38results about How to "Reduce communication delay" patented technology

The invention discloses a wireless network data reliability transmission system, which is used in the technical field of data transmission and comprises a slave gateway deployment and data aggregation module. A scheduling protocol and priority management module; a hierarchical caching and breakpoint resuming module; and a trend prediction optimization decision module. According to the invention, in combination with priority-based scheduling, link quality evaluation, data caching and retransmission mechanisms, reliable transmission of data with different priorities in a wireless network can be ensured, and normal transmission can be recovered through an efficient data recovery mechanism when the network is unstable; through real-time environment state estimation and prediction, communication parameters and resource scheduling can be dynamically optimized, network performance is effectively improved, and communication delay is reduced. The hidden state of a communication environment is estimated in real time through comprehensive analysis of link quality, event records and cache state data, future hidden state changes are predicted through a time sequence convolutional network, and potential performance degradation risks are recognized in advance.

The invention provides a wave position dynamic transfer method, system and device based on inter-satellite linkage and a medium, and the method is executed by an overload satellite and comprises the steps: judging whether a self load is overloaded or not; if the load is judged to be overloaded, selecting a to-be-transferred wave position from self-managed wave positions; acquiring state information of the adjacent satellites through inter-satellite interaction with the adjacent satellites; based on the obtained state information, determining a target satellite capable of bearing a to-be-transferred wave position from adjacent satellites having coverage overlapping with the target satellite; negotiating with the target satellite through an inter-satellite link to confirm beam position transfer, and triggering the target satellite to adjust the beam to cover the to-be-transferred beam position; and after negotiation confirmation, controlling the user equipment in the to-be-transferred wave position to be switched to the target satellite, and releasing the wave position resources. By adopting the method, the communication delay of the user equipment can be reduced, the throughput of the user equipment and the constellation resource utilization rate can be improved, and the service quality and user experience of a satellite communication system can be comprehensively optimized.

The present application belongs to the technical field of remote control of robots, and particularly relates to a 5G cross-domain low-latency remote control system and method for an explosion-proof humanoid robot. The system comprises a master end teleoperation intelligent cockpit and a slave end remote explosion-proof humanoid robot, and the two are connected through a 5G network for information interaction. The system transmits video streams through H.264 encoding and WebRTC protocol, packs sensor data through JSON, and independently processes information for humanoid control and chassis control. The present application can realize accurate remote force feedback and control, with a humanoid control latency within 100 ms and a chassis control latency within 150 ms, effectively solving the stability and latency problems of remote cross-domain control and ensuring the personal safety of operators in dangerous operating environments.

The application relates to the technical field of power supply circuits, and particularly discloses a self-adaptive constant-current control method and system for a DC-DC direct-current conversion power supply, wherein the output voltage is acquired in real time and compared with a plurality of preset voltage thresholds, the interval where the output voltage is located is identified, the input current constant-current given value is reduced according to a first step value in response to the output voltage rising in the voltage limiting zone, the input current constant-current given value is reduced according to a second step value in response to the output voltage rising in the current sharing zone, and the first step value is greater than the second step value, so that the voltage overshoot caused by load shedding is quickly inhibited, the stable control of the output voltage is brought, the dynamic response capability of the system is improved, and the risk of damage of power devices due to overvoltage is reduced.

The application belongs to the technical field of intelligent service robots, and relates to a home maintenance robot with omni-directional movement and electromechanical cooperative posture control, which comprises an omni-directional chassis, a multi-degree-of-freedom mechanical arm module, a capsule type modular intelligent material supply cabin, an environment sensing and interaction head module, a sensor group and a main controller. The chassis is driven by Mecanum wheels and motors; the material supply cabin comprises an annular cabin body assembly, a plurality of capsule cabins, a central feeding channel, a lifting feeding platform, a platform lifting driving mechanism, a cabin door opening mechanism, a discharging channel and a magnetic guide mechanism. The device can realize standardized classified storage of small standard parts, automatic cabin selection, single capsule release, central receiving and magnetic discharging, thereby reducing the risk of standard part scattering, mixing and jamming; effectively improving the passability of the robot in unstructured terrains such as carpets, doorsteps and slopes, avoiding the imbalance of the center of gravity when the mechanical arm extends for operation, and being compact in structure and suitable for daily maintenance of household items in single-family homes.

