Water quality monitoring method and water quality monitoring device based on adaptive model

A water quality monitoring and self-adaptive technology, applied in the direction of measuring devices, instruments, scientific instruments, etc., can solve the problem of labor-intensive and time-consuming, lack of automatic, systematic and universal monitoring models, and difficulty in obtaining large-scale water quality change trends and space Distribution status and other issues, to achieve the effect of low cost, convenient long-term dynamic monitoring, and wide monitoring range

Inactive Publication Date: 2017-03-22
SPACE STAR TECH CO LTD
View PDF1 Cites 29 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Traditional water quality monitoring methods are laborious and time-consuming, and can only understand the water pollution status of the monitoring section. It is difficult to obtain the change trend and spatial distribution of large-scale water quality, and cannot meet the requirements of large-scale, real-time dynamic monitoring and evaluation.
[0003] The current water quality monitoring has developed but is still in the research stage, and the establishment of monitoring models based on remote sensing technology lacks automatic, systematic and universal

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
  • Water quality monitoring method and water quality monitoring device based on adaptive model
  • Water quality monitoring method and water quality monitoring device based on adaptive model
  • Water quality monitoring method and water quality monitoring device based on adaptive model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0058] figure 1 It is the flowchart of the water quality monitoring method based on the self-adaptive model in this embodiment, refer to figure 1 , the present embodiment discloses a water quality monitoring method based on an adaptive model, the method comprising steps:

[0059] S1: Obtain the albedo data of the remote sensing image to be processed, set the feature threshold to extract the water body area as the acquisition research area;

[0060] S2: Acquire the water quality data in the research area, conduct least squares correlation analysis on different bands or band combinations, and obtain the most sensitive band or band combination by comparing the correlation coefficients, and establish an adaptive water quality monitoring model based on this. Among the remote sensing image reflectance data, the remote sensing reflectance of water bodies is the most important.

[0061] Adopt above-mentioned technical scheme, the present invention can obtain following technical effe...

Embodiment 2

[0098] figure 2 It is the schematic diagram of the water quality monitoring device of the second embodiment of the present invention, refer to figure 2 , the present invention also provides a water quality monitoring device using any disclosed water quality monitoring method of the present invention, the device comprising:

[0099] An acquisition unit 10, configured to acquire remote sensing image reflectance data to be processed;

[0100] The first processing unit 20 is used for selecting the threshold value of the remote sensing image and extracting the water body area as the acquisition research area;

[0101] The device also includes at least one of the first calculation unit 30, the second calculation unit 40, the third calculation unit 50 and the fourth calculation unit 60;

[0102] in:

[0103] The first calculation unit 30 is used to use the chlorophyll a concentration data in the research area to perform least squares correlation analysis with different bands or ...

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 water quality monitoring method and a water quality monitoring device based on an adaptive model. The method comprises the steps of obtaining remote-sensing reflectivity data to be processed, setting a characteristic threshold value to extract a water body area as a collecting and study area; obtaining water quality data of the collecting and study area, conducting least squares correlation analysis on different wave bands or band combinations, comparing correlation coefficients to obtain the most sensitive wave band or band combinations, and establishing an adaptive water quality monitoring model based on the most sensitive wave band or band combinations. According to the water quality monitoring method and the water quality monitoring device based on the adaptive model, the problems that an existing water quality monitoring model is lack of automaticity, systematicness and universality are solved.

Description

technical field [0001] The invention relates to the technical field of quantitative remote sensing image information extraction, and in particular relates to a water quality monitoring method and a water quality monitoring device based on an adaptive model. Background technique [0002] Traditional water quality monitoring methods are labor-intensive and time-consuming, and can only understand the water pollution status of the monitoring section. It is difficult to obtain the change trend and spatial distribution of large-scale water quality, and cannot meet the requirements of large-scale, real-time dynamic monitoring and evaluation. [0003] The current water quality monitoring has developed but is still in the research stage, and the establishment of monitoring models based on remote sensing technology lacks automatic, systematic and universal. Contents of the invention [0004] Technical problem A water quality monitoring method and a water quality monitoring device th...

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): G01N21/3577G01N21/359
CPCG01N21/3577G01N21/359
Inventor 李娜何晓宁周馨
Owner SPACE STAR TECH CO LTD
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