960 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 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 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 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 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 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.

The invention discloses a vibration detection method for constructing an edge calculation model based on Simulink physical modeling, and the method comprises the steps: constructing a multi-degree-of-freedom vibration model through Simulink, dynamically adjusting the quality, rigidity, a damping matrix, temperature and load parameters, simulating the vibration characteristics of a complex working condition, and fusing simulation and actual measurement data to generate a training set; the model is converted into an edge available format and compressed to be within 100 KB, and edge hardware is adapted; carrying out joint training and online updating on edge nodes by utilizing transfer learning and the like; and the vibration signals are classified in real time through a lightweight model. According to the method, the problems of fixed model parameters, insufficient data fusion and poor edge adaptability in the traditional technology are solved, accurate simulation of the vibration characteristics of the industrial equipment, efficient data utilization and low-delay detection of the edge end are realized, the vibration detection precision and real-time performance are improved, and the method is suitable for fault diagnosis and predictive maintenance of the industrial equipment.

The invention relates to a method and a system for adaptively adjusting vibration compensation of an unmanned aerial vehicle based on a multi-band IMU (Inertial Measurement Unit), and the method comprises the steps: W1, in the process that the unmanned aerial vehicle executes a flight task, cooperatively collecting data information of vibration signals of an unmanned aerial vehicle structure based on a plurality of airborne vibration detection IMU arrays, and constructing an unmanned aerial vehicle vibration spectrum analysis model, and calculating the body dominant vibration frequency of the unmanned aerial vehicle to obtain the data information of the body dominant vibration frequency of the unmanned aerial vehicle, and optimizing the acceleration and angular velocity of the unmanned aerial vehicle by adopting an improved weighted average optimization algorithm based on dynamic fusion weight to obtain the optimized data information of the acceleration and angular velocity of the unmanned aerial vehicle. According to the method, the problem of measurement distortion of a single IMU in a resonance frequency band is effectively avoided, it is ensured that high-fidelity inertial data can be output under all working conditions such as low-frequency maneuvering, intermediate-frequency cruising and high-frequency disturbance, and the method can be deployed on a mainstream unmanned aerial vehicle platform and has good popularization value.

The invention discloses a phi-OTDR vibration demodulation method based on double-segment average phase difference, belongs to the technical field of optical fiber sensing vibration demodulation, and solves the problems that in the prior art, phase demodulation is greatly influenced by phase noise such as laser frequency drift, the phase extraction precision and the signal-to-noise ratio are low due to random fluctuation of a phase curve, and the signal-to-noise ratio is low. And phase solving errors are easily caused by interference fading points. According to the method, through band-pass filtering, moving differential positioning, I / Q demodulation after reference point selection, unwinding, mean value removal and calculation of the average phase difference of two segments, the phase variation corresponding to vibration is extracted, and the demodulation precision is improved. Through the two-segment average phase difference method, the influence of phase noise and interference fading is suppressed, and the signal-to-noise ratio and stability of phase demodulation are improved; the frequency modulation pulse is replaced to break through restrictions of spatial resolution and sensing distance, high sidelobe suppression can be realized without windowing the NLFM pulse, the signal-to-noise ratio is not damaged, and the vibration detection positioning accuracy is improved.

The invention discloses a cold atom interference type low-frequency vibration measurement device and a measurement method, and solves the problems that the existing cold atom interference gravimeter measurement equipment is limited by the performance of a vibration sensor, the compensation precision is insufficient, timing calibration is needed, and the measurement precision is low. And measurement errors generated by gravity and ultralow-frequency vibration cannot be effectively separated from a measurement result of the cold atom interference gravimeter, namely, decoupling of two measurement parameters is realized, and cold atom interference measurement of low-frequency vibration is realized. The measuring device comprises a Raman laser output system, a vacuum cavity, a sensitive axis converter and a vibration detection reflecting mirror, the Raman laser output system outputs two pieces of Raman laser which have the same polarization state and are both circular polarization states; the low-frequency vibration is transmitted to the liquid crystal phase modulator through the vacuum cavity for polarization state conversion, and then is reflected to the liquid crystal phase modulator or the vibration detection reflector through the polarization splitting prism, so that the interference type low-frequency vibration of the cold atoms is measured, and decoupling of the two is realized.

The invention discloses a multi-mode tactile sensor based on cross-shaped array design, the sensor is provided with five sensing units which are arranged in a cross-shaped array form, and each sensing unit is composed of a stress loading layer, a piezoelectric sensing layer, an isolation layer, a piezoresistive sensing layer and an electrode layer. The area of a perceptible region of the sensor is increased due to array type distribution, and the spatial resolution of the sensor is improved. Wherein the piezoresistive sensing layer and the piezoelectric sensing layer respectively simulate the characteristics that an SA receptor in human skin senses low-frequency pressure and an FA receptor senses dynamic vibration. The piezoresistive sensing unit and the electrode unit form a planar resistance structure, so that the sensor is sensitive to the direction of a loading force, and the design can be used for representing the magnitude and direction of the loading force, thereby realizing three-dimensional static force detection. The piezoelectric sensing unit utilizes the direct piezoelectric effect of a PVDF piezoelectric film to realize tiny vibration detection and is used for representing high-frequency vibration when the piezoelectric sensing unit is in contact with an object.

