90 results about "Pulse sensor" patented technology

The invention discloses a power distribution network line fault positioning detection system, and relates to the technical field of power distribution network fault detection. The system comprises a mixed information acquisition layer, a fault feature extraction layer, an intelligent diagnosis layer and a fault positioning layer. The mixed signal acquisition layer comprises a high-frequency transient wave recording unit, a power frequency measurement unit, a wireless pulse sensor and a distributed optical fiber temperature measurement unit; the fault feature extraction layer comprises a time-frequency analysis module, a preprocessing module and a three-dimensional feature vector module; the intelligent diagnosis layer comprises a convolutional attention network, a space-time diagram neural network and a transfer learning module; the fault positioning layer comprises a particle swarm module and a fuzzy reasoning module. According to the invention, data information of the cable is acquired through the mixed information acquisition layer, a video analysis window function is dynamically matched with signal characteristics, a time domain graph scale, a frequency domain resonance component and a space field intensity gradient are constructed, fault diagnosis and positioning are carried out by using the intelligent diagnosis layer, and the fault positioning detection efficiency of the power distribution network is improved.

The invention discloses a photovoltaic cable health state assessment method and system, and the system comprises a signal collection module which is disposed at a key node of a cable, and comprises an ultra-wideband pulse sensor, an infrared thermometer, and an illumination sensor; the edge processing module is used for constructing a state characteristic curve and identifying a target sample time interval; the cloud analysis engine is used for executing defect contribution simulation value extraction and thermal-electric coupling model iterative optimization; according to the scheme, multi-dimensional signals such as current, voltage, partial discharge pulse, temperature and illumination intensity are synchronously collected through a distributed sensor network, a multi-parameter evaluation system including amplitude, phase and temperature is constructed, and the health state level, the defect position distribution and the simulation value change trend are displayed through multi-dimensional signal fusion and multi-parameter analysis. And the detection accuracy and comprehensiveness are improved.

The invention discloses a multi-mode health monitoring bracelet and a data processing method thereof. The multi-mode health monitoring bracelet is mainly composed of a dial plate body, a flexible substrate and a wrist strap assembly. An annular detection module is integrated in the dial plate body, 24 piezoresistive pulse condition sensors of an inner ring of the annular detection module are arranged according to cun-guan-chi positions to collect pulse conditions, and PPG sensors and biological impedance electrodes are alternately arranged on an outer ring of the annular detection module to be used for western medicine physical sign monitoring. A multi-layer flexible circuit is embedded in the flexible substrate, and the wrist strap assembly comprises a nickel-titanium alloy framework and a pneumatic micro-capsule. An edge calculation module is adopted for data processing, a dynamic baseline calibration algorithm is carried, and a threshold value is adjusted according to data and individual characteristics of a user in the first 72 hours. According to the system, traditional Chinese medicine pulse condition digitization and western medicine physical sign continuous monitoring can be synchronously achieved, the problems that a traditional device is single in function, delayed in data processing, fixed in health baseline and the like are solved, the system has the advantages of multi-mode monitoring, real-time response, personalized adaptation, comfortable wearing, accurate signals and the like, and comprehensive and accurate health monitoring and service are provided for a user.

The invention discloses a three-in-one composite sensor and an equipment state monitoring method, and belongs to the technical field of sensors, the three-in-one composite sensor is used for monitoring the state of a bearing and comprises a metal shell, the metal shell is fixedly installed on an outer ring of the bearing, a cable is fixedly installed on the metal shell, and the cable is connected with the metal shell. A pair of temperature probes, a three-axis MEMS acceleration sensor and a piezoelectric ceramic impact pulse sensor are installed in the metal shell in an integrated mode. The three sensors are integrated in the metal shell to form a three-in-one composite sensor, so that the installation space and the installation complexity are remarkably reduced, and the problem of redundant structure of a traditional bearing monitoring system is solved; the early micron-sized damage of the bearing can be effectively identified by adopting the capturing sensitivity of the piezoelectric ceramic impact pulse sensor to a high-frequency impact signal and combining three-axis vibration analysis; through the symmetrically distributed temperature probes and a dynamic weighting algorithm, local heat source interference is eliminated, and the accuracy of temperature monitoring is improved.

