1255 results about "Vibration detection" patented technology

Various systems and methods are directed to an electro-mechanical dice shaker gaming system designed to enhance fairness, transparency, and security in wager-based gaming environments. The system includes an electro-mechanical random number generator (RNG) assembly that physically isolates the dice shaking mechanism from the player terminal, preventing external interference from affecting game outcomes. The dice shaker mechanism is housed in a transparent enclosure, allowing players and casino operators to visually verify each roll. Integrated sensors, including tilt and vibration detectors, monitor environmental conditions to detect and prevent tampering. A camera-based monitoring system captures images of each dice roll, facilitating automated outcome verification and compliance auditing. The system supports modular configurations for multi-player gaming, real-time streaming for remote participation, and AI-driven fraud detection. Additionally, an adjustable mirror enhances dice visibility, and automated mechanisms allow dynamic control over the number of dice in play, offering a scalable and secure gaming solution.

The invention relates to the technical field of rolling technology and equipment detection, in particular to a method, a system and equipment for detecting deviation of a roll gap of a rolling mill, and the method comprises the steps: constructing a vibration detection center line parallel to a roll axis of a working roll according to a to-be-processed copper material, and according to the vibration detection center line, roller vibration characteristics are acquired by taking each working roller as a unit, a vibration characteristic matrix is generated according to the machining time of the corresponding working roller, and vibration deviation comparison is performed on the vibration characteristic matrix corresponding to each working roller by establishing a reference vibration deviation model, so that a roller gap deviation detection result is obtained. The problem that weak vibration changes under high-speed and high-load working conditions are difficult to capture in roll gap deviation is effectively solved, a reference vibration deviation model is established through dynamic monitoring and analysis based on vibration signals, efficient and accurate roll gap deviation detection is achieved, and the stability of the production process is guaranteed.

The invention relates to the technical field of automatic sorting of agricultural products, in particular to an egg quality intelligent sorting system and method based on multi-modal sensing. The system comprises a multi-mode sensing module, a data processing module and a sorting execution module. The multi-mode sensing module integrates a hyperspectral imaging unit, a voiceprint vibration detection unit and a weight sensing unit, and comprehensively collects egg surface images, vibration frequency and weight data; the data processing module analyzes the image data through deep learning and a data fusion algorithm to detect cracks and blood spots, and fuses multi-modal data to generate features to adapt to characteristic changes of different batches of eggs; the sorting execution module determines the sorting priority according to the fusion features and executes accurate sorting; the system utilizes the synergistic effect of the multi-mode sensing technology to comprehensively evaluate the internal and external quality of eggs, the detection precision is remarkably improved, efficient and intelligent egg sorting is realized, and the automatic sorting technology level of agricultural products is improved.

The invention relates to the technical field of ICT testing, in particular to an efficient online ICT intelligent testing device which comprises a machine table, a tester is fixedly mounted at the top of the machine table, an air cylinder is fixedly mounted at the top of the tester, a mounting seat is fixedly mounted at the output end of the air cylinder, and limiting rods which are symmetrically arranged in pairs are mounted in the tester. A limiting rod is arranged at the top end of the mounting seat, a test board slides on the outer wall of the limiting rod, an air pump is fixedly mounted at the bottom end of the test board, a clamping mechanism for fixing a circuit board is arranged at the top end of the test board, and a pressure detection mechanism for detecting the circuit board is arranged at the bottom end of the mounting seat. The air inlet speed is automatically adjusted through the thickness of the circuit board, the circuit board is protected, pseudo soldering spots are accurately positioned through the air cylinder, the probe and the displacement sensor, the air cylinder is used for driving components to move, the welding spots with cracks are detected through vibration, and the detection efficiency and reliability are improved.

