149 results about "Vibration velocity" patented technology

The invention discloses a double-row medium-length hole blasting method for a filling stope. According to the method, a theoretical value range of each blasting parameter is deduced according to field engineering practice, an ore rock blasting crushing mechanism and a blasting parameter theoretical formula. The method comprises the following steps of: constructing a stope blasting model with different hole bottom distances, explosive unit consumption and resistance line combinations by using ANSYS numerical simulation software in combination with physical and mechanical properties of ore rocks and field explosive performance parameters, and preferably selecting double-row medium-length hole blasting parameters according to a chamber effective stress distribution rule and a roof area vibration velocity peak value of the ANSYS blasting model. According to the method, by selecting the double-row optimal medium-length hole blasting parameters, it is guaranteed that ore rocks in the chamber are fully crushed, the effective stress invading the roof and the blasting vibration velocity peak value are reduced, and the roof is prevented from being damaged. And meanwhile, the explosive loading amount is reduced, the economic cost is reduced, and the production efficiency of a mine is improved.

The invention belongs to the technical field of acoustics, and particularly relates to an index type open-pore rigid plate internal vector sound field calculation method, program and equipment and a storage medium. According to a Webster equation satisfied by a simple harmonic plane sound source excitation sound pressure field, circular piston radiation acoustic impedance on an infinite baffle plate is adopted to represent radiation impedance at an opening of an exponential open pore, a sound field analytical solution of any depth in the open pore of the exponential open pore rigid plate is constructed, system calculation is carried out in combination with sound source conditions, and a sound field of any depth in the open pore of the exponential open pore rigid plate is obtained. Therefore, sound field quantities such as internal accurate sound pressure and vibration velocity of the exponential type open-pore rigid plate under the vertical incidence condition can be quickly solved, and sound field distribution conditions under different section change rules and different open-pore rigid plate sizes can be calculated. According to the method, the calculation complexity is low, the influence problem caused by sound field changes under the non-free field condition can be solved, and the calculation stability and reliability under the complex boundary condition are ensured.

The invention provides a big data-based material detection method and system, relates to the field of material quality detection, and solves the technical problems of insufficient detection precision and poor supply chain quality control linkage in an existing material detection method. The method comprises the following steps: transmitting sweep-frequency sound waves to warehouse-in materials of a peripheral warehouse by using a sound wave transmitting device; collecting vibration velocity spectrum data and sound pressure gradient data of the warehouse-in material after the warehouse-in material receives the frequency sweep sound wave; according to the vibration velocity spectrum data and the sound pressure gradient data, calculating a defect index of the warehouse-in material; and when the defect index is greater than a preset threshold value, marking the warehousing material as a defective material, sending a traceability detection instruction to a previous node warehouse, and starting a grading detection process of the previous node warehouse. The method and the device are used for warehousing detection, quality traceability and full-chain management and control processes of the materials in the supply chain.

The invention relates to the technical field of tunnel engineering, in particular to a method and a system for optimizing design parameters based on unsymmetrical pressure tunnel blasting excavation dynamic response. The method comprises the following steps of obtaining geological parameters and construction parameters of surrounding rock of the bias tunnel, constructing a discontinuous structure equivalent damage model, and obtaining initial stress field distribution of a rock mass in combination with the discontinuous structure equivalent damage model, the geological parameters and the construction parameters; analyzing the time-varying modified dynamic mechanical parameters, and calculating through a stress wave propagation path and an energy dissipation rule to obtain a time travel curve of dynamic stress and vibration speed of each point of the surrounding rock in the blasting process; correcting a dynamic response index by using a self-adaptive artificial boundary condition to obtain a dynamic response state characteristic; and on the basis of the initial stress field distribution of the rock mass, the time history curve and the dynamic response state characteristics, optimal design parameters are obtained according to optimal design indexes. According to the method, the balance between the blasting vibration strength and the construction efficiency is realized by optimizing and adjusting the design parameters.

