Method and device for detecting stability of optical coupling device

Abstract

The invention provides a stability detection method and detection device for an optical coupling device, and relates to the technical field of stability detection, and the method comprises the steps: arranging N sensor groups in a working environment of a to-be-detected optical coupling device; the method comprises the following steps: acquiring multi-dimensional working data streams of N optical couplers in real time; carrying out filtering processing and feature extraction on the multi-dimensional working data streams of the N optical couplers by adopting a sliding window mechanism; establishing an optical coupling device stability evaluation channel, performing stability evaluation, and determining stability information of N optical coupling devices; and performing integrated analysis to obtain a stability detection result of the optical coupling device. The technical problem that the stability detection result is inaccurate due to the fact that the photoelectric performance of the optical coupling device has different characteristics in the dynamic working state is solved, the optical coupling device is monitored in real time through the multiple sensor sets, an optical coupling device stability evaluation channel is constructed, and the stability of the optical coupling device is evaluated. And the accuracy and comprehensiveness of stability detection of the optical coupling device are improved.

Description

Technical Field

[0001] This application relates to the technical field of stability detection, and particularly to a method and device for detecting the stability of an optical coupling device. Background Art

[0002] In traditional methods for detecting the stability of optical coupling devices, static testing or environmental simulation testing is usually relied on, and the performance changes of optical coupling devices in the dynamic working state cannot be accurately captured. Specifically, the optoelectronic properties of optical coupling devices (such as response time, optoelectronic isolation degree, switching speed, etc.) will change significantly with the working conditions. Existing methods for detecting the stability of optical coupling devices usually rely on static testing under fixed environmental conditions (such as environmental factors like temperature and humidity), and cannot comprehensively reflect the dynamic performance of optical coupling devices in actual operation, resulting in performance degradation or failure of optical coupling devices during long-term operation, thereby affecting the use efficiency.

[0003] In summary, there is a technical problem in the prior art that due to the different characteristics of the optoelectronic properties of optical coupling devices in the dynamic working state, the stability detection results are inaccurate. Summary of the Invention

[0004] The purpose of this application is to provide a method and device for detecting the stability of an optical coupling device, so as to solve the technical problem in the prior art that due to the different characteristics of the optoelectronic properties of optical coupling devices in the dynamic working state, the stability detection results are inaccurate.

[0005] In view of the above problems, this application provides a method and device for detecting the stability of an optical coupling device.

[0006] In a first aspect, the present application provides a method for detecting the stability of an optical coupling device. The method for detecting the stability of an optical coupling device is implemented by a device for detecting the stability of an optical coupling device. Among them, the method for detecting the stability of an optical coupling device includes: arranging N sensor groups in the working environment of the optical coupling device to be detected, where the sensor group includes a temperature sensor, a current sensor, and an optical power sensor, and connecting the sensor group to a data acquisition card; determining a preset sampling frequency according to the working characteristics of the optical coupling device to be detected, and obtaining N multi-dimensional working data streams of the optical coupling device in real time through the data acquisition card according to the preset sampling frequency; using a sliding window mechanism to perform filtering processing and feature extraction on the N multi-dimensional working data streams of the optical coupling device to obtain an N working feature set of the optical coupling device; building a stability evaluation channel for the optical coupling device, and performing stability evaluation on the N working feature set of the optical coupling device based on the stability evaluation channel for the optical coupling device to determine the stability information of the N optical coupling devices; performing integrated analysis on the stability information of the N optical coupling devices to obtain the detection result of the stability of the optical coupling device.

[0007] Optionally, obtain the working performance parameter threshold of the optical coupling device to be detected, and select the sensor type parameter and the sensor specification parameter according to the working performance parameter threshold; perform sensor selection integration based on the sensor type parameter and the sensor specification parameter to obtain a working sensor group; identify key points in the layout information of the working environment according to the working elements of the optical coupling device to obtain N environmental key points; arrange the working sensor group in sequence on the N environmental key points to obtain the N sensor groups.

[0008] Optionally, determine the electrical working element, the optical working element, and the thermal working element according to the working elements of the optical coupling device; use the electrical working element, the optical working element, and the thermal working element to identify key points in the layout information of the working environment respectively to obtain an electrical key point set, an optical key point set, and a thermal key point set; perform frequency statistics screening based on the electrical key point set, the optical key point set, and the thermal key point set to obtain the N environmental key points.

[0009] Optionally, arrange and integrate the N multi-dimensional working data streams of the optical coupling device according to the time sequence information to obtain N time-sequence working data streams of the optical coupling device; define a data sliding window according to the sliding window mechanism, and the data sliding window includes a data window size and a data sliding step; perform traversal filtering processing and feature extraction on the N time-sequence working data streams of the optical coupling device based on the data sliding window to obtain an N working feature set of the optical coupling device.

