1895 results about "Fiber-optic communication" patented technology

The invention provides an optical fiber communication equipment monitoring method and system based on big data and a medium, and belongs to the technical field of optical fiber communication and big data. The method comprises the following steps: synchronously acquiring operating parameters and environmental parameters of optical fiber equipment through a multi-source sensor network, and generating a standard parameter information matrix through space-time alignment and noise suppression; further extracting characteristics such as an optical signal stability index and vibration energy anomaly through time-frequency domain conjoint analysis, and constructing an equipment health state matrix; and predicting a degradation process based on a bidirectional LSTM model of an attention mechanism, and outputting a visual diagnosis result in combination with a dynamic threshold grading alarm mechanism. According to the scheme, the problems of high false alarm rate and insufficient prediction capability of a traditional monitoring method are solved, the false alarm rate is reduced, and the fault prediction accuracy is improved.

The invention relates to the technical field of communication, and discloses an optical fiber performance automatic test method, system and device based on optical power detection. The method comprises the following steps: carrying out intelligent scanning detection on an optical fiber network, generating optical fiber resource mapping data, obtaining an OTDR measurement configuration table through dynamic analysis, executing optical pulse injection and signal acquisition to obtain a time domain response characteristic curve, obtaining an optical fiber performance parameter set through wavelet denoising and peak value identification processing, and obtaining the optical fiber performance parameter set. And performing fault analysis by using deep learning and expert rules to obtain diagnosis decision data, and finally generating an optical fiber state evaluation report through digital twin modeling. According to the invention, remote automatic testing, intelligent fault diagnosis and visual monitoring management of the optical fiber network can be realized, and the operation and maintenance efficiency and reliability of the optical fiber communication network are improved.

The invention relates to the technical field of optical fiber communication monitoring, in particular to a passive optical fiber multi-parameter digital twin drive abnormal root cause positioning method and system. Collecting temperature, stress, acoustics and polarization signals, and constructing a time domain, frequency domain and energy domain coupling feature tensor and time sequence data set; performing nonlinear dimension reduction and feature decoupling by using a beta-VAE model, and dynamically quantifying contribution of each parameter to anomaly by using an integral gradient to form a contribution degree vector group; constructing a PINN digital twinborn model embedded with heat conduction and elasto-optical effects, and predicting a normal fluctuation range under contribution vector weighting and data-physics dual constraints; modeling measurement and prediction deviations under the guidance of contribution vectors, and outputting an abnormal measurement score, confidence, a position and a time sequence; and a causal graph neural network is constructed, topology and abnormal events are fused for tracing causes, a fault source is identified, and the model is subjected to closed-loop calibration. According to the invention, data driving and a physical mechanism are fused, and accurate detection and root cause positioning of the abnormity of the optical fiber system are realized.

Disclosed in the present invention is a method for automatically measuring and adjusting the refractive index of the cross-section of an optical fiber. The method comprises the following steps: S1, optical fiber alignment; S2, detection of optical signals; S3, automatic compensation for optical fiber fusion splicing; S4, analysis of the optical signals; and S5, automatic adjustment and compensation. Compared with the conventional related art, the automatic compensation technique for optical fiber fusion splicing in the present invention has advantages such as higher quality stability, reduced manual intervention, precise parameter adjustment, rapid response capability and improved production efficiency, and is applicable to production and application in the field of optical fiber communications.

The invention relates to the technical field of optical fiber communication, and discloses an optical fiber connector optical loss automatic detection method, device and equipment, and the device comprises a modulation signal dynamic adjustment module, an environment parameter adaptive calibration module and a deep learning prediction model. The modulation signal dynamic adjustment module enhances the separability of optical fiber signals through dynamic phase modulation, and the detection precision is improved; the environmental parameter self-adaptive calibration module compensates the influence of temperature, humidity and vibration on optical signals in real time, and the stability of the system is improved; the deep learning prediction model is based on multi-dimensional data fusion and weight dynamic optimization, high-precision prediction of the performance degradation trend of the optical fiber connector is achieved, closed-loop logic from data collection to real-time prediction is formed, experiments show that the detection precision of the method can reach 99.2%, the prediction accuracy is improved to 93% or above, the optical loss calculation error is reduced to 1%, and the method can be widely applied to the field of optical fiber connectors. And meanwhile, the response speed is increased to millisecond level. The method is suitable for monitoring and predicting the optical fiber performance in a complex environment, and the precision and the real-time processing capability are remarkably improved.

