39 results about "Sample area" patented technology

This application relates to a method, apparatus, and equipment for soil erosion analysis. A pre-set model is trained by comprehensively considering soil erosion driving factor data, spatial structure characteristics, and soil erosion modulus data of the sample area. During training, the spatial autocorrelation of the prediction residuals of the soil erosion prediction model is ensured to meet a pre-set non-significant condition, thereby overcoming the problem of existing machine learning models neglecting spatial characteristics. In the prediction stage, the trained model is used in conjunction with the soil erosion driving factor data and spatial structure characteristics of the target prediction area to obtain accurate soil erosion modulus data, thus obtaining reliable soil erosion analysis information.

This invention provides a portable colorimetric detection system for astaxanthin based on a smartphone, belonging to the field of colorimetric detection technology. Its features include: an optical detection platform for accommodating the Yeast lipolyticis fermentation broth sample and providing a standardized optical detection environment; a smartphone with its camera pointed at the sample area of ​​the optical detection platform for acquiring images of the fermentation broth sample; a color analysis module embedded in or connected to the smartphone for extracting color feature parameters from the acquired images; and a quantitative model module pre-stored with a linear regression model based on the color parameters of the fermentation broth and the astaxanthin concentration, the model being constructed based on the (R+G) / 2 parameter, used to calculate the astaxanthin concentration in the sample based on the color feature parameters. The advantages of this invention are: simplified detection steps, convenient and rapid sample detection, and real-time sample monitoring.

This invention discloses a method for optimizing the design of complex equipment based on a hybrid adaptive sampling surrogate model. This method divides the design space into several Voronoi polygons controlled by sample points. Three indices—leave-one-out error, local nonlinearity, and polygon region size—are used to evaluate the importance of each sample point region. An entropy-weighted distance method is used to select the most suitable sensitive region for adding points. A learning function based on error estimation is then combined to determine new sampling points. This iterative update constructs a high-precision surrogate model, establishing a mapping relationship between design parameters and optimization objectives, thereby solving the design optimization problem. This invention innovatively proposes a multi-index adaptive weight allocation method to select sensitive sample regions and proposes a novel learning function to determine the location of added points. This method can construct a high-precision surrogate model using fewer sample points and can be used for the optimization design of complex equipment, including but not limited to tunnel boring machines.

The application relates to the technical field of geotechnical engineering, and particularly discloses a power transmission engineering pipe pile uplift bearing capacity intelligent prediction method and system, the method comprises the following steps: determining the limit uplift bearing capacity of each pipe pile in a preset sample area; acquiring the real-time load and pile head displacement of each pipe pile in an operation stage, and fitting a load response quantity; determining a coefficient distribution map according to the limit uplift bearing capacity of each pipe pile and the load response quantity thereof; receiving a user-inputted to-be-installed area, matching the coefficient distribution map in a dynamic database, and predicting the limit uplift bearing capacity based on the coefficient distribution map and pipe pile installation information; on the basis of predicting the limit uplift bearing capacity, actual use conditions are acquired through a sensor in an actual application stage, a dynamic influence coefficient determined by an area is generated, and the prediction results of subsequent same-type areas are corrected, so that the prediction accuracy is improved at a very low cost.

The present application relates to the technical field of pesticide detection, and particularly relates to a rapid detection system for pesticide residues in grain. A portable device such as a mobile phone is used to collect an image of a reaction area of a detection reagent, and a standardized sub-image set of a sample detection area, an environmental reference area and a concentration reference area is obtained by segmentation. After the environmental reference correction image, the concentration reference area data is fitted to generate a dynamic calibration curve and calculate the goodness of fit. A high-dimensional visual feature vector of the sample area is extracted, a pre-trained model is input in combination with the calibration curve, and an estimated concentration of pesticide residues and an abnormality determination result are obtained. Finally, the overall confidence is calculated by comprehensively considering multiple indexes, and a standard detection report is generated according to a threshold value. The present application can realize rapid and accurate detection of pesticide residues in grain in a complex scene.

This invention relates to the field of low-altitude economic technology and discloses a multi-scale evaluation method and system for road surface skid resistance performance that integrates low-altitude imagery and skid resistance contribution areas. The method includes extracting macroscopic texture feature parameter sets for each evaluation unit; extracting microscopic texture feature parameter sets for skid resistance contribution areas from selected measured sample regions; for evaluation units not measured, inputting their macroscopic texture feature parameter sets into a pre-constructed cross-scale feature association model group to obtain estimated values ​​of microscopic texture feature parameters and friction contact area ratio for their skid resistance contribution areas; and integrating macroscopic texture feature parameters, microscopic texture feature parameters, and friction contact area ratio to calculate a comprehensive skid resistance performance evaluation index, thereby determining the skid resistance performance level of each evaluation unit. This invention can accurately deduce the microscopic skid resistance characteristics of the road surface, eliminating the reliance on time-consuming and labor-intensive ground equipment for traditional large-scale road surface microscopic texture detection, and greatly improving the efficiency of road network-level skid resistance evaluation.