[0010] Optionally, according to the characteristic information of the timing working data streams of the N optical coupling devices, determine N optical coupling device data filters; use the N optical coupling device data filters to filter the timing working data streams of the N optical coupling devices to obtain N standard timing working data streams of the optical coupling devices; based on the data sliding window, perform traversal and correlation feature extraction on the N standard timing working data streams of the optical coupling devices to obtain the working feature sets of the N optical coupling devices.

[0011] Optionally, collect and obtain the historical working data set of the optical coupling device, perform shunt identification on the historical working data set of the optical coupling device according to the stability evaluation index set to obtain the stability index data set of the optical coupling device; respectively perform evaluation training and verification optimization on the stability index data set of the optical coupling device to generate multiple optical coupling device stability evaluators; perform weighted fusion on the multiple optical coupling device stability evaluators to build the optical coupling device stability evaluation channel.

[0012] Optionally, evaluate the degree of stability influence of each point information in the N environmental key points to obtain N point stability influence factors; based on the N point stability influence factors, perform integrated analysis on the stability information of the N optical coupling devices to obtain the stability detection result of the optical coupling devices.

[0013] In a second aspect, the present application also provides a stability detection device for an optical coupling device, which is used to execute a stability detection method for an optical coupling device as described in the first aspect. Among them, the stability detection device for an optical coupling device includes: a sensor layout module, which is used to arrange N sensor groups in the working environment of the optical coupling device to be detected. Among them, the sensor group includes a temperature sensor, a current sensor, and an optical power sensor, and connect the sensor group to a data acquisition card; a working data acquisition module, which is used to determine a preset sampling frequency according to the working characteristics of the optical coupling device to be detected, and obtain the multi-dimensional working data streams of N optical coupling devices in real time through the data acquisition card according to the preset sampling frequency; a working feature determination module, which is used to filter and extract features from the multi-dimensional working data streams of the N optical coupling devices by using a sliding window mechanism to obtain the working feature sets of the N optical coupling devices; a stability evaluation module, which is used to build an optical coupling device stability evaluation channel, and perform stability evaluation on the working feature sets of the N optical coupling devices based on the optical coupling device stability evaluation channel to determine the stability information of the N optical coupling devices; an integrated analysis module, which is used to perform integrated analysis on the stability information of the N optical coupling devices to obtain the stability detection result of the optical coupling devices.

[0014] One or more technical solutions provided in the present application have at least the following beneficial effects:

[0015] By arranging N sensor groups in the working environment of the optical coupler to be detected, where each sensor group includes a temperature sensor, a current sensor, and an optical power sensor, and connecting the sensor groups to a data acquisition card; determining a preset sampling frequency according to the working characteristics of the optical coupler to be detected, and obtaining N multi-dimensional working data streams of the optical couplers in real time through the data acquisition card according to the preset sampling frequency; using a sliding window mechanism to filter and extract features from the N multi-dimensional working data streams of the optical couplers to obtain N working feature sets of the optical couplers; building a stability evaluation channel for the optical couplers, and performing stability evaluation on the N working feature sets of the optical couplers based on the stability evaluation channel for the optical couplers to determine N stability information of the optical couplers; performing integrated analysis on the N stability information of the optical couplers to obtain a stability detection result of the optical couplers. That is to say, by using multiple sensor groups to monitor the working conditions of the optical coupler in real time, capturing the dynamic response of the optical coupler under different loads, temperatures, etc., analyzing data in multiple dimensions, accurately capturing the performance fluctuations of the optical coupler under different working conditions, and improving the accuracy and comprehensiveness of the stability detection of the optical coupler.

[0016] The above description is only an overview of the technical solution of this application. In order to be able to understand the technical means of this application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features, and advantages of this application more obvious and understandable, the following specifically illustrates the specific embodiments of this application. It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of this application, nor is it used to limit the scope of this application. Other features of this application will become easily understood through the following description. Brief Description of the Drawings

[0017] In order to more clearly illustrate the technical solutions in this application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings described below are only exemplary, and for those of ordinary skill in the art, other drawings can be obtained according to the provided drawings without creative efforts.

[0018] Figure 1 It is a schematic flowchart of a method for detecting the stability of an optical coupler according to this application;

[0019] Figure 2 It is a schematic structural diagram of a device for detecting the stability of an optical coupler according to this application.

