80 results about "Echo detection" patented technology

The invention discloses a wharf armor block quality detection method, and belongs to the technical field of concrete structure detection.The method comprises the steps that a surface model is constructed through a movable three-dimensional laser scanning device, and a high-risk defect area is recognized; performing encryption scanning and impact echo detection in the high-risk area by adopting a frequency-adjustable dual-mode flaw detection device to generate a three-dimensional defect distribution diagram; a core sample is drilled in the defect area for compressive strength testing, and the material performance is analyzed in combination with a non-contact infrared spectrum; and establishing a dynamic evaluation model, calculating a safety coefficient by integrating surface defects, internal defects and material discreteness data, and generating a three-dimensional visual report. The problems that a traditional detection method is low in efficiency, insufficient in internal defect positioning precision, one-sided in material performance evaluation and the like are solved, full-dimensional detection from the surface to the interior and from the macroscopic level to the microscopic level is achieved through a multi-source data fusion and closed-loop feedback mechanism, and the reliability of structural safety evaluation and the scientificity of maintenance decision are remarkably improved.

The invention relates to the technical field of echo detection, in particular to an active sonar echo detection method, which comprises the steps of collecting active sonar reverberation data; constructing an active sonar channel, and generating reverberation data of a target echo; extracting target echo signal features by using matched filtering; a classification model of an improved SwinTransform is constructed, pooling, full connection and residual structures are constructed behind a Patch Merge layer of a hierarchical model of different stages, a transient target peak value in a reverberation background is highlighted, and time-frequency correlation characteristics of reverberation and a target are captured. According to the method, the problem that the accuracy of predicting whether a target exists or not by using sonar echoes through a Swin Transformer model needs to be further improved is solved.

The invention relates to the technical field of cable measurement, and discloses a cable length measurement method based on coupling inductance and TDC, and the method comprises the following steps: test pulse reset, channel sequential gating, threshold dynamic adjustment, TDC state configuration, channel stable waiting, test pulse generation, time difference precise capture, validity intelligent judgment and data sorting optimization. According to the cable length measurement method based on the coupling inductor and the TDC, the coupling inductor is adopted to replace an FPGA to generate narrow pulses, the TDC is adopted to replace a high-speed ADC, and the hardware cost is reduced by 60%-80%; by optimizing the pulse generation and echo detection circuit, the measurement blind area is reduced to 0.5 m, the short-distance cable measurement requirement is met, and the device has the advantage of being small in measurement blind area.

The invention discloses a current transformer oil level monitoring system based on ultrasonic echo detection, which relates to the technical field of electric power monitoring and comprises the following steps: acquiring original echo time sequence data; calculating the distance between the transmitting end and the top of the metal expander by combining the propagation velocity of the ultrasonic waves in the air; and when the oil level height value is lower than a set threshold value, an alarm signal is triggered. According to the invention, the problems of easy clamping stagnation, complex installation, large temperature drift and environmental interference and the like of the traditional float-type, pressure-type and window observation methods are effectively overcome, remote uploading and local acousto-optic prompt are supported, and intelligent inspection and fault pre-warning identification under unattended operation are realized; and the operation safety, the monitoring reliability and the operation and maintenance intelligent level of the oil-immersed current transformer are remarkably improved.

The embodiment of the invention provides a transducer echo line sequence test method and a transducer echo line sequence test device, and the method comprises the steps: enabling a detection surface and a horizontal plane to form a first angle in an echo detection state, comparing waveform data of feedback signals obtained by reflecting the ultrasonic signals emitted by the plurality of test array elements through the detection surface with preset qualified data to determine a performance result of the transducer; in the line sequence detection state, a second angle is formed between the detection surface and the horizontal plane, and the actual flight time difference value of each adjacent test array element in the plurality of test array elements is determined according to waveform data of feedback signals obtained by reflecting ultrasonic signals emitted by the plurality of test array elements through the detection surface, and according to a comparison relation between a difference value between the actual flight time difference value and the theoretical flight time difference value and a preset threshold value, whether welding of each test array element is correct or not is determined. Therefore, an echo performance detection function and a multi-array element line sequence detection function can be integrated.

