282results about How to "Eliminate distracting factors" patented technology

The invention provides a test paper detection card intelligent detection system and a test paper detection card intelligent analysis method. The test paper detection card intelligent detection system comprises a test card detection card and an intelligent terminal; the test paper detection card includes a test paper detection area; four corner positions of the test paper detection area are each provided with a positioning mark; a standard color area formed by a plurality of standard color blocks with different colors is arranged at one side of the test paper detection area; a reaction area formed by arraying a plurality of reaction blocks is arranged at the other side of the test paper detection area; the test paper detection area also is distributed with a validation area formed by a plurality of white shadow validation color blocks; a bar code area is arranged in the test paper detection area. The test paper detection card intelligent detection system and the test paper detection card intelligent analysis method have the advantages that environmental interference factors during image shooting are effectively eliminated, and the sensitivity and accuracy of detection results are improved; and in addition, a detection and analysis algorithm is simple, so the detection time can be shortened, and the system and the method can play an important role in urine routine, blood routine and other medical detection.

The invention discloses a portable vehicle recognition device base on an embedded platform, belonging to the technical field of traffic and vehicle management. A camera, a display or a touch screen, a wireless transmission (GPRS) module, a radio frequency identification card (RFID) reader, a global positioning (GPS) module are arranged on the embedded platform to form a portable device which integrates set data acquisition, data display, data processing, self location, data transmission and communication function as a whole, so that the recognition of licence plate images comprising five key links, such as image acquisition, image preprocessing, licence plate location, character segmentation and character recognition is realized, and the image acquisition and processing are directly completed in the portable device. The device has the advantages of convenient carrying, rapid location, high flexibility, high efficiency, high accuracy, high reliability, low cost and high quality, and is recommended to be used in the field of traffic and vehicle management.

The invention relates to a human movement significant trajectory-based video classification method. The human movement significant trajectory-based video classification method comprises the following steps that: a video set M is divided into a training set Mt and a test set Mv, and human movement information in each video is tracked in a multi-scale space by using SIFT and dense optical flow technologies, so that movement significant trajectories in each video can be obtained; feature description vectors of each trajectory are extracted; redundant information in the feature description vectors are eliminated through using a PCA method, and dimension reduction is performed on each class of feature description vectors; the feature description vectors in the training set Mt are clustered by suing a Gauss mixture model, and then, Fisher vectors of each video in the video set M are generated by using a Fisher Vector method; a linear SVM classification model is constructed on the training set Mt; and on the test set Mv, videos in the test set are classified through using the linear SVM classification model. Compared with the prior art, the human movement significant trajectory-based video classification method of the invention has the advantages of excellent robustness, higher computational efficiency and the like.

The invention provides a method for judging the category of failures caused by electrical contact in a sealed electromagnetic relay. The method comprises the following steps: firstly, running tests on the reliability life of a plurality of sealed electromagnetic relays as the samples to be tested; recording the relation between the contact resistance and other characteristic parameters of each sample to be tested and the operation frequency thereof in the entire test process; forming a data matrix Xn*6 from the six characteristic parameters, such as the contact resistance; carrying out the dimension reduction pre-processing on the multi-dimension characteristic parameter data by using the principal component analysis method; extracting the corresponding data characteristics from the data subjected to the dimension reduction, and sorting the data characteristics by failure mechanisms; and calculating the Mahalanobis distances between the new sample to be tested and various training samples using the distance discriminant analysis method, and comparing the Mahalanobis distances to judge the category of the failure. Instead of opening a housing and achieving the failure analysis by optical microscopes and other instruments, the invention can eliminate the interference factors caused by other inducements and expose and locate the real causes of failures.

