110results about How to "Reduce communication delay" patented technology

The invention discloses a communication data processing system and method based on edge computing, and belongs to the technical field of data processing.The method specifically comprises the steps that communication data on edge nodes are obtained, the obtained communication data are preprocessed, the preprocessed communication data are layered and filtered, and the data are obtained; the method comprises the following steps of: partitioning and compressing layered and filtered communication data, optimizing a transmission path and a transmission mode of the data by adopting an intelligent routing strategy to obtain an optimal transmission path, and cooperatively processing the data of a plurality of edge nodes by using distributed calculation among the edge nodes to obtain an optimal transmission path. Data processed by the edge nodes are uploaded to the center node for aggregation, and analysis results are generated and fed back to the edge nodes; according to the invention, the resource allocation is dynamically adjusted according to the actual computing power and the load condition of each edge node, and the waste of resources is avoided.

The invention relates to a multi-robot cooperation method and device, electronic equipment and a storage medium, belongs to the technical field of robot control, and is used for performing cooperative control on multiple robots based on a constructed MRVCC model. The MRVCC model comprises a virtual centroid module, a consensus algorithm module and a hierarchical strategy control module; the multi-robot cooperation method comprises the following steps: constructing a virtual centroid node shared by multiple robots based on a virtual centroid module, planning behaviors of the multiple robots based on the virtual centroid node, generating a multi-robot formation, and obtaining formation information; the behaviors of the multiple robots are coordinated based on formation information and a consensus algorithm module, and a minimum formation accumulated error is obtained; and the states of the robots in the multi-robot formation are determined, and based on the states of the robots, a hierarchical strategy control module is adopted to execute various kinds of strategy control, so that multi-robot collaborative formation and obstacle avoidance targets are completed.

The invention provides an Internet of Vehicles trust management method and system based on a block chain, and the method comprises the steps: dividing intelligent networked vehicles running on a road into a plurality of vehicle groups according to a preset region coverage range, calculating a group trust value set of vehicles in each group in a node dimension and a trust value offset set and a vehicle message score set in a message dimension in a vehicle group form, and calculating a global trust value and a total trust value offset amount of each vehicle in different vehicle groups based on the group trust value set, the trust value offset set and the vehicle message score set; carrying out weighted summation to obtain a comprehensive trust value of each vehicle; comparing a preset warning trust threshold value with a malicious trust threshold value based on the comprehensive trust value, and endowing each vehicle with a vehicle label; and performing communication management on the corresponding vehicle based on the vehicle management rule matched with the vehicle label. According to the invention, malicious nodes in the network can be effectively identified and processed in real time, the trust value is prevented from being maliciously tampered, the communication delay is reduced, the network load is reduced, and the vehicle privacy is protected.

The invention relates to the field of remote management of parking locks, in particular to an intelligent parking lock remote management method and system based on Bluetooth communication. The method comprises the following steps: acquiring an intelligent parking lock operation log and an intelligent parking lock real-time Bluetooth connection state parameter; according to the intelligent parking lock operation log, user personalized behavior habit evolution is carried out, user portrait modeling is carried out, and an unlocking behavior portrait of each user is constructed; based on the unlocking behavior portrait of each user, real-time user behavior abnormal deviation quantification and abnormal parking lock use decision making are carried out on the intelligent parking lock real-time Bluetooth connection state parameters, and an abnormal parking lock early warning strategy is generated; when the real-time user behavior abnormal deviation value does not exceed a preset behavior deviation threshold value, triangulation positioning distance measurement and user accurate positioning calculation are conducted on the intelligent parking lock real-time Bluetooth connection state parameters, and real-time position coordinates of the user are obtained. According to the invention, safe and efficient remote management of the parking lock is realized.

The invention relates to the technical field of computer data management, and discloses a data management method and system capable of reducing computing power occupancy, and the method comprises the steps: S1, based on data distribution analysis, employing a sparse representation algorithm and a principal component analysis method, carrying out the operation elimination of the redundancy of high-dimensional data features through setting an L1 regularization constraint condition, and obtaining an L1 regularization constraint condition; decomposing the data correlation matrix in combination with a matrix operation mode, extracting feature vectors with top-ranked contribution values, and converting the feature vectors into a sparse low-dimensional matrix; and generating a sparse low-dimensional data matrix. Through combination of sparse representation and principal component analysis, L1 regularization is creatively applied to perform feature screening on high-dimensional data, redundant data items are removed, and principal component features with high correlation are extracted, so that the data dimension is effectively reduced, consumption of computing resources is reduced, and meanwhile, main information features of the data are reserved; the efficiency and accuracy of subsequent processing are improved, and distributed scheduling of tasks and efficient utilization of equipment computing power are realized.

