Optical module test method and system
By employing a distributed testing architecture and adaptive equalization algorithm, parallel testing of optical modules is achieved, solving the problem of low efficiency in traditional testing methods and improving testing efficiency and accuracy. In particular, it enables efficient quality control of optical modules in large-scale production environments.
Patent Information
- Application Number
- CN202511436072.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-09
- Publication Date
- 2025-12-16
AI Technical Summary
Traditional optical module testing methods are inefficient and cannot meet the needs of large-scale production. They also suffer from problems such as unintelligent test resource scheduling and insufficient synchronization accuracy when multiple machines are tested collaboratively.
A distributed testing architecture is adopted, with multiple test machines working collaboratively through a local area network. Combined with a digital diagnostic monitoring module, an environmental stress testing platform, and a protocol compatibility testing framework, parallel testing of optical modules is achieved. A high-speed clock distribution network is used to achieve nanosecond-level time synchronization, and an adaptive equalization algorithm and redundancy check technology are employed to dynamically adjust the allocation of test resources.
It greatly improves the efficiency and accuracy of optical module detection, reduces the bit error rate, increases equipment utilization and the reliability of detection results, and enables rapid response and optimal resource allocation in complex network environments.
Smart Images
Figure CN121150802A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of communication technology, and in particular to optical module testing methods and systems. Background Technology
[0002] Currently, in the manufacturing of optical communication equipment, the quality inspection of optical modules is a key link to ensure network stability and data transmission efficiency. Traditional optical module testing technology mostly relies on a single oscilloscope to test the optical modules. By reading the optical module signals through the oscilloscope, it is determined whether its performance meets the standards. Although this method is reliable, in a large-scale production environment, the low efficiency of using a single oscilloscope for testing has become a bottleneck.
[0003] Traditional single-oscilloscope testing methods employ a serial testing mode, resulting in low testing efficiency and an inability to meet the demands of mass production. Furthermore, they suffer from unintelligent test resource scheduling and insufficient synchronization accuracy during multi-oscilloscope collaborative testing, severely hindering the large-scale production efficiency and quality control of optical communication equipment. Therefore, this paper proposes an optical module testing method and system to address these issues. Summary of the Invention
[0004] The purpose of this application is to provide a testing method and system for optical modules to solve the problems mentioned above.
[0005] Firstly, the optical module testing method provided in this application adopts the following technical solution, including the following steps: S1: Photoelectric performance co-testing step: By measuring the extinction ratio and average optical power of the optical module, the driving current is dynamically adjusted, and the receiving sensitivity is verified; S2: Digital diagnostic monitoring redundancy verification steps: By reading the monitoring parameters of the optical module, redundancy verification is triggered when the difference in monitoring parameters exceeds the set threshold; S3: Environmental stress accelerated testing procedure: Cyclic testing is carried out over a wide temperature range, combined with mechanical vibration to simulate the actual working environment, and performance degradation is calculated based on the aging model; S4: Protocol compatibility verification steps: Verify communication performance in a simulated network environment by injecting test traffic of multiple protocols.
[0006] Preferably, in the photoelectric performance co-testing step, the extinction ratio calibration is achieved by real-time acquisition of eye diagram data and analysis of signal quality. The eye diagram data is a set of waveforms superimposed on the output signal of the optical module in the time domain, captured by a high-speed analog-to-digital converter at a sampling rate of not less than 1 GS / s. It includes signal amplitude, timing jitter, and noise distribution characteristics. The laser's drive current and operating bias voltage are dynamically adjusted according to the analysis results, and digital signal processing technology is used to shape and optimize the eye diagram waveform. Specifically, this includes using a least mean square adaptive equalization algorithm to compensate for inter-symbol interference in the eye diagram waveform, eliminating waveform distortion caused by fiber dispersion through a transverse filter, dynamically adjusting the laser bias voltage based on a recursive least squares algorithm, correcting the drive current in real time, and suppressing eye diagram closure. The eye diagram waveform is a typical signal profile extracted from the eye diagram data after digital filtering, used to quantitatively evaluate the extinction ratio, rise and fall times, and jitter tolerance.
