319 results about "Pulse (signal processing)" patented technology

The invention relates to a naked eye 3D binocular image acquisition and real-time processing system based on hardware synchronous triggering, and belongs to the technical field of image processing and three-dimensional display. According to the system, a hardware synchronous triggering mechanism is adopted, a time sequence synchronous control unit is used for sending a synchronous pulse signal to a binocular image sensor, and strict synchronization of left and right viewpoint image acquisition is ensured. The image signal processing unit processes collected original data, the stereo parallax correction module performs epipolar correction, and the sub-pixel interleaving module generates a composite view frame according to grating parameters of the display terminal. The system realizes high-speed data transmission through a double-buffer direct memory access DMA mechanism. The problems of visual tearing and weak stereoscopic impression caused by asynchronous binocular image acquisition in the prior art are solved, nanosecond-level synchronization precision is realized, optical crosstalk is reduced, and smoothness and comfort of stereoscopic display are ensured.

The invention discloses a full-localization ultra-high-speed multi-channel ADC (Analog to Digital Converter) acquisition and processing platform, and relates to the technical field of signal processing. The platform comprises a high-stability clock distribution calibration module, a synchronous acquisition and pulse injection module, a pulse detection and integer deviation module, a coarse-grained translation alignment module, a sub-sampling phase extraction module, a fractional delay interpolation alignment module, a hierarchical storage and flow control module and a high-speed interface synchronous output module. Multi-channel sampling clock synchronization is realized through FPGA dynamic phase adjustment; performing coarse-grained translation by injecting calibration pulses to detect integer deviation, extracting a sub-sampling phase difference, and adopting fractional delay filtering to realize sub-sampling precision alignment; hierarchical storage and intelligent flow control are carried out according to priorities, and synchronous data flow is output through a domestic high-speed interface; through a full-flow domestic chip and a synchronous correction technology, sub-sampling precision alignment and hierarchical flow control output of a multi-channel ADC at an ultrahigh sampling rate are realized.

The invention discloses an unmanned aerial vehicle countering method and countering device for radio detection, and relates to the field of signal processing, and the method comprises the steps: scanning and capturing a transient radio frequency pulse signal through a radio frequency receiving array, carrying out the time-frequency domain conjoint analysis, constructing a signal intensity space distribution matrix, and extracting a parameter set; matching with a protocol feature library, identifying an unmanned aerial vehicle remote control link protocol type, and calculating an unmanned aerial vehicle position and a threat level in combination with a signal time difference of arrival and a frequency difference; generating adaptive interference signal parameters according to the protocol type and the threat level; the method comprises the following steps: generating a directional beam through a two-dimensional phased-array antenna, focusing the position of an unmanned aerial vehicle to transmit an interference signal, monitoring signal intensity change and protocol response delay in real time, calculating a communication suppression ratio, and iteratively optimizing an interference strategy until a suppression threshold is reached. The method has the advantages that efficient and accurate signal capture and interference are realized through multi-channel radio frequency detection, accurate positioning and adaptive interference technologies, and the countering efficiency and adaptability are remarkably improved.

The invention relates to the technical field of signal processing, and provides a time domain waveform reproduction signal smooth processing method, which is used for detecting the fatigue durability of automobile parts in a vehicle vibration acquisition system, and comprises the following steps: S1, obtaining the initial impedance of the automobile parts and multiple frames of to-be-reproduced signals; s2, calculating a first frame first driving signal, and smoothing the first driving signal to form a target driving signal; s3, calculating and generating a first driving signal of a corresponding frame based on the to-be-reproduced signal of each subsequent frame and the updated impedance corresponding to the previous stage in sequence, and forming a target driving signal; and S4, performing stress analysis on the multi-frame response signals, quantifying the damage accumulation process of the automobile part under the simulated working condition, and evaluating the fatigue durability of the automobile part. According to the invention, the generation of response pulses can be avoided, and the signal waveform reproduction precision is improved, so that the accuracy of fatigue durability detection of automobile parts is improved.

