1389 results about "Real-time communication" patented technology

The invention discloses an unmanned aerial vehicle cluster control and navigation method based on MAPPO. The method comprises the following steps: extracting basic characteristic data of an unmanned aerial vehicle, calculating a comprehensive capability index of the unmanned aerial vehicle through dynamic characteristic analysis and standardization processing, and constructing a cluster isomerism matrix; calculating a communication quality index according to the real-time communication data, predicting link reliability data, constructing a dynamic communication graph, and generating an optimal communication topological structure; based on the cluster isomerism matrix and the optimal communication topological structure, calculating a task allocation fitness matrix, and constructing a hierarchical strategy model and a hierarchical value function; performing multi-dimensional analysis on the communication data, generating an information importance index, calculating transmission priority data, generating a bandwidth allocation matrix, and constructing a self-adaptive routing strategy; and calculating a strategy uncertainty index, constructing a robustness constraint condition, optimizing a strategy model and realizing distributed execution. According to the invention, the cooperative control efficiency and the system reliability of the heterogeneous unmanned aerial vehicle cluster are improved.

In some embodiments, a computer system facilitates the update of a spatial arrangement of one or more virtual objects in a three-dimensional environment from the viewpoint of a first user of the computer system while in a real-time communication session that includes a plurality of users. In some embodiments, updating the spatial arrangement of one or more virtual objects includes collectively moving the one or more virtual objects in the three-dimensional environment relative to the viewpoint of the first user.

The disclosure provides an intelligent horizontal transportation system for automatic loading or unloading at a container terminal. The system includes a plurality of autonomous transport robots (ATRs) and an ATR control system. The plurality of ATRs are configured to perform horizontal transportation tasks. The ATR control system is in real-time communication with the plurality of ATRs to manage and control the plurality of ATRs; the ATR control system is in real-time communication with a terminal management system, an automated yard crane, and an automated quay crane, so as to coordinate task scheduling between the automated yard cranes, automated quay cranes, and the plurality of ATRs. The ATR control system includes a task scheduling module, a dynamic path planning module, a standardized control interface module, a traffic management module, a lock station management module, a vehicle sequencing module, a charging scheduling module, a parking management module, and a remote driving module.

The invention relates to the field of low-altitude economy, in particular to a server communication optimization method and system based on low-altitude economy. The method comprises the following steps: monitoring an unmanned aerial vehicle communication relay node in a low-altitude field; carrying out node space position positioning calculation on the unmanned aerial vehicle communication relay nodes one by one, carrying out distributed relay topology fitting, and constructing a low-altitude relay communication network; collecting low-altitude real-time interaction information based on a low-altitude relay communication network; performing communication link bandwidth calculation on the low-altitude real-time interaction information, performing dynamic communication protocol modulation, and constructing a dynamic low-altitude adaptive communication protocol; identifying real-time communication state parameters of the relay nodes based on the low-altitude relay communication network; performing inter-node communication channel identification on the real-time communication state parameters of the relay nodes, performing optimal channel scheduling decision, and constructing an optimal channel scheduling strategy; current user communication data of the ground server is monitored. According to the invention, low-delay and high-efficiency server communication optimization is realized.

The invention discloses an industrial scene-oriented data acquisition system and an industrial scene-oriented data acquisition method. According to the invention, through the multi-level dynamic optimization design, the data acquisition efficiency and the system reliability in a complex environment are significantly improved. The system dynamically allocates thread resources based on the real-time communication state of the equipment, realizes stable throughput under a high-concurrency scene in combination with core binding and polling scheduling strategies, and ensures that millisecond-level response is still maintained when 10000-level equipment is accessed. The memory preloading and protocol template technology eliminates jitter during operation, the hierarchical resource isolation mechanism provides deterministic guarantee for key control instructions, and interruption of the production process due to data delay or resource competition is avoided. The data flow delay is further reduced through multi-protocol efficient analysis and intelligent cache management, seamless compatibility of heterogeneous equipment in a hybrid networking scene is supported, and the strict requirements of continuous production industries such as steel and chemical engineering for real-time performance and stability are met.

