254 results about "Wave detection" patented technology

The invention relates to the technical field of power system fault positioning, in particular to a power distribution network fault accurate positioning method, device and system based on the traveling wave principle, and the method comprises the steps: deploying traveling wave detection equipment at two ends of a certain section of line of a power distribution network, and enabling the traveling wave detection equipment to be used for synchronously collecting potential fault traveling wave signals; analyzing based on the acquired potential fault traveling wave signal, and screening out a fault traveling wave; in the time union set of the local time windows at the two ends, marking the fault traveling wave with the maximum peak value in the single end as a direct wave, analyzing the waveform similarity between the direct wave and the fault traveling wave arriving after the direct wave, and screening out a reflected wave according to the peak value difference; and based on the arrival time of the direct waves and the reflected waves at the two ends, calculating the distance from the fault point to the two ends of the line through a positioning formula to position the fault point. The invention aims to improve the positioning precision of the fault point in the power distribution network by analyzing the distribution characteristics of the pseudo traveling wave signal.

The invention relates to the technical field of semiconductors, in particular to an ultrasonic transmitting circuit, a chip and an ultrasonic module. The ultrasonic transmitting circuit comprises a first control circuit and a signal generating circuit. The first control circuit is used for outputting a first control signal; the signal generation circuit is used for outputting a driving signal according to the first control signal; the driving signal is used for driving a first booster circuit to output an excitation signal, and the voltage of the excitation signal is higher than that of the driving signal; the excitation signal is used for exciting the ultrasonic transducer to emit ultrasonic waves. According to the embodiment of the invention, the energy of ultrasonic waves emitted by the ultrasonic transducer can be improved, so that the ultrasonic receiving circuit can receive echoes with higher energy, and the sensitivity and the signal-to-noise ratio of ultrasonic detection are improved.

The invention relates to the technical field of power transmission line safety monitoring, and particularly discloses a self-adaptive calibration method for an ultrasonic wind speed sensor, which comprises the following steps of: arranging an orthogonal ultrasonic probe array at the top of a tower, and compensating probe offset caused by swinging of a tower body in real time through GNSS / IMU (Global Navigation Satellite System / Inertial Measurement Unit) fusion positioning; integrating a temperature, humidity and pressure sensor and vibration spectrum analysis to construct an environmental parameter compensation model; double-frequency ultrasonic waves are adopted to detect the ice accumulation thickness of the protective cover and correct the sound path distance; deploying a lightweight LSTM model at an edge computing unit to realize minute-level dynamic parameter adjustment; electromagnetic interference is suppressed by combining linear frequency modulation spread spectrum and beam forming technologies; and establishing a three-height-layer wind speed gradient model to generate a galloping early warning. The problem of measurement distortion caused by tower deformation, icing and parameter solidification of a traditional sensor is solved, all-working-condition operation from-40 DEG C to 60 DEG C is supported, and the monitoring reliability in a strong electromagnetic environment is remarkably improved.

The invention relates to the technical field of road engineering detection, in particular to a road disease recognition method and system based on electromagnetic waves and photographic imaging, and the method comprises the steps: firstly obtaining electromagnetic wave detection data and photographic imaging data of a road region, then synchronously detecting the distribution position and thickness of a road thin water film, generating a rasterized water film feature map, and finally obtaining a road disease recognition result. Then, according to the water film characteristic pattern, dynamically correcting bimodal data interference, adjusting a reflected wave amplitude value and a time domain delay parameter for electromagnetic wave detection data, compensating a gray difference and an edge gradient value for photographic imaging data by applying a local reflection suppression algorithm, and finally, fusing the corrected data and associating the state of the water film characteristic pattern to eliminate coupling misjudgment. The system comprises a data acquisition unit, a water film detection unit, a double-domain correction unit and a fusion decision unit, the problem of insufficient identification precision caused by a thin water film is solved, the road disease identification precision is improved, and a reliable basis is provided for road maintenance.

