65results about How to "No aliasing" patented technology

The invention provides an underground cable fault detection system and fault detection method thereof. The underground cable fault detection system comprises a cable fault ranging device, a cable pathdetection device, and a fault point detection device. The cable fault ranging device consists of a low-voltage pulse signal source, a high-voltage pulse signal source, and a high-speed receiving device to realize signal detection in a low-voltage pulse reflection method and a flashover method. The cable path detection device includes an alternating-current high-voltage signal source and an electromagnetic induction receiving device; the frequency and amplitude of the alternating-current high-voltage signal source are adjustable; the alternating-current high-voltage signal source excites a to-be-detected cable to generate an electromagnetic field; and the electromagnetic induction receiving device detects the electromagnetic field generated by the to-be-detected cable. The fault point detection device includes a high-voltage pulse signal source, a direct-current signal source, an alternating-current signal source, a step-voltage receiving device, an electromagnetic induction receivingdevice, and an acousto-magnetic synchronous receiving device. The underground cable fault detection system can be applied to detection of underground cable open-circuit, short-circuit, grounding, low-resistance, high-resistance flashover and high-resistance leakage faults to obtain an accurate fault point.

The invention relates to an augmented reality-based scene recognition method and device, a storage medium and a device. The method comprises the following steps: a depth camera is called to shoot an object scene, and spatial three dimensional information of the object scene is obtained; according to the spatial three dimensional information of the object scene, virtual information to be displayedand a display position of a screen for the virtual information to be displayed are obtained; according to the virtual information to be displayed and the corresponding display position for the same, adisplay instruction used for controlling display of the corresponding virtual information to be displayed at the display position of the screen is generated, and the display instruction and the virtual information to be displayed are sent to the screen. Via the spatial three dimensional information of the object scene, the virtual information to be displayed and the display position for the sameare obtained; direct control over display of the virtual information to be displayed at the display position for the same is realized, display of virtual frames of the object scene on the screen is not needed, users are enabled to feel virtual information displayed on the screen with naked eyes when watching the screen and feel supplemental superposition of real object scenes seen beyond the screen, and good visual effects can be realized.

An SVR antifriction bearing performance degradation prediction method based on a krill-herd algorithm belongs to the field of functional approximation rotating machinery prediction methods. The method comprises the following steps: firstly analyzing time domain, frequency domain and time-frequency domain feature indexes, and proposing a feature extraction method based on combination of CEEMD and wavelet packet half-soft threshold noise reduction to perform fault diagnosis of an antifriction bearing; performing comprehensive evaluation of the fault degradation feature of the antifriction bearing for multiple feature parameters, and proposing a method of combining the LLE nonlinear feature dimension reduction method with the fuzzy C mean value; and finally, introducing the basic theory of the support vector regression machine, and proposing the prediction model of multivariable support vector regression machine based on the krill herd algorithm, optimizing parameters of the SVR, and selecting the optimal C, [sigma] parameters. The method is advantaged by high prediction precision, short calculation time, and good feature value prediction effect after clustering. The degradation process of the antifriction bearing can be precisely predicted through the abovementioned three steps.

The invention discloses a non-aliasing reconstruction method of high-speed leaf undersampled leaf apex vibration signals. The method comprises the following steps that (1) a leaf apex timing signal acquisition system is used for obtaining undersampled leaf apex vibration signals, (2) the frequency band range of high-speed leaf vibration performance is determined, (3) leaf apex vibration signals are reconstructed for the first time based on the Shannon sampling theorem, (4) proper wavelet packet decomposition layer numbers are determined to enable the assigned frequency band range is consistent with one frequency band after wavelet packet decomposition, (5) signals in the assigned frequency band range are reconstructed again from the reconstructed signals hat(z)[n] at the first time using wavelet packets, (6) the coefficients of wavelet packets except for the Rth wavelet packet are all set to be zero, and the traditional wavelet packet reconstruction algorithm is utilized for reconstructing signals in the frequency band range of [f0-B0 / 2, f0+B0 / 2]. The non-aliasing reconstruction method is simple in process and easy to realize, reconstructed signals are not deflected and not in aliasing, and real and reliable high-speed leaf vibration signals can be provided.

