88 results about "Cooperative interaction" patented technology

The invention discloses a distribution network source-load collaborative micro-grid autonomous system and method, relates to the technical field of micro-grids, and realizes interconnection and intercommunication between an intelligent fusion terminal and equipment such as a charging pile, a photovoltaic device, an energy storage device, a low-voltage intelligent switch and the like by utilizing wireless communication technologies such as HPLC (High Performance Liquid Chromatography), 5G (5th Generation) and the like compared with the previous micro-grid autonomous system. By applying intelligent algorithms such as linear regression and machine learning, the platform automatically generates various optimization adjustment strategies, and after the strategies are audited by management personnel, a control command is issued to the terminal equipment through the intelligent fusion terminal; and remote intelligent operations such as energy storage charging and discharging mode adjustment, charging pile output power limit, photovoltaic output flexible regulation and control and automatic switching on and switching off of a low-voltage intelligent switch are realized. And performing whole-process monitoring on strategy execution, determining whether the strategy execution reaches a preset target, outputting a result analysis report, continuously optimizing an intelligent algorithm in combination with field equipment operation parameters, and continuously improving a source-network-load-storage collaborative interaction level.

According to the BIM-based construction process monitoring and early warning system provided by the invention, the data acquisition dimension and precision are remarkably improved through multi-source sensing fusion of millimeter-wave radar, multispectral imaging and voiceprint recognition; feature vector voxel units carrying material characteristics and process constraints are adopted, so that risk early warning has space-time relevance and process interpretability; through a composite risk calculation model containing environmental interference correction and time-varying gradient, the problem that a traditional threshold value method is poor in adaptability to complex working conditions is solved; the holographic early warning mechanism realizes upgrading from sound-light alarm to touch sense-three-dimensional projection cooperative interaction; the double-circulation self-optimization system not only guarantees real-time control, but also realizes block chain evidence storage of empirical data, and finally forms a construction monitoring closed-loop system with space-time perception, intelligent decision, accurate early warning and sustainable evolution capabilities.

The invention discloses a DeepSORT pedestrian tracking method based on multi-feature space-time cooperative interaction, and belongs to the field of computer vision and intelligent video analysis. The method comprises the following steps: acquiring and processing pedestrian data, constructing a target detection and feature extraction model, detecting a test set after training to generate a candidate box, extracting appearance features to construct a cost matrix, matching and updating a trajectory by using a Hungary algorithm, and finally outputting a visual tracking result. In the detection stage, a small target feature enhancement pyramid is designed to improve the small target detection precision, PSConv, Triplet Attention and DyHead are fused to construct a multi-dimensional feature interaction mechanism, and the scale adaptability and the anti-shielding capability are enhanced; in the tracking stage, an IAU module is embedded into an Re-ID branch of DeepSORT, feature discrimination is enhanced through space-time and channel feature dynamic modeling, and ID Switch is reduced. The method effectively improves the perception recognition capability of a multi-scale and strong-shielding target, guarantees the detection accuracy and tracking robustness in a complex environment, and has a good application deployment value.

The embodiment of the invention provides a software development method based on artificial intelligence and related equipment. In the embodiment of the invention, an AI software development method and mode are provided, and a user and a technical design document generation agent cooperate to complete a technical design document of a programming task; and the programming agent autonomously performs task planning based on the technical design document, and autonomously executes the programming task based on the planned execution plan. In at least one of the technical design stage or the task execution stage of the programming task, a man-machine cooperation interface is provided, and the man-machine cooperation interface is used for a user to participate in the software development process for the programming task. Therefore, the software development efficiency and the code quality are greatly improved through division cooperation and man-machine cooperation interaction among the intelligent agents.

