174 results about "Asynchronous communication" patented technology

The invention relates to the technical field of robot scheduling, and discloses a robot task management framework system based on asynchronous communication. The system comprises a task asynchronous analysis module for performing time sequence decoupling on an original task instruction stream of a heterogeneous robot terminal by means of a multi-channel buffer queue to separate out independent executable task units; the resource dynamic mapping module is used for establishing a variable granularity resource allocation mapping table according to cluster real-time load and task resource requirements, and recording various resource dynamic binding relationships; the task priority reconstruction module is used for constructing a directed acyclic graph scheduling topology based on task logic dependence and deadline constraint, and generating a weighted execution sequence through topological sorting; the exception isolation processing module captures exceptions during operation and triggers an isolation strategy; and the cross-node cooperation module guarantees the multi-robot cooperation task state consensus through a distributed consistency protocol. The system is suitable for heterogeneous robot cluster complex task scenes.

The invention discloses a gallery integrated internal production software system based on a modular low-coupling architecture, which is characterized in that a system function is divided into a plurality of modularized modules and the modularized modules are packaged and deployed by a uniform interface, so that the coupling degree between the modules is remarkably reduced, and the problem of global code change caused by module dependence in a traditional single architecture is avoided; direct calling is replaced by an event-driven mechanism, asynchronous communication and decoupling cooperation between modules are realized, and the stability and maintainability of the system during function change or addition are improved; the configuration driving mechanism enables the business process to be dynamically adjusted, different business requirements can be met without modifying a program source code, the plug-in management mechanism provides a standardized third-party extension access channel and supports function loading according to requirements, and the limitation that a traditional system is fixed in function and closed in development is broken through; according to the method, the software can run consistently in Windows, Linux, MacOS and other environments, and the key problems that in the prior art, the coupling degree is high, the expansibility is poor, configuration is not flexible, and the platform adaptation capacity is weak can be effectively solved.

The invention discloses an intelligent building multi-dimensional monitoring system supporting edge computing and cross-terminal collaborative management, and relates to the technical field of intelligent buildings, the intelligent building multi-dimensional monitoring system comprises a multi-area edge monitoring node and an asynchronous communication cloud management platform, the edge node is provided with a lightweight dynamic collaborative engine, a node database and equipment management and control module, and a management and control terminal device; data are collected and standardized, simple / complex events are identified, risk levels are divided, and autonomous networking is carried out to form a temporary collaborative cluster when the risk is high; the data interaction module adopts UDP lightweight protocol low-delay transmission and local retransmission to guarantee data integrity, the cloud platform stores event processing abstracts, analyzes historical data optimization strategies and rules and silently issues in idle periods, the visual module assists monitoring and decision making, the system realizes distributed sensing and collaborative management and control, cloud dependence is reduced, and the real-time performance of the system is improved. The event response efficiency and the resource utilization rate are improved.

The invention provides a file system client kernel mode and user mode communication method based on asynchronous communication. According to the asynchronous communication-based file system client kernel mode and user mode communication method provided by the embodiment of the invention, the context switching overhead of communication between the user mode and the kernel mode can be reduced, the data transmission throughput is improved, the resource utilization rate is optimized through dynamic queue management, and the problem of performance bottleneck in a high-concurrency scene is effectively solved.

The invention discloses a dual-channel adaptive network stability testing method and system, and belongs to the technical field of computer network testing. The system adopts a dual-channel asynchronous communication architecture in which a control channel and a data channel are physically separated, instructions and state information are transmitted through an independent TCP control channel, and high-speed test data streams are transmitted through a UDP or TCP data channel. The method comprises the following steps: dynamically and adaptively adjusting a timeout parameter based on real-time network delay detection; nanosecond constant interval packet sending control is realized by using a high-precision monotonic clock source and busy waiting compensation mechanism; a packet loss detection, positioning and ACK confirmation mechanism based on the serial number is realized in an application layer; and real-time statistical display and idle detection automatic termination are realized through multi-thread parallel processing. According to the invention, the precision, the stability and the adaptive capability of network testing are remarkably improved, and the method is suitable for long-time stability testing in various scenes such as a high-speed Ethernet, a satellite link, an industrial Internet of Things gateway and the like.

