576results about How to "Avoid detection errors" patented technology

The invention relates to an infrared photoacoustic spectroscopy detection device and method for decomposed components of sulfur hexafluoride under partial discharge, belonging to the technical field of partial discharge on-line monitoring of SF6 gas insulating electrical equipment. The device of the invention mainly comprises an induction voltage regulator, a corona free experimental transformer, a partial discharge free protective resistor, a standard capacitive voltage divider, a non-inductive resistor, a GIS analog element, a wide-frequency high-speed ultrahigh-capacity digital storage oscillograph and an infrared photoacoustic spectroscopy system. In the method of the invention, infrared photoacoustic spectroscopy detection is carried out on the decomposed gas of SF6 under partial discharge in the GIS analog element by the device of the invention. The invention has high sensitivity, little gas consumption, multiple detection components and strong anti-jamming capability, can effectively detect SF6, CF4, SO2F2, SOF2, SO2, HF and the like as low as 0.01 muL/L, and is suitable for on-line detection. The invention can be widely used for detection of partial discharge decomposed gas of SF6 in the SF6 gas insulating electrical equipment, especially the GIS equipment.

The embodiment of the invention discloses a method and system for detecting lithium metal separation of a lithium ion battery. The method comprises: charging testing is carried out on a lithium ion battery and voltage and capacity data of the lithium ion battery during the charging testing are collected; differential processing is carried out on the voltage and capacity data to obtain a dV/dQ curve; and according to the dV/dQ curve, the lithium metal separation state inside the lithium ion battery is determined. According to the invention, the data are processed and analyzed and thus the negative lithium metal separation of the lithium ion battery is detected accurately, so that a detection error caused by the human subjectivity is avoided and the influence on safety of the battery by thenegative lithium metal separation is eliminated and thus the service life and the safety of the lithium ion battery are improved. Moreover, the method and system are operated simply, conveniently, andefficiently; and the detection precision is high.

The invention discloses a pointer instrument positioning and identifying method based on machine vision. The position of an instrument panel in an instrument cabinet image is accurately positioned andan instrument reading is automatically recognized. The method comprises the steps of (1) acquiring the instrument cabinet image; (2) carrying out segmentation processing on the instrument cabinet image to obtain an instrument panel image; (3) preprocessing the instrument panel image; (4) acquiring all edge contours in the instrument panel image by using a Canny edge detection method; (5) findingall linear contours in the obtained edge contours by using Hough transform; (6) screening out the linear contours where a pointer in the instrument panel is located through length characteristics of the linear contours; (7) calculating an average value theta of an inclination angle between the two linear contours where the pointer is located; and (8) calculating out a pointer reading according toa linear relation between the linear inclination angle and an instrument scale. By the adoption of a positioning and detecting technology, the method has the characteristics of accurate positioning and reading, good anti-noise performance and efficient and rapid image processing.

The invention relates to an on-line quality detection system of motion belt material, comprising a parallel image sensor group constituted by at least two high-resolution linear CCD, a set of image transmission and process systems composed of a push-in local area network constituted by at least two DSP and a lighting system suitable for motion belt material. A high-speed CCD signal digital multiple circuit, an automatic control circuit of CCD sampling frequency based on the motion belt material speed, a data communication interface circuit between the CCD and DSP are built, then the real-time acquisition of the motion belt material image is realized without an image acquisition card and at the same time the strong image processing function of TMS320C6416 is applied on the image processing for the quality detection the motion belt material thus the collected image does not deform. The system is especially suitable for on-line quality detection of the motion belt material such as plastic film, textile fabric, paper or the like.

The invention discloses a correction method of a magnetic resonance system. The magnetic resonance system comprises an RF transmitting module, a gradient module and an RF receiving module. The correction method comprises the steps of executing a first pulse sequence, acquiring a first set of echo signals and acquiring a frequency domain phase of the first set of echo signals, wherein the first pulse sequence is a spin echo sequence; executing a second pulse sequence, acquiring a second set of echo signals and acquiring the frequency domain phase of the second set of the echo signals, wherein the second pulse sequence is a non-selective layer spin echo sequence; acquiring a system relative time delay according to the frequency domain phases of the first set of echo signals and the second set of echo signals, wherein the system relative time delay comprises a relative time delay between the RF transmitting module and the gradient module and a relative time delay between the RF receiving module and the gradient module; and performing compensation on the magnetic resonance system according to the system relative time delay. According to the correction method and the correction device, the relative time delay of the magnetic resonance system can be accurately acquired through phase operation on the echo signal. Furthermore the invention provides a correction device of the magnetic resonance system.

