176 results about "Adaptive communications" patented technology

The invention discloses an area terminal adaptive communication method and system based on link quality perception, and relates to the technical field of power area terminal communication by predicting link quality, comprising the following steps: predicting link quality according to multi-dimensional perception data to obtain link quality prediction data; determining a candidate link based on the service-link adaptation rule base, determining a target link according to the link quality prediction data of the candidate link, and performing data transmission through the target link; according to the real-time link quality data of the target link, whether switching is needed or not is judged in combination with the power grid operation state, and if switching is needed, the link priority is calculated to obtain an optimal link, and link switching is carried out; the method can adapt to a complex operation scene of a power grid, improves the link switching efficiency, improves the communication efficiency and communication reliability between the station area terminals, and solves the problem of low communication efficiency caused by poor environmental adaptability and relatively high switching time delay between a communication protocol and a module in an existing station area terminal communication technology.

The invention relates to the technical field of old people health management, and discloses a personalized health auxiliary management system based on artificial intelligence, which comprises a multi-mode sensing module, an intelligent preprocessing module, a dynamic knowledge graph module, a personalized inference engine module and a self-adaptive communication and interaction module. The multi-mode sensing module is used for acquiring physiological, environmental and behavioral data; the intelligent preprocessing module desensitizes and cleans data through federal learning, and extracts core features; the dynamic knowledge graph module constructs and updates an exclusive graph containing basic and dynamic nodes and associated edges; the personalized inference engine module generates a layered intervention scheme; and the adaptive interaction module adapts to the cognitive ability and synchronizes the scheme. According to the invention, health information integration and dynamic intervention are realized, the management accuracy and compliance are improved, and the method is suitable for home non-clinical scenes.

The invention relates to the technical field of address allocation, in particular to an automatic discovery and dynamic address allocation method for 485 bus equipment, which comprises the following steps: a host verifies a broadcast address and transmits an instruction to a bus, captures a delay response of a slave to establish a response queue, analyzes dense signals and peels off conflict fragments, dynamically adjusts sampling to generate rhythm mapping, and sends the rhythm mapping to the slave; address instructions are issued according to the sequence, the slave machines check, update and return receipts, the host machine collects and generates an allocation table, monitors signal drift, adjusts time sequence parameters, reconfigures response time periods, updates a synchronization state and completes recording. According to the method, a mapping mechanism based on a broadcast response time sequence is established, stable node distinguishing is obtained through signal multi-dimensional analysis, independent extraction and sequence self-correction are achieved through differential allocation and dynamic sampling, a self-adaptive communication structure is constructed, unified recognition pairing and rhythm coordination are achieved in address allocation, and the self-organization capacity is remarkably improved; concurrency conflicts are reduced, precision is improved, and communication consistency and efficient automatic addressing in a dynamic environment are ensured.

The invention discloses an AI development optimization system based on dynamic learning and an adaptive algorithm, and relates to the technical field of artificial intelligence, and the system comprises a collection module which collects GPU occupation data and transmission channel state data, and generates a separation operation signal; the identification module is used for triggering operation task analysis according to the separation operation signal and distributing a transmission channel identifier for the subtask; the path module queries the idle state of each computing unit of the GPU and generates an exclusive communication path; the detection module is used for running the subtasks in the exclusive communication path and outputting channel signal mixing degree; the triggering module is used for setting a mixing degree threshold value and triggering a path replacement signal and a merging operation signal; and the merging module suspends the sub-task processing process based on the merging operation signal, performs merging according to the operation sequence of the sub-tasks, and outputs a complete task. According to the method, efficient resource scheduling and task optimization of AI development are realized through coordination of dynamic task topology analysis and self-adaptive communication path binding.

The invention discloses a multi-serial-port peripheral automatic identification and protocol adaptive communication method in an embedded system. The method comprises the following steps: monitoring physical connection states of a plurality of serial ports in the embedded system; performing communication parameter self-learning on the target serial port, and determining a baud rate and a data format matched with the access equipment; automatically matching the features of the initial data frame with a plurality of protocol feature templates stored in a protocol feature library preset in the embedded system to obtain one or more candidate communication protocols; constructing a verification instruction by using a frame format of the candidate communication protocol, sending the verification instruction to the access equipment, performing interactive verification, and confirming a final target communication protocol according to a response result of the access equipment; and the self-adaptive communication link establishment aiming at the access equipment is completed. The method has the advantages that the problems that manual configuration is needed, deployment is tedious and errors are prone to occurring during mixed connection of multi-protocol equipment are solved, and the flexibility, expandability and deployment efficiency of an embedded system are remarkably improved.

