Aging test system and use method of space photoelectric coupler
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA STATE SHIPBUILDING CORP NO 707 RES INST
- Filing Date
- 2023-03-12
- Publication Date
- 2026-08-07
AI Technical Summary
在相关技术中,对于光电耦合器的测试主要为型式测试和出厂试验,少量老化试验大多以电流传输比达到截止条件作为失效信号,同时仅考虑温度对光电耦合器运行状态的影响
[0025]本发明考虑航天用光电耦合器运行状态的特殊性,将温度、水汽、氧气、氢气、二氧化碳和辐照等同时作为光电耦合器运行状态的影响因素,通过配置多维老化柜采集老化试验数据,得到多个维度、更贴合运行实际的试验数据;同时引入云边协同技术,在边缘计算端快速处理试验数据,生成单一维度运行模型,在云计算端将单一运行模型整合为综合运行模型并优化,挖掘海量试验数据有效信息,为航天用光电耦合器的运行状态分析和寿命预测提供指导方案。
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Figure CN116430135B_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of electronic component testing technology, and in particular to an aging test system and method for aerospace optocouplers. Background Technology
[0002] An optocoupler is a transducer that uses light as a medium to transmit electrical signals. It mainly consists of a light source and a light receiver. Due to its good electrical insulation and anti-interference capabilities, it is widely used in various circuits. In related technologies, optocoupler testing primarily involves type testing and factory testing. A limited number of aging tests mostly use the current transfer ratio reaching the cutoff condition as a failure signal, and only consider the effect of temperature on the optocoupler's operating state. However, aerospace optocouplers are typically encapsulated within hermetically sealed ceramic enclosures. Besides temperature, the levels of water vapor, oxygen, hydrogen, and carbon dioxide in the internal environment, as well as neutron radiation in low Earth orbit, all affect their reliability. The aging mechanism of optocouplers under the combined influence of these factors requires further investigation. Furthermore, existing aging tests have a certain cycle, resulting in data feedback delays, and the potential effective information carried by the data needs to be fully explored. Summary of the Invention
[0003] The purpose of this invention is to overcome the shortcomings of the prior art and provide an aging test system and method for using aerospace optocouplers.
[0004] One of the above-mentioned objectives of the present invention is achieved through the following technical solution:
[0005] An aging test system for aerospace optocouplers, characterized in that it includes a multi-dimensional aging cabinet, a data transmission module, an edge computing terminal, and a cloud computing terminal;
[0006] The multi-dimensional aging chamber integrates multiple aging test chambers, a data acquisition module, and a control module. The aging test chambers house the optocouplers under test, providing the necessary testing environment. These chambers include temperature aging chambers, moisture aging chambers, oxygen aging chambers, hydrogen aging chambers, carbon dioxide aging chambers, and irradiation aging chambers, each with an observation window. The data acquisition module collects the operating parameters of the optocouplers under test in real time and transmits these parameters to the edge computing terminal via a data transmission module. Simultaneously, a monitoring camera mounted on the outside of the observation window of each aging test chamber enables real-time monitoring of the optocouplers. The control module adjusts the parameters of each aging test chamber.
[0007] The data transmission module is used for data communication between the multi-dimensional aging cabinet and the edge computing terminal, and between the edge computing terminal and the cloud computing terminal;
[0008] The edge computing terminal is used to receive, store, and process multidimensional test data transmitted from the multidimensional aging chamber in real time, and send edge decisions back to the control module of the multidimensional aging chamber to adjust the parameters of the aging test chamber; at the same time, it uploads the processed data to the cloud computing layer and loads the running status model transmitted back from the cloud computing terminal.
[0009] The cloud computing terminal is used to receive massive amounts of data and a single-dimensional optocoupler operating status model uploaded from the edge computing terminal. It uses a configured high-performance database server and cloud application server to construct an aerospace optocoupler operating status model under multiple influencing factors. The comprehensive model is trained using data and transmitted to the edge computing terminal through the data transmission module to guide the operation judgment and life prediction of the optocoupler.
[0010] Furthermore, the edge computing terminal includes a storage module, a model training module, and a human-computer interaction module; wherein the storage module is used to store experimental data during the experiment; the model training module is used to train a single-dimensional optocoupler operating state model; and the human-computer interaction module is used by the experiment operator to view the aging experiment status and set parameters.
[0011] Furthermore, the irradiation aging chamber uses a neutron pulse reactor as the irradiation source and selects 1MeV equivalent neutrons for irradiation.
