1018 results about "Path switching" patented technology

The invention discloses an intelligent substation communication link fault self-healing regulation and control method and system, and relates to the technical field of fault self-healing regulation and control, and the method comprises the following steps: constructing a link disturbance intensity sequence reflecting link quality fluctuation; performing trend fitting and mutation identification on the link disturbance intensity sequence based on a sliding window mechanism, and generating a link state transaction index; when the link state transaction index exceeds a first threshold value, identifying an affected key easy-to-disturb service set according to the service path topological data of the abnormal link; constructing a context-aware path migration cost model based on the key easy-to-disturb service set, and generating an optimal switching path sequence; and implementing hierarchical link regulation and control according to the path switching optimal sequence. According to the method, trend fitting and mutation detection are carried out by adopting an overlapped sliding window mechanism and a mutation scoring function, so that intermittent or hidden link degradation abnormity which is difficult to capture can be effectively identified, and a link state transaction index has higher judgment precision.

The invention relates to the technical field of order management, and discloses a supply chain-oriented intelligent order management method, which comprises the steps of obtaining corresponding multi-modal data through an order demand flow, a production equipment state, logistics sensor dynamic information and an inventory topological graph; analyzing relevance between orders and equipment based on a space-time diagram convolutional network, and generating a capacity allocation scheme; calculating a logistics path planning scheme, predicting a stock stockout risk and generating a replenishment suggestion; if the high-priority order exists, inserting a productivity plan and adjusting an equipment process chain; if resource conflicts occur, dynamically allocating resources; if the path risk value exceeds the threshold value, standby path switching is triggered; adjusting weighting parameters through an adaptive federation algorithm, generating a global strategy and issuing the global strategy to the client; the client dynamically adjusts local configuration and uploads execution effect data in real time; and if abnormity is detected, triggering global strategy regeneration and updating the model through federated learning increment. According to the invention, efficient management of supply chain orders can be realized.

The invention relates to an inter-switch multi-protocol conversion and dynamic routing optimization method and system. The method comprises the following steps: carrying out feature analysis processing on routing protocol messages collected by each switch in an interconnection structure, and extracting to obtain a protocol state parameter set comprising protocol type identifiers, path attribute fields and adjacent state information; performing structured semantic mapping on the path attribute field according to the protocol type identifier, and constructing to obtain a standardized path parameter model fusing multiple protocol structure features; and generating a dynamic routing control instruction set for guiding each switch to execute path switching according to a link connection relationship between the standardized path parameter model and the adjacent state information in combination with a path selection strategy associated with the protocol type identifier. By adopting the method, unified routing behavior management of the switch in a multi-protocol environment can be realized.

The invention discloses a load transfer path regulation and control method and system based on a maintenance topology rule base, and relates to the technical field, and the method comprises the following steps: constructing a graph model, obtaining a load node of a shutdown device in the graph model, and obtaining a load path switching node based on a connected component analysis method; correcting the graph model to obtain a power grid topological graph of load path switching nodes, and generating a load path switching scheme based on a shortest path algorithm; a pre-switching adjustment strategy is set, and a load transfer action instruction is generated and executed step by step based on a load path switching scheme; carrying out local control on load transfer path adjustment based on a load transfer action instruction and a distributed control technology; the optimal load switching path is identified through connected component analysis and the shortest path algorithm, and the load transfer path of the maintenance equipment is controlled and switched according to the load transfer action instruction in combination with the distributed control technology, so that the stability, the flexibility, the response speed and the regulation and control precision of load path regulation and control are improved.

An intention-driven low-orbit satellite network SRv6 routing management and control method comprises the following steps: step 1, receiving and analyzing a user service demand from an application layer, and generating a corresponding intention label according to a service type; step 2, collecting state information of a satellite network in real time, tracking and recording satellite node position change and link state conversion, and establishing a complete network state database; 3, calculating a routing path meeting the service quality requirement by adopting an improved breadth-first search algorithm; 4, monitoring the state change of the inter-satellite link in real time; step 5, continuously monitoring fault events in the network, immediately starting a pre-calculated standby path when a fault is detected, updating a corresponding SRv6SID list, and performing rapid path switching; and step 6, dynamically adjusting the network flow. The method not only can adapt to the dynamic characteristics of the low earth orbit satellite network, but also can effectively meet the differentiated service requirements, and has the rapid fault recovery and load balancing capability.