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 ship communication, in particular to a multi-link converged communication method and system for a ship. The method comprises the following steps: receiving navigation information broadcasted by other ships in a preset range, evaluating the availability of a communication frequency band, and generating sea area communication channel state data; acquiring geographic position data of each ship; space communication link potential analysis is carried out according to the geographic position data of each ship and the sea area communication channel state data, and cross-chain space communication potential data is generated; constructing a multi-link ad hoc network topological structure according to the cross-chain space communication potential data; and task adaptation communication link allocation is carried out based on a multi-link ad hoc network topological structure, and a multi-link fusion transmission strategy is constructed, so that real-time communication link safe switching management is realized. According to the invention, on the basis of communication service adaptation and a multi-link fusion transmission strategy, real-time communication safe switching and high-reliability transmission of the marine formation are realized.

The invention belongs to the technical field of intelligent electric power inspection and multi-agent cooperative control, and provides an electric power multi-agent dynamic cooperative inspection method and system, and the technical scheme is that a path planning scheme is generated by using a reinforcement learning algorithm and a large language model, so that an agent can dynamically adjust an inspection path according to real-time data and task requirements, and the inspection efficiency is improved. Therefore, the minimization of the path and the maximization of the inspection efficiency are realized, and unnecessary travel and resource consumption are reduced. Meanwhile, a dynamic task redistribution mechanism in the system ensures that the intelligent agent can quickly respond and redistribute tasks under the conditions of equipment failure, environment change or task priority adjustment. And real-time communication and data synchronization among the intelligent agents ensure information sharing, so that the system still keeps task continuity and reliability in emergency.

The invention relates to the technical field of building engineering automation, and discloses a building robot collaborative operation system, a BIM modeling module is used for establishing a three-dimensional model of building engineering and dividing the three-dimensional model into a plurality of operation areas; the information acquisition module is used for acquiring state information and working environment information of the robot; the central control module is used for performing task allocation and operation planning by using an ant colony algorithm; the information sharing module is used for carrying out real-time communication between the robots through wireless communication in the operation process, and sharing operation progress, state information and environment information; the operation evaluation module is used for monitoring the operation progress and state of each robot in real time, evaluating the operation effect of the robot, adjusting task allocation and planning strategies in time according to the evaluation result, optimizing the collaborative operation process of the robot, and improving the operation efficiency of the robot. According to the invention, the problems of unreasonable task allocation, low communication efficiency, difficult operation coordination and the like in the collaborative operation of the existing building robot are solved.

The invention discloses an intelligent navigation system and method for a ship in the technical field of ship navigation, and the system comprises a sensing module which is used for collecting the surrounding environment information and the state information of the ship in real time; the data processing and fusing module is used for preprocessing, calibrating and fusing the surrounding environment information and the self state information of the sensing module; the route optimization module is used for formulating a navigation plan and a collision avoidance strategy; the navigation control module is used for autonomously controlling the ship according to the output of the ship route optimization module; and the communication monitoring module monitors the navigation state of the ship and the change of the surrounding environment through real-time communication between the ship and a shore-based control center, other ships and a maritime affair management department. According to the method, data of different sensing units are associated, and the associated data are fused, so that mutual verification and complementation can be realized, and the accuracy and reliability of target identification are improved.

The present disclosure generally relates to methods and user interfaces for managing live communication between multiple participants using a computer system in accordance with some embodiments.

The invention relates to the technical field of communication control, and discloses an interconnection test method and system for a wireless communication module, and the method comprises the steps: collecting real-time communication data through a multi-source communication interface, extracting topological features through a graph theory model to generate a matrix, and obtaining a signal optimization parameter through a self-adaptive filtering model; and constructing a multi-target test path planning model and outputting optimal path data, and establishing a layered test execution model to complete the test. The system comprises a communication topology analysis module, a path dynamic planning module and a hierarchical test execution module. The method overcomes the defects of a traditional testing method, can comprehensively collect data, accurately analyze topology, effectively process signals, scientifically plan a testing path and perform layered collaborative testing, has remarkable effects in improving testing accuracy, efficiency and comprehensiveness, can adapt to the development requirements of a wireless communication technology, and ensures stable and reliable work of a wireless communication module.

