1985 results about "High frequency vibration" patented technology

The invention discloses a rapid demolding device and method for a small prefabricated part, and relates to the technical field of prefabricated part production. The mold bearing table is mounted on the substrate of the demolding rack and is integrated with a multi-point temperature sensor and an acoustic vibration signal collector; the ejection demolding assembly is installed on the stand columns of the demolding rack in a liftable mode and comprises an ejection plate assembly, and an ejection force sensor and a high-frequency vibrator are arranged on the ejection plate assembly; the visual identification module is mounted on the demolding rack; and the controller is electrically connected with the multi-point temperature sensor, the sound vibration signal collector, the ejection force sensor, the high-frequency vibrator, the visual recognition module and a driving mechanism of the ejection demolding assembly. Multi-source sensing information is fused, the component condensation state and the demolding time are accurately judged, the ejection force and vibration in the demolding process are adaptively controlled, accurate and flexible control over the demolding time and process is achieved, and the demolding success rate and the component yield are remarkably increased.

The invention relates to the technical field of vibration and noise control, discloses a new energy automobile motor high-frequency vibration and noise active suppression system and method, and aims to solve the problems of poor high-frequency vibration and noise suppression effect, real-time performance, adaptive capacity and system cost complexity of an existing new energy automobile motor. The method comprises the following steps: acquiring and preprocessing motor operation state data, extracting high-frequency harmonic characteristics, and generating predicted harmonic characteristics in combination with working condition prediction; and superposing the self-adaptive compensation quantity to a motor voltage instruction, and driving an inverter through pulse width modulation to realize active suppression of high-frequency vibration and noise. The system comprises a data acquisition preprocessing module, a harmonic feature extraction module, a working condition sensing prediction module, a self-adaptive compensation quantity generation module and a pulse width modulation correction module. By the adoption of the technical scheme, efficient, real-time and self-adaptive suppression of high-frequency vibration and noise of the motor can be achieved, the level of the high-frequency vibration and noise is remarkably reduced, the driving comfort is improved, and the complexity and cost of the system are optimized.

The invention belongs to the technical field of cold-rolled sheet processing, and particularly relates to a physical defoaming alkali liquor circulation method which comprises the following steps: a foam capacitive monitoring array at the top of an alkali liquor tank generates a foam thickness gradient map in real time; real-time alkali liquor temperature, conductivity, circulating flow, strip steel running speed and historical foam thickness data are fused, a foam layer height prediction value is output, and when the prediction value exceeds a safety threshold value, a turbulence generator is automatically triggered to generate high-frequency pulse water flow; when the foam finally flows downwards to the top opening of the alkali liquor tank through the foam overflow pipe, the foam is crushed by high-frequency pulse water flow in the alkali liquor backflow pipeline and becomes alkali liquor to drop into the alkali liquor tank, the foam is physically crushed through fluid shear force and high-frequency vibration under the synergistic effect of the sectional type backflow pipeline and the capacitive foam monitoring array, the defoaming efficiency is high, and the defoaming effect is good. Dependent chemical defoaming agents are reduced, and the problems of strip steel surface residues and wastewater treatment are solved.

The invention discloses an anti-jamming coal mining drilling machine with drilling and multidirectional impacting functions and a using method thereof.The anti-jamming coal mining drilling machine comprises a drilling machine body, a high-pressure driving mechanism is arranged on the drilling machine body through a multidirectional guide rail mechanism, and a drilling assembly is connected with the high-pressure driving mechanism; when the drilling machine works, the high-pressure driving mechanism drives the drill rod and the drill bit to conduct rotary drilling, the high-frequency transverse vibration mechanism synchronously generates transverse high-frequency vibration, the high-pressure driving mechanism drives the drill rod and the drill bit to conduct rotary drilling, and the high-frequency transverse vibration mechanism drives the drill rod and the drill bit to conduct rotary drilling. The friction force between the drill bit and rock is reduced, debris accumulation is prevented, efficient deslagging is achieved, when hard rock or drill jamming occurs, the longitudinal vibration impact mechanism triggers longitudinal vibration, impact and drill jamming prevention functions are achieved through cooperative work of transverse vibration and longitudinal vibration, the drill jamming problem under the complex geological condition is effectively solved, the drilling efficiency and equipment reliability are improved, and the drilling cost is reduced. The device is suitable for drilling operation of mining roofs and baseplates, sides and the like.