The invention discloses a self-adaptive communication protocol switching method and device. The method comprises the following steps: acquiring network environment data corresponding to a target network environment, terminal equipment data corresponding to terminal equipment in the target network environment and service demand data; fusing the three kinds of data to obtain fused feature data; inputting the fused feature data into a network environment prediction model, and processing the fused feature data by using the network environment prediction model to obtain performance prediction data of each candidate network in the target network environment on a future preset time window; according to the adaptation capability value of each communication protocol in the protocol library under the performance prediction data; and after a target communication protocol is selected according to the adaptation capability value and the service demand data, switching to the target communication protocol. According to the invention, the technical problem that a conventional communication system adopts a fixed communication protocol and cannot be dynamically adjusted according to a network environment and service requirements in the prior art, which has great limitation, is solved.

The invention discloses an electric power marketing metering equipment abnormity early warning method and system based on edge computing, and relates to the technical field of electric power system monitoring, and the method comprises the steps: collecting the original multi-mode operation data flow of target electric power marketing metering equipment in real time during the operation of the system; performing sliding window segmentation and parallel feature extraction on the data stream to obtain a mixed feature vector; inputting the mixed feature vector into an isolated forest model and a gradient boosting decision tree model in an integrated anomaly detection engine, and calculating a comprehensive anomaly confidence score; generating a local early warning event or cache feature data according to the confidence score, and triggering an adaptive communication scheduling process; on the collaborative decision-making platform side, receiving and aggregating reported information, carrying out Bayesian network reasoning by combining the multi-source data of the power grid, and completing global anomaly verification and final decision-making; and starting a model evolution process according to a global verification result, executing incremental learning and generating a parameter updating package.

The invention discloses a multilayer space dynamic topology adaptive communication network construction method, and belongs to the technical field of communication networks. The method is realized through five steps of constructing a multi-layer fusion architecture of space-based, air-based and ground-based networks, instantiating network slices of power service perception, performing dynamic topology abstraction and resource pre-mapping based on virtual cell division, performing power and bandwidth collaborative allocation based on reinforcement learning, and deploying multi-domain fault diagnosis and predicting a closed loop. According to the invention, power and bandwidth collaborative allocation based on deep reinforcement learning not only can optimize the total capacity of the system, but also can realize dynamic balance of the network load. The system can automatically adjust the power and bandwidth distribution according to the real-time network state in the operation process, and the self-adaptive mechanism enables the network to efficiently cope with the demand changes of different power businesses.

The invention belongs to the technical field of battery abnormity identification, and provides a vehicle battery abnormal behavior identification method and application based on an adaptive communication gateway, and the method comprises the steps: collecting battery and vehicle data in real time, and integrating the data into a unified time sequence; calculating a dynamic working condition factor to generate a working condition label; constructing a space-time tensor in the space-time coding of the battery state; defining each battery monomer as a node, dynamically generating a connection weight between the nodes, and constructing a dynamic probability graph; the time anomaly and the space anomaly are fused, and a space-time joint anomaly energy value is obtained through weighted combination calculation; generating a dynamic abnormal threshold value, and performing abnormal judgment by combining the dynamic abnormal threshold value with a space-time combined abnormal energy value and gradient change thereof so as to trigger an alarm; and abnormal battery monomers are positioned, a space-time thermodynamic diagram is generated, and a diagnosis result is uploaded to a cloud platform through a communication gateway. According to the method, the working condition characteristics of the vehicle are analyzed in real time, and the space-time probability graph model of the battery system is dynamically reconstructed, so that working condition driven normal parameter fluctuation and potential fault signals can be distinguished.