The invention discloses a pulse diagnosis training device based on the Internet of Things and a pulse condition simulation method, and relates to the crossing field of traditional Chinese medicine education and the Internet of Things technology.The pulse diagnosis training device is composed of pulse sensor hardware and a pulse sensing APP, wireless connection and instruction interaction are achieved through an ESP8266 chip, a pulse sensor adopts three sets of independent amplitude-adjustable motors to simulate pulse of the cun, guan and chi, and the pulse sensor hardware is connected with the pulse sensing APP; in combination with PID closed-loop control and a waveform interpolation algorithm, the bit, number, shape and potential characteristics of 28 kinds of standard pulse conditions are precisely restored; the pulse awareness APP provides staged learning, random testing and learning data management functions to form a complete learning closed loop of theoretical learning-simulation practice-effect evaluation; the pulse diagnosis training device has the advantages of being light in weight, low in cost and convenient to operate, pulse diagnosis learning and practice requirements of traditional Chinese medicine students, enthusiasts and researchers can be met, the market blank of personal pulse diagnosis training equipment is filled, and the pulse diagnosis learning efficiency and accuracy are remarkably improved.

The invention discloses a wearable intraoperative body temperature detection and early warning device, and relates to the technical field of body temperature detection. The bracelet specifically comprises a bracelet body, a notch is formed in one end of the bracelet body, a hole is formed in one side of the notch, a clamping mechanism is arranged at the joint of the notch, a temperature sensor is fixedly installed on the inner side, close to the hole, of the bracelet body, and a pulse sensor is fixedly installed on the side, close to the temperature sensor, of the bracelet body. The bracelet comprises a bracelet body, anti-slip stickers are bonded to the inner walls of the two sides of the bracelet body, a display screen is fixedly mounted on the outer side of the center of the bracelet body, LED lamp strips are fixedly mounted on the two outer sides of the circumference of the bracelet body, a mounting cover is fixedly mounted on the side, close to the display screen, of the bracelet body, and a medicine box is fixedly mounted on the other side, close to the display screen, of the bracelet body. The temperature sensor and the pulse sensor on the inner side of the bracelet body are guaranteed to detect the temperature and pulse of a human body, and therefore the problem that an existing device of a box structure is not beneficial to surgical operation is effectively solved.

Real-time monitoring of human body surface physiological information is a core function of wearable medical equipment. A micro-fluidic technology is paid attention to the field of biochemical physiological information sensing, but the potential of the micro-fluidic technology in the aspect of mechanical force physiological information sensing is not fully excavated, so that the realization of a multi-parameter integrated detection platform is hindered. The invention provides a dual-mode flexible physiological force sensor based on microfluid deformation. According to the sensor, capacitance and triboelectric effects are creatively fused, and the limitation of a single sensing mechanism is broken through. The liquid drop not only can be used as a deformable electrode to form a capacitance structure with the bottom electrode to realize static force detection, but also can be contacted with the PDMS dielectric layer for electrification to capture a dynamic force signal. By accurately regulating and controlling geometric parameters of the sensor, collaborative optimization of sensitivity and detection range is realized, and ultrafast dynamic response of 21ms is achieved. Experiments prove that stable underwater pulse monitoring can be carried out for 168 hours, and the biomedical potential of the underwater pulse sensor in the aspects of mechanical and biochemical signal fusion and overall physiological analysis is proved.

This application relates to apparatus and methods for rowing machine systems. In some examples, an instrumented handle for a rowing machine includes a printed circuit board (PCB) with a processor, a transceiver, a memory device, an accelerometer, a gyroscope, and a pulse sensor. The instrumented handle also includes an actuator embedded in a handle grip of the instrumented handle. The processor is configured to communicate with a server, such as a cloud-based server, via the transceiver. The processor may receive sensor data from the accelerometer, the gyroscope, and the pulse sensor, and may generate rower data based on the received sensor data. Further, the processor may transmit the rower data to the server for updating an application, such as a leaderboard or a simulation. In some examples, the processor provides the rower data for display on a display of the rowing machine.

