6879 results about "Fluorescence" patented technology

A federated distributed computational system enables secure oncological therapy optimization through robotic integration. The system establishes a distributed graph architecture with secure communication channels connecting computational nodes, implementing encryption protocols for cross-institutional data exchange. Each node contains processing capabilities for fluorescence-guided imaging, uncertainty quantification, and expert knowledge integration while maintaining hierarchical knowledge graphs of oncological biomarkers, interventions, and outcomes. The system coordinates domain-specific knowledge through token-space communication and implements an advanced robotic integration system for surgical interventions using spatiotemporal tumor mapping, multi-modal fluorescence imaging, surgical robot coordination, and space-time stabilized mesh management. Key capabilities include wavelength-specific multi-modal fluorescence detection, combined epistemic and aleatoric uncertainty estimation, tensor-based data integration with adaptive dimensionality control, and light cone search for adaptive treatment optimization—all while maintaining strict privacy controls.

The invention relates to the technical field of power equipment state monitoring, in particular to an oil-immersed transformer distributed temperature measurement method based on a fluorescent optical fiber sensor, and the method comprises the steps: arranging the fluorescent optical fiber sensor in a key temperature rise region in a transformer in a partitioned and layered three-dimensional topological structure, and forming a distributed temperature measurement network; exciting light is injected through a pulse laser to excite a fluorescence signal; a dual-channel phase-locked amplification technology is used to collect signals, and a dual-weight adaptive attenuation model and an oil flow coupling compensation function are combined to demodulate the temperature; reconstructing a dynamic temperature field based on a three-dimensional thermodynamic inversion algorithm, and marking high-gradient hot spots; and temperature, load current and oil flow velocity data are fused to realize graded alarm. According to the invention, the limitation of traditional single-point monitoring is broken through, the strong electromagnetic interference resistance is excellent, a global temperature field can be accurately reconstructed, dynamic early warning is realized, and the operation safety and the operation and maintenance efficiency of the transformer are remarkably improved.

The invention relates to a control method of a digital ultrasonic flaw detector calibrating device. The control method comprises the following steps: acquiring shape data and material parameters of a to-be-detected material, calling a matched standard test block, calculating adaptive ultrasonic frequency and flaw detector parameters, creating and solving a multi-objective optimization model, and planning a detection path of the to-be-detected material based on an optimal solution; emitting ultrasonic waves with matched frequency to implant the quantum dot mark array to carry out fluorescence-ultrasonic dual-mode signal correlation calibration; scanning according to a planned detection path, establishing a time-varying channel model to predict a current time delay variation, extracting a fundamental frequency and a harmonic component of a probe excitation pulse by adopting an autocorrelation algorithm to serve as a reference, constructing a state vector of a filter based on the predicted current time delay variation, and performing phase correction on a received signal to obtain a phase correction signal; and analyzing the defect of the to-be-detected material based on the corrected receiving signal. By integrating material parameter dynamic modeling, multi-modal signal collaborative calibration and adaptive path optimization, the detection precision and efficiency under complex working conditions are improved.

The invention discloses a bed load particle starting test method and device, and relates to the technical field of hydromechanics, the method comprises the following steps: laying sediment particles in a wave water tank, and adjusting the water flow rate through flow control until the bed surface shear stress is less than the critical shear stress; tracer particles are excited to emit fluorescence through a laser beam, and a camera array is used for synchronously collecting instantaneous flow velocity of a flow field and displacement data of sediment particles; analyzing spatial and temporal distribution characteristics of turbulence energy dissipation and pressure energy dissipation based on a turbulence burst process, and establishing a sediment particle starting mathematical model; experimental data and computational fluid mechanics numerical simulation are combined, and the mathematical model is verified and optimized. According to the technical scheme, the analysis precision and the experimental convergence speed of the sediment starting criterion under the complex hydrodynamic force condition can be remarkably improved, and full-chain efficient cooperation from micromechanical response to macroscopic engineering application is achieved.

The invention relates to a saline intrusion measurement method, system and equipment based on dynamic ship motion conditions and a medium, and aims to solve the technical problem that the salinity inversion precision is reduced due to spatial-temporal dislocation between particle image velocity measurement flow field data and plane laser-induced fluorescence concentration field data caused by ship six-degree-of-freedom motion. According to the method, future poses are predicted by collecting ship motion parameters and environment disturbance parameters, and space-time compensation parameters are generated in combination with a static calibration matrix; performing three-dimensional coordinate transformation and time synchronization on synchronously acquired original flow field and concentration field data by applying compensation parameters, and eliminating space-time deviation caused by ship movement; a three-dimensional salinity distribution field is calculated based on registration data fusion flow field diffusion characteristics and concentration field distribution; and meanwhile, the pose of the measuring equipment is dynamically adjusted through the closed-loop controller so as to optimize the data acquisition quality. According to the method, ship motion interference is effectively inhibited, and accurate characterization of saline invasion frontal surface spatial characteristics is guaranteed.

When x-ray fluorescence (“XRF”) spectroscopy is utilized to classify materials transported on a moving conveyor belt, there is the possibility of the x-ray beam only partially irradiating the material piece, which can result in the capture of an inaccurate XRF spectrum needed to classify the material piece. This can lead to an improper (erroneous) classification and resultant sortation of material pieces (e.g., aluminum alloys). In a material handling system, the area of the intersections between the x-ray beam spots from an x-ray fluorescence system and the material pieces are measured and correspondingly used to correct the measured XRF spectrum associated with each material piece. The material pieces can then be sorted according to the corrected XRF spectrum.

The invention discloses a high-sensitivity miniaturized HOx free radical accurate measurement device and method, and relates to the technical field of atmospheric environment detection and automatic control, and the device is composed of a free radical generation and removal device, a light source module, longitudinal HOx double cavities, a gas distribution module and a collection and control system. The free radical generation and removal device can generate HOx free radicals or remove OH free radicals; the light source module can emit laser which enables OH free radicals to generate fluorescence and transmit the laser into the longitudinal HOx double-cavity; the longitudinal HOx double cavities are used for exciting OH free radicals to generate a large amount of fluorescence and collecting and converting the fluorescence into electric signals; the gas distribution module is used for injecting gas in the device and maintaining the flowing state of gas flow; and the control and acquisition system is used for controlling automatic operation and data acquisition and processing of the device. The device has the advantages of being high in detection sensitivity, small in size and capable of rapidly obtaining and removing OH free radical measurement interference, rapid calibration of similar concentration can be conducted on the actual HOx concentration in the actual measurement environment, accurate spectrum determination can be conducted on the laser wavelength, and therefore high-sensitivity accurate measurement of HOx free radicals is achieved.

The invention discloses a detection method of an ocean magnetic field sensor based on a diamond NV color center. The detection method comprises the following steps: S1, calibrating a base line; s2, alternately measuring fluorescence between two single quantum resonance frequencies, and obtaining a difference to realize DQ reading; s3, three-axis compensation current is adjusted based on closed-loop control, and the NV working point is maintained at zero magnetization bias; s4, obtaining background magnetic field change through digital demodulation and adaptive filtering; and S5, calculating a gradient based on the spatial difference of the multi-point light spots, judging the existence and trajectory of the underwater vehicle in combination with a threshold value and a spectrum matching method, calibrating the threshold value according to the magnetic field characteristics of the existing underwater vehicle, adopting short-time Fourier transform signal spectrum, comparing the threshold value with known submarine characteristic spectrum data, and prompting if the similarity exceeds a set threshold value. According to the detection method, the measurement precision and the anti-interference capability can be improved, and the method is suitable for real-time monitoring of weak magnetic anomalies (such as magnetic moment disturbance of an underwater vehicle).

The invention provides a microscopic automatic focusing method and system based on image gray histogram characteristics, and the method comprises the steps: collecting an image sequence under different focal lengths, carrying out the fuzzy processing, extracting a gray histogram of each frame of image, and calculating the peak position and full width at half maximum of the histogram as the evaluation characteristics of the image definition; calculating the variance of each feature and automatically allocating a weight according to the relative response degree; and finally, comprehensively evaluating the image definition through a weighted definition scoring function, and selecting the focal length corresponding to the image with the optimal score as the optimal focusing position. The method is based on the global features of the gray histogram, is high in anti-noise capability, is adaptive to different imaging scenes through weight adaptive adjustment, is low in calculation complexity, supports real-time focusing, is especially suitable for high-noise fluorescence microscopic imaging scenes, is high in system portability, is low in operation threshold, and effectively improves the accuracy and stability of microscopic automatic focusing.

The invention discloses a transformer oil leakage detection method and device based on polarization-ultraviolet fusion imaging, and the device comprises a housing, a support, a camera, an environment induction device, an overall controller, a power supply, a polaroid rotating wheel assembly, a lens seat assembly, and an image processor. And the motor driver, the illumination intensity sensor, the ultraviolet irradiance sensor, the image processor and the power supply are electrically connected with the integral controller respectively. According to the invention, a multi-angle polarization image and a non-polarization image in the same field of view can be acquired, and then polarization characteristics contained in an oil stain fluorescence signal are extracted and effectively distinguished from non-polarization characteristics of background light; in the daytime mode, the transformer oil leakage detection device can identify a target area with relatively high polarization intensity, and through image fusion enhancement processing, non-target background signals are significantly suppressed, and the fluorescence significance of an oil leakage characteristic area is improved.

Methods and devices for analyzing a sample from a subject are provided. A device includes one or more coherent light sources and one or more partially coherent light sources. The light sources are configured to emit first and second wavelengths of electromagnetic radiation towards an imaging chamber configured to hold blood cells. The light sources are aligned to illuminate a single common area of the imaging chamber. The device includes optics positioned to receive light from the imaging chamber, and a detector in optical communication with the optics. The detector is configured to detect fluorescence emission and backscatter from blood cells when present in the imaging chamber. The device includes mixers / unmixers configured to replicate and mix first and second signals representative of the responses to the first and second wavelengths after interacting with the plurality of blood cells to generate spectro-spatial responses.

The utility model relates to the field of microfluidic detection and fluorescence immunoassay, in particular to a portable biochemical blood coagulation and fluorescence immunoassay integrated analysis device, which comprises a shell, a power supply arranged in the shell, two support plates arranged in the shell, a fluorescent bracket fixedly connected to the upper ends of the support plates, a support arranged in the shell, a lamp source arranged at the upper end of the support, and a light source arranged at the lower end of the lamp source. A microfluidic detection module is mounted in the support, a fluorescence immunodetection module is mounted at the upper end of the fluorescence bracket, an optical module is arranged in the fluorescence immunodetection module, and a bar code scanner for confirming information of a detection chip or a reagent strip is arranged on one side of the optical module; compared with the traditional detection equipment with a single function, the double detection functions of biochemistry and fluorescence immunity are realized, the detection efficiency and comprehensiveness are greatly improved, meanwhile, the kit also supports the simultaneous detection of three reagent strips with different specifications, and the flexibility and convenience of the detection are further enhanced.

A neurosurgery system for probing brain tissue of a patient for tumorous tissue. The system including a suction tool, an excitation source, an optical instrument, and a controller. The suction tool including a suction cannula defining a lumen, an optical fiber configured to transmit fluorescence emitted by the brain tissue; and an indicator configured to selectively emit visible light. An excitation source is configured to emit an excitation light having a wavelength to induce the fluorescence in the tumorous tissue. The optical instrument is coupled to the optical fiber. The optical instrument configured to convert the fluorescence emitted by the brain tissue and transmitted by the optical and configured to determine that the brain tissue is tumorous based on the electrical signal and activate the indicator based on the determination.

The invention discloses an MXene-based coating with a near-infrared light induction interaction effect and a preparation method of the MXene-based coating, and relates to the technical field of coatings. The preparation method comprises the following steps: a nano microcapsule and MXene powder are subjected to in-situ growth to form a composite dispersion liquid, the nano microcapsule is of a core-shell structure, a shell layer material is selected from at least one of polyaniline, polyurea, polyurethane, polyacrylate and silicon dioxide, a core contains a functional substance, and the surface of the core contains a porous material. The functional substances are selected from at least two of a corrosion inhibitor, a fluorescent indicator and a lubricant; adding a thermal reversible coating containing dynamic covalent bonds and a curing agent into the composite dispersion liquid, and uniformly mixing to form a homogeneous coating; and spraying the homogeneous coating on the surface of a base material, and curing to obtain the coating. The coating is high in mechanical strength, has a near-infrared light triggered self-repairing function, is high in self-repairing rate, and can realize multiple functions such as fluorescence labeling, corrosion early warning and lubrication coordinated regulation and control.

The invention discloses a flow field velocity measurement and visualization device and method, and relates to the technical field of flow field display measurement, and the device comprises a two-color laser emission system, a surface dielectric barrier discharge system, a Cassegrain light path shaping system, a fluorescence signal detection system and a data processing system. Wherein the two-color laser emission system is used for generating femtosecond pulse laser and first laser, and the femtosecond pulse laser and the first laser are converged and collimated by the Cassegrain light path shaping system and then are focused to a detection area to cooperatively excite nitrogen molecules; the surface dielectric barrier discharge system forms a plasma environment in the detection area; the fluorescence signal detection system is used for collecting nitrogen molecule fluorescence signals in the detection area; and the data processing system is used for controlling a time sequence, realizing visual representation of a flow field structure in a detection area and realizing speed measurement of a flow field in the detection area, and the device and the method can realize synchronous acquisition of a speed vector and flow field structure parameters near a wall surface under a millimeter-level spatial resolution and a microsecond-level time scale.

The invention is an apparatus for amplifying cooling through interaction with electromagnetic radiation for optical of objects and / or object surfaces with essentially three layers, which are a bottom layer that is comprised of a single or multi layered material configured to emit IR radiation; a middle layer that is comprised of a single or multi layered material configured to respond in anti-Stokes fluorescence upon absorption of electromagnetic radiation; and a top layer that is comprised of a single or multi layered material configured to reflect selected spectral band(s) and / or amplify selected spectral band(s) of the electromagnetic radiation transmittable to the middle layer.

The invention discloses a flexible force-induced luminescence microstructure optical waveguide and a preparation method thereof. The flexible mechanoluminescence microstructure optical waveguide comprises an inner-layer fiber core, n mechanoluminescence composite blocks tightly attached to the inner-layer fiber core, a wrapping layer wrapping the inner-layer fiber core and the n mechanoluminescence composite blocks, and a protection layer coating the surface of the wrapping layer. The n mechanoluminescence composite blocks generate fluorescence signals with different colors under the action of external stress, the fluorescence signals are collected through the inner-layer fiber core and the cladding of the optical waveguide and are transmitted to a far end along the inner-layer fiber core to be detected and demodulated, the sensing section corresponding to stress is determined through the demodulated color, and the corresponding stress is determined through the luminous intensity. The composite material is good in biocompatibility, integrates sensing and transmission functions, and can be used in human body wearable equipment. According to the preparation method, different structures can be prepared in the optical waveguide layer by layer in a mode of customizing different molds, and different purposes are met by integrating different materials.

The invention discloses a fluorescence lifetime imaging phase analysis method based on deep learning, a terminal and a readable storage medium, and the method comprises the steps: obtaining counting data of time-dependent single photon counting of each pixel in a measured sample image, and measuring a response function of a used instrument, inputting the convolution attenuation data and the response function into a deconvolution neural network; the deconvolution neural network outputs a deconvolution signal of each pixel according to the response function and the counting data of each pixel; and performing phase transformation according to the deconvolution signal of each pixel, and obtaining the fluorescence lifetime of each pixel. According to the method, the time migration caused by the instrument response is regarded as the convolution caused by the instrument response function, and then the neural network is adopted to carry out deconvolution on the counting data, so that the time migration caused by the response function is calibrated and corrected, a traditional phase calibration process is not needed, and accurate analysis of the service life is realized.

The invention relates to the technical field of cell sorting, in particular to a sorting control system and a sorting method of a flow cytometer, the system comprises a data acquisition unit and a control unit, and the method comprises the following steps: acquiring a plurality of breakpoint images of liquid drops to determine whether the forming process of the liquid drops is qualified or not according to the pixel variance of breakpoints; determining whether the oscillation stability is qualified or not according to the oscillation area of the oscillation curve of the piezoelectric ceramic based on the unqualified droplet forming process so as to determine whether the sheath fluid flow velocity is obtained or not; determining a matching degree based on the flow velocity curve of the sheath fluid flow velocity and the frequency curve of the liquid drop to increase the sheath fluid pressure according to the fluctuation intensity of the fluorescence signal; determining a target liquid drop according to a fluorescence detection result, determining liquid drop delay according to the target liquid drop, and determining whether the target liquid drop can fall into the collecting pipe or not according to the initial deviation angle of the target liquid drop, so as to adjust the inter-plate voltage of the deflection plate. The sorting precision is improved.

A flying-over beam pattern scanning hologram microscope device includes: a scan beam generation unit which converts a first beam and a second beam to a first spherical wave and a second spherical wave, and then allows the first and second spherical waves to interfere with each other to form a scan beam; a scanning unit, which comprises a scan mirror for controlling the scan beam in the horizontal direction, and a translation stage for moving an object in the vertical direction at the rear end of the projection unit; the projection unit projecting the scan beam onto an object plane; and a light collection unit for detecting a beam that has passed through the objective lens again after fluorescing or being reflected from an object.

The invention belongs to the technical field of glass production and manufacturing, and particularly discloses a glass substrate edge detection system and a repairing method thereof, and the glass substrate edge detection system comprises a transmission unit, a detection module, a processing control module, a repairing execution module and an auxiliary unit. The detection module adopts a multispectral imaging and laser displacement sensing technology: a visible light imaging unit captures surface texture defects, a near-infrared imaging unit detects internal microcracks in a penetrating manner, and an ultraviolet imaging unit excites a fluorescent substance to enhance the defect contrast; the laser displacement sensor is combined with an adaptive focusing technology to realize three-dimensional contour submicron-level measurement. And the processing control module identifies the defect type through a deep learning algorithm and generates a repair instruction based on the three-dimensional data. And the repairing execution module is used for quickly changing a laser repairing head, a glue repairing head or a grinding head through a mechanical arm and executing repairing processes such as laser cladding, nano spraying or UV glue repairing according to parameters such as the edge breakage depth and the crack length, so that the detection precision and the repairing efficiency of the edge defects of the glass substrate are remarkably improved.

The invention provides a dual-fluorescence and visible light image fusion method and device, electronic equipment and a medium, and relates to the technical field of image processing, and the method comprises the steps: obtaining a visible light image and a fluorescence original image in a target scene at the same time; based on the original fluorescence image, obtaining a conversion hue, a first saturation and a first brightness, the conversion hue being a value obtained after linear conversion of a hue value of the original fluorescence image; identifying a green component and a blue component based on the converted hue and the original fluorescence image to obtain a mask image having information of the green component and the blue component; based on the visible light image, the mask image, the first saturation and the first brightness, the fusion image is obtained, and the fusion effect of the visible light image and the dual-fluorescence image is improved.

The invention provides a wafer thinning equipment control method and device, electronic equipment and a storage medium, and relates to the technical field of wafer thinning. The method comprises the following steps: monitoring spreading and thinning behaviors of a spin-coating liquid film in real time and generating a residual layer distribution diagram; according to an area indicated by the residual layer distribution map, obtaining local thickness information by analyzing a fluorescence signal received from the area; after a laser beam is used for scanning the surface of the wafer, micro-vibration signals are recognized and extracted by analyzing reflected light signals; dividing the surface of the wafer into a plurality of grid areas; and the risk of generating cracks in each grid area is evaluated, and a wafer surface risk thermodynamic diagram used for controlling the grinding head and the grinding fluid is generated. The method aims at solving a series of problems caused by a microcosmic residual layer on the surface of the wafer or surface energy difference in the wafer thinning process, early and accurate sensing of microcosmic abnormity on the surface of the wafer is achieved, and a control system is guided to conduct regional and self-adaptive grinding parameter adjustment.

The invention relates to the technical field of biological microscopic imaging, and discloses a denoising and deconvolution super-resolution imaging method and device based on optical switch molecules, electronic equipment and a computer readable storage medium. The method comprises the following steps: acquiring a plurality of fluorescence image sequences, wherein to-be-imaged structures of images in the fluorescence image sequences are marked by optical switch fluorescence molecules; each sequence is generated by utilizing the photoswitch characteristic of the photoswitch fluorescent molecules, and the sequence comprises at least one bright-state image and at least one dark-state image; performing de-noising processing on each bright-state image and each dark-state image in the plurality of fluorescence image sequences to obtain de-noised images; and carrying out deconvolution processing on the denoised image to obtain a corresponding super-resolution imaging image. The requirement for imaging equipment is low, the method can be used for various imaging technologies, the size of an imaging area is not limited, the requirement for large-view-field fixed biological sample imaging in an application scene can be met, and fixed cell and tissue large-view-field super-resolution imaging is achieved.

The invention discloses an all-optical three-dimensional scanning confocal fluorescent microscopic imaging device and an implementation method thereof. According to the invention, through a deep learning driven adaptive regulation and control method, CNN is adopted to process spatial distribution data and dynamically regulate and control a phase hologram and the light intensity and phase compensation of a laser, so that the focal point of exciting light is subjected to aberration-free axial displacement, a bidirectional parallel optical scanning track of a two-dimensional scanning system is optimized, and all-optical three-dimensional scanning is realized; lSTM and TCN are combined to obtain a time sequence dependency relationship, a laser light source, an adjustable diaphragm, an electric focus-adjustable lens and a photoelectric detector are integrally controlled, efficient synchronization and automatic operation and high-speed axial focusing adjustment are realized, errors and time sequence mismatch are eliminated, optical characteristics of different samples and environmental interference are automatically adapted, and high-quality imaging is kept. The robustness and the applicable scene range of the system are improved; the method is used for model biological embryo real-time tracking, intracellular signal molecule dynamic visualization, cell membrane protein migration and aggregation observation and intracellular organelle interaction tracking.

The invention relates to the technical field of LED display, and discloses an LED display color calibration method, device and system. The method comprises the following steps: applying a reverse test voltage to LED pixels in an LED display panel in a display frame blanking period, and calculating a real-time junction temperature value and a service life state value of each LED pixel; discrete phase coding reconstruction is carried out on the original display driving signal to obtain a temperature self-adaptive driving compensation signal; a temperature-sensitive fluorescent composite material layer is arranged on a substrate layer of an LED display panel, and the temperature-sensitive fluorescent composite material layer is activated through blue light components emitted by LED pixels to obtain an optical passive compensation spectrum; dividing the LED display panel into a plurality of independent control areas and generating an inter-area cooperative compensation parameter set; and constructing a pixel-level point diffusion compensation function and performing spatial domain dynamic compensation to obtain an LED display output image after color calibration. According to the invention, the problem of non-uniform area caused by manufacturing batch difference of a large-size display screen is effectively solved.

The invention discloses an intelligent sorting method and device for a positive electrode material of a retired lithium ion battery based on a spectrum method, and the device is connected in series with a pretreatment module, a cleaning module, an identification module and a sorting module through a conveying belt in a supporting module to form an automatic sorting assembly line. Pre-treating the retired battery to obtain a clean positive plate; an X-ray fluorescence spectrophotometer in the recognition module collects the spectrum of the positive plate and transmits the spectrum to an industrial personal computer, and the spectrum is preprocessed and then input into a classifier library; the classifier library comprises a main classifier and an increment classifier based on element and spectral shape dual channels, if the output confidence reaches a preset threshold value, the material category is judged, otherwise, the spectrum is temporarily stored as an unknown spectrum; after unknown spectrums are accumulated to a set number, new categories are identified through a clustering algorithm, and a lightweight dichotomy increment classifier is trained and added into a classifier library; and the sorting module drives the hydraulic pushing hand to sort the positive plates according to the identification result. Through cooperative evolution of the main classifier and the increment classifier, the sorting precision is effectively improved.

The invention discloses a heat supply pipeline welding seam detection device, and relates to the technical field of heat supply pipeline processing, the heat supply pipeline welding seam detection device comprises a transmission mechanism 1 and a detection bin, the transmission mechanism 1 is provided with an inverted U-shaped support, the bottom wall of the horizontal section of the inverted U-shaped support is slidably connected with magnetization members in a front-back symmetrical manner, and the inverted U-shaped support is provided with a clamping member and a pretreatment mechanism; a detection bin is arranged on the left side of the first conveying mechanism, and a transferring mechanism, a marking mechanism and a second conveying mechanism are arranged on the detection bin. Through cooperation of the driving assembly and the brushing assembly, the outer wall of the to-be-detected pipe fitting is brushed, the situation that magnetic powder, oxide skin, burrs and the like adhere to the surface of the pipe fitting, the magnetic powder gathering phenomenon caused by non-defect factors is caused, and misjudgment occurs in the detection process is avoided, through cooperation of the driving assembly and the flushing assembly, the pipe fitting is flushed, and the detection efficiency is improved. The scraped impurities are prevented from being attached to the outer wall of the to-be-detected pipe fitting, and meanwhile, the pre-wetting treatment can be carried out, so that the fluorescent magnetic suspension is helped to cover the surface of the pipe fitting more uniformly.

The utility model discloses a detection device and a control system for settlement of a lap joint surface of a new roadbed and an old roadbed, and relates to the technical field of road engineering monitoring, the detection device comprises a first support plate, a second support plate, two solar panels, two vibration sensors and two storage batteries, a placing box is mounted on the supporting rod, a laser displacement sensor and an industrial camera are mounted in the placing box, a detection plate is mounted on the second supporting plate, and a fluorescent graduated scale is mounted on the detection plate; according to the utility model, the traditional threaded rod and threaded cylinder adjusting mode is replaced by optimizing the adjusting mechanisms, the problems that a threaded structure is easy to wear and block and the manual operation efficiency is low are effectively solved, and a composite monitoring mode of the laser displacement sensor, the industrial camera and the fluorescent graduated scale is adopted, so that the monitoring precision is improved. And a multi-dimensional auxiliary assembly is combined to improve the reliability of the system.

The invention discloses a wafer quality analysis method based on image recognition, and particularly relates to the field of semiconductor manufacturing quality detection, which comprises the following steps: synchronously acquiring wafer two-dimensional images under visible light, infrared and ultraviolet spectrums through a multispectral and high-resolution fusion camera combination model; the structured light three-dimensional reconstruction technology is used for obtaining surface three-dimensional shape data, a self-adaptive noise suppression algorithm is applied, noise features are recognized through frequency domain analysis, filtering parameters are dynamically adjusted, targeted noise reduction is achieved, a multi-scale feature pyramid and quantum dot mark recognition fusion model is constructed, defect contours and material heterogeneous areas are extracted in a layered mode, and the defect detection precision is improved. The method comprises the following steps: extracting microstructure characteristic parameters by combining a quantum dot fluorescence labeling technology, mapping microscopic characteristics and three-dimensional shape data to a multi-modal space model, generating three-property parameters of a wafer, establishing a three-dimensional evaluation system, comprehensively judging a quality grade and outputting an analysis report, so that the precision and efficiency of wafer quality detection are remarkably improved.