[0012] Furthermore, the data acquisition module uses a DAM module to acquire analog quantities from the aging chamber and collects the operating parameters of the optocoupler under test in real time, including the optocoupler's saturation voltage drop, current transfer ratio, breakdown voltage, and forward voltage.
[0013] Furthermore, the surveillance camera is an industrial high-definition camera with autofocus.
[0014] Furthermore, the data transmission module adopts a ZigBee module and an RS485 interface to transmit data wirelessly.
[0015] The second objective of this invention is achieved through the following technical solution:
[0016] A method for using an aging test system for aerospace optocouplers, characterized by comprising the following steps:
[0017] Step 1: Place multiple optocouplers into various aging test chambers within the multidimensional aging cabinet. Each aging test chamber provides the required test environment for the optocouplers to be tested, including temperature, water vapor content, oxygen content, hydrogen content, carbon dioxide content, and irradiation variables.
[0018] Step 2: The data acquisition module collects key performance parameters such as saturation voltage drop, current transfer ratio, breakdown voltage, and forward voltage of the optocouplers in each aging test chamber at a certain period. At the same time, the monitoring camera captures images of the aging test chamber through the observation window and transmits the test data and monitoring images from each aging test chamber to the edge module through the data transmission module.
[0019] Step 3: After receiving the test data, the edge computing terminal stores it in the storage module; the test environment, test data, and monitoring screen are all displayed through the human-computer interaction interface. The test operator can view the aging test status in the interface, manually adjust the test parameters, and send them back to the control module in the aging test chamber through the data transmission module; at the same time, the edge computing terminal trains a single-dimensional optocoupler operating state model in the model training module based on the received data, and uploads the trained model and massive data to the cloud computing terminal through the data transmission module.
[0020] Step 4: After receiving the single-dimensional optocoupler operating status model and massive data, the cloud computing end uses deep learning methods to weight and aggregate the single model according to the amount of data. This integrates parameters such as temperature, water vapor content, oxygen content, hydrogen content, carbon dioxide content, and irradiance intensity to obtain a comprehensive model of the optocoupler operating status under multiple parameters. The reliability and generalization of the comprehensive operating status model are continuously improved through data training. The optimized comprehensive operating status model is then sent back to the edge computing end.
[0021] Step 5: After receiving the comprehensive operational status model, the edge computing terminal updates its own model to provide decision-making reference for the test operators.
[0022] Furthermore: In step 1, the temperature is between -55℃ and 125℃, and the water vapor content is ≤3000×10⁻⁶. -6 Oxygen content ≤4000×10 -6 Hydrogen content ≤2500×10 -6 Carbon dioxide content ≤5000×10 -6 The total irradiation dose was 5 × 10⁻⁶. 11 n / cm 2 The neutron fluence rate uncertainty is less than 10%.
[0023] Further: In step 3, the human-computer interaction is specifically carried out as follows: Add a data source in the Grafana configuration, select the InfluxDB type, and configure the corresponding URL, account and password. After testing and checking that a connection has been established with the database, configure the corresponding dashboard. The test operator can remotely log in and access the multi-dimensional aging cabinet through a browser to grasp the real-time parameters, view the test progress, remotely observe the on-site status and adjust the settings parameters.
[0024] The advantages and positive effects of this invention are as follows:
[0025] This invention takes into account the unique operating conditions of aerospace optocouplers, simultaneously considering factors such as temperature, water vapor, oxygen, hydrogen, carbon dioxide, and irradiation as influencing factors on the operating conditions of optocouplers. By configuring a multi-dimensional aging chamber to collect aging test data, it obtains multi-dimensional test data that is more closely aligned with actual operation. At the same time, it introduces cloud-edge collaborative technology to rapidly process test data at the edge computing end, generating a single-dimensional operating model. On the cloud computing end, the single operating model is integrated into a comprehensive operating model and optimized, mining effective information from massive amounts of test data to provide a guiding solution for the analysis of the operating conditions and life prediction of aerospace optocouplers. Attached Figure Description
[0026] Figure 1 This is a schematic diagram of the aging test system for the aerospace optocoupler of the present invention. Detailed Implementation
[0027] The structure of the present invention will be further described below with reference to the accompanying drawings and embodiments. It should be noted that these embodiments are descriptive and not limiting.
[0028] An aging test system for aerospace optocouplers, please refer to [link / reference]. Figure 1 Its invention points are: mainly including a multi-dimensional aging cabinet, a data transmission module, an edge computing terminal, and a cloud computing terminal.
