828 results about "Optical networking" patented technology

The invention discloses an optical transmission network hidden danger detection method and device and a computer program product, which can realize dynamic adjustment of differentiated bandwidth requirements by acquiring optical network state information in real time, evaluating service priority and establishing an optical channel resource allocation model. And when a topology anomaly is detected, constructing a service quality evaluation model by using a long-short-term memory neural network, and quantitatively analyzing the influence of the anomaly on the service. When a fault occurs, distributed link fault detection and a fault diagnosis engine based on a decision tree are adopted, and fault hidden dangers are quickly positioned and classified. And then, through an elastic recovery mechanism oriented to service sensitivity, the service quality level of a standby optical path is adjusted, and an optical layer topology connection relationship is optimized. According to the method, the resource utilization efficiency, the fault recovery capability and the service quality of the optical network are remarkably improved, and an innovative solution is provided for intelligent optical network management.

Described herein are a computing systems comprising a photonic interposer having an optical network comprising a plurality of waveguides and a plurality of controllable optical switches; an electronic die having a surface bonded to the photonic interposer, an inner interface comprising a first plurality of ports electrically coupling the electronic die to the photonic interposer through the surface; and an outer interface comprising a second plurality of ports electrically coupling the electronic die to the photonic interposer through the surface, wherein the outer interface at least partially encloses the inner interface.

The invention discloses a multi-mode optical signal transmission method and device, electronic equipment and a storage medium, and relates to the technical field of computers.The transmitted data stream is divided into a control signal and a data signal, the control signal is a visible light wave band, the data signal is an infrared wave band, and the control signal and the data signal are combined to a single multi-core optical fiber through a combiner; the optical network controller allocates subcarrier resources as required according to the change of network flow in a spectrum dynamic allocation mode to perform data transmission, so that the subcarrier resource allocation adapted to the change of network flow improves the dynamic adaptability, and the allocation of the subcarrier resources as required improves the equipment cooperation efficiency, and in the data transmission process, the data transmission efficiency is improved. Clock synchronization and signal encryption are realized through a quantum key distribution mode, and the security is 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.

The invention relates to a resource allocation method and system for dynamic load balancing of a data center elastic optical network, and belongs to the technical field of communication. Comprising the following steps: initializing data center elastic optical network parameters, and generating a connection request; judging whether the residual computing power resources of the source node and the destination node meet the request requirement or not, if so, calculating K working paths, selecting the shortest path, calculating the number of required spectrum slots, and judging whether the paths have residual spectrum resources or not; if yes, layered traffic grooming evaluation parameters are calculated, and the optimal spectrum layer is selected for grooming traffic; if not, selecting the highest-price modulation format; judging whether bandwidth and optical channel resources on the path are enough, if so, allocating spectrum resources, otherwise, returning to select the next shortest path; judging whether the spectrum resources meet constraint conditions or not, if yes, allocating computing power resources, and requesting successfully; if not, returning to reselect the path; and after success, updating the network transmission path weight. According to the invention, the network resource waste and blocking rate are effectively reduced, and the optical network energy consumption is reduced.

One or more embodiments of the invention provide an on-chip optical network node fault self-healing method and system, electronic equipment and a storage medium. The self-healing system applied to the node fault of the on-chip optical network comprises a data monitoring module, a fault detection module, a self-healing strategy determination module and a self-healing strategy operation module, and the method comprises the following steps: the data monitoring module obtains health state data of each node of the on-chip optical network; a fault detection module determines a fault node of the on-chip optical network according to the health state data; a self-healing strategy determination module determines a self-healing strategy corresponding to the on-chip optical network in response to the situation that the fault node of the optical network cannot be recovered; and the self-healing strategy operation module resets the node link of the on-chip optical network according to the self-healing strategy. According to the technical scheme, the reliability and flexibility of the network can be effectively improved.

Methods and systems are described herein for monitoring fault events at a fiber optical network. In particular, a system may receive, from components of an optical network, corresponding component data structures comprising optical measurements. The system may extract, from a component data structure, a set of component metrics for light transmission signals being transmitted or received via fiber optic transmission lines at a corresponding component and input the component data structure into a first machine learning model to obtain an indication of an occurrence of an event at one or more components. The system may generate a prompt for input into a second machine learning model configured to identify corrective actions for addressing any events within optical networks to obtain one or more corrective actions for addressing the occurrence of the event.