The invention provides a high-dynamic deformation measurement system and method based on laser section contour differential scanning. The measurement system is composed of a section contour measurement unit, a calibration unit, an error compensation unit and a data processing unit, wherein the section contour measurement unit comprises a multi-sight-line structured light sensor module, a speed sensing module and a distance measurement module; the calibration unit comprises a synchronous control module, an adjustment module and a common tooth-shaped calibration target; the error compensation unit comprises a vibration detection module, a posture detection module and a temperature detection module; the data processing unit is a device with programming and computing functions. The measuring method comprises the following steps: (1) calibrating a laser plane and an image plane; (2) unifying a global coordinate system; (3) obtaining point cloud data; (4) error compensation; (5) constructing a deformation time-history model; and (6) carrying out maximum deformation global optimization. According to the measurement system and method, accurate expression and maximum value global optimization of a pavement micro-deformation three-dimensional space under the load effect can be realized.

The utility model relates to the field of wind driven generator spindles, in particular to a wind driven generator spindle with a vibration monitoring mechanism, which comprises a wind driven generator spindle body. The monitoring assembly is installed on the outer side of the wind driven generator main shaft body and used for vibration monitoring. According to the wind driven generator main shaft with the vibration monitoring mechanism, through the arrangement of the wind driven generator main shaft body and the monitoring assembly, the wind driven generator main shaft body can be monitored in real time in the rotating process, and compared with traditional manual regular detection, the wind driven generator main shaft is more convenient; the main shaft body of the wind driven generator is in contact with the rolling wheel in the movable seat in the rotating process, and when the main shaft body of the wind driven generator vibrates, the rolling wheel in the movable seat is extruded, so that the vibration sensor behind the movable seat senses the vibration pressure for monitoring; and meanwhile, the rear telescopic rod is telescopically buffered in the first lantern ring and the second lantern ring through the spring, so that vibration detection of the vibration sensor is facilitated, and damage caused by direct contact of the vibration sensor is also avoided.

The invention relates to the technical field of video recognition, in particular to a construction safety real-time high-precision detection method and system based on environmental characteristics. Arranging a plurality of sensors in a to-be-detected area to collect field environment data in real time; analyzing the illumination change of the to-be-detected area through the light and shadow analysis model, calculating a light-safety misjudgment index, and identifying a potential light misjudgment area; a visual processing model is utilized to analyze the worker video, human skeleton key points are recognized in real time, personnel behavior safety indexes are obtained, and potential dangerous behaviors are detected; detecting local wind speed and turbulence conditions and vibration and resonance phenomena of a to-be-detected area in real time through a local breeze and vibration detection model, and evaluating a local environment stability index; and the safety level of the to-be-detected area is calculated in real time by using the light-safety misjudgment index, the personnel behavior safety index and the local environment stability index, so that multi-dimensional and real-time construction safety risk assessment is realized.

Control system (1) comprising: a sensor (44) that detects an acceleration based on a vibration of a robot (3); an interpolator (222) that interpolates a plurality of sensor data sets detected by the sensor (44); and a data generator (223) that calculates a correlation coefficient based on a plurality of interpolation data sets interpolated by the interpolator (222), combines the plurality of interpolation data sets based on the correlation coefficient, and averages composite data with fine sampling intervals resulting from the combination of the plurality of interpolation data sets.

The utility model relates to the technical field of controller detection, and more specifically relates to a vibration detection device used for a controller, the vibration detection device comprises a vibration table and a clamp assembly, the clamp assembly is connected to the vibration table, the clamp assembly comprises a clamp base, a pressing mechanism, a linear driving mechanism and a test connecting plug, one end of the pressing mechanism is fixedly connected with the clamp base, the other end of the pressing mechanism is used for abutting against the controller so as to press the controller on the clamp base, and the fixed end of the linear driving mechanism is fixedly connected with the clamp base. And a moving end of the linear driving mechanism is fixedly connected with the test connecting plug and is used for driving the test connecting plug to be plugged with or separated from the controller. The linear driving mechanism is arranged to drive the test connecting plug to move, so that the test efficiency can be remarkably improved.

