1552results about How to "Shorten detection time" patented technology

The invention discloses a visual inspection system for appearance defects of a pressure sensor, and relates to the technical field of visual inspection of defects. Comprising a light source control module, an image acquisition module, an image preprocessing module, a feature extraction module, a defect identification module, an evaluation grading module, a result display module and a man-machine interaction module which are integrated on the appearance defect AOI equipment, and all the modules are connected through electric signals. According to the visual inspection system for the appearance defects of the pressure sensor, through the high-precision industrial camera and the advanced image processing technology, precise recognition of tiny defects on the surface of a product is achieved, compared with a traditional manual inspection mode, higher inspection precision is achieved, tiny scratches and sunken defects which are difficult to perceive by human eyes can be found, and meanwhile, the visual inspection system is convenient to use. The automatic detection process greatly shortens the detection time and improves the production efficiency, and the system can detect a large number of products in a short time.

The invention relates to the technical field of photovoltaic panel cleanliness detection, in particular to a photovoltaic panel cleanliness detection method which comprises the steps of data acquisition, image preprocessing, pollution feature extraction, cleanliness index calculation, cleanliness judgment, data output and result recording and feedback. According to the invention, pollution data is acquired through imaging equipment, and adaptive filtering and morphological analysis are combined, so that precise pollution feature extraction, detection precision improvement and system real-time calculation of a cleanliness index are realized, pollution conditions are fed back through a cloud platform or an Internet of Things interface, and the power generation efficiency of a photovoltaic panel is ensured. The system can also automatically trigger a cleaning device and control the cleaning process according to a cleanliness threshold value, full-automatic management is achieved, the labor burden is relieved, in addition, a machine learning algorithm automatically adjusts the threshold value according to environment monitoring data and seasonal changes, and parallel detection further optimizes the efficiency, shortens the detection time, improves the operation and maintenance effect and prolongs the service life of the photovoltaic panel.

The present invention discloses a system and method for quickly testing the anti-hydrolysis performance of LED chips, wherein the system comprises: a temperature and humidity regulator, the temperature and humidity regulator is provided with a cavity; a rotating device connected to the inner wall of the cavity, the rotating device can rotate along the inner wall of the cavity; a bracket, the bracket is a cup-shaped structure, the LED chip is mounted on the bracket and forms a conductive connection with the bracket; a test substrate, the bracket is fixed on the test substrate, and the bracket is conductively connected to the test substrate, and the test substrate is connected to the rotating device; the direction of the LED chip is adjusted by the rotating device, a reverse voltage is passed to the test substrate, and the temperature and humidity in the cavity are adjusted to perform an impact test on the LED chip. The direction of the LED chip is adjusted by the rotating device, and the hydrolysis speed of the LED chip is effectively accelerated, thereby shortening the detection time.

The invention relates to the technical field of path planning, in particular to a pipeline robot path planning and detecting method based on multi-data fusion, which comprises the following steps: collecting data from vision, ultrasound, magnetic flux leakage and laser radar, performing timestamp alignment and space coordinate correction on the data, performing data fusion and checking the consistency of the data, an environmental data set is generated. According to the method, by constructing the three-dimensional pipeline model, not only is visual representation of the pipeline provided, but also the understanding of the internal structure of the pipeline is enhanced, so that a maintenance team can make a repair strategy more effectively, and the robot is allowed to check in the most effective sequence through the access priority determined through cost-benefit analysis and the optimized access path; the detection time is shortened, the operation cost is reduced, instant fault diagnosis and quick response are ensured, the detection accuracy and the operation efficiency of the robot are remarkably improved, the pipeline detection efficiency and accuracy are remarkably improved, manual intervention is reduced, and the maintenance cost is reduced.

