Optical test method and device based on wavelength tunable light source

Abstract

The invention relates to the technical field of light source testing, and discloses an optical testing method and device based on a wavelength tunable light source, the technical specifications of the light source to be tested are collected to determine key performance distribution characteristics, and environmental interference effect distribution characteristics are obtained by simulating the influence of environmental interference for each key performance node; according to the method, the light source to be tested receives the interference pressure of the test environment through systematic performance analysis and environment simulation, the performance conversion effect characteristic is obtained, a test scheme is formulated by combining the environment interference effect and the performance conversion effect, environment interference and operation parameters are applied to the light source to be tested, and an optical test is carried out to obtain a feedback result. And continuous multiple light source tests with different performance parameters are carried out, so that potential flaws of the light source can be detected with higher precision, and the problem that the test effect of a static measurement method on the dynamic performance of the light source is poor is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of light source testing, and in particular to an optical testing method and device based on a wavelength tunable light source. Background Art

[0002] With the advancement of light source technology, especially the widespread application of wavelength tunable light sources, light source performance testing technology is also constantly developing. Traditional testing methods mainly rely on static measurements and cannot adapt to dynamic environments and changing operating conditions. In optoelectronic equipment, communications, medical and other fields, changes in environmental conditions will directly affect the output stability and light quality of the light source. Therefore, simulation processing of environmental interference becomes particularly important. Summary of the invention

[0003] The purpose of the present invention is to provide an optical testing method and device based on a wavelength tunable light source, aiming to solve the problem that static measurement methods in the prior art have poor testing effect on the dynamic performance of light sources.

[0004] The present invention is implemented in this way. In a first aspect, the present invention provides an optical testing method based on a wavelength tunable light source, comprising: Acquire specification information of the light source to be tested, and perform performance analysis processing on the light source to be tested according to the specification information to obtain key performance distribution characteristics of the light source to be tested; wherein the key performance distribution characteristics include a number of key performance nodes; Performing environmental interference effect simulation processing on each of the key performance nodes to obtain distribution characteristics of the environmental interference effect of each of the key performance nodes; Performing a performance conversion effect simulation process on each of the key performance nodes to obtain performance conversion effect characteristics between each of the key performance nodes; Generating a test scheme for the key performance distribution characteristics according to the environmental interference effect distribution characteristics and the performance conversion effect characteristics, and obtaining an optical test scheme corresponding to each of the key performance nodes; According to the optical test scheme, environmental interference and operating parameters are applied to the light source to be tested, and the light source to be tested is subjected to an optical test to obtain a test data set of the light source to be tested in the optical test; wherein the test data set is used to provide performance feedback to the light source to be tested.

[0005] In a second aspect, the present invention provides an optical testing method device based on a wavelength tunable light source, which is used to implement an optical testing method based on a wavelength tunable light source as described in any one of the first aspects.

[0006] The present invention provides an optical testing method based on a wavelength tunable light source, which has the following beneficial effects: The present invention collects technical specifications of a light source to be tested to determine key performance distribution characteristics, simulates the influence of environmental interference on each key performance node to obtain environmental interference effect distribution characteristics, obtains performance conversion effect characteristics, and formulates a test plan in combination with environmental interference effect and performance conversion effect, so as to impose environmental interference and operating parameters on the light source to be tested, and perform optical testing to obtain feedback results. Through systematic performance analysis and environmental simulation, the method allows the light source to be tested to accept the interference pressure of the test environment, and continuously tests the light source with different performance parameters for multiple times, thereby detecting potential defects of the light source with higher accuracy, and solving the problem that static measurement methods have poor testing effect on the dynamic performance of the light source. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] Figure 1 It is a schematic diagram of the steps of an optical testing method based on a wavelength tunable light source provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0008] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0009] The implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0010] Reference Figure 1 As shown, a preferred embodiment of the present invention is provided.

[0011] In a first aspect, the present invention provides an optical testing method based on a wavelength tunable light source, comprising: S1: Obtain specification information of a light source to be tested, and perform performance analysis on the light source to be tested according to the specification information to obtain key performance distribution characteristics of the light source to be tested; wherein the key performance distribution characteristics include a number of key performance nodes; S2: performing environmental interference effect simulation processing on each of the key performance nodes to obtain distribution characteristics of the environmental interference effect of each of the key performance nodes; S3: performing a performance conversion effect simulation process on each of the key performance nodes to obtain performance conversion effect characteristics between each of the key performance nodes; S4: generating a test scheme for the key performance distribution characteristics according to the environmental interference effect distribution characteristics and the performance conversion effect characteristics, and obtaining an optical test scheme corresponding to each of the key performance nodes; S5: applying environmental interference and operating parameters to the light source to be tested according to the optical test scheme, and subjecting the light source to be tested to an optical test to obtain a test data set of the light source to be tested in the optical test; wherein the test data set is used to provide performance feedback to the light source to be tested.

[0012] Specifically, in step S1 of the embodiment provided by the present invention, the model, type, and parameters of the light source are recorded to obtain the technical specifications of the light source, mainly including: wavelength range (for example: 400-700 nm), output power (for example: maximum power, typical power), beam quality (for example: M² value), beam divergence angle (for example: full angle and half angle), operating voltage and current, life and reliability indicators, temperature range and thermal management characteristics.

[0013] More specifically, optical and electrical theories are used to establish a performance model of the light source to be tested. The working characteristics and environmental conditions of the light source are taken into consideration, and the key nodes that affect the performance of the light source are determined, including representative data nodes in various performances of the light source. The data of each key performance node is visualized, and a corresponding performance distribution diagram is generated, so that the test nodes for the light source to be tested can be selected based on the key performance nodes.

[0014] It can be understood that through performance analysis, the performance of the light source under different node data is evaluated, the specification information of the light source to be tested is systematically obtained, and its performance is effectively analyzed, laying the foundation for subsequent testing and application.

