62 results about "Wavelength allocation" patented technology

A method performed by an optical network controller includes: obtaining a topology structure of a subnet of a cluster, where the topology structure records an address of compute nodes in the subnet; determining a wavelength division configuration based on the topology structure, where the wavelength division configuration is used to allocate different wavelengths to the compute nodes in the subnet; providing the wavelength division configuration for the optical network switching device. Then the optical network switching device establishes an optical path between the optical network switching device and the compute node in the subnet based on the wavelength division configuration.

The invention provides a financial data analysis, identification and acquisition method and system. According to the method, firstly, a financial evolution graph is constructed based on cross-cycle financial revenue and expenditure data, multi-source heterogeneous financial data are integrated in real time through an optical interconnection storage device, time-space correlation characteristics are synchronously written in through a dynamic wavelength allocation protocol, and optical interconnection enhanced dynamic graph nodes are generated. A deviation early warning feature vector is generated by combining capital flow entropy change of an atlas node, after an atlas topology reconstruction rule is triggered, cross-department data consistency is verified through polarization state coding of an optical interconnection device, and policy effect lag parameters are extracted. And finally, correcting the weight of the atlas node based on a dynamic prediction mechanism, and outputting a cross-department financial traceability report. According to the technical scheme provided by the invention, through optical interconnection enhanced dynamic atlas and cross-department data fusion, the financial resource configuration abnormity monitoring capability is improved, and accurate traceability of a policy lag effect and a fund chain fracture risk is realized.

The invention provides a dynamic wavelength allocation method based on DCI wavelength division II type equipment. The method comprises the following steps: acquiring an occupation state and a transmission quality index of each wavelength channel of a current network; establishing a wavelength channel quality evaluation model, and scoring each wavelength channel according to the transmission quality index of each wavelength channel of the network; according to the bandwidth requirement, the priority and the QoS requirement of the service request, generating a traffic characteristic matrix containing the delay sensitivity and the bandwidth requirement through a traffic prediction algorithm; based on a network state and the traffic characteristic matrix, through resource availability calculation and path quality evaluation, forming an allocable wavelength resource pool and a quality score thereof; for the allocatable wavelength resource pool, generating an optimal wavelength allocation scheme by adopting an improved heuristic algorithm and comprehensively considering the resource utilization rate, the signal quality and the service priority; and according to the performance feedback of the optimal wavelength allocation result and the network state change, continuous optimization of wavelength allocation is realized through a self-adaptive adjustment mechanism. The method can effectively deal with the dynamic flow change in the DCI network, improve the resource utilization rate, ensure the signal quality and meet the QoS requirement of the service, thereby providing an efficient and reliable wavelength allocation solution for the data center interconnection network.

The invention provides an optical communication flow dynamic wavelength allocation optimization method and system, computer equipment and a storage medium, flow monitoring modules are arranged at nodes of an optical communication network, flow data of different service types at the nodes are acquired, a central control unit acquires existing wavelength resource information in the optical communication network, and the optimal wavelength allocation of the optical communication flow is realized. Evaluating whether the current wavelength resource allocation is reasonable; the central control unit sends the generated dynamic wavelength allocation mechanism to each node of the optical communication network, and each node adjusts the existing wavelength allocation through the received mechanism; and continuing to collect data of different services at each node, transmitting the collected data to the central control unit for evaluation, and if the preset target is not reached, executing the above steps again. The method has the advantages of balancing the resource distribution of the whole network, avoiding local congestion, improving the overall resource utilization rate, remarkably reducing the problems of packet loss rate and delay exceeding caused by signal crosstalk, reducing the probability of fragment generation in the future and avoiding single-point congestion.

The invention relates to an optical network routing intelligent planning method and system based on multi-objective optimization. The method comprises the following steps: performing recursive partitioning on a target optical network to obtain a plurality of sub-network units and a boundary node set; inputting the plurality of sub-network units into a three-layer deep learning model for processing to obtain a routing decision matrix and a wavelength allocation vector; inputting the plurality of sub-network units and the boundary node set into a distributed controller for processing to obtain an error compensation matrix; based on the routing decision matrix and the wavelength allocation vector, performing dual strategy processing of time delay priority and hop count priority to obtain a time delay weighted evaluation function and a hop count weighted evaluation function; performing multi-target joint optimization to obtain an optimal routing scheme; and performing reconstruction cost calculation on the optical path set according to the error compensation matrix and the optimal routing scheme, and outputting a resource reconfiguration scheme. According to the implementation of the invention, the resource overhead in the network reconstruction process is reduced, and the overall operation efficiency of the network is improved.

