CN108107176A - A kind of unmanned boat and pollution sources method for tracing for water quality monitoring and pollution sources tracking - Google Patents

A kind of unmanned boat and pollution sources method for tracing for water quality monitoring and pollution sources tracking Download PDF

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CN108107176A
CN108107176A CN201810033951.7A CN201810033951A CN108107176A CN 108107176 A CN108107176 A CN 108107176A CN 201810033951 A CN201810033951 A CN 201810033951A CN 108107176 A CN108107176 A CN 108107176A
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pollution sources
water quality
unmanned boat
pollutant
tracing
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余道洋
刘锦淮
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Hefei Institutes of Physical Science of CAS
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Hefei Institutes of Physical Science of CAS
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/18Water
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B63SHIPS OR OTHER WATERBORNE VESSELS; RELATED EQUIPMENT
    • B63BSHIPS OR OTHER WATERBORNE VESSELS; EQUIPMENT FOR SHIPPING 
    • B63B35/00Vessels or similar floating structures specially adapted for specific purposes and not otherwise provided for
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88Radar or analogous systems specially adapted for specific applications
    • G01S13/93Radar or analogous systems specially adapted for specific applications for anti-collision purposes
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/88Lidar systems specially adapted for specific applications
    • G01S17/93Lidar systems specially adapted for specific applications for anti-collision purposes
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B63SHIPS OR OTHER WATERBORNE VESSELS; RELATED EQUIPMENT
    • B63BSHIPS OR OTHER WATERBORNE VESSELS; EQUIPMENT FOR SHIPPING 
    • B63B35/00Vessels or similar floating structures specially adapted for specific purposes and not otherwise provided for
    • B63B2035/006Unmanned surface vessels, e.g. remotely controlled
    • B63B2035/007Unmanned surface vessels, e.g. remotely controlled autonomously operating
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A20/00Water conservation; Efficient water supply; Efficient water use
    • Y02A20/20Controlling water pollution; Waste water treatment
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
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Abstract

The invention discloses a kind of unmanned boats and pollution sources method for tracing for water quality monitoring and pollution sources tracking, the catamaran formed including two enclosures and connecting plate, the upper surface of the catamaran is laid with the solar panel that promising lithium battery charges, U-shaped equipment frame is provided with above catamaran, video camera, radar and antenna are installed on the equipment frame;Control cabinet, battery flat, generator bay, water quality sampling cabin and five equipment compartments for being used to place water quality monitoring instrument are respectively equipped in two enclosures.The unmanned boat of the present invention possesses the tracking of pollution entering the water and traces to the source, the tracking and function of tracing to the source detect the concentration field of water pollutant by full spectral water quality analyzer, with reference to the Turbulent Model of the high Reynolds number of current, using the Bayesian inference algorithm of optimal vector π, autonomous control unmanned boat cruises to the source of pollution sources, realizes the tracking of water pollution and traces to the source.

Description

A kind of unmanned boat and pollution sources method for tracing for water quality monitoring and pollution sources tracking
Technical field
The invention belongs to water quality monitorings to survey field more particularly to a kind of unmanned boat for water quality monitoring and pollution sources tracking And pollution sources method for tracing.
Background technology
China is the country of a freshwater resources famine, while water environment pollution form is severe.Water pollution control Key link is water quality monitoring and early warning, however, also there is deficiencies for the existing water quality monitoring technology in China:First, monitoring station Quantity is few, often not as good as the quantity in monitored waters, so as to be difficult to reflect on the whole a regional water quality condition;It is second is that each The monitoring capability deficiency of a monitoring department, the shortcomings such as monitoring index is few, sample frequency is low;Third, live dynamic monitoring ability is not Foot, mobile water quality monitoring device is very little, mobility deficiency.In recent years, water quality mobile monitoring integrated platform is particularly nobody and drives The development for sailing unmanned boat is paid attention to so that develops the original position of the water quality based on unmanned boat, mobile, On-Line Dynamic Monitoring technology becomes May, while the water pollution early warning based on dynamic monitoring data is also able to revolutionary development.