The invention relates to the technical field of photonic crystal fiber sensing, and provides an indoor air quality detecting system having the advantages of small detection range, large flexibility and low cost. A technical scheme adopted in the invention is characterized in that a photonic crystal fiber based mixed gas concentration detecting apparatus is composed of a laser, a single-mode fiber, a coupler, a power meter, an air chamber and a wave meter, and a photonic crystal fiber is wound in the air chamber; the single-mode fiber and the photonic crystal fiber are directly connected in the air chamber by adopting a flange disc, the air chamber is filled with a mixed gas for detection, and the mixed gas goes through the end surface of the photonic crystal fiber in the air chamber, and enters a fiber core air hole area; laser output by the laser is divided into two beams by the coupler, and one of the two beams directly enters the wave meter as reference light; and the other one of the two beams goes through the single-mode fiber, enters the air chamber, interacts with the mixed gas in the hollow core of the photonic crystal fiber, is coupled into the other segment of the single-mode fiber, and is connected to the power meter. The system and the apparatus are mainly used for the gas detection.

The invention relates to a fluid viscosity testing method of capillary tube, and relative device, wherein it uses one fluid viscosity tester of sample capillary tube to collect data; using resolve processor to process the data and outputting the viscosity data of tested fluid; said tester has one machine base arranged with sampling needle mounting frame; said frame is fixed with one capillary tube sampling needle; said needle via one sampling tube is connected to one sampling pump; the sampling needle or said sampling tube is arranged with one pressure sensor which via data line is connected to one solve processor; said processor via control line is connected to the input of sampling pump; the sample cup fixer is under the sampling needle; and the sample cup fixer has reference liquid sample cup and tested liquid sample cup.

The invention relates to a portable human body load physiological and biomechanical monitoring device which is characterized by comprising a physiological fatigue state detection unit, a biomechanical signal detection signal and a data acquisition and analysis unit. By adopting the portable human body load physiological and biomechanical monitoring device, a field load walking test can be carried out, and human body physiological and biomechanical data in a real load walking state are obtained. In addition, the device detects and displays the tightness degree and a balance state of the shoulder, the check and a waistband of a knapsack in real time, ensures correct usage of the knapsack, prevents the knapsack from load fatigue caused by improper usage of the knapsack, eliminates interference factors, and accordingly can really and objectively monitor the influence of knapsack weight, the walking time, the knapsack design and other factors on the human body load fatigue. The portable human body load physiological and biomechanical monitoring device can be widely applied to the research fields of anthropometry, biomechanics, ergonomics and the like.

The invention relates to optical measuring equipment. The optical measuring equipment comprises an equipment cabinet, a positioning device, a measuring system and a project control system, wherein a working table is arranged at the upper end of the equipment cabinet, and the working table is provided with a gantry structure frame; the positioning device is arranged on the working table, and the positioning device is used for bearing and fixing a workpiece and can drive the workpiece to move on the working table; the measuring system is arranged on the gantry structure frame and located above the positioning device, and is used for measuring the data of the inner length, the inner width, the outer length and the outer width of the workpiece as well as the width, the profile tolerance, the flatness, the parallelism, the height difference and the like of a specific face; the project control system is arranged in the equipment cabinet, and is used for controlling the positioning device and the measuring system, and calculating and analyzing the data fed back by the measuring system. The optical measuring equipment achieves multi-project automatic detection, and has the advantages of being high in precision, few in man-made interference factors, low in cost and high in efficiency.

The invention discloses a sensitive word filtering method and device, computer equipment and a storage medium. The sensitive word filtering method comprises the steps of obtaining an original character string and a scene application type sent by a client; Performing preliminary filtering on the original character string by adopting a regular expression matching algorithm to obtain an effective character string; Extracting the effective character string by adopting a preset extraction rule corresponding to the scene application type to obtain a to-be-tested character string; Carrying out sensitive word detection on the to-be-detected character string by adopting an improved multi-mode matching algorithm to obtain a target sensitive word; And performing character replacement processing on the target sensitive word to obtain a target character string, and displaying the target character string on the client. The method can effectively solve the problems of low sensitive word filtering strength and low recognition rate caused by the fact that part of netizens use violation means to avoid supervision.

The invention discloses a wood counting method based on contour optimization. The method comprises the steps that dimension conversion is carried out on a wood image; a wood target image is extracted from the conversed image through a color model, and edge information in the image is extracted through an edge operator; the extracted wood target image and the edge information are merged to acquire a pre-segmented image; the outline of a candidate target is extracted from the pre-segmented image, and extracted outer contour and inner contour are respectively corroded and expanded for optimization; and the above process is repeated until the number of extracted outer contours is invariant and the inner contour is not present. According to the optimization process, a false target and the adherence of targets are eliminated for the wood candidate target of the pre-segmented image; and the extracted wood target can be directly used for counting. According to the invention, the validity of the method is experimentally verified.

