5816results about "Multiplex system selection arrangements" patented technology

The invention provides a key information extraction method and system based on a multi-modal model. According to the scheme, building structure stress and optical cable topological data are fused, structural deformation and optical signal attenuation characteristics are associated through a multi-modal model, and the node failure probability is predicted. Screening nodes with high failure risk, planning an isolated standby optical cable path, synchronizing main and standby signals by adopting a space diversity technology, and generating a redundant signal set through cross-modal alignment; the redundant data is divided into fragments according to geographic grids, and a multi-modal hash identifier is generated by combining the wavelength of a far-end node optical signal and a regional compression resistance parameter. And when the nodes fail, matching data fragments of the high compression resistance area according to the Hash identifier, and reconstructing key information by using a multi-path time-frequency complementary feature to realize network fault self-healing and intelligent redundancy recovery. According to the technical scheme provided by the invention, intelligentization and high efficiency of communication network failure prediction and redundancy recovery are realized, and the network stability and the service continuity are remarkably improved.

The invention relates to the technical field of resource scheduling control, and discloses a network resource hierarchical coordination method and system based on multiple agents. The method comprises the following steps: monitoring a network node load to obtain a resource state parameter; virtually constructing a resource pool and dividing a regulation domain; deploying an intelligent agent to construct a self-adaptive control system; extracting load characteristics to generate an analysis report; executing a double-layer adjustment strategy recording execution process; and analyzing the energy consumption data to optimize control strategy parameters. According to the application, the efficient utilization of network resources and energy consumption optimization can be realized while the performance of a computer network system is guaranteed.

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.

The invention discloses an optical cable routing anti-intrusion method and system, and the method comprises the following steps: laying a sensor network at key nodes along an optical cable, monitoring the data of a surrounding environment in real time, constructing an environment reference model, and integrating the model to a GIS platform, thereby achieving the risk assessment of different regions. Different monitoring frequencies and sensitivities are set for a high-risk area and a low-risk area according to an evaluation result, an anomaly detection module compares real-time signal data with an environment reference model, high-credibility abnormal signals are screened out through self-adaptive threshold adjustment, and when a physical barrier module detects abnormal external force, the physical barrier module sends out the abnormal external force. Triggering the area and the adjacent area to enter a high-frequency monitoring mode to form a dense monitoring area, positioning an intrusion position through a sensor network and a GIS platform, generating a path prediction model, and dynamically adjusting the frequency, sensitivity and alarm threshold value of the monitoring area based on data analysis and GIS geographic information. The adaptability and the resource configuration efficiency of the system in different environments are improved.

The invention discloses an optical transmission cross-domain service real-time configuration method, an optical transmission cross-domain service real-time configuration device and a computer program product, and aims to realize unified planning and dynamic output of cross-domain service end-to-end service quality targets by constructing a multi-domain quality strategy fusion model and integrating service quality strategies and resource states of different network domains. By collecting performance data of each domain in real time and combining with a time sequence analysis algorithm, the network performance degradation trend can be accurately identified; based on quality propagation path analysis of a cross-domain service topological relation graph, a quality degradation root can be quickly positioned, the influence range of the quality degradation root can be quantified, and the service quality stability of a key service in a resource limited scene is ensured; by establishing a cross-domain service quality mapping system, heterogeneous network performance parameters are mapped to end-to-end service quality indexes, and the cross-domain collaborative operation and maintenance efficiency is greatly improved. A continuous iterative optimization mechanism driven by reinforcement learning is adopted, adaptive adjustment of network resource allocation and a routing strategy is realized, and a cross-domain service quality dynamic optimization closed loop is formed.

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

Disclosed are systems, apparatuses, methods, and computer-readable media for high-fidelity event data for multi-cloud services. A method includes: storing first event information of a multi-cloud service in a cache, wherein the first event information is received from a first gateway controlled by the controller; storing second event information of the multi-cloud service in the cache, wherein the second event information is received from a first external service; mapping the second event information to the first event information to at least one identifier associated with the controller; and generating a first synthesized event information based on mapping the second event information to the first event information, the first synthesized event information including the at least one identifier, at least one event from the first event information, and at least one event from the second event information.

Disclosed are systems, apparatuses, methods, and computer-readable media for inventory monitoring in a multi-cloud network environment. A method includes receiving user input via a controller's interface, wherein the input includes first account information granting access to a first virtual private cloud and a second virtual private cloud, both hosted by a cloud service provider (CSP). The controller queries the first and second virtual private clouds using the respective account information and the CSP's APIs to identify resources, gathering them into an inventory, and maintains a mapping of tags to the resources, associating each tag with a specific security policy. The controller forwards a first subset of tag-resource mappings to a first security gateway in the first virtual private cloud, enabling automatic application of corresponding security policies upon instantiation of tagged resources.

