542 results about "Wave velocity" patented technology

The invention relates to a multi-branch power distribution network double-end traveling wave fault positioning method and system, and the method comprises the steps: deploying a plurality of measurement points based on the head and tail ends of a radial power distribution network and branch terminals, collecting topological information, and calculating the linear mode wave velocity; using the three-phase voltage data after the fault to extract traveling wave line mode and zero mode components through modulus decoupling; a line mode component with the strongest global mutation is selected as a reference, and a wave head time sequence table is generated through wavelet decomposition and mutation detection; and correcting the zero-mode wave velocity by combining the topology, the time sequence table and the line-mode wave velocity, and determining a fault interval and outputting a fault position after compensation and correction by using the line-mode and zero-mode wave head time difference. According to the invention, through a wave head time sequence analysis and time difference compensation mechanism based on cooperation of multiple measuring points, positioning errors caused by clock asynchronization and parameter disturbance are effectively overcome, accurate distance measurement which is not influenced by clock errors is realized, and the distance measurement precision is significantly improved; and meanwhile, the point distribution requirement is simplified, accurate judgment and positioning of a fault interval can be realized only by a branch single measuring point, and high economy and deployment flexibility are both achieved.

The invention discloses a bridge engineering-oriented foundation pile quality detection system, which relates to the technical field of engineering quality detection, and comprises a data acquisition module configured to acquire detection data including foundation pile construction parameters, geological environment data, stress wave signals and geometric dimension parameters, the wave velocity correction module is configured to correct a standard wave velocity through a dynamic coupling algorithm, the defect depth calculation module is configured to calculate the defect depth of a foundation pile defect, and the credibility evaluation module is configured to output a credibility correction coefficient and feed back the credibility correction coefficient to the wave velocity correction module by quantifying errors of detection data; according to the method, through multi-physical field wave velocity correction, pile diameter-defect depth double correction and credibility quantitative iteration, a high-precision, objective and traceable integrated solution is systematically provided for bridge engineering foundation pile quality detection.

The invention discloses a rock damage assessment method fusing wave velocity and microscopic fracture, and belongs to the technical field of rock damage assessment, and the rock damage assessment method comprises the following steps: arranging a wave velocity testing device on a rock sample, and respectively making an unloaded rock sample and a damaged snapshot rock sample under different stress loading; microcosmic fracture information of the damaged snapshot rock sample is identified, a three-dimensional wave velocity model of the damaged rock sample under different stress loads based on a wave velocity test is constructed, and then a macro-micro scale fusion multi-dimensional data set is constructed; based on the macro-micro scale fusion multi-dimensional data set, constructing and training a rock damage identification model; and inputting the characteristic parameters of the rock sample to be evaluated into the rock damage identification model, identifying the damage distribution characteristics of the rock sample on the spatial scale, and evaluating the rock damage degree. According to the method, accurate prediction and evolution process evaluation of the rock damage degree and spatial distribution can be realized, and a reliable technical means is provided for disaster early warning, stability evaluation and risk prevention and control in complex rock mass projects such as deep mines and tunnels.

The invention relates to the technical field of mine safety and geological environment evaluation, in particular to a mine goaf geological environment dynamic evaluation method based on digital twinning. The method comprises the following steps: constructing a digital twinborn model of a mine goaf, designing a data structure and a virtual-real mapping rule, collecting multi-source heterogeneous data, and performing spatio-temporal data indexing processing to form a spatio-temporal associated data stream; microseismic travel time data are extracted from the space-time associated data stream; performing parallel ray tracing and rapid inversion on the microseismic travel time data to obtain a wave velocity distribution initial value; carrying out wave velocity field self-adaptive grid refinement on the micro-seismic travel time data by utilizing the wave velocity distribution initial value to obtain a multi-resolution wave velocity field; and carrying out wave velocity change rate analysis on the multi-resolution wave velocity field to obtain a wave velocity variability tensor. According to the method, the abstract energy transfer process is concrete into a data field capable of being quantitatively analyzed, so that the geological environment of the goaf is accurately and dynamically evaluated.