[0015] Specifically, in step S2 of the embodiment provided by the present invention, environmental factors that may affect the performance of the light source are identified, including: temperature changes: such as changes in operating temperature and ambient temperature, humidity: the impact of rise and fall of air humidity on the light source, vibration: the impact of external vibration on the stability of the light source, electromagnetic interference: the impact of electromagnetic field changes on the performance of the light source, dust and pollution: the impact of particulate matter in the environment on the output of the light source.

[0016] More specifically, a model was established using numerical simulation software. According to the characteristics of key performance nodes, relevant parameters and environmental conditions were input into the model to define the range of variation of various environmental factors, such as temperature variation from -10°C to +50°C and humidity from 20% to 80%. According to the set environmental conditions, multiple simulation calculations were performed to observe the changes of key performance nodes under different environmental conditions, and the output results of each simulation were recorded, with a focus on the numerical changes of key performance nodes, such as output power, spectral characteristics, divergence angle, etc.

[0017] More specifically, the simulation results are analyzed to identify the performance of each key performance node when affected by environmental interference. Statistical analysis methods (such as linear regression and variance analysis) are used to evaluate the impact of different environmental factors on performance. The analysis results are visualized to generate distribution characteristic maps of environmental interference effects, such as heat maps and 3D charts, to show performance changes under different environmental conditions.

[0018] More specifically, the environmental interference effects of each key performance node are summarized, including the degree of impact, change trends, etc., and suggestions and improvement measures for environmental interference are provided to improve the stability and reliability of the light source.

[0019] It can be understood that by analyzing the effect of environmental interference, the test environment with the greatest interference effect can be evaluated for subsequent use in testing the light source to be tested, thereby applying test pressure to the light source to be tested through the environment and more easily revealing possible defects in the light source.

[0020] Specifically, in step S3 of the embodiment provided by the present invention, key performance nodes that need to be analyzed are determined, each key performance node is an operating parameter state of the light source to be tested, a conversion relationship model between different performance nodes is established, and it is determined how different performance outputs are affected by specific inputs (such as current, voltage, temperature, etc.).

[0021] More specifically, mathematical models or empirical formulas are used to describe the interaction between nodes, appropriate numerical simulation tools are selected, and a simulation platform for performance conversion is constructed. In the simulation platform, the initial state and parameters of each performance node are input, different input conditions (current, temperature, etc.) are set, and the simulation is run multiple times under different conditions to observe the changes in the key performance nodes of the light source to be tested. The output results of each simulation are recorded, with special attention paid to the numerical changes in performance conversion, such as the relationship between light output power and input current.

[0022] More specifically, the simulation results are statistically analyzed to identify and summarize the conversion characteristics between performance nodes, evaluate the impact of different input conditions on each performance node, generate conversion rates and response curves, and use charts, graphs, heat maps, etc. to visualize the performance conversion characteristics and intuitively display the relationship between each node.

[0023] It can be understood that the light source to be tested has a pair of key performance nodes. When the light source to be tested is tested on multiple key performance nodes continuously, switching between different key performance nodes will bring different degrees of test to the device performance of the light source to be tested, so that multiple consecutive key performance nodes can be selected that can exert more test pressure on the light source to be tested and test out potential defects of the light source to be tested.

[0024] Specifically, in step S4 of the embodiment provided by the present invention, the environmental interference effect distribution feature feeds back the influence of the test environment on the light source to be tested, that is, what kind of test environment can apply appropriate test pressure to the light source to be tested, so that a qualified light source to be tested can complete the test, and a defective light source to be tested can expose its performance defects; the purpose of the performance conversion effect feature is consistent with the environmental interference effect distribution feature. The performance conversion effect feature starts from the performance parameters of the test performance of the light source to be tested, and estimates the test pressure brought to the light source to be tested by the change relationship between each performance parameter of the continuous test of the light source to be tested, that is, the light source to be tested is tested for multiple consecutive times, and each test puts the light source to be tested at different performance parameters. Since it is multiple consecutive tests, the light source to be tested needs to be converted at different performance parameters. This conversion will apply appropriate test pressure to the light source to be tested, so that a qualified light source to be tested can complete the test, and a defective light source to be tested can expose its performance defects.

[0025] More specifically, a test scheme is generated for key performance distribution characteristics according to the distribution characteristics of environmental interference effects and the performance conversion effect characteristics, and an optical test scheme corresponding to each key performance node is obtained. That is, the influence of environmental interference and performance parameter conversion on the light source to be tested is considered at the same time, and the test environment and test parameters are determined.

[0026] More specifically, the test steps include preprocessing steps (such as equipment calibration, environmental adaptation), test condition settings (such as light source type, wavelength, input current, temperature setting, etc.), data acquisition methods (such as data recording frequency, sampling method), specifying corresponding compensation schemes to compensate for interference effects, and considering the impact of environmental interference on test results, such as: using a phase interferometer for compensation and selecting appropriate filters to reduce interference.

[0027] Specifically, in step S5 of the embodiment provided by the present invention, ensure that the test environment is suitable for optical testing, such as an interference-free room or an optical laboratory, avoid interference from external light sources and noise, install and calibrate test equipment, including spectrometers, power meters, temperature control equipment, etc., ensure that their performance meets the test requirements, ensure that the light source to be tested (such as lasers, LEDs, etc.) is in good working condition, and perform necessary preprocessing.

[0028] More specifically, determine the initial operating parameters of the light source to be tested, such as input current, voltage, temperature, etc., and design specific environmental interference conditions according to the test plan, for example: control the position and material of reflective objects around the light source, adjust the beam path and incident angle of the light source, monitor and record environmental conditions (such as temperature, humidity, air pressure, etc.) and the working status of the light source to ensure the consistency of the experiment.

