743 results about "Interactive control" patented technology

The invention relates to the technical field of mineral resource management, in particular to a mineral resource dynamic prediction and mining management system which comprises a data perception and fusion layer, a unified digital twinborn model, a dynamic prediction and decision intelligent agent and a visualization and interaction control layer. The data perception and fusion layer collects structured data such as geological exploration and mining environment and market unstructured data, and generates a unified space-time tensor through processing; the unified digital twinborn model generates a dynamic comprehensive mining area situation map containing resource reserve risk economic indicators through a three-dimensional convolutional neural network embedded with an attention mechanism; the dynamic prediction and decision-making agent predicts future reserves and geological risks, and constructs a dual-objective optimization model to generate an optimal mining path equipment scheduling and resource allocation scheme; and the visualization and interaction control layer presents the mining area state and the decision scheme in a three-dimensional manner and provides an interaction interface. According to the invention, the data utilization rate and decision scientificity are improved, the safety risk is reduced, and mine management intellectualization is promoted.

The invention relates to the technical field of computer graphic interactive processing, in particular to a real-time interactive image generation system based on a multi-point touch canvas. The input acquisition unit is used for acquiring original touch data from an operating system and preprocessing the original touch data; the gesture recognition and analysis unit is used for performing high-level semantic behavior analysis on the contact data sequence processed by the preprocessing module; the interaction control and parameter mapping unit is used for receiving the semantic event output by the gesture recognition and analysis unit, analyzing the semantic event into an image control command and generating an executable command sequence; and the image generation unit generates interactive image content dynamically responded in real time based on an internal graph state management mechanism. By introducing the adaptive Kalman filtering and trajectory prediction auxiliary mechanism, the filtering intensity of the contact data can be dynamically adjusted, the efficient suppression of finger jitter and the consistent reconstruction of the contact ID are realized, and the input stability and data continuity under the multi-point touch operation are remarkably improved.

The invention discloses a multi-modal interaction control method for a Bluetooth knob screen, and relates to the technical field of multi-modal interaction control, and the method comprises the steps: synchronously collecting and forming a multi-modal feature vector set, and outputting a final operation instruction through a multi-modal fusion model; performing function mapping according to the final operation instruction, and identifying a control command; judging whether to resend the same instruction or adjust the instruction parameter based on the control command, and dynamically adjusting the tactile feedback parameter based on the function mapping of the current scene mode; performing low power consumption management based on the dynamically adjusted tactile feedback parameters, and triggering scene mode mapping update according to the wake-up instruction type; and optimizing the instruction output accuracy and the function mapping rule of the multi-modal fusion model based on the updated user interaction data. According to the method, deep fusion and intelligent cooperation of multiple interaction modes are realized, and accurate output of operation instructions, intelligent management of tactile feedback and adaptive updating of scene modes are achieved through dynamic function mapping, intelligent feedback adjustment and continuous learning optimization.

The invention discloses a three-dimensional energy carbon data visualization terminal and a use method thereof. The visualization terminal comprises a data acquisition module, a data processing module, a visualization display module, an interaction control module and a communication transmission module. The data acquisition module acquires a voltage signal, a current signal and a carbon emission signal of the park power equipment in real time; the data processing module performs energy-carbon coupling analysis on the original data to generate an analysis result; the visual display module dynamically displays the energy and carbon monitoring data, the electric power parameter waveform change trend, the incidence relation between energy consumption and carbon emission and abnormal event information; the interaction control module receives a user instruction and adjusts display content; and the communication transmission module performs data interaction with a remote management platform. Through multi-module cooperation, real-time acquisition, coupling analysis and three-dimensional dynamic visualization of energy and carbon data are realized, comprehensive energy efficiency and carbon efficiency management support is provided for an industrial park, and the decision efficiency of energy optimization and carbon emission regulation is improved.

