188results about How to "Strong resolution" patented technology

The invention discloses a dynamic positioning method and device based on UWB and laser ranging combination and belongs to dynamic positioning methods and devices. The dynamic positioning device comprises an ultra-wide band (UWB) wireless communication sensors, a UWB positioning label, laser ranging sensors, an upper computer and a POE interchanger. An ultra-wide band (UWB) wireless communication sensor station is arranged in an area to be detected, the laser ranging sensors are installed on and fixed to the ultra-wide band (UWB) wireless communication sensors, the UWB positioning label is fixed to a target to be detected, and the ultra-wide band (UWB) wireless communication sensors and the laser ranging sensors are connected with the upper computer through the POE interchanger. According to the dynamic positioning method and device based on the UWB and laser ranging combination, the laser ranging sensors are arranged on the ultra-wide band (UWB) wireless communication sensors respectively, so that the relative distance between every two adjacent ultra-wide band (UWB) wireless communication sensors is obtained, in this way, the coordinates of the ultra-wide band (UWB) wireless communication sensors can be re-determined or corrected after the ultra-wide band (UWB) wireless communication sensors are moved, and thus the requirement for dynamic positioning is met. The dynamic positioning method and device based on the UWB and laser ranging combination have the advantages that the dynamic positioning method based on the UWB and laser ranging combination is adopted, positioning is accurate, safety and reliability are guaranteed, installation is easy, and operation is convenient.

The invention discloses a face detection method and device adopting a cascade classifier, relating to the field of video monitoring. The face detection method comprises the following step of: carrying out face detection on rectangular windows with different positions and sizes in a current image to be detected by adopting a light type cascade-structure classifier to detect face windows, wherein each level of the light type cascade-structure classifier is a weak classifier. For a large quantity of windows to be detected in one image, relative to a scheme that a cascade-structure classifier is bound to eliminate partial non-faces after computing the results of all weak classifiers of a strong classifier, each weak classifier of the light type cascade-structure classifier can eliminate the partial non-faces, and therefore faster detection speed can be achieved, and the real-time detection of faces is further realized on megapixel high-definition videos.

The invention relates to an answer sheet identification method, which comprises the following steps: dynamically filtering and obtaining a colorful image of an answer sheet; carrying out gray processing to the image; judging whether a gray image is the processing of a "black" image; carrying out local threshold value binarization processing; looking up to process a convex quadrangle on a binary image, wherein the convex quadrangle has a maximum area and is more than a certain threshold value, and four inner corners of the convex quadrangle are similar to straight angles; carrying out inclination and perspective distortion correction processing; intercepting a rectangular area, and carrying out normalized image processing; identifying student numbers; identifying test paper numbers; and identifying answers. Due to the portability of a mobile terminal, a research that a mobile terminal camera is used for scanning an answer sheet and a relevant algorithm is used for identifying becomes very meaningful, the working efficiency of a teacher can be obviously improved, and the answer sheet identification method is helpful for teaching work. The answer sheet identification method also can be used for reference into the identification statistical processing of information cards, such as questionnaires, votes and the like, and has a wide application value.

The embodiment of the invention discloses an object recognition method and device, a data processing device and terminal equipment. The method comprises the following steps: receiving an image; performing key point localization on an object in the image to obtain a plurality of key points of the object, and acquiring position information of each of the plurality of key points, wherein the position information includes position coordinates and visibility states; extracting a global feature of the object from the image, and extracting local features of the object from the positions of the key points respectively; and performing object recognition according to the global feature of the object and the local features extracted from the positions of the key points to obtain a recognition result of the object. Through adoption of the object recognition method and device, the object recognition effect can be improved.

The invention discloses a laser barcode reading device and a barcode reading method. The reading device comprises a blue light laser, a deflecting mirror, a swingable reflecting mirror, an optical collector, a light filter, a photoelectric receiver, an amplification processing circuit, a processor connected with the amplification processing circuit and controlling the blue light laser, and a power module. The reading method comprises the following steps of: receiving scanning optical signals; performing analog digital conversion and acquisition of the scanning optical signals; performing fast Fourier transform; removing high-frequency component; performing fourier inversion; calculating a threshold by using an Otsu method; performing binaryzation on barcode signals according to the threshold; and decoding according to various barcode standards. The laser barcode reading device has the advantages of reasonable design, simple and convenient operation, low input cost and good using effect and adopts the brand-new blue laser scanning source to scan one-dimensional barcodes; and the invention also provides a barcode reading method with high recognition performance, strong resolution and high recognition precision so as to simplify an electronic hardware part of the barcode reading device.