The application discloses an improved radar two-dimensional ambiguity resolution method for multi-targets, comprising the following steps: arranging point trail data after radar signal processing according to pulse repetition period from small to large; constructing a reference lookup table for resolving range ambiguity based on the arranged data; constructing a reference lookup table for resolving velocity ambiguity based on the arranged data; traversing all the frequency combinations of radar transmission, selecting N groups from M groups of frequency for multi-target pairing; obtaining a range pairing table based on the reference lookup table for resolving range ambiguity, calculating the standard deviation between rows of the range pairing table, and solving the real range of targets; obtaining a velocity pairing table based on the reference lookup table for resolving velocity ambiguity, calculating the standard deviation between rows of the velocity pairing table, and solving the real velocity of targets; and merging and processing output target data. The application can solve the problem that the traditional one-dimensional set method cannot meet the real-time requirement when the number of targets is large and the ambiguity is large.

The invention discloses a digital electroencephalograph, and belongs to the technical field of brain-computer interface signal processing. An electroencephalogram signal processor of the digital electroencephalograph acquires digital neural signals of a plurality of channels for a target object, wherein the digital neural signals comprise LFP signals and pulse signals; performing feature extraction on the two signals based on a unified time window and a sliding step length, and integrating a time-aligned feature matrix into a first fusion feature tensor; performing dynamic normalization processing on the first fusion feature tensor, wherein the statistical magnitude is updated along with the change of the input data; and n parallel LSTM networks are used to decode the normalized second fusion feature tensor to obtain n decoding results of different dimensions, the n LSTM networks are mutually independent, and each LSTM network has an independent optimizer and an independent parameter. According to the method, multi-modal features can be aligned in time, signal drift is compensated, decoding robustness is improved, and inter-task optimization decoupling and personalized training are achieved through independent parameters and an optimizer.

The invention discloses an analog signal pulse encoding device based on event driving and an analog signal processing method, and the device comprises a signal conditioning module which comprises at least one conditioning unit, and the conditioning unit is used for receiving an analog signal, carrying out the front-end analog conditioning of the signal, and outputting an analog conditioning signal; the threshold comparison module is connected with the signal conditioning module and is used for carrying out threshold detection on the analog conditioning signal according to a set threshold and then outputting a threshold comparison signal; the event triggering module is connected with the threshold comparison module and is used for triggering a pulse event signal corresponding to the analog conditioning signal according to the threshold comparison signal; and the pulse coding module is connected with the event triggering module and is used for converting the pulse event signal into a pulse coding signal by adopting a pulse coding mode. According to the invention, by introducing the threshold comparison module and the event trigger module at the front end of the device, invalid sampling can be effectively avoided, a large amount of redundant data can be reduced, and power consumption, communication and storage pressure and burden can be reduced.

The invention relates to a counting system for online detection of electronic special gas granularity. The counting system comprises an optical detection module, a gas path control module, a signal processing module, a man-machine interaction module and a data output module, the optical detection module is used for enabling particulate matters in the electronic special gas to be detected to generate scattered light signals and converting the light signals into electric pulse signals; the gas path control module is in fluid communication with the detection area of the optical detection module and is used for accurately controlling the flow, pressure and flow velocity of the electronic special gas to be detected flowing through the detection area and ensuring that the gas flow is in a laminar flow state; the signal processing module is electrically connected with the optical detection module and the gas path control module and is used for receiving and processing the electric pulse signals, and screening, counting and particle size conversion are carried out on the pulse signals through a preset algorithm so as to obtain the quantity and particle size distribution information of the particulate matters; and meanwhile, a control instruction is sent to the gas path control module.

