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

CN106875636AInactive Publication Date: 2017-06-20NANJING UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2017-06-20
Estimated Expiration
Not applicable · inactive patent

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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.
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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. ...

Examples

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...