675 results about "Real-time communication" patented technology

The invention discloses a power distribution network collaborative management method and system based on artificial intelligence, and relates to the technical field of electrochemical detection, and the method comprises the steps: constructing a distributed edge computing node network, deploying nodes at key positions of a power distribution network, achieving the collection and preprocessing of local power data, and reducing the cross-regional data transmission pressure; an AI real-time communication scheduling model is established based on the preprocessed data, communication resources are dynamically allocated according to the operation state of the power distribution network, and fault data transmission is guaranteed preferentially; seamless interaction of multi-protocol equipment is realized through a self-adaptive protocol conversion mechanism containing protocol identification, format conversion and data verification; training a fault diagnosis model by using a federated learning framework, and enabling edge nodes to only upload parameters to a coordination center for aggregation and updating, so as to balance model precision and data privacy; when a fault is detected, a millisecond response mechanism is started, and a processing strategy is generated and executed in combination with edge local decision and central global optimization.

The invention relates to the technical field of robots, and discloses a multi-robot cooperation control method and system, and the system comprises an environment sensing module, a robot state monitoring module, a task cooperation center, a real-time communication network, a cooperation efficiency evaluation module, and a dynamic optimization execution module. A time and energy consumption dual-target optimization model is constructed through a distributed task allocation mechanism, environment obstacle distribution and robot state parameters are fused in real time, the matching degree of task requirements and robot execution capacity can be verified in the initial planning stage, the risk of task interruption caused by sudden abnormity is reduced, and the task planning efficiency is improved. Meanwhile, the task allocation relation is automatically adjusted based on a dynamic priority strategy, and the system resource scheduling efficiency and the energy consumption balance are improved; when a robot moving path is generated, coupling strength analysis is carried out on a path crossing area through a space-time conflict prediction model, and the dynamic obstacle avoidance capability and response real-time performance of the system are enhanced.

The invention discloses a method and a system for accessing and registering power Internet of Things equipment in a multi-protocol environment. The method comprises an original communication protocol identification step, a communication data semantic identification step, a target communication protocol conversion step and a device registration step. According to the invention, protocol identification, dynamic protocol conversion and equipment unique ID registration are carried out on equipment accessed to the electric power Internet of Things for the first time, intelligent identification and semantic level conversion of heterogeneous protocols are realized, incremental learning of unknown protocols is supported, real-time communication between equipment and a platform and between equipment is supported, and the real-time communication between equipment and platform is realized. And the compatibility and the adaptive capability of the electric power Internet of Things system are improved.

The invention relates to the technical field of micro-service operation and maintenance, and discloses a full-link intelligent fault simulation and assessment defense method in a micro-service scene. The method comprises the following steps: constructing a dynamic dependency graph based on a service registration center and real-time communication traffic; performing matching backtracking on historical faults according to the atlas, and generating a fault injection point list and a propagation path set sensed by the atlas; in the isolated environment, driving the programmable agent to perform multi-dimensional fault injection, and synchronously acquiring full-amount system response signals; performing multi-dimensional deviation calculation on the signal and the base line to form an observation record containing deviation intensity and propagation rate; and training a graph neural network model with time sequence dependence understanding capability based on the record, and carrying out fault mode identification and evolution prediction on an online real-time link, and outputting a risk assessment report. According to the method, the authenticity of fault simulation and the initiative of risk prediction are improved.

The present disclosure generally relates to managing live communication sessions. A computer system optionally displays an option to invite the respective user to join the ongoing communication session. A computer system optionally displays one or more options to modify an appearance of an avatar representing the user of the computer system. A computer system optionally transitions a communication session from a spatial communication session to a non-spatial communication session. A computer system optionally displays information about a participant in a communication session.

