301 results about "Relay systems" patented technology

The invention relates to the technical field of wind power generation, discloses an intelligent safety early warning method for wind power hoisting operation, and aims to solve the technical problems of insufficient perception and lack of data fusion and intelligent analysis decision in existing operation safety management. The method is characterized by comprising the following steps: constructing an intelligent terminal integrated with a UWB / IMU / safety belt / environment sensor; deploying a positioning base station network and a signal relay system; a multi-source data fusion intelligent analysis platform is established, and high-precision positioning, behavior recognition and deep learning risk prediction are achieved; and a closed-loop intelligent decision-making and execution system is constructed, and graded early warning, electronic fence, environment linkage and one-key help calling are realized. According to the method, a traditional experience driving mode is innovated into a data driving mode, the safety level and the operation efficiency of wind power hoisting operation are remarkably improved, and the defects of insufficient perception, information isolation and the like are overcome.

A method for signalling a link issue in a wireless communication system comprising a relay UE node and a plurality of nodes is described. The relay UE node is configured to relay data between a first UE of the plurality of nodes and a second UE of the plurality of nodes. The method at the relay UE node includes: detecting a link issue associated with at least one of a first PC5 link established between the first UE and the relay node, and a second PC5 link established between the second UE and the relay node; after detecting the link issue, generating link issue feedback information for the detected link issue, the link issue feedback information including information for identifying a type of the detected link issue; sending the link issue feedback information to at least one of the first UE and the second UE.

The present disclosure provides a frequency selective reflector reflecting electromagnetic waves in a particular frequency band to a direction different from a regular reflection direction, the frequency selective reflector including a plurality of regions and a function of adjusting a reflected beam profile.

Embodiments herein relate to a vehicle immobilization system is having a detection unit operable to detect a level of an intoxicant in a user, a control system to receive a signal from the detection unit indicating a level of intoxicant in the user, and a wireless transmitter configured to transmit signals. The system further includes a wireless relay system configured to be disposed in an engine compartment of the vehicle and having a wireless receiver configured to receive the signals from the wireless transmitter. Other embodiments are also included herein.

Certain aspects of the present disclosure provide techniques for RRC connection reestablishment by a remote UE. In some cases, a remote UE may be configured to detect, on at least one of a first link between a first relay UE and a first network entity or a second link between the remote UE and the first relay UE, a radio link failure (RLF) resulting in a loss of radio resource control (RRC) connection and attempt to reestablish RRC connection by performing at least one of relay selection or cell selection.

The invention discloses an unmanned aerial vehicle cluster relay system optimization method, and aims to significantly reduce the overall outage probability of the system by performing adaptive optimization on cooperative position deployment and flight trajectories of multiple unmanned aerial vehicles under multiple actual constraint conditions of flight speed, safety distance, flight boundary and the like. Therefore, the reliability and the service quality of the multi-unmanned aerial vehicle relay communication network are improved. According to the method, a Markov decision process (MDP) model is constructed, a multi-unmanned aerial vehicle trajectory optimization problem is converted into a multi-agent reinforcement learning problem, and efficient optimization of unmanned aerial vehicle trajectories is realized by using a centralized training-distributed execution framework, so that the outage probability of a communication system is minimized.

The invention provides a communication networking relay system for a network denial space and a data transmission method. The system comprises data acquisition equipment, a wireless relay unit, a multi-stage routing relay unit and upper computer monitoring equipment which are connected in sequence, wherein the wireless relay unit comprises a relay main control board and a wireless relay route for external transmission; in the relay main control board, a core processing module dynamically manages a task execution process that a built-in Bluetooth receives a Bluetooth broadcast signal and a built-in WiFi sends a decoding signal to the wireless relay route based on modular task division and priority scheduling; the task comprises the steps of determining an optimal return link of a decoded signal based on a link selection strategy, and adjusting the WiFi transmitting power based on an adaptive algorithm. According to the invention, the comprehensive performance of the relay system is significantly improved by fusing the link selection strategy to optimize the return path and the adaptive WiFi power adjustment technology.

Systems, methods, and instrumentalities are described hereinfor connection management and recovery associated with multipath sidelink relays. A relay wireless transmit / receive unit (WTRU) may provide a remote WTRU with RRC state information associated with the relay WTRU. The WTRU may receive configuration information indicating conditions to initiate a relay (re) selection or PC5-RRC connection to a relay WTRU. Conditions may be provided for initiating transmission over a relayed (e.g., secondary) path, where the conditions may depend on the RRC state information at the relay WTRU, a cell ID, and / or QoS.