[0020] Description of the reference numerals: Sensor layout module 11, Working data acquisition module 12, Working feature determination module 13, Stability evaluation module 14, Integrated analysis module 15. Detailed Description of the Embodiments

[0021] By providing a method and a device for detecting the stability of an optical coupling device, the present application solves the technical problem in the prior art that the stability detection result is inaccurate because the optoelectronic performance of the optical coupling device has different characteristics under dynamic working conditions. By using multiple sensor groups to monitor the working conditions of the optical coupling device in real time, capturing the dynamic response of the optical coupling device under different conditions such as load and temperature, and analyzing data in multiple dimensions, the performance fluctuations of the optical coupling device under different working conditions are accurately captured, improving the accuracy and comprehensiveness of the stability detection of the optical coupling device.

[0022] Next, the technical solutions in the present application will be described clearly and completely with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. It should be understood that the present application is not limited by the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of the present application. Additionally, it should be noted that for the sake of description, only parts related to the present application are shown in the accompanying drawings rather than all.

[0023] Embodiment 1, please refer to the attached Figure 1 , the present application provides a method for detecting the stability of an optical coupling device. Among them, the method for detecting the stability of an optical coupling device is executed by a device for detecting the stability of an optical coupling device. The method for detecting the stability of an optical coupling device specifically includes the following steps:

[0024] S100: Arrange N sensor groups in the working environment of the optical coupling device to be detected. Among them, the sensor group includes a temperature sensor, a current sensor, and an optical power sensor, and connect the sensor group to a data acquisition card.

[0025] Further, S100 of the present application includes:

[0026] Obtain the threshold of the working performance parameters of the optical coupling device to be detected. According to the threshold of the working performance parameters, select the sensor type parameters and sensor specification parameters; perform sensor selection and integration based on the sensor type parameters and sensor specification parameters to obtain a working sensor group; identify key points in the layout information of the working environment according to the working elements of the optical coupling device to obtain N environmental key points; arrange the working sensor group at the N environmental key points in sequence to obtain the N sensor groups.

[0027] Determine the electrical working elements, optical working elements, and thermal working elements according to the working elements of the optical coupling device; use the electrical working elements, optical working elements, and thermal working elements to identify key points in the layout information of the working environment respectively, and obtain an electrical key point set, an optical key point set, and a thermal key point set; perform frequency statistics and screening based on the electrical key point set, optical key point set, and thermal key point set to obtain the N environmental key points.

[0028] Specifically, arrange N sensor groups in the working environment of the optical coupling device to be detected to monitor the dynamic working state of the optical coupling device to be detected. Each sensor group includes at least three different types of sensors, namely a temperature sensor, a current sensor, and an optical power sensor, which measure temperature, current, and optical power respectively.

[0029] Obtain the working performance parameter thresholds of the optical coupling device from the specification or historical operation data of the optical coupling device to be detected, that is, under the normal working state, the maximum or minimum physical quantities (such as temperature, current, optical power, etc.) that the optical coupling device can withstand in various environments and working conditions. According to the working performance parameter thresholds of the optical coupling device, select appropriate sensor types (such as temperature, current, optical power sensors) and sensor specification parameters (such as measurement range, accuracy, etc.). For example: if the working temperature range is from 20°C to 80°C, then select a temperature sensor with a measurement range from 0°C to 100°C. If the current range is from 5 mA to 15 mA, then select a current sensor suitable for this current range. If the optical power range is from 40 mW to 60 mW, then select an optical power sensor that can measure this power range.

[0030] According to the working performance parameter thresholds and sensor specification parameters, perform sensor selection and integration, select appropriate sensors, and combine them into a working sensor group to achieve comprehensive data collection and monitoring in the working environment of the optical coupling device. The working sensor group refers to the set of sensors finally configured and arranged in the working environment after sensor selection and integration, including temperature sensors, current sensors, and optical power sensors.

[0031] According to the working elements of the optical coupling device, identify the most important monitoring points in the working environment, usually the places where the temperature, current, and optical power of the optical coupling device change greatly. Specifically, according to the working characteristics of the optical coupling device to be detected, determine the electrical, optical, and thermal working elements. Among them, the electrical working elements include working voltage, current, power supply frequency, etc.; the optical working elements include optical power, optical wavelength, light intensity, etc.; the thermal working elements involve temperature, heat dissipation, heat flux density, etc.

[0032] Based on electrical working elements, optical working elements, and thermal working elements, identify the key points of layout information for the working environment, and determine the point sets corresponding to each working element. For example, for electrical working elements, the key points may be at the power input terminal, the part where the current flows through the circuit board, the grounding resistance, etc.; for optical working elements, the key points may be the optical transmission interfaces of optical coupling devices, fiber optic connection points, etc.; for thermal working elements, the key points may be at the heat sinks of optical coupling devices, heat sources, or positions with higher surface temperatures of the equipment.

