331 results about "Communication layer" patented technology

The invention relates to the technical field of robot scheduling, in particular to a distributed robot collaborative scheduling system and method in a dynamic environment, and the system comprises an environment sensing layer which is used for collecting environment dynamic data in real time; the distributed decision-making layer comprises local task scheduling modules of a plurality of robots; the cooperative communication layer is used for realizing task state synchronization and conflict detection among the robots based on a low-delay communication protocol; the dynamic weight calculation module is used for generating a real-time optimization weight according to the task emergency degree, the robot energy consumption and the path risk factor; according to the invention, by using a completely distributed collaborative scheduling architecture, through a decentralized task distribution mechanism and a distributed consensus protocol, a single-point fault risk existing in a traditional centralized scheduling system is thoroughly eliminated, and even if a part of robot nodes have faults or communication is interrupted, the system can work normally. And the system can still run continuously through autonomous negotiation of the remaining nodes, so that the reliability of the system in a complex environment is remarkably improved.

The invention discloses a visual algorithm self-training method based on multi-agent collaborative optimization, and the method comprises the following steps: constructing a multi-agent system architecture which comprises a user interaction layer, an intelligent scheduling layer, an A2A protocol communication layer and a professional agent cluster layer; the user interaction layer analyzes a user task intention and generates an execution plan; the scheduling agent calls the professional agent to complete data processing, model construction, training, testing and deployment; a task process is coordinated through a standardized communication mechanism, and task execution is supported by combining an MCP tool set, a knowledge base module and a memory system; and when the task fails, automatically executing rescheduling operation, and finally outputting a self-training result. According to the method, the development efficiency, the self-adaptability and the intelligent level are remarkably improved, and the method is suitable for computer vision tasks such as industrial detection, intelligent security and protection and automatic driving.

The invention relates to the field of wireless communication and intelligent networks, in particular to a software defined radio-based ad hoc network dynamic slicing architecture and a management and control method, comprising a basic communication layer, an intelligent control layer and a service execution layer. The basic communication layer adopts a multi-distribution multi-center clustering architecture; the intelligent control layer is responsible for intelligent management and resource scheduling of the self-organizing network, and the intelligent control layer comprises a plurality of command and control nodes; and the service execution layer adopts a micro-service-based architecture, and encapsulates different network functions and service logics into independent micro-service modules. According to the method, the technical problems of high plane coupling, resource scheduling rigidness, insufficient survivability and high hardware dependency in the prior art are solved.

An adaptive modular multimodal communication and computing panel includes a multilayer stack with a protective layer transmissive in selected bands, a reconfigurable communication layer operable in phased array, reflectarray, hybrid phased reflector, free space optical, or quantum modes, and electronics with heterogeneous processors. A multi scale interconnect and input and output fabric couples electrical, radio frequency, guided optical, and free space optical domains through interfaces including electro optic transduction and RF or baseband conversion. The fabric may implement programmable true time delay, resonators, and comb referenced timing. A management system coordinates beamforming, sensing, routing, calibration, workload placement, and security. Panels tessellate and connect by electrical, radio frequency, and fiber optic interfaces, supporting hot swappable modules, blind mate connectors, robotic servicing, and anti tamper features. Power and thermal subsystems harvest, store, regulate, and dissipate energy. The architecture scales from chip level modules to vehicle, airborne, maritime, orbital, and deployable systems.

The various embodiments herein provide a system and method for networked digital twins with autonomous collaborative decision-making. The system comprises a Digital Twin Engine for real-time data acquisition, model synthesis, and simulation, an AI Module for advanced data analysis, an autonomous collaborative decision-making module for optimized decision-making, a communication layer for secure data exchange, and supporting modules for coordination, storage, security, and user interaction. The method for generating and deploying digital twins comprises data collection, transmission, preprocessing, model synthesis, simulation, validation, and deployment. The method for networking and collaboration comprises AI-based data processing, complex event processing, autonomous decision-making, task distribution, decision communication, real-time monitoring, and continuous improvement. This system enhances operational efficiency, scalability, and security, reducing the need for human intervention and providing a comprehensive management solution for complex systems.