The invention provides a method and a system for intelligently interactively controlling water production equipment. Wherein heavy metal ion concentration data is collected in real time through a multi-node sensing array, concentration difference fluctuation of adjacent monitoring points is analyzed, and a pollutant diffusion track is deduced; when the monitoring data exceeds the standard, switching of a standby water source is triggered based on a diffusion trajectory analysis result, and a reverse cleaning instruction is generated in combination with the dynamic ratio of the concentration gradient change rate to the diffusion speed; dynamically correcting the concentration deviation by utilizing fluid mechanics parameters in a high-pressure impact process in cooperation with multi-dimensional sensor data, and generating environmental response type pollution grade parameters; finally, a pollutant migration path in the three-dimensional diffusion model is matched according to the pollution level, a decision signal containing emergency water source coordinates and the cleaning priority is output, and full-process closed-loop intelligent control from pollution monitoring to emergency decision is achieved. According to the technical scheme provided by the invention, the response speed and the disposal accuracy of the water quality sudden pollution event are improved.

The invention provides a multi-source information fusion automobile light personalized interaction control system and method, and relates to the technical field of automobile intelligent light control. The system comprises a multi-source sensing module, a data preprocessing module, a data analysis processing module and a vehicle lamp driving module. The multi-source sensing module collects multi-source heterogeneous data, after the multi-source heterogeneous data is processed by the data preprocessing module, fusion analysis and intelligent decision are carried out by the data analysis processing module, a control instruction is generated, and finally, the instruction is executed by the vehicle lamp driving module and a state is fed back. According to the invention, the defects of the existing automobile light control technology in the aspects of intelligence, situational and individuation are overcome, the efficient, intelligent and individualized control of the automobile light is realized, and the driving safety, comfort and entertainment are improved.

The invention discloses an intelligent cabin interaction control method and system and a vehicle, and the method comprises the steps: obtaining the physiological and behavior data of a driver, and the physiological and behavior data comprise electroencephalogram signal data, eye image data, sound data and gesture image data; preprocessing the physiological and behavior data to obtain the intention tendency of the driver; and based on the intention tendency of the driver, adopting a multi-mode fusion decision to generate a vehicle control instruction. The intelligent cabin interaction control system comprises a brain-computer interface subsystem, a multi-mode interaction subsystem, a central fusion and control unit and an equipment execution subsystem. According to the invention, a more accurate vehicle control instruction conforming to the expectation of a driver can be obtained, and the situation that the vehicle cannot be executed due to the conflict of the vehicle control instructions output by different modules is prevented.

The invention relates to the field of health data processing, and particularly discloses a virtual reality-driven children tic disorder multi-modal data evaluation and intervention system, which comprises a data acquisition and evaluation module, a data processing module, a data processing module and a data processing module, a professional evaluation scale and an algorithm are adopted to comprehensively evaluate the severity, psychological tolerance and social adaptability of the tourette syndrome of children to obtain an evaluation result; a scene generation and sorting module which is connected with the data acquisition and evaluation module, generates diversified virtual reality scenes according to the evaluation result, carries out the intelligent sorting of the scenes according to a difficulty gradual increase principle, and builds a high-authenticity scene through a high-precision modeling technology; and the interaction control and behavior guide module is used for realizing interaction between the child and the virtual reality scene. By adopting the technical scheme of the invention, personalized evaluation and immersive scene experience can be realized, and intelligent intervention and feedback can be realized.

The invention discloses a whole-process vascular interventional operation training method and system based on a virtual reality technology, and the method comprises the steps: firstly, developing a vascular interventional mechanics and collision simulation module, and achieving the deformation simulation of a blood vessel and a guide wire through the combination of position dynamics, a region shape matching technology and a Cosseerat elastic rod model, the collision between the blood vessel and the guide wire is treated by adopting a wide-to-narrow three-layer progressive collision detection method; secondly, constructing an immersive virtual operation scene through model construction and rendering optimization; visual angle roaming, instrument operation and interface interaction are fused, and multi-mode interaction control driving intervention training is achieved; finally, based on a'module-event 'dual-drive framework, operation tasks such as anesthesia, puncture, radiography, intervention, stent release and hemostasis are sequentially connected in series through a unified state machine, and whole-process training is achieved. The accuracy and stability of blood vessel and guide wire simulation are improved, the training immersion sense is enhanced, interventional operation whole-process training is achieved, and high teaching and practical value is achieved.