The invention relates to a range hood and a control method thereof. The range hood comprises a range hood body. A control device, a draught fan and a lampblack detection device are arranged in the range hood body. The lampblack detection device comprises an infrared emitter and two infrared receivers. One infrared receiver and the infrared emitter are oppositely arranged on the two sides of an air inlet of the range hood body and used for acquiring infrared rays penetrating through lampblack. The other infrared receiver and the infrared emitter are installed on the same side and used for acquiring infrared rays which are blocked and reflected by lampblack. The infrared emitter and the infrared receivers are connected with the control device. The control device controls the rotating speed of the draught fan according to an infrared detection signal. According to the range hood and the control method thereof, the concentration of lampblack is determined through a difference comparison method, and then the rotating speed of the draught fan is controlled; the change of lampblack is independent of the change of ambient light and the like, existing interference factors are eliminated to the maximum extent, and the lampblack concentration detection precision is improved.

The invention provides a method for triggering an emergency treatment task. The method is applied to a mobile terminal and includes the steps: monitoring physical state parameters of the mobile terminal; responding to the monitored physical state parameters to express that the mobile terminal is in an abnormal state, and triggering execution of the emergency treatment task. The invention further provides a device with an emergency treatment function, and the device comprises a state monitoring module, a computing module and an emergency treatment module. The invention further provides an emergency treatment system which comprises a first terminal and a second terminal, the first terminal is in an abnormal state and transmits abnormal state signals to the second terminal, the second terminal responds to abnormal state information received from the first terminal and triggers the emergency treatment task. The state of the mobile terminal can be judged, the emergency treatment task is automatically triggered according to the abnormal state of the mobile terminal, and a carrier of the mobile terminal can be out of danger or rescued as quickly as possible.

The invention discloses an island detection method and device. According to the method, a real time voltage angle is obtained according to power grid three-phase voltage calculation, a synchronous voltage angle is further determined according to a phase-locked loop based on the real time voltage angle; under normal circumstances, the real time voltage angle is approximately equal to the synchronous voltage angle; when an island and phase jump of grid point voltage occur, the real time voltage angle also changes suddenly with the phenomenon to enable a phase jump value to exist between the real time voltage angle and the synchronous voltage angle; if the average value of the voltage phase jump value of the grid point is larger than a preset jump threshold value in one circulation period, then the occurrence of the island is determined. The island detection method and device are simple in control process and convenient to achieve; the island can be detected in the one circulation detection period after occurrence, and therefore the detection efficiency is high; disturbance quantity is not needed to be added into the output of an inverter, and the output electric energy quality of the inverter can not be influenced; determination is conducted according to the average value of the phase jump, all interference factors are excluded, and the detection precision is improved; detection dead zones are reduced.

A system for monitoring municipal saprobia inhibitive ability in real time based on oxygen uptake rate (OUR) comprises an aeration siphon device communicated with a sewage supplying system and a sludge supplying system. The aeration siphon device is composed of an aeration groove and a siphon groove in adjoining mode, the wall of the aeration groove is higher than that of the siphon groove, the aeration groove is communicated with the sewage supplying system and the sludge supplying system, and the siphon groove is communicated with an inlet of a closed coiler flow-pushing type bioreactor through a siphon tube. A dissolved oxygen (DO) detection system detects DO values of the inlet and an outlet of the closed coiler flow-pushing type bioreactor, and the signal output end of the DO detection system is connected onto a programmable logic controller (PLC) control system which is connected with an alarm system. The core part of system for monitoring municipal saprobia inhibitive ability in real time adopts the closed coiler flow-pushing type bioreactor so as to monitor the DO value of the inlet and the DO of the outlet in real time, automatically calculate mutation condition of activated sludge OUR, determines OUR mutation rate with different inhibition degree through plenty of experiments, and judge inhibitable degree of the saprobia by comparing automatically calculated OUR mutation rate with a preset value.