The present disclosure provides a model training method, comprising: determining a first data set, the first data set comprising a plurality of samples in an initial density distribution, the initial density distribution representing an initial value probability distribution within a preset sample interval; training an initial model using the first data set to obtain a first training result; adjusting a sample density distribution weight of the preset sample interval based on a difference between the first training result and a target training result to obtain a second data set, the target training result being based on a corresponding data activation of a second activation function, the second activation function being a nonlinear function; and repeatedly adjusting the sample density distribution weight and training to obtain a target model. The present disclosure adjusts the sample density distribution weight of the preset sample interval and trains the model using the data set after adjusting the distribution weight, thereby improving the accuracy of model training.

A carrier for a sample holder includes a frame defining a holding space to receive the sample holder. The frame is configured to enclose the sample holder at least partially on a plurality of sides. The frame is configured to enable visual inspection of at least a sample area of the sample holder. The frame includes at least one handling structure configured to be engaged by a handling device.

The application discloses a kind of plastic drainage plate drainage channel soil particle invasion in situ test method, prepare a test container, vertical in test container The degradable plastic drainage plate sample to be tested is arranged, and soil sample is filled into test container;Using CT scanning imaging unit scans the above-mentioned test container in degradation culture process, obtains RAW projection data;RAW projection data is reconstructed into three-dimensional gray scale image data, and the test container and plastic drainage plate positioning support are cut from three-dimensional gray scale image data, and the degradable plastic drainage plate sample area is retained;Then a series of two-dimensional cross-section slices are intercepted along the length direction of degradable plastic drainage plate sample, the gap area surrounded by core plate and filter membrane in each cross-section slice is identified and calculated, the area of the gap area is calculated, if soil sample invades the gap area, record as drainage channel loss, and further calculate channel loss rate.

The present application relates to a kind of transmission electron microscope image sample geometry characteristic parameter measurement method and device, wherein method includes: obtaining transmission electron microscope image, and the transmission electron microscope image is preprocessed;The transmission electron microscope image after pre-processing is input to semantic segmentation model and is carried out pixel-level segmentation generation segmentation mask to sample area and background area;Geometric characteristic parameter of sample in the transmission electron microscope image is automatically calculated based on segmentation mask;The geometric characteristic parameter is realized pixel value to physical unit conversion by image scale information.This application can realize the automatic, high-precision measurement of sample geometric characteristic parameter.

Systems and methods for operating a cabinet irradiator. The methods comprise: receiving a sample holder in a receptacle of an XYZ stage platform of the cabinet irradiator (sample(s) is(are) disposed on the sample holder); controlling the XYZ stage platform to move the sample holder under a camera such that an optical axis is centered over a sample area of the sample holder; displaying a top-down image of the at least one sample in a first graphical user interface along with at least one virtual box having an adjustable size and being movable relative to the top-down image; receiving a user input specifying at least one area of the at least one sample that is to be irradiated via movement and or resizing of the at least one virtual box; receiving a user input selecting or defining an irradiation treatment plan; and irradiating the sample(s) in accordance with irradiation treatment plan.

The application discloses a high-temperature thermal conductivity testing system and testing method for medium thermal conductive materials, and belongs to the technical field of measurement, which comprises: a sample area to be tested; a heating area and a detection area are oppositely arranged at two ends of the sample area to be tested; a first heat insulation layer is arranged around the outside of the sample area to be tested; one end of the first heat insulation layer is connected with the heating area, the other end is provided with a second heat insulation layer, and the second heat insulation layer is connected with the detection area. The first heat insulation layer is arranged to slow down the transverse heat dissipation of the sample area to be tested, on the one hand, the temperature change gradient of each area near the heating area and the detection area is reduced, and the sample area to be tested is heated more uniformly; on the other hand, the temperature difference between the inner side and the outer side of the first heat insulation layer is reduced by the uniform temperature layer, the transverse temperature loss of the sample area to be tested is reduced, and the problems that it is difficult to obtain the thermal conductivity data of the medium thermal conductive material at high temperature and the measurement data is inaccurate are solved.

