331results about How to "Filter out noise" patented technology

A running safety monitor system for car is composed of a car-carried digital image information acquiring unit with a built-in digital camera, and a car-carried embedded computer platform with a systematic image processing and decision control unit. Its monitor method includes such steps as acquiring the real-time image of ambient environment, generating digital image information, processing and analyzing the image information, classifying, and alarming when the signal class reaches an alarm standard.

The invention discloses a laser visual tracking system, which mainly comprises an industrial personal computer, wherein a COM 1 (Component Object Model) port of the industrial personal computer is connected with an X axis motor and a Z axis motor through a motor control and drive circuit; output ends of the X-axis motor and the Z-axis motor are connected with a welding torque; the controller of the welding torque and a welding machine control circuit are connected with the industrial personal computer; the industrial personal computer is also connected with a laser sensor for acquiring information on the welding torque and a workpiece in real time and delivering the acquired information to the industrial personal computer; the laser sensor is a visual sensing module and mainly comprises a camera and a laser diode; the camera is vertically aligned with the workpiece; a laser is slantwise arranged and forms an angle of 30 degrees with the laser; laser emitted by the laser irradiates the workpiece to form a narrow light strip; after the light strip is reflected or refracted by the workpiece, the light strip enters the camera to image, and the image is transferred to the industrial personal computer for processing; after the image is analyzed and processed by the industrial personal computer, an action command is emitted to the welding torque, the X-axis motor and the Z-axis motor.

The invention provides a wireless and ultrasonic composite location system and a location method for the wireless and ultrasonic composite location system, wherein the wireless and ultrasonic composite location system comprises a plurality of beacon modules with fixed positions, at least one mobile location module and an electronic location platform; each of the beacon modules comprises a first wireless receiving and sending module, an ultrasonic transmitting module and a first intelligent processing module; the mobile location module is arranged on a mobile object, and comprises a second wireless receiving and sending module, an ultrasonic receiving array, an array processing module and a central processer; the electronic location platform is used for building an electronic map and sending the electronic map to the mobile location module, and is also used for coordinating the synchronization of the beacon modules and the mobile location module. The invention also comprises the location method for the wireless and ultrasonic composite location system. By adopting the system and the method, the problems of multipath effect and none-line-of-sight are solved, the measurement precision is improved, and the theoretical precision of less than 0.1mm can be reached.

The invention discloses an equalizing charge method and an equalizing charger. The equalizing charge method comprises the following steps: (1) connecting N (N is integer and is more than or equal to 2) single batteries in a battery pack in parallel; (2) independently and quickly charging the N single batteries at the same time; and (3) after the single batteries meet the charge requirement, finishing charging the battery pack. The equalizing charge method of the invention changes the series discharge mode of the single batteries of the battery pack into a parallel mode to independently charge the batteries of the battery pack, thus independently controlling the charge process of the single batteries to ensure equalizing charge for the single batteries. The charger of the invention uses a single chip control center as the core, and simply and precisely realizes independent charge and independent control of the single batteries.

The invention relates to a robot location navigation system and navigation method. The robot location navigation system comprises a plurality of beacon modules, at least one robot location terminal and an electronic navigation platform; each beacon module comprises a first wireless receiving-transmitting module, an ultrasonic transmitting module and a first intelligent processing module; each robot location terminal comprises a second wireless receiving-transmitting module, an ultrasonic receiving array, an array processing module and a central processor; the electronic navigation platform is used for storing codes of all robots, establishing an electronic map, planning and calculating a motion target or path of the robot as well a position of the beacon module and dispatching the robot to avoid a barrier and also used for coordinating the synchronism of the beacon module and the robot location terminal and receiving position coordinate data uploaded by each robot location terminal. The invention also relates to a navigation method of the robot location navigation system. By adopting the robot location navigation system and navigation method, the multi-path effect and non-line-of-sight propagation problem can be solved, the measurement precision can be improved, and automatic location is implemented.