The invention discloses an LFM frequency hopping signal long-distance target echo detection method, terminal equipment and a storage medium, and the method comprises the steps: constructing the two-dimensional time-frequency features and one-dimensional matched filtering features of a target echo, extracting the two-dimensional time-frequency features through employing a CNN network, and extracting one-dimensional time sequence features through an SE-CNN-GRU network; carrying out weighted fusion on the multi-dimensional features through a self-adaptive weighted fusion module; a multi-head attention mechanism is introduced to enhance the fused features; and outputting a classification result through the full connection layer and the Softmax layer to obtain a detection result of the target echo. According to the method, one-dimensional matched filtering and a two-dimensional time-frequency graph are selected as input features of the artificial intelligence detection method, the advantages of different artificial intelligence networks are fully utilized to perform multi-dimensional feature mining, adaptive weighted fusion is performed through complementarity and correlation of the multi-dimensional features, and the fused features are further enhanced through an attention mechanism, so that the detection accuracy of the artificial intelligence detection method is improved. Therefore, the target echo detection capability is improved, and high detection accuracy and robustness can be realized in a low signal-to-noise ratio environment.

The invention discloses a side slope displacement monitoring method and device based on quantum single photons and a medium, and belongs to the technical field of displacement monitoring. Rectangular light pulses are emitted periodically, echo detection is completed by using a single photon detector, a photon counting time sequence is constructed, wavelet denoising and reconstruction processing is performed on the photon counting time sequence, main peak position offset, energy change and form distortion are extracted to match multiple types of feature vectors, and feature fusion and resolving are performed through a multi-source feature fusion BP neural network. And finally outputting a high-precision slope displacement result. According to the method, the quantum single-photon detection technology is combined with the wavelet denoising and neural network fusion algorithm, noise interference is effectively suppressed, the displacement feature extraction precision is improved, and the method is suitable for high-precision and long-distance slope micro-deformation real-time monitoring.

Systems and methods are provided for subway personnel detection. An ultra-wideband (UWB) based detection of objects in subway tunnels may include transmitting UWB signals into an area within a subway tunnel, the area including one or more tracks traversed by trains running in the subway tunnel, receiving UWB signals within the area, and processing received UWB signals to enable detecting objects within the area. The processing may include identifying received UWB signals corresponding to echoes of the transmitted UWB signal transmitted by the detection devices, and detecting based on the echoes of the transmitted UWB signals when an object is present within the area. The object may be assessed, such as to determine when the object represents an intrusion within the area of the subway tunnel.

The utility model relates to the technical field of transducers, and discloses an ultrasonic echo detection circuit, comprising a common-mode module which is connected to a first echo input end and a second echo input end, receives a first input signal and a second input signal, and is used for carrying out common-mode processing on the first input signal and the second input signal and sending the processed signal to a processor; obtaining and outputting a first direct-current signal and a second direct-current signal; the amplification module is connected with the common-mode module, receives the first direct-current signal and the second direct-current signal, amplifies the first direct-current signal and the second direct-current signal respectively, and outputs the amplified first direct-current signal and the amplified second direct-current signal; and the filtering module is respectively connected with the amplification module and the echo output end, receives the amplified first direct current signal and the amplified second direct current signal, filters common-mode signals for the amplified first direct current signal and the amplified second direct current signal to obtain a differential signal, and outputs the differential signal to the echo output end. The problems that detected ultrasonic echo signals are large in signal noise and low in integrity are solved.

This invention discloses a clutter discrimination and suppression method based on multiple echo features, comprising: acquiring radar front-end clutter and target echo detection video data and dividing it into several connected regions; extracting multi-dimensional features and labeling prior information for each connected region; using the Relief feature selection algorithm to calculate and filter the weights of the multi-dimensional features, removing redundant features to obtain the optimal feature vector; using this feature vector to train a support vector machine classifier, and obtaining the optimal parameter model through cross-validation; acquiring measured clutter data, extracting corresponding features and inputting them into the model; and determining whether to remove clutter and retain targets based on the output. This invention effectively filters out dynamic clutter spots, avoids false deletion of weak targets, significantly reduces the false alarm rate of the system, and alleviates the computational burden of subsequent track processing.

