7124 results about "Detector" patented technology

The invention relates to a calibration method of an ultrasonic flaw detector calibrating device, which comprises the following steps of: acquiring and transmitting ultrasonic waves of which the frequency is matched with the theoretical frequency of a material to be detected, acquiring and dynamically correcting the actual propagation path of the ultrasonic waves in real time, generating a calibration parameter of a frequency-delay compensation coefficient, and compensating the transmitted ultrasonic waves based on the calibration parameter. After the compensated ultrasonic waves enter a to-be-detected material, time-base line signals are collected and input into the trained deviation calculation model to calculate time axis scale deviation, time-base line linearity is adjusted based on the time axis scale deviation, stepped ultrasonic attenuation signals are generated, echo signal amplitude values of the flaw detector are collected, and the amplitude values of the echo signals of the flaw detector are calculated. And comparing the echo signal amplitude value with a preset amplitude threshold value to obtain a dynamic difference value of the two, and adjusting the attenuation amount in real time based on the dynamic difference value. The problems of insufficient calibration efficiency and consistency, poor dynamic parameter adaptability, limited sensitivity calibration precision and complex working condition simulation capability in the prior art are solved.

The invention discloses an online multi-channel rapid gas chromatographic analysis system and method, particularly relates to the technical field of gas chromatographic analysis, and is used for solving the problems of baseline noise rise and trace component detection precision reduction caused by physical coupling and signal interference when multiple detectors work in parallel in the prior art. Interference signal features of adjacent detection channels are extracted, a chaotic or linear compensation signal is dynamically generated in combination with harmonic primary and secondary sorting and recursive quantization factor analysis, and common-mode interference of a target channel is suppressed. Electromagnetic isolation parameters of a shielding structure are adjusted in real time based on the baseline signal after noise suppression, and accurate matching of impedance and interference spectrum is achieved; further separating time domain overlapped signals and analyzing asymmetric distortion characteristics, and eliminating system errors through normalization calibration; dynamic interference suppression, electromagnetic shielding optimization and signal distortion traceability are combined, the anti-interference capability and analysis precision of multi-channel detection are remarkably improved, and the method is suitable for high-throughput rapid detection scenes of complex samples.

Systems and methods describe providing deep learning-based detection of gravitational waves. In one embodiment, the system: trains a deep learning classifier using a first set of waveform data from GW detectors; applies the trained deep learning classifier to a second set of waveform data to identify candidate GW signals; generates an SNR ranking statistic from the output of the trained deep learning classifier; determines SNR rankings of the candidate GW signals using the generated SNR ranking statistic; evaluates the compatibility between candidate GW signals from different detectors by comparing arrival times and parameters of the candidate GW signals; estimates a plurality of detection significance scores associated with the candidate GW signals by analyzing clusters of identified candidate GW signals that pass or fail the compatibility evaluation; and outputs at least a subset of the identified GW signals based on their SNR rankings and detection significance scores.

The invention discloses a grounding loop resistance detection and fault location method and system fused with edge calculation, and relates to the technical field of grounding detection, and the method comprises the steps: carrying out the key node analysis of a grounding loop, deploying an edge calculation unit, configuring a mapped monitoring sensor, and carrying out the fault location of the grounding loop; comprising a high-frequency transient traveling wave detector, a broadband impedance spectroscopy measurement sensor and a synchronous clock unit, during the normal operation period of a power grid device, a monitoring sensor is used for monitoring, time synchronization alignment of a monitoring data set is carried out, a continuous situation field of a grounding loop is reconstructed through interpolation of an edge calculation unit, and the continuous situation field is constructed based on three-dimensional fault features; and monitoring the power grid device in real time by using a monitoring sensor, executing fault source inversion based on a real-time monitoring result and a continuous situation field in combination with local height gradient features and extreme region features, and establishing a fault positioning result. Therefore, the technical effects of reducing response delay, optimizing load distribution and improving fault positioning precision are achieved.