[0007] Preferably, the redundancy verification method adopts a primary and backup dual-channel data acquisition mechanism, which performs multiple data samplings at a set time interval. After each sampling, the operating voltage of the acquisition circuit is calibrated by reverse compensation. The reverse compensation calibration includes: real-time monitoring of the operating voltage drift of the acquisition circuit, calculating the compensation voltage value according to the preset voltage-error correspondence curve, injecting reverse compensation voltage into the acquisition circuit through a digital-to-analog converter to offset the drift error, and after completing multiple samplings, performing time-domain alignment processing on the sampled data and taking the median value of multiple samplings as the valid data.
[0008] Preferably, the environmental stress test is performed in a programmable temperature cycling chamber. The test process simulates the temperature change curve of the actual working environment. At the same time, a multi-axial mechanical vibration table applies mechanical stress at different frequencies. By continuously monitoring the changing trends of key parameters such as optical power, an aging model is established to evaluate the long-term reliability of the module.
[0009] Preferably, the protocol compatibility verification is implemented through a configurable protocol simulation engine. This engine supports loading multiple communication protocol stacks, can simulate the working modes of different network devices, automatically injects test traffic that conforms to protocol specifications during testing, and monitors indicators such as bit error rate and signal integrity in real time to generate a protocol compatibility analysis report.
[0010] Secondly, the optical module testing system provided in this application adopts the following technical solution: including: an optoelectronic performance testing module, comprising an optical emission testing unit and an optical reception testing unit; Digital diagnostic monitoring and verification module, with built-in multi-channel communication bus and mechanical vibration device; An environmental stress testing platform that integrates a temperature control device and a mechanical vibration device; A protocol compatibility testing framework, including a protocol simulator and a network topology simulator.
[0011] Preferably, the optical emission testing unit includes a laser driving circuit, an extinction ratio control module, and a high-precision eye diagram analyzer. The eye diagram analyzer integrates a digital signal processing unit, uses an adaptive equalization algorithm to reconstruct waveforms and analyze jitter in high-speed signals, and is equipped with a temperature compensation circuit to ensure test stability.
[0012] Preferably, the digital diagnostic monitoring and verification module includes a timing synchronization unit, which achieves precise synchronization of multi-channel data acquisition through a high-speed clock distribution network and uses phase-locking technology to eliminate time delay differences between channels, ensuring the time consistency of monitoring parameters.
[0013] Preferably, the environmental stress testing platform includes a composite environmental simulation chamber, which integrates a temperature and humidity control system and a multi-axis vibration table, and can simultaneously apply composite stresses of temperature cycling and mechanical vibration, and record the change curves of optical module performance parameters in real time.
[0014] Preferably, the protocol compatibility testing framework includes a protocol analyzer and a traffic generator, supports automated configuration of various network topologies, can simulate protocol interaction processes in complex network environments, and record communication quality indicators.
[0015] In summary, this application includes at least one of the following beneficial technical effects: 1. This invention constructs a distributed testing architecture through a local area network (LAN), networking oscilloscopes with multiple testing machines to work collaboratively, enabling parallel testing of optical modules. The digital diagnostic monitoring and verification module uses a multi-channel communication bus to achieve real-time aggregation and analysis of test data, allowing the testing tasks of multiple optical modules to be executed synchronously. Compared with traditional single-machine testing methods, this mechanism fully utilizes the bandwidth advantage of the LAN, greatly improving testing efficiency and is suitable for rapid testing scenarios of batch optical modules. 2. This invention uses a high-speed clock distribution network to achieve nanosecond-level time synchronization between multiple machines, and eliminates errors caused by voltage drift through third-order redundancy check. At the same time, the adaptive equalization algorithm integrated in the optical emission test unit enhances the signal waveform in real time, effectively suppresses signal crosstalk in parallel testing, reduces the bit error rate of parallel detection of multiple machines, and improves the reliability of the detection results. 3. Based on real-time data feedback from the protocol simulation engine and network topology simulator, this invention uses a load balancing algorithm to dynamically allocate testing tasks. This algorithm intelligently schedules test resources according to the real-time working status of each machine, prioritizing the allocation of high-priority tasks to idle machines to improve equipment utilization. At the same time, it supports the handling of sudden tasks to ensure that urgent testing needs are responded to quickly, and achieves optimal configuration of test resources. Attached Figure Description
[0016] Figure 1This is a flowchart of the optical module testing method of this application; Figure 2 This is a framework diagram of the optical module testing system of this application. Detailed Implementation
[0017] The following is in conjunction with the appendix Figure 1 This application will be described in further detail below.