The invention discloses a GIS partial discharge fault positioning method based on multi-feature fusion and kernel density estimation optimization, and the method comprises the following steps: collecting a partial discharge original pulse signal, carrying out the signal processing, and outputting a first processing signal; performing adaptive robust baseline determination on the first processing signal, detecting a wave head position based on multi-feature fusion and a dynamic threshold voting mechanism, and outputting a wave head arrival time; carrying out time synchronization matching on the wave head arrival time, and calculating and outputting a preliminary positioning result based on a time difference of arrival method; and accumulating a plurality of preliminary positioning results, performing optimization by adopting a kernel density estimation method, and outputting a final partial discharge fault position. According to the method, impulse noise and white noise are effectively suppressed, stable signals are provided for subsequent processing, the detection precision of the wave head arrival time is remarkably improved, the problem that false detection and missing detection are caused by the fact that a traditional fixed threshold value or a single feature is prone to noise interference is solved, the random error of single-time positioning is greatly compressed to be within 0.07 m from 0.33 m on average, and the overall positioning precision is improved by 80%.

The invention discloses a phased array radar digital beam forming system, and belongs to the technical field of radar signal processing, and the system comprises a radar central processing and dynamic scheduling subsystem which is used for carrying out the real-time dynamic scheduling control of all subsystems according to external environment parameters; the time sequence synchronous control subsystem is used for receiving a scheduling instruction of the central processing unit and generating a whole-system reference clock and a key time sequence signal; the data transmission and preprocessing subsystem is used for transmitting and preprocessing the data; the long and short pulse cooperative processing and target detection subsystem is used for receiving the preprocessed baseband data stream and executing pulse analysis and target extraction; and the target information extraction and real-time display control interface is used for uploading the processed data in real time and displaying target related information in real time. Through physical complementation of the long and short pulses and extension of the detection distance, full-distance continuous high-precision detection is realized, and through distance-direction dynamic fusion of the long and short pulse data, a distance fault of a traditional scheme is eliminated.

The application discloses a gas extraction water ring vacuum pump fouling degree online detection system and method, relates to the technical field of vacuum pump fouling degree detection, and comprises a sound signal acquisition module, an excitation control module, a parameter sensing module, a signal processing module, a feature compensation module, a fouling inversion module and a model calibration module; the sound signal acquisition module is arranged on the outer wall of the pump body and is used for acquiring structural vibration signals generated in the operation process and outputting original vibration data; the excitation control module is connected with a piezoelectric excitation device and receives the operation state feedback of the sound signal acquisition module, is used for triggering the piezoelectric excitation device to apply high-frequency pulse signals to the pump shell when the suction negative pressure fluctuation is stable and continuously meets the steady-state condition, and synchronously starts the sound signal acquisition module to collect response signals; and the parameter sensing module is used for monitoring the cooling water inlet / outlet temperature and motor current waveform and outputting environmental and operation parameters.

The application discloses a photoacoustic spectrum signal detection system and a detection method. The system comprises a signal acquisition device and a detection signal processing terminal. The signal acquisition device comprises an ultraviolet pulse laser, a first plano-convex lens, a second plano-convex lens, a focusing objective lens, a refractive prism, a helium-neon laser, an electric displacement platform, a polarization modulation assembly, a light splitting assembly and a differential detector. The photoacoustic spectrum signal detection system uses the specific absorption of cell nuclei to ultraviolet light, obtains a differential detection signal through the differential detector and generates an analysis spectrum. The light sensing assembly collects a light sensing signal of the sample and generates a microscopic image. The detection system can realize photoacoustic spectrum analysis of a cell nucleus level micro-sized absorber, thereby obtaining a high-resolution analysis spectrum and a microscopic image reflecting the physical properties inside the cell nuclei. The label-free and non-staining photoacoustic spectrum signal detection does not need staining and can save detection time, and the accuracy of cell detection on biological samples is improved.

This application provides a method and apparatus for monitoring the ultra-high frequency partial discharge (UHF) oscillation characteristics of a hydro-generator, relating to the field of signal processing technology. The method includes: acquiring a partial discharge signal; preprocessing the partial discharge signal to obtain a preprocessed signal; extracting the first-order envelope of the preprocessed signal, and obtaining a second-order envelope based on the first-order envelope; and processing the pulses in the partial discharge signal based on the second-order envelope to obtain a processed partial discharge signal. The implementation provided in this application better captures subtle changes and attenuation behavior in the partial discharge signal, improves the accuracy of partial discharge signal processing, and meets the requirements for rapid and real-time monitoring of partial discharge and resistance to interference in complex electromagnetic environments.

