99 results about "Vibration compensation" patented technology

The invention relates to a dam slope deformation monitoring method based on fusion of a measuring robot and a GNSS (Global Navigation Satellite System). The method comprises the following steps: performing signal synchronization and delay correction on a dual-mode observation pillar of a GNSS and a prism target of a measurement robot, and constructing a space-time reference network; controlling the measurement robot to emit an anti-interference laser pulse, counteracting environment vibration, and outputting a vibration compensation coordinate set; obtaining a dam slope displacement field through variable weight adaptive fusion processing; performing encryption scanning on an abnormal area exceeding a first deformation threshold in the displacement field to generate a polarization interferometric phase diagram, forming an adaptive data stream through three-stage dynamic classification coding, calculating a reference point drift component in combination with a dual-mode observation pillar, and extracting a net deformation set; and finally, mapping the net deformation set to a BIM model, constructing a color temperature gradient three-dimensional deformation situation map, triggering early warning for an area exceeding a second deformation threshold value, and generating a three-dimensional early warning map. According to the method, high-precision space-time unification of multi-source data can be realized, and the monitoring consistency and the anti-interference capability in a complex environment are remarkably improved.

The invention discloses an intelligent helmet control system based on an IMU (Inertial Measurement Unit), particularly relates to the field of riding monitoring, and is used for solving the technical problems that an existing intelligent helmet is high in collision misjudgment rate under strong road surface vibration and complex riding actions and is difficult to stably trigger a reliable rescue process. A helmet inertial measurement unit and a reference inertial measurement unit are respectively arranged on a helmet and a vehicle structural member, coordinate calibration and time synchronization are carried out, and a road vibration compensation model is constructed by using a frequency domain analysis result of the reference inertial measurement unit in a sliding time window. Road vibration and vehicle body vibration are separated from signals of the helmet inertial measurement unit, residual acceleration and angular velocity characteristics representing relative movement of the head are obtained, an accident confirmation signal is generated based on multi-threshold joint judgment, and a communication unit and a vehicle control interface are linked for execution.

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 relates to the technical field of electric connector weak light assembly vibration compensation alignment methods, particularly discloses an electric connector weak light assembly vibration compensation alignment method, and aims to solve the problems of low electric connector assembly positioning precision and high pseudo soldering rate caused by vibration in a weak light environment. The method comprises the following steps: monitoring the thermal radiation change of a vibration source in real time through an infrared thermal imaging sensor, and pre-judging a vibration acceleration vector in combination with a lightweight long-short-term memory neural network; synchronously triggering dual polarization angle imaging to respectively capture a housing reference mark and an enhanced terminal metal feature; the vibration data and the polarization image flow are fused in the field programmable gate array, a self-adaptive optical flow algorithm is adopted to resolve the displacement compensation amount, and a piezoelectric ceramic actuator is driven to carry out submicron order reverse displacement compensation; when the compensation amount exceeds a threshold value, a low-delay correction instruction is sent to the robot through an Ethernet control automation technology bus, and the steady-state error is ensured to be smaller than 0.3 micrometer by combining a strain gauge fine tuning feedback loop. According to the technical scheme, the assembling precision, efficiency and production line adaptability are remarkably improved.

The invention discloses a linear friction welding machine vibration compensation control method based on iterative learning, and the method comprises the steps: collecting a vibration signal of an electro-hydraulic servo vibration system of a linear friction welding machine in a welding process, determining a vibration amplitude, frequency and vibration center deviation, and when the vibration amplitude or the center deviation exceeds a preset threshold value, starting the linear friction welding machine; the controller starts vibration compensation control; an electro-hydraulic servo vibration system model is established, the rigidity characteristic and the dynamic load change of the system are comprehensively considered, an iterative learning control law of a controller is designed, and control convergence conditions are analyzed to ensure the stability and the high efficiency of control; based on the output of the controller, the error trend of the vibration signal is predicted in real time in combination with historical iteration data, and a feed-forward control signal is generated through a feed-forward compensation mechanism to adjust the vibration signal error in advance. According to the method, the iterative learning is applied to the vibration compensation control of the linear friction welding machine, so that the precise compensation of the vibration signal is realized.

