1305 results about "Machine interface" patented technology

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.

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.

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.

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.

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 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.

The invention discloses a printer USB connection method, system and device and a storage medium, relates to the technical field of computers, and aims to solve the problems of compatibility and high cost caused by the fact that a specific drive program needs to be installed when a traditional printer is connected through a universal serial bus USB. The method comprises the following steps: configuring a USB interface of a printer into an HID device which can be identified by an operating system by setting a USB device descriptor, a USB interface descriptor, a man-machine interface device HID descriptor and an end point descriptor, and generating HID configuration information; based on the HID configuration information, non-driven connection between the HID equipment and the computer is established, and a communication ready state is generated; based on a communication ready state and an HID protocol framework, a control command and printing data are distinguished through a user-defined data structure, and data interaction between a printer and a computer is achieved.

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.

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 is applicable to the technical field of medical instruments, and provides a subskull epidural micro-invasive flexible brain-computer interface electrode, which comprises a plurality of electrode branches, each electrode branch comprises a linear flexible main body, and the flexible main body comprises a micro power supply circuit and a signal circuit which are solidified. A plurality of electrode units are arranged on the micro power supply circuit and the signal circuit at intervals, and the electrode units are electrically connected with the micro power supply circuit and the signal circuit. The brain-computer interface electrode is in a flexible line type, can be implanted into the middle artery of the meninx, does not need craniotomy, is a micro-invasive brain-computer interface, has data monitoring accuracy close to that of an invasive brain-computer interface, does not need to worry about inflammatory response, immunostimulation, biocompatibility, brain tissue damage and other adverse factors after long-term implantation, and is suitable for popularization and application. And the thrombogenic risk of a vein stent brain-computer interface does not exist.

The invention discloses an electric power inspection system and method based on image fusion and an improved target detection algorithm, and relates to the technical field of electric power inspection, the system comprises a double-spectrum data acquisition module, an image registration module, an image fusion module, a target detection module and a human-computer interaction interface which are connected in sequence; the double-spectrum data acquisition module acquires an infrared image and a visible light image of the power equipment; the image registration module carries out registration processing by adopting a CAO-C2F method; the image fusion module performs feature extraction, shallow detail fusion, deep semantic fusion and scene reconstruction on the registered dual-spectrum image to obtain a fusion image fusing infrared features and visible light features; the target detection module adopts an improved target detection algorithm to carry out target detection; and the human-computer interaction interface displays the defect detection result of the power equipment and the coordinate information of the target position in real time. The environment adaptability and universality of power inspection can be improved, and the precision and efficiency of power inspection are improved.

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 relates to the technical field of gate valve control systems, and discloses a pilot gate valve intelligent control system for a hydraulic valve, which comprises a valve body, and the valve body comprises a main valve clack, a hydraulic cavity, a pilot valve assembly, an intelligent control unit, a multi-source sensor, a human-computer interaction interface and a cloud server. According to the pilot gate valve intelligent control system for the hydraulic valve, a valve operation digital mirror image is built through the multi-source sensor set, the pressure sensor captures the pressure difference of a main valve, a reference is provided for water hammer suppression and the like, the electromagnetic flowmeter conducts non-contact measurement and adapts to multiple media, abrasion errors are avoided, and the magnetostriction displacement sensor monitors valve clack micro-motion; the vibration sensor carries out early warning on hidden dangers such as sealing abrasion through three-axis data, the temperature sensor corrects interference of fluid characteristics on control, the five sensors work cooperatively, all-directional monitoring of fluid parameters and mechanical states is achieved, data are accurately input for intelligent control, and efficient and stable operation of the valve is guaranteed.

The invention discloses an automatic grading device for thermal shock cracks of a coating and an application method. Comprising a terahertz wave detection module, a laser ultrasonic excitation and detection module, a high-precision three-dimensional motion control platform, a multi-mode signal synchronous acquisition and processing unit, a crack intelligent grading evaluation unit, an environment simulation and temperature control unit, a protective shell and a human-computer interaction interface. The near-surface dielectric property change of the coating is represented through the terahertz technology, the deep mechanical property evolution is detected through the laser ultrasonic technology, the thermal shock service condition is reproduced in combination with a high-temperature environment simulation unit, and a multi-modal feature fusion algorithm and a physical model and machine learning collaborative inversion model are adopted to obtain the thermal shock resistance of the coating. And automatic quantitative evaluation and severity grading of the depth, density, length and network connectivity of the thermal shock cracks of the thermal barrier coating are realized. The problems that an existing single detection method is insensitive to vertical cracks, poor in high-temperature environment adaptability and low in manual evaluation efficiency are solved.

