211 results about "Mechanical noise" patented technology

The invention discloses a multi-sensor fusion-based people flow dynamic identification method and system, relates to the technical field of intelligent traffic, and is used for solving the problems of people flow perception distortion and shielding tracking interruption in a complex environment. The method comprises the following steps: firstly, constructing an environment interference matrix, and dynamically distributing sensor weights according to a radar electromagnetic attenuation rate, thermal imaging illumination abrupt change and a piezoelectric mechanical noise factor; when the thermal imaging density weight is too low and the radar speed weight is greater than a threshold value, triggering piezoelectric gait verification and outputting calibration fusion data; mapping the fusion data to a dynamic grid, calculating three indexes of density entropy, velocity mutation and flow direction consistency, generating a congestion vector, and marking a risk boundary; for a shielding target, generating a virtual track by combining the final known position, speed and density distribution, and optimizing model parameters when a re-identification error exceeds a limit; and finally, a hierarchical dredging instruction is judged and triggered through the virtual track and the risk area space overlapping, and the gate is dynamically adjusted based on the congestion vector to release.

The invention relates to the technical field of artificial intelligence, and discloses a motor manufacturing quality intelligent detection system which comprises a sensor data acquisition module, a data processing module, an artificial intelligence analysis module, a decision feedback module and a report generation module. Aiming at electromagnetic interference and mechanical noise generated by multiple processes, a self-adaptive signal filtering mechanism is established, transient interference components of data collected by a sensor can be reduced in real time, the extraction integrity of key characteristic parameters such as vibration and temperature is ensured, the misjudgment risk caused by signal distortion is reduced, the problem that the omission ratio is too high in traditional detection is solved, and the detection accuracy is improved. And a dynamic association rule base is constructed, so that the system can capture early fault symptoms which cannot be recognized by a traditional single-dimensional model, prediction blind areas caused by multi-field data splitting are reduced, and the product life prediction precision is improved.

The invention relates to the related technical field of image recognition, in particular to an internal mixer rotor defect detection method and system based on image recognition and a medium, and the method comprises the steps: extracting frequency domain and time domain features of an internal mixer rotor according to vibration signals, optimizing image matching defect visual vectors, configuring vibration signal feature vectors, and evaluating defects through a defect classification network after fusion. And if the result exceeds the limit, triggering reminding and linking the mechanical arm to stop. The technical problems that when an internal mixer works, due to oil contamination coverage, imaging on the surface of a rotor is fuzzy, the rotor is easily interfered by mechanical noise in a high-temperature and high-noise environment, and the defect detection precision of the internal mixer rotor is limited are solved, frequency domain and time domain features of vibration signals and optimized rotor image visual features are fused, a defect classification network of an attention mechanism is introduced, and the defect detection precision of the internal mixer rotor is improved. The method has the technical effects of dynamically focusing a tiny defect area, eliminating oil stain interference, adapting to contrast optimization to cope with a high-temperature environment, still keeping clear imaging in an oil stain environment, and ensuring the defect detection precision of the internal mixer rotor.

The invention relates to the technical field of noise measurement systems, in particular to a noise measurement system for a new energy tire, which comprises a tire positioning and driving unit, a sensor unit, a data acquisition and synchronization unit, a data processing unit, a data analysis unit and a man-machine interaction and display unit, the tire positioning and driving unit simulates different loads, different speeds and different road conditions of a tire by using a rack type tire positioning device, and drives the tire to rotate by using a brushless mute motor, so that a high-speed rotating effect without introducing extra mechanical noise is realized; the sensor unit is arranged on the two sides of the tire and at the position close to the ground through an acoustic sensor free field type condenser microphone array, is fixed to the suspension support through an acceleration sensor and is used for collecting vibration signals; the running states of the tire under different loads, speeds and road conditions are accurately simulated, noise data of the tire under various actual working conditions are obtained, and the measurement result is closer to the real situation.