The invention relates to a commodity quality multi-dimensional detection method and device, equipment and a medium. The method comprises the following steps: acquiring environment data and commodity appearance image data in real time through a sensor and a camera deployed in a commodity transportation environment; performing clock synchronization and vibration compensation processing on the environment data to obtain environment data after synchronous compensation; performing spatial-temporal feature fusion processing on the sensor data and the commodity appearance image data after synchronous compensation to obtain a fusion feature vector; calculating a commodity recessive deterioration probability value based on the fusion feature vector in combination with commodity physiological metabolism characteristics; and generating a multi-dimensional quality inspection result based on the commodity recessive deterioration probability value in combination with the environment data and the commodity appearance image data. By the adoption of the method, efficient collaborative collection of multiple sensors can be achieved in a dynamic environment, recessive degradation caused by microbial activity or water loss in the fresh goods is captured, and multi-source heterogeneous data is fused into a unified fresh goods quality detection result.

This application relates to a six-axis CNC machine tool for achieving precision burr control. The six-axis CNC machine tool includes: a workpiece fixing device for placing the workpiece to be machined; a machining tool kit including a tool holder and a machining tool arranged on the tool holder; a vibration sensor disposed at the tool clamping point for acquiring vibration signals from the machining tool when it cuts the workpiece; a drive controller for controlling the machining tool kit and the workpiece fixing device to collaboratively execute cutting actions; and a processor communicatively connected to the vibration sensor and the drive controller, configured to: acquire the vibration signals from the machining tool; generate a vibration compensation signal based on the vibration signals, wherein the vibration compensation signal has the same amplitude, opposite phase, and the same frequency as the vibration signal; and send the vibration compensation signal to the drive controller to adjust the cutting actions. The solution provided in this application can accurately suppress burr generation when cutting the workpiece.

The invention relates to the technical field of mine material metering, and particularly discloses a mining conveyor belt coal flow intelligent metering method and device based on sub-pixel-level light bar center extraction. According to the method, an infrared laser is adopted to construct a light plane on the coal flow surface above a conveying belt, and a grating sensor camera is adopted to collect light plane deformation light strips on the coal flow surface; a dust scattering compensation model is innovatively provided, and sub-pixel-level light strip center extraction is achieved; correcting point cloud coordinates in real time in combination with vibration compensation, and converting light strip pixel coordinates into coal flow surface point clouds based on a three-dimensional reconstruction technology; the coal flow sectional area and the belt speed output instantaneous flow are calculated through fitting of a conveyor belt reference surface and integral calculation; aiming at the technical defects of dust interference, much vibration, sensor data fusion failure and the like existing in a traditional monitoring technology in a high-dust and strong-vibration environment of an underground coal mine, the laser is combined with a grating visual sensor, the dust penetration rate is increased, and high-precision coal flow measurement is performed by using a non-contact more scientific and reasonable method.

The present application belongs to the technical field of metallurgical equipment intelligence, and provides a strip steel transverse flatness measurement method and system based on multiple laser vision sensors, comprising: sequentially installing a laser speed measuring instrument, a first set of laser vision devices, a second set of laser vision devices and a third set of laser vision devices on a support above a strip steel roller, and collecting laser stripe images on the surface of the running strip steel; performing ROI region processing on the laser stripe images to identify the laser stripes in the laser stripe images; using a gray center of gravity method to extract the center coordinates of the laser stripes, and using a least squares method to fit the center coordinates to obtain a fitting equation; performing vibration filtering on the fitting equation, setting a vibration compensation term, calculating the strip steel transverse flatness, and adjusting the equipment parameters of the rolling mill and the straightening machine and the placement position of the flattening machine pad based on the strip steel transverse flatness. The present application realizes high-precision dynamic detection of the flatness of the strip steel.