[0029] More specifically, different operating parameters are gradually applied according to the test plan, and the output characteristics of the light source under each parameter are recorded. For example, the input current is changed, the output light power is observed to change, the temperature is adjusted, the spectral characteristics are measured to change, optical tests are performed according to the established test steps, data is recorded in real time, and a data acquisition system is used to record the test data set, including output power, spectral distribution, wavelength stability, etc.

[0030] More specifically, all test results are organized into a data set to form a systematic test record, the test data is analyzed, the performance of the light source to be tested is evaluated, the interference effects and the specific effects of operating parameters on the performance are identified, the test results are compared with the expected performance standards, the actual performance of the light source to be tested is evaluated, and a feedback report is written based on the test results, pointing out the performance of the light source to be tested under different test conditions, including its strengths and weaknesses.

[0031] It is understandable that by applying environmental interference and different operating parameters, the performance characteristics of the light source to be tested can be comprehensively evaluated to obtain more accurate performance feedback. Through a quantified set of test data, in-depth data analysis can be performed to reveal the performance change patterns of the light source to be tested under different conditions. Through environmental interference and continuous collection of tests with different performance parameters, a double layer of performance pressure is applied to the light source to be tested to expose potential defects in the light source to be tested and improve the test accuracy of the light source to be tested.

[0032] The present invention provides an optical testing method based on a wavelength tunable light source, which has the following beneficial effects: The present invention collects technical specifications of a light source to be tested to determine key performance distribution characteristics, simulates the influence of environmental interference on each key performance node to obtain environmental interference effect distribution characteristics, obtains performance conversion effect characteristics, and formulates a test plan in combination with environmental interference effect and performance conversion effect, so as to impose environmental interference and operating parameters on the light source to be tested, and perform optical testing to obtain feedback results. Through systematic performance analysis and environmental simulation, the method allows the light source to be tested to accept the interference pressure of the test environment, and continuously tests the light source with different performance parameters for multiple times, thereby detecting potential defects of the light source with higher accuracy, and solving the problem that static measurement methods have poor testing effect on the dynamic performance of the light source.

[0033] Preferably, the step of acquiring specification information of the light source to be tested, and performing performance analysis processing on the light source to be tested according to the specification information to obtain key performance distribution characteristics of the light source to be tested includes: S11: Obtain specification information of the light source to be tested; wherein the specification information includes index information of several performance items, and the performance items include wavelength range, output power, spectral characteristics, operating temperature range, modulation frequency and phase noise; S12: extracting key data features from the indicator information of each performance item respectively to obtain a key indicator data set corresponding to each performance item; wherein the key indicator data set includes a plurality of key indicator data of the performance item; S13: Analyzing the collaborative correlation degree of each of the key indicator data sets to obtain collaborative correlation features of each of the key indicator data sets; wherein the collaborative correlation features are used to describe the possibility of collaborative work between each of the key indicator data in each of the key indicator data sets; S14: performing data combination processing on each of the key indicator data sets according to the collaborative association characteristics to obtain a number of key performance nodes; S15: Combining the key performance nodes to obtain the key performance distribution characteristics.

[0034] Specifically, collect all specification information of the light source to be tested to ensure the completeness and accuracy of the information. The specification information should include indicator information of the following performance items: wavelength range: the wavelength range of the light emitted by the light source (for example, 400-700 nm), output power: the maximum output power of the light source (for example, 5 mW), spectral characteristics: including information such as spectral width and peak wavelength, operating temperature range: the ambient temperature range in which the light source can work stably (for example, -20°C to +60°C), modulation frequency: the modulation capability of the light source (for example, 1 kHz to 100 MHz), phase noise: the phase noise characteristics of the output signal of the light source (for example, -90dBc / Hz).

[0035] More specifically, for each performance item, extract its key indicator data to form a key indicator data set, which can be achieved through the following methods: wavelength range: record the minimum and maximum wavelengths and peak wavelengths, output power: measure the output power under different working conditions, spectral characteristics: obtain the spectral distribution diagram, and extract full width half height, peak value and other data, operating temperature range: record the performance at different temperatures, modulation frequency: determine the modulation effect of the light source at different frequencies, phase noise: obtain the phase noise curve and identify key parameters.

[0036] More specifically, the correlation between each key indicator data set is analyzed, and the synergistic correlation degree is calculated using statistical methods or machine learning algorithms (such as Pearson correlation coefficient, mutual information, etc.) to describe the synergistic working potential between each key indicator data, such as how the change of a certain indicator affects the performance of other indicators. According to the synergistic correlation characteristics, the combination method of each key indicator data set is determined to form several key performance nodes. Each key performance node should reflect the synergistic effect of different indicators. For example, the combination of output power and modulation frequency forms a key performance node, which represents the output power performance at a specific frequency.

[0037] More specifically, a key performance node includes specific parameters of multiple performance items, that is, a specific parameter is specified for each performance item of the light source to be tested, and these specific parameters are integrated together as a key performance node.

[0038] More specifically, the obtained key performance nodes are combined to form a final key performance distribution feature, which should cover the overall performance of the light source to facilitate subsequent analysis and application.

[0039] It is understandable that by extracting and analyzing key indicator data, the performance of the light source to be tested can be comprehensively evaluated to ensure that all indicators are fully considered. The synergistic correlation analysis can reveal the mutual influence between different performance items and help understand the performance of the light source in practical applications. The combination of key performance nodes provides a basis for the optimal design of the light source, which can guide the R&D team to improve the design and control strategy of the light source. Through the understanding of the key performance distribution characteristics, more reasonable use and maintenance strategies can be formulated, thereby improving the reliability and stability of the light source.