The invention discloses a portable anti-interference medium-wave TACAN station evaluation system, which comprises a radio frequency front-end module and a digital signal processor, and is characterized in that the radio frequency front-end module is used for transmitting, receiving and frequency conversion of radio frequency signals; the digital signal processing module comprises an FPGA (Field Programmable Gate Array), a built-in digital signal processing module, an inquiry pulse generation module and a time sequence control and data rejection module; according to the invention, through designing the integrated evaluation system, deep sharing and multiplexing of hardware resources such as a radio frequency channel, a signal processing unit and a power supply module are realized; the data rejection module based on the emission time sequence automatically activates a protection window when the equipment emits an inquiry pulse, identifies and rejects generated invalid navigation information in real time, and ensures that a final evaluation result completely depends on valid data of a receiving time period, so that the accuracy and reliability of station evaluation data are improved.

This invention relates to a radar pulse signal detection method and apparatus based on sparse spectrum sensing. The radar pulse signal detection apparatus based on sparse spectrum sensing includes a sparse spectrum sensing module, a dynamically adjusted adaptive filtering module, and a dual-threshold pulse detection module. The sparse spectrum sensing module performs single-bit sampling on the original signal to obtain the signal frequency and bandwidth. The dynamically adjusted adaptive filtering module filters the signal according to the signal frequency and bandwidth. Utilizing the sign bit of the AD data for spectral sensing, the system monitors and tracks the input spectral distribution in real time. Compared to the traditional short-time Fourier transform, this significantly reduces the resources required for signal processing and increases the processing bandwidth. During filtering, based on the pulse signal center frequency and bandwidth obtained from the spectral monitoring module, the dynamically adjusted adaptive filtering module adjusts the filter's center frequency to achieve tracking and filtering of the radar pulse signal.

This invention relates to lidar, specifically to a high-precision self-mixing pulse modulation semiconductor lidar, comprising: a driving circuit that drives a semiconductor laser to emit pulsed laser light; an optical amplification unit that amplifies the power of the pulsed laser light and transmits it to an optical coupling unit; an optical coupling unit that collimates or focuses the amplified pulsed laser light onto the target and backcouples the reflected or scattered light from the target to the resonant cavity of the semiconductor laser, where it undergoes self-mixing interference with the intrinsic laser light within the cavity to form a self-mixing lidar signal; and a signal processing unit that conditions and processes the self-mixing lidar signal, outputting the velocity and range information of the target. The technical solution provided by this invention effectively overcomes the shortcomings of existing technologies, such as poor low-speed detection capability, high external frequency shifting loss and cost, and poor overall adaptability.

An operation method of a radar signal processing apparatus in a radar system may include: generating pulse signals of a number of any one sampling rate having different phases; transmitting the pulse signals to a target; receiving reflected pulse signals reflected back from the target; generating a composite signal by sampling the reflected pulse signals and combining the sampled reflected pulse signals to match the phases; and extracting target information from the composite signal.

The invention relates to the technical field of radar interference high-speed transmission, in particular to an SAR (Synthetic Aperture Radar) interference method based on high-speed data transmission, which comprises the following steps of: receiving a radio-frequency signal transmitted by an interfered SAR, performing down-conversion and analog-to-digital conversion on the radio-frequency signal by a radio-frequency receiving front end to obtain an original sampling data stream, and transmitting the original sampling data stream to a programmable logic part through a high-speed serial interface; the method comprises the following steps: extracting pulse description words including pulse arrival time, pulse width, pulse repetition interval and carrier frequency, reconstructing a coherent interference signal baseband waveform in real time according to the pulse description words, and performing digital up-conversion and digital pre-distortion processing on the baseband waveform to generate a target interference intermediate frequency digital signal; and after digital-to-analog conversion and up-conversion are completed, an interference radio frequency signal is radiated. According to the method, data transmission and signal processing delay can be reduced, interference signal coherence is guaranteed, and intermediate frequency signal generation precision and processing real-time performance are improved.

