1081 results about "Real-time communication" patented technology

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 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 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 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 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 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 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 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.

The invention provides a universal control system for a body-equipped robot and the body-equipped robot. The system comprises an elastic microkernel, a time-sensitive bus network and hardware components which are deployed in the body-equipped robot, the elastic microkernel is in communication connection with each hardware component through a time-sensitive bus network; the elastic microkernel deploys a basic industrial operating system, virtualizes a plurality of virtual domains in the industrial operating system according to an application scene of the robot with the body, and constructs a real-time communication framework based on deterministic communication middleware in the industrial operating system; the elastic microkernel is further provided with a hardware abstraction layer, a mainstream hardware instruction set is integrated in the hardware abstraction layer, and cross-platform support is provided for functional software in the virtual domain through a standardized interface. According to the method, the problems of scattered computing resources, complex communication and the like in the prior art are solved, and a highly-integrated, flexible, extensible and cross-platform compatible control scheme is provided for the robot with the body.

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.

The invention discloses a Chinese herbal medicine intelligent drip irrigation regulation and control system based on end-cloud cooperation, and relates to the technical field of agricultural intelligent irrigation, and the system comprises an edge equipment end which is deployed in a Chinese herbal medicine planting area, comprises a multi-mode sensor module, a communication module and an irrigation execution mechanism, and is used for collecting soil humidity, illumination intensity and meteorological data in real time, and sending the collected data to a cloud server; and the drip irrigation valve is controlled through the irrigation executing mechanism. According to the Chinese herbal medicine intelligent drip irrigation regulation and control system based on end-cloud collaboration, through an end-cloud collaboration architecture and a hierarchical decision-making mechanism, the drip irrigation regulation and control accuracy and real-time performance in a Chinese herbal medicine planting environment are improved. A local AI inference engine of the edge equipment end is combined with a dynamic learning module, an optimization instruction can be automatically generated during network fluctuation, dependence on real-time communication of the cloud end is reduced, and continuity and reliability of irrigation operation in complex terrains are ensured.

The invention discloses an indoor environment control method based on a two-stage function, and belongs to the field of indoor environment control, and the method comprises the steps: obtaining the division information and function demand data of a multifunctional region, including the temperature, humidity preference and personnel activity density of each region, carrying out the clustering processing of the demand data through a region function analysis module, and obtaining a region function analysis module; obtaining a microclimate regulation target parameter set of the multifunctional region; according to a parameter transition function set according to a boundary condition and an equipment regulation and control signal, a cooperative control strategy is adopted to optimize multi-region microclimate regulation, and a distributed optimization algorithm is adopted to perform iterative coordination on the regulation and control signal of each region to obtain a globally optimized environment control execution scheme; and the optimized control execution scheme is issued to execution equipment, including an air conditioner, a humidifier and a fan, of each area through an environment control execution module, a control signal is transmitted by adopting a real-time communication protocol, and a dynamic adjustment result of indoor environment parameters is obtained.

The invention relates to the technical field of Internet of Things, and provides an obstacle avoidance method of an unmanned sweeper based on V2X communication and related equipment thereof. Space-time alignment and map initialization are carried out on satellite positioning information and real-time V2X communication data to obtain a reference electronic map, and rasterization fusion is carried out on the reference electronic map and laser radar point cloud data to obtain a dynamic obstacle probability map. Performing dynamic path planning on the dynamic obstacle probability map according to an A * algorithm to obtain an initial obstacle avoidance global path, and performing dynamic optimization on the initial obstacle avoidance global path according to real-time V2X communication data through a vehicle motion model to obtain a local optimization track; and performing motion analysis and instruction synthesis on the local optimization track through a differential driving model to obtain a driving control instruction. According to the invention, through multi-source information fusion, efficient probability mapping, double-layer path optimization and feedforward-feedback control compensation, the obstacle avoidance precision, the response speed and the driving smoothness in a complex dynamic environment are improved.

