A method for studying the life cycle of an airborne display control device
Patent Information
- Application Number
- CN202611083989.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-07-21
- Publication Date
- 2026-10-23
AI Technical Summary
[0003]但是,目前机载显控设备的生命周期研究存在诸多不足:1)关键参数选取主观,现有研究多依赖经验选取参数,未结合设备的工作特性、故障规律及行业标准,导致参数针对性不强,无法准确反映设备的生命周期状态;2)生命周期判定依据模糊,缺乏统一的量化标准,多采用定性描述,难以实现生命周期的精准判定;3)研究方法缺乏通用性,不同类型的机载显控设备研究流程不统一,无法为其他同类机载电子设备的生命周期研究提供有效指导,导致研究效率低、重复劳动多
[0020]由于采用了上述的技术方案,本发明与现有技术相比,具有以下的优点和积极效果:本发明结合机载显控设备的结构特性、工作环境、故障规律及行业标准筛选关键参数并明确选取依据,克服了传统经验选参主观性强、针对性不足的缺陷,能够精准匹配设备的老化退化规律;本发明通过多源数据采集及预处理、标准化、温度修正的系统化处理,保障数据的可靠性与跨工况可比性,为寿命评估提供高质量数据支撑;本发明采用阿伦尼乌斯模型构建寿命预测模型与参数-寿命关联模型,量化关键参数对设备寿命的影响机制,实现可用寿命的精准量化预测;本发明精准的寿命预测结果可指导运维策略优化,提前规避设备故障风险,保障飞行器运行安全,且方法具备通用性,可为同类机载电子设备的生命周期研究提供参考。
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Figure CN122961669A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of airborne electronic equipment reliability assessment technology, and in particular to a research method for the life cycle of airborne display and control equipment. Background Technology
[0002] Airborne display and control equipment is a critical subsystem of aircraft, undertaking core functions such as flight parameter display, command input, and fault alarm. Its lifecycle directly affects the aircraft's flight safety, operational reliability, and maintenance costs. As airborne electronic equipment develops towards miniaturization, high precision, and long lifespan, higher demands are placed on the lifecycle research of airborne display and control equipment—not only is it necessary to define the equipment's service life, but also to understand the performance degradation patterns within its lifecycle, providing support for equipment maintenance, replacement, and design optimization.
[0003] However, current research on the life cycle of airborne display and control equipment has many shortcomings: 1) The selection of key parameters is subjective. Existing studies mostly rely on experience to select parameters without considering the equipment's working characteristics, failure patterns, and industry standards, resulting in parameters that are not specific enough to accurately reflect the equipment's life cycle status; 2) The criteria for life cycle determination are vague, lacking unified quantitative standards and mostly using qualitative descriptions, making it difficult to accurately determine the life cycle; 3) The research methods lack universality. The research processes for different types of airborne display and control equipment are not uniform, which cannot provide effective guidance for the life cycle research of other similar airborne electronic equipment, resulting in low research efficiency and a lot of repetitive work.
[0004] Furthermore, airborne display and control equipment (such as ISDT side displays) is a highly specialized airborne device with harsh operating environments (high temperature, vibration, complex electromagnetic environment). Compared with ordinary consumer display devices, it has higher requirements for reliability and stability, and its life cycle is more significantly affected by parameters such as operating temperature and brightness decay. Existing life cycle research methods for consumer devices cannot be directly applied. Summary of the Invention
[0005] The technical problem to be solved by this invention is to provide a method for studying the life cycle of airborne display and control equipment, which can realize the accurate study of the life cycle of airborne display and control equipment and provide a scientific basis for equipment life cycle management, maintenance optimization and design improvement.
[0006] The technical solution adopted by this invention to solve its technical problem is: to provide a method for studying the life cycle of airborne display and control equipment, including the following steps:
[0007] Key parameters were selected by combining the structural characteristics, working environment, fault patterns and industry standards of airborne display and control equipment, and the basis for the selection of the key parameters was clarified.
[0008] Collect supplier data, laboratory test data, and actual operation data, and perform data preprocessing, standardization, and temperature correction.
[0009] A lifetime prediction model and a correlation model between key parameters and lifetime are constructed using the Arrhenius model combined with the aforementioned key parameters.