The present invention relates to a communication system and method designed for patients in clinical settings who face challenges using standard communication devices. This system includes a mobile application and associated devices that establish a secure, asynchronous communication channel between clinicians, patients, and their support networks. Authorized users can record and send voice messages and other media, which are automatically played on the patient's device without requiring active operation. The system is tailored for ease of use, accommodating patients with severe physical or cognitive limitations through hands-free operation and simple commands. It adapts to the patient's condition, pausing messages during rest or medical procedures and resuming when appropriate. The system also features cross-linguistic messaging, translating and synthesizing voice messages across languages while maintaining the speaker's voice. Additional features include support for rich media, automatic transcription, and AI-driven content analysis. Secure, encrypted channels ensure privacy, complying with healthcare regulations. This invention enhances emotional connection and support for isolated patients, acting as a virtual visitation tool.

The invention relates to the technical field of calculation, and provides a CFD solution acceleration method and system based on parallel calculation and load dynamic balance. Physical characteristics such as a CFL number and a residual error are quantified into load indexes, so that a load balancing decision and a flow field evolution rule are tightly coupled; by adopting an asynchronous communication overlapping framework deeply coupled with a CFD solver, blocked communication waiting time is converted into effective calculation time, and communication delay is systematically hidden; based on an incremental grid migration strategy of real-time load evaluation, high-load grid blocks in a hotspot process can be intelligently identified and migrated, and differentiation and high-efficiency utilization of computing power are realized.

The invention discloses an RDMA asynchronous communication optimization method and system based on a lock-free queue, a medium and a processor, and relates to the technical field of remote communication. The method comprises the following steps: constructing a lock-free annular buffer area at an edge node, registering the lock-free annular buffer area as an RDMA memory area, and configuring a queue and a thread pool; the collection thread concurrently writes data, and the RDMA submission thread asynchronously completes remote transmission based on a buffer area state; and the queue processing thread performs closed-loop linkage transmission and buffer area states through'batch polling-result analysis-state synchronization-exception processing ', and dynamically adjusts the buffer area and queue parameter optimization performance at the same time. The problems that an existing RDMA scheme is poor in thread cooperation, weak in resource adaptation, not timely in state linkage and the like are solved, transmission delay and CPU overhead are greatly reduced, communication stability and the resource utilization rate are improved, and the method is suitable for edge computing and other high-concurrency data interaction scenes.

The invention discloses a hybrid expert model training optimization method based on expert calculation load balancing scheduling, and the method comprises the steps: firstly predicting current iteration global expert load data, and obtaining sampling data; and secondly, designing a multi-dimensional performance perception expert placement evaluation method, and realizing quantitative comparison and decision in a stage of searching an expert placement scheme by converting multi-dimensional communication and calculation into a unified time delay index. And then designing an expert placement strategy by adopting an expert grouping search algorithm of dynamic load feature perception and a matching algorithm of expert grouping and resource perception based on the sampling data and an expert placement evaluation method. Finally, on the basis of an expert placement strategy, an asynchronous communication strategy is adopted to implement expert and optimizer parameter scheduling, and training optimization is completed. According to the method, by improving the computing load balance and asynchronous communication concealment between the devices, synchronous waiting is reduced, and the training efficiency and the overall performance of the hybrid expert model are effectively enhanced.

The invention relates to the technical field of computer vision and edge computing, and discloses a multi-computing-power collaborative video structured analysis method, which comprises the following steps of: acquiring a plurality of paths of original video streams, and synchronously decoding the plurality of paths of original video streams; gradient analysis is adopted to evaluate the decoded multiple paths of original video streams, and a preprocessing algorithm combination is selected based on a quality feature vector; establishing a data transmission channel, and adopting an asynchronous communication protocol and a multi-level cache system; performing content complexity analysis, and performing model matching according to the content complexity analysis to obtain a scheduling decision; carrying out distributed deployment, and carrying out pipeline reasoning on the deployed model; pipeline reasoning results are fused, and consistency constraint verification is carried out on fusion results; optimizing system configuration parameters according to a video structured analysis result to realize video structured analysis; the real-time performance, the accuracy and the system stability of video analysis are improved.

