221results about How to "Short detection cycle" patented technology

The invention discloses a vehicle illegal parking detection system based on unmanned aerial vehicle inspection shooting, and relates to the technical field of vehicle illegal parking inspection. The vehicle illegal parking detection platform is in communication connection with an unmanned aerial vehicle image acquisition module, an image preprocessing module, a vehicle detection analysis module, an illegal parking judgment module, a license plate recognition module and an early warning notification module, and all the modules are in electric signal connection. According to the method, a large area can be rapidly covered through unmanned aerial vehicle inspection shooting, real-time monitoring and detection of vehicle illegal parking behaviors are achieved, compared with a traditional manual inspection mode, unmanned aerial vehicle inspection greatly shortens the detection period, the detection accuracy is remarkably improved, and the detection efficiency is improved through a high-precision image recognition algorithm. The vehicle illegal parking detection system can accurately recognize the license plate number, the vehicle type and the illegal parking position, and subjectivity and errors of manual judgment are effectively avoided.

The invention belongs to the technical field of whole-genome gene chips, and particularly relates to a leymus chinensis whole-genome 50K liquid chip and application thereof. According to the leymus chinensis whole genome 50K liquid phase chip, a whole genome re-sequencing technology is utilized, an SNP molecular marker combination of leymus chinensis is determined, and then the leymus chinensis whole genome 50K liquid phase chip is developed. The chip is combined with a high-density SNP probe, realizes high-throughput and high-precision genetic typing of leymus chinensis genomes, and particularly has wide application prospects in the field of molecular breeding.

The invention discloses a dry-type transformer testing device, and relates to the technical field of testing devices, the dry-type transformer testing device comprises a workbench and a transformer main body, the transformer main body is installed on the workbench, the transformer main body is provided with a wiring terminal, and one side of the workbench is provided with a testing assembly for testing the transformer main body. According to the dry-type transformer testing device, when the brush is in contact with the outer wall of the wiring terminal and rotates, dirt, dust or other impurities on the outer wall of the wiring terminal can be effectively cleared away, through the clearing work, the insulation resistance tester body can check and measure the wiring terminal more accurately, and the testing efficiency of the dry-type transformer is improved. Therefore, potential connection problems, corrosion or abrasion and the like can be found easily, misjudgment or missing detection is avoided, and after interference factors of dirt and impurities are eliminated, the accuracy and reliability of a detection result can be improved.

The invention discloses a complex pavement damage condition detection method integrated with an unmanned aerial vehicle. The method specifically comprises the following steps: S1, an unmanned aerial vehicle platform and a sensor system; s2, image preprocessing and feature extraction; the invention relates to the technical field of intelligent traffic. According to the complex road surface damage condition detection method and device fused with the unmanned aerial vehicle, the unmanned aerial vehicle is high in inspection speed and wide in coverage range, the detection period is greatly shortened, the detection cost is reduced, and artificial intelligence technologies such as deep learning and machine learning are combined, so that accurate recognition and classification of road surface damage conditions are realized, and the detection precision is improved; a comprehensive detection report and three-dimensional visual analysis are provided, a scientific basis is provided for road maintenance decision, traffic safety management and urban planning, road maintenance is promoted to develop towards the intelligent and precise direction, the road maintenance efficiency and quality are improved, traffic safety is guaranteed, an interactive decision support system is developed, and the development of the road maintenance system is facilitated. And the user operation convenience and the decision-making efficiency are improved.

The invention relates to the technical field of railway line flaw detection, in particular to railway line automatic comprehensive flaw detection equipment which comprises two steel rails and a flaw detection car and further comprises a C-shaped mounting plate, a buffer assembly, a waist detection mechanism and a bottom detection mechanism. A first fixing rod is transversely arranged in the C-shaped mounting plate, fixing sleeves are slidably connected to the two ends of the first fixing rod correspondingly, and balance assemblies are arranged at the ends, away from each other, of the two fixing sleeves correspondingly. The device has the advantages that different detection assemblies are arranged for different detection areas, so that steel rail detection of different parts is more efficient and accurate, it is ensured that different types of defects can be detected, the detection period is shortened, the balance assembly and the buffer assembly cooperate with each other to enable the head detection assembly to keep a dynamic balance state, and the detection efficiency is improved. The probe is effectively protected from vibration damage, and the adaptability of the probe to the change of the steel rail and the detection stability of the probe are improved.

