275results about How to "Realize high-precision detection" patented technology

The invention provides a simulation training device for manual arc welding rod-moving operation, and an arc welding rod-moving detection method, which is used for the introduction, improvement and enhancement training of welders in welding rod-moving operation. The device comprises a simulated welding torch, a simulated test plate, an image detection module, a dip-angle sensor, a master control computer and an evaluation system. Through the reasonable choice and layout of sensors and efficient data processing, high-precision detection and evaluation of real-time positions of simulated welding rods operated by the welders are realized. The device can record the arc striking, rod moving, ending and a series of operation of welding students during operation, and allows operation tracks to reappear after the operation is completed so as to improve learning efficiency and learning effects.

The invention discloses a photovoltaic tracking optical angle sensor, consisting of a sensor body structure and a sensor post-stage signal processing circuit. The body structure part mainly comprises a sealing transparent glass shade 1, a top surface horizontal baffle 2, a sensor column side 3, photosensor elements 4, a light transmission slit 5, a facade groove 6 and a bottom surface photosensor element. The post-stage signal processing circuit mainly comprises a top surface photosensor element output signal processing circuit and a bottom surface photosensor element output signal processing circuit. The optical angle sensor adopts two working ways of coarse detection and precise detection. The coarse detection is finished by using four photosensor elements on the top surface which are arranged symmetrically and corresponding electric bridge comparison circuits, and the precise detection is finished by using the slit on the top surface, the photosensor element on the bottom surface and corresponding signal processing circuits. The photovoltaic tracking optical angle sensor can not only have higher tracking precision, but also have wider detection angle range, thereby well adapting to environment of wind-sand and having better capacity of resisting rain and snow.

The invention provides an inversion method for an extinction coefficient of an aerosol based on a Raman-Mie scattering laser radar, comprising the steps of: Step 1: obtaining an echo signal of a Ramanchannel in the Raman-Mie scattering laser radar, and determining an lidar ratio of the aerosol by Ansmann method, that is, obtaining the extinction coefficient and a backscattering coefficient of theaerosol by using Raman method; Step 2: obtaining an echo signal of a Mie channel in the Raman-Mie scattering laser radar, and inverting a distribution profile of the extinction coefficient of the aerosol based on Fernald method; and Step 3: correcting, based on an inversion result of the Raman method in step 1, key parameters required to invert the distribution profile of the extinction coefficient by using the Mie scattering method in step 2, that is, a boundary value of the extinction coefficient of the aerosol, thereby improving the inversion precision of the distribution profile of the extinction coefficient of the Mie scattering channel. According to the inversion method for the extinction coefficient of the aerosol based on the Raman-Mie scattering laser radar provided by the invention, high-precision detection of aerosols is achieved by combining the characteristics of Raman scattering and Mie scattering.

The invention relates to a vehicle object information detection and identification system and a signal processing method thereof. Two lane calibration aided leading marks of are placed in the same lane line, distance and phase information between the two lane calibration aided leading marks and a radar detector is measured and obtained by the radar detector, object detection is carried out on an object vehicle, the distance and speed of the object vehicle are obtained, and a signal processing system resolves lane information according to the distance and phase information of the two lane calibration aided leading marks. According to the invention, vehicle objects of intermediate or long distance can be tracked continuously under the condition that the radar detector is placed at random, the distance, speed and lane information of the vehicle object can be detected in high precision, detection of low false alarm rate and high precision can be realized for the moving vehicle object on the basis that the hardware processing complexity of the system is reduced, interference and clutters can be filtered effectively in complex application, and accurate lane identification is realized for the vehicle objects of intermediate or long distance under the condition that the direction of radar wave beams is not calibrated via professional calibration equipment.

