15 results about "Volume analysis" patented technology

Methods, systems, and computer storage media for providing entity-specific data analysis using an entity-specific data analysis engine in a data intelligence system are described. The entity-specific data analysis engine can be an LM-based system that supports generating and communicating entity-specific data analysis output. In operation, a dataset associated with an entity is accessed. A bidirectional volumetric analysis output is generated based on executing a plurality of bidirectional volumetric analysis operations against the dataset. A plurality of probe questions and a plurality of data analysis axes associated with a focus area are generated for analyzing the bidirectional volumetric analysis output. Using the bidirectional volumetric analysis output, the plurality of probe questions, and the plurality of data analysis axes, an entity-specific data analysis output is generated, based in part on identifying false positive trends in the dataset and defining rules to filter out the false positives from the entity-specific data analysis output.

The invention belongs to the technical field of container measurement, and discloses a container capacity measurement method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining an outer wall point cloud of a to-be-measured container, and calculating an outer wall height-volume relation curve of the to-be-measured container based on the outer wall point cloud through a slice volume analysis method, calculating matching loss values of the outer wall height-volume relation curve and outer wall height-volume curves of all containers in a preset database, and according to a sequence from small to large, extracting inner wall height-volume relation curves of the containers corresponding to a plurality of matching loss values of a preset ranking number before ranking as a candidate relation curve set, through a PCA dimension reduction method and a K-means clustering algorithm, selecting an inner wall height-capacity relation curve with the minimum outlier distance from the candidate relation curve set as a height-capacity relation curve of the to-be-measured container, and determining to obtain a container capacity measurement result of the to-be-measured container; by means of the method, the measuring efficiency of the container capacity is improved.

The application provides a chip cooperative stable operation method and system based on environmental factors, obtains factor data of a current environment, operation information of each chip in the current environment, factor data of a preset normal environment, and historical operation information of each chip in the preset normal environment, obtains operation difference information, operation abnormal information of each chip, target interference factors of each chip, and current processing data of each chip, screens abnormal reasons of each chip, performs abnormal function identification and data volume analysis on each chip, generates corresponding processing data cooperation strategies, and completes a data processing task of current processing data of each chip. The application solves the problem that a method for ensuring stable operation of chips in the prior art is limited by the distance between chips, the environment where the chips are located, and the current working state of the chips, and leads to poor reliability of stable operation of the chips in an abnormal environment. The application avoids the influence of the stable operation of the chips in an abnormal environment, and improves the reliability of the stable operation of the chips.

The application discloses a kind of dangerous chemical storage tank risk monitoring method and device, based on external monitoring unit, storage tank geometry data analysis module and storage tank structure deformation applicability evaluation module;The external monitoring unit includes: three-dimensional laser scanning unit, for scanning the surface of the measured storage tank and the scanning volume mark unit group, obtain the storage tank monitoring data of the surface of the measured storage tank and the volume monitoring data of the scanning volume mark unit in the scanning volume mark unit group;Data processing unit is used to generate the geometric deformation index data of the measured storage tank according to three-dimensional laser scanning unit measurement data;The storage tank geometry data analysis module is used to carry out three-dimensional space modeling to storage tank monitoring data file under unified coordinate system, and to storage tank structure deformation key index volume analysis calculation;The storage tank structure deformation applicability evaluation module is used to determine whether storage tank meets safety operation requirement according to tank body geometric deformation index data and safety threshold condition.

Described are machine learning platforms for performing three-dimensional volumetric analysis on acoustic neuromas such as vestibular schwannoma. The machine learning platforms contain a machine learning algorithm operably linked to a computer processor. The algorithm is configured to process data originating from medical images from magnetic resonance imaging. Processing the data involves three-dimensional volumetric analysis, utilizing a voxel size of about 0.8x0.8x0.9 mm or smaller, by the algorithm trained using image scans containing raw image scans and validated image scans. The data show that platforms containing a machine learning algorithm described herein not only speed up the segmentation process (less than 4 minutes per scan) but also offer improved depictions and measurements of tumor growth. This can enhance clinical decision-making, provide consistent monitoring of diseased tissue progression / regression (e.g., tumor progression / regression), and empower patients with detailed insights into their condition, thus facilitating better self-advocacy and treatment planning.