The content of the invention
The object of the present invention is to provide a kind of for water quality monitoring and the unmanned boat of pollution sources tracking and pollution sources tracking side Method possesses contexture by self, autonomous navigation function, while can realize for temperature, electrical conductivity, turbidity, dissolved oxygen and pH in water The water quality such as organic matters and heavy metal such as conventional five parameters such as value, the nutritive salt such as ammonia nitrogen, total nitrogen, phosphate, total phosphorus, TOC, COD Pollution parameters carry out real time on-line monitoring function, water quality model analysis are carried out further directed to the water quality data of monitoring, so as to reach Possesses early warning purpose to water pollution accident diffusion.
The present invention is solved by following technical proposals:
A kind of unmanned boat for water quality monitoring and pollution sources tracking, it is double including being made of two enclosures and connecting plate Body ship, the upper surface of the catamaran are laid with the solar panel that promising lithium battery charges, and being provided with U-shaped above catamaran sets For frame, video camera, radar and antenna are installed on the equipment frame;Control cabinet, battery flat, hair are respectively equipped on unmanned boat Motor room, water quality sampling cabin and five are used to place the equipment compartment of water quality monitoring instrument.
Further scheme, the water monitoring instrument includes conventional five parameter modules, heavy metal analysis module, full spectrum joins more Number Water Test Kits, organic pollution detection module, microorganism detection module, antibiotic detection module.
Further scheme is equipped with gasoline/diesel generator in the catamaran, and the gasoline/diesel generator is to lithium electricity Pond is charged, and the output terminal of the lithium battery is connected with DC-DC converter.
Further scheme, the catamaran are equipped with GPS, electronic compass;The material of the catamaran is fiberglass.
Five equipment compartments are successively set on water quality sampling cabin in two enclosures;And control cabinet, battery flat and hair Motor room is successively set on the connecting plate below solar panel.
Another goal of the invention of the present invention is to provide a kind of above-mentioned unmanned boat for water quality monitoring and pollution sources tracking Pollution sources method for tracing, the full spectrum multiparameter water quality analyzer including being used to detect pollutant in unmanned boat surrounding body, Its step are as follows:
1) use full spectrum multiparameter water quality analyzer to using unmanned boat as the center of circle, radius be waters in the range of 10 meters into Row sampling, pollutant monitoring;
2) when detecting that pollutant concentration is more than threshold value, current waters fluid velocity is detected by radar wave current meter, And pass through GPS and obtain current geographical location, so that it is determined that the position of unmanned boat and waters flow velocity and flow direction change over time Time-domain signal;
3) full spectrum multiparameter water quality analyzer real-time detection and the plume that water pollutant is spread with waters fluid is obtained Characteristic signal, so that it is determined that the time domain and space-domain signal of the plume of diffusion;
4) according to the time domain and space-domain signal of plume in step 3), gridding segmentation is carried out to the polluted water region detected Form cell element;
5) according to polluted water region Historical Monitoring database, the initial vector π of Bayesian inference probabilistic algorithm is provided, wherein 0 Then≤π≤1 calculates the probability that each cell element containing pollution sources is detected using probability density function;
6) renewal vector π continues to calculate the probability that pollutant or pollution sources are detected in polluted water region, forms pollutant Probability map;Then pollutant probability map is updated using Bayesian inference, and evaluates whether newer map meets partially Difference requirement;
If 7) newer pollutant probability map meets deviation requirement, new test position point planning chart to be cruised is performed, If not satisfied, re-executing step 5), 6), until meeting the requirements, optimal pollutant probability map is drawn;
8) according to optimal pollutant probability map, the path of tracing to the source of unmanned boat is generated;Then it is current further according to unmanned boat Spatial-domain information and fluid turbulence signal, calculate unmanned boat automatic Pilot path, to pollution sources carry out real-time tracing;
9) during real-time tracing, pollutant probability map must be constantly updated, go forward side by side a successive step and optimization pollution sources Track path;
10) to constantly determining whether the peak of pollution sources plume in pollution sources tracing process, if stopping chasing after Track, then current location is the source of pollution sources;If not step 8), 9) is then continued to execute, until finding pollution sources.
Further scheme, the length of side of cell element described in step 4) are 50 meters of square.
Further scheme, wherein initial vector π=1/M described in step 5), M=n × m, n and m are respectively the length of cell element Degree and width.
