320 results about "Processing delay" patented technology

The invention relates to the technical field of intelligent monitoring, in particular to a multi-thread low-power-consumption intelligent monitoring system based on an AI processor. The method has the advantages that aiming at the problems of unbalanced computing power and power consumption, high multi-task processing delay and strong hardware dependence in the prior art, the NPU module of the RK3588 processor is combined with the INT8 quantitative model, so that the power consumption is lower than 10W under the 6TOPS computing power; a dynamic multi-thread scheduling mechanism is designed, parallel processing of more than eight paths of video streams is supported through binding of a priority queue and an NPU core, and end-to-end delay is compressed to be within 200 ms; a zero-copy video stream architecture is constructed, data transfer is eliminated through memory mapping, and preprocessing time consumption is reduced by 90%; an energy efficiency control module is integrated, the NPU voltage frequency is dynamically adjusted according to the load, and the energy efficiency ratio reaches 0.83 TOPS / W; space-time alignment of multi-model reasoning results is realized by adopting a frame ID synchronization technology, and the mismatching rate is lower than 0.1%.

The invention relates to the technical field of electric digital data processing, and discloses a multi-dimensional data logic processing method based on an artificial intelligence algorithm, which comprises the following steps: receiving a target discrete data packet, extracting metadata, and calculating to generate a dimension entropy feature vector representing data logic complexity; inputting the vector into a preset topological mapping model, and outputting an initial adjacent matrix; calling a feedback suppression mask matrix generated based on a historical operator utility state, and executing bitwise logic AND operation with the initial adjacent matrix to generate a corrected effective topological matrix; the matrix is analyzed, a logic operator function pointer is dynamically indexed in an instruction cache, and a directed acyclic execution linked list is constructed; according to the method, redundant logic nodes in AI prediction are definitely eliminated through a bit operation mask mechanism based on historical feedback, and deterministic convergence of processing delay and optimal matching of computing power resources are achieved.

According to the heterogeneous multi-core chip power consumption state control system and the heterogeneous multi-core chip provided by the invention, the power consumption state request of each sub power supply domain is received through the set system hardware power consumption management module, and the driving signal is sent to the corresponding sub power supply domain according to the preset hardware time sequence, so that the corresponding sub power supply domain enters the target state; generating a PMU control signal; and the power management module drives an internal voltage regulator to execute corresponding regulation operation according to the PMU control signal. A special control processor (SCP) is not needed, the system hardware power consumption management module realized by pure hardware is adopted to directly control the power consumption state of each sub power supply domain in the heterogeneous multi-core SoC, the software processing delay is eliminated, the response speed is high, the static power consumption of the power consumption management module is remarkably reduced, and the system is particularly suitable for an ultra-low power consumption scene and has a wide application prospect. And hardware-level surge current protection is realized in a multi-core power-on process.

Methods, systems, and devices for wireless communications are described. A remote unit (RU) may transmit, to a distributed unit (DU), an indication of a skew time parameter associated with providing compensated samples for a plurality of symbols associated with a slot. The RU may store a set of samples associated with a first subset of the plurality of symbols associated with the slot, the storing based on a processing delay associated with receiving demodulation reference signals during a portion of the first subset of the plurality of symbols associated with the slot. The RU may transmit, to the DU, a burst of compensated samples for the plurality of symbols in a transmission window that is offset in time from a beginning symbol of the slot according to the skew time parameter.

The invention discloses an edge computing network task unloading and resource allocation method based on optimal service quality, which comprises the following steps of: constructing a system architecture comprising a cloud server, a plurality of edge servers and mobile equipment, and establishing a multi-dimensional system model covering task characteristics, service cache, communication transmission, computing resources, service cost and service quality; constructing an optimization problem aiming at maximizing the long-term service quality of all mobile equipment, and forming a mixed integer nonlinear programming model under the constraints of mobile equipment cost constraint, storage capacity limitation, bandwidth, computing resources and the like; a double-time-slot hierarchical decision-making mechanism is designed, and multi-dimensional joint optimization of service caching, task unloading and resource allocation is realized through a collaborative mechanism that short-term resource allocation is constrained through a long-term caching decision and short-term performance feedback optimizes long-term caching. According to the method, the overall quality of service (QoS) can be effectively improved and the task processing delay and energy consumption can be reduced under the condition that the cost of the mobile equipment and the system resource limitation are met.

