3292 results about "Wave shape" patented technology

The patent application describes an adaptable neuromodulation device for transcranial electrical brain stimulation. The system can generate complex poly-modulated waveforms by combining multiple pulse parameters in a randomized manner across dimensions like amplitude, frequency, phase, timing, and polarity. It leverages both digital and analog modulation techniques for waveform versatility. The device features pathway optimization algorithms that tune stimulation using neural feedback data to target specific brain region shapes with greater precision. It also enables closed-loop operation for responsiveness to physiological changes. The application details the mathematical and computational foundations, spanning graph theory to generate digital twins. It highlights applications from cognitive enhancement to seizure control. Overall, the innovation promises versatility and precision in non-invasive neuromodulation through adaptable, optimized waveforms grounded in sophisticated modeling.

The invention relates to a reinforcement learning-based waveform generation method and system for an intelligent reflector-assisted safety sensing integrated system. The method comprises the following steps of: 1, constructing the intelligent reflector-assisted safety sensing integrated system ISAC; 2, constructing an optimization problem; according to known channel state information, obtaining an expression of a signal received by the LU and an expression of a signal received by the BS reflected by the target object, then obtaining a signal to interference plus noise ratio or a signal to noise ratio of the two, and writing an eavesdropping signal to interference plus noise ratio of an eavesdropper target relative to the LU; finally, an objective function and constraint conditions of the optimization problem are established, and optimization parameters are determined at the same time; and step 3, introducing an RL to solve an objective function of an optimization problem, and generating a waveform. According to the waveform design method, the node calculation complexity can be greatly reduced, the system performance is improved, and the performance compromise between communication and sensing is realized.

The invention provides a defect positioning accurate identification method considering the change of the section of a pile body, and the method comprises the steps: carrying out the simulation comparison of a constructed sound wave signal feature vector and a pre-constructed sound wave feature vector of a defect-free pile foundation, calculating the feature difference degree of the two, setting a difference degree threshold value, and if the feature difference degree exceeds the threshold value, carrying out the recognition of the defect-free pile foundation. If yes, preliminarily determining that the pile body has defects; on the basis of the adjusted sound wave detection, sound wave signals are collected again, signal processing and feature extraction are conducted through a self-adaptive path tracking algorithm, and the three-dimensional coordinates of the defect in the pile body are calculated according to the time delay and the propagation speed of reflected waves by combining the established multi-reflection model and an inversion sound wave propagation path; and according to the calculated three-dimensional coordinates of the defect reflection points, the influence degree of the defects on the bearing capacity of the pile foundation is calculated by combining the defect size estimated through the amplitude of reflected waves, the defect type recognized through waveform features and the strength parameter of a pile body material through a finite element method.

The invention discloses a concrete internal defect quantitative detection method and system based on reflected waves, and belongs to the technical field of nondestructive testing. A reflected wave data matrix is obtained through multi-angle excitation and synchronous receiving; calculating energy characteristics of each channel, and constructing an energy response residual field; extracting waveform offset, spectrum jitter and phase change caused by defects by adopting a disturbance comparison algorithm to form a disturbance feature vector set; a defect-response function curved surface is further constructed, a defect topological structure is inversed based on gradient and curvature analysis, and defect geometric parameters are output; and finally, inputting the multi-moment defect parameters into the recurrent neural network, and predicting a defect evolution path and a failure risk. The method has high resolution and trend prediction capability, and is suitable for detection and early warning of concrete structures in bridges, tunnels and nuclear power projects.