The invention discloses a distributed collaborative modularized rapid detection method and device for a box-type substation, and the method comprises the following steps: enabling each distributed module to judge whether the distributed module has a fault possibility or not based on collected operation data; the distributed module with the fault possibility initiates an abnormal signaling; after the other distributed modules receive the abnormal signaling, whether correction characteristic parameters of the other distributed modules are filled in corresponding positions in the abnormal signaling or not is confirmed, and the abnormal signaling is sequentially transmitted among all the other distributed modules; and summarizing all the obtained correction characteristic parameters, calculating a posterior fault probability by the distributed module which initiates the abnormal signaling, and judging that a fault exists when the posterior fault probability exceeds a set threshold value. According to the distributed architecture, the bottleneck of a centralized system is avoided, the modules are processed in parallel, and the detection efficiency is improved. Through the feature correlation model, interference of redundant information is avoided, and the accuracy of fault judgment is improved.

The invention provides an emergency communication network generation method, a terminal device and an electronic device, the method is applied to a first node device in a wireless communication network, and when the communication of the wireless communication network is interrupted due to unforeseen circumstances, each node device monitors a neighbor node list broadcasted by other node devices to generate an emergency communication network. And comparing the received neighbor node list with the neighbor node list of the local machine, determining cluster head equipment, and forming a corresponding target communication cluster by taking the cluster head equipment as a central control node. And the cluster head device sends a cluster establishment message to the effective neighbor node in the neighbor node list, the effective neighbor node adds to the target communication cluster as the identity of the cluster member based on the received cluster establishment message, and finally each cluster member device carries out data receiving and sending according to the unified scheduling information sent by the cluster head device. Therefore, each node device can quickly form a communication cluster and then quickly recover communication according to the unified scheduling information sent by the cluster head device.

The invention relates to the technical field of 5G communication modules, in particular to a 5G communication module with a self-adaptive frequency spectrum and a use method of the 5G communication module. Comprising a spectrum sensing and identification module, a spectrum measurement and reconstruction module based on compressed sensing, a self-adaptive spectrum selection and dynamic spectrum allocation control module, a dynamic channel modeling and prediction module, a comprehensive optimization algorithm module and a feedback-assisted channel estimation control module. Wherein the spectrum sensing and recognition module adopts a deep learning algorithm to improve the precision and speed of spectrum sensing, and meets the requirements of 5G high data rate and low delay; the specific implementation mode comprises a convolutional neural network (CNN) structure, the convolutional neural network is adopted for spectrum sensing, and the spectrum state can be accurately and rapidly recognized in a complex dynamic environment; by training a large amount of spectrum data, the CNN can extract spectrum features and effectively distinguish target signals and interference signals, and the precision and speed of spectrum sensing are significantly improved.

The present invention relates to the technical field of low-power AI processors, and discloses a load balancing method, chip and storage medium of a low-power AI processor, the method comprising: partitioning cache resources for multiple neuromorphic cores in a low-power AI processor to obtain a double-layer cache structure; performing characteristic analysis on a target computing task, and constructing a directed acyclic graph of computing tasks and a dependency strength matrix; performing task segmentation to obtain a subtask partitioning scheme; creating a task-core mapping table; based on the task-core mapping table, organizing the neuromorphic core into multiple concentric ring layers to obtain a multi-layer ring collaborative computing network; based on the multi-layer ring collaborative computing network, calculating multiple performance indicators of each neuromorphic core, and performing dynamic load optimization to obtain a dynamic load optimization strategy. The present invention realizes load balancing of a low-power AI processor, and improves computing efficiency and energy utilization.

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 is suitable for the technical field of communication fusion, and particularly relates to a wireless and wired fusion data center interconnection structure, device and method. The cellular network clusters are connected through optical fiber links, each cellular network cluster is composed of a plurality of cellular units, and the cellular units in the same cellular network cluster are interconnected in a wireless link mode. By building a wireless free space optical communication link, direct interconnection between cellular units in the same cellular network cluster is realized, the routing hop count is reduced, the communication time delay is reduced, the flexibility and efficiency of network interconnection are greatly improved, and by combining the optical fiber, the communication efficiency is improved. The high stability and the anti-electromagnetic interference capability of the optical fiber can be fully utilized, a flexible redundant path can be provided for a wireless free space optical communication link, and the continuity and the reliability of communication can still be kept when a wired link is blocked.

The invention relates to the technical field of power systems and communication, and discloses an intelligent power grid data transmission system and method of a narrowband Internet of Things, and the system comprises a network coverage enhancement module, a low-delay data processing module, a low-power-consumption management module, and an intelligent load management and data analysis module. The method and the device are used for realizing the stability of data transmission in a signal-limited environment. By introducing the multi-network hybrid transmission architecture and deploying the intelligent antenna and the small base station, the signal coverage range and the transmission stability can be remarkably improved in a signal limited or complex environment, and the multi-network hybrid transmission architecture can determine an optimal network according to real-time signal quality, delay and packet loss probability, so that the stability and the reliability of data transmission are ensured, and the data transmission efficiency is improved. The beam forming of the intelligent antenna and the optimized arrangement of the small base station effectively solve the problem that the signal of the traditional NB-IoT is weak in a building dense area or a remote area by improving the signal gain and the coverage depth.