The invention relates to a double-energy X-ray spiral CT system for detecting liquid safety, which comprises a detecting device consisting of an X-ray source, a rotary table, a detector or an interlayer detector and a data acquisition unit, and a control part consisting of a microprocessor and a controller, wherein the front end of the detecting device is provided with the X-ray source; the X-raysource is the switchable high-voltage X-ray source or the fixed high-voltage X-ray source; the middle part of the detecting device is provided with the spiral lifting rotary table used for placing a detected liquid; the rear side of the spiral lifting rotary table is provided with the detector or the interlayer detector; the data acquisition unit is connected with the detector or the interlayer detector; the control part comprises the microprocessor and the controller connected with the microprocessor; the controller is connected with the X-ray source and the spiral lifting rotary table; and the microprocessor is connected with the data acquisition unit. The method comprises irradiation, detection, acquisition, comparison, and obtaining a detection result. The system can detect liquid density and equivalent atomic number and ensures to accurately judge liquid property.

The invention relates to a method for realizing oil-gas detection by applying a long-offset distance transient electromagnetic array method. The method comprises the following steps: firstly, carrying out ATEM (analytical transmission electron microscopy) observation on a detection region to acquire data; selecting measuring points without obvious distortion or negative anomaly of electric field components while an induced polarization field is not stripped, utilizing the ATEM data for inversion, and acquiring a high-resolution lamellar specific resistance model in a detection region; then carrying out ATEM forward operation to obtain transient induced electric field or magnetic field attenuation curves of all the measuring points in the detection region; substracting the electric field or magnetic field component attenuation curve acquired during forward operation by the actually observed ATEM electric field or magnetic field component attenuation curve at the same observation time point to obtain a time domain induced polarization spectrum; applying a time domain induced polarization method for inversion to obtain the polarizability of an underground medium; and carrying out detection and evaluation on an oil-gas reservoir by utilizing the specific resistance and polarizability parameters. According to the invention, the accuracy and reliability of exploration on the oil-gasreservoir by utilizing an electromagnetic method are greatly enhanced, the working efficiency is improved, and the exploration cost is lowered.

The invention relates to a cross-checkpost pedestrian identification system and method based on dynamic obvious feature selection. The system comprises a city checkpost video acquisition module, a pedestrian detection and tracking module, a multi-feature extraction module, a feature excavation module, an obvious feature selection module and a pedestrian identification module. The invention also relates to a cross-checkpost pedestrian identification method based on dynamic obvious feature selection. The beneficial effects of the system and method are that feature information can be selected dynamically; the system does not use the mode of directly fusing multiple features, but uses the mode of fusing the multiple features, which have the highest pedestrian identification discrimination, found by carrying out feature uniqueness degree analysis and processing on various feature information, and thus the problem of unreliable identification of pedestrians by utilizing a single feature is solved; and through the system, redundancy feature information of pedestrian identification is removed, and the features having the highest pedestrian identification discrimination are found, and thus robustness of pedestrian identification is improved.

The invention discloses an integrated dielectric representing device of micro-nano biological particles and with multiple modes, which comprises a dielectric representing chip (100), a machine visual device (200), a main control system (300), an actuating signal generating device (400), a virtual electrode projector (500) and a micro displacement worktable (600), wherein, the dielectric representing chip (100) is positioned on the micro displacement worktable (600) and between the machine visual device (200) and the virtual electrode projector (500) in the vertical direction; the machine visual device (200) comprises an elevating table (230) that is controlled by the main control system (300); the main control system (300) obtains data from the machine visual device (200), and simultaneously sends a command signal to the actuating signal generating device (400) and the virtual electrode projector (500). The integrated dielectric representing device of micro-nano biological particles and with multiple modes integrates a light-mode virtual electrode and a spiral body electrode array, and by collecting a particle movement image in real time and detecting the particle suspension height with automatic focusing, the method can all-roundly and precisely measure a dielectric spectrum under three dielectric electrophoresis modes, and can realize the dielectric characteristic diagnosis of severe diseases, with low cost, high precision and high efficiency.

The invention discloses a method for judging and positioning bridge cable corrosion. The method comprises the following steps of: arranging a sensor on a cable to be detected, acquiring an actual measured signal by using the sensor and reading the signal into a laptop by using a data acquisition card; establishing a fine numerical model for the cable corrosion judgment by adopting the finite element technology according to geometric dimension, material characteristics and excitation signal conditions of the cable, initializing the numerical model, analyzing and calculating to obtain a simulation response signal, and providing a standard comparison signal for the actual measured signal; using the actual measured signal as a judgment signal of the cable corrosion, and comparing the judgment signal and the standard comparison signal and analyzing the judgment signal by adopting a neural network analysis method, if the damage does not exceed a threshold value, judging that the cable is not corroded, otherwise alarming and positioning the corroded part; generating a recording report and recording a local database. The method for judging and positioning the bridge cable corrosion has the advantages of high resolution, high judging precision and no influence on normal use of the cable.

