Multi-channel parallel transmission optimization method and system for silicon light engine

Abstract

The invention relates to the technical field of signal transmission, and provides a multi-channel parallel transmission optimization method and system for a silicon light engine. The method comprises the following steps: collecting multi-channel transmission characteristics of a silicon light engine, and optimizing a transmission signal based on the characteristics to obtain an initial transmission signal; calling a predetermined encoding and decoding mechanism, and performing encoding and decoding processing on the initial transmission signal based on the predetermined encoding and decoding mechanism to obtain a first transmission signal; calling a predetermined encryption and decryption mechanism, and performing encryption and decryption processing on the initial transmission signal based on the predetermined encryption and decryption mechanism to obtain a second transmission signal; and taking the second transmission signal as a target transmission signal, and performing parallel transmission on the target transmission signal. According to the invention, the technical problems of low transmission efficiency and unstable signal quality caused by mismatching of signal transmission characteristics in the multichannel parallel transmission process of the silicon light engine are solved, and the multichannel parallel transmission efficiency is improved through transmission characteristic compensation and optimization processing of a decoding and decryption mechanism. And the signal stability and the transmission quality are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of signal transmission, in particular to a multi-channel parallel transmission optimization method and system for a silicon optical engine. BACKGROUND

[0002] With the development of information technology, silicon optical engines play an increasingly important role in high-speed data transmission, data centers, and optical communication. Silicon optical engines use silicon-based materials to process and transmit optical signals, which have higher bandwidth, lower delay, and lower energy consumption compared to traditional electronic processing methods, and have become one of the key components of future data transmission technology. Silicon optical engines use multi-channel parallel transmission technology to achieve large-scale data parallel transmission, thereby improving the efficiency and stability of data transmission. However, existing silicon optical engines face some technical challenges in multi-channel parallel transmission. First, due to the differences in transmission characteristics between channels, signal attenuation and distortion may occur, affecting the overall transmission quality. Second, there is potential efficiency loss in encoding and decoding and encryption and decryption processes, which cannot dynamically adjust processing strategies according to different transmission signals, resulting in the performance of transmission signals under different conditions not being optimized. In addition, due to the crosstalk problem between parallel channels, the stability of multi-channel signals may be affected, leading to an increase in data transmission error rate. Therefore, how to optimize the signal transmission of silicon optical engines in multi-channel parallel transmission, improve the efficiency of encoding and decoding and encryption and decryption, and reduce crosstalk and signal attenuation has become a difficult problem to be solved in silicon optical engine technology. SUMMARY

[0003] The present application provides a multi-channel parallel transmission optimization method and system for a silicon optical engine, aiming to solve the technical problems of low transmission efficiency and unstable signal quality caused by mismatched signal transmission characteristics in the multi-channel parallel transmission process of silicon optical engines.

[0004] The first aspect of the present application provides a multi-channel parallel transmission optimization method for a silicon optical engine, the method comprising: collecting the multi-channel transmission characteristics of the silicon optical engine, and optimizing the transmission signal of the silicon optical engine based on the multi-channel transmission characteristics to obtain an initial transmission signal; retrieving a predetermined encoding and decoding mechanism, and encoding and decoding the initial transmission signal according to the predetermined encoding and decoding mechanism to obtain a first transmission signal; retrieving a predetermined encryption and decryption mechanism, and encrypting and decrypting the initial transmission signal according to the predetermined encryption and decryption mechanism to obtain a second transmission signal; taking the second transmission signal as the target transmission signal of the silicon optical engine, and performing parallel transmission on the target transmission signal.

[0005] Another aspect of the present application provides a multi-channel parallel transmission optimization system for a silicon optical engine, the system comprising: a signal optimization module configured to collect multi-channel transmission characteristics of the silicon optical engine and optimize transmission signals of the silicon optical engine based on the multi-channel transmission characteristics to obtain initial transmission signals; a coding and decoding processing module configured to call a predetermined coding and decoding mechanism and perform coding and decoding processing on the initial transmission signals according to the predetermined coding and decoding mechanism to obtain first transmission signals; an encryption and decryption processing module configured to call a predetermined encryption and decryption mechanism and perform encryption and decryption processing on the initial transmission signals according to the predetermined encryption and decryption mechanism to obtain second transmission signals; and a parallel transmission module configured to take the second transmission signals as target transmission signals of the silicon optical engine and perform parallel transmission on the target transmission signals.

[0006] The one or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0007] The above multi-channel parallel transmission optimization method for a silicon optical engine first collects multi-channel transmission characteristics of the silicon optical engine and optimizes transmission signals based on the characteristics to obtain initial transmission signals; then performs coding and decoding processing on the initial signals using a predetermined coding and decoding mechanism to obtain first transmission signals; then performs encryption and decryption processing on the initial signals using a predetermined encryption and decryption mechanism to obtain second transmission signals; and finally takes the second transmission signals as target signals and performs parallel transmission to improve the efficiency and signal quality of multi-channel transmission.

[0008] The above description is only a summary of the technical solutions of the present application. In order to more clearly understand the technical means of the present application, the following detailed description can be implemented according to the content of the description, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the following specific embodiments of the present application are described. BRIEF DESCRIPTION OF DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0010] Figure 1 A flowchart of a multi-channel parallel transmission optimization method for a silicon optical engine in an embodiment.