The invention relates to the technical field of optical cable fault diagnosis, in particular to an intelligent diagnosis and maintenance system for an electric power communication optical cable. Comprising an optical cable monitoring module; a data processing module; the fault positioning module is used for positioning an optical cable fault position based on the data of the optical cable monitoring module and the physical structure and layout information of the optical cable, extracting fault features by comparing monitoring data changes before and after the fault, and identifying a fault type according to an optical cable performance evaluation model; and the maintenance strategy generation module is used for generating an optimal maintenance strategy according to the fault positioning result and the real-time state of the optical cable, and dynamically adjusting transmission power, wavelength allocation and a coding mode according to the performance change of the optical cable. According to the intelligent diagnosis and maintenance system for the electric power communication optical cable, the optical cable is monitored in real time, the transmission burden is reduced, the maintenance cost is reduced, the abnormal state and potential faults of the optical cable are intelligently diagnosed, and the stability of data transmission is ensured.

The invention relates to the technical field of optical communication, in particular to an algorithm service system and method for an optical transport network, and the system comprises an optical network sensing module which is used for collecting optical layer performance parameters, service flow data and node equipment operation states of the optical transport network; the deep algorithm decision center predicts service traffic based on a space-time diagram convolutional network, and optimizes routing wavelength allocation through reinforcement learning; the strategy adaptation module is used for dynamically generating an operation and maintenance strategy and an energy-saving scheduling instruction according to the prediction result and the optimization scheme; the risk assessment unit is used for assessing a link fault risk, a service interruption risk and a network congestion risk in real time, quantifying a risk weight through an analytic hierarchy process, and optimizing an operation and maintenance strategy in combination with historical fault data; and the intelligent resource reconstruction unit is used for performing optical channel reconstruction according to the optimized operation and maintenance strategy, dynamically allocating optical layer resources or switching redundant transmission paths. Therefore, the problems of poor strategy adaptability, low resource scheduling efficiency, insufficient fault-tolerant capability and the like in the prior art are solved.

An optical network unit, ONU, (100) for a passive optical network, PON, comprising:a tunable receiver (110);a tunable transmitter (120); anda controller (130, 230) comprising a processor (132) and memory (134) containing instructions (136) executable by the processor whereby the ONU is operative to:if the tunable transmitter is on, switch the tunable transmitter off and if the tunable receiver is off, switch the tunable receiver on;determine a downstream control channel wavelength;set an operating wavelength of the tunable receiver to the downstream control channel wavelength;receive a downstream control channel signal at the downstream control channel wavelength from a central office, CO, node of the PON, the downstream control channel signal carrying an indication of an allocation of channel wavelengths to ONUs;obtain allocated downstream and upstream channel wavelengths for the ONU from the indication of an allocation of channel wavelengths to ONUs;set an operating wavelength of the tunable receiver to the allocated downstream channel wavelength and set the operating wavelength of the tunable transmitter to the allocated upstream channel wavelength; andswitch the tunable transmitter on.

A wavelength cross-connect device is formed by connecting a plurality of wavelength cross-connect devices in a ring-like form with WDM networks for each band of a plurality of bands on the input / output sides of the wavelength cross-connect devices, and includes a link wavelength allocation control unit. The link wavelength allocation control unit performs control to set different optical paths through which optical signals of the same wavelength are transmitted in the same zone between wavelength cross-connect devices, in the WDM networks of different bands in the same zone.