A hydraulic motor output shaft vibration detection device disclosed by the present invention is characterized in that a limiting piece and a driving piece are sequentially installed in a detection box from top to bottom, a memory pointer is installed on the limiting piece, a main pointer is installed on the driving piece, and a contact rod is installed at the lower end of the detection box in an up-down sliding manner; the upper end of the contact rod extends into the detection box and is connected with the driving part, a limiting structure used for limiting the limiting part is installed in the detection box, an unlocking part is installed on the surface of the rear side of the detection box, and the limiting structure is in sliding connection with the unlocking part. The memory pointer is connected with the limiting structure through the limiting piece, the main pointer can detect the corresponding amplitude when the output shaft of the hydraulic motor rotates in real time, the memory pointer can record the maximum amplitude when the output shaft of the hydraulic motor rotates, instant recording of the amplitude is facilitated, and a recorder can clearly see the current vibration value and the maximum peak value at a glance.

The invention provides a network card vibration detection method, device and equipment and a storage medium, and the method comprises the steps: deploying a plurality of groups of three-axis acceleration sensor arrays in different function regions of a network card, and collecting vibration data when the network card is not powered on; after the network card is powered on, the substrate management controller reads vibration data, vibration spectrum characteristics are extracted by using a time-frequency analysis method, and dangerous frequency components are identified in combination with server heat dissipation system characteristics and network card physical parameters; based on the vibration data and the danger frequency component, vibration source positioning and classification are carried out by combining electromagnetic characteristic changes before and after the network card is powered on, and a vibration threat level is determined; and selecting and executing corresponding protection measures according to the vibration source information and the real-time communication state of the network card. According to the method, the problems of a spectrum analysis blind area and vibration source recognition fuzziness are solved, and network card data and communication stability are effectively protected through targeted protection measures.

The parallel multi-channel numerical control machine tool with the workpiece vibration detection structure comprises a machine base, and the top of the machine base is connected with a working table top through an electric sliding rail; a bag body on the inner side of a hollow air ring is inflated and expanded through an air inlet pipe and then makes close contact with the surface of a workpiece to form flexible contact, vibration of the workpiece can extrude the bag body in the machining process, the bag body deforms to enable an inner side abutting plate to move, and an abutting rod gets close to a pressure sensor along with the abutting plate and generates pressure; meanwhile, atmospheric pressure fluctuation is released through the conical amplification cavity due to the volume change of the capsule, the sectional area of the conical amplification cavity is gradually reduced from the capsule to the hollow air ring, the atmospheric pressure fluctuation generated by the volume change of the capsule is amplified through the change of the sectional area, and the atmospheric pressure sensor captures the fluctuation and cooperates with the fiber grating sensor to swing along with the propping plate to generate strain; signals of the three types of sensors are synchronously transmitted to the controller, vibration parameters are output after analysis, meanwhile, interference of cutting fluid, scrap iron and the like can be isolated, and stable detection in a severe machining environment is ensured.

The invention relates to the technical field of garment quality inspection, in particular to an intelligent detection method based on textile fabric garment production quality, which comprises the following steps: determining that the garment production quality problem type has dominant defects, or determining whether the garment has hidden defects; performing vibration detection on the clothes to capture the vibration modes of the clothes in the plurality of detection grids, and determining whether the production quality problem type is a microscopic quality problem with hidden defects or not; a microscopic quality detection strategy is adopted when the clothes have hidden defects, a potential defect area is output for visual and tactile collaborative detection, a macroscopic quality detection strategy is adopted when the clothes have dominant defects, and a detection grid corresponding to the dominant defects is output to confirm the types of the dominant defects; and determining a detection mode of the visual and tactile collaboration device according to the detection condition, and adjusting the initial height and the moving speed of the visual and tactile collaboration device. According to the invention, visual and tactile collaborative detection is carried out on the textile fabric clothes, so that the accuracy of hidden defect identification is improved.