The present invention relates to a new type of solenoid valve in the field of solenoid valve technology, comprising a valve body and a valve mechanism, wherein an inlet channel and an outlet channel are arranged in the valve body, the valve mechanism comprises a seal for isolating the valve cavity and an electromagnetic structure for driving the seal to move, the electromagnetic structure comprises a cover body, a magnet and a coil, and the magnet and the coil are installed in the cover body at intervals. The present invention embeds the magnet and the coil in the cover body, thereby greatly reducing magnetic leakage, improving the magnetic field utilization rate of the coil, reducing the number of coil turns, reducing power consumption, and effectively solving the heating problem of the solenoid valve. At the same time, the cover body can effectively isolate the external magnetic field, avoid interference with the internal electromagnetic structure, and ensure the stability of the working operation of the solenoid valve; the coil and the valve core with cantilever support are arranged in the gap between the isolation cover and the magnet, so that the solenoid valve will not have any mechanical friction during the process of driving the switch, and the problems of wear and mechanical noise of the solenoid valve are completely solved.

The invention relates to the technical field of voice recognition, and discloses a voice instruction recognition and cleaning control method for a sweeping robot, which comprises the following steps: synchronously reading a dust collection motor driving pulse width modulation value and a rolling brush motor load current value of the sweeping robot while acquiring an audio signal acquired by a microphone; retrieving and interpolating in a preset working condition noise spectrum mapping table according to the non-acoustic operation state data, determining a predicted mechanical noise power spectrum at the current moment, taking the predicted mechanical noise power spectrum as a priori reference, calculating an instantaneous signal-to-noise ratio of the predicted mechanical noise power spectrum and the frequency domain feature sequence, and constructing a frequency domain confidence mask; according to the method, a feedforward prediction mechanism is constructed by introducing non-acoustic prior information, and response lag of traditional acoustic posteriori estimation during sudden change of working conditions is avoided.

The invention discloses an elevator steel belt damage detection and quantitative analysis system based on eddy current and magnetic flux leakage dual-mode detection, and aims to solve the problems of single-mode information loss and serious industrial field strong noise interference in the existing steel belt detection. The system synchronously integrates an eddy current sensor, a magnetic flux leakage sensor and an encoder through a multi-probe array adapter; and multi-dimensional damage physical information in the steel strip is obtained. An improved wavelet packet transform-empirical mode decomposition (WPT-EMD) collaborative noise reduction algorithm is adopted, and in combination with a sub-band energy entropy and a self-attention mechanism, non-stationary mechanical noise is effectively filtered out. A multi-rule feature extraction engine is used for extracting smooth residual errors, derivative mutation and other features, a support vector machine (DE-SVM) model introducing physical priori knowledge weights is constructed, and the small sample recognition problem is solved in combination with a virtual sample generation technology. The method can realize high-precision positioning and quantitative evaluation of steel strip damage under complex working conditions, and has the characteristics of strong anti-interference capability, high identification accuracy and good generalization performance.

The invention relates to the technical field of intelligent communication, in particular to an AI (Artificial Intelligence)-based communication voice noise reduction method, which comprises the following steps of: 1, collecting noise of multiple scenes, recording noisy voice through a microphone array, and covering complex environments such as traffic, restaurants, meetings and the like; 2, constructing a dialect voice database, adding a noise mixing layer (such as sudden whistling and keyboard tapping) and a scene evolution layer, and simulating a real environment; according to the method, multi-scene noise is collected, noisy voice is recorded through a microphone array, a dialect voice database is constructed, a noise mixing layer is added, voice features of different dialects in a complex environment are simulated, a deep learning model is deployed on edge equipment, and low-delay noise reduction is achieved through real-time processing. Mechanical noise, aerodynamic noise and external environment noise are distinguished through the dynamic noise recognition module, the noise reduction intensity is adjusted to adapt to scenes such as elevators, meeting rooms and vehicles, and therefore the method can adjust the noise reduction intensity in a self-adaptive mode.

