1907 results about "Machine interface" patented technology

The invention provides a dynamic path planning method and system in an intelligent traffic system, and relates to the technical field of intelligent traffic. Constructing a dynamic road network traffic capacity model based on a space-time diagram convolutional network; generating a multi-branch trajectory prediction result with a confidence score, adaptively starting an encryption parameter synchronization mechanism in combination with vehicle density, and generating a candidate path set through multi-agent collaborative game optimization; performing multi-dimensional deviation degree evaluation based on actual driving data and planning expectation; synchronously generating a multi-mode cooperative guidance signal; the system comprises a multi-source data fusion unit, a space-time modeling engine, a hierarchical decision-making system, a path verification and execution module, a closed-loop feedback controller, an event response system and a multi-mode man-machine interface. According to the method, the global resource utilization efficiency is improved through cooperation of data-driven modeling and hierarchical game decision, and the real-time performance, the safety and the system adaptability of path planning are improved through a closed-loop feedback and event response mechanism.

The invention provides a comprehensive and intelligent mariculture net cage management and control system. The system integrates a multi-parameter sensor module, an underwater robot module, an underwater camera module, a central control module, a data storage and analysis module, an early warning module, a remote communication module and an automatic execution module. By monitoring multiple environmental parameters such as water temperature, salinity, dissolved oxygen and the like in real time and utilizing the underwater robot and the underwater camera to carry out autonomous inspection and fish behavior observation, the system can accurately master the culture environment condition. The AI algorithm and the intelligent model are combined, the system dynamically adjusts the bait casting amount, the oxygenation frequency and the net cage position, and the breeding benefits are effectively improved. Meanwhile, the early warning module carries out graded early warning on risk events such as typhoon and diseases, and the breeding safety is ensured. The remote communication and visual human-computer interface further enhances the remote monitoring and management capability of the system.

The invention provides a vehicle-mounted display terminal man-machine interface interaction experience optimization method and system, and relates to the technical field of vehicle-mounted man-machine interaction, and the method comprises the steps: obtaining eyeball watching, hand operation and head rotation data of a driver, and carrying out the fusion to generate an attention distribution thermodynamic diagram; constructing a dynamic scene recognition model in combination with the vehicle running state and the environment information; and calculating a function module optimization index based on the thermodynamic diagram and scene prediction, and dynamically adjusting the position, the response area and the display level of the function module. According to the invention, the interaction efficiency of drivers can be improved, the operation distraction risk is reduced, and the driving safety is enhanced.

The invention discloses a brain-computer hybrid intelligent closed-loop swallowing rehabilitation system for treating dysphagia after stroke, and relates to the field of artificial intelligence medical instruments. The system is composed of a plurality of key modules: an intelligent swallowing brain-computer interface module for accurately identifying a swallowing intention through multi-modal physiological signal acquisition and processing; the intelligent swallowing functional electrical stimulation module is used for finely regulating and controlling stimulation parameters according to the condition of the patient; the AI auxiliary online integrated module is used for realizing non-invasive brain-controlled swallowing and high-precision AI regulation and control; the closed-loop intelligent feedback regulation and control module is used for real-time monitoring, early warning and self-adaptive optimization of electrical stimulation; the cloud platform remote monitoring and data storage module supports remote diagnosis and treatment of doctors; and the man-machine interaction interface display and printing module optimizes doctor-patient interaction. According to the system, a brain-computer interface and FES are combined, a personalized, safe and efficient rehabilitation scheme is provided for a patient based on data driving and an artificial intelligence algorithm, swallowing function recovery can be accelerated, complications are reduced, and the system has great clinical and social values.

An integrated development environment (IDE) for designing, programming, and configuring aspects of an industrial automation system uses a generative artificial intelligence (AI) model and associated neural networks to generate portions of an industrial automation project in accordance with functional requirements provided to the industrial IDE system in intuitive formats, such as spoken or written plain language text. The system uses generative AI to translate plain language requests or functional specifications into industrial control code, human-machine interface (HMI) applications, device configuration settings, or other aspects of an industrial control project.

