482 results about "Information exchange" patented technology

The invention relates to the technical field of energy storage systems, and provides a self-adaptive power distribution method and system for multiple energy storage units of an island microgrid. According to the invention, a discrete consistency algorithm is adopted to realize coordination control of multiple units, each unit only exchanges information with adjacent units, and power distribution targets of all the units are converged to a consistent value through iterative computation, so that the communication bottleneck and the single-point fault risk of centralized control are avoided; according to the invention, a complete fault-tolerant processing mechanism is designed, the operation state of each energy storage unit is monitored in real time, topology updating and power redistribution are automatically carried out when a unit fault is detected, and the self-healing operation of the system is realized. Experiments show that compared with a traditional method, the method has remarkable advantages in key performance indexes such as capacity balance among energy storage units, system operation efficiency, communication overhead and fault recovery time, and the operation efficiency and reliability of the island microgrid system are remarkably improved.

The invention discloses a three-dimensional packaging modeling method based on NeRF and a diffusion model, and the method comprises the steps: firstly receiving demand description information, fusing packaging physical constraint conditions for joint coding, and forming a comprehensive condition vector; secondly, a cross-path dynamic information exchange mechanism is established through a geometric generation path and a texture optimization path, an initial three-dimensional packaging model is generated, physical consistency constraints are added, and NeRF is used for conducting volume rendering reconstruction on the initial three-dimensional packaging model; and then introducing an observation distance adaptive dynamic scale perception neural radiation field optimization mechanism, and generating a multi-scale NeRF model after scale perception optimization. And finally, establishing mapping of physical attributes and optical characteristics of the packaging materials, and generating a final three-dimensional packaging model through independent optical calculation and physical synthesis processes of the multi-layer materials. According to the method, the semantic understanding deviation of CLIP coding in vertical field application is solved, and the material reality representation of industrial-grade three-dimensional packaging modeling is realized.

The invention discloses a multi-mode emotion recognition method and system based on prompt enhancement, a medium and equipment, and belongs to the technical field of emotion analysis, and the multi-mode emotion recognition method based on prompt enhancement comprises the steps: obtaining input data of text, visual and audio modes; the modal-based prompt encoder performs prompt template-based feature enhancement on each modal input data to generate prompt enhanced feature representation; establishing an inter-modal information exchange channel by adopting a cross-modal adaptive alignment mechanism based on prompt enhanced feature representation, and generating alignment dominant features; based on the aligned dominant features, dynamically fusing the high-quality features by adopting a multi-level quality evaluation mechanism to generate enhanced dominant features; and performing multi-modal fusion on the enhanced dominant feature and the other two modal features, and outputting an emotion prediction result. According to the method, different data missing modes are effectively dealt with, the limitation of a rigid interaction mode of a traditional method is solved, the quality and reliability differences of different modes are considered, and robust multi-mode sentiment analysis is achieved.

The invention relates to a security data isolation and information exchange method and system based on a lightweight protocol, belongs to the technical field of industrial automation control system security, and solves the technical problems of low transmission efficiency, high analysis overhead, high security risk and high resource consumption of an existing method. Comprising the following steps: collecting and preprocessing original plaintext data at an industrial control network side; an external unit identifier, a timestamp and a pre-shared key on the industrial control network side are used as encryption factors, lightweight stream cipher encryption and packaging are carried out on the preprocessed data, and a lightweight protocol data packet is generated; through a special physical isolation device, the light-weight protocol data packet subjected to deep detection is unidirectionally isolated and ferried from an industrial control network side to an internal network side; performing post-processing on the received lightweight protocol data packet at the intranet side to restore original data; and delivering the restored original plaintext data to an intranet service application. And safe and efficient information data exchange is realized.

A system can facilitate broadband cellular communications with user equipment via a group of antennas of the system, wherein the group of antennas comprises multiple-input multiple-output antennas. The system can determine channel state information of user equipment for which broadband cellular communications are enabled via the group of antennas. The system can purpose an antenna element of the group of antennas for energy harvesting based on the channel state information failing to satisfy an information exchange criterion. The system can harvest, via the antenna element, non-contributory interference plus noise signals as electrical energy. The system can direct the electrical energy to a processing circuit involved in an information transmission task.

The technology disclosed herein provides a digital health privacy platform (Platform) and digital health passport (Passport) that together equip consumers to avoid unauthorized surveillance as they engage with their many authorized and variously located healthcare providers in information exchange and transactions for healthcare goods and services across episodes of care for diverse health problems while managing health-related self-maintenance, legal and financial matters.

