1285 results about "Network control" patented technology

A value chain network control tower system comprises a processor and memory configured to execute a know your model system that manages the complete lifecycle of Al models in enterprise environments. The know your model system performs model intake and registration actions including model documentation collection, registration procedures, metadata collection, input / output interface standardization, legal and licensing validation checks, and security validation. The system conducts comprehensive model evaluation and risk assessment actions by analyzing foundational properties, task performance, safety and risk management, alignment and compliance characteristics, operational metrics, and tooling transparency capabilities. The know your model system executes model deployment actions through automated environment validation, predeployment approval processes, and controlled production deployment with continuous monitoring.

An adaptive impedance-based multi-mobile-robot collaborative transportation control method. Each mobile robot estimates the actual pose and ideal pose of a reference point and the first and second derivatives of the ideal pose by means of two finite-time fully-distributed observers, respectively; and then, on the basis of the estimated poses of the reference point, the pose of an end-effector of a mechanical arm, and closed-chain constraints for collaborative transportation, an ideal trajectory of the end-effector of the mobile robot, and an estimated value of a pose deviation between the end-effector of the mobile robot and the reference point are obtained. An adaptive impedance system of each mobile robot is interconnected with a virtual energy tank, and the energy tank is used to guide the updating of impedance parameters, thereby ensuring the passivity of the entire collaborative adaptive impedance system. To process unknown system dynamics of mobile robots, an asymptotic tracking adaptive neural network controller is designed using a neural network, thereby asymptotically achieving an ideal adaptive impedance relationship. The operational accuracy of multi-robot collaborative transportation systems is improved while ensuring safe collaboration.

The invention provides an optical storage parallel network control method, which comprises the following steps: calculating the current load rate percentage of each residual unit according to the connection relation and electrical path information of the residual units after isolation; evaluating the available margin capacity and the frequency regulation bearing capacity of the remaining units, matching the available margin capacity and the frequency regulation bearing capacity with a specific power value and a frequency regulation requirement which need to be compensated, and determining a feasible unit combination scheme for fault recovery; generating a power redistribution list and a frequency adjustment responsibility distribution table according to the direct current bus connection mode of the optimal unit recombination, and obtaining an output power set value and a frequency adjustment parameter of each unit after adjustment; and extracting the continuous power supply time value of the optical storage parallel network, updating the total power supply capacity value of the optical storage parallel network, and maintaining the continuous power output and frequency stability after the fault of the optical storage parallel network.

In general, techniques are described for a SDN architecture system that implements an integrated gateway service. In an example, network controller comprises processing circuitry and memory and is configured to: configure a virtual network in a cluster of nodes of a compute infrastructure, the cluster of nodes managed in part by the network controller; receive a manifest for a gateway service instance that abstracts a transit gateway resource configurable in a plurality of different types of compute infrastructures, wherein the manifest specifies an intended state of a transit gateway object of the gateway service instance; and reconcile the intended state of the transit gateway object for the gateway service instance by sending configuration data, generated based on the transit gateway object, to an interface for the compute infrastructure to configure a transit gateway to forward network packets between a compute infrastructure node of the compute infrastructure and the virtual network.

The invention relates to a situation awareness network vulnerability defense method and system, and the method comprises the steps: extracting a multi-mode traffic feature, inputting the multi-mode traffic feature into a fusion twin network model, and outputting security event information; constructing a preliminary control strategy matrix based on the security event information, and performing optimization adjustment to generate an access control strategy matrix; converting the access control strategy matrix into a network control instruction set, and sending the network control instruction set to each execution device; performing network situation monitoring on the execution equipment, performing evaluation through a game theory evaluation model, and dynamically adjusting and optimizing parameters based on an evaluation result; in conclusion, abnormal traffic behavior pattern recognition is realized by fusing the twin network model, the problems of static strategy stiffness and low resource scheduling efficiency in the traditional defense technology are effectively solved by combining multi-objective optimization and a dynamic strategy adjustment mechanism, accurate recognition of the abnormal traffic behavior pattern and optimization of resource scheduling configuration are realized, and the method is suitable for the implementation of the defense technology. The method has the effect of improving the network protection adaptivity.

