38 results about "Vibration velocity" patented technology

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 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 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 application provides a Doppler laser mode shape measurement method and apparatus, comprising: S1, calibrating a laser vibrometer; S2, using the laser vibrometer to emit a laser, such that the emitted laser beam is precisely focused and perpendicularly irradiated onto the test point on the surface of the object being measured; S3, acquiring a time-domain vibration displacement signal; S4, preprocessing the time-domain vibration displacement signal, synchronizing the force signal, and acquiring an effective time-domain vibration displacement signal; S5, processing the preprocessed effective time-domain vibration displacement signal to acquire vibration velocity, vibration displacement, and vibration frequency; S6, visualizing the vibration velocity, vibration displacement, and vibration frequency obtained from modal analysis.

The application discloses a method for evaluating the improvement of the high-frequency axial vibration kinetic energy of a drill bit by a rotary percussion tool, and is based on measured wellbore trajectory parameters, drill string structure parameters and rotary percussion tool characteristic parameters, considers different rotary percussion tool installation positions, utilizes a drill string dynamics analysis method to obtain a drill string axial vibration speed, calculates a drill bit high-frequency axial vibration kinetic energy index, and uses the index as an evaluation basis for the improvement degree of the drill bit kinetic energy, and determines a reasonable rotary percussion tool installation position and a working frequency based on the index.

This invention relates to the field of engineering blasting technology, and particularly to a method and apparatus for predicting blasting vibration based on different seed waveforms. The method includes: conducting single-hole blasting tests outside the target blasting area to construct a set of characteristic waveforms; selecting a characteristic waveform from the set for each borehole in the target blasting area, and determining a first distance between each borehole and its corresponding characteristic waveform; obtaining a second distance between each borehole in the target blasting area and a target monitoring point; constructing a single-hole blasting vibration prediction model based on Fourier series according to the first and second distances to simulate the single-hole attenuation waveform of each borehole; and linearly superimposing the single-hole attenuation waveforms of all boreholes to obtain a group-hole blasting vibration waveform. This solves the problems of existing vibration prediction methods for the near-field blasting zone, where the predicted superimposed blasting vibration waveform is significantly affected by various factors, and the vibration velocity at the measuring point varies greatly.

This invention provides a method and apparatus for controlling the amount of explosives used in tunnel lining based on vibration velocity prediction using a four-line, small-clearance system. It relates to the field of tunnel blasting technology and includes: acquiring multiple tunnel models and vibration velocity data; drawing tangents to the outer edge of the second main tunnel structure based on the blast center point of the first main tunnel and the stress nodes of the third auxiliary tunnel, respectively, to obtain a second blast-facing tangent point and a second edge tangent point; calculating the effective propagation distance from the blast center point to each node for different scenarios involving the distance from the blast center point to the second blast-facing tangent point and the second edge tangent point, based on the straight line of the blast source; fitting attenuation coefficients and void coefficients using vibration velocity data and predicting their construction to obtain a vibration velocity prediction model; and back-calculating the safe explosive charge based on the vibration velocity prediction model and a safe vibration velocity threshold to obtain the controlled explosive charge. This invention solves the problems of safety and efficiency in tunnel construction.

The application provides a blast hole initiation time sequence determination method and related equipment, and relates to the field of blasting vibration control. The method acquires vibration waveforms of multiple blast holes; determines reorganized intrinsic mode components (IMFs) corresponding to the vibration waveforms of the blast holes; extracts more accurate vibration velocity peaks of the blast holes from the reorganized IMFs corresponding to the vibration waveforms of the blast holes; determines target IMFs corresponding to the vibration waveforms of the blast holes based on vibration velocity peaks and reorganized IMFs corresponding to the vibration waveforms of a reference blast hole and vibration velocity peaks of other blast holes; determines multiple superposition initiation time sequences; combines each superposition initiation time sequence with the target IMFs corresponding to the vibration waveforms of the blast holes to obtain multiple synthetic IMFs; extracts multiple synthetic vibration velocity peaks from the synthetic IMFs; and takes a time sequence corresponding to the smallest synthetic vibration velocity peak as the initiation time sequence of the blast hole. The scheme can realize coordinated blasting among the blast holes, optimizes the initiation time sequence, and is conducive to improving the blasting effect.