The invention discloses a message forwarding processing method, device, equipment and system and a storage medium, and relates to the technical field of communication. The master ONU receives a first message sent by the slave ONU; under the condition of traffic direct connection between the slave ONU and the firewall equipment, a second message is sent to the firewall equipment, the second message is obtained by adding a port label and a first tunnel head to the first message, the port label indicates a port of the slave ONU, and the first tunnel head indicates the firewall equipment to send the second message to the master ONU; receiving a second message which is audited or filtered by the firewall equipment, acquiring the first message and the port label based on the second message, and acquiring a first processing strategy configured from the port of the ONU based on the port label; and processing and forwarding the first message according to the first processing strategy. According to the method, the first message which is transmitted by the slave ONU and forwarded by the firewall equipment can be processed according to the first processing strategy configured by the port of the slave ONU.

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

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 relates to the technical field of hydropower engineering, and discloses a single-core self-healing type looped network networking method and system, and the method comprises the steps: dividing a whole network into a plurality of sub looped networks; each sub-ring network operates independently; the light switch in each sub-ring network adopts an A / B end connection mode; reversely connecting the B end of the last measuring point to the A end of the initial measuring station by using an optical fiber to form a closed physical structure; configuring a protocol on the switch, and controlling a data flow path through the protocol; different sub-ring networks are connected through RJ45 ports, and a CAT5E shielded twisted pair or an Ethernet interface is used; when a certain node or link fails, the protocol automatically triggers a switching mechanism; the master station optical transceiver monitors the states of all nodes in real time and displays fault points through a network management interface. The system comprises a sub-ring network module, a control data flow module and a fault point display module. The problems that a traditional networking method of hydropower engineering is poor in reliability, and self-healing cannot be achieved after an intermediate node is disconnected are successfully solved.

The invention discloses an optical communication network route optimization method and system, particularly relates to the technical field of multi-domain optical network collaborative networking, and is used for solving the problem of path selection deviation caused by topology abstraction and simplification in an existing multi-domain optical network. Intra-domain topology compensation parameters representing potential path resource consumption in sub-domains are reversely generated by acquiring inter-domain topology abstract information of a cross-domain optical network, and a hidden link competition relationship shared by cross-domain optical paths is dynamically monitored in combination with real-time link resource data to generate a competition intensity index; evaluating a port resource consumption weight based on a compensation parameter and a competition intensity index, fusing a load state to generate an optimal port selection weight, and finally screening a global path through a weight priority and triggering an optical switching node instruction to establish a cross-domain optical path; dynamic collaborative optimization of resource consumption and competition conflicts in the multi-domain optical network is realized, the accuracy of cross-domain path selection and the global utilization rate of network resources are effectively improved, and the risks of redundancy jump and local link congestion are reduced.

An absorbent structure, including a sensor system, can sense and measure the level of wetness contained within the absorbent structure as well as sense and measure environmental conditions. The sensor system may include passive RFID sensors or tags, RFID readers, antenna, a tuning module, a processing module, a memory module and a wireless communication module. The absorbent structure may further include two or more sensors, with a first sensor placed in a first area most likely to first be exposed to liquid and a second sensor spaced apart from the first sensor in an area likely to be exposed to liquid only after the absorbent structure has become more saturated.

The invention belongs to the technical field of information communication, and discloses a twinborn technology-based intelligent substation optical fiber link 3D visualization method, which is characterized by comprising the following steps of 1, constructing an optical fiber path 3D visualization model, 2, carrying out twinborn simulation and intelligent auxiliary optical fiber alignment, and 3, carrying out twinborn simulation and intelligent auxiliary optical fiber alignment. And 3, constructing an optical fiber logic link intelligent identification and early warning system. The method has the beneficial technical effects that the efficiency is improved, errors are reduced, the safety management is enhanced, the fault response speed and accuracy are enhanced, the intelligent level of electric power capital construction is improved, the engineering safety is guaranteed, and the industrial technical progress is promoted.