The invention discloses a gas turbine running state data regression prediction method based on a fusion network, a plurality of sensors are arranged at different positions of a gas turbine, and the prediction method comprises the following steps: obtaining multi-source heterogeneous real-time data of the gas turbine in a current control period, the multi-source heterogeneous real-time data comprises sensor time sequence data, high-frequency vibration data, environment working condition data and control instruction log data, and constructing a unified data representation matrix of the multi-source heterogeneous real-time data; and based on the unified data representation matrix, a thermal efficiency prediction value and an emission concentration prediction value of the gas turbine in the next control period are obtained through a dynamic weight fusion network. By constructing the uniform data representation matrix of the multi-source heterogeneous real-time data and combining the dynamic weight fusion network, the problems of insufficient spatial-temporal characteristic difference processing of the multi-source data and rigid dynamic weight distribution in the prior art are effectively solved.

The invention provides a structure health early warning method and system based on space-time correlation characteristics and digital twinning, and relates to the technical field of data processing. The method comprises the following steps: acquiring multi-source heterogeneous data of a target structure; performing dynamic sampling alignment and wavelet packet decomposition on the multi-source heterogeneous data to extract energy features to obtain synchronous data, and performing abnormal data filtering on the synchronous data to obtain cleaned fusion data; performing wavelet decomposition on a high-frequency vibration signal in the fused data to obtain a damage impact feature, performing time sequence processing on low-frequency temperature data in the fused data to obtain a temperature time feature, and performing dynamic graph convolutional network processing on strain data in the fused data to obtain a spatial correlation feature; constructing an input vector; calculating a damage degree index; and according to the damage degree indexes, early warning grades are divided, and corresponding control instructions are triggered for different early warning grades. By implementing the technical scheme provided by the invention, the accuracy of structural health early warning can be improved.

The invention relates to a robot multi-frequency vibration composite suppression method and system based on inertia disturbance analysis. The method comprises the steps of obtaining dynamic operation data in the operation process of a robot; the operation data are input into an inertia disturbance analysis module, and a low-frequency vibration source caused by a mechanical structure and a high-frequency vibration source caused by a driving system can be accurately recognized; a disturbance frequency distribution diagram is generated, according to the distribution diagram, a self-adaptive filtering algorithm is adopted to suppress a high-frequency vibration source, a compensation algorithm based on model prediction control is adopted to suppress a low-frequency vibration source, the two strategies are cooperatively processed to generate a comprehensive control instruction, the advantages of the two algorithms are fully played, and effective composite suppression of multi-frequency vibration is achieved.

The invention relates to the technical field of hemispherical harmonic oscillator assembly, in particular to a welding method and device for an assembled hemispherical harmonic oscillator, and the device comprises a vibration welding platform and a clamping assembly located above the vibration welding platform; the vibration welding platform is used for bearing the sensitive base and providing a thermal field and a vibration field needed by welding, and the clamping assembly is used for clamping the center shaft and sending the center shaft into a center hole of the base. A heating unit and a composite vibration ultrasonic transducer are arranged in the platform, and the platform is configured to apply high-frequency vibration formed by superposition of vertical longitudinal waves and horizontal torsional waves to the base. The high-frequency vibration thixotropic effect is used for reducing the viscosity of the molten solder, the ultrasonic cavitation effect is used for forcibly discharging bubbles at the bottom of the blind hole, and the sound radiation pressure generated by the vibration standing wave field is used for driving the center shaft to achieve friction-free self-centering in the hole. According to the device, the problems of air bolt pseudo soldering and rigid assembly clamping stagnation in the traditional process are solved, and the assembly coaxiality and the connection strength of the harmonic oscillator are remarkably improved.