The invention discloses a high-precision vehicle-mounted road grade detection device and method, which are applicable to the field of a car navigation system and smart car electronics. The device is composed of a mastering node and detection nodes, which are hooked on a vehicle-mounted CAN (controller area network) bus. Each detection node comprises a triaxial acceleration sensor, a microcontroller, a power supply and a CAN communication module. The detection method of the device comprises the following steps that: a dip angle of each detection node relative to a reference plane, namely a surface water plane, is calculated by the output value of the corresponding triaxial acceleration sensor and transmitted to the mastering node by the CAN bus; the mastering node acquires detection node data through polling and performs fusion processes including careless error elimination, least squares fit and Kalman filtering on the acquired data to obtain an optimal estimate value of the grade of a road on which a vehicle runs. According to the invention, the triaxial digital acceleration sensor is used to calculate the dip angle, and the fusion processes are performed on the data of the multiple sensors, so that the precision of the vehicle-mounted road grade detection can be improved to 0.5 degree.

The invention belongs to the optical wavefront measuring technology field and discloses an integration measuring method of wavefront distortion and optical axis vibration of a space camera. According to the method, through improvement and optimized design of a related Hartmann-Shack wavefront sensing method at system formation and a usage mode, the wavefront distortion with a high spatial resolution characteristic can be measured and the optical axis vibration with a high frequency characteristic also can be measured, and integration of wavefront distortion measurement and optical axis vibration measurement of the space camera is realized. The improvement and optimized design mainly comprise that: an image detector with a block read out function is employed, thus raising frame frequency is facilitated in optical axis vibration measurement, employing different reference subimages is facilitated in wavefront distortion measurement and optical axis vibration measurement, and optimization of an array lens focal length is facilitated to satisfy an optical axis vibration detection precision requirement. The method can be used for solving a wavefront distortion and optical axis vibration error sensing problem of the space camera, and can be used for real-time or subsequent compensation to raise system imaging quality.

The invention relates to an image processing device, an image processing method and a program. The image processing device includes a data conversion processing unit that receives an input of an RGBW array image and generates an RGB array image as an output image. The data conversion processing unit includes a pixel interpolation unit that calculates interpolated pixel values corresponding to an array of the RGB array image by performing a pixel interpolation process on the RGBW array image, a purple fringe detection unit that detects whether each pixel is a purple fringe pixel by analyzing the RGBW array image, a corrected value calculation unit that calculates corrected pixel values by correcting pixel values of the purple fringe pixels, and a blend processing unit that calculates constituent pixel values RGB of the output image by performing a blend process of blending the interpolated pixel values calculated by the pixel interpolation unit with the corrected pixel values calculated by the corrected value calculation unit.

The invention relates to an infrared radiation illumination measuring instrument and a method using the measuring instrument to measuring infrared radiation illumination, belonging to the field of optics, and solving the problems of inaccurate and unreasonable calibration, large error, low precision of detecting weak signals, large size and inconvenience in carrying existing in the current radiation illumination measuring instrument. In the infrared radiation illumination measuring instrument, incident parallel light beams are focused through a main objective lens, and output light beams are modulated through a modulation disc to a first relay lens, a light filter, an attenuation slice group and a second relay lens and is then incident onto the photosurface of a photoelectric detector. The photoelectric detector outputs an electrical signal, the electrical signal is amplified and carries out phase locking and AD (Analog to Digital) conversion, and a voltage signal is output to a computer. The rotational speed of a modulation disc motor is controlled, and a driving circuit controls the modulation of the modulation disc and controls the phase locking of a lock-in amplifier. The measuring instrument uses a standard blackbody to carry out calibration to obtain the relationship between the voltage signal and the infrared radiation illumination, and the measurement to the infrared radiation illumination of an infrared target simulator is realized.

