36 results about "Quantitative measure" patented technology

The invention relates to a quantitative measurement system and method for mechanical properties of soft tissue and electronic equipment, and the system is characterized in that a pre-negative pressure cavity is in preset negative pressure, and a direct negative pressure cavity is in sealed contact with the measured soft tissue; the first control part loads and maintains target negative pressure to the direct negative pressure chamber according to a preset time sequence; the second control piece is used for releasing pressure and resetting the direct negative pressure chamber; the pressure acquisition part acquires the actual pressure in the cavity; the displacement acquisition part acquires the displacement of the tested soft tissue at the opening of the direct negative pressure chamber; the state detection piece detects the actual state between the direct negative pressure chamber and the detected soft tissue; the control part generates a control instruction and generates soft tissue mechanical property quantitative measurement data in combination with actual intracavity pressure and displacement. Therefore, the problems of high maintenance cost, strong operation dependence, poor repeatability, difficulty in programming scheduling of key test conditions, poor flexibility and configurability and the like caused by large volume of the gas circuit and the detection unit in the related technology are solved.

This invention discloses a shear force distribution demonstration device and measurement method, belonging to the field of structural engineering teaching technology. The device includes a base, a support mechanism, a loading mechanism, a demonstration mechanism, and a measurement mechanism. The support mechanism is a frame structure with sliding rails; the loading mechanism has replaceable supports with switchable constraints; the demonstration mechanism uses replaceable vertical columns with four-jaw chuck sleeves; and the measurement mechanism includes a strain measurement module, an S-shaped tension sensor, and a positioning ruler. This device adopts a fully modular, quick-release design, allowing for rapid switching between series and parallel systems, column constraint forms, and parameters. It simultaneously demonstrates the core knowledge points of inter-story force transmission in series and intra-story force distribution in parallel, verifying the shear force distribution law through measured data. This invention is easy to operate, combining visualization and quantitative measurement, effectively solving the pain points of abstract and difficult-to-understand traditional teaching methods, and significantly improving teaching effectiveness.

The invention belongs to the technical field of fan gear box defect detection, and relates to a fan gear box defect real-time detection and three-dimensional measurement method and a related device. Comprising the following steps: acquiring a left eye image frame and a right eye image frame in the fan gearbox in real time to form an image sequence; performing defect detection on the image sequence, identifying a defect region in the image sequence and determining a defect category to obtain a defect detection result including the defect region and category information; based on the left eye image frame and the right eye image frame, reconstructing a three-dimensional surface point cloud of the gearbox by adopting a binocular stereoscopic vision algorithm; extracting three-dimensional point cloud data corresponding to the defect area from the three-dimensional surface point cloud according to a defect detection result; and based on the three-dimensional point cloud data corresponding to the defect area, carrying out quantitative measurement on defect size parameters. According to the invention, automatic and intelligent identification and high-precision three-dimensional quantitative analysis of internal defects of the fan gearbox are realized.

This invention disclosed a full-space intelligent detection method and system for underground drainage networks, as well as storage media, including the following steps: image acquisition, intelligent image denoising, internal pipe defect segmentation, concealed defect detection around the pipe, 3D reconstruction with volume quantification, and pipeline life prediction. This invention introduced a bionic four-wheel-drive, all-terrain detection robot that can effectively navigate through mud and flowing water-challenges that hinder traditional detection devices. By leveraging deep learning algorithms as well as various techniques of computing vision, 3D reconstruction, and point cloud processing, the system thoroughly analyzed collected data to determine defect types and precise locations. Utilizing this analysis, precise location of different defect type and quantitative measurement of their dimensions can be realized. Based on the data analysis results, a deep-learning driven model was developed for predicting pipeline longevity to support maintenance staff with timely information on pipe defects and operational lifespan.

