48results about How to "Real-time feedback" patented technology

The invention relates to the technical field of brain-computer interfaces, and discloses a self-adaptive dynamic feedback brain-computer interface training method and system based on virtual reality. The training method comprises the steps that a user performs motor imagery according to a training scene presented by the VR display device; the electroencephalogram acquisition equipment acquires electroencephalogram signals; configuring a data processing module, and operating a motor imagery continuous control model to calculate characteristic parameters by taking the electroencephalogram signals as input; under the condition that the task exists, the characteristic parameters are used as input, and a dynamic self-adaptive characteristic-feedback mapping model is operated to calculate control parameters; sending the control parameters to a functional electrical stimulation device to load electrical stimulation of corresponding intensity to the muscle to obtain tactile feedback; meanwhile, the dynamic adaptive feature-feedback mapping model is dynamically updated according to latest input feature parameters; the control parameters are sent to the VR display device to present visual feedback, and the user adjusts the motor imagery based on the visual feedback and the haptic feedback. The participation sense of the user and the training efficiency can be improved.

The invention discloses a child massage teaching auxiliary system based on artificial intelligence, and particularly relates to the technical field of massage auxiliary teaching, a Kalman filtering technology is adopted to effectively filter out large-amplitude interference in hand motion data, time-frequency analysis is carried out in combination with fast Fourier transform or wavelet transform, and frequency domain characteristics of microfibrillation signals are accurately captured; through fine micro-tremor signal analysis, noise interference is removed, the fine change of micro-tremor of the hands of a student is accurately identified, and the evaluation precision of the massage action stability is remarkably improved; and the integrated learning progress management module automatically adjusts teaching contents according to the learning progress and skill mastering conditions of the students, provides real-time feedback and forward excitation, provides excitation when the students have good performance, prompts and optimizes follow-up actions in real time when deviation occurs, helps the students to continuously improve skills, avoids error accumulation, and effectively improves the teaching effect.

The invention relates to the technical field of material storage management, in particular to a BIM-based construction site material monitoring management method and system. The method comprises the following steps: obtaining a construction project drawing; performing drawing information extraction on the construction project drawing to obtain construction project material information data and construction project structure data; performing construction project three-dimensional modeling on the construction project material information data and the construction project structure data to generate construction project three-dimensional modeling data; obtaining total construction material data; and carrying out material information modeling on the total construction material data by using a BIM technology to generate total construction material modeling data. According to the invention, accurate three-dimensional modeling, intelligent marking, regionalized storage and real-time allocation of the construction site materials are realized through the BIM technology, and the accuracy of construction site material monitoring management and the emergency response real-time performance are improved.

The invention discloses an Internet of Things intelligent application method and device based on a large language model, belongs to the technical field of Internet of Things equipment, aims at solving the problems of complexity and inconvenience of user interaction, insufficient compatibility between equipment and poor security and privacy, and comprises the following steps: S1, demand analysis and system design; s2, data collection and preprocessing; s3, language model integration and processing; s4, intelligent decision making and automatic management; by setting the natural language processing module and the large language model, the natural language instruction of the user can be understood and generated through the natural language processing technology, so that the user can carry out equipment control and information query by using simple statements, the complexity of operation is reduced, and meanwhile, by combining the voice recognition technology, the user experience is improved. The user can interact with the Internet of Things system through voice, the model can accurately understand voice input, real-time feedback and operation execution are provided, and user experience and operation convenience are remarkably improved.

The invention provides a visual aiding system and method for visually impaired people based on a multi-mode large model, intelligent glasses and application software. The system comprises a multi-mode large model, blind-helping application software and intelligent glasses, enables a visually impaired person to ask questions through simple voice, achieves the recognition of all things such as environment, obstacles, text information, road names / shop names, flowers and plants, and feeds back the questions to the visually impaired person through voice. According to the scheme, the visually impaired person can conveniently and quickly see all information around the person in a hearing mode, then the independence of work and life is greatly improved, and the visual impaired person has wide application prospects and huge social value.