A computer-implemented sustainable communications management system for monitoring, analyzing, and optimizing institutional communication practices with regard to sustainability goals. The system includes: a communication interface configured to receive communication-related data from a variety of digital and physical communication channels assigned to an institution; a processing unit that is operationally coupled with the communication interface and configured to process communication-related data with reference to a variety of sustainability parameters, including ecological, social and ethical dimensions; a storage system that is operationally linked to the processing unit and stores the following: predefined sustainability targets aligned with institutional goals; thresholds corresponding to key performance indicators (KPIs); and historical records of previous communication activities; a controller configured to coordinate the data flow between the communication interface, the processing unit and the storage, thus ensuring real-time updates of performance data; a sustainability assessment server configured to calculate sustainability impact assessments based on the correlation between the processed data and the predefined sustainability parameters; and a display interface configured to present the calculated impact assessments, performance analyses, and adaptive communication recommendations via a graphical dashboard accessible to authorized users.

The invention relates to a Manchester coded signal decoding method and a Manchester coded signal decoding system, and belongs to the field of electronic information, communication and power system automation. A plurality of clocks with the same frequency and different phases are generated according to Manchester encoding signals, the clocks are used for sampling the signals, a phase-shifting clock sampling method is used, dependence on a high-frequency clock is reduced, most interference in communication signals is determined to be eliminated according to a majority voting strategy for sampling results, and the accuracy of the signals is improved. And the seriously distorted signals are corrected according to special value enumeration, so that the interference of signal duty ratio distortion and burrs is reduced, and the decoding reliability is further improved. And finally, determining an original data stream of the signal according to the two level states of each code element. The method is used for decoding high-speed and ultra-high-speed Manchester encoding signals under the conditions of no high-frequency clock, poor data signal quality or unstable clock, and simultaneously realizing self-adaptive communication of different encoding formats.

The invention discloses a modular sensor adaptive integration and data processing method and system in a complex terrain environment, and the method comprises the steps: constructing an extensible sensor sensing layer through a standardized interface module, and achieving the plug and play of various environment monitoring sensors; performing an inspection task in a complex terrain area based on a mobile device, and performing fusion processing on real-time data acquired by multiple sensors through an edge calculation layer; according to the environment data characteristics, the terrain complexity and the running state of the mobile device, the inspection behavior strategy of the mobile device is dynamically adjusted, and follow-up data monitoring and processing are carried out; the processed real-time data is uploaded to a cloud collaboration layer for collaborative analysis in a self-adaptive selection communication mode, and fundamental conversion from a static and fixed monitoring mode to a dynamic and adaptive mode is realized through modular sensor integration, mobile inspection, edge intelligent processing and self-adaptive communication; and the coverage rate, the efficiency and the intelligent level of environment monitoring are remarkably improved.

The invention relates to the technical field of simulation, and particularly discloses a self-adaptive communication method and a heterogeneous interconnection multi-core distributed simulation experiment system node communication architecture, and the method comprises the steps: S1, detecting the state of a simulation entity, and judging the event triggering opportunity; the simulation entity comprises a semi-physical simulation entity and a parallel simulation entity; s2, when event communication is triggered, determining simulation entities which communicate with each other; and S3, performing data transmission between the simulation entities which are determined to communicate with each other, and encoding and decoding the data. According to the method, the distributed simulation requirement of the large-scale simulation entity is met, an optimal communication mechanism and a semi-physical model distributed simulation strategy oriented to large-scale simulation entity scheduling management are constructed, and the virtual-real interconnection and cluster control semi-physical simulation capability of a simulation experiment platform is further improved.

The invention discloses an intelligent help-seeking ring system based on low-power-consumption Bluetooth, and the system comprises a multi-mode sensor combination which comprises a motion sensor, a physiological sensor, and an environment sensor; the multi-level triggering module is configured to judge a user state through a preset multi-level early warning algorithm based on the fusion data acquired by the multi-mode sensor, and trigger corresponding distress signals according to different risk levels; the self-adaptive communication module is configured to carry out distress signal transmission through low-power-consumption Bluetooth; the self-organizing network system comprises a plurality of Bluetooth receiving nodes, and mesh networks are formed among the Bluetooth receiving nodes to relay and forward distress signals; and the monitoring processing system is configured to receive and process the distress signal from the self-organizing network system and execute a corresponding rescue response. By constructing the combination of the multi-level triggering module and the multi-mode sensor, the accuracy and the intelligent level of triggering the distress signal are improved.

