446results about How to "Detection time is short" patented technology

The invention relates to impulse response analytical test apparatus and method for detecting deformation of transformer winding, belonging to the technical field of transformer winding detection. The apparatus mainly comprises an impulse generator, a broadband digital oscilloscope, a computer, a high-voltage probe, a head end signal impedance matching device, a tail end signal impedance matching device and a screened coaxial cable. In the method, site test and analysis are carried out by using the apparatus. The invention has the advantages of high test sensitivity, rapid detection, strong capacity of resisting disturbance and flexible analytical method, and can detect slight deformation of the transformer winding and judge early potential faults effectively with high judging accuracy. The invention can be widely applied to the detection of the deformation of the transformer winding and the state overhauling.

The invention relates to the technical field of image processing, and provides a lane line identification method and device, equipment and a storage medium, and the method comprises the steps: carrying out the preprocessing and edge detection of a lane image, so as to obtain the position coordinates and direction angle of an edge point; Acquiring the position of the vanishing line in the coordinate system; according to the candidate vanishing point coordinates on the vanishing line and the position coordinates and direction angles of the edge points, voting the candidate vanishing points in avoting function to determine vanishing point coordinates, and according to the number of the edge points of different direction angles recorded by the candidate vanishing points, sorting to obtain parameter information of a straight line; performing Confidence coefficient calculation according to the parameter information of the straight line to obtain a reference lane line; According to the technical scheme, the fuzzy lane line edge can be effectively detected, noise can be restrained, the detection time of the vanishing point and the straight line is short, the accuracy is high, and the laneline recognition real-time performance is improved.

The invention relates to a method and a device for rapidly and quantitatively detecting a tumor marker with an immunochromatography test strip marked by quantum dots. The method comprises the following steps of: replacing collaurum particles by using quantum dots as a signal marker, coupling with an antibody corresponding to the tumor marker to be tested, and spraying or directly coating on a conjugate releasing pad, wherein the antibody on another site corresponding to the tumor marker and a second antibody are coated on a nitrocellulose membrane to form a T line and a C line respectively; assembling a sample pad, a combining pad, a reaction membrane and a water absorbing pad according to a certain sequence to prepare the immunochromatography test strip; detecting qualitatively and quantitatively according to fluorescent stripes presented on the T line and the C line and the strength of fluorescence; and providing a quantum dot fluorescence immune detection device. The detection device is simple, the operation is simple and rapid, the time consumption for detection is short, and the result judgment is easy. The method and device are particularly suitable for early-stage screening, diagnosis, judgment prediction and prognosis of the tumor markers in households, communities, hospitals and the like, and evaluation of treatment effect and followed observation of high risk groups.

The invention discloses a corona detection method based on ultraviolet photons, and the method comprises the following steps: (1) detecting a corona signal; (2) processing a pulse signal; (3) calibrating detection data; and (4) storing and analyzing the detection data. The detection method disclosed by the invention is convenient to operate and stable in test process, the data is reliable, and users can visually obtain the detection result by using the detection method. By utilizing the method provided by the invention remote non-contact detection based on the radiation of ultraviolet light generated by the detected corona can be realized, the time consumed in the detection process is short, the result is accurate and does not need to be solely processed by a computer, a report database can be generated, and the overall system is simple to operate and convenient to carry.

The invention belongs to the field of gene sequencing, and discloses an establishment method for a small fragmental DNA (Deoxyribose Nucleic Acid) library based on an Ion ProtonTM sequencing platform, and a relevant solvent composition solution. The establishment method disclosed by the invention comprises the steps of DNA sample extraction, tail end repairing, fragment selection, joint connection, PCR (Polymerase Chain Reaction) amplification, library detection, high-throughput sequencing and the like, wherein a reagent I, a reagent II and a reagent III are respectively adopted in the steps of tail end repairing, joint connection and PCR amplification. The establishment method disclosed by the invention is precise and simple in step, simple to operate, small in reagent variety and low in cost, the loss and waste of the library are reduced, and the working efficiency is improved; in addition, the establishment method can be applied to noninvasive antenatal diagnosis on pregnant woman peripheral blood fetus chromosome aneuploid based on the Ion ProtonTM sequencing platform, the diagnosis result is high in accuracy rate and is safe and economic, and the birth rate of chromosome aneuploid fetuses can be effectively controlled.