The invention relates to a transverse isotropic hard formation horizontal shear wave velocity inversion method and device. The method comprises the following steps: acquiring waveform data measured by a target interval array acoustic logging dipole mode; based on the waveform data, using a weighted spectrum coherence analysis method to calculate and obtain a bending wave actual measurement frequency dispersion curve; according to the bending wave actual measurement frequency dispersion curve, calculating to obtain bending wave time difference probability density; according to the bending wave time difference probability density, calculating to obtain a stratum vertical shear wave speed; establishing an objective function of transverse isotropic stratum horizontal shear wave velocity inversion based on a frequency dispersion equation of the transverse isotropic stratum and the stratum vertical shear wave velocity; and according to the objective function, inversion is carried out to obtain the stratum horizontal shear wave velocity. According to the method, the target function of horizontal shear wave velocity inversion is reduced from two dimensions to one dimension, and the stability and efficiency of inversion are remarkably improved.

The invention provides a high-imaging-resolution method for identifying a lead sealing defect part of a cable, and relates to the field of nondestructive testing. Comprising the steps that a linear array probe array is utilized, a plurality of array elements emit ultrasonic waves to a to-be-detected defect part at the same time, and a received echo signal reflects the waveform shape and the waveform phase of the defect. A two-dimensional image is preprocessed through a synthetic aperture focusing technology, a combined image is reprocessed through a phase coherence technology, the quality and accuracy of the image are further improved, and a high-resolution three-dimensional image is constructed in combination with an imaging synthetic aperture focusing technology. The ultrasonic phased array technology, the SAFT technology, the phase coherence technology and the synthetic aperture focusing technology are combined, the imaging resolution is effectively improved, the method has remarkable advantages especially when defect parts in complex structures such as cable lead seals are recognized, the imaging quality is optimized, a two-dimensional image is converted into a high-resolution three-dimensional image, and finally an accurate defect recognition result is obtained.

The invention discloses an intelligent analysis system for ultrasonic phased array detection data of a welding seam, and relates to the technical field of nondestructive testing, and the intelligent analysis system is characterized in that a four-dimensional wave field tensor is constructed by collecting full-waveform ultrasonic data under multi-channel, multi-path and multi-angle conditions; extracting reflected signals which keep time coherence in a discontinuous path, and generating a high-dimensional coherence feature matrix; inputting the features into a self-supervised contrast learning model to obtain a defect semantic embedding vector; recognizing a suspected weak defect area based on the distribution density and the boundary change trend, and performing reverse beam focusing in combination with original data to obtain a defect three-dimensional positioning map; the shape bifurcation index and the boundary stability are calculated through topological analysis, and intelligent discrimination of artifacts and microcrack defects is achieved; the method does not need label data, has high automation and robustness, and is suitable for weak defect identification of complex structure welding seams.

The invention relates to a double-end traveling wave distance measurement method and device suitable for a power distribution network and a storage medium, and the method comprises the steps: firstly, carrying out the preprocessing of a fault phase current traveling wave through the normalization and rough characteristic frequency band zero-phase band-pass filtering of a double-end current traveling wave; using spline wavelet transform to calibrate a proper modulus maximum point as initial estimation of a wave head starting point; further estimating a wave head on the double-end time domain original traveling wave waveform by using a threshold method, and obtaining an accurate wave head starting point through double-end amplitude interpolation correction; and finally, calculating the position of a fault point according to a double-end traveling wave distance measurement principle. According to the method, a fault phase current waveform is preprocessed into a current traveling wave in a rough characteristic frequency band through a zero-phase filtering means, interference outside the characteristic frequency band is eliminated, a wave head break point serves as a wave head starting point, the break point is estimated step by step through a wavelet modulus maximum value and a signal amplitude threshold value method, and the fault phase current waveform is obtained. And more accurate approximation of the break point is obtained through double-end amplitude interpolation, so that the range finding precision exceeding the sampling rate limit is achieved.