The invention discloses a mixed compensating type sub-aperture spliced surface shape detection method. During the sub-aperture spliced surface shape detection process, the area of the single sub-aperture measurement is enlarged on the premise that a small CGH compensator is adopted. Therefore, the number of required sub-apertures is effectively reduced. The error transmission is reduced, and the number of the required compensators is reduced at the same time. The sub-aperture splicing detection means is combined with the mixed compensation means of a lens and a CGH compensator, so that the usage constraint of the adopted CGH compensator within a single compensation detection region, namely a sub-aperture range, can be avoided. The number of sub-apertures required by the convex aspheric surface of the same specification is reduced. As a result, the time cost needed by optical element adjustment and subsequent splicing calculation is reduced. Meanwhile, the number of required CGH compensators is reduced. The detection economic cost is reduced. The transmission and the accumulation of splicing errors are reduced, and the detection precision is improved.

The invention provides an online sub-pixel optical component damage detection method based on radiation calibration, which relates to the field of online optical component detection, and in particular relates to a quick online detection method of a large-caliber optical component of a large optical system. The online detection method can solve the problem that the high-precision size of a damage in an online detection picture cannot be acquired by an existing online detection method, and comprises the following steps: 1, establishing a sample set; 2, estimating the probability epsilon of a non-outlier of the sample set; 3, randomly extracting M groups of small samples from the sample set D; 4, establishing a series of LSSVM (least squares support vector machine) regression models f(W1),..., f(Wm),..., f(WM) by a cross validation method; and 5, selecting a proper error evaluation function Z(x) through the sample set D to verify the regression models f(W1),..., f(Wm),..., f(WM) one by one, thus acquiring the high-precision sub-pixel size of the whole damage area. The method can be applied to the field of online optical component detection.

The invention relates to an on-line vehicle bearing fault detection device, and in particular relates to an optical fiber on-line vehicle bearing fault detection device, aiming at solving the problems that an existing vehicle bearing fault detection device is easily interfered by vehicle equipment such as a motor as well as communication signals of a power grid, and real-time health monitoring accuracy of a heavy rail is low. The optical fiber on-line vehicle bearing fault detection device comprises a sensor, an analog to digital (A/ D) converter, a signal processing system, a photoelectric detector, a broadband light source, a wavelength division multiplexer, a coupling, a scanning interferometer and a signal generator, wherein the output end of the sensor is communicated with the input end of the wavelength division multiplexer; the broadband light source is communicated with the input end of the wavelength division multiplexer; the wavelength division multiplexer is communicated with one signal end of the coupling; the coupling is communicated with the scanning interferometer; the signal generator is communicated with the scanning interferometer; thr signal output end of the coupling is communicated with the photoelectric detector; the photoelectric detector is communicated with the A/ D converter; and the output end of the A/ D converter is communicated with the signal processing system. The device is used for detecting the fault of an on-line vehicle bearing.

The invention discloses a device and a method for detecting reference spherical wave deviation in a visible point diffraction interferometer and belongs to the field of reference spherical wave ultra-high precision detection methods. The limitation of a Hartmann wavefront sensor on wavefront micro-deviation detection is overcome so that the wavefront high-precision detection can be realized. A light path comprises an incidence convergent light wave, a grating, a small pore plate with three circular holes along an orthogonal direction and a charge coupled device. The output end of the charge coupled device is connected to a computer. After being diffracted through the grating, the incidence convergent light wave is divided into a plurality of diffraction orders; +/-1 order of diffraction light respectively passes through two small holes; after the light is diffracted by the small holes, approximately ideal spherical waves are generated; two spherical waves are subjected to shear interference; an interference image is recorded on a CCD (Charge Coupled Device) detector; and after the interference image is collected, the diffraction wavefront deviation can be obtained. According to the device and method disclosed by the invention, the diffraction wavefront high-precision detection is realized by performing the shear interface of the spherical waves generated through double-hole diffraction in a visible light band.

The invention discloses a distributive optical fiber vibration sensing system based on the wave division multiplex technology, which comprises a vibration position detector and a vibration frequency detector. According to the invention, the vibration position detector and the vibration frequency detector share a long-distance sensing optical fiber by a special structure. The distributive optical fiber vibration sensing system has the beneficial technical effects that under the condition of simultaneously obtaining the vibration position signal and vibration frequency signal, the length of the long-distance sensing optical fiber required to be arranged is greatly shortened, and the system cost is saved; and based on the mature wave division multiplex technology, the accuracy of two optical signal is guaranteed, so that the system can realize high-precision detection on the vibration position signal and the vibration frequency signal.