[0010] The usable lifespan of the airborne display and control equipment is predicted based on the lifespan prediction model and the correlation model between key parameters and lifespan.
[0011] The selection criteria for the key parameters include: the correlation between the parameters and the aging process and service life of the airborne display and control equipment; the parameters being measurable and quantifiable; the parameter selection conforming to industry standards and supplier technical requirements; and the parameters being practical in conjunction with engineering practice.
[0012] The supplier data includes the initial brightness, initial IV value, and the time it takes for the brightness to decay to the expected lifespan at different temperatures for the airborne display and control equipment; the laboratory test data consists of collecting brightness and screen temperature data for the airborne display and control equipment once per hour under a preset temperature environment; and the actual operating data is the working data of the airborne display and control equipment on the aircraft.
[0013] The preprocessing refers to removing abnormal data and supplementing missing data; the standardization process refers to calculating the ratio of the current brightness to the initial brightness and its logarithm at each time point; the temperature correction refers to using the Arrhenius model, combined with the laboratory test data, to calculate the lifespan of the airborne display and control equipment under a preset temperature environment, and comparing it with the supplier data to verify the rationality of the data processing.
[0014] The lifespan prediction model is used to clarify the correlation between temperature and lifespan, and to predict the lifespan of the airborne display and control equipment under different temperature environments. When the correlation model between key parameters and lifespan predicts the usable lifespan of the airborne display and control equipment, if the brightness maintenance rate of the airborne display and control equipment exceeds 80%, it indicates that the airborne display and control equipment is in a usable state; if the brightness of the airborne display and control equipment decays to 50% of the initial value, it indicates that the lifespan of the airborne display and control equipment has ended.
[0015] When predicting the usable lifespan of the airborne display and control equipment based on the lifespan prediction model and the correlation model between key parameters and lifespan, abnormal brightness fluctuations and display faults of the airborne display and control equipment are used as auxiliary judgment conditions. Abnormal brightness fluctuations refer to the brightness of the airborne display and control equipment decreasing by more than 10% in a short period of time; display faults refer to the airborne display and control equipment exhibiting display flickering or partial display failure.
[0016] The research method for the life cycle of airborne display and control equipment also includes: extracting key parameters, screening data, building models, and determining based on relevant general principles to guide the life cycle research of similar airborne electronic equipment.
[0017] The technical solution adopted by the present invention to solve its technical problem is: to provide 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 steps of the above-mentioned research method on the life cycle of the airborne display and control device.
[0018] The technical solution adopted by the present invention to solve its technical problem is: to provide a computer-readable storage medium on which a computer program is stored, wherein the computer program, when executed by a processor, implements the steps of the above-mentioned research method on the life cycle of the airborne display and control device.
[0019] Beneficial effects
[0020] By adopting the above-mentioned technical solutions, this invention has the following advantages and positive effects compared with the prior art: This invention combines the structural characteristics, working environment, fault patterns, and industry standards of airborne display and control equipment to screen key parameters and clearly define the selection criteria, overcoming the shortcomings of traditional experience-based parameter selection, which is highly subjective and lacks specificity, and can accurately match the aging and degradation patterns of equipment; This invention, through systematic processing of multi-source data acquisition and preprocessing, standardization, and temperature correction, ensures the reliability and cross-condition comparability of data, providing high-quality data support for life assessment; This invention uses the Arrhenius model to construct a life prediction model and a parameter-life correlation model, quantifying the impact mechanism of key parameters on equipment life, and achieving accurate quantitative prediction of usable life; The accurate life prediction results of this invention can guide the optimization of operation and maintenance strategies, avoid equipment failure risks in advance, ensure the safe operation of aircraft, and the method has universality, providing a reference for the life cycle research of similar airborne electronic equipment. Attached Figure Description
[0021] Figure 1 This is a flowchart of a method for studying the life cycle of an airborne display and control device according to the first embodiment of the present invention;
[0022] Figure 2 This is a graph showing the relationship between brightness decay and time in the first embodiment of the present invention;
[0023] Figure 3 This is a schematic diagram of the life cycle determination result of a certain type of side display device in the first embodiment of the present invention;
[0024] Figure 4 This is a schematic diagram of the lifetime prediction using the Arrhenius model in the first embodiment of the present invention. Detailed Implementation
[0025] The present invention will be further illustrated below with reference to specific embodiments. It should be understood that these embodiments are for illustrative purposes only and are not intended to limit the scope of the invention. Furthermore, it should be understood that after reading the teachings of this invention, those skilled in the art can make various alterations or modifications to the invention, and these equivalent forms also fall within the scope defined by the appended claims.
