126 results about "Probe signal" patented technology

This invention discloses a distributed, off-site measurement module and its implementation method for a coordinate measuring machine (CMM) based on the gLink-II bus, relating to the field of measurement technology. The invention includes: a master station control unit, deployed within the industrial computer of the CMM, serving as the core control node for generating synchronous control commands, configuring operating parameters, parsing and processing grating ruler / encoder data, and interacting with the host computer via a PCIe interface; and a measurement module, deployed on the bed of the CMM's X, Y, Z, and C rotary axes, for acquiring corresponding axis encoder signals, grating ruler signals, GPIO signals, probe signals, and handheld device signals locally, and completing signal preprocessing and data framing. Through a collaborative working mechanism of distributed acquisition, bus synchronization, redundant transmission, and algorithm compensation, this invention achieves localized acquisition, synchronous transmission, and high-precision calibration of four-axis grating ruler / encoder data for the CMM.

The application discloses a kind of distributed array high-precision time synchronization method based on compressed sensing (CS) and secondary least square (QLS), belong to wireless communication and radar signal processing technical field.For under the restriction hardware bandwidth and strong multipath environment, traditional cross-correlation method is limited by Rayleigh resolution and sampling grid, there is the problem of serious peak aliasing, insufficient synchronization accuracy, the application proposes CS-QLS joint decoupling strategy.The method constructs frequency domain observation matrix and high-density time delay over-complete dictionary by transmitting sparse multi-tone probe signal, reconstructs sparse channel impulse response using CS, separates multipath aliasing and determines direct wave coarse synchronization boundary;Further combined with main path and adjacent grid point amplitude information, QLS is used to fit continuous domain peak position, and grid mismatch error is corrected.The method breaks through the limitation of physical bandwidth and sampling grid, and realizes nanosecond-level high-precision time synchronization in complex non-line-of-sight environment with very low computational complexity.

The application provides a cable aging online monitoring method and device based on a spread spectrum time domain reflection method, which comprises the following steps: establishing a frequency-variable distribution parameter model based on the physical structure of a cable, performing background noise spectrum scanning on the cable to identify a spectrum hole, and taking the spectrum hole as a working frequency band of a detection signal; generating a detection signal matched with the working frequency band, and injecting the detection signal into a live cable; collecting echo signals of the cable, performing adaptive signal decomposition on the echo signals to obtain purified echoes, performing cross-correlation operation on the purified echoes and the detection signal, and extracting reflection response features; performing phase dispersion compensation on the reflection response features to obtain dispersion-corrected reflection responses; extracting multi-dimensional feature vectors of the dispersion-corrected reflection responses, inputting the multi-dimensional feature vectors into a physical information neural network, and inversely obtaining insulation aging quantitative indexes and cable aging grades of each position of the cable.

The application discloses a sleep apnea detection method based on a millimeter wave radar, and relates to the technical fields of radar signal processing and vital sign detection.The method comprises the following steps: transmitting a detection signal to a target through a millimeter wave radar to obtain an intermediate frequency signal and a signal transformation matrix; calculating a dynamic energy change value based on the preprocessed signal transformation matrix, and determining a target distance bin of each frame according to a statistical result of the dynamic energy change value; determining whether the target is in a position stable state according to the discrete degree of the target distance bin of each frame in a preset time window; extracting a phase signal at the target distance bin of each frame in the window in the position stable state, obtaining a breathing signal waveform curve based on the phase signal, and detecting a sleep apnea event.The application can realize high-precision detection of the sleep apnea event under various complex conditions, and effectively solves the problems of unstable target locking, large noise interference and lack of distance adaptability in state determination.