[0040] Preferably, the step of simulating the effect of environmental interference on each of the key performance nodes to obtain the distribution characteristics of the environmental interference effect of each of the key performance nodes includes: S21: Analyze and process the applicable scenarios of the light source to be tested according to the specification information to obtain several applicable scenarios of the light source to be tested; wherein the applicable scenarios of the light source include scene types and scene specific parameters; S22: analyzing and processing the environmental interference items of the light source to be tested according to the applicable scenario of the light source, so as to obtain a plurality of environmental interference items of the light source to be tested corresponding to the applicable scenario of the light source; S23: performing a project mapping simulation process on the key performance node according to the environmental interference project to obtain the environmental interference effect of different project degree parameters of the key performance node corresponding to the environmental interference project; S24: combining and processing the environmental interference effects of different project degree parameters of the environmental interference project corresponding to the key performance node to obtain the project interference effect distribution characteristics of the key performance node corresponding to the environmental interference project; S25: Combining and processing the project interference effect distribution characteristics of each of the environmental interference items corresponding to the key performance node to obtain the environmental interference effect distribution characteristics of the key performance node.

[0041] Specifically, based on the specification information of the light source to be tested, its applicable scenarios are analyzed, and factors such as the wavelength, power, and spectral characteristics of the light source are considered to determine the application of the light source in different environments. Several applicable scenarios for the light source are determined, including: scene type: such as indoor lighting, outdoor lighting, industrial applications, medical applications, etc., scene specific parameters: such as the ambient temperature, humidity, light intensity, background noise, etc. of the light source.

[0042] More specifically, for each light source application scenario, analyze the environmental interference items that may affect the performance of the light source. Common environmental interference items include: temperature change: the impact of ambient temperature on the output of the light source, humidity impact: the impact of humidity on the spectral characteristics and stability of the light source, vibration interference: the impact of external vibration on the performance of the light source, electromagnetic interference: the impact of electromagnetic fields on the electronic components of the light source, and generate a list of environmental interference items for subsequent analysis and simulation.

[0043] More specifically, according to the environmental interference items, a mapping relationship between key performance nodes and environmental interference items is established, for example, how temperature changes affect output power, how humidity changes affect spectral width, etc., and each key performance node is simulated for environmental interference items to obtain environmental interference effects of different project degree parameters. For example: measuring output power changes at different temperatures, and recording spectral characteristic changes under different humidity conditions.

[0044] More specifically, the effects of key performance nodes under different environmental interference items are combined to form the project interference effect distribution characteristics of each key performance node corresponding to the environmental interference item. This can be achieved through weighted average or multivariate analysis methods. For example, the effects of temperature change and humidity influence are synthesized to obtain a comprehensive environmental interference effect.

[0045] More specifically, the project interference effect distribution characteristics of all key performance nodes corresponding to each environmental interference item are combined to obtain the final environmental interference effect distribution characteristics of the key performance nodes, which are used to describe how the distribution characteristics affect the stability and reliability of the light source in practical applications.

[0046] It is understandable that through the analysis of applicable scenarios and environmental interference projects, the impact of environmental factors on light source performance can be comprehensively evaluated to provide a basis for subsequent optimization design. Through simulation and combined processing, the specific impact of different environmental interferences on key performance nodes can be quantified to provide data support for performance optimization. The distribution characteristics of the environmental interference effects obtained can guide the application of light sources in real environments and ensure that their performance meets the expected standards. By understanding the impact of environmental interference, more reasonable use and maintenance strategies can be formulated to improve the reliability and stability of light sources.

[0047] Preferably, the step of simulating the effect of performance conversion of each of the key performance nodes to obtain the performance conversion effect characteristics between each of the key performance nodes includes: S31: performing digital simulation of the light source state on each of the key performance nodes to obtain a digital model of the light source state corresponding to each of the key performance nodes; S32: using one of the light source state digital models as a benchmark unit and the remaining light source state digital models as reference units, performing conversion simulation analysis on the benchmark unit and each of the reference units to obtain state conversion characteristics between the benchmark unit and each of the reference units; S33: performing a performance pressure simulation analysis of the light source to be tested during the light source execution conversion process according to the state conversion characteristics, so as to obtain a performance pressure parameter of the light source to be tested corresponding to the state conversion characteristics; S34: evaluating the test effect of the performance conversion from the benchmark unit to the reference unit according to the performance pressure parameter, and obtaining a performance conversion effect characteristic corresponding to the performance conversion from the benchmark unit to the reference unit; S35: executing the above steps with each of the light source state digital models as reference units respectively, to obtain performance conversion effect characteristics corresponding to the performance conversion of each of the light source state digital models to the remaining light source state digital models.

[0048] Specifically, the key performance nodes of the light source to be tested are determined, each key performance node is digitally simulated, and the corresponding digital models of the light source state are constructed. These models should be able to accurately reflect the performance characteristics of the light source under different states.

[0049] More specifically, a model is selected from the constructed digital model of the light source state as a benchmark unit, which represents the standard operating state of the light source. The remaining digital models of the light source state are used as reference units, which represent different performance states or working conditions. The benchmark unit and each reference unit are subjected to state transition simulation analysis. The performance changes of the benchmark unit under different reference unit conditions are evaluated through numerical simulation or other algorithms. The state changes between the benchmark unit and each reference unit are recorded and analyzed, and the state transition characteristics are extracted.

[0050] More specifically, based on the extracted state transition characteristics, a performance stress simulation analysis is performed on the light source to be tested, its performance under different conversion conditions is evaluated, and the performance stress parameters of the light source to be tested during the conversion process are calculated, taking into account the impact on the output, efficiency and stability. Based on the performance stress parameters, the performance conversion effect from the benchmark unit to the reference unit is evaluated, the effectiveness and stability of the performance conversion are judged, and a performance conversion effect characteristic report from the benchmark unit to the reference unit is formed, including indicators such as conversion efficiency, stability, and reliability.