The invention relates to the technical field of charging station management, and particularly discloses an intelligent cooperative charging station management system and method for an electric automobile, and the system comprises the steps: integrating real-time communication and honeycomb partition management through a cooperative decision module, constructing an efficient and state-aware charging network, and carrying out the state-aware management of the charging network; the decision model can accurately adapt to the actual operation state of the target charging station; the cooperative scheduling module optimizes resource allocation by using a state matrix and an aggregation space, so that the utilization efficiency of charging station resources is remarkably improved; and the intelligent charging scheduling decision module combines reinforcement learning rapid iteration and historical data driven prior knowledge and demand prediction, so that the generation of an optimal scheduling strategy is accelerated, the excessive dependence of decision on real-time data is reduced, and the response capability and operation stability of the system for responding to dynamic demands and complex scenes are greatly enhanced, and thus, the system is more intelligent. And finally, efficient, intelligent and networked collaborative management of the electric vehicle charging service is realized.

Systems, methods, and devices for monitoring and controlling communications between autonomous agents are disclosed. The system monitors real-time communications between autonomous agents, intercepting and recording each communication. Communications are translated to a standardized language and processed through communication protocol filters that evaluate compliance with predefined operational policies. The system parses each translated communication to identify policy violations. When violations are detected, the system modifies communications to ensure compliance with operational policies. All communications and modifications are recorded via distributed ledger technology for audit and accountability purposes. This approach enables comprehensive oversight of autonomous agent interactions while maintaining tamper-proof records of all monitoring and control activities.

The invention discloses a self-adaptive threat blocking method and system oriented to industrial control protocol deep analysis, and the method comprises the steps: constructing an industrial control protocol multi-dimensional analysis model, extracting an operation code semantic rule, a parameter structure constraint and session state hopping features based on protocol reverse engineering, generating a protocol syntax tree, and blocking a threat from the protocol syntax tree. Wherein the operation code semantic rule is matched with the service primitive mapping of an abstract communication service interface in the IEC 61850 standard; based on the protocol syntax tree, semantic-level analysis is carried out on real-time communication flow, dynamic indexes are extracted, the dynamic indexes comprise a process value mutation gradient, an instruction sequence logic conflict degree and a session state abnormal jump rate scale, and a three-dimensional threat feature vector is generated. According to the method, hidden attacks are accurately recognized through industrial control protocol semantic analysis and multi-dimensional dynamic blocking, so that the defense action and the production stability can be collaboratively optimized.

The invention belongs to the technical field of intelligent logistics and storage automation, and particularly relates to a seeding wall scheduling method and system.The closed-loop intelligent scheduling of perceptual prediction decision correction is achieved by constructing a real-time synchronous three-dimensional digital twinning environment, and the method comprises the steps that a wave task is decoupled into an atomic unit; dynamically and preferentially allocating the AGVs based on a multi-factor cost function fusing the driving distance, the network load and the order emergency degree; advanced simulation is carried out in a digital twin environment, time overlapping conflicts of path nodes and queuing conflicts of seeding wall entrances are accurately predicted, and a differentiation strategy is adopted for resolution; meanwhile, on the basis of real-time communication, track and order abnormity detection results, an AGV path is corrected in real time. According to the method, the transformation from passive response to active prediction and from local optimization to global coordination is realized, and the AGV cluster operation efficiency, the response speed and the scheduling robustness are remarkably improved.

Techniques and solutions are described for encoding and decoding signals, such as audio data. Disclosed innovations can find particular use in speech coding applications, such as for real time communications. Using a neural network, contextual coding can be used to encode latent features for a current frame using a prediction from reconstructed latent features of past frames as a context. An extractor learns a residual-like feature based on such prediction and latent features of the current frame obtained using an encoder. The residual-like feature is then quantized. At a decoder portion of a coding framework, the quantized feature is dequantized and then combined with a prediction from prior reconstructed latent features to provide reconstructed features of a current frame, which can then be processed by a decoder to provide a reconstructed signal.