The present application belongs to the technical field of aero-engine compressor test data processing and state discrimination, and relates to a compressor instability surge data analysis method based on moment functions. The present application takes the compressor dynamic pressure time series as the processing object, obtains the analysis sequence under the unified time scale through the finite impulse response filtering and downsampling, and can reduce the influence of high-frequency sampling data redundancy and local noise on the subsequent discrimination; the present application uses the sliding window surge index to automatically calibrate the surge starting reference time, and forms the steady-state sample interval and the risk sample interval accordingly, thereby reducing the subjective difference caused by manual visual calibration; the present application constructs the statistical moment characteristic table containing the mean, variance, skewness, kurtosis, variance growth rate, skewness offset and excess kurtosis, and can more completely represent the changes of pressure signal fluctuation intensity, distribution offset and sharpness compared with single amplitude discrimination.

The utility model relates to animal pathological experiment technical field, more particularly to audio-visual organ integration sampling device, include: sampling board, the sampling board constructs for the light -transmitting structure, the bottom of sampling board is equipped with the polychromatic light source for the illumination sampling board, make the tissue structure that is in the sampling board work surface can be in different color light source background, the work surface of sampling board includes sampling area and waste recovery area. The utility model integrates multiple function design, including adopting polychromatic light source to create polychromatic backlight environment for sampling board, set up the positioning groove of spherical / ellipsoidal surface and the linear positioning groove of grid on the surface of sampling board, are used for positioning the cutting direction of special tissue and cutter, are favorable to the formation even thickness's tissue section, in addition, through the cross laser projection, magnifying glass and auxiliary lighting device that set up, are favorable to the improvement sampling precision, increase the observation definition of small structure.

The application belongs to the technical field of geographic information systems, and discloses a method and system for calculating regional three-dimensional greenness based on airborne and ground laser point clouds, which comprises the following steps: obtaining airborne laser point cloud data and ground laser point cloud data of a sample region and performing preprocessing; calculating a first three-dimensional greenness value of the sample region according to preset first voxel parameters and the preprocessed airborne laser point cloud data; calculating a second three-dimensional greenness value of the sample region according to preset second voxel parameters and the preprocessed ground laser point cloud data; constructing a greenness correction model based on the first three-dimensional greenness value and the second three-dimensional greenness value; obtaining airborne laser point cloud data of a target region, and obtaining a corrected target region greenness value through the airborne laser point cloud data of the target region and the greenness correction model; and the application can obtain a regional three-dimensional greenness result close to the reference level of ground point cloud data under the premise of reducing the cost of obtaining ground point cloud data.

The application discloses an irradiation data prediction method, device, system and computer readable storage medium, and the method comprises the following steps: obtaining to-be-predicted power station information and to-be-predicted power station satellite irradiation data corresponding to a to-be-predicted position in a target area; determining irradiation data corresponding to the to-be-predicted position based on the to-be-predicted power station information, the to-be-predicted power station satellite irradiation data and a target irradiation prediction model pre-trained, wherein the target irradiation prediction model is trained based on power station information, power station irradiation data and power station satellite irradiation data corresponding to a target sample area in the target area. According to the power station information, the power station irradiation data and the power station satellite irradiation data of the target sample area, the target irradiation prediction model is trained, the irradiation data acquisition cost is reduced, the target area at any position in the target area is predicted through the target irradiation prediction model, and the accuracy of irradiation data prediction is improved.

The invention relates to a method for light microscopic imaging of a sample, wherein a scanning device scans at least one illumination focus over or through the sample during a pre-scan of a sample area, wherein light emissions from emitters in the sample are detected by a detector during the pre-scan, wherein the light emissions are assigned target positions of the at least one illumination focus in the sample, and wherein actual positions of the at least one illumination focus in the sample, assigned to the target positions, are detected by a measuring device during the pre-scan, and wherein a subsequent step is carried out within a sub-area of ​​the sample area.in which a position in the sample area depicted by the pre-scan is controlled based on the recorded actual positions, or image processing is carried out based on the light emissions and the assigned actual positions, and / or at least one measured value is determined, as well as devices and computer programs for carrying out the procedure.

This application provides an extended field-of-view light sheet fluorescence microscopy imaging system, method, and product, including a beam generation unit, a light sheet generation unit, a sample carrying unit, and a signal detection unit. The beam generation unit is configured to phase-modulate an incident Gaussian beam based on a preset phase pattern to obtain a target Bessel beam. The light sheet generation unit is configured to generate a Bessel light sheet based on the target Bessel beam. The sample carrying unit is configured to position the carried sample in the scanning area of ​​the Bessel light sheet. The signal detection unit is configured to collect the fluorescence signal generated by the sample in the scanning area. This application utilizes a long depth-of-focus, diffraction-free beam as the illumination light in light sheet fluorescence imaging, which overcomes the technical bottleneck of traditional Bessel beam light sheet imaging, which cannot guarantee resolution while improving the imaging field of view. This allows for covering a larger sample area in a single exposure, thus increasing imaging speed.