This invention provides a power line carrier intelligent distribution network method, device, and handheld terminal. The distribution network method includes the following processes: S1, network discovery to obtain a list of all node IDs; S2, synchronous broadcast phase, the master control node polls and broadcasts; S3, node execution process: when acting as a broadcast source, it sends a probe signal; when acting as a listener, it records the signal quality to a local list; S4, distributed voting, where each node autonomously selects the node with the best signal as the cluster head; S5, cluster head reporting, where all nodes report the selected cluster head ID to the master control; S6, global decision, where the master control counts all reported cluster head IDs and announces the node with the most votes as the final gateway. This invention utilizes the existing power line network as a data transmission carrier, automatically senses the line environment, and adaptively forms a network. Simultaneously, through point-to-point NFC interaction between the handheld terminal and the device, it achieves zero-configuration, accurate, and reliable parameter writing and identity authentication.

This invention relates to the field of geological hazard analysis technology, and particularly to a geological hazard early warning method based on active detection and spectral response variation. The method includes: deploying active signal excitation devices and signal receiving sensors in the monitoring area to apply active detection signals to the geological body and collect response signals; filtering and adaptive time window segmentation of the response signals to obtain stable-period spectral data; establishing a benchmark spectral model through Fourier transform and phase spectrum analysis; periodically transmitting active signals and collecting real-time responses, calculating real-time spectral characteristic parameters, and comparing them with the benchmark spectral model to obtain spectral variability; determining an early warning threshold using a decision tree model based on historical monitoring data; and calculating the geological hazard risk level and outputting early warning information when the real-time spectral variability exceeds the threshold, combined with environmental variables.

This invention discloses a parallel demodulation and intelligent imaging system based on a reconfigurable fiber optic ultrasonic detection array, belonging to the field of ultrasonic / photoacoustic detection and imaging technology. A splicing and clamping type of flexibly reconfigurable fiber optic ultrasonic detection array structure is designed, using detachable slots and assembly fixtures for assembly, supporting dynamic splicing and reconfiguration of the array as needed to adapt to diverse detection environments. A wavelength division multiplexing (WDM) to time division multiplexing (TDM) high-capacity, streamlined parallel demodulation system is developed, forming a path-sharing delay system through the coordinated configuration of delay and beam combining, distinguishing multi-channel detection signals in the time domain, while maintaining small size and low cost. A sound velocity inversion-based highly intelligent calibration ultrasonic imaging algorithm is constructed, integrating a deep learning model to adaptively correct sound velocity distortion in non-uniform media, achieving high-quality imaging. This invention achieves flexible layout, streamlined link, and high-fidelity fiber optic array-based ultrasonic / photoacoustic imaging through synergistic optimization of front-end detection, mid-end demodulation, and back-end imaging.

The utility model relates to a kind of detector components, including detector, diaphragm and adjusting mechanism.Detector is used to detect signal electron beam, diaphragm is located in the side of detector receiving signal electron beam, the center is provided with through-hole, adjusting mechanism can adjust the area of through-hole and / or the distance between diaphragm and detector.In addition, the utility model also discloses an electron-optical system, including electron beam source, beam separator and detector component.Electron beam source emits main electron beam to sample along main optical axis, and generates signal electron beam on sample surface;Beam separator is coaxially arranged with main optical axis, located between electron beam source and sample, for deflecting signal electron beam.Through adjusting the area of diaphragm through-hole and the distance between diaphragm and detector, the signal electron beam detection of different diffusion angle can be realized, meet the accurate detection demand of different aspect ratio characteristics, applicable to the characterization of complex topography sample.

Embodiments of the present specification provide a health monitoring method, device and system. The method comprises: transmitting a detection signal to a chest position of a target user through a radar, and receiving a reflected echo signal of the detection signal reflected by the chest position through the radar; performing health monitoring on the target user based on the detection signal and the echo signal to obtain health monitoring data; determining target phase change information of the echo signal compared with the detection signal in at least part of the period during the health monitoring, and performing user identification based on the target phase change information to determine a user identifier of the target user, and then associating and outputting the user identifier of the target user with the health monitoring data. The above scheme can continuously identify the user identity and associate and output the health monitoring data, thereby improving the efficiency and reliability of health monitoring.

