A multi-wavelength transmission system for micro-led wide and slow data interconnection

Abstract

The present application relates to the technical field of optical communication and optoelectronic integration, and particularly relates to a multi-wavelength transmission system for MicroLED wide and slow data interconnection, which is based on the inherent RGB three-primary color light emitting characteristics of MicroLED, realizes parallel transmission of multi-wavelength signals in a single optical fiber transmission channel, dynamically coordinates and allocates the transmission throughput speed of each wavelength by monitoring the quality state of each wavelength channel in real time, realizes high-bandwidth, high-reliability and low-power wide and slow data interconnection at a low single-channel rate, and fills the gap in resource optimization and dynamic adaptation in the prior art.

Description

Technical Field

[0001] This invention relates to the technical field of optical communication and optoelectronic integration, specifically to a multi-wavelength transmission system for wide and slow data interconnection of MicroLEDs. Background Technology

[0002] With the rapid development of artificial intelligence, big data centers, and the Internet of Things (IoT) technologies, the demand for high bandwidth, low power consumption, and interference resistance in short-distance data interconnection is becoming increasingly urgent. Traditional electrical interconnection technologies, limited by electromagnetic interference, bandwidth bottlenecks, and high power consumption, are no longer sufficient to meet the needs of next-generation data transmission, making optical interconnection technology the core alternative.

[0003] MicroLEDs, as novel electro-optical conversion devices, possess advantages such as high brightness, low power consumption, long lifespan, and high integration. Compared to traditional VCSEL devices, they do not require complex digital signal processing algorithms, resulting in a simpler system structure and significant application potential in short-distance optical interconnects. Among these, the luminescence characteristics of MicroLEDs exhibit clear patterns, with blue light (450nm) emission being the easiest to achieve, followed by green light (520nm) and red light (650nm). Devices of these three wavelengths have the highest maturity and the strongest feasibility for mass production.

[0004] In existing short-distance optical interconnect systems, single-fiber transmission often adopts a single-wavelength architecture, resulting in low spectrum utilization and difficulty in meeting the high bandwidth requirements of "wide and slow" scenarios. Some multi-wavelength solutions only achieve parallel signal transmission and lack the ability to monitor the quality status of each wavelength channel in real time. They cannot dynamically coordinate throughput speed according to channel performance, which can easily lead to the waste of high-quality channel resources and excessively high bit error rate of low-quality channels.

[0005] Therefore, there is an urgent need for a MicroLED optical transmission system that can achieve parallel transmission of multiple wavelengths within a single optical fiber, has real-time wavelength quality monitoring capabilities, and can dynamically coordinate throughput speed. This system aims to overcome the performance limitations of existing solutions and meet the practical needs of "wide but slow" data interconnection. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention provides a multi-wavelength transmission system for wide and slow data interconnection in MicroLEDs, solving the problems mentioned in the background section. Technical solution