The invention discloses an ambiguity fixing method, device and equipment, and the method comprises the steps: obtaining an ambiguity floating point solution vector and a covariance matrix with a corresponding ambiguity mode under a current epoch based on Kalman filtering, and the ambiguity floating point solution vector comprises a plurality of original ambiguity; according to the covariance matrix, determining an arrangement sequence of the plurality of original ambiguity; according to the ambiguity mode and the arrangement sequence, multiple target ambiguity are selected from the multiple original ambiguity for two-stage fixation, and if two-stage fixation succeeds, fixed values of the target ambiguity after fixation are output; if the two-stage fixation fails, outputting an unfixed floating point value of the original ambiguity, and recording that the current epoch fixation fails; and repeating the above steps for the next epoch, and when the number of continuous fixed failed epochs is equal to a preset number, initializing parameters of Kalman filtering, and then repeating the above steps for the next epoch. According to the method, the calculation complexity and the processing delay can be reduced, and the adaptive capacity in a multi-frequency environment is enhanced.

The invention discloses a method for integrating an industrial field information system and a cloud platform based on edge computing. The method comprises the following steps: locally acquiring original monitoring data of a multi-source sensor of industrial equipment at an edge node; according to the method, the original data of the multi-source sensor is locally acquired and preprocessed through the edge node, and only the standardized time sequence data set and the feature vector are transmitted to the cloud, so that the original data transmission quantity is greatly reduced, and the network bandwidth pressure and the communication cost are relieved; feature engineering is carried out on the edge side in real time, a predictive maintenance model is deployed to carry out local reasoning, and an abnormal probability or an RUL predicted value is output, so that data processing link delay is remarkably shortened, and the real-time performance of health state assessment is improved; a maintenance decision is quickly triggered based on an evaluation result, so that instant response and accurate maintenance of equipment abnormity are realized, and fault expansion caused by cloud processing delay is avoided; meanwhile, an edge and cloud collaborative optimization model is combined with global data continuous iteration, and prediction accuracy and adaptability are improved.

The micro-service processing system provided by the embodiment of the invention comprises an event identification module which is used for defining a business domain event type and registering an event attribute structure; the event bus module constructs a distributed communication network containing a dual-channel message queue, and the event bus module implements partition routing according to event types; the event processing module is composed of an event producer and a consumer which are executed asynchronously, the event producer packages service actions into a standardized event data packet, and the consumer processes subscription events through a thread pool; the event storage module adopts a hierarchical log database for persistence of an event sequence and supports reestablishment of a service state according to a timestamp; and the security control module is used for implementing service authentication and event content encryption on a transmission layer. Through event bus dual-channel design, sender box transaction binding and hierarchical storage optimization, millisecond-level event processing delay is realized while the reliability of distributed transactions is ensured, and second-level state recovery can be realized based on a complete event log when a service fault occurs.

The invention provides an intelligent gridding comprehensive anti-misoperation locking system for a power distribution network, and the system comprises an optimization module which achieves the hierarchical decoupling design of the system through a distributed communication middle platform, an intelligent logic analysis engine and a programmable execution control unit. The deployment module is used for modularly deploying functional components based on the micro-service architecture, reducing the system coupling degree by using an asynchronous message queue as a cross-component communication bus in combination with a domain event-driven mechanism, and completing local logic judgment at an edge computing node through an FPGA (Field Programmable Gate Array); the network reinforcement module is used for constructing a heterogeneous communication network and guaranteeing the communication quality through a dual-channel redundancy transmission technology; the intelligent decision-making module is used for forming a self-adaptive decision-making model based on reinforcement learning and a knowledge graph technology; and the digital twinning verification module is used for establishing a power grid virtual mapping system through a digital twinning technology. Cooperation among modules of the system can be balanced, instruction processing time delay is shortened, communication reliability is improved, and efficient implementation of an operation scheme is guaranteed.