This invention relates to the field of nonlinear node detection technology, and particularly to a nonlinear electronic node concealment detection system based on S-band harmonic fingerprinting. The system includes: acquiring fundamental and second harmonic echo signals from multiple detection nodes within the detection area in the S-band to ensure a sufficient data source for the entire detection process; constructing harmonic excitation response features and generating a fingerprint database to improve the accuracy and targeting of subsequent node identification; dynamically capturing the node's current characteristic information by transmitting S-band frequency sweep detection signals and collecting echo harmonic components to extract real-time fingerprints, enhancing the timeliness of node detection; identifying matching concealed electronic nodes by performing multi-dimensional time-series correlation matching between real-time harmonic fingerprints and fingerprints in the fingerprint database, effectively filtering out irrelevant interference; and generating a topology map and marking abnormal nodes, enabling users to quickly grasp the overall situation and rapidly locate anomalies.

The application relates to a kind of distributed ultrasonic wind field detection methods based on multi-unmanned aerial vehicle cooperation, belong to low-altitude meteorological detection field, method includes: multi-source high-precision space-time datum acquisition;Each unmanned aerial vehicle node is launched by its ultrasonic transducer array and executes the composite modulation emission and echo demodulation of detection signal to obtain accurate sound wave round trip propagation time;Link length is weighted and fused calibration, and the spatial direction vector under non-orthogonal topology is reconstructed;Kinematics projection elimination and rotor flow field distortion compensation are carried out to extract pure aerodynamic wind field information;By constructing non-orthogonal observation matrix, the horizontal wind field component of the to-be-measured meteorological airspace is solved;Original solving vector is subjected to time domain filtering processing, and stable wind direction and wind speed information is output.The application eliminates the influence of carrier motion and mechanical vibration on acoustic measurement and adapts flexible detection topology, so that high-precision, multi-point correlation real-time stable monitoring of low-altitude area wind field is realized.

The present disclosure provides a kind of living target detection method, device and electronic equipment, applied to electronic equipment, electronic equipment is equipped with radar module, method includes: control radar module to emit detection signal with set time interval;For any one of the M sampling points, obtain the first measurement value of the reflection echo of the sampling point to the detection signal collected by the radar module in the first time period, obtain the k first measurement values corresponding to the sampling point;According to the k first measurement values of the sampling point, determine the second measurement value of the sampling point at the current time, obtain the second measurement value corresponding to the M sampling points at the current time respectively;In the case where k is greater than or equal to the first quantity threshold, whether there is a target point in the M sampling points is determined according to the second measurement value corresponding to the M sampling points at the current time respectively;In the case where there is a target point in the M sampling points, whether there is a living target in the electronic equipment is determined according to the target point in the M sampling points.

The application provides a signal source progressive search and positioning method and device based on an unmanned vehicle, relates to the field of unmanned vehicle autonomous navigation and signal source positioning, and gradually updates a counting rate data to accurately detect a source signal by filtering a collected counting rate through a sliding sampling window, updating a sampling window in real time through a FIFO principle to obtain an updated source signal strength value, preparing for calculating an optimal source search path; a global planner comprehensively evaluates a global path, a local planner plans an optimal path, and a target point is searched by the unmanned vehicle; after the target point is searched by the unmanned vehicle, a signal source detection limit value is set, a counting rate filtered after rotation is cyclically obtained, and then the signal source is positioned; the application gradually and in real time avoids obstacles and dynamically adjusts a search path, a path planning and path optimization closed-loop control process is formed through a termination judgment rule of a detection signal source limit value, and the autonomy and efficiency of the unmanned vehicle source positioning are improved.

The application discloses a system for controlling one PH instrument by two PH probes, belongs to the technical field of ph detection, and comprises a first PH probe and a second PH probe which are consistent in performance, and are connected with a signal switching module; the signal switching module has two working modes of time-sharing switching and synchronous acquisition; in the time-sharing switching mode, the module alternately connects the signal channels of the two PH probes at fixed time intervals (0.1-10 seconds adjustable), and sequentially transmits the two-way probe signals to a pretreatment module; in the synchronous acquisition mode, the two-way probe signals are superposed through a signal superposition technology and are synchronously transmitted to the pretreatment module, so that the signal complementation is realized; and the signal switching module is connected with a microprocessor; and the application can effectively improve the PH detection precision.