The invention discloses a fiber bragg grating vibration sensing component, which comprises a base part, an end part, a cantilever beam and a fiber bragg grating strain gauge, wherein the end part constitutes a vibration mass block; the cantilever beam is connected between the base part and the end part; the cantilever beam constitutes a vibration amplification arm; two ends of the fiber bragg grating strain gauge are fixed on the base part and the end part respectively; and the fiber bragg grating strain gauge is used for detecting the strain of the cantilever beam. The invention also relates to a fiber bragg grating vibration sensing device, a vibration measuring system and method.

Disclosed is a high sensitivity ultrasonic probe comprising a connecting head (1), a shell (2), a damping block (3), a cable line (4), a diode (5), an acoustic lens (6) and a cable line (7); the probe is characterized in that: the high sensitivity ultrasonic probe comprises two to twenty elements (8) that can transmit and receive supersonic waves; wherein: the connecting head (1) is fixedly connected with the shell (2), the damping block (3) is fixedly arranged inside the shell (2), the cable line (4) is connected with the diode (5) and disposed inside the shell (2), and the acoustic lens (6) is arranged under the elements (8) that can transmit and receive supersonic waves. The ultrasonic probe has the advantages of: high sensitivity in defect detection, high signal-noise ratio, strong resolving power to adjacent defects, small non-detection zone, being easy in accurate positioning to defects and accurate measurement of sizes of defects, and good directivity.

The invention relates to a ground controllable source magnetotelluric method based on an axial collinear manner. Through changing a distribution manner of a receiving system, the receiving system is axially distributed along a transmitting system; through measuring horizontal electric field intensities Ex of all receiving points axially distributed, an apparent resistivity is figured out. Compared with the prior art, the ground controllable source magnetotelluric method has the advantages of being sensitive in reflection of information of an underground high-resistance body and stronger in resolution capability of underground electrical resistivity by adopting a manner of arranging the transmitting system and the receiving system axially and collinearly, being capable of more clearly reflecting details of geologic body spatial distribution, being sensitive in reflection of deep-part electrical-property change and strong in resolution capability, and reducing the measurement of a magnetic field component Hy in a vertical direction by only measuring an electric field component Ex in a horizontal direction to ensure that the measurement process is simpler and more convenient and the introduction of noise is reduced so that the signal to noise ratio is favorably increased. A factor of influence of airwaves is calculated in a data processing flow, and is removed from a received signal, thus the signal to noise ratio and the confidence level of a measurement result are improved.

The invention discloses an electromagnetic interference monitoring and identification method for a power LTE wireless private network. The method comprises two processes: spectrum monitoring and interference identification. The spectrum monitoring comprises the steps: employing a scanning heterodyne type frequency spectrum monitoring design at a high frequency band; through multi-stage frequency conversion processing, converting an input signal to a lower intermediate frequency, and then adopting a Fourier spectrum monitoring design at a middle frequency band to perform A/D sampling quantification on the signal which is converted to the intermediate frequency, converting the signal into a digital signal, and then employing a digital intermediate frequency technology and Fourier transform to complete spectrum monitoring. The interference source identification process comprises the following steps: firstly, performing preprocessing, feature extraction and feature selection on acquired data, learning a relationship between acquired signal features and an interference source by utilizing a machine learning algorithm to obtain a classification model based on interference source identification, extracting features from a test signal, and identifying a result by adopting the obtained classification model. According to the invention, frequency spectrum monitoring and interference identification functions of the electromagnetic frequency spectrum can be tightly combined according to the requirements of a power system, and the method is suitable for a 1.8 GLTE wireless private network.

A magnetic source ground-tunnel transient electromagnetic advanced detection method can be applied to underground coal mining. Steps of the method are as follows: a coordinate and a dimension of a large loop coil trasnmitted by a magnetic source are determined, and the large loop coil is laid on the ground of a to-be-detected area; quartz clock synchronization is performed on a transmitting machine and a receiving machine; a plurality of receiving probes are arranged in a tunnel until tunnel detection ends; a step current is supplied to a transmitting coil, a secondary eddy current field is inducted under the ground, and the receiving probes receive a signal of the secondary field; the above steps are repeated, receiving probes are arranged along the tunnel according to the same distance, and each receiving probe increases, all the receiving probes perform detection once again until tunneling is completed; and data detected by the receiving probes are made into related drawings, an abnormal response area is obtained through a comparison with preset information, and a front water inrush range is determined. The method has the advantages of high construction efficiency and high expandability, the method adopts large loop emission observation and has best coupling with a detection target, and the method also has the advantages of high detection performance and a high resolution capability.