Probability density function described in step 5) or step 6) is P (Ai|Dj(tk))=βij(t0, tk), wherein AiFor pollution The contamination accident that source occurs in i-th of cell element, Dj(tk) represent the t in j cell elementskMoment detects the event of pollutant, βij(t0, tk) i cell elements are represented from tiMoment continues diffusion pollution object, and the t in j cell elementskMoment detects the probability of pollutant.
Plume in the present invention is that technical term is to represent that a column fluid moves in one other fluid.
The catamaran of unmanned boat of the present invention is set to nine cabins, is respectively control cabinet, battery flat, water quality sampling cabin, power generation Cabin and 5 equipment compartments for being used to rotate water quality monitoring instrument.Wherein five equipment compartments are successively set on two with water quality sampling cabin In a enclosure;And control cabinet, battery flat, generator bay are arranged on the connecting plate below solar panel.
Wherein battery flat is for placing lithium battery, and control cabinet is for mounting industrial tablet computer, embedded Control mainboard, electricity Source controller, drive control device, network router, GPS navigation module, electronic compass, data bus interface module;Five equipment Cabin is used to install all kinds of water quality monitoring instruments;Water quality sampling cabin is used for the automatic collection to monitoring water sample and keeps sample.Binary simultaneously The upper surface of ship is laid with the solar panel that promising lithium battery charges, and catamaran upper end is installed with U-shaped equipment frame, in equipment frame Fixed laser radar/millimetre-wave radar, antenna, video camera head etc..
Battery flat is equipped with lithium ion battery and electric power system, and the upper surface tiling of catamaran is useful for collecting solar energy simultaneously It is translated into the solar panel of electric energy, the solar panel on hull absorbs solar energy and generates DC current, direct current Electric current, which enters in lithium battery, to be stored.The output of lithium battery is converted by DC-DC, changes into different grades of direct current, is tablet Computer, control mainboard, control system, communication system, water quality monitoring system, waterway control system, video system, GPS, electronics sieve Disk, laser radar/millimetre-wave radar etc. provide power supply.
Generator bay installs small gasoline/diesel-driven generator, and power supply is provided for system, while charges for lithium battery, increases The lasting cruise time of unmanned boat, make up pure battery powered cruising time it is short the shortcomings that.
Unmanned boat is equipped with autonomous cruise system and automatic obstacle-avoiding system, and wherein autonomous cruise system includes GPS, electronics sieve Disk, GPS for obtaining the co-ordinate position informations such as the real-time longitude and latitude of unmanned boat, electronic compass for obtain the real-time course of unmanned boat, The attitude informations such as inclination and pitch angle.Specific embodiment is:It is controlled by unmanned boat on hand-held tablet computer/PC The point for needing to cruise, the GPS longitudes and latitudes that boat-carrying tablet computer is currently located according to hull are set on the map of the man-machine interface of system Degree, attitude information and the GPS latitude and longitude informations for intending cruise point calculate the road of autonomous cruise according to above-mentioned 2 points of data Footpath and azimuth, fit autonomous cruise route, further automatically control left and right propeller power size and steering, allow hull edge The cruise route envelope curve traveling fitted, after reaching first cruise target point, according still further to said program autonomous cruise under One cruise target point.
Automatic obstacle-avoiding system laser radar and millimetre-wave radar, laser radar are the radars using laser as working beam, are To emit the radar system of the characteristic quantities such as the position of detecting laser beam target, speed.It is by laser transmitter, optics reception Electric pulse is become light pulse emission and gone out by the compositions such as machine, turntable and information processing system, laser, and photoreceiver is again from mesh The light pulse that mark reflects is reduced into electrical impulse information data and gives tablet computer by serial ports, and this patent uses 16 line lasers Radar, tablet computer fit centered on unmanned boat barrier in 120 meters of radius according to the beam data that laser radar reflects 3D shape, profile, position and scattering strength.The millimeter wave be a kind of wavelength between centimeter wave and light wave, pass through Transmitting carrys out the electronic equipment of sense object with receiving microwave, and target is moved in 40 meters of radius centered on unmanned boat for detecting Distance, speed, angle information.
