Dynamic interference compensation method and device for optical communication device facing complex environment

Abstract

The application discloses a complex environment-oriented optical communication device dynamic interference compensation method and device, relates to the optical communication technical field, and comprises the following steps: analyzing interference parameters and interference characteristics and interference prediction ranges of the optical communication device in a complex environment; performing multi-level decomposition compensation from a hardware layer, a production process layer and a compensation algorithm layer according to the interference parameters and the interference characteristics and the interference prediction ranges, and establishing a multi-level compensation network; performing multi-layer collaborative compensation search based on the multi-level compensation network, obtaining a multi-level compensation scheme; extracting static compensation results and dynamic compensation relationships of the multi-level compensation scheme, and constructing an adaptive dynamic compensation strategy. The technical problem that optical communication device dynamic interference in a complex environment is difficult to realize multi-level collaborative compensation and adaptive adjustment in the prior art is solved, and the technical effect of improving anti-interference performance and communication stability is achieved through multi-level static and dynamic fusion compensation and an adaptive strategy.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of optical communication, in particular to a dynamic interference compensation method and device for optical communication devices in complex environments. BACKGROUND

[0002] As a core means of modern high-speed information transmission, optical communication is widely used in data centers, backbone networks, industrial Internet, aerospace and other fields. With the continuous expansion of application scenarios, optical communication systems gradually migrate from ideal laboratory environments to various complex and non-ideal environments, such as high temperature, strong electromagnetic interference, high vibration or strong light interference, etc. Especially in industrial control, rail transportation, long-distance communication and other scenarios, the variability and unpredictability of the environment put higher requirements on the stability and communication quality of optical communication devices. However, existing optical communication interference compensation technologies mostly only optimize parameters under specific interference types or ideal experimental conditions, and often rely on a single compensation means, such as interference control based on hardware structure reinforcement, packaging material optimization or bit error rate algorithm correction, etc., lacking cross-layer collaboration and environmental perception capabilities.

[0003] In actual applications, interference sources in complex environments often have diversity and uncertainty, and there may be superposition, coupling or even dynamic transformation between different interference types. The existing compensation methods are difficult to achieve collaborative identification and comprehensive response to multiple interference factors. At the same time, most of the current compensation schemes are highly static in design and cannot adaptively adjust strategies according to environmental state changes, resulting in significant fluctuations in communication performance in dynamic complex environments, and a significant decrease in device stability and anti-interference ability.

[0004] Therefore, it is urgent to propose an optical communication device interference compensation scheme that can integrate the features of multiple interference factors, take into account hardware structure, process parameters and algorithm strategies, and support dynamic perception and adaptive adjustment, to realize rapid modeling, accurate prediction and efficient compensation of interference effects in complex environments, thereby ensuring the long-term stable operation and communication reliability of optical communication systems. SUMMARY

[0005] The present application provides a dynamic interference compensation method and device for optical communication devices in complex environments, which solves the technical problem of multi-level collaborative compensation and adaptive adjustment of dynamic interference of optical communication devices in complex environments in the prior art, and achieves the technical effect of improving anti-interference performance and communication stability through multi-level static and dynamic fusion compensation and adaptive strategies.

[0006] The application provides a dynamic interference compensation method for optical communication devices in a complex environment, which comprises the following steps: analyzing interference parameters and interference characteristics and interference prediction ranges of optical communication devices in a complex environment; performing multi-level decomposition compensation from a hardware layer, a production process layer and a compensation algorithm layer according to the interference parameters and the interference characteristics and the interference prediction ranges, and establishing a multi-level compensation network; performing multi-layer collaborative compensation search based on the multi-level compensation network, and obtaining a multi-level compensation scheme; extracting static compensation results and dynamic compensation relationships of the multi-level compensation scheme, and constructing an adaptive dynamic compensation strategy, wherein the static compensation results correspond to compensation fusion results of the hardware layer and the production process layer, the dynamic compensation relationships correspond to compensation schemes of the compensation algorithm layer, and the static compensation results and the dynamic compensation relationships are in a mapping association.

[0007] The application also provides a dynamic interference compensation device for optical communication devices in a complex environment, which comprises the following units: an environment analysis unit configured to analyze interference parameters and interference characteristics and interference prediction ranges of optical communication devices in a complex environment; a decomposition compensation unit configured to perform multi-level decomposition compensation from a hardware layer, a production process layer and a compensation algorithm layer according to the interference parameters and the interference characteristics and the interference prediction ranges, and establish a multi-level compensation network; a compensation search unit configured to perform multi-layer collaborative compensation search based on the multi-level compensation network, and obtain a multi-level compensation scheme; and a strategy construction unit configured to extract static compensation results and dynamic compensation relationships of the multi-level compensation scheme, and construct an adaptive dynamic compensation strategy, wherein the static compensation results correspond to compensation fusion results of the hardware layer and the production process layer, the dynamic compensation relationships correspond to compensation schemes of the compensation algorithm layer, and the static compensation results and the dynamic compensation relationships are in a mapping association.

[0008] By means of the dynamic interference compensation method and device for optical communication devices in a complex environment, interference parameters and interference characteristics and interference prediction ranges of optical communication devices in a complex environment are analyzed; multi-level decomposition compensation is performed from a hardware layer, a production process layer and a compensation algorithm layer according to the interference parameters and the interference characteristics and the interference prediction ranges, and a multi-level compensation network is established; multi-layer collaborative compensation search is performed based on the multi-level compensation network, and a multi-level compensation scheme is obtained; static compensation results and dynamic compensation relationships of the multi-level compensation scheme are extracted, and an adaptive dynamic compensation strategy is constructed, wherein the static compensation results correspond to compensation fusion results of the hardware layer and the production process layer, the dynamic compensation relationships correspond to compensation schemes of the compensation algorithm layer, and the static compensation results and the dynamic compensation relationships are in a mapping association. The technical problem that dynamic interference of optical communication devices in a complex environment is difficult to realize multi-level collaborative compensation and adaptive adjustment in the prior art is solved, and the technical effect of improving anti-interference performance and communication stability through multi-level static and dynamic fusion compensation and adaptive strategy is achieved. BRIEF DESCRIPTION OF DRAWINGS

[0009] In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings of the embodiments of the present disclosure will be briefly introduced below. In the present application, a flow chart is used to illustrate the operations performed by the device according to the embodiments of the present application. It should be understood that the foregoing or the following operations are not necessarily performed in sequence. On the contrary, various steps can be processed in reverse order or simultaneously as needed. Meanwhile, other operations can be added to these processes, or a step or several steps can be removed from these processes.

