High-altitude sensing terminal material aging evaluation method, system, device and medium

Abstract

The present application relates to the technical field of material aging evaluation, and particularly relates to a high-altitude sensing terminal material aging evaluation method, system, device and medium, steps are as follows: extracting meteorological time series data corresponding to a target scene from a preset database; using a dynamic time warping algorithm, generating a time series control instruction based on the meteorological time series data to control an actuator configured by an environment simulation bin; respectively placing various sensing terminals in the environment simulation bin for aging test, and obtaining corresponding material performance degradation data, and constructing a quantitative correlation model corresponding to each sensing terminal based on the environmental parameters and the material performance degradation data; obtaining a material aging evaluation result of a to-be-tested sensing terminal based on the quantitative correlation model. The present application can realize coordinated regulation and control of each environmental parameter in the environment simulation bin on the time axis, thereby improving the authenticity of high-altitude climate feature reproduction and the conformity of the test environment, and improving the credibility of the sensing terminal material life evaluation result.

Description

Technical Field

[0001] This invention relates to the field of material aging assessment technology, and more specifically, to a high-altitude sensing terminal material aging assessment system, equipment, and medium. Background Technology

[0002] In complex natural environments at high altitudes, sensing terminal materials are exposed to the combined effects of strong ultraviolet radiation, low air pressure, drastic temperature fluctuations, and alternating wet and dry conditions for extended periods. Their aging behavior exhibits significant regional specificity and nonlinear evolution characteristics, posing a severe challenge to the long-term reliability of sensor housings, packaging media, and substrate materials of sensitive elements.

[0003] Current aging assessments of sensor terminal materials largely rely on standardized accelerated testing, which typically only intensifies a single or a few environmental factors, such as constant high temperature, fixed ultraviolet intensity, or periodic damp heat cycling. This makes it difficult to reproduce the real environmental spectrum of multi-physical field synergy in high-altitude areas. Although some assessments attempt to introduce multi-stress synergy, their coupling methods are mostly simple superpositions, ignoring the temporal correlation between various environmental factors, which limits the reliability of the assessment results. Summary of the Invention

[0004] The purpose of this invention is to provide a method, system, device and medium for evaluating the aging of materials in high-altitude sensing terminals, so as to solve the technical problems pointed out in the background art.

[0005] This invention is achieved through the following technical solution: a method for evaluating the aging of materials in high-altitude sensing terminals, comprising the following steps: Identify the target scenario and extract the corresponding meteorological time series data from the preset database; Using a dynamic time warping algorithm, time-series control commands are generated based on the meteorological time-series data to control the actuators configured in the environmental simulation chamber, thereby reproducing the environmental parameters corresponding to the target scenario within the environmental simulation chamber. Various types of sensing terminals were placed in the environmental simulation chamber for aging tests, and corresponding material performance degradation data were obtained. Based on the environmental parameters and material performance degradation data, a quantitative correlation model for each type of sensing terminal was constructed. Based on the quantitative correlation model corresponding to the type of sensor terminal under test, the material aging evaluation results of the sensor terminal under test are obtained.

[0006] According to a preferred embodiment, the generation of the timing control instruction specifically includes: Using a dynamic time warping algorithm, meteorological time series data are matched with time series data in a preset instruction library, and the similarity between the data and each preset instruction is calculated. Based on the similarity between each preset instruction and the instruction that best matches the meteorological time series data, the instruction is selected as the time series control instruction.

[0007] According to a preferred embodiment, controlling the actuators configured in the environmental simulation chamber specifically includes: The timing control command is loaded into the control center, and the actuator control command is dynamically generated based on the numerical deviation between the measured values ​​of various environmental parameters in the environmental simulation chamber and the corresponding values ​​of the timing control command. Control of each actuator is performed based on the actuator control instructions.

[0008] According to a preferred embodiment, the measured values ​​of various environmental parameters are obtained by a plurality of sensor arrays deployed in the environmental simulation chamber.

[0009] According to a preferred embodiment, the method further includes: compensating for the measured values ​​of various environmental parameters based on Kalman filter multi-source data fusion.

[0010] According to a preferred embodiment, the types of meteorological time-series data include temperature, humidity, atmospheric pressure, ultraviolet radiation intensity, and wind speed; The actuator includes a temperature control unit, a humidity control unit, an air pressure control unit, an ultraviolet LED array, and a wind speed control unit; The sensor array includes a temperature and humidity sensor, a barometric pressure sensor, an ultraviolet radiation sensor, and an anemometer.