The invention discloses a heterogeneous resource collaborative scheduling method for training an AI inference service, which comprises the following steps of: establishing a mixed integer linear programming model MILP based on an AI inference collaborative heterogeneous resource scheduling problem trained by a distributed model, and maximizing the number of successfully sent AI inference sub-tasks by the final goal of the proposed MILP, the utilization rate of heterogeneous resources in the NG-RAN and the backlog of the AI reasoning service are minimized; constructing an edge computing resource request, computing processing capability, a task backlog threshold value of an AI reasoning sub-task on an edge server and a complaint rate threshold value of the AI reasoning sub-task as constraint conditions; the deployment of the DU-CU in the network architecture is standardized; adjusting wavelength allocation in the network; and the capacity requirement of the network is specified. According to the method, the number of successfully sent AI inference service subtasks can be maximized, and meanwhile, the heterogeneous resource occupancy rate and the AI inference service subtask backlog amount are minimized.

The invention discloses a master-slave ONU interconnection optical transceiver module for FTTR and a control method. The control method comprises the following steps: an optical parameter acquisition module acquires a link type and a transmission quality parameter; the optical power control module generates a dynamic adjustment strategy in combination with the cloud reference value and the actually measured parameters; the wavelength allocation module generates a wavelength resource strategy, and triggers protection switching and interference suppression when optical power fluctuation exceeds a threshold value; the optical transceiving execution module executes transmission, and a cruise protection mode is started when the optical monitoring module detects quality degradation; and when the interference is lower than a threshold value, relieving protection and recovering a strategy, and completing stable link establishment. The device comprises an optical parameter acquisition module, an optical power control module and the like which cooperatively realize parameter acquisition, strategy generation and execution control. The optical power and wavelength resources can be finely regulated and controlled according to different scenes, the interconnection stability of the master ONU and the slave ONU is improved, the anti-interference and self-healing efficiency in a complex environment is remarkably superior to that of a traditional scheme, and the method is suitable for FTTR networking scenes of families, enterprises and the like.

The invention discloses an automatic remote control method and system for a port machine, and relates to the technical field of automation, and the method comprises the steps: front-end processing equipment is connected with a lifting appliance positioning sensor and a motor driver, generates an equipment topological graph, is connected with a plurality of port machine PLC networks through a Profibus-DP coupler, and outputs a network state report; meanwhile, a dual-redundancy operation platform interface is configured and a state identification signal is output; based on the state identification signal, constructing an all-optical link and generating an optical fiber path topology, performing layered transmission on a lifting appliance control instruction and a path instruction, establishing a heartbeat detection mechanism and triggering a state confirmation signal; receiving a state confirmation signal and the wavelength allocation table, and acquiring laser radar point cloud data through a dedicated channel to execute lifting appliance obstacle avoidance correction; and based on the operation control authority and the new optimal path sequence, constructing a digital twin, and generating a scheduling report through an LSTM model. According to the method, the special channel and the shared channel are constructed, so that instruction blocking is eliminated.

The invention relates to an optical fiber wavelength division multiplexing transmission method and system with adjustable coherent light wavelength, and relates to the field of wavelength transmission, each coherent light communication device collects service characteristic parameters, identifies service types and reports wavelength application requirements, and a network controller plans and generates an allocation scheme in combination with the whole network wavelength resource state. The method solves the problems that wavelength allocation and management are lack of flexibility and intelligence, are difficult to quickly adapt to network changes, service requirement adjustment and fault recovery, and are difficult to realize data transmission. The invention solves the technical problems of low transmission efficiency and influence on network stability and reliability caused by the fact that the existing optical fiber wavelength division multiplexing system is low in transmission efficiency, effectively improves the flexibility and intelligence of wavelength distribution, can dynamically adapt to network change and service requirements, ensures efficient and stable data transmission, and improves the overall performance and reliability of the optical fiber wavelength division multiplexing system.

The present invention discloses an equally spaced wavelength allocation method for suppressing noise in a multi-core optical fiber quantum key distribution system, and the method is applicable to a space-division multiplexing quantum key distribution optical network. The method mainly considers the main noises involved in the space-division multiplexing system, such as the intra-core noise, inter-core noise, forward noise, and backward noise, and aims to minimize the noise on the quantum channel and maximize the security key rate. A quantum channel equal frequency interval wavelength allocation scheme is proposed, which can ensure that while improving the utilization rate of channel resources, the security key rate is improved, the secure transmission distance is extended, etc. The present invention lays a technical foundation for the fusion transmission of quantum key distribution and classical optical networks, and promotes the application process of quantum key distribution.