The invention relates to a data security sharing method based on an alliance chain, and belongs to the field of data security. According to the method, a decentralized alliance chain network is constructed, so that the vulnerability of a centralized architecture is eliminated. Meanwhile, a linear secret sharing LSSS and a ciphertext policy attribute encryption CP-ABE algorithm are adopted, a safe and flexible access control mechanism is provided, and complex data access policy definition and efficient permission verification are allowed. Besides, due to the introduction of interoperability of the alliance chain nodes, safe and seamless exchange of data and assets among different block chain networks is allowed, data islands are broken, and information sharing and business collaboration are promoted. Besides, an innovative consensus mechanism and a treatment strategy are designed, so that the operation efficiency of the system is improved, and the cooperation of network participants and the tamper-resistant capability of the system are enhanced. According to the invention, the communication delay is obviously reduced, and the data processing speed is improved.

The invention relates to the technical field of medical equipment state monitoring, and particularly discloses a medical equipment service state intelligent monitoring system and method based on big data, and the method comprises the steps: collecting medical data through mother medical equipment, transmitting the medical data to child medical equipment, and presetting the to-be-transmitted time of the mother medical equipment corresponding to the to-be-transmitted medical data; predicting receiving time when the child medical equipment receives the corresponding to-be-sent medical data from the mother medical equipment; whether data transmission delay exists between the child medical equipment and the mother medical equipment is judged; and if the data transmission delay exists, the equipment operation parameters of the child medical equipment and the mother medical equipment are dynamically adjusted respectively, so that continuously changing network conditions and equipment loads can be adapted, the maximum stability and reliability of the system are kept, the service life of the equipment is prolonged, and the maintenance cost is reduced. The efficiency and quality of medical services are improved, and the trust and satisfaction of patients to medical institutions are enhanced.

The invention discloses an Internet of Things networking method and system based on a star flash technology and an open source gap system, and the method comprises the steps: installing the open source gap system for a plurality of target devices needing the networking of the Internet of Things, and configuring a star flash communication module for supporting the star flash protocol communication between the devices; analyzing function requirements, performance requirements and expected communication scenes of each target device in Internet of Things networking, and formulating a unified communication protocol and data format; performing Internet of Things networking on a plurality of target devices which are provided with the open source gap systems and configured with the star flash communication modules to obtain an Internet of Things network platform, and testing the Internet of Things network platform; and when the test of the Internet of Things network platform meets the requirements, controlling a plurality of target devices in the Internet of Things network platform to communicate according to a unified communication protocol and data format. According to the invention, the networking flexibility and efficiency of the Internet of Things are improved.

The invention relates to the technical field of carbon management, in particular to a carbon metering terminal based on edge intelligent collaboration, and the terminal comprises a model partition updating module which constructs a carbon metering model based on carbon emission data collected in real time according to the carbon emission data, and generates carbon metering information after partition optimization by adjusting and dividing the carbon metering model. According to the invention, through real-time acquisition and partition optimization of the carbon emission data, in combination with an extraction mode of time sequence features and statistical features, the precision and efficiency of carbon emission prediction are significantly enhanced. In a data processing process, abnormal data and repetitive data are effectively eliminated by establishing a filtering threshold range, so that the data quality is improved, and the interference of low-efficiency data on subsequent analysis is avoided. In collaborative optimization of the edge nodes, communication delay and resource waste among the nodes are reduced by means of dynamic weight adjustment and path optimization, and the transmission efficiency and the collaborative effect are improved.

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 invention relates to the technical field of intelligent fusion terminals, and particularly discloses a test system for an intelligent fusion terminal of a power distribution network, which is used for solving the problems of single data source, simple rule judgment, insufficient utilization of wind power intermittent characteristics and multi-source information and lagging regulation and control capability in the transient process of rapid change of wind power output in the prior art. The wind power output parameters and the wind power fluctuation parameters output by the wind turbine generator in the monitoring time period are acquired in real time, the wind speed data flow and the wind direction data flow in the wind power output parameters are acquired, and the wind power interference factor calculation model is constructed based on the wind speed data flow and the wind direction data flow to calculate the wind power interference factor. By extracting the wind power output parameters and the wind power fluctuation parameters, constructing the hierarchical model, generating the wind power output simulation power value and judging whether the wind power fluctuation is normal or not, the adaptability and reliability of the power distribution network when the wind power output changes rapidly are improved.