The application provides a kind of blade vibration parameter test method based on blade tip timing signal, it is related to mechanical blade vibration technical field, comprising the following steps: real-time acquisition of the rotational speed function dynamically constructed by rotational speed sensor signal, calculate the theoretical arrival time of each pulse, obtain the arrival time difference caused by blade vibration, calculate the vibration displacement of blade under the current rotational speed fluctuation condition;According to the rotational speed function, the theoretical instantaneous speed of blade passing through the sensor is calculated, the corresponding theoretical pulse width is obtained, the pulse width deviation caused by blade vibration is obtained, and the vibration speed of blade under the current rotational speed fluctuation condition is calculated;Vibration displacement and vibration speed are integrated into multi-measurement vector sparse reconstruction model and jointly solved, and the sparse frequency support set is recovered, to obtain the frequency parameters of blade vibration;Self-adaptive adjustment of the regularization parameter in block sparse bayesian learning method, and the frequency and amplitude of blade vibration are output using the adjusted parameter.

This invention discloses a numerical simulation analysis method for the dynamic effects of underwater explosions along two paths on concrete dams, belonging to the field of engineering protection and numerical simulation technology of explosion effects. The method first establishes a multi-medium fully coupled model including the concrete dam, foundation, water, air, and explosive. A Lagrange-Euler fully coupled method is used to achieve fluid-structure interaction. Gravity and hydrostatic pressure are applied to simulate the initial stress field, and monitoring points are set up. Then, single-path load simulations are conducted with rigid partitions in the water body and foundation, while a fully coupled baseline simulation without partitions is performed simultaneously. Data on dam pressure, vibration velocity, and displacement under the three conditions are compared to separate the characteristics of the dual-path loads and the structural response. Finally, multi-condition analysis is conducted by controlling key parameters such as the explosion center distance using single-variable control to reveal the evolution law of the dual-path effect and the conditions for the conversion of the dominant mechanism, and to quantitatively evaluate the contributions of both. This method provides a controllable and repeatable numerical means for the differential response analysis of underwater explosion load paths in concrete dams, and provides a theoretical basis for the refined blast-resistant protection design of dams.

This invention relates to an adaptive fault early warning method for offshore wind turbines, belonging to the field of offshore wind turbine fault monitoring and early warning technology. Addressing the technical problem that traditional fixed-threshold early warning methods struggle to adapt to dynamic changes in wind speed and wave height in the marine environment, leading to high false alarm and false alarm rates, this invention utilizes vibration sensors installed in the nacelle and tower, temperature sensors in the generator bearing housing, an ultrasonic anemometer on the top of the wind turbine, and a wave radar on the foundation structure to collect real-time effective values ​​of vibration velocity, bearing temperature, ten-minute average wind speed, and significant wave height. The average wind speed and significant wave height are input into an adaptive threshold calculation module with built-in vibration and temperature threshold response functions to obtain corresponding adaptive early warning thresholds. The real-time collected effective values ​​of vibration velocity and bearing temperature are then compared with the corresponding thresholds, enabling accurate and timely early warning of offshore wind turbine faults and ensuring the safe and reliable operation of the turbine.

The application discloses a blasting vibration prediction method based on an explosion source model, obtains vibration waveforms at different positions and distances from a blast center in spherical coordinates based on a spherical charge explosion source model, equivalent column charges are superimposed on multiple spherical charges, vibration waves generated by multiple equivalent spherical charges at space particles are superimposed according to a vibration wave superposition principle, so as to obtain vibration waveforms of space particles under column charge conditions, and considering the existence of a free surface, according to a wave reflection law, a reflected wave can be regarded as an incident wave generated by a virtual explosion source, and the incident wave of a real explosion source and the incident wave generated by a virtual explosion source corresponding to the real explosion source can be superimposed according to the vibration wave superposition principle, so that a complete vibration waveform of a target particle can be obtained, and waveform parameters such as a peak vibration velocity, a frequency and a frequency width can be obtained based on the waveform.

The present application relates to the field of slope blasting, and particularly relates to a slope vibration velocity peak value calculation method based on blasting. The method comprises the following steps: based on obtained topographic surveying and mapping data and geological exploration data of a target slope, the target slope is divided into one or more monitoring areas with different geological and topographic characteristics, and a geological space model reflecting the division of the monitoring areas is constructed; according to the differences in the geological and topographic characteristics of each monitoring area, monitoring points and experimental blasting points are arranged in the geological space model, and the explosive quantity of the experimental blasting points is set. The present application is aimed at a slope with large geological differences, a nodal network is constructed by selecting representative monitoring points, vibration attenuation parameters are calibrated based on measured data in different areas and boundaries, and vibration peak values are recursively calculated along the network topology path, thereby realizing accurate quantification of the vibration propagation law of non-homogeneous rock mass; and the vibration transmission model constructed can be locally updated, and has high precision and practicability.

