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

Unmanned-aerial-vehicle-based blue-green algae monitoring and early-warning method and system

A monitoring and early-warning, unmanned aerial vehicle technology, which is applied to alarms, computer parts, instruments, etc., can solve the problems of monitoring and early-warning being easily affected by weather and weather, and low monitoring accuracy, so as to improve monitoring accuracy, high monitoring accuracy, and image quality. precise effect

Inactive Publication Date: 2017-06-20
NANJING UNIV OF SCI & TECH
View PDF5 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] In short, the existing problems in the existing technology are: the monitoring and early warning of the fast-growing aquatic vegetation cyanobacteria is easily affected by the weather, and the monitoring accuracy is low

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
  • Unmanned-aerial-vehicle-based blue-green algae monitoring and early-warning method and system
  • Unmanned-aerial-vehicle-based blue-green algae monitoring and early-warning method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] Such as figure 1 As shown, the cyanobacteria monitoring and early warning method based on unmanned aerial vehicle of the present invention comprises the following steps:

[0033] (10) General survey of monitoring waters: UAVs fly along the set route above the monitoring waters, collect millimeter-wave radiation data and cyanobacteria location information along the way, and obtain cyanobacteria radiation data;

[0034] In the (10) general survey step of monitoring waters, the 3mm band radiometer carried by the drone is used to collect millimeter wave radiation data along the way.

[0035] In the (10) general survey step of monitoring waters, the cyanobacteria radiation data is obtained by comparing the radiation data along the route with the previously established typical cyanobacteria millimeter-wave radiation characteristic data.

[0036] (20) Imaging of polluted areas: According to the cyanobacteria radiation data and the location information of cyanobacteria, initia...

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 an unmanned-aerial-vehicle-based blue-green algae monitoring and early-warning method and system. The method comprises: (10), carrying out general investigation of a monitored water area; to be specific, collecting millimeter-wave radiation data on the way and blue-green algae location information; (20), carrying out contaminated area imaging; to be specific, carrying out key-point conical scanning to obtain a radiation image and shooting an optical image; (30), carrying out image feature extraction; to be specific, carrying out processing on the radiation image, carrying out a contrastive analysis on the processed radiation image and the optical image, and carrying out real-time monitoring; and (40), carrying out early warning of blue-green algae pollution; to be specific, determining blue-green algae pollution and generating blue-green algae pollution early warning. In addition, the system consists of an unmanned aerial vehicle monitoring platform (1) and a ground console (2) that are in remote wireless network signal connection. The unmanned aerial vehicle monitoring platform (1) carries out general investigation, detailed fixed-point investigation, and real-time monitoring on a monitored water area; and the ground console (2) controls the unmanned aerial vehicle monitoring platform (1) to determine a polluted water area, extract an image feature, and generates blue-green algae pollution early waning. The monitoring and early-warning method and system have advantages of all-time and all-weather working and high monitoring precision.

Description

technical field [0001] The invention belongs to the technical field of aquatic vegetation monitoring and early warning, in particular to an all-day, all-weather, high-precision monitoring method for cyanobacteria monitoring and early warning based on an unmanned aerial vehicle and a monitoring and early warning system for realizing the method. Background technique [0002] Real-time monitoring of water quality with lakes, rivers, and rivers as a whole monitoring network is one of the effective ways to prevent illegal and illegal discharge of sewage, timely control water pollution, and timely early warning and suppression of fast-growing aquatic plants such as blue-green algae. [0003] Due to the frequent occurrence of water pollution incidents in lakes in various regions due to the large-scale reproduction of cyanobacteria, monitoring and early warning of the excessive reproduction of cyanobacteria is of great significance to maintain the ecological balance around the lake. ...

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
IPC IPC(8): G08B21/12G06K9/00
CPCG08B21/12G06V20/13
Inventor 张光锋李珊霍本军邢佳艺刘静
Owner NANJING UNIV OF SCI & TECH
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