[0010] Figure 1 A flow chart of a dynamic interference compensation method for a complex environment-oriented optical communication device is provided for the embodiments of the present application.

[0011] Figure 2 A structural schematic diagram of a dynamic interference compensation device for a complex environment-oriented optical communication device is provided for the embodiments of the present application.

[0012] Legend: environmental analysis unit 11, decomposition compensation unit 12, compensation search unit 13, strategy construction unit 14. DETAILED DESCRIPTION

[0013] 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 embodiments of the present application 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.

[0014] In order to make the purposes, technical solutions and advantages of the present application more clear, the following will further describe the present application in combination with the drawings, and the described embodiments should not be regarded as limiting the present application. All other embodiments obtained by those skilled in the art without making creative efforts belong to the scope of protection of the present application.

[0015] In the following description, "some embodiments" are related to a subset of all possible embodiments, but it can be understood that "some embodiments" can be the same subset or different subset of all possible embodiments, and can be combined with each other without conflict. The term "first\second" is only to distinguish similar objects, and does not represent a specific order of the objects. The terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, device, product or server including a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or modules not clearly listed or inherent to these processes, methods, products or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as understood by those skilled in the art in the technical field of the present application. The terms used herein are only for the purpose of describing the embodiments of the present application.

[0016] The embodiment of the present application provides a dynamic interference compensation method for optical communication devices in a complex environment, as shown in the following table. Figure 1 The method comprises the following steps.

[0017] The interference parameters and interference characteristics and interference prediction range of the optical communication devices in the complex environment are analyzed.

[0018] In the embodiment of the present application, the optical communication device is also called an optical device, which is divided into an optical active device and an optical passive device. The optical active device refers to a key device that needs to be driven by a power supply in an optical communication system and can realize the conversion or amplification function between an electrical signal and an optical signal. Typical representatives include a laser (such as a DFB laser), an optical detector, an optical amplifier, an optical coupler and the like. The optical passive device refers to a device that can work without external power supply and does not involve electrical or optical conversion. The device mainly plays a role in guiding, controlling, coupling or distributing an optical signal. Typical examples are optical fibers, wavelength division multiplexers (WDM), optical isolators, optical splitters, optical modulators (of some types) and the like. Both the optical active device and the optical passive device are affected by the external environment in use. For example, electromagnetic interference can interfere with the signal integrity, temperature fluctuations can cause material thermal expansion, optical path drift or wavelength drift, mechanical vibration can damage the coupling structure of the device, and strong light irradiation can cause optical saturation or damage. In view of these interferences, the actual distribution data and the time variation samples of the interferences in the target environment are collected, the possible interference types are identified, and the interference parameters corresponding to the types are obtained, such as temperature, field strength, vibration and the like. Subsequently, statistical analysis and pattern recognition are performed on the collected data, and the interference characteristics of each interference type are extracted. For example, for temperature interference, the daily variation range, peak frequency distribution and system response lag can be analyzed; for electromagnetic interference, the frequency band coverage, modulation characteristics and the coupling degree between the device transmission signal and the interference can be analyzed. Through the above analysis, the characteristic set of each type of interference can be established. After the interference parameters and the interference characteristics are extracted, the interference influence range is further predicted in combination with the space-time information of the target environment. Specifically, for an environment with a clear physical boundary (visible range), the spatial distribution proportion can be used for regional expansion prediction; and for an environment with an uncertain boundary or greatly affected by dynamic factors (invisible range), the sample type distribution probability is used to calculate the interference expansion trend, so as to construct a complete interference prediction range for subsequent multi-level compensation modeling.

[0019] Further, the present application provides an analysis of the interference parameters and interference characteristics and interference prediction range of the optical communication devices in the complex environment, comprising:

[0020] The target complex environment is subjected to multi-dimensional analysis of electromagnetic interference, temperature environment change, vibration mechanical interference, light interference, and channel nonlinear change, and the existing interference types are obtained; according to the sample data of the interference types, the corresponding interference characteristics are determined; sample data of the target complex environment is collected, the interference range is obtained, and the time distribution and space distribution of the collected sample data are subjected to environment proportion expansion prediction to obtain the interference prediction range.