The invention relates to the technical field of modeling systems, and discloses a portable cluster three-dimensional rapid modeling system and method, and the system comprises an integrated case unit which is internally integrated with a main computing node and a sub computing node; the power supply and power management module is used for monitoring the load of each computing node in real time and dynamically adjusting power supply; a KVM switching table in the man-machine interaction module is used for supporting a user to switch among a plurality of computing nodes through a keyboard or a mouse; the scheduling and modeling module is used for performing three-dimensional modeling on the target area according to the image data; and the environment adaptation module is used for carrying out real-time monitoring and intelligent regulation and control on the internal environment temperature and humidity of the integrated case unit. According to the method, rapid generation and result export of the three-dimensional model of the target area are realized through a closed-loop process of data acquisition by the unmanned aerial vehicle, cluster node parallel calculation and local aggregation optimization.

The invention discloses a network resource allocation method and device based on 5G Internet of Vehicles, which are used for improving the allocation efficiency and service quality of network resources in an Internet of Vehicles environment. The method comprises the following steps: determining a service priority corresponding to an Internet of Vehicles service according to an obtained Internet of Vehicles service request, the Internet of Vehicles service request comprising vehicle driving data, traffic environment data and service type data; determining network resource reserved data corresponding to the car networking service according to the service priority; and when it is judged that the network is congested, according to the service priority and the network resource reservation data, determining a resource allocation strategy for each Internet of Vehicles service, and according to the resource allocation strategy, performing resource allocation for the Internet of Vehicles service.

This disclosure proposes a short packet communication method for UAV relay systems based on NOMA technology. The method includes the following steps: establishing a system model of the UAV relay system, which includes a control terminal, UAVs, and multiple target users; short packet communication transmission between the control terminal, UAVs, and multiple target users based on NOMA technology; and, based on the system model, jointly optimizing the total data packet length, UAV flight position, and UAV power allocation in the short packet communication transmission to obtain the minimum effective packet error rate for the target users. The method proposed in this disclosure can effectively reduce the communication latency of short packet transmission in UAV relay systems and the effective packet error rate at the target users.

This application provides a dual-link switching method and related equipment for remote communication of electricity information collection. The method includes monitoring the interruption of the mobile communication link between the pluggable communication device and the master station to obtain first monitoring data; based on the first monitoring data, in response to determining that the mobile communication link has a communication interruption, switching the mobile communication link to a satellite communication link; monitoring the communication of the mobile communication link with the communication interruption to obtain second monitoring data; based on the second monitoring data, in response to determining that the mobile communication link has resumed communication, switching the satellite communication link back to the mobile communication link after a predetermined time. This solves the technical problem of unreasonable communication link switching using existing concentrators in the prior art, and ensures stable communication between the substation and the master station.

The invention discloses a distributed lease management method and system, a storage medium and electronic equipment, relates to the technical field of storage management, is used for a client layer, and comprises the steps that under the condition that a file operation request is received, a lease request is sent to a node layer, and the lease request is used for indicating a target lease of a target file corresponding to the file operation request; after a target lease sent by a node layer is received, the target file is accessed in a storage system according to the target lease, the node layer corresponds to at least one client layer, and under the condition that the target lease conflicts with a reference node layer, the node layer accesses a cluster layer, and under the condition that the node layer receives an authorization instruction sent by the cluster layer, the target file is accessed in the storage system according to the authorization instruction. And the node layer sends the target lease. The technical problem that a distributed file system in the related technology is low in resource utilization rate is solved, and the technical effect of improving the resource utilization rate of the file system is achieved.