In the humanoid robot operation system provided by the embodiment of the invention, the mechanical arm is assembled on the trunk and is in communication connection with the host, the trunk is assembled on the moving mechanism, the trunk is internally provided with the host accommodating space so as to assemble the host in the host accommodating space, and the man-machine interface is assembled on the trunk and is in communication connection with the host. A generation type operation large model is deployed on the host, and the operation large model executes the following steps that basic medical record information, preoperative examination results and focus image data of a patient are received through a man-machine interface to construct a three-dimensional physiological structure model; performing feature analysis on the three-dimensional physiological structure model to mark a target surgical site and formulate a mechanical arm path according to the target surgical site; establishing a mapping relation between the path of the mechanical arm and the position of the patient to generate an action track sequence of the mechanical arm; according to the action track sequence, the moving mechanism is driven to move towards the position of the patient to reach the designated point position, and the mechanical arm is controlled to drive the surgical instrument to act so as to perform an operation on the target surgical site.

A system for interactive searches based on user queries data and a plurality of Large Language Models (LLMs) including a processor of a Human-Machine Interface (HMI) server node configured to host a network of LLMs and at least one machine learning module (ML) and connected to at least one user-entity node over a network and a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to: receive a search request input data from the at least one user-entity node; evaluate, by a first dedicated LLM, relevance of the search request input data by discerning between primary and secondary information; responsive to evaluation by the first dedicated LLM, derive classifying features from the primary and secondary information and generate a feature vector based on the classifying features; ingest the feature vector into the ML module configured to extract additional search parameters from a predictive search model based on historical search data associated with the at least one user-entity node; dissect, by a second dedicated LLM, the search request input data and the additional search parameters to separate the data into qualitative and quantitative criteria elements based on the primary and the secondary information; transform, by a third dedicated LLM, the quantitative criteria elements into structured queries for a database; process, by a fourth dedicated LLM, the qualitative criteria elements by searching through a semi-structured data repository; and synthesize, by the fifth LLM, processed search findings into a succinct human-language summary.

The invention provides a state self-checking system for an unhooking robot, and relates to the technical field of automatic machinery, and the system comprises a real-time collection module which collects a real-time working data set of the unhooking robot; the operation evaluation module is used for comprehensively evaluating the operation of the unhooking robot based on the real-time working data set; the fault detection module is used for carrying out point cloud matching and data comparison on the unhooking robot based on the operation state evaluation information, carrying out fault detection according to a comparison result and generating a fault self-detection report; the fault tracing module is used for synchronizing the fault self-checking report to a human-computer interface for fault tracing; and the fault processing module is used for formulating fault processing suggestions and sending the suggestions to the human-computer interface to perform remote control on the unhooking robot. The technical problem that in the prior art, due to insufficient fault detection precision, tiny or complex faults cannot be found in time, and the operation stability of the robot is affected is solved, the fault detection precision and the response speed are improved, and the operation reliability and safety are enhanced.

An integrated development environment (IDE) for designing, programming, and configuring aspects of an industrial automation system uses a generative artificial intelligence (AI) model and associated neural networks to generate portions of an industrial automation project in accordance with functional requirements provided to the industrial IDE system in intuitive formats, such as spoken or written plain language text. The system uses generative AI to translate plain language requests or functional specifications into industrial control code, human-machine interface (HMI) applications, device configuration settings, or other aspects of an industrial control project.

A “one-pedal rocking mode” for extricating an electric vehicle from a stuck condition is implemented by: receiving, via a human-machine interface (HMI) of the electric vehicle, an indication of a user selection to activate the one-pedal rocking mode; operating the electric vehicle in the one-pedal rocking mode responsive to detecting movement of an accelerator pedal of the electric vehicle; controlling at least one electric motor of the electric vehicle to: (i) apply a forward torque to corresponding drive wheels when the accelerator pedal is in a first pedal position that exceeds a forward threshold, (ii) apply a reverse torque to the corresponding drive wheels when the accelerator pedal is in a second pedal position that is less than or equal to the forward threshold; and exiting the one-pedal rocking mode by switching operations of the electric vehicle to a second operating mode responsive to detecting an exit condition.

