CN206741670U - Blue algae monitoring early warning system based on unmanned plane - Google Patents

Blue algae monitoring early warning system based on unmanned plane Download PDF

Info

Publication number
CN206741670U
CN206741670U CN201720344329.9U CN201720344329U CN206741670U CN 206741670 U CN206741670 U CN 206741670U CN 201720344329 U CN201720344329 U CN 201720344329U CN 206741670 U CN206741670 U CN 206741670U
Authority
CN
China
Prior art keywords
monitoring
unmanned plane
blue
module
green algae
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201720344329.9U
Other languages
Chinese (zh)
Inventor
张广峰
李珊
霍本军
邢佳艺
刘静
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing University of Science and Technology
Original Assignee
Nanjing University of Science and Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanjing University of Science and Technology filed Critical Nanjing University of Science and Technology
Priority to CN201720344329.9U priority Critical patent/CN206741670U/en
Application granted granted Critical
Publication of CN206741670U publication Critical patent/CN206741670U/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Cultivation Of Seaweed (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

The utility model discloses a kind of blue algae monitoring early warning system based on unmanned plane, include the unmanned plane monitoring platform (1) and ground control cabinet (2) of remote wireless network signal connection, unmanned plane monitoring platform (1) is to the generaI investigation of monitoring waters, fixed point detailed survey and monitoring in real time;Ground control cabinet (2) control unmanned plane monitoring platform (1), polluted water region is determined, extract characteristics of image, generate blue-green algae pollution prewarning.Blue algae monitoring method for early warning of the present utility model and system, round-the-clock, all weather operations, monitoring accuracy are high.