The invention discloses a smart campus Internet of Things multi-service collaborative scheduling control system based on an all-optical network, and relates to the technical field of Internet of Things, and the system comprises an Internet of Things digital platform which is in communication connection with the following modules: an all-optical network infrastructure module which is used for constructing an optical fiber backbone network in a campus, and each subsystem in the campus is accessed. The reliability and stability of the campus Internet of Things are enhanced by constructing all-optical network infrastructure, the subsystems are directly connected through optical fibers by adopting the passive optical network technology, and the use of active equipment is reduced, so that the equipment failure rate and the maintenance cost are reduced, optical wavelength resources are dynamically allocated by utilizing a software defined network controller, and the reliability and the stability of the campus Internet of Things are improved. The transmission path is adjusted according to the service priority, efficient operation of key services is ensured, network stability is improved, high speed and safety of data transmission are guaranteed, and solid network support is provided for various intelligent applications in the campus.

The invention discloses an optical network dynamic resource allocation method fused with an AI large model, which relates to the technical field of real-time scheduling of network resources, and comprises the following steps: constructing a service prediction model based on terminal behavior characteristics, calculating bandwidth sensitivity Bs and burst probability Pt, generating priority weight Wp, and improving burst service scheduling response; the T-CONT allocation rate and period are adjusted in a self-adaptive mode through a resource allocation efficiency function Ef and a buffer area demand index Bh, and priority scheduling of key services is guaranteed; the scheduling pressure is judged by introducing double thresholds of a signaling overhead index So and a network congestion degree Oc, AI reestimation and resource reallocation are triggered when abnormity occurs, and meanwhile, a bandwidth recovery parameter Br is recorded to optimize a subsequent strategy, so that minute-level intelligent scheduling and resource utilization maximization are realized.

The invention relates to an optical network topology dynamic adjustment method and system, computer equipment, a medium and a product. The method comprises the following steps: acquiring a computing resource association degree parameter according to equipment resource allocation information, acquiring a data transmission delay parameter according to global topology information of a network topology structure, and transmitting the data transmission delay parameter to a computing node under the condition that communication activity data generated by computing equipment of each computing node in a target iteration process passes verification, acquiring a communication traffic matrix according to the communication activity data, acquiring actual communication traffic according to the communication traffic matrix and the global topological information, acquiring a network load balancing parameter according to the actual communication traffic, and acquiring an evaluation function value based on a computing resource association degree parameter, a data transmission delay parameter and the network load balancing parameter; and according to the evaluation function values corresponding to all the network topology structures, determining a target network topology structure, and adjusting the optical connection path to realize optical network topology adjustment. By adopting the method, the network performance can be improved.

The invention discloses an optical network mutual backup video data encryption method and system based on a distributed system, and belongs to the field of data encryption. The method comprises the following steps: generating a node trust evaluation value by acquiring optical network topology data including link state parameters and edge node dynamic load parameters; and adopting a distributed consensus protocol to screen edge nodes meeting the dynamic load fluctuation range and the trust evaluation value threshold as encrypted cooperative nodes. And generating a master key segmentation factor based on the node trust value, splitting the master key into sub-key fragments, partitioning optical network mutual backup video data, and binding and encrypting the partitioned optical network mutual backup video data with the sub-keys to form mutual backup encrypted data blocks, thereby realizing redundant storage of heterogeneous nodes across physical locations. According to the method, the initial encryption path is constructed according to the link state parameters, the transmission priority is dynamically disturbed by using the chaotic mapping sequence, the target encryption path adaptive to the storage requirement is generated, and finally the encrypted data blocks are distributed to the heterogeneous nodes through the path, so that the encryption efficiency and the data redundancy storage reliability can be improved.

The invention discloses a hybrid node optical network-oriented service deployment method and device and a storage medium, and belongs to the technical field of hybrid node optical networks, and the method comprises the following steps: constructing a service deployment task model according to a WDM-MG hybrid node optical network, the service deployment task model takes the minimum optical channel establishment cost and the maximum bandwidth utilization rate as objective functions; different routing strategies and granularity switching strategies are constructed, the routing strategies comprise a wavelength index minimum strategy and a wavelength route minimum strategy, and the granularity switching strategies comprise a fixed granularity transmission strategy and a dynamic granularity transmission strategy; according to the method, different strategy combinations are constructed through the routing strategy and the granularity switching strategy, the target function is solved by using the different strategy combinations to obtain a plurality of service deployment schemes, and the scheme meeting the target is taken as the final service deployment scheme, so that high-efficiency and low-cost hybrid node optical network service deployment can be realized.