The invention relates to the technical field of multi-axis cooperative motion control, and discloses a method for calculating acceleration and deceleration of each motion axis by stroke and vibration limitation, which comprises the following steps of: S1, acquiring stroke data (Sx, Sy) of each motion axis and a preset acceleration resultant vector limit value; s2, based on the stroke data of each shaft and the acceleration resultant vector limit value, determining the total motion time T meeting the requirement of multi-shaft synchronous start and stop; and S3, according to the total motion time T, calculating acceleration and deceleration time (Tx0, Ty0) corresponding to each motion axis, and verifying whether an acceleration resultant vector meets a limiting condition or not. By combining real-time iterative optimization of total motion time T and acceleration and deceleration time, instantaneous acceleration and braking caused by a stepped track under high-speed motion are effectively suppressed, structural resonance and noise are reduced, constant-speed stage time and acceleration abrupt change rate are limited, a speed curve is further smoothed, high-frequency vibration energy transfer is reduced, and the high-speed vibration performance is improved. Therefore, the equipment operation stability is improved and the mechanical life is prolonged.

The invention relates to the technical field of air conditioning, and discloses a control method of air treatment equipment. The filter screen device of the air treatment equipment comprises a filter screen body used for filtering air; the ultrasonic generator is connected with the filter screen body in a contactable manner so as to transmit vibration energy of the ultrasonic generator to the filter screen body. According to the self-cleaning filter screen device, high-frequency vibration of the ultrasonic generator is used for conducting vibration cleaning on dust attached to the filter screen body, almost no dust remains on the filter screen body, cleaning is thorough, the cleaning efficiency is high, noise is low when the ultrasonic generator works, energy consumption is low, and the use experience of a user can be effectively improved through the self-cleaning filter screen device. The vibration intensity and the vibration frequency of the ultrasonic generator are controlled according to the environment temperature and / or humidity, and the cleaning effect is ensured.

The invention discloses a catastrophe early warning system for a tunnel passing through an active fault zone, and relates to the technical field of tunnel early warning, the system comprises a multi-mode sensing layer used for obtaining micro-seismic wave, vibration, inclination and strain data along the tunnel fault zone, the multi-mode sensing layer comprises an optical fiber distributed sound wave sensing unit DAS, a data processing unit DAS and a data processing unit DAS, the optical fibers are arranged along the inner side of the tunnel lining at intervals of 10m and are used for monitoring tiny sound wave signals of a fracture surface in real time; the MEMS accelerometer arrays are arranged at four corners of each section and are used for detecting high-frequency vibration; gNSS and INS combined inclination strain sensors which are installed on the top plate and the side wall of the tunnel and are used for obtaining millimeter-level inclination and strain changes; and the acoustic cavity sensor is arranged in a near area of the sliding surface of the fault zone and is used for capturing an air sound wave precursor signal. According to the invention, through multi-mode fusion sensing, the function of capturing fracture micro-shock, vibration and deformation in all directions is realized, the problem of missed alarm and false alarm of single sensing is solved, the sensitivity order of magnitude is improved, and the false alarm rate is reduced.

The invention discloses a GIS equipment shell vibration fault identification method and system based on a physical information neural network, and relates to the technical field of GIS fault diagnosis, and the method comprises the steps: collecting a vibration acceleration signal of the surface of a GIS shell; establishing a simplified physical model of the vibration system, and determining a control equation, initial conditions and boundary conditions of the vibration system; based on the HFT-MPINN or the RL-PINN, constructing a parameter inversion model; fusing physical constraint loss, experimental data loss and multi-parameter coupling loss of the vibration system to construct a composite loss function; training a parameter inversion model by using the vibration acceleration signal to obtain key physical parameters of the vibration system; time-frequency domain analysis and finite element simulation verification are combined, and the mechanical fault type and degree of the GIS equipment shell are recognized. According to the method, the modeling precision, the noise robustness and the multi-working-condition adaptability of the high-frequency vibration signals are improved, and reliable technical support is provided for intelligent fault diagnosis of GIS equipment.