[0021] Preferably, the target complex environment where the optical communication device is deployed is subjected to multi-dimensional interference analysis to identify interference factors that may affect the performance of the optical communication, including electromagnetic interference, temperature environment change, vibration mechanical interference, light interference, and channel nonlinear change. Taking light interference as an example, in outdoor deployment or open optical channels, atmospheric turbulence often causes random light intensity fluctuation (flicker) and wavefront distortion, which is a typical spatial light interference. In order to determine whether such interference exists, a light intensity detector (such as a photodiode array) and a wavefront sensor (such as a Shack-Hartmann wavefront detector) can be arranged at the light receiving end to collect the intensity change sequence and wavefront distortion of the incident light signal in real time. If the standard deviation of the light intensity per unit time exceeds the set threshold, or the wavefront distortion presents a non-Gaussian distribution and has a non-stationary disturbance characteristic, it can be determined that there is atmospheric turbulence interference with a medium or above intensity. Through the above similar method, the possible interference types of the current target complex environment can be determined to provide a direction for subsequent feature extraction, interference prediction, etc. Subsequently, for the above determined interference types, the sample data in the interference sample library is compared to extract the main interference characteristics of each interference type, for example, for the temperature environment, the environmental temperature fluctuation frequency, thermal expansion related curve and other parameters can be extracted, the mechanical vibration can use the acceleration change frequency and resonance response frequency band, and the electromagnetic interference can extract the main frequency, modulation type and field strength level, etc. The interference sample library is constructed based on historical data, experimental simulation, etc., and includes typical characteristics of all interference types. Then, sample data of the target complex environment is collected, and whether the interference range of the environment where the optical communication device is located is a visible range or an invisible range is determined according to the collected data. According to the determined interference range, the range expansion prediction in time and space is carried out based on the sample data, for example, if a certain interference type appears in the visible range with a clear boundary, the spatial expansion can be directly carried out based on the existing distribution density to predict the interference influence range; if the interference type exists in the invisible range with a fuzzy or irregular boundary, the prediction is carried out based on the distribution probability of the interference sample, and finally the interference prediction range is obtained to provide a basis for subsequent compensation scheme design and ensure the stability of the communication.

[0022] Further, the present application provides environment proportion expansion prediction according to the time distribution and space distribution of the collected sample data to obtain the interference prediction range, including:

[0023] parsing a range type of the target complex environment, including a visible range and an invisible range, the visible range being an environment type with clear range boundaries, and the invisible range being an environment type without clear range boundaries; when the environment type is the visible range, performing expansion prediction according to a spatial range proportion of the spatial distribution to obtain an interference prediction range; and when the environment type is the invisible range, performing expansion prediction according to a spatial sample type proportion of the spatial distribution to obtain the interference prediction range.

[0024] Optionally, when the environmental proportion expansion prediction is performed, the range type of the target complex environment needs to be analyzed first, and the boundary of the interference source in the spatial dimension is determined. In order to facilitate the controllability and scalability of the interference prediction, the environment type is divided into two cases: visible range and invisible range. The visible range refers to the environment area with physical or logical boundary, which can clearly define the spatial boundary of the interference occurrence, for example, the service radius range of a certain 5G communication base station, the internal cabinet of the optical communication equipment or the isolation area of a certain industrial plant. The invisible range refers to the scene where the boundary of the interference area is uncertain and constantly shifts with the movement of the equipment or the dynamic change of the environment, for example, the spatial area of the vehicle-mounted optical communication system when the vehicle runs in different topography environments such as cities, mountains and grasslands, which cannot be accurately divided by fixed boundary. When the range type of the target complex environment is the visible range, the prediction expansion can be directly performed according to the range proportion of the interference source in the spatial distribution. Specifically, according to the data of each sub-region in the target complex environment recorded in the sample data, the number of interference events in each sub-region is counted, and the total number of interference events is counted. Then, the interference space proportion of each sub-region is calculated, that is, the ratio of the number of interference events in the sub-region to the total number of interference events. Then, the interference space proportion is screened according to the space expansion threshold, a plurality of sub-regions greater than or equal to the threshold are obtained, and the average interference intensity (for example, the electric field intensity of electromagnetic interference, the temperature fluctuation of temperature interference, and the vibration intensity of mechanical vibration interference) of these sub-regions is normalized. After weighting the processing result, the interference prediction range is obtained. When the target environment type is the invisible range, due to the lack of boundary information, the environment sample classification and scene type need to be used for statistics. Specifically, in the vehicle running scene, different geographical environment samples passed by the vehicle in the running path are collected, such as urban area, plain area, plateau environment, grassland, forest or mountainous area, etc., to form a spatial sample type set. By analyzing the proportion of each type of geographical sample in the overall running track, the spatial sample type proportion is constructed. Then, the average interference intensity of each type of spatial sample is determined according to the historical data, and the weighted average interference intensity is obtained by weighting the average interference intensity with the spatial sample type proportion as the weight, to obtain the interference prediction range. In summary, through the above distinguishing mechanism and corresponding prediction strategy of visible and invisible range, the interference prediction range under the current environmental condition can be constructed comprehensively, which provides a distribution basis for the subsequent structure modeling and control strategy of the compensation network.

[0025] According to the interference parameters and their interference characteristics and interference prediction range, multi-level decomposition compensation is performed from the hardware layer, production process layer and compensation algorithm layer to establish a multi-level compensation network.

[0026] In one embodiment, after the identification and prediction of complex environmental interference are completed, different source paths of the optical communication device affected by the interference are modeled and compensated for respectively from the hardware layer, the production process layer, and the compensation algorithm layer to build a multi-level compensation network with a complete structure and an orderly coupling. Specifically, first, at the hardware layer, according to the interference characteristics and distribution range, interference mechanisms that directly affect the physical structure of the device body are identified, for example, for the thermal expansion problem caused by temperature fluctuations, a packaging material with a thermal expansion matching coefficient can be designed to physically relieve the thermal stress. By establishing a static physical compensation mechanism corresponding to the type of interference in the device structure and material selection, the compensation at the hardware layer is completed. Subsequently, at the production process layer, according to the interference characteristics and distribution range, the process flow that is greatly affected by the interference is optimized, for example, for the problem of stress accumulation at the packaging interface caused by multiple thermal cycles, the stress distribution of the PLC chip can be adjusted to reduce the refractive index change caused by environmental stress. By building a process-adjustable compensation relationship for different interference scenarios, a control compensation relationship is formed at this layer, which forms the basis of compensation fusion with the hardware layer. Finally, at the compensation algorithm layer, according to the interference characteristics and the prediction range of the interference, a mapping relationship between the interference parameters and the control compensation amount is established. This layer mainly faces programmable controllers, embedded control chips or FPGA systems, and through the construction of a dynamic compensation mechanism (such as PID adjustment, model predictive control MPC, etc.), it realizes the fast correction of the residual interference that cannot be fully offset by the hardware and process layers, and dynamically adapts to environmental changes, realizing the ability of real-time adjustment of the control amount with the interference input. To realize the organic combination of the three layers, the compensation relationships of the above layers are integrated into a network to build a multi-level compensation network. In this network, the hardware layer and the process layer form a stable structure compensation framework for the device body as a static top layer structure; the compensation algorithm layer forms a control-execution synergy with the static structure of the upper layer as a dynamic layer structure, and through the interface protocol or control mapping table, a data linkage and feedback channel is established to realize the response coupling, parameter coordination and adaptive compensation between the multi-level, and to improve the anti-interference performance and communication stability of the optical communication device.