The invention discloses a method for identifying blade surge characteristics based on blade tip vibration velocity, and relates to the technical field of non-contact measurement of rotating machinery rotor blades. According to the method, the vibration speed and the vibration displacement of the blade tip are monitored according to the two blade tip timing sensors installed in a small angle difference mode, the theoretical arrival time of the blade does not need to be considered when the vibration speed and the vibration displacement of the blade tip are calculated, and the calculation efficiency and the calculation accuracy are greatly improved; in combination with the time-frequency enhancement characteristic of a synchronous compression wavelet transform method, the dominant subsynchronous frequency of the blade is tracked and identified through the blade tip vibration speed, and meanwhile, a frequency ridge line is extracted for surge frequency identification and a surge interval is positioned; and finally, the vibration intensity during blade surge is judged according to a proposed intensity quantized value calculation method based on the blade tip vibration speed. The method for efficiently calculating the blade tip vibration parameters is provided, the surge frequency can be quickly recognized, the surge interval can be positioned, and the surge intensity can be quantitatively evaluated.

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 invention discloses a graded blasting construction method for a shallow-buried soft rock tunnel sensitive section. The method comprises the steps that measuring points are arranged in a tunnel chamber, a ground surface non-cavity section and a cavity section, and blasting vibration data are obtained; peak vibration velocity prediction models are established in a partitioned mode, an attenuation model is adopted in a chamber, a correction term is introduced into a non-cavity section of the earth surface to correct the attenuation model, and a multivariable model is established for the cavity section through dimensional analysis by integrating the horizontal distance, the elevation difference, the explosive quantity, the rock mass density and the tensile strength; determining a ground surface vibration velocity safety threshold, and quantifying a cavity vibration velocity amplification coefficient and an influence range thereof; based on the peak vibration velocity probability distribution and a preset safety level, establishing a safe dose prediction model and a safe range model; and dividing control areas according to the model, and implementing graded construction. According to the method, the vibration propagation law can be accurately described, the cavity amplification effect can be quantified, dynamic prediction of the blasting safety explosive quantity and range is achieved, and disturbance of blasting vibration to surrounding rock is effectively controlled through hierarchical management and control.

The invention relates to a mobile dipole sound source positioning device and method of a minimum aperture array, the device comprises a vector sound transmission array and a processor, the vector sound transmission array comprises at least three array elements, the distance between the array elements is 1 / 6 lambda, lambda is the wavelength, the vector sound transmission array is used for measuring sound pressure signals, the processor is used for processing the sound pressure signals, and the processor is used for processing the sound pressure signals. And a positioning result of the dipole source is solved through a nonlinear optimization algorithm. The method comprises the following steps: measuring a sound pressure signal within a preset time by using a vector sound transmission array, and converting a measured time domain sound pressure signal into a frequency domain sound pressure signal; calculating a vibration velocity signal according to the frequency domain sound pressure signal, and establishing a dipole sound source propagation model; and performing nonlinear optimization solution on the dipole sound source propagation model to obtain a positioning result of the dipole source. Compared with the prior art, high-precision and real-time positioning of the moving dipole source can be realized.

The application discloses a kind of millisecond blasting initiation interval determination method, device and system.Compared with prior art, according to actual working condition, single-hole blasting test is carried out, and the measured vibration data of multiple monitoring points are obtained, then the frequency domain distribution is obtained by Fourier transform, the most dangerous monitoring point is determined according to the frequency domain distribution of each monitoring point and its measured vibration velocity and control vibration velocity, and the initiation interval is determined according to the measured vibration data of the most dangerous monitoring point, so that the vibration velocity is effectively controlled, and the construction is safer.Secondly, by adjusting the initiation interval in real time, the vibration velocity is less than the control vibration velocity, which further ensures the safety of blasting construction.

