1278results about How to "Reduce detection error" patented technology

The invention discloses a moving object detection and tracking method. The method comprises the following steps: firstly, obtaining a frame image from a video sequence, converting the image into a gray scale image, and filtering and denoising are performed; then, the moving target region is obtained by using three-frame difference method, and the hole in the difference image is filled by morphological filter closure operation; the pixel points with non-zero gray value in the image after morphological filter closure operation are calculated by optical flow calculation, and the moving target isextracted; then the Kalman filtering algorithm is used to predict the centroid position of the moving object in the current frame image, the predicted value is compared with the centroid position tracked by a Camshift algorithm, and the centroid coordinates of the moving object are determined by the comparison results, and the size and position of the search window are determined when searching the next frame image; the model is updated to get the next frame image, the whole tracking process is repeated, and finally target tracking is achieved. The invention reduces the error of moving targetdetection and tracking, and improves the accuracy.

The invention discloses a traffic state detecting method based on multi-data fusion. On the basis of a clustering algorithm, GPS track segmentation is carried out on taxi GPS data and mobile phone GPSdata respectively based on users to obtain all taxi GPS segmentation tracks and mobile phone GPS segmentation tracks; with the taxi GPS segmentation tracks as training samples, an identification model is constructed and similar taxi GPS segmentation tracks are extracted in the mobile phone GPS segmentation tracks; on the basis of a map matching algorithm, the taxi GPS segmentation tracks and thesimilar taxi GPS segmentation tracks are matched to road sections in an urban road network; with a matching result of the two kinds of tracks, vehicle driving speeds at the corresponding road sectionsare calculated respectively; and according to an evidence theory, the vehicle driving speeds, calculated respectively based on the matching result of the two kinds of tracks, of the road section arefused and the vehicle driving speed of the road section is estimated. Therefore, the urban road traffic state information is detected accurately.

The invention relates to a device and a method for remotely measuring subgrade settlement by utilizing a laser and belongs to the technical field of optical measurement and geometric position measurement. The device of the invention comprises a settlement monitoring pile consisting of a bottom plate (501) and a measuring rod (502), a point light (1), a fixed observation pile (6), a laser measuring unit (2), a measuring signal transmission unit (3), a central processing unit (7) and power supply modules (401 and 402). The method comprises the following steps: the settlement monitoring pile is buried in a point to be measured and the point light is arranged on the settlement monitoring pile, so that the point light and the subgrade of the point to be measured settle synchronously; the point light is imaged through a lens (201) of the laser measuring unit, and an image point A'is positioned on a photoelectric detector (202); and the displacement of the object point of the light can be calculated through the displacement of the image point, that is, the subgrade settlement amount of the point to be measured. The invention has high measurement precision, can implement the settlement measurement in the construction process or after the construction, and the remote settlement measurement of any positions and any depth of a subgrade.

The invention provides a self-learning method and a self-learning device of a hybrid electric vehicle and a clutch of the hybrid electric vehicle, which can automatically finish self-learning of a key position of the clutch so as to simplify an adjusting process. The self-learning method comprises the following steps: judging whether a self-learning condition is met or not; if so, controlling the clutch to be separated and combined; recording positions where the clutch is completely separated, is completely combined and starts to slide and wear, and taking the positions as a complete separation point, a complete combination point and a sliding and wearing point. The self-learning device comprises a position sensor which is in signal connection with a controller, wherein the controller is provided with a judging module for judging whether the self-learning condition is met or not, and controlling the separation and combination of the clutch when the self-learning condition is met, so that the self-learning of the complete separation point, the complete combination point and the sliding and wearing point are realized; the position sensor is used for detecting the position of the clutch and transmitting position information to the controller; the controller is provided with a storage module for storing the position information.