The invention discloses an interharmonic detection method for eliminating interference caused by fundamental waves and harmonic waves to interharmonic detection. The method comprises the following steps: establishing an electric power system model, when detected signals of an electric power system only have fundamental wave and harmonic wave components, performing truncation analysis on continuous signals through a method of adding rectangular windows of M fundamental wave periods, and obtaining parameters of interharnomic waves; when the detected signals of the electric power system only include a combination of the fundamental waves, the harmonic waves and interharnomic waves with a single frequency, taking values of a frequency spectrum graph from endpoints of sidelobes, for reflecting frequency spectrum features of the inerharnomic waves; and when the fundamental waves, the harmonic waves and multiple interharmonic waves exist in the detected signals of the electric power system, constructing a new function by use of features of the frequency spectrum graph and the feature that the attenuation speeds of main lobes are faster relative to adjacent sidelobes and are successively mitigated downwards so as to enable the attention speeds to be faster. The method has the advantages of convenient realization, simple analysis and high precision and is an accurate and practical harmonic analysis algorithm. An effective method is provided for harmonic detection and analysis in the electric power system.

The invention discloses a wave aberration measuring device and a wave aberration measuring method of an optical system. The device comprises a linear polarization plane wave producing source, a 1/2 wave plate, a polarization splitting prism, a 1/4 wave plate, a reflection unit and an HS (Shack-Hartmann) wave-front sensor, wherein the linear polarization plane wave producing source is used for generating a linear polarization plane wave; the 1/2 wave plate is used for converting the linear polarization plane wave to be an s polarization plane wave; the polarization splitting prism is used for reflecting the s polarization plane wave transmitted by the 1/2 wave plate to be 1/4 wave plate, and transmitting p polarized light transmitted by the 1/4 wave plate, and converting a circular polarization plane wave of the reflecting device to be a p polarization plane wave; the reflecting device is used for returning a circular polarization plane of the 1/4 wave plate along the same route; and the HS wave-front sensor is used for measuring the wave aberration of the p polarized light entering the HS wave-front sensor. The wave aberration measuring device is capable of realizing the high-precision detection of various complicate optical systems.

The invention provides a control device, a detection method, an air conditioner system and a readable storage medium. The control device includes a shell, control circuit board, a first temperature sensor, and a second temperature sensor, wherein the shell is provided with an air hole; the control circuit board is installed in the shell; a controller is arranged on the control circuit board; the first temperature sensor is electrically connected with the controller; the first temperature sensor is far away from a heating element on the control circuit board and is installed at the air hole inthe shell; the first temperature sensor is used to collect the first temperature; the second temperature sensor is electrically connected with the controller; the second temperature sensor is installed in the shell and away from the heating element; and the second temperature sensor is used to collect the second temperature, wherein the controller is used to perform compensation operation on the first temperature according to the second temperature so as to determine the temperature value after compensation as the ambient temperature of the air conditioner control device. According to the technical scheme, the air conditioner control device obtained can achieve a high precision ambient temperature detection function without changing the appearance of the control device.

The invention discloses a signal detection sensing structure and a manufacturing method thereof, and a signal detection method. The signal detection sensing structure comprises a first piezoelectric electret layer, a second piezoelectric electret layer and a bonding layer located between the first piezoelectric electret layer and the second piezoelectric electret layer. One side surface of the first piezoelectric electret layer, which is far away from the second piezoelectric electret layer, comprises a plurality of embossment structures. One side surface of the second piezoelectric electret layer, which is close to the first piezoelectric electret layer, is a smooth surface. The first piezoelectric electret layer is used for detecting a contact signal and/or a slide signal of a touch object. The second piezoelectric electret layer is used for detecting a contact signal of the touch object. Through a lamination structure of the first piezoelectric electret layer and the second piezoelectric electret layer, a single sensing unit can simultaneously detect the contact signal and the slide signal. By using the signal detection sensing structure, the structure is simple; sensitivity is high; there is no pyroelectric effect; in a work temperature range, the structure is not influenced by temperature changes; and high precision detection of the contact signal and the slide signal can be realized.