A system for data capture and storage comprising: a data capture device taken from the group consisting of blood pressure device, thermometer, pulse sensor, scale and glucose meter; a local computer system in communication with the data capture device; a set of local computer readable instructions configured for receiving data from the data capture device, display the data capture device in a user-friendly format, determine if there is an electronic communications link and if so, transmit the data to a remote computer system, retrieve data from the remote computer system and display a combination of the data frohe data capture device and the remote computer system to the user.

The utility model discloses a track event starting timing training device which comprises a remote control starting device, a loudspeaker and a control module. The remote control starting device emits different signals through the wireless emission module, and the loudspeaker receives the signals of the remote control starting device through the wireless receiving module so as to play corresponding sounds; the wireless transmitting module comprises a transmitting external antenna end, a data input end, a transmitting power supply end and a transmitting grounding end; the wireless receiving module comprises a receiving external antenna end, a data output end, a receiving power supply end and a receiving grounding end; the stopwatch display is used for receiving a signal of the loudspeaker so as to realize timing and watch returning; the photoelectric detection module comprises a light emitting pulse sensor and a light receiving pulse sensor, and the photoelectric detection module controls the stopwatch display to stop timing through the control module when the athlete passes through the terminal point.

The application provides a high-pressure oil pump gear pulse sensor which is convenient to install, plug-and-play, high in phase detection precision and strong in anti-interference. The high-pressure oil pump gear pulse sensor comprises a sensor body, an adjusting gasket and an O-shaped ring. The sensor body comprises a sensing component mounting part, a body fastening mounting part and a mounting connecting plate. The body fastening mounting part is arranged beside the sensing component mounting part. The mounting connecting plate connects the sensing component mounting part and the body fastening mounting part into an integrated whole. The body fastening mounting part is provided with a mounting positioning hole. The sensing component mounting part comprises a lower convex sensing part and an upper convex wiring part. A wiring PIN needle group is arranged in the inner cavity of the wiring part.

The invention discloses a scale type elbow and wrist joint flexible rehabilitation exoskeleton system based on physiological signal supervision, which comprises a wrist joint flexion pneumatic driver, a wrist joint extension pneumatic driver, an elbow joint flexion pneumatic driver, an elbow joint extension pneumatic driver, a hardware system and a bottom layer control system, the hardware system is matched with the bottom layer control system, motion signals, electromyographic signals, air pressure signals and pulse signals are collected, controllable air pressure is provided for the pneumatic wrist joint driver and the pneumatic elbow joint driver, and the safety stopping mechanism is used for stopping the pneumatic wrist joint driver and the pneumatic elbow joint driver on the basis of the pulse signal strength detected by the pulse sensor in real time. When the pulse signal intensity is lower than a preset safety threshold value and lasts for a certain time, the system automatically stops rehabilitation training, and the maximum atmospheric pressure threshold value of the system is automatically updated. Intelligent rehabilitation training and assistance which are high in integration level, good in safety, high in rehabilitation efficiency and capable of promoting active participation of the patient are provided for the patient with the upper limb elbow and wrist joint dysfunction.

An IoT-based weighing system to increase baby safety, consisting of: an intelligent cradle that has been specially designed and configured to meet the needs of an infant; a microcontroller configured to receive and process data from a variety of sensors and components integrated into the smart charging station; a variety of sensors integrated into the smart cradle and operationally connected to the microcontroller, the variety of sensors including: an infrared temperature sensor for non-contact detection of the infant's body temperature, a microphone sensor for detecting sounds from the infant, a moisture sensor for detecting wetness in a diaper, a gas sensor for detecting the presence of gases and smoke in the environment, and a pulse sensor for monitoring the infant's heart rate; a Wi-Fi module integrated into the microcontroller, configured to transmit the processed data to the cloud server via the internet; a servo motor that is operationally connected to the microcontroller and configured to generate a rocking motion in the cradle, the servo motor being activated by the microcontroller when the microphone sensor detects crying sounds from the infant; a buzzer that is functionally connected to the microcontroller and configured to trigger an audible alarm; a camera module with a webcam configured to capture a live video image of the infant and transmit this live video image via the WLAN module, wherein the camera module is further configured to enable facial recognition and facial identification for the purpose of identifying unauthorized persons, wherein the live webcam feed is retrieved by the microcontroller to perform facial recognition and facial identification, and the microcontroller sends a notification via the cloud server when the webcam detects an unknown face; and a cloud server configured to store the processed data and send notifications to a caregiver's mobile device.