This invention provides a caster quality detection device and its operating method. The caster quality detection device includes a support base, a caster fixing assembly, a pressure mechanism, a rotating mechanism, a vibration velocity sensor, and a controller. The support base is provided with a guide post extending in the vertical direction. The pressure mechanism is mounted on the support base, and the caster fixing assembly is mounted on the drive shaft of the pressure mechanism. The pressure mechanism drives the caster fixing assembly to move vertically along the guide post. The rotating mechanism includes a drive component and a turntable. The drive component drives the turntable to rotate. The turntable is located below the caster fixing assembly. The pressure mechanism can apply a force toward the turntable to the caster fixing assembly. The vibration velocity sensor is disposed close to the caster fixing assembly. The vibration velocity sensor, the pressure mechanism, and the rotating mechanism are all electrically connected to the controller. The caster quality detection device can detect the caster quality in real time.

The application provides a fatigue test method and device for a target test piece and a train, and can be applied to the technical field of vehicle structure component testing. The method comprises the following steps: determining a target vibration speed amplitude according to an initial displacement amplitude corresponding to a test stress parameter and an initial vibration frequency corresponding to the target test piece; obtaining a test operation frequency corresponding to the test stress parameter determined by controlling the test device to perform fatigue test on the target test piece according to the target vibration speed amplitude, wherein the test operation frequency represents the number of stress application operations performed by the test device on the target test piece under the condition that the target test piece reaches a preset fatigue damage judgment condition; performing curve fitting on a plurality of test stress parameters and a plurality of test operation times corresponding to the plurality of test stress parameters to determine a target fatigue curve; and determining a fatigue state test result for the target test piece according to the target fatigue curve.

The application provides an alarm method and an alarm device, and relates to the technical field of automatic alarm. The alarm method is applied to an alarm device, and the alarm device is buried in a preset range of a target facility. The alarm device comprises a shell, a sound pressure sensor array rigidly connected with the shell, and a vibration velocity sensor array rigidly connected with the shell. The method comprises the following steps: acquiring a sound pressure signal collected by the sound pressure sensor array and a vibration velocity signal collected by the vibration velocity sensor array; detecting a sound-emitting target according to the sound pressure signal; detecting the direction of the sound-emitting target according to the vibration velocity signal; and sending an alarm information when the sound-emitting target is in a preset angle interval. The preset angle interval is used for indicating the direction of the target facility. The method is suitable for the process of risk alarm of the target facility, and is used for solving the problem of low alarm accuracy of current alarm products.

The invention discloses a high-gain spatial directivity construction method of a single-vector hydrophone, and relates to the technical field of underwater acoustic signal processing. Acquiring a sound pressure signal and a three-dimensional vibration velocity signal of the target area by using a three-dimensional vector hydrophone; equally dividing the orientation guide angle of the three-dimensional vector hydrophone to obtain a plurality of guide directions; for each guide direction, extracting a horizontal vibration velocity component in the three-dimensional vibration velocity signal, and obtaining two paths of dipole combined vibration velocity signals in each guide direction according to the horizontal vibration velocity component; performing synthetic convolution operation according to the sound pressure signal and the two paths of dipole combined vibration velocity signals in each guide direction to obtain a plurality of synthetic convolution combined signals in each guide direction; and according to the response of all the synthetic convolution combination signals in each guiding direction, obtaining the corresponding synthetic convolution combination directivity. According to the invention, high-gain high-order combination directivity is constructed, and the stability of the detection precision of an underwater weak target is improved.

