698 results about "Human–machine interface" patented technology

The invention discloses a preparation method of a flexible electromagnetic shielding type force sensor based on a coaxial structure, and belongs to the field of flexible electronics and intelligent sensors. According to the method, a coaxial wet spinning process is adopted, a core-sheath structure conductive fiber is constructed, a core layer is made of a multi-walled carbon nanotube (CNT) and thermoplastic polyurethane (TPU) composite material, and a sheath layer is made of a nickel-coated carbon nanotube (Ni-CNT) and TPU composite material. By regulating and controlling the proportion of the core sheath, the construction of the gradient conductive network is realized, and the sensing sensitivity, the electromagnetic shielding performance and the mechanical flexibility are improved. The obtained Ni-CNT-coated CNT fiber is made into fabric and integrated in a sensing glove, and multi-finger bending detection and wireless man-machine interaction control are achieved. The sensor has the advantages of high sensitivity, wide strain detection range and excellent electromagnetic shielding effectiveness, is suitable for the fields of intelligent wearing, anti-interference man-machine interface and fire-fighting equipment, and can also be expanded to complex application scenes such as aerospace teleoperation.

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 method for adjusting a human machine interface (HMI) element location in a commercial vehicle display includes displaying, on an electronic display of a commercial vehicle, images from a camera secured to the commercial vehicle that depict a trailer of the commercial vehicle and its surrounding environment; determining a reference location of a reference point of the trailer in the images; superimposing an HMI element in the images on the electronic display at an HMI location determined relative to the reference location; and detecting that the reference location has changed in the images, and adjusting the HMI location in response thereto. A camera monitoring system (CMS) for a vehicle and a method for a camera mirror system are also disclosed.

The invention discloses a hydrogen refueling station compressor bypass current-limiting pressure-stabilizing pressurization system and method, and belongs to the technical field of hydrogen energy storage and filling. The technical problems that when an existing hydrogen refueling station switches hydrogen storage bottle sets of different pressure grades, due to the fact that the pressure of an outlet of a compressor suddenly changes instantly, equipment operation is unstable, the service life is shortened, the operation efficiency is low, and equipment abrasion is serious are solved. The bypass pipeline is arranged between the compressor outlet pipeline and the multi-stage hydrogen storage bottle group, so that a temporary flow limiting system is constructed; the intelligent controller adopts a PLC (Programmable Logic Controller), a DCS (Distributed Control System) or a special controller, is equipped with a human-computer interface, and accurately and automatically regulates and controls the opening and closing of valves on the main hydrogen supply pipeline and the bypass pipeline, so that the outlet pressure of the compressor is stably transited during switching, and the automatic control and operation convenience of the system are realized. Pressure fluctuation can be greatly inhibited, stable operation of the compressor is guaranteed, the service life of the compressor is prolonged, the equipment failure rate can be reduced, the overall operation efficiency of the hydrogen refueling station is improved, and stable development of the hydrogen energy industry is promoted.

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 secure cloud workstation and a resource scheduling method suitable for a high-altitude weak network environment, and the secure cloud workstation comprises a virtualization management platform which is used for carrying out the virtualization processing of core computing components of a plurality of servers contained in a back-end server cluster, and forms a plurality of virtual hosts; the front-end thin client only reserves display and input functions, establishes connection with the virtualization management platform, receives a virtual host human-computer interface pushed by any virtual host in the virtualization computing resource pool, and feeds back a user operation instruction to the virtualization management platform; the transmission protocol optimization module is used for integrating graph, input and audio data transmission channels, monitoring the network bandwidth and the delay state of a high-altitude area in real time by adopting a self-adaptive compression algorithm, and dynamically adjusting the transmission image quality and the frame rate of a virtual host human-computer interface; and the resource scheduling module is used for automatically allocating computing resources to the plurality of virtual hosts based on the load data of the virtualization management platform so as to realize cross-server load balancing.

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 provides a 3D visual mechanical gripper which is suitable for sorting and gripping disordered supplied workpieces such as motor rotors. The gripper comprises a three-dimensional sensing unit, a reconstruction and recognition unit, a gripping feasibility scoring unit, a differential motion inner supporting / outer clamping integrated end effector, a hand-eye calibration and online compensation unit, a motion planning and monitoring unit and a three-dimensional visual human-computer interface. A high-quality point cloud is obtained, instance segmentation and attitude estimation are utilized to establish a grabbing reference coordinate system, a grabbing feasibility scoring field is constructed based on a friction cone, an anti-torque, a centroid force arm and uncertainty, probabilistic optimization of a grabbing pose is achieved, and an end effector adopts a differential mechanism to achieve rapid switching between an outer clamping mode and an inner supporting mode. The problem that an existing visual mechanical gripper cannot meet the disordered gripping requirement of complex workpieces such as motor rotors is solved.