The invention relates to a long-gap discharge leader development speed measurement method based on radiated electromagnetic wave detection. The method comprises a set of high-frequency antennas and a high-speed oscilloscope and a long-gap discharge leader development speed calculating method. The method adopts a certain antenna arrangement form; long-gap discharge radiated electromagnetic wave pulse time is detected simultaneously through the plurality of antennas; leader head position is positioned according to time difference of a signal arriving at different antennas; and furthermore, the long-gap discharge leader development speed can be calculated. The method can effectively improve the measurement precision of the discharge leader development speed, and resolution reaches the level of 0.1 ns.

The invention discloses an automatic grading device for thermal shock cracks of a coating and an application method. Comprising a terahertz wave detection module, a laser ultrasonic excitation and detection module, a high-precision three-dimensional motion control platform, a multi-mode signal synchronous acquisition and processing unit, a crack intelligent grading evaluation unit, an environment simulation and temperature control unit, a protective shell and a human-computer interaction interface. The near-surface dielectric property change of the coating is represented through the terahertz technology, the deep mechanical property evolution is detected through the laser ultrasonic technology, the thermal shock service condition is reproduced in combination with a high-temperature environment simulation unit, and a multi-modal feature fusion algorithm and a physical model and machine learning collaborative inversion model are adopted to obtain the thermal shock resistance of the coating. And automatic quantitative evaluation and severity grading of the depth, density, length and network connectivity of the thermal shock cracks of the thermal barrier coating are realized. The problems that an existing single detection method is insensitive to vertical cracks, poor in high-temperature environment adaptability and low in manual evaluation efficiency are solved.

The invention discloses a breathing and electrocardio information integrated recording and displaying method and system based on overall spatial-temporal characteristics. The method comprises the steps that a high-precision sensor synchronously collects electrocardiogram, phonocardiogram, arterial pulse waveform, venous pulse waveform and breathing wave signals and preprocesses the signals based on different signal characteristics; carrying out multi-cycle electrocardiogram merging by utilizing an R-wave detection algorithm and introducing a variational mode decomposition algorithm; carrying out feature extraction from the multi-mode signal, and carrying out respiratory wave and electrocardiowave conjoint analysis; carrying out feature fusion through a spatial-temporal feature fusion network of a multi-branch attention mechanism, and generating and displaying a combined electrocardiograph distribution diagram; carrying out anomaly detection through an anomaly detection model based on a Transform architecture; synchronously displaying in an integrated display interface; according to the system and the method, efficient acquisition, analysis and visualization of the multi-modal physiological signals are realized by integrating synchronous acquisition, intelligent interpretation and integrated display of various physiological signals, and the efficiency and the accuracy of clinical diagnosis are favorably improved.

The invention belongs to the technical field of magnetic variable measurement, and particularly relates to a power driving compensation method and system for magnetostrictive load characteristic monitoring, and the method comprises the steps: obtaining a reference zero point of magnetic performance evolution in a cold state environment of an electromagnetic system according to the center frequency of the electromagnetic system; calculating a current main frequency impedance module value and a phase difference through an electrical parameter characterization method, and obtaining a thermal drift index reflecting a hysteresis loop distortion degree in combination with a reference zero point; obtaining correction factors of all orders based on the thermal drift index and the average output power at the current moment, and dynamically updating a coefficient vector of the inverse model; and constructing a pre-distortion driving voltage signal capable of counteracting nonlinear interference by using the new coefficient and the ideal guided wave voltage sequence, and inputting the pre-distortion driving voltage signal to a power amplifier to drive the magnetostrictive transducer. According to the invention, the problem of predistortion failure under a variable-temperature working condition in the prior art is solved, and the signal-to-noise ratio of high-power long-distance guided wave detection is remarkably improved.