The invention discloses a cable partial discharge detection method and system, and the method comprises the steps: installing sampling sensor groups on a detected cable at a preset interval, and each group at least comprises a current sensor and an ultrasonic sensor; synchronously sampling and preprocessing the high-frequency current signal and the ultrasonic signal; extracting current waveform characteristics and a first time stamp of arrival of the first pulse, and extracting sound wave pulses in the ultrasonic signals and a second time stamp of arrival of the sound wave pulses; and calculating a time difference, if the time difference is smaller than a preset threshold value and the waveform amplitude similarity is within a preset range, determining that no failure partial discharge exists, otherwise, positioning a failure position. According to the method, the acoustoelectric signals are acquired cooperatively through multiple sensors, interference is eliminated in combination with time difference and waveform similarity criteria, the detection reliability and the positioning precision are effectively improved, and the method is suitable for cable insulation state monitoring and fault early warning.

The invention provides a power load prediction method and device, and belongs to the technical field of power load prediction.The method comprises the steps that current waveform data are obtained, and fundamental wave and harmonic components in the current waveform data are extracted; carrying out waveform spatial form geometric analysis to obtain a real-time load characteristic sequence, and then carrying out segmentation processing; the current effective value sequence of each time window is converted into a time-frequency domain energy distribution vector, and then a three-level feature library is constructed; constructing a three-dimensional tensor model through equipment start-stop event identification, inputting the three-dimensional tensor model into a multi-target optimizer to evolve feature weights, and filtering abnormal samples to obtain a feature cluster; performing random masking processing on the time sequence data of the feature cluster to generate a mask sequence, inputting the mask sequence into an encoder to reconstruct masking data, comparing, learning and judging abnormal output correction data, and inputting the corrected data into a prediction network to generate a feedback signal flow; and analyzing the feedback signal flow to update the prediction network weight. Based on the method, the invention also provides power load prediction equipment. According to the invention, the precision of power load prediction is obviously improved.

The invention discloses a control method and system of an automatic dispenser, and relates to the technical field of automatic control, and the control method comprises the following steps: collecting and preprocessing a dielectric loss factor and a temperature change rate of glue, calculating the dynamic viscosity, the shear temperature rise and the phase change rate of the glue through a time-frequency conjoint analysis method, and generating a phase change parameter matrix; inputting the phase change parameter matrix into a soliton kinetic model, obtaining a soliton waveform of the colloid under a nonlinear effect and a dissipation effect, optimizing the soliton waveform in combination with real-time viscosity, generating a pulse parameter and a dispersion compensation coefficient, and forming a soliton driving instruction set; loading the soliton driving instruction set to an FPGA (Field Programmable Gate Array) controller of the electric valve, generating a high-voltage pulse waveform, executing high-precision dispensing, monitoring a jet waveform and carrying out dynamic calibration; according to the method, the waveform is optimized through the soliton kinetic model and the step-by-step Fourier method, and accurate balance between the colloid dissipation effect and the nonlinear effect is achieved.

The invention discloses a traveling wave head fault positioning method and system based on modal decomposition and a neural network, and the method comprises the steps: obtaining a first traveling wave signal on a power transmission line, and extracting a waveform feature corresponding to the first traveling wave signal; inputting the waveform characteristics into a preset parameter optimization model, determining a corresponding optimal decomposition parameter, performing multi-scale variational mode decomposition on the first traveling wave signal by using the optimal decomposition parameter to obtain a plurality of initial modes, and determining a corresponding key mode based on each initial mode; inputting the key mode into a preset distortion elimination model, determining a distortion result of each sampling point in the key mode, and filtering a distortion section of the first traveling wave signal based on the distortion result and the key mode to obtain a second traveling wave signal; and determining a traveling wave head abrupt change point based on the second traveling wave signal, and determining a corresponding fault position based on the traveling wave head abrupt change point. According to the invention, the accuracy of traveling wave head fault positioning can be improved.