The invention discloses a pilot manipulation ability evaluation method and system based on multi-modal data and online learning driving. The method comprises the steps of determining an input parameter set, establishing a flight vision time sequence fusion network, and extracting each feature of the parameter set. And completing feature fusion of the multi-modal data through an attention mechanism and global aggregation. And constructing a pilot maneuvering ability evaluation architecture, and generating an offline pilot maneuvering ability evaluation model by designing a loss function based on a comprehensive scoring error and sub-scoring consistency constraint. Flight data and eye movement data streams generated in real time are fragmented and preprocessed by using a sliding window mechanism, a lightweight model based on pruning and parameter quantification technologies is designed for real-time scoring requirements, and feature expression ability in an offline pilot manipulation ability evaluation model is migrated to a lightweight online evaluation model. The method can be used for improving a pilot training scheme, optimizing the man-machine interface design of a cockpit, and improving the efficiency and safety of flight operation.

A device for time-based tracking and cost optimization in construction projects, the device comprising the following: a robust housing suitable for use on construction sites; a processing unit located inside the housing, configured to perform real-time time-stamping, data acquisition and preprocessing tasks; a multimodal sensor unit that is operationally coupled with the processing unit, wherein the sensor unit comprises at least a motion sensor, an RFID reader, sensors for environmental conditions and a vision module with optical character recognition; a real-time clock module that is operationally connected to the processing unit to provide time synchronization for all sensor data streams; a wireless communication module that supports the Wi-Fi, LoRa and LTE protocols and is configured for transmitting time-stamped data to a central project server; a storage module that is operationally coupled with the processing unit to locally buffer time series data of construction activity during offline operation; a housing-mounted, touchscreen-based human-machine interface configured to allow site personnel to enter activity updates and confirm the status of construction tasks; a cost optimization engine running on the central server, the engine being configured to receive time-synchronized sensor data from multiple such devices and dynamically calculate time-cost trade-offs using a predictive planning technique that incorporates the principles of the critical path and the power value; furthermore, the device is configured to be integrated into a digital twin environment of the building under construction in order to provide real-time visualization of progress and to generate suggestions for resource reallocation based on a time-cost-benefit analysis.

An integrated development environment (IDE) for designing, programming, and configuring aspects of an industrial automation system uses a generative artificial intelligence (AI) model and associated neural networks to generate portions of an industrial automation project in accordance with functional requirements provided to the industrial IDE system in intuitive formats, such as spoken or written plain language text. The system uses generative AI to translate plain language requests or functional specifications into industrial control code, human-machine interface (HMI) applications, device configuration settings, or other aspects of an industrial control project.

The invention belongs to the technical field of charging detection, and particularly relates to a charging pile extreme environment test method based on composite stress simulation, a terminal and a storage medium, and the method comprises the steps: inputting an identifier corresponding to a target test scene through a human-computer interaction interface of a test cabin, and executing a query operation based on the input identifier, retrieving a preset parameter combination from a preset scenarized stress library by using the mapping function; in a closed test cabin, environment parameter data are collected in real time through a distributed sensor array and fed back to a central controller, and the central controller drives an execution component to cooperatively regulate and control parameters such as temperature and humidity, so that the environment parameters are stabilized in a preset range; a sequential stress scheme is generated based on a pre-stored dynamic loading algorithm, an execution component is controlled to realize stress superposition or stress alternation, and a charging load is synchronously adjusted to simulate a composite stress effect under an actual working condition; simulation of multi-factor combined stress and dynamic loading is realized, an actual use fault can be found in advance, and the matching degree of a test result and a real environment is remarkably improved.

An automatic tightening apparatus for a suction cup assembly. The apparatus comprises a suction cup assembly tightening apparatus bench and at least one tightening station, the tightening stations including a first automatic tightening station, a second automatic tightening station, a third automatic tightening station, a fourth automatic tightening station, and a fifth automatic tightening station which are sequentially mounted above the suction cup assembly tightening apparatus bench; and a tightening structure and moving module and a human-machine interface are provided above the suction cup assembly tightening apparatus bench. The beneficial effects are: by providing the tightening stations on the suction cup assembly tightening apparatus bench, sequentially arranging the tightening stations, and disposing the tightening structure and moving module horizontally, switching between the tightening stations can be achieved; the suction cup assembly tightening and assembly process is concentrated on the suction cup assembly tightening apparatus bench, the apparatus has a simple structure and a reasonable layout, and the area occupied by the tightening apparatus is reduced.