The invention discloses an ultrasonic double-wave detection and monitoring method and an ultrasonic double-wave transducer, and the ultrasonic double-wave transducer comprises a piezoelectric element which is used for exciting a longitudinal wave signal and a transverse wave signal at the same time under the excitation of a single electric pulse; the backing layer is positioned on the back surface of the piezoelectric element and is used for absorbing longitudinal wave energy radiated to the back surface by the piezoelectric element; the matching layer is arranged between the piezoelectric element and the tested workpiece and is used for acoustic impedance matching; the electrical connection device is used for connecting an external excitation generator and receiving equipment; and the metal shell is used for packaging the piezoelectric element, the backing layer, the matching layer and the electrical connection device and is provided with a structure for applying pre-tightening force. According to the invention, dual-mode excitation is realized through a single piezoelectric plate structure, and the efficiency, precision and reliability of dual-wave ultrasonic detection are improved.

The invention discloses a construction method of an anchoring anchor rod crack defect guided wave detection numerical model, and belongs to the field of anchor rod nondestructive detection.According to the constructed numerical model, finite element-infinite element coupling is adopted for optimizing the surrounding rock stratum boundary, the problem of boundary multi-reflection echoes caused by artificial boundary truncation is solved, and the detection accuracy is improved. The workload of overall grid division is reduced; the method improves the calculation efficiency while guaranteeing the propagation precision, and effectively simulates the guided wave propagation behavior in the infinite boundary of the surrounding rock stratum. The numerical model constructed by the method is used for detecting the crack of the anchor rod under different defect degrees, so that the defect echo amplitude is in an ascending trend along with the increase of the defect degrees, and the bottom echo amplitude is in a descending trend along with the increase of the defect degrees. The numerical model constructed by the method positions the defect position of the anchor rod crack under different defect degrees, the result shows that the change of the defect degree basically does not influence the positioning of the defect position, the defect position can be accurately positioned through the one-way defect echo and the bottom echo, and the error range is less than or equal to 3%.

The invention provides a rock-soil moisture content and permeability testing system and method based on electromagnetic waves and infrared rays, and particularly relates to the technical field of geotechnical engineering testing and multi-source signal detection. According to the test system, construction of a rock-soil permeability experiment is realized through a rock-soil sample permeability test platform, the electromagnetic wave detection module realizes perception of a water-containing state in rock-soil, and the infrared thermal imaging module realizes perception of a wet boundary and seepage expansion characteristics of a rock-soil surface. The data acquisition and control module realizes integral control of a penetration experiment and acquisition of dielectric characteristics and infrared images, the signal fusion and inversion module realizes fusion of the dielectric characteristics and the infrared images and joint inversion of dynamic moisture content and penetration performance, and the result processing and visualization module realizes visual display of an inversion result; the method has the remarkable advantages of non-destructiveness, real-time performance, high spatial resolution, high adaptability, intelligent processing capacity and the like, and comprehensive characterization of the permeability behavior and the moisture content evolution process of the rock and soil sample is achieved.

The invention relates to the technical field of ocean internal solitary wave detection, in particular to an internal solitary wave detection algorithm fusing multi-modal feature deep learning under a high sea condition, and the algorithm comprises the steps: collecting an internal solitary wave data set under the high sea condition, and extracting the spectrum features of internal solitary wave data; constructing an internal solitary wave detection model AspectNet under the high sea condition fused with adaptive two-dimensional spectrum analysis according to the spectrum features; a multi-modal internal solitary wave detection model VIT-Multi-ISWNet under the high sea condition is constructed through an internal solitary wave detection model AspectNet under the high sea condition in combination with a multi-modal space-time attention mechanism, and the multi-modal internal solitary wave detection model VIT-Multi-ISWNet under the high sea condition is used for detecting the position of an internal solitary wave under the high sea condition. The internal solitary wave detection method fusing multi-modal feature deep learning under the high sea condition is high in universality, and target detection of more ocean phenomena can be achieved by modifying different types of data set training.