The invention relates to the technical field of wireless communication, and particularly discloses a high-voltage transformer remote metering monitoring system based on 5G network slicing, which senses network performance in real time by constructing a multi-dimensional network state matrix, performs path rehearsal and resource allocation calculation by using a digital twinning technology, and realizes remote metering monitoring of a high-voltage transformer. Generating a candidate transmission path set with optimal time delay consistency and a corresponding wireless resource block allocation scheme; calculating a path resource allocation factor and combining with network load prediction to generate an optimal resource scheduling strategy; and finally, converting the strategy into a specific network control instruction, establishing a special transmission channel with deterministic service quality, and implementing real-time monitoring and maintenance.

Some embodiments provide a method for a first data compute node (DCN) operating in a public datacenter. The method receives an encryption rule from a centralized network controller. The method determines that the network encryption rule requires encryption of packets between second and third DCNs operating in the public datacenter. The method requests a first key from a secure key storage. Upon receipt of the first key, the method uses the first key and additional parameters to generate second and third keys. The method distributes the second key to the second DCN and the third key to the third DCN in the public datacenter.

The invention relates to the technical field of multi-modal behavior anomaly detection scheme design, in particular to a multi-modal behavior anomaly detection method and system under the condition that encrypted traffic is not decrypted. The method comprises the following steps: capturing a network encrypted traffic data packet in real time; on the premise that decryption is not carried out, multi-mode non-decryption features such as flow layer statistics, time sequence interaction, encryption handshake and context association are extracted in parallel; establishing a dynamic normal behavior baseline model of each feature based on historical data; the real-time features are compared with the baseline model, comprehensive judgment is carried out through a multi-mode correlation analysis algorithm, and an anomaly detection result is output; and when the abnormal condition is judged, the network control equipment is automatically linked for blocking. The method thoroughly gets rid of dependence on traffic decryption, realizes high-precision and self-adaptive detection and rapid automatic response to abnormal behaviors in encrypted traffic through multi-dimensional feature fusion and dynamic baseline technologies, and effectively solves the problem of failure of a traditional detection technology in an encrypted environment.

The invention relates to an intelligent oil containment boom mechanical arm device and a control method thereof. The intelligent oil containment boom mechanical arm device comprises a mechanical arm, a hydraulic driving system, a sensing system and a control unit. The mechanical arm comprises a transmission base, a steering stand column, a large arm, a small arm, an overturning head and a tail end grabbing hook assembly. The hydraulic driving system comprises a hydraulic pump station, a proportional reversing electromagnetic valve group and a plurality of execution oil cylinders; the sensing system comprises a gyroscope array and a camera array to form a distributed attitude sensing network and a distributed visual sensing network; the control unit identifies and positions an oil containment boom target based on a sea surface image acquired by the distributed visual perception network, performs motion planning on the mechanical arm, and controls the mechanical arm to move and grab the target; in the target positioning process, posture changes of all parts of the mechanical arm are sensed in real time based on the distributed posture sensing network, and dynamic compensation is conducted on the posture error of the mechanical arm. According to the device, the oil containment boom can be quickly, accurately, reliably and intelligently grabbed, and the laying efficiency and safety of the oil containment boom are improved.

The invention discloses an intelligent controllable road bridge vibration detection method based on magnetorheological fluid and a damping device, and belongs to the technical field of bridge engineering structure health monitoring and vibration control, and the method comprises the steps: calculating a comprehensive vibration strength index through multi-source signal fusion and adaptive Kalman filtering, and estimating the bridge speed; the damping force is mapped through the pre-calibration database, and a damper state verification mechanism is introduced; a gain self-adaptive ceiling algorithm is combined with a fuzzy PID control force algorithm for tracking to realize accurate control; finally, the health state of the system is evaluated through performance degradation indexes of temperature compensation, corresponding devices are integrated with a sensing network, a control unit and a distributed acquisition architecture, and the problems that a traditional system is single in state sensing, fixed in control strategy, lack of a self-diagnosis function, complex in engineering wiring and the like are solved. The comprehensive solution integrating intelligent monitoring, self-adaptive control and health self-diagnosis is realized, and the reliability, adaptability and maintainability of the bridge damping system are remarkably improved.