[0027] Further, the present application provides a multi-level decomposition compensation from the hardware layer, the production process layer, and the compensation algorithm layer, including:

[0028] According to the interference characteristics and the prediction range of the interference, the compensation relationship of the hardware layer is established from the stress compensation of the silicon-based waveguide, the thermal expansion compensation of the packaging material, and the optimization of the fiber array coupling. According to the interference characteristics and the prediction range of the interference, the compensation relationship of the production process layer is established from the stress process optimization and the packaging process optimization. According to the interference characteristics and the prediction range of the interference, the dynamic compensation control parameters are analyzed to establish the compensation relationship between the dynamic compensation control parameters and the characteristic compensation amount, and the dynamic control relationship of the compensation algorithm layer is obtained.

[0029] Preferably, according to the interference characteristics and the interference prediction range, the anti-interference ability of the optical communication device in a complex environment is gradually established from the hardware layer, the production process layer and the compensation algorithm layer. In the hardware layer, the device structure is compensated for temperature changes, mechanical vibrations and other main interference sources. For example, the athermal AWG module with stress self-compensation characteristics is used to realize the coupling offset of the refractive index change and thermal expansion effect caused by temperature through the optimization design of the stress distribution in the silicon waveguide. In the packaging layer, the low thermal expansion coefficient (CTE) packaging material is introduced to effectively control the linear expansion rate of the device structure in the range of-40℃ to 85℃, so that the wavelength drift is less than 0.02nm, without the need to introduce active temperature control circuit, improving the system integration and reliability. For vibration interference, the FA fiber array precision coupling structure with six-degree-of-freedom adjustment capability (supporting XYZ translation and angle rotation) is used, and the MEMS micromirror module is combined to realize dynamic real-time compensation for the small coupling offset. The design relies on the existing 83 high-precision coupling platform to ensure the optical path stability of the device under the frequency interference below 10kHz, and the coupling loss is controlled within 0.3dB. Finally, the compensation relationship between the stress compensation, thermal expansion compensation and fiber coupling adjustment parameters is established, that is, the compensation relationship in the hardware layer. In the production process layer, the process flow control is further improved to enhance the tolerance of the device under environmental changes. For stress-sensitive problems, ion implantation and annealing process are used to precisely adjust the stress distribution in the PLC chip, reduce the influence of environmental stress on optical performance, realize the target refractive index fluctuation below 1×10-4, and improve the long-term stability of the core structure. For electromagnetic interference sensitive components such as WDM wavelength division multiplexer, a complete EMI suppression layer is constructed through the metallization packaging process combined with electromagnetic shielding materials such as nano-silver paste, which improves the shielding ability of the device to external electromagnetic field while ensuring the sealing performance. The measured EMI attenuation is greater than 40dB, and it is compatible with the existing packaging production line, keeping the manufacturing cost controllable. Finally, the process compensation relationship between the interference characteristics (such as temperature gradient, electromagnetic field intensity) and the injection process parameters, packaging shielding layer structure is established, that is, the compensation relationship in the production process layer. In the compensation algorithm layer, for the dynamic disturbance part remaining after hardware and process compensation, such as temperature gradient, vibration superposition interference or composite optical path mismatch, a lightweight machine learning model of interference characteristics-control parameters-target compensation amount is established through historical data to form a dynamic compensation control relationship.The lightweight machine learning model can be a model based on a neural network, and the training mode is forward propagation, loss calculation (such as mean square error), back propagation, parameter optimization (such as Adam optimizer), etc. The dynamic compensation control relationship is decoupled and coupled with the hardware layer structure parameter and the process control setting through a standard interface, to ensure the data consistency and control closed loop between the dynamic layer and the static layer. Finally, through the step-by-step modeling and linkage configuration of the three-layer compensation relationship, a complete multi-level compensation network is constructed, which provides support for the subsequent collaborative search and adaptive strategy regulation.

[0030] Further, the application provides a multi-level compensation network, comprising:

[0031] The hardware layer and the production process layer are used as a static top layer structure, the hardware layer and the production process layer nodes are connected in series, the compensation algorithm layer is used as a dynamic top layer structure, the static top layer structure and the dynamic top layer structure are connected as connection nodes, a top layer structure is constructed, the compensation mode and the compensation relationship of the hardware layer, the production process layer and the compensation algorithm layer are used to establish the middle layer structure data relationship of each node in the top layer structure, and the multi-level compensation network is constructed according to the top layer structure and the middle layer structure data relationship.

