64 results about "Data transfer scheduling" patented technology

The invention discloses a data interaction method between industrial control systems of a DCS (Distributed Control System). The method comprises the following steps of 1, data acquisition and preprocessing, 2, data identification and classification, 3, data encryption and compression, 4, data transmission scheduling, and 5, data decryption and restoration. A self-adaptive data interaction frequency adjusting module arranged in each industrial control subsystem can automatically adjust the data interaction frequency according to the actual operation state of each control link in the subsystem, so that the data interaction frequency is tightly matched with the production requirement, the conditions of data congestion or incapability of meeting the real-time requirement and the like are avoided, and the production efficiency is improved. Compared with a traditional mode of fixed data interaction frequency, the method can better adapt to complex and changeable industrial production working conditions, and the flexibility and robustness of the whole industrial control system are improved.

The invention provides a data transmission scheduling method and device, and the method comprises the steps: adjusting the data transmission rate for a second service in a system kernel based on the time delay information of the first service in response to a data transmission scheduling request for the first service and the second service which are operated by electronic equipment, the first service and the second service share the same network communication equipment of the electronic equipment to perform data transmission with the corresponding external equipment, and the scheduling priority of the second service is lower than the scheduling priority of the first service, so that the data transmission rate is adjusted through the system kernel based on the adjusted data transmission rate; and controlling the network communication equipment to receive respective response data for the first service and the second service, and sending the response data to the first service and the second service through the system kernel based on the respective scheduling priorities of the first service and the second service in a process of responding to respective data sending requests of the first service and the second service. And controlling the network communication equipment to sequentially send request sending data from the services belonging to the corresponding scheduling priorities so as to change the time delay information of the first service.

Disclosed in the present application are a data transmission scheduling method, a data transmission scheduling apparatus, an electronic device and a computer-readable storage medium. The method comprises: acquiring the priority of each sequence transmission task, and dividing each sequence transmission task into a priority queue corresponding to the priority thereof; determining a slot that corresponds to each priority queue and is in a current transmission period; and controlling each sequence transmission task to be executed in a slot corresponding to the priority queue to which the sequence transmission task belongs. By means of the solution in the present application, transmission tasks having different priorities can be rationally scheduled.

The invention discloses an efficient acquisition and processing system for safety production monitoring data of an electric power steel structure, and the system comprises a space-time sparse sampling module which analyzes the spatial distribution density of monitoring points of the electric power steel structure and the time domain characteristics of vibration signals, generates a dynamic sampling strategy, and carries out the acquisition operation through distributed sensing nodes; and the data transmission scheduling module encapsulates data according to a Predict Steel Core pre-research platform protocol, and performs directional transmission by adopting a time division multiplexing mechanism. The physical information prediction module imports an explicit time-domain physical information dynamic response prediction model and generates state prediction data in combination with the structure parameters; and the threshold early-warning analysis module loads an online incremental learning dynamic threshold early-warning algorithm to carry out real-time comparison. The platform interaction storage module stores data in a classified mode and provides a calling interface, the control coordination module dynamically adjusts operation parameters and data circulation time sequences of all the modules, efficient operation of the whole link is guaranteed, and the processing efficiency and accuracy of the safety production monitoring data of the electric power steel structure are improved.

The embodiment of the invention discloses a data transfer processing method and device, a storage medium and electronic equipment, and the method comprises the steps: determining a target data buffering demand in a planning period, obtaining initial transmission limit data associated with a plurality of data source nodes, a transaction data transfer rule and data transfer flow information, based on the target data buffer demand, the data transfer pipeline information, the initial transmission limit data and a transaction data transfer rule, executing data transfer task analysis on the transaction transfer request by adopting a target multi-mode large model to obtain a plurality of candidate data transfer execution packets meeting the target data buffer demand, and performing target scheme generation processing on the candidate data transfer execution packet according to a preset data transfer scheme constraint target to generate a target data transfer scheduling scheme for distributing each candidate data packet to different time points in a planning period, so that the intelligent degree of data transfer processing can be improved.