This invention discloses a method for measuring the sound power level of woodworking machine tool noise based on the sound intensity method, belonging to the field of machine tool noise measurement technology. Specifically, it includes: determining the housing surface covered by the projection of the tool's rotation plane as the main sound radiation area, and the main bearing seat mounting surface as the secondary sound radiation area; acquiring sound pressure, vibration acceleration signals, and dynamic air pressure signals in the main sound radiation area; resampling the dynamic air pressure signal in the rotational angular domain, extracting the reference air pulse waveform synchronized with the tool tooth sweep, and establishing an airflow-induced sound pressure model based on this and the phase relationship; calculating the surface normal vibration velocity based on the vibration acceleration, and establishing a structural radiation sound pressure model based on the sound wave equation; decomposing the sound pressure signal to obtain estimates of two types of components, and obtaining the net sound intensity of the main sound radiation area after parameter optimization; extracting the vibration frequency band energy of the secondary sound radiation area, calculating the equivalent sound intensity based on the sound radiation efficiency model, and spatially integrating to output the total sound power level. This invention provides an effective method for the accurate measurement and control of woodworking machine tool noise.

The application belongs to the technical field of vector hydrophone, and particularly relates to a kind of column barrier under vector circular array element domain sound pressure vibration velocity joint anti-interference beam forming method, according to the model of vector circular array under cylindrical barrier plate, the element domain sound pressure guiding vector, radial vibration velocity guiding vector and tangential vibration velocity guiding vector are constructed, and then the spatial filtering pretreatment matrix is designed, the output data of vector array is preprocessed;Then use the sound pressure vibration velocity mutual covariance matrix generated by the filtered element domain data of each channel to combine the beam forming of each channel guiding vector, passive detection of target is realized, and the simulation experiment verifies that the achievement can improve the anti-interference ability of vector circular array under cylindrical barrier plate.

The application discloses a typhoon direction estimation method and system based on a single vector hydrophone and a terminal, and relates to the field of typhoon direction estimation.The method comprises the following steps: strictly checking sound pressure and three-directional vibration velocity data collected by the single vector hydrophone to ensure data quality; then, pre-processing the data, including filtering to remove noise interference; then, normalizing the filtered data; then, calculating sound intensity in each direction within a certain azimuth and pitch search range, constructing a sound intensity matrix, and finding the azimuth and pitch corresponding to the maximum sound intensity as the real reference value; dividing the processed data into a training set and a test set according to a certain proportion; constructing a multilayer perception machine model; and through experiments of different learning rates and small batch sizes, optimizing the model, selecting the parameters with the minimum loss to train the best model; finally, using the trained model to predict the test set to obtain the estimated value of the typhoon azimuth and pitch angle.The application effectively improves the accuracy of typhoon direction estimation.

The present application relates to the technical field of engineering blasting optimization, in particular to a dynamic optimization design method based on engineering blasting parameters, comprising: collecting stratum geological parameters such as rock hardness profile and rock mass fracture distribution of blasting site and blasting vibration three-direction velocity time history monitoring data, carrying out time-frequency joint analysis on time history record to extract dispersion curve and energy attenuation envelope, and constructing a digital rock mass structure model capable of calculating blasting stress wave propagation path. The vibration characteristic data is used as boundary condition to carry out numerical simulation to obtain simulated vibration velocity field, according to the difference between simulated data and measured data, combining with rock mass wave impedance distribution, the intelligent optimization algorithm is used to iteratively optimize the charge structure parameters and initiation time sequence scheme, and the optimized blast hole charge quantity, section and initiation delay are output. The method can improve the accuracy of blasting vibration propagation simulation, reduce the deviation between simulated and measured vibration velocity fields, and make the blasting parameter design more suitable for the actual geological environment of the engineering site.

The application relates to the technical field of structure measurement, and discloses a structure fatigue life prediction method and system based on multi-source data fusion. First, initial state point cloud data is collected; in a dynamic load test, a quasi-static moment when the vibration speed of a structure is zero is identified, three-dimensional point cloud data, temperature field data are synchronously triggered and collected, and a strain value is extracted; a thermal deformation vector field is constructed according to the temperature field data, a pure plastic deformation field is obtained by deducting the thermal deformation vector field from the point cloud data, and a multi-dimensional damage feature vector is constructed by fusing the strain value; the multi-dimensional damage feature vector is input into a pre-trained physical information neural network model, and a residual fatigue life prediction value and a weak area risk thermodynamic diagram are output. The application realizes high-precision measurement under dynamic load without shutdown, and significantly improves the precision and reliability of fatigue life prediction through thermal-force-shape decoupling and physical information neural network fusion.