The invention discloses a collaborative interaction intelligent regulation and control method for source network load storage resources, and relates to the technical field of resource regulation and control, and the method comprises the following steps: Sa1, obtaining the real-time fluctuation of a power grid load and the power grid flow distribution in a power grid system, and carrying out the prediction of the power flow distribution based on the real-time fluctuation of the power grid load and new energy power generation power prediction data; generating a supply-demand imbalance characteristic quantity of the power supply and the load; sa2, according to the supply and demand imbalance characteristic quantity, constructing a multi-objective optimization model containing participation of an energy storage system and an adjustable load; sa3, outputting a regulation and control instruction set by solving the multi-objective optimization model; and Sa4, carrying out coordination control on the source network load storage resources according to the regulation and control instruction set so as to realize dynamic balance. The method can solve the problem of how to regulate and control the new energy generation power according to the real-time fluctuation of the power grid load so as to solve the problem of mismatching between the power supply output and the load demand, thereby ensuring the stable power supply.

The invention relates to the technical field of intelligent terminals, in particular to an intelligent screen multi-terminal collaborative interaction system and method based on edge computing. The intelligent screen multi-terminal collaborative interaction system based on edge calculation comprises a terminal display unit, an edge calculation unit and an intelligent screen display unit, according to the method, feature information is extracted by integrating multiple factors, terminal display requirements and importance are accurately reflected, important information is judged according to priority permission levels, judgment is performed according to the feature information when the levels are the same or no level exists, the result is more reasonable, random or average distribution display is avoided, meanwhile, the memory occupancy rate of the smart screen is monitored in real time, and the user experience is improved. In addition, the historical information features are continuously updated, and the intelligence and adaptability of the whole system are improved.

The invention relates to a source-load-storage multi-twinborn collaborative interaction method. The method comprises the following steps: acquiring operation parameters of source, load and storage equipment to construct a source-load-storage multi-twin body; performing multi-scale time sequence analysis on the twinborn body, and extracting supply and demand fluctuation characteristics including fluctuation frequency, fluctuation amplitude and fluctuation energy ratio; based on the supply and demand fluctuation characteristics, optimizing output distribution of the source-side power generation equipment and the energy storage device by adopting a learning model, and generating a source-load-storage cooperative scheduling scheme; based on the scheduling scheme, an improved particle swarm optimization algorithm is used for solving an energy flow parameter between the load-side electric load and the energy storage device, and a source-load-storage collaborative optimization instruction is generated; fusing the real-time operation parameters and the collaborative optimization instruction, and performing equipment health state prediction through a neural network to generate a health diagnosis result; and monitoring the execution result of the collaborative optimization instruction, and generating a collaborative interaction report in combination with the health diagnosis result, the operation parameters and the supply and demand fluctuation characteristics, thereby realizing collaborative control and state monitoring of the source-load-storage system.

The invention belongs to the technical field of optical storage and charging collaborative interaction, and particularly relates to a microgrid regulation capability evaluation system and method based on optical storage and charging collaborative interaction, and the system comprises a multi-source data fusion module, a dynamic evaluation module, a collaborative optimization module, a digital twin verification module and an output regulation and control module. The signal output end of the multi-source data fusion module is connected with the dynamic evaluation module, the signal output end of the dynamic evaluation module is connected with the collaborative optimization module, and the signal output end of the collaborative optimization module is connected with the digital twin verification module. And the signal output end of the digital twin verification module is connected with the output regulation and control module. And the mixed spatio-temporal data fusion technology reduces the synchronization error of the multi-source data. And a dynamic evaluation-optimization combined solving method is adopted, so that the calculation complexity is reduced. According to the event-driven rolling optimization mechanism, the photovoltaic output volatility and the load abrupt change rate are defined as trigger threshold values, only the affected subsystem is re-evaluated, and the calculation amount is reduced.

The invention provides a multi-agent collaborative interaction decision and control method in an interaction scene. The method comprises the following steps: firstly, acquiring time sequence state information of a confrontation scene by each agent; in a decision-making system of each agent, inputting obtained confrontation scene time sequence state information into an LSTM network for prediction and feature extraction to obtain a hidden state, inputting the hidden state into an SAC reinforcement learning model, and training the LSTM network and the SAC reinforcement learning model through a designed reward function to obtain a confrontation scene time sequence state; finally, the maneuvering decision action vector of each agent is obtained; and each agent takes a maneuvering decision action vector as a control target value, and the agents are controlled according to a discrete incremental PID controller. According to the method, on the basis of a multi-agent SAC reinforcement learning algorithm, LSTM time sequence processing and a double-experience playback mechanism are combined, and a reasonable reward function mechanism is designed, so that in an environment with a complex dynamic object, the motion trail of the dynamic object can be quickly predicted, and the continuous action amount of the dynamic object can be accurately decided.