The invention discloses a sanitation vehicle real-time diagnosis system and method based on a distributed ICU controller. The method comprises the following steps: S1, collecting multi-dimensional vibration data in a key system of a sanitation vehicle in real time; s2, preprocessing the data, performing noise reduction processing, and separating mechanical noise and environmental noise in the vibration signal; s3, sparse fault features are extracted, and feature fusion is carried out according to physical characteristics and fault modes of the key system; and S4, based on the extracted fusion features, using a deep learning model to predict a fault probability. According to the method, the problem that environmental sanitation vehicle vibration data is complex and contains a large amount of noise is effectively solved, the accuracy and reliability of fault diagnosis are remarkably improved, the risk of misjudgment and missed judgment is reduced, the real-time requirement of a distributed ICU controller is met, and the reliability of the distributed ICU controller is improved. The fault detection capability of the sanitation vehicle is remarkably improved in a complex noise environment, and the high efficiency and the stability of urban environment cleaning operation are ensured.

The invention discloses a high-precision identification method and system for a noise source of an asynchronous motor, and relates to the technical field of asynchronous motor detection, and the method comprises the following steps: constructing a finite element model of a to-be-analyzed asynchronous motor, dividing the surface into a plurality of detection sub-regions, and carrying out the operation simulation of the finite element motor, analyzing vibration speed and sound pressure signal data of each sub-region, synchronously acquiring actual signals, calculating relative differences with simulation data, evaluating detection priorities by combining historical fault times, forming a detection sequence according to the priorities, and sequentially performing sound-vibration coherence analysis and coherence function calculation to obtain a sound-vibration coherence detection result; according to the method, noise frequency bands are classified into structural noise and air noise, order tracking analysis is performed on the structural noise obtained through classification, an amplitude stability index and an amplitude change gradient are calculated, automatic classification and identification of electromagnetic noise and mechanical noise are realized based on a preset threshold value, and the efficiency and accuracy of fault processing are remarkably improved.

The utility model relates to the technical field of expansion valves, in particular to an electronic expansion valve. The electronic expansion valve comprises a valve body assembly, a valve element assembly and an elastic piece, an assembly hole and a valve port are formed in the valve body assembly, the assembly hole comprises a threaded section and a limiting section, internal threads are arranged in the threaded section, and a limiting part is formed in the limiting section. The valve element assembly comprises a screw rod and a valve needle, the screw rod is provided with an external thread, and the external thread is in threaded fit with the internal thread so as to drive the valve element assembly to move in the axial direction of the electronic expansion valve. A stop part is arranged on the outer wall of the valve element assembly, the elastic piece is arranged on the periphery of the valve element assembly in a sleeving mode and arranged between the stop part and the limiting part, and the two ends of the elastic piece are matched with the stop part and the limiting part in an abutting mode so as to apply acting force to the valve element assembly to move in the direction away from the valve port. The upper end face of the flange of the external thread can abut against the lower end face of the flange of the internal thread. According to the electronic expansion valve, the problem that an existing electronic expansion valve is prone to generating large mechanical noise in the operation process is solved.

The invention relates to an installation structure of a brushless motor rotor, which comprises a rotor, and a through shaft hole is formed in the center of the rotor and is used for installing a steel shaft on the rotor along the axial direction; the magnet and the limiting sleeve are arranged on the periphery of the rotor; an elastic limiting structure is arranged on the rotor around the shaft hole; the elastic limiting structure comprises a limiting side and an elastic side which are arranged in the circumferential direction, and the limiting side and the elastic side jointly form an elastic limiting channel coaxial with the shaft hole. The limiting side is formed on the limiting claw and limits the steel shaft in the radial direction; the elastic side is formed on the elastic claw, and the elastic claw can be bent and deformed relative to the shaft hole, so that a dynamic gap is formed between the elastic side and the steel shaft. The beneficial effects of the invention lie in that the elastic limiting structure is arranged, under the condition that the coaxiality of the steel shaft and the rotor is maintained, through dynamic gap compensation, the gap between the rotor and the steel shaft is eliminated in real time, the rotor is dynamically attached to the steel shaft, the rigid collision between the rotor and the steel shaft due to radial shaking is avoided, and the mechanical noise of the motor is reduced.