The application discloses a smart community management service system, and particularly relates to the field of service management, comprising a perception layer module, a communication layer module, a data processing layer module and an application layer module; the application realizes global intelligent management through the collaborative architecture of the perception layer module, the communication layer module, the data processing layer module and the application layer module; the perception layer is deployed with multi-source heterogeneous sensors, and data preprocessing is conducted in combination with edge computing; the communication layer adopts multi-protocol fusion transmission, supports 5G+NB-IoT dual-channel redundancy and end-to-end encryption; the data processing layer is based on a cloud-edge collaborative architecture, uses Kalman filtering denoising, D-S evidence theory fusion conflict information, LSTM-Attention prediction device failure, and constructs a digital twin simulation optimization energy consumption; the application layer provides a three-dimensional visual management and control platform, integrates security linkage, air conditioner group control strategy driven by reinforcement learning and convenient service scheduling, and supports cross-platform access and RBAC permission management.

The invention discloses a method and a system for verifying the reliability of remotely acquired data of an electric meter box, particularly relates to the technical field of communication and data transmission, and aims to solve the problem that the reliability of the remotely acquired data of the electric meter box is verified without changing an existing netmeter and a communication protocol. The invention aims to solve the problem of how to execute cross-layer reviewable reliability verification and quantitative credibility evaluation on a single reading result remotely acquired by an electric meter box so as to identify and eliminate the abnormity that communication is successful but data is not credible in real time, and support source end positioning. By introducing fusion of a cross-layer evidence set and an active detection mechanism, the credibility of each copying and reading result can be comprehensively evaluated. Multi-level data of a physical layer, a link layer, an application layer and the like are verified, and data exception is identified through active detection. Through the mechanisms, the method can effectively eliminate reading results which succeed in communication but have errors in actual data, thereby ensuring that the collected data are more reliable and accurately reflect the actual state of the electric meter.

The invention relates to the technical field of safe operation of a power system, in particular to a power distribution network information physical system fault collaborative recovery method, which comprises the following steps of: acquiring basic operation data of a communication layer and a physical layer, and respectively constructing fault recovery models of the communication layer and the physical layer; the communication layer takes optimal link performance as a target and applies constraints such as link capacity and connectivity, the physical layer takes multiple parameters such as load recovery as an optimization target and applies constraints such as network topology and power flow, and a double-layer optimization model, an upper layer optimization communication recovery strategy and a lower layer optimization physical recovery strategy are constructed for concurrent faults; and solving by using a double-layer optimization objective function to realize power distribution network fault collaborative recovery. According to the method, the interaction between the communication layer and the physical layer is comprehensively considered, so that the fault point can be more accurately positioned, the fault area can be quickly identified, the optimal recovery strategy is formulated, the power supply reliability is improved, and the healthy development of the smart power grid is promoted.

The invention provides a client identity authentication security evaluation method and system combined with adversarial sample simulation, and relates to the technical field of information security. According to the invention, end-cloud integrated evaluation is carried out under a white-box and black-box threat model for multi-mode identification objects of human face, voiceprint, fingerprint and behavior characteristics. The method comprises the steps of establishing reference performance through legal samples, generating transferable adversarial input, performing secure injection on a communication layer, calculating a robustness index, performing adaptive optimization, performing differential evaluation on protection effectiveness under protection configuration starting and non-starting, and performing risk grading and reinforcement according to a result. And finally, outputting a reproducible security and compliance conclusion through differential privacy and federal evaluation.

The invention discloses a laser cladding parameter self-adaptive control method and system based on AI digital twinning, and aims to solve the problems that in the prior art, laser cladding process parameter control depends on artificial experience adjustment and is difficult to adapt to material characteristic fluctuation, complex path heat accumulation and the like, and the final forming quality is affected. The invention provides a laser cladding parameter autonomous optimization method fusing digital twinning and Bayesian optimization, and aims to realize adaptive control of laser cladding parameters in a cladding process through Gaussian process modeling and real-time data iteration. According to the method, a digital twin system comprising a physical layer, a digital twin layer and a communication layer is constructed. Real-time data interaction and control instruction issuing are carried out between the physical system and the digital twin system through industrial communication protocols such as OPC UA, and closed-loop control is formed. The method can remarkably improve the quality and consistency of the formed part, reduces manual intervention, shortens the process development period, and has wide application prospects.

