802 results about "Machine interface" patented technology

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.

The invention discloses a human-computer interface application system and method for an industrial control system, electronic equipment, a medium and a program product. The system comprises an HMI module, an AI interaction entrance is embedded in the HMI module, and a bidirectional channel between the HMI module and the AI module is constructed based on an open interface of the HMI module; the HMI module is used for receiving character or voice question description from a user based on the AI interaction entrance and providing the question description to the AI module; receiving intelligent answers or suggestions returned by the AI module, and presenting the intelligent answers or suggestions through the AI interaction entrance; the AI module is used for receiving the question description, calling an AI model based on the question description, receiving intelligent answers or suggestions from the AI model, and returning the intelligent answers or suggestions to the HMI module; wherein the AI model is injected into the industrial knowledge base through fine tuning or question word engineering. According to the technical scheme, dependence on experience of operators can be reduced.

A human-machine interface (HMI) development system leverages a generative AI model to assist in development of HMI projects in accordance with specified functional requirements, which can be provided to the development system as intuitive natural language spoken or written text. The system can formulate and implement HMI project edits during design time based on analysis of this natural language design input. After the HMI project is deployed as a runtime application, the system can also receive and process natural language requests to modify the runtime HMI in accordance with described modification criteria.

The invention discloses a tungsten filament copper plating production line control system and method based on digital twinning, and relates to the technical field of photovoltaic material preparation and automatic control. The acquisition module is used for acquiring electrochemical parameters, hydrodynamic parameters, motion state parameters and visual morphological parameters of each line position in real time at millisecond-level high frequency; the real-time digital twinning engine is used for constructing a virtual twinning body comprising a physical geometric model, a multi-physics field coupling model, a real-time quality prediction model and a data driving compensation model; and the man-machine interaction and decision support interface is used for displaying a virtual-real mapping picture, a quality prediction curve, alarm information and an operation instruction recommended by the system in real time. The traditional'black box 'electrochemical process is converted into a visual three-dimensional scene through the digital twin engine, an operator can synchronously observe the plating growth state, anode consumption and bubble distribution of sixteen tungsten filaments on a human-computer interface, and the anomaly positioning time is remarkably shortened.

The invention discloses a mooring type low-altitude monitoring countering unmanned system based on deep learning target recognition. The mooring type low-altitude monitoring countering unmanned system comprises a mooring unmanned aerial vehicle platform module, a multi-source sensing and data fusion module, a deep learning target recognition and classification module, a self-adaptive countering decision and execution module, a dynamic tracking and collaborative aiming module and a ground command and control module. The mooring unmanned aerial vehicle platform module forms a stable air monitoring and countering base point; the multi-source sensing and data fusion module provides high-quality input for system identification; the deep learning target recognition and classification module recognizes and predicts a target behavior through deep learning; the self-adaptive countering decision and execution module realizes precise countering; the dynamic tracking and collaborative aiming module applies counter energy to a dynamic target; the ground command and control module provides a human-computer interaction interface and displays global information. The low-altitude active defense system has the advantages that technologies such as multi-source fusion perception, deep learning AI recognition and self-adaptive precise countering are deeply fused, and the low-altitude active defense system is formed.

A video compression system and method integrates geometric compression with cognitive understanding through a persistent cognitive machine interface. The system employs a hierarchical encoder generating multi-scale compressed representations organized within a Lorentzian manifold structure. A geometric processor maintains temporal causality through time-like geodesics and light cone constraints while organizing video content according to semantic relationships. A cognitive interface creates thought bundles as navigable submanifolds, enabling semantic access to compressed content beyond traditional temporal indexing. The system supports real-time processing through progressive refinement, streaming coarse representations immediately while adding detail in parallel. Symbolic anchors mark semantically significant points, enabling concept-based navigation through compressed video. Federated learning capabilities allow distributed systems to share geometric patterns while preserving content privacy. The architecture enables improved compression ratios while maintaining both temporal causality and semantic navigability, transforming video from sequential media into an intelligently accessible information space.