The invention provides a device for detecting wind pressure, which comprises a temperature collecting module (10), a wind turbine module (20), an electric current detecting module (30), a control module (40) and a storage module (50). The invention provides a method for detecting the wind pressure, which comprises the steps of: detecting the environmental temperature of the wind pressure detecting device, the current rotating speed of a wind turbine and the electric current of the wind turbine; carrying out temperature compensation on the electric current of the wind turbine according to the environmental temperature; and judging whether current external wind pressure generates wind obstruction according to the value of the wind turbine electric current subjected to the temperature compensation, a prestored value of the wind turbine electric current being subjected to the temperature compensation and corresponding to the current rotating speed of the wind turbine and rated electric current capacity quantity of the wind pressure corresponding to the current rotating speed of the wind turbine. By means of the device and method for detecting wind pressure, disclosed by the invention, wind pressure detection errors brought by the influence of the environmental temperature on the electric current of the wind turbine can be reduced.

The invention relates to a dark channel experience and minimal image entropy based traffic smog visibility detection method. In an image feature extraction module, dark channel experience processing is carried out on an image I to be detected to obtain a rough estimated value of the air transmittance, a guiding and filtering edge smoothing operator is used to smooth and refine the rough estimated value of the transmittance, and depth information of each pixel point is obtained; in a road area extraction module, a road area is extracted from the image I in an area growth method, and area growth comprises the steps including setting an initial seed point, setting a target growth area, calculating the minimum of adjacent gray scale difference, determining whether a target pixel belongs to the road area and updating the seed point; and in a visibility estimation module, the minimal image entropy of the area is calculated, an optimal value of the extinction coefficient is obtained, and the smog visibility is estimated effectively. The detection method has the advantages that a target interest area extraction step is added to an image entropy solving process, the computation amount is reduced, and the operation speed and robustness are improved.

The invention provides a method for optimizing laser radar detection atmospheric composition spectral line analysis, through building of an IPDA laser radar equation of hard target reflection, calculation of difference optical thickness of two pulses and CO2 air column mixing rate XCO2 with a weight, single spectral line broadening calculation, absorption cross section calculation, CO2 absorption optical thickness calculation, a weight function profile and a CO2 molecule number density profile, weight function-optimized spectral lines are obtained. The spectral lines obtained by the method have a higher lower-atmosphere weight ratio, and detection is closer to a true value.

The invention discloses an inversion method of micro-pulse differential absorption lidar water vapor spatial and temporal distribution. The inversion method comprises wavelength selection of water vapor detection, calculation and correction of absorption cross sections of water vapor absorption wavelengths and non-absorption wavelengths, and inversion and calibration of water vapor concentrations. An automatic continuous detection device of the micro-pulse differential absorption lidar water vapor spatial and temporal distribution is employed to obtain characteristic backward scattering signals of water vapor absorption in specific spectral lines, the backward scattering signals are subjected to inversion and calibration by a computer utilizing a differential absorption spectrum analysis method, and high-time-resolution, high-spatial-resolution and high-precision water vapor stereo distribution data is obtained.

The invention provides an atmosphere profile inversion method based on a foundation hyperspectral microwave radiometer, and belongs to the technical field of microwave remote sensing. The atmosphere profile inversion method based on the foundation hyperspectral microwave radiometer comprises the following steps of setting system parameters of the foundation hyperspectral microwave radiometer, acquiring background parameters and background field errors, establishing a radiation transfer model, determining atmospheric radiation transmission brightness temperature, and inverting an atmosphere profile by using the iterative process of a variational method. Through the utilization of the atmosphere profile inversion method based on the foundation hyperspectral microwave radiometer, the accurately inverted atmosphere profile can be obtained through the foundation hyperspectral microwave radiometer, and the atmosphere profile inversion method is especially suitable for multi-channel radiometers and detection situations of insufficient prior data, enables a large amount of frequency band information provided by the foundation hyperspectral microwave radiometer to be used completely, and has strong adaptability and small detection errors.

The invention discloses a voltage sag detection method for S-transformation on the basis of time-frequency gathering characteristic criteria. The method includes the first step of obtaining voltage sag disturbance signals to be detected generated in a power distribution network, the second step of conducting analog-digital conversion on an obtained voltage sag disturbance signal model, the third step of conducting optimized selection on gaussian time-frequency window width adjustment parameters in an improved S-transformation method according to time-frequency gathering characteristic criteria, substituting the gaussian time-frequency window width adjustment parameters selected according to empirical values, and conducting characteristic extraction, detection and analysis on digital signals to be detected in the second step through the improved S-transformation. Selection of condition parameters of a gaussian window function is optimized through the constraint condition that the value of a time-frequency gathering characteristic expression is maximized when the signals are analyzed through the improved S-transformation, and the improved S-transformation is applied to characteristic extraction, detection and analysis on voltage sags. The voltage sag detection method for S-transformation on the basis of time-frequency gathering characteristic criteria has the higher detection accuracy degree and signal denoising capacity on transient-state electric energy quality signals.