The invention relates to the technical field of intelligent operation and maintenance, in particular to a bridge maintenance system based on data analysis, which comprises a multi-source data acquisition module, a fatigue degradation monitoring module, a wave velocity anomaly positioning module, a risk collaborative judgment module and a maintenance task planning module. According to the method, structural fatigue characteristics are subjected to cross validation by integrating two-dimensional data of a strain sequence and a stress wave propagation parameter, and a dynamic window range deviation degree is adopted to replace a static threshold value to establish a datum reference linked with a bridge bearing period; a same-path propagation difference value is extracted by using a high-frequency and low-frequency stress wave frequency band energy separation technology to detect continuous overrun, and a degradation trend weight and a priority list of damage space distribution are generated in combination with multi-index coexistence verification and a hierarchical sorting strategy; resource allocation is optimized by integrating a multi-level response mechanism of emergency repair coordinate positioning, directional detection and regular inspection, accurate crack positioning is achieved, the early degradation trend capturing capacity is enhanced, the misjudgment risk is reduced, and an operation and maintenance response chain is shortened.

The invention discloses a submarine cable insulation performance online monitoring and fault positioning method, a medium and equipment. The method comprises the following steps: S1, synchronously acquiring multi-source sensing data in real time; s2, multi-modal noise cooperative suppression and feature extraction; s3, insulation state degradation evaluation based on multi-feature fusion; s4, double-end traveling wave accurate fault positioning is carried out; and S5, carrying out data visualization and alarm linkage. According to the invention, marine complex environmental noise interference can be effectively suppressed, key parameters representing the insulation state of the submarine cable are monitored in real time in a multi-dimensional manner, and early warning of insulation degradation and preliminary judgment of a fault mode are realized through an intelligent fusion evaluation model. And the improved traveling wave accurate capture and wave velocity dynamic correction technology is utilized to realize accurate positioning of a fault point, so that the accuracy and sensitivity of submarine cable state monitoring and the fault positioning precision can be remarkably improved, and powerful technical support is provided for safe and economical operation of submarine cables.

The invention discloses a transmission tower vulnerability analysis method and system based on seismic simulation, and belongs to the technical field of electric power facility disaster prevention, and the method comprises the steps: correcting bedrock seismic oscillation parameters based on equivalent shear wave velocity, and generating a high-precision earth surface PGA distribution diagram; automatically positioning a key node layer through eigenvalue decomposition, reducing the order of the three-dimensional model of the power transmission tower into a two-dimensional series multi-degree-of-freedom model, and outputting a layer mass vector, a condensation stiffness matrix and rod piece bending stiffness; performing time-history analysis by using the corrected PGA-driven reduced-order model to generate an earthquake damage probability; the multi-source remote sensing data and the PGA are fused, the landslide space probability is output through a deep learning model, and the impact strength and the landslide kinetic energy are calculated to judge the landslide damage probability; and based on the dual-threshold condition triggering probability union set, calculating a comprehensive damage probability, and generating a three-dimensional vulnerable curved surface. According to the method, the problems of high missing report rate and low calculation efficiency of single disaster assessment are solved, and minute-level accurate early warning of the composite disaster risk of the power transmission tower is realized.

The invention discloses a blade bolt state monitoring system and method based on an acoustic emission technology in the technical field of state monitoring of wind power generation equipment. The method comprises the following steps: acquiring acoustic emission signal data of a blade bolt connection area acquired by an acoustic emission sensor array; sequentially carrying out preprocessing and feature extraction processing on the basis of the acoustic emission signal data, and then calculating a wavelet packet energy entropy value; judging whether a triggering condition of multi-sensor data fusion weighting judgment is met or not based on the wavelet packet energy entropy value; when any triggering condition is met, it is judged that the state of the bolt is abnormal, and after comprehensive state recognition is conducted through multi-sensor data fusion weighted judgment and modal acoustic emission wave velocity correction positioning, early warning information including the damage type, the severity degree and position information is output; when the triggering condition is not met, it is judged that the bolt state is normal, and circulating monitoring continues. According to the invention, accurate evaluation and early warning of the blade bolt state are realized through signal acquisition, processing, analysis and early warning.

The invention relates to the technical field of power distribution network fault positioning, in particular to a power distribution network fault traveling wave positioning method and system, and the method comprises the steps: synchronously collecting a transient signal through a distributed traveling wave sensing unit, and extracting an initial traveling wave arrival time; constructing an adaptive wave velocity model based on line physical parameters to calculate an equivalent propagation velocity; dynamically generating a traveling wave propagation tree according to the real-time switch state to determine an effective monitoring path; based on the propagation path and the actual arrival time, an optimization algorithm is adopted to determine a preliminary fault point; and calculating a consistency index of the polarity of the traveling waves of the adjacent nodes, starting a multi-hypothesis tracking mechanism in a preliminary point neighborhood when the consistency index is lower than a threshold value, performing confidence coefficient weighted evaluation by combining a traveling wave attenuation model, and outputting an accurate positioning result. According to the method, through cooperation of dynamic topology mapping, adaptive wave velocity correction and multi-source closed-loop verification, the precision, reliability and adaptive capability of fault positioning in a complex power distribution network environment are remarkably improved, and the operation and maintenance requirements of rapid self-healing are met.