This invention provides a method and system for synchronously measuring picometer-level displacement and micro-radian tilt angle. The system splits the beam to form an f0 transmitted beam and an f0 reflected beam. The f0 transmitted beam is modulated and filtered to obtain a laser beam of f0+Δf. The reflected beam is reflected, modulated, and filtered to form a laser beam of f0-Δf. The f0+Δf laser beam is the first beam, which is split into an f0+Δf transmitted beam and an f0-Δf reflected beam after projection and reflection by a beam splitter. The f0-Δf laser beam is the second beam, which is split into an f0-Δf transmitted beam and an f0-Δf reflected beam after projection and reflection by a beam splitter. The f0-Δf transmitted beam is reflected, forming a first interference beam with the f0+Δf reflected beam at the beam splitter. The f0+Δf transmitted beam is reflected by a mirror that moves with the object being measured, forming a second interference beam with the f0-Δf reflected beam at the beam splitter, serving as the measurement light source. The synchronous measurement of displacement and micro-radian tilt angle is obtained by computer calculation of the two detection signals. The present invention provides a method and system for synchronous measurement of picometer-level displacement and micro-radian tilt angle, which realizes the measurement of displacement and micro-radian and improves the measurement accuracy.

This invention relates to the field of electronic connectors and circuit protection technology, and discloses a protection method to prevent poor contact caused by metal electrolysis in spring probe connectors. The method includes a main control chip that sends a microsecond-level detection signal to the connector for monitoring. The signal pulse width is less than the electrochemical polarization establishment time threshold, and charge discharge is used to suppress the electrolytic reaction. After detecting liquid conduction, the graphene heating module is controlled to operate at a constant temperature, and the physical drying time is determined using the dynamic voltage division principle of thermal impedance. Heating is then maintained for a preset time to remove microscopic residual moisture. Finally, a cold-state insulation re-inspection is performed. After the connector naturally cools to ambient temperature, the insulation impedance is tested again, and power is restored only when the cold-state impedance meets the recovery standard. This invention avoids electrolytic corrosion caused by the monitoring process and effectively eliminates misjudgments caused by high-temperature false drying and salt moisture return, ensuring the electrical safety of the connector after recovery.

The application discloses a two-stage modulation-based underwater polarization ghost imaging method and device, and relates to the fields of optical imaging and ocean detection. The method comprises the following steps: acquiring basic data of a target water area and constructing a backscattering point spread function; performing statistical decorrelation modulation on an original reference speckle sequence based on a first correlation coefficient, a second correlation coefficient and the backscattering point spread function, to obtain a primary modulation reference speckle distribution sequence; performing polarization space modulation on the primary modulation speckle sequence, to obtain a secondary modulation reference speckle distribution sequence; irradiating a target to be detected according to the secondary modulation reference speckle distribution sequence, acquiring a double-polarization bucket detection signal, and constructing a polarization difference signal sequence; and performing correlation reconstruction on the polarization difference signal sequence and the secondary modulation reference speckle distribution sequence, to obtain a reconstructed image. The application solves the problems of serious backscattering interference and insufficient imaging signal-to-noise ratio in a strong turbid underwater environment, and realizes high-quality underwater polarization ghost imaging.

This invention provides an intelligent wireless alignment method and system, relating to the fields of industrial wireless communication and automated guided vehicle (AGV) collaborative control technology. The method includes the following steps: scanning candidate frequency points in the target frequency band and sending probe signals to collect network quality parameters for each AGV; constructing an evaluation model based on the parameters, calculating the communication quality sub-evaluation value of each frequency point for each vehicle, forming an evaluation set; aggregating and analyzing the sub-evaluation values ​​of each frequency point, screening qualified frequency points, and selecting a target operating frequency point; sending verification packets through the target frequency point for independent communication verification; if the verification passes, it is set as the target channel; if it fails, the worst-performing vehicle is located based on the evaluation set, and the optimal frequency point is reselected for it from the qualified frequency points, returning to verification until success. This invention achieves adaptive closed-loop optimization of the channel, improving the stability and reliability of AGV communication in complex industrial environments.