The invention discloses a supporting system for the machining of large-caliber space optical reflectors, which comprises a machining supporting device, a detection supporting device and a conversion mechanism (2), wherein the conversion mechanism is arranged on the upper surface of a machining supporting bottom plate (1), and supports the detection supporting device; the bottom plate of a detection supporting frame (8) is provided with a floating active supporting mechanism (6), a rigid supporting rod penetration hole (4) and a counter weight penetration hole (7); a rigid supporting rod (3) supports a work piece through the rigid supporting rod penetration hole in the machining of the reflector; and in detection, the conversion mechanism holds the detection supporting device up and the floating active supporting mechanism supports the work piece. By adopting a supporting way and a supporting structure which are mutually independent and adjustable, the supporting system can design schemes and accurately regulate supporting forces at each supporting point according to own characteristics of the reflectors to be machined, and also can regulate surface shape errors, caused by gravity deformation, of the reflectors to be acceptable for space usage, thereby greatly reducing ground detection errors.

The invention relates to a method and a device for detecting the precise arrival moment of an ultrasonic wave, and the method and the device are suitable for the application field of the high-precision ultrasonic detections, such as distance measurement, target tracking and positioning and flow detection. The method is based on a digital processing technology, and comprises the following steps: utilizing an A/D (analog to digital) converter to collect ultrasonic data, dynamically determining decision threshold levels reached by ultrasonic signals according to the characteristics of ultrasonic waveforms, and accurately calculating the arrival moment of the ultrasonic wave by utilizing a linear fitting method. The detection on the nanosecond stage precision can be realized through simple research and arithmetical operation at the low sampling rate. The invention provides the detection method with low calculation amount and high precision for high-precision ultrasonic detections, such as distance measurement, target tracking and positioning and flow detection.

The invention relates to an exposure time determination-based laser speckle blood flow imaging method, which comprises the following steps of building a laser speckle blood flow imaging system, then, inputting the imaging of a detected object into a computer by a charge coupled device (CCD) camera according to exposure time T, and selecting a target detection point; continuously collecting n frame images from the target detection point by the CCD camera respectively according to the exposure time T1, T2,?-, Tm to obtain m image sets P<T1>(n), P<T2>(n),?- P<Tm>(n), and inputting into the computer for processing; calculating the image gray value contrast K(x, y, Ti) under different exposure time Ti by the computer according to a formula; obtaining a fitted value A<fit> of a reciprocal A of Tao<c> by calculating and fitting a relation between the square of the contrast K2(x, y, Ti) and the exposure time Ti of the CCD camera and the self-correlation function fall time of scattering light-intensity variation Tao<c> according to the laser speckle blood flow imaging theory; and setting the exposure time T0=1.1/A<fit> and performing blood flow detection on the detected object to obtain blood flow velocity distribution. According to the exposure time determination-based laser speckle blood flow imaging method provided by the invention, according to the blood flow velocity of different detected objects, the exposure time of the CCD camera is automatically determined, and the accuracy of the laser speckle blood flow imaging method monitoring blood flow variation is improved.

A secondary air pressure detecting apparatus includes a solenoid valve and a pressure sensor. The solenoid valve defines a secondary air passage that introduces secondary air from the air pump into the exhaust system of an engine. The solenoid valve opens and closes the secondary air passage. The pressure sensor is integrally mounted to the solenoid valve to detect pressure of secondary air in the solenoid valve. The solenoid valve includes a coil assembly and magnetic members. The coil assembly includes a solenoid coil that generates magnetic force when the solenoid coil is energized. The magnetic members construct a magnetic circuit with the solenoid coil. The magnetic circuit is arranged outside of the secondary air passage. The pressure sensor is arranged on an opposite side of the secondary air passage with respect to the magnetic circuit.