[0011] Figure 2 A system architecture diagram of a multi-channel parallel transmission optimization system for a silicon optical engine in an embodiment.

[0012] Explanation of reference signs: signal optimization module 11, coding processing module 12, encryption and decryption processing module 13, parallel transmission module 14. DETAILED DESCRIPTION

[0013] The embodiment of the present application provides a multi-channel parallel transmission optimization method and system for a silicon optical engine, and solves the technical problems of low transmission efficiency and unstable signal quality caused by the mismatch of signal transmission characteristics in the multi-channel parallel transmission process of the silicon optical engine.

[0014] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0015] It should be noted that the terms "comprising" and "having" and any change thereof are intended to cover the non-exclusive inclusion, for example, a process, method, system, product or server including a series of steps or units does not have to be limited to the clearly listed steps or units, but can include other steps or modules that are not clearly listed or inherent to the process, method, product or device.

[0016] Embodiment one, as shown in the figure, the present application provides a multi-channel parallel transmission optimization method for a silicon optical engine, the method comprises: Figure 1

[0017] Collecting the multi-channel transmission characteristics of the silicon optical engine, and optimizing the transmission signal of the silicon optical engine based on the multi-channel transmission characteristics to obtain an initial transmission signal.

[0018] ​In the embodiments of the present application, first, the multi-channel transmission characteristics of the silicon optical engine are collected. This process mainly involves performance analysis and testing of each transmission channel of the silicon optical engine to obtain the transmission characteristic parameters of each channel, including but not limited to insertion loss, crosstalk level and modulation error rate, etc. In order to ensure the accuracy and comprehensiveness of the data, high-precision measurement tools such as vector network analyzer, time domain reflectometer, etc. are usually used to test the response of each transmission channel in detail. After obtaining the characteristics of each transmission channel, a comprehensive analysis is performed on these characteristics to evaluate the interference or loss that may be generated in the parallel transmission process of each channel. In this process, for the insertion loss, the channels with larger insertion loss can be identified according to the collected insertion loss parameters. For these channels, the insertion loss can be compensated by adjusting the gain and amplitude of the signal. Specifically, when the insertion loss is large, the signal strength can be increased through a signal amplifier or digital pre-emphasis technology to ensure that the signal maintains sufficient energy during transmission. In addition, the amplitude of the signal can also be dynamically adjusted according to the insertion loss value of different channels to ensure that the signal can overcome attenuation and reduce loss during transmission in the optical waveguide, thereby improving the transmission efficiency. For crosstalk influence, the interference degree of adjacent channels can be evaluated based on the crosstalk level data (including crosstalk amplitude, phase, frequency, etc.). For channels with strong crosstalk, their working frequency can be adjusted to avoid frequency overlap or close-range interference between channels, thereby reducing the crosstalk effect. In addition, frequency multiplexing technology (such as WDM) can be introduced to allocate different signals to different frequency bands, thereby reducing the interference between channels. In this process, through real-time monitoring and optimization of the crosstalk level, the stability of the signal can be effectively improved, and data transmission errors can be reduced. For modulation error, the collected modulation error rate reflects the quality of the signal. By monitoring the error rate data of each channel, the distortion degree in the signal transmission can be evaluated. In order to improve the modulation error rate, the signal encoding scheme (such as LDPC, Turbo) can be adjusted to improve the anti-interference ability of the signal and ensure higher accuracy during signal transmission. In addition, noise suppression methods such as signal gain adjustment can be used to further reduce the influence of external noise on the signal, thereby improving the modulation quality and ensuring stable transmission of the signal. Through the above optimization and adjustment, the transmission efficiency of the signal in the silicon optical engine can be maximized, and the signal attenuation, crosstalk and loss can be minimized, thereby reducing the loss and interference of the signal during transmission. Through these optimization measures, an initial transmission signal is generated, which lays the foundation for subsequent encoding and decoding, encryption and decryption processing.

[0019] Further, the application also includes: optimizing the optical waveguide structure of the silicon optical engine by a predetermined optimization strategy, wherein the predetermined optimization strategy refers to manufacturing the optical waveguide structure by using a predetermined waveguide material, and the optical waveguide structure has a predetermined waveguide bending radius, a predetermined waveguide thickness, and the predetermined waveguide material has a high refractive index difference reaching a predetermined limit value.

[0020] Preferably, in the silicon optical engine, in order to improve the transmission performance of the optical waveguide structure, the optical waveguide structure is first designed and adjusted by a predetermined optimization strategy. Specifically, the predetermined optimization strategy first requires that a specific waveguide material be used to manufacture the optical waveguide structure, and the selection of the waveguide material is based on its excellent optical performance, especially its high refractive index difference, which needs to reach a predetermined limit value, so as to better guide the optical signal and reduce the leakage of the signal in the transmission process. In addition, the design of the optical waveguide structure needs to ensure that it has appropriate geometric parameters to ensure the optimization of its performance. The bending radius of the optical waveguide needs to reach a predetermined waveguide bending radius to avoid too small bending radius causing signal scattering or loss, and the thickness of the waveguide is also a key factor, which must meet the predetermined waveguide thickness to avoid excessive interference or attenuation of the transmission of the optical signal. By adjusting the thickness of the waveguide, it can effectively support the required bandwidth and reduce signal distortion. Through these optimization strategies, the optical waveguide structure will be able to efficiently transmit signals in the silicon optical engine, reduce optical loss, improve transmission rate and quality, and further enhance the overall performance.