The invention relates to the technical field of image data processing, in particular to a processing parameter monitoring method and system for wire harness terminal production, and the method comprises the steps: obtaining continuous multi-frame images in a wire harness terminal crimping process; calculating the initial sectional areas of the wire harness conductor and the crimping wing in the crimping area of any image; respectively performing temperature compensation and vibration compensation on the initial sectional areas of the wire harness conductor and the crimping wing to obtain the actual sectional areas of the wire harness conductor and the crimping wing, and calculating the compression ratio of the wire harness terminal in the crimping area based on the actual sectional areas of the wire harness conductor and the crimping wing; adjusting the crimping force according to the compression ratio by using a PID control model; and evaluating the crimping quality of the wire harness terminal based on the compression ratio. The sectional area is dynamically calibrated by introducing temperature compensation and vibration intensity, quality misjudgment caused by only depending on pressure data is avoided, the crimping force is adjusted in real time through the PID control model, pressure output is dynamically optimized according to the crimping state, and it is ensured that the crimping process is stable and accurate.

The application provides a steel plate shape measurement calibration method, belongs to the field of three-dimensional shape measurement and calibration, and aims to realize three-dimensional reconstruction and shape measurement of a steel plate surface. In order to realize high-precision detection of the plate shape, the application obtains X, Y and Z coordinate data of the steel plate surface through a double-line laser measurement system. The measurement system is composed of multiple cameras and two line lasers, the installation positions of the cameras are determined to ensure that the cameras have a certain overlapping field of view, so that the data can be spliced. In the measurement process, the image captured by the camera is processed, the position information of the laser line in the image is extracted, the pixel coordinates are converted into actual world coordinates according to the calibration parameters and the working distance of the camera, and the X, Y and Z three-dimensional coordinate data of the steel plate surface are obtained. Vibration compensation is carried out in the measurement process to ensure the accuracy and stability of the measurement result.

The present application relates to the technical field of unmanned aerial vehicle photoelectric load vibration control, and particularly relates to a multi-frequency band vibration compensation control method for an unmanned aerial vehicle airborne photoelectric platform based on a disturbance observer, comprising: obtaining unmanned aerial vehicle task phase information, synchronously collecting piezoelectric sensing signals and fiber grating sensing signals, performing time-frequency domain feature fusion and generating a composite feature description in combination with the task phase information; performing mode classification on the current disturbance based on the composite feature description and selecting a corresponding compensation algorithm, predicting the disturbance trend according to the task phase information and activating the compensation algorithm in an event-triggered manner by scheduling computing resources; obtaining an optical axis residual error and a deviation between an actual disturbance and a predicted disturbance, modifying time-frequency domain feature fusion parameters and mode classification discrimination boundaries based on the optical axis residual error, and modifying feature library parameters of the task phase information and a trigger threshold of event-triggered scheduling based on the deviation. The present application realizes adaptive and accurate suppression of wide-frequency band disturbances and improves long-term operation reliability.

The invention provides a fresh flower harvesting trolley based on stalk adaptive cutting and vibration compensation, and relates to the field of agricultural automatic picking, and the fresh flower harvesting trolley comprises a rack (10), a moving mechanism (20), a harvesting self-balancing mechanism, a platform (40), a guide rail sliding table mechanism, a retractable picking mechanical arm mechanism, a tail end cutting mechanism, a storage mechanism and a binocular camera, the bottom ends of the four corners of the rack (10) are each provided with a set of moving mechanism (20). The four harvesting self-balancing mechanisms are sequentially arranged at the four corners of the top end of the rack (10), and the top ends of the harvesting self-balancing mechanisms are connected with the bottom face of the platform (40). The guide rail sliding table mechanism is arranged on the end face of the platform (40) and located in the middle of the platform (40) and provided with the retractable picking mechanical arm mechanism, and the tail end cutting mechanism is arranged at the bottom end of the retractable picking mechanical arm mechanism. According to the harvesting trolley, high-precision positioning and high-success-rate cutting of various fresh flowers can be achieved, and the picking efficiency and the quality of the picked fresh flowers are improved.