The invention belongs to the technical field of structural damage monitoring, and particularly relates to a structural dynamic tomography and damage monitoring method using self-excitation waves, which comprises the following steps: S1, carrying out spatial discretization processing on a monitored object, and establishing a three-dimensional discrete model; arranging a plurality of sensors on a monitoring object; recording the space coordinates of each sensor; s2, applying external excitation to a known position, and inverting an initial wave velocity field in the monitoring object; s3, extracting self-excitation waves of the monitored object received by each sensor; s4, identifying the arrival time of each self-excitation wave signal on each sensor; the space coordinates of the wave source of each excitation wave signal are calculated through inversion; s5, synchronously updating the wave velocity field based on the space coordinates of the wave sources of the respective excitation waves, and processing to obtain a damage result of the monitored object; and S6, performing corresponding processing based on a damage result. According to the method, dynamic tomography and real-time monitoring of the damage position, range and evolution process can be realized.

The invention relates to the technical field of blasting charging devices, in particular to a surface mine pre-splitting blasting parameter design method which comprises the following steps: acquiring P-wave velocity and differentially constructing a stiffness sequence, mapping a hole depth axis to identify a sudden change area, monitoring displacement and crack rate to extract triaxial deformation, identifying an unstable rock section and setting a charging section. According to the method, the P-wave speed is obtained, differential processing is carried out on the P-wave speed, the P-wave speed is converted into the rigidity gradient change rate, the rigidity gradient change rate is mapped to a hole depth axis recognition sudden change area, crack propagation and hole wall displacement are monitored, and an unstable rock stratum is positioned; and three-axis deformation is extracted to enhance prediction precision, a charging section is set, the dosage is calculated, the energy release efficiency is optimized, and blasting interference optimization is carried out by combining the time delay difference and the inter-hole included angle division distance.

The invention discloses a geological disaster monitoring and early warning system based on a rock-soil body micro-seismic sensing network, particularly relates to the technical field of geological disaster early warning, and is used for solving the problems of insufficient positioning precision and poor early warning reliability caused by neglecting rock stratum heterogeneity in an existing seismic source positioning method. The method comprises the following steps: constructing a three-dimensional heterogeneous rock stratum model containing fractures and faults by acquiring geological exploration data of a monitored area, simulating a distortion propagation path of micro-seismic waves in an anisotropic medium, and generating a waveform feature library; extracting time-frequency domain energy distribution of an actual signal, matching the time-frequency domain energy distribution with the feature library, and dynamically correcting equivalent wave velocity field parameters; calculating a propagation time difference matrix in combination with sensor coordinates and a corrected wave velocity field, and constructing a nonlinear equation set taking wave velocity deviation as a constraint to solve seismic source space coordinates; and finally, generating a dynamic early warning signal based on the distribution relationship between the seismic source and the rock stratum model. And the seismic source positioning precision and the early warning accuracy in a complex rock mass environment are remarkably improved.

The invention provides a multi-modal information acquisition and roof global attitude monitoring method and system, and relates to the technical field of mining safety monitoring and roadway surrounding rock control. The method comprises the following steps of: acquiring acoustic, optical, electrical and mine pressure multi-source data by arranging a fan-shaped drill hole, an annular electrode array and various mine pressure monitoring devices; a wave velocity profile, a fracture parameter set and a resistivity equivalent cloud picture are generated through wavelet noise reduction, fracture recognition and resistivity inversion, space-time registration with a mine pressure data sequence is carried out, and roof partition probability distribution is output through a space-time feature pyramid network. Furthermore, improved XGBoost is adopted for joint inversion of the thickness of the loose circle, the Poisson's ratio and the elastic modulus, probability distribution serves as a space weight, the separation amount and anchoring stress data are fused, and a roof displacement field, a curvature field and a rotation field are reconstructed. And finally, generating an early warning based on a preset safety threshold value, outputting a posture partition map and a monitoring report, and realizing top plate posture transparent deduction and support coordinated regulation and control.