A human-machine interface (HMI) development system leverages a generative AI model to assist in development of HMI projects in accordance with specified functional requirements, which can be provided to the development system as intuitive natural language spoken or written text. The system can formulate and implement HMI project edits during design time based on analysis of this natural language design input. After the HMI project is deployed as a runtime application, the system can also receive and process natural language requests to modify the runtime HMI in accordance with described modification criteria.

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 provides a dynamic human-machine interface generation system for a power conversion device, and the system comprises a configuration file which is used for defining interface elements, attributes and layout rules of an HMI in a structured language; the configuration analysis module is used for reading and analyzing the configuration file and converting the configuration file into a structured object model containing control types, attributes and layout information; the control factory module is connected to the configuration analysis module and is used for dynamically creating a corresponding control instance according to the control type information in the structured object model and injecting the analyzed attribute information into the control instance; the layout engine module is connected to the control factory module and is used for automatically arranging and positioning the control instances according to the layout information in the structured object model; and the rendering output module is connected to the layout engine module and is used for rendering and outputting the interface of which the layout is completed to display equipment. According to the method, diversified HMIs are dynamically generated according to different requirements, and the purpose of improving code quality and development efficiency is achieved.

A driver-in-loop simulator, comprising a vehicle seat, a driver view display, a human-machine interface (HMI) display, an input device and a controller in communication with the driver view display, the HMI display, and the input device. The controller includes a processor and a non-transitory computer readable medium in communication with the processor. The controller is programmed to detect a transfer of control (TOC) event, display a notification on the HMI display that the TOC event has occurred in response to detecting the TOC event and detect an input provided by a user of the driver-in-loop simulator through the input device, wherein the input is indicative that the user took control of a simulation experienced through the driver-in-loop simulator.

A vehicle including a transceiver, a human-machine interface (HMI) and a processor is disclosed. The transceiver may be configured to receive information associated with a pick-up point of a user and a real-time geolocation of a user device associated with the user. The processor may be configured to obtain the information associated with the pick-up point from the transceiver, and determine that a predefined condition may be met based on the information associated with the pick-up point. The processor may further obtain the real-time geolocation responsive to determining that the predefined condition may be met. The processor may then output the real-time geolocation on the HMI.

The invention discloses a motor module, an electronic derailleur and a manpower vehicle. The motor module comprises a shell, a circuit board and a man-machine interface structure. The circuit board is arranged in the shell; the human-computer interface structure is arranged on the shell and is electrically connected with the circuit board, and the human-computer interface structure comprises at least one of an indicating lamp and an operation key; the plurality of first directions are defined as directions perpendicular to the thickness direction of the circuit board, and at least one of the indicator light and the operation key overlaps with the circuit board when viewed in at least one of the plurality of first directions. According to the motor module, at least one of the indicating lamp and the operation key is arranged to be overlapped with the circuit board during lateral observation, so that the optimized utilization of the internal space of the motor module is realized; because the indicating lamp or the operation key occupies the existing space of the circuit board except the thickness direction and is not completely and independently arranged in the side direction of the circuit board, the overall size of the motor module in the direction of the board surface of the circuit board is effectively controlled, and the overall size of the motor module is reduced.

A human-machine interface (HMI) development and runtime system leverages generative artificial intelligence (AI) to create HMI dashboards or graphical interfaces without the need for manual coding based on natural language prompts submitted by the user, which specify the information the user wishes to see. In one or more embodiments, the system can support industry-specific prompt engineering services that assist a user in generating a customized HMI dashboard that satisfies specified criteria using natural language prompts that describe functional and visual requirements of the dashboard. The system can make use of a generative AI model and associated neural networks to generate suitable dashboards in accordance with functional requirements provided to the system as intuitive natural language inputs (e.g., spoken or written natural language text).

The invention relates to the technical field of wireless charging assembly line automatic control, in particular to an intelligent cooperative control system for a wireless charging assembly line, and adopts the technical scheme that a central scheduling module and a beat cooperative algorithm unit can construct a dynamic state model based on global real-time data; a digital twin sub-module is introduced to perform simulation deduction verification on an instruction in a virtual environment, a beat redistribution strategy can automatically adjust a material flow when a fault occurs, and a visual positioning and compensation module can identify a material position and attitude offset in real time and generate compensation data. The man-machine interaction interface can visualize the whole line state, prediction information and alarm information in real time, the historical database and optimization learning unit can store data and iteratively optimize algorithm parameters, uncertain interference is analyzed through Monte Carlo simulation, and a Pareto optimal solution set is solved through an NSGA-II algorithm. The production takt of the three stages of feeding, dispensing assembling and baking discharging is dynamically matched, and dynamic takt synchronization and productivity optimization of the whole production line are achieved.