The invention relates to the technical field of pulse condition recognition, and discloses a remote traditional Chinese medicine pulse condition recognition system based on a pressure-separation-electricity coupling flexible sensor, and the system comprises a pulse condition sensor module which is used for being attached to the wrist of a human body according to a three-finger synchronous pulse taking mode; the multi-modal signal collecting and preprocessing module is used for collecting multi-modal pulse condition signals through the pulse condition sensor module, preprocessing the multi-modal pulse condition signals and extracting characteristic parameters; the pulse condition recognition module is used for constructing an intelligent pulse condition recognition model and inputting the multi-mode pulse condition signals and the characteristic parameters into the pulse condition recognition module to obtain pulse condition data of the user; and the remote monitoring module is used for realizing real-time uploading, analysis and feedback of the pulse condition data. The invention aims to prepare a sensor array, collect a multi-mode pulse condition signal, construct a pulse condition intelligent identification model and output pulse condition data by taking a pressure-isolation-electricity coupling technology as a core.

The disclosure provides a multi-modal neuron structure, comprising a reference voltage generation module and a pulse generation module, the reference voltage generation module comprises a first reference voltage generation module and a second reference voltage generation module, the first reference voltage generation module generates a first reference voltage, and the second reference voltage generation module generates a second reference voltage; the pulse generation module is connected with the reference voltage generation module, an input end of the pulse generation module is used for receiving a frequency-coded pulse sequence or a time-coded pulse sequence, and the pulse generation module comprises a first charge packet counter sub-circuit, a second charge packet counter sub-circuit and a mode signal input circuit. The disclosure can receive a frequency-coded pulse sequence or a time-coded pulse sequence, has a simple structure, occupies a small area, and is suitable for various forms of pulse sensors.

The invention relates to a pulse detection device for cardiovascular clinical nursing, which comprises a mobile platform, pulleys arranged at four corners of the bottom of the mobile platform, a lifting rod arranged at the top of the pulleys, a storage table arranged on the outer wall of the fixed end of the lifting rod, a detection platform arranged at the top of the telescopic end of the lifting rod, and a fixing mechanism arranged at the top of the detection platform. A detection mechanism is arranged at the top of the detection platform; according to the invention, the following problems can be solved: arms of different patients can be fixed through cooperation of a moving block and a concave-convex arc-shaped plate, and inaccurate detection results caused by random movement of the arms in the pulse detection process are prevented; through cooperation of the arm pad and the palm pad, the tension degree of the patient is relieved; through cooperation of the reciprocating lead screw and the supporting rod, the pulse sensor is driven to move towards the wrist of a patient while the arm of the patient is fixed, so that the pulse sensor can move to the proper distance of the wrists of different patients, and the detection accuracy is improved.

The utility model relates to the technical field of medical health, in particular to a human body multi-mode physiological signal acquisition device which comprises an acquisition host, a base arranged behind the acquisition host, a touch screen arranged on a front panel of the acquisition host, a camera arranged in the top of the touch screen and used for face recognition and acquisition, and a microphone port embedded in the bottom of the touch screen. A sensor interface is arranged on the upper side in the base, a signal transmission line is connected to the sensor interface through a connecting plug, the tail end of the signal transmission line is divided into two connecting lines, two sets of fingerstalls are connected to the two connecting lines respectively, and a heart rate sensor, a pulse sensor, a blood oxygen saturation degree sensor and a skin temperature and skin electric sensor are integrated in the two sets of fingerstalls. According to the utility model, a plurality of physiological sensors are integrated, a plurality of physiological signals including heart rate, pulse, oxyhemoglobin saturation, skin temperature and skin electricity, voice, face and the like can be synchronously acquired, and data are processed and analyzed through an advanced algorithm, so that the accurate assessment of the psychological state of an individual is realized.