The embodiment of the invention relates to the technical field of computers, in particular to a distributed network architecture construction method and system for port environment monitoring, and the method comprises the steps: dividing a plurality of monitoring sub-regions according to the port region environment monitoring requirements, and deploying a heterogeneous monitoring node set in each sub-region. And performing real-time operation state sensing processing on the node set to generate a target network topology structure. And executing routing protocol generation and data scheduling strategy formulation based on the topological structure to obtain a self-adaptive routing table and a data transmission scheduling rule. According to the tables and the rules, distributed collaborative optimization processing is performed on the nodes, network resource allocation schemes and node task load adjustment instructions are generated, finally, port area distributed network architecture reconstruction is performed through the schemes and the instructions, and the efficiency and the accuracy of port environment monitoring are improved.

A processing node executes one or more applications that are allocated memory of at least one shared memory of one or more memory nodes via a network. Packets including memory messages for memory nodes are enqueued into one or more transmission queues for sending the packets to the memory nodes. Each packet is enqueued into a transmission queue according to the application issuing the memory message included in the packet. One or more time slots of a predetermined time period are assigned to a transmission queue for sending at least a portion of the packets enqueued in the transmission queue within the assigned one or more time slots. At least a portion of the packets from the transmission queue are sent during the one or more assigned time slots. In one aspect, time slots are assigned based on scheduling information from a network scheduling device.

The invention relates to the technical field of communication, in particular to a terminal side data transmission scheduling method and device, equipment, a storage medium and a product, and the method comprises the steps: obtaining an equipment data stream sent by service terminal equipment, carrying out the service type recognition of the equipment data stream, and obtaining a service type recognition result; the method comprises the following steps: firstly, setting a transmission priority for a transmission port corresponding to a device data stream according to priorities corresponding to various services, then, further configuring a corresponding data encapsulation format according to the priority of the transmission port, and finally, forwarding the encapsulated device data stream through the corresponding transmission port. According to the scheme, the data transmission priority is determined according to the service type identification result of the data packet, so that the high-priority service can be preferentially forwarded at the high-priority port, and the data transmission quality of the key service is ensured.

The invention discloses a communication method and a related device, and the method comprises the steps: designing an uplink reference signal (namely a first reference signal), enabling a terminal to transmit the first reference signal for rapid synchronization and / or channel measurement and also for triggering data transmission scheduling when there is a data transmission demand in an energy-saving mode, in this way, rapid data transmission in the energy-saving mode can be achieved through few transmission steps, and the communication performance can be improved.

The invention discloses an edge data transmission scheduling method and system, electronic equipment and a storage medium, and the core of the method is that an intelligent scheduler (an algorithm based on value density evaluation) is deployed in an edge computing node, and the scheduler is used as a data outlet controller and carries out unified evaluation, sorting and scheduling on data before the data is sent to a cloud end; the intelligent scheduler can process edge-side to-be-transmitted data in various forms such as original data, feature data and event reports. The working process of the intelligent scheduler comprises the following three core steps: performing multi-dimensional value evaluation on the edge-side to-be-transmitted data; sensing the network state in real time and estimating the transmission cost; and finally calculating the value density by integrating the value and the cost, and establishing a dynamic priority queue arranged in a descending order according to the value density. And the scheduler controls a network interface of the edge node according to the queue to realize data transmission to the cloud, so that bandwidth resources are intelligently, dynamically and preferentially allocated to the data transmission task with the highest value density.