[0007] To achieve the above objectives, the present invention provides the following technical solution: a multi-wavelength transmission system for wide and slow data interconnection in MicroLED, characterized in that it comprises: The transmitting end is used to allocate, encode, and electro-optically convert data streams, with a core focus on enhancing throughput coordination and adaptation capabilities; its features include: The adaptive data allocation and throughput coordination module receives high-speed data streams from external input and dynamically adjusts the data allocation ratio and transmission speed of each wavelength parallel processing link. An elastic buffer array is configured with an independent elastic buffer for each parallel processing link to decouple the clock domain difference between the input data stream and the throughput speed of each channel, and to buffer the data to be processed. The repetitive encoding module has one repetitive encoder for each parallel processing link, and the encoding parameters are linked to the throughput speed. The 64b / 66b encoder performs 64b / 66b encoding on the repetitive encoded data to achieve DC balance and code block synchronization. The RGB multi-wavelength MicroLED array consists of three independent sub-arrays for blue light, green light, and red light. Each sub-array contains several MicroLED units, which are used to convert the encoded electrical signal into an optical signal of the corresponding wavelength. The wavelength multiplexing module, implemented using a diffraction grating or thin-film filter, efficiently couples RGB three-wavelength optical signals into a single fiber transmission channel for transmission. The receiver, used for receiving, decoding, data aggregation, and wavelength quality monitoring of optical signals, is a mirror image of the transmitter architecture. Its features include: The wavelength demultiplexing module is precisely matched with the wavelength multiplexing module at the transmitting end, separating the multi-wavelength mixed optical signal transmitted through a single fiber transmission channel into three independent optical signals: blue light, green light, and red light, which are then transmitted to the corresponding wavelength photoelectric detection and quality monitoring links. The multi-wavelength photodetector array consists of MicroPD and TIA corresponding to RGB wavelengths; the MicroPD converts the optical signal into a weak current signal; the TIA amplifies it and converts it into a stable voltage signal, which is then output to the decoding link and the quality monitoring link. The wavelength quality monitoring module is equipped with an independent monitoring unit for each wavelength channel, which collects the TIA output signal in real time and obtains the real-time quality status data of each wavelength channel through bit error rate testing, signal-to-noise ratio detection and eye diagram margin analysis. The input buffer and CDR circuit buffer the voltage signal output from the front end, and extract the synchronous clock and serial data through the clock data recovery (CDR) circuit. The synchronization and decoding module includes a synchronization unit, a 64b / 66b decoder, and a repetition decoder; the synchronization unit locks the frame header and code block boundaries; the 64b / 66b decoder restores the original data block; and the repetition decoder decodes repetitive data based on the repetition factor of the corresponding channel through a majority voting principle. The data aggregator reassembles and aggregates the data streams decoded from the three wavelength channels in their original order, and outputs a high-speed data stream that is consistent with the input of the transmitter, thus completing the entire transmission process. The central control unit, as the core control module, precisely regulates the throughput speed and transmission parameters of each wavelength channel; its features include: Real-time quality monitoring and data acquisition: periodically receive BER, SNR and eye margin data uploaded by the wavelength quality monitoring module at the receiving end; Channel performance evaluation and classification: Based on the collected quality data, a multi-dimensional performance evaluation model is established to classify each wavelength channel into high-quality channels, medium-quality channels, and low-quality channels, providing a quantitative basis for throughput allocation; Throughput speed is dynamically coordinated and allocated based on channel performance level and total bandwidth requirements to formulate throughput speed allocation strategies; Online parameter reconfiguration and feedback optimization are achieved by inserting control frames into the data stream to synchronously notify the transmitter and receiver to update parameters such as throughput and repetition factor.

[0008] Preferably, the linkage between the repetition encoding module and the throughput speed is as follows: First, a mapping function F(T) is defined, where T represents the throughput speed of the channel; this function is used to calculate the repetition factor R that should be configured under a given throughput speed; when the throughput speed T is within the preset interval [T_min, T_max], the repetition factor R is determined according to the formula R=F(T)=a*(1-T / T_max)+b, where a and b are adjustment parameters.

[0009] Preferably, in order to facilitate quick lookup of the repetition factor corresponding to different throughput speeds, a lookup table (LUT) is constructed, where the horizontal axis represents different throughput speed levels and the vertical axis corresponds to the optimal repetition factor recommendation value for each level.

[0010] Preferably, the majority voting principle is implemented at the hardware level using programmable logic devices such as FPGAs or ASICs.

[0011] Preferably, the eye diagram margin analysis captures signals from specific wavelength channels and converts them into an eye diagram for display.

[0012] Preferably, the control link between the central control unit and the transmitter / receiver is implemented using out-of-band transmission.

[0013] Preferably, the dynamic coordination and allocation of throughput speed includes the following steps: S1. Initialization phase: When the system starts up or restarts, the quality of all channels involved in data transmission is assessed and classified into one of three categories: high quality, medium quality, or poor quality. S2. Real-time monitoring and evaluation: By continuously monitoring the status information of each channel, including but not limited to signal strength, noise level, actual transmission rate, etc., its performance level classification is updated regularly. S3, Dynamic Adjustment Logic; S4. Synchronously update parameters. Once it is decided to adjust the throughput settings of each channel, the relevant instructions will be sent to the data distribution module at the transmitting end and the decoding processing unit at the receiving end at the same time.

[0014] Preferably, the dynamic adjustment logic is as follows: when the total bandwidth demand increases, priority is given to increasing the throughput of high-quality channels until the upper limit is reached; if the total bandwidth decreases, the opposite strategy is adopted; when a new channel is added or removed, the optimal allocation scheme of all channels will be recalculated according to the latest status; in the event of sudden interference causing some channels to be temporarily unavailable, redundant bandwidth will be immediately activated as a temporary supplement, and alternative paths will be found or services in the affected areas will be restored as soon as possible.