[0018] Example 1: Optical module testing method, refer to Figure 1 This includes the following steps: S1: Photoelectric performance co-testing steps: By measuring the extinction ratio and average optical power of the optical module, the drive current is dynamically adjusted, and the receiving sensitivity is verified; S2: Digital diagnostic monitoring redundancy verification steps: By reading the monitoring parameters of the optical module, redundancy verification is triggered when the difference in monitoring parameters exceeds the set threshold; S3: Environmental stress accelerated testing procedure: Cyclic testing is carried out over a wide temperature range, combined with mechanical vibration to simulate the actual working environment, and performance degradation is calculated based on the aging model; S4: Protocol compatibility verification steps: Verify communication performance in a simulated network environment by injecting test traffic of multiple protocols.
[0019] Specifically, in the optoelectronic performance co-testing step, the extinction ratio calibration is achieved by real-time acquisition of eye diagram data and analysis of signal quality. The eye diagram data is a set of waveforms superimposed on the output signal of the optical module in the time domain. It is captured by a high-speed analog-to-digital converter at a sampling rate of not less than 1 GS / s and includes signal amplitude, timing jitter, and noise distribution characteristics. Based on the analysis results, the laser's drive current and operating bias voltage are dynamically adjusted, and digital signal processing technology is used to shape and optimize the eye diagram waveform. Specifically, this includes using a least mean square adaptive equalization algorithm to compensate for inter-symbol interference in the eye diagram waveform, eliminating waveform distortion caused by fiber dispersion through a transverse filter, dynamically adjusting the laser bias voltage based on a recursive least squares algorithm, correcting the drive current in real time, and suppressing eye diagram closure. The eye diagram waveform is a typical signal profile extracted from the eye diagram data after digital filtering, used to quantitatively evaluate the extinction ratio, rise and fall times, and jitter tolerance.
[0020] This photoelectric performance co-test uses a high-speed ADC to acquire eye diagram waveform data in real time. After FFT analysis and equalization filtering by the digital signal processing unit, the laser drive current and bias voltage are dynamically adjusted. An adaptive algorithm is used to eliminate signal jitter and improve the extinction ratio control accuracy.
[0021] Among them, a high-speed ADC, or high-speed analog-to-digital converter, is an electronic device that can quickly convert analog signals into high-precision digital signals. It has an extremely high sampling rate of ≥1 GS / s and a typical conversion accuracy of 8-14 bits. In optical module testing, it is mainly used to capture the transient response characteristics of high-speed optoelectronic devices in real time. This patent uses a 5 GS / s sampling rate ADC, combined with a JESD204B high-speed serial interface, to accurately acquire the eye diagram waveform of the optical signal, providing the raw data foundation for adaptive algorithm processing. An adaptive algorithm is an intelligent calculation method that can dynamically adjust parameters based on real-time input data. Its core lies in continuously monitoring the difference between the system output and the target value, automatically optimizing processing parameters to achieve optimal performance. In this application, the adaptive algorithm is mainly based on two core methods: least mean square and recursive least squares, through a transverse filter structure and real-time error feedback. The system employs a feedback mechanism to dynamically track and compensate for signal characteristics, particularly addressing adaptive corrections for issues such as eye diagram jitter and extinction ratio drift in high-speed optical signals. The least mean square (LMS) algorithm, a gradient descent-based adaptive filtering algorithm, iteratively adjusts filter coefficients to minimize the mean square error between the output and desired signals. In this application, the LMS algorithm uses a 5th-order transverse filter structure to equalize the optical signal in real time, effectively suppressing inter-symbol interference caused by fiber dispersion through its rapid convergence. The recursive least squares (RLS) algorithm, an adaptive algorithm that recursively calculates the least squares solution, achieves rapid convergence by maintaining and updating the inverse of the correlation matrix. This application applies the RLS algorithm to the equalization processing of modulated signals, utilizing its superlinear convergence to solve the nonlinear distortion problem under high-order modulation. Combined with the LMS algorithm, this creates a hybrid architecture that significantly reduces the bit error rate of the 800G optical module.