The invention discloses a variable splicing marker for tuberculosis diagnosis, a screening method and application, and relates to the technical field of marker screening, and the technical key points are as follows: the variable splicing marker is AIM2-Intron3-IR; by combining bioinformatics analysis, in-vitro experiments and clinical queue verification analysis of a large amount of high-throughput sequencing data, variable splicing markers closely related to tuberculosis are mined and determined, and a high-efficiency new tool is provided for tuberculosis diagnosis.

The invention relates to a woolen sweater defect detection method. The method is characterized by comprising the following four main steps: a data preprocessing step, a model construction step, a model training step and a defect detection step. Wherein in the model construction step, strategies such as an attention mechanism and a network structure optimization are introduced, so that the identification capability of the model on woolen sweater defects is improved; in the detection process, automatic positioning and classification of defect areas are realized through a series of key functions. The method is high in detection efficiency, low in comprehensive detection cost and high in detection accuracy.

The invention relates to the technical field of environmental protection, in particular to a solid waste detection method and system.The method comprises the steps that solid waste samples with disclosed categories, components and contents and Raman spectrum data corresponding to the solid waste samples are obtained from the Internet to serve as a training set, and the training set is used for training an R-CNN-based target detection model; after training is completed, the flooding ability and performance of the model are evaluated through cross validation; after verification is completed, solid waste samples are prepared and subjected to sample pretreatment; after the sample pretreatment is completed, scanning the sample by using a Raman spectrometer to obtain Raman spectrum data of the sample, and then carrying out data pretreatment; after data preprocessing is completed, Raman spectrum data are input into the verified R-CNN-based target detection model, and a detection result is output. According to the method, the information of the solid waste is accurately detected through a Raman spectrum and machine learning combined method, technical support is provided for management of the solid waste, environmental pollution is reduced, and the ecological environment is protected.

The invention discloses a precision detection device for valve gearbox gear production, and the device comprises a detection platform which comprises a detection structure and a lifting structure which are disposed on a platform surface, and a feeding assembly which is disposed at the front side of the detection platform and is used for intermittently conveying gears to the rear side, the feeding assembly comprises an electric conveying frame and a belt installed on the electric conveying frame, a plurality of spacing bars arranged at equal intervals are installed on the belt, and guide plates used for guiding a to-be-detected gear to be discharged backwards along the central axis are connected to the two sides of the electric conveying frame in an inserted mode. And the distance between the bottom of the guide plate and the top face of the belt is larger than the height of the spacing bar, and the conveying structure is arranged on the rear side of the feeding assembly. In the whole operation process, the manual intervention time can be effectively shortened, the detection period is shortened, meanwhile, safety is improved, in addition, bidirectional clamping and fixing can be conducted along the inner ring and the outer side of the gear to be detected, and the stability of follow-up rotation of the gear to be detected and the reliability of a detection result are guaranteed.

The invention discloses a system and a method for intelligently detecting foreign matters in a rail transit interval. The system comprises a data acquisition unit, a data transmission unit, an image processing and analyzing unit, a foreign matter algorithm unit, an alarm processing unit, a data recording unit and a user interface unit, the data acquisition unit is installed on a track line and is used for carrying out continuous image acquisition on a traffic interval and detecting abnormal conditions on a track in real time. The data transmission unit is used for transmitting the collected information; the image processing and analyzing unit is used for processing and analyzing the acquired data and identifying possible foreign matters; the foreign matter algorithm unit is used for identifying and positioning possible foreign matters; when the alarm processing unit detects the foreign matter, an alarm is given to related personnel in time; the data recording unit is used for recording all foreign matter detection data, the user interface unit is used for feeding back the obtained foreign matter information, monitoring and detection operation can be automatically carried out, manual intervention is not needed, and therefore efficiency is improved, and labor cost is reduced.

