2409results about "Electromagnetic transmission" patented technology

An apparatus (100) for detecting an Electro-Magnetic, EM, field, said apparatus comprising a: Rydberg-Atom EM Field Detector (107), RAEM-FD, configured to detect an EM field (170) of a given frequency; and Multi-Plate WaveGuide (105), MPWG, comprising: at least three overlapping and non-intersecting plates (180); and at least two waveguides (190), each formed by an adjacent pair of the at least three plates, and wherein each waveguide has a separation distance suitable (h) for supporting propagation of the EM field; and wherein the MPWG is arranged so as to direct the EM field towards the RAEM-FD.

The invention discloses a distributed computing task non-perception migration method and system under optical fiber network interruption. The distributed computing task non-perception migration method comprises the following steps: constructing a distributed task migration system and an output system architecture; collecting network state indexes, constructing a network topological graph, and analyzing the state of an optical fiber link for fault prediction; obtaining a calculation task operation state, establishing a sub-task mapping relation, constructing a directed dependency graph, and generating a state snapshot; analyzing resource requirements, reserving standby resources, and deploying a distributed cache system; analyzing a fault influence range, extracting an influenced calculation sub-graph, and selecting a migration target node; in a target node preloading environment, reconstructing an execution context, and redirecting a communication path; and setting a data change capture mechanism, synchronizing incremental data and executing consistency verification. According to the method, non-perception migration of the computing tasks is realized, task continuity and data consistency are guaranteed, and the reliability of the distributed computing system in an optical fiber network fault scene is improved.

The invention provides a hollow-core optical fiber cable fiber breakage detection method based on a reference optical fiber and an optical cable, and belongs to the technical field of optical fiber communication. The method comprises the following steps: acquiring monitoring data of a reference optical fiber in a hollow-core optical fiber cable, and performing quality evaluation on the data to generate a signal quality comprehensive score; when the score is higher than a preset threshold value, feature extraction and dynamic weighted fusion are carried out to generate a comprehensive feature vector; outputting a fiber breakage probability by using the fiber breakage state recognition model, calculating a fiber breakage risk value through a prediction model in combination with time sequence data, and obtaining a fiber breakage risk index through a risk fusion algorithm; and finally, matching and executing a hierarchical response strategy according to the risk index. According to the invention, multi-modal data fusion, intelligent state identification and active early warning are realized, and the reliability, precision and operation and maintenance efficiency of broken fiber detection are significantly improved.

The invention discloses a VGA (Video Graphics Array)-based 5G miniature optical transceiver module self-calibration method, which belongs to the technical field of optical transceiver module self-calibration, and comprises the following steps: S1, establishing a self-calibrated benchmark reference value through an initialization module and collecting environment parameters and benchmark optical parameters; s2, dynamically collecting and receiving optical power and environment change data, and judging whether deviation exceeds a threshold value or not to trigger model retraining by collecting actual operation data of environment parameters and driving parameters and combining a neural network model prediction target value; integration of a new data set and re-fitting of a non-linear relation enable the model to continuously adapt to the influence of long-term factors; key parameters such as a gain coefficient or a temperature compensation curve of a proportional-integral-differential control algorithm are dynamically corrected, long-term precision and reliability of a self-calibration system are guaranteed, and the problem of calibration failure caused by failure of a static model is avoided.

The invention provides a broadband tunable low-phase-noise photo-generated microwave signal source and device, and relates to the technical field of photo-generated microwaves. According to the invention, a low-frequency optical pulse and a high-frequency microwave signal are respectively input into the electro-optical sampling phase-locked loop; and the electro-optical sampling phase-locked loop determines the synchronization error of the optical pulse and the microwave signal based on the phase difference between the optical pulse center point and the microwave signal zero crossing point. And taking the synchronization error as a feedback signal, and continuously adjusting the frequency and the phase of the microwave signal by the voltage-controlled oscillation module until the frequency and the phase are synchronized with the Nth harmonic of the optical pulse. By setting different initial frequencies of the voltage-controlled oscillation module, microwave signals with different integral multiple optical pulse frequencies can be obtained, and broadband tuning of photo-generated microwave signals is realized. Furthermore, the repetition frequency of the frequency comb is locked through beat frequency of two beams of reference laser and two adjacent comb teeth, the stability of the reference laser is transmitted to the optical pulse, and the stability of the reference laser is further transmitted to the microwave signal through synchronization of the optical pulse and the microwave signal, so that the phase noise of the photo-generated microwave signal source is reduced.