The invention discloses a colorimetric and fluorescent dual-mode nano-enzyme sensor. The colorimetric and fluorescent dual-mode nano-enzyme sensor comprises nano-enzyme, hydrogen peroxide and a colorimetric probe, wherein the nano-enzyme is prepared from ZrCl4, 2-aminobiphenyl dicarboxylic acid and Cu (NO3) 2 by a one-pot method; the colorimetric probe is TMB, can oxidize colorless TMB into blue oxTMB, generates an ultraviolet absorption peak at 652 nm, and has a strong fluorescence emission peak at 405 + / -5 nm. The zirconium-based metal organic framework UiO-67-NH2 with high stability is used as a carrier, Zr < 4 + > sites are replaced by part of Cu < 2 + >, the fluorescent nano-enzyme with peroxidase activity is formed, and the problems that free enzyme is difficult to recover, the stability is low and the like are solved.

The invention relates to the technical field of biological medicine, in particular to a reagent combination, a kit and a detection method for detecting a platelet activation marker PAC-1. The reagent combination comprises a first detection probe, a second detection probe, a third detection probe and a fourth detection probe, the first detection probe is at least formed by coupling DNA1 and a PAC-1 antibody 1; the second detection probe is at least formed by coupling a PAC-1 antibody 2 and DNA2; the third detection probe is DNA3 for marking fluorescent molecules; and the fourth detection probe is an antioxidant combined on a carrier molecule. When the reagent combination or the kit is used for detecting the PAC-1, the cost is low, whole blood can be used for detection, convenience and rapidness are achieved, meanwhile, artificial platelet activation in an in-vitro sample is avoided, in addition, the detection operation process is simple, the overall detection time is short, and the practical requirement for clinical detection of the PAC-1 is met.

The invention discloses a CDs / QDs (at) ZIF-8 probe, a preparation method of the CDs / QDs (at) ZIF-8 probe and application of the CDs / QDs (at) ZIF-8 probe to detection of tetracycline at three emission ratios, and belongs to the technical field of fluorescence sensing. The probe comprises ZIF-8 as well as a carbon dot and a cadmium telluride quantum dot which are encapsulated in the ZIF-8. The preparation method comprises the following steps: sequentially adding CDs and QDs into a 2-methylimidazole solution, uniformly mixing, dropwise adding a zinc salt solution, and reacting to obtain the CDs / QDs ZIF-8 probe. The probe can be used for performing three-emission-ratio fluorescent quantitative detection on tetracycline, and the detection limit is 14.2 nmol / L. The method is simple in synthesis steps and easy in condition control. The fluorescent color of the mixed solution of CDs / QDs ZIF-8 and tetracycline is changed from powder to green along with the increase of the concentration of tetracycline, the detection method is visual and rapid, the visualization effect is good, the detection gel can be prepared, the detection gel can be combined with a smartphone for use, and the method is simple, convenient to carry and convenient for field judgment.

The invention discloses a pole piece burr detection mechanism, and relates to the field of pole piece detection. The pole piece burr detection mechanism comprises a detection cabinet and a multifunctional detection unit, wherein the multifunctional detection unit comprises a double-station material table and a combined optical detection mechanism. According to the pole piece burr detection mechanism, the burr detection station and the edge collapse detection station are designed to fix a workpiece respectively, when the pole piece burr detection mechanism is used, firstly, the sliding carrying base moves along the Y-axis sliding rail, the top shooting piece is driven to move above the workpiece, continuous picture shooting is carried out, and width dimension measurement of the workpiece is achieved; then the top shooting piece is moved to the position above the end face and bottom combined shooting piece to be combined, at the moment, burr detection and edge collapse detection can be conducted on workpieces on the burr detection station and the edge collapse detection station respectively, the overall layout is compact, centralized detection of multiple detection procedures can be achieved, the cost is reduced, and the detection time is shortened; and a multi-point lighting scheme is set, so that a shot picture is clear.