The invention relates to the technical field of power grid energy storage regulation and control, in particular to a power grid energy storage regulation and control method and system considering source-storage-load collaborative interaction. The power transmission node information of the power grid system and the power utilization information of each terminal user are acquired, the power grid system is divided into a plurality of virtual energy storage clusters according to the power transmission node information, and load fluctuation characteristic analysis is performed on the power utilization data of all the terminal users of each virtual energy storage cluster; determining a first importance degree of each load area to the electric energy demand; obtaining a second importance degree of each load area in an abnormal state according to the load power change before and after the power generation fault; and according to the first importance degree and the second importance degree of each load area, correspondingly configuring the electric energy guarantee priority of each load area and supplying power until the power generation fault is repaired. According to the technical scheme, after the power grid system has a power generation fault, cooperative adjustment of the energy storage station, the power supply station and the load end is realized, and the accuracy of electric energy distribution is effectively improved.

The invention provides an agent collaborative interaction method and system and electronic equipment. The agent collaborative interaction method comprises the following steps: registering agent capability information to a network registration function network element; sending a first service retrieval request to the network registration function network element according to the current task, and receiving a first retrieval result returned by the network registration function network element; when the first retrieval result comprises at least one service party agent, determining state information of the service party agent according to the first retrieval result, and selecting the service party agent to send a service negotiation request; when it is determined that a service negotiation response returned by the service party agent based on the service negotiation request is received, sending a co-processing data packet corresponding to the current task to the service party agent through an interaction mode corresponding to the service negotiation response; and receiving a co-processing result corresponding to the co-processing data packet returned by the service agent, and processing the current task according to the co-processing result. According to the embodiment of the invention, the agent interaction efficiency can be improved.

The present invention discloses a multi-function folding bike pertaining to the field of bicycles. The bike comprises a main frame, an actuation button, a gear assembly, and an expansion unit. The expansion unit includes a training wheel, a pedal assembly, and a kickstand, wherein cooperative interaction of these components enables multiple configuration transformations to satisfy diverse functional riding requirements. Through selective combinations of elements within the expansion unit, the bike achieves morphological adaptations for: children's progressive riding skill development, cargo transportation capability, and personalized riding experiences, thereby accommodating evolving needs across different growth stages while significantly enhancing applicability and utility of the bicycle.

The invention belongs to the technical field of man-machine cooperative interaction, and relates to a man-machine cooperative compliant interaction method based on fuzzy variable admittance and human body motion prediction, which comprises the following steps: step 1, establishing a man-machine cooperative interaction admittance model, and converting the interaction force applied to an end effector of a mechanical arm by a collaborator into the end speed of the mechanical arm; 2, designing an admittance model parameter adaptive law based on a fuzzy theory, dynamically adjusting a virtual damping parameter, and designing a virtual mass adaptive law based on a virtual damping change condition, so that an admittance model dynamically adapts to a movement mode of a collaborator; and step 3, predicting a human body motion intention based on the LSTM network, generating an auxiliary speed item, and jointly generating an optimal man-machine compliant interaction speed in combination with an admittance reference speed obtained based on admittance model transformation. According to the method, the robot body motion information and the human body motion intention in a man-machine system are fully utilized, the self-adaptive admittance interaction device fused with the motion intention of the human operator is designed, and the naturalness and smoothness of man-machine interaction are improved.