The utility model discloses a meshing type load chain structure and a chain group thereof. The chain structure comprises a first chain A and a second chain B which are oppositely arranged, the first chain A and the second chain B are each formed by connecting a plurality of chain links with two or more inner chain pieces and outer chain pieces in series, wherein the outer chain pieces are connected with the chain links in an end-to-end alternating mode through pin shafts. The inner chain pieces and the outer chain pieces are the same in shape and structure and are in axial symmetry. Each inner chain sheet of the first chain A and the inner chain sheet of the second chain B are oppositely and correspondingly arranged and are meshed with each other; each outer chain sheet of the first chain sheet A and the outer chain sheet of the second chain B are oppositely and correspondingly arranged and are meshed with each other; and the opposite surfaces of the inner chain sheets and the outer chain sheets are parallel and continuous smooth curved surfaces. By the adoption of the chain structure and the chain set, the load generated when the chain structure is used for conducting linear reciprocating transmission in a limited space can be effectively increased, and the mechanical noise problem generated when the chain structure and the chain set are in the working state is remarkably reduced.

The present invention relates to a machine joint, wherein a connector is fixed on the top surface; baffles are connected to the edges of the left and right sides, and grooves are provided on the baffles; a threaded hole is provided on the front side, and grooves are provided outside the threaded hole; a connector is fixed on the bottom surface, and a threading hole is designed. The present invention also relates to a flexible robot arm, comprising a base, a plurality of machine joints and an end mechanism connected in sequence, the base is designed with grooves, the end mechanism is designed with connecting parts to connect the machine joints, and the machine joints are connected by SMA wires and tension springs. The machine joint and flexible robot arm designed by the present invention can solve the problems of the robot arm being heavy due to the superposition of multiple sets of motors and metal gear parts, which is not conducive to flexible deployment and portable application; the problem that the metal gears generate large mechanical noise when running, which is not suitable for application scenarios that are sensitive to environmental noise; and the problem that the motor and gear combination structure is large in size and has many components, resulting in high maintenance costs and failure rates.

The application discloses a noise control method, system and device of a micro engine and a storage medium, belongs to the technical field of engine noise control, and solves the technical problem that the micro engine is difficult to achieve an ideal noise reduction effect. The method is: collecting intake / exhaust noise, mechanical noise and combustion noise data in the working process of the micro engine, and performing empirical mode decomposition to decompose the noise signal into a plurality of IMF components of intrinsic mode functions; an LSTM neural network model is constructed; the LSTM neural network model is trained to obtain an EMD-EGMGWO-LSTM model; in the working process of the micro engine, noise data is collected in real time and input into the trained EMD-EGMGWO-LSTM model to obtain a predicted value of the noise data; and an anti-phase noise control signal opposite in phase and matched in amplitude is generated in real time to achieve an efficient active noise reduction effect. The control strategy can be continuously optimized and adjusted, and the noise reduction effect is improved.

This invention provides a noise evaluation apparatus and method for microscope devices. [Solution] A device for evaluating the effect of noise acting on a microscope device, the device comprising: a microscope device that detects a signal generated by a sample and forms a corresponding detection signal; a noise sensor unit that detects noise and forms a corresponding noise detection signal, and includes a mechanical noise sensor for detecting mechanical noise and a magnetic field sensor for detecting magnetic field noise; a control unit that generates a monitor signal corresponding to the drive signal of the microscope device; and a signal processing unit that receives one or more of the noise detection signal and the monitor signal and performs signal processing, the signal processing unit calculates the correlation between one or more of the noise detection signal and the monitor signal and the detection signal.

