9results about How to "Realize synchronous detection" patented technology

The utility model relates to test appearance technical field especially is related to a kind of electric mark resistance mobile integrated machine. Including pedestal, pedestal is fixedly arranged with support frame, multiple electrode assemblies that can move horizontally are equipped on the support frame, the upper surface of the pedestal is equipped with placing table, one end of the pedestal is fixedly installed with stand, the stand is installed with adjusting plate, multiple dripping devices are equipped on the adjusting plate, the electrode assembly includes adjusting mechanism slidingly arranged on connecting frame, electrode probe is arranged at the end of adjusting mechanism, the horizontal position of electrode assembly is adjusted, and the electric mark resistance test is carried out to multiple samples to be measured on placing table. The electric mark resistance mobile integrated machine of the utility model can efficiently utilize space, and support multiple samples synchronous detection, realize the flexible adjustment of electrode and dripping position.

This utility model discloses a gauge for detecting the straightness and span of a long U-tube, belonging to the technical field of heat exchanger copper tube processing and mold manufacturing. It includes a base, a span detection component and a straightness detection component fixed on the base. The span detection component includes an outer shell fixed on the base, an inner shell that cooperates with the outer shell, and a U-shaped detection block fixed on the inner shell. The straightness detection component includes a lower support and an upper support, and a floating inner sleeve component located between the upper support and the lower support. The integrated span detection component and straightness detection component can simultaneously detect the center distance of the copper tube and the straightness, achieving synchronous detection of the two parameters. Moreover, by replacing the U-shaped detection block and the floating inner sleeve component with different sizes and specifications, it can be applied to the rapid detection of copper tubes of different diameters and the accuracy verification of the mold. That is, by using a replaceable inner diameter component to adapt to copper tubes of different diameters, the detection efficiency and accuracy are improved.

This invention discloses a method and system for simultaneous analysis of multiple lipid indicators in fingertip capillary blood, relating to the field of chemical analysis. The method includes S1: micro-sample pretreatment of fingertip blood; S1.5: sample matrix interference pretreatment; S2: multi-channel parallel specific reaction; S3: multi-band spectral synchronous detection; S4: machine learning intelligent calibration and analysis; and S5: result output and quality control verification. This method and system achieves simultaneous detection of five core lipid indicators in fingertip blood samples in a short time, with low deviation and cross-interference rates between the detection results and venous blood biochemical detection, and high matrix interference inhibition rate. It also possesses advantages of portability, speed, and accuracy, solving the problems of low detection efficiency, limited applicability, and matrix interference affecting accuracy in existing technologies.

This invention relates to a method for synchronous detection of road surface anomalies based on hyperspectral imaging, belonging to the field of hyperspectral image processing and remote sensing detection technology. It solves the problems of low data processing efficiency, limited detection functions, and insufficient real-time performance in existing technologies. The method includes: acquiring hyperspectral images of various road surfaces, extracting key features, generating hyperspectral fingerprints, labeling road surface categories, and constructing a hyperspectral fingerprint database; training a fingerprint comparison model based on the hyperspectral fingerprint database to obtain a pre-trained fingerprint comparison model; acquiring road hyperspectral images in real time, extracting key features, generating a hyperspectral fingerprint to be tested, and obtaining the road surface category of the hyperspectral fingerprint to be tested based on the hyperspectral fingerprint database, the pre-trained fingerprint comparison model, and a hierarchical comparison strategy. This enables simultaneous detection of multiple anomalies such as icing, water accumulation, and road surface deterioration on an UAV-borne terminal.

This application discloses a high-precision floating reset measuring device end, relating to the field of measuring device technology. It includes an elastic component, a tool holder, a measuring head, and a measuring rod. The tool holder has an inner cavity for mounting the measuring rod, with a horizontal sliding gap between the measuring rod and the cavity. The measuring head integrates a conical depth measuring component and an inner hole measuring component. A ball-and-socket positioning structure is provided between the bottom of the first elastic structure and the top of the second elastic structure. The ball-and-socket positioning structure includes a ball-and-socket groove and a ball-head pin for coaxial reset of the measuring head. The technical advantage of this application is that by setting the measuring head with the measuring rod to a horizontally floating state relative to the tool holder, even when the cylindrical workpiece and the tool holder are not coaxially aligned, the measuring head can complete data acquisition while avoiding hard collisions through horizontal displacement during the inspection of cylindrical workpieces. The ball-and-socket positioning structure, with the help of the elastic structure, completes the coaxial reset of the measuring head after floating detection when the measurement ends.