The invention provides a number card distribution system based on message middleware, relates to the field of data management, and solves the technical problem of high data storage security risk of an existing number card distribution system. The system comprises a message center module which is used for processing asynchronous communication and data transmission in the system by adopting a distributed message middleware cluster; the data security module is used for managing distribution data of each region by adopting a data fragmentation storage mechanism; and the demand prediction module is used for predicting the number card demand quantity of the next period according to the sales data and the demographic data of each region, and guiding the formulation of a sales strategy of the next period. The method and the device are used in the whole-process management process of the number card distribution service.

The invention relates to a localized intelligent adaptation system and method based on multi-agent interaction, the system is realized based on a large language model and multi-agent cooperation, and the system comprises an offline knowledge extraction module, a diagnosis prompt generation module, a multi-agent cooperation diagnosis module and a man-machine cooperation module. Wherein the offline knowledge extraction module is used for extracting knowledge blocks and dynamically registering an API (Application Program Interface) of an operation and maintenance tool into the system; the diagnosis prompt generation module is used for screening out most relevant knowledge blocks and operation and maintenance tools; the multi-agent cooperative diagnosis module is used for cooperatively generating a diagnosis report among the agents based on asynchronous communication and a cross review mechanism; and the man-machine cooperation module realizes cooperation of manual auditing and automatic repairing through a natural language dialogue interface and a work order system. The invention aims to improve the intelligent level of fault diagnosis and repair through the following innovation breakthrough, and better meet the requirements of localization adaptation.

The invention belongs to the technical field of data processing, and particularly relates to an efficient and stable code-scanning ordering electricity digital data processing and storage system. Comprising a user terminal, a front-end access module, an event bus module, a core service logic processing module, a high-performance data persistence module, a real-time data query and analysis module and a system fault-tolerant and elastic telescopic module. And high concurrent processing, hierarchical storage and fault-tolerant scaling are realized. Asynchronous communication among the modules is realized by introducing an event bus module, and real-time processing of high-concurrency requests and rear-end data persistence operation are decoupled. The front-end request is quickly converted into an event to be merged into a queue, so that the direct pressure of back-end service is avoided, the high concurrency far exceeding that of a traditional synchronization architecture can be borne, and the problems of slow system response and order loss in peak hours are effectively solved.

The invention discloses a cooperative control method for a multi-domain unmanned system. The method comprises the following steps: acquiring an original sensor sequence and a late message set; according to the original sensor sequence, calculating a dominant function and anti-fact regret to obtain a value signal; generating a time delay weight according to the late message set; constructing a space-time source item based on the value signal and the time delay weight; constructing a neural pheromone field by solving partial differential equation dynamics by using space-time source items and pheromone field parameters; under the guidance of the neural pheromone field, sampling to generate a candidate path set; and selecting a cooperative path from the candidate path set for the unmanned system to execute. According to the method, the problems of value characterization and timeliness under asynchronous communication are solved, deep coupling of a decision strategy and a physical model is realized, and the robustness and the adaptive ability of collaborative decision are improved.

The invention provides a distributed futures transaction service system of a stateless micro-service architecture based on RestfulApi. The system comprises a front routing service, a relay transaction service, a market information acquisition service, a market information service, a tidb distributed database and a codis memory distributed database. The front routing service provides a stateless interface based on Restful Api, and supports multi-node parallel expansion and dynamic load adjustment; the relay transaction service is integrated with mainstream futures sdk and interacts with the counter system through an asynchronous communication mechanism; the market information acquisition service acquires dynamic market information data and writes the dynamic market information data into the codis memory distributed database; the market information service reads the dynamic market information data and externally provides an api interface; the tidb distributed database is used for storing user account information, and the codis memory distributed database is used for storing entrustment return, transaction return and dynamic market data. All the modules cooperate to realize high-concurrency, low-delay, high-availability and multi-mode futures transaction request processing and return information management.