The invention relates to the field of power supply equipment monitoring, in particular to a distributed power supply state monitoring method and system based on optical fiber communication sensing. The method comprises the following steps: acquiring a power supply equipment distribution diagram; performing spatial layout distribution analysis on the power supply equipment distribution diagram to obtain power supply node layout distribution data; performing distributed topology reconstruction based on the power supply node layout distribution data to construct a power supply node topology network; acquiring real-time monitoring data of the power supply equipment based on the optical fiber communication sensing node; performing time window fine-grained division on the real-time monitoring data of the power supply equipment to obtain a plurality of time windows; performing multi-layer time-frequency local decomposition on the real-time monitoring data of the power supply equipment based on a plurality of time windows, and constructing a multi-period spectrum feature map; and extracting a power supply equipment time sequence voltage sequence based on the power supply equipment real-time monitoring data. According to the invention, efficient and accurate power supply equipment state monitoring is realized.

The invention discloses an optical fiber passive voltage and current fault diagnosis method, device, equipment and medium, and relates to the technical field of fault diagnosis, and the method comprises the following steps: generating and transmitting a test signal at a transmitting end of an optical fiber communication system, converting the test signal into an electric signal, and carrying out the time domain and frequency domain analysis of the electric signal; performing feature extraction on the electric signal based on a multi-dimensional analysis algorithm to obtain an electric signal multi-dimensional feature data set; monitoring data and fault historical data corresponding to the multi-dimensional feature data set are acquired, a fault evaluation model is constructed, and a fault evaluation coefficient is generated; and obtaining the fault evaluation coefficient of each part of the power transmission line at the same time interval within a period of time, and if the difference value of the maximum and minimum fault evaluation coefficients of each part is greater than a preset threshold value, carrying out monitoring. According to the invention, the early warning of the fault is realized, the fault can be rapidly positioned when the fault occurs, and the reliability and stability of the system are effectively improved.

The invention provides a digital twin hydrological station system which is characterized in that the system comprises a layered architecture system and a multi-dimensional safety protection mechanism, the layered architecture system is composed of a sensing layer, a transmission layer, a data layer, a model layer, an application layer and a display layer from bottom to top, the sensing layer comprises a heterogeneous hydrological monitoring equipment cluster, and the transmission layer comprises a heterogeneous hydrological monitoring equipment cluster. The equipment cluster is provided with a water level sensor array, a Doppler flowmeter, a spectrum water quality analyzer and an environment monitoring terminal, and total element acquisition of hydrological element data, equipment operation state data and environment data is realized; the transmission layer adopts a hybrid communication protocol stack, integrates an ultra-short wave communication module, an NB-IoT narrowband communication module and an optical fiber communication module, and constructs a multi-path redundant transmission channel, and a key data transmission channel is configured with a dynamic link selection algorithm; the data layer comprises a distributed storage architecture, adopts a mixed storage mode of a relational database cluster and an unstructured database, and is internally provided with a data cleaning engine and a spatio-temporal data fusion module.

The invention belongs to the technical field of information communication, and discloses an optical fiber logic link intelligent identification and early warning system, which comprises an optical fiber sensor, a data acquisition module, a processing unit and a communication module, the system is characterized in that the processing unit comprises a data processing module, a state identification module, an early warning mechanism and a data recording and analyzing module. The method has the main beneficial technical effects that a user can intuitively see the change trend of each parameter and the current link state, so that the user is ensured to know the potential fault or degradation risk at the first time. In the aspect of real-time monitoring, the system not only records current data, but also analyzes historical data by using an intelligent recognition algorithm, and recognizes the health state and the possible deterioration trend of the optical fiber link. The early warning system not only enhances the security of the optical fiber communication network, but also provides powerful information support for users, and assists the intelligent management of the optical fiber network.

The invention relates to the technical field of optical fiber communication, in particular to a digital twin model parameter updating method applied to an optical cable. The method comprises the following steps: collecting optical fiber laying data; performing laying structure division based on the optical fiber laying data to obtain flat structure optical fiber data and layer-stranded optical fiber data; evaluating the tensile strength of the optical cable based on flat structure optical fiber data; detecting the optical signal transmission intensity of the flat-structure optical fiber data based on the tensile property of the optical cable; performing intelligent loss compensation on the flat structure optical fiber data according to the optical signal transmission intensity to obtain signal compensation data; calculating the distribution uniformity based on the layer-stranded optical fiber data; determining optical fiber dislocation based on the distribution uniformity to obtain optical fiber dislocation data; and performing optical fiber Brillouin scattering detection based on the optical fiber dislocation data to obtain Brillouin scattering data. The accuracy and real-time performance of optical cable performance evaluation are improved based on the optical fiber communication technology, and therefore the stability and reliability of optical cable signal transmission are remarkably improved.