The application discloses a kind of fast detection SMT patch quality device and method, including conveying line, and the top side of conveying line rear end is provided with sorting mechanism, and the outer wall on the top side of conveying line is welded with stand, and drive mechanism is arranged on the stand, and drive mechanism is installed with echo detector above conveying line, drive mechanism includes the rotating shaft installed on stand, and one end of rotating shaft is fixedly installed with crankshaft, and the end away from rotating shaft of crankshaft is fixedly provided with bearing seat, bearing seat is inserted with transmission rod in its inside, and one end of transmission rod is welded with fixed plate.The application mainly generates multidimensional echo signal by echo detector, the form of SMT patch on conveying line is shot by echo detector and transmitted to controller, and displayed on display, while it can be compared with reference picture or data input in storage module, SMT patch exceeding specified range will be marked, greatly shorten the inspection time and improve the inspection qualified rate of product.

This application belongs to the field of speech processing technology and discloses a method, apparatus, electronic device, and computer-readable storage medium for echo detection. The method includes: acquiring a first speech sent to a target device; acquiring a second speech responded by the target device based on the first speech; determining the similarity between the first speech and the second speech; and obtaining an echo detection result based on the similarity. This allows for accurate detection of speech echoes, thereby avoiding voice interaction errors caused by echoes.

This invention achieves detection of non-cooperative aerial targets such as low, small, and slow aircraft by adding echo detection capabilities for the 1030MHz C / S mode interrogation signal and the 1090MHz C / S / ES mode reply signal. It also eliminates false ADS-B targets by integrating and judging the track information of non-cooperative targets, ADS-B track information, and TCAS track information. The solution uses software-defined radio technology to implement signal coding and modulation, frequency sorting, and signal analysis, achieving an integrated detection and identification design without significantly increasing the size, weight, or power consumption of existing hardware. This not only integrates and shares hardware resources, improving hardware utilization, but also allows for deep complementarity and fusion of detection and communication information, enabling efficient information exchange and significantly improving the system's cost-effectiveness. It also addresses the detection and identification of non-cooperative targets such as low, small, and slow aircraft and false ADS-B targets.

The invention discloses an underwater pile foundation cleaning and detecting integrated device and a pile climbing robot, the integrated device comprises a frame unit, a cleaning unit and a detecting unit, the bottom of the frame unit is fixed to the top of the pile climbing robot, the middle of the frame unit is provided with a connecting part, and the connecting part is arranged outside a pile foundation in a sleeving mode; the cleaning unit comprises at least one chemical reagent spray-washing assembly and at least one boiling water flushing assembly, and the chemical reagent spray-washing assembly and the boiling water flushing assembly are arranged at the top of the frame unit; the detection unit comprises at least one camera detection assembly and at least one impact echo detection assembly, and the camera detection assembly and the impact echo detection assembly are arranged on the top of the frame unit. The technical problems that in the prior art, the function is single, the adaptability is poor, the integration degree is low, the cleaning effect is poor, and the detection precision is insufficient are solved.

The application belongs to the technical field of ultrasonic signal processing, and particularly relates to a dual-task deep learning model, an ultrasonic echo signal recognition and positioning method and a system, wherein the ultrasonic echo signal recognition and positioning method comprises obtaining a one-dimensional time sequence signal, inputting the one-dimensional time sequence signal into a trained dual-task deep learning model, and obtaining an echo detection result and a position prediction result. The application couples two tasks of 'classification of existence of echo' and 'positioning of position of echo' in a unified end-to-end model for joint optimization through construction of an innovative dual-task deep learning model architecture, a shared feature extraction backbone enables the model to learn powerful feature representations common to both tasks, the correlation information between tasks is utilized, and the performance is promoted and improved in cooperation, thereby improving the efficiency, so that higher comprehensive performance is obtained than that of processing the two tasks separately.