The invention discloses a multi-target drug molecule generation model construction method and a multi-target drug design method, and relates to computer drug design and bioinformatics. Determining a corresponding two-dimensional molecular map based on the SMILES sequence; the fully-connected pharmacophore diagram and the two-dimensional molecular diagram are used as input of a GatedGCN module, each atomic node in the two-dimensional molecular diagram is connected with all pharmacophore nodes in the fully-connected pharmacophore diagram in message transmission, and information exchange between different nodes is achieved; the masked SMILES sequence serves as the input of an encoder, and the decoder generates an SMILES sequence conforming to pharmacophore characteristics in an autoregression mode; freezing the network parameters of the GatedGCN module and the encoder; and training the multi-target drug molecule generation model through the elite multi-target molecule set, and reversely optimizing and updating decoder network parameters according to an output result. According to the method, the model fully learns the multi-target molecular structure characteristics, and the multi-target drug molecule generation accuracy is improved.

The invention discloses an amphibious robot power system fault prediction method based on land and water working condition difference, and belongs to the technical field of robot control systems, and the method comprises the steps: sensing land and water physical field characteristics in real time, and emerging an environment coupling topology state; monitoring an energy and information exchange flow, and obtaining a flow mode divergence as a fault precursor; receiving land and water environment switching identification, inducing relaxation and tending to a new convergence steady state; taking the new steady state as an initial condition, taking the flow mode divergence and the energy dissipation rate as evolution driving potential, and generating a minimum action quantity track; and driving parameter or weight adjustment along a minimum action quantity track to realize structural adaptation and toughness internalization. According to the method, a control strategy integrating dynamic topology modeling, prospective risk assessment and structural learning adaptation is adopted, the active fault prediction capacity and the self-adaptive stability in the land and water environment switching process can be improved, and the overall reliability and toughness of the robot are enhanced.

The present disclosure provides a cooperative distributed model predictive control (Co-DMPC)-based chassis multi-agent system (MAS) cooperative control method for autonomous vehicles, a controller, and a storage medium. A distributed state-space equation with state coupling and control input coupling characteristics is established. Meanings and transformation methods of predicted trajectories, assumed trajectories, and optimal trajectories of the states and control inputs are designed, providing a communication basis for information exchange between the agents. In order to coordinate the global performance indexes of a vehicle, a local agent optimization problem considering cost coupling is established, and the influence of the cooperative relationship on the control effect is quantitatively analyzed through adaptive weight coefficients. A method of performing a plurality of iterations within a unit sampling time is adopted, and iteration errors are utilized to enable the controller to achieve a balance between solution accuracy and efficiency.

The invention discloses a crossbar switch control method based on cache information exchange, which relates to the technical field of integrated circuits and high-speed interconnection, and comprises an outlet flow control waterline register, an outlet congestion waterline register and a dequeue strategy optimization control register of an inlet receiving module in initialization configuration center control; the cache occupation amount of each outlet is monitored in real time, when the outlet cache is in an early warning state, an inlet dequeue strategy is controlled, and outlet data messages in a non-early warning state are scheduled preferentially; the cache occupation and release information is interacted in real time, and the early warning state is updated through the change of an occupation amount register; and dynamically optimizing an entrance dequeue sequence based on an exit cache early warning state, and performing decentralized flow cooperative control. The problem of performance loss of a traditional Crossbar switching chip caused by outlet bottleneck is effectively solved, and a high-performance and high-reliability switching chip technical scheme is provided for the fields of data center lossless interconnection, 5G core network packet switching and the like.

The invention relates to the technical field of multi-objective optimization, and discloses a multi-aircraft task allocation method and system based on collaborative multi-population optimization, and the method comprises the steps: obtaining the target coordinates of each flight task and the flight parameters of each aircraft; m populations are generated; any individual in any group corresponds to one task allocation strategy; setting iteration parameters for each population, and controlling iteration of each population; identifying an evolution rhythm state of each population; performing cross-population information exchange and population iterative optimization based on the evolution rhythm state; when a preset iteration termination condition is reached, obtaining a candidate solution of each population; and screening the comprehensive recommendation individuals based on the candidate solution of each population, and obtaining a corresponding task allocation strategy. According to the method, the multi-population collaborative optimization capability is improved, and a high-quality multi-aircraft task allocation strategy can be effectively generated.