[0029] The multi-dimensional aging chamber integrates multiple aging test chambers, data acquisition modules, and control modules. The aging test chamber is used to place the optocoupler under test, providing the necessary testing environment. Environmental variables include temperature, water vapor content, oxygen content, hydrogen content, carbon dioxide content, and irradiation intensity. Temperature changes affect the performance parameters of the optocoupler; water vapor accelerates the corrosion of the metallized layer or bonding wires of the optocoupler, leading to poor insulation performance, large leakage current, frost formation on the contact surface at low temperatures, poor contact, and circuit failure; oxygen, as a reactive gas, participates in the oxidation reaction of the optocoupler material, causing changes in material properties; oxygen components react with other atmospheres or materials to generate new gases or substances; hydrogen causes hydrogen damage to the material; hydrogen can promote dislocation emission, multiplication, and movement; hydrogen clouds can reduce the interaction between dislocations and promote localized plastic deformation of the material; high carbon dioxide content reacts with water vapor to form a highly acidic environment, which in turn corrodes the exposed metal of the optocoupler; irradiation can cause displacement damage to the optocoupler. Based on the testing environment category, the multiple aging test chambers are categorized as temperature aging chamber, water vapor aging chamber, oxygen aging chamber, hydrogen aging chamber, carbon dioxide aging chamber, and irradiation aging chamber, each equipped with an observation window. Specifically, the temperature aging chamber contains a heater and a temperature sensor; the water vapor aging chamber contains a humidifier and a humidity sensor; the oxygen, hydrogen, and carbon dioxide aging chambers each contain gas distribution equipment and gas sensors; and the irradiation aging chamber uses a neutron pulse reactor as the irradiation source, selecting 1 MeV equivalent neutrons for irradiation, and is also equipped with a neutron sensor.
[0030] The data acquisition module uses a DAM module to collect analog quantities from the aging chamber and, through the test program in the SONY Tektronix-370A programmable tester, acquires the operating parameters of the optocoupler under test in real time using an in-situ testing method. These parameters include the optocoupler's saturation voltage drop, current transfer ratio, breakdown voltage, and forward voltage. The parameters are then transmitted to the edge computing terminal via a data transmission module. Simultaneously, a monitoring camera equipped on the outside of the aging test chamber's observation window, using an industrial high-definition camera with autofocus, enables real-time monitoring of the optocoupler under test. The control module adjusts the parameters of each aging test chamber, including environmental parameters (such as temperature, water vapor content, oxygen content, hydrogen content, carbon dioxide content, and irradiance) as well as the sampling period and cutoff conditions for the optocoupler aging test. Specifically, the control module regulates the temperature by controlling the heater in the temperature aging chamber, with the temperature sensor providing real-time feedback; it regulates the water vapor content by controlling the humidifier in the water vapor aging chamber, with the humidity sensor providing real-time feedback; it regulates the oxygen, hydrogen, and carbon dioxide content by controlling the gas distribution equipment in the oxygen, hydrogen, and carbon dioxide aging chambers, with the gas sensors providing real-time feedback; and it regulates the irradiation intensity by controlling the neutron flux of the irradiation source in the irradiation aging chamber, with the neutron sensor providing real-time feedback.
[0031] The data transmission module is used for data communication between the multidimensional aging cabinet and the edge computing terminal, and between the edge computing terminal and the cloud computing terminal. It uses a ZigBee module and an RS485 interface to transmit data wirelessly.
[0032] The edge computing terminal receives, stores, and processes multidimensional test data from the multidimensional aging chamber in real time, and sends edge decisions back to the control module of the multidimensional aging chamber to adjust the parameters of the aging test chamber. Simultaneously, it uploads the processed data to the cloud computing layer and loads the operating status model returned from the cloud computing terminal. It includes a storage module, a model training module, and a human-computer interaction module. The storage module stores test data during the test process in a cache database Redis, and then transmits the data to the message middleware Kafka via HTTP, distributing the data to the time-series database InfluxDB according to the subscribers. The model training module trains single-dimensional optocoupler operating status models. Temperature, water vapor content, oxygen content, hydrogen content, carbon dioxide content, and irradiance data received from the data transmission module are used as inputs to each single-dimensional optocoupler operating status model, with the current transfer ratio as the output. When the current transfer ratio drops to 50% of the initial value, it is determined that the optocoupler has failed due to aging. In this embodiment, a support vector machine (SVM) method is used to predict the operating status of the single-dimensional optocoupler, and the SVM parameters are optimized using a genetic algorithm. The human-computer interaction module is used by test operators to view the aging test status and set parameters, and can be implemented through Grafana.