The invention relates to the technical field of electromagnetic wave detection and imaging, and discloses a radar target echo generation method based on a physical information neural radiation field, which effectively improves the physical consistency of generated echo signals, accurately simulates the energy attenuation characteristics at different observation angles, and improves the radar target echo generation efficiency. The problem of signal completion under the sparse view angle condition is solved. The signal generated by the method is highly matched with measured data in the aspects of amplitude distribution, phase continuity and energy envelope form, a reliable data basis is provided for radar target identification and feature analysis, and the perception capability of a network on target geometric details is enhanced through high-dimensional position coding. Therefore, the generated echo signal can accurately reflect the spatial distribution characteristics of the scattering center. Meanwhile, due to the introduction of the multi-frequency coding sequence, the network can adaptively capture electromagnetic scattering characteristics under different scales, and a reliable technical means is provided for echo generation of a complex target.

An electronic device may include signal transmission circuitry having a signal path and a signal source that transmits a signal on the signal path. First and second signal couplers may be coupled to the signal path. Control circuitry may use the first signal coupler to measure the signal at a first reference plane and may use the second signal coupler to concurrently measure the signal at a second reference plane. The signal measurements may include power wave, forward wave, reverse wave, impedance, and / or delivered power measurements. Terminations in the signal couplers may be adjusted to dynamically shift the reference planes. The first and second signal couplers may be formed from first and third metallization layers on a stacked dielectric substrate, where the signal path is formed from a second metallization layer. Additional signal couplers may be coupled to the signal path for concurrently measuring additional reference planes.

The invention relates to the technical field of image detection, and provides a multi-mode wafer defect detection system. The system comprises a guided wave acquisition module, a stress reconstruction module, a crack database building module, a type identification module and a multi-modal data fusion module, stress distribution information of a crack area is extracted through guided wave propagation parameters, and depth positioning and space calibration of cracks in a multi-layer structure are realized in combination with correction of propagation velocity by temperature. A crack database is constructed by utilizing wave velocity characteristics generated by standardized indentations, a clear mapping relation is established between propagation characteristics and crack types, so that the accuracy of crack property judgment is improved, and the accuracy of crack property judgment is improved by performing spatial registration on a crack recognition result and a stripe abnormal region in an optical interference pattern. Recognition blind areas existing in image detection can be effectively covered, guided wave detection and optical detection results are fused, and the defect coverage range and recognition integrity are enhanced.

The invention discloses a magnetocardiogram P-wave detection method based on wavelet analysis and a local noise self-adaptive threshold, which is characterized in that accurate and robust detection of a P wave is realized by searching on a characteristic scale which can highlight the P wave, a self-adaptive threshold confirmation mechanism based on local noise estimation is introduced, and a self-adaptive threshold confirmation mechanism is established for a time domain search window of each cardiac cycle. According to the method, the internal noise level is dynamically evaluated, and an estimated value capable of accurately reflecting the local noise condition of the current heart beat can be obtained by carrying out statistical analysis on wavelet coefficients in a characteristic scale in an area where P waves are most likely to appear.

The invention discloses an asphalt pavement deep layer state evaluation detection method based on intelligent with body, which comprises the following steps: S1, intelligent with body detection equipment deployment: constructing detection equipment comprising a ground penetrating radar, a laser radar, an industrial camera and a multi-sensor fusion module, and acquiring road deep layer electromagnetic characteristic data by the ground penetrating radar through high-frequency electromagnetic wave detection, the laser radar obtains data such as three-dimensional flatness of a construction surface through optical ranging, and equipment is carried on a mobile platform capable of autonomously moving along a preset detection path. The high-frequency ground penetrating radar, the high-density three-dimensional laser radar and the industrial camera are combined to realize synchronous acquisition of deep electromagnetic characteristics and surface three-dimensional flatness of the pavement, the ground penetrating radar penetrates through a pavement structure layer to obtain dielectric characteristic data, the laser radar captures surface geometric characteristics, and the two are fused in real time through Kalman filtering to obtain the three-dimensional flatness of the pavement. And the problem of detection dimension limitation of a traditional single technology is solved.