[0011] According to a preferred embodiment, the material property degradation data type is two or more of electrical parameters, optical parameters, or mechanical parameters.

[0012] This invention also provides a high-altitude sensor terminal material aging evaluation system, applied to the above-mentioned high-altitude sensor terminal material aging evaluation method, the system comprising: The data acquisition module is used to determine the target scene and extract the corresponding meteorological time series data from the preset database. The instruction generation module is used to generate timing control instructions based on the meteorological time series data to control the actuators configured in the environmental simulation chamber and reproduce the environmental parameters corresponding to the target scene in the environmental simulation chamber. The test module is used to place various types of sensing terminals in the environmental simulation chamber for aging tests and obtain corresponding material performance degradation data. Based on the environmental parameters and material performance degradation data, a quantitative correlation model corresponding to various types of sensing terminals is constructed. The output module is used to obtain the material aging evaluation results of the sensor terminal under test based on the quantitative correlation model corresponding to the type of sensor terminal under test.

[0013] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-described method for evaluating the aging of materials for high-altitude sensing terminals.

[0014] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-described method for evaluating the aging of materials in high-altitude sensing terminals.

[0015] The technical solution of the high-altitude sensor terminal material aging evaluation method, system, equipment and medium provided by the present invention has at least the following advantages and beneficial effects: it can effectively align the phase deviation and nonlinear time deformation caused by climate fluctuations, realize the coordinated control of various environmental parameters in the environmental simulation chamber on the time axis, and thus improve the realism of high-altitude climate characteristic reproduction and the conformity of the test environment; at the same time, it can realize the quantitative evaluation of the aging process of different sensor terminal materials, and improve the credibility of the life evaluation results of sensor terminal materials in actual high-altitude service environment. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the overall process of the high-altitude sensing terminal material aging evaluation method provided in Embodiment 1 of the present invention; Figure 2 This is a structural block diagram of the high-altitude sensing terminal material aging evaluation system provided in Embodiment 2 of the present invention. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0018] Example 1 This invention provides a method for evaluating the aging of materials in high-altitude sensing terminals. Figure 1 This is a schematic diagram of the overall process of the evaluation method, as shown below. Figure 1 As shown, this evaluation method includes the following steps: Step S101, Data Acquisition Step; In this embodiment, the target scenario to be evaluated is first determined. The target scenario is defined by a specific geographical location and a corresponding time period, such as a specific month interval in a certain year at a specific high-altitude location. After determining the target scenario, meteorological time-series data of the geographical location in the corresponding time period is extracted from a preset database. The meteorological time-series data includes environmental parameters such as temperature, humidity, atmospheric pressure, ultraviolet radiation intensity, and wind speed that are continuously recorded in the time period, which are used as the meteorological data basis for reproducing the real natural climate inside the environmental simulation chamber.

[0019] Step S102, Control command generation step; In this embodiment, timing control commands are generated based on the extracted meteorological time-series data to control the actuators configured in the environmental simulation chamber, thereby reproducing the environmental parameters corresponding to the target scenario within the environmental simulation chamber.

[0020] It should be noted that, since the sampling interval or time phase of historical meteorological monitoring data may be inconsistent with the control cycle of the environmental simulation chamber actuator, directly loading the data can easily lead to control misalignment. To solve this problem, this embodiment adopts a dynamic time warping algorithm to match the acquired meteorological time series data with the time series data in the preset instruction library, and calculate the similarity between the meteorological time series data and each preset instruction. After calculating the similarity, the instruction that best matches the meteorological time series data is selected based on the similarity between the data and each preset instruction, thereby obtaining a time-series control instruction that matches the evolution of the target scene over time.

[0021] Step S103, Aging Test Procedure; In this embodiment, the generated timing control commands are used to perform closed-loop control on the actuators configured in the environment simulation chamber, thereby reproducing the environmental parameters corresponding to the target scene inside the environment simulation chamber.

[0022] Specifically, by loading timing control commands to the control center, temperature and humidity sensors, air pressure sensors, ultraviolet irradiance sensors, and anemometers deployed inside the environmental simulation chamber measure the actual parameter values ​​inside the chamber in real time. Furthermore, the actual measured values ​​are compared with the given values ​​of the timing control commands, and the numerical deviation is calculated. Based on this numerical deviation, the outputs of actuators such as the temperature control unit, humidity control unit, air pressure control unit, ultraviolet LED array, and wind speed control unit are dynamically adjusted to achieve synchronous regulation of temperature, humidity, air pressure, ultraviolet radiation, and wind speed inside the environmental simulation chamber.