The invention provides a microfluidic chip and a single cell protein quantitative detection device and method. The chip is composed of a PDMS (Polydimethylsiloxane) layer and a quartz layer; a microfluidic chip technology is combined with a liquid drop formation technology, a fluorescence antibody preparation technology and a fluorescence detection technology and then high-throughput quantitative detection of proteins in single cells is realized; reliable device and method are provided for characterization of cell biological characteristics. By designing and manufacturing a fluorescence antibody pair and setting an optical filter, the detection precision can be effectively improved and detection errors are reduced. Equipment including an inverted fluorescent microscope, a photomultiplier and the like can be used in a traditional biological laboratory, so that the device and the method have strong adaptability and high portability and are convenient to realize.

The invention provides a mobile positioning method and a radio network controller. The method comprises the following steps of: receiving multiple time advance (TA) values reported by user equipment (UE) and multiple angle of arrival (AOA) values and multiple time deviation (TDEV) values reported by a NodeB in a positioning period; selecting a TA detection algorithm and an algorithm threshold according to the environment of the Node B; calculating the TA detection value according to the multiple TA values, the selected TA detection algorithm and the selected algorithm threshold; and calculating the position information of the UE according to the TA detection value, the multiple AOA values and the multiple TDEV values. The mobile positioning method can effectively improve the positioning precision.

The invention discloses a lever-amplification-principle-based dual-shaft full-decoupling silicone micro-resonator type accelerometer comprising an upper layer and a lower layer. A mechanical structure of a silicone micro accelerometer is arranged at the upper layer and a glass substrate laid with a signal lead is arranged at the lower layer. The mechanical structure is formed by a sensing mass, a common anchor point, lever amplifier mechanisms, decoupling beams, and resonators; one end of one decoupling beam is connected with the sensing mass and the other end is connected with the common anchor point by the lever amplifier mechanisms; and the inertia force applied to the sensing mass is magnified by the lever amplifier mechanisms and then is transmitted to the resonators. The resonators consist of resonance beams, comb racks, movable combs, fixed drive combs, fixed drive feedback combs, and fixed anchor points. According to the silicone micro-resonator type accelerometer, accelerated speed detection at two directions in a plane can be realized; and the frequency is used as an output. The accelerometer has advantages of small size, high integration degree, small coupling error, high sensitivity, and excellent anti-interference capability and the like.

The invention discloses an alga identification and measurement sensor and method. The sensor comprises a multi-wavelength high-brightness LED (light-emitting diode) excitation light source, an optical lens, an optical filter, a light-splitting optical grating, a photoelectric detection unit consisting of a plurality of photoelectric detectors with different detecting wavelengths and an electronic circuit system and the like which are in integrated arrangement, and meanwhile, an ultrasonic generator, a temperature sensor and a mechanical cleaning device and the like are integrated in the sensor. In the method, a multi-wavelength fluorescence detection technology is adopted and information, such as alga ingredients and concentration and the like in a water body is obtained through measuring an excitation spectrum of the alga in the water body and carrying out corresponding calculation. According to the invention, the multi-wavelength fluorescence detection technology is adopted, the problem of detection error caused by Redshift can be effectively solved and the actual excitation fluorescence spectrum and the alga information can be effectively reflected. The alga identification and measurement sensor and method are particularly suitable for long-term monitoring and on-site real-time, fast and accurate measurement of alga in water body environments.

The invention discloses an automatic continuous detection device of micro-pulse differential absorption lidar water vapor spatial and temporal distribution. The device comprises dual wavelength detection light sources, a lidar receiving optical system, a signal detection system, a three dimensional rotating platform, a transient recorder, an automatic temperature and humidity recorder and the like. The wavelengths of the two detection light sources are respectively positioned on a water vapor absorption peak and a water vapor non-absorption peak, the detection light can be transmitted into atmosphere at any angle, water vapor absorption characteristic backward scattering signals in specific spectral lines are obtained, water vapor distance-distinguished relative humidity profiles in transmission paths of light are obtained by inversion, and after profiles being calibrated, high-resolution and high-precision water vapor relative humidity spatial and temporal distribution data in light paths is finally obtained. The automatic continuous detection device can carry out day and night all-weather observation for water vapor relative humidity stereo distribution, and has advantages of high time resolution, high spatial resolution and high detection precision.