The invention discloses a cover defect detection method based on image processing. The method comprises steps that S1, an excircle contour radius and glue injection zone width of a standard image are acquired in a man-machine interaction mode; S2, edge detection on a to-be-detected cover image is carried out to determine an edge image; S3, edge tracking of the edge image is carried out to acquire edge points, edge fitting of the edge points is carried out to acquire a fitting circle center position and a fitting radius; in combination with the glue injection zone width of the standard image, the fitting circle center position and the fitting radius, the glue injection zone is determined; and S4, cover defect detection and identification are carried out. Through the method, properties of short time, high efficiency and good timely detection effect are realized, and the excellent detection effect is acquired in an actual production line.

This invention relates to a method for testing insulator remote surface corona based on an optical amplifier including: a, aligning an optical location system to a discharge position of a being tested compound insulator to get an ultraviolet signal generated by weak discharging along the surface of the insulator to be amplified by the optical amplifier and converted to an electric signal to be collected, stored and analyzed by a computer with a data collection method to decide the corona position and acute state of its discharge.

The invention discloses an online detecting device for a turbocharger. The device comprises a bearing lubrication system, a compressor end test system, a turbine end test system, a vibrating sensor (207) which is in contact with a casing of the turbocharger, a noise sensor (310) which is close to a turbine end of the turbocharger and a velocity sensor (105) which is close to an impeller of a compressor end of the turbocharger. The invention also discloses a method for using the online detecting device for the turbocharger to perform online detection on the turbocharger. The method can be used for detecting whether the flow of lubricating oil, the temperature of the lubricating oil, the pressure of the lubricating oil, the starting torque, the turbine end air outlet, the turbine end air inlet, the compressor end air outlet, the compressor end air inlet, the vibration and the noise are qualified or not. According to the online detecting device and the method, the consumed detection time is short, the cleanliness of the inside of the turbocharger is not influenced, and each turbocharger can be detected to guarantee that each turbocharger leaving the factory is qualified.

The invention discloses a detection kit and a detection method for 8 species of pathogenic bacteria in dairy products, which are used for food microbial contamination monitoring and detection. The kit comprises a detection solution A and a detection solution B, wherein the detection solution A and the detection solution B both contain 10 millimols of Tris.HCl, 50 millimols of KCl, 25 millimols of MgCl2, 2.5 millimols of dNTP and Taq DNA polymerase with a concentration of 5U/mu L and contain specific primer pairs of respective 4 species of target bacteria in an amount of 10 mu M each. The detection kit and the detection method of the invention can detect the 8 species of pathogenic bacteria in the diary products with high sensitivity, is short in detection time, simple and quick in operation, and can save a large amount of labor and financial resources and meet requirements for quick detection.

The invention belongs to the field of computer deep reinforcement learning and pattern recognition, particularly relates to a three-dimensional visual inspection method, system and device based on a shape attention mechanism, and aims to solve the problems that the precision of a single-stage detector is lower than that of a two-stage detector, and the two-stage detector consumes a large amount oftime and is not suitable for a real-time system. The method comprises the steps of representing point cloud data through three-dimensional grid voxels; extracting features and encoding a spatial sparse feature map; after projecting to a top view, extracting different scale features; combining the features by adopting a deconvolution layer; extracting a shape attention feature map through the attention weight and the convolutional coding layer; and obtaining a target category, a target position, a target size and a target direction through the target classification network and the regression positioning network. According to the method, a sampling strategy based on distance constraint and an attention mechanism based on shape prior are used, instability caused by uneven data distribution is relieved, the problem that a single-stage detector lacks shape prior is solved, and the method is high in precision, short in consumed time, high in real-time performance and good in robustness.

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 discloses a method for detecting a Miltenberger blood group antibody. The method comprises the steps of coupling nano magnetic beads with avidin to form avidin magnetic beads; coupling the avidin magnetic beads with a multipeptide antigen with a biotin-modified tail end, and closing non-coupled sites to obtain immune magnetic beads; uniformly mixing the immune magnetic beads with a detection sample, then performing incubation and washing, adding fluorescence labeled second antibody or enzyme-labeled second antibody, performing incubation and washing, and measuring a result. In the mode, the method for detecting the Miltenberger blood group antibody based on nano magnetic bead immunoassay is low in operation difficulty and is simple and convenient to operate, can be used for simultaneously detecting complete antibodies and incomplete antibodies; the detection process is short in time, and the result is easy to judge; automation is easily realized, and the detection result is accurate; in combination with a detector, semi-quantitative or quantitative detection can be realized; clinical safe, effective and scientific blood transfusion can be guaranteed.