[0022] Specifically, the redundancy verification method adopts a primary and backup dual-channel data acquisition mechanism. Multiple data samples are taken at set time intervals. After each sampling, the operating voltage of the acquisition circuit is calibrated by reverse compensation. The reverse compensation calibration includes: real-time monitoring of the operating voltage drift of the acquisition circuit, calculating the compensation voltage value according to the preset voltage-error correspondence curve, injecting the reverse compensation voltage into the acquisition circuit through the digital-to-analog converter to offset the drift error, and after completing multiple samplings, performing time-domain alignment processing on the sampled data and taking the median value of multiple samplings as the valid data.
[0023] This redundancy verification method adopts a dual-channel architecture with isolated power supply design, sets the sampling interval in integer multiples of the clock cycle, dynamically calculates the voltage compensation amount through historical drift curves, and finally takes the median of three samples as the valid data, which greatly reduces the false alarm rate of monitoring, meets the high reliability requirements of telecommunications-grade equipment for digital diagnostic monitoring, and effectively overcomes the parameter distortion problem caused by voltage drift.
[0024] Specifically, the environmental stress test is conducted in a programmable temperature cycling chamber. The test process simulates the temperature change curve of the actual working environment. At the same time, a multi-axial mechanical vibration table applies mechanical stress at different frequencies. By continuously monitoring the changing trends of key parameters such as optical power, an aging model is established to evaluate the long-term reliability of the module.
[0025] Among them, the aging model is a quantitative tool for predicting the performance degradation law of optical modules during long-term use through mathematical modeling and experimental data analysis. In this application, the prediction equation is established by using temperature-vibration composite stress accelerated aging experimental data. The system records 23 parameters such as optical power and extinction ratio in real time at a sampling frequency of greater than or equal to 1Hz. The attenuation curve of each parameter is fitted by the least squares method, and finally the predicted value of average aging time and confidence interval are output. Compared with the traditional single temperature model, the aging model can reduce the prediction error and shorten the test cycle.
[0026] This environmental stress test combines a multi-axis vibration table in a programmable temperature control chamber. It monitors performance degradation in real time through an optical power sampling frequency of ≥1 Hz and uses temperature-vibration composite stress to accelerate aging, which greatly shortens the test cycle. Compared with traditional single stress test, it can more accurately simulate the harsh working environment.
[0027] Specifically, protocol compatibility verification is achieved through a configurable protocol simulation engine. This engine supports loading multiple communication protocol stacks, can simulate the working modes of different network devices, automatically injects test traffic that conforms to protocol specifications during testing, and monitors indicators such as bit error rate and signal integrity in real time to generate a protocol compatibility analysis report.
[0028] The protocol compatibility verification utilizes a protocol library that can load IEEE / ITU-T standards, employs the PRBS31 test code and BIP-8 checksum algorithm, and achieves automatic adaptation to multiple standards under a virtualized protocol stack architecture, greatly improving the full protocol testing coverage of a single device.
[0029] The implementation principle of this application embodiment is as follows: a complete test process is constructed through four key steps: photoelectric performance collaborative testing, digital diagnostic redundancy verification, environmental stress accelerated testing, and protocol compatibility verification. This method innovatively adopts dynamic eye diagram optimization technology to improve the extinction ratio control accuracy, ensures data reliability through primary and backup dual-channel redundancy verification, combines temperature-vibration composite stress to simulate the real working environment, and uses a virtualized protocol stack to achieve automatic adaptation of multiple standards. Thus, performance, reliability, and compatibility verification are completed simultaneously in a single test, which significantly improves test efficiency and accuracy. In particular, through high-speed ADC real-time signal acquisition and PLL clock synchronization, the technical problems of insufficient dynamic compensation and clock asynchrony in traditional testing are solved.
[0030] Example 2: Optical module testing system, refer to Figure 2 It includes: a photoelectric performance testing module, which contains a light emission testing unit and a light reception testing unit; Digital diagnostic monitoring and verification module, with built-in multi-channel communication bus and mechanical vibration device; An environmental stress testing platform that integrates a temperature control device and a mechanical vibration device; A protocol compatibility testing framework, including a protocol simulator and a network topology simulator.