An apparatus for correcting an error of a clock signal may include a phase adjuster that corrects an error of half-rate clock signals based on an error correction signal to output an error-corrected clock signal, a phase splitter that outputs quadrature clock signals from the error-corrected clock signal, an error detector that outputs an internal clock signal based on one of the quadrature clock signals, selects two quadrature clock signals among the quadrature clock signals based on a clock selection signal, and detects errors of the two quadrature clock signals based on an error check signal to output a correction request signal, and a controller that outputs a mode selection signal and the clock selection signal based on the internal clock signal and that outputs the error correction signal and the error check signal based on the mode selection signal, the clock selection signal, and the correction request signal.

The invention discloses a defect identification system of an ultrasonic flaw detector, and relates to the technical field of nondestructive testing, the system comprises a signal acquisition and preprocessing module, a defect feature identification module, a physical modeling analysis module, a life prediction and evaluation module and an intelligent decision visualization module; the signal acquisition and preprocessing module adopts a multi-frequency-point phased array transducer array, obtains an original signal through low-noise amplification, band-pass filtering and analog-to-digital conversion, and outputs a time domain signal matrix through adaptive noise reduction and gain compensation processing; the multi-frequency-point phased array transducer array and the advanced signal processing technology are integrated, the defect recognition precision and efficiency are remarkably improved, the system obtains high-quality original signals through low-noise amplification, band-pass filtering and analog-to-digital conversion technologies at first, then the high-quality original signals are subjected to self-adaptive noise reduction and gain compensation processing, and the defect recognition accuracy is improved. The background noise interference is effectively eliminated, and the purity of the signal is ensured.

The embodiment of the invention discloses a phase adjustment circuit and method and a memory. The phase adjustment circuit includes: a multi-phase clock signal generator configured to generate an initial multi-phase clock signal, a phase error detector configured to detect a phase error of the initial multi-phase clock signal, and a phase error canceller configured to cancel a phase error of the initial multi-phase clock signal; the phase error detector is connected with the multi-phase clock signal generator and is configured to perform phase error detection on the initial multi-phase clock signals to obtain error signals used for representing phase difference information among the initial multi-phase clock signals; the phase error eliminator is connected with the phase error detector and is configured to detect the error signal to obtain an error elimination code; and the multi-phase clock signal generator is also connected with the phase error eliminator and is configured to receive the error elimination code and perform phase adjustment on the initial multi-phase clock signal based on the error elimination code to obtain a target multi-phase clock signal.

The present disclosure provides a wireless receiver having a Delay Doppler channel detector. The Delay Doppler channel detector includes a Delay Dopper domain channel estimator and a detector and demodulator. The Delay Doppler domain channel estimator is configured for estimating a channel gain, a delay, and a Doppler frequency shift of a path of a channel of data received via the channel. The detector and demodulator is configured for extracting a symbol sequence of the received data based on the estimated channel gain, the estimated delay, and the estimated Doppler frequency shift of the path of the channel.

Disclosed are systems and methods including software processes executed by a server that detect audio-based synthetic speech (“deepfakes”). Embodiments implement a machine-learning architecture having a diffusion model that generates purified features that are fed to a deepfake detection model. The machine-learning architecture includes input layers that convert an audio signal into a Gaussian or frequency space representation (e.g., log spectrogram) to extract a set of initial features indicative of spoofing or deepfake attacks. The diffusion model identifies adversarial noise on the audio signal in the initial features and generates purified features or clean version of the input audio signal. A deepfake detector includes a neural network architecture and classifier programmed and trained to generate a deepfake detection score and classify the audio signal as genuine or fraudulent using the purified features.

The invention relates to the technical field of hydrogen production, in particular to a quick response system of a double-probe hydrogen leakage explosion detector and a grading early warning method. Comprising a first hydrogen concentration detection probe and a second hydrogen concentration detection probe which are respectively arranged at two different positions of a monitored area to form a space complementation detection network; the signal processing unit is electrically connected with the two probes and is used for receiving and processing the concentration signals output by the probes; the quick response control module is used for calculating the hydrogen concentration change rate in real time based on an output result of the signal processing unit; the grading early warning module is used for generating different grades of early warning signals according to the hydrogen concentration change rate and the absolute concentration value; the communication interface module is used for transmitting the early warning signal to a remote monitoring terminal; the multi-physical-field parameter change of the electrolyte can be sensed in real time, the control instruction is dynamically corrected, and the anti-interference capability is high.