The invention provides an automatic voice harmonic-to-noise ratio analysis method, which comprises: 1) an effective phonetic segment for harmonic-to-noise ratio analysis is segmented from the recording; 2) the phonetic segment is subject to filtering processing based on an auditory model, and then a two-dimensional energy correlation coefficient of a time domain and a frequency domain in various filter channels in the auditory model is calculated; and 3) the threshold value of the correlation coefficient is preset, a coordinate point of the time domain and the frequency domain corresponding to the correlation coefficient has a harmonic component when the correlation coefficient obtained in step 2) is larger than the threshold, or else the coordinate point of the time domain and the frequency domain corresponding to the correlation coefficient has a noise component, and finally the ratio of the harmonic component and the noise component is calculated to obtain the harmonic-to-noise ratio. The method uses the correlation between the time domain characterized by an autocorrelogram and a cochlear spectral domain channel to judge the harmonic component, is not affected by the detection position of a fundamental frequency, and can detect the harmonic component more accurately and more robustly. As the cochlear spectrum is used, the method is more matched with the actual hearing of human ears.

The invention provides a kit for detecting lipoprotein-associated phospholipase A2 and a preparation method of the kit. The kit comprises one or more first antibodies for resisting the lipoprotein-associated phospholipase A2, and one or more second antibodies for resisting the lipoprotein-associated phospholipase A2, wherein the first antibodies are used for being combined with enveloped magnetic spheres of to-be-tested lipoprotein-associated phospholipase A2; the second antibodies are combined with the to-be-tested lipoprotein-associated phospholipase A2 on other sites which are different from the combined site of the to-be-tested lipoprotein-associated phospholipase A2 and the first antibodies for resisting the lipoprotein-associated phospholipase A2 and are marked with tracer markers. In a preferred scheme, the kit also comprises a displacing agent; and the detection accuracy of the kit can be further improved. The invention further provides a method for detecting the lipoprotein-associated phospholipase A2 by virtue of the kit. The concentration of the lipoprotein-associated phospholipase A2 in the sample can be determined by adopting serum as a detection sample at high repeatability, high accuracy and high sensitivity.

The invention discloses a surveillance video straw burning inspection method based on a deep neural network, which belongs to the technical field of information. A smoke / fire recognition and processing module based on a neural network classifier is built based on a deep learning neural network frame. The smoke / fire recognition and processing module adopts a method of intercepting each ten frames of video as a picture to increase a data set and amplify a data set feature label, a residual network is optimized, and the accuracy of recognizing an abnormal event in an image and a video is thus improved. According to judgment results towards smoke and fire in certain areas by the neural network classifier, the smoke / fire recognition and processing module gives an alarm to an inspection person and common users automatically, and monitoring on a straw burning event is further realized.

The invention relates to a method for obtaining environmental temperature. The method comprises the steps as follows: (a), beginning; (b), initializing parameters; (c), acquiring a signal; (d), judging the condition of an engine: correspondingly performing actions of 01, 02, 03 and 04 according to different states, wherein the action 01: when a computed value of the current environmental temperature is used as an output value of the environmental temperature of a display; action 02: using the computed value of the environmental temperature of the engine when the engine runs at the last minute as the output value of the environmental temperature of the display; action 03 and action 04: on the basis of considering various interference factors, correcting the preprocessing readings of an environmental temperature sensor to obtain the accurate computed value of the current environmental temperature; (e), assigning: recording the current engine condition to be used for a vehicle state for the next circle; in addition, using the computed value of the current environmental temperature as the output value of the environmental temperature of the display; (f) returning to the step (c), and entering the next circle for computing; and (g), ending. The invention also relates to a control system performing operation by the method.

The invention provides an audio processing method, an audio processing system and related equipment. The method comprises the following steps: acquiring audio data; obtaining human voice audio data and a switching point according to the audio data; converting the human voice audio data into m pieces of single voice data according to the switching point; and clustering the m pieces of single-sounddata to obtain n audio groups, wherein the single-sound data of each audio group in the n audio groups belong to the same talker.