The invention provides a distribution network fault positioning system and method based on dual-mode synchronization and dynamic wave velocity compensation, and belongs to the technical field of distribution network fault positioning. The system comprises a fault signal acquisition module, a dual-mode synchronization module, a line parameter acquisition module, a data processing module and a positioning monitoring module. The fault signal acquisition module acquires and preprocesses fault transient traveling wave signals at the head and tail ends of the distribution network; the dual-mode synchronization module fuses satellite and local synchronization signals and outputs a unified calibration time reference; the line parameter acquisition module identifies the type of a lead and acquires a real-time environment temperature; the data processing module comprises a traveling wave feature extraction unit, a fault type classification unit and a wave velocity compensation unit and is used for completing feature extraction, fault identification and wave velocity adaptation; and the positioning monitoring module calculates the initial position of the fault based on the line information, the time difference and the compensated wave velocity, and outputs an accurate result through topology verification. According to the method, the positioning precision and efficiency are improved, and the method can adapt to a complex distribution network topology.

The invention provides a stratigraphic structure and ground pressure distribution detection method based on wave velocity tomography, and relates to the technical field of wave velocity tomography. The method comprises the following steps: firstly, arranging dense linear detector arrays in a monitoring area at an interval of 5m, and collecting the distribution condition of an aquifer, a lithology detection result and a drill core diagram of the monitoring area; recording seismic wave data, carrying out noise reduction processing on the seismic wave data, picking up arrival time, and associating the arrival time with a waveform event; performing path tracking on an observation result by adopting a wave velocity inversion algorithm, generating a wave velocity tomography image and substituting the wave velocity tomography image into the wave velocity-ground pressure evaluation model; and finally generating a ground pressure distribution diagram.

The invention provides a distribution network traveling wave fault early warning positioning analysis method and system, and belongs to the technical field of smart power grids, and the method comprises the steps: obtaining a plurality of traveling wave signals of a distribution network line, and filtering the interference to obtain a high-fidelity traveling wave signal; constructing a basic wave velocity model and a dynamic wave velocity correction model, and calculating coordinates of a fault point by adopting a double-end, single-end and branch node three-dimensional positioning algorithm; extracting basic parameters of a time domain, a frequency domain and a polarity domain from the high-fidelity traveling wave signal, and obtaining coupling correlation characteristics among the basic parameters; establishing a fault mechanism model library, and substituting the basic parameters and the coupling correlation features into the model library for adaptation to determine a preliminary fault type; and performing parameter conflict verification on the preliminary fault type. According to the distribution network traveling wave fault early warning positioning analysis method provided by the invention, the signal acquisition dimension is expanded to electrical and vibration three-dimensional signals, the fault type identification accuracy is also improved, and different fault types with similar peak values can be accurately distinguished.

The invention discloses an underground coal mine goaf gap space sensing method based on a multiple detection technology, and the method comprises the steps: obtaining a three-dimensional dielectric constant body through a ground penetrating radar, and determining the space position of a goaf gap; resistivity tomography is carried out through the optimally arranged electrode network, and a three-dimensional resistivity body is inverted; constructing a three-dimensional wave velocity body by adopting sound wave detection, and identifying a velocity low-value region; a dielectric constant body, a resistivity body and a wave velocity body obtained by the three technologies are uniformly registered to a cubic grid with a preset resolution and normalized, a caving zone void probability body is constructed by adopting adaptive weighted fusion based on information entropy and a Bayesian maximum posteriori estimation framework, and finally a three-dimensional void model is generated and the total volume is calculated. Through multi-source data fusion of ground penetrating radar, resistivity tomography and sound wave detection, the limitation of a single technology in goaf space detection is solved, the precision of gap detection is improved, and the method is suitable for goaf space perception and treatment.

The invention discloses a grouting splitting pressure simulation device under high-ground and high-water-pressure conditions, and relates to the technical field of tunnel and underground engineering model tests. A first water permeable unit controlled by the water injection unit and a second water permeable unit controlled by the confining pressure unit are respectively arranged at two ends in the length direction, so that water pressure and stratum confining pressure are independently applied. The integrated grouting unit of the device is used for grouting soil in the box and is provided with a comprehensive detection unit, the comprehensive detection unit monitors various parameters such as grouting pressure, water pressure, confining pressure, flow, soil resistance and wave velocity in real time, and independent loading and accurate dynamic control of the grouting pressure, formation water pressure and formation stress can be achieved; therefore, the grouting process of the deep-buried tunnel under the conditions of different burial depths, high water head differences and complex grout characteristics can be simulated in a laboratory with high precision, and the technical bottleneck that the complex environment of high ground stress and high water pressure coupling is difficult to reproduce in a traditional test method is effectively solved.