This invention proposes a large-model-assisted anti-interference communication method for embodied intelligent agents, relating to wireless communication, embodied intelligence, and network security. Deployed in the controller of an embodied intelligent system, this method optimizes the bidirectional communication strategy of the embodied intelligent agent using reinforcement learning based on communication environment features, interference characteristics, and motion states extracted from the large model. Based on the sensory data such as images and videos sent by the embodied intelligent agent, the large model identifies environmental features such as the types and coordinates of people and vehicles around the agent. Building upon this, and combining information such as received interference intensity, channel gain, and the motion state of the embodied intelligent agent, the uplink transmission power and channel for transmitting multimodal sensory data, as well as the downlink transmission power for the controller to transmit control commands, are optimized. This method improves the success rate of embodied intelligent agent grasping tasks, reduces communication latency and energy consumption, and supports applications such as parts sorting, human-machine collaborative assembly, and multi-target grasping and placement.

The application discloses an IP bridging method and system based on star flash SLE, belongs to the technical field of short-distance wireless communication and Internet of Things, and aims at the problems of complex multi-connection management, high deployment cost of heterogeneous network intercommunication of the existing low-power wireless IP scheme.The center device is configured as an access point role, the mapping relationship between terminal MAC addresses and connection identifiers is maintained through a connection management list, a unique SLE virtual network interface is created in an IP protocol stack, bidirectional data forwarding of a single interface to multiple SLE connections is realized, a data link layer bridging channel of SLE and WiFi can be further established, and two-layer transparent forwarding is realized.The application can simplify multi-device access management logic, reduce networking complexity, and improve the efficiency and compatibility of low-power terminal IP access.

This invention provides a battery pack locking / unlocking system and method for battery swapping stations. The system includes: a locking / unlocking platform; a locking / unlocking device disposed on the platform for locking / unlocking the battery pack of a battery swapping vehicle; a camera device retractably disposed on the platform, positioned between the battery pack and the vehicle body when extended from the platform, to capture images showing the locking state of the battery pack and the vehicle body; and a cloud server connected to the camera device and the platform, used to compare the images captured by the camera device with pre-stored images to determine if the locking state of the battery pack and the vehicle body is normal, and to send a normal locking / unlocking command to the locking / unlocking device after determining that the locking state is normal. This invention can accurately determine whether the battery pack lock body is properly installed between the battery pack and the vehicle body while reducing the time required to capture valid images.

The present application relates to the technical field of Internet of Vehicles data sharing, in particular to an Internet of Vehicles data sharing method and system based on two-layer blockchains. The method determines suitable vehicles as proxy nodes, verification nodes and data nodes by a trusted agency, the data nodes receive data sensing tasks, collect and train data information according to the data sensing tasks, obtain data models, re-sign the data models, send the signed data models to the proxy nodes, the proxy nodes process the signed data models to obtain data blocks to be verified and send them to the verification nodes, the verification nodes verify the data blocks according to a consensus mechanism and send the results back to the proxy nodes, the proxy nodes generate sharded blockchains according to the verification results, the roadside units verify the validity of the sharded blockchains and add them to global blockchains. The present application improves the scalability and data throughput of the Internet of Vehicles system, improves the security of data sharing and reduces communication delay.

The application relates to the technical field of digital power supply control, in particular to a micro-grid digital power supply system, which comprises a multi-dimensional data acquisition module, an adaptive weight analysis module, an energy scheduling decision module and an execution feedback module. Through the cooperation of the multi-dimensional data acquisition module and the adaptive weight analysis module, panoramic perception of the operation state of the micro-grid is realized, the dynamic weight matrix is used to replace the traditional fixed threshold, the energy scheduling decision module can adjust and optimize the priority according to the real-time working condition, so that the optimal balance of energy distribution is realized in the complex scene of multi-energy fluctuation, and the response real-time performance and resource consumption efficiency of the system are significantly improved.