The invention discloses an exercise coordination capacity simple detection system. The system utilizes a wearable technology to integrate and wear a sensor on the palm part of a detected person; obtaining exercising state data of the detected person by using a mode of following demonstrating exercise; transmitting the data to a data analysis module by wireless data transmission; analyzing and assessing the exercising state by relating analysis; at last quantizing the assessment result of the exercise coordination capacity of the detected person and displaying visually, and thus achieving the simple detection on the exercise coordination capacity.

The embodiment of the invention provides an underwater image target detection method and system, comprising the following steps: obtaining an underwater image to be detected, and utilizing MS-CNN denoise algorithm and dark channel prior denoising algorithm preprocess that underwater image to be detected to obtain a first image; inputting the first image into the trained preset feature pyramid network FPN, and outputting a target detection result; wherein the convolution layer of the preset FPN is a PVA network and a C. ReLU structure is added. As the underwater image to be detected is preprocessed, the improved FPN is used to detect the target from the preprocessed underwater image and output the target detection results without manual feature design. The detection process is time-consuming and the detection results have high accuracy. It can be well adapted to the practical application requirements such as automatic detection and automatic fishing.

The invention relates to the technical field of image processing, and provides a lane line detection method based on vanishing point estimation and semantic segmentation. The lane line detection method comprises the following steps: firstly, detecting a vanishing point through a convolutional neural network, secondly, performing inverse perspective transformation of self-parameter learning throughestimated vanishing point coordinates, and projecting an image into an overlooking view angle easy for network learning. In the top view, binary segmentation is carried out through a semantic segmentation network, then post-processing instantiation is carried out, and a lane line fitting equation is obtained and displayed in an original image. According to the method, the problem of lane line detection in different road scenes is solved by utilizing the strong feature extraction capability of the convolutional neural network, and the time of instantiation operation of a lane line detection algorithm is saved. According to the technical scheme, the edge of the fuzzy lane line can be effectively detected, noise is suppressed, time consumed for detection of vanishing points and straight lines is short, accuracy is high, and lane line recognition real-time performance is improved.

The invention discloses a DDoS attack detection method combining an SVM and an optimized LSTM model under SDN network architecture. The invention relates to the technical field of information and communication, in particular to a DDoS attack detection method combining an SVM and an optimized LSTM model under SDN network architecture. The invention provides a DDoS attack detection method combiningan SVM and an optimized LSTM model under SDN network architecture. A time sequence can be classified and determined; detection and judgment are carried out through the traffic characteristics in a period of time, so that a false alarm problem caused by a single machine learning classifier to individual abnormal traffic is reduced, the misjudgment rate of the traffic in the initial stage of the network due to the sensitivity of the LSTM model to data can be reduced, the detection time consumption is reduced, and the system burden is reduced.

The invention relates to the technical field of detection of mixing materials, in particular to a method for detecting content of mud in limestone. The detection method particularly comprises the steps as follows: A, preparing a standard sample, that is, obtaining mine soil samples to prepare mud powder with a grain size smaller than 0.08mm, obtaining mine limestone, screening limestone samples with a grain size larger than 0.08mm and limestone powder with a grain size smaller than 0.08mm, and preparing a methylene blue testing sample by using the mud powder, the limestone powder and the limestone according to the following principles; B, detecting consumption V of methylene blue solution of the standard sample obtained in the step A by using a methylene blue testing method and building a corresponding relationship among V, P and W; and C, obtaining W1 of the to-be-detected sample obtained through a passing rate P1 of the to-be-detected sample with a grain size smaller than 0.08mm, the consumption V1of a methylene blue solution and the relationship among the V, the P and the W in the contrast step B, so as to obtain the content of mud in the sample to be detected. The detection method is accurate in test result and short in time for detection.