[0051] More specifically, each light source state digital model is used as a reference unit, and the above steps are performed to obtain the performance conversion effect characteristics of each light source state digital model to the remaining light source state digital models.

[0052] It can be understood that through digital models and simulation analysis, we can deeply understand the conversion relationship between different performance nodes, provide a reliable basis for the optimal design of light sources, and provide data-based decision support for light source design and use, ensuring reliability and stability under different conditions. By evaluating the characteristics of performance conversion effects, we can guide the improvement and optimization of light sources and improve overall performance.

[0053] Preferably, the step of generating a test scheme for the key performance distribution characteristics according to the environmental interference effect distribution characteristics and the performance conversion effect characteristics to obtain an optical test scheme corresponding to each of the key performance nodes includes: S41: performing node pair selection processing on the key performance distribution characteristics according to the performance conversion effect characteristics between the key performance nodes, so as to obtain a plurality of node conversion pairs and test effect value parameters of each node conversion pair; wherein the node conversion pair includes a starting node and a target node, the starting node is the key performance node before the performance conversion, and the target node is the key performance node after the performance conversion; S42: performing connection arrangement processing on each of the node conversion pairs according to each of the test effect value parameters to obtain a plurality of node conversion sequences; wherein the node conversion sequence comprises a plurality of node conversion pairs arranged in sequence, and in the node conversion sequence, the target node of the previous node conversion pair is the starting node of the next node conversion pair; S43: performing an overall feasibility evaluation process on each of the node conversion sequences to obtain a sequence implementation feasibility feature of each of the node conversion sequences, and selecting a plurality of candidate sequences from each of the node conversion sequences according to the sequence implementation feasibility feature; S44: performing simulation processing of the optimal interference environment for each candidate sequence according to the distribution characteristics of the environmental interference effect, to obtain the optimal interference environment corresponding to each candidate sequence; S45: Analyze the environmental execution difficulty of the best interference environment of each candidate sequence to obtain the environmental execution difficulty of each best interference environment, and generate the test plan according to the candidate sequence with the lowest environmental execution difficulty.

[0054] Specifically, the key performance nodes to be tested are determined, and they are selected in pairs according to their performance conversion effect characteristics. Each pair of key performance nodes is marked to form a node conversion pair, where each node conversion pair consists of a starting node (before performance conversion) and a target node (after performance conversion). The corresponding test effect value parameters are calculated for each node conversion pair to evaluate the effectiveness and importance of performance conversion.

[0055] More specifically, the node conversion pairs are connected and arranged according to the test effect value parameters to form a node conversion sequence, ensuring that the target node of the previous node conversion pair in each sequence is consistent with the starting node of the next node conversion pair, and finally generating multiple node conversion sequences arranged in sequence to ensure that the conversion relationship between all key performance nodes is covered.

[0056] More specifically, an overall feasibility analysis is conducted on each node conversion sequence to evaluate its implementable features in actual testing, including resource requirements, time scheduling, equipment adaptation, etc. Based on the feasibility assessment results, several alternative sequences are selected to ensure that these sequences have high reliability and effectiveness during implementation.

[0057] More specifically, according to the distribution characteristics of environmental interference effects, the optimal interference environment is simulated for each candidate sequence, the impact of different environmental factors on the test results is analyzed, and the optimal interference environment is determined for each candidate sequence to ensure that the best test results can be obtained by testing in this environment.

[0058] More specifically, the optimal interference environment of each alternative sequence is analyzed to evaluate the difficulty of its environmental execution, including technical requirements, operational complexity, and resource allocation. Based on the evaluation results, the alternative sequence with the lowest environmental execution difficulty is selected to ensure the operability and efficiency of the test plan.

[0059] More specifically, based on the selected candidate sequences and their optimal interference environment, a complete optical test plan is formed, including specific test steps, required equipment and operation guidelines.

[0060] It can be understood that through clear steps and structured program generation, the systematicness and efficiency of optical testing are improved, node conversion pairs are selected and test effect value parameters are evaluated, ensuring that the test program focuses on the effective conversion between key performance nodes, and by simulating the best interference environment, ensuring that the test is carried out under the best conditions, improving test accuracy and reliability, and environmental execution difficulty analysis helps identify potential problems, select the best alternative sequence, reduce implementation risks, and ensure smooth testing. The generation of test plans is based on data and simulation analysis, providing a scientific basis and promoting further optimization of optical performance.

[0061] Preferably, the step of performing connection arrangement processing on each of the node conversion pairs according to each of the test effect value parameters to obtain a plurality of node conversion sequences comprises: S421: Classifying each of the node conversion pairs according to each of the test effect value parameters, so as to classify each of the node conversion pairs into a high-value set and a low-value set; S422: performing node connection processing on each of the node conversion pairs in the high-value set to obtain a node connection vector between each of the node conversion pairs; wherein the node connection vector is used to describe the remaining node conversion pairs that have a node connection relationship with the node conversion pair, and the node connection relationship is that the target node of one node conversion pair is the starting node of another node conversion pair; S423: Perform trial connection processing on each of the node conversion pairs according to the node connection vectors between each of the node conversion pairs to obtain a plurality of node conversion sequences.

[0062] Specifically, the test effect value parameters of each node conversion pair are evaluated to quantify its importance in performance conversion, and the node conversion pairs are divided into two sets according to their test effect value parameters: a high-value set, which includes node conversion pairs whose test effect value parameters are higher than a predetermined threshold; a low-value set, which includes node conversion pairs whose test effect value parameters are lower than a predetermined threshold. Clear classification criteria (such as numerical thresholds, percentages, etc.) are set during the classification process to ensure the objectivity and consistency of the classification process.