Systems, methods, and instrumentalities are described herein for relay selection associated with WTRU-to-WTRU relays. A wireless transmit / receive unit (WTRU) may be configured to perform relay selection associated with WTRU-to-WTRU relays. The WTRU may (e.g., determine to) perform relay (re)selection, for example, based on active traffic and / or performed measurements (e.g., reference signal received power (RSRP) measurements). The WTRU may perform network assisted relay (re)selection. The WTRU (e.g., in coverage WTRU) may initiate a connection (e.g., RRC connection) or trigger a message (e.g., RRC message), for example, based on WTRU-to-WTRU relaying criteria. The WTRU may report measurements to the network, for example, based on multiple hops.

The present disclosure provides a system, apparatus and method for controlling welding based on artificial intelligence. The artificial intelligence-based welding control system according to an embodiment of the present disclosure may include a machine vision system configured to photograph at least a portion of a welding object through a camera, and transmit the photographed image (hereinafter, “photography image”) to a relay system; the relay system configured to receive the photography image from the machine vision system, recognize a welding position of the welding object from the received photography image based on a pre-trained first artificial intelligence model, determine whether the recognized welding position is included in a designated position range, and when the recognized welding position is included in the designated position range, transmit the recognized welding position to a welding system; and the welding system configured to receive the welding position from the relay system, and perform welding at the received welding position.

The invention discloses a novel non-line-of-sight target detection method and system. The non-line-of-sight target detection method comprises the steps that a ground radar transmits a signal to an airborne relay system; the relay system receives and amplifies a transmitting signal of the radar, and forwards the enhanced transmitting signal to a to-be-detected target; the to-be-detected target receives the enhanced emission signal and generates an echo signal; the relay system receives and amplifies the target echo signal, and forwards the enhanced echo signal to the ground radar; and the ground radar processes the received enhanced target echo signal so as to realize non-line-of-sight target detection. The non-line-of-sight target detection system comprises a ground radar, an airborne relay system and a to-be-detected target. According to the invention, the airborne relay system is used for enhancing radar emission signals and target scattering echo signals, the radar detection range is expanded, and non-line-of-sight targets shielded by high-rise buildings in the urban environment can be detected.

To improve communication efficiency in a relay system that uses a plurality of types of lower protocols with different communication speeds and involve conversion of upper protocols.SOLUTION: In an in-vehicle system, protocol conversion units 21, 24 of a central ECU 2 convert first messages transmitted and received with an external tool into second messages transmitted and received with a terminal ECU, and vice versa. A packing unit 22 combines one or more second messages supplied from the protocol conversion unit 21 into a combined message and transmits the combined message to the zone ECU 3 using the third lower-level protocol. An unpacking unit 23 extracts one or more second messages from the combined message received from the zone ECU 3 using the third lower-level protocol and supplies the extracted messages to the protocol conversion unit 24.SELECTED DRAWING: Figure 3

A method for a relaying system. The method for improving an awareness of the relaying system by user equipment includes encoding information about a relaying service in a vehicle-to-everything message and transmitting the vehicle-to-everything message to the user equipment to improve user equipment's awareness of the relaying system's relaying service.

Certain aspects of the present disclosure provide techniques for paging in sidelink L2 relay scenarios. An example method generally includes connecting, via a sidelink, to a relay user equipment (UE) connected to a network entity; receiving, from a network entity via the relay UE, configuration information identifying a paging mode for the remote UE; and monitoring for paging from the network entity, in accordance with the identified paging mode.

The invention discloses a vehicle relay method and system, a vehicle and a medium, the method is applied to the vehicle relay system, the vehicle relay system comprises a first vehicle and a second vehicle, and the method comprises the following steps: when the first vehicle detects that a condition of entering a communication blind area is satisfied, broadcasting a relay request to a surrounding area; when the second vehicle receives the relay request, determining a relay preference index according to the vehicle state and the relay request, forming a relay response message and feeding back the relay response message to the first vehicle; and the first vehicle determines a relay vehicle from the second vehicles according to the relay response messages and establishes a relay communication link for data relay communication. The relay suitability between the second vehicle and the first vehicle is scored from multiple dimensions through the second vehicle, and the selection standard of the relay vehicle is carried out according to the relay optimization index. The relay demand and the vehicle capability are accurately matched, the data transmission reliability in the communication blind area is guaranteed, and the communication continuity is further guaranteed.