The invention discloses a system and a method for lossless dynamic measurement of microstructure characteristics of a material surface, and relates to the technical field of optical measurement, and the method comprises the following steps: S1, placing an object to be measured on a two-dimensional stepping motor platform, and adjusting the platform to be horizontal; and starting the solid laser. According to the invention, an optical system composed of a solid laser, a beam expander, an aperture diaphragm and a spectroscope generates an accurate detection light beam, a spatial filter designed according to a confocal diffraction limit is matched to effectively suppress defocus stray light interference, and a multi-parameter fusion judgment mechanism is combined to synchronously extract a light intensity peak value and a light spot centroid offset, so that the detection accuracy is improved. The focus is judged only when the light intensity reaches the maximum value and the mass center offset is smaller than the threshold value, the positioning precision is greatly improved, Z-axis coordinate errors are dynamically corrected through real-time vibration compensation and thermal drift compensation, the problems of sample damage and optical method noise interference in traditional contact measurement are solved, and undistorted data support is provided for microstructure three-dimensional reconstruction.

The invention relates to the technical field of image processing, in particular to an auxiliary material curved surface fitting deviation monitoring method based on an image processing technology, and the method comprises the steps: S1, building a compensation relation function between vibration frequency and image fuzziness; s2, collecting an image of a product before mounting, eliminating vibration blur, extracting outer contour shape and curved surface form data, and calculating a theoretical projection area reference value; s3, collecting a vacuum adsorption auxiliary material image and extracting an outer contour; s4, comparing outer contour data of the product and the auxiliary material, correcting a displacement difference and an angle deviation, and then performing vacuum lamination; and S5, acquiring an image after fitting, extracting a composite outer contour, an actual projection area and an auxiliary material edge mechanical stripe density gradient, and judging that the image is qualified when the three conform to judgment conditions. Through the technical framework of vibration compensation-curved surface three-dimensional reconstruction-multi-dimensional cooperative judgment, the positioning precision of curved surface accessory fitting is improved, the detection efficiency is improved, and meanwhile, the mechanical failure risk such as reworking caused by bubbles and wrinkles is reduced.

The application provides a servo electric cylinder system and control method based on high-precision feedback and intelligent temperature control, the system comprises a data acquisition module, a modeling simulation analysis module, a thermal deformation compensation module, an intelligent temperature control module and a digital twin module; through real-time acquisition of multi-source data, a finite element model of the servo electric cylinder is constructed, and fluid field-temperature field-structure field-electromagnetic field multi-field coupling simulation analysis is carried out to obtain a temperature distribution cloud picture and a thermal deformation distribution cloud picture; according to the thermal deformation distribution cloud picture, an adaptive two-stage thermal deformation compensation model is constructed to compensate the temperature, wear and vibration of the push rod position; according to the temperature distribution cloud picture, in combination with the health state of the heat dissipation equipment, the heat dissipation power is dynamically adjusted through a multi-objective optimization algorithm; through the digital twin module, the finite element simulation model is linked with the actual equipment state in real time, and the problems of thermal deformation precision loss and intelligent temperature control under long-stroke high-speed working conditions are solved.

The utility model relates to the technical field of laser floor construction equipment, in particular to laser floor construction integrated equipment with a vibration compensation structure, which comprises a support frame, damping support legs, a paving assembly, a measuring module and a vibration compensation mechanism. The vibration compensation mechanism limits the motion range of the measurement module through a limiting guide rail and a sliding block, and corrects the vibration influence in combination with a compensation algorithm module; the damping supporting legs absorb vibration energy through elastic elements, and vibration transmission is reduced; and a scraping plate at the front end of the paving plate and anti-skid lines of the compaction wheel cooperate to improve the paving effect. The method can effectively reduce the influence of vibration on the measurement precision and flatness, improves the construction efficiency and quality, and is suitable for a large-area or long-time laser terrace construction scene.