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 provides a cloud intelligent driving control system based on a multi-modal large model, and belongs to the technical field of automatic driving. The system comprises a cloud multi-modal large model analysis and control module, a real-time remote driving takeover module, an advanced prediction and risk avoidance module, a cloud intelligent driving collaboration and optimization module, a multi-modal fault diagnosis and remote repair module and a real-time communication and interaction enhancement module. The system realizes cloud remote monitoring and control of the autonomous vehicle through interaction and cooperation among different modules, and assists the autonomous vehicle through remote control, so that the autonomous vehicle runs more safely; the early prediction and risk avoidance module of the system sets the prediction of the sight line of the vehicle and the prediction of the sight line of the vehicle, and sets corresponding prediction methods for the vehicles in two different environments for prediction in a mode of extracting different matrix samples, so that the prediction accuracy of the cloud system and the safety of the automatic driving vehicle are improved.

The invention relates to the field of unmanned aerial vehicle cluster control, in particular to a distributed unmanned aerial vehicle protective net dynamic generation optimization method and system. The method comprises the following steps: acquiring real-time environment sensing parameters and unmanned aerial vehicle real-time monitoring images; performing dynamic environment situation evolution on the unmanned aerial vehicle based on the real-time environment perception parameters, performing distributed cluster simulation, and constructing a distributed unmanned aerial vehicle cluster model; performing multi-target visual detection on the real-time monitoring image of the unmanned aerial vehicle, predicting the moving trend of each target one by one, and constructing a dynamic prediction path of each target; identifying an unmanned aerial vehicle communication module, and obtaining real-time communication network state parameters of the unmanned aerial vehicle cluster; and carrying out dynamic communication parameter optimization on the real-time communication network state parameters, carrying out instant communication topology adjustment, and constructing an instant communication optimization strategy. Through dynamic cooperative control of the unmanned aerial vehicle cluster, the anti-interference and fault-tolerant capabilities of the unmanned aerial vehicle cluster are enhanced, and the protection efficiency of the unmanned aerial vehicle protection net is improved.

The invention relates to the technical field of AUVs (Autonomous Underwater Vehicles), in particular to a real-time communication and positioning data fusion processing method for AUV (Autonomous Underwater Vehicle) collaborative operation, which comprises the following steps of: deploying a multi-modal sensor, acquiring communication data, kinematics data, acoustic positioning data and visual data required by an AUV, and preprocessing the data; the method comprises the following steps: fusing multi-modal data by using an extended Kalman filtering algorithm, calculating three-dimensional position and attitude information of the AUV in real time, carrying out dynamic path planning by using an ant colony optimization algorithm based on fused positioning data, optimizing a collaborative operation path between the AUVs, and sharing the positioning data and a path planning result in real time through an underwater communication network. And dynamically adjusting a task allocation strategy by using an improved task allocation algorithm, optimizing the cooperation efficiency, and finally, storing all data, path planning records and task allocation schemes in a database. According to the invention, the accuracy and stability of AUV collaborative operation are improved.

The invention belongs to the field of coal mine accident emergency management, and discloses a coal mine accident emergency response management system and method.A real-time multi-source data acquisition and fusion module acquires multi-source data and transmits the multi-source data to a central control room in real time for data fusion and processing; the intelligent decision support and accident simulation module performs accident scene simulation and provides intelligent decision support; the dynamic rescue resource scheduling and optimization module tracks the positions of rescue equipment and personnel, and dynamically optimizes a rescue path according to the real-time condition of an accident; the real-time communication and cooperation platform ensures real-time communication between the underground and the ground; the underground personnel positioning and evacuation system monitors the specific positions of underground personnel in real time and intelligently generates an optimal personnel evacuation route according to real-time environment data and accident simulation results. According to the method, the efficiency of accident emergency response is improved, casualties and property loss in coal mine production accidents are reduced, and the method has remarkable safety benefits and economic benefits.