The application discloses a power distribution network fault positioning method based on inter-harmonic injection, and relates to the technical field of power system distribution network relay protection. When an asymmetric grounding fault occurs in a power distribution network, signal injection devices arranged on each feeder inject inter-harmonic signals with different harmonic frequencies into the power distribution network at the same time, a multi-source detection signal network with spatial distribution and different frequencies is formed, a significant energy gathering effect is formed at a fault point, the excellent time-frequency analysis capability of S transform on non-stationary signals is utilized, S transform energy of three-phase first ends of each feeder under each inter-harmonic signal is directly extracted for fault positioning. The method enhances fault characteristics through multi-source and multi-frequency inter-harmonic injection, and in combination with the time-frequency resolution and characteristic extraction capability of S transform, the method can realize grounding fault detection in different penetration rate scenes in an active power distribution network, realize fast fault positioning, and improve the protection sensitivity and fault positioning efficiency of the active power distribution network.

This application provides a frequency-modulated continuous wave (FM-CW) lidar calibration method and a FM-CW lidar system. The method includes: when calibrating a scanning device for an FM-CW lidar, controlling the scanning device to point towards a preset fiber optic monitoring link; transmitting a detection signal to the fiber optic monitoring link through the scanning device, and determining the actual detection distance corresponding to the fiber optic monitoring link based on the echo signal from the fiber optic monitoring link; and calibrating specified device parameters of the scanning device based on the actual detection distance and the preset detection distance corresponding to the fiber optic monitoring link to obtain the calibrated specified device parameters. This application solves the problems of high structural complexity and high cost of FM-CW lidar calibration methods in related technologies, thereby achieving the technical effect of reducing the structural complexity and cost of lidar.

The utility model discloses a safe type storage tank for methyl acetate production, including charging end, the middle part fixed connection baffle of charging end, is equipped with a groove body respectively at the both sides of baffle, and groove body slidingly connects in charging end, and the top surface of charging end is embedded and sets up the pump body, and the input fixed connection of pump body divides the shunt pipe, and the two input fixed connection of shunt pipe divides the solenoid control valve, and the end of solenoid control valve is connected with the connecting pipe, and the end fixed connection of connecting pipe stores the jar body, and the sealing element is equipped in connecting pipe, and the jar body elevating connection is in groove body, and the top wall fixed connection probe of charging end. The utility model discloses through setting up probe in the top wall of charging end, can real -time monitoring the gas leakage condition at jar body and connecting pipe place, and probe signal linkage solenoid control valve, and the solenoid control valve of automatic closing leakage storage tank corresponds, and the material passageway is cut off simultaneously, and the cylinder drives support platform to drop, makes jar body and connecting pipe separate.

This invention relates to the field of communication technology, providing a module and method for burst optical reception detection and indication. The module includes a voltage divider circuit, a comparison and selection circuit, and a D flip-flop. The voltage divider circuit generates a detection signal based on the burst received optical signal. The detection signal is input to the first input of the comparison and selection circuit, and a RESET signal is input to the second input of the comparison and selection circuit. When the RESET signal is low and the detection voltage is higher than a decision threshold level, the detection signal is output; otherwise, a low level is output. The input of the comparison and selection circuit is connected to the clock input of the D flip-flop to trigger the RxSD signal. The RESET signal also flips and is input to the reset input of the D flip-flop, so that when the RESET signal is high, the RESET signal controls the D flip-flop to reset, causing the output RxSD signal to be low. This invention can meet the timing requirements for the normal operation of both protection time and preamble time RESET signals, ensuring normal ONU registration and normal service operation.