The invention provides a virus RNAi inhibitor screening vector as well as a construction method and application thereof, and belongs to the technical field of viruses. The virus RNAi suppressor screening vector comprises a green fluorescent protein coding gene expression cassette and a shRNA expression cassette targeting a green fluorescent protein coding gene, the nucleotide sequence of the shRNA is as shown in SEQ ID NO: 2 or SEQ ID NO: 3. According to the invention, the green fluorescent protein coding gene and the shRNA are cloned into the same expression vector, so that the consistency of transfection efficiency is ensured. The invention further provides a screening method of the virus RNAi suppressor, the virus RNAi suppressor screening vector and the recombinant vector for expressing the virus RNAi suppressor to be screened are co-transfected into cells, and the screening result is judged according to the green fluorescence intensity. According to the technical scheme, operation is easy and convenient, the screening result is accurate and reliable, and wide application and popularization value is achieved.

The invention relates to a motor shell rusty spot recognition method, device and equipment and a computer readable medium. The method comprises the following steps: acquiring a first motor shell image before a salt spray test and a second motor shell image after the salt spray test; performing image registration on the first motor shell image and the second motor shell image to perform registration on a rusty spot area in the first motor shell image and a rusty spot area in the second motor shell image to obtain an effective motor shell image; performing difference detection on the effective motor shell images before and after the salt spray test, and extracting a newly added rusty spot area based on a difference detection result; constructing a rusty spot recognition model according to the newly added rusty spot area and the corresponding motor shell image; based on the rusty spot recognition model, the rusty spot type of the newly-added rusty spot area is recognized, and the area corresponding to the newly-added rusty spot area is calculated. According to the invention, the problem of low detection efficiency and accuracy caused by manual motor shell rusty spot recognition detection is solved.

The embodiment of the invention provides a display device and electronic equipment. According to the display device, a display panel comprises a first binding part and a second binding part, one end of a driving chip is in binding connection with the first binding part, a flexible circuit board is connected with the other end of the driving chip through the second binding part, and the first binding part comprises at least one first invalid pin and at least one test line; the first invalid pin is connected with the test line, so that detection can be performed through the test line when a signal transmitted by the display device is detected, the test line is a routing line in the display panel, the accuracy of the detected signal is relatively high, the display device can be directly detected, a flexible circuit board does not need to be tested, the detection period is relatively short, and the detection efficiency is relatively high. And the detection efficiency and accuracy are improved.

The invention relates to the technical field of urinary tract infection detection, and discloses a phage-based rapid and accurate urinary tract infection detection method, which comprises the following steps: S1, constructing a CRISPR / Cas9 system; s2, constructing a homologous recombinant plasmid; s3, constructing three plasmids BL21; s4, constructing, screening, verifying and reporting a phage T4:: Nluc; according to the detection method, a CRISPR / Cas9 system is combined with a homologous recombination technology, so that the efficiency of bacteriophage gene editing is remarkably improved, based on the report bacteriophage T4:: Nluc, rapid, sensitive, specific, accurate, simple and convenient detection on clinical urinary tract infection escherichia coli is realized, and the method can be used for detecting an escherichia coli urinary tract infection sample which is not pretreated, and has a wide application prospect. The kit shows excellent detection timeliness and specificity, is a powerful tool for identifying clinical urinary tract infection escherichia coli, and provides a new technical path for timely and accurate diagnosis and effective treatment of clinical urinary tract infection.

The invention discloses an SNP (Single Nucleotide Polymorphism) molecular marker combination related to a peanut high-oil character and application of the SNP molecular marker combination, and belongs to the technical field of biological breeding, the SNP molecular marker combination provided by the invention consists of 538 SNP sites, and physical position information of the SNP site combination is determined based on comparison of a whole genome sequence of a peanut reference genome; and the version number of the whole genome sequence of the peanut reference genome is GCA004170445.1. The SNP molecular marker combination provided by the invention can be applied to molecular breeding work of peanuts, germplasm resources can be rapidly analyzed, and whether a breeding parent material contains high-oil allelic variation or not can be determined.

The invention discloses an active tuberculosis diagnosis method based on proteomics and metabonomics. The method comprises the following steps: collecting a serum sample of a suspected active tuberculosis patient; detecting specific proteins in the serum sample by using a proteomics technology; detecting specific amino acids in the serum sample by using a metabonomics technology; carrying out standardization treatment on the obtained protein, amino acid and bile acid data; establishing a diagnosis model by using a machine learning algorithm; inputting data of a to-be-diagnosed sample into the model, and calculating a probability value of the to-be-diagnosed sample suffering from active tuberculosis; according to a preset threshold value, whether the sample provider suffers from the active tuberculosis or not is judged. By comprehensively analyzing multiple omics data, the sensitivity and specificity of diagnosis are greatly improved; by utilizing a machine learning algorithm, the disease risk can be objectively and quantitatively evaluated, and human misjudgment is reduced; the detection process is simple and fast, the sample demand is small, and clinical popularization and application are facilitated.