[0015] (III) Beneficial Effects This invention provides a multi-wavelength transmission system for wide and slow data interconnection in MicroLED, which has the following advantages: 1. Enables parallel transmission of RGB three-wavelength signals within a single fiber transmission channel without the need for additional fiber resources. Compared to single-wavelength solutions, this improves spectrum utilization. In "wide but slow" scenarios, high overall bandwidth can be achieved by superimposing low single-channel rates, significantly reducing transmission link costs.

[0016] 2. By monitoring the quality status of each wavelength channel in real time and dynamically coordinating the allocation of throughput speed, high-quality channel resources are fully utilized, while low-quality channels are guaranteed to be reliable through speed reduction and redundant coding. This solves the problems of resource waste and high bit error rate caused by the traditional one-size-fits-all transmission, and achieves a precise balance between reliability and resource utilization.

[0017] 3. The design closely follows the inherent light-emitting characteristics of MicroLED blue light (450nm), green light (520nm), and red light (650nm). The device has high maturity and low mass production cost. At the same time, the modular design is compatible with existing fiber optic transmission links, eliminating the need for large-scale hardware environment modifications and facilitating engineering implementation.

[0018] 4. By adopting repeated encoding and decoding instead of complex DSP equalization algorithms, and combining the low power consumption advantages of MicroLED, the overall power consumption of the system is reduced compared with traditional multi-wavelength solutions; the closed-loop coordination mechanism is simple to implement in hardware, requiring no additional complex optical components, and is suitable for short-distance low-power interconnection needs between data center boards and chips.

[0019] 5. The closed-loop dynamic coordination mechanism can respond in real time to changes in channel quality caused by device aging and environmental interference. Through adaptive adjustment of throughput speed and encoding parameters, it ensures long-term stable operation of the system and has strong environmental adaptability and fault tolerance. Attached Figure Description

[0020] Figure 1This is a schematic diagram of the overall system solution of the present invention; Figure 2 This is a schematic block diagram of the transmitter. Figure 3 This is a schematic block diagram of the receiving end; Figure 4 This is a schematic diagram showing the coupling of an RGB multi-wavelength MicroLED array with a single fiber transmission channel. Figure 5 A schematic diagram illustrating the dynamic coordination and allocation of throughput speed; Detailed Implementation

[0021] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0022] In this application, the terms "upper," "lower," "inner," "middle," "outer," "front," and "rear," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are primarily for the purpose of better describing this application and its embodiments, and are not intended to limit the indicated device, element, or component to having a specific orientation, or to be constructed and operated in a specific orientation.

[0023] Furthermore, in addition to indicating location or positional relationship, some of the aforementioned terms may also have other meanings. For example, the term "above" may also be used in some cases to indicate a certain dependency or connection relationship. Those skilled in the art can understand the specific meaning of these terms in this application based on the specific circumstances.

[0024] Example 1: Please refer to Figures 1 to 5 This invention provides a technical solution: a multi-wavelength transmission system for wide and slow data interconnection in MicroLED, characterized in that it includes: The transmitting end is used to allocate, encode, and electro-optically convert data streams, with a core focus on enhancing throughput coordination and adaptation capabilities; its features include: The adaptive data allocation and throughput coordination module receives high-speed data streams from external inputs and dynamically adjusts the data allocation ratio and transmission speed of each wavelength parallel processing link based on the quality assessment results and throughput allocation instructions issued by the central control unit. For channels with high quality (low BER, high SNR), higher throughput speed and data volume are allocated; for channels with low quality (high BER, low SNR), the throughput speed is reduced and the redundancy coding strength is increased, achieving a precise match between throughput speed and channel quality. The elastic buffer array configures an independent FIFO elastic buffer for each parallel processing link, decouples the clock domain difference between the input data stream and the throughput speed of each channel, buffers the data to be processed, prevents data overflow or blocking caused by rate mismatch, ensures smooth data stream transmission, and adapts to the dynamic adjustment requirements of throughput speed. The repetition coding module assigns one repetition encoder to each parallel processing link. The coding parameters are linked to the throughput speed and are dynamically configured by the central control unit. Channels with higher throughput speeds are configured with lower repetition factors (minimum 1, no redundancy); channels with lower throughput speeds are configured with higher repetition factors. Redundant coding is used to compensate for channel quality defects and ensure transmission reliability. The 64b / 66b encoder performs 64b / 66b encoding on the repetitively encoded data, converting the 64-bit data block into a 66-bit code block (including a 2-bit synchronization header), achieving DC balance and code block synchronization, avoiding optical signal baseline drift, and laying the foundation for accurate decoding and quality monitoring at the receiver.