The invention provides a multi-unmanned aerial vehicle airborne cooperative control method, electronic equipment and a readable storage medium, the multi-unmanned aerial vehicle airborne cooperative control method comprises the following steps: S1, dispersing control logic to each unmanned aerial vehicle through a distributed control architecture, and establishing communication connection between the unmanned aerial vehicles; s2, adopting a real-time communication mechanism to realize information exchange and collaborative decision-making among the unmanned aerial vehicles on the communication connection among the unmanned aerial vehicles; s3, according to the task demand, the information exchange result and the collaborative decision result, generating a collaborative control scheme and executing the task; s4, adjusting the structure of the unmanned aerial vehicle system through a dynamic reconstruction mechanism and the distributed execution task; and S5, state monitoring is carried out on the adjusted unmanned aerial vehicle system structure, and abnormal conditions are processed. According to the invention, the distributed control architecture and real-time communication capability of the ROS2 are utilized to realize efficient, reliable and extensible multi-unmanned aerial vehicle cooperative control.

The invention provides a motor multi-band vibration suppression method and a motor multi-band vibration suppression device based on electromagnetic-mechanical cooperative regulation and control. According to the method, vibration signals are collected in real time, and spectral analysis is carried out to identify vibration frequency distribution; dividing the vibration signal into a low-frequency band, a middle-frequency band and a high-frequency band according to a spectral analysis result, and respectively corresponding to a mechanical vibration source, an electromagnetic excitation source and a structural noise source; a control strategy is dynamically selected based on a vibration frequency band, a low-frequency band triggers a mechanical regulation and control module to output a reverse force to perform vibration suppression, a middle-frequency band triggers an electromagnetic control module to optimize a current waveform and a PWM modulation mode, and a high-frequency band starts a cooperative control strategy of the electromagnetic and mechanical control module; through real-time communication between the controller and each module, vibration feedback signals are continuously monitored, and control parameters are dynamically adjusted according to working condition changes so as to maintain the vibration suppression effect. According to the invention, through cooperative adjustment of electromagnetic control and a mechanical structure, active suppression of vibration of the motor in multiple frequency bands is realized.

The invention discloses an under-actuated unmanned surface vehicle safe formation tracking control method based on robust obstacle control. The method comprises the following steps: establishing a multi-unmanned ship group and performing real-time communication, and enabling each follower to follow a leader according to a formation configuration and to avoid an obstacle; a safe formation tracking control framework of the underactuated unmanned surface vehicle is established, during formation tracking, followers input state information into the control framework, processing is carried out according to a reference trajectory of a leader and real-time information of a current follower and an obstacle, and forward and steering control torque instructions are output to control the current follower. Obstacles are avoided and formation configuration is restored to continue following the leader. According to the method, the underactuation characteristic problem of the unmanned surface vehicle is solved, the worst case error generated when the neural network approaches the unknown dynamic state can be effectively compensated, it is ensured that the unmanned surface vehicle can strictly avoid collision with the obstacle in the complex environment, and meanwhile the formation tracking performance is optimally kept.

The Portable Digital Twin Robotic System based on Computer Vision for the Identification, Tracking, and Destruction of Suicide Drones is an innovative system that autonomously identifies, tracks, and destroys suicide drones by leveraging Digital Twin and computer vision technology. This system analyzes visual data using artificial intelligence algorithms and performs precise positioning in real-time. Aided by the Digital Twin, the precise simulation of the system's dynamics and movement enables the optimization of paths and precise control of the robot, while the real-time communication between the digital model and the physical robot provides the capability for immediate updates of control algorithms and predictive maintenance. The portable design and the capability to be connected to various types of weapons make this system suitable for installation on military and non-military platforms and improves the security of sensitive areas.

The invention relates to the technical field of communication, in particular to an intelligent selection and switching method and system for power line broadband carrier communication channels. According to the method, the multi-modal channel quality basic data including the signal quality modal data, the transmission performance modal data and the interference characteristic modal data are introduced, and a scoring mechanism of the signal stability, the transmission efficiency and the anti-interference capability is combined, so that the comprehensive evaluation precision of the power line communication channel quality is effectively improved; real-time communication state information of upstream and downstream equipment is dynamically obtained through a feedback link, a channel quality score is optimized and corrected, and a communication demand matching degree is comprehensively considered, so that the intelligence and the adaptive capability of channel selection and switching are further improved, and therefore, a comprehensive evaluation index of a communication channel can be monitored in real time, and the communication efficiency is improved. The optimal communication channel is automatically selected or switched according to the evaluation result, so that the stability of the communication quality and the transmission efficiency are ensured, and the reliability of the power line broadband carrier communication system is effectively improved.