The invention belongs to the technical field of industrial combustion safety control, and provides a double-channel industrial furnace gas combustion safety interlocking control system which comprises a gas / air flow ratio dynamic monitoring module, a flue CO concentration online detection module, a double-channel data conflict arbitration processor and a visual human-computer interface. Aiming at the prominent problems of incomplete combustion of coal gas, carbon deposition, detonation risk and the like which are easy to occur under the working condition of accelerated temperature rise, the system integrates visual double-insurance safety control of dynamic calculation of a flow ratio and real-time analysis of tail gas components, and all-directional safety protection in the combustion process is realized through a multi-parameter cooperative monitoring and intelligent interlocking mechanism; the detonation risk is obviously reduced; meanwhile, the air-fuel ratio fluctuation is accurately controlled within the range of + / -5%, and the carbon deposition phenomenon is effectively reduced; and remarkable economic benefits are created while reliable operation of equipment is guaranteed.

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 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 embodiment of the invention relates to the technical field of intelligent agents, and discloses a data acquisition method and device of an intelligent agent, a medium, equipment and a product. In the method, a human-computer interface used for data acquisition of the body agent is provided, and the human-computer interface comprises a plurality of body monitoring areas, a task monitoring area and a body control area; displaying image data corresponding to the plurality of cameras through the plurality of body monitoring areas; the cameras are respectively arranged at different parts of the intelligent body; displaying information related to the target acquisition task through the task monitoring area; and in response to a body control instruction received by the body control area for the body agent, controlling the body agent to execute an operation corresponding to the body control instruction. According to the embodiment of the invention, the data acquisition method for the body agent is realized, the target acquisition task and the body agent are monitored and / or controlled on the human-computer interface, the frequency of switching the human-computer interface is reduced, and the data acquisition efficiency is improved.

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.

The invention discloses a packaging hose AI quality detection system and method. The packaging hose AI quality detection system comprises an image control module, a human-computer interface, a server, a first image acquisition unit, a second image acquisition unit, a sensor and a controller, wherein the image control module is configured to be used for controlling the first image acquisition unit and the second image acquisition unit to work and collecting, processing and detecting image data; the human-computer interface is configured to be used for human-computer interaction; the server is configured to be used for building, training and verifying a deep learning model; the first image acquisition unit is configured to be used for acquiring side image information of the packaging hose; the second image acquisition unit is configured to be used for acquiring image information of the top end of the packaging hose; the sensor is configured to be used for detecting the position information of the packaging hose as a trigger signal of the first image acquisition unit and the second image acquisition unit; and the controller is configured to be used for receiving and transmitting the control signal.

An autonomous drilling system for well construction activities comprises a data acquisition system collecting real-time data from sensors, including flowrate, pressure, and cuttings sensors. A digital twin framework simulates drilling operations and outputs predictions based on the collected data. An AI agent module analyzes the system by aggregating predictions, real-time data, and historical data to determine well health and recommend parameter adjustments. An integrated rig control system automates drilling operations based on these recommendations. A human-machine interface provides manual control options. The system includes flowrate sensors with flow meters, downhole sensors, and multiple digital twins simulating specific aspects of wellbore construction. The AI module can employ deep learning or reinforcement learning techniques. Cuttings sensors analyze volume to assess wellbore stability and hole cleaning efficiency. The system can transition between open and closed loop drilling operations based on AI recommendations.

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 discloses an automatic detection method for dynamic balance parameters of an automobile hub, and the method comprises the steps: employing a piezoelectric ceramic array self-sensing main shaft technology, enabling detection reference establishment and signal collection to be integrated in a main shaft body, and carrying out the fusion of a hub installation process and a detection reference establishment process; synchronous acquisition of multi-dimensional vibration signals is carried out; an original mixed signal is decomposed into modal components in a self-adaptive mode, and environmental vibration interference is eliminated; a FastICA-RLS hybrid algorithm is adopted to separate an independent source signal from the preliminarily purified signal, and non-stationary interference is tracked and compensated in real time; constructing a flexible rotor model based on modal parameter identification, and calculating an unbalance amount; self-adaptive Kalman filtering error compensation and prediction are carried out, and the amount of unbalance after compensation is output; and an optimal counterweight scheme is automatically calculated based on the compensated unbalance amount, and visual display and guidance are performed through a human-computer interface, so that the detection precision and the detection efficiency are improved.

The embodiment of the invention provides a method for adjusting a human-computer interface in a vehicle, the vehicle and a computer readable storage medium. The method comprises the steps that a crisis perception test is conducted on a test object based on a preset test device, a first adjustment strategy is obtained, the preset test device comprises an electroencephalogram instrument, an eye movement instrument and an electrocardio instrument, and the first adjustment strategy is used for adjusting the opportunity that a human-computer interface of a vehicle transmits dangerous driving scene information to a driver; driving distraction tests are conducted on the test object based on a preset test device, a second adjustment strategy is obtained, and the driving distraction tests comprise a visual distraction test, an auditory distraction test, a cognitive distraction test and a manual distraction test; determining a human-computer interface adjustment strategy based on the first adjustment strategy and the second adjustment strategy; and adjusting the human-computer interface based on the human-computer interface adjustment strategy. According to the method and the device, the technical problems that the safety assessment of the HMI design is not accurate enough and the HMI design still has potential safety hazards in related technologies are solved.