The invention belongs to the technical field of electric power system information physical fusion, and discloses an electric power information physical system modeling method and device based on digital twinborn and cross-domain joint simulation, equipment and a medium. The device comprises a physical layer used for acquiring basic data of a power network; the communication layer is used for constructing a communication network model and simulating communication among different subsystems in the power network; the digital twin layer is used for constructing a protocol conversion gateway to align semantics of the physical layer data and the communication layer data, and performing state estimation of the physical layer and the communication layer by adopting digital twin virtual-real interaction based on the physical layer data and the communication layer data which are subjected to semantic alignment; performing joint simulation of the physical layer and the communication layer in different communication time delays and communication fault risk conditions to obtain a simulation result; and the application layer is used for obtaining critical time delay and time delay-frequency sensitivity based on the simulation result.

A smart panel system comprises a network of interconnected smart panels, each including subpanels and micropanels. Each micropanel includes layers, such as a processing layer, communications layer, and module controller. The module controller uses an Artificial Intelligence Operating System (AIOS) to control and monitor the subpanels and micropanels. The AIOS includes software Artificial Intelligence (AI) agents dedicated to specific tasks, such as analyzing data, generating prompts, and applying AI outputs to the smart panels. The system can be monitored and controlled remotely using identification data, state data, and operating data transmitted by the smart panels.

The invention relates to the technical field of cross-platform application development, in particular to a cross-platform sky map component packaging method and device based on a unit-app X framework. According to the method, a four-layer packaging framework comprising an application layer, a communication layer, a WebView layer and a platform adaptation layer is constructed, and unified packaging and calling of sky map components of Android, iOS and a multi-platform gap are achieved. The application layer completes component initialization, instruction verification and standardization processing; the communication layer realizes data interaction and coordinate conversion; the WebView layer executes map API loading, instance management, covering rendering and event monitoring; the platform adaptation layer completes cross-platform authority management, WebView container adaptation and GPS position acquisition; and finally, the application layer integrates the data and encapsulates a TelchinaTdtUnix component to return a result. The problems that an existing cross-platform sky map component is poor in adaptability, disordered in authority management and low in interaction efficiency are solved, and the cross-platform compatibility, stability and development efficiency of the component are improved.

The invention provides a multi-Agent-based workshop management system and a cross-workshop migration method and system. The multi-Agent-based workshop management system comprises a sensing layer, an intelligent layer, an execution layer and a communication layer, a data acquisition module of the sensing layer is used for acquiring sensing data in a physical scene, and a sensing Agent of the sensing layer generates a corresponding virtual mirror image platform according to the sensing data and outputs an analysis result; the intelligent layer comprises a decision-making Agent and a coordination Agent, the decision-making Agent dynamically generates a global or local decision-making result according to an analysis result, and the coordination Agent monitors and evaluates the decision-making result through a preset mechanism and outputs an optimization strategy; the intelligent layer transmits the decision result and the optimization strategy to the execution layer; an execution Agent of the execution layer deploys a lightweight model through an edge calculation module, and analyzes a decision result and an optimization strategy into an equipment control signal to control equipment operation; and the communication layer provides an information interaction channel for the Agent of each layer. The limitation of a traditional layered architecture is broken through, and a self-organized, self-adaptive and self-optimized distributed intelligent ecological architecture is constructed.

The invention relates to the field of energy storage battery communication management, and particularly discloses a large-scale multi-node high-throughput data communication system of an energy storage battery, which comprises an equipment layer, a communication layer and a management scheduling layer, the management of the equipment layer on the battery comprises an IP mode and grouping management based on a battery state; a broadband industrial bus of the communication layer is used for data transmission among a BMU, a BCU and a BAU in the BMS and data interaction between the BMS and an EMS; the distributed domain bus is used for dividing the BMS into different domains, and cluster communication between BMS nodes is achieved in each domain. Cluster management is realized by using a distributed domain bus, the problems of complex wiring and difficult maintenance of traditional networking are solved, unified scheduling of energy storage devices of different manufacturers is realized through a self-defined domain address strategy, and addressing efficiency and distributed management and control capability of large-scale nodes are optimized.