The invention discloses a detection method for plastic packaging bag production, and relates to the technical field of plastic packaging bag production, and the detection method specifically comprises the following steps: 1, placing a plastic packaging bag on a detection table, enabling an upper clamping plate and a transverse plate to move downwards, enabling the upper clamping plate to firstly contact with the packaging bag, and carrying out preliminary positioning; 2, after the pressing plate makes contact, an adjusting plate makes contact with the packaging bag and pushes the packaging bag to move towards the two sides, and stretching, unfolding and flattening are achieved through assistance of balls; 3, the upper clamping plate continues to move downwards, the extension plate makes contact with the fixed plate and is limited, the position of the pressing plate is determined, then a first air cylinder is started to drive a movable plate to move towards one side, and a control assembly on the movable plate drives the to-be-tested plastic packaging bag to be subjected to a stretching test. According to the detection method for plastic packaging bag production, the plastic packaging bag is stretched, unfolded and flattened through the adjusting plate, it can be ensured that the packaging bag is in a flat state in the detection process, and therefore the real physical performance of the packaging bag can be reflected more accurately.

The invention relates to the technical field of dialysis detection, and particularly discloses a blood purification center dialysis water detection device which comprises a charging bin, an automatic sampling mechanism, a control operation table, detection equipment, a ground rail moving platform and a carrying mechanical arm. The automatic sampling mechanism can be stored in the charging bin, a height adjusting part and an automatic operation part are arranged in the automatic sampling mechanism, the height adjusting part can adjust the position and the height to enable the height adjusting part to be matched with the position of a detection valve of external filtering equipment, and the automatic operation part can execute operation to replace manual sampling operation. An automatic device is adopted to replace manual operation of medical staff to perform water quality detection sampling operation on the filter for hemodialysis, so that the overall detection efficiency is greatly improved, dangerous operation is remotely completed under the condition of no human intervention, the safety and health of the staff are effectively guaranteed, and the working efficiency is improved. And inaccurate detection or influence on normal operation of the whole dialysis water system caused by equipment failure is avoided.

The invention belongs to the technical field of microorganisms, and particularly relates to a microorganism detection culture device and method.The system comprises an intelligent environment control system, and a sensor monitors the temperature, humidity and gas concentration of a culture environment in real time to ensure that environment parameters needed by microorganism growth are kept in the optimal state; the automatic sample processing and operating system avoids pollution or errors caused by manual intervention through a mechanical arm or an automatic transmission device; the real-time image monitoring and analyzing system is used for monitoring the growth state of the microorganisms in the culture dish; the camera can continuously shoot images in the culture process; the rapid detection module rapidly obtains activity information of microorganisms, rapid detection is achieved, and time needed by traditional culture is shortened. According to the invention, accurate control, automatic operation and rapid detection are realized, and an efficient, safe and intelligent solution is provided for microbial culture and detection.

The invention discloses a full-automatic surface magnetic detection machine for a motor rotor. The full-automatic surface magnetic detection machine comprises a product transmission line, a transferring device and a pressing device are further arranged on one side of the product conveying line; a surface magnetic detection device and a rotating device are also arranged between the transferring device and the pressing device; the rotating device is positioned below the pressing device; the transferring device is used for transferring products conveyed by the product conveying line to the rotating device. The pressing device is used for pressing and limiting a product on the rotating device, and the rotating device is used for driving the product to rotate; the surface magnetic detection device is used for detecting a surface magnetic field of the product; and the transfer device is also used for transferring the detected product back to the product transmission line. A series of procedures such as automatic feeding, surface magnetic detection and discharging of the motor rotor can be achieved, the automation degree is high, the steps of manual operation are reduced, the efficiency of surface magnetic detection of the motor rotor is remarkably improved, and the large-scale production requirement is met.

The invention discloses a new energy automobile rapid charging diagnosis and test system and method. The system comprises an industrial personal computer serving as a control unit, an electrical safety detection module, a charging safety detection module, a man-machine interaction module, a power module, a direct current charging module and a channel switching module. The scheme aims at the intelligent diagnosis technology of the new energy automobile, the function and performance detection of key parts such as power electronic equipment of the new energy automobile can be realized, the performance and the safety condition of the automobile are evaluated, and the safety and the reliability of core components of the automobile are ensured.