The invention discloses a method and a system for calculating three-dimensional S wave velocity structure interpolation based on an OTG model, which are based on a hybrid interpolation model fusing OK, TPS and GCN technologies, dynamically adjust the weight of an S wave velocity interpolation predicted value calculated based on three methods of OK, TPS and GCN through an adaptive fusion mechanism, and calculate the S wave velocity interpolation predicted value based on the OTG model. And combining with a predicted point coordinate to obtain a final three-dimensional S-wave velocity structure interpolation. In the process of calculating the final S-wave velocity structure interpolation, the multi-dimensional composite loss function is fused, the deviation between the interpolation result and the real physical attribute of the underground medium is reduced, the optimized interpolation result is deeply coupled with the three-dimensional geologic modeling process, accurate mapping of the S-wave velocity in the three-dimensional space is achieved, and the accuracy of the S-wave velocity in the three-dimensional space is improved. And high-fidelity input is provided for subsequent tasks. The method provides an effective means for the three-dimensional fine modeling of the S-wave velocity, and has important reference value for improving the exploration efficiency of oil and gas resources and optimizing the early warning of engineering geological disasters.

The invention relates to the technical field of roadway surrounding rock stability detection, and discloses a water immersion roadway surrounding rock loosening circle detection method and system, and the method comprises the steps: drilling small-angle inclined drill holes in two sides of a roadway, and injecting pressure water to form a water immersion saturated environment; sound time data are collected through an ultrasonic probe, and a wave velocity-hole depth curve is constructed; identifying a wave velocity gradient abrupt change area based on attenuation characteristics of surrounding rock fractures to sound waves; the inner boundary and the outer boundary of the loose circle are dynamically judged through the wave velocity gradient change rate, and finally a detection report containing the loose circle range is generated. By actively simulating the water immersion coupling environment and combining gradient change rate analysis, the problem of inaccurate boundary recognition caused by water influence of a traditional acoustic wave method is solved, and the accuracy and reliability of a detection result are remarkably improved.

The present application belongs to the field of rock burst risk assessment of deep rock engineering, and particularly relates to a quantitative evaluation method for rock burst tendency of surrounding rock under multiple disturbances, which comprises the following steps: obtaining the distribution depth of excavation damage zone through acoustic testing, and obtaining the average wave velocity of rock mass in the range of original rock zone; obtaining the geological strength index and disturbance factor through the average wave velocity; further obtaining the residual elastic energy of surrounding rock based on the geological strength index and disturbance factor, and evaluating the rock burst tendency of surrounding rock through the residual elastic energy of surrounding rock; the acoustic testing points of surrounding rock are unchanged, and the rock burst tendency of surrounding rock is evaluated after each excavation footage of the working face is completed, until the distribution characteristics of rock burst tendency no longer change obviously, which is taken as the long-term evaluation result of rock burst tendency of surrounding rock. The quantitative evaluation formula of rock burst tendency of surrounding rock considers the rock mass structure effect, which is reflected in the geological strength index, and considers the excavation disturbance effect, which is consistent with the actual situation of engineering construction process, and has strong practicability.

The invention relates to a shale reservoir stratum pore pressure logging prediction method based on an improved Bowers equation, and the method comprises the steps: building an acoustic wave velocity response equation considering the influence of density and organic matter content in combination with the Bowers equation; carrying out a soaking experiment on the rock sample, and obtaining formation acoustic velocity and density subjected to hydration correction based on interval transit time, density and depth resistivity in logging information: obtaining a Bowers equation of a research formation based on the acoustic velocity and density of an undisturbed formation subjected to hydration correction; the Bowers equation of the research stratum is corrected, and an improved Bowers equation of the research stratum is obtained; based on an improved Bowers equation, effective stress and vertical stress of the stratum are calculated; and based on the effective stress and the vertical stress of the stratum, calculating to obtain the stratum pore pressure of the research stratum. According to the corrected Bowers formation pore pressure prediction model established by the invention, the prediction precision is obviously improved, and the development cost is reduced while the occurrence of construction accidents is reduced.