The invention discloses an interaction control method and system for an intelligent agent and a front-end and back-end system, and the method achieves the automatic control of the intelligent agent on the front-end and back-end system through the integration of a large language model. The method comprises the following steps: an intelligent agent performs natural language intention recognition through a large language model, automatically selects a proper tool, extracts parameters required by the tool, converts the intention into a target task, generates a structured control instruction, maintains a complete session history and supports multiple rounds of dialogue interaction; the back end receives a user request, calls an intelligent agent to generate a structured instruction, transmits the structured instruction to the front end, and dynamically adjusts a subsequent instruction according to the received front end feedback; and the front end receives the instruction transmitted by the rear end, automatically identifies an instruction format through a regular expression, performs corresponding operation after parameter verification and feeds back a result. According to the method, unified control of the agent on the front-end UI and the back-end business logic is realized, complex multi-round dialogue and multi-step operation are supported, and the method has a wide application prospect.

An improved electronic wager-based gaming machine (EGM) is disclosed. The EGM supports multiple concurrent players and maintains a plurality of distinct virtual meters, each exclusively associated with a distinct, concurrent game session on a single EGM. The server processes financial transactions, such as deposits and withdrawals using the EGM's cash handling peripherals, against a specific virtual meter and a corresponding player's casino account, which is maintained separate from the EGM's operational funds. This enables the EGM to act as a financial terminal for the player's account. Concurrently, data derived from the virtual meters is transformed and aggregated into a single, unified regulatory meter for compliance reporting, which is distinct from the virtual meters. The EGM provides a shared multiplayer interactive control interface to solve the technical problem of supporting multiple, independent player sessions concurrently on a single EGM.

The invention discloses a multi-device and multi-mode centralized control system which comprises an interaction control end and a device assembly. The interactive control end is configured according to three different control modes of centralized control, independent control and hybrid control, in the centralized control mode, a set of main control unit is configured for all devices, and the main control unit comprises a main control server which is used for operating a main control program and coordinating and controlling operation of all device components; in the independent control mode, each equipment component is provided with a corresponding embedded controller, and the embedded controller comprises an embedded control server which is used for operating a main control program for controlling the corresponding equipment component; in the hybrid control mode, one or more independent devices are provided with embedded controllers, the embedded controllers communicate with the main control server, the device assembly comprises a device body and a driving unit, and the device body is driven by the driving unit to achieve various operation functions. According to the invention, centralized control of multiple devices in a large-scale manufacturing factory can be realized.

The embodiment of the invention provides a continuous blood oxygen monitoring system in extracorporeal circulation and a control method thereof. The continuous blood oxygen monitoring system comprises a vein sensor, an artery sensor, a blood flow sensor, an oxygen sensor, a carbon dioxide sensor, a controller and a display, the vein sensor monitors the vein blood oxygen saturation degree; the artery sensor monitors arterial oxygen saturation and hematocrit; the blood flow sensor monitors the blood flow of the artery pipeline; the oxygen sensor monitors the oxygen concentration of the oxygenator; the carbon dioxide sensor monitors the carbon dioxide concentration of the oxygenator; the display provides an interaction control, responds to a trigger operation acting on the interaction control, sends an interaction instruction to the controller, and updates information displayed in an interaction interface according to the control of the controller; the controller receives the interaction instruction and executes processing corresponding to the interaction instruction; the processing includes controlling display information of the display; the display information comprises information corresponding to the monitoring parameters. The scheme ensures the safety and effectiveness of the treatment process.

The invention discloses an intelligent household water processing terminal interaction control system based on 2.4 G hotspot networking, and particularly relates to the technical field of household water processing terminal interaction control. The overall system time sequence risk is accurately assessed by generating a time sequence consistency loss index, dynamic sampling adjustment, code rate optimization and control action rectification strategies are triggered based on the index, key data are uploaded preferentially, key control actions are executed preferentially, the problems of data transmission conflicts and time sequence lagging are effectively relieved, and meanwhile, the data transmission efficiency is improved. A node execution result and a control action receipt record are written into a state mirror image, the state mirror image and a time sequence consistency loss index are jointly evaluated to generate a safety degradation condition, and an executable safety strategy is synchronously issued, so that self-adaptive degradation and quick recovery of a system under abnormal conditions are realized, and continuity and stability of a water treatment process are ensured.