The invention discloses a compilation optimization method and device for accelerating Attention calculation, and belongs to the field of compilation optimizing.The method comprises the following steps that multiple scheduling strategies are generated according to the number, shape and Attention type of input matrixes and a target hardware platform; defining a cost function, evaluating time and space overhead of each scheduling strategy, and selecting an optimal strategy based on hardware platform characteristics and user requirements; the method comprises the following steps of: performing multi-core parallel division on input data in sequence length and Head dimension, and reducing delay through asynchronous communication overlapping calculation and communication; in a training stage, a random floating point matrix generated by hardware and an attention weight are used for carrying out Hadamard product operation, and a Dropout function is realized. According to the method, the characteristics of different hardware platforms can be flexibly adapted through the generated Attention operator template, excellent performance can be achieved under various shapes, and efficient data division is achieved by optimizing balance between calculation and communication.

The invention relates to a three-dimensional visual synthesis system based on heterogeneous collaboration and screen alignment fusion, which is characterized in that a master control system generates complete viewpoint configuration information of a current scene acquired by an image acquisition device, and the complete viewpoint configuration information is used as a single data source and is simultaneously distributed to a graphic processing unit and a neural rendering coprocessor of the master control system; synchronous starting and parallel execution of the two heterogeneous rendering pipelines are achieved. And in combination with a subsequent screen alignment fusion mechanism, an end-to-end collaboration framework with low delay, low coupling and high coordination is constructed, and the key problem of real-time integration of high-fidelity contents is effectively solved. On the premise of not depending on a traditional deep buffer area or geometric alignment, high-fidelity visual content generated by special hardware acceleration and a dynamic environment of a main control system are efficiently fused, and complex effects such as lightweight asynchronous communication and real-time shadow are supported. Therefore, multiple bottlenecks in the aspects of real-time performance, compatibility and engineering deployment in the prior art are broken through.

The invention discloses a two-ticket operation ticket intelligent verification execution system driven by AR glasses, and belongs to the technical field of electric power operation and maintenance. The system comprises an operation order verification module, a risk assessment module, an AR task interaction module, an execution confirmation module and a system central control module. The operation order verification module performs format normalization and step sequence logicality verification on the operation order, and after the verification is passed, the operation steps are decomposed into operation sub-steps to be stored in a step library; the risk assessment module performs risk scoring on each operation sub-step to obtain a risk value of each operation sub-step; the AR task interaction module identifies target equipment through AR glasses and presents operation sub-steps and risk values; the execution confirmation module receives the sub-step interaction completion instruction; and the system central control module realizes module asynchronous communication and pushes the next operation sub-step. The AR technology is combined with intelligent verification, the operation ticket execution process is standardized, the operation risk is prompted in real time, and the standardization, safety and efficiency of electric power operation and maintenance operation are improved.

The invention provides an intelligent equipment control system and method for multi-thread asynchronous communication and self-adaptive analysis. The intelligent equipment control system comprises a hardware layer interface module, a multi-thread asynchronous communication module, a self-adaptive data analysis module, a data processing and storage module and an intelligent diagnosis module. A multi-thread asynchronous communication architecture is constructed through the multi-thread asynchronous communication module to realize concurrent data interaction of multiple intelligent devices, communication protocols of different types of intelligent devices are compatible through the adaptive data analysis module, and an intelligent diagnosis function is integrated. The problems that a traditional upper computer is high in communication delay, poor in protocol compatibility, low in multi-device cooperative control efficiency and the like are solved, the real-time performance and reliability of industrial field device monitoring are improved, and the method is suitable for multi-device cooperative scenes such as intelligent manufacturing and intelligent storage.