The invention relates to an optical cable monitoring and data analysis method and device, equipment and a medium. The method comprises the following steps: acquiring current state data of an optical fiber link, and dynamically generating adaptive pulse coding parameters and matched filter parameters based on the data by using a deep reinforcement learning agent, so as to generate and inject coded pulses into the optical fiber link; and then receiving an echo signal, performing matched filtering processing on the signal by using the generated matched filter parameter to obtain a filtering output signal, further calculating a performance index vector and a reward signal, and finally updating a strategy network of the intelligent agent by using the reward signal, thereby realizing continuous optimization of pulse coding and matched filtering parameters. Therefore, the system can automatically adapt to the dynamic change of an optical fiber link, the spatial resolution, the dynamic range and the signal-to-noise ratio are effectively improved, and the adaptive capability and the robustness of the system are enhanced at the same time.

The invention relates to an optical fiber longitudinal power anomaly detection method and device, equipment and a storage medium. The method comprises the following steps: acquiring input optical power data of an input end of an optical fiber and actual output optical power data of an output end of the optical fiber; inputting the input optical power data into an optical power evolution physical model, and obtaining predicted output optical power data through optical power attenuation parameters of different positions of an optical fiber in the optical power evolution physical model; based on the difference between the actual output optical power data and the predicted output optical power data, using an artificial intelligence optimizer to optimize each optical power attenuation parameter until the difference satisfies a first preset condition; and obtaining a longitudinal power anomaly detection result of the optical fiber according to each optimized optical power attenuation parameter. By adopting the method, the efficiency and precision of optical fiber longitudinal power anomaly detection can be improved, and the detection cost is saved.

The invention discloses a phi-OTDR optical cable fault diagnosis method and system based on multi-channel topological data analysis, and is applied to the technical field of optical fiber sensing and intelligent operation and maintenance. The method comprises the following steps: acquiring a backward Rayleigh scattering signal of a sensing optical cable to obtain a spatio-temporal data matrix; preprocessing and multi-scale slicing are carried out to obtain spatio-temporal data segments, and initial position information based on the optical time domain reflection principle is added to each spatio-temporal data segment; different types of spatio-temporal data fragments are routed to corresponding topology analysis channels for parallel processing; extracting topological features and positioning information, and fusing the topological features and the positioning information to form optical cable full-state vectors; and outputting a diagnosis result based on the pre-trained intelligent diagnosis model, wherein the diagnosis result comprises a fault type, accurate position information and a health degree evaluation result. According to the method, the positioning robustness in a strong noise environment is effectively improved, and accurate fault classification and early capture and early warning of progressive performance reduction of the optical cable are realized.

The invention relates to the technical field of optical communication, and discloses an optical fiber loss evaluation method and system. The method comprises the steps that an optical fiber sensor collects real-time optical signal data and generates a dispersion velocity data sequence; extracting a fluctuation feature vector by adopting an adaptive filtering algorithm, and determining a dispersion velocity change trend; inputting the change trend and the transmission distance into a neural network model, predicting a loss fluctuation amplitude and generating a prediction loss sequence; calculating a coupling effect correlation coefficient, judging abnormal coupling and outputting an evaluation result; adjusting signal compensation parameters according to an evaluation result, optimizing nonlinear influence and determining a compensated dispersion velocity value; calculating a signal attenuation factor according to the compensated dispersion velocity value and the transmission distance, and generating an optimized transmission scheme; and updating optical communication network parameters according to the scheme, outputting stable signal quality and generating an optical fiber loss evaluation result. According to the invention, the problem of inaccurate evaluation caused by nonlinear fluctuation and signal coupling is solved, and the stability of optical fiber transmission and the signal quality are improved.

The invention discloses an optical communication network operation and maintenance fault reporting, positioning and tracking system, which relates to the technical field of optical communication network operation and maintenance, and comprises a coarse positioning module for performing phase demodulation and interference signal matching on optical fiber echo data, identifying a sudden change point and an abnormal interval, and generating a potential fault interval and a coarse positioning coordinate; the fine positioning module is used for transmitting a coded pulse signal to a link where the optical fiber echo data is located according to the potential fault interval and the coarse positioning coordinate, and performing matched filtering and deconvolution processing to generate a fine positioning echo characteristic curve; the fault identification module is used for carrying out deep learning classification on the fine positioning echo characteristic curve, identifying a fault type and generating a diagnosis result; and the visualization module is used for mapping the diagnosis result to the topology and geographic position information of the link section where the optical fiber echo data are located, and generating a visual interface. According to the invention, the manual troubleshooting time is obviously reduced, and the fault processing efficiency and reliability are improved.