[0033] Conduct frequency statistics on each key point identified through electrical, optical, and thermal elements, and count the occurrence frequency of each key point, especially those points that may affect the performance of the optical coupling device under multiple working conditions. Through statistical screening, find the key points that have the greatest impact on the equipment performance. Through frequency screening, finally obtain a set of environmental key points, and these positions will be used as the key areas for sensor arrangement. The N environmental key points are the areas that can best reflect the working state and performance changes of the equipment after screening, and are the places where the equipment performance changes most significantly. Special attention should be paid when arranging sensors. For example, if a certain point appears in the electrical, optical, and thermal key point sets, then this point is a very important environmental key point.

[0034] Arrange the selected working sensor groups in sequence on the N identified environmental key points to obtain N sensor groups. Each environmental key point will be equipped with a sensor group, and these sensors will work together to provide the working parameter data they monitor respectively. The sensor groups can collect various working parameters (such as current, voltage, temperature, and optical power) in real time, realizing all-round monitoring of the optical coupling device in terms of electricity, optics, and thermals, and ensuring the capture of potential performance decline or failure risks.

[0035] Connect all the sensor groups to the data acquisition card to ensure that the data collected by the sensors can be transmitted and stored in a timely manner. The data acquisition card (DAQ card) is an electronic device used to collect, convert, and store sensor data, converting the analog signals from temperature sensors, current sensors, and optical power sensors into digital signals. Through the combined arrangement of multiple sensors, comprehensively monitor the electrical, optical, and thermal states of the optical coupling device, ensure the accurate capture of parameter changes that may affect stability under various working environments, and monitor the working state of the optical coupling device in real time. If an abnormality occurs, a warning can be issued in a timely manner to avoid equipment failure or performance degradation.

[0036] S200: Determine the preset sampling frequency according to the working characteristics of the to-be-detected optical coupling device, and obtain N multi-dimensional working data streams of the optical coupling device in real time through the data acquisition card according to the preset sampling frequency.

[0037] Specifically, the appropriate sampling frequency is determined based on the working characteristics of the optical coupling device to be tested, that is, the operating characteristics of the optical coupling device to be tested in actual use, such as current fluctuations, temperature changes, optical signal strength, etc. during operation. The sampling frequency should be able to cover all key changes within the working cycle of the device. For example, if the current change cycle of the device is 10 milliseconds, the sampling frequency needs to be at least 100Hz to ensure that all changes are captured. If the working environment or the working characteristics of the equipment require higher-precision real-time monitoring (such as sensors with high-precision requirements, sensitive optical power changes, etc.), a higher sampling frequency may need to be set. The preset sampling frequency refers to a fixed time interval set according to the working characteristics of the optical coupling device, the requirements of the working environment, and the data accuracy requirements, which is used to control the frequency of data collection.

[0038] A data acquisition card (DAQ card) is used to collect the multi-dimensional working data stream of the optocoupler device in real time according to the preset sampling frequency, that is, the data stream collected by N sensor groups. All data streams (temperature, current, optical power) are aggregated into a whole multi-dimensional working data stream to obtain N multi-dimensional working data streams of the optocoupler device. The N multi-dimensional working data streams of the optocoupler device are data streams related to the working state of the optocoupler device and provided by multiple sensors. By setting a suitable sampling frequency, the working state changes of the optocoupler device can be accurately captured to avoid missing key data due to too low a sampling frequency. Combined with the real-time collection of multi-dimensional working data streams by the data acquisition card, accurate monitoring and evaluation of the stability state of the optocoupler device can be achieved.

[0039] S300: Using a sliding window mechanism to perform filtering processing and feature extraction on the multi-dimensional working data streams of the N optical coupling devices, to obtain working feature sets of the N optical coupling devices.

[0040] Further, the present application S300 includes:

[0041] The N optical coupling device multi-dimensional working data streams are arranged and integrated according to the timing information to obtain N optical coupling device timing working data streams; a data sliding window is defined according to a sliding window mechanism, and the data sliding window includes a data window size and a data sliding step; based on the data sliding window, the N optical coupling device timing working data streams are traversed and filtered and feature extracted to obtain N optical coupling device working feature sets.

[0042] Determine N optical coupler data filters according to the characteristic information of the timing working data streams of the N optical couplers; use the N optical coupler data filters to filter the timing working data streams of the N optical couplers to obtain N standard timing working data streams of optical couplers; based on the data sliding window, perform traversal correlation feature extraction on the N standard timing working data streams of optical couplers to obtain the working feature sets of the N optical couplers.