The invention discloses an unmanned aerial vehicle auxiliary relay system power control method based on statistical knowledge, and belongs to the technical field of wireless communication, and the method comprises the steps: initializing the peak transmitting power and average transmitting power of a source node A and an air unmanned aerial vehicle relay R, initializing the outage probability limit and the rate at which the A transmits data information to a destination node B through the R, dividing the flight time delta of the unmanned aerial vehicle into 2I time slots; the unmanned aerial vehicle relay and the ground source node obtain statistical knowledge of the system; solving the optimization problem to obtain an identification vector of a time slot capable of being used for communication from A to B, the transmitting power of A and the transmitting power of R; and finally, controlling the transmitting power of the source node and the transmitting power of the aerial unmanned aerial vehicle relay according to the obtained result. The probability line-of-sight link condition between the unmanned aerial vehicle and the ground node and the large-scale and small-scale fading effects are jointly considered, the transmitting power of the source node and the unmanned aerial vehicle relay is optimally controlled, and more data information can be transmitted.

A vehicle-mounted relay device for relaying Ethernet frames includes a plurality of PHY units corresponding to a plurality of vehicle-mounted devices, a switch unit to which the plurality of PHY units are connected, and a control unit configured to monitor operating states of the plurality of PHY units. The plurality of PHY units include a predetermined PHY unit whose operating state switches between a sleep state and an active state in response to reception of a predetermined control signal that differs from the Ethernet frames. When an Ethernet frame to be transmitted from the predetermined PHY unit has been detected during a period where the predetermined PHY unit is in the sleep state, the control unit executes switching control to switch the predetermined PHY unit to the active state.

The invention discloses an optical fiber optical frequency transmission relay system and method based on a spread spectrum technology. The relay system comprises a receiving module, a regenerative laser module and a sending module. The receiving module is used for demodulating the spread spectrum optical signal according to the second pseudo-random sequence to obtain a demodulated optical signal; the spread spectrum optical signal is a signal which is transmitted through an optical fiber link after a preceding stage performs spectrum spreading on the optical signal; the regeneration laser module is used for locking the frequency of the demodulation optical signal to generate a regeneration optical signal and splitting the regeneration optical signal to obtain a return optical signal and a transmission optical signal; the receiving module is also used for modulating the returned optical signal according to the second pseudo-random sequence and transmitting the modulated returned optical signal back to the preceding stage; and the sending module is used for demodulating the post-stage modulation return optical signal to obtain a demodulated return optical signal, carrying out noise suppression and spectrum spreading on the transmission optical signal according to the demodulated return optical signal and a third pseudo-random sequence, and then transmitting the transmission optical signal to the post-stage. By introducing the spread spectrum technology, the second-order Rayleigh scattering signals are filtered out, and the stability and reliability of the system are remarkably improved.

The invention provides an unmanned aerial vehicle relay system adaptive scheduling method and system based on reinforcement learning, and relates to the technical field of reinforcement learning, and the method comprises the steps: simulating rehearsal of a plurality of unmanned aerial vehicles to execute a fire fighting task, and analyzing the time-space demands and potential changes of unmanned aerial vehicle relay communication in the rehearsal process; an unmanned aerial vehicle relay communication scheduling plan is made according to time-space demands and potential changes thereof; and implementing unmanned aerial vehicle relay system scheduling on fire-fighting tasks actually executed by multiple unmanned aerial vehicles according to the unmanned aerial vehicle relay communication scheduling plan by using a scheduling model pre-based on reinforcement learning training. A scheduling model trained through reinforcement learning is utilized to adjust an unmanned aerial vehicle scheduling strategy in real time, and efficient completion of a task and optimization of a communication link are ensured. Through the self-adaptive scheduling method driven by reinforcement learning, flexible and efficient relay system scheduling can be realized in a dynamically changing fire-fighting task, the stability of a communication link is effectively guaranteed, and the task response speed and the success rate are improved.