The application discloses a true-terrain elastic medium seismic wave field simulation method, device and equipment and a storage medium. The method comprises the following steps: determining each boundary point included in a target region and a support region including each boundary point based on longitudinal and transverse wave velocity field model data and elevation data of a seismic wave field of the target region; performing multidimensional Taylor series expansion on a seismic wave field value on each grid point included in the support region of each boundary point to construct a polynomial expression of the boundary point in spatial coordinates; constructing a constraint condition of the polynomial expression based on stress field model data of the boundary point to form an over-determined linear equation group of a boundary of the target region; solving the over-determined linear equation group to obtain derivative values of a particle vibration velocity field and a stress field at each boundary point; and modifying a standard finite difference operator based on the derivative values of the particle vibration velocity field and the stress field at each boundary point to perform true-terrain elastic medium seismic wave field simulation by using the modified finite difference operator.

The invention provides a cold atom gravimeter active vibration isolation method based on slow interference compensation, and relates to the technical field of cold atom gravimeter active vibration isolation, and the method comprises the following steps: building a cold atom gravimeter active vibration isolation model; designing a slow interference compensation law; a Lyapunov stability function is designed; according to the cold atom gravimeter active vibration isolation method based on slow interference compensation, a compensation proportional integral differential control law is designed, and the problem that a current control method cannot adapt to vibration environment change requirements due to the fact that the problem that ground vibration and random vibration caused by the natural environment are not considered is solved. Therefore, the vibration speed and the vibration displacement of the active vibration isolation system of the cold atom gravimeter are rapidly converged, and the control precision of the active vibration isolation system of the cold atom gravimeter is further improved.

The invention provides a non-contact measurement method and system for the internal average opening degree of a high-position dangerous rock mass crack, and the method comprises the steps: carrying out the preliminary recognition of a dangerous rock mass through photographing equipment, and obtaining a preliminary recognition result; based on the preliminary recognition result, detonators are hoisted at the same height of the dangerous rock body, the explosive loading amount and the detonating distance are controlled, and the detonators are detonated; performing system identification on the dynamic normal stress time travel curve and the relative normal vibration speed time travel curve, and calculating the equivalent dynamic stiffness of the tension fracture under the dynamic load; and based on the equivalent dynamic stiffness, the initial average open degree of the outcrop and a fracture stiffness-open degree relation model calibrated through an indoor test, the internal average open degree of the high-position dangerous rock mass fracture is obtained through inversion. Through a non-contact measurement-model intelligent inversion technology chain, efficient and accurate measurement of the fracture opening of the dangerous rock mass is realized, and an innovative solution is provided for geological disaster prevention and control.

The invention discloses a workshop-oriented traffic vibration load influence rapid evaluation method, which comprises the following steps of: arranging an instantaneous synchronous measurement array comprising a plurality of measurement points on one side, adjacent to a traffic road, of a workshop area along the direction vertical to the road; performing 1 / 3 octave analysis on the vibration data of each measuring point to obtain a vibration speed effective value of each measuring point under each 1 / 3 octave center frequency; for each 1 / 3 octave center frequency, performing power function fitting on the vibration velocity effective value of each measuring point under the frequency and the distance from the measuring point to the road, and establishing a frequency-space attenuation model; and determining a vibration velocity frequency spectrum of the target position caused by traffic vibration by using a frequency-space attenuation model, and calculating a traffic vibration dominance index TVDI of the target process equipment in combination with vibration sensitive characteristics of the target process equipment so as to quantitatively evaluate the influence degree of the traffic vibration on the target process equipment. According to the invention, traffic vibration influence evaluation is realized through one-time short-time synchronous measurement.