The application relates to a snow depth distribution monitoring method, which utilizes a snow depth distribution map with different resolutions of a sample area and environmental spatial feature data affecting the snow distribution, firstly pretrains a diffusion model by constructing pre-training data, so that the diffusion model learns the correlation between the snow depth parameters of a grid pixel and the environmental spatial features; secondly fine-tunes the pre-trained diffusion model by using constructed fine-tuning training data, so that the model learns the mapping relationship between the snow depth distribution maps with different resolutions; and finally inputs the snow depth distribution map of a region to be monitored into the fine-tuned diffusion model, so that a high-resolution snow depth distribution map is obtained, and high-precision snow depth distribution data is acquired.

The application discloses a kind of sand earthquake liquefaction discrimination method and system based on SSA-CNN-SVM model coupling, and the present application relates to the technical field of seismic safety evaluation, comprising the following steps: obtaining historical sand liquefaction sample data set, including key influence index and liquefaction state label, while collecting geographic location information, extract statistical characteristic parameters to calculate anti-liquefaction intensity index and vibration intensity index, and according to the weighted similarity measurement of geographic characteristic parameter, the sample area is divided into multiple geological regions by condensation hierarchical clustering algorithm;In each region, the Mahalanobis distance between sample regions is calculated, and a secondary clustering is carried out using a density-based clustering algorithm to identify similar liquefaction mechanism sample clusters, and a prediction model coupled with a deep learning model and an optimization algorithm is established for each cluster to assess liquefaction risk, significantly improving the accuracy and robustness of sand earthquake liquefaction discrimination.

This application relates to the field of scanning probe microscopy, and discloses a sample support structure based on a Hellbeck array, comprising: a base, at least partially composed of a structure providing magnetic field confinement; and a sample holder, at least partially composed of a Hellbeck array. The sample holder and base are arranged in a first configuration, generating an attractive force between them. The magnetic field confinement structure restricts the spatial divergence of magnetic field lines, concentrating them at the interface region between the sample holder and the base, transforming them into a strong attractive force between them, thus achieving reliable fixation. Furthermore, the magnetically weakened side of the Hellbeck array shields the sample placement area, and combined with the concentrated confinement of magnetic field lines at the interface region, effectively suppresses magnetic field leakage into the sample area. This improves fixation efficiency, reduces magnetic field penetration interference with the sample and measurement, and enhances measurement accuracy. This application also discloses a scanning probe microscope.

The present application relates to nonferrous metallurgical analysis testing technical field, especially to a kind of copper-based ingot sample automatic inspection system.It includes: pneumatic sample feeding and opening unit, for taking out sample from sample area, and transmission to laboratory;Milling sample and analysis unit, for milling and detection of copper-based block material;Matching unit, the matching unit is connected with milling sample and analysis unit, for the transmission, circulation and equipment cleaning between each equipment when sample is automatically detected in laboratory;Background control unit, the background control unit calls and analyzes the data of each unit, automatic milling machine, visual detection device, direct-reading spectrometer, sample marking machine, sample filing device are sequentially arranged according to the detection order of copper-based, and are connected by conveying mechanism and each mechanical hand.The system can make the process of sample detection realize unmanned, automation, greatly reduce manpower investment, improve detection efficiency.

The application discloses a parameterized insurance trigger index construction method and system for lightning risk, and belongs to the field of machine learning and big data analysis. The method comprises the following steps: obtaining sample area sequence lightning data and preprocessing, and constructing a feature analysis database; calculating derived lightning characteristics, and obtaining screened derived lightning characteristics through feature engineering; respectively adopting principal component analysis, random forest method and linear regression to calculate the weight of each characteristic, and establishing an independent trigger index; comprehensively constructing a comprehensive lightning risk trigger index; and developing an index insurance product based on the comprehensive index, so as to realize objective and quantitative triggering of claims settlement. The application solves the problems of low efficiency and strong subjectivity caused by the dependence of traditional lightning insurance on artificial on-site investigation, realizes real-time quantitative evaluation and automatic claims settlement triggering of lightning risk, significantly improves the timeliness and fairness of insurance services, and reduces operation cost.