[0031] Specifically, the optical emission test unit includes a laser driver circuit, an extinction ratio control module, and a high-precision eye diagram analyzer. The eye diagram analyzer integrates a digital signal processing unit, uses an adaptive equalization algorithm to reconstruct waveforms and analyze jitter in high-speed signals, and is equipped with a temperature compensation circuit to ensure test stability.
[0032] This optical emission test unit integrates a feedforward equalizer and a temperature compensation circuit, supports NRZ / PAM4 modulation format, improves eye diagram closure through a hybrid signal processing architecture, meets the testing requirements of 800G optical modules, and resolves the technical contradiction between high-speed signal integrity and temperature drift.
[0033] Specifically, the digital diagnostic monitoring and verification module includes a timing synchronization unit, which achieves precise synchronization of multi-channel data acquisition through a high-speed clock distribution network and uses phase-locking technology to eliminate time delay differences between channels, ensuring the time consistency of monitoring parameters.
[0034] This digital diagnostic module adopts a PLL clock tree distributed network, supports SMBus / I2C / SPI multi-protocol interfaces and 0-10ns programmable delay compensation, and achieves sub-nanosecond synchronization of multiple machines, providing a precise timing foundation for parallel testing and overcoming data acquisition errors caused by clock asynchrony in distributed systems.
[0035] Specifically, the environmental stress testing platform includes a composite environment simulation chamber, which integrates a temperature and humidity control system and a multi-axis vibration table. It can simultaneously apply composite stresses of temperature cycling and mechanical vibration, and record the change curves of optical module performance parameters in real time.
[0036] This environmental stress platform integrates a fiber optic power meter with a mechatronics design that combines gas-liquid composite temperature control and electromagnetic vibration, enabling synchronous monitoring and data correlation analysis of temperature, humidity, vibration, and optical performance, thereby improving the efficiency of failure mode analysis in complex environments.
[0037] Specifically, the protocol compatibility testing framework includes a protocol analyzer and a traffic generator, supports automated configuration of various network topologies, can simulate protocol interaction processes in complex network environments, and records communication quality indicators.
[0038] This protocol testing framework is based on SDN technology to build a virtual network topology that supports 100+ nodes. It is the first to achieve data center-level network simulation in optical module testing, which shortens the protocol anomaly location time and solves the problem of insufficient compatibility verification in complex networking environments.
[0039] The implementation principle of this application embodiment is as follows: the optoelectronic performance testing module achieves high-speed signal processing by integrating an adaptive equalizer and temperature compensation circuit; the digital diagnostic module uses a PLL clock tree to ensure multi-channel synchronization; the environmental stress platform achieves composite stress loading through electromechanical integration design; the protocol testing framework constructs a virtual network topology based on SDN technology. This system innovatively integrates key technologies such as mixed signal processing, sub-nanosecond synchronization, and gas-liquid composite temperature control into a unified platform, which not only supports 800G high-speed optical module testing, but also simulates complex network environments at the data center level, achieving full coverage from component-level parameter testing to system-level compatibility verification, and providing a complete testing solution for optical module R&D.
[0040] The embodiments described in this specific implementation are preferred embodiments of this application and are not intended to limit the scope of protection of this application. Identical components are represented by the same reference numerals. Therefore, all equivalent changes made to the structure, shape, and principle of this application should be covered within the scope of protection of this application.
Claims
1. A method for testing optical modules, characterized in that, Includes the following steps: S1: Photoelectric performance co-testing steps: By measuring the extinction ratio and average optical power of the optical module, the drive current is dynamically adjusted, and the receiving sensitivity is verified; S2: Digital diagnostic monitoring redundancy verification steps: By reading the monitoring parameters of the optical module, redundancy verification is triggered when the difference in monitoring parameters exceeds the set threshold; S3: Environmental stress accelerated testing procedure: Cyclic testing is carried out over a wide temperature range, combined with mechanical vibration to simulate the actual working environment, and performance degradation is calculated based on the aging model; S4: Protocol compatibility verification steps: Verify communication performance in a simulated network environment by injecting test traffic of multiple protocols.