The invention particularly relates to a task scheduling method and system based on a distributed scheduling framework, and relates to the technical field of distributed computing and task scheduling. The resource coordinator is connected with a conflict detection module; a conflict resolution arbitration module; and a final consistency state synchronization module. According to the invention, the lock-free design of the optimistic scheduling decision module and the local cache mechanism break through the dependence of the traditional scheduling on the global real-time consistent state, and realize the top-speed decision in the high-concurrency scene; the local cache with timeliness deviation adopts a hierarchical index structure and a dual-mode updating mechanism, so that a scheduler is supported to complete calculation only by depending on local data while the cache freshness and the updating overhead are balanced, cross-node real-time communication is not needed, and the decision delay is lower.

The invention discloses an SCD (Substation Configuration Description) file consistency verification method based on SV (Sampled Value) and GOOSE (Generic Object Oriented Substation Event) messages, which comprises the following steps of: respectively acquiring actual process layer network parameters of the SV messages and various GOOSE messages in Ethernet frame data of an SCD model file and a process layer network, actual model information of corresponding control blocks and actual data set information associated with the corresponding control blocks; according to the method, the SCD file is directly compared with the in-station SV and GOOSE messages, the consistency with the in-station actual situation can be guaranteed, the method is compatible with various protection devices before and after nine-unification, the model consistency can be verified by analyzing the real-time communication messages of process layer equipment, and the method has the advantages that the method is simple and convenient to operate and high in practicability. And the accuracy and the reliability of a checking result are fundamentally ensured.

A computer facilitates display of content, and when criteria are satisfied, displays an option for initiating a process to display the content at a location by a second computer, facilitates initiation of a spatial real-time communication session with user(s) in a 3D environment, shares content with a second computer in response to selection of an element, in response to different inputs directed to a user of the second computer and to the content, and / or in response to movement of the content to an element, displays a sharing user interface for selecting content to share with a user in response to selection of an element displayed when the user is in a viewport of the computer, initiates a process to present a visual indication on a second computer in response to criteria being satisfied, and / or adds a user to a communication session in response to input directed at a user interface.

The invention discloses a combined machining system with five-axis linkage control and four-spindle independent control functions. The combined machining system integrates high-precision combined CNC machining equipment, an AGV (automatic guided vehicle) logistics device and an MES (manufacturing execution system). According to the system, four high-speed main shaft units are arranged in parallel in the X-axis direction, an inclinable workbench is independently installed in front of each main shaft unit, and the system has the functions of inclining by + / -110 degrees and rotating by 360 degrees. Each workbench is provided with a center pressing type circular quick-change clamp adapter, and a 3D identification mark is embedded into each workbench so that the AGV logistics device can automatically identify and replace the center pressing type circular quick-change clamp adapter. According to the system, an MES instructs the AGV to enter a standby state in advance through an M330 forecast signal output by the CNC, then after automatic cleaning and door body opening operation are sequentially executed, the AGV enters equipment to complete clamp replacement, real-time communication among the MES, the CNC and the AGV is achieved on the basis of an OPC-UA protocol in the whole process, and the MES issues a Cycle Start signal only when all working conditions are met, so that the high-speed unmanned continuous machining process is ensured.

