374 results about "Body vibration" patented technology

The invention relates to an intelligent monitoring alarm method and system for a motor controller, and the method comprises the steps: obtaining an internal circuit signal and a body vibration signal of the motor controller, carrying out the combined noise analysis, and generating a dynamic noise baseline; performing component fault identification based on the dynamic noise baseline and the internal circuit signal to obtain a fault precursor current feature; performing component impact response separation based on the dynamic noise baseline and the body vibration signal to obtain hidden fault vibration characteristics; performing component association mapping on the fault precursor current feature and the hidden fault vibration feature to obtain an internal fault component identifier; and performing alarm analysis based on the fault component identifier, the fault precursor current feature and the hidden fault vibration feature to obtain a graded alarm decision. According to the invention, early fault features can be captured more sensitively, and false alarms and missing alarms are reduced.

The invention discloses a loss tuning method of a power transformer, which is applied to a transformer body sleeved with a winding and comprises the following steps: applying scanning current excitation containing fundamental waves and harmonic waves to the winding, synchronously acquiring a body vibration signal and converting the body vibration signal into a frequency spectrum; extracting a formant from the frequency spectrum, matching the formant with a theoretical electromagnetic force wave and a structure inherent frequency library, and identifying a coupling formant to be optimized; aiming at each formant, installing a vibration exciter in a corresponding area, sending out an anti-phase periodic pulse force, and dynamically and finely adjusting a pulse force parameter by monitoring a vibration response in real time and taking equivalent mechanical impedance minimization as a target; when the optimal damping state is achieved, the vibration exciter output rod is locked, and static pre-tightening force is formed; and after all formants are adjusted and optimized in sequence and the prestress is locked, final pressing and fixing of the transformer body are completed in the state that the pretightening force is kept. According to the invention, the dynamic loss source of the individual transformer can be actively inhibited and cured before assembly and curing, the operation loss and noise are effectively reduced, and the structural stability is improved.

The invention discloses a multi-level track disease recognition system based on vehicle body vibration data, and particularly relates to the field of blasting auxiliary devices. Comprising the steps that a data acquisition module acquires heterogeneity data of a track environment; the environment adaptive module analyzes the correlation between the vehicle body vibration data and the heterogeneity data, constructs a dual-view similarity matrix, and realizes adaptive classification of the track environment through a spectral clustering method; the label enhancement module generates high-quality pseudo labels and forms a completely labeled sample set; the disease recognition module adopts an attention-guided multi-task cascade CNN architecture, and outputs a multi-level recognition result containing disease positions and severity. By the adoption of the technical scheme, the problem that an existing track state evaluation method cannot evaluate the real state of track diseases in a complex environment is solved, and good performance is achieved in the aspect of geometric and structural disease recognition.

A concrete mortar mixing and stirring system belongs to the technical field of concrete production equipment. Aiming at the problems that an existing stirring system is difficult to accurately judge the mixing uniformity of concrete mortar and the quality is easily influenced due to excessive stirring or insufficient stirring, the system comprises a stirring tank, a vibration signal acquisition unit, a torque monitoring unit and a control unit, stirring blades in a stirring tank are driven by a motor, a vibration signal acquisition unit captures a tank body vibration signal, a torque monitoring unit detects the torque change of the motor, and a control unit decomposes the tank body vibration signal into a frequency domain signal and extracts a preset aggregate collision vibration frequency band energy value to generate a vibration energy sequence; and analyzing the torque change fluctuation intensity to generate a torque variation coefficient sequence, calculating a correlation coefficient sequence of the two, generating an adaptive shutdown threshold by a sliding time window, and cutting off a motor power supply when the correlation coefficient sequence is continuously lower than the threshold for a preset number of times. The device is mainly used for automatic stirring control of concrete mortar, and precise starting and stopping of the stirring process are achieved.