[0021] Further, the application provides a method for collecting the multi-channel transmission characteristics of the silicon optical engine, including:

[0022] Obtaining a first transmission channel of the silicon optical engine; obtaining a predetermined transmission characteristic index, and detecting and analyzing the first transmission channel based on the predetermined transmission characteristic index to obtain a first transmission characteristic; and assembling the multi-channel transmission characteristics based on the first transmission characteristic; wherein the predetermined transmission characteristic index includes insertion loss, crosstalk level and modulation error rate.

[0023] Optionally, first, the first transmission channel of the silicon optical engine is determined by identifying and locating the unique identification of each channel in the silicon optical engine. Subsequently, predetermined transmission characteristic indicators are obtained, including insertion loss, crosstalk level and modulation error rate, wherein the insertion loss refers to the signal loss of the optical signal when passing through the optical waveguide due to factors such as fiber joint, bending and attenuation; the crosstalk level refers to the interference degree between different transmission channels, which usually occurs when there is leakage and coupling between the signals of adjacent channels, affecting the quality of the signal; the modulation error rate is an important indicator to measure the accuracy and stability of the modulation process of the signal in the transmission process. Then, according to these predetermined transmission characteristic indicators, the first transmission channel is detected and analyzed in detail, and the detection process includes obtaining various signal characteristic data related to the transmission channel, such as transmission loss, crosstalk, modulation error, etc. through optical power meter, network analyzer, spectrum analyzer and other equipment. Through the analysis of these data, the specific transmission characteristics of the first transmission channel are obtained, and these characteristics are taken as the first transmission characteristics. Then, the transmission characteristics of other transmission channels are obtained in the same way, and these transmission characteristics are stored together with the first transmission characteristics to construct the multi-channel transmission characteristics of the entire silicon optical engine. This process aims to help determine how to optimize the signal quality and efficiency in multi-channel parallel transmission by systematically analyzing the performance of each channel.

[0024] Further, the application provides obtaining predetermined transmission characteristic indicators and detecting and analyzing the first transmission channel based on the predetermined transmission characteristic indicators to obtain the first transmission characteristics, including:

[0025] The second transmission channel of the silicon optical engine is obtained, and the second transmission channel is an adjacent parallel channel with the first transmission channel. The first crosstalk characteristic between the first transmission channel and the second transmission channel is measured by using a vector network analyzer, and the first crosstalk characteristic includes crosstalk amplitude and crosstalk phase. The second crosstalk characteristic between the first transmission channel and the second transmission channel is tested under predetermined conditions, and the second crosstalk characteristic includes crosstalk frequency and wavelength characteristics. The crosstalk amplitude, crosstalk phase, crosstalk frequency and wavelength characteristics are analyzed to obtain the crosstalk level coefficient of the first transmission channel. The crosstalk level coefficient is added to the first transmission characteristics.

[0026] Optionally, when performing the detection analysis of the transmission channel, first, a second transmission channel adjacent to and parallel with the first transmission channel in the silicon optical engine is acquired, and then a vector network analyzer is used to measure the crosstalk characteristics between the first transmission channel and the second transmission channel. The vector network analyzer is a high-precision measurement tool that can accurately capture the amplitude and phase changes of the transmission signal, thereby analyzing the crosstalk between the channels and obtaining the first crosstalk characteristics, which include the crosstalk amplitude and the crosstalk phase. The crosstalk amplitude represents the intensity of the signal interference in the transmission process, and the crosstalk phase describes the relative timing difference of the interference signal. After the first crosstalk characteristics are measured, the second crosstalk characteristics between the first and second transmission channels need to be tested under predetermined conditions. The purpose of this process is to further accurately capture the crosstalk characteristics, obtain the crosstalk frequency and wavelength characteristics, and reflect the frequency range of the signal interference. The wavelength characteristics involve the propagation characteristics of the signal, which affect the coherence and stability of the signal. Subsequently, these crosstalk characteristics (including the crosstalk amplitude, the crosstalk phase, the crosstalk frequency, and the wavelength characteristics) are analyzed, and the crosstalk level coefficient of the first transmission channel is calculated by normalization weighting (first maximum-minimum normalization processing, and then weighted summation). This crosstalk level coefficient is a comprehensive index for measuring the anti-crosstalk ability of the first transmission channel in multi-channel transmission. Through this coefficient, the degree of possible interference of the signal in the transmission process can be evaluated. Finally, the calculated crosstalk level coefficient is added to the first transmission characteristics. In this way, the transmission characteristics of the first transmission channel more accurately reflect the crosstalk effect, thereby providing an important basis for subsequent optimization and signal transmission.

[0027] The predetermined coding and decoding mechanism is called, and the initial transmission signal is coded and decoded according to the predetermined coding and decoding mechanism to obtain a first transmission signal.