The invention discloses a rapid visual measurement system and method for the boundary dimension of a supporting cylinder, and relates to the technical field of visual measurement, the measurement system comprises a tool positioning assembly, a visual measurement assembly and an image processing assembly, the tool positioning assembly comprises a positioning platform, a first support and a second support which are connected, the first bracket and the second bracket are respectively positioned above and on the side of the positioning platform; the vision measurement assembly comprises a first camera and a second camera, and the first camera and the second camera are arranged on the first support and the second support respectively; the image processing assembly comprises a main controller, and a sub-pixel edge extraction module, a size calculation module, a data management module and a human-computer interaction interface which are connected with the main controller; and the main controller is connected with the first camera and the second camera. According to the invention, the image processing assembly can automatically calculate and record the measurement result of the support cylinder through the sub-pixel edge extraction module and the size calculation module, and generates a report, thereby simplifying the operation process, and improving the measurement efficiency and precision.

The invention relates to the technical field of industrial equipment control, in particular to a non-intrusive screen monitoring image-text dynamic recognition system and method, the system comprises a region configuration module, a visual perception module, an intelligent decision module and a control execution module, and based on the system, the recognition method comprises the steps of determining a to-be-detected screen region in response to a configuration operation of a user; and identifying the preprocessed image through a screen self-capture technology running in a host operating system, outputting an instruction when an identification result is abnormal, and controlling the industrial equipment to start and stop. Equipment state information is obtained through a non-intrusive mode of a visual level, a non-intrusive relay series mechanism of a control level is adopted, and state monitoring and closed-loop control of an old industrial equipment man-machine interface can be achieved on the premise that hardware is not transformed and an internal communication protocol of the equipment is not accessed. The industrial problems of'interface false alarm 'and'out-of-control execution' are solved, and the method has the advantages of high compatibility, low cost and fast deployment.

The invention provides a membrane process denitration automatic control system and method based on AI prediction. The membrane process denitration automatic control system comprises a sensor unit, an execution mechanism unit, a control and monitoring unit and an AI prediction hardware unit. The control and monitoring unit comprises a PLC (Programmable Logic Controller), a man-machine touch screen and an upper computer; the AI prediction hardware unit comprises an AI edge computing node, a data storage module and a communication module; the sensor unit is connected with the PLC; the execution mechanism unit is connected with the PLC; the PLC is respectively communicated with the man-machine touch screen and the upper computer; the AI edge computing node is bidirectionally connected with the PLC through the communication module; the AI edge computing node obtains real-time operation data from the PLC controller, stores the real-time operation data in the data storage module, generates a prediction result and a control instruction through model reasoning, and sends the prediction result and the control instruction to the PLC controller for execution. The problems that an existing membrane method denitration system is complex in operation, low in parameter control precision, lack of safety interlocking and lagging in membrane cleaning are solved.

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.

There is disclosed a method of controlling a helicopter (1) comprising: at least one thermal engine (11); at least one rotor (3), which is operatively connectable to thermal engine (11) to be drive, in use, at a set rotational speed (ωSET); an emergency system (40) comprising: at least one electric motor (41), which is operatively connectable to rotor (3) and an electrical power source (42), which is electrically connected to electric motor (41); the method comprises the steps of i) operatively connecting thermal engine (11) to rotor (3) and keeping electric motor (41) disconnected by rotor (3) or idle, in a normal operating condition of thermal engine (11); ii) detecting if thermal engine (11) is in at least partial failure condition; iii) accelerating electric motor (41) up to when said current rotational speed (ω) equals set value (ωSET), in case of at least partial failure of said thermal engine (11); step iii) comprises the steps of iv) sensing a plurality of parameters (ω, ωERR, ϕ, ϕERR, IIT, ττ / S, τMGB, Powerτ / S, PowerMGB) of thermal engine (11) and rotor (3); and v) identifying an at least partial failure of thermal engine (11), on the basis of parameters (ω, ωERR, ϕ, ϕERR, IIT, τ, P.

