218results about How to "Detection fit" patented technology

The invention discloses a self-adapting random resonance weak signal detection method, which achieves the self-adapting detection of weak periodic signal through combining a matching random resonance and an imposed signal induced random resonance. According to the theory of random resonance, firstly, numerical simulation is processed to receive correspondence between the noise intensity and the frequency of the best matching random resonance of a nonlinear bistable system in a range of extremely low frequency and under the condition of small-signal; and a high-frequency weak signal encountered in a project can be processed by using the change of normalized scale. For the detection of a weak signal with extremely low message-to-noise ratio and large noise intensity, the heights of voltage barriers of the bistable system can be changed by using the induced random resonance, thereby helping a weak eigenfrequency signal to fulfill the transition between voltage barriers, so that the bistable system reaches the random resonance state, thereby achieving the self-adapting detection of the weak periodic signal.

Disclosed is a numerical control machine tool rotating shaft geometric error three-wire measurement method. High-accuracy calibration of space coordinates of a laser tracker base station can be rapidly finished by the aid of a cat eye and a rotatable cat eye bracket, the influence of a machine tool system error is eliminated by calibration accuracy, rotating movement of three fixed points of a single rotating shaft of a machine tool around an axial line is successively measured at four different measurement positions by the aid of one laser tracker, the cat eye and the rotatable cat eye bracket, real-time poses of the rotating shaft are calculated by the aid of continuous movement tracks of the three fixed points in a space, errors of the rotating shaft of the machine tool are identified, acquired information of the machine tool is rich as the real-time poses of the moving shaft are measured, an error identification algorithm is quite simple and applicable to rapid data processing and rapid compensation of the machine tool errors. The numerical control machine tool rotating shaft geometric error three-wire measurement method has the advantages of low cost, high accuracy, rapidness and simplicity in operation, rich measurement information and the like, and is suitable for accuracy detection in the field of numerical control machine tools.

The invention relates to a multi-parameter field automatic measuring and sorting system. The multi-parameter field automatic measuring and sorting system is provided with a conveyor belt for conveying a cylinder sleeve part to be measured, wherein one side of the conveyor belt is successively provided with an automatic feeding mechanism for automatically transporting each cylinder sleeve part to be measured on the conveyor belt, a first measuring station for carrying out high-precision measurement on a physical dimension and a form and position error of the cylinder sleeve part to be measured, a second measuring station for obtaining the outline information of the cylinder sleeve part as well as an automatic separation mechanism for automatically carrying out classifying selection on the cylinder sleeve parts with different standards according to the measuring results along the length direction of the conveyor belt. The distance between the cylinder sleeve parts on the conveyor belt is the setting distance d, the distance d guarantees that the first measuring station and the second measuring station can carry out the next measurement simultaneously. The multi-parameter field automatic measuring and sorting system provided by the invention has the characteristics of high precision and high efficiency, a workpiece body with the narrow space volume is measured, the high precision measurement is easy to realize, each parameter automatically generate a data report, and the detection data is automatically saved.

This invention uses browser to check Troy virus wed belonging to computer safety field, which realizes rapid and accurate checking on web Troy web through system process adjusting and memory change. This invention basic principle must generate one new process browser when checking hidden Troy virus through rapid checking on the web through system monitoring to solve the virus web to provide user with safe net environment.

The invention discloses an RT-LAMP (loop-mediated isothermal amplification) rapid detection kit for cucumber green mottle mosaic virus (CGMMV) and a detection method. The method comprises the steps of extracting plant viruses RNA, detecting an RT-LAMP reaction and electrophoresis detection or fluorochrome, and determining whether a plant carries the viruses. An RT-LAMP primer is designed according to a coat protein gene conserved region of CGMMV, and an RT-LAMP technology is adopted to establish a detection technology which can rapidly and sensitively detect the cucurbitaceous plant CGMMV such as cucumbers, watermelons and calabashes with high specificity and an application method thereof in diagnosing disease. The detection method provided by the invention can utilize the rapid extraction RNA and conventional RNA extraction as an RNA template for an RT-LAMP experiment. The method is utilized to rapidly identify a CGMMV plant sample, the targeted quarantine inspection protective measure is adopted, and the loss caused by the disease is reduced.

