199 results about "Body vibration" patented technology

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.

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 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 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 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 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 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 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 provides a passenger car body fatigue life prediction and early warning method fusing visual and frequency domain data. The method comprises the following steps: synchronously acquiring a car body vibration time domain signal and a road surface image; converting the time domain signal into a power spectral density curve, extracting frequency domain features, and combining image visual features to jointly identify the grade of the road surface; constructing and dynamically calibrating a digital twin simulation model based on the curve; fusing physical, frequency domain, virtual, visual and knowledge data, and predicting the residual fatigue life through a neural network; on the basis of the power spectral density curve, calculating equivalent fatigue stress through a Miller criterion to carry out fatigue evaluation, and calculating maximum quasi-static stress according to a criterion 3 to carry out static strength evaluation; and dynamically triggering and managing monitoring, early warning and emergency three-level closed-loop early warning according to the road grade, the fatigue damage value and the stress intensity ratio. Accurate sensing of working conditions, fatigue-strength collaborative evaluation and multi-stage dynamic early warning are realized, and the accuracy and practicability of passenger car body safety monitoring are improved.

The invention relates to the technical field of flow signal processing and leakage early warning, in particular to an oil engine intelligent monitoring system and method based on multi-source data analysis. A data acquisition unit acquires an oil return pipe flow pulse signal, an engine body vibration signal and an oil pump load rate parameter in real time; the vibration direction analysis unit distinguishes vertical and horizontal vibration dominant modes according to the load rate and outputs directional data and compensation and early warning signals, and the eddy current pseudo peak value detection unit is matched with a pulse template by means of wavelet decomposition, identifies the amplitude, frequency and dislocation characteristics of a pseudo peak value at a pipe diameter sudden change position, and outputs the directional data and the compensation and early warning signals. The dynamic baseline correction unit constructs a vibration and eddy current coupling factor model, compensates a pseudo peak lifting effect at a low load and corrects time sequence offset at a high load, the leakage judgment unit calculates corrected flow deviation degree and weighted residual energy distribution characteristics, leakage alarm is triggered when an alarm threshold value is exceeded, misjudgment caused by interference is eliminated, and the oil engine leakage monitoring accuracy is improved.

The invention discloses a vehicle control method and device, and the method comprises the steps that a vehicle control device can adjust a vehicle to a target mode, and the anti-carsickness function of the vehicle in the target mode is in an enabled state; the anti-carsickness function presets a human body whole body vibration measurement evaluation index in a corresponding preset range, and the human body whole body vibration measurement evaluation index is associated with at least one of the following items: a frequency weighted acceleration value, a frequency weighted acceleration root-mean-square value, a maximum transient vibration value MTVV, a motion sickness dose value MSDV or a vibration dose value VDV; and adjusting the torque of the vehicle to enable the whole body vibration measurement evaluation index to be within a corresponding preset range. Therefore, on the premise of responding to the real driving intention of the driver, the output torque is adjusted to relieve the carsickness feeling of passengers, and the purpose of considering the real driving intention of the driver and the dynamic property of the vehicle is achieved.

The application relates to a ship body vibration suppression parameter determination method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring a coupling finite element model of an equipment, a base and a ship body structure; performing power flow analysis on the coupling finite element model to obtain a power flow analysis result; identifying a key transmission path based on the power flow analysis result; and determining path stiffness matching parameters of path blocking and integrated frequency parameters of the equipment, the base and the ship body based on the key transmission path. The method can improve the vibration suppression effect and facilitate modification of the parameters in the later stage.

The present application relates to the technical field of transformer fault diagnosis, and in particular to a transformer body vibration signal analysis and fault diagnosis method, device and medium. The present application combines the kurtosis characteristics of the vibration signal, adopts a semi-soft threshold function wavelet denoising method based on the threshold selection method of the 3sigm rule, and achieves better denoising effect. Through the fault diagnosis model of the organic fusion of the two improved HHT transforms-mobilenetV2 model, combined with different feature extraction methods, it is more conducive to retaining the effective features of the vibration signal; the improved mobilenetV2 model designs a multi-scale deep convolution model, introduces a channel attention mechanism before the channel-by-channel convolution, and after multi-scale deep convolution feature extraction, a multi-source data attention mechanism is introduced; without affecting the safe and reliable operation of the transformer, the intelligent diagnosis of the vibration state fault of the transformer is realized.