The invention relates to the technical field of vibration sensors, and discloses a high-precision vibration spectrum sensor, which comprises a shell, a sealing cover is embedded in the shell, the top of the sealing cover is flush with the top of the shell, and the shell and the sealing cover form a closed space; and the sensor mechanism is arranged in an inner space defined by the shell and the sealing cover, the sensor mechanism comprises an insulating cylinder, the outer wall of the insulating cylinder is fixedly connected with a connecting block, the insulating cylinder is fixedly connected to the inner wall of the shell through the connecting block, and the interior of the insulating cylinder is fixedly connected with a first electrode plate and a second electrode plate. The sensor is excellent in detection performance and capable of accurately capturing vibration signals, the core component is made of high-quality materials, the spring wire is stable in elasticity and resistant to corrosion, the ball body responds to high-frequency vibration rapidly, the electrode plates reduce signal loss, vibration is converted into electric signals through equivalent capacitance changes, various curves can be generated, early fault features can be recognized in an assisted mode, and the detection accuracy is improved. And the detection accuracy and completeness are ensured.

The invention relates to the technical field of unmanned helicopters, in particular to a carbon fiber reinforced rotor wing connecting piece numerical control lathe vibration suppression clamp which comprises a claw disc, a vibration suppression mechanism and an inner supporting mechanism. The clamping blocks make contact with the ends of the carbon fiber rotor wing connecting pieces. The vibration suppression mechanism comprises a clamping adjusting assembly penetrating through the top of the damping rod, the clamping adjusting assembly is in pressure communication with the pneumatic rail, the damping rod provides buffering and vibration suppression, and the inner supporting mechanism and the claw disc are coaxially fixed. The clamping pressure is adjusted in real time through the linkage design of the pneumatic track and the vibration suppression mechanism, the cutting force difference during asymmetric machining is effectively balanced and high-frequency vibration of a carbon fiber material is suppressed in combination with a multi-point supporting structure of the inner supporting mechanism, so that the dimensional precision and the surface quality of a workpiece are guaranteed, and the machining efficiency is improved. The device has the advantages of dynamically adjusting clamping pressure, balancing cutting stress, restraining high-frequency vibration and improving machining precision.

The invention relates to the technical field of power transmission line sag measurement, in particular to a power transmission line sag measurement method based on laser point cloud data, which comprises the following steps: controlling a laser radar module and a multispectral imaging module to perform time-space synchronous data acquisition on a power transmission line area, and generating an auxiliary three-dimensional point cloud through a data fusion and compensation module; fusing the laser point cloud and the auxiliary three-dimensional point cloud by adopting an adaptive weighted average algorithm to generate a fused point cloud; performing dynamic filtering processing on continuous multi-frame point cloud data through a dynamic filtering module based on Kalman filtering and an established conductor dynamic model, filtering out high-frequency vibration components, and extracting a steady-state position point cloud of the conductor; the sag value of the power transmission line is calculated through the sag calculation module, so that cooperative sensing and data adaptive fusion of the multi-source sensor in a severe environment are completed, recursive filtering processing is performed on continuous multi-frame point cloud data, and a more real and more accurate data basis is provided for sag calculation.

The present invention discloses a suspension structure and parameter design method for suppressing high-frequency vibration of a vehicle body by three measures in the automotive field. An existing stiffness-damping inertia autonomous controllable suspension and a wheel high-frequency dynamic vibration absorber are combined to form a suspension for suppressing high-frequency vibration of a vehicle body by three measures. On the basis of vehicle body mass, wheel mass and equivalent stiffness, the mass of the wheel high-frequency dynamic vibration absorber and the minimum stiffness of the suspension in comfort mode are determined according to automobile design requirements. The damping and inertia of the inertia tube, the stiffness and damping of the wheel high-frequency dynamic vibration absorber are optimized with the goal of minimizing the objective function. When the vehicle is traveling on a bad road, the high-frequency vibration suppression measure transmitted from the wheel to the vehicle body is expanded to three measures of wheel high-frequency dynamic vibration absorption, vibration isolation and anti-resonance vibration reduction that work in coordination with each other, so that the advantage of the wheel high-frequency dynamic vibration absorption measure in cutting the peak of the high-frequency vibration of the vehicle body and the advantage of the anti-resonance vibration reduction measure in narrowing the bandwidth of the high-frequency vibration frequency band of the vehicle body are organically combined, and the vibration of the vehicle body in the high-frequency vibration band is completely flattened.