The invention relates to an auxiliary assessment method for prognosis of nasopharynx cancer based on enhanced MRI radiomics. The auxiliary assessment method comprises the steps of: (1), performing MRIimage processing; (2), extracting imaging features; (3), screening the imaging features; (4), establishing a radiomics scoring formula; (5), screening clinical risk factors; and (6), establishing a prognostic survival model: establishing a prognostic observation model through combination of a radiomics score and the clinical risk factors of a patient with nasopharynx cancer, performing qualitative and quantitative prediction on the PFS (progression free survival) of the patient, and furthermore, assessing the performance of the prognostic survival model. The auxiliary assessment method in theinvention has little harm to the image examination of the patient; qualitative and quantitative analysis on the survival time of a specific patient is carried out; therefore, a doctor is assisted tomake an individualized treatment and follow-up visit scheme; furthermore, the doctor is assisted to assess the survival and recurrence time of the patient; simultaneously, the performance of the obtained prognostic survival model is verified; and thus, the accuracy of a prognostic prediction model is ensured.

A high-power density laser sputtering ionization flying time mass spectrometer and the application thereof relate to a mass spectrometer. A high-power density laser sputtering ionization flying time mass spectrometer and the application thereof are provided. The high-power density laser sputtering ionization flying time mass spectrometer is provided with a vacuum chamber, a laser source, a laser-focusing lens, a sampling cone, an ion transmission device, an interception cone and a flying time mass analyzer; the laser source and the laser-focusing lens are arranged outside the vacuum chamber; besides, the sampling cone, the ion transmission device, the interception cone and the flying time mass analyzer are sequentially arranged in the vacuum chamber. The vacuum chamber is provided with a third-level vacuum chamber; a first-level vacuum chamber is arranged in front of the sampling cone; a second-level vacuum chamber is arranged between the sampling cone and the interception cone; and the third-level vacuum chamber is arranged behind the interception cone. Through the collision with the auxiliary gas molecules (atoms) in the ion source, the kinetic energy of the sample irons is reduced to facilitate sampling and transmission; the multivalent ions lose valences and are converted into polyvalent ions to remove the interference peak of multivalent ions, so that the spectrum is clear and easy to read and has strong distinguishing ability.

The invention relates to a lamp house and light sensor which are arranged with a single circuit board, and the code reading speed is quick, the identification performance is high, strong resolution and high precision, it has a bar code scanner capable of quickly long distance reading code. The bar code scanner includes a printed circuit board, there is a semiconductor laser diode power source on the circuit board, a scanning light reflection guide device, a light swing reflector and a light sensor, pendulum driving coil and a set of signal control and process circuit, the light from the laser diode is guided to the pendulum reflecting mirror through the small mirror on the light collector and forms parallel scanning beam with time difference, and it scans the object bar code on the front end of the circuit board and forms light rebounding signal, and the signal is concentrated onto the light sensor through the collector in order to be checked, then a demodulating amplification filter circuit processes the signal acquired by the light sensor into correspondent bar code signal.

The invention discloses a radar device used for real-time detection of a road structure layer thickness. The device includes a trolley. A data acquisition unit, a data processing unit and a distance sensor are installed on the trolley, wherein the data acquisition unit is controlled by the data processing unit; and the data acquisition unit includes a radar control module, a wireless module and a power supply module. The invention also discloses a method used for real-time detection of the road structure layer thickness. The radar device is high in universality, convenient to carry and capable of offering layer thickness data in a real-time manner without follow-up processing. The method not only has a plurality of advantages of high distinguishing capability, high detection precision, high detection depth and convenient operation and the like, but also realizes change from manual explanation to software automatic explanation, and from postprocessing to real-time processing of radar data through special-purpose real-time road structure layer thickness detection software.

The invention relates to a leakage sound emission signal identification method based on a multi-scale morphological decomposition energy spectrum entropy and a support vector machine and belongs to the sound emission signal mode identification field. In the invention, firstly, a digital sound emission system is used to carry out experiment data acquisition, multi-scale morphological decomposition is performed on collected simulated leakage sound emission signals, spectrum energy on different scales is calculated respectively and an power spectrum entropy value is calculated; and then, a proportion of each scale in the power spectrum entropy is calculated so as to form a characteristic vector; and finally, the support vector machine is used to train and test the characteristic vector. By using the method, knocking, abrasive paper and lead breaking signals can be simultaneously distinguished, an identification correct rate is high and automatic classification can be realized. Through calculating a multi-scale decomposition power spectrum entropy value of a sound emission signal and calculating the proportion of each scale in the power spectrum entropy, sound emission signal state information can be well reflected and the state information can be taken as the characteristic vector of the sound emission signal.