The invention discloses a low-orbit communication satellite load multilink cooperative transmission system, relates to the technical field of satellite communication, introduces a prediction-based active switching management mechanism, and effectively overcomes the inherent defects of a traditional passive switching mode in a high-speed moving scene. A continuous and stable optimal service satellite sequence can be prospectively planned for the user terminal, and resource negotiation and reservation with subsequent satellites are completed in advance; the blind switching and the ping-pong effect of the user terminal caused by instantaneous signal fluctuation at the coverage edge of a plurality of satellite signals are avoided from the source, unnecessary switching signaling interaction is greatly reduced, and the load of a network control plane is reduced.

The invention relates to the technical field of network detection, and provides a dynamic event trigger fault detection method under DoS network attack, which comprises the following steps: establishing a linear state space model of a network control system; defining a non-attack interval and an attack interval of system operation, and constraining attack frequency and duration; the observer gain is switched according to the current non-attack interval or attack interval of the system; a dynamic event triggering mechanism is constructed, and the triggering condition depends on the output state and the internal dynamic variable of the full-order switching observer and is used for dynamically adjusting the data transmission frequency; establishing a closed-loop switching system model; and analyzing system index stability according to the closed-loop switching system model, and cooperatively designing observer gain, controller gain and event triggering parameters. According to the invention, through quantification of the DoS attack model, the dynamic event triggering mechanism and collaborative optimization design, the effects of effectively detecting the system fault and improving the utilization rate of the network channel are achieved.

The invention relates to a dam slope deformation monitoring method based on fusion of a measuring robot and a GNSS (Global Navigation Satellite System). The method comprises the following steps: performing signal synchronization and delay correction on a dual-mode observation pillar of a GNSS and a prism target of a measurement robot, and constructing a space-time reference network; controlling the measurement robot to emit an anti-interference laser pulse, counteracting environment vibration, and outputting a vibration compensation coordinate set; obtaining a dam slope displacement field through variable weight adaptive fusion processing; performing encryption scanning on an abnormal area exceeding a first deformation threshold in the displacement field to generate a polarization interferometric phase diagram, forming an adaptive data stream through three-stage dynamic classification coding, calculating a reference point drift component in combination with a dual-mode observation pillar, and extracting a net deformation set; and finally, mapping the net deformation set to a BIM model, constructing a color temperature gradient three-dimensional deformation situation map, triggering early warning for an area exceeding a second deformation threshold value, and generating a three-dimensional early warning map. According to the method, high-precision space-time unification of multi-source data can be realized, and the monitoring consistency and the anti-interference capability in a complex environment are remarkably improved.

Embodiments include methods for a user equipment (UE), particularly for performing quality of experience (QoE) measurements configured by a wireless network. Such methods include receiving, from a radio access network node (RNN) in the wireless network, a request for QoE measurement reports that are available at the UE and that are associated with one or more services provided by the UE application layer. Such methods also include sending one or more QoE measurement reports to the RNN in accordance with the request. Other embodiments include complementary methods for a RNN, as well as UEs and RNNs configured to perform such methods.

Apparatuses and methods for beam management for repeaters. A method for a network-controlled repeater (NCR) includes receiving, by an NCR mobile termination (NCR-MT) entity, first information for a list of spatial domain filters for an access link of an NCR forwarding (NCR-Fwd) entity, second information for a set of spatial relations corresponding to reference signals (RS) for transmission or reception on a control link (C-link) of the NCR-MT entity, and third information indicating an uplink (UL) or downlink (DL) direction for each time domain resource. The method further includes determining an UL time domain resource, a first spatial domain filter, and a second spatial domain filter based on the second information. The method further includes receiving, by the NCR-Fwd entity, a radio frequency (RF) signal on the access link using the first spatial domain filter and transmitting the RF signal on a backhaul link using the second spatial domain filter.