The invention relates to the technical field of network communication integrated circuits, and discloses a method for quickly exchanging Ethernet messages between a chip-level CPU (Central Processing Unit) and a SWITCH, which comprises the following steps of: constructing an Ethernet frame buffer pool in an on-chip memory, dividing the Ethernet frame buffer pool into storage blocks with fixed lengths, and distributing a unique frame index; when the sending process is executed, the central processing unit writes data and submits a frame index to the switch core, and the frame index is read and transmitted by the target port; when a receiving process is executed, a switch port prefetches a frame index and writes data, and the data are processed by a switch core and then notified to be read by a central processing unit; and the central processing unit, the switch core and the port transfer the control right of the storage block through the transfer frame index. Through the shared buffer pool and an index transmission mechanism, copying and carrying of message data between the central processing unit and the switch are avoided, bandwidth occupation and processing delay of a bus in a chip are reduced, and message interaction efficiency is improved.

The invention is suitable for the technical field of computer processor design, and provides an instruction processing method and device, terminal equipment and a program product, and the method comprises the steps: obtaining instruction information of a to-be-processed instruction set in a processor; generating an index vector corresponding to the to-be-processed instruction set based on the original effective vector; each index value in the index vector is subjected to one-hot code conversion, a one-hot code matrix corresponding to the instruction set to be processed is generated, and each row of one-hot code vector in the one-hot code matrix corresponds to each path of input instruction; and according to the original effective vector and the one-hot code matrix, sorting operation codes of each path of input instruction to obtain processed operation code information, so that a processor executes corresponding operation based on the processed operation code information. The method can meet the requirement that the high-performance processor completes instruction processing in a single cycle, the processing delay is low, and therefore the instruction execution efficiency of the processor is improved.

The invention relates to the technical field of wireless communication synchronization and gate valve action collaboration, in particular to a multichannel audio master-slave sound role intelligent conversion system and method.A master control unit broadcasts a time calibration packet to synchronize unit clocks, and an automatic calibration protocol is executed to generate an inherent processing delay baseline value; the subordinate gate valve unit records an instruction receiving and action completion timestamp through a delay detection module, calculates actual delay containing wireless transmission and local processing delay, and packages the actual delay into a structured feedback data packet for real-time feedback; a dynamic adjustment module of the main control unit filters noise through a weighted moving average algorithm, and calculates individual compensation delay parameters in combination with the dynamic buffer compensation amount of the environment interference monitoring module and delay trend prediction of an adaptive learning engine; and when abnormity occurs, historical data is called for replacement and self-inspection is triggered, an instruction distribution time sequence is adjusted according to compensation parameters, a gate valve action execution confirmation module verifies the displacement precision, and the fluid control precision and stability are improved.

The invention provides a container capacity expansion method, system and device, belongs to the technical field of data processing, and aims to achieve container dynamic resource management.The method comprises the steps that running state data of all containers in a target container cluster are collected in real time; constructing a service calling relation graph according to the running state data; wherein the service calling relation graph is a directed acyclic graph, each node in the graph represents a micro-service, each edge in the graph represents a calling relation from the current node to the next node, and the weight of each edge represents service processing time delay; when a preset capacity expansion condition is met, executing a critical path algorithm according to the service calling relation graph, identifying to obtain a critical path, calculating the priority of each node in the critical path, and determining a to-be-expanded container according to the priority; determining an expansion strategy according to the state of the container to be expanded; and according to the capacity expansion strategy, carrying out capacity expansion on the container to be subjected to capacity expansion.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. For example, the present disclosure provides a method and a device for re-installing a profile when changing an eUICC terminal.