The invention discloses a refrigerator door body vibration induction detection control system, and relates to the technical field of refrigerator detection, the system comprises the following components: a vibration data acquisition subsystem, a data processing and analysis subsystem, a machine learning analysis module, a fault early warning and maintenance prompt subsystem and a data storage and management subsystem; through the high-precision piezoelectric vibration sensor and an advanced signal processing algorithm, the vibration state of the refrigerator door body can be monitored in real time, the system can accurately capture the key information of the vibration amplitude, frequency, phase and waveform of the door body, and the vibration data is deeply analyzed by using a machine learning algorithm, so that the accuracy of the vibration state of the refrigerator door body is improved. The door body fault early warning and accurate positioning function is achieved, the problems that due to the door body fault, the sealing performance of the refrigerator is reduced, and energy consumption is increased are effectively solved, the service life of the refrigerator is prolonged, and meanwhile the maintenance cost and time cost of a user are reduced.

The invention provides a method and a device for determining a linear operation and maintenance standard of a long-span bridge. The method comprises the following steps of: firstly, determining a quantitative relation between a track static long-wave uneven cis-chord measurement value and vehicle body vertical acceleration data; determining a vehicle body vibration acceleration limit value caused by the dynamic deformation of the high-speed railway bridge according to a vehicle body vertical acceleration limit value caused by the uneven static long wave of the track on the high-speed railway bridge, a vehicle body vibration acceleration value caused by the dynamic deformation of the high-speed railway bridge and a vehicle body vibration acceleration value caused by the random irregularity of the track; and finally, determining a linear chord measurement value of the high-speed railway bridge according to the quantitative relation and a vehicle body vibration acceleration limit value caused by dynamic deformation of the high-speed railway bridge. The method can effectively solve the problem that in the technical field of rail transit, the operation and maintenance standard of the line shape of a long-span bridge is not accurate.

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 belongs to the technical field of vertical mill gearboxes, and particularly discloses a vertical mill gearbox gear life online intelligent regulation and control method and system.The method comprises the steps that a main test gearbox gear rotating speed signal and a box body vibration acceleration signal are collected, whether a gear enters a degeneration stage or not is judged, and if the gear enters the degeneration stage, the gear is started; if yes, constructing a life prediction model and predicting the remaining life of the gear of the vertical mill gearbox by using the life prediction model; in combination with a vertical mill gearbox gear remaining life prediction result and the current expected remaining life, optimal regulation and control working condition parameters are calculated on the basis of a model-free adaptive regulation and control MFAC theory and by introducing a pseudo partial derivative PPD and a tight format dynamic linearization CFDL model; and based on the optimal regulation and control working condition parameters, the operation working condition of the vertical mill gearbox gear is regulated and controlled. By adopting the technical scheme, the remaining life of the gear of the vertical mill gearbox is predicted, the running state of the gear of the gearbox is regulated in real time, and the actual service life of the gear of the vertical mill gearbox is prolonged to be close to the expected service life.

The invention discloses a digital audio processing system based on a DSP, and relates to the field of digital audio processing, and the system comprises an acquisition module which is used for capturing vehicle body vibration sound waves, environment incoming noise and in-cabin original audio signals, and generating a multi-dimensional acoustic data stream through voiceprint feature extraction so as to output an original sound signal matrix; the analysis module is used for mapping the original sound signal matrix to a phase space, extracting singular attractor features of noise evolution through a chaos theory, and generating a noise dynamic model; according to the method, various sound waves can be accurately captured and converted into multi-dimensional data, deep analysis and targeted counteracting of noise are achieved on the basis, meanwhile, an acoustic adjustment scheme matched with the environment in the cabin can be generated, the acoustic environment can be dynamically optimized in combination with the physiological state of passengers, and potential noise is pre-judged in advance for suppression.