[0063] More specifically, node connection processing is performed on each node conversion pair in the high-value set, and a node connection vector is generated by analyzing the relationship between each node conversion pair. The node connection vector is used to describe other node conversion pairs that have a node connection relationship with a specific node conversion pair. The node connection relationship is defined as the target node of one node conversion pair is the same as the starting node of another node conversion pair. The node connection vector can be represented as a list or a matrix, recording the connection relationship between the node conversion pairs.

[0064] More specifically, based on the node connection vector, a trial connection model is established, and an attempt is made to connect each node conversion pair. The node conversion pairs are gradually connected to generate multiple possible node conversion sequences. Each sequence is composed of a series of node conversion pairs. It is ensured that there is a connection relationship between the node conversion pairs in each sequence. The generated node conversion sequence is verified to ensure its logical coherence and performance effectiveness.

[0065] It can be understood that by classifying the node conversion pairs, giving priority to high-value nodes, optimizing test efficiency, and ensuring the rational use of resources, the generated node connection vector provides a clear description of the node relationship, which is convenient for subsequent sequence construction and analysis. The trial connection processing can generate multiple valid node conversion sequences, allowing flexible selection of the optimal path for subsequent testing. By ensuring the connection relationship between nodes, the accuracy and effectiveness of the test sequence can be improved, thereby improving the reliability of the overall test results.

[0066] Preferably, the step of performing overall feasibility evaluation processing on each of the node conversion sequences to obtain feasible features of sequence implementation of each of the node conversion sequences includes: S431: Analyze the number of sequence conversion pairs of the node conversion sequence to obtain a sequence length parameter of the node conversion sequence; S432: Analyze the conversion direction of the node conversion sequence to obtain a sequence conversion trend of the node conversion sequence; S433: Combining the sequence length parameter with the sequence conversion trend to obtain feasible features for implementing the sequence.

[0067] Specifically, for each node conversion sequence, the number of node conversion pairs is counted to obtain the length parameter of the sequence, and the length parameter of each node conversion sequence is recorded to form a sequence length parameter list for subsequent analysis.

[0068] More specifically, the starting node and target node of each node conversion pair are analyzed to determine the conversion direction and degree, the number of different conversion directions in each node conversion sequence is counted, the main conversion direction trend is identified, the proportion of different directions in each sequence is calculated, and a data representation of the sequence conversion trend is formed. For example, the trend can be changing rapidly in the same direction, changing slowly in the same direction, changing repeatedly in different directions, and so on.

[0069] More specifically, the sequence length parameter and the conversion trend are combined to form a comprehensive evaluation index. The length parameter and the direction trend can be combined through a weighted method to obtain a comprehensive score. By combining the results, the feasible features of sequence implementation are extracted and which sequences are feasible under specific conditions are identified.

[0070] More specifically, set feasibility criteria: set feasibility thresholds based on historical data, for example, the comprehensive score must be greater than a certain value to consider the sequence feasible.

[0071] It can be understood that by analyzing the length and direction of the node conversion sequence, a quantifiable evaluation standard is formed, which enhances the systematic nature of the evaluation process. Direction analysis helps to identify the main trends of node conversion and provides an in-depth understanding of the potential risks and advantages in the testing process. By combining length parameters with conversion trends, the feasibility of sequence implementation can be more comprehensively evaluated, helping decision makers choose the optimal testing plan.

[0072] Preferably, the step of simulating the optimal interference environment for each candidate sequence according to the distribution characteristics of the environmental interference effect to obtain the optimal interference environment corresponding to each candidate sequence includes: S441: analyzing each of the key performance nodes in the candidate sequence in turn according to the distribution characteristics of the environmental interference effect, and obtaining the optimal node environment corresponding to each of the key performance nodes; S442: Analyze and process the discrete degree of the node optimal environment of each of the key performance nodes, and generate a corresponding discrete index according to the discrete degree of the node optimal environment of each of the key performance nodes; S443: Performing a balanced calculation process on the optimal environment of the node whose discrete index meets the preset standard to obtain the optimal interference environment of the candidate sequence.

[0073] Specifically, collect and organize relevant data on environmental interference effects, including factors such as temperature, humidity, noise, vibration, etc., form a distribution characteristic model of environmental interference effects, determine the key performance nodes in the alternative sequence, these nodes are the main factors affecting system performance, and for each key performance node, analyze according to the distribution characteristics of the environmental interference effect, identify the environmental conditions required for each node to achieve optimal performance, such as temperature range, humidity range, etc., record and generate a list of optimal node environmental parameters for each key performance node.

[0074] More specifically, the degree of dispersion of the optimal environmental parameters of each key performance node is analyzed, and the degree of dispersion of the parameters is calculated using statistical methods (such as standard deviation and variance). Based on the calculation results, a discrete index of the optimal environment of each node is generated to form a discrete index list for subsequent balancing calculations.

[0075] More specifically, according to the preset discrete index standard, the optimal environment of the nodes that meet the standard is screened out. These environmental conditions should have a low degree of discreteness to ensure stability, and the optimal environment of the nodes that meet the standard is balanced. The optimal environmental conditions of each node are integrated to form an overall optimal interference environment. The optimal environmental parameters of each node are integrated using weighted average or other appropriate methods to ensure that the final result can effectively support the optimal operation of all key performance nodes. The calculated optimal interference environment parameters are compiled into a report, including the optimal environment parameters of each key performance node, the discrete index and the comprehensive optimal interference environment conditions.

[0076] It can be understood that through detailed analysis of key performance nodes, the optimal environmental conditions of each node can be identified more accurately, thereby improving the overall performance of the system. The analysis of the degree of discreteness ensures that the selected environmental conditions have low variability, so that the system remains stable under different operating conditions.