The invention belongs to the technical field of network security, and discloses an Internet of Things attack detection method based on deep learning, which eliminates redundant features through feature selection, enhances inter-class difference and intra-class similarity of selected feature subsets, solves the problem of class imbalance in an attack detection data set by utilizing EQLv2, and improves the attack detection efficiency. And meanwhile, constructing a space-time model to extract space-time information of the sample. According to the method, multi-classification performance evaluation is carried out on an Internet of Things attack detection reference data set NSL-KDD and a CIC-IDS-2017, the advantages of the method are verified from five indexes including the accuracy rate, the precision rate, the recall rate, the F1 score and the false alarm rate, and the effectiveness and feasibility of the method are reflected when the method is compared with a plurality of methods.

The invention discloses a newly-built structure prestress and duct defect integrated monitoring device and method.The device comprises integrated monitoring sensors pre-buried in a concrete structure, and the integrated monitoring sensors wrap the periphery of a prestressed tendon in a sleeve mode and are arranged in an array mode in the length direction of the prestressed tendon; the functions of an electromagnetic elastic absolute stress sensor and a magnetostrictive ultrasonic guided wave transducer can be realized at the same time; an outer-layer coil in the sensor can serve as a magnet exciting coil of an electromagnetic elastic absolute stress sensor and a bias magnetizing coil of a magnetostrictive ultrasonic guided wave transducer at the same time, a magnetoelectric conversion element is used for collecting magnetic characteristic signals of a to-be-tested prestressed tendon, and an inner-layer coil is used for exciting and receiving ultrasonic guided waves. Reflection and transmission signals between different sensors can be compared, and damage positioning and quantification are achieved. The device can simultaneously measure information such as various damages and stresses in the component, and has the characteristics of convenience in operation, long-term monitoring, high monitoring precision and the like.

The invention discloses an in-vitro diagnosis liquid level detection method based on a 60GHz on-chip antenna millimeter wave radar, and relates to the technical field of liquid level detection in the IVD field, and the method comprises the steps: receiving a reflection signal through a sensor, and carrying out the preprocessing; extracting liquid level position data from the reflected signal through a machine learning algorithm; a temperature compensation and calibration mechanism is used for monitoring the temperature in real time and compensating and calibrating a measurement result; a friendly user interface is constructed and developed to feed back the system operation state in real time. The device can be accurate to a micron level, can accurately detect the liquid level height change in a micro cup or a reagent bottle, provides an extremely accurate reference for reagent addition, is greatly enhanced in reliability, is not influenced by factors such as liquid color, transparency, container material and shape, and can be used in a complex and changeable laboratory environment. The device can work stably and accurately under the conditions of temperature, humidity, electromagnetic interference and the like, and effectively avoids measurement errors caused by interference of external factors.

The invention belongs to the technical field of kidney histopathology and immunological evaluation, and particularly relates to a kidney pathology detection kit, a detection method and application, the detection kit comprises 37 rare metal element labeled monoclonal antibodies combined with antigens of in-situ tissue cells, and the detection method comprises the following steps: (1) collecting a sample to be detected, preparing a pre-dyed paraffin section; (2) mixing 37 monoclonal antibodies labeled by rare metal elements, and carrying out antibody staining on various antigen targets on the surfaces of cells in the in-situ tissue; (3) carrying out nucleus DNA staining on the stained tissue sample; and (4) detecting the stained tissue sample through an imaging mass spectrum flow system, and collecting original information data through laser spot firing. The method is an analysis method for fine grouping identification and relative quantification of structural cells, immune cells and pathological injury cells in the clinical nephropathy sample in-situ tissue. And auxiliary diagnosis information is provided for diagnosis, grading, treatment and prognosis detection of various clinical nephropathy.