The present application relates to the technical field of network management and relates to an all-optical networking device control method, system and apparatus, and a communication device, a storage medium and a computer program product. The method comprises: in response to determining, on the basis of a first release message of a target device and a second release message of a master device, that the target device satisfies a preset legitimacy condition, determining location information of the target device in the network hierarchy of all-optical networking, wherein the first release message is acquired on the basis of a sub-level interface in a communication bus, and the second release message is acquired on the basis of a master-level interface in the communication bus; and on the basis of the communication bus and the location information of the target device in the network hierarchy of all-optical networking, sending a target control policy to the target device.

The present application relates to a first optical network node (400, 700, 800) that comprises: a first optical add-drop multiplexer, OADM (410) coupled to a first optical fibre (401); a transceiver (420) comprising a receiver (422) and a transmitter (424); and an optical configuration unit (430) 5 coupled between the transceiver (420) and the first OADM (410), wherein the optical configuration unit (430) is operable to selectively couple the receiver (422) to the first OADM (410) so as to receive a first optical signal dropped from the first optical fibre (401) or to selectively couple the transmitter (424) to the first OADM (410) so as to add a second optical signal to the first optical fibre (401).

The inventive system and method of the present invention helps improve transient resiliency of optical network operation by creating one or more optical channel extensions in the network, based on one or more optical data channels. In certain example embodiments, a given provisioned path node may be configured for example to, in addition to expressing and / or dropping a corresponding provisioned optical data channel, also selectively express the provisioned optical data channel through one or more egresses of the provisioned path node that is / are not otherwise employed to establish the provisioned optical data channel path. The presence of such optical channel extension(s) in the optical network can for example serve, in a practical, cost-effective manner, to improve the transient resiliency of one or more downstream links in the network along which one or more of such optical channel extension(s) communicate.

The invention discloses a hot patch management method in a passive optical network system, a storage medium and an electronic device, in a Linux system, a patch management process running in a user mode and a patch management unit running in a kernel mode cooperatively execute, and the method comprises the steps that after the patch management process completes loading of a patch pack, the patch pack is loaded in the user mode; acquiring a patch function address and an original function address in the patch pack to obtain a corresponding relation, and configuring the corresponding relation to a patch management unit; when the original function is called, the original function determines to execute the original function logic or jump to the address indicated by the hook parameter by judging the value of the hook parameter; and the patch management unit registers a corresponding probe for each patch function according to the corresponding relationship so as to trigger a processing function of the probe to execute an operation of modifying the value of the hook parameter into a corresponding patch function address before the original function is executed, so that an execution process is skipped to the patch function when the original function is called, and the original function is called. And managing the function-level hotfix of the kernel mode and the user mode in the same framework.

The invention provides a signal processing device and an optical network, relates to the field of optical communication, and can reduce the transmission loss of the optical network. The signal processing device comprises a control circuit and a first optical distributor. The first optical distributor comprises a public port and a plurality of branch ports; wherein the common port of the first optical distributor is used for connecting a first optical line terminal, the first branch port of the plurality of branch ports of the first optical distributor is used for connecting a first optical network unit, and the second branch port of the plurality of branch ports of the first optical distributor is used for connecting a second optical network unit. The control circuit sends a first control signal to the first optical distributor so as to control the first optical distributor to communicate the public port with the first branch port; and the control circuit sends a second control signal to the first optical distributor so as to control the first optical distributor to communicate the public port with the second branch port. The embodiment of the invention is applied to the field of optical communication.

The invention relates to the technical field of intelligent optimization, in particular to a network anti-fiber-breakage protection planning method based on offline learning and improved MCTS, and the method comprises the steps: solving a preset multi-target optimization model of network anti-fiber-breakage protection planning through employing a preset multi-mode multi-target optimization algorithm, obtaining at least one optimal standby path corresponding to each service; learning a topological structure and link weight information of each optimal standby path; and when a link fault exists, dynamically searching a target recovery path of the current damaged service according to the topological structure and link weight information of at least one optimal standby path corresponding to the current damaged service in all services based on a preset improved Monte Carlo tree search algorithm, and outputting the target recovery path. Therefore, the problems of poor timeliness and low service recovery rate in the existing optical network recovery technology are solved, and the performance and efficiency of network fiber breakage resistance protection planning are effectively improved by comprehensively optimizing the shortest recovery time and the maximum service recovery rate.