The invention relates to a multi-protocol intelligent terminal interaction method and system based on AI dynamic allocation, and the method comprises the steps: obtaining communication demand data, and generating sorting data; protocol stack self-adaptive scheduling and path switching are carried out in FPGA hardware; optimizing multi-protocol parallel transmission to obtain a low-delay data stream; constructing a load prediction model based on reinforcement learning and dynamically allocating resources; terminal interaction is carried out through cooperative adjustment of computing power and radio frequency power, so that the purposes of low-delay and high-energy-efficiency communication and complex environment adaptation of the intelligent terminal in a multi-protocol scene are achieved.

The invention relates to the technical field of resistance measurement, in particular to a constructional engineering electrical grounding resistance detection system which comprises a path monitoring module, a delay judgment module, a path switching module, an interval regulation and control module and a data correction module. According to the method, the voltage stability is judged by collecting the path node voltage change value and the timestamp and calculating the voltage difference, precision screening is completed in cooperation with path state information, the abnormal fluctuation recognition capability is improved, the delay value change trend is combined with a period difference value comparison mode, and path stability evaluation is assisted; the path switching behavior is combined with feedback response and relay state recognition, the accuracy of channel switching is improved, the sampling interval is dynamically regulated and controlled according to delay change, clearer response characteristics are obtained in combination with waveform displacement mapping operation, the accuracy of data alignment is enhanced, and the accuracy of channel switching is improved. The whole process realizes a closed-loop processing structure of path identification, delay judgment, switching confirmation and waveform correction, and effectively improves the response consistency and time precision of ground resistance measurement.

The invention provides a cross-platform network speed measurement and adaptive path switching method and device and a storage medium. The method comprises the following steps: receiving a target domain name and a multi-source DNS server list; extracting historical network quality data corresponding to the environment identifier and each candidate IP address, inputting the historical network quality data into a link quality prediction model to obtain a prediction score of each candidate IP address, and screening according to a preset threshold to obtain a target IP subset; performing active detection of limited times on each IP address in the target IP subset to obtain a detection index; calculating the comprehensive score of each IP address based on the prediction score and the detection index, determining the optimal IP address with the highest comprehensive score, and recording the DNS server address of the optimal IP address; and establishing a network connection path according to the optimal IP address, and providing a DNS server address of the optimal IP address for a service layer. According to the method and the device, the cross-platform maintenance cost can be reduced, the real-time performance and the performance overhead are considered, the path is dynamically optimized, and rapid connection switching is realized.

The invention discloses a low-delay self-adaptive audio transmission method, system and device and a storage medium, and relates to the technical field of audio, and the method comprises the steps: dynamically recognizing an optimal transmission path in wireless dual bands based on an intelligent band detection and self-adaptive channel selection mechanism; decomposing the target audio data through a hierarchical coding algorithm, and executing self-adaptive adjustment of a differential transmission strategy and a quantization parameter; the dual-band performance is monitored in real time based on a load balancing algorithm, the decomposed transmission tasks are dynamically allocated, and path switching is triggered when it is monitored that the transmission quality of the current band is abnormal; the future buffer requirement is predicted based on a predictive buffer algorithm, the size of a buffer area is dynamically adjusted according to the actual playing condition and the network state change so as to ensure the playing continuity and minimize the delay, the technical bottleneck of traditional single-frequency wireless audio transmission is broken through, an effective frequency band coordination mechanism is realized, resource waste or transmission conflicts are avoided, and the transmission efficiency is improved. And the double-frequency advantage is fully exerted.