The invention discloses a gear damage detection method and device, electronic equipment and a storage medium, and the main technical scheme comprises the steps: obtaining a to-be-recognized gear detection image, inputting the to-be-recognized gear detection image into a U-Net neural network, and obtaining a binary image mask of the to-be-recognized gear detection image outputted by the U-Net neural network; performing phenotype quantization on the binarized image mask to obtain a phenotype actual area of the foreground object; and determining that the phenotype actual area is a gear damage area, and determining whether the gear is damaged or not according to a preset gear damage area threshold value. According to the method, a to-be-recognized gear detection image is input into a U-Net neural network containing a residual structure, and an obtained binary image mask clearly distinguishes a foreground from a background, so that phenotype quantization is more accurate, and the gear damage area is accurately calculated. The gear damage detection accuracy is improved, the detection period is greatly shortened, the maintenance cost is reduced, and the production efficiency is improved.

The present application relates to the field of DNA detection technology, and specifically to a kit, method and application for early screening and monitoring of HPV-related tumors. The present application is based on multiplex ddPCR and uses mixed probes to detect four HPV subtypes in plasma at one time. Compared with conventional detection technology, the kit is simple and safe to operate, non-invasive, low-cost, and has a short cycle; at the same time, the kit has higher detection sensitivity and strong specificity, with a minimum detection limit of only 250 copies / ml.

The invention provides a method for detecting the content of ferrous phosphide in lithium iron phosphate, and belongs to the technical field of chemical analysis. The detection method comprises the following steps: soaking a lithium iron phosphate sample in hydrochloric acid to dissolve lithium iron phosphate to obtain a mixed solution; then carrying out solid-liquid separation, and cleaning solid substances; the cleaned solid matter is digested with nitric acid, and a digestion solution is obtained; and detecting the contents of Li < + > and Fe < 3 + > in the digestion solution, and calculating to obtain the content of ferrous phosphide in the lithium iron phosphate. The detection method provided by the invention has the advantages of stable and accurate detection result, low consumption of samples and short detection period.

The invention belongs to the technical field of oil well associated gas component analysis, and discloses an oil field associated gas component wellhead online analysis system and method. The wellhead online analysis system for the oilfield associated gas components comprises a circulating suction unit, an oilfield associated gas component analysis unit, a backflow unit and a remote control unit, the circulating suction unit comprises an electric valve, a gas-liquid separation tank and a circulating pump which are connected in sequence, the oilfield associated gas component analysis unit comprises a pressure reducing valve, an electric valve and a gas component detection part which are connected in sequence, and the backflow unit comprises an accumulated liquid backflow unit and an accumulated waste gas emptying unit. The circulating suction unit, the oilfield associated gas component analysis unit and the backflow unit are arranged on a sealed sampling pipeline formed at a wellhead sampling position. According to the wellhead online analysis system for the oil field associated gas components, online detection of the oil field associated gas components is achieved, and the reliability and accuracy of online analysis are improved.

The present invention relates to the field of aviation component detection technology, and discloses an aviation component defect detection device, including a fixed plate, the front and rear ends of the fixed plate are both annularly fixedly installed with four connecting rods, and the front ends of the four connecting rods located in the same plane are commonly fixedly installed with a positioning mechanism, the front end of the positioning mechanism located at the rear is fixedly installed with a support plate, a detection mechanism is movably connected in the fixed plate, and the lower parts of the outer surfaces of the fixed plate and the two positioning mechanisms are commonly fixedly installed with two support seats. An aviation component defect detection device of the present invention realizes accurate mechanical positioning and automated detection of truss structure tubes through the coordinated use of a positioning mechanism and a detection mechanism, improves the consistency and reliability of detection, ensures that each detection reaches the same high quality standard, and at the same time utilizes the positioning body in the positioning mechanism to make the entire process coherent and efficient, so that detection and transportation are carried out simultaneously, which is conducive to improving productivity and reducing production costs.

