12 results about "Virtual intelligence" patented technology

This invention discloses a multi-objective collaborative optimization control method for energy storage systems in microgrids, comprising: constructing a digital twin of the physical microgrid; defining a first virtual agent and a second virtual agent within the digital twin, wherein the first agent optimizes for long-term economic efficiency, and the second agent optimizes for short-term stability; based on real-time collected load data, renewable energy generation forecast curves, and equipment status, the two agents engage in game negotiation through a rolling time window mechanism until the negotiation process satisfies Nash equilibrium constraints; and sending the power command reached through the game to the power conversion unit of the physical energy storage system for execution via an encrypted communication protocol. This invention constructs a virtual model synchronized in real time with the physical microgrid and achieves precise and efficient control of the energy storage system through game negotiation between two virtual agents with different optimization objectives. This solves the problem of balancing economic efficiency and stability in microgrid operation.

This application relates to a self-optimizing control method and system for the operating state of an AI smart gateway. The method includes: preprocessing the real-time operating data of the gateway to obtain a unified state representation; calculating conflict features based on the covariance of historical multi-objective performance reward data; inputting the unified state representation into a target-specialized virtual agent to generate preference suggestions; extracting dynamic environmental features; inputting these and the conflict features into a meta-coordinator network to output jointly optimized actions; constructing an experience tuple; triggering a rapid adaptive mechanism when the environment changes abruptly; freezing the parameters of each target-specialized virtual agent; and updating the meta-coordinator network. This method, by constructing a hierarchical architecture of target-specialized virtual agents and a meta-coordinator, and introducing conflict feature perception and a meta-learning rapid adaptive mechanism, achieves dynamic modeling of multi-objective conflict relationships and rapid policy transfer under sudden scenarios, thereby improving the efficiency of multi-objective collaborative optimization and adaptive decision-making capabilities of the AI ​​smart gateway in dynamically changing environments.

The invention discloses a hanging basket construction whole process early warning system and method integrating digital twinning and the Internet of Things, and relates to the technical field of bridge engineering and intelligent construction. The method comprises the following steps: constructing a high-fidelity digital twinborn body of a hanging basket structure, calling a preset working condition simulation prediction model to carry out multi-path evolution deduction and risk assessment according to a preset or dynamically generated future construction working condition based on the current state of the digital twinborn body, generating graded early warning information and decision suggestions, and feeding back the graded early warning information and decision suggestions to a physical construction end, according to the working condition simulation and prediction model, a hanging basket structure is discretized into an intelligent cellular network, virtual agents with different objective functions are introduced, and the emergence behavior and risk of a system under the construction working condition are predicted by simulating self-adaptive evolution between cells and a dynamic game between the agents. The fundamental change of hanging basket construction early warning from static monitoring to dynamic deduction, from a single threshold value to a system game, and from post-event alarm to beforehand intervention is realized.

This invention relates to the field of artificial intelligence interaction technology, and discloses a method and apparatus for establishing intelligent agent friendships based on near-field touch. The method includes: when a first hardware carrier detects a near-field touch event, generating a first temporary token and broadcasting the first temporary token to a second hardware carrier; when the second hardware carrier detects a near-field touch event and receives the first temporary token, generating a second temporary token and a pairing response credential; performing multi-dimensional verification based on the first temporary token, first touch event data, second temporary token, pairing response credential, and second touch event data; when the multi-dimensional verification passes, establishing a friendship relationship between the first and second intelligent agents, sending the binding result to the first hardware carrier, second hardware carrier, client, and corresponding virtual intelligent agent, and updating the interaction state. This invention reduces mispairing and improves pairing success rate and interaction security through bidirectional triggering, one-time tokens, and multi-dimensional verification.

The application discloses a kind of multi-wheel mobile robot modularization formation collision avoidance control system and method, including online regulator module and trajectory tracking controller module.First, a plurality of virtual intelligent agents are constructed in online regulator module, and formation collision avoidance reference trajectory satisfying the requirements of wheeled mobile robot system is generated;Then, the trajectory tracking controller module of wheeled mobile robot is designed, so that it accurately tracks formation collision avoidance reference trajectory, to realize formation collision avoidance control.The system and method of the application can perform formation collision avoidance task without changing the controller of wheeled mobile robot, enhance the generality and convenience of design, is the expansion of prior art method, and is also a kind of prediction to possible application direction of future multi-wheel mobile robot system.