Description

Blue algae monitoring early warning system based on unmanned plane
Technical field
The utility model belongs to aquatic vegetation monitoring, early warning technology field, particularly a kind of round-the-clock, round-the-clock, monitoring The high blue algae monitoring early warning system based on unmanned plane of precision.
Background technology
Water quality is monitored in real time as the monitoring net of an entirety using lake, river, river, is that prevention is illegal, arranges in violation of rules and regulations Put sewage, administer water pollution in time, and early warning in time and suppress the water plant of fast-growth such as blue-green algae effective means it One.
Each department lake monitors and early warning blue-green algae because the amount reproduction of blue-green algae causes the event of water pollution to take place frequently Excessive multiplication have the ecological balance safeguarded around lake be significant.
The monitoring method that test point is most original is set up at the blue-green algae ground scene that takes place frequently, but due to being based on personal monitoring, It is often not prompt enough and accurate.In addition, satellite remote sensing technology monitoring also gradually grows up in recent years, satellite remote sensing technology is utilized Monitoring blue-green algae has instantaneity and broad perspectives, but the resolution ratio of satellite remote sensing technology and accuracy need to be improved, moreover, such as Fruit runs into bad weather, and because visible ray and infrared ray are interfered, the degree of accuracy of satellite remote sensing technology can substantially reduce.And this Millimeter wave remote sensing has performance all-time anf all-weather used by text, can not be influenceed by boisterous, obtains visible ray The specific information that can not be obtained with infrared detector.
So remote sensing monitoring and unmanned plane monitoring mode are mainly used to large area region water pollution monitoring.
Water pollution remote sensing monitoring has the characteristics of quick, macroscopical, real-time, and its data can intuitively reflect water pollution on region Distribution situation, be the effective way being monitored to the pollution condition of water field of big area.But there is use cost height, fixed point in it The problem of monitoring accuracy is inadequate.
Because unmanned plane has the advantages that landing occupation of land is small, require low to landform, can hover ocean weather station observation in the air, in recent years Come, the water pollution monitoring based on unmanned plane starts to apply.It is total according to Chinese maritime patrol Guangdong Province by South China Science & Engineering University such as 2012 The maritime patrol depopulated helicopter of the Chinese first frame independent research of the requirement development of team comes into operation, mainly carry camera, camera, The videos such as microwave and IMAQ transmission equipment, real-time aerial image and data dissemination are carried out, then performed point by data Analyse the tasks such as the ocean law enforcement supervision, environmental monitoring, environmental protection in Guangdong coastal waters.Shanghai Institute of Technical Physics of the Chinese Academy of Sciences designs Compact Multispectral Imager for UAV, it is mounted in unmanned plane SE-1 (exploring No. 1 in ocean) platform, turn into it is a kind of flexibly Motor-driven marine monitoring instrument, the monitoring for major events such as marine pollution, red tide discovery, crude oil leakages.
But existing light is used to the pollution condition of the aquatic vegetation of fast-growth based on the water pollution monitoring of unmanned plane Or IR interface.This mode is higher in sunny daytime precision due to the high-resolution of optical sensor, but black Night, rainy days, haze weather, its monitoring accuracy then decline to a great extent, it is difficult to meet to monitor the aquatic vegetation of fast-growth in real time Demand.
In a word, the problem of prior art is present be:During to the monitoring and warning of the aquatic vegetation blue-green algae of fast-growth easily by day Weather influences, monitoring accuracy are low.
The content of the invention
The purpose of this utility model is to provide a kind of blue algae monitoring early warning system based on unmanned plane, can carry out whole day When, all weather operations, and there is higher monitoring accuracy.
The technical solution for realizing the utility model purpose is:
A kind of blue algae monitoring early warning system based on unmanned plane, including:
Unmanned plane monitoring platform, for being generally investigated monitoring waters, pinpointing detailed survey and in real time monitoring;
Ground control cabinet, for controlling the working condition of unmanned plane monitoring platform, determine polluted water region, extraction image spy Sign, generate blue-green algae pollution prewarning;
The ground control cabinet is connected with unmanned plane monitoring platform by remote wireless network signal.
Compared with prior art, its remarkable advantage is the utility model:
1st, blue algae monitoring early warning is not by weather influences during day:Passive millimeter wave penetration capacity is strong, and the utility model uses 3mm Radiant image, do not influenceed by weather and period, can round-the-clock, the situation of round-the-clock monitoring blue-green algae;
2nd, monitoring accuracy is high:The utility model using general census by the way of fixed point monitoring is combined, not only efficiency high, And precision is also high;Millimeter-wave radiometric image is handled using " genetic algorithm ", makes image more accurate, is further improved Monitoring accuracy;
The utility model is described in further detail with reference to the accompanying drawings and detailed description.
Brief description of the drawings
Fig. 1 is the structural representation of blue algae monitoring early warning system of the utility model based on unmanned plane.
Fig. 2 is the flow chart of the blue algae monitoring method for early warning based on unmanned plane.
In figure, 1 unmanned plane monitoring platform, 2 ground control cabinets,
11 unmanned planes, 12 locating modules, 13 optical photography modules, 14 minor face rotable antennas, 15 3mm radiometers, 16 data Collector, 17 according to memory module, 18 on-air radio transport modules,
21 flight control modules, 22 image processing modules, 23 data processing modules, 24 imaging display modules, 25 ground without Line transport module, 26 pollution prewarning modules.
Embodiment
As shown in figure 1, blue algae monitoring early warning system of the utility model based on unmanned plane, including:
Unmanned plane monitoring platform 1, for being generally investigated monitoring waters, pinpointing detailed survey and in real time monitoring;
Ground control cabinet 2, for controlling the working condition of unmanned plane monitoring platform 1, determine polluted water region, extraction image spy Sign, generate blue-green algae pollution prewarning;
The ground control cabinet 2 is connected with unmanned plane monitoring platform 1 by remote wireless network signal.
As shown in Fig. 2 the unmanned plane monitoring platform 1 includes:
Unmanned plane 11, for carrying various functions module, setting path flies, hovered in polluted water region;
Locating module 12, for obtaining the positional information of blue-green algae;
Optical photography module 13, for shooting the optical imagery in emphasis monitoring waters;
Minor face rotable antenna 14, swept for carrying out cone to monitoring waters;
3mm radiometers 15, the millimeter-wave radiation data of the blue-green algae for gathering monitoring waters;