The invention discloses a method and a system for testing release intention response characteristics in a man-machine handover task of a collaborative robot, and belongs to the technical field of robot performance test and evaluation. Comprising the steps of controlling an end effector of a tested robot to clamp a standard test load and keeping the standard test load at a preset position; external traction force monotonically changing along with time is applied to the load through an external traction device; an original time domain signal of external traction force is collected in real time, and a driving current signal of a tail end joint of the robot is synchronously collected; filtering the collected signals, and calculating intention trigger impulse; based on the time difference of the traction force peak moment, the driving current sudden change moment and the load physical separation moment, the cascade lag time is solved; and based on the intention trigger impulse and the cascade lag time, generating a quantitative index representing the dynamic release performance of the robot. According to the method, the problem that the existing test only pays attention to the static force threshold and ignores the dynamic process characteristics is solved, and objective and quantitative evaluation of the robot release intention response characteristics is realized.

The invention discloses a steel rail grinding wagon grinding control method and system, and belongs to the technical field of railway maintenance automation control. In order to solve the problems that an existing medium-sized steel rail grinding wagon is inaccurate in initial grinding positioning, prone to generating blue belts, poor in grinding angle fixing adaptability, large in multi-motor starting current impact and lack of effective emergency processing capacity, the method comprises the steps that an operation instruction and grinding parameters are received through a man-machine interaction interface; target positions of the polishing mechanism in all the running axial directions are calculated through a preset mathematical model; the grinding mechanism is controlled to move to the target position, and the grinding mechanism is started to start grinding operation; in the walking process of the grinding mechanism, synchronous start-stop and lifting control is conducted on the steel rail grinding unit according to the advancing distance fed back by the wheel set encoder in real time; and the output torque of the grinding motor and the traveling speed of the grinding wagon are monitored in real time, the position of the grinding mechanism is dynamically adjusted according to the monitoring result, and the traveling power of the grinding wagon is dynamically adjusted. The device is used for polishing steel rails of railways and subways.

Systems and techniques are described herein for a human-machine interface. For instance, an apparatus for a human-machine interface is provided. The apparatus may include a body and a joystick coupled to the body, the joystick comprising: a planar spring configured to bias the joystick to a neutral position; a detectable component coupled to the planar spring; and a sensor configured to detect a position of the detectable component.

The application discloses an ultrasonic intelligent cleaning equipment and a control method thereof. The ultrasonic intelligent cleaning equipment comprises a rack and a structure module, a water and gas supply and temperature control module, a circulation and filtration module, a cleaning and execution module, a drainage module and a control and interaction module. The application is characterized in that a multi-parameter detection unit comprising an electric conductivity probe, a turbidity probe and a granularity probe is integrated, and cooperates with a controller to realize intelligent closed-loop control of the cleaning process. Through a man-machine interface, a user can select multiple modes such as ultrasonic cleaning, mixed cleaning and self-cleaning. The control method automatically judges the cleaning end point based on comparison of real-time monitored water quality data and a preset threshold value, and can perform safety protection according to the number of cycles. The application effectively overcomes problems of traditional cleaning machines, such as dependence on manual experience, unstable cleaning effect, serious waste of water resources and energy and the like, and significantly improves the cleaning efficiency, the degree of automation and the cleaning quality.

This invention relates to the field of electric drive technology, specifically disclosing an electric drive system and method for tracked special vehicles based on a medium-voltage DC bus. The system includes a feature construction module, a mode matching module, a power calculation module, a power control module, and an information interaction module. It performs trend analysis on the real-time operating status parameter set of the tracked special vehicle to obtain a working condition trend vector, integrates the current parameter values ​​with the trend vector, and constructs a multi-dimensional working condition feature matrix. This matrix is ​​then matched with preset drive mode trigger conditions to determine the target drive mode. The real-time available power is calculated and compared with the rated power requirement of the target drive mode. Based on the comparison result, drive motor control commands are generated to achieve power output under the target drive mode. Simultaneously, the current working condition, target drive mode, and real-time bus status information are sent to a human-machine interface for visual display. This invention can improve the electric drive efficiency of tracked special vehicles.