The application discloses a satellite shell part with low radar echo scattering, and belongs to the technical field of on-orbit stealth of aerospace vehicles, which comprises a shell framework and a skin arranged outside the shell framework, the skin is made of composite radar stealth material, the shell framework is made of resin material, the composite radar stealth material comprises two photonic crystal thin films and a nano zinc oxide material coating, and the satellite shell part has a goose egg-shaped appearance. The satellite shell part with low radar echo scattering adopts the above structure, the goose egg-shaped appearance design can make the radar echo reflection angle larger, so that the radar echo detection is less, and the stealth effect is remarkable; through the combination of the composite radar stealth material coating and the goose egg-shaped shell, excellent radar echo weakening effect under the comprehensive action can be realized, and the radar stealth effect covering X wave band and below can be further realized.

The invention provides an ultrasonic distance measuring method, a chip, an ultrasonic distance measuring device and electronic equipment. The ultrasonic ranging method comprises the following steps: driving an ultrasonic transducer to transmit an ultrasonic signal; acquiring an analog input signal determined by superposition of the echo signal and the aftershock signal received by the ultrasonic transducer; in the process of carrying out echo detection on the analog input signal, carrying out at least one analog gain switching on a first analog gain for carrying out analog amplification processing on the analog input signal at present so as to continue to carry out analog amplification processing on the analog input signal; and carrying out analog-to-digital conversion on the analog input signal after analog amplification processing to obtain a digital input signal, and carrying out distance measurement according to the obtained digital input signal. According to the ultrasonic distance measurement method, the dynamic range of the signal chain of ultrasonic distance measurement is enlarged, and the near-field blind area of ultrasonic distance measurement caused by aftershock attenuation of the ultrasonic transducer is avoided.

Embodiments of the present application provide an echo signal detection method, a chip and an apparatus of an ultrasonic sensor. The method comprises periodically reading a first point signal and a second point signal of an echo signal according to a preset reading frequency, the first point signal serving as a reference signal and the second point signal serving as a comparison signal; determining whether the reference signal and the comparison signal are target signals based on amplitude information of the reference signal and the comparison signal; when the reference signal and the comparison signal are the target signals, updating the preset reading frequency to a first frequency and updating a quantity of the target signals; when the reference signal and the comparison signal are not the target signals, updating the preset reading frequency to a second frequency and restoring or maintaining the quantity of the target signals to an initial value; the first frequency is not less than the second frequency; and determining whether a target echo signal appears based on whether the quantity of the target signals is greater than a preset value. The efficiency of echo detection is improved.

The present invention discloses an optical fiber ultrasonic detection device, comprising an optical signal generating component, a transmitting optical fiber, and a plurality of photoacoustic transducer transmitters connected in sequence, an echo detection component, a transmitting optical fiber, and a plurality of photoacoustic transducer receivers connected in sequence; a front-end substrate; the transmitting ports of each photoacoustic transducer transmitter and the receiving ports of each photoacoustic transducer receiver are distributed on the same surface of the front-end substrate; the optical signal generating component comprises a laser generating device and a phased array unit for generating an excitation light signal; the phased array unit is used to control the laser generating device to transmit the excitation light signal to each photoacoustic transducer transmitter according to a set rule. The present application sets a plurality of photoacoustic transducer transmitters and photoacoustic transducer receivers on the front-end substrate, and the front-end substrate can be attached to the surface of human tissue to achieve non-invasive detection of human tissue; improves the accuracy and reliability of the ultrasonic detection structure, and reduces the operational difficulty of ultrasonic detection, which is conducive to the widespread application of ultrasonic detection.

The invention provides a laser radar target echo generation device, and relates to the technical field of laser radar target characteristic digital simulation and high repetition frequency narrow pulse laser echo regeneration. According to the device, through a laser radar body target echo simulation system, a body target simulation model matched with a body target is screened out from a typical target model library; performing multi-channel optical characteristic simulation on the body target by using the laser radar, and generating body target echo simulation data of the laser radar on the typical target under different rendezvous conditions; the laser radar body target echo generation module is used for carrying out pulse echo detection of which the half bandwidth is in a nanosecond level according to the body target echo simulation data; a pulse current signal is converted into an electric pulse signal in an undistorted manner, the electric pulse signal is converted into an optical pulse signal in an undistorted manner, and the optical pulse power in a single pulse is modulated in real time. The problems that the target echo generated by the existing laser radar point target echo generation device is simple in characteristic and the real characteristic of the echo is difficult to simulate are solved.