2. The optical module testing method according to claim 1, characterized in that, In the aforementioned photoelectric performance co-testing step, the extinction ratio calibration is achieved by real-time acquisition of eye diagram data and analysis of signal quality. The eye diagram data is a set of waveforms superimposed on the output signal of the optical module in the time domain, captured by a high-speed analog-to-digital converter at a sampling rate of not less than 1 GS / s. It includes signal amplitude, timing jitter, and noise distribution characteristics. Based on the analysis results, the laser's drive current and operating bias voltage are dynamically adjusted, and digital signal processing technology is used to shape and optimize the eye diagram waveform. Specifically, this includes using a least mean square adaptive equalization algorithm to compensate for inter-symbol interference in the eye diagram waveform, eliminating waveform distortion caused by fiber dispersion through a transverse filter, dynamically adjusting the laser bias voltage based on a recursive least squares algorithm, correcting the drive current in real time, and suppressing eye diagram closure. The eye diagram waveform is a typical signal profile extracted from the eye diagram data after digital filtering, used to quantitatively evaluate the extinction ratio, rise and fall times, and jitter tolerance.
3. The optical module testing method according to claim 1, characterized in that, The redundancy verification method adopts a primary and backup dual-channel data acquisition mechanism. It performs multiple data samplings at set time intervals. After each sampling, the operating voltage of the acquisition circuit is calibrated by reverse compensation. The reverse compensation calibration includes: real-time monitoring of the operating voltage drift of the acquisition circuit, calculating the compensation voltage value according to the preset voltage-error correspondence curve, injecting reverse compensation voltage into the acquisition circuit through a digital-to-analog converter to offset the drift error, and after completing multiple samplings, performing time-domain alignment processing on the sampled data and taking the median value of multiple samplings as the valid data.
4. The optical module testing method according to claim 1, characterized in that, The environmental stress test is conducted in a programmable temperature cycling chamber. The test process simulates the temperature change curve of the actual working environment. At the same time, a multi-axial mechanical vibration table applies mechanical stress at different frequencies. By continuously monitoring the changing trends of key parameters such as optical power, an aging model is established to evaluate the long-term reliability of the module.
5. The optical module testing method according to claim 1, characterized in that, The protocol compatibility verification is achieved through a configurable protocol simulation engine. This engine supports loading multiple communication protocol stacks, can simulate the working modes of different network devices, automatically injects test traffic that conforms to protocol specifications during testing, and monitors indicators such as bit error rate and signal integrity in real time, generating a protocol compatibility analysis report.
6. An optical module testing system, applicable to the optical module testing method according to any one of claims 1-5, characterized in that, include: The optoelectronic performance testing module includes a light emission testing unit and a light reception testing unit. Digital diagnostic monitoring and verification module, with built-in multi-channel communication bus and mechanical vibration device; An environmental stress testing platform that integrates a temperature control device and a mechanical vibration device; A protocol compatibility testing framework, including a protocol simulator and a network topology simulator.
7. The optical module testing system according to claim 6, characterized in that, The optical emission testing unit includes a laser driving circuit, an extinction ratio control module, and a high-precision eye diagram analyzer. The eye diagram analyzer integrates a digital signal processing unit, uses an adaptive equalization algorithm to reconstruct waveforms and analyze jitter in high-speed signals, and is equipped with a temperature compensation circuit to ensure test stability.
8. The optical module testing system according to claim 6, characterized in that, The digital diagnostic monitoring and verification module includes a timing synchronization unit, which achieves precise synchronization of multi-channel data acquisition through a high-speed clock distribution network and uses phase-locking technology to eliminate time delay differences between channels, ensuring the time consistency of monitoring parameters.
9. The optical module testing system according to claim 6, characterized in that, The environmental stress testing platform includes a composite environment simulation chamber, which integrates a temperature and humidity control system and a multi-axis vibration table. It can simultaneously apply composite stresses of temperature cycling and mechanical vibration, and record the change curves of optical module performance parameters in real time.
10. The optical module testing system according to claim 6, characterized in that, The protocol compatibility testing framework includes a protocol analyzer and a traffic generator, supports automated configuration of various network topologies, can simulate protocol interaction processes in complex network environments, and record communication quality indicators.