[0028] In one embodiment, the predetermined codec mechanism is first invoked, which is a technique used to process signals, including both encoding and decoding. The encoding process converts the original signal into a format suitable for transmission, while the decoding process restores the received signal to the original information. Specifically, the initial transmission signal is encoded according to the encoding scheme in the predetermined codec mechanism. Taking convolutional encoding as an example, assume that a 3-state convolutional encoder is used, and the encoding rate is selected to be 1 / 2, which means that for every input data bit, the encoder will output 2 bits. At the beginning of the encoding process, the initial transmission signal is sent bit by bit into the convolutional encoder, and the encoder processes and outputs two bits for each input bit based on its state. For example, for an input bit of 1, the convolutional encoder may output the bit pair 10; for an input bit of 0, it may output the bit pair 01. In this way, the encoder not only transmits the original data bits, but also generates redundant bits to help the receiving end correct errors that occur during signal transmission. After encoding, the bit sequence of the transmission signal becomes long, for example, the initial signal 110101101 may become 100111100011 after encoding. This long encoded signal not only contains the original data, but also carries redundant information, so that even if some interference occurs during signal transmission, the receiving end can still recover the original data through decoding. Subsequently, at the receiving end, the signal will be decoded by the predetermined decoding scheme to restore it to useful information or data. Still taking convolutional encoding as an example, the Viterbi algorithm in the predetermined decoding scheme is activated, which is a maximum likelihood sequence estimation method used to recover the most likely original data sequence from the received signal. The Viterbi algorithm calculates all possible state transition paths, selects the path that best matches the received signal, and returns the corresponding decoding output. The algorithm analyzes the received signal bit by bit, calculates each possible path based on the preset encoding rules, and selects the path with the smallest error to finally recover the data closest to the original signal. In this process, the Viterbi algorithm not only considers each transmission bit, but also optimally estimates the signal based on the known encoding rules. After Viterbi decoding, the original bit sequence 110101101 can be recovered, consistent with the initial transmission signal. Even if the signal is interfered to some extent during transmission, the redundant encoding information enables the receiving end to effectively correct errors and recover the original data, ensuring the reliability and accuracy of the signal. Finally, the signal after codec processing is the first transmission signal, which will have better transmission characteristics, such as higher interference immunity and lower bit error rate, ready for the next step of processing or transmission.

[0029] Further, the application provides that the predetermined coding and decoding mechanism comprises a predetermined encoding scheme and a predetermined decoding scheme, the predetermined encoding scheme being used for encoding the transmission signal at the sending end, and the predetermined decoding scheme being used for decoding the transmission signal at the receiving end.

[0030] Preferably, the predetermined coding and decoding mechanism comprises a predetermined encoding scheme and a predetermined decoding scheme. The predetermined encoding scheme is mainly used for encoding the transmission signal at the sending end. The goal of this process is to convert the original data into a format suitable for transmission, usually including compressing the signal, or adding redundant information through certain encoding methods (such as convolutional encoding, Turbo encoding, etc.), which helps to improve the anti-interference ability of the transmission signal when encountering interference or noise, and ensures that the signal can be correctly decoded at the receiving end. The predetermined decoding scheme is used for decoding the encoded transmission signal at the receiving end. At the receiving end, the received signal will usually be subject to various interferences, and the decoding scheme restores the original signal by applying the same or compatible decoding algorithm (such as Viterbi algorithm, maximum likelihood decoding, etc.) as the sending end. In the decoding process, errors in the signal are identified and corrected to ensure that the received data is consistent with the original data.

[0031] The predetermined encryption and decryption mechanism is invoked, and the initial transmission signal is encrypted and decrypted according to the predetermined encryption and decryption mechanism to obtain a second transmission signal.

[0032] In one embodiment, the predetermined encryption and decryption mechanism is first invoked, which is used to ensure the security of the signal during transmission, and includes a predetermined encryption scheme and a decryption scheme. The encryption mechanism is mainly applied at the sending end, which encrypts the initial transmission signal to convert the original signal into an encrypted format, preventing the signal from being intercepted or tampered with by unauthorized third parties during transmission. Specifically, the initial transmission signal is encrypted according to the encryption scheme in the predetermined encoding and decoding mechanism. Taking AES encryption as an example, AES is a symmetric encryption algorithm, which means that the same key is used in the encryption and decryption process. In the encryption process, a key (usually 128 bits, 192 bits or 256 bits long) and an initialization vector (IV) need to be set, which are the keys to the encryption and decryption process and ensure the security and randomness of the signal. Then, the binary signal is combined with the predetermined key and IV to perform encryption using the AES encryption algorithm. After encryption, the original signal becomes unreadable encrypted data, for example, 110101101 may become "XJ! #34df34...". This encrypted signal, i.e., the second transmission signal, will be transmitted as protected data in the network, ensuring that the signal is not accessed or tampered with by unauthorized third parties during transmission. Then, at the receiving end, the predetermined decryption scheme will decrypt the received encrypted signal to restore the original transmission signal. Still taking AES encryption as an example, after receiving the signal encrypted by AES (i.e., the second transmission signal), the receiving end will use the same key and initialization vector (IV) to perform AES decryption, i.e., input the encrypted signal, the key and IV into the AES decryption algorithm. In the decryption process, the AES algorithm will process the encrypted signal in reverse to restore the original binary data stream. In this process, the receiving end uses the key and IV in the decryption process to reverse the encryption process and remove redundant encryption information to restore the original signal. For example, after AES decryption, the received encrypted data "XJ! #34df34..." will be restored to the original binary data 110101101, which is consistent with the signal initially transmitted by the sending end. Through this decryption process, the receiving end can accurately restore the original data, ensuring that the data is not tampered with during transmission and maintaining the integrity and confidentiality of the data.