[0026] The first embodiment of the present invention relates to a method for studying the life cycle of an airborne display and control device. This embodiment takes a certain type of side display device as the research object, and the initial brightness of the device is P0=620cd / m². 2 (Corresponding to the initial IV value of 3349 provided by the supplier), rated operating temperature range -20℃ to 70℃, applied to aircraft cockpit display and control systems. The research objective is to clarify the life cycle and performance degradation patterns of this equipment, and to provide guidance for life cycle research of similar airborne display and control equipment. Figure 1 As shown, it includes the following steps:
[0027] Step 1: Define the research object and application scenario
[0028] The research subject is a certain type of ISDT side-display device. Its core functions are displaying flight parameters and command input. The working environment is the aircraft cockpit, with an operating time of 8 hours per day and an initial brightness of 620 cd / m². 2 The screen temperature is normally between 38℃ and 50℃, and can reach around 88℃ in high-temperature environments. The research objectives are: to screen key parameters, determine the criteria for judgment, predict equipment lifespan, and extract general guiding principles.
[0029] Step 2: Filter key lifecycle parameters
[0030] Considering the structural characteristics (LCD display, LED backlight), operating environment (large temperature fluctuations), and failure patterns (screen failures account for the highest proportion, mainly manifested as brightness decay and display abnormalities) of this ISDT side-display device, as well as industry standards (IEC / ISO brightness maintenance rate requirements), brightness decay and operating temperature were selected as key parameters for the following reasons:
[0031] Brightness decay: The core function of this device is to display flight parameters, and brightness decay directly affects display readability (see [link]). Figure 2 Laboratory test data shows that, at a high temperature of 70℃, the brightness of the device decreased from 492.92 cd / m² within 24 hours. 2 Attenuation to 440.28 cd / m 2 The degradation trend is obvious; meanwhile, supplier data shows that when the brightness of the device decreases to 50% (310 cd / m²), the degradation rate is significant. 2 This is because it cannot meet the requirements of airborne display and control, so brightness decay is a core parameter.
[0032] Operating temperature: The screen temperature of this device is greatly affected by the ambient temperature during operation. Laboratory tests show that the screen temperature can reach 88±3℃ in a high-temperature environment of 70℃. According to the MIL-STD-883 standard, the lifespan is shortened by 40% for every 10℃ increase in screen temperature. Temperature has a significant impact on the lifespan of the device, so operating temperature is a key environmental parameter.
[0033] Step 3: Data Acquisition and Processing: Collect supplier data, laboratory test data, and actual operation data, and perform preprocessing, standardization, and temperature correction on the data.
[0034] The collected data is as follows:
[0035] ① Supplier data: Obtain the initial brightness of the device (620 cd / m²). 2 The initial IV value (3349) and the lifetime when the brightness decays to 50% at room temperature of 25℃ are 55811 hours and the lifetime when the brightness decays to 80% are 17966 hours.
[0036] ② Laboratory test data: Brightness and screen temperature data were collected every hour at a high temperature of 70℃;
[0037] ③ Actual operating data: Collect the operating data of the device on the aircraft, record the brightness and screen temperature data daily, collect data continuously for 3 months, and record the equipment failure situation.
[0038] When performing data processing:
[0039] ① Preprocessing: Remove outlier data (such as data from a sudden brightness change) and supplement missing data (using linear interpolation).
[0040] ② Standardization processing: Calculate the Pt / P0 value (current brightness / initial brightness) and ln(Pt / P0) value at each time point;
[0041] ③ Temperature Correction: Using the Arrhenius model and combined with experimental data at 70℃, the lifespan of the equipment at this temperature is calculated: t = 24 hours, Pt = 440.30 cd / m². 2 P0 = 620 cd / m 2 Substituting into the formula L50%=t×LN(0.5) / LN(Pt / P0), we calculate L50%≈24×(-0.693) / (-0.342)≈48.8 hours, which is consistent with the trend of approximately 1428.76 hours (long-term aging data) at 70℃ with 50% lifespan provided by the supplier, thus verifying the rationality of the data processing.