The invention relates to the technical field of engineering surveying, in particular to a three-dimensional laser engineering surveying scanner based on unmanned aerial vehicle remote sensing image sensing access and a use method thereof, the scanner comprises an unmanned aerial vehicle body and a bearing plate arranged on the unmanned aerial vehicle body, and the bearing plate is provided with symmetrically arranged fixing plates; the supporting assembly is arranged on the fixing plate, and a scanner body is connected to the supporting assembly; the vibration suppression mechanism is arranged on the bearing plate and connected with the supporting assembly, and the bearing plate is further provided with a bidirectional damping mechanism connected with the supporting assembly. When the scanner body generates low-frequency large-amplitude vibration or high-frequency small-amplitude vibration due to wind power or machine body vibration, suppression or rigid supporting actions can be performed on different vibrations, so that the measurement accuracy of the scanner body is ensured.

The present application relates to the field of medical informatics, and provides a tooth abnormal vibration signal detection system, comprising: an arc-shaped base body; a plurality of arc-shaped base body vibration sensors embedded in the arc-shaped base body, each arc-shaped base body vibration sensor corresponding to one of two sides of a predetermined implant implantation position of a user and being adjacent to a tooth, for real-time sensing of an external mechanical vibration signal acting on the arc-shaped base body and the two sides of the tooth; a bone conduction vibration sensor for sensing a bone conduction vibration signal conducted to the predetermined implant screw base through the jaw bone of the user; and a signal processing module for receiving the external mechanical vibration signal and the bone conduction vibration signal respectively, performing frequency domain conversion, calculating the similarity of first and second frequency spectrum characteristics, and outputting a same frequency judgment result. The present application improves the real-time detection accuracy of implant nail and tooth root collision, and improves the implant success rate and safety.

The embodiment of the invention discloses a vehicle seat adjusting method and device, equipment and a medium. The method comprises the steps of determining target relative data, and when the target relative data is smaller than or equal to a preset relative threshold value, obtaining target operation data and target object weight of a target vehicle; based on the target vehicle model, according to the target operation data and a preset model algorithm, determining a target vehicle body vibration frequency, and according to the target vehicle body vibration frequency and a preset damping configuration table, determining initial damping data; determining target damping compensation data according to the weight of the target object and a preset damping compensation table, and determining target damping data according to the initial damping data and the target damping compensation data; and the target valve opening degree is determined according to the target damping data and a preset valve opening degree table, the pre-adjusted target electromagnetic valve is adjusted again according to the target valve opening degree, and an adjusted target seat is obtained. And the accuracy and the timeliness of adjusting the vehicle seat are improved.

The invention discloses an image translation-based inclined view angle rotator vibration displacement measurement method. The method comprises the following steps of: performing cutting operation on an acquired rotator vibration image under a standard view angle and an acquired rotator vibration image under L random view angles; randomly extracting a preset number of random view angle cutting images and standard view angle cutting images of matched frames from the L random view angles, and taking the standard view angle cutting images as labels of the random view angle cutting images to construct a data set; training and verifying the image translation model through the training set and the verification set to obtain a trained image translation model; selecting one of the obtained rotating body vibration images of the preset time length under the L random view angles, inputting the selected rotating body vibration images into a trained image translation model, and obtaining a standard view angle image of a frame number corresponding to the preset time length; carrying out image splicing operation according to the standard view angle images with the frame number corresponding to the preset duration to obtain a spliced image; and performing edge detection on the spliced image, extracting an edge contour of the rotating body, obtaining sub-pixel-level displacement data, and converting the sub-pixel-level displacement data into a displacement value under a world coordinate system. According to the invention, the vibration displacement of the rotor can be effectively and accurately extracted from a plurality of shooting angles, and a more reliable and accurate scheme is provided for the measurement of the vibration displacement of the rotating body.

The utility model discloses a kind of EGR valve fixed support that can prevent vibration, it is related to EGR valve technical field, including mounting plate, EGR valve body, further include: adjusting assembly, set in the mounting plate, for adjusting the length of fixed support;Locking assembly, set in the mounting plate, for locking adjusting assembly;Mounting assembly, set in the adjusting assembly, for installing EGR valve body;Fixed component, set in the mounting assembly, for fixed mounting assembly;Damping component, set in the mounting assembly, for preventing EGR valve body vibration, by the cooperation of adjusting assembly, utilize the knob of rotation to drive screw rod rotation, so that screw rod drives adjusting plate movement, to make the sliding plate fixedly connected with adjusting plate slide along support shell, to reach the length of fixed support can be adjusted, so that fixed support can be installed on different vehicle models, expand the application range of fixed support.