The invention relates to a double-end traveling wave fault location method based on weighted Minkowski distance and cubic spline interpolation. The method comprises the following steps: performing smooth fitting expansion processing on fault waveform data W through cubic spline interpolation; training a traveling wave head clipping model, and automatically positioning and clipping a wave head region Wcs; respectively recording the Wcs after the traveling wave processing at the two ends as Wa and Wb, translating one waveform, and calculating a weighted Minkowski distance dist; when dist is minimum, the translation amount is the time difference delta t when the traveling wave reaches the two ends for the first time. Through cubic spline interpolation, under the condition of low sampling rate, smooth fitting expansion is carried out on the signal waveform, the actual error range is obviously reduced, and the positioning precision is improved; according to the method, the weight of the distance near the fault moment is increased, the effect of highlighting the fault point is achieved, for the noisy waveform, noise reduction and other operations which can change the original waveform can be not carried out, the time difference delta t of the wave heads of the two fault traveling waves can be calculated, and the measurement error existing in the practice of the prior art is reduced.

According to the double-end traveling wave distance measurement wave head calibration method and device suitable for the power distribution network and the medium, a proper wavelet high-frequency component is selected through a characteristic frequency band, and a proper mode extreme point is calibrated to serve as initial estimation of a wave head starting point; constructing a smooth threshold value on the low-frequency component corresponding to the characteristic frequency band based on the preliminary estimation and the hard trigger point; a more accurate wave head starting point is obtained through the self-adaptive smooth threshold value search; and finally, calculating the position of a fault point according to a double-end traveling wave fault location formula. The invention provides a novel principle and method for completing coordinated point marking by taking waveform break point calibration of a wave head as wave head starting point calibration and fully utilizing appropriate-scale high and low frequency components of a wavelet domain, and practices prove that the novel calibration principle and method are not easily influenced by traveling wave attenuation, distortion and noise interference caused by traveling wave dispersion and wave impedance; and meanwhile, the problem of low calibration precision caused by inconsistent wave head characteristic frequency spectrums of the traveling waves at the two ends can be solved.

A disk-pack turbine for use, for example, in systems and methods in at least one embodiment for separating fluids including liquids and gases into subcomponents by passing the fluid through a vortex chamber into an expansion chamber and then through at least a portion of a waveform pattern present between at least two rotors and / or disks. The rotors and / or disks having waveform patterns on at least one side. In at least one embodiment, the waveform patterns include a plurality of hyperbolic waveforms travelling around an axial center of the disk with each hyperbolic waveform having a varying diameter along the waveform.

The invention provides an underwater acoustic target recognition system and method based on multi-modal joint representation. The system comprises a multi-modal feature extractor, a feature fusion module, a fusion feature extractor and a full connection layer. The processing process of the system comprises the steps that multi-modal features based on waveforms and spectrograms are extracted through a waveform network and a spectrogram network of a multi-modal feature extractor respectively, the two-way structural design allows the network to capture features of an underwater acoustic target from different angles, and understanding of signal features is enhanced; the two kinds of feature information of a spectrogram and a waveform are fused through a feature fusion module, and the two kinds of features are fused through a multi-head attention mechanism; and finally, constructing a fusion feature extractor to extract global features. The system disclosed by the invention obtains a very competitive result on two widely used ship radiation noise data sets. Experimental results show that the performance of the system exceeds that of a traditional waveform-based and spectrogram-based model on the premise of keeping a relatively low parameter quantity.

The invention discloses a drilling, sealing and grouting anchor rod, an intelligent drilling monitoring system and an integrated intelligent construction method. According to the anchor rod, a rod body is sequentially provided with a head-section wave-shaped threaded section, a middle-section large threaded section and a tail-section wave-shaped threaded section from the head end to the tail end, and a grouting channel is formed in the axis of the rod body; the PDC drill bit and the round nut are installed at the head end and the tail end of the rod body respectively. The anti-shearing tray, the constant-torque pressing sheet and the hexagon nut are arranged on the outer side of the tail-section wave-shaped thread section in a sleeving manner; and the built-in mixer is inserted into the grouting channel. According to the system, a drilling machine is arranged outside a hexagon nut in a sleeving mode through a machine rod connector; the vibration sensor is mounted on the machine rod connector; the monitoring sensor group is installed on the drilling machine. The method comprises the steps that the drilling machine rotates forwards to drive the PDC drill bit to conduct drilling operation, and deslagging is conducted synchronously; pre-tightening is conducted through reverse rotation of the drilling machine; a built-in mixer is used for grouting operation; and carrying out plugging treatment. According to the anchor rod, drilling, hole sealing and grouting operation can be integrally achieved; the system and the method are favorable for improving the drilling efficiency, and the construction efficiency of support construction can be effectively improved.