The invention relates to the technical field of communication, and discloses an optical power monitoring and fault testing linkage quick response method and system, and the method comprises the steps: receiving optical power monitoring data of an optical power monitoring service, and generating an optical power change track point sequence; establishing a three-layer anchor point network structure according to the track point sequence, and generating a decision link state mapping matrix based on the three-layer anchor point network structure; receiving OTDR test service feedback information, generating a composite time sequence identifier, and executing association matching verification with the decision link state mapping matrix to obtain qualified feedback information; constructing a time sequence reconstruction buffer area based on the qualified feedback information, executing switching synchronous control, receiving a switching completion signal of the OLP switching service, calculating response track characteristics based on the switching completion signal, and executing adaptive decision parameter adjustment; according to the invention, through spatialization state management and intelligent time sequence control, the response efficiency and coordination precision of distributed optical network fault processing are significantly improved.

Multi-chip electro-photonic networks for interconnecting multiple circuit packages via photonic channels. Examples of a computing system include a first circuit package, a second circuit package, and one or more inter-chip bidirectional photonic channels interconnecting the first and second circuit packages. The first circuit package can include one or more memory nodes. The second circuit package can include multiple compute nodes and intra-chip bidirectional photonic channels interconnecting the compute nodes.

The invention discloses a distributed MIMO (Multiple Input Multiple Output) integrated system and method based on a reconfigurable notch chaotic optoelectronic oscillator, belongs to the field of microwave photons, and solves the problems of spectrum resource conflict, difficulty in multi-node synchronization, discrete inductance functions and the like. According to the system, a plurality of independent chaotic OEOs are combined with an optical frequency comb to drive an FIR filtering effect, MIMO chaotic signals with reconfigurable notch frequency points and quantity are generated, and dynamic allocation of spectrum resources is realized. The notch frequency band is used as a communication channel embedded modulation signal, and supports multi-spectrum sharing with 2.4 G, 5G, Wi-Fi and the like; a non-notch frequency band is reserved as a radar signal, and the range resolution is improved by using the broadband characteristic of the chaotic waveform. The star topology optical network expands the coverage area of a distributed system, and a centralized processing architecture reduces the complexity of multi-node collaboration. The invention provides an integrated solution of high-precision environment perception and high-reliability communication for smart cities, Internet of Vehicles and the like, and is suitable for dense urban areas with resource shortage and dynamic multi-service environments.

The embodiment of the invention provides a device parameter optimization method, optical network equipment and a medium. The method comprises the following steps: firstly, acquiring first data sent by opposite-end equipment; then, obtaining second data obtained after the first data is processed by each physical layer device; then, a signal quality reference index related to each device is determined according to the second data. Then, acquiring historical configuration parameters of each device from a historical parameter configuration library, and determining a signal quality prediction index related to each device based on the historical configuration parameters; and determining a first target configuration parameter related to each device according to the signal quality reference index and the signal quality prediction index, and performing parameter optimization on each device according to the first target configuration parameter. According to the embodiment of the invention, the physical layer device parameters are dynamically optimized, the limitation of static configuration is broken through, and the stability and transmission efficiency of the PON system are improved.

The invention discloses a high-capacity elastic optical network resource allocation method and device, equipment and a medium, and the method comprises the steps: carrying out the evaluation and preferential selection of a predetermined candidate path library according to a received service request, and determining a candidate spectrum block set of a main transmission path; performing multi-dimensional adaptation degree evaluation on the candidate frequency spectrum block set, and determining a multi-dimensional frequency spectrum adaptation degree score of each candidate block; and determining a finally allocated target frequency spectrum block according to the multi-dimensional frequency spectrum adaptation degree score of each candidate block. According to the scheme, spectrum resources in the flexible grid can be effectively managed and allocated, generation of new spectrum fragments is reduced, and the network bearing capacity and flexibility are improved.

The invention relates to a message processing method and device of an optical network, communication equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: receiving a wireless local area network management and control interface message from optical network master equipment; determining a processing priority corresponding to the wireless local area network management and control interface message according to the message type information of the wireless local area network management and control interface message; distributing the wireless local area network management and control interface message to a message processing queue corresponding to the processing priority; and processing the wireless local area network management and control interface messages in each message processing queue in sequence according to the processing priority sequence corresponding to each message processing queue. By adopting the method, the overall stability of the optical network can be improved.