The invention discloses an intelligent mine disaster early warning device and system, and the device comprises a multi-mode sensing array which comprises a bionic mine pressure sensor group, a gas spectrum fingerprint recognition module, and a micro-seismic beam forming array; the adaptive communication network comprises an edge preprocessing unit and a dual-mode communication module; and the dynamic risk assessment server is configured with a spatial-temporal feature fusion neural network and a threshold evolution engine. According to the invention, three-dimensional reconstruction of a stress field is realized through a tree-shaped groove substrate of the bionic mine pressure sensor group and a three-dimensional piezoelectric network, and a multi-mode sensing system covering stress, gas and slight shock is formed in combination with wide-spectrum gas fingerprint identification of the micro Fourier infrared spectrometer and the electrochemical sensor group. The spatial resolution and the gas type recognition coverage rate can be remarkably improved, dynamic correlation analysis of cross-modal data is achieved through the spatio-temporal feature fusion neural network, the disaster precursor feature capture sensitivity can be effectively improved, and the false alarm rate can be effectively reduced.

The invention relates to the technical field of software defined radio communication, and discloses a dual-mode adaptive communication method and system based on SDR. The method comprises the following steps: receiving an original wireless signal, preliminarily judging a protocol family, and activating a corresponding signal analysis engine and a channel evaluation engine; the signal analysis engine restores a complete communication message unit, and the channel evaluation engine quantitatively represents a channel state. The information of the two information is input into a dynamic decision-making network, and the network learns an implicit association rule between the semantic integrity of the message and the transmission reliability of the channel and outputs a collaborative decision-making instruction containing a mode priority weight vector. The instruction is finally compiled into a hardware configuration parameter sequence, and the radio frequency front end and the baseband unit are driven to reconfigure, so that mode self-adaptive switching is realized. According to the invention, cross-layer intelligent decision and flexible multi-mode scheduling are realized, and the reliability and efficiency of communication in a complex wireless environment are improved.

The invention relates to a non-cooperative end-to-end satellite adaptive communication system and method, and relates to the technical field of satellite communication, and the system comprises a satellite earth station which is used for detecting and selecting an idle channel meeting a preset condition through an adaptive decision controller in a non-cooperative mode; on the selected idle channel, initiating auto-negotiation link establishment to the satellite terminal according to the autonomously determined transmission parameters; monitoring a channel quality index of a communication link in real time through an adaptive decision controller, and autonomously adjusting a transmission parameter for sending a signal to a satellite terminal based on the channel quality index; the satellite is used for relaying communication signals between the satellite earth station and the satellite terminal in a transparent forwarding mode; and the satellite terminal is used for receiving and processing the communication signal issued by the satellite earth station without signaling negotiation with the satellite earth station. Compared with the prior art, the method has the advantages that the adaptive decision controller independent of the ISO seven-layer model is introduced, so that communication with limited voice quality is realized on the premise of reducing interference to legal users as much as possible.

The invention discloses a multi-mode software and hardware protocol adaptation communication system and method based on a configurable architecture, and belongs to the field of application software development, and the system comprises a communication processing service module which is used for providing function support for application programming; a unified application programming interface is provided, and programming modes for receiving and transmitting data by using the interface are unified; and the communication interface is used for providing a real communication function for a communication processing service, and the communication interface has the capability of adapting to various different software and hardware protocol programming interfaces. The development difficulty of the application software can be reduced, and debugging of the application software is facilitated.

The present application relates to the field of federated learning, and more particularly to a federated learning method and device for adaptive communication in a dynamic bandwidth scenario. The present application mainly comprises the following steps: first, each client trains an "adjustable" model based on SFW, which can be adjusted to any sparsity sub-model; then, the client selects the most suitable sub-model according to the current available uplink bandwidth resources and sends it to the cloud server; again, the cloud server aggregates the model parameters uploaded by the client using the "mask weight aggregation strategy" to obtain the global model; finally, the cloud server selects the most suitable sub-model from the global model according to the current available downlink bandwidth resources and sends it to the client, and the client updates the model parameters after receiving the parameters. The present application improves the problem of large communication overhead, low learning efficiency and performance degradation of the global model caused by network fluctuations in the dynamic bandwidth scenario.