[0077] Preferably, the step of subjecting the light source to be tested to an optical test to obtain a test data set of the light source to be tested in the optical test includes: S51: constructing a test environment according to the optical test scheme to apply environmental interference to the light source to be tested; S52: operating parameters of the key performance nodes corresponding to the light source to be tested in sequence according to the optical test scheme, so that the light source to be tested exhibits the performance status of the corresponding key performance nodes under the driving of the operating parameters; S53: collecting data on the test effect of the light source to be tested that exhibits the performance status of the corresponding key performance node, so as to obtain node test data; S54: Combining and processing the test data of each node to obtain the test data set.

[0078] Specifically, determine the basic requirements of the test environment, including the light intensity of the light source, test distance, temperature, humidity, etc., use appropriate test equipment (such as spectrometer, power meter, camera, etc.) to build an optical test environment, ensure that environmental interference can be effectively applied, and introduce controllable environmental interference factors (such as light scattering, reflection, etc.) into the test environment to simulate interference conditions in actual applications.

[0079] More specifically, according to the preset optical test plan, the operating parameters of each key performance node (such as wavelength, light intensity, pulse width, etc.) are determined, and the operating parameters of the light source to be tested are adjusted one by one to make it operate stably at each key performance node, so as to effectively test the performance status. Under the operating conditions of each key performance node, the optical output of the light source to be tested is monitored in real time, including parameters such as light intensity, wavelength, and spectral width, and the changes in each performance status are recorded to ensure the accuracy and reliability of the test data.

[0080] More specifically, use appropriate measuring instruments to collect data on the performance of the light source to be tested at each key performance node, ensure time synchronization and consistency of environmental conditions during data collection, and reduce the impact of external interference on the data. The collected data should include multi-dimensional information such as light intensity, wavelength, spectral characteristics, stability, etc. to form node test data.

[0081] More specifically, the collected test data from each node is organized to ensure a unified data format for easy subsequent analysis. The test data from each node is combined using data processing algorithms (such as mean, variance, regression analysis, etc.) to eliminate noise and outliers and enhance the representativeness of the data. The processed test data is integrated into a complete test data set for subsequent analysis and evaluation.

[0082] It is understandable that the accuracy and consistency of optical test data are improved through precise test environment construction and meticulous parameter control. By testing multiple key performance nodes in sequence, a comprehensive data set is formed, which can better reflect the performance characteristics of the light source to be tested. The application of environmental interference factors makes the test results closer to the actual application scenarios, which helps to improve the practical value of the test. Through reasonable data combination processing, noise can be effectively removed, the validity of the data can be improved, and subsequent analysis and decision-making are facilitated. The formed test data set provides a solid foundation for the subsequent scientific evaluation and comparison of the performance of the light source to be tested.

[0083] In a second aspect, the present invention provides an optical testing method device based on a wavelength tunable light source, which is used to implement an optical testing method based on a wavelength tunable light source as described in any one of the first aspects.

[0084] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An optical testing method based on a wavelength tunable light source, characterized in that: include: Acquire specification information of the light source to be tested, and perform performance analysis processing on the light source to be tested according to the specification information to obtain key performance distribution characteristics of the light source to be tested; wherein the key performance distribution characteristics include a number of key performance nodes; Performing environmental interference effect simulation processing on each of the key performance nodes to obtain distribution characteristics of the environmental interference effect of each of the key performance nodes; Performing a performance conversion effect simulation process on each of the key performance nodes to obtain performance conversion effect characteristics between each of the key performance nodes; Generating a test scheme for the key performance distribution characteristics according to the environmental interference effect distribution characteristics and the performance conversion effect characteristics, and obtaining an optical test scheme corresponding to each of the key performance nodes; According to the optical test scheme, environmental interference and operating parameters are applied to the light source to be tested, and the light source to be tested is subjected to an optical test to obtain a test data set of the light source to be tested in the optical test; wherein the test data set is used to provide performance feedback to the light source to be tested.

2. The optical testing method based on a wavelength tunable light source according to claim 1, characterized in that: The steps of obtaining specification information of the light source to be tested, and performing performance analysis processing on the light source to be tested according to the specification information to obtain key performance distribution characteristics of the light source to be tested include: Obtaining specification information of the light source to be tested; wherein the specification information includes index information of several performance items, and the performance items include wavelength range, output power, spectral characteristics, operating temperature range, modulation frequency and phase noise; Extracting key data features from the indicator information of each of the performance items respectively to obtain a key indicator data set corresponding to each of the performance items; wherein the key indicator data set includes a number of key indicator data of the performance items; Analyzing the collaborative correlation degree of each of the key indicator data sets to obtain collaborative correlation characteristics of each of the key indicator data sets; wherein the collaborative correlation characteristics are used to describe the possibility of collaborative work between each of the key indicator data in each of the key indicator data sets; Performing data combination processing on each of the key indicator data sets according to the collaborative association characteristics to obtain a number of key performance nodes; The key performance nodes are combined to obtain the key performance distribution characteristics.

3. The optical testing method based on a wavelength tunable light source according to claim 1, characterized in that: The step of simulating the effect of environmental interference on each of the key performance nodes to obtain the distribution characteristics of the environmental interference effect of each of the key performance nodes includes: Analyze and process the applicable scenarios of the light source to be tested according to the specification information to obtain several light source applicable scenarios of the light source to be tested; wherein the light source applicable scenarios include scene types and scene specific parameters; Analyzing and processing the environmental interference items of the light source to be tested according to the applicable scenario of the light source to obtain a plurality of environmental interference items of the light source to be tested corresponding to the applicable scenario of the light source; Performing a project mapping simulation process on the key performance node according to the environmental interference project to obtain the environmental interference effect of different project degree parameters of the key performance node corresponding to the environmental interference project; Combining and processing the environmental interference effects of different project degree parameters of the environmental interference project corresponding to the key performance node, to obtain the project interference effect distribution characteristics of the key performance node corresponding to the environmental interference project; The project interference effect distribution characteristics corresponding to each of the environmental interference items of the key performance node are combined and processed to obtain the environmental interference effect distribution characteristics of the key performance node.