The invention relates to the technical field of data processing, in particular to a report generation method and system based on dynamic configuration and multi-source heterogeneous data fusion, and the system comprises a dynamic data source management module, a visual template design module, a real-time data rendering module and a multi-dimensional analysis module; the method has the beneficial effects that unified access and intelligent switching of multiple types of data sources are realized by designing a standardized interface and a flexible architecture, a visual template designer is constructed to reduce a report customization threshold, a real-time communication protocol is adopted to guarantee timely updating of data, and a multi-dimensional analysis engine is integrated. The invention aims to improve report generation efficiency and flexibility, reduce development and maintenance cost, meet diversified business scene requirements and provide an efficient and intelligent dynamic report generation solution for a user.

The invention belongs to the technical field of crown blocks, and provides a crown block real-time communication implementation method and system in an interference environment, electronic equipment and a storage medium, and the method comprises the steps of terminal control instruction execution, communication transmitting frequency band determination, state data packaging, beam direction adjustment, frequency hopping anti-interference analysis, strategy updating and abnormal emergency processing. Through a dynamic optimization mechanism of a frequency hopping communication strategy and a low-interference frequency hopping strategy prediction model, a current frequency band strategy is optimized in real time according to environment information and communication quality feedback, and the interference resistance of a communication frequency band is optimized; through a beam adjustment strategy and EOE protocol packaging, the signal strength is enhanced, signal attenuation and multipath interference are reduced, and the real-time performance of data transmission is improved.

A method for real time communication in a virtual environment. The method includes presenting, in the virtual environment, a virtual payment object associated with a first user and a virtual payment processing object associated with a second user. The virtual payment object is associated with a real payment object. The virtual payment processing object is associated with a real payment processing service. Responsive to detecting an interaction in the virtual environment between the virtual payment object and the virtual payment processing object, data describing the real payment object is transmitted to the real payment processing service via a real time communication protocol, causing the real payment processing service to process a real payment from the real payment object to an account associated with the second user in near real time.

The invention relates to the technical field of embedded system development and verification, and discloses an embedded software full-digital excitation deployment method, system, device and medium, and the method comprises the steps: based on a virtualization modeling technology of a multi-core heterogeneous system, simulating a CPU architecture, an operating system, board card peripherals and peripheral interfaces of a target processor, constructing a general digital target machine; a cross-platform communication framework is established based on a real-time communication transmission technology of direct digital frequency synthesis, and real-time synchronization of data of a virtual environment and an interaction object is completed; and through cooperation of the general digital target machine and the cross-platform communication framework, full-digital deployment and verification of the embedded software are completed. According to the method, full-digital development and verification of the embedded software can be realized, a research and development mode of parallel hardware development, software development and system function verification is met, and the research and development efficiency of the embedded software is improved.

The invention discloses an industrial firewall device based on time sequence atlas detection, which relates to the technical field of industrial control network security and comprises the steps of protocol identification, feature extraction, time sequence atlas construction, baseline modeling, online detection and response protection. Extracting time sequence characteristics such as a request-response relationship, a time interval and an event sequence, and converting the time sequence characteristics into a time sequence graph on which nodes correspond to communication events and edges correspond to time sequences; and generating a baseline map based on normal data, comparing the deviation between the current map and the baseline map in real-time communication, and executing a protection action after judging abnormality. The device for realizing the method comprises a data acquisition module, a feature extraction module, an atlas modeling module, a detection analysis module, a protection response module, a man-machine interaction module and a wide-voltage power supply module which are electrically connected in sequence. According to the method and the device, hidden time sequence attacks can be accurately identified, multiple industrial protocols are supported, and the adaptive resource-limited industrial equipment is designed in a lightweight manner.

The invention discloses an ultra-low splashing robot welding system and method based on intelligent waveform control, and relates to the technical field of robot welding, and the method comprises the following steps: collecting historical welding data, extracting steady state molten pool characteristic parameters, and constructing an associated database; establishing a three-dimensional coordinate system, and setting and verifying a molten pool monitoring area; molten pool images and temperature field distribution are collected in real time, dynamic molten pool characteristic parameters are extracted, the deviation degree between the dynamic molten pool characteristic parameters and steady-state characteristics is calculated, and whether waveform adjustment is triggered or not is judged by combining arc signals; a reference waveform parameter is called according to the current working condition, the waveform adjustment amount is output through a neural network, an intelligent welding waveform instruction is generated, and a welding power source and a robot are controlled to move through a real-time communication link; and monitoring the state and the splashing amount of the molten pool after adjustment, evaluating the splashing inhibition rate, and optimizing the system. Intelligent closed-loop control in the welding process is achieved, splashing is remarkably reduced, the welding stability and quality are improved, and the method is suitable for various automatic welding scenes.