Water pollution is imaged uses 3mm wave band radiometer systems, radiometer requirement with test system:Wherein 3mm wave band antennas, 0.8 °, antenna aperture 300mm of beam angle, circular polarisation, 180 ° × 120 ° of scanning range;Put using W-waveband radiofrequency low-noise, frequency Scope 90-100GHz, noise coefficient 8dB;;Low-frequency amplifier is using DC mode amplification low frequency signal;Robot scaling equipment is using high Voltage signal is turned to temperature signal by cold temperature source;Imaging is scanned using the cone mode of sweeping, wherein it is small often to enclose the scanning imagery time In 1 second.
Data acquisition unit 16, the radiation image of the blue-green algae in collection emphasis monitoring waters;
According to memory module 17, for storing millimeter-wave radiation data, radiation image and optical imagery on the way;
On-air radio transport module 18, for the telecommunication of ground control cabinet 2, transmit data and flight directive;
The ground control cabinet 2 includes:
Flight control modules 21, for monitoring waters according to setting path or emphasis, produce flight directive;
Image processing module (22), is handled radiation image, and with optical imagery comparative analysis, determine blue-green algae point Cloth scope, contaminated sites, pollution level;
Data processing module 23, for according to blue-green algae radiation data and positional information, just slightly judging emphasis monitoring waters;
Display module 24 is imaged, for showing waters map, unmanned plane during flying track, radiometric characteristic control result, optics Image, the distribution of blue-green algae, contaminated sites, pollution level.
Ground-based wireless transmissions module 25, for the telecommunication of unmanned plane monitoring platform 1, receive data and send flight and refer to Order.
Pollution prewarning module 26, for generating early warning, the decision-making section for correlation provides foundation;
The data processing module 23 respectively with image processing module 22, imaging display module 24, ground-based wireless transmissions mould Block 25 is connected with the signal of ground control cabinet 2.
The course of work of blue algae monitoring early warning system of the utility model based on unmanned plane is as follows:
First:High/low temperature calibration is carried out to radiometer before unmanned plane takes off;
Second step:Unmanned plane takes off to the water surface, after flying height rises to 100m, is flown along setting path and starts to gather Radiation data;
3rd step:The radiation data and the positional information of unmanned plane during flying that data acquisition unit is collected pass through wireless parties Formula passes surface control module back;
4th step:Surface control module substantially judges the place for needing emphasis to monitor, controls nobody according to the position received Machine flies to the place, starts to carry out cone to the waters to sweep, and obtains the radiation image in the waters, while shoot the optics in the waters Image;
5th step:The optical imagery that the radiation image measured and shooting obtain is stored in storage system, passed through simultaneously It is transmitted wirelessly to ground control cabinet;
6th step:Unmanned plane is flown back ground control cabinet, and the data in storage system are exported, and powers off power cut-off;
7th step:The result of comprehensive second step and the 4th step, can determine aquatic vegetation blue-green algae contaminated sites and Its distribution and area information, reach the purpose monitored in real time;
Finally:By the analysis to available data when vegetation reaches to a certain degree, early warning is generated, for related decision-making portion Door provides data and scientific basis.
Aquatic vegetation blue-green algae pollutes on the water surface processing method and measure is thus further studied for management unit to provide Scientific basis and early warning mechanism, can give warning in advance in Blue-green Algae Fast Growth next time temporarily, to carry out counter-measure, and With feature all-time anf all-weather, normal work can be carried out in the case of various poisonous and low visibility.
As shown in Fig. 2 the blue algae monitoring method for early warning based on unmanned plane, comprises the following steps:
(10) waters generaI investigation is monitored:Unmanned plane flies above monitoring waters along setting path, gathers millimeter amplitude on the way Data and blue-green algae positional information are penetrated, obtains blue-green algae radiation data;
In described (10) monitoring waters generaI investigation step, millimeter on the way is gathered using the 3mm wave bands radiometer of UAV flight Wave radiation data.
Described (10) monitoring waters is generally investigated in step, the typical case that blue-green algae radiation data is established by radiation data on the way and in advance Blue-green algae Millimeter Wave Radiometric Characteristic data compare and obtained.
(20) Polluted area is imaged:According to blue-green algae radiation data and blue-green algae positional information, primarily determine that emphasis monitors waters, Unmanned plane is hovered in emphasis monitoring waters, cone is carried out to the waters and sweeps to obtain the radiation image in the waters, while shoots the water The optical imagery in domain;
(30) image characteristics extraction:Radiation image is handled, and with optical imagery comparative analysis, determine blue-green algae point Cloth scope, contaminated sites, pollution level, realize the real-time monitoring to waters;
(30) the image characteristics extraction step includes:
(31) radiometric characteristic control:Millimeter-wave radiometric image is handled using genetic algorithm, optimal threshold is obtained, enters Row image binaryzation, feature extraction then is carried out to image, obtains the radiation data of blue-green algae.
Genetic algorithm need not be modeled for the optimization problem of complexity and complex calculation, as long as three kinds of calculations using genetic algorithm Son is with regard to that can obtain optimal solution.The core of genetic algorithm is elitist selection, king-crossover, directed variation.We are out of the money using wheel disc Method come parent individuality is carried out quickening select it is excellent.
(32) image comparison is analyzed:Obtained radiation data is analyzed with optical imagery, obtains point of blue-green algae Cloth scope, contaminated sites, pollution level;
(40) blue-green algae pollution prewarning:By confirming the distribution, contaminated sites, pollution level of blue-green algae, when vegetation reaches During early warning threshold values, blue-green algae pollution prewarning is generated.
Effect of the present utility model is the method that millimeter wave radiometer is carried using unmanned aerial vehicle platform, being capable of round-the-clock whole day Time is monitored in real time to large area blue-green algae pollution condition, and monitoring information is fed back into control terminal in time, and control terminal can basis The data passed back in real time are adopted an effective measure to blue-green algae pollution, and to prevent there is the pollution of large area, water environment is damaged.For The water pollution control in future provides scientific basis and experiment supports.The utility model is reasonable in design, realizes to monitored area Quickly, comprehensively and accurately monitoring function, the efficiency of monitoring and the real-time and intuitive of monitoring are improved, in water environment protection Aspect has important social reality meaning and great Applied economy value.