[0032] Optionally, the hardware layer and the production process layer are taken as static top layer structures, and the two are connected in series to form a static compensation foundation covering the device physical structure and the manufacturing process, i.e., a dynamic top layer structure. In this structure, the hardware layer is responsible for resisting physical disturbances in complex environments through device design, material selection (such as silicon-based waveguide structure, low thermal expansion packaging material, precise optical fiber coupling assembly); the production process layer embeds compensation mechanisms in the device manufacturing process through stress process optimization and packaging process optimization, etc., to improve the device stability from the source. The two cooperate to establish a static compensation strategy for maintaining the basic working performance and anti-interference ability of the optical communication device in the state without the intervention of the control algorithm. On this basis, the compensation algorithm layer is further taken as a dynamic top layer structure, which is connected with the static top layer structure. The compensation task carried by the compensation algorithm layer is different from the fixed compensation mechanism of the static structure in the design stage, but is based on the basic compensation ability provided by the hardware and process, and further faces the dynamic changes of environmental disturbances in the actual running process, real-time retrieval of parameters, execution of control instructions, and auxiliary adjustment of the device working state. Specifically, the compensation algorithm layer establishes the association between the disturbance characteristics and the dynamic compensation control parameters according to the parameter framework output by the static compensation strategy, and continuously monitors the environmental changes such as temperature mutation, vibration disturbance, electromagnetic wave change in actual operation, and adjusts the optical path coupling, working wavelength, power supply in real time, so as to realize the adaptive tracking and response to complex disturbances. Based on the hierarchical configuration between the static structure and the dynamic structure, a top layer structure is constructed, which is based on static physical optimization and assisted by dynamic control response. In this result, the static top layer structure outputs various material selection parameters, structure registration parameters, process setting values, and the dynamic top layer structure adjusts the input signal according to the running state and fine-tunes the execution instruction. The two interact through the preset interface and parameter transmission link to form a static-dynamic integrated compensation structure. Subsequently, around the data dependency and logic mapping between the three layers, the data relationship of the middle layer structure is established, which is mainly responsible for mapping the mapping relationship between the compensation structure parameters generated by the static top layer structure and the real-time control parameters required by the dynamic top layer structure, such as binding the waveguide length compensation structure in the static design and the wavelength shift control in the dynamic top layer structure, or mapping the packaging stress shielding layer parameters to the dynamic thermal drift compensation instruction, etc. By establishing these intermediate data nodes, the logic consistency, control closed loop, and compensation linkage among the entire compensation in multiple layers are ensured. Finally, based on the linkage mechanism of the static top layer structure, the dynamic top layer structure and the data relationship of the middle layer structure, a complete multi-level compensation network is constructed, which has the characteristics of top-down cooperation, parameter closed loop and clear structure response, and can deploy compensation strategies of different levels according to the disturbance prediction range and the current running state, to realize the stable working and continuous control ability of the optical communication device in the complex environment.

[0033] performing a multi-layer collaborative compensation search based on the multi-layer compensation network to obtain a multi-layer compensation scheme.

[0034] In one embodiment, after the multi-layer compensation network including the hardware layer, the production process layer and the compensation algorithm layer is constructed, a multi-layer collaborative compensation search is performed in the network structure to determine a set of optimal compensation parameter combinations across layers according to the identified interference characteristics and interference prediction range, and form a multi-layer compensation scheme that adapts to the current complex environmental conditions. Specifically, the compensation search process first analyzes the compensation parameters of each layer in the compensation network, for example, the hardware layer involves design parameters such as waveguide stress, thermal expansion coefficient of packaging material, fiber coupling displacement adjustment range, etc. By summarizing the compensation methods and compensation relationships of each layer, the compensation stability is maximized and the compensation consumption is minimized as evaluation parameters, and the feasible compensation parameter combinations under the current constraints are searched layer by layer. In the compensation search process, the data relationship in the compensation network is adjusted in linkage, for example, when a certain stress compensation structure is selected in the hardware layer, the annealing process conditions matching the structure are automatically searched, and the range of some sensitive parameters in dynamic compensation is simultaneously limited to avoid compensation redundancy or conflict. This search process is iterated repeatedly until the optimal solution is gradually converged, so as to obtain the multi-layer compensation scheme for guiding the actual deployment and operation of the optical communication device in the complex environment.

[0035] Further, the application provides a method for obtaining a multi-layer compensation scheme based on a multi-layer compensation network, comprising:

[0036] According to the multi-layer compensation network, the compensation promotion relationship and the compensation consumption relationship of each level of compensation parameters are analyzed according to the compensation relationship; taking satisfying the interference characteristics and the interference prediction range as the target, taking maximizing the compensation stability and minimizing the compensation consumption as the evaluation parameters, searching each layer scheme according to the compensation promotion relationship and the compensation consumption relationship of the multi-layer compensation network until the search stopping condition is reached, obtaining the multi-layer compensation scheme with the best evaluation result of each level of compensation parameter combination.

[0037] Optionally, after the construction of the multi-level compensation network is completed, in order to obtain the optimal compensation strategy combination under the current interference characteristics and its prediction range, based on the internal relationship of the compensation promotion relationship and the compensation consumption relationship, the multi-layer collaborative compensation scheme search is carried out around the compensation parameters at each level in the hardware layer, the production process layer and the compensation algorithm layer. Specifically, first, each compensation parameter in the multi-level compensation network is analyzed to identify the action path and coupling influence of each parameter in the actual compensation process. The compensation promotion relationship refers to the adjustment of one compensation parameter which can promote or enhance the synergistic effect of other level compensation effect, for example, the use of AthermalAWG component with excellent athermal compensation effect in the hardware layer can significantly reduce the real-time adjustment burden required by the compensation algorithm layer in the case of temperature change, thereby promoting the stability of dynamic compensation. The compensation consumption relationship refers to the resource consumption or system burden generated in the compensation process, such as the high-precision alignment of FA fiber array in the hardware layer, which improves the compensation accuracy, but correspondingly increases the processing requirements of the production process layer in the packaging precision and coupling calibration process, thereby increasing the manufacturing consumption. Based on the understanding of the promotion and consumption relationship between the compensation parameters at each layer, taking the satisfaction of the target interference characteristics and its prediction range as the core target, multi-dimensional compensation search evaluation parameters are established, including the maximization of compensation stability (i.e. the robustness and tolerance range of interference response) and the minimization of compensation consumption (i.e. the minimization of material, energy, time or system complexity cost). In the search process, taking the hardware layer as the static starting point, first, the available physical compensation means are selected, such as the alignment capability of FA fiber array, the temperature drift tolerance characteristics of AthermalAWG, and the equalization capability of PLC splitter under multi-channel adjustment. Subsequently, enter the production process layer, combine the selected physical basis, load the adaptive electronic signal compensation mechanism, such as the frequency domain signal separation strategy based on WDM wavelength division multiplexer, or the embedded LMS / RLS adaptive equalization module, to realize the intermediate layer dynamic compensation of nonlinear interference and signal degradation, and then, combined with the historical operation data feedback and real-time monitoring results in the compensation algorithm layer, further adjust the operation parameters of the optical communication device, such as temperature fine-tuning amplitude and electrical signal equalization parameters, to control the dynamic disturbance within the compensation capability range. Then, through iterative convergence, each possible three-level compensation parameter combination is evaluated. If the current combination reaches the set threshold in compensation stability and the compensation consumption is within the acceptable range, it is retained as a candidate solution. When the search reaches the stopping condition (such as the target interference prediction interval is fully covered or there is no new optimization space), the optimal one of all candidate solutions is output as the final multi-level compensation scheme. The compensation scheme integrates static structure design, manufacturing process configuration and dynamic control logic, realizes full-link coordination from the physical bottom layer to the control layer, has good robustness and environmental adaptability, and enables the optical communication device to operate stably under multi-source disturbance conditions.