[0043] Specifically, when collecting the multi-dimensional working data streams of N optical couplers, there are timestamps. Sort the multi-dimensional working data streams of N optical couplers in chronological order to obtain the timing working data streams of N optical couplers. The sliding window mechanism is a method for processing time series data. By defining a window with a fixed length and sliding it over the sequence, the data within the window is intercepted and analyzed independently each time. The data sliding window includes the data window size and the data sliding step. The data window size is the number of data points included in one analysis or the time length covered, and the data sliding step is the distance (number of points or time) that the window moves each time.

[0044] Analyze the characteristic information of the timing working data streams of N optical couplers, that is, the statistical characteristics in the timing working data streams of optical couplers, such as mean, variance, spectral characteristics, etc. A data filter is an algorithm or tool used to reduce noise and interference in data and improve data quality. That is to say, analyze the characteristic information of the timing working data stream of each optical coupler, and select an appropriate filtering algorithm according to these characteristics. For example, if the noise in the data stream is mainly high-frequency noise, a low-pass filter can be selected to filter out this noise.

[0045] Input the timing working data streams of N optical couplers into the corresponding data filters for filtering, eliminate high-frequency noise, isolated pulses, and random errors, and output a smooth signal to obtain N standard timing working data streams of optical couplers. The N standard timing working data streams of optical couplers are smooth and noise-suppressed data sequences obtained after being processed by the filter, which not only retain the actual physical change trend but also eliminate measurement errors and interference.

[0046] For each standard optical coupler timing working data stream, subsequences are sequentially intercepted from the starting point to the ending point according to the data window size and data sliding compensation. In each window, correlation features of multi-dimensional data are calculated, such as calculating the correlation between two dimensions like temperature and optical power, current and optical power, etc.; the joint fluctuation amplitude of data in the same dimension is obtained through covariance calculation. The multi-dimensional correlation features of each window (such as three pairs of correlation coefficients + three pairs of covariances) are concatenated into a vector to form the correlation feature of this window. The feature vectors of all windows are summarized to obtain N working feature sets of optical couplers, which are used to describe how multi-dimensional physical quantities of the device interact with each other, so as to more accurately evaluate stability. As the window continuously slides, a series of feature vectors are cumulatively generated, and finally converge into the complete working feature set of the optical coupler.

[0047] By splitting the full time series into multiple overlapping segments through a sliding window, transient fluctuations and trend changes within a short time can be captured. The filtering step removes stray noise, but retains the statistical features and tiny trends of the signal, which helps to improve the accuracy of stability evaluation, thereby improving the reliability and performance of the optical coupler.

[0048] S400: Set up a stability evaluation channel for the optical coupler, and based on the stability evaluation channel for the N working feature sets of the optical couplers, determine the stability information of the N optical couplers.

[0049] Furthermore, S400 of this application includes:

[0050] Collect and obtain the historical working data set of the optical coupler, classify and label the historical working data set of the optical coupler according to the stability evaluation index set to obtain the stability index data set of the optical coupler; respectively evaluate, train and verify and optimize the stability index data set of the optical coupler to generate multiple optical coupler stability evaluators; perform weighted fusion on the multiple optical coupler stability evaluators to set up the stability evaluation channel for the optical coupler.

[0051] Specifically, obtaining the historical working data set of the optical coupler includes various operation parameters and status data collected by the optical coupler in the past period of time, including multi-dimensional sensor data (temperature, current, optical power, etc.), environmental information, fault records, maintenance logs, etc. The stability evaluation index set is a quantitative or qualitative index used to measure the stability of the optical coupler, such as response time, optical current fluctuation range, etc. According to the pre-set stability evaluation index, the data in the historical working data set is classified and labeled to obtain the stability index data set of the optical coupler. That is to say, the data in the historical working data set is classified according to the stability evaluation index to obtain the data set corresponding to each stability index.

[0052] The dataset is divided into a training set and a validation set, and evaluation models corresponding to each evaluation metric are constructed respectively. Each model is optimized through cross-validation, hyperparameter search, feature selection, etc. using the corresponding dataset, and finally the respective performance metrics (accuracy, precision, recall, AUC, etc.) are obtained on the validation set. According to the AUC value or accuracy of each evaluator on the validation set, fusion weights (the sum of the weights is 1) are assigned. That is, different weights are given according to the performance and reliability of each evaluator, and then multiple optical coupler stability evaluators are weighted and fused to complete the construction of the optical coupler stability evaluation channel, which can comprehensively consider the performance of multiple evaluators and improve the accuracy and reliability of stability evaluation.