The invention relates to an internal isolated wave waveform reconstruction method and device, equipment and a medium. The method comprises the following steps: constructing a data set by using internal isolated wave waveforms of different water depths; constructing an internal isolated wave waveform reconstruction model, and training the internal isolated wave waveform reconstruction model through the data set based on a pre-constructed loss function fusing physical information to obtain a trained internal isolated wave waveform reconstruction model; wherein when the internal isolated wave waveform reconstruction model is processed, firstly, a spatial relationship among different feature values in a data set is extracted, and a first feature is obtained; analyzing time correlation feature information of the first feature to obtain a second feature; and finally, extracting important information of the second feature, and outputting a reconstructed waveform. And performing inner isolated wave waveform reconstruction through the trained inner isolated wave waveform reconstruction model. According to the method, the defects of internal isolated wave waveform observation data can be overcome, the generalization ability of the model is high, and the reconstruction precision is high.

The invention relates to a traveling wave waveform classification method based on wavelet transform and QPSO-BILSTM, and the method comprises the steps: collecting a traveling wave signal, and carrying out the preprocessing of the traveling wave signal; extracting a peripheral time domain of each wave head; collecting a large amount of labeled traveling wave waveform data of different types as labels; extracting a wave head peripheral time domain as a training set, and inputting the training set into the BiLSTM model for training and classification; parameters of the BiLSTM model are optimized through QPSO, and the classification accuracy is improved; and processing a newly collected traveling wave signal, inputting the processed traveling wave signal into the optimized BiLSTM model, and outputting a classification result. The traveling wave front calibration efficiency and precision can be remarkably improved through traveling wave waveform classification; fault types can be quickly identified through classification, and an important basis is provided for subsequent fault processing; the BiLSTM model optimized by the quantum particle swarm optimization not only can better extract key features in the traveling wave waveform, but also can better adapt to complex nonlinear features and various change modes of the traveling wave, so that the accuracy of waveform classification is improved.

The invention relates to the technical field of satellite altimetry, in particular to a height measurement method based on a feature-enhanced multi-base integrated re-tracking model, which is characterized in that the feature-enhanced multi-base integrated re-tracking model FMERM is constructed to optimize the position of a reflection waveform re-tracking point, and the FMERM model executes the following processing processes: 1, extracting input variable features by using PCA, and extracting the input variable features by using PCA; combining with an original input variable to form an enhanced feature set; secondly, optimizing the hyper-parameters of the XGBoost model by using a grid search method, so that the hyper-parameters of the XGBoost model are optimal; thirdly, utilizing the trained model to accurately calculate a re-tracking point normalization power value of the reflected signal waveform; fourthly, the sea surface height is inverted through the geometrical relationship and direct reflection signal time delay and atmospheric correction; an effective means is provided for solving the problem that a reflection waveform re-tracking method is inaccurate, and powerful support is provided for high-precision satellite-borne GNSS-R sea surface height measurement.

The invention discloses a feed proportion abnormity identification method and system, and particularly relates to the field of feed proportion abnormity identification, and the method comprises the steps: extracting the disturbance variables of vibration amplitude, feeding speed and voiceprint waveform in multi-source disturbance data, constructing the disturbance time sequence expression of a frequency, form and amplitude triple feature structure, and carrying out the recognition of the vibration amplitude, the feeding speed and the voiceprint waveform. Extracting a disturbance characteristic track with center characterization capability in a cluster through atlas clustering, and writing the disturbance characteristic track into a track benchmark expression library; constructing an aligned trajectory expression set by analyzing the frequency domain structure and the time slice expression of each channel signal in the current batch of disturbance data and combining the binding relationship between the batch number and the formula number; by constructing an offset matching and track consistency judgment mechanism based on multi-source disturbance track expression, structured recognition and path logic verification of a formula drift phenomenon are realized, and the problem that the actual feed nutrition state is misjudged due to the fact that real proportion offset caused by residual feed cannot be recognized is solved.