The invention relates to a configurable digital correlator for a complete polarization microwave radiometer system. At a radio frequency front end of the complete polarization microwave radiometer system, a signal after frequency-mixing amplification and orthogonal transformation is transformed to be a differential signal and then is input into four ultrahigh-speed ADC (Analog to Digital Converter) input ends to be converted into a digital signal after sampling conversion, and the digital signal after multi-path multiplexing is input into a digital correlative circuit; the digital correlativecircuit comprises a parameter selection module and a correlative calculation module, wherein the parameter selection module returns a command to modify a digital correlative digit parameter and an integration time parameter in an FPGA (Field Programmable Gate Array) through a serial port of a computer to configure the FPGA in real time so as to realize digital correlation from 2 bits to 12 bits and selection of the integration time from 5ms to 50ms; and the correlative calculation module executes deceleration and correlative calculation processing on the input digital signal after determiningquantization digit and the integration time and outputs a correlation result to a computer through a data format conversion and external interface circuit according to a required sequence.

The invention provides an undersampled leaf apex timing vibration signal reconstruction method and a device thereof. The method comprises the steps of (1) acquiring the displacement sampling data of a non-uniform blade end based on a blade end timing vibration measurement system; (2) determining the vibration characteristics of a high-speed blade and the frequency band range of the high-speed blade; (3) based on the periodic non-uniform sampling theory, completing the interpolation reconstruction for the vibration signal of the blade. The vibration displacement is acquired by a first blade end timing sensor and a second blade end timing sensor, wherein the first blade end timing sensor and the second blade end timing sensor are arranged in a casing. Based on the method, reconstructed signals are agonic and non-biased. Meanwhile, only by means of two blade end timing sensors, corresponding data can be acquired. In this way, not only data can be acquired completely and accurately, but also the cost is effectively reduced.

The invention provides an inhomogeneous undersampled blade end timing vibration signal reconstruction method and device, and the method comprises the following steps: 1), obtaining inhomogeneous blade end displacement sampling data through employing a blade end timing vibration measurement system; 2), determining the vibration characteristics and frequency band range of a high-speed blade; 3), achieving the interpolation reconstruction of a blade vibration signal based on a periodic inhomogeneous sampling principle. The method causes no deviation and aliasing during signal reconstruction.

The invention relates to a failure prediction method of a roller bearing based on a partial least squares extreme learning machine. The method herein includes: analyzing feature indexes, such as timedomain, frequency domain and time-frequency domain, providing a feature extraction method based on the combination of half-normal distribution and empirical wavelet denoising to perform failure diagnosis on a roller bearing so as to obtain better denoising effect owing to proximity to original signals; for multi-feature parameters, comprehensively evaluating failure attenuation features of the roller bearing, and providing a method with the combination of residual-modified ISOMAP (isometric feature mapping) nonlinear feature dimension reduction and fuzzy C-means, so that change tendency and sorting precision are improved for the roller bearing in different attenuation stages; based on the extreme learning machine theory, providing a data prediction model based on a partial least squares extreme learning machine, optimizing parameters in the ELM (extreme learning machine), selecting node quantity of an optimal hidden layer and weight value of a connection layer, and selecting a Softmaxactivation function. Therefore, prediction precision is high, calculating time is short, and post-clustering feature value detection is effective. The failure stage of the roller bearing can be precisely predicted via the above steps.

The invention discloses a full-Stokes interference imaging spectral device and a method based on time-sharing polarization modulation. The full-Stokes interference imaging spectral device comprises a time-sharing polarization modulation device and a slit-free Sagnac interference imaging spectral device. The time-sharing polarization modulation device can be composed of a rotatable phase delayer and a fixed linear polarizer. The Sagnac interference imaging spectral device is composed of two imaging objective lens, a collimating objective lens, a Sagnac shear beam splitter, and an imaging detector. A target beam to be detected is incident on the time-sharing polarization modulation device to generate four different polarization states; after the target beam to be detected passes through the interference imaging spectral device, four groups of target images carrying different polarization state information and interference information are obtained on the target surface of the imaging detector; and through data processing, four-dimensional light information of a detection target scene is obtained ultimately, namely, two-dimensional spatial information, spectral information of each point, and full-Stokes polarization information of each spectrum. The full-Stokes interference imaging spectral device of the invention has the advantages of high luminous flux, high spatial resolution, and the like.