The invention provides an intelligent dispatching and remote control method for a tower crane, which is applied to the field of fabricated house building construction and engineering equipment and aims to solve the problems of difficulty in dispatching the tower crane, low construction efficiency, severe operation environment and high safety risk in a clustered fabricated building. The method comprises the following steps: S1, constructing a distributed system architecture comprising a physical layer, a sensing control layer, a data processing decision layer, an application layer and a communication layer, and deploying equipment; s2, collecting environment, tower crane state and BIM model related multi-source data, and transmitting the data to a data fusion processing center for fusion; s3, planning an optimal hoisting path and a task sequence through the intelligent scheduling subsystem based on an ant colony algorithm; s4, a control mode is selected, a hoisting instruction is issued to execute a task, and forced braking is triggered in emergency; and S5, mapping a construction scene through a digital twin system, monitoring and alarming through an intelligent monitoring system, feeding back data to realize closed-loop optimization, and recording a digital file. According to the method, tower crane dispatching and construction efficiency is improved, construction safety is guaranteed, and intelligent construction of the fabricated building is promoted.

The invention belongs to the technical field of energy management, and discloses a user-side-oriented source-load-storage integrated comprehensive energy management system, and the hardware architecture comprises a sensing layer, a communication layer and a platform layer. On-site facilities of a source side, a load side and a storage side in the hardware architecture are accessed to the integrated energy management system based on the data collection and calculation unit, and data analysis and display are performed through the server; the software function architecture comprises a data layer, a service layer, an application layer and a display layer; the software function architecture supports the realization of the functions of stable power utilization, flexible scheduling and intelligent management of the source-load-storage integrated comprehensive energy management system; the system further comprises a terminal sensing module, a data collection and calculation unit and an optimization control strategy of the comprehensive energy management system. By adopting the source-load-storage integrated comprehensive energy management system facing the user side, the power consumption cost of the power consumer is reduced, the monitoring, analysis and management capabilities of the source-load-storage comprehensive energy are improved, and the distributed new energy consumption is promoted.

A system for content encapsulation and secure communication of content includes: a data agency manager configured to facilitate communication of content from a content owner computing device to a user computing device based at least in part on defined governance logic for the content; a data encapsulation layer in communication with the data agency manager, the data encapsulation layer configured to bind the content to the defined governance logic, wherein the content bound to the defined governance logic is associated with a digital agency capsule; and a communication layer in communication with the data agency manager, the communication layer configured to communicate one or more a digital agency capsules from the content owner computing device to the user computing device according to the defined governance logic in each a digital agency capsule.

The invention relates to an NUP-based intelligent control system for a thermal power plant, which combines a DCS with an NPU to construct a novel thermal power control system comprising a control layer, a calculation layer, a communication layer and a management layer. In a calculation layer, traditional control logic is executed in a DCS, and advanced algorithms such as artificial intelligence and the like are executed by an NPU acceleration module; a general compiler is adopted to support a mainstream programming language to construct an algorithm library, and a deep learning framework is combined to improve a function; the data management uses a lightweight database; and the communication layer adopts a high-speed industrial Ethernet and is compatible with a mainstream protocol to realize data interaction. According to the scheme, the defects of insufficient response speed, algorithm processing capability and parallel operation capability when a traditional DCS deals with the problems of new energy fluctuation and the like are solved, and the effects of improving the flexibility and stability of a unit, improving the calculation speed of an AI algorithm, reducing the data query and extraction speed, realizing self-adaptive adjustment of control parameters of the unit and iterative optimization of performance are achieved. And the system has good compatibility and expansibility, and can be seamlessly connected with the existing DCS system.

The invention discloses a task execution method, electronic equipment, a storage medium and a program product, and relates to the technical field of artificial intelligence. According to the task execution method based on the model context protocol, agents integrated by a multi-agent system serve as resources and tools which can be called in a resource tool library of a model context protocol server, and then the task execution efficiency is improved through a communication layer constructed based on the model context protocol. Uniform exposure and dynamic calling of agent tool interfaces are realized, information islands among multiple agents are eliminated, and cross-agent resource scheduling and task collaboration are optimized, so that the technical problem of low efficiency of resource scheduling and task collaboration execution due to the fact that a multi-agent system cannot fully utilize the capability of each integrated agent is solved.