The invention relates to the technical field of spacecraft satellite-ground communication, and provides a low-earth-orbit satellite communication time delay optimization method and system aiming at the defects that a traditional low-earth-orbit satellite communication satellite system and a satellite communication frame have high time delay and poor real-time communication function. The core of the invention comprises three parts: firstly, an efficient receiving and transmitting end coding and decoding technology: a transmitting end adopts a subblock coding technology of a Turbo code; and a receiving end uses an MAX-Log-MAP algorithm to carry out rapid iterative decoding on the word block code of the Turbo code. And secondly, compressing the user data: carrying out lossless compression on the user data and a satellite communication frame header by using Huffman coding, reducing the transmission data volume, improving the data processing speed, and thus reducing the processing time delay. And finally, simplifying the frame header design: optimizing the frame header of the communication frame so as to reduce the total length of each frame. The method is particularly suitable for communication satellites (the orbit height is less than or equal to 1500km) in a low earth orbit.

The invention provides a low-delay real-time analysis architecture and analysis method of a PCIe protocol, belongs to the technical field of integrated circuit chip design, and aims at solving the problems that a traditional software analysis scheme is low in throughput and high in delay, and a special protocol analyzer is high in cost and poor in integration level. The analysis architecture comprises a data preprocessing module, a parallel 8b / 10b decoding module, a parallel descrambling module and an analysis state machine. The analysis method comprises the following steps: S1, data preprocessing; s2, decoding the data in parallel; s3, descrambling the data in parallel; s4, data clock synchronization; and S5, data analysis. According to the method, PCIe 2.0 full protocol stack analysis can be realized, real-time analysis of 5GT / s physical layer, data link layer and transaction layer data is supported, the end-to-end processing delay is only 70 ns, the low delay characteristic enables engineers to observe protocol behaviors in real time and locate data packet errors in time in the debugging process, and the debugging efficiency and accuracy are greatly improved.

The invention relates to the technical field of computers, and provides a short message sending control method, a short message sending control device, a computer readable storage medium and electronic equipment.The short message sending control method comprises the steps that a preset short message sending rate limiting strategy is acquired, the short message sending rate limiting strategy is used for defining the maximum number M of short messages allowed to be sent in a preset time window; initializing an annular storage area based on the maximum short message number M, wherein the annular storage area is composed of M memory blocks; when a short message sending request is received, obtaining a time difference between the current timestamp and the earliest timestamp recorded in the annular storage area; if the time difference is larger than or equal to the preset time window, the current short message is allowed to be sent, and the current timestamp is written into the target memory block occupied by the earliest timestamp. According to the method, the memory overhead and the processing delay can be remarkably reduced while the condition that the sending amount in any continuous time window does not exceed M strictly can be ensured.

The application discloses a 5G MEC task offloading method based on optimal throughput in Internet of Vehicles, solves the problem that the congestion and busy degree of roadside units are not considered in the prior art, the efficiency of the roadside units in processing tasks can be optimized, and high-throughput vehicle services cannot be maximally provided, and comprises the following steps: judging whether a current vehicle loading task can be offloaded according to a local processing delay and a MEC processing delay of the task; identifying an effective roadside unit set according to the load of each roadside unit; updating the priority of the task according to a waiting delay of the task, and calculating the total time required for processing the current task; combining a sampling weight and a transmission rate of the roadside unit to calculate the throughput approval value of the current vehicle loading task in all effective roadside units; and selecting the roadside unit with the maximum throughput approval value to offload. The method can ensure that the vehicle is always in a good offloading quality environment, maximally ensures the stability of the offloading link quality, and improves the success probability of task offloading.

Embodiments of the present disclosure provide a data alignment method, a differential protector and a differential protection system. The data alignment method comprises: at a first time node, obtaining first sampled current data from a first sampling device; at the first time node, receiving a second message from a second differential protector, the second message comprising second sampled current data and a sampling time mark thereof, first time information about a receiving time difference of the second differential protector from receiving a first message to the second time node, and second time information about a second sending processing delay of the second differential protector from the second time node to sending the second message, the second time node being a time point at which the second sampling device obtains the second sampled current data; when time synchronization is maintained, calculating and storing a time calculation deviation between a third time node and a first calculation value of the second time node; when time synchronization is lost, determining the third time node according to the stored time calculation deviation.