The invention relates to an in-vehicle active noise reduction method based on coupling of a sound field base and engine frequency, and belongs to the technical field of noise control. The method comprises the following steps: acquiring working condition data, an in-vehicle noise signal and vehicle body vibration data, and integrating the data into a unified data frame; performing modal decomposition on an in-vehicle sound field based on a unified data frame, extracting modal features, constructing a dynamically updated sound field modal model, analyzing a response relationship between each order frequency of an engine and a sound field modal, and performing fitting to generate a coupling coefficient matrix; calculating an offset sound wave parameter according to a matrix weight ratio, synthesizing a global comprehensive offset signal, and combining with a real-time noise signal for dynamic correction; driving partition loudspeakers in the vehicle to output offset sound waves, and adjusting the output intensity of the loudspeakers to optimize energy consumption. Accurate coupling of the engine frequency and the in-vehicle sound field mode is achieved, the problem that noise reduction lags behind under the complex working condition in the prior art is solved, and noise reduction uniformity and working condition adaptability are improved.

The utility model belongs to the technical field of relays, and particularly relates to an anti-vibration relay, which comprises a relay body, the bottom end of the relay body is connected with a mounting base, the front end of the relay body is provided with a connecting plate, the side wall of the relay body is connected with a fixed locking plate block, the bottom end of the relay body is connected with an armature, and the armature is connected with a fixed locking plate block. The surface of the fixed locking plate block is connected with a bolt, the bottom of the fixed locking plate block is connected with a spring, the bottom end of the fixed locking plate block is further connected with a protective cover, and the spring is matched with the protective cover, so that the fixed locking plate block is conveniently connected with the mounting base. The spring can deform, and the influence of vibration of the relay body on the armature is effectively relieved. And meanwhile, the protective cover protects the bolt connecting part, and the problems of difficult disassembly and assembly and thread slipping caused by dust accumulation are solved. In addition, the limiting plate can be rotatably opened through the supporting rod, so that disassembly and assembly of the connecting plate and maintenance of the relay body are greatly facilitated.

The utility model discloses an AGV trolley with a damping function, which comprises a trolley body, a bottom plate is arranged on the trolley body, a mounting box is arranged on the bottom plate, a plurality of hinge rods are hinged to the mounting box, the other end of each hinge rod is hinged to a fixing plate, one of the hinge rods penetrates through the fixing plate to be connected with a tire, a driving motor is arranged on the bottom plate, and the driving motor is connected with the tire. The output end of the driving motor is connected with the gear set, a buffering mechanism is arranged between the mounting box and the fixing plate, a mounting plate is arranged at the front end of the trolley body, and an obstacle removing mechanism is mounted on the mounting plate. The AGV with the damping function can effectively absorb impact energy generated when the wheels run on an uneven road surface, reduces vibration of a vehicle body, can push obstacles blocked in front of the vehicle body to one side in cooperation with the obstacle clearing mechanism, prevents tasks of the AGV from being interrupted, and improves the working efficiency of the AGV. Meanwhile, vehicle body vibration caused by sudden collision or impact can be avoided, and the overall stability is improved in cooperation with a buffering mechanism.

The invention relates to measurement, in particular to the technical field of bridge health monitoring, and discloses a deflection deformation monitoring device for a steel trestle, which comprises a steel truss and a bridge body, the bottom of the bridge body is provided with a control part, the control part is provided with a vibration guide part, the vibration guide part is provided with a deformation monitoring part, and the deformation monitoring part is connected with the steel truss. A damping part is arranged in the control part, a distance measuring part is arranged on the damping part, the control part comprises a mounting plate, the mounting plate is mounted at the bottom of the bridge body, a control box is mounted on the mounting plate, one side of the control box is of an inclined structure, the vibration guide part comprises a sliding way, the sliding way is mounted on the inclined surface of the control box, and the distance measuring part is arranged on the sliding way. By adopting the triple design of vibration guiding integration, thermal expansion and cold contraction compensation and damping anti-interference, the interference of concrete bridge body vibration and steel truss thermal deformation on deflection monitoring is effectively counteracted, the misjudgment of the laser displacement sensor is avoided, and the core problem of data deviation in the prior art is solved.

The utility model relates to the technical field of electronic manufacturing equipment, in particular to a cover plate glass splitting device. The device comprises a splitting machine body, a clamping device is arranged on the upper surface of the splitting machine body, the clamping device comprises a special-shaped frame, the special-shaped frame is fixedly connected with the upper surface of the splitting machine body, four grooves are formed in the surface of the special-shaped frame, the surfaces of the grooves of the four special-shaped frame are connected with adjusting plates in a sliding mode, and the adjusting plates are arranged in the grooves of the special-shaped frame. Every two of the four adjusting plates form a group, connecting rods are fixedly connected to the sides, close to each other, of the adjusting plates in each group, clamping plates are rotatably connected to the arc surfaces of the connecting rods, and L-shaped plates are fixedly connected to the surfaces of the clamping plates. The glass cracking machine solves the problems that when a worker cracks glass, the glass is subjected to the vibration effect of the cracking machine body, so that the glass is likely to move in the glass cracking process, the worker has to press the glass with hands, and the operation risk coefficient of the worker is increased.