[0033] The cloud computing terminal is used to receive massive amounts of data and single-dimensional optocoupler operation status models uploaded from the edge computing terminal. It is equipped with a high-performance database server and cloud application server, using Jetson Xavier NX as the server side, to construct an aerospace optocoupler operation status model under multiple influencing factors. The comprehensive model is trained using data and transmitted to the edge computing terminal through the data transmission module to guide the operation judgment and life prediction of the optocoupler.
[0034] The system is connected as follows: multiple aging test chambers in the multidimensional aging cabinet are arranged in parallel and connected to the data acquisition module and the control module respectively; the data acquisition module is connected to the control module and connected to the edge computing terminal through the data transmission module respectively; the edge computing terminal is bidirectionally connected to the cloud computing terminal through the data transmission module.
[0035] The aging test and analysis steps for aerospace optocouplers using the aforementioned system are as follows:
[0036] Step 1: Place multiple optocouplers into various aging test chambers within the multi-dimensional aging cabinet. Each aging test chamber provides the necessary testing environment for the optocouplers under test, including variables such as temperature, moisture content, oxygen content, hydrogen content, carbon dioxide content, and irradiation. The environmental parameter ranges are set as follows: temperature between -55℃ and 125℃, moisture content ≤3000×10⁻⁶. -6 Oxygen content ≤4000×10-6 Hydrogen content ≤2500×10 -6 Carbon dioxide content ≤5
[0037] 000×10 -6 The total irradiation dose was 5 × 10⁻⁶. 11 n / cm 2 The neutron fluence rate uncertainty is less than 10%.
[0038] Step 2: The data acquisition module collects key performance parameters such as saturation voltage drop, current transfer ratio, breakdown voltage, and forward voltage of the optocouplers in each aging test chamber at a certain period. At the same time, the monitoring camera captures images of the aging test chamber through the observation window and transmits the test data and monitoring images from each aging test chamber to the edge module through the data transmission module.
[0039] Step 3: After receiving the test data, the edge computing terminal stores it in the storage module. The test environment, test data, and monitoring screen are all displayed through a human-computer interaction interface. Test operators can view the aging test status, manually adjust test parameters, and send data back to the control module in the aging test chamber via the data transmission module. Specifically, in Grafana configuration, add a data source, select the InfluxDB type, and configure the corresponding URL, username, and password. After testing and verifying the connection to the database, configure the corresponding dashboard. Test operators can remotely log in and access the system via a browser to monitor the real-time parameters of the multi-dimensional aging chamber, view the test progress, remotely observe the on-site status, and adjust settings. Simultaneously, based on the received data, the edge computing terminal trains a single-dimensional optocoupler operating status model in the model training module and uploads the trained model and massive amounts of data to the cloud computing terminal via the data transmission module.
[0040] Step 4: After receiving the single-dimensional optocoupler operating status model and massive data, the cloud computing end uses deep learning methods to weight and aggregate the single model according to the amount of data. This integrates parameters such as temperature, water vapor content, oxygen content, hydrogen content, carbon dioxide content, and irradiance intensity to obtain a comprehensive model of the optocoupler operating status under multiple parameters. The reliability and generalization of the comprehensive operating status model are continuously improved through data training. The optimized comprehensive operating status model is then sent back to the edge computing end.
[0041] Step 5: After receiving the comprehensive operational status model, the edge computing terminal updates its own model to provide decision-making reference for the test operators.
[0042] Although embodiments and drawings of the present invention have been disclosed for illustrative purposes, those skilled in the art will understand that various substitutions, alterations and modifications are possible without departing from the spirit and scope of the present invention and the appended claims. Therefore, the scope of the present invention is not limited to the contents disclosed in the embodiments and drawings.
Claims
1. An aging test system for aerospace optocouplers, characterized in that: This includes a multi-dimensional aging cabinet, a data transmission module, an edge computing terminal, and a cloud computing terminal; The multi-dimensional aging chamber integrates multiple aging test chambers, a data acquisition module, and a control module. The aging test chambers house the optocouplers under test, providing the necessary testing environment. These chambers include temperature aging chambers, moisture aging chambers, oxygen aging chambers, hydrogen aging chambers, carbon dioxide aging chambers, and irradiation aging chambers, each with an observation window. The data acquisition module collects the operating parameters of the optocouplers under test in real time and transmits these parameters to the edge computing terminal via a data transmission module. Simultaneously, a monitoring camera mounted on the outside of the observation window of each aging test chamber enables real-time monitoring of the optocouplers. The control module adjusts the parameters of each aging test chamber. The data transmission module is used for data communication between the multi-dimensional aging cabinet and the edge computing terminal, and between the edge computing terminal and the cloud computing terminal; The edge computing terminal is used to receive, store, and process multidimensional test data transmitted from the multidimensional aging chamber in real time, and send edge decisions back to the control module of the multidimensional aging chamber to adjust the parameters of the aging test chamber; at the same time, it uploads the processed data to the cloud computing layer and loads the running status model transmitted back from the cloud computing terminal. The cloud computing terminal is used to receive massive amounts of data and a single-dimensional optocoupler operating status model uploaded from the edge computing terminal. It uses a configured high-performance database server and cloud application server to construct an aerospace optocoupler operating status model under multiple influencing factors. The comprehensive model is trained using data and transmitted to the edge computing terminal through the data transmission module to guide the operation judgment and life prediction of the optocoupler.