The invention discloses a millimeter wave detection complex scene analysis method and a millimeter wave detection complex scene analysis system, relates to the technical field of millimeter wave analysis, and is used for solving the problem that the probability of misjudging a target state by a system is increased due to a target speed identification error. Calculating a radial speed of a target object; acquiring acceleration and tension data of a conveyor belt; calculating acceleration power spectral density and tension change rate; evaluating the running state of the conveyor belt; and finally, the target actual speed is obtained by combining the correction speed and the impact factor, the object state is judged according to the minimum speed resolution threshold value of the millimeter wave radar, a conveyor belt control instruction is output, and stable operation of the system is guaranteed.

The application discloses a cochlear implant multi-channel stimulation pulse half-wave detection system and method, and relates to the technical field of cochlear implants, in particular to a cochlear implant multi-channel stimulation pulse half-wave detection system and method. The system comprises a test board, a head piece and a speech processor, and further comprises a half-wave detection unit and a multi-channel collector. The test board comprises a receiving coil, a stimulator, a stimulation electrode and a test electrode terminal. The speech processor receives and processes sound signals and encodes the sound signals. The encoded signals are transmitted to the receiving coil through the head piece. After decoding processing by the stimulator, pulse signals with corresponding frequencies and current intensities are generated and transmitted to each stimulation electrode. The stimulation electrode is connected to the test electrode terminal. The test electrode terminal is connected to the multi-channel collector. The multi-channel collector is connected to the half-wave detection unit. The multi-channel collector combines n stimulation electrodes to transmit signals to the half-wave detection unit for half-wave detection. The application utilizes the multi-channel collector and the half-wave detection unit to realize automatic half-wave detection, reduce labor costs, and improve the efficiency and success rate of half-wave detection.

The invention discloses a guided wave detection and quantitative evaluation method for submarine pipeline routing deviation. The method comprises the steps that S1, an excitation end module periodically injects stable guided wave signals into a pipeline; s2, an annular receiving module for synchronously receiving signals in the whole annular direction is installed at a terminal of the pipeline, and guided wave signals propagated for a long distance are accurately captured; s3, filtering and enhancing the originally collected noisy signals; s4, performing time-frequency analysis and waveform inversion on the received signal, and respectively extracting: calculating the equivalent curvature radius of the offset section according to the propagation velocity change; extracting phase lag information according to the phase change, and calculating a vibration path increment; calculating the overall transmission loss according to the amplitude attenuation degree; and S5, establishing a comprehensive identification criterion fusing the three types of feature parameters. The low-attenuation long-distance propagation characteristic of the L (0, 1) mode is utilized, the excitation device and the receiving array are arranged at the two ends of the pipeline, and online periodic remote monitoring under the non-stop production state is achieved.

The application discloses a double-lead finger clip electrode biological wave detection method and device, and belongs to the technical field of biomedical engineering, and comprises a mechanical contact terminal, an intelligent adaptive module and a display terminal; the mechanical contact terminal comprises left and right two finger clip electrodes and is used for receiving biological wave signals in real time; the intelligent adaptive module is used for pre-processing the received biological wave signals, dividing the biological wave signals into low, medium and high frequency bands to extract key features, calculating cross-correlation coefficients and baseline drift amplitudes, constructing a classification model, identifying a user age range and automatically adjusting mode parameters, checking contact stability through a fast resampling mechanism and a dynamic threshold, and performing impedance compensation; and the display terminal is used for decomposing biological wave signals, extracting multi-domain features, modeling through a space-time attention LSTM network, calculating a physiological age and a health risk index, and generating an intervention measure recommendation list.

The invention discloses a millimeter wave detection anti-noise performance improvement method and a millimeter wave detection anti-noise performance improvement system, relates to the technical field of anti-noise performance improvement, and is used for solving the problem of defect discrimination sensitivity and positioning precision reduction caused by insufficient identification accuracy of sound wave or radar detection in a high-humidity and high-noise tunnel environment. Target echo power is calculated by transmitting millimeter wave signals and receiving tunnel wall surface echoes, noise is collected and noise power is extracted, a gain adjustment coefficient is obtained based on the ratio of the two echoes, target signals are amplified, and a judgment threshold value is generated by combining wall surface material reflection characteristics so as to identify structural defects and generate abnormal information. The method comprises the following steps: adjusting the bandwidth of a receiving filter to obtain an optimized echo signal, analyzing the type, position and severity of a defect, extracting a multi-path echo delay difference to realize accurate positioning, and finally judging whether to generate early warning information or not by combining the delay difference and abnormal information, thereby improving the detection precision and response speed of the system under noise interference.