The utility model relates to the technical field of floor washing machine, and disclose a kind of noise reduction fuselage, including shell, the inside of the shell is equipped with driving motor by connecting rack installation;By setting the form of fully-enclosed shell, the mechanical noise generated when driving motor operates can be blocked, thereby avoiding the sound leakage problem caused by traditional heat dissipation opening, improving the noise reduction effect, by the heat conduction ring plate and the heat dissipation fin set, the surface of driving motor is directly attached using heat conduction ring plate, the heat generated during its operation can be conducted to the heat dissipation fin above the shell, thereby using the air flow outside the shell to dissipate heat, avoiding to open the shell, further, the heat dissipation coil pipe is embedded in the heat conduction ring plate, the cooling medium is circulated by pump body drive, the heat can be brought to the liquid storage box to disperse, further guarantee the heat dissipation effect, using the two heat dissipation modes to cooperate, under the premise that the shell is not opened, better heat dissipation efficiency can be realized.

The present invention discloses a guide shoe structure of a magnetic levitation elevator, comprising a mounting seat and a guide shoe body, wherein a guide rail body is provided on the top of the mounting seat, and thorn strips are symmetrically installed on both sides of the top of the mounting seat; guide shoe coils are symmetrically provided on both sides of the top and bottom of the guide shoe body, and connecting blocks are symmetrically installed in the middle of both sides of the guide shoe body, and mounting shells are installed on the tops of both sides of the guide shoe body, through holes are opened on both sides of the mounting shells, and connecting plates are slidably connected inside the through holes; the present invention uses magnetic levitation technology to operate in a state where the guide shoe and the guide rail are not in contact, thereby achieving low vibration and low noise; through the cooperation of the guide shoe body and the guide shoe coil, the elevator runs along the guide rail body, and the guide shoe body and the guide rail always maintain an appropriate distance between them under normal conditions. Compared with the previous roller guide shoe type elevator, the mechanical noise generated when the roller rotates and the guide rail contacts can be eliminated, thereby achieving silent operation.

Routines and methods disclosed herein can increase a power efficiency of a prosthetic hand without drastically reducing the speed at which it operates. A prosthesis can implement an acceleration profile, which can reduce an energy consumption of a motor, or an amount of electrical and / or mechanical noise produced by a motor, as the motor transitions from an idle state to a non-idle state. A prosthesis can implement a deceleration profile, which can reduce the energy consumption of the motor, or an amount of electrical and / or mechanical noise produced by a motor, as the motor transitions from a non-idle state to an idle state.

The utility model discloses a kind of shutter equipment of strong light self-adaptive processing, it is related to shutter system application field, including bearing plate, the top of bearing plate is rotatably connected with movable ring, the outside of movable ring is provided with outer gear ring, the inside of movable ring is provided with inner gear ring, the side of movable ring is rotatably connected with transmission gear, transmission gear and outer gear ring are mutually engaged, transmission gear is connected with driving device, the top of bearing plate is provided with shutter assembly.The utility model can avoid mutual impact between curtain by setting multiple shutter assembly stacks, reduce the noise when shutter system works, four groups of shutter assembly are stacked from top to bottom distribution, four groups of curtain in four groups of shutter assembly are evenly distributed with exposure hole as center, curtain can achieve the purpose of plugging exposure hole when moving, and because multiple curtain is at different horizontal height, multiple curtain will not impact each other, reduce the generation of mechanical noise when shutter system works.

The invention relates to the field of flying saw servo control, in particular to a cold cutting flying saw servo synchronous tracking control method and system, and the method comprises the steps: firstly carrying out the time sequence alignment and detrending processing of current and speed signals through a synchronous collection link; secondly, calculating an original torque containing full-band information based on an inverse dynamic model; fast and slow dual-channel filtering is constructed, and high-frequency impact and steady-state load features are extracted respectively; and finally, calculating a dynamic confidence coefficient weight by using transient energy analysis, performing adaptive weighted fusion on the dual-channel signals, and injecting current loop feedforward. According to the scheme, mechanical noise is shielded, and meanwhile rapid compensation of millisecond cutting impact is achieved. According to the method, fast and slow dual-channel filtering based on an inverse dynamic model is adopted, a dynamic confidence coefficient weight is calculated in combination with a transient energy difference value, and self-adaptive fusion compensation of disturbance signals is achieved.