The invention provides a monitoring device for simultaneously monitoring multiple pollutants in a water environment based on an echo wall mode liquid crystal microcavity and a control method thereof, and belongs to the technical field of optical microsensing. Cholesteric liquid crystal solution doped with fluorescent dye DCM is injected into liquid to be detected through a conical capillary microtube to form a plurality of liquid microsphere cavities; the fluorescent dye DCM in the liquid crystal microspheres emits fluorescence under the excitation of 532 nm laser pulse, high-quality echo wall mode laser emission is generated under the limiting action of the microcavity, and a spectrograph is used for recording a laser spectrum; when the concentration of pollutants in a water environment slightly changes, the change of the refractive index of the liquid crystal causes the change of the wavelength of the laser, so that the spectrum drifts, and high-sensitivity sensing is realized; the invention designs a real-time, quantitative and visual water environment pollutant detection sensor which has a wide application prospect in the field of water environment protection.

The invention discloses an asphalt road void ratio detection method using a three-dimensional ground penetrating radar, and belongs to the technical field of asphalt road detection.The asphalt road void ratio detection method includes the following steps of S1, a preparation stage, S2, road surface scanning, S3, water spraying operation and S4, data processing and analys.According to the scheme, sampling or destructive testing does not need to be conducted on a road surface, and damage to the road surface is avoided. Therefore, the integrity of the pavement is protected, and interference and repair cost in the detection process are reduced. The three-dimensional ground penetrating radar is used for scanning, and the porosity data of the road surface can be rapidly obtained. Compared with a traditional method, the technology has the advantages that the detection time is greatly shortened, the working efficiency is improved, and the method is particularly suitable for large-area pavement detection. Through the innovative technical means, the precision, efficiency and reliability of asphalt pavement void ratio detection are remarkably improved, and powerful technical support is provided for pavement quality evaluation and maintenance.

The invention discloses a dCAPS molecular marker for identifying a wheat leaf rust resistance associated SNP site and application of the dCAPS molecular marker, and belongs to the technical field of wheat disease resistance breeding and molecular biology. The invention develops a dCAPS molecular marker of SNP (Single Nucleotide Polymorphism) linked with a leaf rust resistance genetic locus QLr.hebau-1BS in a wheat adult-plant stage by virtue of 277 parts of wheat materials which have genotype data and are introduced from Turkey and in combination with a Chinese spring reference sequence. By utilizing the molecular marker, different wheat can be accurately and quickly detected, early-stage molecular-assisted selection of leaf rust resistant germplasm materials in the adult-plant stage is realized, and the wheat disease-resistant breeding efficiency is improved. The method solves the problem of high difficulty in detecting the leaf rust resistance gene in the wheat adult-plant stage in the prior art, and is suitable for the field of molecular genetic breeding.

The invention discloses a nozzle state detection device, method and equipment, a storage medium and a program product, and relates to the technical field of ink-jet printing.In the nozzle state detection device, a camera, a first mirror and a second mirror are sequentially arranged along a light path, and through cooperation of the camera, the first mirror, the second mirror and a corresponding micro-positioning table, the nozzle state is detected; and collecting an ink droplet image of the ink droplet ejected by the nozzle in the flying process, and analyzing the ink droplet image to obtain the nozzle state so as to complete the detection of the nozzle state. Wherein the second mirror is used as a scanning mirror, and the view field of the camera is expanded through rotation of the second mirror, so that the state of the nozzle is quickly and comprehensively inspected, and the detection time is greatly shortened; the camera is a high-resolution and high-precision camera, and the positions of the camera and the second mirror are accurately adjusted in time, so that the speed and the precision of nozzle state detection are integrally improved.