This application relates to a hardware scheduling device, task scheduling method, system, chip, and electronic device. The hardware scheduling device includes on-chip memory, multiple hardware processing units, and an arbitrator. The multiple hardware processing units are all connected to the on-chip memory and are used to read scheduling instructions from the on-chip memory and send scheduling instructions. The scheduling instructions are used to schedule a subsystem in an image signal processor, so that the subsystem responds to the scheduling instructions and processes the corresponding task. The arbitrator is connected between each hardware processing unit and the image signal processor, and is used to arbitrate the scheduling instructions received simultaneously from each hardware processing unit, determine the target scheduling instruction, and send the target scheduling instruction to the image signal processor via a transmission bus. Using the above-mentioned hardware scheduling device, the entire scheduling process is completed in hardware, the scheduling delay has a high degree of determinism, effectively reducing the communication delay of signal reception and transmission, and meeting the requirements of real-time tasks.

The invention provides a communication method, an instrument and a storage medium. The communication method is applied to an instrument, and comprises the following steps: receiving downlink data sent by a target server; the downlink data comprises a target server internet protocol IP address and a target terminal IP address; determining a target tunnel endpoint identifier TEID based on configuration information, the target server IP address and the target terminal IP address; the configuration information comprises one or more groups of associated information, and each group of associated information comprises a terminal IP address, a server IP address and a TEID; and sending the downlink data to the target terminal through the target TEID. According to the communication method, the instrument and the storage medium provided by the invention, the instrument determines the target TEID communicating with the terminal based on the configuration information, communication between the terminal and the server can be realized without forwarding of a core network, and the communication time delay between the terminal and the server is reduced.

The invention discloses a wireless networking method of a power system, the power system, equipment and a medium, and belongs to the technical field of wireless communication. The method comprises the following steps: receiving and analyzing a networking message by target power equipment, and determining direct sending equipment and initial sending equipment of the networking message; wherein the target power equipment is any power equipment in the power system, and the direct sending equipment is power equipment capable of directly performing WiFi communication with the target power equipment in the power system; and if the initial sending equipment does not exist in the target networking equipment set of the target power equipment, adding the initial sending equipment into the target networking equipment set of the target power equipment, and marking the direct sending equipment in the target networking equipment set as forwarding equipment to the initial sending equipment. According to the invention, through networking construction among the devices, additional deployment of complex networking control devices is not needed, the data transmission path is shortened, the transmission delay caused by multi-hop forwarding is reduced, and the communication efficiency of the power system is improved.

The application provides a blind detection method and user equipment for a 5G wireless communication system, which comprises the following steps: S1, acquiring configuration information of a control resource set and configuration information of a corresponding search space, and determining a candidate PDCCH set composed of multiple candidate PDCCHs according to the configuration information of the control resource set and the configuration information of the corresponding search space, wherein each candidate PDCCH contains at least one control channel element; S2, performing centralized symbol level processing on the control resource set according to the configuration information of the control resource set, so as to extract soft bit information of subcarrier positions related to the candidate PDCCH set at one time, and form a soft bit information library required for current blind detection; and S3, selecting a candidate PDCCH from the candidate PDCCH set by using a pre-set selection rule to perform blind detection, wherein blind detection is performed according to the frequency domain resource block corresponding to the control channel element contained in the candidate PDCCH, and the soft bit information of the subcarrier positions of the corresponding frequency domain resource block is obtained from the soft bit information library to perform blind detection.

The embodiment of the invention provides a communication method applied to a hardware virtualization system. According to the system, two partitions for operating a first operating system and a second operating system respectively are isolated through a virtual machine monitoring program, and a first equipment file for a user program of the first operating system to access is created based on a shared memory. The method comprises the following steps: mapping the shared memory to an address space of a user program through the equipment file, so that the user program can directly read data written into the shared memory by the second operating system, or directly write the data and notify the second operating system to read the data. According to the scheme, intervention of a kernel of the first operating system is avoided, and data copying and context switching between a kernel mode and a user mode are eliminated, so that communication delay is remarkably reduced, throughput is improved, and efficient communication among different operating systems is realized.