The invention discloses an intelligent management and control method and equipment for an intelligent building and a medium, belongs to the technical field of intelligent buildings, and is used for solving the technical problems that subsystems are isolated, data query is inconvenient and intelligent guidance is lacked in maintenance in property management, maintenance and operation of the existing intelligent management and control technology for the intelligent building. The method comprises the steps of performing intelligent control on an equipment docking mode, a task distribution mode and a building business integration mode in a target building, and generating a building control service strategy related to equipment control; performing operation integration on various databases in the target building, and determining a data query service strategy under related data retrieval; performing question and answer interaction processing on the abnormal information in the target building to generate an intelligent question and answer service strategy under related abnormal answers; and carrying out multi-mode interaction control on the building control service strategy, the data query service strategy and the intelligent question and answer service strategy through a preset MCP protocol architecture so as to complete comprehensive response to a user instruction.

The invention discloses a photovoltaic park energy storage configuration and power utilization behavior interaction method based on a master-slave game, and belongs to the technical field of distributed energy system optimization control, and the method comprises the steps: S1, comprehensively considering the influence of various uncertainties on energy storage capacity configuration and a charging and discharging strategy, and building an upper optimization model; s2, considering factors of photovoltaic output uncertainty, and establishing a lower-layer optimization model; s3, according to the models established in the step S1 and the step S2, an energy storage optimization configuration and power utilization behavior optimization model is established based on the principle of a master-slave game theory, an optimal solution is obtained, and the model structurally presents a hierarchical characteristic and is specifically divided into an upper hierarchy and a lower hierarchy; the photovoltaic park energy storage configuration and power utilization behavior interaction method based on the master-slave game provided by the invention is suitable for an interactive regulation and control scene between energy storage and users in a photovoltaic park, and provides theoretical support and a practical path for efficient utilization of renewable energy sources and energy storage system configuration.

The invention provides an interaction control method and device of a foot type robot, equipment and a medium. The interaction control method comprises the following steps: determining local accumulated point cloud data according to pose transformation information and registered point cloud data; performing passable judgment on the foot-type robot through the local accumulated point cloud data to obtain a local passable region; according to the local accumulated point cloud data, low obstacle point cloud data and impassable obstacle point cloud data of the foot-type robot in a local passable region are determined; clustering the low obstacle point cloud data to obtain a low obstacle representation shape; clustering the impassable obstacle point cloud data to obtain an impassable obstacle representation shape; and rendering the low obstacle representation shape and the impassable obstacle representation shape into a local passable region displayed in a first display interface at the handle end of the foot robot in real time. Therefore, the user experience is effectively improved.

The invention provides an interactive control system and method for a power module and an overcharge pile, a storage medium and a computer program product, and the method comprises the steps: obtaining a charging control parameter according to the input time sequence state data of a battery through a charging control parameter prediction model based on deep learning; generating a power instruction according to the charging control parameter and sending the power instruction to the power module; after the power supply module executes the power instruction, an instruction execution result and battery state data are transmitted back to the overcharge pile main control software; and the overcharge pile main control software adjusts the weight of the charging control parameter prediction model according to the received data or regenerates a power instruction based on the latest battery time sequence state data. According to the invention, the charging time can be shortened, the risks of overheating, overcharging and the like can be prevented, different battery states and complex working conditions can be adapted, and the real-time requirement of an overcharging scene on a control instruction and state data can be met.

The invention provides a spatio-temporal data volume rendering method oriented to an unreal engine, and belongs to the technical field of spatio-temporal data volume rendering. Ocean spatio-temporal data in a NetCDF format is acquired, a two-dimensional volume texture is generated, and a video memory partition management system is established to divide a GPU video memory into an upper layer video memory grid and a lower layer video memory grid; a double-layer game algorithm is adopted to realize differentiated resource allocation, a volume rendering material object is created in an unreal engine, a volume coloring framework based on light stepping is established, and the sampling step length is dynamically adjusted through an adaptive light stepping algorithm, so that efficient volume texture sampling based on a video memory grid is realized. And executing ray casting calculation to generate a three-dimensional visualization effect, establishing dynamic interaction control of space-time dimension to realize synchronous display of multi-source ocean data, and solving the technical problem of low rendering efficiency caused by unreasonable video memory resource allocation in the ocean space-time data three-dimensional visualization rendering process.