This invention relates to the field of virtual-real fusion interaction technology, and discloses a method, apparatus, device, and medium for virtual intelligent agent interaction based on a physical carrier. The method includes: acquiring interaction event data from a physical hardware device; encoding the interaction events in the interaction event data to obtain a unique event identifier; validating the interaction behavior based on the unique event identifier; when the validation passes, uploading the unique event identifier and event proof to a server via a user terminal; upon receiving the unique event identifier and event proof, the server performs a legality verification; if the verification passes, querying the target virtual intelligent agent based on the unique event identifier and a preset binding mapping relationship; and updating the interaction state of the target virtual intelligent agent according to the event type corresponding to the unique event identifier. This invention acquires NFC touch and inertial interaction events through physical hardware, generates unique event identifiers, and drives the virtual intelligent agent to update its state, thereby improving interaction security and preventing interaction misjudgments.

A system for managing and optimizing real world entities with machine learning algorithms are described including a server computer system configured to store and process input data, the server computer system comprising a memory and a processor; and wherein the memory of the server computer system stores a persistent virtual world system comprising virtual replicas of the real world entities, and wherein the server computer system is configured to generate explicit data sets representing functioning and behavior of the real world entities; train the machine learning algorithms with the explicit data sets to generate trained machine learning data sets; and apply the trained machine learning data sets in an artificial intelligence application to manage operation of the real world entities and generate real behavior data of the real world entities during the operation of the real world entities. Corresponding methods are also described.

This invention discloses a VR-based wayfinding system interaction method and server. The method first acquires and parses a scene scan dataset of the target virtual reality scene. Next, it creates a pair of interactive virtual agents, including an environment-building agent and a narrative-eroding agent, and configures an environment memory model and a fictional anchor point generation strategy for each. Then, it drives the interactive virtual agents in an adversarial game, iterating alternately until a preset equilibrium condition is met, outputting a game-based wayfinding path and a set of target fictional anchor points. Furthermore, it assigns matching fictional anchor points to wayfinding nodes and generates activation commands to combine them into a narrative wayfinding path. Finally, it performs wayfinding interaction rendering in the target virtual reality scene, overlaying virtual information content according to the fictional anchor point activation commands to output a blended image to the user device, thus improving the intelligence and personalization of wayfinding interaction in virtual reality scenes.

Techniques are described for a virtual smart network interface card to facilitate data transmission in an edge device providing cloud-computing operations. A private virtual network data plane hosted within an execution environment of the cloud-computing edge device can receive a request to create a virtual network interface. The request can include a networking command. The private virtual network data plane can send the networking command to a command proxy module. The command proxy module can then use the networking command to generate the virtual network interface within a first networking namespace of a host operating system executing on the cloud-computing edge device.

This invention proposes a quality control system and method for external beam radiotherapy based on a virtual intelligent medical platform. The system includes: a mixed reality device for acquiring spatial information and patient images within the treatment room, and overlaying a virtual image interface providing instructional information onto the real scene; and a server, communicatively connected to the mixed reality device, sending instructional information to the mixed reality device, receiving images of the implementation process acquired by the mixed reality device, determining whether the implementation process meets quality requirements, and sending the determination result back to the mixed reality device. This invention achieves intelligent, end-to-end quality control of radiotherapy positioning and treatment without altering existing workflows. Intelligent guidance, inspection, and recording are implemented throughout the radiotherapy positioning process, enabling paperless operation and full traceability; intelligent patient monitoring is achieved throughout the treatment process, avoiding oversights caused by human intervention.

The application discloses a kind of optimal frequency trajectory collaborative control method and system of wind farm based on contrast clustering and hierarchical reinforcement learning, first dynamic screening adjustable frequency fan of the application;Adopt contrast learning to pre-train feature extraction network on mass historical data, fan state is mapped to low-dimensional feature space;Online density clustering is carried out in feature space using adaptive density clustering algorithm, and arbitrary shape group is automatically formed, and unassigned fan is not involved in control as noise point;Each group is regarded as virtual intelligent agent, and the lowest point of system frequency is significantly improved by training inter-group collaborative strategy through multi-agent deep deterministic policy gradient algorithm with theoretical optimal frequency trajectory as tracking target, avoid secondary drop, simple structure, training efficient, with good engineering practicability.