The invention relates to an intervertebral disc degenerative change analysis system based on multi-dimensional information. The system comprises a data processing module, a modifiable factor processing module, a circular RNA data processing module, a biomarker processing module, an image processing module, a treatment information processing module, a diagnostic feature anchoring module, a model generation module and a change analysis module. Anchoring is carried out on circular RNA, biomarkers, treatment information and modifiable factors through image information to form an anchoring network, and a reliable and effective basis can be provided for disease course analysis through big data and a large number of research results, so that each doctor has a targeted expectation and understanding on the disease course of a patient in the diagnosis stage; the method has the advantages that an interventional therapy scheme can be arranged in advance or the condition of a patient can be observed in real time, research results can be collected and fed back in time through big data, the information utilization rate is increased, and an information dimension integration scheme for degenerative disease recognition is created, and the accuracy of recognition results is improved.

The invention discloses a vacuum high-temperature furnace cooling intelligent control system and a control method thereof, relates to the field of high-temperature furnace cooling regulation and control, and solves the problems that an existing high-temperature furnace temperature monitoring and control method is low in accuracy and difficult to accurately control. The temperature detection module is used for detecting the water supply temperature in real time and feeding back a temperature detection signal; the flow detection module is used for detecting the water return flow in real time and feeding back a flow detection signal; the cooling control module is used for receiving and responding to the temperature detection signal and the flow detection signal so as to control the cooling water system to regulate and control operation parameters; according to the intelligent cooling control system for the vacuum high-temperature furnace and the control method of the intelligent cooling control system, accurate temperature and flow information can be obtained through detection, operation parameters can be adjusted in time in real time, and normal operation of a cooling water system is guaranteed.

The invention relates to a control system and method for a marine underwater monitoring robot, and the system comprises a main control module which carries out the compression and coding of collected operation environment data and motion posture data according to a video data compression protocol, compressed and coded operation environment data and motion attitude data are sent to a control center through a wireless communication module, the control center feeds attitude control information back to a main control module according to requirements, and the main control module controls the motion state of the robot through a motion control module after receiving the attitude control information; the environment information acquisition module is used for acquiring a video signal, turbidity and temperature of a working environment; the attitude information acquisition module is used for acquiring collision sonar, pressure, depth and motion state information of the current robot; a wireless communication module; and the motion control module controls the robot to operate according to the expected posture. The system can realize depth-keeping control and attitude control, and the motion control capability is relatively ideal.

The invention discloses a music emotion adjusting system and method based on content generated by artificial intelligence. According to the method, on the basis of the music style and emotional state preferred by the user, the personalized customized music is generated by using the AIGC technology; meanwhile, by monitoring EEG signals of the user, detecting emotional changes of the user and establishing a mapping relation among music styles, emotional states and music elements, music of different styles and emotional tendencies is dynamically generated according to emotional requirements of the user, so that the problem that copyright and individuation are insufficient in a traditional music therapy is solved, and the user experience is improved. Meanwhile, the emotion monitoring method based on the electroencephalogram can feed back emotion changes of the user more scientifically, more objectively and in real time, and the accuracy of emotion adjustment is improved.

The invention relates to the technical field of English homework correction, in particular to an English composition correction system based on an AI large model. Comprising the following steps: step 1, input and acquisition: inputting student compositions, directly uploading electronic editions, and uploading scanned paper boards; 2, pre-processing questions, and dividing the questions into two parts, namely, a proposal composition and a non-proposal composition according to the questions; step 3, setting a prompt project; respectively establishing judgment prompt projects according to the proposal composition and the non-proposal composition; 4, inputting the preprocessing content into an LLM large model; and step 5, the LLM model refers to the prompt project and combines data in the LLM model to judge the composition to obtain a comprehensive result. The data in the LLM model is learned and trained in advance to reach the composition judgment level for judging the examination degree. The prompt projects comprise a central thought prompt project, a question-cutting prompt project, an off-question judgment prompt project, a grammar vocabulary prompt project, a clear prompt project, a score prompt project and a guidance LLM model for judgment.