The invention discloses a control method for wireless charging of an electric vehicle, which comprises the following steps of: detecting whether the current vehicle is in a wireless charging area or not in real time through a vehicle-mounted wireless charging module, and when the vehicle is detected to enter the wireless charging area, sending a reminding signal through a vehicle-mounted large screen to remind the area where the current vehicle is located. The method has the advantages that reminding, control and interaction in the wireless charging process are achieved through interaction control, and the accuracy of starting control of wireless charging and the experience feeling of a user during wireless charging are effectively improved.

The invention discloses a cooperative control simulation system for an underwater robot and an umbilical cable system, belongs to the technical field of ocean engineering simulation and automatic control, and is used for analyzing system dynamic characteristics in the research and development stage of deep sea operation equipment. Comprising an environment initialization and marine environment construction module, a mother ship model construction module, an underwater robot and umbilical cable coupling module, an instruction generation module, a man-machine interaction control module and a data acquisition and storage module. According to the method, an external interference source with physical authenticity is provided for a control algorithm by combining an energy density function and simulating a composite environment modeling method of a sea level height field and an LOD dynamic grid, and a distributed model prediction control algorithm for uniformly optimizing underwater robot trajectory tracking and umbilical cable tension safety maintenance is constructed; data such as the motion state of the underwater robot and the tension of the umbilical cable can be output in real time, algorithm performance testing is completed in a virtual environment, and dependence on high-cost sea testing is not needed.

The invention discloses a brain-computer interface interaction control device and method based on multi-mode brain signal fusion. The device comprises a perception acquisition layer, an edge processing layer, a fusion decoding layer, a control application layer and a closed-loop optimization cloud platform. The sensing acquisition layer synchronously acquires multi-modal brain signals; the edge processing layer adopts a condition alignment time sequence diffusion model to carry out signal enhancement and completion; the fusion decoding layer realizes multi-modal feature fusion and intention decoding through a lightweight graph neural network; the control application layer provides adaptive control mapping and multi-mode feedback; and the closed-loop optimization cloud platform realizes continuous performance optimization through federated learning and incremental learning. According to the method, the problems of single signal, insufficient precision and poor practicability of a traditional brain-computer interface are effectively solved, the decoding precision, the real-time performance and the individuation degree of the system are remarkably improved, and the method can be widely applied to the fields of intelligent home control, medical rehabilitation training, industrial control and the like.

The invention relates to a network security situation display method and system, and belongs to the technical field of network security research. The method comprises the following steps: (1) data acquisition; (2) threat detection and analysis; (3) creating a scene through an Object3D method, drawing an earth world map boundary and a data fragmentation request, rendering an attack path, and generating a dynamic topological graph; and (4) performing interaction control by the user. According to the method, the distribution condition of the network security situation in the global range can be clearly displayed through color changes, marks and light and shadow effects of different areas on the 3D earth surface, meanwhile, a dynamic topological graph, a risk thermodynamic diagram and a time sequence diagram are matched, the network structure, the risk degree and the situation development trend are comprehensively presented, and the network security situation can be displayed. Complex network security data are displayed in a visual and understandable graph, the information acquisition efficiency is greatly improved, and a user does not need to find key information in mass data difficultly.

The invention relates to the technical field of regulation and storage pool operation management, in particular to an interactive control method and system for urban regulation and storage pool operation management. The method comprises the following steps: acquiring geometric structure parameters of the storage tank; setting dynamic boundary parameters based on the geometric structure parameters; wherein the dynamic boundary parameters comprise a safe water storage upper limit, a suggested emptying water level and a forced emptying water level; constructing a three-dimensional interactive visual interface containing a space-time constraint relation according to the dynamic boundary parameters; and in response to an interactive working condition switching instruction input in the three-dimensional interactive visual interface, performing virtual execution verification, and after the virtual execution verification is passed, converting the equipment linkage rehearsal sequence into a control instruction and issuing the control instruction so as to realize operation management of the urban regulation and storage pool. By constructing the three-dimensional water level dynamic boundary mapping and equipment linkage virtual rehearsal mechanism, visual perception of working condition switching and water hammer resistance safety verification are achieved, and the problems that the operation opportunity is difficult to judge and the hidden danger of misoperation is caused are solved.