The invention discloses a construction method and application of an HPLC (High Performance Liquid Chromatography) standard fingerprint spectrum of Gaoguaping capsules, and belongs to the technical field of quality control of traditional Chinese medicine preparations. According to the construction method of the HPLC standard fingerprint spectrum of the Gaoguaping capsule, multiple active ingredients in the capsule are accurately separated and detected through a high performance liquid chromatography technology in combination with gradient elution and specific chromatographic conditions. The constructed standard fingerprint spectrum contains 23 common peaks and 13 characteristic fingerprint peaks, and can ensure the consistency and stability of different batches of capsules. The fingerprint spectrum can be used for quickly and accurately judging the quality of capsules and improving the detection efficiency. In addition, the fingerprint also reveals the distribution of each medicinal material component in the fingerprint, and a clue is provided for medicinal material traceability and quality control. The method has the advantages of being simple, efficient and good in repeatability and stability, can be used for quality control and product quality identification of the Gaoguaping capsules, and provides effective guarantee for clinical application.

The invention relates to a method for preparing a sample wafer for X fluorescence analysis of bentonite by using a melting method, which comprises the following steps: 1) adding a flux and a bentonite sample into a crucible, dropwise adding a boric acid-glycerol solution, and stirring until the mixture is muddy; (2) adding a liquid oxidant into the crucible, uniformly stirring, wiping the head of the glass rod with quantitative filter paper, and putting the wiped filter paper into the crucible; and 3) firing the crucible on a high-frequency sample melting machine until the solid in the crucible is molten into a liquid state, adding a release agent, slightly cooling, and demolding to obtain the sample for X fluorescence analysis. The method has the advantages that the operation is simple, the flaking rate is high, and prerequisite conditions are provided for quickly, accurately and reliably measuring the primary and secondary components of the bentonite. According to the method, the sample does not need to be fired at high temperature by a muffle furnace in advance, the platinum crucible does not need to be pretreated, the detection period is remarkably shortened, and the power consumption cost is reduced.

The invention provides a method for detecting biomolecules based on micro-cantilever sensing, and belongs to the technical field of analysis and detection. The method comprises the following steps: providing a micro-fluidic module which comprises a micro-fluidic channel and a temperature controller, arranging a micro-cantilever array in the micro-fluidic channel, uniformly mixing a to-be-detected sample and a magnetic nanoparticle solution through the micro-fluidic channel, and combining the to-be-detected sample and the magnetic nanoparticle solution on the micro-beam surface of the micro-cantilever array; the laser module provides laser and is used for receiving a micro-beam deflection signal of the micro-cantilever beam array; and providing a magnetic field device, and attracting the magnetic nanoparticles by utilizing magnetic force, so that the micro-cantilever deflection deflection of the micro-cantilever array is increased, a deflection signal is enhanced, and the detection of the to-be-detected sample is realized. The micro-beam is driven by magnetic force to generate deformation, and a relatively large micro-beam deformation signal can be generated under extremely low concentration, so that ultra-sensitive detection of trace substances in a micro sample is realized.

This invention discloses a concrete testing device for road and bridge construction, relating to the field of concrete testing. It includes a sample holder and a movable pressure plate. Vertical plates are fixed to both sides of the upper surface of the sample holder, and top plates are fixed to the top of each of the two vertical plates. A limiting groove for placing concrete blocks is formed at the center of the upper surface of the sample holder. The pressure plate is located above the limiting groove, and a groove is formed at the center of the upper surface of the pressure plate, in which a liquid storage cylinder is fixed. Liquid permeation holes are formed at the groove and at the bottom of the liquid storage cylinder on the lower surface of the pressure plate. A pressure application component and two transmission components are provided above the liquid storage cylinder. The two transmission components are symmetrically arranged on the pressure application component. Each of the two rope-winding rollers has an inner sprocket tooth on one corresponding spoke. This invention achieves simultaneous testing of concrete compressive strength and impermeability, shortens the testing cycle, and restores the stress environment of road and bridge concrete during actual service, improving the comprehensiveness and reliability of the test data.

