4 results about "Correlation method" patented technology

The application provides a satellite in-orbit anomaly and space environment correlation method based on density distribution drift, comprising the following steps: S1: determining a typical repetitive anomaly of an in-orbit spacecraft, on the basis of which, it can be considered that the event has consistent environmental correlation characteristics, so that it can be statistically analyzed together and further analyzed; S2: using the occurrence of the abnormal event as a condition, the space environment data is divided into two parts, and the probability density distribution of the two parts is counted; S3: according to the difference between the probability density distribution of the two parts in S2, the influence of the space environment is formed to form an explainable correlation characteristic, and the correlation analysis is completed. The method is suitable for analyzing the in-orbit repetitive anomaly phenomenon, and the possible correlation characteristics between the change characteristics of the space environment and a kind of repetitive in-orbit anomaly phenomenon are analyzed by using the distribution characteristic construction method in statistics.

The present specification provides a high-precision stratigraphic correlation method, device and electronic equipment, which constructs a filtering factor through well logging data, and then extracts a high-frequency seismic data body and a low-frequency seismic data body from a seismic data body by using the filtering factor. Through time-varying seismic wavelet deconvolution on the high-frequency, medium-frequency and low-frequency seismic data bodies, a target data body with a "virtual resolution" and a much wider frequency band than the seismic data body can be obtained, so that the profile data of the target data body can be used to more accurately distinguish the interwell lateral characteristics, and the stratigraphic correlation is adjusted based on the interwell lateral characteristics to realize high-precision stratigraphic correlation. The high resolution and lateral variation characteristics of the target data profile are used to finely carry out stratigraphic correlation, thereby providing protection for fine exploration and development of oil and gas fields, especially development geology research.

The present application relates to the technical field of data analysis, and particularly relates to a multi-modal data adaptation and feature correlation method for intelligent insight, comprising the following steps: standardizing and arranging structured data fields in data sources of different systems to form a structured field set, identifying field drift patterns, and generating a structure drift label set; guiding semantic flux analysis on content related to the structured field in unstructured modal data, and extracting core semantic candidate units; finally screening out a standardized target semantic unit set; performing graph structure alignment on the standardized target semantic unit set and the structured field set to obtain a field evolution graph, and performing dynamic adaptation based on field inheritance relationships and time sequence evolution paths in the field evolution graph. The present application effectively excludes pseudo-related expressions that are only close in static semantics but have inconsistent contexts, and improves the authenticity and business effectiveness of semantic unit screening.