The invention discloses a cardiopulmonary function rehabilitation chair for middle-aged and elderly people, belongs to the technical field of rehabilitation chairs, and aims to solve the problems that a preset heart rate range is inconvenient to modify in real time according to actual conditions, and anxiety of a patient is possibly caused by frequent alarming, The cardiopulmonary function rehabilitation chair comprises a rehabilitation chair main body, a pulse sensor, a controller, a buzzer, an adjusting module and a control switch, the pulse sensor, the controller, the buzzer, the adjusting module and the control switch are all arranged on one side of the rehabilitation chair body, the pulse sensor, the controller, the buzzer, the adjusting module and the control switch are electrically connected, and threshold data of newly-added exercise time of a patient is written into a storage unit of the controller through the adjusting module. Therefore, the preset range in the controller can be modified in real time, the preset range of the heart rate can be modified in real time according to the actual condition, and the training amount can be increased by fully utilizing the period when the body state is good.

The invention relates to a music drama rehearsal multi-parameter backtracking analysis system and method, and belongs to the technical field of music drama rehearsal, the system comprises a rehearsal hall body, a data acquisition module, a topological feature extraction module, a multi-view fusion analysis module, a performance optimization module, a redisk database and a redisk engine, acoustic data, facial expression data, breathing data and action data of actors are collected through a sound field array microphone, an infrared marking camera, a pulse sensor and an all-dimensional camera array; constructing a performance feature space and a performance state manifold by using a topological data analysis technology, and extracting persistent topological features; performing consistency analysis on the topological characteristics of the multiple visual angles, and selecting an optimal visual angle combination; based on a performance quality evaluation model, an optimization path from a current performance state to a target state is calculated, a key breakthrough point is identified, special practice is designed, and the method realizes all-around, multi-dimensional and precise analysis and guidance of the music drama rehearsal process.

The invention provides an intelligent axillary crutch device, relates to the technical field of medical rehabilitation equipment, and solves the problem that traditional axillary crutches can only provide mechanical support and cannot perform quantitative monitoring and datamation management on rehabilitation indexes. The device comprises a walking stick body, and a chip module assembly integrating a central processing module and a wireless communication module is arranged in a waterproof cavity below an armpit support; a data acquisition module is arranged at the side pipe, the grip and the base and comprises a pressure sensor, a motion sensing assembly and a heart rate and pulse sensor. The data acquisition module acquires multi-dimensional motion parameters, the multi-dimensional motion parameters are processed into structured rehabilitation data through an algorithm of the central processing module, the structured rehabilitation data are transmitted to the terminal in real time through the wireless communication module, breakpoint resume is supported, quantitative monitoring and datamation management of rehabilitation indexes are achieved, accurate rehabilitation requirements are met, and meanwhile data support is provided for clinical research.

The utility model discloses a kind of electric leakage detection early warning ground nails, comprising: metal rod and detector on the metal rod, the detector includes shell, pulse sensor, main control unit, detection switch and alarm, the shell is insulating shell and is connected with the metal rod, the detection switch is equipped on the shell, the shell inside encapsulation has the pulse sensor, main control unit and alarm, wherein, the pulse sensor is connected with the metal rod, the detection switch, alarm and pulse sensor are connected with the main control unit. The device can be inserted in the ground at the side of street lamp, power distribution cabinet and other equipment needing to detect whether leakage, when these equipment appears leakage, electromagnetic pulse generated by alternating current can be detected by pulse sensor, after pulse sensor transmits signal to main control unit, main control unit can control alarm to alarm, can directly remind passing personnel to pay attention to leakage danger.