The invention provides a short-term wind power forecasting method and system, comprising: collecting forecasting meteorological data; Inputting the forecasted meteorological data into a short-term wind power forecasting model created in advance to obtain a wind power forecasting value; The training data set of the short-term wind power prediction model is obtained by taking historical meteorological data related to the total output power of the wind turbine as modeling data and extracting the modeling data by PCA principal component. The technical proposal provided by the invention improves the operation speed and the modeling accuracy.

The invention relates to a graphene pressure sensor comprising a nanofilm, interconnected electrodes, leading columns, a base piece, a package housing, a ceramic base, and sealing rings. Detection is carried out by using the nanofilm, the base piece, and the interconnected electrodes. The nanofilm is formed by an upper boron nitride layer, a lower boron nitride layer, and a graphene layer formed between the upper boron nitride layer and the lower boron nitride layer and is arranged at the lower surface of the base piece; the upper part of the base piece is etched to form a recessed structure and the upper part of the base piece and the ceramic base are in metal bonding to form an oxygen-free vacuum cavity to isolate the nanofilm from the external world so as to provide oxygen-free protection. The interconnected electrodes are formed by bonding of interconnected salient points with interconnected welding plates. With the leading columns, a detection unit is connected externally. The boron nitride-graphene-boron nitride nanofilm not only serves as a functional material of the sensor but also serves as a structural material. The sensor that is capable of work in a high-temperature environment with a high temperature of 1000 DEG C and has advantages of high repeatability, reliability, good acid and alkali-resistant and corrosion-resistant performances can be applied to dynamic and static high-temperature testing environments; and the high-temperature zone is improved obviously.

The invention discloses a control method of a lower limb rehabilitative robot based on the combination of robust control and admittance control. A robust controller is added in traditional admittancecontrol, so that a whole control system has the flexibility of the admittance control and anti-interference performance of the robust control; furthermore, shaking influences of system friction and the robust control are also considered and are compensated and balanced, so that the control precision is wholly improved.

The invention belongs to the technical field of ship measurement, particularly relates to a ship water gauge identification method, a ship water gauge identification system and a ship water gauge identification device based on a wall-climbing robot. The invention aims to solve the problems that an existing water gauge identification method is not easy to perform water gauge reading in a short distance and data reading is inaccurate. The method comprises the steps that carrying out scale calibration and reference identification coordinate alignment on the t frame, the t-1 frame and thet+1 frame of collected continuous k frames of water level images to obtain a fused image; performing curve fitting on the waterline discrete points of the fused image; obtaining the image parameters of the fused image, and calculating water surface scale values in combination with a fitting waterline; obtaining water surface water gauge scale readings based on k-2 water surface scale values. According to the invention, the wall-climbing robot is adopted to acquire video data at a short distance and read the scales of the image water gauge, so that the danger is reduced. The labor cost is saved. The efficiency and accuracy are improved. The systematic management is realized, and storage, management and search are easy in operation.

The invention provides an autonomous navigation robot based on a global wheel. The autonomous navigation robot based on the global wheel comprises a distance detector, a main controller, a rechargeable lithium battery, a microcomputer, a control platform, a drive motor, an omnidirectional wheel, a spherical tyre, a tyre support, a buffer mechanism, a bullseye wheel, a robot support and a tyre drive mechanism. The robot support comprises the tyre support and the control platform; the tyre support is arranged on the outer side of the spherical tyre in a sleeving manner; the control platform is arranged above the tyre support; the tyre drive mechanism comprises at least three groups of drive wheels and drive motors; the drive wheels are respectively connected with the corresponding drive motors; the drive motors are connected with the main controller; the distance detector is connected with the main controller; the main controller and the distance detector are arranged on the control platform; the at least three groups of drive wheels are arranged on the surface of the spherical tyre and are rotatably connected with the surface of the spherical tyre.

The invention provides a winding force dynamic detection method for compression treatment. According to the detection method, the winding force of a bandage during the compression treatment is detected in real time, the detection of winding force is carried out by distributing flexible sensors at compression treatment areas of a patient, the data of the sensors is transmitted to an information processing unit, and the information processing unit filters and corrects the data and sends the data to a display unit. Interference factors introduced by the bandage and skin elasticity are eliminated,and the detection is accurate and fast.