The invention discloses a tunnel advanced geological forecast device and system, the device comprises a mobile frame, a seismic wave detection sub-assembly, an electromagnetic wave detection assembly and an electric wheel, the electric wheel is assembled on the lower end face of the mobile frame, and the seismic wave detection sub-assembly and the electromagnetic wave detection assembly are respectively assembled on the left side and the right side of the upper end face of the mobile frame. A triangular push plate is assembled at the bottom of the movable frame, a transmission mechanism is assembled on the lower end face of the movable frame, and a water spraying mechanism is assembled on the upper end face of the movable frame. According to the tunnel advanced geology forecasting device and system, interference of air suspended particles on signal transmission of the electromagnetic wave detection assembly and the seismic wave detection sub-assembly is reduced, meanwhile, the design of the wide-mouth water spraying pipe expands the water mist coverage range, the visibility of the working environment is optimized, engineers can evaluate the rock stratum stability in real time, tunneling parameters are optimized, and the working efficiency is improved. And therefore, the safety and efficiency of tunnel construction are remarkably improved.

The invention discloses a power grid harmonic wave and inter-harmonic wave detection method and device based on distributed multi-frequency measurement data, equipment and a medium. A sine wave method comprises the following steps: detecting harmonic wave and inter-harmonic wave components existing at each sine wave measurement point based on a random matrix theory; determining the frequency and amplitude of each harmonic wave and inter-harmonic wave of each sine wave measurement point by using a rotation invariant technology; clustering the frequency of each harmonic wave and inter-harmonic wave on each measurement point by using a density-based noise application space clustering method to obtain the target frequency of each frequency cluster; and determining harmonics and inter-harmonics of the power grid according to the target frequency and the amplitude. Each harmonic and inter-harmonic component existing on a measurement point is detected through a random matrix theory and a rotation invariant technology, accurate frequencies and amplitudes of the harmonic and the inter-harmonic are obtained, and more accurate frequencies of the harmonic and the inter-harmonic of a power grid are obtained by fusing data of a plurality of distributed measurement points through a clustering method. Therefore, the detection capability of harmonic waves and inter-harmonic waves of a power grid is improved.

The invention relates to the technical field of traveling wave detection, and particularly provides a power distribution network traveling wave adaptive filtering method and device based on a random forest model, and the method comprises the steps: carrying out the multi-scale decomposition of a first traveling wave signal according to discrete wavelet transform, and obtaining a first detail coefficient and a first approximation coefficient; performing multi-dimensional feature extraction according to the first traveling wave signal and the first detail coefficient to obtain a first feature vector of the first traveling wave signal; inputting the first feature vector into a trained random forest model, and outputting an optimal wavelet threshold function type and an optimal threshold of the first traveling wave signal through the random forest model; performing threshold processing on the first detail coefficient according to the optimal wavelet threshold function type and the optimal threshold to obtain a denoised second detail coefficient; and reconstructing the first traveling wave signal according to the second detail coefficient and the first approximation coefficient to obtain a second traveling wave signal. Noise can be effectively suppressed, and the fault point positioning accuracy is improved.