[0033] Further, the present application provides that the predetermined encryption and decryption mechanism includes a predetermined encryption scheme and a predetermined decryption scheme, the predetermined encryption scheme is used for transmission signal encryption at the sending end, and the predetermined decryption scheme is used for transmission signal decryption at the receiving end.

[0034] Optionally, the predetermined encryption and decryption mechanism includes a predetermined encryption scheme and a predetermined decryption scheme. The predetermined encryption scheme is used for encryption processing of the transmission signal at the sending end. In the encryption process, the original data is converted into an encrypted format, ensuring the security and confidentiality of the signal during transmission. The encryption scheme usually uses a specific encryption algorithm (such as AES, RSA, etc.) and a key to prevent unauthorized third parties from intercepting or tampering with the signal during transmission. The predetermined decryption scheme is applied at the receiving end for decryption processing of the received encrypted signal. The purpose of decryption is to restore the encrypted signal to the original transmission data, ensuring that the receiving end can correctly obtain and use the signal content. The decryption process usually uses the same key and decryption algorithm as the encryption process, ensuring that only authorized recipients can recover the original data.

[0035] The second transmission signal is taken as a target transmission signal of the silicon light engine, and the target transmission signal is transmitted in parallel.

[0036] In one embodiment, taking the second transmission signal as the target transmission signal of the silicon light engine means that the signal (i.e. the second transmission signal) after encryption, encoding, etc. processing at the sending end will be the final transmission signal, ready for transmission through the silicon light engine. This target transmission signal already contains all necessary processing information, such as encryption protection, redundant data, etc., to ensure the security and stability of the signal. Then, the target transmission signal is transmitted in parallel, i.e. the signal is distributed to multiple transmission channels for simultaneous transmission to improve transmission efficiency and bandwidth utilization. In the silicon light engine, multi-channel parallel transmission is usually achieved through different optical waveguides or other transmission media. Through parallel transmission, the data transmission process can be effectively accelerated, the delay can be reduced, and the overall throughput and reliability can be improved.

[0037] Further, the application provides that the second transmission signal is taken as a target transmission signal of the silicon light engine, and the target transmission signal is transmitted in parallel, further comprising:

[0038] The target transmission signal is dynamically monitored to obtain real-time transmission information; the real-time signal quality in the real-time transmission information is extracted, and the real-time signal quality is normalized and weighted to obtain a signal quality index; if the signal quality index does not reach a predetermined quality limit, a first warning signal is issued; and based on the first warning signal, a transmission anomaly warning is issued for the silicon light engine.

[0039] Preferably, during the signal transmission process, dynamic transmission monitoring of the target transmission signal is performed, the state and performance of the transmission signal are continuously monitored, and information related to the transmission process is obtained in real time. These real-time transmission information includes signal strength, delay, transmission rate and other parameters, which are used to evaluate the health status and transmission quality of the signal. Subsequently, real-time signal quality indicators are extracted from these real-time transmission information, which may include bit error rate, signal-to-noise ratio, etc., for quantifying the quality of the signal, and then the signal quality is normalized and weighted for analysis, i.e., according to the preset standard, each signal quality indicator is weighted to obtain a comprehensive signal quality index. This signal quality index represents the overall quality of the signal in the current transmission environment, and a higher index means better signal quality. If the obtained signal quality index does not reach the predetermined quality limit value, the system will issue a first warning signal, indicating that there is a problem with the signal quality, which may affect the stability or reliability of the transmission. Based on this first warning signal, the silicon optical engine will start the transmission abnormality warning mechanism for further diagnosis and processing, including adjusting the transmission parameters, optimizing the signal path, etc. to ensure that the signal quality in the transmission process is restored and prevent potential problems from affecting the system.

[0040] Further, the application provides a transmission abnormality warning for the silicon optical engine based on the first warning signal, including:

[0041] Based on the first warning signal, the multi-channel transmission characteristics are analyzed, and real-time pre-emphasis parameters are determined, and the real-time pre-emphasis parameters include real-time digital pre-emphasis and real-time analog pre-emphasis; the silicon optical engine is dynamically optimized through the real-time digital pre-emphasis and the real-time analog pre-emphasis; wherein the real-time digital pre-emphasis compensates for the attenuation and distortion of the signal in the transmission process by adjusting the amplitude and phase of the signal, and the real-time analog pre-emphasis adjusts the amplitude of the signal through a hardware circuit.