The invention discloses a hyper-blocking fluorescence quantitative PCR method with high sensitivity for detecting rare mutation. The invention adopts specific primers and a probe technology and can rapidly detect gene point mutation in a blood sample. The method has the advantage that (1) the conventional ARMS primers are modified by LNA or mismatched bases are introduced into 3' tail 2th site totail 3th site so that the sensitivity of the mutation detection is not influenced and the specificity of the single base mutation based on the mutation specific primers is guaranteed, (2) the modifiedblocker probe completely complementary to the wild type gene is introduced so that the wild type background interference is further reduced with keeping the efficiency of the mutant amplification, (3) based on the high specificity modified blocker probe, the ARMS primers can detect different base mutation forms at the same site at the same time so that multiple sites in the same gene can be detected by only a few systems, (4) sensitivity is high and (5) a detection rate is fast.

The invention discloses a traffic signal detection and identification method based on a cascaded network, and relates to the technical field of image processing and sign identification. The method comprises the following steps that S1) an original image is collected; S2) the original image is detected to obtain a candidate area which may include a traffic signal or lamp, the trained three-order cascaded network composed of a 12-net, 24-net and 48-net is used for detection in a detection process; and S3) the candidate area is identified, the candidate area without the traffic sign or lamp is eliminated, and concrete types of traffic signs and lamps are obtained. The traffic signs and lamps can be detected at the same time, and the problem, in a present traffic sign detection and identification technology, that missing detection is caused by influence of illumination on a color space, small difference between the traffic signal and the background environment and connection of multiple traffic signs can be solved.

The invention discloses a method and a measuring device thereof for measuring the granularity distribution of the particle in the discrete state, and the method and the measuring device thereof to the technical field of ultrasonic measurement. The invention aims at solving the technical problem of non contact measurement of the distribution of the particle granularity in the discrete state. The measuring device includes a computer which applies a complex wave number, a objective function, a distillation function and other calculation formulas to optimize the calculate the distribution of the particle granularity, a signal process circuit which is connected with the computer, a pulse wave launch/receive circuit which is connected with the signal process circuit, a broadband transducer which is connected with the pulse wave launch/receive circuit, and broadband transducer is arranged at the external side of a test plate. The measuring device is controlled by the computer, and the launch circuit sends out a pulse signal; a trigger transducer sends out the sound wave which is reflected by the wall of the test plate for a plurality of times and then is received by the transducer, and then the signal process circuit amplifies the signal, the high speed module coverts the signal and sends to the computer for processing. The invention is characterized in that the invention can completely realize the non contact measurement, and measure the high consistency and the two-phase flow of the high attenuation particle on line.

The invention discloses an ELISA (Enzyme-Linked Immunosorbent Assay) antibody detection kit for distinguishing and diagnosing capripox field virus infection. The indirect ELISA antibody detection kit for distinguishing and diagnosing capripox field virus infection, disclosed by the invention, is internally provided with a coated antigen ELISA antibody detection board and an ELIAS secondary antibody, wherein the coated antigen is a mixture of a recombination capripox virus ORF95 protein and an ORF103 protein. The recombination proteins of ORF95 and ORF103, adopted by the invention, are convenient to prepare and purify in large quantities. The kit disclosed by the invention has a strong specificity, can effectively exclude the interference of the capripox attenuated-vaccine immunity, and specifically detects the capripox field virus infection.

The invention provides a micropapilla detection system based on YOLOv5. The micropapilla detection system comprises a lung adenocarcinoma pathological image acquisition module, a detection model training module and a micropapilla detection module; a feature extraction module in the detection model training module adds a layer of feature extraction on the basis of a BottleneckCSP network structure to obtain a shallow feature map, so that the multiple of downsampling of the feature extraction module is reduced by half; the feature fusion module is used for down-sampling the shallow feature map and splicing the shallow feature map with the deep feature map, so that the features of the shallow feature map and the deep feature map are fused, and the small target detection capability of the network is enhanced; and the prediction module replaces the GIoU loss with the CIoU loss, optimizes the prediction frame, improves the regression speed and precision of the prediction frame, and is more suitable for the detection of micronipples.

The invention discloses a microwave detection method and microwave detection equipment for moisture contained in coal on mine conveyor belts, and belongs to the technical field of the detection of water content in the coal. The microwave detection method comprises the steps of: 1) determination of microwave frequency; 2) determination of the relation between the water content of the coal and the attenuation of microwave signals; 3) error correction; and 4) acquisition of the water content of the coal by fitting a relation curve between the attenuation of the microwave signals and the water content of the coal. The method can quickly detect the water content of the coal on the conveyor belts, is not susceptible to the external environment, and is suitable for detecting the moisture contained in the coal on the conveyor belts.