The invention provides an alternating-current power supply parallel operation communication control method, device and equipment and a storage medium, and relates to the technical field of power supplies, and the method comprises the steps: dividing a plurality of single-phase alternating-current power supply modules into a host or a slave through a first control sub-module in combination with configuration parameters; generating a handshake request signal through a second control sub-module of the host, and sending a handshake request to the second control sub-module of any slave connected with the host by using the Type-C parallel operation line; forwarding the handshake request by using a Type-C parallel operation line through a second control sub-module of the slave, and judging whether the host forms a handshake closed loop with all the slaves or not through a second control sub-module of the host; and if yes, performing data communication control through a second control sub-module of the host and a second control sub-module of the slave according to the combination mode and the phase mode of the alternating current power supply parallel operation system. The alternating current power supply parallel operation communication effect is improved through the alternating current power supply parallel operation system.

The utility model belongs to the technical field of automobile door locks, and discloses a door lock locking piece driving device, a door lock and a vehicle, the door lock locking piece driving device comprises a motor, a microswitch and a transmission mechanism, the microswitch is connected with the motor in parallel, and the microswitch is configured to enable the motor to be short-circuited and braked when being closed; the output end of the motor is in transmission connection with the input end of the transmission mechanism, and the output end of the transmission mechanism is provided with a locking position enabling the locking piece to lock the spring bolt and an unlocking position enabling the locking piece to unlock the spring bolt. The output end of the transmission mechanism is connected with an extrusion part, and when the output end of the transmission mechanism is located at the locking position, the extrusion part can act on the microswitch, so that the microswitch can be in a closed state. According to the door lock locking piece driving device, the door lock and the vehicle, the braking efficiency is high, the braking performance of the lock body is improved, and the safety coefficient is increased.

The application belongs to the field of home energy management, and relates to an energy management method and system based on sparse federated reinforcement learning, comprising: collecting local energy consumption information at each time step, and receiving real-time electricity price information from a power company; constructing an initial energy management model, and training the initial energy management model to obtain a final energy management model; based on the energy consumption information and the real-time electricity price information, executing an intelligent energy management algorithm through the energy management model to obtain an energy management strategy; generating control instructions for installed household devices through the energy management strategy, and managing the installed household devices through the control instructions; fundamentally solving the memory bottleneck problem of edge devices, realizing the localization deployment of complex algorithms, significantly reducing the communication overhead of federated learning, and improving the system training efficiency and stability.

This invention belongs to the field of integrated circuit design and microarchitecture technology, and provides a high-bandwidth AI computing chip based on the Chiplet chip architecture and its acceleration method. The method constructs a hardware-enforced data closed loop including read and adaptive prefetching steps, data format rearrangement and inversion steps, systolic tensor calculation triggering steps, bandwidth prediction and allocation steps, dynamic data stream scheduling steps, full-reduce parallel communication steps, and pipeline bubble elimination steps. The memory access acceleration engine outputs prefetched key-value cache data blocks and unformatted weight data blocks through an adaptive prefetching algorithm; the tensor rearrangement engine performs address mapping inversion operations to output column-major weight tensors; the systolic array performs point accumulation and addition operations to generate transmission request trigger signals; and the dynamic bandwidth allocation module outputs predicted bandwidth allocation instructions based on an exponentially weighted moving average algorithm. This invention significantly reduces communication latency, eliminates pipeline bubbles, and improves energy efficiency at the physical level.

The invention provides a convolutional neural network inference method based on a core grain architecture, and the method comprises the steps: S1, obtaining to-be-processed data and a pre-trained convolutional neural network, and S2, distributing a mapping region for each network layer in the core grain architecture according to a graph division strategy; s3, segmenting the feature map and the weight tensor corresponding to each network layer into a plurality of feature blocks and a plurality of weight blocks, and sequentially distributing the plurality of weight blocks corresponding to each network layer to a plurality of calculation units in the corresponding mapping area, determining a loading sequence of transmitting each feature block corresponding to each network layer to different computing units in the corresponding mapping region to obtain an initial mapping scheme of the convolutional neural network; s4, performing multi-round iteration on the initial mapping scheme to obtain a target mapping scheme; and S5, based on the target mapping scheme, loading the convolutional neural network to a calculation unit corresponding to the core particle architecture to realize reasoning of the to-be-processed data.