The invention relates to a power system transient stability evaluation method based on a deep learning technology. Firstly, a time domain simulation method is used to generate a sample set {x<0>, y<0>}; characteristic variable vectors are then extracted according to the sample set, and a training set {x<1>, y<0>} is formed, wherein the training set is the characteristic variable vector set; training parameters are determined, a stacked automatic encoder is trained based on the training set, characteristic extraction is carried out on the training set to generate a calculation set {x<2>, y<0>};and finally, based on the calculation set, classification model training is carried out on a convolution neural network, and a power system transient stability evaluation model is formed. The stackedautomatic encoder is used to carry out layer-by-layer characteristic extraction on the characteristic variable vectors, a hidden data mode is mined, high-order characteristics more facilitating transient stability evaluation are formed, the convolution neural network is further used to build a stable classification model, the evaluation performance of the model is thus ensured, the misjudgement rate of unstable samples can be reduced, noise interference in a wide area measurement system of the power system can be effectively overcome, and an important significance is provided for online safeand stable evaluation on the power system.

The invention discloses a far-distance human-body-hiding hazardous article detector based on the radar target polarization characteristic. The detector comprises a display control end, a signal processing and control module, a linear frequency modulation source module, a transceiving frequency doubling link module, a clock distributing module, a medium-frequency amplification filtering module and a signal acquisition module. The linear frequency modulation source module provides linear frequency modulation signals to the transceiving frequency doubling link module. The transceiving frequency doubling link module conducts frequency doubling and amplifying on the linear frequency modulation signals provided by the linear frequency modulation source module so that the frequency of the linear frequency modulation signals can reach the designated frequency band and the linear frequency modulation signals can irradiate a detected object, reflection echoes of the detected object are received, processed and then transmitted to the medium-frequency amplification filtering module and finally return to the display control end. The display control end counts the distribution of strength values of two perpendicular routes of echoes of the detected objects according to the received multi-acquisition data, so whether the detected object carries a hazardous article or not can be effectively detected, far-distance detection can be achieved, security check can be conducted on high-density people in open places, and the detected object does not need to cooperate actively.

The invention provides an infrared small target detection method and system based on an FPGA. Acquired images are preprocessed to be denoised and processed through blind pixel removal; a head image and a tail image are extracted; clutter edge filtering operation is carried out on the head image and the tail image; threshold segmentation operation is carried out on the head image and the tail image so that the images can be binary ; morphological expansion is carried out on the target in the head image processed through threshold segmentation and the target in the tail image processed through threshold segmentation, and targets with large contours are obtained; the head target processed through morphological expansion and the tail target processed through morphological expansion are synthesized so that a complete target can be obtained. According to the infrared small target detection method and system based on the FPGA, the signal-to-noise ratio can be increased by accumulating the superposition portions of a previous frame and a next frame, the interference of a background cloud layer can be well removed while the algorithm complexity is reduced, and the real time performance of the detection system can be improved while accuracy is guaranteed.

The application discloses a method for measuring oxygen saturation degree of blood, comprising the following steps of (1) direct current filtering and pre-processing the measured digital signals after analog-digital conversion; (2) wave filtering by an aliasing-resistant filter and signals extraction; (3) quick Fourier FFT transformation and elimination of motion interference signals; (4) calculation of oxygen saturation degree of blood. And after the elimination of motion interference signals and before the calculation of oxygen saturation degree of blood, a step can be added in the method, namely, the range of double frequency is more eliminated than that of base frequency; elimination of excursion by a lowpass can be also added in the method before the calculation of oxygen saturation degree of blood. The invention also discloses an instrument for measuring the oxygen saturation degree of blood with the method. The method and the instrument of the invention can quickly and effectively measure the oxygen saturation degree of blood, and an extraction technique is added in the invention, helping largely reduce the space for use and amount in calculation of an EMS memory. Waveshape recognition on the frequency domain helps filter the interference of motion state effectively and improve the accurateness of measurement by the instrument.

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.