The invention discloses a photon-assisted radar frequency shift interference and intermittent sampling forwarding interference integrated signal generation method, and relates to the technical field of microwave photon and radar countermeasure. The method is shown in a figure 1 in the specification and is realized based on a laser device (LD), an arbitrary waveform generator (AWG), a dual-drive Mach-Zehnder modulator (DDMZM), an intensity modulator (IM) and a photoelectric detector (PD). According to the method, by adjusting the period of sawtooth waves, the duty ratio of rectangular pulse signals and the sampling period, generation of interference signals integrating various frequency shift interferences and intermittent sampling and forwarding interferences can be achieved. According to the invention, two simple modulators are adopted, and complex bias voltage and polarization state control is not needed; a digital radio frequency memory is not adopted, analog-to-digital and digital-to-analog conversion is not needed, the real-time performance is good, and parameter tuning is flexible; an electric domain frequency dependent device is not adopted, interference signals with the broadband of more than 1 GHz and the wave band of more than Ku can be generated, and the device is suitable for an electronic countermeasure system with the broadband of more than 1 GHz and the wave band of more than Ku in the future.

Embodiments include a system for material detection and identification. The system may include an RF transmit device configured to transmit into an environment an RF signal at a resonance frequency. The system may also include an RF receiver device configured to receive a response signal from the environment. The system may further include a communication device connecting the RF transmit device and the RF receiver device. The communication device may include a control module. The system may include a geolocation device. The control module may be configured to receive geolocation data from the geolocation device, analyze the response signal for resonance characteristics that indicate a presence of a material, and identify the material to a user when the presence of the material is indicated by the resonance characteristics. Methods for material detection and identification are also described. Methods may involve obtaining geolocation data.

The invention provides a partial discharge on-line monitoring method and system based on multi-modal fusion and adaptive noise reduction, and the method comprises the steps: employing an ultrahigh frequency UHF sensor, a miniature ultrasonic sensor, and a miniature detector for gas dissolved in oil, which are disposed on a transformer; synchronously acquiring electric signals, sound signals and characteristic gas concentration data in oil generated in the partial discharge process; performing format unification, abnormal value elimination and time alignment processing on the electric signal, the sound signal and the gas concentration data in an edge calculation unit to obtain aligned multi-source original data; performing adaptive wavelet noise reduction processing on the electric signal to obtain a de-noised UHF signal; respectively extracting time domain, frequency domain and chemical features from the de-noised UHF signal, the aligned sound signal and the gas concentration data to form a multi-dimensional feature vector; and inputting the multi-dimensional feature vector into a pre-trained defect traceability model, and outputting a partial discharge defect type, severity level and development trend prediction result.

The invention relates to the technical field of tunnel fire detection, and provides a rapid tunnel moving fire detection method, which comprises the following steps of: calculating signals received by sensors in parallel by an intelligent algorithm, extracting undistorted characteristic signals in time, and combining data from a plurality of sensors through a data fusion technology; false alarms possibly generated by a single sensor are reduced, so that the fire detection accuracy is improved, and the time from fire occurrence to alarm giving is shortened; by fusing data of a plurality of sensors, the system is more robust to faults or abnormities of a single sensor, and the stability and reliability of the system are improved; the intelligent algorithm can be combined with the time domain oscillogram of a plurality of detectors, space and time information can be extracted in time, the specific position of the fire can be positioned more accurately, and fire extinguishing measures can be taken quickly.

The invention provides a radio frequency front-end module. The radio frequency front-end module comprises a power amplifier, a single-pole double-throw radio frequency switch, a low-noise amplifier, a first single-pole single-throw radio frequency switch, a coupler, a double-pole double-throw radio frequency switch, a radio frequency amplifier, a second single-pole single-throw radio frequency switch, a detector and an operational amplifier. According to the radio frequency front-end module, when the processing capacity of the upper computer is weak or commands between the upper computer and the radio frequency front-end module are incompatible, the signal receiving capacity of the radio frequency front-end module can be improved, switching between a receiving bypass channel and a low-noise amplifier channel can be achieved in time, meanwhile, the complexity of transmitting power control is effectively reduced, radiation is reduced, and the reliability of transmitting power control is improved. The energy consumption is reduced, and the service life of the radio frequency front-end module is prolonged.

