and a determination module 404, wherein:

[0157] The acquisition module 402 is configured to acquire aging test times corresponding to multiple key features of the target materials obtained by performing aging tests on multiple groups of target materials under different environmental parameters belonging to the same environmental stress.

[0158] The determination module 404 is configured to determine a sensitive feature of the target material from the multiple key features based on the aging test times respectively corresponding to the multiple key features of the target material.

[0159] The determination module 404 is further configured to use the aging test time corresponding to the sensitive feature under each set of environmental parameters as the material life of the target material, and obtain the material life corresponding to each environmental parameter.

[0160] The determination module 404 is also used to input each environmental parameter and the material life corresponding to each environmental parameter into the life acceleration model corresponding to the environmental stress to obtain the corresponding relationship between the material life and the environmental stress; the corresponding relationship is used to determine the material life of the target material under the target environmental parameters.

[0161] In one embodiment, the determination module 404 is further configured to obtain target environmental parameters of the target material, substitute the target environmental parameters into the corresponding relationship, and obtain the material life of the target material under the target environmental parameters.

[0162] In one embodiment, the acquisition module 402 is also used to instruct that multiple groups of target materials be placed in different test environments respectively to implement aging tests on the target materials, wherein different test environments correspond to different environmental parameters belonging to the same environmental stress; obtain the time period during which the characteristic values ​​of each key feature of the target material reach their respective corresponding critical values ​​during the aging test, wherein different key features of the target material have different critical values; the time period during which the characteristic values ​​of each key feature of the target material reach their respective corresponding critical values ​​is used as the aging test time of each key feature; the determination module 404 is also used to determine the key feature corresponding to the minimum aging test time among the aging test times corresponding to multiple key features of the target material as the sensitive feature of the target material.

[0163] In one embodiment, the acquisition module 402 is further used to, when one of the key characteristics of the target material is the electromagnetic wave transmittance, determine the time period during which the characteristic value of the electromagnetic wave transmittance of the target material decreases to a first critical value during the aging test as the aging test time of the electromagnetic wave transmittance; when one of the key characteristics of the target material is the dielectric constant, determine the time period during which the characteristic value of the dielectric constant of the target material increases to a second critical value during the aging test as the aging test time of the dielectric constant; when one of the key characteristics of the target material is the dielectric loss, determine the time period during which the characteristic value of the dielectric loss of the target material increases to a third critical value during the aging test as the aging test time of the dielectric loss; when one of the key characteristics of the target material is the thermal expansion coefficient, determine the time period during which the characteristic value of the thermal expansion coefficient of the target material increases to a fourth critical value during the aging test as the aging test time of the thermal expansion coefficient; when one of the key characteristics of the target material is the electrical conductivity, determine the time period during which the characteristic value of the electrical conductivity of the target material decreases to a fifth critical value during the aging test as the aging test time of the electrical conductivity.

[0164] In one embodiment, the corresponding relationship includes a first functional relationship, and the determination module 404 is further used to input at least three sets of environmental parameters and the material life corresponding to each environmental parameter into a first life acceleration model when the environmental stress is temperature. The first life acceleration model is a function of the material life with respect to temperature; by transforming the first life acceleration model, a fitting linear equation of the material life with respect to temperature is obtained; and at least three sets of environmental parameters and the material life corresponding to each environmental parameter are substituted into the fitting linear equation to obtain a first functional relationship between the material life and the environmental stress.

[0165] In one embodiment, the corresponding relationship includes a second functional relationship, and the determination module 404 is further used to input at least four sets of environmental parameters and the material life corresponding to each environmental parameter into a second life acceleration model when the environmental stress is temperature and humidity. The second life acceleration model is a function of the material life with respect to temperature and humidity; by transforming the second life acceleration model, a fitting plane equation of the material life with respect to temperature and humidity is obtained; at least four sets of environmental parameters and the material life corresponding to each environmental parameter are substituted into the fitting plane equation to obtain a second functional relationship between the material life and the environmental stress.