The invention provides a vehicle-mounted system simulation platform, and relates to the technical field of simulation testing, and the simulation platform comprises an interception layer, a simulation layer, a communication layer and a vehicle-mounted intermediate layer service. The interception layer is used for intercepting interface calling of a vehicle-mounted intermediate layer service and forwarding calling parameters to the simulation layer; the simulation layer is used for abstracting a hardware opponent component corresponding to the calling parameter into a virtual control and generating an analog signal based on the virtual control; the communication layer is used for performing data synchronization between the simulation layer and the interception layer; and the vehicle-mounted intermediate layer service is used for carrying out simulation debugging according to the analog signal, and is used for realizing simulation debugging without depending on entity hardware equipment.

The invention discloses a data application security protection method and device adaptive to a novel power system, and relates to the technical field of novel power systems. According to the main technical scheme, firstly, a feature recognition model is used for conducting preliminary recognition, preliminary classification, redundancy removal and catalogue classification establishment on a large amount of interface communication between micro-services, which is equivalent to preprocessing of a large amount of interface communication data, and then on the basis, the content of the communication data is calculated. Especially, according to the label classification and service data corresponding to the interface communication, the security information of the interface communication is analyzed so as to provide a solution of security protection on the interface communication level.

Methods and apparatuses for signaling for user equipment (UE) reporting of channel measurements. A method of operating a UE includes receiving a configuration related to a channel state information reference signal (CSI-RS) and a first measurement report and measuring the CSI-RS across N sub-bands, where N is a positive integer. The method further includes identifying one or more layers for communication and determining the first measurement report. The first measurement report includes at least one entry. An entry in the at least one entry includes a layer index corresponding to a first reference signal received power (RSRP), a first set of sub-bands corresponding to the first RSRP, and the first RSRP. The method further includes transmitting the first measurement report.

The invention relates to the technical field of data processing, in particular to an advertisement media report aggregation system based on a big data engine, which comprises a presentation layer, a communication layer, a service layer and a data layer, the presentation layer is connected with the communication layer and is used for sending an HTTP request and receiving response data; the communication layer is connected with the service layer and the data layer, and is used for calling a permission verification service to verify the permission and initiating a routing request to a corresponding service to the service layer; the service layer is connected with the presentation layer and the data layer, the service layer is configured with query service and report service, the report service is used for processing report related requests and returning attempt configuration of corresponding reports, the query service is used for processing query requests, and the service layer is further used for generating response data and sending the response data to the communication layer. According to the scheme, efficient cooperation is achieved through modular decoupling, data security is guaranteed through query layer permission injection, row-level / field-level fine control is achieved, and the risk of unauthorized permission is reduced.

The invention discloses an intelligent energy management system of a photovoltaic-energy storage integrated prefabricated external wall panel. Efficient energy management is realized through a three-layer closed-loop architecture. A data acquisition layer acquires photovoltaic power Ppv, a battery SOC and a temperature Tbatt in real time; the central control layer constructs an energy matrix Ematrix based on an edge computing chip, and executes a three-level scheduling algorithm, and photovoltaic power supplies load preferentially, energy storage and charging are performed, and a surplus feed network is formed; and the communication layer interacts with a power grid through the LoRa module. The system integrates fuzzy PID (Proportion Integration Differentiation) control, LSTM (Long Short Term Memory) prediction, multi-mode dynamic switching (self-sufficiency / power grid assistance / peak shaving / emergency standby) and a safety protection mechanism (thermal runaway blocking and battery health management), and dynamic impedance matching and line loss compensation are combined, so that the energy utilization rate is improved, and the accident rate is reduced.

A system and method for malicious lateral movement detection. A method includes identifying atomic tunnels in packets sent between devices; identifying tunnel constructs; determining a potentially malicious atomic tunnel among the atomic tunnels by comparing edges of each of the atomic tunnels to edges of previously observed tunnel constructs; determining a potentially malicious tunnel including the potentially malicious atomic tunnel; and mitigating the potentially malicious tunnel. Each atomic tunnel is a structure representing communications among the devices defined with respect to at least three nodes and at least two edges. Each node represents a respective device, and each edge represents a connection between two of the devices. Each atomic tunnel has two hops, where each hop is a level of communication in which a packet is sent from one device to another device. Each tunnel construct is a structure including at least one of the atomic tunnels.