This invention belongs to the field of secondary grouting construction technology for shield tunnels. It proposes a control method and system for secondary grouting in shield tunnels based on multimodal perception. The method acquires and preprocesses laser point cloud, true-color visual, acoustic echo, and ground-penetrating radar data of the target area; it extracts spatial and temporal features using CNN and LSTM respectively, and calculates the cavity volume, burial depth, and soil parameters through weighted fusion using an attention mechanism; it drives a robotic arm for coarse alignment based on the cavity center coordinates, combines joint vibration compensation to suppress vibration, and completes fine alignment using visual and laser feedback; it calculates the theoretical grouting volume and pressure based on cavity parameters, and performs closed-loop dynamic adjustment based on real-time monitoring data; it monitors the filling rate in real time, and automatically stops grouting once the target is reached. This invention achieves accurate cavity detection, stable robotic arm alignment, and adaptive control of grouting volume, effectively solving the problems of high blindness and low accuracy in traditional grouting operations, and significantly improving the quality and safety of tunnel construction.

The application provides a MEMS navigation system optimization control method and a MEMS navigation system, and relates to the technical field of inertial navigation. The method comprises the following steps: determining noise compensation parameters according to measurement data of a target MEMS inertial measurement chip, and performing vibration compensation on each MEMS inertial measurement chip according to the noise compensation parameters; determining the weight of each MEMS inertial measurement chip according to the measurement data of each MEMS inertial measurement chip; and performing weighted summation on the measurement data of each MEMS inertial measurement chip based on the weight of each MEMS inertial measurement chip to obtain target measurement data. The common vibration error of each chip is uniformly corrected based on the target chip measurement data, and the system error is reduced. Meanwhile, multiple chips are redundantly arranged, random errors are reduced through information fusion, the measurement accuracy of the navigation parameters is improved, and the positioning accuracy of the navigation system is further improved.

The application relates to the technical field of equipment calibration, and discloses a cooperative directional calibration method, a cooperative directional calibration system, electronic equipment and a storage medium, which comprise the following steps: acquiring the circumferential strain distribution data of a drill rod, extracting the amplitude-frequency characteristics of a dominant vibration mode and the phase shift amount of a coupled vibration mode; generating an amplitude compensation coefficient according to the amplitude-frequency characteristics, generating a time-varying phase compensation factor in combination with the phase shift amount, and generating a dynamic vibration compensation parameter based on vibration energy distribution dynamic weighting fusion; based on a pre-trained nonlinear phase distortion compensation model, inputting the dynamic vibration compensation parameter, and outputting a phase-corrected gyroscope angular velocity signal; performing vibration interference frequency band suppression processing on an accelerometer signal, and outputting the processed accelerometer signal; performing iterative optimization on the corrected angular velocity signal and the processed accelerometer signal, and outputting a directional calibration result after filter smoothing processing. The application can realize high-precision cooperative calibration of inertial sensors in a multi-modal mechanical vibration environment.

The present disclosure provides a driving device and a camera module, wherein the driving device includes an auto-focus assembly and an optical image stabilizing assembly, the auto-focus assembly includes a focusing base, a focusing actuator and a fixed base, the focusing actuator includes at least one focusing coil and at least one focusing magnet disposed on an outer sidewall of the focusing base, the focusing coil is supported by the fixed base and corresponds to the focusing magnet so as to drive the lens to move along an optical axis direction of the lens by the focusing base in a case where the focusing coil is energized; and the optical image stabilizing assembly is supported by the fixed base and is transmissibly connected to the imaging assembly, so that the optical image stabilizing assembly drives the imaging assembly for vibration compensation.

The invention relates to the technical field of image processing, in particular to an automobile high-voltage line surface defect online identification method based on machine vision, which comprises the following steps: acquiring a current frame image containing a high-voltage line main body; calculating a vibration compensation factor of the current frame image, wherein the vibration compensation factor is in positive correlation with the sum of the displacement of the plurality of feature points in the current frame image relative to the previous frame; and calculating a non-periodic disturbance factor of the current frame image. According to the method, the non-periodic disturbance factor based on the historical mean value is constructed, so that the interference of inherent mechanical vibration of the production line on defect signals is effectively stripped, and the problem of misinformation under a dynamic background is solved; meanwhile, a defect energy response model is constructed by utilizing a normal included angle of the cylinder, nonlinear gain compensation is performed on an edge illumination attenuation area, the contrast ratio of edge weak defects is remarkably enhanced, the problem of dead angles in detection of the edge of the cylinder is solved, and full-coverage high-precision online detection is realized.