2. The aging test system for aerospace optocouplers according to claim 1, characterized in that: The edge computing terminal includes a storage module, a model training module, and a human-computer interaction module; The storage module is used to store the test data during the test process; The model training module is used to train a single-dimensional optocoupler operating state model; the human-computer interaction module is used by test operators to view the aging test conditions and set parameters.
3. The aging test system for aerospace optocouplers according to claim 1, characterized in that: The irradiation aging chamber uses a neutron pulse reactor as the irradiation source and selects 1MeV equivalent neutrons for irradiation.
4. The aging test system for aerospace optocouplers according to claim 1, characterized in that: The data acquisition module uses a DAM module to acquire analog quantities from the aging chamber and collects the operating parameters of the optocoupler under test in real time, including the optocoupler's saturation voltage drop, current transfer ratio, breakdown voltage, and forward voltage.
5. The aging test system for aerospace optocouplers according to claim 1, characterized in that: The surveillance camera is an industrial high-definition camera with autofocus.
6. The aging test system for aerospace optocouplers according to claim 1, characterized in that: The data transmission module uses a ZigBee module and an RS 485 interface to transmit data wirelessly.
7. A method of using an aging test system for aerospace optocouplers as described in any one of claims 1-6, characterized in that, Includes the following steps: Step 1: Place multiple optocouplers into various aging test chambers within the multidimensional aging cabinet. Each aging test chamber provides the required test environment for the optocouplers to be tested, including temperature, water vapor content, oxygen content, hydrogen content, carbon dioxide content, and irradiation variables. Step 2: The data acquisition module collects the main performance parameters of the optocouplers in each aging test chamber at a certain period, including saturation voltage drop, current transfer ratio, breakdown voltage and forward voltage. At the same time, the monitoring camera captures the scene in the aging test chamber through the observation window and transmits the test data and monitoring scene in each aging test chamber to the edge module through the data transmission module. Step 3: After receiving the test data, the edge computing terminal stores it in the storage module; the test environment, test data, and monitoring screen are all displayed through the human-computer interaction interface. The test operator can view the aging test status in the interface, manually adjust the test parameters, and send them back to the control module in the aging test chamber through the data transmission module; at the same time, the edge computing terminal trains a single-dimensional optocoupler operating state model in the model training module based on the received data, and uploads the trained model and massive data to the cloud computing terminal through the data transmission module. Step 4: After receiving the single-dimensional optocoupler operating status model and massive data, the cloud computing end uses deep learning methods to weight and aggregate the single model according to the amount of data. This integrates parameters such as temperature, water vapor content, oxygen content, hydrogen content, carbon dioxide content, and irradiance intensity to obtain a comprehensive model of the optocoupler operating status under multiple parameters. The reliability and generalization of the comprehensive operating status model are continuously improved through data training. The optimized comprehensive operating status model is then sent back to the edge computing end. Step 5: After receiving the comprehensive operational status model, the edge computing terminal updates its own model to provide decision-making reference for the test operators.
8. The method of using the aging test system for aerospace optocouplers according to claim 7, characterized in that: In step 1, the temperature is between -55℃ and 125℃, and the water vapor content is ≤3000×10⁻⁶. -6 Oxygen content ≤ 4000 × 10 -6 Hydrogen content ≤ 2500 × 10 -6 Carbon dioxide content ≤ 5000 × 10 -6 The total irradiation dose was 5 × 10⁻⁶. 11 n / cm 2 The neutron fluence rate uncertainty is less than 10%.
9. The method of using the aging test system for aerospace optocouplers according to claim 7, characterized in that: In step 3, the human-computer interaction is specifically performed as follows: Add a data source in the Grafana configuration, select the InfluxDB type, and configure the corresponding URL, account, and password. After testing and verifying the connection with the database, configure the corresponding dashboard. The test operator can remotely log in and access the multi-dimensional aging chamber through a browser to monitor the real-time parameters, view the test progress, remotely observe the on-site status, and adjust the settings parameters.
Citation Information
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