647 results about "Optical networking" patented technology

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.

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 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 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 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.

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.

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.

The invention provides a system, a communication device, an optical module, a method and an optical network, which are used for providing a channel-level control scheme for a power consumption mode of the optical module and are beneficial to improving the fine degree of power consumption control of the optical module by a host. Therefore, the host can configure the power consumption mode of the optical module into the power consumption mode which meets the network flow requirement and has the lowest power consumption, and the overall power consumption of the system is reduced.

The invention relates to a virtual network mapping method based on double-agent reinforcement learning in a space division multiplexing elastic optical network, belongs to the technical field of communication, and aims to solve the problems of multidimensional resource allocation complexity, fiber core crosstalk and spectrum fragmentation in the space division multiplexing elastic optical network. According to the technical scheme, collaborative optimization mapping is carried out on virtual network requests by setting a link fiber core mapping agent and a frequency spectrum mapping agent, and the collaborative optimization mapping comprises the steps of initializing an underlying optical network topology and a virtual network topology, sorting virtual network sets according to the total bandwidth of the requests, embedding virtual links in a descending order, and executing physical node embedding and path searching. And the intelligent agent selects a link fiber core and spectrum allocation based on the network state feature matrix, and a model is trained through a reward mechanism to realize efficient resource matching. The technical effects are that the real-time performance and efficiency of virtual network mapping are obviously improved, the service blocking rate is reduced, the spectrum resource utilization rate is optimized, and the overall load capacity of the network is enhanced.

The invention provides a network topology relation graph dynamic generation method, which belongs to the technical field of network topology, and comprises the following steps: starting an improved Tarjan strong connectivity component algorithm in each subnet partition to carry out loop detection, executing distributed loop verification on cross-subnet boundary nodes, collecting ARP table entries, routing table entries, OpenFlow flow tables and virtualization platform interface data, and sending the ARP table entries, the routing table entries, the OpenFlow flow tables and the virtualization platform interface data to each subnet partition; the method comprises the following steps: performing power spectrum analysis on an optical power monitoring point on optical network equipment to identify a wavelength channel occupancy state, reconstructing a wavelength routing path of a DWDM system, and performing two-stage submission on topological data acquired by distributed detection nodes by adopting a causal consistency protocol to synchronously generate a global unified network topological relation graph; the technical problems that the incremental updating efficiency is low and the cross-layer mapping relation is difficult to reconstruct in real time when the network topology dynamically changes are solved.

The invention relates to the technical field of optical network transmission, in particular to a twenty-five gigabit symmetric passive optical network transmission quality improvement method and a related device. The method comprises the steps that PCB routing layout optimization is conducted on an LD + / LD-differential signal line in a transmission link, impedance control over the differential signal line is achieved by adjusting the wiring gap and the wiring width of the LD + / LD-differential signal line and the integrity of a reference layer area, the consistency difference in PCB production is improved, and loss and interference in the signal transmission process are reduced. The PCB layout parameters of the LD + / LD-differential signal line are specifically optimized, the wiring gap is adjusted from 11.49 mi of a reference golden finger bonding pad to 5.75 mi of a reference chip BGA bonding pad, the wiring width is reduced from 20 mi to 10 mi, the integrity of a reference layer area is synchronously optimized, the differential impedance is accurately controlled from original 30 ohms to 60 ohms, and the reliability of the circuit is improved. And the parasitic parameter influence in signal transmission is effectively suppressed.

The invention provides a data forwarding method based on a vehicle-mounted passive optical network and a related device, and relates to the technical field of vehicle communication. In the data forwarding method, the first ONU gateway aggregates and packages the received multiple frames of messages into the same uplink GEM frame, so that the multiple frames of messages share the same GEM frame header, the frame header overhead in the low-speed data transmission process is effectively reduced, and the bandwidth utilization rate of the vehicle-mounted PON network is improved. Meanwhile, message grouping, uplink GEM frame packaging and uplink burst frame coding are directly completed through the first ONU gateway, the uplink burst frame is sent to the OLT, time delay and system resource consumption are reduced, the high real-time requirement of low-speed data (such as a sensor and a control signaling) in a vehicle-mounted scene is met, and therefore efficient and low-delay bearing of the low-speed data on a vehicle-mounted PON network is achieved.

Optical add-drop multiplexers (OADMs) connect two or more network terminals in an optical network to perform wavelength division multiplexing. If a channel in an optical connection between an OADM and a terminal is interrupted for any reason such that the signal in the channel drops, transient effects such as spectral hole burning may occur which impacts neighboring channels. One approach to avoiding such transient effects in channel drop scenarios includes filling in the spectral hole so that neighboring channels are transmitted without any degradation. An OADM includes a broad spectral source, such as an amplified spontaneous emission (ASE) source, and an optical switch that replaces dropped channels with ASE. By providing an automatic mechanism for spectrum filling within the OADM itself in this way, high-capacity optical transmission networks are stable against transient effects even in the presence of channel drops or fiber cuts.