The application provides a method and system for visual monitoring of emergency conference system equipment operation, audio signals at multiple positions in a target conference room are collected; a mixed signal formed by the audio signals is retrieved, the mixed signal is separated into multiple audio channels to form a matrix; a buffer area is set for each audio channel; the order of audio data input and output is controlled, left and right channel audio data of each channel is stored in a corresponding slave buffer area, and the slave buffer area is recalled to a master buffer area; volume size analysis, echo detection, howling detection and bottom noise detection are performed on audio data of the master buffer area; and audio quality abnormal conditions are recorded and displayed. The application realizes detection of the running state of an audio processor and a public address system, facilitates monitoring of the running state of equipment by operation and maintenance personnel, and improves operation and maintenance efficiency.

The application provides an obstacle detection method, a vehicle-mounted device and a vehicle. The method comprises the following steps: controlling a vehicle-mounted radar to alternately perform a first type of detection and a second type of detection in a time division multiplexing manner, wherein the first type of detection and the second type of detection are respectively used for detecting the height of an obstacle around the vehicle, and the height of the obstacle comprises a positive value and a negative value; when the second type of detection is performed, switching the working parameter of the vehicle-mounted radar from a first parameter set used in the first type of detection to a second parameter set optimized for a ground echo, and performing ground echo detection by using the second parameter set; and judging whether the height of the obstacle around the vehicle is a negative value according to a received echo signal of the second type of detection, and outputting a detection result. The method provided by the application provides more comprehensive environmental perception capability for automatic parking and low-speed driving of the vehicle.

The present application relates to the technical field of underwater acoustic signal processing, and particularly relates to a method for detecting underwater target echo in a strong reverberation background, comprising the following steps: performing band-pass filtering on received sonar echo signals to obtain filtered signals; performing sliding window segmentation on the filtered signals to form a plurality of short-time signal segments; extracting the envelope of the short-time signal segments and performing normalization processing on the envelope; performing differential processing on the normalized envelope to obtain a differential envelope signal; performing frequency spectrum transformation and frequency weighting processing on the differential envelope signal to obtain a weighted envelope spectrum; performing feature extraction on the weighted envelope spectrum, calculating the spectral entropy and spectral variance, and constructing a spectral variance-entropy ratio; and determining whether a target echo exists. The method can reduce the false alarm rate while maintaining a high detection probability, and avoids the performance degradation of existing matched filtering methods in a strong reverberation condition.

A laser radar, a control method thereof, and an addressing circuit. The control method of the laser radar includes: obtaining the starting detection unit group address corresponding to the activated transmitting unit group in the laser radar, generating a corresponding detection control signal, wherein the starting detection unit group address is determined based on the calibration processing result; decoding and performing logical operation on the detection control signal to determine the address of the corresponding calibrated starting detection unit group, as well as the addresses of other detection unit groups that need to be activated synchronously with the starting detection unit group, obtaining a gating address, and generating a corresponding gating control signal; based on the gating control signal, activating the corresponding detection unit group to convert the echo light beam into a photoelectric signal. The above scheme improves the echo detection accuracy of the laser radar and effectively ensures data integrity.

The application discloses a kind of slope displacement monitoring method, equipment and medium based on quantum single photon, belong to displacement monitoring technical field.The application is by emitting rectangular light pulse according to cycle, utilizes single-photon detector to complete echo detection and constructs photon counting time sequence, carries out wavelet denoising and reconstruction processing to it, extracts main peak position shift, energy change and form distortion matches multi-class feature vector, then carries out feature fusion and solution by multi-source feature fusion BP neural network, finally outputs high-precision slope displacement result.The application combines quantum single-photon detection technology with wavelet denoising, neural network fusion algorithm, effectively suppresses noise interference, improves displacement feature extraction accuracy, and is suitable for high-precision, long-distance real-time monitoring of slope micro-deformation.