The invention discloses a turbidity sensor and a water body turbidity on-line detection method. The turbidity sensor is of a special structure; the phenomena that the turbidity detection accuracy is influenced by attaching pollutants in a water body on a transmitting lens is possibly avoided; the condensation water mist on the transmitting lens is prevented by virtue of heating so as to eliminate the influence of the mist of the transmitting lens on detection; scattered light of the water body is acquired by an annular photovoltaic conversion device in 360 degrees, so that the effective received quantity of the scattered light is increased to the maximum extent; and the signal of an operation amplifying device is not needed to be amplified to guarantee the stability and reliability of the turbidity sensor. By utilizing the water body turbidity on-line detection method of the turbidity sensor, output voltage values, acquired for many times of a photovoltaic conversion device, are used and a processing mode that the average value is taken is adopted; modes of heating and light control are combined during the detection process every time, so that the detection error caused by the mist of the transmitting lens and the unstable light sources is eliminated, and the turbidity detection accuracy is further guaranteed.

The invention provides a kit, primers, probe sequences and a method for detecting fetus chromosome aneuploid. The kit comprises the multiple pairs of specific primers and a plurality of specific Taqman probes all of which are designed according to 13#, 18# and 21# chromogene sequences of the human, and further comprises a reaction system used for digital PCR, wherein the nucleotide sequence of the specific primers and the specific Taqman probes is SEQ ID NO: 1-90. The detection method comprises the steps that firstly, the specific primers and the specific Taqman probes are designed according to the 13#, 18# and 21# chromogene sequences of the human; secondly, peripheral blood of a (12-23)-week pregnant woman is collected for plasma DNA extracting; thirdly, the reaction system of the digital PCR amplification gene sequence is prepared; fourthly, the numbers of 13#, 18# and 21# chromosomes of a fetus are calculated through digital PCR detection for the number of the chromosomes, digital PCR is used for detecting FAM and VIC fluorescence of all reaction units of a chip, and the copy number of the 13# chromosome, the copy number of the 18# chromosome and the copy number of the 21# chromosome are calculated respectively. By means of the kit and the method, the number of the 13# chromosome, the number of the 18# chromosome and the number of the 21# chromosome of the fetus can be efficiently, quickly and accurately detected without invasion, and the kit and the method are beneficial to clinic application and popularization.

The invention relates to a system and a method used for online detecting the defect of a fluoroplastic film, comprising a parallel image sensor device which consists of a plurality of high-resolution line array CCDs so as to obtain line array images, a control device used for the image sensor array, a control device of the line array CCD image sensor arrays is formed by a plurality of industrial control computers and touch screens and can achieve the synchronous control on a plurality of line array CCD cameras, an image transmission and processing device which is connected with the parallel image sensor device, consists of an industrial control local area network consisting of a plurality of industrial control computers and can achieve the parallel data transmission and data processing of a plurality of line array CCD sensors, and an illumination device which is suitable for the characteristics of the movable belt-shaped enwinding materials. The system and the method firstly apply the secondary differential of the pixel point match for the online detection of the fluoroplastic film, and avoid the measurement error caused by film motion. The system and the method can be widely applied to the industries such as avigation, electronics and electrics, chemical engineering, machines, building, textile, food, medical treatment and the like.

The invention discloses a bamboo forest pest recognition method based on a convolutional neural network model, and belongs to the technical field of agricultural and forestry pest recognition and classification. The method comprises the steps of collecting the bamboo forest pest sample image data; processing the pest sample image data of the bamboo forest to obtain a processed pest sample image data set of the bamboo forest; adopting a VGG convolutional neural network model, and optimizing the VGG convolutional neural network model; carrying out target pest identification and classification byutilizing the optimized VGG convolutional neural network model; developing a set of pest identifying and classifying method suitable for bamboo forests based on a VGGNet network structure, so that rapid identification and classification of common bamboo forest pests can be achieved, the automatic identification and classification can be achieved, and the identification accuracy is high.

The invention discloses a light-adjustable high-power LED driving power supply, comprising an alternating current input end filter unit, a rectification filter unit, a flyback conversion unit, an auxiliary power supply unit, a single-cycle control unit, a linear optically coupled isolation unit, a constant-current source output end, a constant-current control unit and a PWM (Pulse-Width Modulation) output light adjusting unit. The power supply disclosed by the invention has the advantages as follows: the flyback conversion unit of a main circuit is controlled by the single-cycle control unit;the single-cycle control unit outputs control signal according to output voltage, input current and reference voltage so as to control on and off of a switching tube in the constant-current source output end; therefore, the average value of the output voltage during a switching period is equal to a reference value; the constant-current control unit is provided with an Anti-windup controller whichis capable of effectively preventing integral saturation phenomenon in the control process, so as to keep linear continuity of the controller, keep the output current constant and improve control precision; and the output current is subjected to PWM adjustment so as to continuously adjust light and improve electric energy utilization ratio.