The present application provides a method and apparatus for acquiring a three-dimensional pulse image of a user, comprising: acquiring multiple sets of pulse signals corresponding to the user, collected by a corresponding matrix pulse sensor, wherein the matrix pulse sensor is positioned on the user's wrist and includes at least one longitudinal acquisition sequence; determining multiple sets of pulse intensity curves corresponding to the multiple sets of pulse signals based on at least one column of pulse intensity information in each set of pulse signals, wherein each set of pulse intensity curves includes at least one pulse intensity curve corresponding to the at least one column of pulse intensity information; and determining a three-dimensional pulse image of the user based on the multiple sets of pulse intensity curves. This application presents the invisible pulse with a vivid and intuitive three-dimensional image, assisting traditional Chinese medicine practitioners in performing physiological and pathological analysis of the user, improving the accuracy and efficiency of pulse diagnosis.

The application provides a force control feedback and data cooperation method and system for body robot pulse collection, which divides the pulse collection process into a contact establishment stage, a signal stabilization stage and a continuous collection stage in sequence, and presets different force control feedback strategies for each stage; in the signal stabilization stage, the contact force signal between the robot end and the human body and the pulse signal collected by the pulse sensor are collected in real time; at least one pulse signal stability index is extracted from the pulse signal; when the pulse signal stability index continuously maintains in the target stability range within a preset time length, it is determined to enter the continuous collection stage; through the phased force control strategy and the feedback mechanism based on the signal quality, the accuracy, stability and reliability of the pulse collection are significantly improved, and the problems of the force control feedback not being associated with the signal quality, ignoring the phased characteristics and lacking disturbance compensation in the prior art are solved.

Edema tracking device comprehensive: - an integrated connectivity gateway for connecting to devices such as intravenous pumps, ventilators, beds and other patient monitors, - Automatic usage modes that allow measurement at set time intervals when connected, and manual usage modes that allow the person to perform a (single) measurement by manual adjustment when requested, - an interface with a touch-sensitive screen on which patient data can be entered, for use by people of all ages, - a wireless network protocol that enables connection with other medical products, - a battery that allows external use, - a microprocessor with software to keep data records of the measurements taken, to calculate the chronological age of healthy / sick persons by entering gender, day / month / year once (thanks to its program), to measure height, weight, head circumference in babies under 18 months, to measure and record BMI (Body Mass Index), mid-arm circumference, waist circumference, to record the medical history of healthy / sick persons, to record whether sick persons regularly use drugs or not and to record when they do use them, - a measuring tape indicator coated with natural rubber that does not cause allergies in babies / people sensitive to skin contact and which features an oxygen sensor, a blood pressure sensor and a pulse sensor, - a length measuring sensor that measures the drawn length of the measuring tape display with millimeter accuracy and is located at the exit of the slot in which the measuring tape display is located.

The utility model discloses a bearing impact pulse sensor sealing assembly and a pulse sensor with the same. The sealing assembly comprises a sensor mounting seat, an O-shaped sealing ring I is embedded in the upper part of the sensor mounting seat, the bottom of the sensor mounting seat is provided with a bulge contacted with the surface of the bearing, and a threaded hole is formed in the middle of the sensor mounting seat and is used for fixedly attaching the impact pulse sensor to the sensor mounting seat; through holes are formed in the periphery of the sensor mounting seat and connected with the bottom of the main body assembly through fixing bolts; the interior of the main body assembly is hollow and is used for arranging the impact pulse sensor, two circles of grooves are formed in the outer wall of the middle section of the main body assembly, O-shaped sealing rings II are arranged in the grooves, and a welding flange is arranged on the outer wall of the main body assembly in a sleeving manner and is sealed with the main body assembly through the O-shaped sealing rings II. According to the utility model, the impact pulse sensor achieves the effects of water resistance and oil immersion resistance.