This application provides a signal processing method, apparatus, Hall sensor, medium, and product. The method includes: acquiring a copy of a signal to be processed from the Hall sensor and clamping the signal in the i-th signal period of the copy; if the signal to be processed is free from electromagnetic interference, determining a signal conversion threshold based on the DC component in the i-th signal period of the signal to be processed; if the signal to be processed is subject to electromagnetic interference, determining the signal conversion threshold based on the DC component in the i-th signal period of the copy; and converting the signal in the (i+1)-th signal period of the signal to be processed into a pulse signal based on the signal conversion threshold. This solution simplifies signal processing by converting the signal to be processed into a pulse signal. When electromagnetic interference is present, signal conversion based on the clamped signal can correct signal loss caused by electromagnetic interference, thereby improving the accuracy of the Hall sensor's sensing results.

The application discloses a library high-density book management system and a management method thereof, and belongs to the field of library management. The library high-density book management system comprises a multi-mode SAW sensing label, a reader-writer head terminal, and a regional controller. The reader-writer head terminal is arranged at the top center of each bookshelf unit at an interval of 3-5 meters. The reader-writer head terminal is composed of a small linear array of 4-8 microstrip patch antennas, generates high-frequency pulses, and receives reflected signals, and is used for accurately measuring echo arrival time and phase. The regional controller is arranged in each reading room or area, and is responsible for managing all reader-writer head terminals in the area. The regional controller is a controller with a built-in FPGA, and realizes real-time beam control and signal processing. The application realizes passive sensing of the physical state of books, and realizes high-precision positioning through a beam arrival time difference.

Magnetostrictive displacement sensor, characterized in that it comprises a measuring head (1) and a measuring rod (2) which are connected to each other, and a slider (3) which is arranged on the measuring rod (2) and can move along the longitudinal direction of the measuring rod (2);wherein the measuring head (1) comprises a housing (11), a sensitive element assembly (12), a signal processing element (13), a pulse element (14) and an end cap assembly (15), wherein the end cap assembly (15) is detachably arranged on one side of the housing (11) facing away from the measuring rod (2), wherein the end cap assembly (15) and the housing (11) together form a receiving cavity (11a), wherein the sensitive element assembly (12), the signal processing element (13) and the pulse element (14) are all arranged in the receiving cavity (11a), wherein the sensitive element assembly (12) is electrically connected to the signal processing element (13) and the pulse element (14), wherein a waveguide wire (127) is arranged inside the measuring rod (2), wherein one end of the waveguide wire (127) is connected to the sensitive element assembly (12) is connected;wherein the magnetostrictive displacement sensor (100) further comprises a holder (16) comprising a first surrounding plate (161) and a second surrounding plate (162), one of the first surrounding plate (161) and the second surrounding plate (162) being provided with an insertion part, while the other being provided with a fitting part, the insertion part snapping into the fitting part, the first surrounding plate (161) and the second surrounding plate (162) enclosing a limiting groove, with at least a portion of the structure of the sensitive element assembly (12) being limited in the limiting groove, and wherein the signal processing element (13) and the pulse element (14) are each arranged on two opposite sides of the sensitive element assembly (12), and wherein the signal processing element (13) and the pulse element (14) are each in buffered contact with the inner side wall of the housing.

This invention discloses a peak retrieval and feature extraction method suitable for environments with strong electromagnetic interference, belonging to the field of signal processing and high-speed data acquisition technology. Due to the presence of a large amount of broadband random noise and high-frequency interference in signals under strong electromagnetic environments, the peak features of signals are difficult to extract accurately. This invention proposes a peak detection and feature extraction method based on continuous comparison. This method constructs a sliding comparison model to quickly locate candidate peaks by comparing the amplitudes of adjacent sampling points, and combines a threshold decision mechanism to remove false peaks caused by noise. Based on this, feature parameters such as peak amplitude, peak position, and pulse width are extracted. Simultaneously, a dual-RAM ping-pong cache structure is introduced to achieve alternating storage and parallel output of feature data, avoiding data processing blockage and improving system real-time performance and stability. This invention has a simple structure, is easy to implement in FPGA, and can achieve high-precision peak detection and continuous data output under high-speed sampling conditions. It has good anti-interference performance and engineering application value.