[0042] Optionally, after receiving the first early warning signal, a detailed analysis of the multi-channel transmission characteristics is performed to identify potential problems in signal transmission. First, the insertion loss of each channel is checked, which refers to the attenuation of the signal during transmission due to fiber connections, waveguides or other factors. A larger insertion loss indicates that the signal strength has significantly decreased during transmission, which requires special attention. Then, crosstalk between channels is analyzed to evaluate the interference between different transmission channels. Excessive crosstalk can cause adjacent channel signals to interfere with each other, affecting the overall signal quality, which must be identified and addressed in a timely manner. In addition, the signal-to-noise ratio (SNR) and bit error rate (BER) of each channel are evaluated. A lower SNR indicates that the signal is more affected by noise, while a higher BER means that there are more errors in the signal during transmission, which may be caused by signal attenuation, interference or distortion. Through the analysis of these indicators, it can be determined which channels have poor signal quality and need to be optimized. After completing these analyses, the areas that need to be optimized are identified based on the transmission characteristics of each channel, and appropriate real-time pre-emphasis parameters are determined. For channels with significant signal attenuation or severe distortion, the neural network (constructed through the steps of forward propagation, loss calculation, back propagation, parameter optimization, etc.) is used to analyze the transmission characteristic parameters of the channel, calculate the required real-time pre-emphasis parameters, including real-time digital pre-emphasis and real-time analog pre-emphasis, which compensate and optimize the signal from different technical perspectives. Real-time digital pre-emphasis compensates for signal attenuation and distortion during transmission by dynamically adjusting the amplitude and phase of the signal. Specifically, real-time digital pre-emphasis processes the signal to adjust its amplitude (intensity) and phase (timing), thereby correcting the attenuation or phase distortion that may occur during transmission, ensuring that the signal can be correctly recovered at the receiving end. On the other hand, real-time analog pre-emphasis adjusts the amplitude of the signal through hardware circuits, unlike digital pre-emphasis, which directly adjusts the amplitude of the signal through hardware circuits to compensate for physical attenuation of the signal during transmission. In this way, real-time analog pre-emphasis can compensate for the intensity of the signal in real time, ensuring the quality of the signal during transmission. The combination of these two pre-emphasis methods enables the silicon optical engine to dynamically optimize the signal during transmission, adjust and improve the quality of the transmission signal in real time according to different transmission environments and signal problems, thereby improving the reliability and stability of multi-channel transmission.

[0043] Further, the present application provides, after dynamically monitoring the target transmission signal and obtaining real-time transmission information, comprising:

[0044] extracting the real-time engine temperature in the real-time transmission information; if the real-time engine temperature reaches a predetermined temperature limit, issuing a second early warning signal; and based on the second early warning signal, issuing an operation anomaly early warning for the silicon optical engine.

[0045] Optionally, first, the real-time engine temperature, a key parameter, is extracted from the real-time transmission information. This temperature data reflects the current working state of the silicon light engine, especially when running for a long time or under high load, temperature changes may affect performance and stability. Then, the extracted real-time engine temperature is compared with the preset temperature limit value. If the real-time engine temperature reaches or exceeds the predetermined limit value, a second warning signal will be sent out, indicating that the temperature anomaly may cause the device to run unstable or damaged. The triggering of the second warning signal is to remind the operator to take timely measures to avoid failures caused by high temperature. Finally, based on the triggered second warning signal, the operation abnormality warning of the silicon light engine will be started. This step may include automatically adjusting the working state of the engine, reducing the load or starting the cooling system to ensure that the silicon light engine runs in a safe temperature range, preventing potential risks and failures caused by overheating.

[0046] In summary, the embodiments of the present application have at least the following technical effects:

[0047] First, the multi-channel transmission characteristics of the silicon light engine are collected, and the transmission signal of the silicon light engine is optimized based on the multi-channel transmission characteristics to obtain an initial transmission signal. Then, a predetermined encoding and decoding mechanism is called, and the initial transmission signal is encoded and decoded according to the predetermined encoding and decoding mechanism to obtain a first transmission signal. After that, a predetermined encryption and decryption mechanism is called, and the initial transmission signal is encrypted and decrypted according to the predetermined encryption and decryption mechanism to obtain a second transmission signal. The second transmission signal is used as the target transmission signal of the silicon light engine, and the target transmission signal is transmitted in parallel. These technical effects collectively solve the technical problems of low transmission efficiency and unstable signal quality caused by mismatching of signal transmission characteristics during multi-channel parallel transmission of the silicon light engine, achieving the technical effects of improving the efficiency of multi-channel parallel transmission, and improving the stability and transmission quality of the signal through transmission characteristic compensation and optimization of decoding and decryption mechanism.

[0048] Embodiment two, based on the same inventive concept as the multi-channel parallel transmission optimization method for silicon light engines in the foregoing embodiments, such as Figure 2As shown, the present application provides a multi-channel parallel transmission optimization system for a silicon optical engine, which comprises: a signal optimization module 11: collecting multi-channel transmission characteristics of a silicon optical engine, and optimizing transmission signals of the silicon optical engine based on the multi-channel transmission characteristics to obtain initial transmission signals; a coding and decoding processing module 12: calling a predetermined coding and decoding mechanism, and coding and decoding the initial transmission signals according to the predetermined coding and decoding mechanism to obtain first transmission signals; an encryption and decryption processing module 13: calling a predetermined encryption and decryption mechanism, and encrypting and decrypting the initial transmission signals according to the predetermined encryption and decryption mechanism to obtain second transmission signals; and a parallel transmission module 14: taking the second transmission signals as target transmission signals of the silicon optical engine, and performing parallel transmission on the target transmission signals.