Disclosed in the invention is an image-vision-based lane line detection method. The method comprises the following steps: collecting a to-be-detected image and carrying out pretreatment on the to-be-detected image; on the basis of a geometrical feature of a lane line and a grey difference, carrying out lane line feature extraction and screening a lane line region; and sampling the lane line region and carrying out linear fitting on the collected data by using a random sampling consensus algorithm, thereby obtaining a lane line parameter by calculation. Using the method provided by the invention, the interference in a non-lane-line region in an image can be effectively filtered; the computing load is reduced substantially; the precision and the extraction speed of lane line parameters are improved; the robustness of the system is enhanced; and the accuracy is high.

The invention discloses an intrinsic-safe type electronic detonator initiation system. An intrinsic-safe type protective circuit is arranged in a control system of the detonator, comprising an anti-interference circuit, a low-voltage DC conversion protecting circuit, a surge protecting circuit and an insulation stabilizing initiation control circuit, wherein, the surge protecting circuit is arranged between an electronic detonator energy-storage capacitor and an SCM control circuit, the output of the surge protecting circuit is communicated to the serial interface of the SCM control circuit through a level shifter circuit and an MAX485 chip and the input terminal of the surge protecting circuit is connected with the output terminal of the energy-storage capacitor; the low-voltage DC conversion protecting circuit and a voltage-stabilizing protecting circuit are arranged between the energy-storage capacitor and the initiation circuit of the electronic detonator; and simultaneously the insulation voltage-stabilizing circuit is arranged between the energy-storage capacitor and an electronic switch of the initiation circuit of the detonator.

The present invention discloses a method for detecting the cable connecting of the outdoor unit of the intelligent antenna, which settles the problem that the connecting sequence can not be detected when the intelligent antenna array is connected with the front unit of the outdoor radio frequency by a radio frequency coaxial cable in the TD-SCDMA communication system. The invention presents a method for confirming the connecting sequence of the corresponding cable according to the estimated data of the communication channel, changing the complexor sequence in the antenna array direction, searching the maximum value of the energy in the air space, and the antennae array direction complexor sequence which corresponds with the maximum value. The present invention effectively settles the problem of detecting the connecting sequence of the of the radio frequency cable in the realizing of the intelligent antenna project; the detecting sequence of the present cable can be accurately detected while the upgoing communication channel is adopted to process the data according to the criterion that the space detecting receiving power is maximum traversing all the cables at the condition that the calculating difficulty is effectively controlled; the smooth arithmetic is adapted for the originality, the noise and disturbance are sieved and the correctness of the detecting arithmetic is increased.

The embodiment of the invention discloses an image data processing method and device. The method comprises the following steps: obtaining the original image information including a target object; detecting a plurality of pixel points in the original image information based on a first neural network model; and setting a corresponding mask value for each pixel point according to the detection result; dividing the original image information according to the pixel value and the mask value of each pixel point in the original image information to obtain a foreground area including the pixel point having the first mask value as a target area corresponding to the target object; identifying the target object in the target area, and determining the corresponding physical sign classification information of the target object according to the recognition result; and searching material information matching with physical sign classification information is searched, and integrating the searched material information to generate the first virtual character data corresponding to the target object. By adopting the invention, the identification efficiency and the identification accuracy of the data canbe improved, and the display effect of the image data can be enriched.

The invention discloses a method for measuring the yaw velocity of a vehicle by filtering based on wavelet transformation, which is suitable for measuring the yaw velocity of an automobile of which front wheels are steering wheels and back wheels are non-steering wheels. The method comprises the following steps of: firstly, measuring the wheel speeds of the two non-steering wheels, removing a gross wheel speed error with a median filtering method and further calculating the non-filtered yaw velocity of the vehicle according to the motion relation of planar composite motion and wheel speeds subjected to median filtering; secondly, performing seven-layer wavelet decomposition on the non-filtered yaw velocity of the vehicle by using a 'sym8' wavelet basis according to a wavelet transformation theory and performing threshold value quantification on a high-frequency coefficient with a soft-threshold method; and lastly, performing reverse wavelet transformation by using a seventh layer low-frequency coefficient and the high-frequency coefficient which is subjected to threshold value quantification and reconstructing to obtain high-accuracy filtered yaw velocity.