The embodiment of the invention discloses a self-propelled hyperspectral imaging control method and system. The method comprises the following steps: based on an ultra-wideband wireless multilateral positioning method, acquiring ultra-wideband positioning information corresponding to a self-propelled hyperspectral imaging platform, and acquiring relative positioning information and a platform high-frequency vibration signal; based on a Bayesian fusion method, carrying out weighted fusion processing on the ultra-wideband positioning information and the relative positioning information; obtaining deformation data corresponding to the platform based on strain gauges arranged at a plurality of key positions of the platform; and according to the fused positioning information, the deformation data and the high-frequency vibration signal of the platform, performing adaptive closed-loop control on the platform so as to complete path correction of the platform, structural deformation offset, intelligent damping design between a vibration sensor and a pneumatic tire, and vibration compensation processing on a hyperspectral imaging module of the platform. According to the embodiment of the invention, the imaging precision is improved while the navigation positioning precision is improved.

The coal car hopper coal scraping device comprises a scraping plate, a sliding mechanism, a driving mechanism and a vibration mechanism, the coal car hopper coal scraping device drives the scraping plate to reciprocate in the discharging direction of a car hopper through the driving mechanism, and the coal car hopper coal scraping device is matched with the vibration mechanism arranged at the bottom of the scraping plate to form a double-cleaning structure. When the device works, the scraping plate can directly scrape residual coal on the inner wall and a bottom plate of the car hopper, meanwhile, the transmission assembly can move along with the scraping plate to drive the vibration rod to continuously knock the bottom plate of the car hopper in a reciprocating mode, the car hopper generates high-frequency vibration, and therefore adhesion of coal slime and the surface of the car hopper is effectively damaged; therefore, it is ensured that vibration energy is intensively transmitted to an adhesion area, deep cleaning of the car hopper is achieved, thoroughness of coal unloading is remarkably improved, the requirement for manual cleaning is reduced, and the car hopper has the advantages of being simple in structure, convenient to maintain and reliable in operation.

The invention discloses a multi-mechanical-dog cooperative intelligent inspection system and method based on an optimization algorithm. The system comprises a plurality of mechanical dogs and a task scheduling module, the task scheduling module schedules tasks and allocates the tasks to the corresponding mechanical dogs, and each mechanical dog executes the tasks according to the respective task; each mechanical dog comprises an SLAM positioning module, a path planning module, a mechanical dog moving platform, a double-spectrum holder, an image processing module, a posture synchronous control module and a vibration suppression module. The method has the advantage that path planning is more efficient and smoother, and navigation efficiency and safety are remarkably improved; the method has the advantage of high robustness of multi-modal fusion, and the reliability of target detection is greatly improved; the method has the advantage of high scheduling response speed, and ensures that the overall utility is optimal through cooperative distribution of multiple mechanical dogs; the vibration suppression effect is remarkable, and a clear image can be obtained under high-frequency vibration; the system has the advantages of high integration level and easy deployment, and the inspection efficiency and reliability are greatly improved.