Provided herein are database structures, systems, and methods for an anonymous, information exchange platform. The information exchange platform described herein may comprise blockchain structures, decentralized networks, peer-to-peer technology, cryptographic techniques, and / or a combination thereof. Past and present actors associated with a topic of information (e.g., a product) may flexibly exchange information on the information exchange platform by implementing question and answer protocols.

The invention discloses a PCIe switch capable of modifying hardware configuration. The PCIe switch comprises at least one port, a message manager, a security manager and a configuration management module. Wherein each port is connected with a root complex, an application program runs on the root complex, the message managers are mapped in base address registers of the ports in a one-to-one correspondence mode and used for information exchange between the root complex and the security manager, and the security manager is in communication connection with the message managers and used for analyzing, verifying and replying messages of the root complex. And the configuration management module is in communication connection with the security manager, and configures the PCIe switch based on the configuration information. According to the PCIe switch, batch data transmission and information interaction between the root complex and the PCIe switch can be realized, and only the application subjected to authorization verification has the authority to modify the configuration, so that the PCIe switch can modify the configuration according to the application requirement on the root complex, and the PCIe switch is high in flexibility, safe, reliable and easy to expand.

This application relates to the field of mobile communication, and in particular, to an information exchange method, which includes: determining a first receiving beam, transmitting T1 reference signals by using T1 transmitting beams corresponding to the first receiving beam, receiving a first CSI report, where the first CSI report includes T1 beam measurement results, and transmitting first information, where the first information is used to determine a to-be-swept second receiving beam set, the second receiving beam set is a subset of receiving beams, the first information is determined based on a first prediction result, and the first prediction result is a processing result of inputting the T1 beam measurement results into an AI model to perform a transmitting and receiving beam pair prediction. A quantity of sweeping times can be reduced, an amount of feedback or a quantity of beam measurement times can be reduced, and overheads can be reduced.

The invention provides a multi-agent simulation system based on a large language model, and the system comprises a man-machine interaction setting module which is used for providing an interaction interface between a user and the system, enabling the user to carry out the scene setting and parameter setting used in a simulation operation process through the man-machine interaction setting module, and providing the data information needed by the operation of the system, in combination with real scene information, high-simulation simulation scenes and parameters are set for specific simulation; the multi-agent collaboration module is used for specifically performing multi-agent simulation operation based on a large language model, processing main body and environment information and realizing a development process of a real event along with time lapse; the data bus communication module is used for communicating the intelligent agent with the database and connecting the intelligent agent with the database in a bus mode so as to improve the information exchange efficiency; and the log causal analysis module is used for analyzing the simulation process and result. The simulation system provided by the invention can fully reflect the running condition of the real world.

A method can include receiving, by a first base station from a second base station, one or more first messages requesting the first base station to allocate resources for dual connectivity for a first wireless device. The method can also include sending, by the first base station to the second base station and based on determining that one or more conditions for reporting one or more measurements are satisfied for the first wireless device, one or more second messages that include one or more parameters indicating the one or more measurements for the first wireless device. The one or more conditions for reporting the one or more measurements can include, for example, a condition indicating to stop collecting the one or more measurements for the wireless device after a predetermined number of changes of primary secondary cells (PSCell) for the wireless device.

The system brings together patient data both clinical records and imaging studies from disparate sources to the user workstation or mobile device in real-time and on-demand. In order to do so, the system needs to establish application layer connectivity utilizing HL7 or FHIR and DICOM for imaging. Once a secure connection is established, the system is able to search and retrieve records and present it to end user.

A system includes a processor that collects and analyzes meteorological data and sensor data in real time, predicts future disaster risks based on past disaster data, detects abnormal patterns and identifies precursors of disasters, automatically issues warnings based on identified precursors, calculates optimal evacuation routes and provides them to users in real time, and supports information exchange between affected areas and relief teams.

The invention discloses a distributed energy consumption optimization scheduling method and system for a heat pump group, and relates to the technical field of heat pump energy consumption optimization scheduling, and the method comprises the steps: dividing the heat pump group into a plurality of sub-regions, determining the optimal combination of heat pumps in each sub-region, and forming local optimization units of the sub-regions; collecting state data of each heat pump in each local optimization unit in real time, and generating a scheduling strategy of the heat pumps in the sub-regions by using a multi-target local optimization algorithm; establishing a cross-subarea information exchange and coordination mechanism, carrying out global optimization and dynamic correction on a scheduling strategy, and generating a final heat pump group scheduling scheme; and issuing the final heat pump group scheduling scheme to each local optimization unit, and adjusting the local optimization units based on real-time feedback to form a closed-loop iterative optimization mechanism. According to the method, distributed partition optimization is combined with cross-regional coordination and global dynamic correction, so that the problems of high calculation complexity, poor real-time performance and insufficient inter-regional energy utilization of centralized scheduling are solved.