The invention provides a wharf seaside operation deduction method and system based on a multi-agent system, is applied to the technical field of port wharf operation management, abstracts wharf physical equipment into agents packaged with attribute, state and behavior logic by constructing a multi-agent collaborative deduction system based on actual wharf resource configuration, and improves the deduction efficiency of the wharf seaside operation. The task manager intelligent body analyzes ship operation tasks and dispatches the tasks according to an area matching rule, the quay crane intelligent body, the field crane intelligent body and the container truck intelligent body receive the tasks through asynchronous communication, make decisions autonomously based on own resource states, and determine a task execution time sequence in combination with a dynamic action time prediction model so as to propel and deduce a logic time axis; the container truck intelligent body responds to an instruction to simulate container circulation between a quay crane and a storage yard, key instructions and state data are written into a database in real time in the deduction process, a traceable data track is formed, real-time monitoring and post multi-dimensional index analysis are supported, and distributed, dynamic and data-driven high-fidelity deduction of a seaside operation process is achieved.

The application provides a processing method, device, storage medium and system for serial machine communication, and belongs to the technical field of communication. The monitoring method comprises the following steps: storing element information corresponding to a plurality of ports by using a first queue pool; adding elements corresponding to one or more TCP ports in the plurality of TCP ports into a to-be-processed linked list, adding element information corresponding to one or more TCP ports with a cache mark into a preparation linked list, and receiving output information of the TCP ports in the preparation linked list; when the one or more TCP ports are connected, predicting I / O operations generated in a next process, and marking the process by using an asynchronous keyword. The application configures the to-be-processed linked list, the preparation linked list, the cache mark and the asynchronous keyword based on the coroutine technology, realizes processing of asynchronous communication of the serial machine, and does not have a time slice of context switching of the CPU, so that the CPU resource overhead is reduced.

The application relates to the technical field of computation, and provides a CFD solution acceleration method and system based on parallel computation and load dynamic balancing. Physical characteristic quantities such as CFL numbers and residuals are quantified as load indexes, so that load balancing decisions are closely coupled with flow field evolution rules. By using an asynchronous communication overlap framework which is deeply coupled with a CFD solver, blocked communication waiting time is converted into effective calculation time, and communication delay is systematically hidden. Based on a real-time load evaluation incremental grid migration strategy, high-load grid blocks in hotspot processes can be intelligently identified and migrated, and differentiated and efficient use of computing power is realized.

The invention relates to a fluid system digital twin system establishment method based on a parallel asynchronous structure, a program, equipment and a storage medium. The system takes a time sequence database as a core, and a data acquisition module, a state monitoring module, a fault diagnosis module, a fluid simulation module, a data assimilation module and a visualization module are connected in parallel to realize data sharing and asynchronous communication. The method comprises the following steps: acquiring and preprocessing sensor data; performing signal noise reduction and time-frequency feature extraction to calculate a state index; performing fluid system parameter prediction based on the indexes; marking the to-be-corrected component by comparing the difference between the predicted value and the measured value, and correcting the to-be-corrected component; and finally, result visualization is realized. Through module decoupling, the problems that a series structure is poor in stability and wastes resources are solved, the real-time performance, fault tolerance and expandability of the system are remarkably improved, and the system is suitable for state monitoring and fault diagnosis of fluid systems such as reactors.

The apparatus includes a first xPlexer, coupled to a first antenna, including first and second filters; a second xPlexer, coupled to a second antenna, including third and fourth filters; a first switched xPlexer including fifth and sixth filters coupled to the second filter of the first xPlexer; a second switched xPlexer including seventh and eighth filters coupled to the fourth filter of the second xPlexer; a first transceiver coupled to the first filter of the first xPlexer and selectively coupled to the fifth filter of the first switched xPlexer; a second transceiver coupled to the third filter of the second xPlexer and selectively coupled to the seventh filter of the second switched xPlexer; a third transceiver selectively coupled to either the fifth or sixth filter of the first switched xPlexer; and a fourth transceiver selectively coupled to the seventh or eighth filter of the second switched xPlexer.