A container simulation network system based on a link autonomous agent is composed of a visual interaction module, a control plane module, a network simulation module and a resource management module. The modules perform information interaction and task collaboration through a uniform interface so as to realize automatic construction and management of the simulation network, a two-layer architecture design of network bridge containers and user containers is adopted, and each user container corresponds to one network bridge container; a link autonomous agent module is deployed in the network bridge container and is used for collecting a link state, calculating a performance adaptation degree and executing a scheduling operation bit; the visual interaction module realizes visual monitoring and interaction control of a simulation state; the control plane module is responsible for simulation scene analysis, link parameter generation and global scheduling management; and the network simulation module is responsible for calling a container generation tool to generate a specific container instance and carrying out resource monitoring and adjustment on the container.

The invention discloses a bridge self-adaptive rapid dismantling system and method based on digital twin and SPMT module vehicles, and the system comprises construction equipment which is used for cutting and dismantling a bridge structure; the SPMT module vehicle cluster is used for bearing and jacking a bridge structure; the digital twinborn decision-making platform comprises a data acquisition module, a simulation analysis module and a control interaction module, and the data acquisition module is used for acquiring operation state data of a bridge structure and construction equipment in real time; the simulation analysis module is used for carrying out stress analysis on the bridge structure, predicting stress distribution in the cutting, jacking and transportation processes, comparing preset data with a threshold value, triggering a corresponding three-level alarm mechanism if the preset data is greater than the threshold value, and optimizing a moving path of the SPMT module vehicle by adopting a preset dynamic path planning algorithm; and the control interaction module is used for realizing real-time data exchange and interaction control among the digital twinborn decision-making platform, the SPMT module vehicle and the construction equipment. The construction safety level and efficiency can be remarkably improved.

The invention relates to the technical field of data processing, and discloses a multi-scene interaction control method and system in an IPTV education platform. The method comprises the steps that a user behavior data set is generated through educational behavior Latin hypercube sampling, a standardized educational scene type is obtained based on three-dimensional similarity calculation, an educational space-time hypergraph is constructed to extract scene feature vectors, a resource optimization model with the minimum delay cost as the target is established, and a standardized educational scene is obtained. And pre-allocation of network bandwidth and server resources and rapid scene switching scheduling are realized. The problem that multi-scene interaction control in an IPTV education platform lacks specialized sampling, modeling and optimization technologies is solved. According to the invention, the response speed of education scene switching and the intelligent level of resource allocation are improved.

The invention relates to the technical field of intelligent decision making, can be applied to business scenes such as financial science and technology and medical health, and discloses an interaction control method, device and equipment based on multi-source perception, and a medium, and the method comprises the steps: collecting and preprocessing multi-source heterogeneous perception data in an operation environment, and generating a standardized perception data set; analyzing the current state information of the interaction object and the constraint condition of the working environment based on the standardized sensing data; generating an action strategy by using the optimization model in combination with the task target and controlling the robot to execute; and collecting execution feedback data in the execution process, adjusting and controlling output according to the execution deviation, and performing safety monitoring and optimization model updating based on the execution feedback data. According to the method, the execution feedback data is introduced into the safety monitoring and optimization model updating process, closed-loop self-adaptive control is formed, the robot can dynamically adjust the action strategy according to the state change, and therefore the execution safety and adaptability in the complex environment are improved.

Embodiments of the present disclosure provide a media content picture display method and device, electronic equipment, storage medium and program product. The method comprises: obtaining a media content display interface to be displayed, the media content display interface comprising a first region and a second region, the first region displaying at least part of an interactive control of the media content display interface, and the second region being an original picture display region of the media content display interface; determining a target picture display region of the media content display interface, wherein whether the target picture display region contains the first region is associated with an interface size of the media content display interface; displaying the media content display interface and displaying a target media content picture in the target picture display region. The above technical solution can enrich the determination method of the picture display region in the media content display page.

The invention discloses a wheelchair robot which comprises a seat and a movable chassis, an interaction control module and a motion control module are arranged on the movable chassis, a mechanical arm is arranged on the seat, a first camera is arranged on the mechanical arm, and a second camera is arranged on the seat. A first radar and a second radar are arranged on the two sides of the movable chassis respectively, and the first radar, the second radar and the second camera are electrically connected with the motion control module. Through cooperation of the first camera, the second camera, the first radar and the second radar with the interaction control module and the motion control module, the detection visual field of the wheelchair robot can be widened, so that the surrounding environment of the wheelchair robot is comprehensively sensed, and the safety of the wheelchair robot during use is improved.