[0025] The RGB multi-wavelength MicroLED array consists of three independent sub-arrays: blue (450nm), green (520nm), and red (650nm). Each sub-array contains several MicroLED units, which are used to convert the encoded electrical signal into an optical signal of the corresponding wavelength. It is implemented using monolithic integration (quantum dot color conversion) or heterogeneous integration (three-color chip mounting) to adapt to the inherent light-emitting characteristics of MicroLEDs and ensure stable emission of multi-wavelength signals. The wavelength multiplexing module, implemented using a diffraction grating or thin-film filter, efficiently couples RGB three-wavelength optical signals into a single fiber transmission channel (a single visible light-adaptive multimode fiber) for transmission, eliminating the need for additional fiber resources, significantly improving the single fiber spectrum utilization, and meeting the high bandwidth requirements of wide and slow scenarios. The receiver, used for receiving, decoding, data aggregation, and wavelength quality monitoring of optical signals, mirrors the architecture of the transmitter. Its core features a newly added quality monitoring link. Its distinguishing characteristic is that it includes: The wavelength demultiplexing module is precisely matched with the wavelength multiplexing module at the transmitting end, separating the multi-wavelength mixed optical signal transmitted through a single fiber transmission channel into three independent optical signals: blue light, green light, and red light, which are then transmitted to the corresponding wavelength photoelectric detection and quality monitoring links. The multi-wavelength photodetector array consists of MicroPDs (micro photodetectors) and TIAs (transimpedance amplifiers) corresponding to RGB wavelengths. The MicroPD converts the optical signal into a weak current signal, and the TIA amplifies it and converts it into a stable voltage signal, which is then output to the decoding link and the quality monitoring link. The wavelength quality monitoring module is equipped with an independent monitoring unit for each wavelength channel. It collects TIA output signals in real time and obtains real-time quality status data of each wavelength channel through bit error rate (BER) testing, signal-to-noise ratio (SNR) detection and eye diagram margin analysis. The monitoring results are uploaded to the central control unit as the core basis for the coordinated allocation of throughput speed. The input buffer and CDR circuit buffer the voltage signal output from the front end and extract the synchronous clock and serial data through the clock data recovery (CDR) circuit to ensure signal timing stability and adapt to the dynamically adjusted throughput speed of each channel. The synchronization and decoding module includes a synchronization unit, a 64b / 66b decoder, and a repetition decoder. The synchronization unit locks the frame header and code block boundaries; the 64b / 66b decoder restores the original data block; the repetition decoder, based on the repetition factor of the corresponding channel, uses a majority voting principle to decode repetitive data, correcting transmission errors, and the decoding parameters are synchronized in real time with the transmitter throughput configuration.