The invention provides an optical fiber communication line fault feedback system, which relates to the technical field of optical fiber communication fault diagnosis, and comprises a data acquisition module, a feature extraction module, a feedback module and a fault feedback module, according to the method, the attenuation rate, the reflectivity, the packet loss rate, the temperature, the humidity, the vibration signal, the electromagnetic pulse signal and the radio frequency interference signal of the optical fiber communication line are obtained; compared with the prior art, the method comprehensively considers the influence of communication related parameters and environment related parameters, achieves the comprehensive evaluation of the optical fiber communication line, and improves the evaluation accuracy of the optical fiber communication line. Therefore, the accuracy of subsequent fault diagnosis and fault classification 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 relates to the technical field of health management of optical fiber communication equipment, and discloses an optical fiber connector life prediction system based on digital twinning and multi-parameter fusion, which comprises a data acquisition module, a data preprocessing module, a feature extraction module, a model construction module, a fusion analysis module and a life prediction module. According to the optical fiber connector service life prediction system based on digital twinborn and multi-parameter fusion, multi-dimensional data is formed through the data acquisition module, complete and associated data support is provided for subsequent feature extraction and service life analysis, and a digital twinborn model is constructed based on three-dimensional structure parameters and material attributes of the optical fiber connector, so that the service life of the optical fiber connector is predicted. The virtual model can accurately reflect the structural state change of a physical entity in real time, in addition, the fusion feature vector and the structural state parameter are subjected to joint analysis, a comprehensive evaluation index capable of reflecting the association of the fusion feature vector, the structural state parameter and the comprehensive evaluation index is output, an accurate multi-dimensional evaluation basis is provided for life prediction, and then the life condition of the optical fiber connector is accurately predicted.

The invention relates to the technical field of optical fiber communication, and discloses a TMI effect calculation method and device in a high-power optical fiber laser. The method comprises the following steps: acquiring mode field distribution of a to-be-measured optical fiber in a bending state, further solving mode field distribution under a thermal load by taking the mode field distribution of the to-be-analyzed optical fiber in the bending state as a substrate, and calculating a TMI coupling coefficient and a threshold value by utilizing the mode field distribution. An electromagnetic wave intrinsic problem is solved by using a full-vector finite element method, refractive indexes and mode field distribution of different optical fibers under different bending radiuses and thermal load states are calculated, and the optical fiber laser is simulated to amplify different optical fibers according to different coiling modes in the amplification process of the optical fiber laser. Through the influence of the thermal lens effect caused by amplification on the final bending loss, mode field distribution and TMI coupling coefficient, the comprehensive effect of the influence of the bending and thermal lens effect induced mode change on the TMI is obtained, the theory is closer to the experiment, and the design of the fiber laser and the improvement of the nonlinear threshold value are further guided.

The invention discloses an optical fiber vibration signal time identification and classification method, system and device based on a Mam-YOLOv10 neural network and a medium, and belongs to the technical field of optical fiber communication, and the method comprises the steps: obtaining OTDR signals of a plurality of targets based on an optical fiber vibration signal collection system, and carrying out the denoising of the OTDR signals; performing short-time Fourier transform on the de-noised OTDR signal to obtain a two-dimensional time-frequency diagram of the vibration signal; based on the two-dimensional time-frequency diagram, multi-scale features of the optical fiber vibration signals are extracted; and inputting the multi-scale features into a Mam-YOLOv10 neural network containing a Mama attention block to complete identification and classification of the optical fiber vibration signals. According to the method, the influence of interference fading on the pattern recognition accuracy is effectively reduced, meanwhile, the hardware complexity is reduced, the attention weight is automatically adjusted according to different fault scenes and data characteristics, and the accuracy of optical fiber fault recognition and classification is improved.