A content extraction method and apparatus including presenting a document selection interface based on an uploading operation in an information exchange interface, the document selection interface comprising at least one document, based on a selection operation on a first document of the at least one document, presenting, in the information exchange interface, the first document and processing information of the first document in a status area corresponding to the first document, the processing information indicating a current processing stage in a process of performing content extraction on the first document and a corresponding processing status, and after the content extraction on the first document is completed, removing display of the status area, and presenting, in the information exchange interface, a document digest obtained by performing content extraction on the first document.

The invention belongs to the technical field of production testing in the manufacturing industry, and particularly discloses a production testing system and method based on the manufacturing industry, a terminal and a medium, and the system comprises a back-end service layer which is in communication connection with a front-end service layer for information interaction, dividing the business logic of the production test into a plurality of business modules which can be independently managed through a module registration mechanism; the equipment interaction layer comprises an equipment driving interface, at least one equipment driving plug-in and an equipment communication unit; and the system integration layer is used for carrying out information exchange with a manufacturing execution type service system through a standardized data interaction mode so as to obtain and send the production test data. Test data is aligned with a manufacturing execution type business system through a standardized data interaction mode, connection between a production test link and manufacturing process management is realized, and the overall cooperative capability of a production line is improved.

The invention discloses a distributed photovoltaic-containing power distribution network planning layer multi-objective optimization method, which comprises the following steps of: constructing a multi-objective optimization model taking investment cost, network loss and voltage deviation as sub-objectives, and integrating the sub-objectives into a unified optimization function through a weight coefficient method; multi-dimensional constraint conditions such as node voltage safety, power balance, capacity upper limit, branch current and whole network permeability are established in combination with load flow calculation, photovoltaic optimal point distribution and capacity configuration are solved by adopting an improved flower pollination algorithm, and the convergence speed and optimization precision are improved. The improved dynamic projection primal-dual distributed algorithm is adopted, and local information exchange and a self-adaptive step length mechanism are utilized, so that the real-time network loss minimization and voltage stability control of the high photovoltaic penetration power distribution network are realized, and the safety and economy of the system are ensured.

The invention discloses a power distribution network-micro-grid collaborative dual-time scale scheduling method in combination with topological optimization. According to the method, a long-time-scale scheduling period is set at the hierarchy of the power distribution network, a scheduling model combining topology reconstruction and active optimization is adopted, and unified regulation and control of global operation characteristics such as grid power flow, line heavy load and node voltage are achieved; an ultra-short time scale real-time scheduling period is set in a micro-grid level, and new energy fluctuation is rapidly tracked and compensated based on rapid adjustable resources; and through a multi-level information interaction mechanism, power distribution network scheduling constraint downloading and micro-grid feedback uploading are realized, and friendly interaction and cooperative operation between the power distribution network and the micro-grid are realized. According to the method, the flexibility and the new energy consumption capability of the power distribution system are remarkably improved through a topology flexible regulation and control means, meanwhile, the rapid response capability of the system to the time-varying uncertainty is enhanced through a double-level scheduling mode, the operation loss and the safety risk of the power distribution network are reduced, and the method has good engineering application value.

The invention relates to the technical field of power system operation and control, and discloses an active power distribution network distributed reactive power optimization control method, which comprises the following steps: independently establishing a second-order cone branch power flow model by each regional controller, and constructing an augmented Lagrange objective function based on an alternating direction multiplier method; and executing a distributed iterative solution process. The process comprises the following steps that: a region controller executes local optimization solution to obtain a local boundary coupling variable; executing an information exchange operation, and exchanging the boundary coupling variable with an adjacent region; dual variable updating operation is executed, and the Lagrange multiplier is updated according to the residual error of the consistency constraint; and executing convergence discrimination, and outputting a reactive power optimization control strategy if the condition is satisfied. A non-convex problem is converted into a convex optimization problem by adopting second-order cone relaxation, the solution optimality is ensured, and a distributed node decoupling architecture is combined, so that the communication burden is reduced, and the expandability and robustness of the system are improved.