The invention provides a network topology configuration method, a communication system and related equipment, and the method comprises the steps: enabling a network controller to analyze a training task before an AI model starts distributed training, determining the traffic demand information of the training task, and transmitting the traffic demand information to the AI model; the traffic demand information comprises bandwidth demand quantity among different processors in a training process of an AI training task, network topology information of the photoelectric hybrid networking can be determined based on the traffic demand information, and then configuration information of the optical switching equipment is generated based on the network topology information. According to the invention, the configuration information of the optical switching equipment is acquired, so that the optical switching equipment can perform link switching based on the configuration information to complete topology reconstruction of photoelectric hybrid networking, the network controller can actively perform flow planning before AI model training, and the problem of long network delay caused by slow link switching speed of the optical switching equipment in the training process can be avoided.

The invention discloses a starting method for a pre-starting execution environment, computer equipment and a related product, and relates to the technical field of computers, the method comprises the following steps: when a first network driver triggers a target unloading process due to loading of a second network driver and the first network driver has sent a network release message in the target unloading process, starting the target unloading process; monitoring an overtime event and a network reply message event of the monitoring timer; when the timeout event is monitored and the network reply message event is not monitored, triggering the first network driver to resend the network release message; and when the retransmission times exceed a preset retransmission threshold value, forcibly terminating the target event polling operation, and transferring the network control right from the first network driver to the second network driver, so that the second network driver takes over and continues to execute the starting process based on the own network protocol stack. The technical problem of deadlock in the starting process of the pre-starting execution environment in related technologies is solved, and the technical effect of improving the starting reliability of the pre-starting execution environment is achieved.

The invention discloses an energy storage type SOP black-start method, system and device based on improved VSG network construction control and a medium, and relates to the field of power grid black-start, and the method comprises the steps: an energy storage type converter MMC carries out the active and reactive control based on an improved VSG network construction control strategy; a non-fault side MMC is controlled to firstly close an isolation circuit breaker and slowly charge a direct-current capacitor, and when the voltage reaches a set threshold value, a current-limiting resistor is quitted; the fault side MMC is started by the same step as the non-fault side MMC; after synchronization is completed, AC circuit breakers between the non-fault side MMC and the feeder load and between the fault side MMC and the feeder load are closed respectively; based on the collected power grid power data, MMC output parameters are adjusted to meet the power grid connection condition, the control mode is switched according to the grid connection state, and the black start process is ended. And by arranging the black start resistor for current-limiting charging and sub-module voltage balance control, the phenomena of overcurrent and voltage unbalance in the black start process are avoided.

A control method for a network-controlled repeater includes: determining that the repeater transmits a physical random access channel to the base station, in which the physical random access channel is configured to recover a control link between the repeater and the base station; and causing the repeater to cease forwarding a signal between the base station and a user equipment. Causing the repeater to cease forwarding the signal may include causing the repeater to cease forwarding the signal between the base station and the user equipment on all carrier components or selected carrier components.

A repeater device receives a first configuration that associates reference signal (RS) resources and receive / transmit (Rx / Tx) beam pairs configurable at the repeater device for repeating one of: (i) a downlink (DL) radio frequency (RF) signal received on a backhaul link from the base station to a user equipment (UE) over an access link; and (ii) an uplink (UL) RF signal from the UE to the base station. The device: receives a second configuration for measuring and reporting self-interference of a first list of the RS resources; configures the repeater device with Rx / Tx beam pairs identified in the first list of RS resources; measures self-interference received on an Rx beam of first Rx / Tx beam pairs; and generates and forwards, to the base station, a self-interference measurement report comprising a second list of Rx / Tx beam pairs from the first list of Rx / Tx beam pairs that cause self-interference above a threshold value.