The invention discloses a steel plate drilling automatic online detection system based on machine vision, and relates to the technical field of steel plate drilling machining systems. The system comprises a control system module, the input end of the control system module is electrically connected with an image processing module, the input end of the image processing module is electrically connected with an image acquisition module, and the output end and the input end of the control system module are electrically connected with a deep learning module. The output end and the input end of the control system module are electrically connected with a data processing module. According to the invention, the deep learning module uses a deep learning algorithm to train a large number of drilling images, automatically learns the characteristics and modes of drilling, improves the accuracy and robustness of detection, can continuously optimize the performance of itself, adapts to different types of steel plates and drilling requirements, and improves the accuracy and robustness of detection. And the intelligent diagnosis module is combined with an expert system and data analysis to perform intelligent diagnosis on a detection result.

The invention discloses a closed-loop ultrasonic regulation and control system for a targeted deep brain area. A bio-electricity signal collector collects bio-electricity signals of a detection target and uploads the bio-electricity signals to a main control unit. The main control unit identifies the bio-electricity signal and outputs an excitation signal to the signal generator after identifying a characteristic electric signal. The signal generator generates an ultrasonic waveform signal according to the ultrasonic parameter. Signals are amplified by a power amplifier and then input to an ultrasonic transducer, corresponding mechanical waveforms are output under voltage excitation, then bioelectricity signals are collected in real time for neural activity reaction after ultrasonic stimulation, and closed-loop ultrasonic regulation and control are achieved. According to the invention, electric signals are recorded at the same time, ultrasonic stimulation parameters are fed back in real time, a remarkable inhibition effect is generated on mouse epilepsy electroencephalogram, ultrasonic output energy is automatically adjusted, and the possibility of adverse reaction is reduced. The ultrasonic transducer is firmly fixed on the head of the mouse by the adaptive device, so that ultrasonic regulation and control on the freely moving mouse are realized, and the mouse is not limited by anesthesia stimulation.

The invention discloses a multi-factor-based deformation prediction method for shield construction crossing a building, and the method comprises the steps: building a multi-factor matrix through settlement data, inclination data, the distance between a construction tunnel face and a building, shield construction parameter data and geological information data of a construction region, which are obtained at a plurality of moments, and taking the multi-factor matrix as the input of a prediction model; the prediction value of the settlement data of the building is obtained, and the deformation prediction of the shield construction crossing the building based on multiple factors is realized. According to the method, through combination of the CNN and the LSTM model, not only can multi-factor characteristics be associated, but also the shield construction progress and the building deformation are associated through the factor of the distance between the shield construction and the building, and through the technologies, the construction risk can be effectively reduced, and the overall construction efficiency and economic benefits can be improved; and the settlement prediction is more intelligent, dynamic and refined. And the prediction precision and safety of the settlement of the adjacent building in the shield construction process can be greatly improved.

The invention relates to an intelligent self-learning visual inspection system which is composed of an acquisition system, a data engine, an iteration engine, a correction system, a detection system and an NG / OK judgment system, and the acquisition system is used for being responsible for image acquisition of a workpiece to be detected and transmitting a picture detected by a light source to the data engine or the correction system; the data engine is used for storing the data transmitted by the acquisition system and intelligently marking the data to form formatted data required by model iteration; and the detection system is used for sending a detection request to the iteration engine after detecting the picture transmitted by the correction system, and the iteration engine calls the current optimal model for reasoning after receiving the request of the detection system and returns a reasoning result to the detection system. According to the invention, an intelligent identification model in the aspect of computer vision is utilized to automatically discover internal defects of the to-be-detected product and calculate the size of the defects as a reference basis for product waste judgment.

The invention discloses a comprehensive heat transfer coefficient calculation method for the wall surface of a circumferential heating appliance, and the calculation method specifically comprises the following steps: A, carrying out the simplified coupling processing of a radiation heat transfer formula and a convective heat transfer formula according to the physical parameters of a heat dissipation assembly, and obtaining a comprehensive heat transfer coefficient model of the heat dissipation assembly; b, on the basis of the comprehensive heat transfer coefficient model, temperature simulation calculation is conducted on the wall surface temperature Tw of the outer wall of the heat dissipation assembly by means of the environment temperature T0 and the total heat transfer amount Q of the circumferential heating appliance; and C, the temperature simulation processing of the wall surface temperature Tw is presented through a visualization system. The comprehensive heat transfer coefficient calculation method is established by researching the comprehensive heat transfer coefficient of the wall surface of the circumferential heating appliance, convective heat transfer and radiative heat transfer calculation is simplified, the comprehensive heat transfer coefficient of the wall surface is directly set in non-gridding rapid simulation, the calculation time is greatly shortened compared with the prior art, the operation is simple, and the calculation efficiency is high. And rapid and efficient design optimization of the circumferential heating appliance is realized.