The application discloses a near field communication integrated control system and method, an electronic device and a storage medium. The system comprises a mainboard running an Android operating system, a single-chip microcomputer connected to the mainboard through a serial port, and a first near field communication controller integrated on the single-chip microcomputer. The mainboard is configured to provide an operation interface to an upper-layer application through a Java native interface, and the operation interface is used for directly controlling the first near field communication controller through the serial port. The application integrates the first near field communication controller on the single-chip microcomputer and connects the single-chip microcomputer to the mainboard through the serial port, so that the mainboard can directly provide the operation interface to the upper-layer application through JNI without the need of communication through a Socket, thereby reducing communication delay and improving the stability of near field communication control.

The application discloses a data processing method of a cluster file system and electronic equipment, and relates to the technical field of computers, which comprises the following steps: receiving a data processing request, the data processing request being processed by a first node in a plurality of nodes of a cluster file system, the plurality of nodes being used for managing a plurality of storage spaces in the cluster file system; determining a first identifier in the data processing request and a type of the data processing request; determining a first thread in a plurality of thread pools of the first node according to the type of the data processing request and the first identifier; and processing the data processing request according to the first thread. In the method, the plurality of nodes are used for managing the plurality of storage spaces in the cluster file system, the data processing request can be dispersed to each node for independent processing, communication delay caused by frequent contention for global locks and other resources among the nodes can be reduced, and therefore the response speed of the cluster file system is accelerated.

The invention discloses a method for a communication module to lightly and safely receive a cloud AT instruction and related equipment. The method for the communication module to lightly and safely receive the cloud AT instruction comprises the steps of dynamically determining whether to use a security protocol to communicate with a communication operation maintenance platform or not based on the type of the AT instruction issued by the communication operation maintenance platform; or deciding whether to use a security protocol to communicate with the communication operation maintenance platform or not based on the network environment. According to the invention, when the AT instruction received by the communication module is a non-control instruction or the communication module accesses the communication operation maintenance platform through the intranet IP address, the communication module does not use a security protocol to communicate with the communication operation maintenance platform; according to the invention, handshake during establishment of secure connection by using a security protocol and processing duration and computing resources required by encryption and decryption operation in a data transmission process are reduced, and communication time delay and power consumption of the Internet of Things terminal are remarkably reduced while communication security is ensured.

This application relates to the field of rail transit and to a train wireless communication system, comprising: a train-level network management unit and a vehicle-level network management unit; the vehicle-level network management unit is connected to and communicates with other vehicle-level network management units and / or train-level network management units in the same train formation; the train-level network management unit obtains its own location information through wireless communication; establishes communication with the train-level network management units of the train formation to be networked, sends its own vehicle information and location information to the train-level network management units of the train formation to be networked, and receives the vehicle information and location information of the train-level network management units of the train formation to be networked; generates a train-level network communication node sorting table based on its own and the vehicle information and location information of the train-level network management units to be networked; and implements train-level addressing function according to the train-level network communication node sorting table, thus solving the problem of multi-train communication reconnection using wireless communication technology.

The invention provides an intelligent conference room network cabling planning method and system and a storage medium, and the method comprises the steps: representing a network QoS index and a security isolation level as a service demand vector through obtaining the topology and service demands of a conference room, and combining a priority vector generated based on the service importance, thereby achieving the network cabling planning of the conference room. Calculating a path penalty coefficient of each wiring path in the constructed network topological graph, performing VLAN initial division according to the security level, constructing a cost function including comprehensive wiring cost, switch port balance degree and cross-VLAN communication overhead, configuring the weight by a service priority vector, solving the function through iterative optimization, and performing VLAN initial division according to the security level. And solving the wiring scheme and predicting the flow based on the current VLAN division in each iteration, if equipment pairs with overlarge flow among VLANs exist, merging the equipment pairs to update the division until stable division is obtained, and generating the comprehensive wiring scheme comprising cable routing, port allocation and VLAN configuration according to the stable division.