13 results about "Abnormal structure" patented technology

The application discloses a kind of chip defect detection method, device and terminal equipment, comprising: based on the state distribution information of chip acquisition chip based on the running data of chip, and based on the state distribution information obtains the abnormal running state of chip, abnormal running program and associated abnormal structure;Based on the three-dimensional temperature distribution map of chip is constructed based on the temperature data of chip, determines temperature abnormal structure based on the three-dimensional temperature distribution map;Based on the associated abnormal structure and temperature abnormal structure predict the target abnormal structure of chip and abnormal information, generate defect detection result.Through running information, temperature data and so on multiple angle analysis each chip target abnormal structure, and the abnormal information of target abnormal structure, the comprehensiveness of each abnormal structure of chip is identified to improve the abnormal information of each abnormal structure, to comprehensively improve the efficiency of chip defect detection.

The invention belongs to the technical field of anomaly recognition, and particularly relates to a method for recognizing an abnormal structure in an iron ore exploration process based on three-dimensional laser surveying and mapping, which comprises the following steps of: acquiring three-dimensional point cloud data of the earth surface of a mining area by using three-dimensional laser surveying and mapping equipment, constructing a structured point cloud data set, and constructing an abnormal structure in an iron ore exploration process based on the constructed structured point cloud data set; constructing a point cloud space graph structure, and determining an abnormal structure candidate region in the iron ore exploration process according to the constructed point cloud space graph structure; and dividing the abnormal structure candidate region into a plurality of sub-regions by using a sub-region division mechanism, and determining an abnormal structure in the iron ore exploration process through a conjoint analysis mechanism for abnormal data nodes in the sub-regions, according to the method, the abnormal structure region merging technology based on the spatial connectivity and the topological relation is adopted, and spatial continuity analysis processing is performed on the abnormal region, so that the finally determined abnormal structure region has good integrity in space.

Disclosed herein is a computer implemented method of medical imaging, the method comprising: receiving (200) an acquired medical image (130) descriptive of an internal anatomy of a subject (402); receiving (202) a selection of a region of interest (132) of the acquired medical image containing an abnormal anatomical structure (404); generating (204) an ensemble (140) of generated medical images (134, 136, 138) using one or more generative inpainting models (122, 124, 126) to replace the region of interest, wherein the one or more generative inpainting models comprises a normal anatomy generative model configured for generating normal anatomical structures in the region of interest, wherein the ensemble of generative medical images comprises an artificial abnormal structure free image generated using the normal anatomy generative model; and displaying (206) two or more images selected from the acquired medical image and the ensemble of generated medical images.

The invention discloses a temporomandibular joint structure anomaly detection method and system and terminal equipment, and belongs to the technical field of image recognition, and the method comprises the steps: marking a temporomandibular joint region in an oral panoramic film of a target patient through a positioning frame, and obtaining a marked image; correcting the annotated image according to a condylar process structure in the annotated image to obtain a condylar process region image; detecting the image quality of the condylar process area image, and marking an available label or an unavailable label on the condylar process area image according to a detection result; and according to a preset joint structure detection model, carrying out structure detection on the condyle process region image corresponding to the available label, and outputting an abnormal structure detection result. Therefore, by implementing the application, the problem existing in the prior art can be solved, that is, when the temporal-mandibular joint of the patient is detected by using the two-dimensional panoramic film, the abnormal condition of the temporal-mandibular joint is difficult to accurately recognize by the image, so that the detection accuracy is not high.

The invention discloses a performance testing method and system for a deep well drill rod, and relates to the field of deep well drilling. The method is applied to a drill rod performance testing system, and comprises the following steps: performing frequency sweeping treatment on a drill rod to be detected by adopting multi-frequency coupling excitation, and detecting to obtain multi-waveform data of the drill rod to be detected; based on the multi-waveform data, calculating to obtain performance evaluation indexes of a plurality of structural points of the to-be-detected drill rod; performing anomaly evaluation on the performance evaluation indexes of the plurality of structural points by adopting a preset temperature-performance evaluation index reference table, and determining a plurality of abnormal structural points and abnormal modes of the plurality of abnormal structural points; determining defect information of the plurality of abnormal structure points according to the abnormal modes of the plurality of abnormal structure points; and according to the defect information of the plurality of abnormal structure points, evaluating to obtain the performance grade of the to-be-detected drill rod. By implementing the technical scheme provided by the invention, the problem of low detection precision caused by the influence of temperature on the performance detection of the drill rod at present is solved.

The invention belongs to the technical field of cultural relic safety early warning, and particularly relates to a cultural relic safety early warning method, system and equipment based on a holographic analysis model and a medium, and the method comprises the steps: analyzing historical literatures and repair records, and extracting cultural relic components, damage types and environmental factor entities; constructing a dynamic knowledge graph, calculating the risk level of the cultural relic component entity and generating a check list; carrying out image acquisition based on the check list, and carrying out environment adaptive preprocessing and geometric registration on the acquired image to obtain a registered image; performing multi-scale feature extraction on the registration image and the historical reference image, and identifying structural abnormality; carrying out damage evolution score calculation on the abnormal structure, outputting a grading early warning result, and carrying out geometric parameter quantitative analysis on the abnormal structure; integrating the risk level, the grading early warning result, the geometric parameter quantification result and the positioning data, generating a repair decision report through a rule engine, and feeding back and updating the report. The accuracy of cultural relic safety early warning is effectively improved.