The invention provides a distribution agent ad hoc network method and system based on dynamic node collaboration, and the method comprises the steps: firstly obtaining a network state data set of all distribution nodes in a target network region, including real-time communication load, link stability and resource occupation characteristics, generating dynamic collaboration topology information based on the network state data set; comprising a node cooperation relation topological graph and a communication path weight table, a distribution agent strategy set is generated according to dynamic cooperation topological information, path optimization processing is carried out on a target distribution task according to an initial path distribution strategy, a dynamic load adjustment rule and a path switching trigger condition, and an optimized distribution path set is obtained; and deploying to the corresponding distribution node to execute dynamic cooperative distribution, and updating the network state data set according to the distribution real-time feedback data, so that the distribution efficiency and reliability can be improved.

The invention provides a low-noise amplification circuit and a radio frequency power amplifier module, and the low-noise amplification circuit comprises an input matching circuit, a cascode amplification structure, an output matching circuit and a path switching assembly. The input matching circuit comprises a first inductor, a second inductor, a first capacitor and a third inductor; the output matching circuit comprises a fourth inductor, a second capacitor, a fifth inductor, a third capacitor and a fourth capacitor; and the access switching assembly is used for selecting channels of the low-noise amplification circuit, so that a radio frequency signal accessed by the first inductor is directly output or output after being amplified by the cascode amplification structure. According to the low-noise amplification circuit, on the premise that the noise coefficient is reduced and the gain is matched, the order of an input and output matching network does not need to be increased, and correspondingly, the cost and the area of the low-noise amplification circuit are not increased.

According to some embodiments, a method is performed by a source network node for performing a sidelink path switch. The method comprises determining to switch a remote wireless device to sidelink communication with a target relay wireless device. The target relay wireless device is in an idle or inactive state and the target relay wireless device is served by a target network node different from the source network node. The method further comprises transmitting an indication to the target network node of the path switch involving the target relay wireless device.

The invention discloses an L-shaped conveyor belt path dynamic planning and congestion prediction system, which relates to the technical field of automatic control, and constructs a conveying path node diagram by collecting material weight, speed and spacing information of each node on a conveying path, and calculates a congestion index of each path section; the method comprises the following steps: combining a light-mass material jumping sensitivity model, identifying a high-risk node and marking the high-risk node as a congestion prediction area, constructing a dynamic optimization model based on path risk distribution and a material flow direction, generating and evaluating a plurality of path adjustment strategies, executing an optimal strategy according to priority, and realizing path speed adjustment, standby path switching and feeding rhythm control; through a feedback mechanism, a strategy effect is evaluated in real time, a path state is updated, operation data is synchronized to a historical database, a learnable conveying operation file is formed, the stability and the intelligent response capability of a conveying system can be effectively improved, and the method is suitable for high-speed sorting and automatic packaging scenes.

The invention discloses an efficient photovoltaic inverter communication monitoring conversion method and system, and relates to the technical field of communication monitoring services. The efficient photovoltaic inverter communication monitoring conversion method comprises the following steps: S1, collecting and preprocessing link structure data and field feature data, and constructing a standardized communication transmission data set; s2, analyzing the transmission delay of each level of communication node, and dynamically adjusting a data packaging structure and a main / standby channel forwarding strategy; s3, evaluating the structure mismatching risk of the main channel and the redundant channel, and triggering a path switching and structure recombination process; and S4, integrating delay and mismatch risk analysis results, and dynamically optimizing a link rhythm distribution structure. The problems that delay and distortion are easily introduced due to the fact that inverter data transmission is packaged and decoded for multiple times in different levels of gateways, and an existing system lacks an end-to-end link performance collaborative awareness and optimization control mechanism from the edge side to a cloud platform are solved.

The invention relates to the technical field of information, and mainly aims to guarantee the communication continuity and data integrity of villages in remote mountainous areas. The invention provides a multidirectional communication data forwarding method and system, and the method comprises the steps: obtaining terrain elevation data and mountain surface reflection characteristics, constructing a three-dimensional terrain simulation environment, calculating an initial visible range between communication nodes, and obtaining a preliminary signal propagation interference distribution diagram; obtaining signal time difference data of each path in the preliminary forwarding path scheme, and generating an optimized forwarding path set; monitoring the distribution change of communication nodes of the forwarding path set in real time, continuously monitoring the change trend of signal propagation interference, determining signal loss rate data in a path execution process, and generating a stable communication transmission channel; according to a stable communication transmission channel, a signal time difference change trend in a path switching process is analyzed, and a switching time interval, a signal strength threshold and a node load balancing coefficient of path switching are determined.