[0023] The temperature control unit consists of a semiconductor temperature control module, a cooling fan, and a heat exchanger, thereby controlling the temperature inside the environmental simulation chamber. The humidity control unit consists of an ultrasonic atomizing humidifier and a gas purging channel, thereby controlling the humidity inside the environmental simulation chamber. The air pressure control unit consists of a vacuum pump group and a gas injection device. The vacuum pump group is used to reduce the air pressure inside the environmental simulation chamber to simulate a high-altitude, low-pressure environment, while the gas injection device is used to inject dry air or nitrogen into the environmental simulation chamber to precisely control the air pressure. The ultraviolet LED array adjusts the driving current through pulse width modulation technology to regulate the irradiance intensity. The wind speed control unit is used to control the wind speed inside the environmental simulation chamber, which will not be elaborated on here.

[0024] In parameter feedback adjustment, the Kalman filter algorithm can also be used to perform data fusion and compensation on the measured data of the sensor array to eliminate signal noise interference and ensure the stability of the environment reproduction in the environmental simulation chamber.

[0025] Furthermore, various sensor terminals are placed inside the aforementioned environmental simulation chamber for accelerated aging tests, and material performance degradation data of the sensor terminals during the aging process are obtained; the material performance degradation data includes two or more of electrical parameters, optical parameters, and mechanical parameters.

[0026] After acquiring material performance degradation data, based on the measured environmental parameters in the environmental simulation chamber and the collected material performance degradation data, quantitative correlation models corresponding to different types of sensing terminals are constructed using multivariate nonlinear regression analysis or support vector regression algorithms, thereby establishing a quantitative relationship between environmental stress and material degradation rate.

[0027] Step S104, Evaluation Output Steps; In this embodiment, when it is necessary to evaluate the service life of a specific type of sensor terminal under test in a target high-altitude scenario, this embodiment determines the type of the sensor terminal under test and calls the corresponding quantitative correlation model.

[0028] Furthermore, the design operating years and corresponding meteorological parameters under the target scenario are substituted into the quantitative correlation model for calculation, and finally the predicted value of material performance degradation, remaining service life or reliability assessment curve of the sensor terminal under test under the target high-altitude scenario are output to realize aging evaluation.

[0029] In summary, the high-altitude sensor terminal material aging evaluation method provided in this embodiment can effectively align the phase deviation and nonlinear time deformation caused by climate fluctuations, and achieve coordinated control of various environmental parameters in the environmental simulation chamber on the time axis, thereby improving the realism of high-altitude climate characteristic reproduction and the conformity of the test environment; at the same time, it can realize the quantitative evaluation of the aging process of different sensor terminal materials, and improve the credibility of the life evaluation results of sensor terminal materials in actual high-altitude service environment.

[0030] Example 2 This embodiment, based on the technical solution provided in Embodiment 1, provides a high-altitude sensor terminal material aging evaluation system. This system applies the high-altitude sensor terminal material aging evaluation method described in Embodiment 1. Figure 2 As shown, the system includes: The data acquisition module is used to determine the target scene and extract the corresponding meteorological time series data from the preset database. The instruction generation module is used to generate timing control instructions based on the meteorological time series data to control the actuators configured in the environmental simulation chamber and reproduce the environmental parameters corresponding to the target scene in the environmental simulation chamber. The test module is used to place various types of sensing terminals in the environmental simulation chamber for aging tests and obtain corresponding material performance degradation data. Based on the environmental parameters and material performance degradation data, a quantitative correlation model corresponding to various types of sensing terminals is constructed. The output module is used to obtain the material aging evaluation results of the sensor terminal under test based on the quantitative correlation model corresponding to the type of sensor terminal under test.

[0031] The functions of each module of the high-altitude sensor terminal material aging evaluation system in this embodiment are the same as those in the embodiment of the high-altitude sensor terminal material aging evaluation method, and the technical effects are the same, so they will not be repeated here.

[0032] Example 3 This embodiment is based on the technical solution provided in Embodiment 1, and provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the high-altitude sensing terminal material aging evaluation method as described in Embodiment 1.