The invention relates to the field of ship vibration noise control, in particular to a ship high-pressure pipeline system pump source operation condition installation posture low-noise compensation structure which comprises a pump set, a balance flexible connecting pipe is fixedly connected to an inlet and outlet pipeline of the pump set, and a vibration reduction platform is arranged on the pump set. The vibration reduction platform is provided with a vertical adjusting assembly relative to the pump set, and the vertical adjusting assembly limits the pump set to be in a vertical state. The method has the effects that the low-noise operation posture of the pump set is guaranteed, the operation inclination displacement of the pump set is reduced, the vibration noise of the pump set in the operation state is reduced, and the ship mechanical noise is reduced.

The invention provides a water pump intelligent monitoring control system and an application method thereof. In the method, a control system firstly extracts a mechanical noise component corresponding to a real-time rotating speed from initial baseline data by utilizing the relevance between the rotating speed and mechanical noise, and then constructs a baseline noise template to obtain mechanical noise interference during normal operation of a water pump. And the control system subtracts the baseline noise template from the original acoustic vibration signal to obtain a residual signal containing impurity impact information. And then the control system carries out continuous wavelet transform on the residual signal, and a generated time-frequency energy distribution diagram can identify the time node and frequency characteristics of the impact event so as to realize positioning of the impact event. And finally, the control system calculates the impact event rate and the average impact energy value in a preset statistical time window, and quantifies the progressive accumulation process of blockage. According to the method, the technical problem that early blockage cannot be identified by fixed threshold alarm is relieved, and the timeliness of fault prediction is improved.

The invention relates to a real-time defect detection method and system for friction stir additive manufacturing, in particular to a real-time defect detection method and system for friction stir additive manufacturing based on structural sound signals. The invention aims to solve the problem that in-layer and interlayer defects and other internal defects are difficult to monitor in real time in the friction stir additive manufacturing process. According to the invention, a plurality of piezoelectric sensor arrays are installed on a main shaft or a sleeve of equipment, vibration signals are collected, and directional differential conversion is executed to suppress mechanical noise; performing short-time Fourier transform on the filtered signal to generate a time-frequency spectrum, and inputting a convolutional neural network model to output a defect probability; when the probability is larger than or equal to 0.8, defect coordinates (the precision is + / -0.5 mm) are positioned according to the motion trail of the machine tool, and technological parameters are adjusted in a self-adaptive mode at the next deposition layer for repairing. According to the invention, online identification of 0.4 mm level defects (the detection delay is less than or equal to 300ms) is realized, and the limitation that the traditional acoustic emission technology cannot realize spatial positioning is broken through. The invention belongs to the technical field of friction stir additive manufacturing.

The invention belongs to the technical field of metal stretching testing, and particularly relates to a metal stretching control system and method.The system comprises a double-end synchronous stretching module used for applying an axial stretching load to a sample; the multi-frequency vibration excitation module integrates a mechanical vibration unit and an ultrasonic vibration unit, superposes vibration energy through a sweep frequency excitation technology, and is mechanically coupled with the middle area of the sample; the composite environment simulation module comprises a noise generator and a temperature adjusting unit and is used for simulating mechanical noise and temperature control compensation; the multi-source data fusion module is used for synchronously acquiring a stress-strain curve, morphological change and thermal field distribution through a laser vibration meter and an infrared camera, and eliminating signal leakage interference through wavelet transformation; and an intelligent control terminal. According to the invention, the data precision can be further improved, and the data reliability of subsequent resonance frequency analysis and temperature compensation and the active regulation and control of material performance are ensured.

The invention discloses an air compressor with a noise reduction function, and relates to the field of air compressors, the air compressor comprises a machine base, the machine base is provided with a compressor power system and an air inlet filter, and the air inlet filter communicates with the compressor power system through a pipeline; the machine base is provided with a sound insulation cover, the compressor power system is covered with the sound insulation cover, and a pipeline connecting the compressor power system and the air inlet filter penetrates through the sound insulation cover. An air inlet of the air inlet filter is provided with a communicating pipe, the communicating pipe is communicated with an inner cavity of the sound insulation cover, and the sound insulation cover is provided with an air inlet. Mechanical noise generated in the operation process of the compressor power system is separated by the sound insulation cover, and air on the inner side of the sound insulation cover can continuously keep flowing, so that the influence of the sound insulation cover on the heat dissipation efficiency of the compressor power system is reduced.