The utility model provides an automobile chassis with an anti-collision buffer structure, which relates to the technical field of automobile chassis, and comprises a chassis body, one side of the chassis body is fixedly connected with a front connecting piece, and the other side of the chassis body is fixedly connected with a rear connecting piece. The bottom of the chassis body is provided with an auxiliary buffering device for protecting and buffering the bottom of the chassis, the auxiliary buffering device comprises an air bag and a protection plate, the air bag is expanded when the air bag is inflated, and the protection plate moves downwards under the action of expansion of the air bag, so that the bottom of the chassis is protected and buffered. The protection plate can shield the bottom of the chassis, collision between the riding chassis and the ground during driving of an automobile is prevented, damage to the chassis body is reduced, most automobile body vibration caused by collision can be counteracted through the expanded air bag, the riding comfort is improved, and the maintenance cost is reduced.

The present invention provides a sleep breathing monitoring method and a non-contact sleep breathing monitoring device, including: collecting air pressure vibrations caused by the vibrations of the sleeper's body based on an air pressure sensor to obtain air pressure vibration data; extracting breathing-related features from the air pressure vibration data; performing cluster analysis on the breathing-related features to obtain corresponding cluster clusters; performing pattern recognition on the cluster clusters to determine the breathing pattern category; generating a breathing pattern model according to the breathing pattern category, and monitoring the breathing state of the sleeper based on the breathing pattern model to monitor whether the sleeper's breathing is normal. In the present invention, the air pressure vibrations caused by the vibrations of the sleeper's body are collected based on the air pressure sensor, without contacting the sleeper and without causing interference to the sleeper; the air pressure vibration data is analyzed, thereby realizing contactless sleep breathing monitoring of the user.

The invention relates to the field of pump room intelligent control, and particularly discloses a pump room control method and system. The method comprises the steps that pump body vibration signals and current signals are collected, and input characteristic data of a unified structure are constructed; inputting the feature data into the fusion depth diagnosis model, extracting multi-dimensional features, completing association modeling, and generating a risk assessment information structure; generating an alarm mark and an isolation demand according to the risk information, and executing a fault pump isolation operation; a standby pump scheduling sequence is generated according to the isolation result, and a switching instruction is sent out; and combining system feedback information to optimize a diagnosis model and a scheduling strategy. According to the invention, the fault identification precision, the isolation control efficiency and the intelligent level of standby pump dispatching of the pump room under complex working conditions are obviously improved.

The invention belongs to the technical field of machine room inspection, and particularly discloses a communication machine room inspection device and method based on computer vision, and the device comprises an inspection vehicle, a buffer seat, a loading seat, a camera, an execution mechanism and an image processing system, the buffering seat is provided with mechanical anti-shake structures such as a sliding groove, a sliding block, a movable frame and a spring damper, and the influence of vehicle body vibration on image acquisition stability can be effectively reduced. The device further comprises functional components such as a laser distance sensor and a mechanical arm. The method comprises the steps of image acquisition, image comparison, abnormity identification, operation execution, pressure feedback control and the like, and can realize automatic abnormity identification, target positioning, intervention execution and alarm and report generation. The intelligent, automatic and anti-interference capabilities of communication machine room inspection are improved, and the system is suitable for high-frequency, large-scale and multi-type equipment inspection scenes.

The invention discloses an underground breathing flow monitoring method and system based on adaptive filtering, and the method comprises the steps: collecting an airflow signal at the mouth and nose of a miner in real time through an MEMS hot film sensor, and synchronously collecting a body vibration signal through an acceleration sensor, and obtaining original breathing data containing dynamic interference and corresponding vibration data; the method comprises the following steps: preprocessing original breathing data containing dynamic interference and corresponding vibration data to obtain a digital breathing flow signal and a standardized reference vibration signal; jointly inputting the digital respiratory flow signal and the standardized reference vibration signal into a filtering processing model based on an LMS adaptive algorithm to obtain a target respiratory flow signal; performing data analysis on the target respiratory flow signal, and calculating to obtain a real-time respiratory flow value, respiratory frequency and tidal volume parameters of the monitored object; the real-time breathing flow value, the breathing frequency and the tidal volume parameters obtained through calculation are locally displayed in real time, and monitoring of breathing flow data during underground operation is achieved.