The invention relates to a method for monitoring a rotary motion of a gear (13) in the drive (3) of an escalator (1), comprising: receiving a sensor signal (21), which was generated using a sensor (15) to scan the teeth (17, 17a, 17b) of the gear (13), in a signal processing device (19); detecting pulses (25) by scanning the sensor signal (21), the pulses (25) are counted by assigning a count value (37) to each pulse (25), each pulse (25) is also assigned a time value (39) indicating a time interval between the pulse (25) and the next pulse (25); Perform the following steps for each detected pulse (25): select a reference time value (41) by comparing the count value (37) assigned to the detected pulse (25) with a list (43) that assigns reference time values ​​(41) to possible count values ​​(37);determine a deviation of the time value (39) assigned to the detected pulse (25) with respect to the selected reference time value (41); based on the deviation, detect if the gear (13) is rotating at the desired speed.

This invention discloses a magnetotelluric denoising method and system based on a physics-driven and conditional diffusion model, belonging to the field of electromagnetic signal processing technology. This method integrates the advantages of neural networks and the physical characteristics of magnetotelluric signals, and proposes a physics-driven synthesis strategy based on statistical priors of measured source data and a curriculum-based dynamic physics-driven noise addition strategy based on training progress factors. Addressing the scarcity of high-quality, clean samples, a clean background field that highly approximates real physical characteristics is synthesized using a parametric mathematical model. The introduction of curriculum-based dynamic physics-driven noise addition (such as noise floor annealing, square wave incrementing, and morphological clustering pulses) accurately simulates natural background degradation and complex human interference, enabling the model to adapt to extremely complex time-frequency characteristics under different geological structural backgrounds. This completely overcomes the domain shift problem caused by static Gaussian white noise training, constructs a richer sample library, and lays the foundation for accurate denoising of conditional diffusion models.

This invention relates to the fields of nuclear detection electronics and radiation signal processing technology, specifically to an intelligent analysis system and method for nuclear radiation data. The system includes: acquiring a discrete voltage sequence output by the detector; marking pulse signals as clean pulses and calculating the real-time decay constant; calculating the net signal amplitude using a digital twin state-space recursive model; determining the real-time count rate based on the net signal amplitude and calculating the dynamic time window width based on the real-time count rate; discretely accumulating the net signal amplitude based on the dynamic time window width to generate a single-particle physical energy value; determining the measured peak position based on the single-particle physical energy value and generating a gain adjustment coefficient by combining the measured peak position with the real-time decay constant; and outputting a gain control signal based on the gain adjustment coefficient. This invention ensures precise synchronization between the subsequent calculation model and the current physical state of the detector, thereby significantly improving the physical authenticity and accuracy of energy spectrum analysis under varying temperature conditions.

The invention discloses a simultaneous diversity signal real-time detection method, and belongs to the technical field of radar signal reconnaissance. Comprising the following steps: S1, full-channel signal detection and parameter measurement; s2, performing hierarchical cache management on pulse description words; s3, performing matching detection and fusion processing on the simultaneous diversity signals; s4, data re-caching and detection circulation are carried out; according to the simultaneous diversity signal real-time detection and measurement method provided by the invention, aiming at the technical pain point that a traditional digital channelized radar reconnaissance receiver is difficult to detect the simultaneous diversity signal quickly and effectively in real time, through the core design of hierarchical cache management, fixed reference matching fusion and closed-loop circulation detection, the real-time detection of the simultaneous diversity signal is realized; according to the method, accurate and real-time detection and parameter extraction of simultaneous diversity signals are achieved, meanwhile, excellent engineering realizability and scene adaptability are achieved, breakthrough is achieved from multiple aspects of signal detection performance, processing real-time performance, hardware landing performance, engineering practicability and the like, and the signal processing capacity of a radar reconnaissance system in a complex electromagnetic environment is greatly improved.