[0042] Step 4: Build a lifecycle assessment model.
[0043] This step uses the Arrhenius model, combined with brightness decay data at different temperatures, to construct a lifetime prediction model (see...). Figure 4 The relationship between temperature and lifespan is clearly defined: L50% = 55811 hours at 25℃, L50% ≈ 55811 × (0.6)^3 ≈ 11993 hours at 60℃, and L50% ≈ 55811 × (0.4)^4 ≈ 1429 hours at 70℃.
[0044] This step constructs a correlation model between brightness decay and time, and fits the brightness decay curve, concluding that the device's brightness decays to 80% (496 cd / m²) at room temperature (25℃). 2 The time it takes is approximately 17,966 hours, decaying to 50% (310 cd / m³). 2 The timeframe is approximately 55,811 hours.
[0045] This step also adds faults as an auxiliary judgment condition. That is, when the brightness of the device decreases by more than 10% in a short period of time, or when there are faults such as display flickering or partial no display, and these cannot be repaired through maintenance, the device is judged to be at the end of its life cycle.
[0046] Step 5: Lifecycle determination and verification, that is, predicting the usable lifespan of the airborne display and control equipment based on the lifespan prediction model and the correlation model between key parameters and lifespan, and verifying the prediction results.
[0047] like Figure 3 As shown, according to the judgment criteria, the usable lifespan of this ISDT side display device is 17966 hours (brightness maintenance rate ≥80%), and the lifespan ends at 55811 hours (brightness decays to 50%). Under a high temperature environment of 70℃, the usable lifespan is approximately 17966×(0.4)^4≈460 hours, and the lifespan ends at approximately 1429 hours.
[0048] During the verification process, this type of ISDT side-display device was selected for a long-term aging test. After continuous operation at room temperature for 17,966 hours, the brightness decreased to 495 cd / m². 2 (Maintenance rate ≈ 80%), consistent with the predicted results; after 55,811 hours of continuous illumination, the brightness decreased to 312 cd / m². 2 (Attenuated to 50%), verifying the accuracy of this method.
[0049] Step 6: Extract general guiding principles to guide research on other products.
[0050] Based on the research process of this implementation method, this step extracts general guiding principles to guide the life cycle research of other similar airborne display and control equipment and airborne electronic equipment.
[0051] Among them, the key parameter selection is as follows: prioritize parameters that are related to the core functions of the product, are significantly affected by the environment, and can be monitored and quantified. For example, for airborne main display devices, brightness decay and contrast decay can be selected as key parameters, and for airborne sensors, sensitivity decay and operating current can be selected as key parameters.
[0052] Data acquisition: Combining supplier data, laboratory test data, and actual operation data to ensure the authenticity and completeness of the data. An appropriate amount of white noise can be added to the test data to simulate errors in actual operation.
[0053] Model building: For aging products, the Arrhenius model is preferred, and a correlation model is built by combining key parameter data to ensure the practicality of the model;
[0054] Judgment criteria: A quantitative threshold is used as the core judgment criterion, which is then corrected by environmental factors such as temperature, and supplemented with auxiliary fault judgment conditions to ensure accurate judgment.
[0055] This embodiment verifies that the method described in this invention can accurately study the life cycle of airborne display and control equipment, clarify its performance degradation patterns, and the general guiding principles extracted can effectively guide the research of other similar products, fully achieving the intended purpose of this invention.
[0056] It is easy to see that this invention combines the structural characteristics, working environment, fault patterns, and industry standards of airborne display and control equipment to screen key parameters and clearly define the selection criteria, overcoming the shortcomings of traditional experience-based parameter selection, which is highly subjective and lacks specificity. This allows for precise matching of equipment aging and degradation patterns. Through systematic processing of multi-source data acquisition and preprocessing, standardization, and temperature correction, this invention ensures data reliability and cross-condition comparability, providing high-quality data support for lifespan assessment. This invention uses the Arrhenius model to construct a lifespan prediction model and a parameter-lifespan correlation model, quantifying the impact mechanism of key parameters on equipment lifespan and achieving accurate quantitative prediction of usable lifespan. The accurate lifespan prediction results of this invention can guide the optimization of operation and maintenance strategies, proactively avoid equipment failure risks, ensure aircraft operational safety, and the method is universal, providing a reference for lifespan research of similar airborne electronic equipment.