The invention belongs to the technical field of coal mine underground roadway rapid tunneling, and particularly relates to an anchor drill stabilizing system of a tunneling and anchoring all-in-one machine. Comprising a temporary supporting vibration reduction assembly and a drilling rig anchor drill vibration reduction assembly which are arranged on a machine body, the temporary supporting vibration reduction assembly comprises a supporting body, a lifting assembly and a driving source, the lifting assembly comprises a rod sleeve and a screw, the top end of the rod sleeve is connected with the supporting body through a pin shaft and a knuckle bearing, and the bottom end of the screw is connected with the output end of the driving source; the rod sleeve is in threaded connection with the screw rod, and the rod sleeve and threads of the screw rod form a wedge-shaped inclined plane for self-locking; the drilling rig anchor drill damping assembly comprises a drilling rig, a drilling rig support and a hydro-pneumatic suspension device, the drilling rig is installed on the drilling rig support, and the hydro-pneumatic suspension device is additionally installed between the drilling rig and the drilling rig support. The driving source rotates forwards to drive the rod sleeve to reduce the height of the supporting main body, and rotates backwards to lift, so that the supporting main body is always in contact with the top plate without damaging the top plate, and the vibration of the machine body of the digging and anchoring integrated machine in the digging and anchoring process is reduced.

The invention discloses a construction method of a ship underwater radiation noise online prediction model. The method comprises the following steps: collecting ship body vibration signals and far-field radiation noise signals as a sample database of a radiation noise prediction model; on the basis of a differential evolution feature optimization algorithm, two dimensions of a vibration sensor and a 1 / 3 octave frequency band of prediction model input features are optimized, and an optimal feature subset is obtained to serve as input of a prediction model; establishing an integrated learning prediction model, taking a ridge regression model as a base learning device, and determining optimal parameters of each base learning device by adopting grid search and cross validation to obtain n different base learning devices; and finally, taking a mean value of prediction results of the base learners as a final prediction result of the radiation noise prediction model, and realizing online prediction of the ship radiation noise. According to the method, the utilization rate of existing test data can be improved, the degree of dependence of a prediction model on specific distribution type data is reduced, the sensitivity of the model to small changes of data distribution is relieved, and the model robustness and prediction precision are improved.

In order to reduce vehicle body vibration caused when moving wheels meet obstacles and improve riding comfort, the following technology is adopted: a wheel shaft does certain arc motion around a frame fixing shaft, when a vehicle advances and meets the obstacles, the wheels move backwards (relative to the vehicle body), the impact force of the obstacles during advancing is reduced, meanwhile, the wheels are lifted upwards, and the wheels are driven to move forwards. And the vertically upward shaking force of the obstacle to the wheels is reduced. Therefore, the obstacle crossing capability of the vehicle is improved. A horizontally-installed spring is adopted to control the wheel shaft to do certain arc motion around the frame fixing shaft, and the spring generates component force in the horizontal direction so as to balance backward resistance borne by the wheels. The invention has the following beneficial effects: when the vehicle encounters an obstacle at first, the wheels move backwards and upwards under the action of impact force, so that the vibration of the obstacle to the vehicle body is reduced in a large-radian manner. Namely, vibration force in the vertical direction caused by obstacles on the vehicle body and the human body is reduced. And meanwhile, the impact force on the wheels is reduced, and the whole structure of the vehicle is protected to a certain degree.

The invention relates to a sentry mode interaction method and device and electronic equipment, and belongs to the technical field of intelligent driving, and the interaction method comprises the steps: obtaining a visual danger value, a radar alarm value and a vehicle body vibration value, obtaining a risk value according to the visual danger value, the radar alarm value and the vehicle body vibration value, obtaining a risk level according to the risk value, and obtaining a risk result; according to the risk level, the interaction mode is determined, the interaction mode comprises low-risk interaction, medium-risk interaction and high-risk interaction, the interaction mode is changed from low risk to high risk, the corresponding reminding level is progressive layer by layer, and dangerous events can be effectively prevented from continuing to spread.