The present application relates to the technical field of passive optical network bandwidth allocation, in particular to a passive optical network bandwidth and wavelength allocation method and system with a dedicated activation wavelength, which introduces an additional dedicated activation wavelength on the basis of a traditional working wavelength, and allocates the bandwidth of the working wavelength and the activation wavelength to the optical network unit in coordination, effectively alleviating the bandwidth pressure of the working wavelength, optimizing the data transmission efficiency and bandwidth utilization, and further improving the overall performance of the network. At the same time, by generating and broadcasting a bandwidth allocation mapping, it ensures that each optical network unit can accurately obtain the bandwidth allocation result and efficiently send service request data on the allocated wavelength. This dual-wavelength cooperative working mechanism not only enhances the flexibility and scalability of the network, but also provides users with more stable and efficient data transmission services.

The invention relates to the technical field of wide area networks, and discloses a cross-domain distributed machine learning-oriented adaptive parameter synchronous scheduling method in an optical wide area network, which comprises the following steps of: firstly, calculating two-hop bandwidths of each node, then sorting according to the sizes of the two-hop bandwidths, respectively selecting the first m nodes as aggregation nodes, respectively establishing mathematical models, the method comprises the following steps of: firstly, respectively calculating corresponding GMSTs according to relaxation and deterministic rounding thoughts, then comparing the GMSTs under different m conditions, finally selecting m nodes with the minimum GMST as aggregation nodes, and obtaining corresponding path, rate and link wavelength allocation strategies. According to the method, reconfigurability of network topology of the wide area network and rapidness and simplicity of parameter aggregation operation are considered at the same time, the number and positions of aggregation nodes can be adaptively selected according to network information and training task information, and wavelength allocation of optical fibers in the network is decided at the same time.

The application discloses a kind of based on optical communication's multiple RGV things association method and system, the present application relates to the field of multiple equipment collaborative control and optical communication technology in industrial automation logistics system, including the following steps: S1: by the multiaxis adjustable light transceiver module of each RGV carrying real-time acquisition position, motion state and environmental barrier information, generate dynamic light relay priority weight.The multiple RGV things association method and system based on optical communication, through the deep integration of dynamic light relay network and adaptive wavelength allocation technology, significantly improve the communication stability and collaborative efficiency of multiple RGV in complex industrial scene;Based on the node selection mechanism of dynamic light relay priority weight, combined with the mixed integer programming model of elastic channel, realizes the uninterrupted transmission and efficient channel multiplexing of optical communication link in mobile shielding scene.

The embodiment of the invention provides a vehicle-mounted communication method, device and system and a storage medium, and relates to the technical field of communication. The method comprises the following steps: allocating a wavelength channel for each sensor through a dynamic wavelength allocation controller according to the type and communication load of the sensor; according to the wavelength channel allocated to each sensor, generating an optical signal of a corresponding wavelength through a temperature control distributed feedback laser, and modulating data of each sensor to the optical signal of the corresponding wavelength; the modulated optical signals with different wavelengths are input into an array waveguide grating multiplexer to be multiplexed into single-path optical signals, and demultiplexing is carried out through an array waveguide grating demultiplexer to generate data of each sensor; the communication load of each sensor is fed back to the dynamic wavelength allocation controller. According to the method, based on the types of the sensors and the communication loads, wavelength channels are dynamically allocated to different sensors, the time delay of multiplexing and demultiplexing is reduced, and therefore the real-time performance and reliability of vehicle-mounted communication are improved.

The invention discloses a multi-service broadcast light receiving scheduling method and system based on wavelength allocation, and relates to the technical field of optical network communication, and the method comprises the steps: carrying out the combined modeling of the type, time limit and data scale constraint of a service request, a wavelength resource occupation state and an interference risk for a broadcast type WDM multi-service concurrent receiving scene, and obtaining a multi-service broadcast light receiving scheduling model; the method comprises the following steps: dynamically grouping available wavelengths based on service category load prediction to realize a self-adaptive resource boundary according to service attributes; and constructing a comprehensive priority index containing the latest receiving time limit, the service category and the candidate wavelength interference risk, executing ordered cross priority scheduling, arranging a receiving time slot on a target wavelength to generate a wavelength scheduling table and a receiving scheduling table, and finally driving a receiver to tune and receive according to the time slot by using a scheduling instruction. Therefore, while the wavelength utilization rate is improved, the receiving conflict and the delay jitter are reduced, and the key service guarantee is enhanced.