The invention relates to an underwater optical communication LDPC (Low Density Parity Check) coding processing method. The method comprises the following steps: determining a current channel quality grade based on a real-time communication distance and channel state information; dynamically selecting LDPC (Low Density Parity Check) coding parameters and modulation orders in combination with equipment mobile data and channel quality levels, and generating an adaptive parameter combination; performing error correction coding on the data according to the selected parameters and generating an optical communication signal; transmitting to a receiving end through an optical channel; and dynamically updating the coding parameter and the modulation order based on the feedback information of the receiving end. According to the method, the problem that a traditional fixed coding scheme is insufficient in error correction capability or wastes resources in a dynamic distance scene is solved by predicting the equipment moving trend and the channel state in real time and adaptively adjusting the coding parameters and the modulation mode, the error rate is remarkably reduced, the communication efficiency is improved, and the method is suitable for a complex and changeable underwater optical communication environment.

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 data monitoring and treatment method based on a power model, and relates to the technical field of data monitoring, and the method comprises the steps: S1, a cloud processor obtains an approved power system, and obtains a comprehensive verification value of each node of a line of the approved power system; and S2, carrying out real-time monitoring on the sensing device, extracting real-time communication parameter information of each node of the approved power system line, and obtaining a real-time communication monitoring abnormity evaluation value of each node of the approved power system line. And S3, according to the real-time communication monitoring abnormity evaluation value of each node of the approved electric power system line, locking the node of the demand management electric power system, and sending out an early warning. According to the method, the fluctuation condition of the communication parameters in each node of the power system line is monitored respectively, and the historical electrical parameters and environmental information of each node are concerned, so that the transmission and communication of data among the nodes of the power system are effectively monitored.

The invention discloses an intelligent operation and maintenance monitoring alarm method and system, and belongs to the technical field of monitoring alarm, and the method specifically comprises the steps: collecting the real-time communication data and a multi-dimensional dynamic label of each equipment node, the multi-dimensional dynamic label comprises a dynamically generated equipment state label, automatically updating label attributes and life cycles according to real-time communication data, generating self-adaptive alarm thresholds based on label matching dynamic threshold templates and historical data, constructing an equipment node network diagram, performing state evaluation based on the equipment node network diagram, and comparing, analyzing and judging whether the real-time state of each node is abnormal or not. Generating alarm information for the detected abnormal behavior, wherein the alarm information comprises a specific abnormal node, an abnormal data index and an abnormal reason prompt; according to the method, the dynamic threshold template is matched by using the historical data and the dynamic label, the adaptive alarm threshold is automatically generated, the fault node and the affected link are quickly positioned, the abnormal level is judged through real-time comparison and analysis, and detailed alarm information is generated.

The invention discloses a network flow confrontation defense method based on heuristic ant colony optimization, and belongs to the technical field of network security and privacy protection. According to the method, a self-adaptive disturbance generation strategy is designed according to spatial and temporal features of a network traffic trajectory, a disturbance injection rule meeting real-time constraint and direction consistency is established, an integrated substitution model is constructed, a feature fusion mechanism of spatial convolution, time sequence circulation and noise reduction coding is used, and a traffic fingerprint identification model with strong generalization ability is generated. An improved ant colony optimization algorithm is adopted to improve the disturbance search capability, and a batch processing method and a universal patch scoring mechanism are integrated to improve the defense universality of samples among different network flows. The method can be directly applied to a black box scene of real-time communication, gradient information or white box access permission of a target model is not needed, the attack recognition suppression rate exceeding 90% is achieved when only 20% of bandwidth overhead is increased, defense universality and deployment feasibility are remarkably improved, and meanwhile disturbance overhead is reduced.

The invention discloses a multi-mode intelligent tension self-adaptive control method, and belongs to the technical field of tension control of wire rod processing devices. According to the method, an LSTM-Transform hybrid model is utilized to realize the collaborative optimization control of tension prediction, the rotating speed and the pitch; by means of an edge computing architecture and a Modbus-TCP real-time communication protocol, a data processing and control instruction generation period is compressed to be within 50ms, and the dynamic response capability of a system is improved; and meanwhile, a graded safety protection mechanism is designed, a robust control mode is switched to at a millisecond level when vibration energy exceeds a limit or the temperature is abnormal, and the MES system is linked to push a fault code, so that the control precision is remarkably improved, the material loss rate and the operation and maintenance complexity are reduced, and a high-reliability and self-adaptive intelligent solution is provided for high-speed wire rod processing equipment.

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.