The invention discloses an intelligent control method for equipment for chemical production, and relates to the technical field of intelligent control, and the method comprises the following steps: collecting process variable data, an automatic control instruction, an operator intervention behavior and equipment health state information; based on the collected process variable data, constructing a causal association relationship model between the operator intervention behavior and the equipment health state; identifying abnormal points by combining sliding time window prediction and a dynamic tolerance threshold value, and removing polluted data; constructing a multivariable causal diagram based on process variable deviation, and distinguishing control error paths caused by equipment degradation and intervention; deploying a multi-version control strategy model in the control system, and evaluating and screening an optimal strategy; an operator is guided to record the intervention purpose and mode on a human-computer interface; continuously evaluating the performance of the control strategy, and triggering a model retraining and replacing mechanism; the control logic is always close to the real state.

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.

A system is used to perform systems modeling related to at least agriculture. The system can include a memory unit that stores executable instructions wherein the instructions can be used to perform systems modeling. The system can obtain, store, and use historical data related to agricultural scenarios. The system can further generate and / or display a human machine interface wherein a user can enter input to tailor the input data based on the preferences and / or assumptions of the user. The system is further configured to perform a simulation based on the user-defined input data. The system can then provide and / or display the results of the simulation as output data The output data can include predicted and / or projected outcomes based on the input data wherein said outcomes can include agricultural information, market information, environmental information, and / or farm management information. The disclosure allows for accurate modeling of complex systems.

A method for a driver assistant image customization of vehicle-related images, a data processing circuit, a computer program, a computer-readable medium, and a vehicle, can include, with at least one sensing device of the vehicle, obtaining an input image to be customized. With at least one human-machine-interface of the vehicle or connected thereto an input determining at least one customization scheme to be performed is received. Using at least one data processing circuit of the vehicle applying artificial intelligence the input image is transformed according to the at least one customization scheme into a transformed output image. With at least one smart mirror of the vehicle or a mobile device connected to the at least one data processing circuit the transformed output image is outputted. The at least one customization scheme includes a plurality of different types of adaptation modes.

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.

A method for detecting anomalies during operation of an asset. The method includes collecting data associated with operation of the asset. The data includes operating parameters of the asset and environmental parameters around the asset. The method also includes selecting a monitoring parameter and one or more classification parameters. The method also includes selecting an anomaly function for the monitoring parameters given one or more classification parameters. Given one or more classification parameters, an anomaly function is determined based on a respective conditional probability distribution of the monitored parameters. The method further includes determining an anomaly threshold for the monitoring parameter based on the anomaly function and the one or more classification parameters. The method also includes generating an alarm event when the monitored parameter exceeds the anomaly threshold. The method further includes actuating a human-machine interface to output an alarm based on comparing the score derived from the alarm event to an alarm threshold.

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.

The invention discloses a central cold and hot water intelligent collaborative centralized control energy efficiency management system which comprises a central cold and hot water system, a central air conditioning system, an AI cloud energy efficiency cloud platform, a central CPU processor, a 5G communication module, an efficient host, an intelligent human-computer interface, a cold water output permanent magnet variable frequency water pump and a hot water output permanent magnet variable frequency water pump. The central cold and hot water system comprises a cold water heat preservation water tank and a hot water heat preservation water tank, the cold water heat preservation water tank is provided with a cold water unit and a cold water output pipeline, and the hot water heat preservation water tank is provided with a hot water unit and a hot water output pipeline. The efficient host is used for executing the electricity price strategy, responding to electricity price fluctuation and controlling the water chilling unit and the hot water unit. The intelligent cooperative centralized control energy efficiency management can be realized, the output power of the cold and hot water sources can be reversely adjusted based on the tail end load prediction, the cold and hot source output is matched with the tail end demand, the peak-valley arbitrage can be realized by combining the electricity price prediction curve and the temperature energy storage technology, and the operation cost is reduced.

The application discloses a 360-degree pendulum swing control system, which is applied to amusement equipment including a swing arm, a support frame, a cabin and a counterweight arm and specifically comprises an execution motor, a driver, an encoder and a controller, wherein the execution motor is connected with the swing arm in linkage to control swing size and direction of the swing arm; the driver is in communication connection with the execution motor; the encoder is installed on the swing arm; the controller is in communication connection with the encoder and the driver, is used for collecting feedback signals of the encoder, calculating speed and angle of the swing arm in combination with preset parameters in the controller and adjusting driving force size, direction, ramp time and starting and ending time of the driving force output by the driver according to the calculation result; and the man-machine interface is in man-machine interaction with external staff and is also in communication connection with the controller and is used for changing the preset parameters in the controller. The 360-degree pendulum swing control system avoids the problem that only the driver can control the torque output size of the execution motor and the problem that the switching and acceleration and deceleration are not smooth enough.