[0038] extracting a static compensation result and a dynamic compensation relationship of the multi-level compensation scheme, and constructing an adaptive dynamic compensation strategy, wherein the static compensation result corresponds to a compensation fusion result of the hardware layer and the production process layer, the dynamic compensation relationship corresponds to a compensation scheme of the compensation algorithm layer, and the static compensation result and the dynamic compensation relationship are mapped and associated.

[0039] In one embodiment, after obtaining the multi-level compensation scheme, in order to realize the continuous and stable operation of the optical communication device in a complex environment, it is necessary to extract and integrate the compensation elements of each layer in the scheme to construct a set of dynamic compensation strategies with environmental adaptability. The core of the strategy is to clarify the responsibility boundary and response mechanism between static and dynamic compensation, and to realize the cooperative operation through parameter mapping relationship. Specifically, first, the compensation configuration of the hardware layer and the production process layer is extracted from the multi-level compensation scheme to form a static compensation result. The result covers the physical structure compensation means in the hardware layer (such as temperature drift adaptive waveguide structure, fiber coupling array, etc.) and the signal conditioning components in the production process layer (such as WDM multiplexer, embedded equalization module, etc.). These static compensation configurations jointly determine the range of environmental disturbances that the device can cover without relying on external control and adjustment, i.e. the static tolerance band of the optical communication device. On this basis, the control parameter configuration and adjustment mechanism in the compensation algorithm layer are further extracted to form a dynamic compensation relationship. The relationship corresponds to the real-time response process after the disturbance occurs, for example, for residual temperature drift, coupling error or signal nonlinear distortion, the wavelength fine-tuning step size, electrical signal gain compensation value, etc. are set to quickly complete the fine-tuning of the device working state. In order to realize the synergistic effect of static compensation and dynamic compensation, the environmental disturbance boundary covered by the static combination will be delineated according to the optimized hardware structure and process configuration, and the fluctuation interval outside the boundary will be analyzed to identify the compensation dimension and control amplitude that need to be dynamically taken over by the algorithm, i.e. for a certain disturbance variable, it will not trigger dynamic adjustment within the static structure support range, once it deviates from the static tolerance range, the corresponding dynamic control strategy will be called to compensate the relay, for example, if the Athermal AWG module can control the temperature drift within ±0.02nm, only when the temperature drift exceeds this range, the dynamic algorithm layer will trigger the wavelength control fine-tuning instruction to realize the compensation closed loop; when the embedded equalization module can preprocess the signal distortion within a certain frequency band, the dynamic algorithm will only perform adaptive gain adjustment or reconstruction instructions on the edge of the frequency band or out-of-band interference. Through this response mapping based on structure capability and disturbance characteristics, the static compensation result and the dynamic compensation relationship are logically bound to construct a set of adaptive dynamic compensation strategies, which can intelligently switch the compensation mechanism according to the disturbance situation in a complex environment, and guarantee the long-term stability and response agility of the optical communication device.

[0040] Further, the application provides constructing an adaptive dynamic compensation strategy, and then further comprising:

[0041] detecting environmental interference characteristics; performing compensation difference operation on the environmental interference characteristics according to the static compensation result, to obtain interference compensation parameters and compensation differences; taking the interference compensation parameters and compensation differences as input variables, performing compensation analysis through a dynamic compensation relationship, to obtain dynamic compensation parameters, and performing adaptive control on operation parameters of the optical communication device according to the dynamic compensation parameters.

[0042] Preferably, after the adaptive dynamic compensation strategy is established, to realize real-time response and compensation adjustment to environmental changes, it is necessary to dynamically perform interference detection and parameter control processes in the operation stage of the optical communication device, to build a complete adaptive closed loop. First, through the environmental sensors or operation state acquisition modules deployed inside and outside the optical communication device, interference characteristics in the environment where the optical communication device is located are detected in real time. These interference characteristics include, but are not limited to, current environmental temperature, temperature change rate, mechanical vibration amplitude, vibration frequency, etc. The above interference parameters can be obtained by a thermosensitive element, an accelerometer, a field strength probe or a signal analysis module. After detecting the current interference characteristics, the measured data is compared with the previously established static compensation result, and compensation difference operation is performed, that is, it is judged whether the current interference has been covered by the static compensation capability of the hardware layer and the production process layer. If the interference intensity or change trend exceeds the static tolerance range, the interference compensation parameters and their compensation differences corresponding to the exceeding part are calculated, and this difference is the compensation content that needs to be processed by the dynamic algorithm layer. Subsequently, the interference compensation parameters and compensation differences are taken as input variables and transmitted to the already constructed dynamic compensation relationship, to perform compensation analysis under the driving of the differences. Through a light-weight machine learning model, the mapping relationship between the current difference and the control strategy is analyzed, and corresponding dynamic compensation parameters are output, including control instructions such as adjusting the coupling position of the optical device, fine-tuning the central wavelength, adjusting the electronic equalization coefficient or gain value, etc. Finally, based on the above dynamic compensation parameters, the operation state of the optical communication device is adjusted in real time, to complete the rapid response to environmental disturbances. This adaptive control process does not require human intervention, can adjust the working state at the first time of interference change, maximizes the stability and reliability of the communication performance, and ensures that the optical communication device can maintain high reliability in a complex dynamic environment.