In the kinetic energy recycling system, a power generation device is driven by a driving device which is in turn powered by a power storage component. A coupling component synchronizes first and second eccentric shafts of the driving device. With the design of the first and second eccentric shafts, gravity and inertia assist in the rotation of the first and second eccentric shafts, reducing the amount of power required from the driving device to operate the power generation device. An acceleration mechanism further improves the power generation efficiency of the power generation device. The generated electrical energy is delivered to a power output component through a conversion device, allowing the user to select the output voltage via the human-machine interface. The energy can be fed back to the power storage component, reducing energy loss, lowering operational noise, and enabling energy recycling for reuse.

This application discloses an intelligent friction coefficient measurement system, method, electronic device, and storage medium, relating to the field of friction coefficient measurement. The system includes an intelligent traction trolley, a detection block of known weight, a traction rope, a tension sensor, and an image acquisition device. The intelligent traction trolley includes a vehicle body, a main control module, a drive motor, and a human-machine interface module. The intelligent traction trolley moves at a constant speed via the drive motor, causing the detection block to move synchronously. The tension sensor measures the tension in real time, and the image acquisition device acquires images of the target to determine the spatial attitude parameters of the traction rope. The main control module calculates the actual effective tension based on the spatial attitude parameters and the tension signal, and then calculates and displays the maximum static and dynamic friction coefficients in conjunction with the weight of the detection block. This solves the problems of insufficient measurement accuracy, poor operational stability, and errors caused by the attitude of the traction rope in existing technologies, achieving automated, high-precision intelligent measurement.

This invention relates to a self-service reporting and information collection method and system for pressure gauge metrological verification. The invention includes receiving a reporting instruction initiated by the submitter and receiving the reporting service type information; placing the pressure gauge to be tested face down on a glass plate; detecting the placement status of the pressure gauge; photographing the pressure gauge; parsing the image to obtain a recognition result, transmitting the recognition result to a host computer for storage; after photographing, the host computer outputs voice and text prompts to guide the submitter to confirm the image; repeating the above placement, detection, photographing, recognition, and box placement steps until all pressure gauges to be tested have been reported; after the submitter confirms the reporting, the human-machine interface pops up a signature page, receives the submitter's signature information, and controls the printer to print the order form. This invention significantly improves work efficiency.

Systems and methods of automated task planning in a remotely operated device system are provided. The method includes storing a domain model for modeling a domain of the remotely operated device system and a task library including a plurality of subgoals each mapped to a corresponding subtask or set of subtasks that achieves the subgoal, the task library being filterable by subgoal, and receiving, through a human-machine interface, a user input including at least one goal and initial conditions. The method further includes performing, with a task planner module: automatically decomposing the at least one goal into subgoals; querying the task library for matching subtasks using the subgoals; generating a sequence of actions using the initial conditions, the domain model, and the matching subtasks returned by the task library; returning the sequence of actions as a task to the human-machine interface; and displaying the task in the human-machine interface.

A system includes a computer having a processor and a memory storing instructions executable by the processor to: receive at least one discrete input within a predetermined time period from a human-machine interface while the vehicle is at a standstill; and in response to the at least one discrete input, move the vehicle an incremental distance and returning the vehicle to a standstill.

The application provides a servo motor temperature correction coefficient optimization and multi-stage early warning system and method. It includes: a data acquisition module for obtaining a first temperature value and a second temperature value; a temperature correction module for calculating a temperature difference value according to a third temperature value and the second temperature value; a correction coefficient optimization module for online optimization of the temperature correction coefficient in the temperature correction model, and iterative updating to obtain a target temperature correction coefficient; an early warning determination module for dividing the current working state of the servo motor into one of a normal state and at least three early warning states, and generating early warning level information corresponding to the early warning state; an early warning output module for outputting corresponding early warning signals and control instructions to the upper control device and / or human-machine interface according to the early warning level information, so as to implement hierarchical early warning control on the operation of the servo motor. The application can improve the temperature correction precision, realize dynamic optimization of the correction coefficient, and improve the servo motor temperature early warning precision.