The invention discloses a method for predicting vibration of a shell of an oil-free double-screw compressor based on a dimensional analysis method. The method comprises the following steps: determining main physical quantities influencing the vibration speed of the shell of the oil-free double-screw compressor; according to the pi theorem of a dimensional analysis method, determining a basic dimension and a dimensionless parameter group from main physical quantities influencing the vibration speed of the oil-free double-screw compressor shell; fitting the relationship among the dimensionless parameters according to shell vibration speed data obtained by different working condition operation tests of the oil-free double-screw compressor, and constructing a vibration prediction model; the constructed vibration prediction model is verified; and predicting the vibration of the oil-free double-screw compressor shell by using the vibration prediction model verified by the model. According to the method, the shell vibration of the oil-free double-screw compressor under different working conditions can be rapidly predicted, and the prediction result is more accurate.

The invention discloses a qualitative detection method for a loosening fault of a foundation bolt of a reciprocating engine. The qualitative detection method comprises the following steps: step 1, respectively collecting vibration signals of the foundation bolt in a normal state and a fault state in an engine operation state; step 2, obtaining a corresponding speed signal; 3, calculating an average effective value, a difference value and a relative change rate of vibration acceleration signals of the body supporting seat and the foundation in normal and fault states; 4, the average effective value, the difference value and the relative change rate of the vibration speed signals of the body supporting seat and the foundation in the normal and fault states are calculated; 5, the relative change rate of the two feature values is calculated, and whether the engine breaks down or not is judged; 6, calculating an average amplitude spectrum and a difference spectrum of the normal and fault state speed signals; 7, extracting a frequency component, and calculating an energy ratio; and 8, comprehensively judging whether a foundation bolt loosening fault occurs or not. According to the invention, qualitative detection of the loosening fault of the engine foundation bolt can be accurately and efficiently realized.

The invention relates to the technical field of power grid operation lifting platforms, and discloses a power distribution network uninterruptible operation insulation lifting system and method.Forward state prediction of a platform position is carried out by receiving a lifting system displacement instruction sequence, and deviation between position forward state prediction and a standard position is deduced through a closed loop feedback correction unit; the method comprises the following steps: reconstructing and outputting an instantaneous vibration speed and an instantaneous vibration acceleration of a lifting system, receiving the instantaneous vibration speed and the instantaneous vibration acceleration by a damping module, and performing phase lead compensation on a control signal of the lifting system by constructing a phase lead corrector, and the damping module synthesizes the instantaneous vibration speed and the instantaneous vibration acceleration into a dynamic damping force instruction through a virtual damping control model. Compared with the prior art, the method has the advantages that the vibration state of the platform is accurately reconstructed and predicted, the system response lag is effectively overcome, and the residual vibration attenuation time after the platform stops is shortened.

A half-spectrum search low-complexity azimuth estimation method for sound pressure and vibration velocity combined dimension reduction processing relates to the field of array signal processing, and comprises the following steps: acquiring output signals of a vector hydrophone array under N snapshots, and establishing a far-field target sound signal model; constructing a sampling covariance matrix for the output signal, and separating the sampling covariance matrix into a real part and an imaginary part; the vibration velocity signals in the vector array are synthesized in the guide angle direction through Givens transformation, a synthesized vibration velocity signal is constructed, and the synthesized vibration velocity signal and the sound pressure signal are jointly processed to construct a joint covariance matrix; constructing a DOA estimation model by using the real part of the joint covariance matrix, and constructing a spatial spectrum function based on the DOA estimation model and the real part of the joint covariance matrix; and searching a spectral function peak value in a half interval of a scanning angle space, and judging a real target angle according to a MUSIC algorithm. According to the method, the calculation amount is reduced while the estimation performance is ensured, and the problem that a traditional DOA estimation method is high in calculation complexity is solved.