The present application relates to the technical field of aquaculture, in particular to a multi-source aquaculture data low-latency anti-interference communication method and system for unmanned feeding ship, comprising the following steps: multi-source aquaculture data acquisition; edge data fusion and instruction layered coding encapsulation, real-time fusion processing through a lightweight neural network at the unmanned feeding ship end to generate decision instructions corresponding to the aquaculture event; multi-node anti-interference networking; data transmission scheduling; data reception and state feedback. By deploying a MobileNet-SSD lightweight neural network at the unmanned feeding ship end, the present application realizes edge real-time cross-modal fusion of aquaculture water environment data and feeding state data, combines layered coding design driven by aquaculture events and channel quality change rate adaptive transmission strategy, avoids data redundancy, guarantees complete transmission of key instruction information when channel quality deteriorates, and effectively solves the problem of insufficient data fusion and transmission protocol adaptability.

The application discloses a bit data transmission scheduling method based on 6G space-ground integrated quantum network, a storage medium and equipment, and comprises the following steps: constructing a 6G space-ground integrated quantum communication network; searching for nodes meeting network scheduling task requirements in the quantum communication network, constructing a candidate node set, and screening out a determined best emission node; sending a quantum state to a receiving end through a quantum key distribution protocol at the best emission node, calculating a quantum bit error rate, selecting a candidate relay node from the candidate node set with the minimum quantum bit error rate as the target, and forming a quantum transmission channel; and the quantum transmission channel prepares a quantum key by using an entangled state, generates a random matrix density, generates a ciphertext through the random matrix density, and transmits the ciphertext to the receiving end. The application can reasonably schedule network resources, ensure data security through quantum communication, and the like.

This invention discloses a method for collaborative Earth observation and data transmission scheduling across heterogeneous space platforms. The method employs integer encoding to represent the execution sequence of observation tasks from multiple space platforms, proposes a three-stage decoding strategy to repair infeasible chromosomes, and designs feasible observation time window selection strategies, as well as observation task insertion strategies based on time-based benefits, task urgency, and attitude transition time, to construct an initial chromosome population. Crossover operations are performed on the current population, constructing three neighborhood search operators: inter-platform exchange, intra-platform exchange, and insertion based on relaxation time, to perform local searches on the chromosomes within the current population. The algorithm terminates if the maximum number of iterations or the maximum computation time limit is reached, generating a scheme for collaborative Earth observation and data transmission scheduling across heterogeneous space platforms, providing technical support for space-based Earth observation.

Embodiments of the present application provide a data transmission scheduling method and apparatus, a communication device, and a storage medium. The method can include transmitting a first scheduling instruction to a User Equipment (UE) in a N-th time domain unit, where the first scheduling instruction schedules the UE to transmit uplink data in a (N+K)-th time domain unit, and the N and the K are both natural numbers, and transmitting, between the N-th time domain unit and the (N+K)-th time domain unit, at least one second scheduling instruction to the UE, where the second scheduling instruction schedules the UE to transmit uplink data.

The invention discloses a dual-mode intelligent terminal communication scheduling method and a related device, and relates to the technical field of wireless communication. When the method is in the HPLC communication mode, if the RSSI is smaller than the preset threshold value, the method is automatically switched to the HRF communication mode; after terminal information of a plurality of intelligent terminals is periodically obtained, a terminal action combination is generated through a deep reinforcement learning network DQN; obtaining a concurrent communication terminal combination of the current time slot according to the terminal information; setting a sending power and a CCA threshold corresponding to the concurrent communication terminal combination of the current time slot according to the terminal action combination, and then starting the concurrent communication terminal combination of the current time slot to perform data transmission; and repeatedly executing the steps for the intelligent terminals which are not scheduled until the data transmission scheduling of all the intelligent terminals is completed. The terminal action combination is generated through the DQN, and the optimal sending power and the optimal CCA threshold value are searched for each terminal in the current sending time slot, so that the communication efficiency and the communication success rate are improved.