The invention relates to the technical field of flange sound wave data anomaly detection, in particular to a flange production quality nondestructive testing method and system based on ultrasonic flaw detection and a storage medium. Performing ultrasonic detection on the maximum surface of the flange, acquiring waveform data of each position and performing wave band division; on the basis of a reference position waveform, calculating an abnormal degree by combining the number of wavebands in a neighborhood and waveform change difference, and preliminarily identifying a suspected defect position; and further screening by integrating side edge detection results, and determining a defect part according to an abnormal structure coefficient to realize quality evaluation. According to the invention, the defect position in the flange can be accurately found, so that a relatively accurate flange quality detection result is obtained.

The present application relates to the technical field of flange acoustic wave data anomaly detection, and particularly relates to a flange production quality nondestructive detection method and system based on ultrasonic flaw detection and a storage medium. The maximum surface of the flange is subjected to ultrasonic detection, waveform data at each position is obtained, and wave band division is performed; based on reference position waveform, the abnormality degree is calculated in combination with the number of wave bands and the waveform change difference in the neighborhood, and the suspected defect position is preliminarily identified; the side edge detection result is comprehensively filtered, the defect position is determined according to the abnormal structure coefficient, and quality evaluation is realized. The present application can accurately find the defect position in the flange, so that a relatively accurate flange quality detection result is obtained.

Disclosed herein are a repair apparatus, system, and method for structurally reinforcing an abnormal composite structural member. The repair is suited for reinforcing a cured composite structure that defines a strength tolerance and has an abnormality that reduces the structural strength relative to the strength tolerance of the cured composite. The structural reinforcement repairs the abnormality in the cured composite and provides the repair strength so that the repaired composite has a structural strength that meets or exceeds the strength tolerance. The structural reinforcement has a composite patch that is coupled to the cured composite over the abnormality and is covered by pressure-sensitive tape.

This application provides a chip failure analysis method, system, and electronic device. The method includes: obtaining first data and second data of an abnormal chip; the first data characterizing the electrical abnormality features of the abnormal chip; the second data characterizing the three-dimensional structure of the abnormal chip; determining the failure region distribution based on the first and second data; the failure region distribution characterizing the probability region distribution of abnormal points within the abnormal chip; the abnormal point being the location of a physical defect in the three-dimensional structure that causes the electrical abnormality features; obtaining a first image of the abnormal chip; the first image being a three-dimensional image; and determining the abnormal structure involved in the abnormal points in the abnormal chip through failure analysis based on the failure region distribution and the first image.

The application relates to a method and device for generating a dominant seismic data volume for abnormal structures, taking abnormal structures as a starting point, identifying dominant directions and effective offset distances of five-dimensional gathers corresponding to CMP surface units in the abnormal structures and common azimuth stacking data volumes thereof, generating a dominant data volume by adopting reasonable azimuths and offset distances for dominant gather stacking, and performing fine abnormal structure interpretation on the basis; the application makes up for the problem of insufficient abnormal structure identification of full-azimuth and azimuth angle regular division seismic data in OVT technology, and makes the description of abnormal structures more fine.

The invention discloses a rail soft wheel multi-sensor health detection method and system, and relates to the technical field of wheel detection. Comprising the following steps of S1, collecting wheel diameter distance, surface appearance, ultrasonic echo and operation condition information of a wheel in real time, and performing preprocessing; s2, extracting penetration attenuation characteristics reflecting the internal propagation characteristics of the material, and forming robust attenuation characterization; s3, ultrasonic echo reflection characteristics and spectrum structure stability are analyzed, internal abnormal structure attributes are comprehensively evaluated, and abnormal response types and spatial distribution states thereof are judged; and S4, analyzing a surface degradation trend and an internal evolution behavior to carry out life constraint evaluation, and outputting maintenance early warning and safety decision guidance. The problems that traditional ultrasonic detection is difficult to distinguish structural cracks from non-structural internal defects, early crack evolution criteria are unstable, and health assessment misjudgment and maintenance decision inaccuracy are caused are solved.

Disclosed herein are a repair apparatus, system, and method for structurally reinforcing an abnormal composite structural member. The repair is suited for reinforcing a cured composite structure that defines a strength tolerance and has an abnormality that reduces the structural strength relative to the strength tolerance of the cured composite. The structural reinforcement repairs the abnormality in the cured composite and provides the repair strength so that the repaired composite has a structural strength that meets or exceeds the strength tolerance. The structural reinforcement has a composite patch that is coupled to the cured composite over the abnormality and is covered by pressure-sensitive tape.