The present application belongs to the field of intelligent medical treatment and health monitoring technology, and specifically relates to a heart-source sudden death risk monitoring and early warning system and method based on multi-source signal collaborative analysis. The method aims to solve the technical problem of signal quality degradation caused by motion artifact interference in existing wearable electrocardio monitoring. It includes: synchronously collecting electrocardio signals and three-axis acceleration signals through a wearable device, performing adaptive motion artifact filtering based on acceleration reference, power frequency notch filtering and baseline drift correction; performing QRS wave detection and feature extraction on the preprocessed waveform, combining with the motion intensity index to mark the candidate risk event segment; transmitting the structured event data packet to a mobile terminal, outputting the risk arrhythmia confidence degree by using a lightweight time sequence neural network model, and performing comprehensive risk assessment by fusing the event duration and frequency, the user real-time activity state and the individualized historical baseline; and performing differentiated response strategies according to the risk level.

The invention discloses a signal quality calculation method and system for a launching tower, and relates to the technical field of wireless communication, and the method comprises the following steps: calculating a first ratio, judging whether a transmission characteristic function of elastic waves has a local boundary, executing first regulation and control on first power when the local boundary does not exist, and executing second regulation and control on second power when the local boundary does not exist; and calculating a first characteristic value of the elastic wave, constructing an elastic-electric transmission characteristic value expression, calculating a second characteristic value of the electromagnetic wave, and calculating the signal quality of the launching tower. Direct electromagnetic wave detection is replaced by elastic waves, electromagnetic interference and complex environment influence are avoided, objective, stable and repeatable signal quality quantification is realized based on indirect mapping of characteristic values, an adaptive regulation and control mechanism ensures that the elastic waves are in an optimal coupling state of boundary localization, a spherical Bessel function is analyzed and calculated, the characteristic values are efficiently acquired, and the detection accuracy is improved. And the main radiation direction is accurately positioned, the evaluation is focused on a key transmission path, and a technical basis of closed-loop feedback and automatic optimization is provided for signal quality monitoring of the launching tower.

A supporting foundation state monitoring device for a drainage pipeline comprises a hole rod (5) arranged on a water inlet hole of the drainage pipeline, a reflecting plate (6) arranged on the end face portion of the upper end of the middle of the drainage pipeline, a walking vehicle (3) arranged in the drainage pipeline, and a radar detection head (2) arranged on the walking vehicle (3). According to the invention, the radar wave detection position of the drainage pipeline is identified, the vehicle-mounted motion support of the radar detection head (2) is realized through the walking vehicle (3), and the radar wave detection of the supporting foundation state of the drainage pipeline is realized through the radar detection head (2). According to the invention, the on-line monitoring of the supporting foundation state disease defect of the drainage pipeline is realized through the detection wave band, and the technical problem that the basic condition in the pipeline is shot by using the monitoring lens is solved, so that the monitoring requirement of the supporting foundation state of the drainage pipeline is met.

The embodiment of the application discloses a parameter acquisition method of an oscillation waveform detection system, relates to the technical field of power system control, and accurately acquires the equivalent resistance value, the equivalent inductance value and the equivalent distributed capacitance value of a winding of a transformer to be measured, the output voltage of a high-voltage direct-current power supply, the maximum input voltage of a data acquisition module, the maximum charging current value allowed by a charging detection loop and the like, and based on the indexes, the first capacitance value of a parallel capacitor, the second capacitance value of a voltage division capacitor, the third capacitance value of a measurement capacitor and the resistance range of a current limiting resistor in the oscillation waveform detection system are acquired, the uncertainty caused by empirical design is avoided, the quality of generated oscillation waveforms is ensured to be stable and controllable, consistent and reliable detection results on transformers of different capacities and voltage grades are ensured, and the accuracy and universality of the oscillation wave detection method in practical application are improved.

An RRI measurement device includes: an R wave detection unit configured to detect a peak point of an R wave from a sampling data sequence of an electrocardiogram signal of a subject; an R wave detection unit configured to estimate a waveform near the R wave of the electrocardiogram signal on the basis of the peak point of the R wave detected by the R wave detection unit and sampling data of the electrocardiogram signal before and after the peak point and to detect the peak point of the R wave again on the basis of the estimated waveform; and an RRI calculation unit configured to calculate an RRI on the basis of time-series data of the peak point of the R wave detected by the R wave detection unit.