The present application provides a communication scheduling method for a control core MCU and a computing core MPU, which utilizes the on-chip high-speed bus and on-chip cache of a SOC chip to improve the communication effect between the control core MCU and the computing core MPU, and accesses a CP agent on the MCU core and an AP agent on the MPU core to control the communication between the CP application on the MCU core and the AP application on the MPU core; sets the concurrent access priority of the CP application and the AP application to the on-chip cache, and sets the concurrent access priority of the CP agent and the AP agent according to the concurrent access priority of the CP application and the AP application; wherein the CP agent and the AP agent are used to monitor, cache and forward the service requests and service results generated by the CP application and the AP application in scheduling. This improves the communication bandwidth and communication reliability between the CP application and the AP application of intelligent connected vehicles, while reducing the communication load in the existing vehicle body network and reducing communication delay.

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 field of relay protection device debugging, and provides a relay protection debugging synchronous triggering device and method, which are characterized in that a triggering signal simulation module and a touch module are positioned in the same clock source through a clock module, so that the debugging accuracy is improved; three modes of timing triggering, synchronous triggering and external signal triggering are supported, and the test requirements of multiple scenes can be met. The multi-channel synchronous triggering module is used for distributing signals to the corresponding tentacle modules; the tentacle module can respectively control the connection / disconnection of an input terminal of the relay protection device, the connection / disconnection of a port of the relay protection tester and the disconnection of the air switch according to an application scene; the control module can receive and process a feedback signal and calculate an action time difference in real time; and automatic fault detection and standby module switching are realized, so that the fault module can be quickly isolated and the standby module can be started. The method can solve the problem that protection logic action conditions are difficult to synchronize due to scattered operation sites of a substation site, and can replace manual work to realize remote cooperation and maximize synchronization.

The invention relates to a satellite phased array hopping beam uplink resource allocation method based on a genetic algorithm, and belongs to the technical field of satellite communication. The method comprises the following steps: defining an objective function of a satellite phased array hopping beam uplink resource allocation problem, performing grid division on a satellite phased array hopping beam uplink resource pool, and performing coding; setting genetic individuals, wherein each individual comprises a cell division code and a carrier group division code; performing population initialization; setting a fitness function of grid division of each resource pool; selecting individuals to be reserved through random sampling to complete coding selection; performing crossover and mutation operations; and iteration is performed until the process is finished. According to the invention, the terminal and cell management of the phased array uplink beam based on the genetic algorithm is realized, and the cache queue length of each terminal in the satellite phased array hopping beam uplink can be effectively reduced, so that the communication delay is reduced, and the throughput of the network is improved.

The invention discloses a superposition method and device for improving PLC bandwidth of a computing network host, and relates to the technical field of computing network hosts, and the method comprises the steps: in a hardware level, the computing network host employs a plurality of PLC modules to work in parallel, each PLC module carries out data transmission independently, and the plurality of PLC modules are combined to form a composite communication network; in the software level, the computing network host manages data traffic distribution among the PLC modules through a dynamic routing algorithm; the dynamic routing algorithm automatically adjusts the data flow direction based on the current network state of each PLC module so as to realize load balancing. Through a multi-module superposition technology of a hardware level and a dynamic routing algorithm of a software level, more efficient data transmission is realized, communication delay in a large-scale networking environment is reduced, user experience is improved, and response speed and stability of the intelligent home system are enhanced.

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.

The invention provides a preparation method of a semiconductor structure, the semiconductor structure, a device and equipment, and the method comprises the steps: forming a first semiconductor structure on a substrate, the first semiconductor structure at least comprises a first active structure and a second active structure, and the first active structure is far away from the substrate relative to the second active structure; forming a complementary metal oxide semiconductor (CMOS) transistor based on the first active structure; performing wafer reversing on the CMOS transistor, and exposing the second active structure; based on the second active structure, a memory cell is formed, and a channel of a transistor in the memory cell is a curved channel. According to the invention, homogeneous integration of the CMOS circuit with a logic function and the memory unit with the curved channel can be realized, and the curved channel can increase the equivalent gate length, so that electric leakage is reduced, the retention time is prolonged, and the power consumption is reduced.

The embodiment of the invention provides a communication method and device, electronic equipment, a storage medium and a program product. The method is applied to a first terminal device and comprises the steps that at least one plaintext frame corresponding to voice data is determined, and the length of the plaintext frame is the encryption length corresponding to a preset symmetric encryption algorithm; performing encryption processing on each plaintext frame through the preset symmetric encryption algorithm to obtain at least one initial ciphertext frame, and adding a plurality of corresponding frame identifiers in each initial ciphertext frame to obtain at least one target ciphertext frame; and sending the at least one target ciphertext frame to a second terminal device. The method can reduce the communication delay.