The invention provides a human face recognition method and a human face recognition system. The method comprises steps: features of all control points of a to-be-recognized image are extracted; with the control points as bifurcation points, features of a preset number of control points are extracted to form a decision tree with a preset depth; features of the decision tree are classified, and multiple human face rectangular images in the to-be-recognized image are acquired; the obtained multiple human face rectangular images are further zoomed to a uniformed size, and grey-scale images for the human face rectangular images are obtained; the grey-scale images for the human face rectangular images are inputted to a DCNN network well trained in advance, and human face features with preset dimensions are extracted; and comparison and recognition are carried out on the obtained human face features and human face data in a preset database. The problem of insufficient computing resources when the traditional high-precision human face recognition technology is applied to a mobile platform can be solved, smooth operation can still be realized in a condition of a low-frequency CPU and a small memory of an embedded system, and the human face recognition precision can be ensured.

The invention discloses a tool wear state detection method for industrial unbalanced data. The method comprises the steps of: preprocessing the historical monitoring data of the numerically-controlledmachine tool cutter obtained by the sensor to form source training data with the cutter wear state label; carrying out the same preprocessing of the historical monitoring data of the to-be-detected tool, and forming auxiliary training data together with a few types of data obtained through the oversampling synthesis of the source training data; training a cutter wear state prediction model by using the training data through a transfer learning method; and preprocessing and inputting the real-time sensor data of the to-be-detected cutter into the prediction model, and obtaining the abrasion state of the cutter in real time. According to the method, the balance of the training data is fully ensured, and the distribution consistency of the training data and the test data is fully ensured, sothat the problem of high-precision detection of the tool wear state under the condition of less and unbalanced industrial data volume is solved.

The invention discloses a detection method of illegal additive melamine formaldehyde resin in forage raw materials. According to the detection method, the spectrums of the forage raw materials are collected using a near-infrared spectrometer, and the spectrums are subjected to pre-treatment so as to obtain training samples; and iVISSA method sensitive on classes is adopted for waveband selection. The detection method is capable of realizing effective selection of the characteristic peaks of melamine formaldehyde resin much different from that of the other ingredients, increasing detection efficiency and accuracy. A certain amount of the training samples are selected for model construction. According to a model construction method, Entropy Weight local-Hyperplane k-nearest-neighbor (EWHK) is adopted for reference experiments, so that detection on adulterate products is realized. The detection method is capable of increasing detection accuracy, is rapid in detection, and high in stability.

The invention relates to a joint transform correlator (JTC)-based high-accuracy photoelectric hybrid image motion measurement device, which comprises a laser, a collimating lens, a spatial light modulator (SLM), a Fourier lens, a charge coupled device (CCD) and a digital processing unit, wherein the collimating lens is arranged on a light path of the laser; the SLM is arranged on an emergent light path of the collimating lens; the Fourier lens is arranged on the emergent light path of the SLM; the CCD is used for receiving emergent light rays from the Fourier lens; and the digital processing unit is connected to the output end of the CCD, and is used for performing local discrete Fourier transform calculation in combination with joint transform power spectrum data to obtain up-sampling images of neighborhoods of correlated peaks. In the JTC-based high-accuracy photoelectric hybrid image motion measurement device, only a set of optical Fourier transform device is required, so the volume and cost of the whole detection device are reduced, and the complexity of a system is reduced. In adopted correlated peak detection technology, the high-resolution interpolation data of the correlated peaks can be obtained under the condition of not increasing the amount of calculation, and the high-accuracy detection of dislocation or image motions among the images can be realized.