[0026] The data aggregator reassembles and aggregates the data streams decoded from the three wavelength channels in their original order, and outputs a high-speed data stream that is consistent with the input of the transmitter, thus completing the entire transmission process. The central control unit is the core control module of the system, implemented using an FPGA + microcontroller architecture. It constructs a closed-loop dynamic coordination mechanism of "monitoring-evaluation-allocation-feedback" to precisely regulate the throughput speed and transmission parameters of each wavelength channel. Its features include: Real-time quality monitoring and data acquisition: Periodically receive BER, SNR and eye margin data uploaded by the wavelength quality monitoring module at the receiving end. The sampling period can be dynamically configured (range 100ms-1s) to ensure timely capture of channel quality changes. Channel performance evaluation and classification: Based on the acquired quality data, a multi-dimensional performance evaluation model is established, classifying each wavelength channel into high-quality channels (BER≤10⁻¹², SNR≥25dB) and medium-quality channels (10⁻¹²<BER≤ ... 9 15dB≤SNR<25dB), poor quality channel (BER>10⁻) 9 The throughput allocation is based on three levels: SNR < 15dB, etc. Dynamic throughput allocation: Based on channel performance levels and total bandwidth requirements, a throughput allocation strategy is formulated. High-quality channels are allocated 40%-50% of total throughput, medium-quality channels 30%-40%, and low-quality channels 10%-20%, while reserving 10% redundant bandwidth to handle sudden changes in channel quality. Allocation commands are synchronously sent to the transmitter's adaptive data allocation module and the receiver's decoding module to achieve coordinated parameter updates. Online parameter reconfiguration and feedback optimization: By inserting control frames into the data stream, the transmitter and receiver are simultaneously notified to update parameters such as throughput and repetition factor, achieving seamless switching without interrupting data transmission. Simultaneously, the channel quality after parameter adjustments is continuously monitored. If the quality does not meet expectations, the allocation strategy is further optimized, forming a closed-loop feedback to ensure the system is always in optimal transmission condition. The linkage between the repetition encoding module and throughput speed is achieved as follows: First, a mapping function F(T) is defined, where T represents the channel throughput speed. This function is used to calculate the repetition factor R that should be configured for a given throughput speed. Specifically, when the throughput speed T is within a preset interval [T_min, T_max], the repetition factor R is determined according to the formula R=F(T)=a*(1-T / T_max)+b, where a and b are adjustment parameters to ensure that as throughput increases, the repetition factor gradually decreases to a minimum value of 1; and vice versa. It is worth noting that for specific application scenarios, the specific values ​​of a, b, T_min, and T_max need to be appropriately set according to actual needs.

[0027] To facilitate quick lookup of the repetition factor corresponding to different throughput speeds, a lookup table (LUT) is constructed. The horizontal axis represents different throughput speed levels, and the vertical axis corresponds to the optimal repetition factor recommendation value for each level. In use, simply take the currently measured throughput speed as input, find the speed level closest to that value in the LUT, and use the corresponding repetition factor as the final configuration. This method not only simplifies the calculation process but also ensures system response speed.

[0028] The majority voting principle is implemented at the hardware level using programmable logic devices such as FPGAs or ASICs. More specifically, when the receiving end receives multiple identical data packets (these packets are sent multiple times due to redundant encoding), they are first stored in a buffer. Then, a specially designed state machine performs a consistency check on all received data versions—that is, comparing whether there are differences between the versions. If any inconsistencies are found in certain bits, the correct bit value is determined according to the principle of majority rule. This process can be accelerated through parallel processing to meet real-time requirements. Simultaneously, to improve efficiency, a threshold N can be pre-set; when N identical confirmation results accumulate, further verification stops and the final decoding result is output.

[0029] The described eye diagram margin analysis captures signals from specific wavelength channels and converts them into an eye diagram for visualization. This process utilizes high-speed sampling technology to acquire signal variations over a period of time, resulting in an eye diagram that visually reflects the signal's quality characteristics. To quantify eye diagram margin, we define several key parameters: eye height, eye width, and eye opening. Eye height refers to the difference between the maximum and minimum signal amplitudes in the eye diagram; eye width refers to the time interval between the start of one symbol period and the start of the next; and eye opening refers to the size of the central region of the eye diagram, which is a crucial indicator of signal quality.

[0030] For the specific quantification of eye diagram margin, this invention proposes an evaluation system based on statistical principles. First, by processing a large amount of sample data, the standard distribution range of each parameter of the eye diagram under normal operating conditions for each wavelength channel is calculated. Then, during actual monitoring, the real-time collected data is compared with the standard range; values ​​exceeding a preset threshold are considered abnormal. Specifically, if the current eye height of a certain wavelength channel is lower than the lower limit of its standard distribution, or the eye width exceeds the upper limit, it indicates that the channel may have a quality problem, requiring further investigation and appropriate measures.

[0031] The control link between the central control unit and the transmitter / receiver is implemented using out-of-band transmission. More specifically, this invention designs a dedicated control bus independent of the data transmission path to transmit key parameters, including but not limited to wavelength channel configuration information and throughput adjustment commands. This control bus is built based on RS-485 or CAN (Controller Area Network) protocols, both of which are known for their high reliability and anti-interference capabilities, making them very suitable for stable operation in complex electromagnetic environments. By using this out-of-band communication mechanism, potential interference problems caused by the mixing of control signals and data streams can be effectively avoided, and the response speed and flexibility of the entire system can be significantly improved. Furthermore, to further enhance the maintainability and scalability of the system, sufficient interface redundancy is reserved at the physical layer, allowing for the convenient addition of new node devices or upgrading of the existing network structure in the future according to actual needs.