The invention discloses a seismic data multiple elimination method. The method comprises the following steps: S1, inputting three-dimensional data d(offx,t), and according to three-dimensional space coordinate information, extracting channel sets as three-dimensional surface element channel sets dbin(y,x,t); S2, calculating nonlinear trend fitting coefficients p(x) and p(y), writing out conversionoperators Lx, Ly and Lxy, and calculating Radon domain data M; S3, cutting the Radon domain data to obtain a multiple model mra, and performing calculation and conversion to obtain a time-space domain multiple model; S4, performing subtraction to obtain three-dimensional surface element channel sets p after multiple elimination; and S5, sequentially arranging the channel sets according to scalaroffsets to obtain three-dimensional data after multiple elimination. The high-frequency calculation is restrained through a low-frequency result; the low-frequency result does not generate an alias frequency in operation, so that a relatively good high-resolution effect still can be achieved under the condition of sampling sparseness; and meanwhile, the process of improving the resolution by a conventional iterative method is avoided, so that the calculation efficiency is greatly improved.

A novel etching process for coating and etching a metal workpiece relates to the etching of a metal part. The process comprises an electrophoretic coating procedure for coating an electrical part, a laser etching procedure for carving the electrical part, an etching procedure for graphic processing of the coating of the electrical part, and a film removing procedure for removing the coating of the electrical part. The process further comprises a wastewater recycling procedure for recycling wastewater generated in the electrophoretic coating procedure, the etching procedure, and the film removing procedure. The above described electrophoretic coating procedure is connected with and is automatically controlled by a numerical control system. The novel etching process has beneficial effects that the process setup is reasonable, multiple times of washing reduce solution residual in different procedures, the resulting product has no out-of-shape decoration and has high precision.

The invention discloses a channel estimation method, which suits a CMMB terminal under the condition that channel delay extension is larger than CP. The method comprises the following steps: firstly, subjecting inputted discrete pilot frequencies to interpolation in the time direction; and then subjecting the discrete pilot frequencies to interpolation in the frequency direction. The invention further discloses a CMMB terminal. The method can improve the frequency domain resolution of the discrete pilot frequencies, thereby preventing the occurrence of aliasing even under the condition of long delay extension and further effectively improving the channel estimation performance of the CMMB terminal.

The invention discloses a method for recovering abnormal topographic data of lunar craters. The method comprises the following steps of: obtaining elevation value data; screening abnormal areas by adoption of a section elevation abnormal value detection algorithm; carrying out fitting to obtain an elevation distribution curve on the current section line by adoption of a section line curve fitting algorithm, and predicting elevation values of the abnormal areas on the section line according to the fit curve; and obtaining new recovery elevation value to complete the recovery of the original topographic data. According to the method disclosed by the invention, the data loopholes and data abnormal values in lunar topographic DEM data can be recovered, and the recovered topographic data is smooth in surface, so that the processing demands of Chang'e lunar basic spatial data are fully satisfied and the effect is apparent.

The invention discloses a process for producing a conducting circuit of a capacitive touch screen. The method comprises the following steps of: (1) adhering a photosensitive dry film to the surface of a Cu layer of an ITO-Cu (Indium Tin Oxide-Copper) film, exposing, curing the photosensitive dry film corresponding to a Cu conducting circuit pattern, removing uncured photosensitive dry film and removing the Cu layer which is not covered by the photosensitive dry film to obtain a Cu conducting circuit; (2) forming an ITO conducting circuit pattern on the surface of an ITO layer, which is not covered by the Cu layer, of the ITO-Cu film from the ink in a screen printing mode, drying the ink, and removing the ITO layer which is not covered by the Cu layer and the ink to obtain an ITO conducting circuit; and (3) removing shielding ink on the Cu layer and the ITO layer. By adopting the method for manufacturing the conducting circuit of the capacitive touch screen, the manufactured Cu conducting circuit is finer, has higher smoothness, does not have burr and saw-tooth phenomena and can be continuously produced.