[0043] In the foregoing, with reference to Figure 1 The optical communication device dynamic interference compensation method for complex environments according to the embodiments of the present application is described in detail. Next, with reference to Figure 2 The optical communication device dynamic interference compensation device for complex environments according to the embodiments of the present application is described.

[0044] The device for dynamic interference compensation of optical communication devices in complex environments according to the embodiment of the present application is used to solve the technical problem that the dynamic interference of optical communication devices in complex environments is difficult to realize multi-level collaborative compensation and adaptive adjustment in the prior art, and achieves the technical effect of improving the anti-interference performance and communication stability through multi-level static and dynamic fusion compensation and adaptive strategies. The device for dynamic interference compensation of optical communication devices in complex environments comprises an environment analysis unit 11, a decomposition compensation unit 12, a compensation search unit 13, and a strategy construction unit 14.

[0045] The environment analysis unit 11 analyzes the interference parameters and interference characteristics and interference prediction range of optical communication devices in complex environments. The decomposition compensation unit 12 performs multi-level decomposition compensation from the hardware layer, the production process layer, and the compensation algorithm layer according to the interference parameters and interference characteristics and interference prediction range, and establishes a multi-level compensation network. The compensation search unit 13 performs multi-layer collaborative compensation search based on the multi-level compensation network to obtain a multi-level compensation scheme. The strategy construction unit 14 extracts the static compensation result and dynamic compensation relationship of the multi-level compensation scheme, and constructs an adaptive dynamic compensation strategy. The static compensation result corresponds to the compensation fusion result of the hardware layer and the production process layer, the dynamic compensation relationship corresponds to the compensation scheme of the compensation algorithm layer, and the static compensation result and the dynamic compensation relationship are mapped and associated.

[0046] Further, the environment analysis unit 11 further comprises:

[0047] The target complex environment is analyzed in multiple dimensions such as electromagnetic interference, temperature environment change, vibration mechanical interference, light interference, and channel nonlinear change to obtain the types of existing interference. The corresponding interference characteristics are determined according to the sample data of the interference types. The sample data of the target complex environment is collected to obtain the interference range. The time distribution and space distribution of the collected sample data are used for environment proportion expansion prediction to obtain the interference prediction range.

[0048] Further, the environment analysis unit 11 further comprises:

[0049] The range type of the target complex environment is analyzed, including a visible range and an invisible range. The visible range is an environment type with a clear range boundary, and the invisible range is an environment type without a clear range boundary. When the environment type is the visible range, the spatial range proportion of the space distribution is used for expansion prediction to obtain the interference prediction range. When the environment type is the invisible range, the spatial sample type proportion of the space distribution is used for expansion prediction to obtain the interference prediction range.

[0050] Further, the decomposition compensation unit 12 further comprises:

[0051] According to the interference characteristics, the interference prediction range, a compensation relationship of a hardware layer is established from stress compensation of a silicon-based waveguide, packaging material thermal expansion compensation, and fiber array coupling optimization; according to the interference characteristics, the interference prediction range, a compensation relationship of a production process layer is established from stress process optimization and packaging process optimization; dynamic compensation control parameter analysis is performed according to the interference characteristics and the interference prediction range, a compensation relationship between the dynamic compensation control parameter and the characteristic compensation amount is established, and a dynamic control relationship of the compensation algorithm layer is obtained.

[0052] Further, the decomposition compensation unit 12 further includes:

[0053] The hardware layer and the production process layer are taken as static top-layer structures, the hardware layer and the production process layer nodes are connected in series, the compensation algorithm layer is taken as a dynamic top-layer structure, the static top-layer structure and the dynamic top-layer structure are connected as connection nodes, a top-layer structure is constructed, the compensation mode and the compensation relationship of the hardware layer, the production process layer and the compensation algorithm layer are used to establish a data relationship of a middle-layer structure of each node in the top-layer structure, and the multi-layer compensation network is constructed according to the top-layer structure and the data relationship of the middle-layer structure.

[0054] Further, the compensation searching unit 13 further includes:

[0055] According to the multi-layer compensation network, compensation promotion relationships and compensation consumption relationships of compensation parameters at all levels are analyzed according to the compensation relationship, interference characteristics and their interference prediction ranges are satisfied as a target, compensation stability maximization and compensation consumption minimization are taken as evaluation parameters, each layer scheme is searched according to the compensation promotion relationships and the compensation consumption relationships of the multi-layer compensation network until a search stop condition is reached, each layer compensation parameter combination with the best evaluation result is obtained, and the multi-layer compensation scheme is obtained.

[0056] Further, the strategy construction unit 14 further includes:

[0057] An environmental interference characteristic is detected, compensation difference operation is performed on the environmental interference characteristic according to the static compensation result, interference compensation parameters and compensation differences are obtained, the interference compensation parameters and the compensation differences are taken as input variables, compensation analysis is performed through a dynamic compensation relationship, dynamic compensation parameters are obtained, and adaptive control is performed on operation parameters of the optical communication device according to the dynamic compensation parameters.

[0058] The optical communication device dynamic interference compensation device for a complex environment provided in the embodiment can execute the optical communication device dynamic interference compensation method for a complex environment provided in any embodiment of the application, has the function modules and the beneficial effects corresponding to the execution method.