[0032] The aforementioned dynamic coordination and allocation of throughput speed includes the following steps: S1. Initialization Phase: During system startup or restart, all channels involved in data transmission undergo quality assessment, categorizing them into one of three types: high-quality, medium-quality, or low-quality. Based on preset rules (such as bit error rate, packet loss rate, etc.), the approximate percentage range of total bandwidth allocated to each category of channels is set: 40%-50%, 30%-40%, and 10%-20%, respectively. At least 10% of redundant bandwidth is reserved to cope with possible future anomalies.

[0033] S2. Real-time monitoring and evaluation: By continuously monitoring the status information of each channel (including but not limited to signal strength, noise level, actual transmission rate, etc.), its performance level classification is updated periodically. When a significant decrease or increase in the performance of a channel is detected, a reallocation mechanism is triggered.

[0034] S3, Dynamic Adjustment Logic; S4. Synchronous parameter update: Once it is decided to adjust the throughput settings of each channel, the relevant instructions will be sent to the data distribution module at the transmitting end and the decoding processing unit at the receiving end at the same time to ensure that the two ends can synchronize the latest configuration information in a timely manner, thereby ensuring the efficient and stable operation of the entire communication system.

[0035] The dynamic adjustment logic is as follows: when the total bandwidth demand increases, priority is given to increasing the throughput of high-quality channels until the upper limit is reached; if this is still not enough, the quota of medium-quality channels is increased proportionally; and only then are low-quality channels considered.

[0036] If the total bandwidth decreases, the opposite strategy is adopted: first reduce the utilization rate of the low-quality channel, then the medium-quality channel, and finally the high-quality channel.

[0037] When a new channel is added or removed, the optimal allocation scheme for all channels will be recalculated based on the latest status.

[0038] In the event of sudden interference causing some channels to become temporarily unavailable, redundant bandwidth should be activated immediately as a temporary supplement, and alternative paths should be found or services in the affected areas should be restored as soon as possible.

[0039] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A multi-wavelength transmission system for wide and slow data interconnection in MicroLED, characterized in that, include: The transmitting end is used to allocate, encode, and electro-optically convert data streams, with a core focus on enhancing throughput coordination and adaptation capabilities; its features include: The adaptive data allocation and throughput coordination module receives high-speed data streams from external input and dynamically adjusts the data allocation ratio and transmission speed of each wavelength parallel processing link. An elastic buffer array is configured with an independent elastic buffer for each parallel processing link to decouple the clock domain difference between the input data stream and the throughput speed of each channel, and to buffer the data to be processed. The repetitive encoding module has one repetitive encoder for each parallel processing link, and the encoding parameters are linked to the throughput speed. The 64b / 66b encoder performs 64b / 66b encoding on the repetitive encoded data to achieve DC balance and code block synchronization. The RGB multi-wavelength MicroLED array consists of three independent sub-arrays for blue light, green light, and red light. Each sub-array contains several MicroLED units, which are used to convert the encoded electrical signal into an optical signal of the corresponding wavelength. The wavelength multiplexing module, implemented using a diffraction grating or thin-film filter, efficiently couples RGB three-wavelength optical signals into a single fiber transmission channel for transmission. The receiver, used for receiving, decoding, data aggregation, and wavelength quality monitoring of optical signals, is a mirror image of the transmitter architecture. Its features include: The wavelength demultiplexing module is precisely matched with the wavelength multiplexing module at the transmitting end, separating the multi-wavelength mixed optical signal transmitted through a single fiber transmission channel into three independent optical signals: blue light, green light, and red light, which are then transmitted to the corresponding wavelength photoelectric detection and quality monitoring links. The multi-wavelength photodetector array consists of MicroPD and TIA corresponding to RGB wavelengths; the MicroPD converts the optical signal into a weak current signal; the TIA amplifies it and converts it into a stable voltage signal, which is then output to the decoding link and the quality monitoring link. The wavelength quality monitoring module is equipped with an independent monitoring unit for each wavelength channel, which collects the TIA output signal in real time and obtains the real-time quality status data of each wavelength channel through bit error rate testing, signal-to-noise ratio detection and eye diagram margin analysis. The input buffer and CDR circuit buffer the voltage signal output from the front end, and extract the synchronous clock and serial data through the clock data recovery (CDR) circuit. The synchronization and decoding module includes a synchronization unit, a 64b / 66b decoder, and a repetition decoder; the synchronization unit locks the frame header and code block boundaries; the 64b / 66b decoder restores the original data block; and the repetition decoder decodes repetitive data based on the repetition factor of the corresponding channel through a majority voting principle. The data aggregator reassembles and aggregates the data streams decoded from the three wavelength channels in their original order, and outputs a high-speed data stream that is consistent with the input of the transmitter, thus completing the entire transmission process. The central control unit, as the core control module, precisely regulates the throughput speed and transmission parameters of each wavelength channel; its features include: Real-time quality monitoring and data acquisition: periodically receive BER, SNR and eye margin data uploaded by the wavelength quality monitoring module at the receiving end; Channel performance evaluation and classification: Based on the collected quality data, a multi-dimensional performance evaluation model is established to classify each wavelength channel into high-quality channels, medium-quality channels, and low-quality channels, providing a quantitative basis for throughput allocation; Throughput speed is dynamically coordinated and allocated based on channel performance level and total bandwidth requirements to formulate throughput speed allocation strategies; Online parameter reconfiguration and feedback optimization are achieved by inserting control frames into the data stream to synchronously notify the transmitter and receiver to update parameters such as throughput and repetition factor.