The invention discloses a dynamic adjustment first-order lag filtering method with high sensitivity. The method comprises the steps of adjusting a filtering coefficient; judging a data change direction of this time; judging whether to accelerate response shake elimination count or not and updating a filtering counter; judging whether the filtering counter reaches the maximum or not; updating the filtering coefficient; and the like. According to the method, the constraint of a hardware condition can be removed, and the defect that the sensitivity and stability cannot be taken into considerationat the same time in a traditional first-order lag filtering method is overcome.

The invention discloses a current type terahertz pyroelectricity detector reading circuit, and belongs to the field of terahertz detecting and imaging. The reading circuit comprises a current-voltage converter, a 50Hz trap circuit, a first-order lowpass filtering amplifying circuit and an electric potential raising module. Signals output by the terahertz pyroelectricity detector are input into the current-voltage converter so that the current signals can be converted into voltage signals; the signals output by the current-voltage converter are input into the 50Hz trap circuit so that power frequency interference can be eliminated; the signals output by the 50Hz trap circuit are input into the first-order lowpass filtering amplifying circuit so that the signals can be further amplified; the signals output by the first-order lowpass filtering amplifying circuit are input into the electric potential raising module so that a voltage can be raised and the voltage signals output by the circuit can be matched with a voltage required by a rear digital collecting circuit. The voltage signals output by the circuit are pure, and the circuit is suitable for collecting and outputting a weak current of the terahertz pyroelectricity detector.

The invention discloses a giant magneto-impedance sensor device for detecting a distance, and the device comprises an exciting circuit, a sensitive element, a pre-amplification circuit, a frequency-mixing filter circuit, a final-stage amplification circuit, an analog/digital conversion circuit, a feedback circuit and a microprocessor, noise and interference can be removed by extracting base frequency and harmonic components from signals so that the measuring precision of the sensor is improved; because a design scheme is easily integrated and the sensor is convenient to miniaturize, the device is improved in reliability and the production cost is reduced. The invention further discloses a signal processing method based on the giant magneto-impedance sensor device, a signal processing model is created by signal base frequency and harmonic components, and the signal feature of any object is measured such that the distance between the object and the sensor can be obtained through inversion calculation. Through the signal base frequency, the second harmonic components and the multi-feature signals, the device can avoid to only use a linear region, thus the measuring range of the sensor is greatly expanded when the measuring precision is improved.

The invention discloses an obstacle detection method based on laser radar and millimeter wave radar deep fusion, and the method comprises the following steps of: 1, carrying out preprocessing and target extraction on original point cloud data of a laser radar, and carrying out combined online calibration on the two items; 2, eliminating a millimeter wave radar false alarm sensing model; 3, comparing the millimeter wave returned distance information of an obstacle with the laser radar returned point distance information so as to filter the interference of rain, fog and dust; and 4, removing false detection information of the millimeter wave radar and the laser radar based on the step 3 and the step 4. According to the obstacle detection method based on laser radar and millimeter wave radardeep fusion, high-precision detection based on laser radar and millimeter wave radar deep fusion can be effectively realized through setting of the steps 1 to 4.

In order to solve a problem of a detection blind region in a range finding device of a non-coaxial optical structure, the invention discloses a small optical range finding device, a range finding method, a range finding system and a TIR lens. The small optical range finding device comprises an infrared light emitting module, a receiving module and a signal processing and controlling module. The signal processing and controlling module is connected with the infrared light emitting module and the receiving module. The infrared light emitting module emits infrared detection light which is reflected when meeting an object. The receiving module receives infrared detection light reflected by the object, and converts optical signals into electric signals. The signal processing and controlling signal calculates the distance between the small optical range finding device and the object based on a flight time method. The TIR lens equipped with a light guiding structure is arranged on an infrared detection optical path given out by the infrared light emitting module. The light guiding structure is a groove which is arranged in a position, near one side of the receiving module, of a light emitting face the TIR lens.