The invention discloses an aero-engine blade non-contact vibration measurement system and method, and belongs to the technical field of engine testing. The system comprises an optical fiber sensor, a rotating speed reference signal generation unit, a sensor clamp and a signal processing unit, the optical fiber sensor is arranged at a specific circumferential position of an engine case; the rotating speed reference signal generation unit is matched with the corresponding optical fiber sensor through an optical mark on the rotating shaft to obtain a rotating speed reference pulse signal of each rotation; the sensor clamp fixes and positions the optical fiber sensor; the signal processing unit processes the collected signals to obtain blade vibration parameters. The measuring method comprises the steps of setting optical marks, arranging optical fiber sensors, collecting signals and analyzing data, and completing blade vibration characteristic detection. The non-contact design is adopted, the problem of obtaining high-precision rotating speed reference signals in a complex rotating disc cavity is solved, the precision and stability of blade vibration measurement are improved, and reliable guarantee is provided for safe operation of an engine.

The utility model belongs to the technical field of ultrasonic water meters, and discloses a high-precision ultrasonic water meter which comprises a water pipe body, flange plates are arranged at the two ends of the water pipe body, and an ultrasonic monitoring device is installed at the upper end of the water pipe body. The ultrasonic monitoring device comprises a shell installed on the outer wall of the water pipe body, a display screen installed on the upper surface of the shell, a power module installed in the shell, an ultrasonic sensor installed in the shell and a signal processing module installed in the shell, and the ultrasonic sensor is composed of an emitter and a receiver. The display screen is used for transmitting and receiving ultrasonic pulses, and a protection device for protecting the display screen is arranged on the shell. The device has the effect of prolonging the service life of the device.

The invention relates to the technical field of power electronic devices, in particular to a lightning arrester testing device and method, and the device comprises a first chamber, a second chamber and a third chamber which are provided with a passive shielding layer and an active shielding layer. The first chamber is provided with a first acquisition unit; the second chamber is used for extracting a leakage current component and a pulse response signal component from the mixed signal output by the first acquisition unit, and calculating a resistive current according to the leakage current component; the main control unit is used for analyzing a pulse response signal component to obtain a discharge counting result, and the signal processing unit is used for receiving and transmitting an electromagnetic interference signal detected by the active shielding layer to the main control unit, responding to an elimination instruction of the main control unit and generating and outputting an anti-interference signal; and the third chamber is provided with a pulse output unit which is used for responding to a pulse output instruction of the main control unit and outputting a corresponding pulse signal to the lightning arrester, so that the technical problem that a leakage current test and a discharge counting test are difficult to carry out simultaneously by an existing lightning arrester test device is solved.

The invention relates to a satellite-borne fluorescence hyper-spectral detector electronics system with high integration level and high signal-to-noise ratio. A signal processing module is used for controlling the working mode of a detector; receiving a second pulse signal of a satellite GPS subsystem to generate a time count of a frame synchronization signal; carrying out extremely low noise quantization on an analog signal transmitted by the focal plane driving unit; the image data and the auxiliary data are coded and integrated and then sent to a satellite data transmission subsystem; a global clock and a global reset signal are generated and sent to the sequential control unit; the time sequence control unit generates a frame synchronization signal and a clock synchronization signal, and generates a driving time sequence signal of a CCD in the focal plane driving unit; the focal plane driving unit generates various bias voltages required by the work of the CCD; receiving a driving time sequence signal to generate various high-voltage driving signals required by the work of a CCD (Charge Coupled Device); and the CCD output analog signal is output to the signal processing unit after being subjected to power amplification and impedance matching. The signal-to-noise ratio of the system is improved, and the size, weight and power consumption of imaging electronics of the detector are reduced.