4. The optical testing method based on a wavelength tunable light source according to claim 1, characterized in that: The step of simulating the effect of performance conversion of each of the key performance nodes to obtain the performance conversion effect characteristics between each of the key performance nodes includes: Performing digital simulation of the light source state on each of the key performance nodes to obtain a digital model of the light source state corresponding to each of the key performance nodes; Taking one of the light source state digital models as a benchmark unit and the remaining light source state digital models as reference units, performing conversion simulation analysis on the benchmark unit and each of the reference units to obtain state conversion characteristics between the benchmark unit and each of the reference units; Performing a performance pressure simulation analysis on the light source to be tested during the light source execution conversion process according to the state conversion characteristics, so as to obtain a performance pressure parameter of the light source to be tested corresponding to the state conversion characteristics; Evaluate the test effect of the performance conversion from the benchmark unit to the reference unit according to the performance pressure parameter, and obtain a performance conversion effect characteristic corresponding to the performance conversion from the benchmark unit to the reference unit; The above steps are performed using each of the light source state digital models as a reference unit to obtain performance conversion effect characteristics corresponding to the performance conversion of each of the light source state digital models to the remaining light source state digital models.

5. The optical testing method based on a wavelength tunable light source according to claim 1, characterized in that: The step of generating a test scheme for the key performance distribution characteristics according to the environmental interference effect distribution characteristics and the performance conversion effect characteristics to obtain an optical test scheme corresponding to each of the key performance nodes includes: According to the performance conversion effect characteristics between the key performance nodes, the key performance distribution characteristics are subjected to node pair selection processing to obtain a plurality of node conversion pairs and test effect value parameters of each node conversion pair; wherein the node conversion pair includes a starting node and a target node, the starting node is a key performance node before the performance conversion, and the target node is a key performance node after the performance conversion; According to each of the test effect value parameters, each of the node conversion pairs is connected and arranged to obtain a plurality of node conversion sequences; wherein the node conversion sequence includes a plurality of node conversion pairs arranged in sequence, and in the node conversion sequence, the target node of the previous node conversion pair is the starting node of the next node conversion pair; Performing an overall feasibility evaluation process on each of the node conversion sequences to obtain a sequence implementation feasibility feature of each of the node conversion sequences, and selecting a plurality of candidate sequences from each of the node conversion sequences according to the sequence implementation feasibility feature; Performing simulation processing on the optimal interference environment for each candidate sequence according to the distribution characteristics of the environmental interference effect, so as to obtain the optimal interference environment corresponding to each candidate sequence; The best interference environment of each candidate sequence is analyzed for the difficulty of environment execution to obtain the difficulty of environment execution of each best interference environment, and the test plan is generated according to the candidate sequence with the lowest difficulty of environment execution.

6. The optical testing method based on a wavelength tunable light source according to claim 5, characterized in that: The step of performing connection and arrangement processing on each of the node conversion pairs according to each of the test effect value parameters to obtain a plurality of node conversion sequences comprises: Classifying each of the node conversion pairs according to each of the test effect value parameters to classify each of the node conversion pairs into a high-value set and a low-value set; Performing node connection processing on each of the node conversion pairs in the high-value set to obtain a node connection vector between each of the node conversion pairs; wherein the node connection vector is used to describe the remaining node conversion pairs that have a node connection relationship with the node conversion pair, and the node connection relationship is that the target node of one node conversion pair is the starting node of another node conversion pair; A trial connection process is performed on each of the node conversion pairs according to the node connection vectors between each of the node conversion pairs to obtain a plurality of node conversion sequences.

7. The optical testing method based on a wavelength tunable light source according to claim 5, characterized in that: The step of evaluating the overall feasibility of each of the node conversion sequences to obtain the feasible features of the sequence implementation of each of the node conversion sequences includes: Analyzing the number of sequence conversion pairs of the node conversion sequence to obtain a sequence length parameter of the node conversion sequence; Analyzing the conversion direction and conversion degree of the node conversion sequence to obtain a sequence conversion trend of the node conversion sequence; The sequence length parameter is combined with the sequence conversion trend to obtain feasible features for implementing the sequence.

8. The optical testing method based on a wavelength tunable light source according to claim 5, characterized in that: The step of simulating the optimal interference environment for each candidate sequence according to the distribution characteristics of the environmental interference effect to obtain the optimal interference environment corresponding to each candidate sequence comprises: Analyze each of the key performance nodes in the candidate sequence in turn according to the distribution characteristics of the environmental interference effect, and obtain the node optimal environment corresponding to each of the key performance nodes; Analyzing and processing the degree of discreteness of the node optimal environment of each of the key performance nodes, and generating a corresponding discrete index according to the degree of discreteness of the node optimal environment of each of the key performance nodes; The optimal environment of the node whose discrete index meets the preset standard is subjected to balanced calculation processing to obtain the optimal interference environment of the candidate sequence.

9. The optical testing method based on a wavelength tunable light source according to claim 1, characterized in that: The steps of applying environmental interference and operating parameters to the light source to be tested according to the optical test scheme, and subjecting the light source to be tested to an optical test, so as to obtain a test data set of the light source to be tested in the optical test include: Constructing a test environment according to the optical test scheme to apply environmental interference to the light source to be tested; According to the optical test scheme, the operating parameters of the light source to be tested correspond to each of the key performance nodes in sequence, so that the light source to be tested exhibits the performance status of the corresponding key performance node under the driving of the operating parameters; Collecting data on the test results of the light source to be tested that exhibits the performance status of the corresponding key performance node to obtain node test data; The test data of each node are combined and processed to obtain the test data set.

10. An optical testing device based on a wavelength tunable light source, characterized in that: Used to implement an optical testing method based on a wavelength tunable light source as described in any one of claims 1-9.

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