The invention discloses a multi-modal image processing method based on frequency perception and interactive fusion. The problem of image fusion under a low-light condition can be solved in a decoupling type double-branch parallel processing mode. The method comprises the following steps: importing a data set and performing characteristic decomposition, receiving visible light and infrared images, and decoupling each modal image into low-rank and sparse characteristics; carrying out interactive content fusion, carrying out cross-modal interaction on high and low frequency features through bilateral information exchange, carrying out enhancement, and reconstructing an intermediate fusion image; performing parallel global illumination estimation, inputting the visible light image into an illumination estimation network based on frequency domain processing, and generating an ideal illumination image; and performing physical illumination reconstruction and output, and performing brightness improvement on the intermediate fusion image to obtain a fusion image. According to the method, specialized processing of frequency perception and a cross-modal deep interaction mechanism are combined, and the quality and robustness of multi-modal image fusion under complex conditions are remarkably improved by decoupling content fusion and an illumination estimation task.

An artificial intelligence system for military planning and decision support is disclosed. The system comprises a central coordination agent, multiple specialized agents focused on specific military domains, and a dynamic learning module. The system analyzes inputs, activates relevant specialized agents, coordinates information exchange, and synthesizes outputs into cohesive solutions. It incorporates security and ethics verification, multi-modal interfaces, and can operate in both local and remote configurations. Advanced capabilities include multi-lingual operation, predictive maintenance, and generation of multiple courses of action with sophisticated modeling and simulation. The system is not limited to this architecture, and may instead comprise of a single AI system consolidating these functions. The system continuously learns and adapts to new scenarios while maintaining alignment with military doctrine and objectives.

The invention relates to the technical field of traffic monitoring. The traffic flow dynamic monitoring method and device, the equipment and the medium are provided, and the method comprises the steps that independent game nodes are arranged at key traffic intersections of a target road network in a distributed node deployment mode, and a remote game control framework is constructed; collecting real-time traffic flow data and associated environment parameters, and generating an initial signal control strategy; performing cross-regional information exchange on the initial signal control strategy to generate a traffic resource allocation game model; performing iterative optimization on the traffic resource allocation game model by adopting a distributed Nash equilibrium algorithm to generate a global coordination signal timing scheme; performing scenarized strategy customization on the global coordination signal timing scheme according to the road function partition features to obtain a scenarized signal control instruction; and issuing the scenarized signal control instruction to an execution terminal of a corresponding intersection so as to improve the multi-intersection collaborative decision-making capability, enhance the scenarized strategy adaptability and optimize the dynamic optimization real-time performance.

The invention relates to an unmanned aerial vehicle path planning method and device, electronic equipment and a readable storage medium. The method comprises the steps that environment information of a task area and constraint parameters of an unmanned aerial vehicle are acquired; initializing a population of the improved beaver optimization algorithm; determining a fitness value for each individual in the population based on a preset cost function; based on the fitness value, dynamically allocating a role to each individual in the population, updating the position of the individual by adopting a corresponding updating strategy according to the allocated role, and executing information exchange between roles in the updating process; and based on a preset termination condition, determining an individual with the lowest fitness value from the population after iteration updating, and outputting a path point sequence represented by the individual as a planned unmanned aerial vehicle flight path. Through the method provided by the invention, the local optimal escape ability and the quality of the solution are enhanced, the flight safety and the terrain adaptability are improved, and the overall performance and the reliability of unmanned aerial vehicle path planning are improved.

Disclosed are various embodiments for using decentralized identity services and generative large language models (LLMs) to facilitate a humanized interactive chatbot session between two entities where information exchanged can be verified for accuracy. An interactive session can be established between a chat wallet service associated with a first user (e.g., a credential holder) and a second user (e.g., inquirer) using decentralized identity services. Inquiries asked by the second user can be directed to the chat wallet service which can obtain a response from a personalized dialog agent. The personalized dialog agent can obtain the answer by executing a language model that has been trained and personalized using information about the first user. The answer to the inquiry can be verified by comparing the answer with a verified credential associated with the first user. The verified response to the inquiry can then be provided to the second user.

The invention discloses a data processing method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of transmitting a calling request for a target service to a server in response to a selection operation for the target service in the server; in response to request receiving success information returned by the server, triggering a polling mechanism to pull data processing progress instruction information of the target data from the server; based on the data processing progress instruction information, polling and querying a data processing progress instruction information base of the server side to obtain a data processing progress of the server side on the target data; and under the condition that the data processing progress is completed, calling a data acquisition interface of the server to pull the target data from the server and store the target data. According to the embodiment, the polling mechanism is added to the client, and the triggering mechanism is set, so that the problem that the client and the server cannot exchange information in an existing one-way network scene is solved.