The invention provides a self-powered vibration sensor based on multi-mode energy capture, and the sensor comprises a multi-mode vibration energy capture unit which comprises a piezoelectric ceramic piece and an electromagnetic induction coil-permanent magnet assembly, and the piezoelectric ceramic piece and the electromagnetic induction coil-permanent magnet assembly are installed on the surface of equipment in parallel, the piezoelectric ceramic is used for capturing 100-200Hz high-frequency vibration energy; the electromagnetic induction coil-permanent magnet assembly is used for capturing low-frequency vibration energy of 5-50 Hz; the energy acquisition power supply management circuit comprises a double-path rectification filter circuit, a first bidirectional DC-DC converter and a super capacitor / lithium battery hybrid energy storage unit; the first bidirectional DC-DC converter is connected with the two-way rectification filter circuit and the super capacitor / lithium battery hybrid energy storage unit at the same time, and is used for controlling charging and discharging of the super capacitor / lithium battery hybrid energy storage unit based on a preset dynamic impedance matching network and an energy priority scheduling strategy.

The invention relates to the technical field of digital twinning, and discloses a cultural relic virtual restoration simulation method and system based on digital twinning. The method comprises the following steps: constructing a cultural relic digital twinborn body fusing geometric morphology and physical attributes; collision contact between the virtual tool and the model is detected in real time; calculating stress, deformation and counter-acting force of the contact area through real-time finite element analysis; the reactive force is decomposed into joint torque and high-frequency vibration signals of multi-degree-of-freedom force feedback equipment, and force tactile feedback dynamically matched with material characteristics is provided; and physical parameters and geometric morphology of the model are updated according to the stress overrun condition, so that visual simulation of damage accumulation and fracture is realized. The system comprises a digital twinning construction module, a user interaction interface module, a physical simulation engine module, a force feedback rendering module and a model state updating module. Through a high-frequency closed-loop physical-force sense coupling mechanism, the authenticity, immersion and training reliability of virtual repair are improved.

The invention provides a compressor intelligent control method and system based on dynamic pressure relief and a storage medium, and the method comprises the steps: firstly, capturing the multi-physical field coupling characteristics of a compressor in a shutdown state in real time by deploying a pressure, temperature, vibration and current four-dimensional sensing network; secondly, based on a preset pressure entropy model, fusing the pressure fluctuation intensity, the temperature anomaly index, the high-frequency vibration factor and the current attenuation coefficient to quantitatively evaluate a pressure entropy value, and triggering a three-stage pressure relief mode based on the pressure entropy value; then, based on the deviation between the cavity pressure and the target pressure, pressure relief parameters are dynamically adjusted, and stable pressure transition is achieved; and finally, collecting full-link data of pressure relief operation, and dynamically optimizing pressure entropy model parameters based on reinforcement learning, so that the system continuously adapts to equipment aging and working condition changes. Through dynamic closed-loop adjustment, pressure relief energy consumption waste and equipment loss are reduced, and the stability of the pressure relief process is improved.

The invention discloses purification equipment for a natural gas wellhead, and belongs to the technical field of natural gas. The air inlet pipe is assembled at the air inlet of the purification box; the air outlet pipe is assembled at the air outlet of the purification box; and a collecting frame and an annular frame are fixedly connected to the interior of the purifying box. The efficient self-cleaning of the filter screen is realized through the synergistic effect of the innovative rotary scraper blade and the vibration mechanism. The scraping plate can directly scrape impurities on the surface of the filter screen in the rotating process, the built-in reciprocating lead screw drives the scraping block to move up and down, and three-dimensional cleaning is formed. Meanwhile, through the linkage design of a fixed block and a movable rod, a spring B and a vibration rod are matched, so that the filter screen generates periodic vibration, and impurities attached to the deep layer are effectively shaken off. The dual cleaning mechanism of mechanical scraping and high-frequency vibration remarkably improves the filtering efficiency, and the problem of blockage caused by impurity accumulation of traditional purification equipment is solved.