This invention proposes an air conditioning system comprising: a chiller unit, a compressor, a condenser, an expansion valve, and an evaporator connected in series via pipelines; the compressor compressing low-temperature, low-pressure refrigerant gas into high-temperature, high-pressure refrigerant gas and discharging it to the condenser; a vibration velocity acquisition module monitoring the casing vibration velocity; a pressure sensor monitoring the compressor discharge pressure; and a controller electrically connected to the compressor, the vibration velocity acquisition module, the pressure sensor, and the speed sensor; the controller is configured to: determine the compressor vibration velocity and discharge pressure fluctuation values ​​based on the casing vibration velocity and discharge pressure according to a first logic, and perform logical judgment based on preset conditions; when the compressor meets surge prevention or surge avoidance conditions, actively intervene to avoid frequent protective shutdowns and extend the compressor's service life.

This invention provides a method for predicting blasting vibration velocity on interbedded soft and hard rock slopes, comprising the following steps: conducting field blasting tests on interbedded soft and hard rock slopes to obtain blasting vibration velocity data; sampling rocks for the interbedded soft and hard rock slopes and obtaining the physical and mechanical parameters of the rocks in the field through indoor mechanical tests; establishing a finite element numerical model based on the physical and mechanical parameters; verifying the simulation results of the finite element numerical model using the blasting vibration velocity data; supplementing with different working conditions to establish numerical models under different working conditions and calculating the vibration velocity results; and combining the dimensional homogeneity theorem with formula fitting based on the vibration velocity results to obtain a mathematical prediction model for blasting vibration velocity considering blasting parameters and slope attitude. This invention has significant practical significance and engineering application value for solving problems related to the prevention of geological disasters in slope engineering.

This invention relates to the field of architectural acoustics technology and discloses a method for evaluating the sound insulation performance of buildings based on digital twins. The method includes: collecting sound pressure and acceleration integrals to obtain the vibration velocity at the measuring point, and separating the direct reflected sound pressure by stripping the surface radiated sound pressure; subsequently, calculating the boundary energy reflection coefficient and retrieving the local equivalent density at the measuring point; calculating the dispersion bending wave velocity and spatial phase delay based on the equivalent density; combining the spatial attenuation weight and the phase delay cosine factor to perform phase compensation spatial interpolation on the dynamic vibration velocity of the twin node; finally, mapping the equivalent density to the twin node to recalculate the wave velocity, constructing a dynamic apparent acoustic impedance based on the vibration velocity extreme values, thereby obtaining the transmission coefficient and converting it into a comprehensive dynamic building sound insulation index.

The present application provides a blasting peak vibration velocity prediction method based on WOA-BP model and numerical simulation, and relates to the field of engineering blasting technology. The method comprises the following steps: through laboratory impact test, vibration monitoring data set is constructed and BP neural network is trained to obtain sensor angle distortion correction model; online monitoring of blasting vibration is carried out in the target blasting area, and the monitoring data is corrected by using the correction model to obtain the field vibration monitoring data set to train the WOA-BP prediction model; the blasting vibration under different working conditions is simulated by using the bench blasting numerical model, the expanded vibration monitoring data set is constructed, and the trained WOA-BP prediction model is corrected in combination with the field vibration monitoring data set to obtain the final WOA-BP prediction model for predicting the peak vibration velocity and the main frequency corresponding to any blasting working condition parameters. The present application can reliably predict the blasting peak vibration velocity and the main frequency in cold regions by integrating data correction and multi-condition sample generation.

This invention provides an active vibration isolation method for cold atom gravimeters based on an adaptive model, relating to the field of active vibration isolation technology for cold atom gravimeters. The method includes the following steps: establishing an active vibration isolation reference model for the cold atom gravimeter; designing a proportional-derivative feedback control law; designing a Lyapunov stability function; and designing an adaptive law to address the problems of ground vibration and random vibrations caused by the natural environment encountered by the cold atom gravimeter during measurement. Through the adaptive model-based control method, the vibration velocity and displacement of the active vibration isolation system of the cold atom gravimeter converge rapidly, thereby improving the control accuracy of the active vibration isolation system.