The invention discloses an air-sea cross-domain network slice configuration and response method based on a CTC8180 chip, and belongs to the technical field of air-sea cross-domain communication and network slicing, and the method comprises the steps: S1, configuring and parallelly accessing NETCONF and CLI paths, and converting a configuration instruction into a CTC8180 chip call instruction; s2, creating a resource pool, a logic port, a binding interface and a VRF strategy based on a FlexE technology; s3, finishing forwarding and mapping configuration of a slicing strategy by combining SRv6 path programming, service level mapping and gport identification slice identification; s4, performance monitoring, data acquisition and fault detection are carried out through three protocols; s5, closed-loop control is formed through resource dynamic adjustment, path switching, strategy linkage and the like; and S6, multi-chip compatibility and stable adaptive deployment are realized through the steps of integrating S1 to S5. The invention provides a specific implementation method for constructing logic network slicing capability on high-performance forwarding hardware for air-sea cross-domain specific requirements, and provides reliable communication guarantee for high-dynamic heterogeneous services.

The embodiment of the invention provides a network state sensing and adaptive coding control method and device, equipment and a computer readable storage medium. The method comprises the following steps: acquiring network index data; inputting the network index data into a trained target AI model to generate a network prediction result; executing a target regulation and control operation according to the target network prediction result; the target regulation and control operation comprises an FEC proportion regulation and control operation, a video parameter regulation and control operation and / or an ICE path switching operation. In this way, higher-quality, more stable and more intelligent real-time audio and video communication can be realized in a complex public network environment.

The invention provides a concentrator communication path intelligent selection method based on mode recognition, and the key point of the technical scheme is that the method comprises the steps: configuring a data collection function module, and obtaining the multi-source index data of each communication path; performing time window alignment and sliding statistical preprocessing on the collected original index data, and normalizing the index data respectively; obtaining a real-time link quality score and a load attenuation mapping function value based on the normalized index data, and calculating a first optimization feature of each communication path; obtaining historical stability of link quality and path switching smoothness, and calculating a second optimization feature of each communication path; calculating a final score of each communication path based on the first optimization feature and the second optimization feature; a communication path is selected to issue a routing strategy, and model parameters are fed back and updated online; according to the method, all-directional balance of path performance, node load and historical stability can be realized, and the timeliness and stability of concentrator communication path selection are improved.

Apparatus and methods are provided for path switch with service continuity for the UE from the indirect relay link to direct cell link or vice versa. In one novel aspect, the UE is configured with measurement report configuration, which includes triggering event for sending the measurement report. The network sends path switch command to the UE to initiate the path switch based on the measurement report. The UE path switch includes intra-gNB and inter-gNB path switch between the indirect relay link and the direct cellular link. The triggering events are a measurement of the target direct Uu link is an offset better than a measurement of the serving sidelink for a indirect link to direct link switch and a measurement of the PC5 link is better than a predefined threshold for direct link to indirect link switch.

The invention discloses a power supply communication method and device based on power line carrier communication, and relates to the technical field of power supply communication. Problems of signal attenuation, insufficient anti-interference capability, insufficient stability of power supply communication, insufficient intelligent path switching capability and the like exist in the prior art. According to the method, high-sampling-rate PSD analysis, STFT and LSTM are adopted to predict noise power time sequence data, and a noise-load rate coupling model is established; secondly, based on a transmission line theory, researching channel time-varying characteristics, calculating signal reflection and multipath effects, and calculating channel coherence time through a sliding window; for signal attenuation, low, medium and high frequency band models are respectively established, path attenuation is calculated, and channel capacity is optimized; and finally, through real-time stability analysis, short-term and long-term SNR stability is calculated, and path selection is optimized in combination with a load rate, so that communication quality is ensured. And through integration of channel modeling, time-varying analysis and path optimization, the reliability and stability of power line carrier communication are improved.