The invention provides a blowout preventer and a rubber core sealing adjusting method, and belongs to the technical field of drilling equipment. The blowout preventer comprises an upper shell and a lower shell connected with the upper shell, the self-aligning blowout preventer further comprises a self-aligning assembly, and the self-aligning assembly is installed between the upper shell and the lower shell and is positioned and fixed through the upper shell and the lower shell; the self-aligning assembly comprises a first shell, a rubber core, an upper aligning unit and a lower aligning unit, the first shell is fixedly arranged between the upper shell and the lower shell, the rubber core is arranged in the first shell and makes contact with the upper aligning unit and the lower aligning unit which are installed in the first shell, and the upper aligning unit is used for adjusting the position between the upper portion of the rubber core and the drill rod. The technical problem that in the prior art, in the dynamic well drilling process of a drill column, due to heterogeneity of stratum lithology, the drill column generates high-frequency vibration, so that sealing deviation of a rubber core of the rotary blowout preventer and a drill rod causes sealing failure can be effectively solved.

The invention discloses an anti-vibration stabilizing device for an air outlet pipeline of an electrolytic cell, a ring-shaped pipe frame is arranged on the periphery of a material pipeline in a full-surrounding or partial-surrounding manner, and a multi-layer composite vibration isolation part is filled between the inner side of the ring-shaped pipe frame and the contact side of the material pipeline; a self-adaptive damping adjusting piece is arranged between the ring-shaped pipe frame and the fixed frame body; the device further comprises a vibration data acquisition mechanism arranged on the material pipeline. And the multi-layer composite vibration isolation part has the wear-resisting and broadband damping capabilities through the wear-resisting layer and the damping layer, and the high-frequency vibration attenuation rate is larger than or equal to 90%. A honeycomb air cavity and a closed cavity are filled with media or open cavity micropores are designed, the rigidity and damping can be adjusted in a self-adaptive mode, and low-frequency buffering or specific-frequency resonance suppression is achieved. The regular hexagonal honeycomb structure is high in geometric stability and uniform in stress dispersion, the material consumption is reduced by 30-40%, the weight is reduced, and the anti-fatigue life is prolonged. The air cavity is axially and flexibly arranged, vibration in different directions is absorbed in a targeted mode, and the multi-dimensional damping effect is improved.

The invention relates to the technical field of vehicle fault diagnosis, and discloses a vehicle anomaly detection system and method based on multi-modal data analysis, and the system builds a time zero point alignment relation between control domain data and a high-frequency vibration signal through a hardware synchronous triggering unit by using a level pulse; performing angular domain resampling on the non-stationary vibration signal by adopting a coarse-fine coupling phase locking technology and combining rotating speed polynomial fitting and instantaneous frequency ridge line extraction; the system constructs a virtual reference model by using a deep neural network, and deduces a predicted ideal angular domain characteristic spectrum of a current working condition according to a dynamic state vector; and on the basis, calculating the residual error of the actual spectrum and the predicted spectrum, removing noise through order correlation mask filtering, and judging abnormity based on the mahalanobis distance of a residual error vector and a statistical threshold value. The method effectively solves the problems that the signal is not stable and weak fault features are difficult to extract under the variable speed working condition, and improves the detection accuracy.

The invention relates to the field of litter collection equipment, in particular to litter collection equipment for forestry carbon sink metering, which comprises a treatment box, a feed inlet is formed in the top of the treatment box, a driving box, a first collection box and a second collection box are arranged on the treatment box, the treatment box is communicated with the first collection box and the second collection box, and a screening plate is arranged in the treatment box. A screen is arranged on the screening plate; shaking rods are arranged at the bottom of the screening plate, a shaking barrel is arranged in the treatment box, one end of each shaking rod extends into the shaking barrel to be provided with a shaking block, the shaking blocks are vertically and slidably matched with the inner side wall of the shaking barrel, and pressure relief holes are formed in the upper portion of the side wall of the shaking barrel; a classification assembly, an air supply assembly and a driving assembly are arranged in the driving box. The air supply assembly is driven by the driving assembly to operate so that air can be supplied into the shaking barrel, the screening plate is driven by the shaking blocks, the shaking rods and the pressure relief holes to shake periodically, high-frequency vibration of the screening plate can be achieved, and the screening penetration rate of the screening plate to fine particles such as humus is increased while blockage of the screen is reduced.