The invention relates to the technical field of vehicle cooperative interaction control, in particular to an intelligent network connection vehicle social cooperative interaction control method and system in a mixed traffic scene, and the method comprises the steps: obtaining a spatial feature vector and a time sequence feature vector; obtaining a comprehensive feature vector through the spatial feature vector and the time sequence feature vector; performing linear combination according to the comprehensive feature vectors to obtain a reward function; obtaining an optimal weight vector through inverse reinforcement learning according to the reward function; the SVO angle value of the HDV is estimated through the optimal weight vector, and the SVO angle estimated value of the CAV is obtained; sVO parameters are optimized and dynamically adjusted through the Stackelberg game according to the SVO angle estimation value of the CAV, and optimal response parameters of the HDV are obtained; and according to the IDM model and the optimal response parameter of the HDV, simulating social perception and response of a human driver so as to adjust the driving behavior. According to the invention, the accuracy of vehicle cooperative interaction control is improved.

The embodiment of the invention provides a multi-channel differential pressure real-time measurement method and system, through cooperative interaction of a PS end and a PL end, the PS end receives and identifies an instruction of an upper computer, the PL end is responsible for instruction execution, corresponding closed-loop communication logic is formed, and the accuracy and reliability of data are improved. Besides, read-write parallelization is realized, two ports of the memory are controlled to perform independent data read-write through switching of identification values, read-write operations of the first port and the second port are completely separated, throughput is greatly improved, the two ports adopt a write priority mode and an independent address space design, read-write conflict risks are eliminated, and the memory performance is improved. And the number of concurrent detection channels and the detection frequency are improved.

The invention provides a cross-system form intention generation and cooperative interaction method based on an intelligent agent, and relates to the technical field of man-machine interaction, and the method comprises the steps: generating and verifying standard intention representation through semantic analysis, determining a target form and a system entity, and extracting pre-filling data; obtaining interface meta-information to construct structured field knowledge, and generating form configuration; rendering a form interface and injecting pre-filling data; and constructing a trust chain to verify the identity and determine an authorization range, converting the form data and calling a target interface. The cross-system service form processing efficiency can be effectively improved, and the data security and the user experience are enhanced.

The application provides a ConvNeXt model SAR ship classification method based on multi-level feature cooperative interaction. In order to effectively utilize traditional manual features, the method uses a Canny-based edge detection method, captures edge information of objects in an image through multi-level filtering and edge gradient analysis, and inputs the result into a ConvNeXt model for feature extraction. In addition, a multi-level branch structure is expanded in the ConvNeXt model, which is used for deep extraction of feature information at different scales, so as to capture various information of the image at low-level features and high-level features. Finally, cross fusion with traditional manual features is carried out in the multi-scale feature extraction process, so as to improve the classification accuracy of the model.

The invention mainly discloses a quality detection cooperative interaction suite group, which is used for performing defect detection on a continuous material conveyed by a roll-to-roll mechanism. Particularly, the quality detection cooperative interaction suite set further provides the following functions: (1) intuitively displaying the position of the detected flaw on the continuous material; (2) when the flaw detection result is misjudged, a user (a quality inspector) operates a tablet computer provided by the quality detection collaborative interaction suite group to delete the misjudged flaw detection result online; (3) when a flaw category identification error occurs in a flaw detection result, the user operates the tablet computer to correct the flaw category identified by the error online; and (4) when missing detection occurs, the user operates the tablet computer to add one or more images containing flaws into the database.

The invention discloses a dynamic test platform and a dynamic test method for a composite energy storage system based on cooperative interaction. The dynamic test platform comprises a flywheel energy storage unit, a compressed air energy storage unit, an energy management and cooperative control unit, a data acquisition and analysis unit and a grid-connected / off-grid mode main switch, the energy management and cooperative control unit is used for dynamically adjusting the running states and function roles of the flywheel energy storage unit and the compressed air energy storage unit; the data acquisition and analysis unit is used for acquiring full-dimension operation state parameters of the flywheel energy storage unit and the compressed air energy storage unit in real time so as to identify abnormal working conditions and feed back analysis results to the energy management and cooperative control unit, and a control strategy is optimized; and the grid-connected / off-grid mode master switch receives a switch control signal of the energy management and cooperative control unit so as to switch the operation mode of the composite energy storage system and perform electric energy exchange. High-precision and multi-mode dynamic testing between the two large energy storage systems is achieved, system performance can be evaluated, and a collaborative operation strategy can be optimized.