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 circuit board detection, in particular to a circuit board sensor nondestructive testing method based on big data, which comprises the following steps of: acquiring temperature, pressure, current and voltage data of key positions of a circuit board sensor, sending the data to a central database through real-time communication for summarizing, and synchronously performing data preliminary screening; and checking the integrity and availability of the data to form sensor summarized data. According to the method, the difference value between each data point and the adjacent data point is calculated, and the variation amplitude of the continuous data points is monitored, so that tiny abnormal fluctuation can be more sensitively captured, potential fault signals can be marked, an abnormal mode can be compared with a recorded fault case, and the fault mode and the frequent occurrence area of the fault mode can be identified; the fault mode is directly associated with the operation condition, the accuracy of fault prediction is enhanced, the dynamic adaptability of the detection system is ensured through monitoring adjustment of detailed fault analysis, and the efficiency of fault response is remarkably improved.

An intelligent system for charging and maintaining an electric vehicle using IoT and AI, consisting of: a charging management unit configured to monitor and control the electric vehicle's charging cycles based on real-time power availability and vehicle battery status, with the charging management unit connected to a power grid; an Internet of Things (IoT) communication module operationally coupled with the charging management unit and configured to establish a network connection between the charging management unit and external servers, the electric vehicle, and various sensors distributed throughout the vehicle, with the IoT communication module enabling real-time data transmission;a sensor network comprising a variety of sensors integrated into the electric vehicle, including temperature, voltage, and current sensors, each configured to continuously monitor critical parameters of the battery and vehicle components and transmit data to the IoT communication module; an AI-based predictive unit connected to the IoT communication module, configured to analyze historical charging data, the current battery status, and environmental factors to optimize charging times and predict the electric vehicle's maintenance needs; a control processing unit operationally coupled with the charging management unit and the AI-based predictive unit, configured to dynamically adjust charging cycles based on AI-generated optimization recommendations;a maintenance planning unit integrated into the AI-based prediction unit and configured to automatically schedule maintenance operations based on predictive analyses of vehicle component wear and battery condition, with the schedule communicated to the vehicle user via a user interface; and a data encryption unit connected to the IoT communication module, the data encryption unit being configured to encrypt all real-time communication between the electric vehicle, external servers, and maintenance systems to ensure the secure transmission of sensitive vehicle information.

The invention belongs to the related technical field of medical health monitoring, and particularly relates to a flap blood supply monitoring and early warning system and method based on a wearing technology, and the system specifically comprises a wearable blood supply monitor of a client and a cloud real-time flap state monitoring platform of a medical end. The wearable blood supply monitor comprises a front-end flexible sensor used for detecting flap state indexes and communicating with a rear-end host in real time; and the rear-end host is used for sensor data processing and visualization, and is in real-time communication with the front-end flexible sensor and the cloud real-time flap state monitoring platform. And the cloud real-time skin flap state monitoring platform analyzes client data in real time, adopts a current machine learning model for classification to divide the skin flap blood supply state, and obtains a final skin flap blood supply state classification result through a voting mechanism. Compared with a traditional blood supply monitoring mode, microcirculation changes of the skin flap can be monitored in real time, the blood supply state of the skin flap can be intelligently judged, and the blood supply monitoring efficiency, accuracy and reliability are effectively improved.

The invention discloses an unmanned aerial vehicle aerial three-dimensional electronic fence construction method and system, and relates to the technical field of unmanned aerial vehicles, and the method comprises the following steps: dividing the region boundary of an electronic fence in a preset geographic range based on a geographic information system and a three-dimensional modeling technology, and calculating the range of the electronic fence; integrating the configured electronic fence to an unmanned aerial vehicle system, establishing a real-time communication and data exchange channel with the unmanned aerial vehicle, and receiving position information and flight state data fed back in the flight process of the unmanned aerial vehicle in real time; and monitoring the flight state of the unmanned aerial vehicle and the area boundary of the electronic fence in real time, and triggering an early warning mechanism when the unmanned aerial vehicle is found to have a boundary crossing behavior. According to the electronic fence system, the size, shape and position of the fence can be automatically adjusted according to the real-time flight state of the unmanned aerial vehicle and the environment change, the dynamic adjustment capability of the electronic fence is directly improved, and it is ensured that the unmanned aerial vehicle can always fly safely in the complex and changeable airspace environment.