The invention relates to a road construction machine having a controller 27 which is configured such that control command signals are generated for drives and actuators 8, 9, 16, 20A, 20B assigned to the wheels 4, 5, 6, 7 and / or the milling / mixing roller 18. Additionally provided are: a human-machine interface 26 that interacts with the controller 27 and a memory device 30that interacts with the controller as well as a state monitoring device 32 that interacts with the controller, which monitoring device detects an operating state or operating mode of the drives and actuators. The road construction machine is characterized in that a plurality of instruction data sets is stored in the memory device, said data sets each containing data for an instruction to be visualized using the human-machine interface. The controller provides a learning mode comprising a plurality of lessons for adjusting the position of the wheels and / or the height of the milling / mixing roller and is configured such that, depending on an operating state or operating mode of the drives and actuators detected by the state monitoring device, a selection of a specific data set is made from the instruction data sets stored in the memory device, and the instruction corresponding to the selected instruction data set is visualized using the human-machine interface. In addition, depending on the command entered with the human-machine interface after the visualization of the instruction, the controller generates for the drives and actuators the control command signals corresponding to the command entered, so that the wheels and / or milling / mixing roller move.

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 relates to a flexible material cutting robot with a leveling function and a cutting method thereof, and belongs to the technical field of flexible material cutting, the flexible material cutting robot comprises a master control layer, a sensing layer, an execution layer and an interaction layer, the master control layer adopts a central control module, the sensing layer adopts a data acquisition unit, the execution layer is a hardware action unit, and the interaction layer adopts a man-machine interface. The central control module is provided with a digital twin engine and a multi-physics field collaborative optimization algorithm library, the data acquisition unit comprises a machine vision system and a material characteristic self-identification unit, and the hardware action unit comprises a multi-stage tension collaborative leveling module, a vacuum adsorption type dynamic cutting platform and a multi-axis linkage cutting head group. According to the invention, through closed-loop control of material characteristic sensing, dynamic leveling, self-adaptive adsorption and energy matching cutting, zero-deformation precise cutting of high-end flexible materials is realized, and the system is particularly suitable for high-value material processing in the fields of aerospace, medical equipment and the like.

A computerized system for circuit design review and analysis can include an automated machine analysis engine running in a processor and operable to execute a BOM evaluation of a PCB design, a schematic analysis engine running in the processor and operable to analyze a schematic diagram associated with the PCB design, a PCB layout analysis engine running in the processor and operable to analyze a PCB layout associated with the PCB design, a PCB manufacturability analysis engine running in the processor and operable to analyze the PCB layout of the PCB design in combination with the BOM to validate manufacturability of the PCB design, and a design modification engine running in the processor and configured to generate a screen display object on a human-machine interface illustrating the data and / or a change to the BOM, the schematic diagram, and / or the PCB layout.

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.

The invention discloses a vehicle interface layout control method, a storage medium and electronic equipment, and the method comprises the steps: receiving an interface layout request of a request vehicle, and obtaining the current time, the current position, the user information of a request user and historical operation data; performing user habit statistical analysis according to the user information and the historical operation data of the request user, and generating a plurality of position scene layout strategies associated with positions and time; and matching a target scene layout strategy according to the current time and the current position and sending the strategy to the requesting vehicle. According to the application, a plurality of position scene layout strategies associated with positions and time are generated according to the historical operation data of the application used by the requesting user, and the target scene layout strategy is matched according to the current time and the current position and is sent to the requesting vehicle, so that the position-time-function three-dimensional association model can be established; and performing application layout according to application use habits of different users.

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.

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 spiral spring configured to bias the joystick to a neutral position; a detectable component coupled to the spiral spring; and a sensor configured to detect a position of the detectable component.

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.

The invention relates to an intelligent asparagus lettuce seed harvesting-managing all-in-one machine based on machine vision, and belongs to the technical field of agricultural planting and harvesting. A harvesting mechanism, a storage mechanism, a seeding mechanism, a counting mechanism and a bundling mechanism are mounted on the integral frame. Through the storage mechanism, the sowing mechanism, the counting mechanism and the bundling mechanism, work of picking, counting, bundling, planting and the like of lettuce can be achieved. The equipment is simple in mechanism, environment-friendly in design, more reasonable in man-machine interaction interface, easy to operate, quick to master, capable of achieving multifunctional integrated operation, low in cost and high in control precision. The device is mainly composed of an overall frame, a harvesting mechanism, a storage mechanism, a sowing mechanism, a counting mechanism, a bundling mechanism, a pneumatic mechanism and a moving mechanism, and is high in reliability, high in precision and accurate in operation.