Methods, apparatus, and systems for providing multicast handover are disclosed. In one example aspect, the method includes receiving, by a target radio access node (T-RAN) from a source radio access node (S-RAN) or from an access and mobility management function (AMF), a handover request including a multicast or broadcast context for a handover of a multicast and broadcast service (MBS) to the T-RAN. The method further includes binding a shared tunnel for the MBS and a flow in a unicast protocol data unit (PDU) session in a case that an MBS session identified in the multicast or broadcast context has already been established at the T-RAN, and sending, to an AMF, a message including a handover request acknowledgment or a path switch.

The invention discloses a data communication method, system and device under a disaster condition, and belongs to the field of power systems, and the method comprises the steps: determining a graph structure model based on a current network topology structure and network topology change information under the disaster condition, carrying out the calculation through a graph theory algorithm, and determining a transmission node and a standby path; if the node connection is abnormal, performing multi-path planning calculation on the standby path to obtain a planning result; splitting the power grid information packet into a plurality of data packets, performing data transmission through a multi-path planning result, and monitoring a transmission progress and arrival confirmation information in real time; and if it is monitored that the transmission is overtime or lost, updating the planning result based on a preset path switching rule to obtain a target planning result, and performing rerouting processing on the remaining data packets according to the target planning result to realize data communication under the disaster condition. And efficient, reliable and stable operation of data communication of the power grid under disaster conditions can be realized.

The invention relates to the technical field of cloud computing, and discloses an elastic line scheduling method based on cloud computing, comprising the following steps: S1, establishing a virtual network architecture in a cloud computing environment; comprising the steps of virtualizing network resources, defining network topology and creating network virtual machine instances (VMs) and service instances; s2, real-time flow monitoring and demand prediction; comprising a flow monitoring system, a flow prediction model and prediction result feedback. S3, intelligent elastic resource scheduling; comprising a bandwidth allocation strategy, multi-path selection, a path switching mechanism and dynamic routing adjustment. S4, ensuring fairness and priority management; comprising priority management and fair resource allocation; s5, carrying out system self-optimization and learning; comprising continuous monitoring and feedback, a self-learning mechanism and performance evaluation and adjustment. According to the invention, through the elastic scheduling method, only a larger bandwidth needs to be used in the peak period actually, so that the waste of bandwidth resources and the cost expenditure are greatly reduced.

The invention discloses a satellite Internet of Things distributed node parallel transmission acceleration method, which relates to the technical field of satellite Internet of Things, and comprises the following steps: dynamically fragmenting, splitting into N fragments according to a network load rate and a node state, adding a serial number, a check code and redundant information, and marking a head as {INJ}; the intelligent routing is used for distributing fragments to distributed nodes through a scoring function based on satellite ephemeris, node loads and link quality; dynamic path switching: monitoring link and node states, and switching to a better path when the performance does not reach the standard; fault-tolerant recombination is carried out, recombination is carried out according to sequence numbers, if missing fragments are few, erasure codes are used for recovery, and if missing fragments are more, local retransmission is carried out. Through parallel transmission, dynamic switching and fault-tolerant recombination, the transmission rate, throughput and robustness are improved, node loads are balanced, and the performance of the satellite Internet of Things is optimized.

The invention provides an SD-WAN architecture-based intelligent global hybrid cloud routing system, and belongs to the technical field of network routing, and the system comprises a data acquisition module which is used for compressing a to-be-transmitted data stream based on a preset compression algorithm so as to obtain a compressed data stream; the node determination module is used for acquiring network performance related data and determining a plurality of dynamic distributed nodes corresponding to the SD-WAN control layer; the node connection module is used for connecting all the distributed nodes and connecting all the distributed nodes to the SD-WAN control layer at the same time; the score determination module is used for collecting real-time network state data of all the distributed nodes, performing data analysis and determining a path score of each available path in combination with a preset user demand; the path determination module is used for determining an optimal path and a redundant path; and the path switching module is used for acquiring network state data of all the distributed nodes after the optimal path performs data transmission, and further determining a redundancy switching condition and performing redundancy path switching. And the reliability and adaptability of the network are improved.