The intelligent twist lock for the container ship comprises a lock body master control box, an upper lock head driving box and a lower lock head driving box are arranged on the upper portion and the lower portion of the lock body master control box respectively, an upper lock head is arranged on the top of the upper lock head driving box in a sliding mode, and a lower lock head is arranged at the bottom of the lower lock head driving box in a sliding mode; an upper lock head driving assembly is arranged in the upper lock head driving box, and a lower lock head driving assembly is arranged in the lower lock head driving box. A lock body information chip convenient for a ship remote control platform to remotely operate the twist lock is arranged on the front side of the upper lock head driving box; the lock body information chip and the control module are additionally arranged on the twist lock, and the twist lock is in communication connection with the ship remote control platform, so that key data basis and equipment support are provided for intelligent stowage and yard automatic management of the container ship; the driving motor is matched with the precise spiral lifting and rotating mechanism, so that the whole process automation of locking and unlocking of the twist lock is realized, the working efficiency is greatly improved, and the labor intensity is reduced.

The invention provides a psychological health assessment method based on image information. The method comprises the following steps: acquiring facial image data and sent voice data of a target user in a process of participating in a reaction game; filtering the facial image data to obtain a filtered image; constructing an image enhancement window, and traversing the filtered image by using the image enhancement window for denoising to obtain a denoised image; sequentially performing histogram equalization processing and face segmentation on the denoised image to obtain a face image; performing signal denoising and text conversion on the voice data to obtain text data; performing feature extraction on the face image and the text data, and fusing the extracted features to obtain fused features; and inputting the fusion features into a trained mental health assessment model to obtain an assessment result. The emotion change and psychological state of the target user can be more comprehensively captured through the analysis of the comprehensive facial image, and the accuracy and reliability of psychological health assessment are improved.

The application discloses a semiconductor wafer bin conveying system and a control method thereof, and relates to the technical field of semiconductor manufacturing automation. The system comprises a conveying unit and a material placing unit. The improvement lies in that the bottom of a wafer bin body is provided with three positioning grooves in isosceles triangle distribution, forming a mistaken orientation prevention structure; and the transfer frame and the material placing frame are respectively provided with a first set and a second set of limiting protrusions corresponding to the positioning grooves. The two sets of protrusions are configured to be selectively and sequentially clamped with the positioning grooves at the bottom of the same bin body during the conveying process, so that the anti-interference positioning handover from grabbing to placing is realized. The application eliminates the positioning collision risk between the conveying mechanism and the fixed station from the mechanical structure, and ensures the uniqueness of the direction of the wafer bin through the asymmetric geometric design. Meanwhile, the material placing frame can be integrated with elastic air supply and pressure sensing detection functions, realizing higher automation and reliability.

The invention discloses a guiding method, system and equipment for orthodontic bracket bonding. The method comprises the following steps: acquiring an operation scheme of performing orthodontic bracket bonding on a patient by medical personnel; collecting a video stream of the medical personnel executing the operation scheme on the patient in real time; identifying the video stream, and determining real-time operation information currently executed by the medical staff; according to the real-time operation information and the operation scheme, generating a virtual portrait for guiding the medical staff; according to the real-time operation information, image-text information used for guiding the medical staff is generated. Through the generated virtual portrait, the deviation between the current position and the target position of the bracket is visually fed back in real time when the medical staff adheres the bracket, meanwhile, through the generated graphic and text information, the cooperation dependence on medical care is reduced, the medical staff is guided to adhere the bracket to the patient in real time, and the adhering efficiency is improved.

The invention discloses a security information grading warning method and system, and relates to the technical field of data models.The method comprises the steps that a hierarchical protection model is constructed and incorporated into security equipment; the security of the physical layer is ensured through the dynamic security module; the early warning module performs intrusion detection; the security rating module determines an attack grade; and constructing an overall situation awareness layer and an attack traceability layer, obtaining attack source information and executing security protection and counterattack. The system provides different levels of warnings, reduces the false alarm rate, and improves the processing efficiency and safety. The hierarchical warning system dynamically feeds back in real time, quickly identifies and processes problems, continuously monitors the network security state, and dynamically adjusts the security policy to adapt to network threats. According to the invention, network security events can be timely and accurately coped with, the overall security protection capability is improved, the security management process is simplified, and powerful support is provided for modern network security protection.