The invention relates to the technical field of data transmission control, and discloses an intelligent routing optimization method and system in a high-speed optical network, and the method comprises the steps: obtaining the structure and performance information of a target area network, constructing a network simulation model, setting a network link target according to a to-be-executed network link task, and carrying out the execution of the network link target; the performance redundancy requirement of a network model is adjusted by predicting and analyzing external task interference and future task change, a network link target and the redundancy requirement are simulated based on the model, an initial network topology structure is obtained, and network link processing is executed; according to the method, task status data are continuously collected, the redundancy requirement is synchronously corrected according to the data, the initial topology is optimized, the real-time optimized synchronous network topology is obtained, and the problem that in the prior art, a static routing and topology optimization method often cannot cope with frequently-changing network requirements is solved.

The invention provides an optical module, an optoelectronic integrated semiconductor structure and an optical switching system. The optical module comprises: an electrical input / output interface; an optical input / output interface; the light emitting unit is used for converting an input electric signal received from the electric input / output interface into an output light signal; the optical receiving unit is used for converting an input optical signal received from the optical input / output interface into an output electric signal; and a control unit for controlling the light emitting unit to convert the input electrical signal to the output optical signal, and controlling the light receiving unit to convert the input optical signal to the output electrical signal. The input electrical signal and the output electrical signal are PCIe electrical signals.

The invention discloses a distributed computing system and a fault processing method for the distributed computing system, and relates to the technical field of computers. In the distributed computing system provided by the invention, the computing node group and the backup node are accessed to the switching equipment, so that when a management node of the distributed computing system detects that a fault occurs in the computing node group, the switching equipment can be configured to establish a data switching path between the backup node and the computing node group; therefore, the backup node can exchange data with the computing node group through the data exchange path so as to replace the faulty equipment in the computing node group to execute the computing task, and the fault processing cost is greatly reduced on the basis of maintaining the original performance of the system and the network topology.

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 discloses an optical cable topology visualization monitoring analysis system and method, and relates to the technical field of optical cable monitoring. According to the optical cable topology visual monitoring analysis system and method, the complex dependency relationship between optical cable network equipment is accurately captured by using the graph neural network, and the wavelength division multiplexing, OTDR test and optical power measurement technologies are fused, so that online monitoring without interrupting service communication is realized, the real-time performance and efficiency of monitoring are improved, the positioning precision of optical cable broken fibers can be improved, and the optical cable topology visual monitoring analysis system and method are suitable for popularization and application. Through new and old OTDR curve comparison and big data analysis, optical fiber aging and degradation trends are pre-judged in advance, accurate active operation and maintenance are realized, the probability of optical cable fault occurrence is reduced, the reliability and stability of a network are improved, and by cooperating with visual display of a complex power grid optical cable map, the method has the advantages of high accuracy and high reliability. The topological structure and the geographic position of the optical cable are visually displayed by fusing multiple levels, clear visual information is provided for operation and maintenance personnel, and management and decision making are facilitated.

The invention provides a computing device. The computing device comprises a PCB (Printed Circuit Board), a computing chip and one or more optical modules, the computing chip is arranged on the PCB and comprises one or more input and output high-speed interfaces. Each input / output high-speed interface has one or more input high-speed ports and one or more output high-speed ports. Each output high-speed port performs parallel-serial conversion on a parallel signal in the computing chip to output a first electric signal, and each input high-speed port performs serial-parallel conversion on a received second electric signal serving as a high-speed serial signal. The one or more optical modules are arranged on the PCB, and each port in the electric input and output interface of each optical module is electrically connected with the corresponding input or output high-speed port in the computing chip through wires in the PCB. Each optical module converts the received first electrical signal into a first optical signal and converts the received second optical signal into a second electrical signal.

Disclosed in the present invention are a quantum key distribution-based OTN encryption communication method and a system. The method comprises: applying to a quantum key distribution network for a session key, and establishing the association between the session key and a corresponding encryption policy; dividing the frame structure of any layer in an optical channel layer into an overhead area and a payload area; when a current sender OTN device supports adding information in the overhead area, adding in the overhead area a session key sequence number used for encrypting the present frame of a current port, using the session key to encrypt the payload area of the current frame on the basis of the encryption policy, and then sending the entire frame to a peer end OTN device; and when the current sender OTN device does not support adding information in the overhead area, using the session key to encrypt the payload area of the current frame on the basis of the encryption policy, then sending the frame to the peer end OTN device, and periodically sending a session key synchronization packet to the peer end OTN device. The present invention improves the reliability by using two key synchronization modes, i.e., a mode of supporting adding information in a frame and a mode of notifying by means of a management channel.