Claims (2)

  1. A kind of 1. blue algae monitoring early warning system based on unmanned plane, it is characterised in that including:
    Unmanned plane monitoring platform (1), for being generally investigated monitoring waters, pinpointing detailed survey and in real time monitoring;
    Ground control cabinet (2), for controlling the working condition of unmanned plane monitoring platform (1), determine polluted water region, extraction image spy Sign, generate blue-green algae pollution prewarning;
    The ground control cabinet (2) is connected with unmanned plane monitoring platform (1) by remote wireless network signal;
    The unmanned plane monitoring platform (1) includes:
    Unmanned plane (11), for carrying various functions module, setting path flies, hovered in polluted water region;
    Locating module (12), for obtaining the positional information of blue-green algae;
    Optical photography module (13), for shooting the optical imagery in emphasis monitoring waters;
    Minor face rotable antenna (14), swept for carrying out cone to monitoring waters;
    3mm radiometers (15), the millimeter-wave radiation data of the blue-green algae for gathering monitoring waters;
    Data acquisition unit (16), the radiation image of the blue-green algae in collection emphasis monitoring waters;
    According to memory module (17), for storing millimeter-wave radiation data, radiation image and optical imagery on the way;
    On-air radio transport module (18), for ground control cabinet (2) telecommunication, transmit data and flight directive.
  2. 2. blue algae monitoring early warning system according to claim 1, it is characterised in that the ground control cabinet (2) includes:
    Flight control modules (21), for monitoring waters according to setting path or emphasis, produce flight directive;
    Image processing module (22), is handled radiation image, and with optical imagery comparative analysis, determine the distribution model of blue-green algae Enclose, contaminated sites, pollution level;
    Data processing module (23), for according to blue-green algae radiation data and positional information, just slightly judging emphasis monitoring waters;
    Display module (24) is imaged, for showing waters map, unmanned plane during flying track, radiometric characteristic control result, optical picture Picture, the distribution of blue-green algae, contaminated sites, pollution level;
    Ground-based wireless transmissions module (25), for unmanned plane monitoring platform (1) telecommunication, receive data and send flight and refer to Order;
    Pollution prewarning module (26), for generating early warning, the decision-making section for correlation provides foundation;
    The data processing module (23) respectively with image processing module (22), imaging display module (24), ground-based wireless transmissions Module (25) is connected with ground control cabinet (2) signal.
CN201720344329.9U 2017-04-05 2017-04-05 Blue algae monitoring early warning system based on unmanned plane Expired - Fee Related CN206741670U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201720344329.9U CN206741670U (en) 2017-04-05 2017-04-05 Blue algae monitoring early warning system based on unmanned plane