[0053] The working characteristic sets of N optical couplers are input into the optical coupler stability evaluation channel, and the working characteristic sets of N optical couplers are input into the established stability evaluation channel. The evaluation channel will use the trained model to analyze the working characteristic sets of N optical couplers, predict the stability of each key environmental point, and then form the overall stability information of the optical coupler. The working characteristic sets of N optical couplers include multi-dimensional indicators (such as average temperature, current volatility, optical power correlation coefficient, etc.) and their time window identifiers. The stability information of N optical couplers is the stability of the optical coupler at N key environmental points. Each set of feature vectors is input into the stability evaluation channel, and the stability scores of each key point are output through multi-model parallel inference.

[0054] Through stability evaluation, the stability evaluation results of the optical coupler at N key environmental points are obtained, which helps to timely discover potential stability problems and improve the accuracy and efficiency of stability evaluation.

[0055] S500: Perform integrated analysis on the stability information of the N optical couplers to obtain the optical coupler stability detection result.

[0056] Furthermore, S500 of this application includes:

[0057] Evaluate the degree of influence on stability for each point information among the N key environmental points to obtain N point stability influence factors; based on the N point stability influence factors, perform integrated analysis on the stability information of the N optical couplers to obtain the optical coupler stability detection result.

[0058] Specifically, the stability information of N opto-couplers is integrated and analyzed. The integrated analysis refers to combining the stability evaluation results of multiple environmentally critical points and obtaining the stability detection result of the opto-coupler through weighted calculation. Analyze the influence of N environmentally critical points on the stability of the opto-coupler to obtain the stability influence factors of the N points. The stability influence factor is an index that measures the degree of influence of an environmentally critical point on the stability of the opto-coupler. Usually, it is a numerical value that reflects the importance or contribution of the environmental conditions at that point to the stability of the opto-coupler. Collect the environmental parameter data of each point, such as temperature, humidity, power supply fluctuation, electromagnetic noise, dust concentration, etc. Through correlation analysis or regression modeling of multi-dimensional environmental parameters and the historical data of opto-coupler stability, quantify the degree of influence of the point on the stability of the opto-coupler.

[0059] Combine the stability influence factor of each point with the corresponding stability information of the opto-coupler. According to the stability influence factor of each point, perform weighted calculation on the stability information under each environmental condition, which is achieved by multiplying the stability information of each point by its corresponding stability influence factor. Obtain the stability detection result of the opto-coupler. For example, if the stability influence factor of a point is large, then the stability information under that point will be given a higher weight. Through integrated analysis, a comprehensive evaluation of the stability of the opto-coupler is realized. Considering the degree of influence of different environmental conditions on the device stability helps to accurately evaluate the device stability, thereby improving the reliability and performance of the opto-coupler.

[0060] In summary, the stability detection method for an opto-coupler provided by this application has the following beneficial effects:

[0061] By arranging N sensor groups in the working environment of the optical coupler to be detected, where each sensor group includes a temperature sensor, a current sensor, and an optical power sensor, and connecting the sensor groups to a data acquisition card; determining a preset sampling frequency according to the working characteristics of the optical coupler to be detected, and obtaining N multi-dimensional working data streams of the optical couplers in real time through the data acquisition card at the preset sampling frequency; using a sliding window mechanism to filter and extract features from the N multi-dimensional working data streams of the optical couplers to obtain a working feature set of the N optical couplers; building a stability evaluation channel for the optical couplers, and based on the stability evaluation channel for the optical couplers, evaluating the stability of the working feature set of the N optical couplers to determine the stability information of the N optical couplers; performing integrated analysis on the stability information of the N optical couplers to obtain a stability detection result of the optical couplers. That is to say, by using multiple sensor groups to monitor the working conditions of the optical couplers in real time, capturing the dynamic responses of the optical couplers under different loads, temperatures, etc., analyzing data in multiple dimensions, accurately capturing the performance fluctuations of the optical couplers under different working conditions, and improving the accuracy and comprehensiveness of the stability detection of the optical couplers.

[0062] Embodiment 2. Based on the same inventive concept as the stability detection method of an optical coupler in the foregoing Embodiment 1, the present application also provides a stability detection device for an optical coupler. Please refer to the attached Figure 2 , the stability detection device for an optical coupler includes:

[0063] A sensor layout module 11, configured to arrange N sensor groups in the working environment of the optical coupler to be detected, where each sensor group includes a temperature sensor, a current sensor, and an optical power sensor, and connect the sensor groups to a data acquisition card; a working data acquisition module 12, configured to determine a preset sampling frequency according to the working characteristics of the optical coupler to be detected, and obtain N multi-dimensional working data streams of the optical couplers in real time through the data acquisition card at the preset sampling frequency; a working feature determination module 13, configured to use a sliding window mechanism to filter and extract features from the N multi-dimensional working data streams of the optical couplers to obtain a working feature set of the N optical couplers; a stability evaluation module 14, configured to build a stability evaluation channel for the optical couplers, and based on the stability evaluation channel for the optical couplers, evaluate the stability of the working feature set of the N optical couplers to determine the stability information of the N optical couplers; an integrated analysis module 15, configured to perform integrated analysis on the stability information of the N optical couplers to obtain a stability detection result of the optical couplers.