This invention provides a method and system for identifying vibration modes of a ship's hull beam based on a wireless mesh network. The method includes: acquiring vibration acceleration signals from multiple measuring points on the hull beam during a preset navigation period; the multiple measuring points are uniformly distributed along the ship's length and symmetrically arranged on both port and starboard sides, and the vibration acceleration signals from these points are obtained through distributed synchronous measurement based on a wireless mesh network; determining the vibration velocity signal corresponding to each measuring point based on the vibration acceleration signals from the multiple measuring points; extracting features from the vibration velocity signal corresponding to each measuring point to determine the velocity spectrum corresponding to each measuring point; and identifying the vibration modes of the hull beam based on the velocity spectrum corresponding to each measuring point and a vibration frequency consistency algorithm to determine the target vibration mode of the hull beam at a target vibration frequency. The solution provided by this invention can achieve convenient, reliable, and high-precision vibration measurement and modal identification of ship's hull beams.

The present application provides a kind of deep high ground temperature tunnel blasting vibration velocity prediction method and system, it is related to high temperature tunnel blasting engineering technical field, the present application obtains the wave velocity data along tunnel, and the discrete sequence of surrounding rock porosity is obtained by inversion, and based on sliding window detection method analysis porosity variation, dense and loose surrounding rock section is divided, vibration attenuation index is calculated in combination with thermal energy blasting theory and vibration attenuation model, and according to porosity data, the density of different section surrounding rock is estimated respectively, the initial vibration velocity of blasting is calculated, and vibration velocity prediction model is established in combination with wave equation and material damping characteristics, for high ground temperature environment, the temperature difference of loose surrounding rock section is analyzed, and the ground temperature correction coefficient is calculated according to thermal expansion theory and porosity characteristics, and the temperature of prediction model is corrected.The present application realizes the sectional accurate prediction of tunnel blasting vibration velocity under high ground temperature condition, and provides theoretical basis and technical support for tunnel engineering safety management and blasting optimization.

This invention provides a method and apparatus for eliminating self-vibration noise in a laser Doppler vibrometer. The method includes: measuring the vibration signal of the object under test and the vibration signal of the instrument itself (the instrument being a laser Doppler vibrometer); calculating the vibration velocity of the object under test containing noise based on the vibration signal of the object under test; calculating the vibration velocity of the instrument itself based on the vibration signal of the instrument itself; and calculating the noise-reduced vibration velocity of the object under test based on the vibration velocity of the object under test containing noise and the vibration velocity of the instrument itself. This invention, by adding a reflector and a beam splitter to the laser Doppler vibrometer, measures and corrects for the instrument's own vibration, effectively eliminating measurement errors caused by the influence of instrument self-vibration, and providing technical support for obtaining higher-precision remote sensing vibration monitoring data in the field.

The present application relates to the technical field of underground space engineering and blasting vibration monitoring, in particular to a kind of gas storage damage measurement method and system.Method includes: when new gas storage is excavated several times by blasting, the three-dimensional acceleration time history signals of each measuring point on the surface of gas storage steel lining are obtained by using gas storage steel lining surface vibration acceleration monitoring network and preprocessed, and the vibration velocity time history signals of each measuring point on the surface of gas storage steel lining are obtained;Introduce explosive type influence coefficient, charge structure decoupling coefficient, wave impedance ratio factor, additional amplitude attenuation factor caused by cumulative damage to modify classical Sadovskiy formula, to obtain the theoretical peak velocity prediction model of the i th steel lining measuring point under the n th blasting;According to the theoretical peak velocity prediction model, the damage inversion formula is derived, and the damage value of each measuring point corresponding to the vibration velocity time history signal is calculated by using the damage inversion formula.

This invention discloses a method for identifying wall hollowness based on laser acoustic vibration combined with mechanical impedance, comprising the following steps: S1, setting a detection range and measurement point array on the wall surface to be tested, emitting acoustic wave signals to excite the wall surface to be tested, and measuring the magnitude of the excitation force of the acoustic waves reaching the wall surface to be tested; S2, collecting vibration velocity signals at each measurement point, performing Fourier transform on the vibration velocity signals at each point to obtain the vibration signals at each point in the frequency domain; S3, establishing a mechanical impedance model of the wall hollowness system, substituting the vibration signals in the frequency domain and the magnitude of the excitation force into the mechanical impedance formula, and fitting using the least squares method to obtain the identification parameters of the wall hollowness system; S4, based on the identification parameters and combined with preset material parameters, calculating the geometric area of ​​the hollowness, the thickness of the upper material of the hollowness, and the cavity depth of the hollowness. This invention can not only locate hollowness, but also accurately quantify its area, the thickness of the upper material, and the cavity depth of the hollowness, improving detection efficiency and identification accuracy.