The embodiment of the application provides a cloud host management method, device and medium, wherein the method comprises: creating a task by using a time triggering mechanism and an event triggering mechanism; task information of the task comprises: task resources; determining a first target field intelligent agent corresponding to the task according to the task information by using a task planning intelligent agent; detecting the task resources corresponding to the task by using the first target field intelligent agent; wherein the first target field intelligent agent determines a first target tool identifier according to a mapping relationship between a field intelligent agent and a tool identifier, and obtains a target tool instance corresponding to the first target tool identifier from a registration table to detect the task resources corresponding to the task; and generating a suggestion notification according to a task processing result. The embodiment of the application can effectively improve the timeliness, integrity and accuracy of cloud host management under the condition of reducing the cost of manual operation and processing delay, and can enhance the adaptability to different management requirements.

Provided in the embodiments of the present disclosure are a data processing method, apparatus and system. The method is applied to a data transmission device, and comprises: in response to a data sending notification of a data processing device, acquiring a target data descriptor of target message data; when it is determined, on the basis of the target data descriptor, that the target message data requires order preservation, placing the target data descriptor in a target buffer area for ordering, so as to obtain an ordering result; and on the basis of the ordering result, acquiring the target message data from a target memory address corresponding to the target data descriptor. A message order-preserving mode is changed to reordering based on a target data descriptor, and the size of the target data descriptor is much smaller than the size of target message data, so that the usage requirements of hardware resources are effectively reduced while an order-preserving capability that accommodates a higher CPU processing latency is achieved, thereby ensuring message order-preserving and performance requirements under high-latency CPU processing.

This application relates to an intelligent linkage control method for power distribution switchgear. Each power distribution switchgear is configured with a linkage unit, and adjacent linkage units are connected via peer-to-peer communication links to form an autonomous collaborative domain. Each linkage unit sends topology description messages to each other to construct an adjacency topology table. When the topology changes, the linkage action criteria, including fault initiation settings and action timing differences, are recalculated and broadcast for verification within the domain. During a fault, each linkage unit collaboratively identifies the faulty section based on the combination relationship of the fault current direction. The linkage units at both ends of the faulty section are locally disconnected and isolated without requiring a master station command. When power is restored, the linkage unit corresponding to the tie switch confirms through distributed interlocking that the current closing will not form a closed loop before closing. This application enables the location, isolation, and restoration of power distribution faults to be autonomously and collaboratively completed by the surrounding equipment, shortening processing delays, adapting to dynamic topology changes, and avoiding restoration conflicts.

A network switch comprises a first data path configured to separate a header from a payload of an incoming packet, the first data path is characterized by a reduced latency for cells of the payload without a first processing delay associated with the header in the second data path. The network switch also includes a controller configured with a first control path to transmit a control bus carrying control signals for individual cells and a second control path to transmit a data bus carrying the header and the payload, wherein the control bus is transmitted before the data bus. The network switch also includes a second data path configured to receive the control bus and the data bus separately, and to store the cells temporarily for managing the timing of the cells and handling a second processing delay associated with the header in the second data path before transmitting the packet.

Provided is a control device that controls a system in which data acquired by a terminal is processed by a calculation device, the control device comprising: a requirement determination unit that determines, on the basis of peripheral information about the terminal, a first required value relating to the quality of the data and a second required value relating to a processing delay of the data; and a control unit that designates a communication resource amount and a calculation resource amount for the system on the basis of the first required value and the second required value.

Disclosed are method and electronic components for: i) electronically extracting a sequence of values from a measurement signal corresponding to a position of a moving object, wherein the sequence of values indicates the position of the moving object at corresponding time increments; ii) electronically determining at least one of an estimate for a velocity of the moving object and an estimate for an acceleration of the moving the object based on a plurality of the values in the sequence of values; and iii) electronically correcting a value in the sequence of values to substantially reduce the effect of processing and signal delays based on one or both of the velocity and acceleration estimates.