Systems and methods for determining wind speed are disclosed. The system includes a video capture device (e.g., a smartphone camera, a drone-mounted camera, or a satellite) to capture a video time-series of a pre-existing flexible object, such as natural vegetation, interacting with a wind flow. A processor is configured to analyze the video time-series to extract kinematic features of the object's motion and determine a quantitative wind speed. In one embodiment, a physics-informed neural network is used, which is trained to infer the object's mechanical properties (such as stiffness or species) from the video to solve for the wind speed. In another embodiment, a neural network is configured to receive a set of statistical feature maps, derived from the video's temporal signals, to determine the wind speed. In a further embodiment, the wind speed is determined by applying a first-principles physical formula based on the discovery that the fluctuating motion of individual leaves becomes decoupled from the branch structure at certain wind speeds, allowing for a quantitative measurement based on leaf size and measured leaf speed.

This invention relates to a trajectory recognition method based on distributed acoustic sensing, belonging to the field of vehicle trajectory recognition technology. The trajectory recognition method based on distributed acoustic sensing utilizes a distributed acoustic sensing system to achieve high-precision quantitative measurement of external mechanical disturbances by demodulating the phase change of Rayleigh backscattered light. Its unique feature lies in that the trajectory recognition method includes the following steps: Step 1, acquiring low SNR vibration signals collected by the DAS system within a unit acquisition time; Step 2, in VTR Net, employing the Global-Local Feature Collaborative Modeling Mechanism (GL-FCM) and the Multi-Resolution Attention Feature Map Recovery Architecture (AG-FMR); Step 3, using the CEH-FA model robustness enhancement method for vehicle trajectory recognition to identify and finally output the vehicle trajectory.

The application discloses a position calibration method and a position calibration device, and belongs to the technical field of equipment calibration. The position calibration method comprises the following steps: attaching a standard customized block to a target hole, wherein a center point is arranged on the surface of the side of the standard customized block away from the target hole, and the center point is located on the central axis of the target hole; controlling an electric wrench to move to the surface of the standard customized block and controlling the wrench head of the electric wrench to extrude the surface to obtain a position point extruded by the wrench head and the surface; the central axis of the electric wrench is perpendicular to the plane where the surface is located; and the position of the electric wrench is calibrated based on the position point and the center point. The position calibration method changes the qualitative judgment of the position offset condition into quantitative measurement, replaces the traditional eye observation, is more accurate in the debugging of the equipment with high precision requirements, and avoids the qualitative difference in individual debugging, and the quantitative measurement process is simple and convenient to operate.

1. Name of the product in this design: Blood glucose testing instrument. 2. Purpose of this design: This design is for patient self-use to perform in vitro quantitative measurement of blood glucose in peripheral blood. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

A wearable garment with sensors attached to obtain physiological data. The sensors are incorporated to form a body area sensor network to obtain the data. This provides patients with improved health monitoring by aggregating multiple interconnected nodes on a human body for sensorimotor measurements and provides patients with quantitative measurements of their progress. The data is obtained in a way that allows for the number of transmissions to be reduced thereby conserving the energy of the wearable devices. This is made possible by each sensor reducing the number of samples by eliminating predictable samples and configuring the sensors to pack the data efficiently. A neural network can determine whether a sample can be skipped or needs to be reported. A long short term memory architecture creates a waveform for a given snapshot of samples based on the previous samples regardless of whether these samples were reported or predicted.

The invention relates to the technical field of optical imaging, in particular to an endoscopic imaging device based on a forward probe, a medical host system and an imaging method.The endoscopic imaging device comprises a forward scanning probe, an in-vitro system, an excitation unit and a signal processing unit, receiving an optical signal carrying tissue scattering information; the in-vitro system is used for realizing light interference, converting an interference light signal into digital OCT original data, outputting a synchronous trigger signal to the excitation unit, collecting an OCT scattering signal in an elastic wave propagation process, converting the OCT scattering signal into an OCT complex value signal, and packaging the OCT complex value signal into an original data stream; and the signal processing unit performs phase extraction, displacement calculation or wave velocity estimation and the like on the original data stream, performs elastic inversion, and outputs tissue elastic information in all directions, so that the problems of limited imaging view field, insufficient lesion recognition sensitivity, limited clinical application, elastic quantitative measurement and the like in related technologies are solved, and the accuracy and the reliability of the system are improved. And the accuracy and the sensitivity of early lesion diagnosis are improved.

The invention discloses a combustion chamber flow field multi-parameter three-dimensional quantitative reconstruction method and device based on multi-source data fusion and PINN. Comprising the following steps: acquiring measurement data of a flow field in a combustion chamber and a three-dimensional luminous field structure of a flow field flame under the same space coordinate system by adopting a one-dimensional Raman scattering technology, a two-dimensional plane laser-induced fluorescence technology, a two-dimensional particle image velocity measurement technology and a three-dimensional chemical self-luminous chromatography technology respectively; combining time and space coordinates of the combustion chamber flow field to construct training data; constructing a combustion chamber flow field parameter reconstruction model based on a physical information neural network, and training the combustion chamber flow field parameter reconstruction model by adopting the training data to obtain a trained combustion chamber flow field parameter reconstruction model; and inputting the time and space coordinates of the combustion chamber flow field to be reconstructed into the trained combustion chamber flow field parameter reconstruction model to obtain corresponding flow field parameters and predicted values of luminous intensity, thereby solving the problem that the existing combustion chamber flow field multi-parameter three-dimensional quantitative measurement is difficult.

This application relates to a method and computer device for geometric measurement of defects in product appearance. The method involves inputting 3D point cloud data to be measured into a target semantic segmentation network and outputting point-by-point prediction results. The target semantic segmentation network includes an encoder and a decoder. The encoder performs multi-scale feature extraction on the 3D point cloud data. At each scale, the feature enhancement module in the encoder adaptively adjusts the neighborhood of the points based on the spatial distribution of the point set at the current scale, and aggregates local features based on the adjusted neighborhood to obtain enhanced features of the point set at the current scale. The decoder generates point-by-point prediction results based on the multi-scale enhanced features. Based on the point-by-point prediction results, the geometric parameters of the appearance defects are measured to obtain quantitative measurement results. This method solves the problem of insufficient performance of 2D visual inspection in detecting appearance defects in product appearance, and can completely and accurately characterize the spatial geometric morphology of defects, obtaining precise measurement results.

The invention provides a frequency spectrum data processing method and ultrasonic imaging equipment, and the method comprises the steps: setting a plurality of sampling gates at different positions on the same target blood vessel in a blood flow image, and obtaining the frequency spectrum data corresponding to each sampling gate; performing quantitative measurement on the frequency spectrum data corresponding to the at least two sampling gates to obtain a parameter value of at least one type of frequency spectrum quantitative parameter corresponding to each sampling gate in the at least two sampling gates; and determining a target parameter according to the parameter value of the same type of frequency spectrum quantitative parameter corresponding to each sampling gate in the at least two sampling gates at the same time. According to the scheme, the target parameter is determined according to the parameter values of the same type of frequency spectrum quantitative parameters corresponding to the at least two sampling gates at different positions on the same target blood vessel in the blood flow image at the same time, and the hemodynamic change conditions of the blood flow of the target area at different positions of the same target blood vessel are provided through the target parameter. Therefore, more diversified and valuable information is provided for clinical diagnosis.

The invention discloses a rapid quantitative sample introduction device and method in an electronic nose air chamber, VOC quantitative measurement is completed outside the electronic nose air chamber, the measured VOC is sealed in one or more sample introduction cabins, the sample introduction cabins are placed in the electronic nose air chamber, when sample introduction is needed, an opening command is sent out from the outside of the electronic nose air chamber, and when sample introduction is needed, the electronic nose air chamber is opened. The starting task of the sample introduction device is completed through the execution mechanism, so that VOC can be volatilized into the electronic nose gas chamber on the premise that the sealing performance of the electronic nose gas chamber is not damaged. The sampling device with high sealing performance is designed, and the high-precision VOC measuring device is used in cooperation, so that the precision of the VOC sampling amount is guaranteed.