The present application relates to a kind of multi-unmanned aerial vehicle assisted wireless sensor network data acquisition method, belong to wireless sensor network technical field, comprising the following steps: S1: the maximum data acquisition time of UAV is obtained by dichotomy search method, and within the given time T, using time equal interval discrete technology is dispersed into a finite number of points with unmanned track;S2: according to initialization multi-UAV trajectory algorithm, solve UAV initial trajectory;S3: by the relaxation of binary variable, the original mixed integer non-convex problem is converted into continuous non-convex problem, and based on alternate optimization algorithm, the original problem is decomposed into two subproblems, by alternating iteration until convergence to obtain results, wherein, continuous convex approximation algorithm is used to solve subproblem, obtain UAV trajectory, uplink energy transmission scheduling and downlink data transmission scheduling;Until dichotomy search method result converges, the maximum time of UAV data acquisition is obtained.

The invention discloses a bit data transmission scheduling method based on a 6G space-ground integrated quantum network, a storage medium and equipment. The method comprises the following steps: constructing a 6G space-ground integrated quantum communication network; nodes meeting network scheduling task requirements in the quantum communication network are searched, a candidate node set is constructed, and an optimal transmitting node is screened out and determined; transmitting a quantum state to a receiving end through a quantum key distribution protocol at an optimal transmitting node, calculating a quantum bit error rate, and selecting a candidate relay node from a candidate node set by taking minimization of the quantum bit error rate as a target to form a quantum transmission channel; and the quantum transmission channel prepares a quantum key by using an entangled state, generates a random matrix density, generates a ciphertext from a network scheduling task through the random matrix density, and transmits the ciphertext to a receiving end. According to the invention, through reasonable scheduling of network resources and quantum communication, data security is ensured.

The invention relates to the technical field of aquaculture, in particular to an unmanned feeding ship multi-source aquaculture data low-delay anti-interference communication method and system. Comprising the following steps: collecting multi-source breeding data; edge end data fusion and instruction hierarchical coding packaging are carried out, real-time fusion processing is carried out at an unmanned feeding ship end through a lightweight neural network, and a decision instruction corresponding to a breeding event is generated; carrying out multi-node anti-interference networking; scheduling data transmission; and data receiving and state feedback. According to the method, the MobileNet-SSD lightweight neural network is deployed at the unmanned feeding ship end, edge end real-time cross-modal fusion of aquaculture water area environment data and ingestion state data is realized, and in combination with an aquaculture event-driven hierarchical coding design and a channel quality change rate adaptive transmission strategy, data redundancy is avoided, and the efficiency of the unmanned feeding ship is improved. And complete transmission of key instruction information when the channel quality is deteriorated is ensured, and the problem of insufficient adaptability of data fusion and a transmission protocol is effectively solved.

A flow rate control method for solicited data communications includes receiving, at a first node of a communications network, a request-to-send (RTS) signal from a second node of the communications network, the RTS signal indicating a size of a solicited data transmission of the second node, determining, by the first node, whether a rate-limiting counter is above zero, wherein the rate-limiting counter is programmed to increase at a programmed rate and in response to the rate-limiting counter being above zero, scheduling, by the first node, a clear-to-send (CTS) signal to be sent from the first node to the second node over the communications network, and subtracting, by the first node, a value corresponding to the size of the solicited data transmission of the second node from the rate-limiting counter.

The present disclosure provides a method, terminal and base station for transmitting HARQ feedback information, wherein the method includes: obtaining HARQ physical uplink control channel PUCCH resource configuration information corresponding to a preset downlink scheduling mode; wherein the preset downlink scheduling mode is that the base station uses one MTC physical downlink control channel MPDCCH information to schedule at least two physical downlink shared channel PDSCH resources for one downlink data transmission of the terminal; determining the target PUCCH index information corresponding to each of the PDSCH resources according to the HARQ PUCCH resource configuration information; loading the HARQ feedback information of the downlink data transmission carried by each PDSCH resource into the target PUCCH resource corresponding to the target PUCCH index information, and sending it to the base station. By adopting the method for transmitting HARQ feedback information provided by the present disclosure, the target PUCCH index information corresponding to multiple PDSCHs can be determined according to the above MPDCCH information, thereby saving system signaling overhead.