The embodiment of the invention discloses an image edge detection method and device and a storage medium. According to the embodiment, a to-be-detected image is acquired, then an original brightness value of pixel points in the to-be-detected image is acquired, linear filtering is performed on the pixel points in the to-be-detected image, a brightness value of the pixel points after linear filtering is obtained, a brightness difference value between the brightness value of the pixel points after linear filtering and the original brightness value is acquired, and edge pixel points in the to-be-detected image are determined according to the brightness difference value. Through the scheme, image edge detection can be performed based on the linear difference value of pixel brightness, a soft edge can be obtained, a sawtooth effect does not exist, and the visual effect of the edge is improved; and besides, noisy points can be filtered by adjusting filtering parameters of linear filtering, influences of the noisy points are eliminated as far as possible, and the precision of image edge detection is improved.

The invention discloses a high-light-spectrum full-polarization detection device for interference light field imaging, comprising a prepositioned optical telescoping system, a transverse cutting interference system, a light field imaging system, an area array detector and a signal processing system, which are arranged in sequence, wherein light of a target to be detected sequentially passes through the prepositioned optical telescoping system, the transverse cutting interference system and the light field imaging system to reach to the area array detector; and the signal processing system is used for extracting a two-dimensional space image, high-light-spectrum information and a full-Strokes polarization component of the target to be detected from the area array detector. With the adoption of the detection device, light strength information of a target two-dimensional space, the full-Strokes polarization component of each point of the target, and high-resolution-ratio light spectrum information of each point of the target can be obtained by one time of measurement; and the detection device has a simple structure.

According to the embodiment, the invention relates to a computed tomography device, a scanning method and an image reconstruction method. The computed tomography device comprises a fixed frame (1), arotary frame (2), a light source generating device (3), a signal detection device (4) and a scanned object supporting device (5), wherein the rotary frame (2) can rotate around some fixed point in anX-Y plane, and the scanned object supporting device can be kept immobile in an Z direction; the light source generating device (3) is arranged on the rotary frame (2) and is opposite to the position of the light source generating device, and the signal detection device, in a rotating process, is free from change in position relative to the light source generating device, so that a cone beam lightsource can be received by an area array of the signal detection device; and the signal detection device is of an area-array structure adaptive to collection of the cone beam.

The invention discloses a manufacturing process of a laminated film mold. The manufacturing process of the laminated film mold comprises the following steps of (1) preparing a shading film, namely, coating a photosensitive material on a PET base material, and exposing and developing to obtain the shading film with a required texture pattern; (2) preparing a texture film, namely, applying UV glue on a texture female die substrate, covering the UV glue with a PET film, transferring the required texture on the PET film through transfer printing machine impressing and UV photocuring, and separating the texture female die substrate from the PET film to obtain a PET texture film; (3) laminating the texture surface of the shading film prepared in the step (1) with the non-texture surface of the PET texture film prepared in the step (2), and defoaming and cutting to obtain a semi-finished product of the film mold; and (4) performing PVD coating on the texture surface of the PET texture film ofthe semi-finished product of the film mold to obtain a finished product of the film mold. The film mold has the advantages of being good in toughness, high in precision, high in yield and simple in process.

The invention discloses a high-voltage direct-current transmission line calculation model based on distributed resistance parameters. The method comprises the steps of (1) acquiring a fault voltage signal and a current signal; (2) carrying out decoupling to obtain aerial mode components; (3) calculating voltage and current aerial mode components of a direct-current transmission line along the lineby utilizing a distributed parameter line model based on distributed resistance; (4) calculating a reverse traveling wave current of the direct-current transmission line along the line; and (5) calculating a modulus maximum value of the reverse traveling wave current by adopting stationary wavelet transform. According to the method, after voltage and current values of measuring points at the twoends of the line are extracted, voltage and current aerial mode component values of the direct-current transmission line along the line are calculated by utilizing the line model based on the distributed resistance; then according to the characteristics that a first reverse traveling wave is not reflected yet, the influence of frequency change of a reflection coefficient is avoided and fault features are obvious, a reverse traveling wave current value of the direct-current transmission line along the line is calculated; and finally, the modulus maximum value of the reverse traveling wave current is calculated through the stationary wavelet transform, so that the accuracy of the transmission line calculation model is improved.