The invention discloses a virtual power plant distributed resource cooperative control method and device for a power distribution network, and belongs to the technical field of power system operation control, and the method comprises the steps: dividing the power distribution network into a plurality of voltage control regions, each region comprises a plurality of autonomous units and is provided with a voltage intelligent agent, and the voltage control regions are provided with region coordinators; a voltage agent collects local voltage through a sensing layer, exchanges data with an adjacent agent through a communication layer to construct an electrical neighbor relation network, constructs a local potential field function, dynamically updates voltage-reactive sensitivity by injecting a reactive test signal, and further calculates and outputs a reactive power regulation instruction and issues the instruction to a distributed resource; and when voltage out-of-limit or instruction oscillation is detected, the regional coordinator is activated, collects state information, redistributes reactive support tasks by using a consistency algorithm, sleeps after arbitration conflicts, and finally summarizes a result and an operation state to generate a report and uploads the report to the central controller of the virtual power plant. And the reliability, the self-adaptability and the operation efficiency of voltage control of the power distribution network are improved.

The invention relates to the technical field of civil engineering structure safety monitoring and Internet of Things communication, in particular to a bridge and tunnel structure health monitoring system and a looped network fault self-healing communication method. The system comprises a sensing acquisition layer, a ring network communication layer and a monitoring application layer, wherein the sensing acquisition layer comprises a plurality of data acquisition nodes which are deployed at key parts of a bridge and a tunnel in a distributed manner and is used for acquiring physical response data; according to the ring network communication layer, data acquisition nodes are connected in series through communication links to form a physical closed-loop topology, and each data acquisition node is provided with double communication ports and is connected with adjacent network equipment; the ring network communication layer operates an intelligent route switching mechanism, and can control nodes to switch a route path when a fault occurs. Through the three-level architecture, the physical closed-loop topology, the double communication ports and the intelligent route switching mechanism, the single-point fault hidden danger of a traditional communication architecture is solved from the source, and the system communication reliability and the data transmission continuity are greatly improved.

The invention provides a power distribution network voltage and frequency adaptive regulation and control system based on multi-source cooperation, and belongs to the technical field of intelligent power grid and power system automation, and the system comprises an equipment layer which comprises a distributed power supply, a hybrid energy storage system, an on-load voltage regulation transformer, a switchable capacitor bank and an intelligent load; the edge control layer is an edge controller deployed at each power supply node and is used for calculating a local voltage out-of-limit index and a frequency out-of-limit index in real time; the centralized optimization layer is used for predicting a controlled central server by taking a real-time calculation result as the input of a new energy output prediction model, generating a global optimization instruction and issuing the global optimization instruction to the equipment layer for control execution; and the communication layer is used for realizing data interaction between the edge control layer and the centralized optimization layer based on 5G communication technology and optical fiber hybrid networking. Dynamic balance control of voltage and frequency is realized, and network loss and equipment action cost are reduced.

The invention provides a low-power-consumption gas leakage monitoring system, and relates to the field of gas monitoring, the low-power-consumption gas leakage monitoring system comprises a terminal layer, a communication layer, a cloud layer and a defense layer, and the terminal layer comprises a light quantum sampling module and a neuromorphic aging network module; the communication layer adopts quantum key distribution to realize encryption, performs dynamic adjustment of a transmission period according to a QFT-GSS model risk score, and finally transmits the data to the cloud layer by using NB-IoT in combination with a PSM / eDRX mode; the cloud layer comprises a dynamic graph modeling module, a causal reasoning module and an anti-fact prediction module; and the defense layer performs adaptive adjustment according to the prediction result of the cloud layer. According to the system, light quantum sensing is used as an input source, high-precision monitoring, long-time-sequence early warning and dynamic repairing of gas leakage can be achieved, the hysteresis influence of passive response is avoided, and the intelligent level of gas safety management is improved.