The utility model relates to transformer detection equipment technical field, concretely refers to a kind of transformer oil pillow capsule tightness detection device, including detection box, second trachea, dismounting mechanism and sealing mechanism. Multiple detection cavities are equipped in detection box, each detection cavity top is equipped with first trachea and first air pressure detection sensor, second trachea is installed in the top of detection box and bottom end extends into detection cavity, and its side wall is equipped with second air pressure detection sensor. Dismounting mechanism realizes the quick connection of capsule and second trachea, sealing mechanism is composed of third air inlet pipe, connecting seat and air bag, and the tightness of connection can be enhanced. The utility model can detect multiple capsules simultaneously, judge tightness by monitoring air pressure change through double air pressure sensor, have the characteristics of quick dismounting, reliable sealing, accurate detection, effectively improve detection efficiency and accuracy, suitable for batch detection scene of transformer oil pillow capsule.

The utility model discloses a coal mine ventilation quantity detection device relates to mine ventilation detection technical field, including connecting pipeline, the outer side wall fixed connection of connecting pipeline has the air pipe, and the outer side wall of connecting pipeline is equipped with the limit support for the support of connecting pipeline, ventilation subassembly, ventilation subassembly includes drive motor, and drive motor installs in the inner side wall of connecting pipeline, and the output fixed connection of drive motor has the connecting fan, detection mechanism, detection mechanism sets up in the inner side wall of air pipe, and detection mechanism includes sealing gasket, and the top of air pipe is provided with the placement groove for placing sealing gasket, the utility model discloses through setting up independent detection mechanism and ventilation subassembly cooperation, utilizes drive motor to drive the connecting fan initiative to draw the wind, and sets up detection module in the air pipe, can realize the initiative, accurate detection to mine ventilation quantity, effectively avoided the problem that traditional passive measurement mode is vulnerable to interference, data is not accurate.

The application discloses a kind of graft injury multi-index combined noninvasive detection kit, by optimized multiplex real-time fluorescent quantitative polymerase chain reaction technology, realize the quantitative detection of six categories with closely related DNA virus after transplantation Complications, the present application relates to the field of in vitro detection technology of clinical sample.The graft injury multi-index combined noninvasive detection kit, the present application first realizes the synchronous detection of BK virus, JC virus, B19 virus, CMV virus, adenovirus and six kinds of closely related viruses of circovirus (TTV) with graft injury.Test data see example 7, from the detection results of 100 clinical kidney transplant patients, it can be seen that the kit of the present application can simultaneously accurately detect the load level of six viruses, to provide comprehensive infection risk assessment for clinicians.Compared with the prior art single virus detection method, the present application avoids the cumbersome process of multiple sampling and detection, significantly improves the clinical work efficiency.

This invention discloses a triple qPCR system for comprehensively evaluating the toxin-producing capacity of Bacillus cereus and its application. The triple qPCR system simultaneously detects key genes of Bacillus cereus vomitoxin. cesB Key genes for non-hemolytic enterotoxin nheB、 Key genes for hemolytic enterotoxin hblD The nucleic acid sequences of the primers and probes corresponding to each virulence gene are shown in SEQ ID NO. 1-9. This invention designs specific primer and probe sets for key virulence genes of *Bacillus cereus* and establishes a triple qPCR system, solving the problems of long detection time, low detection efficiency, and low detection accuracy in existing technologies. This enables rapid and accurate detection of key virulence genes in *Bacillus cereus*, thereby accurately assessing the toxin-producing capacity of *Bacillus cereus*. It can be applied to the screening of key virulence genes of *Bacillus cereus* in highly contaminated dairy products, thus effectively assessing the toxin-producing capacity of *Bacillus cereus* and providing technical support and application basis for the prevention and control of foodborne diseases.