The invention relates to a multi-resolution singular-spectrum entropy and SVM based leakage acoustic emission signal identification method, and belongs to the technical field of acoustic emission signal mode identification. The method comprises the steps of firstly, performing experimental data acquisition by adopting a digital acoustic emission system to acquire three simulated acoustic emission signals of knocking, abrasive paper and lead breaking; secondly, performing wavelet multi-scale decomposition on the acquired acoustic emission signals; thirdly, calculating singular-spectrum entropies of all layers and combining the singular-spectrum entropies into an eigenvector; and finally, dividing the eigenvector into a training set and a test set, wherein the training set is used for training to obtain SVM classifier parameters, and the trained classifier is used to perform classification testing on the test set, so that different acoustic emission signals can be identified by classification. According to the method, features of various samples can be well described by adopting a feature extraction method combining the wavelet multi-scale decomposition with the multi-resolution singular-spectrum entropy, and the identification method adopting the SVM has higher identification rate for the acoustic emission signals.

The invention relates to a method and an instrument for checking positioning leaking of underground pipe lines. The invention has the functions of positioning pipe line, hunting leakage and monitoring leakage. The invention can complete leaking point pre-positioning and leaking point accurate positioning in one checking without knowing the pipe diameter of pipe. The invention has the advantages of having multi functions and of having high reliability.

The invention discloses a defect detection system for an extreme ultraviolet lithography mask. The defect detection system for the extreme ultraviolet lithography mask comprises an extreme ultraviolet light source, an extreme ultraviolet light transmission system (comprising a multilayer plane mirror and a multilayer concave condenser), an extreme ultraviolet lithography mask, a sample scan stage, a photon sieve, a CCD camera, a PC, an vibration isolation platform, a vacuum chamber and a multilayer half-transparent half-reflecting mirror. In the defect detection system for the extreme ultraviolet lithography mask, a conventional Schwarzchild lens is replaced by the photon sieve, so that imaging of the mask by an extreme ultraviolet band is realized, and thus defects on the mask are detected. Due to the fact of replacement of the conventional Schwarzchild lens which is difficult to process, high in cost and large in volume by the photon sieve which has the characteristics of small volume, good workability, low cost and high resolution ratio, the defect detection system for the extreme ultraviolet lithography mask is realized in lower cost, smaller volume and high resolution ratio.

The invention provides an indoor carrier phase positioning model construction method suitable for WiFi. The method comprises the following steps: firstly, extracting CSI (Channel State Information) information and preprocessing the CSI information to obtain a relatively stable carrier phase observation value; then establishing a target signal super-resolution parameter estimation model based on WiFi by utilizing a two-dimensional MUSIC (Multiple Signal Classification) algorithm, and extracting TOA (Time of Arrival) to construct a pseudo-range observation value; secondly, obtaining a pseudo-range and a carrier phase observation value of a direct path based on a positioning receiver and constructing a carrier phase ranging equation; and finally, constructing a TDOA (Time Difference of Arrival) differential positioning model by utilizing the carrier phase ranging equation based on a plurality of positioning receivers. According to the method, the carrier phase positioning model is effectively constructed and a model basis is provided for carrier phase accurate positioning.

The present invention discloses a magnetic field nicking analysis method for extraction of a physical geography magnetic anomaly field boundary. An analysis relation between a magnetic field and a gravitational field is employed, namely a Poisson's equation, to deduce three components of a second-order spectral moment at the surface of the magnetic field to obtain result parameters of magnetic field surface nicking analysis. The method comprises the four steps of: 1, magnetic field component conversion; 2, total magnetic field modulus anomaly [Delta]T total horizontal component module surfacelocal surface element second-order spectral moment; 3, total magnetic field modulus anomaly [Delta]T total horizontal component module surface local surface element invariant statistics; and 4, boundary coefficient extracted from the magnetic field surface. The magnetic field nicking analysis method is employed to perform boundary extraction of the magnetic field to eliminate the false boundary caused by associated anomaly while retaining the high enhancement capacity, resolving power and noise suppression capacity of the gravity nicking analysis for the weak boundary so as to provide more efficient reference information for the interpretation of the geologic structure.