The invention discloses a building heating, ventilating and air conditioning control method with dynamic energy efficiency optimization, and belongs to the technical field of heating, ventilating and air conditioning control. The method comprises the following steps: step 1, acquiring temperature, humidity, carbon dioxide concentration and personnel distribution data in real time, and performing preliminary data processing through an edge computing node; step 2, realizing accurate prediction of future load change of the building; step 3, generating an optimal control strategy by using a reinforcement learning algorithm, and realizing dynamic optimization control of equipment operation; 4, the compliance of equipment operation, network communication and control instructions is monitored in real time, and a closed-loop dynamic tuning mechanism is constructed to continuously optimize control strategy parameters; step 5, dividing a control task into a group control layer, a region layer and a terminal layer, and establishing communication among the layers through a standardized interface so as to realize accurate transmission and execution of an instruction; and step 6, designing a friendly human-computer interaction interface, displaying a building operation state, energy consumption analysis and a control strategy, and supporting multi-terminal access and remote monitoring.

This invention relates to a pair of intelligent, multimodal smart eyeglasses designed for adaptive vision, biometric ocular monitoring, and predictive emergency response. The system integrates multilayer lenses filled with electrochromic gel and surrounded by elastic structures to enable dynamic focal length modulation in response to user visual behavior. An array of sensors—including visible light, ultraviolet, micro-cameras, infrared emitters, gyroscopes, and ultrasonic transceivers—collects multispectral data to evaluate environmental and physiological parameters. Real-time data processing is performed by an embedded quantum microcontroller, which manages light transmittance, detects eye fatigue, maps ocular surfaces, and identifies hemodynamic abnormalities such as fainting, seizure, or ocular stroke. Advanced imaging techniques, such as ultrasonic ptychography and wave diffraction analysis, enable non-invasive 3D mapping of ocular layers and internal eye motion. The system also supports wireless communication with external platforms including smartphones, vehicles, and brain-machine interfaces, enabling proactive safety interventions. These features work in tandem to support early diagnosis of critical conditions, protect vision, and personalize user experiences through machine learning and adaptive feedback mechanisms.

The invention relates to the field of industrial automation testing, discloses a multifunctional testing tool and method for an EUROMAP interface of an injection molding machine, and achieves the crossing from single function verification to system-level compliance evaluation. A test network is constructed through a controller, and deep compliance verification, coverage data interaction, exception handling and cross-layer response consistency are realized. The test tool integrates the functions of protocol analysis, signal simulation, fault injection and the like, supports dynamic generation of boundary value test scenes and abnormal injection of signal delay, CRC errors and the like, and verifies the time sequence / logic consistency of a protocol instruction and an execution mechanism response through a hardware-level timestamp alignment technology. According to the method, an evaluation report including compliance rating, fault diagnosis and optimization suggestions is automatically generated, the problems of single coverage dimension, insufficient abnormal simulation, cross-layer verification deficiency and the like of a traditional test are solved, the intelligence and standardization level of the injection molding machine interface test is remarkably improved, and the equipment interconnection and intercommunication performance is guaranteed.

Disclosed is a robotic system and method designed for the verification and validation of smart connected Human-Machine Interface (HMI) devices. The robotic system integrates a multi-finger modular robotic module, a haptic module, a finger actuator, vision cameras, vision lights, a finger rotary module, a Cartesian robotic arm, an onboard user interface, and an L-shaped door. The method involves replicating human finger interactions, simulating touch sensations on a device under test (DUT), ensuring continuous and reliable operation, utilizing vision cameras for navigation and verification, optimizing vision with controlled lighting, positioning cameras strategically, executing various tasks with a robotic arm, and facilitating user interaction through an onboard interface.