The invention provides a blade tip speed-based non-contact multi-order dynamic strain reconstruction method and system, and belongs to the technical field of aero-engines, and the method specifically comprises the steps: calculating a blade Campbell diagram, obtaining the multi-order vibration information of a rotor blade, and determining the number and installation angles of blade tip timing sensors; the method comprises the following steps: acquiring a sensor measurement time sequence, acquiring full-condition blade tip vibration speed time domain under-sampling data, constructing a sparse regular model based on the under-sampling data, identifying vibration speed parameters, and acquiring vibration speed response of a reconstructed blade tip at any moment; obtaining a blade vibration speed and a strain modal shape, and calculating a dynamic strain and vibration speed conversion matrix; and based on the reconstructed vibration speed response and the conversion matrix, calculating the dynamic strain of any point of the blade, and realizing the multi-order and multi-dimensional vibration dynamic strain non-contact measurement of the blade under all working conditions. The method has the advantages of non-contact, full-working-condition, multi-order and multi-dimensional vibration dynamic strain measurement, and the dynamic strain measurement precision and efficiency are improved.

The invention discloses a method and system for simulating and evaluating the hot melting loss behavior of an aluminum alloy die-casting die through ultrasonic vibration, and the method comprises the steps: fixing a to-be-tested die-casting die sample at the tail end of an amplitude-change pole of an ultrasonic vibration system, setting the ultrasonic vibration frequency to be 20-40kHz, and adjusting the amplitude based on a formula v = 2pifA, a controllable peak vibration speed of 2-20 m / s is generated on the end face of the sample, and the high-speed injection scouring effect of molten aluminum is simulated; and the transient high-speed micro-flow field formed on the surface of the sample continuously washes the sample within the set time (1-30 minutes). And a heating subsystem can be combined to simulate a high-temperature molten aluminum environment. After the experiment, the heat melting loss resistance of the material or the coating is evaluated by analyzing the surface damage morphology of the sample and comparing the surface damage morphology with actual failure characteristics. According to the method, the die-casting hot melting loss process is safely, controllably and repeatedly simulated under the condition of room temperature or heating, and the problems that a traditional method is high in risk and poor in repeatability, and numerical simulation cannot reflect real damage are solved.

The application discloses a deep learning-based equipment structure nondestructive detection method, a terminal and a storage medium, wherein a sound wave generator is controlled to emit a sound wave signal to a to-be-detected object, and a vibration velocimeter is controlled to collect vibration velocity signals of any one sampling point on the surface of the to-be-detected object within a preset time period; the collected vibration velocity signals are converted into time-frequency signal graphs and input into a first defect detection model to obtain a predicted detection result of the to-be-detected object; when the predicted detection result of the to-be-detected object is unrecognizable, the vibration velocimeter is controlled to collect vibration velocity signals of multiple preset sampling points on the surface of the to-be-detected object, time-frequency signal graphs converted from the vibration velocity signals of the preset sampling points are input into a second defect detection model, and it is determined whether defects exist in the preset sampling points, so that a defect region of the to-be-detected object is determined, nondestructive, non-contact and accurate and efficient defect detection of the to-be-detected object is realized, and the defect region of the equipment structure can be determined.

This invention discloses a method, system, and storage medium for extracting the rotational speed of rotating equipment units based on the Internet of Things (IoT). The method includes: acquiring vibration acceleration signals from motor measuring points and calculating the corresponding vibration velocity signals; performing Fast Fourier Transform (FFT) processing on the vibration acceleration and velocity signals; finding the frequency with the largest amplitude in the frequency domain and verifying its accuracy, using this frequency as the extracted rotational frequency of the motor, dynamically adjusting the frequency center position and step size during the search process; calculating the extracted rotational speed of the motor based on the correspondence between rotational speed and rotational frequency; obtaining the transmission ratio of each rotating device within the unit based on the unit structure; and calculating the extracted rotational speed of each device in the unit using the extracted rotational speed and transmission ratio of the motor. This invention improves the anti-interference capability and accuracy of rotational speed extraction, and can be used for fault diagnosis, remaining life calculation, and maintenance recommendations for rotating units, reducing the false positive rate.