The invention discloses a multi-agent marine transportation decarburization decision-making system based on an adaptive communication mechanism, which belongs to the technical field of marine transportation intelligent scheduling and comprises a sensing layer, an adaptive communication layer, a multi-agent decision-making layer, an execution layer and a feedback optimization layer. The adaptive communication layer dynamically adjusts communication parameters based on a carbon, communication and computing power ternary coupling mechanism, the multi-agent decision-making layer supports layered and flat dynamic switching and generates decisions by adopting a multi-target reinforcement learning model, and a full-link closed loop is formed through the feedback optimization layer. The method can adapt to a marine complex communication scene, balance global coordination and emergency response, realize global optimization of carbon emission reduction, timeliness, cost and energy accessibility, adapt to multiple ship types and sea area scenes, and provide an efficient and landing technical scheme for marine transportation large-scale decarburization.

The invention provides an online data monitoring method for a large number of battery PACK packages, and belongs to the technical field of power batteries. The method comprises the following steps: a data acquisition client is connected with a battery PACK packet and then adapts to a CAN communication protocol, monitors the battery PACK packet and power supply battery BMS data, binds the monitoring data with equipment information and uploads the monitoring data to a mobile server through a wireless network; the mobile server builds a database to store historical data and is synchronized with the terminal server, the router serves as a transmission medium to improve the signal range and the communication stability, and the super-network technology is adopted to improve the capacity of connectable equipment. According to the invention, a large number of battery PACK pack and power supply battery data can be remotely collected, the cost of monitoring the state of the battery PACK pack in the transportation and storage process is optimized, the power supply battery can be monitored in real time, the state abnormity can be quickly detected and alarmed, and the safety is improved.

The invention discloses a multi-field coupling robot self-adaptive inspection method and system based on a creative technology stack, and the method comprises the steps: reading a fixed historical parameter set in a previous inspection period, collecting the environment data of a current operation region, generating a control parameter set, calling thermal control and propulsion parameters in the control parameter set, and outputting real-time flow field data and attitude control quantity. Based on real-time flow field data and attitude control quantity, navigation speed and propulsive power are optimized, energy consumption data and path tracking data are synchronously recorded, a real-time signal-to-noise ratio is calculated by using environment real-time parameters, communication states are adjusted by combining communication bandwidth parameters in a control parameter set, and the environment real-time parameters and communication state data are synchronously received. Summarizing the data to complete data archiving; through heat-flow coupling control and multi-mode sensing fusion and environment adaptive communication and parameter iterative optimization cooperation, stable inspection in a complex flow field, zero-visibility defect identification and reliable return of noisy environment key data are realized.

The utility model relates to the technical field of industrial communication interfaces, in particular to an RS485 self-adaptive communication circuit with intelligent reflection suppression. The circuit comprises an RS485 chip, an automatic transceiving circuit and a micro-control unit, the enabling end of the RS485 chip is connected with the micro-control unit through the automatic transceiving circuit, and the transceiving state of the RS485 chip is controlled by the micro-control unit; the circuit is characterized in that an electromagnetic compatibility circuit is arranged between the input and output ends of the RS485 chip and the wiring terminal, and the electromagnetic compatibility circuit comprises a transient voltage suppression circuit, a resettable fuse, a pi-type filter circuit and a gas discharge tube. According to the utility model, the EMC circuit is improved, the circuit protection capability is increased, and the inter-stage coupling interference is reduced; an automatic transceiving circuit is improved, and transceiving state switching time is shortened. Meanwhile, the number of capacitive elements in the voltage acquisition circuit and the current acquisition circuit is reduced, and stray capacitance and signal rising time are reduced.

A novel approach is presented that enables human rescuers and human operators to explore and navigate treacherous and challenging environments safely and efficiently by providing an integrated, practical, flexible, and robust system. Leveraging advanced sensor deployment, adaptive communication networks, and real-time subject detection with AR-enabled navigation to enhance safety and real-time usability, a single practical solution is disclosed that is flexible, scalable, robust and error resilient, secure, energy-efficient, sustainable, and configured to optimize sensor placement and robot behavior to adapt to changes in the environment. Key innovations include federated learning for privacy-preserving model updates and multi-modal sensing for superior accuracy.