The invention discloses a sensor chip, sensing equipment, an echo detection method and electronic equipment. The sensor chip includes: a detection module configured to detect an echo signal and including a first detection circuit and a second detection circuit configured to provide a first detection channel for a wave group in a first mode and a second detection channel for a wave group in a second mode, respectively; a processing module configured to determine a first signal source emitting a first wave group and a second wave group in response to the first detection circuit detecting the first wave group of the first mode from the echo signal at a first time and the second detection circuit detecting the second wave group of the second mode from the echo signal at a second time, the first time and the second time are spaced by a first time period. According to the detection chip, time dimension information is introduced in echo signal detection, reliable positioning of an information source is facilitated, and simultaneous emission of wave groups in multiple modes is facilitated, so that the positioning efficiency is improved.

The application discloses a simulation processing method and device of a radar signal and electronic equipment. The method comprises the following steps: obtaining a radar echo signal generated by field programmable gate array in signal transceiving characteristic simulation of a radar signal; performing signal pulse compression processing on the radar echo signal to obtain a pulse modulation signal; performing multi-pulse cancellation and moving target detection processing on the pulse modulation signal to obtain a pulse matrix; performing constant false alarm rate detection on the pulse matrix in a thread synchronization mode to obtain an echo detection result; in the case that the echo detection result indicates that a radar detection target is detected, acquiring distance, speed and angle data of the radar detection target; and sending the distance, speed and angle data of the radar detection target to a central processor, so that the central processor determines track information of the radar detection target according to the distance, speed and angle data. The scheme provided in the application embodiment can improve the real-time performance of radar seeker simulation.

The invention discloses a radar waveform design method based on extended target scattering characteristics, and relates to the technical field of radar target detection. Through the steps of receiving echoes, detecting a scattering center and directionally designing a waveform, non-iterative modes such as matched filtering and peak searching are firstly utilized; time delay inequality and scattering intensity of each scattering center of an extended target are accurately extracted from actually measured echoes, frequency domain prior information does not need to be preset, and then transmitted waveforms are designed based on the actually measured parameters, so that energy is actively focused on a main scattering area of the target; according to the method, dependence on complex prior information is avoided, an iterative calculation link is also avoided, the waveform is highly matched with the discrete scattering structure of the extended target, and the energy utilization rate and the effective information proportion of the target in the echo signal are greatly improved while the real-time performance is guaranteed.

The invention discloses a self-echo cancellation method and system for a hearing aid, and the method comprises the following steps: transmitting a section of echo simulation audio through an echo detection module, converting all received audio signals into sound wave signals through a playing module, playing the sound wave signals, receiving the echo simulation audio through a receiving module, and transmitting the sound wave signals to a processing module. According to the method, the echo calculation module is used for calculating the fluctuation ratio of the received echo audio and the echo simulation audio, and the echo elimination module is used for recording the audio subjected to noise reduction processing. A group of analog signals identical to the audio signals are made according to the record, the ratio of the analog signals to the original audio is set according to the fluctuation ratio of the echo audio and the echo analog audio, then the analog signals are compared with the audio signals received by the rear end, and then the echo signals in the audio signals are eliminated. According to the method, the echo generated by the hearing aid can be accurately eliminated.

This invention relates to the field of laser detection and navigation positioning technology, and discloses a real-time noise reduction and in-situ calibration system and method for laser ranging sensors. The system includes an acquisition module, an extraction unit, a mapping unit, a control unit, and a compensation unit. The system extracts the zero-position calibration pulse generated by reflection within the optical window, calculates the waveform asymmetry parameter to construct a timing compensation operator for the receiving link, and the control unit adjusts the measurement echo detection threshold according to the pulse energy distribution parameter. The compensation unit uses the operator to correct the target echo phase centroid and uses the real-time phase center of the pulse as the timing start anchor point. This invention converts the ranging reference from static setting to dynamic physical reconstruction, and synchronously eliminates clock temperature drift and circuit delay deviation caused by ambient temperature rise during the ranging cycle, thereby eliminating the cumulative error caused by spatiotemporal reference drift in long-distance navigation.