A computer-implemented method for reducing unwanted mechanical vibrations in an ultrasonic array sensor during the operation of a vehicle, which has at least two ultrasonic transducer elements (110, 110a, 110b), wherein the method comprises the following steps: emission (330) of an ultrasonic signal by means of one or more first ultrasonic transducer elements (110a) of the ultrasonic array sensor (100) based on an electrical measurement excitation signal; and / or reception (340) of the ultrasonic signal reflected by an object in the environment by means of the first and / or a second ultrasonic transducer element (110a); wherein a determination (320) of the measurement excitation signal and / or generation (350) of an output signal based on the received reflected ultrasonic signal is carried out in each case depending on an initial compensation matrix and / or depending on a current compensation matrix.

The invention relates to a vibration compensation effect simulation evaluation system and method based on VCO (Voltage Controlled Oscillator) phase accumulation, and the system comprises an arbitrary waveform generator, a simulation differentiator, a voltage-controlled oscillator, a real-time compensation module, an oscilloscope and an upper computer, the analog differentiator is connected with the voltage-controlled pins of the voltage-controlled oscillator and the analog differentiator, the analog differentiator inputs processed signals to the real-time compensation module, integral following signals output by the real-time compensation module and modulation signals output by the voltage-controlled oscillator enter the oscilloscope to be collected and recorded, and the oscilloscope is connected with the upper computer through a USB (universal serial bus). And the data stream is transmitted to an upper computer for automatic calculation processing. According to the invention, a pure electronic signal simulation scheme is adopted, a vibration signal is generated through a signal generator, and a to-be-tested compensation module and a phase accumulation reference circuit based on a VCO are input at the same time, so that a double-path parallel processing verification architecture is constructed. The system remarkably improves the development and test efficiency of the compensation system.

This utility model discloses a vibration-compensated motor vibrating cutter head, belonging to the technical field of vibrating cutter heads. It solves the problem of excessively high vibration frequency during soft material cutting or excessively low vibration frequency during hard material cutting caused by crystal oscillator frequency drift leading to timer counting errors or interference rewriting of the PWM duty cycle register. If the vibration frequency is too high when cutting soft materials, the material melts and sticks; if the vibration frequency is too low when cutting hard materials, the blade will chip. The vibrating cutter head includes a vibrating cutter head body and a drive motor connected to it. The drive motor is electrically connected to an anti-interference frequency stabilization circuit. This anti-interference frequency stabilization circuit establishes a frequency reference and monitors the output frequency in real time, controlling the drive motor to shut down when a threshold is exceeded. This utility model establishes a frequency reference and monitors the output frequency in real time through its anti-interference frequency stabilization circuit, controlling the drive motor to shut down when a threshold is exceeded.

The invention relates to a real-time vibration compensation device and method for a cold atom gravimeter. The device comprises a Raman laser, a rubidium atomic group, a reflector, an accelerometer, an optical phase-locked loop module, an analog-to-digital converter, a reference clock source, a heteronuclear FPGA, a direct frequency generation module and an upper computer. Two pairs of Raman lasers oppositely act on a rubidium atomic group in the vertical direction, the accelerometer and the reflector are in rigid connection, analog differential signals of the accelerometer enter the analog-digital converter, converted digital signals enter the heteronuclear FPGA for digital calculation, and the reference clock source serves as clock signals of the digital circuit. A signal calculated by the heteronuclear FPGA enters the direct frequency generation module and is output to the optical phase-locked loop to control the phase of the Raman laser, and the heteronuclear FPGA communicates with the upper computer through TCP connection. The vibration real-time compensation device for the cold atom gravimeter is fully digital, and has the advantages of large dynamic range, low noise and high-precision phase synchronization compensation capability.