The invention discloses a railway vehicle body abnormal vibration diagnosis and recognition method. The method comprises the following steps that 1, an accelerometer sensor is used for collecting vehicle body vibration signals; step 2, using EMD to decompose the vibration signal x (t), wherein each mode IMFi (t) after decomposition corresponds to a certain frequency component in the vibration signal; step 3, after preprocessing the data, selecting modal data of the first 3-5 orders, and then performing fast Fourier transform on each modal IMFi (t) to obtain frequency spectrum information of each modal IMFi (t); step 4, smoothing processing is carried out on the frequency spectrum image; 5, calculating the energy ratio P of the vibration dominant frequency; step 6, calculating a performance index Q; and 7, judging whether the vehicle is in an abnormal state or not according to the P and the Q. According to the method, the vibration energy ratio index P and the performance index Q are used in cooperation, whether the stability, comfort and other performance of vehicle operation are good or not can be clearly known, and meanwhile whether the vehicle body or the bogie has obvious harmonic vibration or not can be judged.

A system generates realistic vibrations in a vehicle body. The system includes the vehicle, a power supply, a processor circuit including a processor and memory, and a user interface configured to select a frequency and amplitude for a sound or vibration. The system also includes at least one amplifier in communication with the user interface and configured to: receive power from the power supply and output an electrical signal at the selected frequency and amplitude. The system also includes at least one transducer configured to: attach to the vehicle, receive the alternating current electrical signal at the selected frequency and amplitude, and generate a vibration at the selected frequency and amplitude. When the transducer is attached to the vehicle, the vibration generated by the transducer is transmitted into components of the vehicle.

The invention belongs to the technical field of equipment state monitoring, and discloses a relay state monitoring and diagnosis method and system. Vibration time domain signals of all monitoring points in the working process of a relay are collected, a time delay characteristic matrix is constructed through segmented cross-correlation operation, and a near-field sound source candidate area is analyzed and recognized in combination with the spatial divergence of a time delay gradient vector field. A sound-vibration coupling propagation model is introduced, near-field sound source excitation and structure conduction vibration components are distinguished, multi-component signal decoupling is realized through spatial constraint and frequency domain sparsity constraint, and a relay body vibration signal is effectively separated. The method comprises the following steps: performing time-frequency decomposition on a body vibration signal, extracting a transient impact feature of a contact action and a steady-state vibration feature of coil excitation, constructing a multi-dimensional state feature vector, and realizing state diagnosis through similarity matching with a preset feature library. According to the invention, the early fault detection sensitivity and diagnosis accuracy of the relay are improved, and a reliable basis is provided for preventive maintenance.

The invention belongs to the technical field of suspension vibration reduction, and particularly relates to a suspension system design method which comprises the following steps: determining the load gravity center of a whole vehicle according to the overall arrangement requirement, preliminarily arranging an action system, and respectively arranging a wheel train and a suspension guide mechanism. In the aspect of wheel train arrangement, according to the principle that the load gravity center and the elastic center coincide as much as possible, the wheel train position is preliminarily arranged, random road excitation is generated, an equivalent linear dynamics model of a vehicle is established, and dynamics matching calculation is carried out. In the aspect of suspension guide mechanism arrangement, a hydro-pneumatic suspension mathematical model is generated, the determined suspension damping ratio is input into the hydro-pneumatic suspension mathematical model to guide damping valve design and generate nonlinear damping characteristics, and meanwhile, the calculated axle loads are input into the hydro-pneumatic suspension mathematical model to generate nonlinear damping characteristics. The method is used for generating and calculating non-linear elastic characteristics and comprehensively evaluating whether vehicle body vibration response characteristics, suspension heat balance temperature rise characteristic curves and key and heavy part reliability analysis results meet design index requirements or not.