This invention discloses apparatus, methods, and systems for configuring multiple resource allocation modes. One method (400) includes receiving (402) information indicating multiple resource allocation mode configurations. Each resource allocation mode configuration corresponds to a logical channel among multiple logical channels. The method (400) includes determining (404) multiple data transmission scheduling modes for the multiple logical channels. Based on the resource allocation mode configurations for the logical channels among the multiple logical channels, each data transmission scheduling mode corresponds to that logical channel, and each data transmission scheduling mode includes: a first scheduling mode; a second scheduling mode different from the first scheduling mode; or a third scheduling mode including the first scheduling mode and the second scheduling mode. The method (400) includes transmitting (406) a buffer status report based on the multiple data transmission scheduling modes.

Methods, systems, and devices for wireless communications are described. In some examples, a user equipment (UE) may transmit capability information that indicates a quantity of slots the UE is capable of being scheduled for downlink data transmissions within a time window while the UE is operating in a reduced processing operational state. The reduced processing operational state being associated with a first downlink data processing timeline that is different from a second downlink data processing timeline for a second processing operational state. The UE may receive one or more control messages to schedule one or more data transmissions in up to the quantity of slots within a first time window in accordance with the capability information. The UE may receive the one or more data transmissions within the first time window in accordance with the one or more control messages.

The invention provides a scheduling method and device for MU-MIMO data transmission, equipment and a medium, and relates to the technical field of communication. The method comprises the following steps: acquiring CQIs (Channel Quality Indicator) of a current shared beam channel and an available shared beam channel, and channel capacities and transmission powers of different CCE (Channel Control Element) resources under a current control beam channel at a historical moment; determining beam channel control information at the current moment and corresponding CCE resources based on the CQI of the current shared beam channel and the available shared beam channel, and the channel capacities and transmission powers of different CCE resources under the current control beam channel at the historical moment; and sending the beam channel control information to the MU-MIMO paired user based on the corresponding CCE resource, so that the MU-MIMO paired user schedules data transmission at the current moment to a target shared beam channel based on the beam channel control information. The objective of the invention is to at least solve the problem of poor scheduling performance of MU-MIMO data transmission in related technologies.

The invention discloses a multi-source collaborative comprehensive power regulation and control system and a self-adaptive control method thereof, and relates to the technical field of power systems, and the system comprises a data collection module which is used for collecting the real-time operation data of a power grid; the control module is used for executing a self-adaptive control algorithm; the communication module is used for data transmission among all parts of the system; the scheduling module is used for dynamic power distribution; and the user interface module is used for displaying a system state, the control module adopts an SAMFO algorithm and dynamically selects a PSO algorithm, a GA algorithm or an SA algorithm for optimization, and the SAMFO algorithm dynamically adjusts an algorithm weight according to power grid stability, load fluctuation and a local optimal condition. According to the multi-source collaborative comprehensive power regulation and control system and the adaptive control method thereof, by combining adaptive multi-algorithm fusion optimization (SAMFO) and a multi-source collaborative scheduling strategy, an optimal optimization algorithm can be adaptively selected for different power grid working conditions.

The presentation invention relates to methods and apparatus for coordinating the transmission of data in a communications network. An exemplary method in accordance with an embodiment of the present invention includes the steps of: transmitting data from a cable modem termination system to a wireless base station receiving, at a cable modem termination system (CMTS), wireless base station multiple input multiple output (MIMO) information; and determining, at the CMTS, a data transmission schedule for transmitting data to a plurality of cable modems connected to the CMTS based on the received wireless base station MIMO information.