A method to manage a network through a persona-based user experience. The method includes exposing a first user interface consistent with a first technology expertise to a first user, receiving, as input from the first user via the first user interface, first information sufficient to complete a first task of a job that relies on both the first technology expertise and on a second technology expertise, wherein the first user interface includes a first image representative of the first task, in response to detecting that the first task is complete, exposing a second user interface consistent with the second technology expertise to a second user, and receiving, via the second user interface, as input from the second user, second information sufficient to complete a second task of the job, wherein the second user interface includes a second image representative of the second task.

The invention relates to an optical fiber link fault monitoring system in an all-optical network environment, which is applied to the technical field of telecommunication transmission. Sensing optical fibers, steel wire ropes, force measuring pieces and temperature and humidity sensors are synchronously arranged on an underground optical fiber link laying area, and the force measuring pieces and the temperature and humidity sensors are distributed at intervals; the steel wire rope can transmit external force in a laying area to the force measuring piece, so that pressure data changes, the temperature and humidity sensor plays a multi-point monitoring role in the environment in the laying area, and the optical power change of the sensing optical fiber can reflect whether the transmission loss of optical signals is increased or not. Therefore, whether the sensing optical fiber is affected by external force or the environment is judged, the optical power change of the sensing optical fiber, the pressure data of the force measuring piece and the environment monitoring data are integrated, the comprehensive monitoring and analysis process of potential fault factors of the optical fiber link laying area is achieved, and according to the degree of the analysis result, the potential fault factors of the optical fiber link laying area are analyzed. And early warning of different degrees is carried out on an external monitoring terminal.

The invention provides an optical network transmission quality prediction method based on multi-scale decomposition heterogeneous fusion, and relates to the technical field of optical communication network intelligent monitoring, and the method comprises the steps: taking an STL seasonal component, a first group of intrinsic mode functions and a second group of intrinsic mode functions of original QoT time series data as homologous input data, inputting the homologous input data into a heterogeneous fusion prediction model, and carrying out the prediction of the transmission quality of an optical network; after a TCN branch and an Informer branch extract a local feature tensor and a global feature tensor in parallel, tensor splicing is executed through a feature splicing layer, a fusion feature tensor is output, and a full-connection regression layer executes weighted mapping processing on the fusion feature tensor and outputs a transmission quality predicted value. The technical problems that an existing QoT prediction method is high in calculation complexity and difficult in long-range dependence modeling are solved. Local details and global semantic features are fused through a parallel structure, and feature distillation and residual connection optimization are combined, so that the accuracy and calculation efficiency of QoT prediction are remarkably improved.

Embodiments of the present disclosure provide a passive optical network (PON) coexistence method and apparatus. The method comprises: at a same moment, controlling one of a 50G PON downlink signal and an EPON & 10G EPON uplink optical signal to be transmitted in a PON optical path, wherein the 50G PON downlink signal comprises a 50G PON downlink optical signal and / or a 50G PON downlink optical reflection signal, and the EPON & 10G EPON uplink optical signal comprises an EPON uplink optical signal and / or a 10G EPON uplink optical signal.

The invention discloses an autonomous management method for an optical network, and the method comprises the steps: collecting the physical layer state data of an optical channel through a plurality of sensing nodes in an optical transmission system; synchronizing the physical layer state data to a digital twin, and constructing and updating virtual mapping corresponding to the physical optical transmission system; in the digital twin, the transmission performance of the optical channel is evaluated and the future state of the optical channel is predicted based on the physical layer state data; according to the autonomous management method and system of the optical network provided by the embodiment of the invention, the operation and maintenance efficiency can be effectively improved by constructing an intelligent network management closed loop, and the manual intervention demand is reduced. The system has a prospective risk assessment capability, can avoid potential faults in advance, and significantly enhances the reliability of network operation. Meanwhile, the resource utilization efficiency is continuously improved through an autonomous optimization mechanism, and a powerful guarantee is provided for long-term stable operation of the optical network.

The invention discloses a dumb resource management system automatic test method, system, device, medium and product, and belongs to the technical field of optical network communication test.The method comprises the steps that configuration information of passive dumb resources is obtained according to a passive dumb resource management system, and a relation graph G = (V, E) of the passive dumb resources is constructed; based on a predefined state machine model, controlling a test process to be automatically switched among a plurality of preset states so as to execute a full-process test from passive dummy resource data preparation to optical path verification; wherein after at least one non-terminated preset state is experienced in the test process, automatic verification is carried out based on the relation graph, and an automatic verification result is used as a trigger condition of state transition of the state machine model and a judgment basis of a whole-process test result. According to the invention, efficient, comprehensive and accurate automatic testing of the optical network passive dumb resource management system with extremely complex service logic is realized.