Method for solving distance level of seawater profile observation data

A profile observation and data technology, applied in the field of data processing, can solve problems such as accurate trend items of difficult seawater profile observation data, achieve the effect of retaining original characteristics, ensuring reliability, and avoiding multiple repetitions

Active Publication Date: 2019-12-10
THE FIRST INST OF OCEANOGRAPHY SOA
View PDF8 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The methods for obtaining the data trend items above are generally applicable to the calculation of high-frequency change data trend items, and the three methods are affected by the changes in the number of fitting times, filtering times, and IMF component additions. The obtained seawater profile The trend item of the observation data can only reflect the general trend of the original data in some data segments, and it is difficult to be an accurate trend item of the seawater profile observation data

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
  • Method for solving distance level of seawater profile observation data
  • Method for solving distance level of seawater profile observation data
  • Method for solving distance level of seawater profile observation data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0035] In order to ensure the reliability of seawater profile observation data and provide reliable data guarantee for marine environment monitoring, accurate anomalies are usually used to provide a basis for the identification and elimination of singular values ​​of seawater profile observation data. The key to obtaining is the obtaining of accurate trend items. In the prior art, the least square fitting method, low-pass filtering method or empirical mode decomposition (EMD) method is generally used to obtain the trend item, but the above method for obtaining the data trend item is generally appli...

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 belongs to the technical field of data processing, and particularly relates to a method for solving distance level of seawater profile observation data, which comprises the following steps of S1, obtaining sea water profile observation original data; S2, eliminating noise items of the seawater profile original data to obtain denoised data; S3, solving a trend term of the de-noised data; and S4, solving a distance level based on the trend term. According to the method, original data noise is eliminated, noise is not introduced again, and original characteristics of profile data are reserved to the maximum extent. The precise trend term of the seawater profile observation data is solved at a time without repeated calculation, so that the precise distance is obtained, a reliablejudgment basis is provided for recognition and elimination of singular values of the seawater profile observation data, the reliability of the observation data is guaranteed, and reliable data guarantee is provided for marine environment monitoring.

Description

technical field [0001] The invention belongs to the technical field of data processing, in particular to a method for obtaining anomalies of seawater profile observation data based on the introduction of trend items without noise. Background technique [0002] On-site survey is the most direct and effective way to understand and grasp the marine environment. In order to accurately reveal the temporal and spatial distribution characteristics and changing laws of the marine environment, it is particularly important to ensure the accuracy and reliability of the survey data obtained. Due to instrumental or human factors, it is inevitable that the obtained seawater profile observation data contain measurement errors, mainly including random errors and negligent errors. In general, the observation data has a large range of variation in the entire water depth profile, especially in the oceanic mesocline region or retrocline region and other rapidly changing water layers, the variat...

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 Applications(China)
IPC IPC(8): G06F17/13G01C7/00
CPCG06F17/13G01C7/00
Inventor 于龙胡筱敏熊学军孙佳郭延良鞠霞云升军陈亮
Owner THE FIRST INST OF OCEANOGRAPHY SOA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap