7results about How to "Sensitivity advantage" patented technology

The present invention discloses a suspension gap sensor for medium and low speed maglev trains, wherein the shell comprises a first shell part and a second shell part which are arranged in an L shape, wherein the other end of the first shell part away from the second shell part is arranged as an arc-shaped annular wall; the control unit is fixedly installed in the second shell part; the probe unit comprises a gap measuring coil group, a probe circuit board and a coil skeleton which are fixed in the first shell part in sequence from top to bottom, wherein the other side of the coil skeleton away from the control unit is arranged as a first arc-shaped end matched with the arc-shaped annular wall, the probe circuit board is electrically connected to the control unit, and the end of the probe circuit board is arranged as a second arc-shaped end; the gap measuring coil group comprises a gap measuring coil I and a gap measuring coil II, wherein the gap measuring coil I is arranged as an annular structure, and the gap measuring coil II is a rectangular structure; an epoxy resin glue layer is filled in the first shell part, and with the above arrangement, there is no dead angle for glue injection, thereby reducing the risk of glue layer cracking caused by curing stress.

The application relates to a power distribution facility anomaly detection method based on deep learning, and relates to the technical field of power distribution facility anomaly detection. The application collects electric characteristic signals of a power distribution facility at a set sampling rate, selects electric characteristic signals of a non-anomaly time period located on a slow spectrum submanifold as training data, minimizes a loss function, uses a full connection network to learn a mapping matrix from a nonlinear feature vector of the electric characteristic signals to a latent variable on a low-dimensional slow spectrum submanifold of the electric characteristic signals and a linear dynamics matrix in a latent space, in application, collects electric characteristic signals, uses the last corresponding latent variable of the electric characteristic signals and a predicted future latent variable obtained by iteration using the linear dynamics matrix, reconstructs a predicted non-anomaly electric characteristic signal through inverse transformation between the latent variable and the electric characteristic signal, and performs anomaly analysis by using the difference between the predicted non-anomaly electric characteristic signal and an actual electric characteristic signal.

The invention provides a primer group, a kit and a detection method for detecting five intestinal pathogens, and relates to the technical field of biotechnology, the primer group for detecting the five intestinal pathogens is characterized in that primers are respectively designed aiming at adenovirus 40, adenovirus 41, rotaid A group, norotype I and norotype I. The primer group further comprises an internal standard primer group aiming at an endogenous human housekeeping gene RnaseP, the five intestinal pathogens including adenovirus 40, adenovirus 41, rotaid A group, norotype I and norotype I can be detected at the same time, the limitation that a traditional detection method can only perform single detection is solved, the detection efficiency is improved, the detection time and cost are saved, the infection condition of a patient can be known more comprehensively, and the detection efficiency is improved through the elaborately designed and screened primer group. The high specificity and sensitivity to target pathogens are ensured, low-concentration pathogens can be accurately recognized and detected, the possibility of missed diagnosis and misdiagnosis is reduced, and powerful support is provided for early diagnosis and precise treatment of diseases.

The invention relates to a 2D / 3D heterojunction layer, a preparation method and a large-area direct perovskite wafer X-ray detector, and belongs to the technical field of perovskite radiation detection. Bismuth iodide (BiI3) and perovskite are combined to construct a 2D / 3D heterojunction, and BiI3 serves as a heterogeneous layer to be located on a perovskite light absorption layer and is further used in a large-area direct type perovskite wafer X-ray detector. After the BiI3 is driven by dynamic pressure, the two-dimensional surface of the BiI3 is gradually perpendicular to the stress direction, so that the orientation of the BiI3 tends to be consistent, namely the orientation of a single crystal, the anisotropy of the layer in the aspect of electricity is caused, and a potential barrier for hindering ion migration is provided. Meanwhile, after the heterostructure meeting energy level matching is formed, separation and collection of charges are facilitated, and therefore the X-ray detection performance is improved.

The invention relates to the technical field of nuclear medicine, and discloses a targeted compound bimolecular probe which comprises a component A and a component B which are labeled by radioactive metal nuclides respectively, the component A is a targeted fibroblast activation protein (FAP) molecular probe, and the targeted fibroblast activation protein (FAP) molecular probe comprises a trans-cyclooctene group (TCO); the component B is a targeted integrin alpha v beta 6 molecular probe, and the targeted integrin alpha v beta 6 molecular probe comprises a tetrazine group (Tz); wherein the radioactive activity ratio of the component A to the component B is (1-2): (2-1). The invention has the following technical effects: TCO in the targeted FAP molecular probe and Tz in the targeted integrin alpha v beta 6 molecular probe can be subjected to a biological orthogonal reaction to realize a three-stage amplification effect, increase the tumor uptake value, prolong the residence time of the targeted compound bimolecular probe, increase the target / non-target ratio and enhance the nuclear medicine diagnosis and treatment effects. The invention also discloses a preparation method and application of the targeted compound bimolecular probe.

The present application provides a fire prevention and early warning method and system for mountain photovoltaic power stations based on visual analysis, which relates to the field of intelligent fire protection technology in power stations. The method includes: based on edge nodes in each key monitoring area in the mountain photovoltaic power station, collecting real-time monitoring images and real-time smoke data of the corresponding key monitoring areas; sequentially detecting fire detection results based on lightweight models and high-precision models in edge nodes; in the case of determining that the fire detection result is a fire hazard, triggering the central server to receive historical monitoring images and historical smoke data from edge nodes, and construct monitoring image time series data and smoke time series data; inputting image time series features and smoke time series data into the fire time series analysis model to determine the fire identification result; when there is a fire, executing a fire warning operation. Thus, the edge network and multi-level model are used to implement multi-level and multi-dimensional data analysis to achieve rapid identification and early warning of early fires in power stations.

The invention relates to a protonated croconic acid cyanine polymer, a preparation method and a low-humidity resistive sensor, and belongs to the technical field of organic semiconductor devices. The structural formula of the polymer is # imgabs0 #, n is a positive integer, X is hydrogen or deuterium, and A <-> is Cl <->, HSO4 <-> and H2PO4 <->. The polymer can form a more complete hydrogen bond network under low humidity, so that the sensitivity of the polymer under low humidity is increased; the response in a wide humidity range of 11%-95% is maintained, and the sensitivity in a low humidity range (11%-33% RH) is improved; in addition, ions introduced by protonation can generate anion-pi interaction with a pi conjugated system, so that the stability of the polymer is improved.