75 results about "Cooperative interaction" patented technology

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 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 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 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 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.

This invention provides a multi-source collaborative interaction optimization method and system based on capacity domain, comprising: constructing a capacity demand domain for renewable energy considering the total output deviation of renewable energy over continuous periods; transforming the adjustment capabilities of each flexible resource within the system into corresponding constraints to construct a capacity adjustable domain reflecting the total adjustment capability of flexible resources over multiple periods; constructing a grid-source cluster interactive optimization potential game model and solving it using a distributed optimization algorithm and parallel optimization process; taking the sum of the capacity adjustable domains of all flexible resources in the system being no less than the total capacity demand domain of all renewable energy as a global constraint, adding it to the potential game model in the form of a penalty function to make the decision result feasible in all scenarios; improving the multi-source collaborative game process into a parallel process, enabling all game subjects to participate in optimization synchronously, and achieving collaborative interaction among various game subjects in the power grid through the combination of adjustable power domain and improved potential game, thus unifying individual optimization and global optimization.

The invention discloses a cooperative interaction control system of an amphibious vehicle, which comprises a vehicle control unit, a multi-path CAN and a serial port server, and is characterized in that the vehicle control unit VCU cooperatively controls each control unit in the vehicle through the multi-path CAN; the vehicle control unit VCU is connected to an external control system through a serial port server so as to achieve remote low-delay communication interaction or unmanned control. The system has the advantages that the integrated architecture data interaction of the whole vehicle can be realized through the designed CAN and Ethernet serial port communication combined electrical architecture, and the cooperative control of the whole vehicle is realized. Redundant control of an unmanned system can be expanded, and the intelligent control level of an amphibious vehicle is improved.

The invention discloses a hand personalized geometric model construction method for a multi-finger collaborative interaction system and an intelligent ring device, the system comprises a plurality of intelligent rings which are respectively worn on different fingers of a user, and each intelligent ring is provided with an inertial measurement unit and a physical sensing switch. The method comprises the following steps: calibration triggering: prompting a user to keep a preset static hand posture, and sequentially triggering the physical induction switches of the intelligent rings on the corresponding fingers; recording spatial data: recording spatial attitude data collected by the inertial measurement unit corresponding to the intelligent ring; relative parameter calculation: according to the predetermined finger sequence, the recorded spatial attitude data and a known connection topological relation between the intelligent rings or a connection topological relation measured through wireless communication, calculating to obtain a personalized parameter set representing the hand form of the user; and model storage: storing the personalized parameter set as a hand personalized initial geometric model of the user.

The invention discloses a DCS remote cooperative operation and maintenance system based on AR, and particularly relates to the field of operation and maintenance management, and the system comprises an acquisition module, a parameter mapping module, a resource intelligent matching module, a precise positioning module, an operation synchronization module, a dynamic verification module, an intelligent decision iteration module and a training module. The acquisition module is used for acquiring multi-dimensional parameters and storing the multi-dimensional parameters to a distributed database after performing standardization processing on the multi-dimensional parameters; the parameter mapping module is used for constructing an AR three-dimensional scene model based on spatial positioning data, calculating a scene modeling precision coefficient and dynamically mapping standardized parameters to the model; through cooperative matching degree calculation and cross-terminal AR cooperative interaction, optimal configuration and operation synchronization of operation and maintenance resources are realized, the problems of poor cooperative synchronization and low resource scheduling efficiency in the prior art are solved, the cooperative management efficiency is enhanced, the fault response and handling time is shortened, the operation and maintenance cooperative efficiency is improved, and the user experience is improved. And the real-time cooperation requirement of complex fault handling is met.

The invention relates to the technical field of medical health, and discloses an intelligent lower limb rehabilitation training and interaction system which is characterized in that by monitoring lower limb muscle electric signal state data of a patient during rehabilitation training in real time, at least one change node of the electric signal state data is marked as a memory point; obtaining a state memory point data set; based on the state memory point data set, acquiring rehabilitation training information data fed back by the state memory point data set through a visual interface, so that a patient and a doctor perform cooperative interaction; according to the feedback rehabilitation training information data, the rehabilitation condition of the lower limb muscle electric signal state of the patient is judged, and a rehabilitation training scheme is adjusted in time; when an abnormal condition occurs in the process of adjusting the rehabilitation training scheme, quick response is made and training is immediately suspended so as to output abnormal early warning information; therefore, the patient can perform lower limb rehabilitation training more conveniently and efficiently at home.

The application discloses a document processing method and device based on intention perception, and relates to the technical field of artificial intelligence. The method comprises the following steps: converting text data, image data and behavior data into text features, image features and behavior features through corresponding pre-training models respectively; mapping the features to a shared feature space through a full connection layer after splicing to obtain a shared feature after document-behavior-visual fusion; preliminarily predicting the shared feature through an intention prediction module, a content recommendation module and a chart analysis module to obtain three corresponding preliminary prediction results; and dynamically optimizing the preliminary prediction results according to a pre-set interaction rule to obtain an optimized target text and an optimized chart abstract to generate a target document. According to the embodiment of the application, the preliminary results of the three modules are optimized through a cooperative interaction mechanism, the error of independent prediction is reduced, and the efficiency and accuracy of intelligent document processing are significantly improved.

The invention provides an interactive processing method, device and equipment for a virtual scene, a computer readable storage medium and a computer program product. The method comprises the following steps: for a first virtual object in a virtual scene, determining at least two second virtual objects used for interacting with the first virtual object in the virtual scene; obtaining interaction characteristics, corresponding to the at least one first virtual object on the whole, of the at least two second virtual objects; determining interaction strategies respectively corresponding to the at least two second virtual objects based on the interaction characteristics; and based on the interaction strategy, controlling the at least two second virtual objects to execute interaction behaviors respectively. According to the method and the device, efficient and cooperative interaction among a plurality of virtual objects in the virtual scene can be realized.

This invention discloses an intelligent interaction method and system for virtual mental health scenarios for adolescents, specifically relating to the field of intelligent interaction technology. It involves collecting multimodal interaction data generated in virtual mental health interaction scenarios, extracting cooperative interaction patterns to form a cooperative interaction benchmark feature library; forming an adversarial interaction feature set based on the deviation of the multimodal interaction data sequence from the cooperative interaction benchmark feature library; evaluating time series consistency and cross-modal consistency based on the cooperative interaction benchmark feature library and the adversarial interaction feature set, calculating the multimodal interaction credibility weight distribution, and generating psychological risk assessment features by combining the multimodal interaction data sequence to obtain adolescent psychological risk assessment results; and improving the effectiveness of adolescent mental health intervention by constructing an adaptive virtual dialogue strategy decision-making model and outputting virtual mental health interaction feedback information oriented towards the real psychological needs of adolescents.