[0049] Further, the signal optimization module 11 is further used to execute the following method:

[0050] Optimizing the optical waveguide structure of the silicon optical engine with a predetermined optimization strategy, wherein the predetermined optimization strategy refers to using a predetermined waveguide material to manufacture the optical waveguide structure, and the optical waveguide structure has a predetermined waveguide bending radius, a predetermined waveguide thickness, and the high refractive index difference of the predetermined waveguide material reaches a predetermined limit value.

[0051] Further, the signal optimization module 11 is further used to execute the following method:

[0052] Obtaining a first transmission channel of the silicon optical engine; obtaining a predetermined transmission characteristic index, and detecting and analyzing the first transmission channel based on the predetermined transmission characteristic index to obtain a first transmission characteristic; and assembling the multi-channel transmission characteristics based on the first transmission characteristic; wherein the predetermined transmission characteristic index includes insertion loss, crosstalk level and modulation error rate.

[0053] Further, the signal optimization module 11 is further used to execute the following method:

[0054] Obtaining a second transmission channel of the silicon optical engine, and the second transmission channel and the first transmission channel are adjacent parallel channels; measuring the first crosstalk characteristic between the first transmission channel and the second transmission channel by using a vector network analyzer, and the first crosstalk characteristic includes crosstalk amplitude and crosstalk phase; testing the second crosstalk characteristic between the first transmission channel and the second transmission channel under a predetermined condition, wherein the second crosstalk characteristic includes crosstalk frequency and wavelength characteristics; analyzing the crosstalk amplitude, crosstalk phase, crosstalk frequency and wavelength characteristics to obtain a crosstalk level coefficient of the first transmission channel; and adding the crosstalk level coefficient to the first transmission characteristic.

[0055] Further, the coding and decoding processing module 12 is further used to execute the following method:

[0056] The predetermined coding and decoding mechanism includes a predetermined encoding scheme and a predetermined decoding scheme, the predetermined encoding scheme is used for encoding the transmission signal at the sending end, and the predetermined decoding scheme is used for decoding the transmission signal at the receiving end.

[0057] Further, the encryption and decryption processing module 13 is also used to execute the following method:

[0058] The predetermined encryption and decryption mechanism includes a predetermined encryption scheme and a predetermined decryption scheme, the predetermined encryption scheme is used for encrypting the transmission signal at the sending end, and the predetermined decryption scheme is used for decrypting the transmission signal at the receiving end.

[0059] Further, the parallel transmission module 14 is also used to execute the following method:

[0060] The target transmission signal is dynamically monitored to obtain real-time transmission information; real-time signal quality in the real-time transmission information is extracted, and the real-time signal quality is normalized and weighted to obtain a signal quality index; if the signal quality index does not reach a predetermined quality limit, a first warning signal is sent; and the silicon light engine is warned of transmission abnormalities based on the first warning signal.

[0061] Further, the parallel transmission module 14 is also used to execute the following method:

[0062] Based on the first warning signal, the multi-channel transmission characteristics are analyzed, and a real-time pre-emphasis parameter is determined, and the real-time pre-emphasis parameter includes real-time digital pre-emphasis and real-time analog pre-emphasis; the silicon light engine is dynamically optimized through the real-time digital pre-emphasis and the real-time analog pre-emphasis; wherein the real-time digital pre-emphasis compensates for the attenuation and distortion of the signal in the transmission process by adjusting the amplitude and phase of the signal, and the real-time analog pre-emphasis adjusts the amplitude of the signal through a hardware circuit.

[0063] Further, the parallel transmission module 14 is also used to execute the following method:

[0064] The real-time engine temperature in the real-time transmission information is extracted; if the real-time engine temperature reaches a predetermined temperature limit, a second warning signal is sent; and the silicon light engine is warned of abnormal operation based on the second warning signal.

[0065] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. The above describes a specific embodiment of the present application. The processes depicted in the drawings do not necessarily require the specific order and continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are possible or can be advantageous.

[0066] The above description is merely exemplary of the application, one skilled in the art will readily devise many variations of the preferred embodiments without departing from the scope of the application. Accordingly, the application is not limited as exemplified above, but is only limited as by the claims.

[0067] The specification and drawings are, of course, exemplary only and serve only as an example of the application. It will be readily understood that various modifications and changes in form or details can be made thereto by those skilled in the art without departing from the spirit of the application. It is therefore intended that the application be limited only by the scope of the appended claims, all changes and modifications that come within the meaning and range of equivalents are to be embraced by the claims.

Claims

1. A multi-channel parallel transmission optimization method for silicon photonic engines, characterized in that: include: Collecting and obtaining multi-channel transmission characteristics of a silicon photonic engine, and optimizing a transmission signal of the silicon photonic engine based on the multi-channel transmission characteristics to obtain an initial transmission signal; Retrieving a predetermined coding and decoding mechanism, and performing coding and decoding processing on the initial transmission signal according to the predetermined coding and decoding mechanism to obtain a first transmission signal; Retrieving a predetermined encryption and decryption mechanism, and performing encryption and decryption processing on the initial transmission signal according to the predetermined encryption and decryption mechanism to obtain a second transmission signal; The second transmission signal is used as the target transmission signal of the silicon photonic engine, and the target transmission signal is transmitted in parallel.