The invention provides a pipeline abrasion volume analysis method and device, electronic equipment and a storage medium, and relates to the field of structural mechanics analysis of nuclear power plant. A pipeline is arranged in a hole site in a penetrating mode, the hole site is provided with a rectangular limiting block, and the rectangular limiting block comprises a contact surface making contact with the pipeline; the pipeline abrasion volume analysis method comprises the steps that first structure parameters of a pipeline, second structure parameters of a contact face and the inclination angle between the axial direction of the pipeline and the contact face are obtained, the first structure parameters comprise outer diameter data and thickness data of the pipeline, and the second structure parameters comprise length data and width data of the contact face; the actual wear depth of the pipeline is obtained, and the wear stage of the pipeline is determined based on the actual wear depth of the pipeline and a plurality of pre-configured critical wear depths; and determining the theoretical wear volume of the pipeline based on the wear stage, the first structure parameter, the second structure parameter and the inclination angle.

To make it possible to estimate a user's morbidity risk with a high degree of accuracy from information of data communication used by the user using a data communication volume analysis system.SOLUTION: A data communication volume analysis system includes: communication volume measuring means that measures the data communication volume of an information terminal used by a user; information processing means that processes the data communication volume of the information terminal measured by the communication volume measuring means by separating it into information of data communication volume received by the user and information of data communication volume transmitted by the user, and estimates the user's disease risk; and an output screen that displays information on the disease risk estimated by the information processing means.SELECTED DRAWING: Figure 1

The invention relates to the field of aviation encasement matching optimization, in particular to an aviation encasement matching optimization method based on dynamic cargo quantity analysis. The method comprises the following steps: acquiring dynamic demand data of an aviation shipping space in real time, acquiring physical attributes of a package, and calculating the residual actual weight of a shipping space interval and the residual standard weight upper limit of the shipping space interval; based on the physical attributes of the packages, combining with the upper limit of the residual standard weight of the shipping space interval, introducing a dynamic priority matching and self-adaptive new box opening distribution algorithm, determining an optimal box filling strategy for the currently processed single package in real time, obtaining a recommended delivery box, carrying out box filling verification, and after the verification is passed, sending the recommended delivery box to the server. And establishing an association relationship between the current package and the recommended delivery box. The technical problems that a traditional aviation boxing matching technology depends on artificial experience, the utilization rate of aviation shipping space resources is low, a full-process controllable and traceable mechanism is lacked in the boxing process, and the real-time change requirement of the aviation shipping space cannot be dynamically responded are solved.

The invention discloses a belt volume analysis method and device based on image recognition, and the method comprises the steps: marking two labels, namely a coal label and a belt label, in an image collected by a coal flow belt video through a marking tool; training the marked image by adopting an instance segmentation algorithm to obtain an instance segmentation model for identifying the coal flow; marking a line segment on an image acquired by a coal flow belt video, calculating a pixel length and a real physical length of the line segment, determining a unit pixel length, carrying out perspective restoration on the belt, calculating a zoom ratio at a longitudinal pixel, and obtaining a coal flow width; and performing instance segmentation on the video frame through the instance segmentation model, calculating the mass of the coal in unit time by combining the frame time difference according to the measured average coal density, the estimated coal flow speed and the estimated coal flow sectional area, and performing accumulation to obtain the preset granularity coal quantity. According to the invention, non-contact traffic volume estimation is realized through image recognition, artificial counterfeiting is avoided, and the data accuracy is improved.

This application relates to the field of optical motion capture system technology, and discloses a method, system, and device for human reachability analysis based on optical motion capture. The method includes: acquiring real-time motion trajectory data of human body points; preprocessing the real-time motion trajectory data in the scene where the target 3D model is located to obtain preprocessed point cloud data; fitting the point cloud data into one or more envelopes using a fitting algorithm; fitting the one or more envelopes into a single overall envelope and calculating the features of the overall envelope; generating multiple sets of two-dimensional envelope curves by sectioning based on the overall envelope and its features, and calculating the positional features between the overall envelope and the target 3D model; and visually storing the overall envelope features, the multiple sets of two-dimensional envelope curves, and the positional features. This application can objectively, accurately, and efficiently measure the range of motion or extension of a certain part of the human body in three-dimensional space.