The application provides an AI mental health monitoring method and device based on traditional Chinese medicine data and electronic equipment, and relates to the field of monitoring. The method comprises the following steps: collecting pulse data of a user through a pulse sensor, and collecting electroencephalogram data of the user through an electroencephalogram collector; in response to at least two kinds of real-time change data in 3D dynamic model, pulse data and electroencephalogram data meeting specified psychological emotional fluctuation phenomenon data, judging whether the interval of the change occurrence time corresponding to the at least two kinds of real-time change data is less than a specified time interval, if the interval is less than the specified time interval, determining the surrounding environment voice content and the surrounding environment image content corresponding to the change occurrence time from the surrounding environment video, analyzing the psychological stimulation point object of the user based on the surrounding environment voice content and the surrounding environment image content through an AI system, and generating a mental health monitoring strategy for the user according to a plurality of psychological stimulation point objects.

Provided is a blood pressure measurement apparatus, comprising: a housing (100), a signal processor, a plurality of electrocardiographic electrodes, and a pulse sensor assembly (200). The signal processor is located in an accommodation space. At least some of the electrocardiographic electrodes are located outside the housing (100), and the plurality of electrocardiographic electrodes are configured for acquiring electrocardiographic signals of different parts of a human body. At least a part of the pulse sensor assembly (200) is located outside the housing (100) and is configured for acquiring a pulse signal of the human body. The electrocardiographic electrodes and the pulse sensor assembly (200) are each electrically connected to the signal processor. The signal processor is configured for determining a blood pressure value according to the pulse signal and the electrocardiographic signals. The blood pressure measurement apparatus can calculate the blood pressure of a human body by means of the acquired pulse signal and electrocardiographic signals.

The invention relates to the field of intelligent driving and auxiliary driving systems, in particular to a driver state monitoring incremental learning test method and system. According to the method, multi-modal physiological signals are collected through the eye tracker, the pulse sensor and the electrocardio sensor, features are extracted through the convolutional neural network and the long-short-term memory network, information is fused through an attention mechanism, a model is trained under a federated learning framework, incremental learning updating is achieved, and the adaptability of the model is improved. The robustness of the model is tested by generating an adversarial sample and extreme scene data, and high accuracy is ensured. The system makes significant breakthrough in the aspects of privacy protection, real-time performance and the like, and a comprehensive evaluation report shows excellent performance. The method not only solves the problems in the prior art, but also opens up a new research direction for the field of intelligent driving safety, and has wide application prospects.

The utility model relates to flowmeter technical field especially relates to a kind of high-precision liquid flow metering device based on screw drive, it include: barrel, first connecting flange, second connecting flange, bearing end cover, first screw rotor, second screw rotor, counting code disc, pulse sensor;Wherein, the barrel inside hollow, the first connecting flange is arranged in one end of the barrel, the second connecting flange is arranged in the other end of the barrel, the first screw rotor with the second screw rotor is arranged in the barrel inside and the tooth surface of the first screw rotor with the tooth surface of the second screw rotor is mutually engaged, the first screw rotor is close to the second connecting flange and the end of counting code disc is set, the pulse sensor with the lateral surface of the barrel is screw connection, the bearing end cover is arranged between the first connecting flange and the barrel.The utility model improves the measurement accuracy.

The application relates to a photoelectricity-assisted complex shearing path fracture test fixture and a detection method, which comprises a motion unit, a clamping unit and a data detection unit; the motion unit comprises a motion cover plate and a fixed cover plate, both of which are fixedly connected with a testing machine, and the clamping unit and the data detection unit are fixed on the motion unit; the clamping unit comprises a motion back plate and a fixed back plate, and the whole structure is symmetrically distributed in the middle part of the motion unit; the data detection unit comprises a pulse sensor and an industrial camera, and the whole structure is distributed on both sides of the motion unit and is fixedly connected with the lower end of the motion unit. The bidirectional clamping is realized through the combined design of the back plate and the cover plate, the fastening force of the test piece is stronger, the photoelectricity-assisted detection method is adopted, the strain path of the complex shearing path fracture can be obtained, the detection precision is improved, the accurate prediction of the damage and unstable fracture behavior is realized, and the method has the functions of high reliability, high efficiency, powerful function and convenient operation.