The present disclosure generally relates to real-time communication user interfaces. A computer system displays a user interface corresponding to a real-time communication application that includes concurrently displaying a first user interface object corresponding to a first real-time communication session between a user of the computer system, where the first real-time communication session occurred prior to a current time, and a second user and a second user interface object corresponding to a second real-time communication session between the user of the computer system and a third user, where the second real-time communication session is scheduled to occur at a time after the current time. In response to receiving user input corresponding to a respective user interface object of the user interface, the computer system initiates a real-time communication session.

The present disclosure generally relates to methods and user interfaces for managing live communication between multiple participants using a computer system in accordance with some embodiments.

The invention provides a short message issuing processing method and system based on scene self-adaption. The method comprises the steps that a three-dimensional communication characteristic spectrum is constructed through a building information model and infrared thermal imaging data, short message request distribution is analyzed and predicted in combination with a signal attenuation field, cross-operator network quality data is integrated to form a converged communication quality field, and finally short message issuing is intelligently scheduled according to the network state and service requirements. According to the method, accurate short message routing optimization based on real-time communication quality and crowd distribution in a complex building environment is realized. According to the technical scheme provided by the invention, the short message delivery rate and timeliness in a complex building environment can be remarkably improved, and particularly, the communication reliability in a crowded area and a signal blind area is remarkably 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 invention provides a distribution agent ad hoc network method and system based on dynamic node collaboration, and the method comprises the steps: firstly obtaining a network state data set of all distribution nodes in a target network region, including real-time communication load, link stability and resource occupation characteristics, generating dynamic collaboration topology information based on the network state data set; comprising a node cooperation relation topological graph and a communication path weight table, a distribution agent strategy set is generated according to dynamic cooperation topological information, path optimization processing is carried out on a target distribution task according to an initial path distribution strategy, a dynamic load adjustment rule and a path switching trigger condition, and an optimized distribution path set is obtained; and deploying to the corresponding distribution node to execute dynamic cooperative distribution, and updating the network state data set according to the distribution real-time feedback data, so that the distribution efficiency and reliability can be 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 smelter equipment control, in particular to a smelter feeding multi-equipment cooperative control method, system and equipment, and the method comprises the steps: constructing a real-time communication network between smelter feeding equipment, synchronizing the clock signals of the smelter feeding equipment, and scheduling the transmission time sequence of control instructions according to the priority; continuously collecting operation state data of each smelting furnace feeding device according to a real-time communication network, and generating a device operation index according to a preset abnormality judgment rule; when the device operation index indicates that the first device is in an abnormal state, dynamically allocating a control task of the first device to at least one second device based on a current topological structure of the real-time communication network, and adjusting a link connection relationship of the real-time communication network; and according to the instruction interface type of the target equipment, converting the cooperative control instruction into an instruction format adaptive to the target equipment. According to the invention, the problems of multi-device communication delay, high abnormal detection misjudgment rate and low protocol conversion efficiency in a complex environment are effectively solved.

The invention relates to the technical field of data fusion transmission, and provides a heterogeneous data fusion transmission method and system for airborne multimode satellite communication. Acquiring real-time communication parameters including a dynamic spectrum occupancy state, a polarization direction difference and a hidden transmission demand level; generating a dynamic frequency hopping control instruction based on the time-varying characteristic of the dynamic spectrum occupancy state, driving carrier switching and reserving a spectrum isolation area between adjacent carriers; performing orthogonal polarization diversity analysis on the carrier switching result based on the polarization direction difference, suppressing cross polarization interference and outputting multiple paths of baseband signals; calling a preset waveform parameter library according to the hidden demand level to determine a modulation parameter, and loading the baseband signal to the asymmetric phase subcarrier to generate a hidden modulation waveform; and fusing the frequency hopping instruction and the hidden modulation waveform to generate a cooperative modulation instruction, and controlling the radio frequency unit to realize anti-interference fusion transmission. According to the technical scheme provided by the invention, the anti-interference capability of fusion transmission of multi-mode satellite data in a dynamic spectrum environment is improved.