The utility model belongs to the technical field of anti-corrosion steel pipes, and particularly relates to an adhesive force testing frame for an anti-corrosion layer of a three-PE (Poly Ethylene) anti-corrosion steel pipe. The device comprises a support; the force application mechanism is arranged at the top end of the support, the force application mechanism comprises a pull rope, and the pull rope penetrates through the top end of the support and extends into the lower portion of the support; one end of the dynamometer is connected with the pull rope; and the clamp is connected with the other end of the dynamometer and is used for clamping the anti-corrosion layer. The tensile test device is used for solving the technical problems that in the prior art, the tensile test can be completed only by sampling the anti-corrosion steel pipe and feeding the sample into a test room, and the tensile test cannot be directly performed on the anti-corrosion steel pipe in the production and sales processes.

The invention relates to the technical field of metal button surface defect real-time detection methods, in particular to a metal button surface defect real-time detection method based on dry deep learning, which comprises the following steps: acquiring a to-be-detected metal button image and preprocessing the to-be-detected metal button image to obtain a to-be-detected metal button image; and inputting the preprocessed image into a deep learning network model to extract a defect region, optimizing and verifying the extracted defect region, and finally generating a statistical result of defect detection. According to the method, dynamically regulated progressive boundary construction, adaptive gradient mapping, Gaussian fitting detail enhancement, multi-dimensional difference correction factors, sectional defect region generation and other algorithms are innovatively introduced in sequence, so that boundary recognition and detail optimization are progressive layer by layer. The innovative multi-stage optimization design enables the data output of each step to be connected with the subsequent steps, guarantees the continuity and consistency of defect detection, and avoids the problems of boundary error and information loss caused by algorithm independence in a traditional method.

The invention discloses a power transmission line foreign matter identification method and system based on an improved YOLOv10 model. Relates to the technical field of power transmission line detection. According to the method, the method is improved on the basis of the existing target detection technology in the scene of a special power transmission line, the structure of a YOLOv10 model is optimized and improved by introducing an ODConv dynamic convolution module, a CAFM hybrid convolution attention mechanism module and an NWD loss function on the basis of the YOLOv10 model, in the detection stage, foreign matters are recognized through a foreign matter detection model, and the foreign matters are recognized through a foreign matter recognition module. Inputting the image containing the foreign matter into a component detection model to determine the position of the component, and finally performing hazard assessment and making a response according to the relative position of the foreign matter and the component. The detection precision of the YOLOv10 model is effectively improved, the hazard assessment capability is improved, and the detection efficiency is improved, so that the efficiency of foreign matter removal work of the power transmission line is improved, data management can be performed, powerful support is provided for operation and maintenance of the power transmission line, and safe and stable operation of electric power is guaranteed.

The invention relates to an underground pipe network leakage position monitoring method and device, a computer program product and electronic equipment, and belongs to the field of remote sensing monitoring. According to the method, the underground pipe network leakage position in a large-area range of a city is detected by utilizing a remote sensing means. The monitoring method provided by the invention comprises the following steps: determining a bare soil backscattering coefficient of a to-be-monitored area; inputting the bare soil backscattering coefficient into a target soil moisture identification model, and determining the soil mass moisture content of the to-be-monitored area through the target soil moisture identification model; and comparing the soil mass water content of the to-be-monitored area with the leakage soil mass water content threshold value of the to-be-monitored area, and determining the leakage point of the pipeline in the to-be-monitored area. The monitoring method provided by the invention is low in cost, low in manufacturing cost and small in loss, and has the advantages of rapid, lossless and automatic detection of the leakage position point of the pipe network in a large-area range.

The present invention provides a method for determining the residual acrylonitrile content in a polyacrylonitrile polymerization liquid, and the residual acrylonitrile content in the polyacrylonitrile polymerization liquid is determined by using a fully automatic potentiometric titrator; the method mainly comprises the steps of preparing a solution to be tested, a blank titration step, and a titration step of the solution to be tested. The present invention is used to provide a method for determining the residual acrylonitrile content in a polyacrylonitrile polymerization liquid, which can quickly and accurately determine the titration end point, thereby improving accuracy and timeliness, so as to better guide actual production. Compared with the traditional manual titration method, the present invention is simple to operate, has accurate liquid addition volume, uniform stirring speed, and sensitive endpoint mutation. The instrument can automatically titrate and stop the reaction, so that the test error is small, and the detection efficiency is greatly improved.