The present disclosure relates to a near-field electric field quantitative measurement method and device, electronic equipment and storage medium. The method comprises: obtaining a first linear relationship between a first incident electric field and a first near-field electric field; obtaining an instrument constant of a scanning near-field optical microscope; obtaining a first linear coefficient of any to-be-measured point on a to-be-measured sample according to the instrument constant and the first linear relationship; obtaining a reconstructed near-field electric field of the to-be-measured point under an actual incident electric field incident to the to-be-measured sample as a near-field electric field quantitative measurement result of the to-be-measured point according to the actual incident electric field and the first linear coefficient of the to-be-measured point. The process combines the first linear relationship reflecting the incident electric field and the near-field electric field relationship of the first measurement area of the to-be-measured sample with the instrument constant reflecting the influence of the tip-sample coupling on the near-field electric field of the surface of the to-be-measured sample, realizes the reconstruction of the near-field electric field of the surface of the to-be-measured sample, and improves the accuracy of the quantitative measurement of the near-field electric field of the surface of the to-be-measured sample.

Stress scores from physiological monitors provide a local, objective, quantitative measure of stress in a numerical format that can be used as a basis for real-time coaching, decision making, and the like.

This invention provides a method and system for performance measurement under isolated task and environmental conditions, belonging to the field of human factors engineering and performance evaluation technology. The system includes: an environmental simulation and control module, a team task simulation module with an integrated visual task editor, a multimodal data synchronous acquisition module, a performance calculation engine, a real-time monitoring and intervention module, and a data playback and analysis module. This invention deeply couples customizable complex team tasks into a high-fidelity simulated isolated and confined environment, and synchronously collects multi-dimensional process data such as operational behavior, team interaction, physiological signals, and environmental states. This achieves comprehensive, refined, and multi-dimensional quantitative measurement and evaluation of team and individual operational effectiveness under long-distance voyages and isolated and confined environments, overcoming the shortcomings of existing technologies that only focus on task results and ignore process performance and environmental coupling.

The application discloses a bridge apparent damage binocular vision intelligent detection method and system fusing deep learning, and comprises the following steps: constructing a training data set of each bridge part, bridge component and damage category respectively; based on an improved VGG16 model, constructing a part recognition model, a component recognition model and a damage recognition model respectively to obtain a three-layer pre-classification model; based on an improved encoder-decoder FCN model, constructing a pixel-level detection model of each damage category; then, training the multi-layer pre-classification model and the pixel-level detection model by using corresponding training data sets respectively, performing online image detection, and obtaining the damage number, shape contour and inclination direction of the pre-classified bridge apparent image; based on the center projection model of binocular stereo vision, performing three-dimensional reconstruction and quantitative measurement on the image shape contour of the damage to obtain the damage size. The application can output comprehensive apparent damage information such as position, category and size, and provide an objective basis for the service bridge apparent state evaluation.

The invention provides a multi-field coupling simulation test system, and relates to the technical field of test simulation equipment, the multi-field coupling simulation test system comprises a three-axis heat exchange simulation module and a PET-CT imaging module, the three-axis heat exchange simulation module comprises a three-axis heat exchange simulation test cabin and a control and data synchronous analysis platform, the triaxial heat exchange simulation test cabin is used for applying confining pressure and temperature to a test sample and synchronously monitoring a temperature field and a stress field; the control and data synchronous analysis platform is used for realizing dynamic quantitative measurement; and the PET-CT imaging module is used for injecting the heat exchange working medium containing the radioactive tracer into the test sample and monitoring and reconstructing a fluid space distribution three-dimensional diagram in the test sample in real time. According to the invention, centralized control and data integration can be carried out on the triaxial heat exchange simulation module and the PET-CT imaging module, consistency monitoring and dynamic analysis of thermal, fluid and solid physical fields on time and space scales are realized, and a brand new test means is provided for revealing a multi-field interaction mechanism in a hot dry rock geothermal development process.