The application discloses a kind of port machine automation remote control method and system, it is related to automation technical field, including front end processing equipment connection spreader positioning sensor and motor driver, generates equipment topology diagram, interconnects multiple port machine PLC networks by Profibus-DP coupler and exports network status report, while configuring double redundancy operation platform interface and exports state identification signal;Based on state identification signal, construct all-optical link and generate optical fiber path topology, hierarchical transmission of spreader control instruction and path instruction is established, heartbeat detection mechanism is established and state confirmation signal is triggered;Receive state confirmation signal and wavelength allocation table, obtain laser radar point cloud data by special channel to execute spreader obstacle avoidance correction;Based on operation control authority and new optimal path sequence, construct digital twin, generate scheduling report by LSTM model.The application eliminates instruction blockage by constructing special channel and shared channel.

This application provides an optical path establishment method, applied to an optical network. The optical network includes an optical network controller and an optical network switching device. The optical network switching device is configured to exchange data between compute nodes in a cluster. The method includes: The optical network controller obtains a topology structure of a subnet of the cluster, where the topology structure records an address of the compute node in the subnet. The optical network controller determines a wavelength division configuration based on the topology structure, where the wavelength division configuration is used to allocate different wavelengths to the compute nodes in the subnet; and then provides the wavelength division configuration for the optical network switching device. Then the optical network switching device establishes an optical path between the optical network switching device and the compute node in the subnet based on the wavelength division configuration. In this way, the optical network switching device can distinguish between optical signals based on the wavelengths, and directly transmit the optical signal to the compute node through the optical path, to avoid a congestion problem caused by burst traffic and shorten long-tail latency.

The present application relates to the technical field of failure prediction, in particular to a kind of optical fiber network resource failure prediction method, comprising the following steps: obtaining optical network optical cross-connect request arrival rate and wavelength allocation signaling processing time, enter controller system state space matrix, generate block tri-diagonal transition rate array, the block tri-diagonal transition rate array is iteratively solved, and signaling state steady-state probability vector is generated.In the present application, the bar code length shortening rate under continuous time window continues to enter the paralysis risk quantitative set together with the buffer overrun probability evaluation value, both retain the topology contraction trend, and also retain the signaling backlog degree, the output network resource failure warning signal thus has time sequence, structure and service pressure, short-term disturbance and sustained instability can be distinguished when failure has not yet been apparent, and the early warning advance and risk positioning accuracy are improved.

The invention provides a wavelength routing method and device, equipment and a storage medium, which can be applied to the technical field of optical communication. The method comprises the following steps: acquiring a structure diagram of an optical topology network to be subjected to wavelength routing; converting the structure diagram of the optical topology network into an auxiliary diagram; converting a wavelength allocation problem into a graph coloring problem of the auxiliary graph; converting a graph coloring problem of the auxiliary graph into an Isin model; converting the graph structure of the auxiliary graph into an interaction matrix of the Isin model; and obtaining a wavelength allocation result of the optical topology network according to the interaction matrix of the Isin model. The method has the characteristics of adaptability to a large-scale network, rapidness and high accuracy.

The invention relates to the technical field of wireless networks, and particularly provides a wavelength management method, device and equipment, a medium and a product. The method comprises the following steps: determining at least one candidate wavelength group based on performance parameters of candidate wavelengths; based on the transmission distance of each far-end node, distributing a corresponding first wavelength group to each far-end node from the at least one candidate wavelength group; and carrying out wavelength allocation based on the flow load of each remote node and the corresponding first wavelength group to obtain a target wavelength corresponding to each remote node. Reasonable wavelengths can be allocated to the far-end nodes through wavelength grouping, and resource waste caused by performance difference between different wavelengths is avoided. Moreover, according to the flow load conditions of different remote nodes, the wavelength resources can be allocated more reasonably, and the problem of unreasonable wavelength allocation caused by a single influence factor is avoided. Therefore, the efficiency of wavelength management can be improved.