[0059] Although the present application makes various references to certain modules in the apparatus according to the embodiments of the present application, however, any number of different modules can be used and run on the user terminal and / or the server, the various units and modules included are only divided according to the functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition, the specific name of each functional unit is only for the convenience of mutual differentiation, and does not limit the protection scope of the present application.

[0060] The above detailed description does not constitute a limitation on the protection scope of the present application. Those skilled in the art should understand that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for dynamic interference compensation of optical communication devices in complex environments, characterized in that, The method comprises the following steps: analyzing the interference parameters and interference characteristics and interference prediction range of optical communication devices in a complex environment; performing multi-level decomposition compensation from the hardware layer, the production process layer, and the compensation algorithm layer according to the interference parameters and interference characteristics and interference prediction range, and establishing a multi-level compensation network; performing multi-layer collaborative compensation search based on the multi-level compensation network to obtain a multi-level compensation scheme; extracting the static compensation result and the dynamic compensation relationship of the multi-level compensation scheme to construct an adaptive dynamic compensation strategy, wherein the static compensation result corresponds to the compensation fusion result of the hardware layer and the production process layer, the dynamic compensation relationship corresponds to the compensation scheme of the compensation algorithm layer, and the static compensation result and the dynamic compensation relationship are mapped and associated; performing multi-level decomposition compensation from the hardware layer, the production process layer, and the compensation algorithm layer, which comprises the following steps: establishing the compensation relationship of the hardware layer from the stress compensation of the silicon-based waveguide, the packaging material thermal expansion compensation, and the fiber array coupling optimization according to the interference characteristics and interference prediction range; establishing the compensation relationship of the production process layer from the stress process optimization and the packaging process optimization according to the interference characteristics and interference prediction range; performing dynamic compensation control parameter analysis according to the interference characteristics and interference prediction range, establishing the compensation relationship between the dynamic compensation control parameter and the characteristic compensation amount, and obtaining the dynamic control relationship of the compensation algorithm layer; establishing a multi-level compensation network, which comprises the following steps: taking the hardware layer and the production process layer as a static top-layer structure, wherein the hardware layer and the production process layer are connected in series, taking the compensation algorithm layer as a dynamic top-layer structure, connecting the static top-layer structure and the dynamic top-layer structure as connection nodes to construct a top-layer structure; establishing the middle-layer structure data relationship of each node in the top-layer structure according to the compensation mode and compensation relationship of the hardware layer, the production process layer, and the compensation algorithm layer; constructing the multi-level compensation network according to the top-layer structure and the middle-layer structure data relationship.

2. The method of claim 1, wherein, The method for analyzing the interference parameters and interference characteristics and interference prediction range of optical communication devices in a complex environment comprises the following steps: performing multi-dimensional analysis on the target complex environment in terms of electromagnetic interference, temperature environment change, vibration mechanical interference, light interference, and channel nonlinear change to obtain the existing interference types; determining the corresponding interference characteristics according to the sample data of the interference types; collecting sample data of the target complex environment to obtain the interference range, and performing environment proportion expansion prediction according to the time distribution and space distribution of the collected sample data to obtain the interference prediction range.

3. The method of claim 2, wherein, The method for performing environment proportion expansion prediction according to the time distribution and space distribution of the collected sample data to obtain the interference prediction range comprises the following steps: analyzing the range type of the target complex environment, which comprises a visible range and an invisible range, wherein the visible range is an environment type with clear range boundaries, and the invisible range is an environment type without clear range boundaries; when the environment type is the visible range, performing expansion prediction according to the space range proportion of the space distribution to obtain the interference prediction range; when the environment type is the invisible range, performing expansion prediction according to the space sample type proportion of the space distribution to obtain the interference prediction range.

4. The method of claim 1, wherein, Based on the multi-level compensation network, multi-layer collaborative compensation search is performed to obtain a multi-level compensation scheme, including: According to the multi-level compensation network, compensation promotion relationship and compensation consumption relationship of each level compensation parameter are analyzed according to compensation relationship; With the goal of satisfying the interference characteristics and its interference prediction range, the compensation stability maximization and the compensation consumption minimization are taken as evaluation parameters, each layer scheme search is performed according to the compensation promotion relationship and the compensation consumption relationship of the multi-level compensation network until the search stopping condition is reached, and the obtained each level compensation parameter combination with the best evaluation result is obtained to obtain the multi-level compensation scheme.

5. The method of claim 1, wherein, An adaptive dynamic compensation strategy is constructed, and then includes: Detecting environmental interference characteristics; According to the static compensation result, compensation difference operation is performed on the environmental interference characteristics to obtain interference compensation parameters and compensation difference; The interference compensation parameters and compensation difference are taken as input variables, compensation analysis is performed through dynamic compensation relationship to obtain dynamic compensation parameters, and adaptive control is performed on the optical communication device operating parameters according to the dynamic compensation parameters.

6. A dynamic interference compensation device for optical communication devices in complex environments, characterized in that The device is used to execute the optical communication device dynamic interference compensation method for complex environment in claim 1-5, including: Environment analysis unit: analyzing the interference parameters and its interference characteristics, interference prediction range of the optical communication device in the complex environment; Decomposition compensation unit: according to the interference parameters and its interference characteristics, interference prediction range, multi-level decomposition compensation is performed from the hardware layer, production process layer and compensation algorithm layer to establish a multi-level compensation network; Compensation search unit: based on the multi-level compensation network, multi-layer collaborative compensation search is performed to obtain a multi-level compensation scheme; Strategy construction unit: extracting the static compensation result and dynamic compensation relationship of the multi-level compensation scheme, constructing an adaptive dynamic compensation strategy, wherein the static compensation result corresponds to the compensation fusion result of the hardware layer and the production process layer, the dynamic compensation relationship corresponds to the compensation scheme of the compensation algorithm layer, and the static compensation result and the dynamic compensation relationship are mapped and associated.

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