The invention discloses an industrial steam pipe network control method and system based on multi-source data fusion and adaptive learning, and the method comprises the steps: obtaining multi-source real-time operation data of an industrial steam pipe network system, and carrying out the calculation based on a digital twin model to obtain a state variable calculation value of an industrial steam pipe network; comparing the state variable calculated value with a state variable measured value in real-time operation data to generate a residual error, taking minimization of the residual error as an optimization target, and automatically inverting and updating one or more time-varying physical parameters in the digital twinborn model on line through an optimization algorithm, so as to obtain a digital twinborn model. And performing system simulation, state monitoring or optimization control by using the updated digital twin model. The simulation error is controlled within an extremely low range allowed by engineering for a long time; a self-adaptive learning mechanism enables the model to be quickly self-adjusted and keep effective when facing working conditions such as pipe network topology change and equipment performance degradation, so that the adaptability of the digital twin system to a complex dynamic environment is greatly enhanced.

Aspects of the subject disclosure may include, for example, communicating, with a parent cell of a wireless communications system, beamforming information; receiving, from the parent cell, first parent downlink (DL) communications, wherein the first parent DL communications are associated with first user equipment (UE); transmitting, to the first UE, first repeater DL communications, wherein the first repeater DL communications are based upon the first parent DL communications; receiving, from the first UE, first UE uplink (UL) communications; and transmitting, to the parent cell, first repeater UL communications, wherein the first repeater UL communications are based upon the first UE UL communications; wherein the beamforming information is used to control the transmitting of the first repeater DL communications, the transmitting of the first repeater UL communications, or any combination thereof. Other embodiments are disclosed.

A system and method for a wireless device to derive a channel state information (CSI) codebook based on a decoder and a vector quantization codebook, receive a reference signal from a base station, derive an estimated channel from the reference signal, select an entry from the CSI codebook based on the estimated channel and a selection criterion, and report an index of the selected entry to the base station. The wireless device may receive a subset indication, derive therefrom a second CSI codebook, and select the CSI codebook entry from the second CSI codebook. A CSI compression machine learning (ML) system and vector quantization codebook may be obtained by a network controller. The decoder may be a part of the CSI compression ML system, the vector quantization codebook may be based on an encoder of the CSI compression ML system, and they may be sent to the wireless device.

The invention discloses a photovoltaic inverter networking control method, device and equipment based on a virtual oscillator. The method comprises the following steps: acquiring a grid-connected instruction that a photovoltaic inverter is connected into a power grid; acquiring electrical parameters of the photovoltaic inverter and environmental parameters of the environment where the photovoltaic inverter is located according to the grid-connected instruction; after it is determined that the electrical parameters and the environmental parameters both meet preset startup conditions, a startup instruction is sent out; performing power-on self-test on the photovoltaic inverter networking system according to the power-on instruction; controlling the output of the photovoltaic inverter to be pre-synchronized with a power grid through a virtual oscillator under the condition that the self-inspection of the photovoltaic inverter networking system is completed; and after the control pre-synchronization is completed, a grid-connected switch between the photovoltaic inverter and the power grid is controlled to be closed, so that the photovoltaic inverter enters a normal working state of network construction. According to the method, active adjustment and dynamic support functions of the photovoltaic inverter can be quickly and effectively realized.

The invention discloses a satellite-ground convergence network switching method, which comprises the following steps of: operating double protocol stacks of a 5G protocol stack and a satellite communication protocol stack in parallel in a user terminal embedded environment, maintaining active connection of double link layers, and acquiring a parameter set in real time through a multi-dimensional link quality monitoring module; inputting the parameter set into an embedded prediction model, and predicting whether the current network quality is lower than a first quality threshold in a specific time window based on a historical link degradation mode and a real-time change trend; when the prediction triggering condition is satisfied, the encrypted context information group is pre-synchronized to the target network control entity through the security signaling channel of the current service network immediately; when it is monitored that the actual link quality is reduced to a second quality threshold value, the pre-synchronized context information group is directly activated to execute atomization switching operation, and it is ensured that the end-to-end switching time delay is controlled within a preset time delay range; according to the method, instantaneous seamless switching of the network is finally realized, and high-real-time service transmission reliability is ensured.