1. The name of the design product: EEG team competition head-mounted device (streamlined competition version). 2. The use of the design product: worn on the human head to realize EEG cooperative interaction function, suitable for team competition scene, and the device takes into account the wearing comfort, storage convenience and visual adaptability of the competition scene. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The application provides an augmented reality-based cooperative interaction method and device and related equipment, and relates to the technical field of augmented reality. The technical scheme provided by the application obtains a cooperative task in an augmented reality environment and identifies key task nodes therein. When a user reaches a key task node, the operation behavior information and voice information of the user are obtained in a timely manner, the operation intention information of the user is obtained through multi-modal information recognition, the operation intention information is converted into intuitive visual information, and the visual information is displayed in the augmented reality environment of other users. Through the accurate collection, understanding and visual communication of the operation intention at the key task node, the cooperative intention is accurately communicated at the key node of the cooperative task, so that the completion efficiency of the cooperative task can be improved.

This invention discloses a coded cooperative transmission method and apparatus in a non-terrestrial network. The method transmits user-sent signals to cooperative nodes via an uplink channel; cooperative nodes receive the user-sent signals and obtain recovery information through extraction and recovery processing; cooperative nodes receive, process, and forward signals from each other via a cooperative interaction channel; and the cooperative nodes transmit the recovery information and the signals from the cooperating nodes to the ground destination receiver via a downlink channel. This invention utilizes the characteristics of polarization coding to establish a satellite node coded cooperative model in a non-terrestrial network, jointly optimizing key parameters such as coding rate and power allocation to improve the reliability and efficiency of information transmission in non-terrestrial networks.

The application discloses a system and method for dynamically switching multiple interactive subjects in a cooperative live broadcast, which comprises a subject feature modeling module, a cooperative semantic perception module, a multi-subject switching module, a context migration module, a multi-source context perception module, and a candidate reply generation engine. The system learns representations based on historical text interaction samples of multiple interactive subjects to obtain expression feature models of each interactive subject. The user's text interaction information and cooperative operation information are semantically encoded to obtain cooperative interaction features. The target interactive subject identity is output by a pre-set identity matching neural network. When the interactive subject identity is switched, the inherited context features are generated, and the fused context features are obtained through attention fusion, and then the candidate replies conforming to the target interactive subject identity are generated. The system can reduce the problems of identity confusion and context break in cooperative live broadcast interaction.

The purpose of the present invention is to construct a system capable of improving the well-being of a rider and to reduce loads on hardware resources constituting the system by effectively and efficiently enhancing cooperative interaction between a straddle-type vehicle and the rider. In the system, by using at least one type of straddle-type vehicle-related data acquired over time from at least one input device in a data acquisition process, straddle-type vehicle-related prompt data which can be interpreted linguistically by a large language model (LLM) and has a reduced amount of data is generated. The straddle-type vehicle-related prompt data is supplied to the LLM, and running straddle-type vehicle linguistic interpretation data is acquired from the LLM. By using the acquired running straddle-type vehicle linguistic interpretation data, CHL information indicating a linguistic interpretation result regarding a running state of the straddle-type vehicle is outputted from at least one output device.

The invention relates to the technical field of strategy optimization, in particular to a multi-agent-based collaborative interaction strategy optimization method, which comprises the following steps of: acquiring all high-quality parent instructions in any iteration round in a process of generating instructions through iterative optimization by APE; obtaining a collaborative contribution potential index of each high-quality parent instruction, sequentially selecting a core contribution parent instruction from all the high-quality parent instructions, extracting dominant dominant feature fragments of the core contribution parent instruction selected each time, and performing text recombination on each dominant dominant feature fragment by utilizing a proposal model to obtain a dominant dominant feature fragment; obtaining a sub-generation instruction set; selecting a high-quality parent instruction of the next iteration round of any iteration round from the filial instruction set, repeating the acquisition method of the filial instruction set until the requirement of the iteration round is met, obtaining a group of candidate instruction sets, selecting a candidate instruction with the highest quality evaluation result from the candidate instruction sets, and obtaining the high-quality parent instruction of the next iteration round of any iteration round. And the overall performance of the automatic instruction optimization process is improved.