This invention relates to a modulation and coding scheme and a method, system, device, and medium for predicting spatial stream counts. The method includes: acquiring received signal strength indication data and preset threshold information between at least two access points and a site; determining the synchronous / asynchronous communication status between each access point based on the dynamic relationship between the received signal strength indication data and the preset threshold information; classifying signals transmitted from adjacent access points to the site as interference signals and signals transmitted from adjacent sites as ambient noise based on the synchronous / asynchronous communication status; calculating the signal-to-noise ratio (SNR) of the site based on the signal classification results; inputting the SNR, synchronous / asynchronous communication status, and access point transmit power into a gradient boosting decision tree model; and outputting the modulation and coding scheme and spatial stream count prediction results of the target access point through the gradient boosting decision tree model. This method significantly improves the MCS / NSS prediction accuracy of high-density WLANs.

A network device may receive a context creation request based on a protocol data unit (PDU) session establishment request for establishing a PDU session with a user device, and may generate a policy context request based on receiving the context creation request. The network device may provide the policy context request to a policy control function (PCF), and may receive, from the PCF and based on the policy context request, policy rules for the PDU session. The network device may receive, from the PCF, a terminate PDU session notification indicating that a binding support function (BSF) is unreachable, and may generate, based on the terminate PDU session notification, a PDU session release command that includes a cause code indicating an issue with the BSF and an instruction to not reinitiate the PDU session. The network device may cause the PDU session release command to be provided to the user device.

The present invention provides a distributed training communication optimization method and system for a bandwidth-constrained environment, which relates to the fields of deep learning and distributed system technology, including: step S1: adopting a distributed training platform and using a data parallel mode; step S2: establishing a deep learning model, and having all workers in the distributed training platform perform data loading, forward propagation, backpropagation, parameter communication, and parameter update operations in sequence to train the deep learning model; step S3: based on the above steps, comprehensively using delayed communication, asynchronous communication, and layered communication optimization methods to iterate the deep learning model. The present invention fully utilizes the heterogeneity of device interconnection through a layered strategy, while the local asynchronous strategy alleviates the network communication bottleneck between nodes while ensuring high convergence efficiency of model training.

The invention belongs to the technical field of LED display, and provides an asynchronous communication LED cache display control method, system and device and a medium, a main control end sends display line information and cache display gray information corresponding to the next line to a display end at intervals in an asynchronous communication mode; the display end transmits row display information to the display control module and the counter module, transmits cache row information corresponding to the current row display information to the row cache module, and transmits cache display gray information to the gray conversion module; the counter module records the number of interval clocks of adjacent display line information, and the gray level conversion module calculates an actual display gray level value based on an actual maximum display gray level value; the line cache module stores an actual display gray value according to a cache line number remainder result; the display control module controls the corresponding row switches to be switched on, and whole frame display is completed in a row-by-row circulation mode. According to the method, the cache data volume is greatly reduced, the asynchronous communication synchronization problem is solved, the display effect is guaranteed, and the compatibility is high.

The application discloses a three-level coordinated production line body intelligent control method and system, and belongs to the technical field of intelligent manufacturing. The method comprises the following steps: establishing a global task planning layer, performing semantic analysis and logical disintegration at a first preset frequency, and generating an atomic action sequence; establishing a local space perception layer, receiving the atomic action sequence at a second preset frequency, constructing a dynamic local map by using sensor data, determining a workpiece pose by point cloud registration, and mapping the atomic action sequence into a continuous motion trajectory flow; establishing a real-time action execution layer, receiving an instantaneous target pose at a third preset frequency, calculating a theoretical driving torque by combining a Lagrange dynamics equation, switching to an impedance control mode at a contact moment, and driving an execution mechanism to complete work; and establishing an asynchronous coordination layer, realizing three-layer asynchronous communication through an industrial network, and controlling the three-layer frequencies to be distributed in a ladder type in an increasing manner. The application has the effects of improving the flexibility, precision and safety of a production line.