The invention discloses a power embedded RTOS-oriented lwIP protocol stack implementation method and system, and the method comprises the steps: calculating a protocol stack initialization resource allocation threshold according to hardware resource parameters of a power embedded RTOS; calculating a data packet priority weight value according to a real-time requirement and a protocol stack initialization resource allocation threshold value; according to the priority weight value of the data packet, calculating a module cutting proportion, and carrying out lightweight cutting on the core module of the lwIP protocol stack; a data transmission scheduling priority value is calculated according to a protocol stack initialization resource allocation threshold value, a module cutting proportion and a data packet priority weight value, and scheduling optimization is performed on power data transmission; and according to the data transmission scheduling priority value and the module cutting proportion, calculating a parameter adjustment value, and then dynamically adjusting the protocol stack operation parameters. According to the invention, the lwIP protocol stack can be always kept in an efficient and stable transmission state under different operation conditions of a power system, and the method can be widely applied to the technical field of power.

The application discloses a data transmission scheduling method and system based on random competition time slots, and relates to the technical field of communication. The method comprises the following steps: setting random competition time slots, the time slot position is not fixed, and the time slot position is combined with period distribution and dynamic distribution; distinguishing priorities in the random competition time slots; before a terminal formally sends uplink data to a base station or a relay, the terminal requests the base station or the relay to negotiate and schedule available uplink time slot resources in a random access time slot, and further judges uplink actions according to the result of feedback of the base station negotiation and scheduling; the base station sends downlink data to the relay or the terminal, the base station dynamically adjusts the number of downlink time slots according to the downlink data volume, and notifies paging information to the relay or the terminal device through broadcasting to receive downlink data; and the base station supports multiple uplink time slot resource scheduling allocation modes, including continuously allocating time slots to devices or allocating time slots at intervals of subframes. The application can solve the transmission problem of large and small data volumes under limited channel bandwidth.

The invention provides a data transmission scheduling method and electronic equipment, and the method is executed by first electronic equipment, and comprises the steps: obtaining a current transmission scheduling strategy, and carrying out the data transmission according to the current transmission scheduling strategy, the current transmission scheduling strategy comprises proportions of different services executed by each electronic device distributed on different data transmission links, each electronic device comprises electronic devices which are located in the same cell and execute the data transmission scheduling method, and each electronic device comprises a first electronic device; under the condition that the current transmission scheduling strategy does not meet a preset constraint condition, a first service which does not meet the constraint condition is determined, and the first service is one of different services executed by the electronic devices; adjusting a transmission scheduling policy corresponding to the first service to obtain an adjusted transmission scheduling policy; and performing data transmission according to the adjusted transmission scheduling strategy, and circularly executing the first operation. Therefore, efficient and reliable data transmission is realized.

A computing device, including a processor configured to perform data transfer scheduling for a hardware accelerator including a plurality of processing areas. Performing data transfer scheduling may include receiving a plurality of data transfer instructions that encode requests to transfer data to respective processing areas. Performing data transfer scheduling may further include identifying a plurality of transfer path conflicts between the data transfer instructions. Performing data transfer scheduling may further include sorting the data transfer instructions into a plurality of transfer instruction subsets. Within each transfer instruction subset, none of the data transfer instructions have transfer path conflicts. For each transfer instruction subset, performing data transfer scheduling may further include conveying the data transfer instructions included in that transfer instruction subset to the hardware accelerator. The data transfer instructions may be conveyed in a plurality of sequential data transfer phases that correspond to the transfer instruction subsets.

The invention relates to the technical field of communication, in particular to a monitoring data transmission scheduling method and device and computer device.The monitoring data transmission scheduling method comprises the steps that current information of nodes in a cluster is obtained, and a node-target server directed graph is constructed according to the current information; the optimal path between each node and the target server in the cluster is determined according to the current information of the nodes and the node-target server directed graph, and the monitoring data pushing strategy of the cluster can be dynamically adjusted, so that the high pushing rate of performance monitoring data is still kept when an abnormal condition exists in the cluster, and it is ensured that the monitoring information of the cluster needs to be pushed completely.