The invention provides an arbitrary point turn-back method under a train control system route architecture based on communication, which comprises the following steps of: when an arbitrary point turn-back command for a train is received and the train is determined to be in a stable stop state, generating a reverse route containing turnout opening information. And according to the reverse direction head code, generating a starting end signal machine list of which the route needs to be manually solved and sending the starting end signal machine list to an automatic train protection system. And an unlocking request command of the first signal machine in the starting end signal machine list is sent to the area controller, and the access in the starting end signal machine list is unlocked through interactive verification with a train automatic protection system. After it is confirmed that the route corresponding to the first signal machine is successfully unlocked, a turn-back instruction is sent to the automatic train protection system, and meanwhile the automatic train protection system is controlled to execute end changing operation. After the end changing operation is completed, new movement authorization is established to control the train to run, route unlocking in the original direction and passenger prompting are triggered when preset conditions are met, meanwhile, a turn-back mark of any point is updated and displayed on a human-computer interface, and turn-back of any point is achieved.

The invention discloses a multi-language dynamic switching system and method of embedded equipment, and relates to the technical field of human-machine interfaces and embedded systems.The method comprises the steps that source codes in an HMI program are traversed through a character extraction module to extract all character strings; eliminating repeated items, numbering the character strings, and outputting a database file and a replacement array; substituting the serial number into the source code file again by using the substitution array to replace the character string at the corresponding position; outputting the translated database file as a C language source code, compiling the C language source code into a dictionary generation module project, generating an executable file, and outputting the dictionary file to an HMI running directory after the device is started; after the HMI program is started, the dictionary is read into different dictionary arrays according to blocks, and character strings at corresponding positions in the dictionary arrays are extracted after a page sends a request. The method has the advantages of being lower in maintenance difficulty, more efficient in resource utilization, shorter in indexing time, better in system robustness and the like.

The invention relates to an intelligent avoiding control method for machining of a numerical control flanging machine. Comprising the following steps that before machining, a correct machining program is compiled on a human-computer interface according to an actual workpiece drawing or a real object forming process; the numerical control system analyzes a machining program to obtain data necessary for a position avoiding algorithm, machining is started, and in a bending forming rectangular coordinate system, pole coordinate values of a current forming shape are automatically calculated in real time; in the continuous machining process, the target positions and the action time sequence of a feeding shaft, a pressing shaft and an edge folding shaft of the edge folding machine in the next step are correctly adjusted, so that a workpiece and an edge folding machine die are prevented from interfering and colliding, and meanwhile set process actions are completed. According to the control method and the numerical control system, the forming shape and related coordinate data of the workpiece can be obtained in real time, the mutual positions of the workpiece, the machine tool moving part and the mold are adjusted in time through the process control instruction, and interference and collision of the workpiece, the machine tool and the mold are correctly avoided.

An interaction assistance system for a user computing device can operate as an intermediate layer in a human-machine interface to receive user action data that describes user actions with a user computing device, interpret the actions in context, and intelligently instruct or command the host system to perform tasks associated with the user action data. An example interaction assistance system can enable faster and more efficient human-machine interfaces by simplifying a number or complexity of inputs to perform a given task.

An integrated development environment (IDE) for designing, programming, and configuring aspects of an industrial automation system uses a generative artificial intelligence (AI) model and associated neural networks to generate portions of an industrial automation project in accordance with functional requirements provided to the industrial IDE system in intuitive formats, such as spoken or written plain language text. The system uses generative AI to translate plain language requests or functional specifications into industrial control code, human-machine interface (HMI) applications, device configuration settings, or other aspects of an industrial control project.

A method of controlling a human-machine interface having an input device for receiving a user input and a display device for displaying a graphical user interface is disclosed herein. The method includes obtaining monitoring data of at least a portion of a passenger compartment of the vehicle by the input device; processing the monitoring data to obtain hand gesture data from the monitoring data by detecting in the monitoring data a hand gesture performed by a passenger of the vehicle as the user input; determining one of at least two seats in which the passenger is seated who performs the hand gesture for which the hand gesture data are obtained; and controlling the graphical user interface depending on the detected hand gesture and the determined seat.