2. The multi-channel parallel transmission optimization method for silicon photonic engines according to claim 1, characterized in that: Also includes: The optical waveguide structure of the silicon photonic engine is optimized using a predetermined optimization strategy, wherein the predetermined optimization strategy is to use a predetermined waveguide material to manufacture the optical waveguide structure, and the optical waveguide structure has a predetermined waveguide bending radius and a predetermined waveguide thickness, and the high refractive index difference of the predetermined waveguide material reaches a predetermined limit.

3. The multi-channel parallel transmission optimization method for silicon photonic engines according to claim 1, characterized in that: The multi-channel transmission characteristics of the silicon photonic engine are collected, including: Acquire a first transmission channel of the silicon photonic engine; Obtaining a predetermined transmission characteristic index, and detecting and analyzing the first transmission channel based on the predetermined transmission characteristic index to obtain a first transmission characteristic; Establishing the multi-channel transmission characteristic based on the first transmission characteristic; The predetermined transmission characteristic indicators include insertion loss, crosstalk level and modulation error rate.

4. The multi-channel parallel transmission optimization method for silicon photonic engines according to claim 3, characterized in that: Obtaining a predetermined transmission characteristic indicator, and detecting and analyzing the first transmission channel based on the predetermined transmission characteristic indicator to obtain a first transmission characteristic, including: Acquire a second transmission channel of the silicon photonic engine, where the second transmission channel and the first transmission channel are adjacent parallel channels; A vector network analyzer is used to measure and obtain a first crosstalk characteristic between the first transmission channel and the second transmission channel, where the first crosstalk characteristic includes a crosstalk amplitude and a crosstalk phase; obtaining a second crosstalk characteristic between the first transmission channel and the second transmission channel by testing under predetermined conditions, wherein the second crosstalk characteristic includes crosstalk frequency and wavelength characteristics; Analyzing the crosstalk amplitude, crosstalk phase, crosstalk frequency, and wavelength characteristics to obtain a crosstalk level coefficient of the first transmission channel; The crosstalk level coefficient is added to the first transmission characteristic.

5. The multi-channel parallel transmission optimization method for silicon photonic engines according to claim 1, characterized in that: The predetermined coding and decoding mechanism includes a predetermined coding scheme and a predetermined decoding scheme. The predetermined coding scheme is used to encode the transmission signal at the transmitting end, and the predetermined decoding scheme is used to decode the transmission signal at the receiving end.

6. The multi-channel parallel transmission optimization method for silicon photonic engines according to claim 1, characterized in that: The predetermined encryption and decryption mechanism includes a predetermined encryption scheme and a predetermined decryption scheme. The predetermined encryption scheme is used to encrypt the transmission signal at the sending end, and the predetermined decryption scheme is used to decrypt the transmission signal at the receiving end.

7. The multi-channel parallel transmission optimization method for silicon photonic engines according to claim 1, characterized in that: After using the second transmission signal as the target transmission signal of the silicon photonic engine and transmitting the target transmission signal in parallel, the method further includes: Performing dynamic transmission monitoring on the target transmission signal to obtain real-time transmission information; extracting real-time signal quality from the real-time transmission information, and performing normalized weighted analysis on the real-time signal quality to obtain a signal quality index; If the signal quality index does not reach a predetermined quality limit, issuing a first warning signal; A transmission abnormality warning is issued to the silicon photonic engine based on the first warning signal.

8. The multi-channel parallel transmission optimization method for silicon photonic engines according to claim 7, characterized in that: Providing a transmission abnormality warning to the silicon photonic engine based on the first warning signal includes: Analyzing the multi-channel transmission characteristics based on the first warning signal and determining real-time pre-emphasis parameters, wherein the real-time pre-emphasis parameters include real-time digital pre-emphasis and real-time analog pre-emphasis; Dynamically optimizing transmission of the silicon photonic engine by using the real-time digital pre-emphasis and the real-time analog pre-emphasis; The real-time digital pre-emphasis compensates for the attenuation and distortion of the signal during transmission by adjusting the amplitude and phase of the signal, and the real-time analog pre-emphasis implements the amplitude adjustment of the signal through a hardware circuit.

9. The multi-channel parallel transmission optimization method for silicon photonic engines according to claim 7, wherein: After dynamically monitoring the target transmission signal to obtain real-time transmission information, the method includes: extracting the real-time engine temperature from the real-time transmission information; If the real-time engine temperature reaches a predetermined temperature limit, a second warning signal is issued; An abnormal operation warning is issued to the silicon photonic engine based on the second warning signal.

10. A multi-channel parallel transmission optimization system for silicon photonic engines, characterized by: The system is used to execute the multi-channel parallel transmission optimization method for a silicon photonic engine according to any one of claims 1 to 9, comprising: Signal optimization module: collects and obtains the multi-channel transmission characteristics of the silicon photonic engine, and optimizes the transmission signal of the silicon photonic engine based on the multi-channel transmission characteristics to obtain an initial transmission signal; A codec processing module: calls a predetermined codec mechanism, and performs codec processing on the initial transmission signal according to the predetermined codec mechanism to obtain a first transmission signal; The encryption and decryption processing module is configured to call a predetermined encryption and decryption mechanism, and perform encryption and decryption processing on the initial transmission signal according to the predetermined encryption and decryption mechanism to obtain a second transmission signal; Parallel transmission module: uses the second transmission signal as the target transmission signal of the silicon photonic engine, and transmits the target transmission signal in parallel.

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