A device may include a data acquisition layer comprising a patient information collector and a drug information collector, each operable to ingest patient-specific clinical data and drug-specific data, respectively. A device may include an analysis engine comprising a multi-criteria ranking engine configured to compute composite suitability score for candidate medications by weighting one or more of medication efficacy, medication safety, medication resistance, medication cost, or patient-specific coverage factors. A device may include a presentation layer comprising a summary dashboard configured to display a ranked medication recommendation set produced by the analysis engine.

The invention relates to the technical field of unmanned aerial vehicle interference, and provides an unmanned aerial vehicle communication link countering system based on a Vivaldi antenna, an antenna array, and the system comprises a signal receiving unit and a signal transmitting unit. Wherein the antenna array is formed by fixing at least two groups of Vivaldi antenna units which are arranged in a staggered manner in the extensible mechanical frame; the broadband interference component is used for responding to the spectrum signal of the to-be-suppressed unmanned aerial vehicle through a receiving unit and generating a first interference signal; wherein the interference frequency band corresponding to the first interference signal is the same as the real-time communication frequency band of the to-be-suppressed unmanned aerial vehicle, and the extensible mechanical frame is used for responding to the first interference signal and determining the number and angle of the expanded area arrays.

The invention discloses a satellite switching method and device, equipment, a storage medium and a program product. The method comprises the following steps: performing communication quality prediction based on historical communication index data, reflected pulse intensity data and spatial position data, and determining predicted communication quality data; and performing communication demand analysis based on the communication service parameters of the user satellite communication equipment, and determining communication demand data. And matching at least one target satellite from the plurality of satellites to be selected based on the communication demand data and the predicted communication quality data. According to the technical scheme provided by the invention, the continuity and stability of communication connection of a user in a satellite communication process are fully guaranteed, and the problem of lagging or interruption in real-time communication services such as satellite communication is effectively avoided. According to the technical scheme provided by the invention, satellite switching can be flexibly adjusted and formulated according to the current service demand of the user, smooth and stable execution of the service is ensured, and the user experience is effectively improved.

A method and apparatus for dynamic orchestration of distributed artificial intelligence in a network including a user device, an edge server, and a cloud server. The method includes receiving, at the user device, input data comprising at least one of audio, video, image, or text; identifying a requested operation based on the input data; obtaining dynamic environmental information of the network relating to computing resources and network conditions of the user device and at least one of the edge server or the cloud server; determining, based on the requested operation and the dynamic environmental information of the network, a distributed allocation of the requested operation among the user device, the edge server, and the cloud server; and orchestrating the requested operation according to the distributed allocation.

The invention discloses a dexterous hand grabbing stability control system and method based on force control compliant interaction.The system comprises a dexterous hand, a mechanical arm, a force sensing module, a touch sensor, an actuator and an upper computer actuator, the dexterous hand is installed at the tail end of the mechanical arm through a mechanical interface, and the dexterous hand and the mechanical arm form a cooperative control closed loop through real-time communication; according to the control mode of the dexterous hand grabbing stability control system, the upper layer completes object positioning and global motion planning through a mechanical arm, the lower layer completes a layered collaborative architecture of contact perception, compliant control and task action execution through a dexterous hand, and compliant grabbing and stable control over objects are achieved. The mechanical characteristics in the grabbing process can be adjusted in a self-adaptive mode, it is ensured that objects with different hardness are stably and smoothly grabbed, and the problem that the objects slide or are damaged is effectively solved.