Disclosed are a vibration sensor, an electronic device and a vibration detection method. The vibration sensor comprises a circuit board assembly, a housing, a chip assembly, a vibration-pickup assembly and a through-hole. A back cavity is formed inside the circuit board assembly, the housing is mounted over the circuit board assembly, and the chip assembly is provided on a side of the circuit board assembly proximate to the housing and is electrically connected to the circuit board assembly. The vibration-pickup assembly is provided inside the cavity and dividing the cavity into a first cavity and a second cavity. The through-hole of the vibration sensor may be in communication with the back cavity and the second cavity.

The invention discloses a wind turbine generator blade vibration detection method based on an optical fiber echo wall mode singular point micro-cavity model, and relates to the field of wind turbine generator detection, and the method comprises the steps: carrying out the external vibration response of a detection position of a wind turbine generator blade, obtaining a micro-cavity response signal, measuring the mode splitting value of a micro-cavity based on the micro-cavity response signal, and calculating the mode splitting value of the micro-cavity. Determining vibration data of the wind turbine generator blades; constructing a three-dimensional model of the wind turbine generator blade, extracting modal parameters from the vibration data by using a random space method, and obtaining a vibration damage result of the wind turbine generator blade based on the modal parameters and the three-dimensional model; and performing fusion processing on the vibration data according to the combination of the on-site environment data of the wind turbine generator and the dynamic correction, determining a state estimation value of the wind turbine generator blade, and generating a vibration detection result of the wind turbine generator blade based on the state estimation value. The method achieves the accurate measurement of the weak vibration in a complex environment, and plays a key role in the operation detection and fault prediction of a wind driven generator.

The invention relates to the technical field of bearing vibration detection, in particular to a vibration detection device based on artificial intelligence, which comprises a detection table, a control panel, a detection mechanism, a driving mechanism, a feeding and discharging mechanism and a mounting mechanism, and is characterized in that the control panel is fixedly mounted on the detection table, and the detection mechanism is fixedly mounted on the detection table; the detection mechanism is used for detecting the bearing, the driving mechanism is used for driving the mounting mechanism to move, the mounting mechanism is fixedly mounted on the detection table and used for fixing the bearing, and the feeding and discharging mechanism is fixedly mounted on the detection table and used for feeding and discharging the bearing. According to the vibration detection device based on artificial intelligence, through arrangement of the feeding and discharging mechanism and the conveying mechanism, the moving block can sequentially drive the multiple different mounting blocks and the bearing table to move, the working efficiency and the using effect of the vibration detection device are improved, and the production and maintenance efficiency of new energy automobiles is improved.

The invention belongs to the field of computer vision, relates to a rockfall monitoring method and system based on visual identification, and aims to solve the technical problems that an existing scheme is difficult to achieve good balance among reliability, accuracy and economy and is poor in application effect. The method comprises the following steps: acquiring video stream data and vibration waveform data of a target area; monitoring according to the vibration waveform data, and when the vibration energy exceeds a preset first threshold value, generating a primary vibration event trigger and extracting video data slices from the video stream data; inputting the video data slices into a target detection network to identify candidate moving targets in the video frames and extract kinematic features; performing spectral analysis on the vibration waveform data to determine a comprehensive confidence coefficient; and counting the number of candidate targets of which the comprehensive confidence exceeds a threshold value in a specific time window, and determining a current rockfall risk level. Based on the method, video detection and vibration detection are combined, and the actual application effect is better.

The invention relates to an observation device and method for simulating GIS equipment switch action metal particle motion, the device comprises a GIS simulation cavity, a vibration applying mechanism and a particle observation mechanism, the vibration applying mechanism applies mechanical vibration to the GIS simulation cavity; the particle observation mechanism collects the motion trail of the metal particles in real time. According to the device, the vibration of a shell is actually measured by means of a vibration detection mechanism when GIS equipment is switched on and off, mechanical vibration and transient overvoltage conditions generated by the GIS equipment switching on and off operation are equivalently simulated by means of a vibration applying mechanism and a voltage applying mechanism, and the movement conditions of sunken metal particles are recorded in the whole process by means of a particle observation mechanism. Furthermore, the influence of the GIS equipment vibration parameters on metal particle escape is quantitatively analyzed, the influence mechanism of the GIS equipment switch operation on the sinking particle escape phenomenon is obtained, and an important research basis and data support are provided for an optimization scheme for suppressing sinking particle movement under the GIS equipment switch operation.