According to the electric screwdriver with the pressure-torsion sensor, the electric screwdriver is provided with the shell, the rotating motor, the main shaft and other components, normal work of the electric screwdriver can be met, the first sensor body and the second sensor body are integrated, and therefore the electric screwdriver can detect radial torsion data and pressing data at the same time; the torque and the vertical acting force can be more accurately controlled in the operation process of the electric screwdriver, and therefore the assembling precision and controllability are improved. The first sensor body and the second sensor body are reasonable in design, respectively sleeve the outer ring of the main shaft and are connected with the shell. The structural design not only ensures the stability and durability of the sensor, but also avoids direct connection between the sensor and the main shaft or the rotating motor, and reduces the risk of damage to the sensor. Compared with a traditional electric screwdriver, the electric screwdriver with the pressure-torsion sensor is remarkably improved in function. Besides the basic rotating function, the torque and pressing data can be monitored and fed back in real time.

This utility model relates to the field of helicopter technology, specifically to a bracket for installing airborne satellite communication and pods on helicopters. It includes a cabinet assembly, a pod assembly, an airborne antenna assembly, and a positioning antenna. The cabinet assembly consists of a CIU (Computer Integrated Unit), a computer, a small table, a cabinet frame, a tray, an IP phone, a cabinet power supply box, a base station equipment box, a top cover, and signal lights. The pod assembly includes a bowl-shaped component and an optoelectronic pod. The entire cabinet assembly is bolted to one side of the seat rail. The entire pod assembly is installed below the original nose pylon via the bowl-shaped component. The entire airborne antenna assembly is fixed to the left side of the cockpit ceiling via an antenna mounting plate and mounting bracket. Successfully installing the satellite communication and pod equipment improves the helicopter's information acquisition and processing capabilities, enabling real-time transmission of field information to the ground command center. This solves the problem of the lack of readily available installation platforms for existing Bell 429 helicopters, which makes satellite communication system installation inconvenient.

The application discloses a high-altitude environment simulation real-time control simulation system and method, wherein the system comprises a host computer control platform, a model simulation platform and a high-altitude table actuating mechanism which are sequentially communicated and connected. The system calls a high-altitude test table model and a controller model to carry out structure modeling and numerical simulation test, can accurately simulate the exhaust speed, the inlet and outlet air pressure and the dynamic change law thereof, and realizes the construction of a full-digital simulation scene and a semi-physical simulation scene of the high-altitude table. Through the real-time simulation function, the real test control ability can be obtained, the problems of incomplete test data and low precision of the measured engine in the high-altitude test are effectively solved, the cost and the danger of the aero-engine test are reduced, and a safer and more reliable technical guarantee is provided for the implementation of the high-altitude test.

The invention discloses an underwater pressure intelligent monitoring and feedback system for diving assistance, which relates to the technical field of diving and comprises an acquisition module, a microprocessor, a display module, an alarm module and a communication module, the acquisition module is used for acquiring underwater real-time data of the diving equipment during diving through a sensor, and the sensor is installed in the diving equipment; according to the underwater pressure intelligent monitoring and feedback system for diving assistance, a display module displays processed key parameters, an alarm module gives out a sound-light alarm under an abnormal condition to remind a diver to take measures, and a communication module sends state and position information to water surface monitoring equipment in real time; through multi-source data fusion and intelligent analysis, comprehensive and real-time safety monitoring and feedback are provided for divers, and the safety and reliability of diving activities are remarkably improved.

The application discloses a belt conveyor safety maintenance hanging card practical training system, effectively solves the problems of lacking integrated "three-party confirmation" process intelligent training system in belt conveyor equipment safety maintenance hanging card operation practical training and examination. The application sets up the operation table, power distribution cabinet and belt conveyor which are associated to constitute the belt conveyor safety maintenance hanging card practical training system, and matches the corresponding practical training method, adopts the "entity operation + virtual feedback + intelligent management and control" three-in-one mode, realizes the forced operation sequence, reduces the standardized process of human negligence, realizes the dynamic simulation of accident consequences, enhances the risk perception of safety awareness, and realizes the automatic timing of the control system and the error step judgment, saves the examination time and improves the training efficiency.