2. The multi-wavelength transmission system for wide and slow data interconnection of MicroLED according to claim 1, characterized in that: The linkage between the repetition encoding module and the throughput speed is as follows: First, a mapping function F(T) is defined, where T represents the throughput speed of the channel; this function is used to calculate the repetition factor R that should be configured for a given throughput speed; when the throughput speed T is within the preset interval [T_min, T_max], the repetition factor R is determined according to the formula R=F(T)=a*(1-T / T_max)+b, where a and b are adjustment parameters.

3. A multi-wavelength transmission system for wide and slow data interconnection in MicroLEDs according to claim 1, characterized in that: To facilitate quick lookup of the repetition factor corresponding to different throughput speeds, a lookup table (LUT) is constructed, where the horizontal axis represents different throughput speed levels, and the vertical axis corresponds to the optimal repetition factor recommendation value for each level.

4. A multi-wavelength transmission system for wide and slow data interconnection of MicroLEDs according to claim 1, characterized in that: The majority voting principle is implemented at the hardware level using programmable logic devices such as FPGAs or ASICs.

5. A multi-wavelength transmission system for wide and slow data interconnection of MicroLEDs according to claim 1, characterized in that: The eye diagram margin analysis described above captures signals from specific wavelength channels and converts them into an eye diagram for display.

6. A multi-wavelength transmission system for wide and slow data interconnection of MicroLEDs according to claim 1, characterized in that: The control link between the central control unit and the transmitter / receiver is implemented using out-of-band transmission.

7. A multi-wavelength transmission system for wide and slow data interconnection of MicroLEDs according to claim 1, characterized in that: The aforementioned dynamic coordination and allocation of throughput speed includes the following steps: S1. Initialization phase: When the system starts up or restarts, the quality of all channels involved in data transmission is assessed and classified into one of three categories: high quality, medium quality, or poor quality. S2. Real-time monitoring and evaluation: By continuously monitoring the status information of each channel, including but not limited to signal strength, noise level, actual transmission rate, etc., its performance level classification is updated regularly. S3, Dynamic Adjustment Logic; S4. Synchronously update parameters. Once it is decided to adjust the throughput settings of each channel, the relevant instructions will be sent to the data distribution module at the transmitting end and the decoding processing unit at the receiving end at the same time.

8. A multi-wavelength transmission system for wide and slow data interconnection in MicroLED according to claim 7, characterized in that: The dynamic adjustment logic is as follows: when the total bandwidth demand increases, priority is given to increasing the throughput of high-quality channels until the upper limit is reached; if the total bandwidth decreases, the opposite strategy is adopted; when a new channel is added or removed, the optimal allocation scheme of all channels will be recalculated according to the latest status; in the event of sudden interference that causes some channels to be temporarily unavailable, redundant bandwidth will be immediately activated as a temporary supplement, and alternative paths will be found or services in the affected areas will be restored as soon as possible.

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