The invention provides a fault positioning method for an optical fiber communication link, and relates to the technical field of optical fiber communication, the same detection pulse signals are transmitted to each branch of the optical fiber communication link, reflectors with different coding modes are installed at the tail ends of the branches of the optical fiber communication link to respectively code the detection pulse signals transmitted to the reflectors, and the detection pulse signals are transmitted to the optical fiber communication link. The coding detection pulse signal is reflected; processing and analyzing the coded detection pulse signal reflected by each branch, and calculating the total coded pulse and the light current density; establishing a link fault judgment model based on the light current density, calculating an optical fiber communication link fault probability, and judging that a fault occurs when the fault probability exceeds a threshold value; and when the fault is judged to occur, fault positioning is performed on the branch where the reflector which does not receive the detection pulse signal is located, and the fault position is fed back and reported to the system, so that the accuracy of fault judgment of the optical fiber communication link is improved, and the misjudgment cost and the maintenance efficiency are reduced.

The invention relates to the technical field of intelligent communication, and discloses an end-to-end optimization method, a signal constellation geometry and probability joint shaping optimization method in an end-to-end intelligent communication system, and a communication device based on a neural network. According to the method, a transmitter is constructed by using a neural network, and a received signal passes through a two-stage equalization processing system to form an end-to-end optimization framework without assistance of a channel model. The transmitter adopts a modular design, can realize joint optimization of constellation probability shaping (PS) and geometric shaping (GS), and performs joint updating on all trainable parameters of the system based on a total loss function containing an equilibrium error and a decoding error through a back propagation algorithm. According to the invention, computing resources are effectively saved; the two-stage equalization system can accurately compensate channel damage, the realized PS and GS joint optimization can significantly improve the performance of the communication system and reduce the bit error rate, and the method has good performance advantages and practical value in an actual optical fiber communication system.

The invention provides a real-time all-vanadium redox flow battery management system and a real-time all-vanadium redox flow battery management method based on a Linux system, and the real-time all-vanadium redox flow battery management system based on the Linux system comprises a battery management subsystem BMS, an energy storage converter PCS, an energy management subsystem EMS and an all-vanadium redox flow battery, the battery management subsystem BMS is used for monitoring, evaluating, protecting and balancing the all-vanadium redox flow battery; the energy storage converter PCS is used for controlling the charging and discharging processes of the all-vanadium redox flow battery, performing alternating current and direct current conversion and transmitting related information to the battery management subsystem BMS; and the energy management subsystem EMS is used for managing energy in the whole system, predicting the attenuation rate and the cycle life of the all-vanadium redox flow battery, and transmitting a prediction result to the battery management subsystem BMS through optical fiber communication. By means of the battery management subsystem, real-time monitoring is achieved, the operation capacity is high, and the real-time performance of the system is improved.

The invention discloses an optical fiber characteristic intelligent diagnosis and optimization system, which relates to the technical field of optical fiber communication and comprises an optical characteristic data acquisition module, a physical characteristic data acquisition module, an environmental characteristic data acquisition module, a data fusion module and a diagnosis and optimization module. According to the optical fiber characteristic intelligent diagnosis and optimization system, various factors influencing the performance of the optical fiber can be comprehensively considered by fusing the optical characteristic data, the physical characteristic data and the environmental data of the optical fiber, and the multi-modal data is comprehensively analyzed by using a data fusion algorithm, so that various states of the optical fiber are accurately diagnosed, and the optical fiber performance is optimized. The method has the advantages that the diagnosis accuracy and reliability are greatly improved, the possibility of missed diagnosis and misdiagnosis of faults is reduced, and a powerful guarantee is provided for stable operation of an optical fiber communication system.

The invention relates to an optical fiber communication sensing integrated architecture and a working method thereof. Comprising a sensing system laser, a coupler, a polarization beam splitter, a semiconductor optical amplifier, a polarization multiplexing communication transmitting system, a polarization wavelength two-dimensional demultiplexer, namely a WDM-PM device, a coarse wavelength division multiplexer MMI-WDM, a single-mode fiber, a polarization multiplexing communication receiving system, a polarization diversity double-balanced photoelectric detector PBPD, and an ROTDR and phi OTDR data processing unit. According to the invention, not only can high-capacity and long-distance communication under fusion of polarization multiplexing and wavelength division multiplexing be realized, but also sensing and communication can be fused through a wavelength division multiplexing system, the quality of sensing signals is improved through polarization diversity reception on the basis, and mutual promotion of communication and sensing is realized.