The invention discloses a high-time-resolution wide-energy-region X-ray spectrum quantitative measurement system and method. The high-time-resolution wide-energy-region X-ray spectrum quantitative measurement system and method have the beneficial effects that quantitative diagnosis of wide-energy-region (0.2 keV-5. 0keV) and high-time-resolution (lt, 40ps) X spectrum is realized by combining a height pair transmission type grating (TG), an X-ray streak camera (XSC) and a flat response radiation flow detector (FXRD), and the time resolution of the system is superior to that of an existing soft X-ray energy spectrometer (-200ps). Compared with an existing time-resolved transmission grating spectrometer, the system realizes quantitative measurement of the wide-energy-region X-ray spectrum intensity evolution process.

The invention provides a traditional Chinese medicine decoction piece quality detection and quantitative measurement method and system based on a multi-modal large model and multi-task learning, and relates to the technical field of traditional Chinese medicine decoction piece detection. The method comprises the following steps: firstly, extracting semantic quality standards and feature descriptions from related traditional Chinese medicine identification books, standards and maps by utilizing a knowledge retrieval enhancement generation technology; secondly, a multi-task learning backbone network based on a hard parameter sharing mechanism is constructed, and efficient extraction and cross-task collaboration of image features are achieved; thirdly, dynamic prompts are generated according to the extracted semantic features in combination with a low-rank adaptive fine-tuning SAM 3 model, pixel-level segmentation and quantitative measurement are conducted on the fine biological features of the traditional Chinese medicine decoction pieces, and finally logical reasoning is conducted through visual question and answer agency of a multi-mode large model in combination with quantitative data and a standard threshold value to judge the grade of the traditional Chinese medicine decoction pieces. According to the method, the crossing from qualitative experience identification to quantitative intelligent analysis is realized, and the accuracy and interpretability of industrial quality inspection of the traditional Chinese medicine decoction pieces are improved.

Rather than merely provide a quantitative measurement of tissue characteristic or biomarker, a report is generated with reference information in quantitative ultrasound (QUS) imaging. A processor adds information from a publication, study, or guideline to the report so that the patient measurement is provided with context for diagnosis. The publication, study, or guideline may be updated and / or provided for user selection to use in reporting. The doctor is provided with reference information in a way not previously done.

The utility model discloses a feeding error compensation device of an injection molding machine, which comprises a mixing drum, a plurality of feed ports are circularly distributed at the upper end of the mixing drum at equal intervals in a penetrating manner, a plurality of measuring cylinders are circularly distributed on the upper surface of a fixing ring at equal intervals and are fixedly connected with the upper surface of the fixing ring, and a driving mechanism for driving a rotating ring to rotate is arranged at the upper end of the rotating ring. One end of each connecting rod is hinged to a connecting frame, and each connecting frame is provided with a shielding mechanism used for shielding the lower end of the measuring cylinder; according to the utility model, when the blanking amount of one or more materials is found to have errors after the feeding is finished, the materials with missing errors can be directly and conveniently subjected to additional feeding and quantitative measurement through the measuring cylinder, so that the materials with missing errors can be conveniently subjected to compensatory feeding; the defect that in the prior art, quantitative measurement on materials with missing errors is not convenient, and error compensation feeding is not convenient is overcome.

This invention belongs to the field of power equipment fault diagnosis technology, specifically relating to a multi-condition simulated ablation test platform and method for switch contacts. The test platform includes a multi-load switching unit, a gradient current generation module, a synchronous acquisition module, an environmental control module, and a central control unit. The central control unit incorporates a wide-range environment adaptation algorithm, compensating for environmental errors through temperature and humidity correction formulas, and introducing weighting factors to correct arc energy for different load types, thus improving the simulation accuracy of contact ablation under wide-range environmental stress and load changes. The synchronous acquisition module, combined with the environmental control module, achieves simultaneous acquisition of four-dimensional characteristic data: dynamic resistance, ablation morphology, arc energy, and environmental parameters. This transforms the ablation process from qualitative observation to quantitative measurement, providing solid microscopic data support for in-depth exploration of the ablation mechanism and the establishment of accurate physical models.