The invention relates to a sensor implanting device and a sensor implanting system. The sensor implanting device comprises an upper cover, a needle assisting device module, an emitter module and a bottom cover, the needle assisting device module is integrated in the upper cover and comprises a movable triggering support, a fixing frame, a needle locking assembly and an elastic element, the movable triggering support is pressed and driven by the upper cover to release a guide needle, and the guide needle is stably withdrawn by means of the elastic element. According to the device, through an integrated structure and a cooperative transmission design, the implantation operation process is remarkably simplified, the number of parts and the manufacturing cost are reduced, and meanwhile, needle body vibration in the traditional needle withdrawing process is effectively inhibited, so that wound injury is reduced, the pain of a patient is relieved, and the safety and comfort in the implantation process are improved.

The invention relates to the technical field of inner frame assembly, and discloses a British inner frame assembly machine, which comprises a machine table, a machine frame, a control panel and a control panel, the vibration disc feeding system comprises a universal head body vibration disc, a first elastic piece clockwise vibration disc, a first elastic piece anticlockwise vibration disc, a second elastic piece clockwise vibration disc, a second elastic piece anticlockwise vibration disc, an upper cover vibration disc and a vibration disc feeding channel connected with all the vibration discs. The rotating disc mechanism is installed on the machine table and comprises a rotating disc and a plurality of workpiece bases distributed on the rotating disc in the circumferential direction. And the arranged vibration disc feeding system can automatically and orderly convey all parts to the rotary disc mechanism, so that the steps of manual operation are greatly reduced, and the assembly efficiency is improved. And a plurality of workpiece seats are designed on the turntable mechanism, so that a plurality of plug inner frames can be assembled at the same time, and the production efficiency is further improved. The vibration disc material taking mechanism can accurately take out parts from a vibration disc and place the parts on a workpiece seat through accurate cooperation of a transverse moving air cylinder, a lifting air cylinder and a clamp air cylinder, and the assembling precision and stability are guaranteed.

The utility model belongs to the technical field of automobile shock absorption, and discloses an automobile shock absorption simulation device which comprises a shock absorption supporting plate, a main body shock simulation assembly, a block shock simulation assembly and a bumping and climbing simulation assembly. The partitioning vibration simulation assembly is detachably arranged at the top of the damping supporting plate, the jolting and climbing simulation assemblies are oppositely arranged on the two sides of the damping supporting plate, and the jolting and climbing simulation assemblies on the two sides are rotationally connected with the damping supporting plate. Through the main body vibration simulation assembly with the overall vibration effect, the damping effect of an automobile in a vibration road section during use can be effectively detected, through arrangement of a plurality of auxiliary vibration grooves, auxiliary vibration supporting columns and auxiliary vibration springs, the vibration simulation effect is improved, and the damping effect of the automobile is more truly detected; and the influence on the outside during vibration simulation is reduced through the vibration supporting base made of the foam aluminum alloy material.

The invention relates to the technical field of natural gas use monitoring, in particular to a gas meter tamper detection method and system. The method mainly comprises the following steps: fixing the acceleration detection unit; inputting a preset acceleration reference value M; the acceleration detection unit collects a plurality of groups of acceleration first data K1 and sends the data to the controller; the controller calculates to obtain a first judgment value N and compares the first judgment value N with a preset acceleration reference value M; if the first judgment value N is larger than the preset acceleration reference value M, multiple sets of acceleration second data K2 are collected again, the acceleration second data K2 are converted into an angle target value g, then the angle target value g and an angle threshold value G are compared, and if the angle target value g is larger than the angle threshold value G, a meter dismounting alarm signal is generated. According to the method, unavoidable watch body vibration caused by watch dismounting can be accurately detected, the watch dismounting behavior is identified according to the vibration, and the alarm device can be prevented from being mistakenly triggered in a non-watch-dismounting scene.