The invention relates to a digital meter panel drafting method based on OpenGL-ES and belongs to the real-time image display technology field. According to the method, an antialiasing drafting method is employed to carry out line drafting of a digital meter panel, lines drafted based on OpenGL-ES are divided into at least two triangles from edges to the center, and triangle vertexes are assigned with different transparency degrees to realize smooth fusion of line colors and background colors of the drafting result. The method is advantaged in that the lines of the drafted digital meter panel have no sawtooth, the edges and the background can realize excellent fusion, compared with full screen processing of an anti-sawtooth function defaulted by OpenGL-ES, drafting efficiency can be substantially improved through antialiasing line drafting.

The invention discloses a printing method. The printing method comprises the steps that an elastic coating is formed on a substrate through spraying; a first kind of ink with the granularity as a first value is utilized for carrying out printing on the elastic coating to obtain a first printing coating; and a second kind of ink with the granularity as a second value is utilized for carrying out printing on the first printing coating to obtain a second printing coating, wherein the second value is smaller than the first value. The method is used for solving the technical problem that in the prior art, due to the fact that the surface roughness of the elastic coating is high, when ink with higher glossiness is utilized for printing marks on the surface of the elastic coating, the sawtooth phenomenon can appear at the edges of the marks. The technical effect that when the ink with higher glossiness is utilized for printing the marks on the surface of the elastic coating, the sawtooth phenomenon cannot appear at the edges of the marks is achieved.

A medium-wave infrared Fourier transform imaging spectrometer athermalization secondary imaging system relates to the technical field of spectral imaging, solves defects of an athermalization technology of an existing infrared optical system, and comprises a stepped micro-reflector, a beam splitter, a compensation plate, five lenses, a detector window, a detector cold diaphragm and a detector array plane. By solving a focal power distribution equation, a system out-of-focus equation caused by a lens refractive index change and a material thermal expansion and lens cone thermal expansion equation, three materials of chalcogenide glass, germanium and silicon are mutually combined to realize a passive athermalization function. According to the system, the passive athermalization function is realized in a temperature range of-20 DEG C to 60 DEG C, relative illuminance of an edge of an image surface is close to 90%, a distortion amount is less than 0.4%, a transmission function value at 171p / mm is close to a diffraction limit, a depth of field of the system meets a total height of a stepped mirror, and a design result shows that a maximum change rate of a MTF value of the system does not exceed 1% when imaging is performed by taking different stepped height positions on an object plane. The system realizes 100% matching of a cold diaphragm without vignetting.

The invention discloses a photoelectric sensing device and electronic equipment. The photoelectric sensing device comprises a semiconductor substrate, wherein the semiconductor substrate comprises a first surface and a second surface opposite to the first surface; a plurality of light sensitive pixels are formed on the first surface of the semiconductor substrate; a plurality of through holes which pass through the semiconductor substrate toward the first surface are formed on the second surface of the semiconductor substrate; and the through holes correspond to the light sensitive pixels. Theelectronic equipment comprises the photoelectric sensing device.

The present invention provides a novel unmanned mobile platform. The platform comprises a platform main body, the front end of the platform main body is provided with infrared high-definition cameras and an ultrasonic distance measurement sensor, radar detectors are installed at the side surface and the back surface of the platform main body, and tires are connected with a tire automatic correction system; the platform main body is internally provided with a remote control system, the remote control system comprises a platform control host and a communication server, a data server and a plurality of remote control computers located at a monitoring center, the remote control computers are externally connected with a steering wheel, a USB handle, an accelerator and a brake pedal to perform remote control of the platform; and the infrared high-definition camera and the platform control host are connected with the monitoring center through a wireless communication mode to return video data and the state information of the platform back to the monitoring center and transmit the platform control data issued by the monitoring center to the platform control host. The novel unmanned mobile platform is simple in structure, can perform accurate remote operation and control, can automatically straighten tires and is more convenient to use.