The invention relates to the technical field of new energy power system operation control, and discloses a new energy station coordination control optimization method, system, equipment and medium based on data real-time transmission and synchronization, and the method comprises the steps: deploying a data collection module at each power generation unit side of a new energy station, and collecting multi-dimensional operation data in real time, converting into a uniform format; constructing a hybrid communication network architecture, monitoring a link state in real time, and triggering redundant path switching; establishing a global unified clock reference, carrying out time synchronization, and adding a timestamp to transmission data; performing preprocessing, anomaly detection and state estimation on the data with the timestamps; based on the preprocessed whole-field synchronous data, constructing an optimal control model, and solving an output distribution instruction of each power generation unit in a preset period; and the optimization instruction is issued to the power generation unit in a closed-loop manner through the low-delay communication network for execution. The method can effectively improve the overall operation efficiency, scheduling compliance and system stability of the new energy station, and has good engineering popularization and application prospects.

The invention discloses an intelligent control system and method for weak current equipment based on the Internet of Things, and relates to the technical field of weak current equipment control. Intelligent selection and switching of a main path are realized through topology modeling, path scoring, health feature analysis and supervised learning training and construction of a path health scoring function; the system can continuously monitor node states, identify abnormal nodes and carry out dynamic path replacement, and control continuity is guaranteed; and if path switching fails, fault root causes are automatically traced, high-risk nodes are isolated, and an operation and maintenance platform is linked to intervene in processing, so that the adaptivity, the self-healing capability and the engineering operation and maintenance efficiency of the weak current control system are remarkably improved.

The invention discloses a BeeGFS-based metadata query efficiency improvement method and system. The BeeGFS-based metadata query efficiency improvement method comprises the following steps: constructing a three-dimensional index network consisting of a PMEMKV hot data layer, a RocksDB common data layer and a ZFS cold data layer; dividing all metadata into three independent sets of hot data, common data and cold data according to the heat values, and respectively storing the three independent sets to corresponding layers; after a query request is received, a top layer, a middle layer and a bottom layer are queried in sequence, and corresponding metadata is returned if the query request is hit; monitoring query indexes in real time, wherein the query indexes are used for updating the heat value of the metadata and adjusting the storage configuration of each level; performing dynamic promotion or degradation on the metadata between the three-dimensional metadata index networks according to the latest popularity value of the metadata and a preset popularity threshold value, and performing data synchronization and query path switching in the promotion or degradation process; the method can reduce query delay, improve throughput and balance storage resources.

Embodiments of the present disclosure relate to methods and apparatuses for a connection handling mechanism in a Layer-2 (L2) UE-to-network (U2N) relay case in a communication system. According to an embodiment of the present application, a user equipment (UE) includes a transceiver and a processor coupled to the transceiver; and the processor is configured to: access a network node over an indirect path associated with a source relay node; in response to reception of a radio resource control (RRC) reconfiguration message for path switch via the transceiver from the network node, perform a path switch procedure from the indirect path to a target path, wherein the target path is a direct path between the UE and the network node or is another indirect path between the UE and the network node associated with a target relay node; and receive data via the transceiver from the source relay node over a source link between the UE and the source relay node during the path switch procedure.

The invention provides a data center interconnection link fault self-healing and path switching method, which comprises the following steps of: acquiring multi-dimensional link performance monitoring data, establishing a standardized time sequence database, realizing link health degree multi-index trend prediction by combining an LSTM-Attention model, and determining the link health degree according to the LSTM-Attention model. Risk-aware dynamic path selection and switching for multiple business scenes are realized by combining business service sensitivity modeling, path inherent stability quantification, nonlinear adaptive switching criteria and a debounce switching process, the response accuracy and the business adaptation degree of path switching are improved, false triggering and service interruption risks can be remarkably reduced, and the path switching efficiency is improved. And the high availability and robustness of routing in a complex network environment are enhanced.