An acoustic sensor is configured to be attached to a cover member covering an outer circumferential portion of a tire of a vehicle and measure information related to sound vibrations. The acoustic sensor includes a sensor support, a facing surface, and a vibration detector. The sensor support is attached to a cover outer surface of the cover member. The cover member has a curved plate portion extending in a circumferential direction of the tire. The cover outer surface is one surface of the curved plate portion that faces away from the tire. The facing surface faces the cover outer surface to receive the sound vibrations of the cover outer surface when the sensor support is attached to the cover outer surface. The vibration detector is configured to detect the sound vibrations that are received by the facing surface.

The utility model discloses a vibration table for switching power supply detection, which belongs to the technical field of switching power supply detection and comprises a table seat, a vibration detection table and a storage table, four corner end parts of the top surface of the table seat and four corner end parts of the bottom surface of the vibration detection table are respectively and fixedly connected with a connecting seat, and a fixing mechanism is arranged on the storage table. After a to-be-detected switching power supply is placed in the storage groove, a knob on the outer wall of a concave plate is rotated, and the knob drives a screw rod to rotate through a rotating rod, so that a movable plate moves towards the storage table along the screw rod through a nut, a push rod enters the storage groove through a through hole in the moving process, and the switching power supply in the storage groove is pushed through a push plate; and the switch power supply is pressed against and fixed in the object placing groove, so that the problems that the switch power supply collides with the inner wall of the object placing groove and is vibrated out of the object placing groove to fall onto the ground to be damaged in the vibration detection process can be effectively avoided, and the normal detection of the switch power supply is ensured.

The invention provides a resonant bionic cilia vector hydrophone based on a quartz tuning fork and an underwater acoustic system, and relates to the technical field of micro-mechanical electronics. A vibration detection mechanism in the hydrophone comprises two quartz tuning forks located in a first axial direction and two quartz tuning forks located in a second axial direction, the first axial direction is perpendicular to the second axial direction, one end of each quartz tuning fork is fixed, and the other end of each quartz tuning fork is connected with a vibration acquisition mechanism; and the vibration acquisition mechanism is connected with the quartz tuning forks and is used for driving the two quartz tuning forks in the same axial direction to generate symmetrical frequency deviation under the action of sound waves. According to the embodiment of the invention, the excellent frequency stability and strain sensitivity of the double-end fixed tuning fork can be utilized to realize efficient conversion of sound signals and generation of corresponding electric signals, digital signal output can be conveniently realized, high-sensitivity detection of the sound signals can be effectively realized, the influence of common-mode signals can be inhibited, the anti-interference performance is good, and the detection precision is high. And the underwater sound detection effect is greatly improved.

The invention relates to the technical field of display screen detection, in particular to a visual detection device for brightness uniformity of a display screen. Comprising a rack, a transmission system installed on the rack and a rotating frame rotating intermittently, a feeding and discharging station, a vibration detection station, a shaking detection station and a pressing detection station are arranged on the rack in the clockwise direction, and four screen clamping systems are arranged on the rotating frame. The screen clamping system comprises a cradle, a transmission wheel rotationally connected to the rotating frame, a vibration detection frame slidably connected to the rotating frame and a rack plate installed on the vibration detection frame, three sector tooth sections and three empty tooth parts are alternately arranged on the transmission wheel, the three sector tooth sections are alternately meshed with the rack plate, and the central angles of the sector tooth sections are different from one another. The device has the beneficial effects that aiming at the problem that a traditional detection device cannot simulate composite working conditions of vibration, swing and pressing and causes missing detection of hidden defects, a collaborative link of defect pre-excitation, full-dimensional capture and dynamic verification is constructed through a three-station linkage design of vibration detection, shaking detection and pressing.

The invention discloses a feeding control system and method for roller parts. The feeding control system comprises a flexible vibration unit, a visual feedback unit, a four-axis self-adaptive transfer device, a dynamic sensing module and an intelligent decision center. The flexible vibration unit adjusts the poses of the roller parts through multi-frequency composite vibration, and the visual feedback unit recognizes the poses of the parts in the positioning grooves and generates a transfer grabbing instruction; and the transfer device executes adsorption carrying operation. The dynamic sensing module monitors material characteristics, vibration states, environmental parameters and groove shape data in real time, and the intelligent decision center constructs a positioning interference prediction model and outputs a repair instruction. The system forms a closed-loop process of vibration, detection, decision making and repairing, and high-precision and stable feeding of roller parts is achieved. The method has good self-adaptive regulation and control capability and positioning precision, and is suitable for intelligent manufacturing scenes in complex environments.

The invention discloses a bridge structure detection, evaluation and prediction method based on air-wall amphibious unmanned aerial vehicle carried machine vision and an intelligent algorithm, and the method comprises the steps: 1, putting an air-wall amphibious unmanned aerial vehicle into a to-be-detected structure region, and carrying out the corresponding image and signal collection in a flight mode; contact type vibration detection and disease detection are carried out in the adherence mode; 2, extracting a displacement time travel curve and an acceleration time travel curve of the bridge in an operation state, and extracting frequency, vibration mode, damping and other characteristic values of the obtained signal by adopting a signal decomposition method optimized by an intelligent algorithm; 3, acquiring an abnormal image of the surface of the bridge structure, identifying crack and spalling diseases in real time by using a deep learning target detection algorithm, and measuring the crack width through a pixel-level segmentation algorithm U-Net; synchronous non-contact detection is realized; 4, the data processing terminal receives the image data and the signal data collected by the unmanned aerial vehicle in real time, and information fusion of bridge modal parameter decomposition and local disease type recognition is achieved at the terminal.