The invention relates to a testing agent for detecting ammonia nitrogen in water. The testing agent comprises A, B two packages, wherein the A is packaged by grinding and mixing sodium tartrate, natrium salicylicum, citric acid trisodium and nipride; the B is packaged by grinding and mixing sodium-hydroxide, lithium hydrate, citric acid trisodium, babysafe, symclosene and symclosene. When use the testing agent, adding a pack of A into sample water, adding a pack of B after placing 2 minutes, the water will display blue-green color if there's ammonia nitrogen in the water, and the darkness of the color is in proportion to the concentration of the ammonia nitrogen; placing 10 minutes, comparing it with the standard color matching card, color matching disc to read the concentration of the ammonia nitrogen in the water.

The invention relates to a one-step RT-PCR (Reverse Transcription Polymerase Chain Reaction) detection reagent kit for Cucumber green mottle mosaic virus and a detection method thereof. The reagent kit comprises the following various agents for a one-step RT-PRC reaction: an upstream primer of Cucumber green mottle mosaic virus, a downstream primer of Cucumber green mottle mosaic virus, a PCR Buffer, Mgc12, dNTPs, an RNA enzyme inhibitor, a reverse transcriptase, a DNA polymerase, positive control containing Cucumber green mottle mosaic virus and negative control containing no Cucumber green mottle mosaic virus and RNase-free ddH2O. The invention has the advantages of simple preparation method and convenient large-scale industrialized production, and the detection method has the advantages of simple and convenient operation, high sensitivity, strong specificity and good accuracy. The whole detection process is accomplished in a PCR tube and suitable for rapid detection of a batch of samples, thereby simplifying the operation procedure, reducing the detection time, avoiding the cross contamination, and improving the detection efficiency.

The invention relates to the technical field of spectra, in particular to a circulating tumor cell detection method based on a surface-enhanced Raman spectroscopic probe. The method includes the steps: building the surface-enhanced Raman spectroscopic probe taking luteinizing hormone-releasing hormone as a targeting molecule; using the surface-enhanced Raman spectroscopic probe for circulating tumor cell detection. The surface-enhanced Raman spectroscopic probe is rapider, more convenient and lower in cost when being used for circulating tumor cell detection, has enough specificity and flexibility for circulating tumor cell detection and can provide a feasible strategy for clinical practice.

The invention relates to a pretreatment method for quickly detecting residual quantity of various pesticides in tomato sauce. The method comprises the following steps: extracting, purifying, filtering and the like. The invention further relates to a method for quickly detecting the residual quantity of the various pesticides in the tomato sauce by using the pretreatment method and then using different instrument detecting methods.

The invention relates to the three-phase inverter output line voltage detection technology, concretely relating to a detection method of three-phase inverter output line voltage. A common switching mode optoelectronic coupler and a resistance dividing potential drop unit are employed to form a three-phase inverter output line voltage detection circuit to detect the three-phase inverter output line voltage. The three-phase inverter output line voltage detection circuit comprises the resistance dividing potential drop unit between output terminals of a three-phase inverter, the optoelectronic coupler and a filtering amplification circuit at a secondary edge of the optoelectronic coupler. The method in the invention is very suitable for detection of a PWM voltage waveform and has the advantages of photoelectric isolation, low cost, high response speed and capability of satisfying a requirement of three-phase inverter output line voltage detection.

The invention discloses a trace copper ion visual rapid detection method. High sensitivity visual rapid detection of Cu<2+> is realized by using a rhodamine B spiro lactam derivative as a Cu<2+> identification probe and combining Fe3O4 magnetic nanoparticles. According to the invention, visual rapid detection of trace Cu<2+> is realized by utilizing the characteristics that the rhodamine B spiro lactam derivative modified on the magnetic nanoparticles can be specially combined with copper ions and changes color (from faint yellow to pink purple) and utilizing the enrichment of the magnetic nanoparticles. The trace copper ion visual rapid detection method has the characteristics of speediness, simplicity, high sensitivity, visualization, high specificity, low cost and the like, and can be used for visual rapid detection of trace copper ions in various water environment samples.

The present invention relates to the technical field of analytical chemistry, and discloses a method for detecting beta-receptor agonist residual quantity in animal derived food, the method is based on a GB / T22286-2008 detection method, and aims at the defects of a long enzymolysis step for sample extraction of the GB / T22286-2008 detection method, a new sample processing step without enzymolysis is provided, detection time and cost are improved significantly, and the method has high accuracy, sensitivity and precision, and is suitable for detection of large quantities of samples.