This invention relates to a method for rapid three-dimensional acoustoelastic prediction and line spectrum identification of ship mechanical noise based on online equipment vibration monitoring. The method includes: establishing a refined three-dimensional acoustoelastic calculation model for the overall ship vibration and acoustic radiation calculation of the equipment-vibration isolator-base-shell; applying a unit sweep force at the equipment's center of gravity node to obtain the transfer function from the average vibration acceleration spectrum of each equipment's base surface to the radiated noise; multiplying the average vibration acceleration spectrum monitored online in real time with the transfer function to obtain the ship mechanical noise under real-time excitation of each equipment; performing incoherent superposition of the radiated noise from each equipment to achieve rapid three-dimensional acoustoelastic prediction of ship mechanical noise; extracting the line spectrum peak value, and determining the main source of the line spectrum peak value by calculating the energy contribution of each equipment to the line spectrum peak value. This method achieves high-precision online prediction and automatic identification of the line spectrum source of ship mechanical noise, with high computational efficiency and strong engineering applicability.

The utility model discloses a lock body convenient to assemble and capable of preventing abnormal sound, which comprises a mounting plate, a first mounting component is arranged at one end of the mounting plate, a second mounting component is arranged on the first mounting component, and by arranging the first mounting component and the second mounting component, a plastic block is adopted to replace a traditional metal material to be used for mounting. Compared with the prior art, the assembly process is greatly simplified, the production cost is reduced, material waste is reduced, the spring and limiting column structures are additionally arranged in the lock body, connection among all components is more stable, vibration generated in the operation process is effectively absorbed, mechanical noise is greatly reduced, and the service life of the lock is prolonged. In addition, by adopting buffer rubber and limiting holes, the stability and the mute effect of the device are further enhanced, meanwhile, the error-tolerant rate during assembly is increased, and installation is more convenient and faster.

The utility model relates to the technical field of centrifugal fans, and discloses a vibration and noise reduction type centrifugal fan, a vibration and noise reduction mechanism is arranged in a vibration reduction box, a fixing mechanism is arranged at the top of the vibration and noise reduction mechanism, and the vibration and noise reduction mechanism comprises a first vibration reduction assembly and a second vibration reduction assembly. The first vibration reduction assembly is arranged in the vibration reduction box, the second vibration reduction assembly is arranged at the bottom of the first vibration reduction assembly, and during use, through the arranged vibration reduction and noise reduction mechanism, when the fan body works or vibrates due to other factors, the vibration reduction and noise reduction effects on the fan body can be achieved; and through the arrangement of the upper damping device and the lower damping device, the fan can be quickly recovered to a stable state after being instantly impacted, meanwhile, sound radiation generated by vibration of the fan can be reduced, mechanical noise can be reduced, the noise reduction effect is achieved, when the fan body is used, vibration can be generated, and the noise is reduced. And during vibration, a bearing table extrudes a first telescopic rod and a first spring.

The invention belongs to the technical field of homogenizer control, and particularly relates to an operation parameter control method of a non-intrusive material homogenizer, which comprises the following steps: acquiring a load current of a main driving motor and a revolution phase of a revolution arm in real time; acquiring an interpolation current value when a system track passes through a preset Poincare section by monitoring a revolution phase and utilizing a linear interpolation method; performing normalization processing on the interpolation current value and constructing a Poincare feature point; calculating manifold dispersion based on the Poincare feature points in the sliding window; and adaptively calculating the target revolution speed of the next period by using an exponential function according to the manifold dispersion, and performing variable structure control on the homogenizer. According to the method, the intrinsic rheological characteristics of the material can be effectively stripped from the strong periodic mechanical noise, the problem of phase lag caused by filtering in the prior art is solved, and mixed end point judgment and self-adaptive energy consumption control of the homogenizer are realized.