The invention relates to the technical field of 5G communication security, and discloses a 5G short message encrypted transmission method, which comprises the following steps: acquiring time delay spread, angle spread and Doppler spread parameters of indoor multipath propagation, and generating a multi-dimensional channel characteristic matrix; acquiring a historical channel fingerprint database and a current channel feature matrix, and outputting a channel anomaly score; generating a three-dimensional decision space coordinate by using a threat-performance joint state space mapping algorithm; monitoring the real-time encryption queue length and the processing delay of each slice, calculating the actual SLA fulfillment rate and the security event interception rate, and generating a performance feedback vector; and inputting the performance feedback vector into a reward function calculation module of the reinforcement learning model, updating model parameters, and outputting an optimized decision strategy. According to the method, the interference of environmental noise on threat detection is avoided, the accuracy of pseudo base station attack identification is improved, and the problem of resource conflict arbitration in a multi-network slice scene is solved.

The embodiment of the invention relates to the technical field of computers, in particular to a message processing method and a remote direct memory access system. According to the embodiment of the invention, a first first element of a receiving work queue is obtained through a prefetching analysis module to serve as a reference element, the reference element is analyzed to obtain reference information of a reference receiving cache, the reference information is sent to an aggregation processing module, and the aggregation processing module determines target aggregation information of a target operation message according to the reference information; and obtaining the target data according to the target aggregation information, and sending the target data to the reference receiving cache, thereby dynamically matching one or more request operation messages processed by one first element, performing aggregation processing on the data carried by the target operation message, fully utilizing the storage space of the receiving cache, improving the utilization rate of the storage space of the receiving cache, and improving the user experience. The number of times of acquiring the first element by the remote direct memory access network card is reduced, so that PCIe operation is reduced, processing delay is reduced, and the PCIe bandwidth utilization rate is improved.

Embodiments of the present application provide a message processing method and device, and a storage medium. A virtual switch in a network device can obtain event notification information from the network device, and determine at least one data queue containing a to-be-sent message from data queues of the network device according to the event notification information. Then, the virtual switch can access the at least one data queue to obtain the to-be-sent message, and send the to-be-sent message to a destination address. In this implementation, the virtual switch only needs to access the data queue containing the to-be-sent message, and does not need to access all data queues one by one, which greatly reduces the processing delay of the message.

The invention relates to the technical field of distributed communication, and discloses a data interaction method and system based on a distributed soft bus, a terminal and a storage medium, and the method comprises the steps: building a connection with a plurality of target devices through a virtual network port; converting the third-party protocol data into an IP data packet; sending the IP data packet to a plurality of target devices through the virtual network port, and receiving a feedback data packet; and converting the data packet into a non-IP data packet, and returning the non-IP data packet to the third-party device by using the virtual network port to obtain a data interaction result. The non-IP protocol link device is mapped into the IP network device through the kernel mode virtual network device, seamless connection with the distributed soft bus is achieved, the communication cost is remarkably reduced, the user mode protocol conversion efficiency is improved, the kernel mode processing time delay is shortened, and the communication experience of a user is optimized.

The invention relates to a multi-expansibility intelligent service unit based on an S5000C + 310P architecture, and belongs to the technical field of computers. The intelligent service unit comprises a VPX case, an S5000C general-purpose computing module, a 310P intelligent module, a network switching module, a power module, a timing system module and a bus bottom plate, wherein the S5000C general-purpose computing module and the 310P intelligent module are interconnected through PCIe (Peripheral Component Interconnect Express). According to the method, the S5000C general computing power and the 310P AI computing power are fused, so that multi-task parallel processing is realized, the data operation and AI reasoning efficiency is remarkably improved, the processing delay is reduced, and the intensive computing scene requirements are met; through the modular integrated design, disassembly, assembly, debugging and later expansion and upgrade are facilitated, the operation and maintenance workload and cost are reduced, and the deployment flexibility is improved.