A method for analysing a sample comprising a layer having a first interface and a second interface, the method comprising: Irradiating the sample with a pulse of terahertz radiation, said pulse comprising a plurality of frequencies in the range from 0.01 THz to 10 THz; Detecting radiation reflected from the sample to produce a sample waveform; Obtaining a first reflection waveform from the sample waveform, the first reflection waveform corresponding to the reflection from the first interface; Obtaining a second reflection waveform from the sample waveform, the second reflection waveform corresponding to the reflection from the second interface; Comparing the first reflection waveform with the second reflection wave-form to produce an estimate of a thickness and a complex refractive index of the layer; Producing a synthesised signal using the estimate of the thickness and complex refractive index; Varying at least one of the thickness and complex refractive index to reduce an error between the sample waveform and the synthesised signal; and Outputting the thickness of the layer.

A method of delivering power to a load coupled to an energy module includes determining a power to be produced in a load, generating a signal, and selecting a first or second power amplifier circuit based on the power to be produced in the load. The power rating of the amplifier circuits is different. Another method includes generating a digital waveform having a predetermined wave shape and frequency, converting the digital waveform to an analog waveform, selecting a first power amplifier circuit or a second power amplifier circuit based on a predetermined power output to be produced by the first or second power amplifier circuit into a load coupled to an energy output port of the energy module, coupling the analog waveform to the selected first or second power amplifier circuit, and producing the predetermined power output into the load.

The invention discloses a shallow velocity model construction method based on joint inversion, and relates to the technical field of geophysical exploration. According to the method, high-frequency Rayleigh wave information and far-earthquake cross convolution waveforms in natural earthquakes are introduced into joint inversion, the influence of parameters on a speed structure model is considered, interference of other types of waves on Rayleigh waves is avoided, noise segments dominant by Rayleigh wave energy are effectively screened out, and the method is suitable for large-scale popularization and application. The difficulty of extracting the ellipticity of the high-frequency Rayleigh wave from a single waveform is effectively solved; the three-dimensional velocity structure model of the shallow imgabs0 # and the three-dimensional velocity structure model of the shallow imgabs1 # of the whole earth crust can be effectively simulated through joint inversion, especially for a sedimentary layer, research of deep structure scientific problems of a research area and exploration and development of oil and gas resources are facilitated, the seismic oscillation simulation precision can be improved, and earthquake resistance and disaster reduction work in an earthquake area can be assisted.

The invention discloses an S-wave seismic phase first arrival identification method based on actually measured blasting-induced particle vibration signals, and relates to the field of negative effect monitoring and safety evaluation of blasting vibration induced by rock blasting excavation, and the method comprises the steps: determining a blasting scheme based on a scanning result; arranging a blasting vibration sensor; acquiring actual measurement waveforms of blasting vibration at different blasting center distances; constructing an S-wave seismic phase first arrival recognition function; and obtaining the first arrival moments of the S-wave seismic phases of the actually measured vibration waveforms at different explosion center distances. Compared with the prior art that the recognition precision of the S wave of the blasting vibration signal under the engineering scale is low and the like, by comprehensively utilizing the differences of the S wave, a noise signal, a P wave and a P wave tail wave in the aspects of energy, frequency, polarization characteristics and the like, recognition parameters such as the ratio of transverse energy to total energy, the polarization degree and the deflection angle are introduced, and the transverse energy serves as a weight coefficient; an S-wave recognition function suitable for actual measurement of blasting vibration is provided, and the technology has the advantages of small recognition error, high efficiency and the like.