The invention belongs to the field of traffic road environment sensing in the intelligent automobile technology, and relates to a road edge detection method based on three-dimensional laser radar, comprising the following steps: acquiring point cloud data of the surrounding road environment by using the three-dimensional laser radar installed on the vehicle, adopting a random sampling consistencyalgorithm to segment the ground; setting a wider threshold according to various geometric features of the road edge for judgment, and extracting the candidate points of the road edge by using the neighborhood relationship between the respective scanning points of the same scanning layer; clustering the candidate points of the road edge and removing the dense and isolated noise points by using a density-based clustering algorithm according to the continuous feature about density and rod direction of the data points of the road edge; and finally fitting the qualified candidate points of the roadedge by weighted least squares to improve the fitting accuracy. The method extracts candidate points of the road edge according to the plurality of features of the road edge, and comprehensively considers the continuous feature of the road edge in the density and the road direction to de-noise, so that the final detection error is small and the precision is high.

The invention discloses threaded hole detection equipment, which comprises a housing, a base, detachable detection devices symmetrically and fixedly arranged on the base, and a positioning device used for fixing the to-be-detected work pieces, wherein each detection device comprises a die bottom plate, a slide rail fixedly arranged on the die bottom plate, a motor group, and a transmission device for driving the motor group to move on the slide rail; the motor group comprises at least one motor and a thread gauge arranged at the front end of the motor, and the number of the motor is consistent with that of the slide rail; and a control device for controlling the operation of the detection devices is further arranged on the equipment. By adopting the threaded hole detection equipment disclosed by the invention, the detection efficiency can be effectively improved and detection errors can be effectively reduced; and as the detection equipment is electrically controlled, the workload can be effectively reduced and the detection cost can be cut.

The invention discloses a method for measuring atmospheric horizontal visibility based on a CCD (Charge Coupled Device) laser radar. The method involves the following devices: a laser transmitting part, an optical receiving part and a data collecting part, wherein the laser transmitting part comprises a laser device and a collimator; the optical receiving part mainly comprises a CCD camera and an optical filter, and the optical filter is positioned in front of a lens of the CCD camera; the data collecting part comprises a computer, and the CCD camera is in communication connection with the computer; and the laser device is used for transmitting laser to the atmospheric air horizontally, a laser path is free from blocking objects, a micro angle is formed between the CCD camera and the laser device, laser echo signals are fully received by the CCD camera, and the atmospheric horizontal visibility can be obtained after laser echo images are collected and processed by the computer. According to the invention, the devices involved in the method can continuously work day and night and have the advantages of high detecting speed, simple structure, small size, light weight, convenience for carrying and moving and wide application prospect.

The invention provides a vehicle detection and tracking method and device. The method includes the following steps that: vehicle images which are shot currently are detected, so that the vehicle characteristics of the vehicle images can be obtained; one group of models which are suitable for the sizes of the vehicle images are selected from a pre-trained multi-model network structure; vehicle detection is performed on the vehicle characteristics through the selected models, so that the position information of vehicles in the vehicle images can be obtained; and the vehicles in the vehicle images are tracked according to the obtained position information of the vehicles. With the vehicle detection and tracking method and device provided by the invention adopted, the accuracy of vehicle positioning can be improved, so that vehicle tracking speed can be also improved.

The displacement measurement device according to the present invention includes: a metal object movable in a moving direction within a moving plane; a measurement coil arranged such that an opposite area of a measurement coil surface opposite to the moving plane is varied with a movement of the metal object; and a correction coil arranged such that an opposite area of a correction coil surface to the moving plane is not varied irrespective of the movement of the metal object. The measurement coil and the correction coil are arranged such that the measurement coil surface and the correction coil surface are not overlapped with each other with regard to a plane parallel to the moving plane but a range occupied by the measurement coil in a coordinate axis along the moving direction and a range occupied by the correction coil in the coordinate axis are overlapped with each other.