The invention mainly provides a multi-bit control device for a large-array intelligent metasurface, and the device achieves the cooperative work of a power module, a control module, a wireless communication module, an external data interaction module, a digital-to-analog conversion output module, and the like. Therefore, multi-bit phase beam control of the large-array intelligent metasurface based on the variable capacitance diode unit structure is realized.

The invention relates to the technical field of transformer fault diagnosis, and discloses a transformer multi-source fault diagnosis method and system and a storage medium. The method comprises the steps that fault signals of a transformer are collected in real time through a sensor array and subjected to denoising processing, signal features are classified through a clustering analysis algorithm, detection parameters are adjusted based on classification labels, and the fault prediction probability is further calculated; optimizing a fault response sequence according to the fault prediction probability, and establishing a communication protocol based on the sequence to realize synchronization of a signal acquisition process and a data analysis process; and finally, generating a maintenance scheduling instruction, and generating a fault response scheme based on the fault type and the maintenance priority. According to the method, by dynamically adjusting a response mechanism and optimizing data synchronization, the accuracy and response efficiency of fault diagnosis are remarkably improved, the loss of transformer faults can be effectively reduced, and the operation reliability of power equipment is improved.

The application discloses a fresh medicine osmotic pressure equipment detection system and method based on multi-data fusion, and the system comprises a multi-source acquisition unit, which is used for acquiring osmotic pressure time series data, spectral response data and electrochemical response data of a fresh medicine sample to be detected within a preset detection period, and forming original multi-source time series data sets with sampling time markers; and an event extraction unit, which is used for extracting key response events from various original detection data and forming event feature sequences of corresponding modes, and the application relates to the technical field of fresh medicine detection. The fresh medicine osmotic pressure equipment detection system and method based on multi-data fusion can establish a correlation model between the functional state of fresh medicine and the osmotic pressure change process through key steps such as event extraction, feature fusion and interval backstepping, and can output individualized functional osmotic pressure intervals, which provides a scientific basis for the quality control, activity evaluation and storage and transportation management of fresh medicine.

The present invention relates to a discrete dust processing system and method, belonging to the field of dust removal technology, the discrete dust processing system comprises: a body assembly, the body assembly is provided with an air inlet, an air outlet and a first opening, the body assembly is provided with a first mounting cavity and a second mounting cavity; a filter cartridge assembly, the filter cartridge assembly is arranged on the body assembly and is located in the first mounting cavity, the filter cartridge assembly is provided with a filter cavity and a second opening, the air inlet, the first mounting cavity, the filter cavity, the second opening, the first opening and the second mounting cavity are connected in sequence; a spray assembly, the spray assembly is arranged on the body assembly, the spray assembly is provided with an air inlet and an air outlet, the air inlet is connected to an external air source, the air outlet is connected to the filter cavity, the spray assembly is provided with an air transmission channel, the air inlet, the air transmission channel and the air outlet are connected in sequence. The discrete dust processing system disclosed in the present application realizes instantaneous sweeping of dust on the surface of the filter cartridge assembly through the spray assembly, which greatly improves the dust cleaning efficiency.

The application discloses a writing health prompting method, a handwriting pen and a storage medium, and relates to the technical field of input device control. The method is applied to the handwriting pen, and the handwriting pen comprises a pressure detection module, a posture sensing module, a main control module and an addressable light source. The method is executed by the main control module, and comprises the following steps: acquiring pen tip pressure data of a pen tip of the handwriting pen acting on an input surface collected by the pressure detection module; acquiring spatial posture data of a pen body of the handwriting pen relative to a reference surface collected by the posture sensing module; generating a pressure feedback parameter based on a preset pressure interval and the pen tip pressure data; generating a posture feedback parameter according to a preset holding posture and the spatial posture data; and controlling the addressable light source to perform visual feedback based on the pressure feedback parameter and / or the posture feedback parameter.