Embodiments of the present application provide an optical device, a board, and an optical network. The optical device comprises optical modules, and can effectively reduce the power consumption of the optical modules and reduce the heat-dissipation difficulty of the optical modules. The optical device comprises a forwarding module, N processing modules, and M optical modules, where N and M are each any integer greater than 1. The forwarding module is connected to each of the N processing modules. The N processing modules comprise a target processing module, and the M optical modules comprise a target optical module. The target optical module comprises an optical modulator, and the optical modulator is connected to the target processing module via a first physical link, or, the target optical module comprises an optical detector, and the optical detector is connected to the target processing module via a second physical link.

The invention provides a passive optical network time-sensitive service transmission method and system, and the method comprises the steps: distributing a logic link identifier to at least one optical network unit, receiving the number of bytes to be distributed in a buffer region of each optical network unit, and building a polling table record with communication round-trip time; sending authorization information to each optical network unit; according to the communication round-trip time, determining a sending sequence of data to be forwarded uploaded by the optical network unit to the queuing scheduling module in each forwarding period; receiving data packets which are forwarded by each optical network unit through a queuing scheduling module and are obtained by packaging data to be forwarded and control information, receiving a plurality of data packets forwarded by each optical network unit by the queuing scheduling module, and storing the data packets in a transmission queue of a corresponding ordinal number according to the delay time slot number of the data packets, forwarding to the optical terminal equipment one by one according to ordinal numbers in a forwarding period; and updating the polling table according to the remaining byte number of the buffer area of the corresponding optical network unit recorded in the control information and the actual communication round-trip time.

The invention relates to a smart building multi-network integration novel all-optical network system and an operation method thereof, which adopt the technologies of photoelectric conversion, radio frequency amplification, duplex, POE and the like, and are combined with a GPON network technology to construct a GPON network and wireless network integration novel radio frequency optical fiber remote system and application. According to the system disclosed by the invention, wireless radio frequency signal coverage in the building is solved, and networking requirements of intelligent equipment such as video monitoring, wireless WIFI, an access control system, an Internet of Things gateway and the like in the building can be simultaneously met in combination with the GPON network, so that the hybrid networking capability of the intelligent Internet of Things system of the intelligent building is expanded, and the intelligent building intelligent Internet of Things system is improved. The same design, same construction and same maintenance of a plurality of indoor networks of a building are promoted, and the intelligent connection service bearing capacity of a traditional wireless radio frequency optical fiber remote system is improved.

The invention belongs to the technical field of deterministic transmission, and particularly relates to a deterministic transmission method for a time division multiplexing passive optical network in computing power-power cooperative communication network networking, which comprises the following steps of: acquiring and identifying all time delay sensitive flows accessed to a TDM-PON (Time Division Multiplexing-Passive Optical Network), and pre-classifying periodic flows; clustering the similar periodic flow to form a shaping flow, and distributing a shaping window; calculating the least common multiple of all shaping flow periods as a super period; in a super cycle, an integer linear programming model is adopted to complete initial optimization time window distribution; carrying out secondary sorting and conflict elimination on the overlapped transmission windows, and scheduling the shaping stream by using the transmission windows after secondary optimization; the non-periodic flow is scheduled by using the idle time slot in the over-period; and continuously multiplexing a super-cycle scheduling scheme to complete a deterministic transmission process. According to the invention, high scheduling success rate, millisecond-level deterministic time delay and microsecond-level jitter control of large-scale periodic services are realized.

A system for activating multi-rate optical network units (ONUs) includes an optical network having an optical line terminal (OLT) optically coupled to a plurality of ONUs, including one or more multi-rate ONUs configured to support multiple upstream rates. During discovery when other ONUs are permitted to transmit in the same quiet window, a multi-rate ONU that supports a higher rate is instead configured to send a discovery response at a sufficiently low rate so as not to require training of an equalizer, thereby allowing for a short preamble for the discovery response. Thereafter, during a quiet window for ranging when only the multi-rate ONU will be transmitting to prevent data collisions, the multi-rate ONU is transitioned to a higher rate and transmits a message with a sufficiently long preamble to train an equalizer at the OLT.

The invention relates to an intelligent calculation center optical network optical path survivability-oriented air-ground cooperative unmanned aerial vehicle distributed optimization deployment method and system, and belongs to the technical field of optical communication network protection. The invention aims to solve the technical problems of long switching time delay, limited coverage and poor stability of a traditional single ground or air protection mechanism. According to the technical scheme, an air-ground cooperative protection architecture is constructed, and firstly, an integer linear programming model with the aim of minimizing the total cost of a system is established to carry out precise deployment optimization of unmanned aerial vehicle nodes; in order to improve the solving efficiency, a spectral clustering and K-means clustering-based heuristic algorithm is designed to realize rapid intelligent division of the unmanned aerial vehicle service domain; the deployed unmanned aerial vehicle cluster adopts a master-slave architecture and has a failover mechanism, and a temporary relay network can be quickly established when a ground optical path fails. According to the invention, the survivability and fault recovery efficiency of the optical network are effectively improved, and good balance between deployment cost and protection performance is realized.