[0064] Further, the sensor layout module 11 in the stability detection device for an optical coupler is further configured to:

[0065] Obtain the working performance parameter thresholds of the optical coupling device to be detected, and select sensor type parameters and sensor specification parameters according to the working performance parameter thresholds; perform sensor selection and integration based on the sensor type parameters and sensor specification parameters to obtain a working sensor group; identify key points in the layout information of the working environment according to the working elements of the optical coupling device to obtain N environmental key points; arrange the working sensor group on the N environmental key points in sequence to obtain the N sensor groups.

[0066] Furthermore, the sensor layout module 11 in the stability detection device of the optical coupling device is further configured to:

[0067] Determine electrical working elements, optical working elements, and thermal working elements according to the working elements of the optical coupling device; use the electrical working elements, optical working elements, and thermal working elements to identify key points in the layout information of the working environment respectively to obtain an electrical key point set, an optical key point set, and a thermal key point set; perform frequency statistics and screening based on the electrical key point set, the optical key point set, and the thermal key point set to obtain the N environmental key points.

[0068] Furthermore, the working characteristic determination module 13 in the stability detection device of the optical coupling device is further configured to:

[0069] Arrange and integrate the N multi-dimensional working data streams of the optical coupling devices according to the timing information to obtain N timing working data streams of the optical coupling devices; define a data sliding window according to the sliding window mechanism, and the data sliding window includes a data window size and a data sliding step; perform traversal filtering processing and feature extraction on the N timing working data streams of the optical coupling devices based on the data sliding window to obtain N working characteristic sets of the optical coupling devices.

[0070] Furthermore, the working characteristic determination module 13 in the stability detection device of the optical coupling device is further configured to:

[0071] Determine N data filters for the optical coupling devices according to the characteristic information of the N timing working data streams of the optical coupling devices; use the N data filters for the optical coupling devices to perform filtering processing on the N timing working data streams of the optical coupling devices to obtain N standard timing working data streams of the optical coupling devices; perform traversal and correlation feature extraction on the N standard timing working data streams of the optical coupling devices based on the data sliding window to obtain the N working characteristic sets of the optical coupling devices.

[0072] Furthermore, the stability evaluation module 14 in the stability detection device of the optical coupling device is further configured to:

[0073] Collect and obtain the historical working data set of the optical coupling device, and perform shunt identification on the historical working data set of the optical coupling device according to the stability evaluation index set to obtain the optical coupling device stability index data set; separately evaluate, train, verify and optimize the optical coupling device stability index data set to generate multiple optical coupling device stability evaluators; perform weighted fusion on the multiple optical coupling device stability evaluators to build the optical coupling device stability evaluation channel.

[0074] Further, the integration analysis module 15 in the stability detection device of an optical coupling device is further configured to:

[0075] Evaluate the degree of stability influence of each point information in the N environmental key points to obtain N point stability influence factors; based on the N point stability influence factors, perform integration analysis on the N optical coupling device stability information to obtain the optical coupling device stability detection result.

[0076] In the present specification, each embodiment is described in a progressive manner, and the key point of each embodiment is to illustrate the differences from other embodiments. The Figure 1 The stability detection method and specific example of an optical coupling device in the first embodiment are equally applicable to the stability detection device of an optical coupling device in this embodiment. Through the detailed description of the stability detection method of an optical coupling device above, those skilled in the art can clearly know the stability detection device of an optical coupling device in this embodiment. Therefore, for the sake of simplicity of the specification, it will not be described in detail here.

[0077] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0078] Obviously, for those skilled in the art, without departing from the principle of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the protection scope of the present application.

Claims

1. A method for detecting the stability of an optical coupling device, characterized in that, Including: Arrange N sensor groups in the working environment of the optical coupler to be detected. Among them, each sensor group includes a temperature sensor, a current sensor, and an optical power sensor, and connect the sensor groups to a data acquisition card; According to the working characteristics of the optical coupler to be detected, determine a preset sampling frequency, and use the data acquisition card to obtain N multi-dimensional working data streams of the optical couplers in real time according to the preset sampling frequency; Adopt a sliding window mechanism to filter and extract features from the N multi-dimensional working data streams of the optical couplers, and obtain N working feature sets of the optical couplers; Build a stability evaluation channel for the optical couplers, and based on the stability evaluation channel for the N working feature sets of the optical couplers, determine the stability information of the N optical couplers; Perform integrated analysis on the stability information of the N optical couplers to obtain the stability detection result of the optical couplers.