The invention discloses a method for inverting the velocity of a cementing medium after casing based on ultrasonic Lamb waves, and relates to the field of geophysical logging. According to the method, ultrasonic Lamb wave logging and ultrasonic pulse reflection logging are carried out at all depth points through a post-casing scanning imaging logging instrument, waveform records at all the depth points are obtained, the thickness of a casing in the specified direction at all the depth points and acoustic impedance of a post-casing cementing medium are calculated in an inversion mode, and then the thickness of the casing in the specified direction at all the depth points and the acoustic impedance of the post-casing cementing medium are calculated on the basis of the ultrasonic Lamb wave logging waveform records. For each specified orientation of each depth point, Fourier transform is carried out on the full waveform of the near-bending Lamb wave and the full waveform of the far-bending Lamb wave, the phase difference of the far-bending Lamb wave and the far-bending Lamb wave is calculated, group delay processing is carried out, the working frequency band of the imaging logging instrument is scanned after combination, and the phase difference of the far-bending Lamb wave and the near-bending Lamb wave is calculated; and frequency values corresponding to the minimum values of the group delays at all the directions of all the depth points are obtained, and after a frequency set is obtained, the wave velocity and the medium type of the cementing medium after casing are determined according to the frequency values at all the directions in the frequency set, the frequency number of the minimum values and the acoustic impedance value.

The application relates to a kind of multi-branch power distribution network double-end traveling wave fault location method and system, comprising: based on the deployment of multiple measuring points in the head and tail end and branch terminal of radial power distribution network, the line mode wave velocity is calculated by collecting topological information;Using the line mode and zero mode components extracted from the modulus decoupling of three-phase voltage data after fault;Select the strongest line mode component of global mutation as reference, generate wave head timing table through wavelet decomposition and mutation detection;Combined with topology, timing table and line mode wave velocity, corrected zero mode wave velocity, determine the fault interval and output fault location by using line mode and zero mode wave head time difference compensation correction.This application overcomes the positioning error caused by clock asynchronization and parameter disturbance through the wave head timing analysis and time difference compensation mechanism of multiple measuring points cooperation, realizes accurate ranging without the influence of clock error, significantly improves the ranging accuracy;At the same time, the point distribution requirement is simplified, and only branch single measuring point can realize accurate discrimination and positioning of fault interval, with high economy and deployment flexibility.

The invention belongs to the technical field of surface wave frequency dispersion inversion, and particularly discloses a surface wave multi-modal frequency dispersion curve probability inversion method based on modal self-matching, which comprises the following steps of: dividing apparent frequency dispersion data points into two types, namely a basic modal data set and a higher modal data set; constructing a Bayesian equation for inverting multi-modal dispersion data in a non-likelihood inference method framework; establishing the similarity between the distance measurement quantized frequency dispersion data and the simulation sample, and appointing a method suitable for sampling; and representing the uncertainty of a multi-modal dispersion data inversion result (namely a shear wave velocity profile) based on the obtained posterior sample. According to the method, the uncertainty of the shear wave velocity profile obtained by inverting the Rayleigh wave multi-mode dispersion curve can be well quantified, the identifiability of the shear wave velocity profile is improved, and a wrong inversion result caused by misidentification of the mode is avoided by automatically matching the mode number.

This invention discloses a quantitative evaluation method for the homogeneity of lightweight aggregate concrete based on rapid ultrasonic testing, belonging to the field of engineering materials testing technology. The method includes: S1, obtaining the shear wave velocity and longitudinal wave velocity at multiple test points of a series of lightweight aggregate concrete reference specimens; S2, calculating the shear modulus and bulk modulus at each test point of each reference specimen; S3, calculating the elastic modulus at each test point of each reference specimen; S4, constructing a relationship between the lightweight aggregate volume content, shear wave velocity, and longitudinal wave velocity based on the elastic modulus obtained in step S3; S5, obtaining the shear wave velocity and longitudinal wave velocity at each test point of the specimen to be tested, and calculating the lightweight aggregate volume content at each test point of the specimen to be tested based on the relationship; S6, evaluating the homogeneity of the specimen to be tested based on the lightweight aggregate volume content calculated in step S5. This invention solves the technical problem of insufficient accuracy in ultrasonic testing results for the homogeneity of lightweight aggregate concrete.