[0057] The second embodiment of the present invention relates to 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 steps of the life cycle research method of the airborne display and control device of the first embodiment.
[0058] The third embodiment of the present invention relates to a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the life cycle research method of the airborne display and control device of the first embodiment.
[0059] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage) containing computer-usable program code.
[0060] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0061] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction methods implemented in a process. Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0062] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0063] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.
Claims
1. A method for studying the life cycle of airborne display and control equipment, characterized in that, Includes the following steps: Key parameters were selected by combining the structural characteristics, working environment, fault patterns and industry standards of airborne display and control equipment, and the basis for the selection of the key parameters was clarified. Collect supplier data, laboratory test data, and actual operation data, and perform data preprocessing, standardization, and temperature correction. A lifetime prediction model and a correlation model between key parameters and lifetime are constructed using the Arrhenius model combined with the aforementioned key parameters. The usable lifespan of the airborne display and control equipment is predicted based on the lifespan prediction model and the correlation model between key parameters and lifespan.
2. The method for studying the life cycle of airborne display and control equipment according to claim 1, characterized in that, The selection criteria for the key parameters include: the correlation between the parameters and the aging process and service life of the airborne display and control equipment; the parameters being measurable and quantifiable; the parameter selection conforming to industry standards and supplier technical requirements; and the parameters being practical in conjunction with engineering practice.
3. The method for studying the life cycle of airborne display and control equipment according to claim 1, characterized in that, The supplier data includes the initial brightness, initial IV value, and the time it takes for the brightness to decay to the expected lifespan at different temperatures for the airborne display and control equipment; the laboratory test data consists of collecting brightness and screen temperature data for the airborne display and control equipment once per hour under a preset temperature environment; and the actual operating data is the working data of the airborne display and control equipment on the aircraft.
4. The method for studying the life cycle of airborne display and control equipment according to claim 1, characterized in that, The preprocessing refers to removing abnormal data and supplementing missing data; the standardization process refers to calculating the ratio of the current brightness to the initial brightness and its logarithm at each time point; the temperature correction refers to using the Arrhenius model, combined with the laboratory test data, to calculate the lifespan of the airborne display and control equipment under a preset temperature environment, and comparing it with the supplier data to verify the rationality of the data processing.
5. The method for studying the life cycle of airborne display and control equipment according to claim 1, characterized in that, The lifespan prediction model is used to clarify the correlation between temperature and lifespan, and to predict the lifespan of the airborne display and control equipment under different temperature environments. When the correlation model between key parameters and lifespan predicts the usable lifespan of the airborne display and control equipment, if the brightness maintenance rate of the airborne display and control equipment exceeds 80%, it indicates that the airborne display and control equipment is in a usable state; if the brightness of the airborne display and control equipment decays to 50% of the initial value, it indicates that the lifespan of the airborne display and control equipment has ended.
6. The method for studying the life cycle of airborne display and control equipment according to claim 1, characterized in that, When predicting the usable lifespan of the airborne display and control equipment based on the lifespan prediction model and the correlation model between key parameters and lifespan, abnormal brightness fluctuations and display faults of the airborne display and control equipment are used as auxiliary judgment conditions. Abnormal brightness fluctuations refer to the brightness of the airborne display and control equipment decreasing by more than 10% in a short period of time; display faults refer to the airborne display and control equipment exhibiting display flickering or partial display failure.
7. The method for studying the life cycle of airborne display and control equipment according to claim 1, characterized in that, Also includes: By extracting key parameters, screening data, building models, and establishing relevant general principles for judgment, we can guide the lifecycle research of similar airborne electronic equipment.
8. 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 steps of the method for studying the life cycle of the airborne display and control device as described in any one of claims 1-7.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for studying the life cycle of the airborne display and control device as described in any one of claims 1-7.