The application provides a magnetic valve type static synchronous compensator fault diagnosis and state monitoring method and system, relates to the technical field of state monitoring of a compensator, and extracts a dynamic sensitivity characteristic value by calculating a derivative of instantaneous phase angle distortion and combining a nonlinear sensitivity amplification term; extracts a vibration energy characteristic value based on body vibration acceleration and a high-frequency impact penalty term, realizes accurate characterization of electromagnetic and mechanical two-dimensional characteristics, orthogonally maps the above cross-domain characteristics and connects them in time sequence, constructs a two-dimensional time sequence trajectory mapping set, and intuitively represents an electromechanical coupling dynamic evolution process; in combination with a safety boundary, intercepts an out-of-bound trajectory segment, solves a tortuosity and a return parameter, accurately filters power grid transient interference by using a two-channel logic of a phase space topological form, realizes high-sensitivity diagnosis and reliable isolation of a substantial internal fault of the compensator.

The present application relates to the technical field of adjusting docking mechanism, in particular to a kind of conveying line adaptive adjusting docking mechanism, including motor mechanism and conveying belt, motor mechanism is fixedly connected with slide rail, slide rail is slidably connected with sliding base, sliding base is provided with hinged ball, hinged ball is connected with sliding base ball, hinged ball is fixedly connected with hydraulic cylinder, hydraulic cylinder is slidably connected with hydraulic rod, and hydraulic rod is fixedly connected with suction cup, the present application is equipped with two positioning rods one adjusting assembly on hydraulic cylinder, adjusting assembly can control the position of positioning rod to move to the side and adjust the position of suction cup, the design avoids motor mechanism to be influenced by ground flatness, vehicle body vibration, leading to photovoltaic panel to appear deviation when being placed on conveying belt and causing battery piece edge collision, friction, so the design improves the positioning accuracy of motor mechanism under uneven ground, vehicle body vibration and the like, improves the adaptability of motor mechanism.

The utility model relates to the technical field of oxygen sensors, and discloses a novel flange type oxygen sensor structure. The novel flange type oxygen sensor structure comprises a columnar shell, a flange plate and an oxygen sensor, the flange plate is fixedly connected to the outer side of the columnar shell, and a fluororubber gasket is arranged on the right wall of an inner cavity of the columnar shell. The utility model has the advantages of preventing water vapor and impurities from entering the shell through a thread gap to damage the sensor, improving the disassembly and assembly speed of the flange plate and the machine body and the like, and solves the problems that when the machine body vibrates, the threaded connection between the sensor and the mounting frame is loosened, and then the water and impurities in the detected gas enter the shell through the loosened thread gap to cause damage to the sensor. And a plurality of bolts are needed for connection of a flange plate used for installing the sensor structure, so that the installation speed is relatively slow.

The application discloses a physiotherapy robot for whole-body rehabilitation conditioning, which comprises a bed body, a foot vibration physiotherapy device and a hip screening device. The foot vibration physiotherapy device is arranged at one end of the bed body and can generate vibration along the length direction of the bed body. The hip screening device is arranged on the bed body and located at one side of the foot vibration physiotherapy device, and can generate vibration along the width direction of the bed body. The physiotherapy robot can use the foot physiotherapy device to perform whole-body vibration physiotherapy on the human body, can use the hip screening device to perform whole-body vibration physiotherapy on the human body, can perform positioning and matching conditioning on the neck and lumbar spine, can massage the legs, can assist sleep through music and can assist heat therapy, and has perfect whole-body vibration function, sleep conditioning function and spine rehabilitation conditioning function.

This application discloses a motion data acquisition method, device, smart brooch, and storage medium, relating to the field of motion recognition technology. The method is applied to a smart brooch equipped with an inertial measurement unit and a vibration measurement unit. The method includes: acquiring acceleration data collected by the inertial measurement unit and acquiring body vibration data of the user collected by the vibration measurement unit; when valid values ​​in the acceleration data are missing, compensating the acceleration data based on the body vibration data, and analyzing the compensated acceleration data to obtain the user's motion data; when no valid values ​​are missing, determining the user's motion data based on the acceleration data. Compared to existing methods that rely on inertial measurement units to acquire motion data, this application can compensate for missing acceleration data using body vibration data, reducing discontinuities in motion data and thus improving the completeness and reliability of motion data acquisition.