[0166] In one embodiment, the form of the 5G antenna polymer material includes at least one of polymer resin, rubber, film and foam. The uses of the 5G antenna polymer material include making 5G antenna vibrators or 5G antenna covers. The critical values ​​of the same key characteristics of 5G antenna polymer materials with different forms and different uses are different.

[0167] Each module in the aforementioned material life determination device may be implemented in whole or in part through software, hardware, or a combination thereof. Each module may be embedded in or independent of a processor in a computer device in the form of hardware, or may be stored in a memory in the computer device in the form of software, so that the processor can call and execute the corresponding operations of each module.

[0168] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 5 As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface, the display unit and the input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for determining the life of a material is implemented. The display unit of the computer device is used to form a visually visible image, and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device casing, or an external keyboard, touchpad or mouse, etc.

[0169] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0170] In one embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0171] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0172] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0173] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, and the like.

[0174] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0175] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A method for determining material life, characterized in that: Applied to 5G antenna polymer materials, the method includes: Instructing to place multiple groups of target materials in different test environments respectively to implement aging tests on the target materials, wherein different test environments correspond to different environmental parameters belonging to the same environmental stress; Obtaining the time period during which the characteristic values ​​of the key characteristics of the target material reach their respective corresponding critical values ​​during the aging test, wherein different key characteristics of the target material have different critical values; The time period during which the characteristic values ​​of each key characteristic of the target material reach their corresponding critical values ​​is used as the aging test time of each key characteristic; Determining the sensitive characteristics of the target material from the multiple key characteristics based on aging test times respectively corresponding to the multiple key characteristics of the target material includes: determining the key feature corresponding to the minimum aging test time among the aging test times corresponding to the multiple key features of the target material as the sensitive feature of the target material; Determining a sensitive feature of the target material from the multiple key features based on aging test times respectively corresponding to the multiple key features of the target material; The aging test time corresponding to the sensitive characteristics under each set of environmental parameters is used as the material life of the target material to obtain the material life corresponding to each environmental parameter; In the case where the environmental stress is temperature, at least three sets of environmental parameters and the material life corresponding to each environmental parameter are input into a first life acceleration model, where the first life acceleration model is a function of the material life with respect to temperature; Obtaining a fitted linear equation of material life with respect to temperature by transforming the first accelerated life model; substituting the at least three sets of environmental parameters and the material life corresponding to each environmental parameter into the fitted linear equation to obtain a first functional relationship between material life and environmental stress; In a case where the environmental stress is temperature and humidity, at least four sets of environmental parameters and the material life corresponding to each environmental parameter are input into a second life acceleration model, where the second life acceleration model is a function of the material life with respect to temperature and humidity; By transforming the second life acceleration model, a fitting plane equation of the material life with respect to temperature and humidity is obtained; the at least four sets of environmental parameters and the material life corresponding to each environmental parameter are substituted into the fitting plane equation to obtain a second functional relationship between the material life and the environmental stress; the first functional relationship and the second functional relationship belong to the corresponding relationship between the material life and the environmental stress.

2. The method according to claim 1, characterized in that The method further comprises: The target environmental parameters of the target material are acquired, and the target environmental parameters are substituted into the corresponding relationship to obtain the material life of the target material under the target environmental parameters.

3. The method according to claim 1, characterized in that The time period during which the characteristic values ​​of the key characteristics of the target material reach their respective corresponding critical values ​​is used as the aging test time of each key characteristic, including: When one of the key characteristics of the target material is the electromagnetic wave transmission coefficient, the time period during which the characteristic value of the electromagnetic wave transmission coefficient of the target material decreases to a first critical value during the aging test is determined as the aging test time of the electromagnetic wave transmission coefficient; When one of the key characteristics of the target material is the dielectric constant, the time period during which the characteristic value of the dielectric constant of the target material increases to a second critical value during the aging test is determined as the aging test time of the dielectric constant; When one of the key characteristics of the target material is dielectric loss, the time period during which the characteristic value of the dielectric loss of the target material increases to a third critical value during the aging test is determined as the aging test time for dielectric loss; When one of the key characteristics of the target material is the thermal expansion coefficient, the time period during which the characteristic value of the thermal expansion coefficient of the target material increases to a fourth critical value during the aging test is determined as the aging test time of the thermal expansion coefficient; When one of the key characteristics of the target material is conductivity, the time period during which the characteristic value of the conductivity of the target material decreases to a fifth critical value during the aging test is determined as the aging test time of conductivity.