The utility model discloses a vibration detection instrument placing rack, relates to the vibration detection instrument technology field, and comprises a hand-held vibration detection instrument, a support, a fixing structure and a spacing structure, the support comprises a magnetic attraction seat and a support frame arranged on the surface of the magnetic attraction seat, the support frame is composed of a first connecting rod, a second connecting rod arranged on the upper end of the first connecting rod, and a second connecting rod arranged on the upper end of the second connecting rod; the adjusting connecting rod is arranged at the lower end of the second connecting rod; and the first connecting rod comprises a first mounting ring fixedly mounted on the front surface of the magnetic attraction seat. By arranging the bracket, the fixing structure and the limiting structure, compared with the prior art, when the periphery of the to-be-tested equipment is made of a non-magnetic metal material, the device can be attracted to other positions (the positions are made of the magnetic metal material) on the equipment by utilizing the magnetic attraction seat; and then the handheld vibration detector is attached to the periphery of the to-be-detected equipment by using the bracket with the adjustable angle and position, so that the handheld detection by an operator is not needed, and the detection accuracy is improved.

The ultralow frequency sensor comprises a vibration detection unit, a power supply voltage stabilization unit and a signal conditioning unit, the power supply voltage stabilization unit is provided with a low dropout linear voltage regulator U20, a voltage converter U19 and a negative voltage regulator U21, and the low dropout linear voltage regulator U20 stabilizes an external power supply as a positive power supply VCC; the voltage converter U19 is used for converting positive voltage of an external power supply into negative voltage and outputting stable negative power supply VEE through the negative voltage stabilizer; the positive power supply VCC and the negative power supply VEE supply power to the signal conditioning unit; the signal conditioning unit comprises a high common mode rejection differential amplifier, a differential-to-single-ended amplifier, a band-pass filter and a differential output driver, a differential signal output by the vibration detection unit sequentially passes through the high common mode rejection differential amplifier, the differential-to-single-ended amplifier, the band-pass filter and the differential output driver, and then a differential voltage signal is output; the method has the advantages of high stability and reliability and the like.

The utility model relates to the technical field of metal hose vibration damping performance testing, and particularly discloses a metal hose vibration damping performance testing device which comprises a workbench, the surface of the workbench is fixedly connected with a first fixing plate, and the surface of the workbench is fixedly connected with a second fixing plate. A plurality of fixing rods are fixedly connected to the sides, close to each other, of the first fixing plate and the second fixing plate, adjusting plates are slidably connected to the surfaces of the fixing rods, mounting connectors are fixedly connected to the sides, close to each other, of the adjusting plates and the first fixing plate, and vibration detectors are mounted on the surfaces of the mounting connectors; metal hose bodies are mounted on the surfaces of the two mounting connectors, a moving motor is fixedly connected to the surface of the workbench, the output end of the moving motor is sleeved with a conveying belt, and two adjusting pull rods slidably penetrate through the surface of the second fixing plate. According to the utility model, the problem that the adjustment is not accurate enough due to manual adjustment and the fine adjustment needs to be carried out for many times is solved.

