Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Method for Similarity Measurement of Spatiotemporal Multivariate Hydrological Time Series

A hydrological time series, similarity measurement technology, applied in complex mathematical operations, instruments, calculations, etc., can solve the problem of lack of spatial dimension in the similarity measurement of hydrological multivariate time series

Active Publication Date: 2022-03-08
HOHAI UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0020] Purpose of the invention: In order to solve the problem that the existing similarity measure of hydrological multivariate time series lacks the spatial dimension, the present invention provides a method for measuring the similarity of spatiotemporal multivariate hydrological time series

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Method for Similarity Measurement of Spatiotemporal Multivariate Hydrological Time Series
  • A Method for Similarity Measurement of Spatiotemporal Multivariate Hydrological Time Series
  • A Method for Similarity Measurement of Spatiotemporal Multivariate Hydrological Time Series

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0041] Such as Figure 7 As shown, the spatio-temporal multivariate hydrological time series similarity measurement method includes the following steps in turn:

[0042] (1) Rasterize the original rainfall data of the flood;

[0043] (2) The rasterized matrix data generated by step 1 utilizes the 2D-DTW algorithm to calculate the distance between the two rows of row vectors in the two frames of each other in the two rainfall matrix sequences;

[0044] (3) Use the distance between the two-row row...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a time-space multivariate hydrological time series similarity measurement method. First, the original rainfall data of the flood is gridded to generate a rainfall distribution matrix diagram for each hour. Then calculate the 2D‑DTW distance between the two rainfall distribution matrix sequences, including the similarity calculation method of the two rainfall distribution matrices and the similarity measurement method for the rainfall distribution matrix sequence. And use the distance between the obtained standard template rainfall distribution matrix sequence and the test template rainfall distribution matrix sequence to determine which one or which test floods are most similar to the standard template flood hydrological process, and can output the same as The template flood hydrological process is most similar to several test flood data.

Description

technical field [0001] The invention relates to a method for measuring similarity of spatio-temporal multivariate hydrological time series, and belongs to the technical field of hydrological data science. Background technique [0002] Mining of time-series data has attracted a great deal of attention in the research community over the past few decades. These studies have implications in many fields, from biology, physics, astronomy, medicine, nanotechnology and stock market analysis, among others. The earliest concept of sequence pattern was proposed by Agrawal and Srikant. Time sequence mining added time attributes to sequence pattern mining and association mining to mine the sequential connection between transactions in time. Discover some patterns that can reflect the connections and laws between transactions, and then predict the future development trend of transactions. Time series similar pattern mining mainly involves three issues: 1) feature representation; 2) simi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/74G06F17/16
CPCG06F17/16G06F18/22Y02A10/40
Inventor 冯钧郭涛杭婷婷李晓东朱跃龙
Owner HOHAI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com