A chromatogram analysis apparatus comprises a system information storage unit configured to store a system volume, which is a volume of piping through which a sample of a fluid chromatograph passes; an analysis information storage unit configured to store a chromatogram acquired by an analysis performed by the fluid chromatograph, flow rate information regarding a flow rate of a mobile phase during the analysis, and composition information regarding a composition of the mobile phase in each time period during the analysis; a time calculation unit configured to calculate a mobile phase arrival time, which is a time required for a mobile phase delivered from a liquid sending unit of the fluid chromatograph to reach a detector, and a sample arrival time, which is a time required for a sample injected into the mobile phase to reach the detector, based on the system information, the flow rate information, and the composition information; an analysis range determination unit configured to determine a target range for peak analysis on the chromatogram based on the mobile phase arrival time and the sample arrival time, such that a composition-derived peak, which is a peak caused by a rapid change in the composition of the mobile phase, and an injection-derived peak, which is a peak caused by the injection of the sample into the mobile phase, are excluded from the analysis target; and a peak analysis unit configured to execute the peak analysis within the analysis range determined by the analysis range determination unit.

A system is configured to perform actions including obtaining a first 3D medical image from a first medical imaging volume acquisition and obtaining a second 3D medical image from a second medical imaging volume acquisition, where the first medical imaging volume acquisition and the second medical imaging volume acquisition are integrally registered with each other. The actions include: receiving a selection of a region of interest in the second 3D medical image; and performing gradient domain fusion with blending of respective pixel intensities between the selected region of interest in the second 3D medical image and a region corresponding to the region of interest in the first 3D medical image to generate a blended region of interest. The actions include displaying the first 3D medical image in a first viewport on a user interface and displaying the blended region of interest in a second viewport located at the region in the first 3D medical image.

The application discloses a kind of port data tracing method, system and related equipment, it is related to port transportation field, solve the problem that existing port data tracing method has not good effect of tracing, including steps S1: data segment access volume analysis is carried out to the port data of target freight port in port data history storage period for SSD storage, obtains historical data volume mark queue according to analysis result, obtains port history analysis data, step S2: data volume analysis is carried out to the real-time data to be stored generated in port data real-time acquisition period of target freight port, and according to analysis result, the real-time data to be stored is stored, and port storage data is obtained, step S3: screening is carried out to the freight main body corresponding to port storage data, according to screening result, freight main body is verified to tracing information, and according to verification result, tracing early warning is carried out, the accuracy and integrity of the present application can be improved port data tracing method.

The invention discloses an AI intelligent body measurement analysis system, and relates to the technical field of AI intelligent body measurement analysis. The system comprises a self-adaptive standardization module, a self-adaptive layout solving module, an edge and ground color unification module, a unified export and protocol module, a step-level trace reserving module, a layered fault-tolerant and quality gating module and a performance and resource optimization module. And the self-adaptive normalization module is used for executing safety margin setting and alpha channel unification processing on the multi-source heterogeneous body measurement image materials. According to the invention, through the cooperation of adaptive standardization, adaptive layout solving and edge and ground color unification modules, safe margin control, precise scaling and regular layout can be carried out on the multi-source heterogeneous body measurement image, the problems of image truncation, black edges and alignment dislocation are effectively avoided, the output consistency and definition of the body measurement image are ensured, and the quality of the multi-source heterogeneous body measurement image is improved. A high-quality image basis is provided for the AI model to accurately identify the body measurement mark, the body measurement data error is greatly reduced, and the high-precision body measurement scene requirement is met.

The file volume processing method, device and server provided by the present disclosure relate to Internet technology, and include the following steps: obtaining and packing static resources of a WEB page according to a packing instruction, generating static resource information, and saving the static resource information in a preset storage space; if it is determined that the packing of the static resources of the WEB page is not the first time, obtaining first and second static resource information from the preset storage space according to a file extension participating in volume change analysis, a file extension not participating in volume change analysis and a file name not participating in volume analysis; and determining volume changes of static resource files in the first static resource information according to the first and second static resource information, so as to eliminate when it is determined that the file volume is too large based on the volume changes. The present scheme can automatically compare the file volumes of the static resources packed this time and last time and display the comparison result, which is efficient and less likely to make mistakes.