The utility model discloses an indexable wave-shaped edge turning blade which comprises a blade body with a center hole in the geometric center, a cutting unit is arranged on the upper surface of the blade body, and the cutting unit comprises an arc edge located at the vertex angle of the blade body and a main cutting edge connected with the two ends of the arc edge. Chip flutes are formed in the main cutting edge in the direction extending towards the center hole, and every two adjacent chip flutes located at the vertex angle are symmetrically separated through an isolation belt; the main cutting edge includes a wave-shaped cutting edge, the wave shape of which is shaped in an axial direction. Through the design of the wave-shaped cutting edges, the chip flutes and the isolation belts, the cutting force is effectively reduced, the chip treatment is improved, the quality of the machined surface is remarkably improved, and the service life of the cutter is remarkably prolonged.

The invention discloses a spectral analysis-based sea surface wave model construction method and system, and the method comprises the steps: carrying out the grid division of a sea surface, calculating parameters for each grid of the sea surface, and building a gravity wave model, a surge model and a shockwave model for the whole sea surface; obtaining a gravity waveform height amplitude according to the gravity wave model, obtaining a surge waveform height amplitude according to the surge model, and obtaining a shock wave height amplitude according to the established shock wave model; superposing the gravity waveform height amplitude, the surge waveform height amplitude and the shockwave height amplitude, and carrying out inverse fast Fourier transform on the superposed amplitudes to calculate a sea surface waveform height spectrum which changes along with time in an airspace within a certain range; and constructing a sea surface wave geometric model in an STL format according to the sea surface waveform height spectrum changing along with time in the airspace in a certain range. According to the invention, the authenticity and accuracy of simulation are improved.

Disclosed is a sediment classification method and system based on bottom echo information of a deep-sea multibeam water column, falling within the technical field of seabed sediment classification. Multidimensional features of seabed multibeam time series are extracted by using multibeam water column data, and multidimensional features of seabed spots are constructed by fusing an angle response curve; double-waveform spectrum comparison of original sample point waveform with seabed measured point waveform is performed, and two groups of corresponding waveforms are matched by using Cosine Similarity to expand original sample points; and the reliability of classification results is improved. In the present disclosure, the transformation from hard to soft classification is realized, and the seabed habitat inversion of complex mixed sediment in a deep sea is further realized.

An adult sex toy, including a drive member and a sliding member. The sliding member includes a first positioning plate, rotating plates, a second positioning plate, and a serpentine rod. One end of the serpentine rod is movably assembled on the first positioning plate, and the other end of the serpentine rod is movably assembled on the second positioning plate. A plurality of rotating plates are movably sleeved on the serpentine rod, and the drive member is connected to one end of the serpentine rod and drives the serpentine rod to rotate. Driven by the serpentine rod, the rotating plates squirm in a wave form or a snake-like crawling form. This unique waveform movement brings a new sense of excitement to users, while the ups and downs of the rotating plates also simulate a real touch, bringing users a pleasant experience.

The invention discloses a low-water-head water turbine with a flow guide wing bionic blade, which is provided with a variable pitch system for adjusting an included angle between a runner blade and an incoming flow direction, and a deflection control system for adjusting an included angle between a guide vane arranged on a bulb body and the incoming flow direction, the water flow impact acting force on the blades can be changed through the water flow impact acting force, the water flow impact acting force on the blades can be changed through the water flow impact acting force, and the water flow impact acting force on the blades can be changed through the water flow impact acting force. In addition, the blade of the runner of the hydraulic turbine set is the blade with the wave-shaped front edge, and a section protruding outwards is arranged in a pipeline for containing the bulb body and the runner, so that the water energy utilization rate of the hydraulic turbine set is further increased. The blade adopts a sine curve-shaped waveform front edge, and the structure simulates a convex shape on a fin-shaped limb of an underwater organism, so that the resistance in water is reduced, and the water energy utilization rate of a water turbine set is increased.