The invention provides an intelligent optical fiber distribution equipment health degree analysis method and device, and belongs to the technical field of optical fiber communication. A global LSTM model is constructed, and initialized global model parameters are issued to each intelligent optical fiber distribution equipment for local LSTM model training; and executing a parameter alignment compensation and parameter aggregation strategy on the global LSTM model by using the local training parameters obtained by each intelligent optical fiber wiring device, obtaining updated global model parameters, issuing the updated global model parameters to the local LSTM model of each intelligent optical fiber wiring device, and evaluating the current health state of each intelligent optical fiber wiring device. Through a distributed federated learning framework, local data distributed training and global model aggregation of intelligent optical fiber distribution equipment are realized, data such as optical power loss and plugging times are monitored and analyzed in real time, potential health risks are found in time, equipment damage caused by problem accumulation is avoided, and adaptability and accuracy of equipment health degree monitoring are improved.

The invention relates to the technical field of optical fiber communication, in particular to an optical fiber optical frequency transmission field optical fiber link noise simulation method and system, and the method comprises the steps: dividing laser generated by a laser into reference light and simulation light; modulating the analog light, performing field optical fiber transmission, and performing optical frequency processing on the analog light and the reference light to obtain a radio frequency signal; performing phase processing on the radio frequency signal to obtain continuous phase information and frequency conversion data; the method comprises the following steps: constructing an optical fiber optical frequency transmission field optical fiber noise simulation model, converting phase information and frequency conversion data into voltage data by using the noise simulation model, setting a modulation depth parameter according to the voltage data, performing modulation according to the modulation depth parameter, and adjusting the length of a laboratory winding optical fiber according to a modulation result to realize noise simulation. According to the method, different types and different magnitudes of field optical fiber link noise can be simulated.

The invention relates to the technical field of communication link switching, in particular to an intelligent power grid communication link automatic switching method and system, and the method comprises the steps: obtaining optical power data of a main optical fiber communication link at each sampling moment, determining a component jitter effect value of each modal component corresponding to each sampling moment, determining the electromagnetic interference quantity at each sampling moment by combining the change chaos degree of the modal component, analyzing the change of elements in the trend component vector to obtain an optical fiber communication abnormal value at each sampling moment, and calculating the communication quality reliability at each sampling moment based on the optical fiber communication abnormal value; and according to a comparison result of the communication quality reliability and a preset reliability threshold, judging the communication condition of the main optical fiber communication link, and carrying out automatic switching on the optical fiber communication link. According to the invention, the switching condition of the optical fiber communication link in the smart power grid can be judged more accurately, and the optical fiber communication fault can be processed in time.

The invention relates to the technical field of optical fiber communication, in particular to a method and a system for realizing optical fiber interconnection transmission by a high-speed serial transceiver based on an FPGA (Field Programmable Gate Array). Constructing a link feature baseline and combining with a multi-dimensional weighted quality index to drive an improved particle swarm algorithm to dynamically adjust a pre-emphasis coefficient and a receiving equalization parameter of the transceiver; signal jitter characteristics are extracted, clock data are dynamically adjusted based on the jitter characteristics and the bit error rate to recover the loop bandwidth, a forward error correction mode is dynamically switched through hysteresis threshold logic, and time delay and error correction capability are balanced; and continuously updating the baseline parameters through a closed-loop feedback mechanism to realize real-time adjustment and optimization of the quality of the optical fiber communication link.

The invention provides an intelligent flight control integrated system for a large unmanned aerial vehicle, and the system comprises a multi-mode environment sensing module, a self-adaptive flight control module, a dynamic power management module, a distributed communication architecture module, an intelligent task decision module, and a fault self-repairing system. The multi-mode environment sensing module is connected with the adaptive flight control module through a bidirectional real-time data bus, and transmits environment sensing data to the intelligent task decision module through an optical fiber communication redundant link; the dynamic power management module is connected with each function module through an intelligent power distribution matrix, and the intelligent power distribution matrix comprises a 16-channel programmable MOSFET array. Through cross-module collaborative design (perception-control-energy-communication) and physical constraint embedding (moment balance and optical fiber mechanical protection), the system has comprehensive advantages in the aspects of environmental adaptability, energy efficiency management, communication reliability, extreme fault tolerance and the like, and the performance boundary of a traditional unmanned aerial vehicle system is remarkably exceeded.