The invention relates to a cross-layer optical network routing optimization method assisted by a large language model. The method comprises the following steps: constructing a framework of a cross-layer optical network, and collecting network physical node composition, link resource parameters and service request characteristics; designing an auxiliary graph model, and converting a cross-layer network routing optimization problem into a minimum cost path calculation problem in a virtual topology; building an auxiliary graph model weight optimization framework endowed by the large language model, and preliminarily generating an edge weight of the auxiliary graph model by the large language model; calculating a minimum cost path based on the edge weight of the initial auxiliary graph, evaluating a network performance index corresponding to the path, inputting an evaluation result as feedback data into the large language model, and iteratively adjusting the edge weight until the performance index is converged to be optimal; and completing routing planning and wavelength allocation of all service requests in the auxiliary graph model according to the optimal edge weight. According to the method, a large language model and an auxiliary graph model framework are combined, so that the flexibility and the multi-target adaptation capability of routing optimization are improved, and global optimization is realized.

This invention relates to the field of fault prediction technology, specifically to a method for predicting optical fiber network resource faults. The method includes the following steps: obtaining the arrival rate of optical cross-connection requests and the wavelength allocation signaling processing time of the optical network; substituting these into the controller system state space matrix to generate a block tridiagonal transfer rate array; iteratively solving the block tridiagonal transfer rate array to generate a signaling state steady-state probability vector. In this invention, the barcode length shortening rate under continuous time windows continues to be included in the paralysis risk quantification set along with the buffer over-limit probability assessment value. This preserves both the topology contraction trend and the signaling backlog, thus the output network resource fault early warning signal possesses both temporality, structural characteristics, and service stress resistance. It can distinguish between short-term disturbances and sustained instability before the fault manifests, improving the early warning lead time and risk location accuracy.

The invention discloses a multi-RGV Internet of Things method and system based on optical communication, and relates to the technical field of multi-device cooperative control and optical communication in an industrial automation logistics system, and the method comprises the following steps: S1, collecting the position, motion state and environment obstacle information in real time through a multidirectional tunable optical transceiver module carried by each RGV, and generating a dynamic optical relay priority weight. According to the multi-RGV Internet-of-things method and system based on optical communication, through deep fusion of a dynamic optical relay network and an adaptive wavelength allocation technology, the communication stability and cooperation efficiency of multiple RGVs in a complex industrial scene are significantly improved; based on a node selection mechanism of a dynamic optical relay priority weight, in combination with a mixed integer programming model of an elastic channel, uninterrupted transmission and efficient channel multiplexing of an optical communication link in a mobile shielding scene are realized.

This patent discloses a resource allocation method based on link influence in a dual-protocol quantum optical network. This method is mainly aimed at the application scenario of a dual-protocol QKD optical network based on BB84 and SNS, and solves the resource competition problem between the two quantum key distribution services and data communication services. This method fully considers the characteristics of the two protocols, and proposes an SNS wavelength allocation method based on link influence and a fiber core allocation method for reserved quantum cores, which can effectively improve the QKD performance in the network. The method proposed by the present invention helps to promote the development of quantum key distribution optical networks in which multiple protocols coexist, laying the foundation for their widespread application.

The invention provides an AWG optical module based on a wavelength allocation algorithm, and relates to the technical field of AWG optical modules. Quartz and silicon dioxide with the same thermal expansion coefficient are respectively used as a substrate and a cladding when the AWG optical module is processed and used; oxide phosphorus pentoxide and diboron trioxide are doped into the cladding, so that the expansion coefficient of array guided waves with the wave spacing of 1-5 microns at the joint of flat guided waves is increased to 2.42 * 10 <-6 > / DEG C, and the polarization dependent wavelength WPD of the waveguide at the joint can be reduced to be within 0.05 nm; the thermal expansion coefficients of the quartz substrate and the undoped silicon dioxide cladding are the same, so that the WPD of the whole AWG device can be optimized to be within 0.05 nm, the polarization-dependent wavelength is reduced, and the performance optimization use of the AWG optical module is achieved.