The invention relates to the technical field of optical network operation and maintenance, and particularly provides an optical network fault prediction method and system based on MEMS characteristic embedding and digital twinning, and the method comprises the steps: collecting multi-physics field coupling parameters of optical network operation in real time through an MEMS multi-physics field coupling sensing unit which is disposed at an optical network key node and is embedded in a physical layer device; constructing an optical network cross-scale digital twin, inputting parameters to realize real-time synchronization and fault rehearsal of a physical entity and a virtual mirror image, and outputting a rehearsal result; constructing a fault prediction model based on an optical network physical mechanism, inputting parameters and rehearsal results to complete feature fusion and trend analysis, and outputting a fault prediction result; an intervention strategy is generated and subjected to twinborn virtual simulation verification; and after the verification is passed, driving the physical layer to execute intervention, and feeding back effect data to dynamically update twin model parameters. A closed loop of perception, modeling, prediction, intervention and feedback is formed, and the problems of prediction lag and low operation and maintenance efficiency in the prior art are solved.

In some embodiments, a fiber optic cable may be monitored while reducing false positives from disturbances in trusted areas. In some embodiments, a system includes a light source, a first remote termination unit in a trusted area, and a second remote termination unit in another trusted area. The light source emits light through the fiber optic cable, which passes through the first remote termination unit, an untrusted area, and then the second remote termination unit. The remote termination units reflect portions of the light back towards the light source. The system uses a prediction model to detect disturbances in the untrusted area based on the reflected light data.

The invention relates to the technical field of optical communication, and discloses an optical module adaptive test and rapid convergence method based on reinforcement learning, which can dynamically generate and execute an optimal test sequence for optical modules of different types or states through an off-line trained RL intelligent agent module, avoids redundant steps in a fixed process, and improves the test efficiency. On the premise of ensuring the test coverage, the test time is obviously shortened, and meanwhile, the detection probability of potential defects is improved; through the closed-loop test of the integrated RL intelligent agent module, the test action can be adjusted in real time according to the state of a single optical module, so that the test process can quickly adapt to the individual difference and process fluctuation of the device, the online quick convergence of the test strategy is realized, and the accuracy and stability of the test are guaranteed; and through online iterative optimization of the RL agent module, new data and new changes in the production process can be continuously learned, so that a test strategy is continuously evolved, and the optimal performance is kept for a long time.

The invention provides a method and a device for keeping butt joint of optical module channels. The method comprises the following steps: setting a mapping port of each local optical module channel to be in an MAC layer forced working state; sending a local speed reduction capability negotiation message; receiving an opposite terminal speed reduction capability negotiation message from an opposite terminal; when it is detected that a receiving end signal of a mapping port of any local optical module channel is abnormal, generating a fault channel notification message carrying a local fault optical module channel identifier, and sending the fault channel notification message through any local optical module channel; and according to the channel combination corresponding to each local support speed reduction rate and the channel combination corresponding to each opposite end support speed reduction rate, selecting an optical module channel combination which is commonly supported and has the maximum support speed reduction rate.

The invention relates to an optical time domain reflectometer and a control method of the optical time domain reflectometer, and relates to the technical field of photoelectricity. The optical time domain reflectometer OTDR comprises a single photon detector, and the OTDR is used for being connected with an optical fiber to be measured; the OTDR is further used for sending a plurality of detection signals to the optical fiber to be detected in sequence and receiving a plurality of detection echo signals from the optical fiber to be detected in sequence, and the detection echo signals are used for indicating the transmission state of the same section of transmission area in the optical fiber to be detected; performing amplitude reduction processing on each detection echo signal at a certain time interval to obtain a processed detection echo signal; the positions, corresponding to the same section of transmission area, of the signal sections subjected to amplitude reduction processing in the different processed detection echo signals are not completely the same; each processed detection echo signal is subjected to photoelectric conversion based on the single-photon detector to obtain a first electric signal, a first OTDR oscillogram is output based on the multiple first electric signals, and the first OTDR oscillogram is used for indicating the transmission state of the same section of transmission area. Therefore, the problem of OTDR curve distortion can be solved.