The invention belongs to the technical field of image recognition and electronic manufacturing detection, and particularly relates to a voidage detection method for a bottom terminal component. Firstly, a YOLOv8 model is used for accurately positioning a welding spot area in an image, then a semantic segmentation model EAUNet introducing an edge auxiliary task is used for achieving fine recognition of a cavity area and a soldering tin area, finally, calculation of the welding spot voidage is completed through pixel-level statistics, a set of complete automatic detection process is constructed, the detection period is greatly shortened, and the detection efficiency is improved. And the method is deployed and operated in an actual SMT production line, and the engineering feasibility of improving quality and efficiency by using a deep learning method in electronic manufacturing quality detection is verified.

The invention discloses a method for identifying Xinhui pericarpium citri reticulatae and pericarpium citri reticulatae, which is characterized in that four active ingredients including hesperidin, nobiletin, tangeretin and 2-methylamino methyl benzoate are simultaneously detected through high performance liquid chromatography, and distinguishing is realized according to detection data. The method comprises the following specific steps: preparing a mixed reference solution and a test solution, extracting a test with methanol, performing ultrasonic treatment, and filtering, specific chromatographic conditions are adopted for detection, the detection wavelength of the hesperidin is 283nm, and the detection wavelengths of the other three components are 330nm. Test results show that the contents of the four active ingredients in the Xinhui pericarpium citri reticulatae are high, the content of methyl 2-methylaminobenzoate is not lower than 0.020%, the ratio of the total amount of nobiletin and tangeretin to hesperidin is not lower than 0.17, and related indexes of the pericarpium citri reticulatae are remarkably low. The method is efficient, accurate, stable and reliable, and provides technical support for standardizing market circulation, guaranteeing product quality and promoting standardized development of the Xinhui pericarpium citri reticulatae industry.

The utility model discloses an automobile torsion bar strength simple detection device comprising a pedestal, two parallel guide rails are arranged on the pedestal, one end of each guide rail is provided with a slide block, the other end of each guide rail is provided with a fixed block, a rotating shaft parallel to the guide rails in the fixed block is communicated with two sides of the fixed block, and one end of the front end of the rotating shaft located at the inner side of the fixed block is provided with a rotating disc. A mounting groove is formed in the axis position of the other side of the rotary disc, a mounting block is arranged in the mounting groove, and a fixing groove is formed in the mounting block. The beneficial effects of the utility model are that the utility model provides a simple and convenient automobile torsion bar strength detection device, through adopting a simple, convenient and rapid detection technology, the time of torsion bar strength detection is greatly shortened, compared with a traditional manual loading experiment, the novel device can realize timely and rapid detection, the detection period is reduced, and the detection efficiency is improved. The production efficiency is improved, and the rapid production line detection requirement is met.

The present application relates to a fluorescent PCR method, kit and corresponding detection reagent using white blood cells in blood as templates, which comprises resuspending collected white blood cells in a buffer, and then using the white blood cells as templates for fluorescent PCR. The method solves the problems of long time consumption, high cost and low efficiency caused by nucleic acid extraction from blood when performing fluorescent quantitative PCR amplification on whole blood.

The invention discloses a biosensor based on an ultraviolet light triggered bio-barcode release technology (OBCA) and construction and application of the biosensor. The biosensor comprises nucleic acid functionalized silver nanoparticles, nucleic acid functionalized magnetic beads and a CRISPR (clustered regularly interspaced short palindromic repeats) / Cas12a detection system, the DNA bar code modified on the surface of the silver nanoparticle contains a light cleavable linker, a CRISPR / Cas12a activation sequence and a target capture sequence I, and a DNA capture probe containing a target capture sequence II is fixed on the surface of the magnetic bead through biotin-streptavidin action. During detection, target miRNA mediates two capture sequences to form a sandwich compound, after magnetic separation and thermal denaturation elution, 365nm ultraviolet radiation releases DNA bar code fragments, and the Cas12a trans-cleavage fluorescence quenching reporter probe is activated to generate a signal. According to the method, nucleic acid amplification and reverse transcription are not needed, the detection limits of miR-21, miR-155 and mi-210 respectively reach 158.94 aM, 763.56 aM and 197.82 aM, single-base mismatch and precursor miRNA can be distinguished, the serum sample detection result is highly consistent with that of RT-PCR, and the method is suitable for high-sensitivity quantitative detection of miRNA.