The invention discloses an abnormal sound detection method of a natural gas engine and a related device, and relates to the technical field of software. An abnormal sound noise signal, an engine body vibration signal and a cylinder ignition signal of the natural gas engine are synchronously collected; performing wavelet processing on the abnormal sound noise signal to determine an abnormal sound occurrence moment; determining a one-cylinder ignition moment based on the one-cylinder ignition signal, and calculating a time difference between the one-cylinder ignition moment and the abnormal sound occurrence moment; analyzing the engine body vibration signal to obtain the single-cycle rotation duration of a crankshaft in the natural gas engine; and the rotation angle difference of the crankshaft is calculated according to the time difference and the single-circle rotation duration, and the abnormal sound cylinder number and the abnormal sound type of the natural gas engine are determined according to the rotation angle difference. By analyzing the abnormal sound noise signal, the engine body vibration signal and the one-cylinder ignition signal, the abnormal sound cylinder number and the abnormal sound type of the natural gas engine can be rapidly positioned, cause parts are convenient to replace, a large amount of manpower and material resources are saved, and meanwhile the diagnosis accuracy can be improved.

The invention discloses a dynamic balance adjusting device and method for a magnetic suspension fan rotor, and relates to the technical field of self-adaptive adjustment. The method comprises the steps of collecting a suspension bearing displacement signal, a magnetic suspension coil current signal, a machine body vibration acceleration signal, a motor end electromagnetic response signal and a rotor angular displacement parameter, and constructing a rotor operation signal set; performing preprocessing and feature extraction on each signal to obtain four types of feature data; inputting the comprehensive characteristic data into a rotor balance diagnosis model to identify the unbalance state of the rotor; based on an amplitude phase inversion algorithm, solving a virtual counterweight amplitude and a phase adjustment amount, and injecting into a suspension coil to execute adjustment; judging whether dynamic correction is needed or not according to the real-time comprehensive characteristic data, and if yes, generating a dynamic gain coefficient to correct the adjustment parameters and then injecting the adjustment parameters into the suspension coil again; according to the invention, real-time identification and self-adaptive adjustment are carried out on the mass unbalance vibration of the magnetic suspension fan rotor, the operation vibration of the rotor is effectively inhibited, and the balance stability and reliability of the system are improved.

The invention discloses a human body protection active suspension system control method, device and equipment and a storage medium, and the method comprises the steps: collecting vibration acceleration data of a vehicle body and an unsprung in real time after a human body protection function of a current vehicle is activated; converting the vibration acceleration into a vertical vibration frequency, and judging whether the vertical vibration frequency exceeds a preset vertical threshold value or not; when the vertical vibration frequency exceeds a preset vertical threshold value, the current of the active actuator is adjusted; the vehicle body vibration frequency can be effectively prevented from falling below the safety limit value, health risks caused by continuous exposure of pregnant women and other special groups to high-frequency vibration are avoided, it is ensured that the vibration environment in the driving process meets the human body tolerance standard, transmission of road surface vibration excitation is reduced through a calibration algorithm, the vehicle body vibration frequency is improved, and the driving safety is improved. The protection on the human body is enhanced, the human body is prevented from being exposed in a high-frequency vibration environment for a long time, and the control speed and efficiency of the active suspension system are improved.

The invention discloses a transformer reactor vibration and noise reduction test device and vibration and noise reduction method, and the device comprises an oil tank housing which comprises a tank cover, a tank wall and a tank bottom which are detachably connected; the transformer body is arranged in the oil tank shell and comprises an iron core and a coil, and an iron core column of the iron core is sleeved with the coil; the transformer body vibration isolation device is connected between the transformer body and the box bottom, and an auxiliary jacking piece is arranged on the transformer body; the tank wall sound absorption and insulation device is arranged on the surface of the oil tank wall. After the box cover and the box wall are opened, the clamping force of the iron core and the pressing force of the coil can be adjusted, the vibration isolation material of the device body can be replaced, and operation is convenient. According to the invention, corresponding control parameters can be conveniently tested and verified, so that a reference and a basis are provided for a vibration and noise reduction scheme of the transformer reactor.