4. The method according to any one of claims 1 to 3, characterized in that The form of the 5G antenna polymer material includes at least one of polymer resin, rubber, film and foam. The use of the 5G antenna polymer material includes making 5G antenna vibrators or 5G antenna covers. The critical values ​​of the same key characteristics of 5G antenna polymer materials with different forms and different uses are different.

5. A device for determining material life, characterized in that: The device is applied to 5G antenna polymer materials, including: an acquisition module for instructing to place multiple groups of target materials in different test environments respectively to implement aging tests on the target materials, wherein different test environments correspond to different environmental parameters belonging to the same environmental stress; obtaining the time periods during which the characteristic values ​​of each key feature of the target material reach their respective corresponding critical values ​​during the aging test, wherein different key features of the target material have different critical values; using the time periods during which the characteristic values ​​of each key feature of the target material reach their respective corresponding critical values ​​as the aging test time of each key feature; and determining the sensitive feature of the target material from the multiple key features based on the aging test times corresponding to the multiple key features of the target material, including: determining the key feature corresponding to the minimum aging test time among the aging test times corresponding to the multiple key features of the target material as the sensitive feature of the target material; a determination module, configured to determine a sensitive feature of the target material from the multiple key features based on aging test times respectively corresponding to the multiple key features of the target material; The determination module is further configured to use the aging test time corresponding to the sensitive feature under each set of environmental parameters as the material life of the target material, and obtain the material life corresponding to each environmental parameter; The determination module is further configured to, when the environmental stress is temperature, input at least three groups of environmental parameters and the material life corresponding to each environmental parameter into a first life acceleration model, the first life acceleration model being a function of the material life with respect to temperature; obtain a fitted linear equation of the material life with respect to temperature by transforming the first life acceleration model; substitute the at least three groups of environmental parameters and the material life corresponding to each environmental parameter into the fitted linear equation to obtain a first functional relationship between the material life and the environmental stress; when the environmental stress is temperature and humidity, input at least four groups of environmental parameters and the material life corresponding to each environmental parameter into a second life acceleration model, the second life acceleration model being a function of the material life with respect to temperature and humidity; obtain a fitted plane equation of the material life with respect to temperature and humidity by transforming the second life acceleration model; substitute the at least four groups of environmental parameters and the material life corresponding to each environmental parameter into the fitted plane equation to obtain a second functional relationship between the material life and the environmental stress; the first functional relationship and the second functional relationship belong to the corresponding relationship between the material life and the environmental stress.

6. The device according to claim 5, characterized in that The determining module is further configured to: The target environmental parameters of the target material are acquired, and the target environmental parameters are substituted into the corresponding relationship to obtain the material life of the target material under the target environmental parameters.

7. The device according to claim 5, characterized in that The acquisition module is further configured to: When one of the key characteristics of the target material is the electromagnetic wave transmission coefficient, the time period during which the characteristic value of the electromagnetic wave transmission coefficient of the target material decreases to a first critical value during the aging test is determined as the aging test time of the electromagnetic wave transmission coefficient; When one of the key characteristics of the target material is the dielectric constant, the time period during which the characteristic value of the dielectric constant of the target material increases to a second critical value during the aging test is determined as the aging test time of the dielectric constant; When one of the key characteristics of the target material is dielectric loss, the time period during which the characteristic value of the dielectric loss of the target material increases to a third critical value during the aging test is determined as the aging test time for dielectric loss; When one of the key characteristics of the target material is the thermal expansion coefficient, the time period during which the characteristic value of the thermal expansion coefficient of the target material increases to a fourth critical value during the aging test is determined as the aging test time of the thermal expansion coefficient; When one of the key characteristics of the target material is conductivity, the time period during which the characteristic value of the conductivity of the target material decreases to a fifth critical value during the aging test is determined as the aging test time of conductivity.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 4 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

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