The invention relates to the technical field of mine safety monitoring, in particular to a heterogeneous baud rate adaptive communication method for mine safety monitoring, which comprises the following steps: a monitoring substation sends a baud rate synchronization frame to all slave devices; the slave device receiving the Baud rate synchronization frame performs Baud rate switching according to the Baud rate synchronization frame; the monitoring substation sends inspection commands to all the slave devices according to the device cache table, if the slave devices receive the inspection commands, feedback signals are generated and sent to the monitoring substation, and the monitoring substation classifies all the slave devices according to the feedback signals and the device cache table; all the slave devices are divided into A and B types of slave devices; storing the slave devices A and B in an initial baud rate device list; and the monitoring substation performs baud rate self-adaption on the A-type slave devices under a plurality of communication baud rates, determines the optimal baud rate of each slave device, and moves from the initial baud rate device list to the corresponding optimal baud rate device list. The Baud rate can be independently and dynamically adjusted according to the actual communication condition of the equipment.

The invention belongs to the technical field of intelligent manufacturing and digital twinning, and provides a method and a system for acquiring and synchronizing digital twinning data of an automobile welding workshop. Determining the sensitivity of the quantitative characteristics of each dimension to the welding quality change, and dividing the quantitative characteristics of each dimension into sensitive characteristics of different grades according to a sensitivity calculation result; hierarchical time synchronization and timestamp labeling are carried out on the extracted multi-dimensional quantitative features and sensitive features, and packaging is carried out; transmitting the packaged data in combination with a dual-channel adaptive communication mechanism; and classifying the received real-time multi-dimensional quantitative features, performing association mapping on the classified features and the corresponding models, and dynamically correcting the parameters of the digital twin model. The transmission delay of the welding quality key features is reduced, the synchronization precision is improved, and the system robustness is enhanced.

The present application belongs to the technical field of jig management, and provides a self-adaptive communication protocol system and implementation method for industrial jig management, which comprises: a control box in communication connection with a jig and sensing components and / or executing components; a server in communication with the control box through an industrial network, for real-name data acquisition, permission closed-loop management, parameter change audit traceability. The communication message adopts a structured frame structure, including a frame start identifier, protocol negotiation information, a message identifier, a function code, an operator identity field, field description information, a variable-length service data payload, network address information, an integrity check field, and a frame end identifier. The function code uniquely indicates a service domain and a service operation type; the payload contains a self-description field. The server maintains a function code register and a field template, the field template defines a field identifier, a field type, a length rule, and optional attributes; the control box frames and sends according to the field template, and the server parses and returns a response message. The present application can solve the problems of data fragmentation, difficulty in real-time tracing, extensive permission control, and non-transparent parameter change in industrial field jig management.

The invention relates to the field of airplane airborne system design, and discloses a Hypervisor-based cross-system adaptive communication architecture, method and equipment, a virtual machine monitor is introduced between two operating systems, so that the virtual machine monitor is located between the two operating systems, and the virtual machine monitor is responsible for managing hardware resources and providing a virtual operation environment for the two operating systems; according to the method, a virtual machine monitor is partitioned and placed in a shared memory area according to the type of cross-system data, and key real-time data can be preferentially transmitted without waiting for scheduling of a CPU (Central Processing Unit) by performing priority ranking on the data, so that the strict requirement of the aviation field on real-time performance is met; meanwhile, the division of the exclusive channel and the shared channel further optimizes the data transmission path. According to the invention, the data transmission speed can be effectively improved, and the time delay is reduced, so that the communication efficiency in the cross-system service process is improved.

The invention belongs to the technical field of wireless system application, and particularly relates to a radio frequency-based wireless signal test platform system and a building method thereof, and the system comprises an Android master control terminal, a radio frequency communication module and an environment sensing unit; the android master control terminal carries an industrial-grade android equipment operating system, an integrated presentation layer, a business logic layer and a data access layer; the radio frequency communication module is connected with the Android master control terminal through a serial interface and is used for dynamically configuring frequency bands, spreading factors and bandwidth parameters; an environment database is established by setting an Android master control terminal, a radio frequency communication module and an environment sensing unit, adaptive communication capability testing of various radio frequency modules is realized, wireless signal data can be visually tested anytime and anywhere by using an established testing platform and environment data, and dependence on a traditional darkroom and a frequency spectrograph is avoided; and self-adaptive setting of frequency bands, spreading factors and bandwidths of the module in different environments is realized through an existing environment database.