A method for a network controlled repeater (NCR) is disclosed. The NCR has a control link and a backhaul link, to an access network node, and an access link to a user equipment, UE. Transmission via the control link is terminated at the NCR and transmission via the backhaul link is forwarded via the NCR to the access link. The method includes: transmitting, to the access network node, capability information indicating capability for dealing with interference among transmission of the control link, the backhaul link, and the access link; and receiving, from the access network node via the control link, control information for controlling the NCR to deal with the interference based on the capability information.

The invention relates to the technical field of meteorological monitoring, in particular to a satellite fusion internet-of-things meteorological early warning issuing method, which comprises the following steps of: firstly, acquiring data of a stationary satellite, a low-orbit satellite, millimeter wave communication, ground optics and an electric field, and calibrating and registering to form a unified observation set; a multi-modal diagram is constructed, the optimal transmission mapping meeting mass conservation is obtained through quantum annealing, and three-dimensional wind speed, specific humidity and temperature fields are reconstructed to generate potential energy tensors; establishing a potential energy function based on the potential energy tensor, and judging convection nucleation through Hamiltonian Monte Carlo sampling minimum action path; a coring event is packaged into an early warning message, a signature and a delay function timestamp are added, then the early warning message is written into a right and interest proof block chain, a named data network controlled by reinforcement learning is used for self-adaptive copying and distribution, and meanwhile, an action quantity threshold value and a regularization coefficient are dynamically adjusted. According to the invention, minute-level advance, second-level issuing and whole-process traceable meteorological early warning are realized.

The invention discloses a network resource allocation method, electronic equipment and a storage medium, and the method comprises the steps: taking a current excitation parameter issued by a global decision model in a cloud platform as a weighted item of a reward function of a domain-level decision model; the decision model in a single domain is controlled to realize the optimal local network resource and consider the optimal global network performance of the cross-domain network at the same time; according to the global decision model, quantizing the global income index after each candidate operation is executed so as to determine a global resource allocation strategy; and finally, the network resource allocation state of each data center is adjusted through the network controller deployed in each data center, and the domain-level decision model is deployed in a plurality of data centers in different regions. Through the method, the technical problem that cross-domain network resources in a cloud environment cannot be reasonably allocated in related technologies is solved, and the technical effect of intelligently and cooperatively allocating local network resources and global network resources in a domain is realized.

The invention belongs to the technical field of unmanned aerial vehicle testing, and discloses an air-ground unmanned aerial vehicle wind resistance performance testing platform based on a physical information neural network. The air-ground unmanned aerial vehicle wind resistance performance test platform is composed of a wind field simulation system, a physical information neural network control system and an unmanned platform indoor positioning system. The wind field generated by the wind field simulation system is accurately controlled based on the physical information neural network control system, the complex wind field required by the air-ground unmanned aerial vehicle in the wind resistance test process of the air and ground subsystems is simulated, and the uniformity of each index of the wind field is ensured.

Various aspects of the present disclosure relate to a device and method for a network-controlled repeater (NCR) device to detect, indicate, and recover from a backhaul failure. The method includes communicating, by the NCR device with: (i) base station(s) via a control link or a backhaul link and (ii) a user equipment (UE) via an access link. A beam association is determined of the control link and the backhaul link. The method includes determining that the control link is communicated on a first beam and the backhaul link is communicated on a second beam of the base station(s). In response, the method includes monitoring a reference signal received on the backhaul link for an indication of failure of the backhaul link. The method includes transmitting a request for backhaul beam recovery on the control link in response to detecting the indication of failure of the backhaul link.