The invention discloses a fatigue test crack monitoring method and device, and the method comprises the steps: building a crack evaluation information base, calculating the length, number, position and form of a crack, and comprehensively evaluating the danger level of the crack according to the information in the crack evaluation information base. According to the fatigue test crack monitoring method and device, crack monitoring is achieved through the visual processing technology, the fatigue damage critical point can be accurately judged, and test piece failure information and data accuracyare more completely reserved; in addition, a crack evaluation information base is established, after the length, the number, the positions and the forms of the cracks are calculated, the danger levels of the cracks are comprehensively evaluated according to information in the crack evaluation information base, the actual harmfulness of the cracks to the components is comprehensively evaluated, and the requirements of actual engineering under various component testing conditions and application scenes are met.

The invention discloses a hardware automatic test tool and test method based on the Internet of Things and belongs to the technical field of automatic testing. The test tool comprises a to-be-tested terminal device testing device, a serial port debugging tool and a cloud data acquisition management system; the to-be-tested terminal device testing device uploads physical information, a function testing process and a testing result of a to-be-tested terminal device to a serial port debugging tool; the serial port debugging tool is used for receiving serial port physical information of the to-be-tested terminal device and test options for each function, and comprises communication protocol encapsulation and communication protocol analysis; the cloud data acquisition management system is usedfor managing device information, receiving instrument data acquired by the to-be-tested terminal device and analyzing the device data by applying data acquisition driving software. According to the test tool disclosed in the invention, the consistency of test result standards can be ensured, quality testing efficiency is greatly improved, and human resources and time cost are greatly reduced.

A two¿Crange conversion potential difference meter with four measuring discs and applying transposition branch is composed of four measuring discs as 20x 8 omega, 10x 0.88 omega, 9x 1.76 omega and 10x 0.176 omega as well as two ranges. It features that all measuring resistances are connected directly by conducting wire to exclude contact resistance and variation from measuring ¿C stepping switch out of measuring result and integer power of one or two digit number multiplying by ten is used as value of resistance being used for range changeover.

The invention discloses an electroencephalogram-based polygraph system, and belongs to the field of polygraph systems. The electroencephalogram-based polygraph system comprises an electroencephalogram collection sensor system, an electroencephalogram signal preprocessing system, an electroencephalogram signal feature extraction system, an electroencephalogram signal classification modeling system, a database supporting system, a computer analysis system, and a computer display system. The electroencephalogram-based polygraph system can realize the utilization of an AR model for processing interference signals, and the AR model and an adaptive predictor based on an ARMA model are used for effectively avoiding errors caused by the interference signals so as to eliminate interference factors, at the same time, the system collects data signals from a plurality of not-lying subjects with high psychological quality and a plurality of lying subjects with high psychological quality respectively, the collected data are stored in a data storage system, and the data signals from the suspects and the subjects are analyzed and compared by a computer analysis system so as to obtain a rationalized polygraph result.

An earthquake monitor in a mine area comprises a rotary base, a semispherical platform, a left and right rotary frame, an up and down rotary frame and a detector, wherein the left and right rotary frame and the up and down rotary frame are installed above the rotary base, the semispherical platform is horizontally arranged in the left and right rotary frame, the up and down rotary frame is sleeved outside the left and right rotary frame, circle centers of the semispherical platform, the up and down rotary frame and the left and right rotary frame are overlapped, the semispherical platform is fixedly connected with the left and right rotary frame, the up and down rotary frame is connected with the left and right rotary frame, the left and right rotary frame is connected to the rotary base, and a third hinged rod is inserted into the upper end of the left and right rotary frame. The detector is installed on the semispherical platform and comprises an infrasonic wave resonance device, a sphere geomagnetic field disturbance inductive device, a power source and a transformer. The earthquake monitor in the mine area is simple in structure, convenient to use, and capable of avoiding infrasonic wave disturbance due to factors of large-sized machinery working or blasting in a mine and the like. Interference factors are eliminated, earthquake detection is enabled to be more precise, and the monitor can be simultaneously regulated once more to detect and verify existence of a geological disaster when an earthquake is detected.