This application discloses an intelligent identification and calibration method for contamination of infrared flame detectors in tunnel environments, relating to the field of intelligent control identification. It addresses the technical problems of existing technologies, such as the inability to identify the type and spatial distribution of optical window contamination, the reliance on a single calibration strategy, and the difficulty in maintaining a stable alarm distance in complex tunnel environments. The method includes: acquiring data within the current detection cycle; calculating the transmittance deviation between the transmittance characterization value and a pre-calibrated reference transmittance characterization value; acquiring spatial response deviation information; acquiring at least one type of tunnel operating condition information within the tunnel environment; determining the contamination mode of the optical window based on the transmittance deviation, spatial response deviation information, and tunnel operating condition information; selecting a calibration strategy matching the contamination mode of the optical window from a set of preset calibration strategies based on the contamination mode of the optical window; and using the selected calibration strategy to perform sensitivity compensation calibration on the infrared flame detection signal.

The present invention introduces a sonobuoy capable of changing its detection position and a control method thereof, which detects underwater targets using acoustic signals and adjusts the detection range by changing the detection position during operation, thereby enabling accurate detection of a desired detection range by moving the detection sensor to a depth band where the detection signal is easily received.

An apparatus comprising an interface and a processor. The interface may be configured to present a probe signal and receive raw radar data generated in response to a reflection of the probe signal. The processor may be configured to generate a plurality of profile configurations, interleave the plurality of profile configurations into the probe signal, and reconstruct a radar output based on the plurality of profile configurations in response to the raw radar data. Interleaving the profile configurations into the probe signal may enable the raw radar data to be received comprising information about an environment corresponding to each of the profile configurations at one time frame. Interleaving the profile configurations may enable the processor to extract the information about the environment corresponding to each of the profile configurations independent from each other. The radar output may comprise the information about the environment.

The application provides a ranging system and a ranging method. The ranging system comprises: a frequency-modulated continuous wave radar arranged on a trolley, used for transmitting a detection signal when the trolley is in a running process, and receiving at least a return signal emitted from an active radar tag; and at least one active radar tag arranged at a target position, used for receiving the detection signal, modulating the detection signal, generating and transmitting a response signal with a preset frequency offset; wherein the target position is arranged along the running direction of the trolley; wherein the frequency-modulated continuous wave radar is used for determining effective return signals by detecting the frequency modulation characteristics of the response signal, and determining distance information and / or speed information between the target position and the trolley according to beat signals between the return signals and the detection signals. By using the above technical scheme, the target recognition accuracy can be improved, and the implementation cost can be reduced.

This invention relates to the field of wafer testing, and more specifically, to a wafer-level modular probe card. The wafer-level modular probe card provided by this invention includes at least multiple probe head modules, a probe head fixing plate, a PCB motherboard module, a height-matching module, and multiple ceramic substrates. The probe head modules are modular and replaceable, mounted on the upper part of the probe head fixing plate, and are used to contact the wafer under test and transmit test signals. The ceramic substrates are mounted on the lower part of the probe head fixing plate and are electrically connected to each probe head module for probe signal transmission. The probe head fixing plate supports and positions the multiple probe head modules. The height-matching module provides a Z-axis mounting reference surface for the probe head fixing plate. The PCB motherboard module is electrically connected to the ceramic substrates. This invention, through the modular arrangement design of the probe head modules, significantly reduces the number of test steps (TDs) and improves the overall efficiency of wafer testing.

An ultrasonic diagnostic system comprises an ultrasonic probe that transmits ultrasonic waves to a subject and generates a probe signal on the basis of reflected waves from the subject, and a first ultrasonic diagnostic device connected to the ultrasonic probe, wherein the first ultrasonic diagnostic device comprises: an ultrasonic image generation unit that generates an ultrasonic image on the basis of the probe signal received from the ultrasonic probe; a first storage unit that stores a plurality of trained models used for diagnostic processing for diagnosing the subject; and a first diagnostic processing unit that reads out, from the first storage unit, a trained model corresponding to a scan target site of the subject that is scanned by the ultrasonic probe, and executes diagnostic processing based on the ultrasonic image using the read-out trained model.