This invention discloses a rapid method for detecting the thickness of double-sided adhesive tape, belonging to the field of optical tape measurement technology. The method includes placing the double-sided adhesive tape to be tested flat on a testing platform, projecting a structured light pattern containing periodic bright and dark stripes onto the sample surface, acquiring images of the modulated and deformed light stripes from a position at a preset angle to the projection direction, extracting the stripe centerline data, and comparing its spatial position with the standard light stripe centerline data of a standard reference surface to generate a three-dimensional height point cloud map of the sample surface. The average surface height of the sample area and the substrate area are calculated separately, and the difference between the two is taken as the apparent total thickness of the tape. This method achieves non-contact detection of double-sided adhesive tape thickness through structured light modulation and three-dimensional height data comparison, accurately obtaining the apparent total thickness of the tape and adapting to the thickness detection needs of tape in a flat state.

This invention discloses a submicron-thickness waveplate based on niobium oxychloride and its polarization modulation measurement method, belonging to the field of polarization optics. The waveplate preparation method includes: cleaning and drying a silicon wafer; mechanically peeling off a bulk NbOCl2 sample using adhesive tape to form a thin NbOCl2 sample on the blue tape; attaching PDMS to the NbOCl2 sample area on the blue tape, then peeling it off to allow the NbOCl2 sample to adhere to the PDMS; attaching the PDMS with the NbOCl2 sample to the surface of the silicon wafer and heating it; and finally removing the PDMS to obtain the NbOCl2 waveplate on the silicon wafer. The obtained waveplate is subjected to polarization response testing and control analysis using a polarization modulation device, which can systematically obtain its modulation characteristics and phase delay behavior for different incident polarization directions. This invention's preparation method is simple to operate, has high device compatibility, good optical stability and scalability, and can be widely used in multifunctional photonic devices, photoelectric detection, polarization imaging, and on-chip integrated optical paths.

This application discloses a three-dimensional spatial PM2.5 concentration estimation method, device, medium, and product, relating to the field of atmospheric environmental monitoring. The method includes: stitching together haze images from multiple perspectives within a sample area to obtain a three-dimensional spatial sample image; the three-dimensional spatial sample image and the corresponding actual PM2.5 concentration value constitute a training sample; inputting multiple training samples into an improved VIT model for training to obtain a PM2.5 concentration prediction model; the improved VIT model includes a multi-scale image feature embedding module and a Transformer encoder module arranged sequentially; inputting the three-dimensional spatial sample image corresponding to the area to be detected into the PM2.5 concentration prediction model to obtain the corresponding estimated PM2.5 concentration value. This application can obtain accurate estimated PM2.5 concentration values.

A spectrometer (10) comprising an emitter (11) configured to emit electromagnetic radiation; a sample area (12) arranged at an outer surface (13) of the spectrometer (10); a modulation unit (14) comprising an electrochromic material; a filter (15); an optical detector (16); an integrated circuit (17) having a main extension plane and an optical path for electromagnetic radiation emitted by the emitter (11) via the sample area (12), the modulation unit (14) and the filter (15) towards the optical detector (16), wherein the electrochromic material is electrically connected with the integrated circuit (17) and the modulation unit (14) is configured to time-modulate the electromagnetic radiation. Furthermore, a method for detecting electromagnetic radiation is provided.

Disclosed are a method and apparatus for providing repeated exposure of a sample area to a charged particle beam (CPB) such that effective exposure is controlled to avoid or reduce sample damage caused by the CPB. [Solution] CPB images are acquired using pulsed exposures to a defined field of view (FOV) within the region of interest of the sample. Multiple exposures are performed at time intervals longer than the phonon lifetime to reduce sample damage induced by CPB exposure. The FOV can be defined to be spaced apart in order to control the effective radiation dose based on a combination of direct and evanescent exposures.

This invention discloses a neurosurgical clinical tumor specimen retrieval device, belonging to the field of medical device technology. It addresses the problems of low sampling accuracy, easy sample mixing, and difficulty in avoiding tissue heterogeneity in existing sampling methods. The device consists of a handheld component, a sampling component, a sample storage component, and an independent display. The sampling component is mounted at one end of the handheld component, and the sample storage component is located inside the handheld component. A miniature probe is integrated at the end of the sampling component and electrically connected to the independent display. The sampling component includes a universal adjustment component and a sampling tube component, enabling multi-angle adjustment and minimally invasive cutting of tumor tissue. The sample storage component adsorbs the sample through negative pressure, and an internal air bladder seals the sample area by area to prevent mixing. The independent display has a built-in AI-assisted module that can identify lesion tissue and mark recommended sampling points. This invention achieves precise multi-point sampling of tumor tissue, solves tissue heterogeneity issues, ensures detection accuracy, and is easy to operate, making it suitable for neurosurgical clinical tumor diagnosis and treatment.