5 results about "Time correlation" patented technology

This invention provides a method for diagnosing condensation degradation in vector thermal analysis. The method includes: performing a thermal analysis reaction on the sample to obtain thermogravimetric data and three-dimensional mass spectrometry data of the gaseous phase; calculating the total mass change of the sample; analyzing the three-dimensional mass spectrometry data using the equivalent characteristic spectrum method to obtain the total mass change of all gaseous components; and determining the classification of condensation degradation based on time correlation coefficients. The classification of condensation degradation includes: condensation tailing defects, condensation drift defects, memory effect defects, and secondary reaction defects. This invention utilizes mass spectrometry in vector thermal analysis to qualitatively and quantitatively analyze the escaping gases during the thermal analysis reaction process. By comparing the mass yield of all gaseous components with the weight loss rate of the solid and liquid phases in the thermal analysis, and using a time correlation and mass balance system, it provides real-time intelligent diagnosis of condensation degradation phenomena and possible types occurring in the escaping gases during detection.

The present application relates to the technical field of concrete dam structure safety monitoring, in particular to a concrete dam operation key position partition monitoring method, model and storage medium. The concrete dam operation key position partition monitoring method provided by the present application first divides the key positions of the concrete dam by using the extracted monitoring data time-frequency vector, and on this basis, obtains the time sequence measurement data of different types of monitoring instruments with high space-time correlation, thereby establishing a graph structure, capturing the time dimension and variable dimension dependency relationship of the multivariate time sequence data, providing a graph attention network to further learn and represent this relationship, obtaining the final feature representation of the time sequence measurement data, and finally calculating an anomaly score by using the final feature representation to detect anomalies; the complementary mutual verification of multiple types of monitoring instruments and multiple measuring points is realized, and the structural integrity and spatial distribution law of the concrete dam are fully reflected.

The application discloses a kind of abandoned stone coal mine ecological restoration effect evaluation method and system, method includes: the dataset of the multi-source ecology of repair area is established, and the multidimensional time series matrix is formed after data set is spatially registered, time marker and abnormality is eliminated;The time series matrix is analyzed in time sequence consistency, and the time sequence dependence between ecological factors is calculated using the time lag correction algorithm based on mutual information, and the coupling feature set is generated using variable step delay matching to correct time difference;The coupling feature set is input into the graph convolution network model, the node is ecological factor, and the edge weight is time correlation, and the associated features of space and time are extracted by graph convolution.The application realizes the comprehensive evaluation of precision, stability and interpretability of abandoned mine restoration effect by constructing multi-source ecological coupling model and dynamic intelligent analysis mechanism.

The present application relates to the technical field of data processing, in particular to a kind of multi-source geological disaster information intelligent processing method and equipment, comprising the following steps: collecting displacement and acceleration monitoring information and unified access time alignment generates multi-source time series data, geological boundary is divided according to range analysis geological unit and is established mapping, monitoring point and remote sensing data attribution unit form index, depict time series variation reflects unit evolution characteristics, identify disaster state and output fusion result.In the present application, time correlation is carried out to multi-source monitoring information, and geological unit space constraint is introduced, so that the data of different sources form a stable corresponding relationship in a unified spatial framework.The monitoring information is no longer aligned with time and coordinates, but is directly associated with specific geological units.Combining the time series variation characteristics of multi-source information, the dynamic evolution within the geological unit is continuously depicted, and the support capability of monitoring information in disaster analysis and application output is enhanced.

The application provides a tunnel surrounding rock dynamic grading and early warning method and related equipment, through integration of two types of core data sources of static basic data and dynamic monitoring data, overall coverage of geological information is realized; with the aid of the space-time correlation binding mechanism of mileage coordinates and time stamps, the information barrier between static data and dynamic data is broken, ensuring accurate correspondence of different dimension data in spatial position and time dimension, providing a unified data basis for subsequent grading calculation; based on the dynamic weight distribution mechanism of the construction stage, the grading calculation can adapt to the geological characteristics in different periods of tunnel construction, the dynamic update of the quality grade of each tunnel segment surrounding rock is realized through the preset grading standard algorithm, the technical difficulty that the traditional fixed weight grading method cannot adapt to the dynamic evolution of surrounding rock in the whole construction process is solved, and the timeliness and accuracy of surrounding rock grading are significantly improved.