A barrier operating system includes a barrier operator configured to emit a charging signal and configured to open and close a movable barrier. The system also includes a wireless obstruction detection system comprising: a transmitter detector and a receiver detector. The transmitter detector includes a battery; a transmitter configured to transmit an IR beam; a communication module in wireless two-way communication with the barrier operator; and an energy harvester configured to receive the charging signal and direct power to the battery of the transmitter detector. The receiver detector includes a battery; a receiver configured to receive the IR beam from the transmitter; a communication module in wireless two-way communication with the barrier operator; and an energy harvester configured to receive the charging signal and direct power to the battery of the receiver detector.

The invention discloses a multi-sideband chirp modulation DAS system and a working method thereof, and relates to the technical field of distributed sound wave sensing. The DAS system comprises a narrow linewidth laser, an optical fiber coupler, a phase modulator, an electro-optical modulator, an erbium-doped optical fiber amplifier, an optical fiber circulator, a dense wavelength division multiplexer, a photoelectric balance detector, a data acquisition card, an arbitrary waveform generator, a direct current source and the like. The phase modulator is used for modulating constant-amplitude multi-frequency continuous light, the frequency number of light waves is related to the harmonic number of a microwave modulation signal, the frequency interval is determined by the fundamental frequency of the microwave modulation signal, the continuous light frequency can be flexibly modulated by adjusting the microwave modulation signal, and the modulation bandwidth is large; detected beat frequency signals are compressed into single-frequency signals through pulses, phase information of the single-frequency signals is demodulated, vibration signals along the sensing optical fiber can be detected, the spatial resolution of the system depends on the chirp frequency sweeping range, and the spatial resolution is high.

The invention relates to the field of water quality parameter detection, in particular to a full-spectrum water quality multi-parameter analysis detector which comprises a full-spectrum acquisition module, a preprocessing module, an information processing module and an application module. The full-spectrum acquisition module is used for transmitting a full-spectrum signal to a detection sample, detecting transmission light and scattered light signals and generating original spectrum data; the preprocessing module is used for preprocessing the original spectrum data by adopting an edge calculation mode to obtain a standardized spectrum matrix; the information processing module is used for calculating the actual concentration value of each impurity in the detection sample according to the standardized spectrum matrix; according to the method, the influence relation between different types of impurities is introduced, compared with a common prediction method, the prediction precision of the concentration of each impurity is higher, whether early warning is needed or not is judged according to the prediction precision, and the situation of misjudgment is avoided.

The invention discloses a Beidou positioning terminal for electric power, relates to the technical field of radio, and effectively solves the problem that remote terrain signals are limited in power grid inspection through a signal enhancement module. The signal enhancement module evaluates a signal coverage index Sg in real time by using multi-band signals of a low-orbit reflection table and a ground radiation device, ensures that the signals continuously cover a complex area through frequency and power adjustment, and ensures the stability and precision of inspection data; the data acquisition module is combined with the electromagnetic interference detector to monitor the electromagnetic interference intensity Ds near the high-voltage power grid in real time and construct an inspection related data set, and the state prediction model is used to capture the positioning dynamic state near the power grid, so that the stability and accuracy of the terminal in a complex environment are ensured. And the precision optimization module is used for dealing with high-precision positioning in inspection requirements, correcting a deviation vector # imgabs0 # through calculation and evaluation, triggering self-inspection, and ensuring positioning precision and updating of a three-dimensional point cloud map.

An internal temperature field and partial discharge on-line monitoring and fault early warning device for power equipment comprises an infrared signal detection and transmission system and a data detection and fault evaluation system in signal connection with the infrared signal detection and transmission system. The infrared signal detection and transmission system comprises a head end searchlighting light path and a signal conversion device which are connected through an infrared optical fiber bundle, and the data detection and fault evaluation system is located on an upper computer and comprises a signal processing module, a data real-time monitoring module and a fault judgment and evaluation module; according to the invention, an infrared radiation image of temperature field distribution in the detected power equipment is detected through the head end searchlighting light path, optical signals are converted and processed through the signal conversion device and the signal processing module, displayed and stored through the data real-time monitoring module, and compared through the fault judgment and evaluation module to provide fault diagnosis. Real-time monitoring and remote control are achieved, the measurement precision is high, the measurement range is wide, and early warning is timely and accurate.