A redundancy link includes a first optical splitter and a second optical splitter. The first optical splitter includes (i) a first hub-side port that optically couples to a first optical line terminal, a first hub-side failover-mode port, (iii) a first plurality of node-side splitter-ports each optically coupled to the first hub-side port and the first hub-side failover-mode port, (iii) a first failover-mode port coupled to the first hub-side port. The second optical splitter includes (i) a second hub-side port that optically couples to a second optical line terminal, a second hub-side failover-mode port optically coupled to the first failover-mode port, (iii) a second plurality of node-side splitter-ports each optically coupled to the second hub-side port and the second hub-side failover-mode port, (iii) a second failover-mode port coupled to the second hub-side port.

The invention relates to the field of broadband alarm, in particular to a broadband user-based optical modem power failure and fiber break alarm real-time monitoring method, which comprises the following steps of: S1, monitoring and recording the online state, the light attenuation level, the flow information, the packet loss rate, the network delay and the log of an optical modem under OLT (Optical Line Terminal) equipment in real time; s2, automatically identifying an abnormal mode and a potential fault according to a model established by a machine learning algorithm and a deep learning algorithm; s3, automatically diagnosing problem reasons according to the collected data, and optimizing the knowledge base in combination with an expert system; s4, performing deep mining and analysis on historical fault data, and predicting a potential fault risk based on the historical data and a real-time monitoring result; and S5, continuously updating and optimizing a fault detection and diagnosis model through a self-learning algorithm model, and uniformly monitoring and managing all data acquisition, analysis and alarm modules. The fault detection accuracy and timeliness can be improved, and potential fault prediction and preventive maintenance are 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 embodiment of the invention provides a cutover event hierarchical judgment method and device based on a graph database, and the method comprises the steps: taking network elements, ports and channels as nodes, inputting the nodes into the graph database, and constructing a directed incidence relation between the nodes according to hierarchical routing data; according to a cutover object of the cutover event, searching a target hierarchy channel associated with the cutover object in a graph database; constructing a routing topological graph of the target level channel, carrying out shortest path search based on the routing topological graph, judging whether a line is interrupted or not and a minimum cutover event combination causing interruption, and obtaining a judgment result of the target level channel; for the target hierarchy channel with the cutover event conflict, upwards searching a corresponding top layer business channel in a graph database; and based on the punching judgment result of the target level channel, judging whether the line of the top layer service channel is interrupted and the minimum cutover event combination causing the interruption, and obtaining the punching judgment result of the top layer service channel.

The invention relates to the technical field of passive optical networks, in particular to an all-optical Internet of Things access terminal based on a PON network, the terminal carries a control system, and the system comprises a hardware interface dynamic adaptation module, a protocol feature recognition module, an optical wavelength offset control module, an optical transmission bandwidth distribution module and an optical signal compensation module. According to the invention, through dynamic linkage of physical layer parameters of the optical network and the serial interface, signal attenuation of the protocol conversion equipment is eliminated, the access compatibility of the industrial terminal is improved, a control instruction and a conventional data stream are accurately distinguished based on a multi-dimensional protocol feature analysis mechanism, and the risk of misjudgment is reduced; a silent time slot dynamic mapping mechanism realizes fast reconstruction of burst traffic bandwidth, breaks through the bottleneck of traditional bandwidth allocation response, suppresses multi-wavelength channel interference through cooperative adjustment of optical power and phase, maintains low-delay and high-reliability transmission characteristics, and optimizes the whole process to form a closed-loop control link from a physical layer to a transmission layer. And the real-time control requirement of the industrial internet of things is met.

Disclosed are systems, apparatuses, methods, and computer-readable media for machine learning of data path rules for gateway services. A method includes: receiving a command related to a configuration of a firewall of a gateway; obtaining a subset of rules from a collection of rules to apply to a second instance of the firewall that replaces a first instance of the firewall, wherein the collection of rules are expressly associated with the firewall of the gateway; loading the subset of rules and the second instance of the firewall; and when the first instance is available after loading the subset of rules, processing network traffic of the gateway based on the subset of rules

In the present disclosure a method and a system for generating an Optical Transport Network (OTN) DT network based on vertical federated learning are disclosed. The method includes: performing homomorphic encryption on a local fault root cause identifier to obtain an encrypted fault root cause identifier; receiving all encrypted alarm sample sequences corresponding to the encrypted fault root cause identifier; generating a single-domain training set according to the encrypted fault root cause identifier and the encrypted alarm sample sequences; training the local cross-domain fault root cause identification model according to the single-domain training set to obtain a model parameter update amount of the cross-domain fault root cause identification model; and reporting the model parameter update amount to the multi-domain orchestration system.