The invention discloses an optical fiber network port resource checking method and system based on big data, and the method comprises the steps: collecting the real-time data of a port, obtaining a preliminary data set, extracting key features in the preliminary data set, obtaining the abnormal change of the operation state of the port through the key features, and checking the abnormal change of the operation state of the port. Therefore, abnormal ports are identified and communication quality evaluation is carried out. The contribution degree of rate change to communication quality abnormity is further judged, a high-risk port set is obtained, a data visualization technology is applied to generate a resource checking report, the future bottleneck probability is dynamically updated, and a basis is provided for port resource optimization. According to the method and the system, the abnormal port in the optical fiber communication network can be effectively identified, the potential bottleneck can be effectively predicted, and data support is provided for port resource allocation, so that the network operation efficiency is improved, the port resources are dynamically allocated, and the communication quality is improved.

The invention relates to an electric power communication optical fiber fault monitoring and visualization method and system, and belongs to the technical field of optical fiber communication monitoring, and the method comprises the following steps: carrying out the real-time monitoring of an electric power communication optical fiber through a non-intrusive monitoring system, collecting an optical power signal in real time, and constructing an optical fiber resource database; when the non-intrusive monitoring system detects that optical power attenuation exceeds a preset threshold value, an optical time domain reflectometer OTDR is started to perform intrusive detection on an abnormal optical fiber, and an OTDR echo curve is obtained; extracting a composite feature vector of an OTDR echo curve, and identifying a fault type through a multi-stage fusion algorithm in combination with historical fault record data; according to the OTDR detection point coordinates, the optical path distance and the geographic information data, the position of a fault point is calculated, and the optical fiber topology, the position of the fault point and the fault type of the fault point are displayed in a visual interface. According to the invention, accurate fault identification and quick response are realized, and the operation and maintenance efficiency is improved.

The invention discloses a ship-shore safety connection system with efficient communication and safety protection, and particularly relates to the technical field of electric power and data connection of ships and shore bases, which comprises a medium-voltage composite optical fiber shore power cable, a dual-system electrical transmission system, a third-party linkage control center and a layered insulation monitoring module, the medium-voltage composite optical fiber shore power cable adopts a double-layer anti-torsion protective sleeve and an anti-electrostatic shielding layer, a double-system electrical transmission system is integrated with a broadband voltage self-adaptive module and a high-speed optical fiber communication repeater, the system realizes ship-shore potential difference monitoring and redundancy switching through a three-way data link, and a layered insulation monitoring module is used for positioning a fault point in real time. Besides, an environment reinforcing assembly, a multi-stage early warning mechanism and a communication line self-healing function are further arranged, the problems that a traditional system is poor in compatibility, low in communication efficiency and insufficient in safety protection are solved, and the system is suitable for efficient and safe connection between the ship and the shore base.

The invention relates to the technical field of optical fiber communication, and discloses a non-intrusive optical fiber optical power measuring system. According to the method, leakage light is generated through micro bending of an optical fiber, high-sensitivity amplification is performed on leakage light current by adopting an AD8304 logarithmic amplifier, and the measurement range of micro current is expanded in combination with an intercept adjustment technology; leakage optical signals in two directions at the micro-bend position are collected through a left-right dual-channel analog-to-digital converter (ADC), and accurate real-time monitoring of optical power is achieved through a digital processing module and a remote control module. The system comprises an optical fiber clamp module, a photoelectric conversion module, a logarithmic amplification circuit, a dual-channel ADC module and a remote control unit, and measurement is completed on the premise that normal communication of optical fibers is not affected at all. The problem that a communication link is interfered by traditional intrusive measurement is solved, the dynamic range of the measured actual optical power reaches 50dB, the measurement error is low, and a high-reliability solution is provided for performance monitoring and maintenance of an optical communication system.

The invention belongs to the technical field of optical fiber communication, and relates to an eight-mode mode division multiplexer based on a multi-core optical fiber, which comprises a substrate material and a central few-mode fiber core, a high-refractive-index ring is arranged in the central few-mode fiber core; the peripheral single-mode fiber core comprises a first single-mode fiber core used for carrying out LP11a mode conversion on the central few-mode fiber core, a second single-mode fiber core used for carrying out LP31 mode conversion on the central few-mode fiber core, a third single-mode fiber core used for carrying out LP11b mode conversion on the central few-mode fiber core, and a fourth single-mode fiber core used for carrying out LP21b mode conversion on the central few-mode fiber core; the fifth single-mode fiber core is used for carrying out LP12 mode conversion on the central few-mode fiber core; the sixth single-mode fiber core is used for carrying out LP21a mode conversion on the central few-mode fiber core; and the seventh single-mode fiber core is used for carrying out LP02 mode conversion on the central few-mode fiber core. The invention has the characteristics of large number of conversion modes, high space utilization rate, low insertion loss, high flux and the like.