A three-dimensional position positioning method based on visual recognition and multivariate measurement fusion belongs to the technical field of electric digital data processing and multi-sensor data fusion. The method constructs a unified motion state model, cooperatively fuses the environment structure information obtained by visual recognition and the quantitative measurement information of multi-source sensors, and introduces a physical consistency constraint mechanism to dynamically evaluate and adaptively adjust the credibility of different information sources, so that continuous, stable and high-precision three-dimensional position estimation can be realized in the case of unstable absolute positioning information, shielding or measurement anomaly. The present application can effectively suppress the interference of abnormal measurement on the positioning result, improve the positioning robustness and reliability of the system in complex terrain, slope and urban structure environment, and is suitable for technical fields such as intelligent vehicles and mobile robots.

The invention provides an underground soil liquefaction monitoring test device based on air pressure and non-Newtonian fluid, a first piston plate and a second piston plate which are distributed at an interval are arranged in a shell, and a displacement sensor is arranged between the first piston plate and the second piston plate; one end of the dowel bar is fixed in the middle of the first piston plate, the other end of the dowel bar penetrates through the second piston plate and then is connected with the porous damping plate, and the porous damping plate is slidably assembled in the shell and forms a non-Newtonian fluid cavity with the second piston plate; an air pressure cavity is arranged to simulate the pore pressure rising process, non-Newtonian fluid is adopted to simulate the shear thinning and weakening behavior, and controllable loading, quantitative measurement and repeated testing of the liquefaction behavior are achieved through an air pressure-piston-non-Newtonian fluid-porous damping plate coupling transmission mechanism. And rheological indexes in the liquefaction process can be monitored in real time under disturbance conditions of vibration, impact, cyclic shearing and the like.

The invention relates to the technical field of science popularization teaching aids, and discloses a greenhouse effect quantitative science popularization device based on multi-sphere concentration gradient. The device comprises a sphere array unit, a sensing and display unit, a control and recording unit, a power supply unit and a supporting system, the sphere array unit is composed of at least three transparent sealing spheres side by side, greenhouse gases with different concentrations are filled in the spheres to form a concentration gradient series, a temperature and illuminance sensor is arranged in each sphere, an integrated display screen is arranged on the outer side of each sphere, and a master control circuit in the base is connected with all the sensors. And data can be continuously recorded and a temperature-time change curve of each sphere can be drawn. According to the invention, by constructing the concentration gradient, real-time quantitative measurement and process data visualization, the positive correlation between the greenhouse gas concentration and the temperature rise effect is displayed in a visual and scientific manner, the problems of single comparison and lack of quantitative data support of the existing science popularization means are solved, and the science popularization demonstration effect and the teaching value are significantly improved.

A sample analysis device includes an acquirer that acquires quantitative measurement information (measurement data) of a plurality of substances including a test substance present in a sample, an estimator that retrieves a reaction model stored in a storage device, models the test substance using the reaction model and provides the quantitative measurement information (measurement data) of the plurality of substances to the reaction model of the test substance to estimate a parameter of the reaction model, and a calculator that calculates quantitative estimation information of the test substance in any period of time or information in regard to a period of time until quantitative estimation information of the test substance reaches a predetermined threshold value, based on the parameter estimated by the estimator.

The invention belongs to the biomedical field and the optical field, and particularly discloses a 5-aminolevulinic acid fluorescence quantification method based on spectrum calibration and mapping, and the method mainly comprises the steps: building a mapping model between an optical sensor RGB space and a multispectral space through a data-driven multispectral reconstruction mode; firstly, a plurality of fluorescence reference standard substances are used as fluorescence standards; the calibration system based on the 5-aminolevulinic acid induced glioma fluorescence acquisition system establishes a mapping model between an RGB response matrix and a spectral emission matrix of a plurality of fluorescence reference standards so as to complete calibration and calibration of the 5-aminolevulinic acid induced glioma fluorescence acquisition system. And then, based on the calibrated 5-aminolevulinic acid induced glioma fluorescence acquisition system, reconstructing the acquired pixel-level fluorescence image to obtain a fluorescence spectrum curve of each pixel on the fluorescence image, thereby realizing wide-view imaging and quantitative measurement of the 5-aminolevulinic acid induced glioma fluorescence spectrum.