An electrified vehicle includes a human-machine interface to enable a towed vehicle mode to enable electric pumps to lubricate and / or cool vehicle components and to disable driver assistance features while the electrified vehicle is being towed by another vehicle. The electrified vehicle includes a drivetrain having an electric machine configured to provide propulsive torque to vehicle wheels, a high-voltage traction battery selectively connected to the electric machine, a battery powered fluid pump configured to pump fluid to the drivetrain, and a controller programmed to, after receiving a signal enabling towed vehicle operation of the electrified vehicle, control operation of the battery powered fluid pump while the electrified vehicle is being towed. The controller may disable one or more driver assistance features and alerts such as automatic emergency braking, automatic shifting of the drivetrain, automatic parking brake operation, automatic headlights, automatic steering, cruise control, parking assistance, and external object distance detection.

The invention relates to the technical field of machine tool clamps, in particular to a chuck clamp with an adjustable clamping angle and an angle adjusting method. Comprising a chuck body and movable clamping jaws, the multiple movable clamping jaws which are annularly and evenly distributed are arranged on the chuck body, a first step and a second step are arranged on the end face of each movable clamping jaw, the multiple movable clamping jaws can be close to or away from the center of the chuck body from the end of the chuck body, and an adjustable clamping plate is movably connected to the positions, close to the center of the chuck body, of the movable clamping jaws. The clamping angle of the adjustable clamping plate is adjusted through an angle adjusting system, the angle adjusting system comprises an adjusting bolt, a controller and a human-computer interface, the adjusting bolt is in threaded connection with the adjustable clamping plate and the movable clamping jaw, and the adjusting bolt is driven by a micro motor. According to the invention, a workpiece with a tapered excircle can be effectively clamped, the inclination angle of the chuck fixture can be accurately controlled, the clamping is simpler and more convenient, the clamping time is shortened, and the workpiece processing quality is ensured.

The invention discloses a control method and device based on a PLC system fuzzy algorithm, and belongs to the technical field of water treatment. The device comprises a PLC control module which integrates a fuzzy control algorithm and is used for processing an input signal in real time and generating a control instruction; the target value setting module is used for receiving a liquid level or flow target value set by a user and displaying the liquid level or flow target value through a human-computer interaction interface (HMI); the sensor feedback module is used for acquiring an output actual value of the equipment in real time and transmitting data to the PLC control module; the fuzzy rule base is used for storing fuzzy control rules based on deviation and deviation change rate, and the fuzzy control rules define control logic in an IF-THEN form; the execution control module is used for controlling the running state of the equipment according to the defuzzified control parameters, a preset adjustment interval and a single adjustment amplitude; and the opening degree limiting module is used for setting the maximum opening degree and the minimum opening degree of the equipment, and when the control parameter exceeds the limit, the control parameter is automatically cut off to a boundary value.

The invention discloses a child autism adaptive brain-computer fusion intervention system based on a large model, and the system comprises a multi-modal data collection module which is used for collecting the neural data, behavior data and clinical scale data of a user; the feature extraction and user portrait construction module is used for performing feature extraction and subtype recognition on the multi-modal data to generate a personalized portrait; the multi-defect intervention normal form generation module is used for dynamically generating a personalized intervention task on the basis of a large language model in combination with the personalized portrait and the historical state of the task; the self-adaptive regulation and control module is used for dynamically adjusting an intervention strategy and task difficulty according to the feedback of the real-time neural data and the dynamic change of the behavior data; the user interaction interface module is used for providing a multi-modal human-computer interaction interface; and the effect evaluation and long-term tracking module is used for generating an individual and group intervention effect report. By utilizing the system and the method, accurate, personalized, multi-dimensional and long-term intervention on the autism children can be realized.

The invention provides an epitaxial wafer edge morphology compensation type wafer double-sided polishing device and method, and belongs to the technical field of semiconductor wafer ultra-precision machining. The polishing main machine comprises an upper fixed disc, a lower fixed disc and a wafer driving mechanism; the pressure loading system is used for applying adjustable pressure to the fixed disc; the polishing solution supply system is used for conveying a flow-adjustable polishing solution to the processing interface; the central control unit is in communication connection with the two systems and executes edge morphology compensation control logic, specifically, the machining pressure is adjusted in a segmented mode, and the flow of the polishing solution and the pressure are subjected to coupling change. According to the method, the atomic level flatness of the wafer surface is ensured, the edge morphology is accurately controlled, the edge thickening of the epitaxial layer is perfectly counteracted, and the photoetching yield of high-end chip manufacturing is remarkably improved.