2. The stability detection method of an optical coupling device according to claim 1, characterized in that The arranging N sensor groups in the working environment of the optical coupler to be detected includes: Obtain the threshold of the working performance parameters of the optical coupler to be detected, and select the sensor type parameters and sensor specification parameters according to the working performance parameter threshold; Perform sensor selection integration based on the sensor type parameters and sensor specification parameters to obtain a working sensor group; Identify key points in the layout information of the working environment according to the working elements of the optical coupler to obtain N environmental key points; Arrange the working sensor group at the N environmental key points in sequence to obtain the N sensor groups.

3. The stability detection method of an optical coupling device as described in claim 2, wherein The obtaining of the N environmental key points includes: According to the working elements of the optical coupler, determine the electrical working elements, optical working elements, and thermal working elements; Use the electrical working elements, optical working elements, and thermal working elements to identify key points in the layout information of the working environment respectively, and obtain an electrical key point set, an optical key point set, and a thermal key point set; Perform frequency statistics and screening based on the electrical key point set, the optical key point set, and the thermal key point set to obtain the N environmental key points.

4. The stability detection method of an optical coupling device according to claim 1, characterized in that, The obtaining of the N working feature sets of the optical couplers includes: Arrange and integrate the N multi-dimensional working data streams of the optical couplers according to the time sequence information to obtain N time-sequence working data streams of the optical couplers; Define a data sliding window according to the sliding window mechanism, and the data sliding window includes the data window size and the data sliding step; Based on the data sliding window, perform traversal filtering and feature extraction on the N time-sequence working data streams of the optical couplers to obtain N working feature sets of the optical couplers.

5. The stability detection method of an optical coupling device as described in claim 4, characterized in that, The obtaining of the N working feature sets of the optical couplers includes: According to the characteristic information of the N time-sequence working data streams of the optical couplers, determine N data filters for the optical couplers; Use the N data filters for the optical couplers to filter the N time-sequence working data streams of the optical couplers to obtain N standard time-sequence working data streams of the optical couplers; Traverse and extract correlation features from the timing working data streams of the N standard optical couplers based on the data sliding window to obtain the working feature sets of the N optical couplers.

6. The stability detection method of an optical coupling device according to claim 1, characterized in that, The building of the stability evaluation channel for the optical coupler includes: Collect and obtain the historical working data set of the optical coupler, and perform shunt identification on the historical working data set of the optical coupler according to the stability evaluation index set to obtain the stability index data set of the optical coupler; Respectively perform evaluation training and verification optimization on the stability index data set of the optical coupler to generate multiple stability evaluators for the optical coupler; Perform weighted fusion on the multiple stability evaluators for the optical coupler to build the stability evaluation channel for the optical coupler.

7. The stability detection method of an optical coupling device according to claim 2, characterized in that, The obtaining of the stability detection result of the optical coupler includes: Evaluate the degree of stability influence of each point information in the N key environmental points to obtain N point stability influence factors; Based on the N point stability influence factors, perform integrated analysis on the stability information of the N optical couplers to obtain the stability detection result of the optical couplers.

8. A stability detection device for an optical coupling device, characterized in that, Steps for implementing the stability detection method of an optical coupler according to any one of claims 1 to 7, the stability detection device for an optical coupler includes: A sensor layout module, configured to arrange N sensor groups in the working environment of the optical coupler to be detected, where the sensor group includes a temperature sensor, a current sensor, and an optical power sensor, and connect the sensor group to a data acquisition card; A working data acquisition module, configured to determine a preset sampling frequency according to the working characteristics of the optical coupler to be detected, and obtain the multi-dimensional working data streams of the N optical couplers in real time through the data acquisition card according to the preset sampling frequency; A working feature determination module, configured to perform filtering processing and feature extraction on the multi-dimensional working data streams of the N optical couplers by using a sliding window mechanism to obtain the working feature sets of the N optical couplers; A stability evaluation module, configured to build a stability evaluation channel for the optical coupler, and perform stability evaluation on the working feature sets of the N optical couplers based on the stability evaluation channel for the optical coupler to determine the stability information of the N optical couplers; An integrated analysis module, configured to perform integrated analysis on the stability information of the N optical couplers to obtain the stability detection result of the optical coupler.

Images