[0033] The electronic device provided in this embodiment has the same function and technical effect as the computer program running on the processor as the embodiment of the high-altitude sensor terminal material aging evaluation method, and will not be repeated here.

[0034] Example 4 This embodiment is based on the technical solution provided in Embodiment 1, and provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, it implements the high-altitude sensing terminal material aging evaluation method as described in Embodiment 1.

[0035] The computer-readable storage medium provided in this embodiment, when the computer program is executed by the processor, has the same function and technical effect as the embodiment of the method for evaluating the aging of materials for high-altitude sensing terminals, and will not be repeated here.

[0036] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for evaluating the aging of materials in high-altitude sensing terminals, characterized in that, Includes the following steps: Identify the target scenario and extract the corresponding meteorological time series data from the preset database; Using a dynamic time warping algorithm, time-series control commands are generated based on the meteorological time-series data to control the actuators configured in the environmental simulation chamber, thereby reproducing the environmental parameters corresponding to the target scenario within the environmental simulation chamber. Various types of sensing terminals were placed in the environmental simulation chamber for aging tests, and corresponding material performance degradation data were obtained. Based on the environmental parameters and material performance degradation data, a quantitative correlation model for each type of sensing terminal was constructed. Based on the quantitative correlation model corresponding to the type of sensor terminal under test, the material aging evaluation results of the sensor terminal under test are obtained.

2. The method for evaluating the aging of high-altitude sensor terminal materials as described in claim 1, characterized in that, The generation of the timing control instructions specifically includes: Using a dynamic time warping algorithm, meteorological time series data are matched with time series data in a preset instruction library, and the similarity between the data and each preset instruction is calculated. Based on the similarity between each preset instruction and the instruction that best matches the meteorological time series data, the instruction is selected as the time series control instruction.

3. The method for evaluating the aging of high-altitude sensor terminal materials as described in claim 2, characterized in that, Controlling the actuators configured in the environmental simulation chamber, specifically including: The timing control command is loaded into the control center, and the actuator control command is dynamically generated based on the numerical deviation between the measured values ​​of various environmental parameters in the environmental simulation chamber and the corresponding values ​​of the timing control command. Control of each actuator is performed based on the actuator control instructions.

4. The method for evaluating the aging of high-altitude sensor terminal materials as described in claim 3, characterized in that, The measured values ​​of various environmental parameters are obtained by several sensor arrays deployed in the environmental simulation chamber.

5. The method for evaluating the aging of high-altitude sensor terminal materials as described in claim 4, characterized in that, The method also includes: compensating for measured values ​​of various environmental parameters based on Kalman filter multi-source data fusion.

6. The method for evaluating the aging of high-altitude sensor terminal materials as described in claim 4, characterized in that, The types of meteorological time-series data include temperature, humidity, atmospheric pressure, ultraviolet radiation intensity, and wind speed; The actuator includes a temperature control unit, a humidity control unit, an air pressure control unit, an ultraviolet LED array, and a wind speed control unit; The sensor array includes a temperature and humidity sensor, a barometric pressure sensor, an ultraviolet radiation sensor, and an anemometer.

7. The method for evaluating the aging of high-altitude sensor terminal materials as described in any one of claims 1 to 6, characterized in that, The material property degradation data type is two or more of the following: electrical parameters, optical parameters, or mechanical parameters.

8. A high-altitude sensor terminal material aging evaluation system, characterized in that, The system, applied to the high-altitude sensor terminal material aging evaluation method as described in any one of claims 1 to 7, comprises: The data acquisition module is used to determine the target scene and extract the corresponding meteorological time series data from the preset database. The instruction generation module is used to generate timing control instructions based on the meteorological time series data to control the actuators configured in the environmental simulation chamber and reproduce the environmental parameters corresponding to the target scene in the environmental simulation chamber. The test module is used to place various types of sensing terminals in the environmental simulation chamber for aging tests and obtain corresponding material performance degradation data. Based on the environmental parameters and material performance degradation data, a quantitative correlation model corresponding to various types of sensing terminals is constructed. The output module is used to obtain the material aging evaluation results of the sensor terminal under test based on the quantitative correlation model corresponding to the type of sensor terminal under test.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the high-altitude sensor terminal material aging evaluation method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, it implements the high-altitude sensing terminal material aging evaluation method as described in any one of claims 1 to 7.

Images