The invention provides a device and a method for testing fruit interior quality. The device comprises a detection sensor and an amplifier, wherein the detection sensor comprises an exciting element and a receiver; the exciting element is connected with the input end of the receiver; the output end of the receiver is connected with the amplifier. The device and the method have the beneficial effects of being suitable are suitable for performing nondestructive testing on various kinds of fruits, sample pretreatment is not needed, and testing time consumption is short; the results tested by the device for testing the fruit interior quality can be output in multiple forms and can be displayed on a native machine; the device also can be directly connected with monitoring equipment in an on-line form so as to easily realize high-speed on-line real-time monitoring and control; the device also can exchange the data with mobile internet; the device for testing the fruit interior quality is small in size, convenient to carry and easy to operate and low in production cost, and has a simple structure; moreover, popularization and application are facilitated.

The invention discloses a PCR primer pair for identifying or assisting identification of an animal tissue / or an organ and application thereof. The primer pair provided by the invention is at least one from five PCR primer pairs for identifying or assisting identification of cattle, sheep, pig, chicken and duck tissue / or organ, wherein the PCR primer pair for identifying or assisting identification of pig tissue / or organ is always included. The five PCR primer pairs for identifying or assisting identification of cattle, sheep, pig, chicken and duck tissue / or organ respectively consist of two DNA single chains shown as a sequence 1 and a sequence 2, two DNA single chains shown as a sequence 3 and a sequence 4, two DNA single chains shown as a sequence 5 and a sequence 6, two DNA single chains shown as a sequence 7 and a sequence 8, and two DNA single chains shown as a sequence 9 and a sequence 10 in the sequence table. An annealing temperature of 62 DEG C is employed for the five primer pairs to complete all PCR identifications at once and at a same temperature; besides, the PCR primer pair has strong singularity and a short detection time.

The invention discloses a detection kit for identifying and diagnosing whether an equine animal is infected with piroplasmosis or not, and a preparation method and a using method thereof. A detection film for detecting equine piroplasmosis and a piroplasmosis universal primer are arranged in the kit for detecting the equine piroplasmosis. The using method of the kit comprises the following steps:extracting DNA (deoxyribonucleic acid) from blood of a horse to be detected, further using the piroplasmosis universal primer to perform amplification, combining an amplification product with the detection film, enabling biotin at the terminal of a PCR (polymerase chain reaction) product to be in action with streptavidin-peroxidase, and then playing a catalysis role in enabling a substrate of peroxidase, namely an enhanced chemiluminescence reagent (ECL-detection) to emit fluorescence, thereby exposing an X-photosensitive film; and performing development and fixing treatment on the film so asto emerge a shadow in a region corresponding to specificity hybridization of a probe on the detection film and the PCR product, and further judging whether the detected animal is infected with the piroplasmosis or not according to whether the shade is left on the film or not.

The invention provides a test kit a testing method for staphylococcus aureus toxin gene in food. The kit comprises test solution A and test solution B, wherein the test solutions A and B respectively contain 10mM of Tris.Cl, 50mM of KCl, 25mM of MgCl2, 2.5mM of dNTP respectively, 5U/mu L Taq DNA polymerase, and 10 mu M of toxin gene primers of ETA, SEB, SEC, SEE, SEI and SEA respectively, or 10 mu M of toxin gene primers of SEJ, ETB, TSST, SED, SHE and SEG. The test kit and the testing method can high sensitively test 12 staphylococcus aureus toxin genes in food, have short testing time and simple operation, can save mass labor and financial power, and can meet the requirement of quick testing.

An FCM based method for quickly and quantitatively detecting total viruses in a freshwater environment belongs to the field of biotechnology and water environment monitoring, and comprises six main steps including film filtration, settlement, storage, coloration, dilution and detection. The specific operation processes are as follows: passing a sampled water sample through a 0.22 micrometer filter film; adding glutaraldehyde, settling glutaraldehyde for 15 minutes at the temperature of 4 DEG C, and then refrigerating glutaraldehyde by liquid nitrogen; storing glutaraldehyde in a refrigerator at the temperature of minus 80 DEG C; adding Na2EDTA and fluorescent dye SYBRGreen I before detection, and performing coloration for 10 minutes at the temperature of 80 DEG C; diluting the sample by Milli-Q water after the sample cools down to the room temperature; and using the flow cytometer to detect. The method disclosed by the invention overcomes the problem that the present detection method for freshwater total viruses is time consuming and labor consuming, realizes quick and quantitative detection of the freshwater viruses, and has a wide application prospect in fields such as freshwater virus detection and aquatic bioecology study.