The invention relates to the technical field of communication optical cable operation state monitoring, in particular to a communication optical cable operation state monitoring operation and maintenance system and method. The method comprises the following steps: distinguishing operation environments of a buried optical cable and a sea surface optical cable by acquiring communication optical cable data and operation surrounding environment data, detecting a real-time operation state of the communication optical cable, and determining a physical disturbance response state of the communication optical cable based on the environment data of the buried optical cable; based on sea surface optical cable environment data, detecting a structure dynamic degradation condition, and evaluating a communication optical cable structure coupling damage degree; in combination with the structure coupling damage degree, the optical cable internal passage degradation condition and the optical path offset degree are determined, and then the link signal strength reduction condition is monitored; optical cable operation performance attenuation is estimated through signal intensity change, accurate positioning of an optical cable abnormal state is realized, and related abnormal data is uploaded to the cloud platform; through operation monitoring of the communication optical cable, operation of the communication optical cable is more stable.

The invention provides a verification test method and device for a satellite laser link and computer equipment. The method comprises the following steps: determining a zero point coordinate of a turntable according to a preset calibration rule; establishing a turntable reference coordinate system, a turntable zero point coordinate system and a laser terminal coordinate system; when the rotary table is in a zero-point coordinate state, the coordinate systems are jointly used, an angle deviation correction matrix of the laser terminal coordinate system and the rotary table zero-point coordinate system is determined, and space unified operation is achieved; the method comprises the following steps: after acquiring orbit and attitude data about a target satellite for a simulation test, generating a corresponding target control quantity according to the orbit and attitude data and an angle deviation correction matrix; and controlling the operation of a laser terminal and a rotary table in the satellite laser link test system by using the control quantity so as to simulate laser link capturing, tracking and establishing of the target satellite. Therefore, laser link capturing, tracking and establishing of the target satellite can be accurately simulated by establishing a unified space reference.

The invention discloses an OEO amplifier with a high-speed hard switching function and an optical transmission system, and relates to the technical field of optical amplifiers, the OEO amplifier comprises three magneto-optical switches, an optical splitter group, a photoelectric detector group, a real-time comparison circuit, a logic gate control circuit and a driving circuit; the photoelectric detector group collects optical signal power to generate an electric signal; the real-time comparison circuit performs voltage threshold judgment on the electric signal; the logic gate control circuit is connected with the output end of the real-time comparison circuit so as to synchronously control the switching states of the three magneto-optical switches according to a voltage threshold judgment result; the driving circuit is used for driving the magneto-optical switch to synchronously execute a switching action; when the OEO amplifier detects that optical signals in any direction are interrupted, all the magneto-optical switches finish synchronous switching within 100 microseconds, and the end-to-end optical signal switching time difference is smaller than 2 picoseconds. The method is suitable for a single-fiber bidirectional optical communication environment requiring high frequency, high precision and high stability.

The invention discloses a high-integration intelligent ignition head device and an automobile safety communication power supply system thereof. The device comprises an input unit, a power management module, a communication module, a communication judgment module, an MCU, a voltage sensing module, a current sensing module, an ignition control module, an ignition element and a substrate, and an environment self-adaption unit, a dual-mode wireless energy supply unit and an optical fiber diagnosis channel can be additionally arranged. The system adopts the device, communicates with a central control unit through a redundant optical fiber bus and a double-wire bus, and further comprises the central control unit, a dynamic topology reconstruction unit and a pre-ignition energy distribution unit. Through digital signal control, multi-dimensional sensing module integration and a double-wire bus topological structure, ignition threshold multi-stage protection, state real-time monitoring and feedback, multi-ignition-head parallel independent control and miniaturized function integration are achieved, and the reliability, the intelligent degree and the driving efficiency of an automobile safety system are improved.

The invention provides a fault positioning method and device, electronic equipment and a medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: carrying out the sampling of optical power data based on a preset sampling frequency, and determining optical power sequence data, the optical power sequence data comprises the identification of a PON port, the equipment identification of a user, and an optical power parameter, each PON port corresponds to a plurality of optical power sequence data; based on the optical power sequence data, determining a similarity value between any two users through unsupervised clustering and time sequence alignment in sequence; and correlation analysis is carried out on the similarity value between any two users, fault information is determined, and the fault information comprises a fault position, a fault equipment identifier and an identifier of a fault PON port. According to the method, through clustering and time sequence alignment, similar value calculation of optical power sequences and accurate delimitation of faults are realized, and the accuracy of fault positioning is improved; and the fault analysis and positioning efficiency is improved. Furthermore, the network stability and the user experience are guaranteed.