The invention discloses a sewage heavy metal ion detection device, which belongs to the technical field of sewage detection, and comprises a sensor module and a microfluidic module, the sensor module comprises a Loff wave surface acoustic wave device, the Loff wave surface acoustic wave device comprises a resonance area and two Loff wave interdigital transducers, the resonance area is located between the two Loff wave interdigital transducers, and the resonance area is covered with a heavy metal ion adsorption film; the micro-fluidic module comprises a micro-channel system and a Rayleigh wave surface acoustic wave device, the micro-channel system comprises a dropwise adding tank, a micro-channel and a waste liquid tank which are communicated in sequence, the micro-channel is provided with an experimental area overlapped with the resonance area, and the Rayleigh wave surface acoustic wave device is used for driving sewage to move from the dropwise adding tank to the waste liquid tank. By combining a microfluidic technology and a surface acoustic wave technology, heavy metal ions, especially lead ions, in sewage can be rapidly, accurately and conveniently monitored.

The invention discloses a machine vision learning-based micro-plastic quantity and type intelligent identification method, and relates to the technical field of image identification and micro-plastic detection. The method at least comprises the following steps: S1, obtaining quantity and morphological characteristic information of micro-plastics through an experiment or other related methods, and combining and processing to form a typical characteristic database of the micro-plastics; s2, introducing machine learning and a YOLO algorithm to construct a basic recognition model; on the basis of machine vision learning, an efficient, rapid, convenient-to-operate and low-cost intelligent quantitative method for the number of the micro-plastics is established, the detection time is greatly shortened, the types of the micro-plastics can be distinguished by identifying the colors of the micro-plastics, the problem that the micro-plastics are difficult to analyze on a large scale in an existing method can be solved, and the method is suitable for large-scale analysis of the micro-plastics. And an accurate, efficient and economical micro-plastic intelligent batch identification effect is achieved.

The invention discloses a kit for detecting salmonella enteritidis and application of the kit, and belongs to the technical field of biomolecular detection. The kit comprises the following components: an allosteric aptamer probe of which the nucleotide sequence is as shown in SEQ ID NO.1, a template chain of which the nucleotide sequence is as shown in SEQ ID NO.3 and a fluorescence report probe of which the nucleotide sequence is as shown in SEQ ID NO.4. According to the kit, salmonella enteritidis can be distinguished from other impurities, and the specificity is high; a visual fluorescence signal can be obtained and is easy to interpret; according to the invention, a template chain can be cyclically utilized in the reaction to generate a Trigger chain to guide the TtAgo protein to efficiently and specifically cut a fluorescent reporter probe, the output signal is increased, the detection time is short, the detection limit is low, the sensitivity is high, the specificity is good, and the method has practical popularization and application prospects.

The invention relates to an antibody detection kit for neuroparatoma syndrome and a preparation method of the antibody detection kit. The antibody detection kit for neuroparatoma syndrome comprises an antibody detection strip, a cleaning solution, a buffer solution and an auxiliary agent, wherein the antibody detection strip is a nitrocellulose membrane which is coated with antigen proteins containing Amphiphysin, CV2, GAD65, Hu, PNMA2 (Ma2 / Ta), Recovery, Ri, SOX1, Titin, Tr (DNER), Yo and Zic4. The invention further discloses a detection method of the antibody detection strip. The antibody detection kit disclosed by the invention can be used for simultaneously detecting 12 autoantibodies related to the neuroparatoma syndrome. The design of simultaneous detection of multiple antibodies greatly improves the comprehensiveness of detection, so that multiple possible pathogenic factors can be covered in single detection, the kit can be used for differential diagnosis of suspected neuroparatoma syndrome patients in professional laboratories, and the problem of missed diagnosis caused by single antibody detection is avoided.