The application discloses a track robot inspection control method and system based on the Internet of Things, relates to the technical field of robot inspection, and comprises the following steps: collecting data based on a track robot, calculating accumulated cost value by comprehensively considering track width and track slope data, dynamically planning an inspection track, and collecting vibration signals in track operation to calculate vibration compensation. The method can ensure the stability of robot operation and the track keeping ability through dynamic balance load difference calculation, can construct a comprehensive fault feature map through weighted fusion of crack fault distribution probability curve and wear trend diagram, can effectively unify multiple types of fault features, can detect cracks and wear alone, can calculate the feature mean value and standard deviation of cracks, wear and composite faults respectively according to fault points extracted from the comprehensive fault feature map, can generate fault classification probability based on a classification Gaussian model, and can enhance the accurate classification ability of multiple fault areas.

The invention relates to the technical field of precision optical instruments, and discloses an optical device mounting seat with a vibration displacement compensation function, which comprises a base, a vibration compensation piezoelectric assembly, a vibration induction piezoelectric assembly, an optical device main body, a fixed mass block, a screw and a shielding cover, the end face of the second stand column is provided with a threaded hole, the first stand column and the second stand column are kept symmetrical on the base, electrodes of the vibration compensation piezoelectric assembly and the vibration induction piezoelectric assembly are connected in a reversed polarity mode, and the shielding cover is provided with a round hole. An obvious vibration response is generated through the fixed mass block, the vibration induction piezoelectric assembly is compressed at the same frequency to generate voltage, the voltage is reversely connected to the vibration compensation piezoelectric assembly, first piezoelectric ceramics of the vibration compensation piezoelectric assembly generate displacement under excitation of the voltage, displacement of a base is counteracted, and the optical device main body is kept stable; a passive closed loop is formed through self-conversion of mechanical energy and electric energy, and the cost is remarkably reduced compared with a traditional active vibration reduction system.

The invention discloses a photoelectric turntable multi-scene adaptive tracking adjustment method, which comprises the following steps of: S1, receiving target position data output by a photoelectric sensor in real time, and calculating a target movement speed and an acceleration through position variation within adjacent 100ms; s2, state identification delay is less than or equal to 50ms, and an accurate basis is provided for subsequent parameter adjustment; s3, a parameter adjustment rule base is built in, and tracking parameters are automatically matched according to the motion state of the target; s4, receiving data of a vibration sensor of the rotary table at the same time, and when the vibration acceleration is greater than 0.3 g, automatically superposing 5% of compensation dosage to the rotating speed of the rotary table to offset tracking offset caused by vibration; the motion state of the target is automatically recognized, manual parameter adjustment is not needed, the operation complexity is reduced by 70%, and multi-scene dynamic changes are adapted; multi-scene parameters are adaptively adjusted, the tracking response speed is increased by 60%, and the target loss rate in a sudden steering scene is reduced to below 1%; vibration compensation logic is built in, the tracking precision in a complex environment is kept within + / -0.3 degrees, and the stability is obviously superior to that of fixed parameter control.

This application provides a method, system, and printer for global dynamic vibration pattern suppression in 3D printers. The method calculates the current physical coordinates of the tool head based on the stepping command sequence of the drive motor, retrieves a discretized compensation parameter matrix based on the current physical coordinates, and generates a compensation frequency in real time that matches the mechanical stiffness of the current position through spatial interpolation. Then, a dynamic shaping operator is generated based on this compensation frequency to modify the original drive commands. For each original stepping pulse, the drive command stream includes a main pulse and at least one subordinate compensation pulse, with their delay time Δt dynamically adjusted according to the current physical coordinates of the tool head. This allows the vibration compensation parameters to maintain a higher degree of matching with the actual resonance state of the mechanism throughout the entire XY printing area, thereby reducing vibration patterns and accuracy fluctuations in edge areas, during long-term operation, and under complex path conditions, and improving high-speed printing quality and operational stability.