The invention provides an active regulation and control device for a microwave resonant cavity based on Rydberg atoms. The microwave resonant cavity comprises a protective shell, an atomic gas chamber and a photoelectric detector, the active regulation and control device comprises a PID control module and piezoelectric ceramics, the PID control module is used for processing a received EIT transmission spectrum signal after generating a modulation signal to carry out atomic resonant frequency scanning on the atomic gas chamber, obtaining a target resonant frequency through a current feedback zero crossing point corresponding to an EIT transmission spectrum valley bottom value, and generating a deviation correction signal; and the piezoelectric ceramic is used for adjusting the length of a protective shell of the microwave resonant cavity according to the received correction signal, so that the atomic resonant frequency is locked as the target resonant frequency. The invention further provides an active regulation and control method for the microwave resonant cavity based on the Rydberg atoms. According to the invention, the resonant frequency of the microwave resonant cavity can be rectified in real time, and the optimal and most stable resonant mode of the local oscillation microwave frequency responding to atoms is kept.

The invention relates to the technical field of spectrum detection, in particular to a multi-spectrum single-gas-chamber multi-gas self-defined detection method and system.The surface of a cavity mirror of an integral cavity is subjected to regional film coating according to detection requirements, multiple annular reflection regions and a circular reflection region are formed through film coating, the central wavelengths reflected by different reflection regions are different, and the central wavelengths are different; corresponding to absorption peaks of different gases, in order to overcome the limitation of a detector on a detection wave band and optimize a detection light path, a central light beam turning structure is arranged on a light path of an emergent end of the integral cavity and is used for changing the propagation direction of transmission light of a circular reflecting region, so that the transmission light enters a second detection device; the transmission light of the annular reflection area is incident to the first detection device, the problem that the detection spectrum of a traditional detection system is limited by the response range of a single detector is solved, and the detection system can detect and cover a wide range from short waves to long waves by customizing the working spectrum of the two detection devices.

The invention discloses a gas pipeline leakage acoustic detection device and method based on CPO-VMD and multi-feature extraction, and relates to the technical field of gas pipeline leakage detection, and the device comprises a compressed air storage tank, a pressure control valve, a barometer, a pipeline, a seamless steel pipe, a broadband microphone, a data acquisition card and a data storage device. The method using the device comprises the following steps: collecting a sound wave signal of gas pipeline leakage; carrying out adaptive decomposition on the original signal in combination with a CPO algorithm and variational mode decomposition; performing reconstruction and noise reduction on the key modal component through the correlation coefficient; and multi-dimensional features of the reconstructed signals are extracted, the signal features are screened and preferentially selected, and gas pipeline leakage detection and classification are performed through a classification detector. Therefore, by adopting the method, the decomposition effect and the classification precision of the leakage sound wave signals can be effectively improved, and the strong adaptability of a method framework in different scenes is enhanced.

The invention belongs to the technical field of fire detection, and particularly discloses a smoke sensor labyrinth optimization design and dust pollution resistance method, which comprises the following steps: detecting corresponding smoke and dust fusion particles and water vapor particles in an air detection area through a signal transmitting device; water vapor particles are screened to weaken smoke alarm triggered by mistake caused by the water vapor particles, a differential signal processing technology is adopted to distinguish and identify fusion particles, meanwhile, the fusion particles are introduced into a labyrinth measuring cavity, the concentration of smoke and dust is measured in the labyrinth measuring cavity, and the detection stability is enhanced; the width of a labyrinth channel in a labyrinth measuring cavity is automatically adjusted according to the smoke concentration to carry out space division of smoke particles and dust particles, so that the adaptability of the detector to a complex environment is improved; the smoke concentration in the labyrinth measuring cavity is subjected to fire early warning judgment, the cleaning device additionally arranged in the labyrinth measuring cavity is started according to the smoke concentration and the dust concentration for cleaning treatment, and the detection continuity is improved.