The invention relates to the technical field of optical communication equipment testing, in particular to an integrated optical module multi-parameter testing system and method.The method comprises the steps that a multi-channel parallel testing unit synchronously collects light spot morphology, divergence angles, insertion loss and return loss space and transmission characteristic parameters through a transmission light path and a reflection light path; the parameter collaborative analysis module performs nonlinear correlation analysis and dynamic performance threshold evaluation based on a cross-dimension correlation model; the intelligent calibration engine dynamically adjusts the test benchmark and compensation parameters according to the environment temperature and the equipment aging attenuation model; the fault diagnosis and prediction unit identifies potential defect types of the collimator, constructs a performance degradation prediction model in combination with a working state and environmental stress, and predicts a performance evolution trend according to test data; and the test report generation module automatically generates a standardized and customized dual-mode test report, a quality grade label and a performance optimization suggestion according to the prediction result and the diagnosis conclusion. Therefore, the problems of poor test precision, low test efficiency and the like in the prior art are solved.

The embodiment of the invention provides an air conditioning system, and relates to the technical field of air conditioners. According to the air conditioning system, indoor and outdoor communication is independently carried out through the indoor and outdoor master control circuit and the communication circuit without mutual influence. The air conditioning system comprises an indoor unit and an outdoor unit, the indoor unit comprises an indoor unit main control circuit and an indoor unit communication circuit, and the control end of the indoor unit communication circuit is electrically connected with the signal sending end of the indoor unit main control circuit; the outdoor unit comprises an outdoor unit main control circuit and an outdoor unit communication circuit. The control end of the outdoor unit communication circuit is electrically connected with the signal sending end of the outdoor unit main control circuit. The indoor unit communication circuit and the outdoor unit communication circuit comprise a first loop and a second loop; the signal sending end of the indoor unit master control circuit sends a first control signal to conduct the first loop, and the outdoor unit master control circuit receives the first signal; and the signal transmitting end of the outdoor unit master control circuit transmits a second control signal to conduct the second loop, and the indoor unit master control circuit receives the second signal.

The invention relates to the technical field of modeling prediction, and discloses a DSP integrated degradation and LSTM model optical module life prediction method, and the method comprises the steps: enabling a multi-parameter coupling degradation model and a Kalman filtering algorithm to be embedded into an optical module DSP at a calculation level through a DSP embedded mechanism model filtering LSTM network time sequence calibration collaborative architecture, and achieving the prediction of the life of an optical module. The in-situ, real-time and safe evaluation of the life state is realized, and the traditional mode of relying on external computing resources is changed; on the model level, the interpretability of a physical mechanism and the adaptive capacity of data driving are fused, fundamental degradation dynamics is described through a nonlinear coupling model, and a specific degradation rule is learned from individual historical data by using an LSTM network; finally, real-time, accurate and self-adaptive evaluation and prediction of the service life state of the optical module are realized.

The invention discloses a method and a system for monitoring the state of a high-concentration optical fiber based on multi-parameter fusion, and particularly relates to the technical field of situation awareness and monitoring of the high-concentration optical fiber, and the method comprises the steps: obtaining a multi-type physical sensing path deployed in a high-concentration optical fiber link, carrying out the periodic interception, peak value calibration and inversion compression operation after the data collection operation is executed, and obtaining the state of the high-concentration optical fiber. Generating a track expression unit set, executing time sequence similarity construction and physical channel synchronous mapping operation on the track expression unit set, and outputting a track memory expression structure; by introducing perturbation excitation, trajectory reconstruction and behavior consistency variable extraction processes before fusion processing, parameter paths with inconsistent response rhythms, trend direction conflicts or springback form instability are identified and eliminated, and only parameters meeting consistency criteria are reserved as fusion input. The problem that a multi-parameter fusion process lacks a consistency identification mechanism, and a false feature structure is generated in a non-cooperative state, so that state misjudgment is caused is solved.

The proposed full-coherent optical time domain reflectometry (FC-OTDR) solution extracts full optical phase and state of the polarization (SOP) information for fiber intrusion detection by constructing a continuous reflected SOP from each point of the fiber length. Intrusion location is then extracted from the resulting SOP change patterns.

A system includes a substrate on which a data processor and a connector block are mounted. The connector block has a first array of electrical connectors on a first surface, and a second array of electrical conducts on a second surface that is oriented at an angle between 45° to 135° relative to a main surface of the substrate. At least a portion of the first array of electrical connectors are electrically coupled to the data processor, and the second array of electrical contacts are electrically connected to the electrical contacts of a pluggable module. The pluggable module includes an optical module, at least one first optical connector, a first fiber optic cable optically coupled between the optical module and the first optical connector, and a fiber guide positioned between the optical module and the first optical connector and provides mechanical support for the optical module and the first optical connector.