An apparatus is disclosed, the apparatus comprising a means for receiving selection of a relay system associated with a base station (10) of a communications network, the relay system comprising a first antenna (15) for substantially fixed orientation towards an antenna (12) of the base station and a second antenna (16) which is mechanically movable about one or more axes responsive to the control data to provide one of a range of possible orientations. The apparatus may also comprise a means for sending control data to the selected relay system for controlling the orientation of the second antenna, the control data comprising at least positioning instructions received from a node of the communications network for causing positioning of the second antenna to a particular orientation associated with a mobile target object (19).

The invention relates to the technical field of robot cluster control, in particular to a cluster inspection robot task coordination scheduling method based on Beidou short message communication, which comprises the following steps: S1, a scheduling center generates a task list according to an inspection area and task requirements, allocates a task number, a target coordinate and an effective time for each task, and sends the task list to an inspection center; forming a task instruction set and issuing the task instruction set to each robot through a Beidou short message; and S2, after receiving the task instruction set, each robot calibrates a local clock according to the Beidou time service signal, generates a local task queue and executes a corresponding task in an effective time window. According to the Beidou short message forwarding method and system, multi-robot cascade forwarding of Beidou short messages in complex terrains such as mountainous areas, canyons and tunnels is realized by constructing a multi-node relay system and a self-adaptive relay selection algorithm; even if a direct connection signal between a single robot and a satellite is blocked, a relay link can still be established through an adjacent robot to transmit inspection data and task instructions.

The invention provides a quantum relay system and method for single copy entanglement purification, and relates to the technical field of quantum communication, the quantum relay system comprises a relay node, a first hyper-entanglement source, a second hyper-entanglement source, a first node and a second node; the relay node is used for synchronously sending pulse signals to the first hyper-entanglement source and the second hyper-entanglement source; a first hyper-entanglement source for generating a first hyper-entanglement quantum pair in response to the pulse signal; a second hyper-entanglement source for generating a second hyper-entanglement quantum pair in response to the pulse signal; the first node is used for carrying out entanglement purification on the first idler frequency photon and the first signal photon in the first hyper-entanglement quantum pair together with the relay node; and the second node is used for carrying out entanglement purification on the second idle frequency photon and the second signal photon in the second hyper-entanglement quantum pair together with the relay node, so that the relay node realizes quantum relay between the first node and the second node based on the purified first signal photon and the purified second signal photon.

The present disclosure provides a system, apparatus, and method for controlling welding based on artificial intelligence. The artificial intelligence-based welding control system according to an embodiment of the present disclosure may include a machine vision system configured to photograph at least a part of a welding object through a camera and transmit the photographed image (hereinafter, "photographic image") to a relay system;The relay system is configured to receive the photographic image from the machine vision system, detect a welding position of the welding object from the received photographic image based on a pre-trained first artificial intelligence model, determine whether the detected welding position is included in a specific position range, and, if the detected welding position is included in the specific position range, transmit the detected welding position to a welding system; and the welding system is configured to receive the welding position from the relay system and perform welding at the received welding position.

The application discloses a kind of SF6 density relay comprehensive calibration instrument and calibration and measurement method, including intermediate pipeline and be located on the air pump of intermediate pipeline, the one end of the intermediate pipeline is respectively communicated with the one end of safety valve pipeline, first pipeline one end, second pipeline one end, the other end of intermediate pipeline is respectively communicated with the one end of micro water measuring pipeline and third pipeline one end, the other end of the micro water measuring pipeline is respectively communicated with the one end of inlet pipeline and purity measuring pipeline, the other end of third pipeline is respectively communicated with the other end of first pipeline and fourth pipeline one end, the other end of the fourth pipeline is respectively communicated with the other end of purity measuring pipeline, the other end of second pipeline and muffler pipeline, intermediate pipeline side is equipped with suction pipeline;The application has adopted new pneumatic circuit design, combines density relay system calibration circuit with moisture measurement circuit and purity measurement circuit together, with the characteristics such as high measurement efficiency, convenient, its loop structure is simplified, and measurement is efficient.

An autofocus system is disclosed. The system includes an illumination source. The system includes an aperture. The system includes a projection mask. The system includes a detector assembly. The system includes a relay system configured to optically couple illumination transmitted through the projection mask to an imaging system. The relay system is also configured to project one or more patterns from the projection mask onto a sample and to transmit an image of the projection mask from the sample to the detector assembly. The system includes a controller including one or more processors configured to execute a set of program instructions. The program instructions are configured to cause the one or more processors to receive one or more images of the projection mask from the detector assembly and determine a quality of the one or more images of the projection mask.