The invention discloses a wireless audio frequency band conflict avoidance method in a high-density and high-intensity electromagnetic environment, and the method comprises the steps: monitoring the signal intensity, the frequency band occupation condition and an interference source in the electromagnetic environment in real time, and carrying out the measurement of the signal intensity through a spectrum analyzer or a radio frequency detector; intelligent prediction and dynamic sensing are performed on the spectrum occupation condition by combining a machine learning algorithm, so that the frequency band of audio signal transmission is adjusted in real time, and the current idle frequency band with less interference is dynamically selected for audio transmission based on a spectrum sensing result, so that the conflict with the frequency bands of other equipment is avoided. Through the intelligent spectrum sensing technology, the spectrum use condition in the electromagnetic environment is monitored in real time, frequency band conflicts and interference sources can be efficiently and accurately found, smooth audio data transmission is ensured, transmission delay caused by the frequency band conflicts can be effectively reduced through dynamic frequency band selection and a rapid switching mechanism, and the low delay requirement of real-time audio transmission is ensured.

Example channel circuits, data storage devices, and methods for data read synchronization from phase modulated synchronization fields are described. A data synchronization detector may receive an oversampled digital read signal read from a synchronization field that uses a single written pattern to encode the start of data position, phase, and gain for the read channel. The write pattern may use a phase modulated carrier signal to encode a pseudo-random binary sequence indicating the start of data position.

A detection device for detecting a quality of ultra-long pile foundation of deep foundation pit support structure is provided, and includes a plurality of sound detection pipes which are parallel to each other and are vertically arranged on a reinforcement cage of a pile foundation. The plurality of sound detection pipes are paired, two sound detection pipes in each pair of the plurality of sound detection pipes are arranged opposite to each other, and ends of the plurality of sound detection pipes are connected to each other through connecting brackets; and a sound wave transmitter and a sound wave transducer are respectively arranged in the two sound detection pipes and are connected with the sound wave detector arranged outside the pile foundation through cables.

The invention relates to the technical field of fault searching, and discloses a portable wireless insulation fault searching device suitable for an alternating current power supply system for a transformer substation. Comprising a fault detector, a connector is arranged on the upper surface of the fault detector, an electrifying head is connected into the connector in an embedded mode, an electric wire is arranged on the upper surface of the electrifying head, and an electroprobe is arranged at the end, away from the electrifying head, of the electric wire. The length of the adjusting hollow tube can be adjusted by pulling the adjusting ejector rod out of the adjusting hollow tube, the height of the electroprobe can be adjusted by stretching out the adjusting ejector rod, the height of the electroprobe can be adjusted, and the direction of the electroprobe can be adjusted by means of movable connection of the movable bead and the movable seat. When the device is used for searching and detecting the fault of the alternating current power supply of the transformer substation, a worker cannot raise hands for detection, so that the fatigue of the arms of the worker is relieved.

An electronic device includes a device body having a back surface, a band configured to fasten the device body to a user with the back surface facing a body part of the user, an optical sensor system, and a device removal detector. The optical sensor system has a first optical measurement path and a second optical measurement path. The first optical measurement path has a first optical path length that differs from a second optical path length of the second optical measurement path. The device removal detector is configured to generate a device removal indication responsive to either of, a first set of object proximity measurements received from the optical sensor system for the first optical measurement path, or a second set of object proximity measurements received from the optical sensor system for the second optical measurement path.

The invention discloses a tunnel lining structure crack sound wave detection device and method, and belongs to the field of tunnel crack detection. The tunnel lining structure crack sound wave detection device comprises a moving seat, the top of the moving seat is fixedly connected with an annular track, the bottom of the moving seat is provided with a walking part for pushing the moving seat to advance, the tunnel lining structure crack sound wave detection device further comprises a detection seat, the detection seat is installed on the annular track, and the top of the detection seat is fixedly connected with a sound wave detector, a reciprocating part for driving the detection seat to slide back and forth along the annular track is arranged on the movable seat; according to the invention, the swing rod drives the detection seat and the sound wave detector to swing back and forth along the annular track, so that the reciprocating detection of the section of the tunnel lining structure is rapidly completed, and the detection efficiency and the representativeness of the detection result are improved; and meanwhile, the cleaning roller is driven to rotate during swinging, so that the crack is cleaned before detection, dust and attachments in the crack are prevented from shielding sound waves, and the detection precision is effectively improved.