The invention relates to the technical field of electric pole burial depth measurement, in particular to an electric pole burial depth nondestructive measurement method, system, equipment and medium, and the method comprises the steps: coaxially installing a first sensor and a second sensor on the side wall of an electric pole at a preset interval along the axial direction of the electric pole; impact excitation is applied to the side wall of the electric pole, vibration signals of the first sensor and the second sensor are synchronously collected, and a dual-channel time domain signal is obtained; calculating the wave velocity of the elastic wave in the current electric pole according to the arrival time difference of the head wave in the dual-channel time domain signal and a preset interval; based on the calculated wave velocity and the dual-channel time domain signal, performing signal processing and statistical analysis on a plurality of samples obtained by multiple times of measurement so as to identify the arrival time difference corresponding to the stable uplink reflected wave; and calculating the burial depth of the electric pole according to the identified arrival time difference and wave velocity of the uplink reflected wave. The method has the beneficial effects that the risk of high-altitude operation is thoroughly avoided through double-sensor side wall installation and intelligent algorithm decoupling.

The invention relates to the technical field of power grid faults, in particular to a coal mine power grid fault positioning method, which comprises the following steps: collecting transient current traveling wave signals generated when a fault occurs; executing a first layer of PSO to adaptively find an optimal parameter combination for the VMD, and processing a transient current traveling wave signal based on MRSVD to obtain an input signal of the VMD; inputting an input signal into VMD based on the optimal parameter combination, decomposing to obtain intrinsic mode function components, calculating a kurtosis-permutation entropy index of the intrinsic mode function components, selecting the intrinsic mode function component with the highest value as an optimal mode component, extracting initial traveling wave arrival time by combining a symmetric differential energy operator, executing a second-layer PSO, and obtaining a second-layer PSO; correcting the initial traveling wave arrival time through a physical constraint optimization model, and adjusting the traveling wave velocity by adopting a self-adaptive wave velocity estimation strategy to obtain the corrected traveling wave head time and traveling wave velocity; and calculating the position of the fault point based on the corrected traveling wave head time and traveling wave velocity. According to the invention, rapid and accurate positioning of fault points is realized, and the robustness is high.

The invention discloses a tunnel rock mass water burst and mud burst prediction method and system based on an XGBoost-RF fusion algorithm, and belongs to the technical field of geological disaster prediction. The method comprises the following steps: firstly, preprocessing seismic wave data, and extracting various geological response characteristics including longitudinal wave velocity, wave velocity variation coefficient, Poisson's ratio and the like; then respectively training an XGBoost model and a random forest model, and carrying out probability fusion through a soft voting strategy; and finally, outputting a risk level classification result based on the weighted probability. The core innovation of the invention lies in that the feature fine recognition capability of the XGBoost model and the anti-noise characteristic of the random forest model are effectively combined through algorithm fusion, and the probability calibration and weight optimization mechanism is adopted, so that the recognition precision of middle and high risk categories is remarkably improved. Experiments show that according to the method, the average recall rate of key categories on a test set reaches 0.9925, the overall accuracy rate is 0.990, and the problems that a traditional method is high in high-risk geologic body missed judgment rate and insufficient in generalization ability are effectively solved.

A water-rich tunnel permeability dynamic partitioning method based on multi-source data comprises the following steps: acquiring a permeability coefficient, rock compressive strength, an integrity coefficient, RQD and longitudinal wave velocity data of a tunneling area, and constructing a multi-source feature matrix through space-time alignment and standardization processing; dynamically calculating the weight of each index based on an entropy weight method, and adaptively adjusting the contribution degree of the parameter in combination with the geological type; a standard cloud parameter is generated by using a cloud model, the membership degree of real-time data to each penetration grade is calculated through a forward cloud generator, and a final grading result is comprehensively judged; and mapping a grading result to a three-dimensional BIM model to generate a dynamic penetration cloud picture, and triggering a real-time early warning mechanism. According to the method, through multi-source data fusion and dynamic weight distribution, the static and experience dependence of a traditional grading method is broken through, and the complex stratum permeability evaluation precision is remarkably improved; the level boundary fuzziness is quantified by the cloud model, and the risk of misjudgment of a critical interval is avoided; through deep integration of advanced geological forecast data, permeability space prediction of an unexcavated area is achieved, minute-level early warning and grouting parameter intelligent recommendation are combined, the probability of water inrush accidents is effectively reduced, and an intelligent solution is provided for water-rich tunnel safety construction and resource optimization.