The invention provides a low-altitude unmanned system air node optimal deployment method based on communication-link-energy consumption joint optimization. The method comprises the following steps: initializing an unmanned aerial vehicle group; the system constructs a performance model according to the real-time channel information, constructs a multi-objective collaborative optimization problem, and solves the multi-objective optimization problem by adopting an MOPSO-HGD algorithm to obtain an optimal result; deploying the unmanned aerial vehicle group to the optimal position according to the optimal result to form a virtual distributed MIMO array structure; setting an unmanned aerial vehicle electric quantity threshold value, judging the size of each unmanned aerial vehicle remaining electric quantity and the unmanned aerial vehicle electric quantity threshold value, and if the unmanned aerial vehicle remaining electric quantity is smaller than the unmanned aerial vehicle electric quantity threshold value, recycling the unmanned aerial vehicle; otherwise, re-determining the position of the unmanned aerial vehicle group; through a closed-loop control mechanism of channel perception-multi-target optimization-dynamic adjustment, the unmanned aerial vehicle relay system can still keep a high signal-to-noise ratio and strong robustness in a complex low-altitude environment, is suitable for scenes such as low-altitude broadband communication, emergency rescue and urban information networks, and has a good engineering application prospect.

An electrical relay system with tilted contactor mounting. The system may include a housing including a first circuit and a second circuit; a relay may be disposed within the housing and configured to move the contactor between a closed position and an open position to connect and disconnect the first and second circuits, respectively. The contactor may be tilted relative to the vertical axis or any specified axis such that the contactor moves in a tilted manner relative to the vertical axis or any specified axis.

The application relates to a kind of OFDM-based broadband millimeter wave relay system hybrid beamforming design method, comprising: calculating the receiving signal of target node under the condition that each node is all digital processor;The receiving signal is processed using minimum mean square error criterion in target node, and MMSE matrix is calculated;Using the equivalence between maximizing sum rate and minimum weighted mean square error algorithm, the maximum sum rate problem is converted into minimum weighted mean square error problem according to MMSE matrix;Deep unfolding neural network is used to solve the minimum weighted mean square error problem, and all digital processor of each node is obtained;Each node's all digital processor is decomposed based on least square decomposition algorithm, and hybrid beamforming matrix of each node is calculated, the complexity of the algorithm is greatly reduced, and the running time of the system can be effectively improved.

The application relates to an adaptive double-coil time sequence driving intelligent high-voltage direct-current relay system, which comprises an intelligent power control unit, a double-coil driving unit, a main contact unit, an electric parameter sampling unit, a temperature sampling unit, an arc extinguishing assembly, a communication unit and a soft measurement calculation unit. The double-coil driving unit comprises a starting coil and a maintaining coil; the starting coil realizes rapid attraction of the contact; and the maintaining coil maintains the steady state of the contact. The electric parameter sampling unit collects the main loop current, the contact voltage drop, the coil current and the bus voltage; and the temperature sampling unit collects the coil temperature and the environmental temperature. The soft measurement calculation unit obtains the equivalent temperature of the contact and the vibration intensity. The intelligent power control unit dynamically adjusts the coil power-on duration, the driving voltage and the current, realizes coil time sequence switching, completes contact health assessment, fault prediction and grading protection. The communication unit transmits state, parameter and fault information through a CAN / LIN bus; the arc extinguishing assembly realizes arc extinguishing during disconnection; and the system can reduce power consumption, realize deterioration early warning and effectively avoid device burning.

The invention discloses a simultaneous voice transmission system test method and a related device, and relates to the technical field of system testing, and the method comprises the steps: obtaining a test audio set, inputting the test audio in the test audio set into a simultaneous voice transmission system for processing, according to the processing condition data of the simultaneous voice transmission system on the test audio in the test audio set, the test results of the simultaneous voice transmission system under the user experience dimension, the system function dimension and the core module dimension are determined, and the user experience dimension pays attention to the end-to-end perception of the user on the simultaneous voice transmission system. The system function dimension pays attention to the cooperative work condition between modules in the simultaneous voice transmission system, and the core module dimension pays attention to the performance of each independent module in the simultaneous voice transmission system. According to the voice simultaneous transmission system test method disclosed by the invention, complex system tests are classified into three clear levels, problems can be found through the tests of the three levels, the root of the problems can be accurately positioned, and end-to-end full link coverage and verification are realized at the same time.