The invention belongs to an aircraft management system technology, and particularly relates to a high-safety aircraft management system based on a switched time-triggered Ethernet. Sensors, computers and execution mechanism equipment of all subsystems are efficiently interconnected through a network, so that the problems of excessive equipment redundancy, complex cable connection and low cooperative interaction efficiency existing in the design of a traditional aircraft management system are solved. According to the system, data sharing is enhanced, repeated deployment of equipment is reduced, openness is improved, non-safety key information dynamic expansion is supported, meanwhile, the safety level needed by an aircraft management system is not sacrificed, integration of the functions of main flight control, auxiliary flight control, thrust, undercarriage and front wheel steering under a unified network can be achieved, and the system is suitable for large-scale popularization and application. And a basis is provided for further comprehensive design of a future aircraft management system.

The application provides a ship emergency exercise virtual simulation interaction method, device, equipment and medium, solves the technical problems of insufficient environment authenticity, low cooperation efficiency, insufficient immersion, single evaluation and poor system expansibility in traditional exercises through three-dimensional virtual environment construction, multi-person cooperative interaction, dynamic scene generation and intelligent team evaluation technology. The method is suitable for crew team training, maritime rescue cooperative exercise and ship safety verification, and can significantly improve the team emergency response capability and training efficiency.

The invention discloses an out-of-vehicle multi-mode blind area cooperative interaction method and an out-of-vehicle multi-mode blind area cooperative interaction system. Starting blind area sensing when a preset starting condition is met; the camera and the millimeter-wave radar collect target position, speed, attitude and track information; the edge calculation unit performs multi-source fusion and behavior recognition, and outputs a target behavior intention and / or a risk result; the strategy decision-making module is used for matching an interaction strategy, controlling laser projection equipment to project a warning or guiding graph in a target area, and controlling a directional sound wave array to output a directional voice prompt; and continuously monitoring the target state and updating the strategy, and stopping output and waiting when a termination condition is met. The system comprises a sensing layer module, a multi-mode interaction terminal, a strategy decision module and a template adaptation module, and template parameters are used for generating projection and voice output parameters and can be linked with a vehicle light and / or steering system through a vehicle-mounted bus.

The invention provides a multi-IP pet toy collaborative interaction scene generation method, which comprises the following steps: acquiring movement identification information and preset leader values of all IP pet toys in a scene, and judging the change of a current group structure in combination with the real-time online state and position coordinate data of each IP pet toy; if the group structure changes, performing classification analysis on the new pet combination, calculating weight distribution in the group according to the leadership attribute value of each IP pet toy, and determining a leader candidate list; according to the leadership numerical value of each pet in the leader candidate list, establishing a dominant right distribution rule tree, and generating a dominant right distribution result; and after obtaining a dominant right distribution result, according to the behavior pattern of the dominant and the affiliation relationship of other pets, evaluating the behavior execution priority sequence of each pet to obtain a behavior scheduling table.

The invention mainly discloses a cloth inspecting machine integrated with a quality detection cooperation and interaction suite group. The cloth inspecting machine is integrated with the quality detection cooperation and interaction suite group. Particularly, the quality detection collaborative interaction suite group further provides the following functions: (1) providing and intuitively displaying the position of the detected defect on the cloth; (2) when the flaw detection result is misjudged, a user (a quality inspector) operates a tablet computer provided by the quality detection collaborative interaction suite group to delete the misjudged flaw detection result online; (3) when a flaw category identification error occurs in a flaw detection result, the user operates the tablet computer to correct the flaw category identified by the error online; and (4) when missing detection occurs, the user operates the tablet computer to add one or more images containing flaws into the database.