The invention relates to an online total nitrogen analyzer and a detection method thereof. The online total nitrogen analyzer comprises a peristaltic pump for providing sampling power, a metering module, a multiport valve, high-temperature and high-pressure valves, a detection module, and a high-temperature decomposition module, which are connected through a pipeline. The peristaltic pump is communicated with the metering module through the pipeline; the upper end of the metering module is communicated with the peristaltic pump, and the lower end is communicated with the multi-way valve; the multiport valve is communicated with a common pipeline of the metering module, the high-temperature decomposition module, the detection module, and a water sample, a measuring scale, a zero scale, liquid waste and at least one reagent pipeline in a reagent bin through different pipelines; the high-temperature and high-pressure valves are arranged at the upper and lower ends of the high-temperature decomposition module respectively, the lower end is communicated with the multiport valve, and the upper end is communicated with air. The online total nitrogen analyzer is small and compact in overall size, and simple in structure; the optical path design can eliminate interference of organic matters, the usage of the water sample and reagents is small, the treatment cost of the liquid waste is low, the expiration date of the reagents is long, the measurement is accurate, and the detection environment is stable.

The invention discloses a flatness detection method comprising the following steps: first, selecting a plurality of measurement points from a plane to be detected, and detecting the 3D coordinates of the selected measurement points through a probe; fitting out a plane and a surface about the heights of the measurement points based on the 3D coordinates of the measurement points; gridding the surface obtained by fitting, and getting the intersections of the surface and a grid and the coordinates thereof; and calculating the Z-direction distance between each intersection and the obtained plane, and taking the maximum value as the flatness value of the plane to be detected. According to the method, the 3D coordinates of the measurement points are detected, the obtained 3D coordinates of the measurement points are fitted by use of a least square method to obtain a plane, a surface is fitted using matlab and is gridded, the Z-direction distance from the intersection of the surface and the grid to the plane is calculated, and finally, the flatness of the plane to be detected is obtained. Detection error caused by a limited number of measurement points is avoided, and the accuracy of measurement is improved.

The invention discloses an optical detection system applicable to absorbed light detection and fluorescence detection, which comprises a cold light source, a first entrance slit, a second entrance slit, a third entrance slit, a first converging lens, a second converging lens, an optical filter converter, a photoelectric detector, a halogen lamp and a first optical filter. The cold light source, the first entrance slit, the second entrance slit, the first converging lens, the third entrance slit and the photoelectric detector are arranged on the X-axis coaxially sequentially, a detection tube holding to-be-detected substance is arranged between the first entrance slit and the second entrance slit, the optical filter converter provided with a second optical filter and a third optical filter is arranged between the first converging lens and the third entrance slit, and the halogen lamp, the first optical filter and the second converging lens are sequentially arranged on the Y-axis coaxially. The optical detection system can be used for absorbed light detection and fluorescence detection simultaneously, the detection tube is fixed during the absorbed light detection and fluorescence detection, and accordingly detection results of the optical detection system are high in accuracy.

In order to overcome the technical defects that in an existing vehicle-mounted detection system, the detection data volume is limited, a detection signal has poor synchronism, and the whole state detection and the whole performance evaluation of a vehicle system cannot be realized, the invention provides a small vehicle-mounted vehicle safety comprehensive detection system. The system takes an FPGA (Field Programmable Gate Array) as a core processor, and is combined with an external vehicle sensor and an A/D (Analog-Digital) conversion chip to comprehensively detect a driving state and a driving environment of a vehicle, collected GPS (Global Position System) time data is utilized to send out a synchronization pulse to control a vehicle-mounted sensor to sample data, the time synchronization of a detection signal of each vehicle-mounted sensor is ensured, the system does not need a computer or other core processing units such as a DSP (Digital Signal Processor) and an ARM (Advance RISC Machine), and the technical problems that in the existing vehicle-mounted detection system, the detection data volume is limited, the detection signal has poor synchronism, and the whole state detection and the whole performance evaluation of the vehicle system cannot be realized are solved.

The invention belongs to the technical field of lithium ion batteries. The invention particularly relates to a lithium ion battery charging lithium precipitation real-time detection method and system.The method comprises the following steps of: carrying out intermittent charging test on a lithium ion battery; when the electric quantity is increased by 1%, an SOC is switched off for 3s, the intermittent period voltage change (dV) and current change (dI) are collected, a resistance value (ZTR) is calculated through the ohm law (dU/dI), a distribution curve of the ZTR along with the charging capacity is drawn, and the lithium precipitation state in the lithium ion battery is judged according to the distribution curve of the ZTR along with the charging capacity. The system comprises a test acquisition module, a data processing module and a lithium precipitation judgment module. The negative electrode lithium precipitation of the lithium ion battery can be accurately detected at a low temperature (10 DEG C), detection errors caused by artificial subjectivity are avoided, the service life of the lithium ion battery is prolonged, the safety performance of the lithium ion battery is improved, operation is easy, convenient and efficient, and the detection precision is high.