The invention relates to a laser ranging method and system for eliminating double-optical-comb frequency spectrum aliasing, and the system comprises a first optical comb, a signal optical pulse emitted by the first optical comb passes through a first spectroscope, one beam of light enters a reference mirror, the other beam of light enters a measurement mirror, and the reference mirror and the light reflected by the measurement mirror are emitted to a second spectroscope through the first spectroscope; a second optical comb which emits a local oscillation light pulse to enter the second spectroscope and interferes with the light emitted by the first spectroscope; a first band-pass filter which is used for acquiring a frequency component of a part of light emitted by the second spectroscopein a certain frequency range; a second band-pass filter which is used for acquiring a frequency component of the other part of light emitted by the second spectroscope in another frequency range; anda signal processor which is used for processing the acquired frequency component signal to complete distance measurement.

The invention discloses a long-wave infrared Fourier transform imaging spectrometer athermalization relay imaging system, relates to the technical field of spectral imaging, and solves the defect of poor athermalization of the existing long-wave infrared optical system. The front surface of a first lens is a cylindrical mirror, a second lens is a refractive-diffractive hybrid lens, the front surface is a binary surface, the rear surface of a fifth lens is an even aspheric surface, and a beam splitter and a compensation plate are parallel flat plates. The beam splitter and the compensation plate are both made of zinc selenide, the first lens is a convex lens with positive diopter and is made of zinc selenide, the second lens is a convex lens with positive diopter and is made of germanium, the third lens and the fifth lens are convex lenses with positive diopter and are both made of zinc selenide, and the fourth lens is a concave lens with negative diopter. The relative illuminance of the edge of the image plane is greater than 85%, the distortion is less than 0.4%, the transmission value at the 171p / mm position is close to the diffraction limit, the depth of field of the system meets the total height of the stepped micro-reflector, and the maximum change rate of the MTF value of the system does not exceed 1.5% when different stepped height positions are taken as the object planefor imaging.

The embodiment of the invention provides a volume holographic optical waveguide, a manufacturing method thereof and a color volume holographic optical waveguide. The method comprises the following steps of: providing a holographic plate, a prism and plate glass; arranging a first side of the holographic plate on a first surface of the prism; arranging a second side of the holographic plate on a first surface of the plate glass; arranging the first surface of the prism, the holographic plate and the plate glass in an attached mode through refractive index matching liquid, or filling the space among the first surface of the prism, the holographic plate and the plate glass with the refractive index matching liquid; and performing primary exposure on the holographic plate through multiple beams of laser. According to the manufacturing method, when the volume holographic optical waveguide is used, a manufactured coupling-in grating, coupling-out grating and turning grating are all reflection-type volume holographic gratings, it can be avoided that multiple composite gratings are overlapped in needed gratings subsequently, and the field angle size and field brightness uniformity of the volume holographic optical waveguide are improved.

The invention relates to mask slurry and a preparation method thereof, and belongs to the technical field of chemical materials. The mask slurry comprises the following components (by mass): 1%-12% ofsolid resin, 20%-60% of an organic solvent, 30%-70% of inorganic powder A, 0%-40% of inorganic powder B and 0%-5% of a pigment. In a mask slurry system, the dosage, the particle size and the morphology of the inorganic powder A are limited; meanwhile, compounding with solid resin, an organic solvent, inorganic powder B and a pigment, the inorganic powder A can form hydrogen bonds with the polar solvent and the resin so as to form a cross-linked network structure, so that the mask slurry has good printing performance, washing performance, dry film adhesive force and volatile performance and excellent thixotropic performance under the condition that an organic thixotropic agent is not added.

The invention discloses a wind power plant short-term wind speed prediction method based on spatial-temporal correlation, and the method comprises the steps: firstly obtaining the spatial-temporal data of the wind speed of a target station based on VMD and a hybrid deep learning model CNN-Attention-LSTM, carrying out the data cleaning, and carrying out the VMD decomposition, and obtaining a stable IMF (intrinsic mode function) component; further, aiming at each IMF component, applying a CNN model of a bottom layer to extract airspace features of the wind speed; extracting wind speed time domain features by applying an item layer LSTM model, obtaining a prediction result of each component, and fusing a channel attention mechanism at the same time; and finally combining to obtain a final predicted wind speed. According to the method, the spatial-temporal correlation of the wind speed is fully utilized, the VMD and CNN-Attention-LSTM networks are combined, the unstable characteristic of the original wind speed is improved, the wind speed prediction precision is effectively improved, the dispatching performance of a power grid comprising a wind power plant can be optimized, and reliable and economical operation of a power system is guaranteed.