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201720344329.9U CN206741670U (en) 2017-04-05 2017-04-05 Blue algae monitoring early warning system based on unmanned plane

Publications (1)

Publication Number Publication Date
CN206741670U true CN206741670U (en) 2017-12-12

Family

ID=60558439

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201720344329.9U Expired - Fee Related CN206741670U (en) 2017-04-05 2017-04-05 Blue algae monitoring early warning system based on unmanned plane

Country Status (1)

Country Link
CN (1) CN206741670U (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115937721A (en) * 2023-03-08 2023-04-07 联通(山东)产业互联网有限公司 Enteromorpha monitoring method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115937721A (en) * 2023-03-08 2023-04-07 联通(山东)产业互联网有限公司 Enteromorpha monitoring method

Similar Documents

Publication Publication Date Title
CN106875636A (en) Blue algae monitoring method for early warning and system based on unmanned plane
CN106197380A (en) Aquatic vegetation monitoring method based on unmanned plane and system
CN107449780A (en) Waterborne contaminant monitoring and pre-alarming method and system based on unmanned plane
CN101963664B (en) Microwave remote sensing pixel element decomposing method based on land and water living beings classifying information
CN206113932U (en) Aquatic vegetation monitoring system based on unmanned aerial vehicle
CN106335646A (en) Interference-type anti-UAV (Unmanned Aerial Vehicle) system
CN109085573A (en) Vehicle-mounted unmanned aerial vehicle managing and control system and method
CN104730005A (en) Ground-air integrated agricultural monitoring system and method
CN206087337U (en) Anti - unmanned aerial vehicle system of interference formula
CN105046909A (en) Agricultural loss assessment assisting method based on small-sized unmanned aerial vehicle
CN109631860A (en) Reservoir house refuse monitoring method and system based on unmanned plane
CN106500841A (en) A kind of method and system of remote sensing monitoring large area tea place plant polyphenol content
Peterson Holes in optical lightning flashes: Identifying poorly transmissive clouds in lightning imager data
CN206741670U (en) Blue algae monitoring early warning system based on unmanned plane
CN204514798U (en) Air-ground integrated agricultural monitoring system
CN212861863U (en) Plant community statistics monitoring system based on unmanned aerial vehicle
Zhang et al. Large-scale cellular coverage analyses for UAV data relay via channel modeling
Dufek et al. Preventing irrigation canal breaches using small unmanned aerial system with multispectral payload
CN113281730A (en) Ku wave band sea clutter measuring radar
Demetri et al. Estimating low-power radio signal attenuation in forests: A LiDAR-based approach
CN115797807A (en) Ocean garbage monitoring method, system and medium based on data of unmanned aerial vehicle-mounted spectrometer
Zhang et al. A method for deriving plant temperature from UAV TIR Image
CN212158332U (en) Unmanned aerial vehicle discernment detecting device
Kustas et al. Remote sensing field experiments evaluate retrieval algorithms and land‐atmosphere modeling
Siewert et al. Image and Information Fusion Experiments with a Software-Defined Multi-Spectral Imaging System for Aviation and Marine Sensor Networks

Legal Events

Date Code Title Description
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20171212

Termination date: 20190405