The invention relates to the technical field of textile equipment testing, in particular to a yarn textile high-speed spindle operation stability testing method and system, and the method comprises the following steps: S1, testing element layout; s2, initializing the system; s3, carrying out transient test; s4, testing a steady state; s5, interference processing: carrying out spectrum analysis on the originally acquired data, identifying interference frequency characteristics, eliminating interference by adopting a notch filtering and Kalman filtering combined method, and verifying a filtering effect; s6, parameter correlation modeling: constructing a vibration-temperature-tension-rotating speed parameter correlation model by adopting a control variable method, solving model parameters through a fitting algorithm and verifying validity; s7, quality tracing; s8, stability judgment; and S9, performing real-time monitoring and regulation. According to the method, a combined filtering scheme of notch filtering and Kalman filtering is adopted, fixed interference and random interference such as power frequency and mechanical resonance are suppressed in a targeted manner, and through comparison of locally amplified signals, the filtered signals are smooth in waveform and thorough in noise removal, and the signal-to-noise ratio and reliability of vibration detection signals are improved.

A security product complete machine test tool disclosed by the present invention comprises a bottom plate, a detection frame is fixedly arranged at the top of the bottom plate, and a vibration detection mechanism used for simulating random vibration scenes such as product bumping and crowd shaking on a complete machine is fixedly arranged in the detection frame. Motion detection mechanisms used for simulating complex motion trails are fixedly arranged on the two sides of the outer wall of the detection frame, limiting frames are fixedly arranged on the two sides of the top of the bottom plate, and impact endurance detection mechanisms used for simulating the endurance of products to different impact strengths are slidably arranged in the limiting frames. And an extrusion force detection mechanism for simulating a non-uniform extrusion scene is further arranged in the limiting frame in a sliding manner. According to the device, the multiple detection mechanisms are arranged, so that the defense force of the whole machine can be detected, and meanwhile, the using effects of the whole machine in different environments such as vibration, extrusion and treading environments are simulated.

A bridge vortex vibration detection method based on IMU and GNSS fusion positioning includes: first, collecting inertial measurement unit data, inputting it into a prediction module and calculating a double integral to generate a temporary displacement; then, performing bridge vortex-induced vibration (VIV) detection, and determining the occurrence of VIV by identifying harmonic motion and amplitude detection; if it is determined that there is a possibility of VIV vibration, the update module starts the GNSS module controller in the GNSS-RTK to activate the GNSS receiver and obtain GNSS-RTK data and multipath data; finally, after the update module receives the GNSS-RTK data and GNSS data quality, the GNSS and IMU data are fused through a Kalman filter; wherein the fused data is temporarily cached in the temporary displacement, realizing real-time monitoring of bridge vibration and VIV, and calibrating it when necessary to ensure the accuracy and reliability of the data. The present invention achieves a stable VIV detection rate while maintaining low power consumption, providing comprehensive protection for the safety and stability of the bridge structure.

The invention relates to the technical field of iron tower detection, in particular to a method for detecting hidden defects of an iron tower based on vibration acceleration, and the method comprises the steps: building a finite element simulation model of a power transmission tower, carrying out the comparative analysis of modal and vibration response before and after damage, and determining a preliminary point distribution position; performing iron tower damage and health state vibration detection experiments on the experimental power transmission tower, setting damage points, arranging vibration acceleration sensors according to initial point distribution positions, applying unit load, drawing a frequency response curve according to data acquired by the sensors, and analyzing the frequency response curve; and if the analysis result does not meet the requirement on the accuracy of identifying the hidden defect of the power transmission tower, adjusting the point distribution position to obtain a final point distribution position. According to the method, efficient and accurate recognition of the hidden defects of the iron tower is achieved, remote monitoring can be conducted, safety, economical efficiency and operability are achieved, the use cost is lower, reliable technical support is provided for intelligent monitoring of electric power facilities, and the obvious engineering application value is achieved.

The invention belongs to the technical field of wind turbine generator operation and maintenance, and particularly relates to a wind turbine generator vibration detection device which comprises a base. A vibration detection unit including a vibration sensor; the energy collecting part comprises a multi-order cantilever beam array and an energy storage capacitor, and a piezoelectric plate is arranged on the multi-order cantilever beam array and used for converting mechanical vibration energy into electric energy; the rectifying part is used for converting the alternating current output by the piezoelectric plate into one-way current; through the integrated design of broadband energy harvesting, mechanical rectification and self-energized monitoring, full-scene vibration detection of key components of the wind turbine generator is realized, and the problems that an existing device is dependent on power supply, narrow in frequency band adaptation and poor in reliability in a severe environment are solved. Vibration detection, energy collection and rectification are highly coordinated in spatial layout, mechanical transmission and energy flow direction, and are physically isolated from a power supply circuit, so that the performance is improved, mutual interference is avoided, and real high-integration and high-reliability self-energized detection is realized.

The invention relates to the technical field of high-temperature vibration monitoring, and provides a novel compression type structure sensor aiming at the problems of sensitivity attenuation and insufficient thermal stability of a traditional piezoelectric sensor under the working condition of 200-300 DEG C. According to the device, monolithic PZT piezoelectric ceramic is adopted as a sensitive element, and the depolarization temperature is increased to 302 DEG C through a double-doping technology, which is obviously superior to that of similar materials. According to the structural design, the laminated layout of the lower pressing block, the mass block, the insulating sheet, the piezoelectric ceramic and the base is adopted, the insulating sheet is provided with a reserved circular groove and a wiring notch, and efficient lead-out of an electrode wire is achieved. Tests show that the sensor is low in charge sensitivity attenuation in an environment of 300 DEG C and high in inherent frequency. Through single-chip design and material modification, high-sensitivity vibration detection in a high-temperature environment is realized while the preparation process is simplified, and the sensor can be widely applied to the fields of aero-engine monitoring, new energy automobile thermal management and the like.

The invention provides a recessive gastroesophageal reflux event data analysis system and method based on dynamic changes of abdominal pressure. The system and method are suitable for noninvasive detection of atypical reflux clinically. The system comprises an abdominal pressure dynamic detection unit, a throat vibration detection unit, a multi-mode signal processing module, a reflux event judgment module and a data output module. According to the system, by analyzing time sequence linkage between abdominal pressure mutation and throat vibration, a stomach content countercurrent event is recognized, silent type countercurrent characteristic sound is captured with the assistance of a bone conduction sound wave channel, and multi-path redundancy recognition is achieved. The method is suitable for postoperative patients, children, old people and other people who cannot complain, has the technical advantages of continuous wearing, behavior correlation analysis and clinical verifiability, and significantly improves the recognition rate and diagnosis accuracy of recessive gastroesophageal reflux events.

An audio system including an optical microphone and an audio controller. The optical microphone includes a light source and a detector. In some embodiments, the light source illuminates skin of a user. Alternatively the optical microphone also includes a membrane, and the light source illuminates a portion of the membrane. Sounds from a local area cause vibrations in the skin (or vibrations in the membrane). The detector may be in an interferometric configuration or a non-interferometric configuration with the light source. The audio controller monitors the vibrations of the skin (or membrane) using signal output from the detector, and measures the sounds using the monitored vibrations.

The invention relates to the technical field of dynamic balance testing, in particular to an inclined vibration balance testing system and method for a 4D platform seat, and the system comprises a vibration detection system, a bolt, an elastic ball, a fixing assembly, a fixing plate, an anti-falling assembly, and a sliding wire plate. The vibration detection system comprises a rack, a vibration controller and a vibration platform, and the vibration platform is provided with a segmented spiral groove and a working cavity; clamping grooves are formed in the bottom ends of the bolts; the elastic ball is placed at the bottom end of the working cavity, a fixing assembly is arranged above the elastic ball, a fixing plate is arranged on the fixing assembly, and the elastic ball drives the fixing plate to slide into the clamping groove to lock the bolt through the fixing assembly; a screw groove is formed in the fixing assembly, an anti-falling assembly is arranged above the fixing assembly, a thread sliding plate is arranged on the inner side of the circumference of the anti-falling assembly, an arc-shaped groove matched with the screw groove is formed in the thread sliding plate, and the fixing assembly drives the thread sliding plate to be separated from the screw groove through the anti-falling assembly. And the stability of the detection effect is ensured.