Multiple Type water quality monitoring instrument is placed in 5 equipment compartments, the water monitoring instrument can be according to water quality monitoring Demand carries different type instrument, and the water quality monitoring instrument that can be carried has respectively:Monitor the temperature of water, pH value, electrical conductivity, turbid The conventional five parameter water quality monitors such as degree, electrical conductivity, monitor the content of beary metal such as lead, copper, zinc, cadmium, arsenic, mercury, Cr VI in water Monitoring instrument, monitor the monitoring instrument of the nutritive salt such as ammonia nitrogen, total phosphorus, total nitrogen, nitrate, COD, TOC and organic matter in water, prison Survey volatile phenol in water, polycyclic aromatic hydrocarbon (PAH), Polychlorinated biphenyls (PCBs), Adsorbable organic halogens, Volatile Organohalides, organic Chloro pesticide, organophosphorus pesticide, volatile organic matter (VOCs), semi-volatile organic matter (SVOCs), dioxin, total petroleum hydrocarbon class (TPH) monitoring instrument of organic pollutions, monitoring total coli group, total plate count, heat-resisting coliform, the escherichia coli such as The microorganism monitorings instrument such as bacterium, staphylococcus aureus monitors monitoring instrument of antibiotic content etc. and separate unit instrument in water The full spectrum multi-parameter water quality monitor of gas chromatography and nutrient concentrations in water can be monitored simultaneously, monitoring instrument in above-mentioned water Using modular construction, it can be combined and arrange in pairs or groups according to water quality monitoring demand.
Full spectrum multiparameter water quality analyzer uses wave-length coverage as 190-900nm, and resolution ratio is the ultraviolet and visible of 2nm Light spectrographic detection water sample, it is different to the absworption peak of Organic substance in water by different wave length spectrum, absorbance Fingerprint is obtained, into One step is modeled Fingerprint data, and by Some Organic Pollutants in pattern-recognition automatic identification water, this patent uses Algorithm for pattern recognition be multichannel array data depth neural network algorithm.
Conventional water quality monitoring instrument one can only detect a kind of specific pollutant concentration, it is impossible to types of unknown pollutants into Row monitoring is in test in laboratory and analysis to the detection of types of unknown pollutants at present after sampling, and detection cycle is long, of high cost. But the present invention uses full spectrum multiparameter water quality analyzer device, with Fingerprint data, by the modeling of Fingerprint and Analysis can carry out real-time, quick and Site Detection and automatic identification to a variety of unknown organic pollutions in water, so as to fulfill water The early warning of contamination accident.
The unmanned boat of the present invention possesses the tracking of pollution entering the water and traces to the source, and the tracking and function of tracing to the source pass through full spectrum water Matter analyzer detects the concentration field of water pollutant, with reference to the Turbulent Model of the high Reynolds number of current, using optimal vector π's Bayesian inference algorithm, autonomous control unmanned boat cruise to the source of pollution sources, realize the tracking of water pollution and trace to the source.
Description of the drawings
Fig. 1 is schematic structural view of the invention,
Fig. 2 is each cabin arrangement schematic diagram in the present invention,
Fig. 3 is to split schematic diagram to the polluted water region gridding detected;
Fig. 4 is the Fingerprint datagram of the pollution-free normal water quality of full spectrum multiparameter water quality analyzer detection,
Fig. 5 is the Fingerprint datagram of the pollution water quality of full spectrum multiparameter water quality analyzer detection.
Specific embodiment
The invention will be further described with reference to the accompanying drawings and examples.
Embodiment 1:
As shown in Figure 1, 2, a kind of unmanned boat for water quality monitoring and pollution sources tracking, including by two enclosures 1.1 And the catamaran that connecting plate is formed, the upper surface of the catamaran is laid with the solar panel 1.2 that promising lithium battery charges, double U-shaped equipment frame 1.3 is provided with above body ship, video camera 1.4, radar 1.5 and antenna are installed on the equipment frame 1.3 1.6;Control cabinet 1.9, battery flat 1.10, generator bay 1.11, water quality sampling cabin 1.12 and five use are respectively equipped on unmanned boat In the equipment compartment for placing water quality monitoring instrument.
Radar wave current meter 1.7, propeller 1.8 are installed on catamaran.
Each cabin arrangement mode is as shown in Fig. 2, five equipment compartments are successively set on two closings with water quality sampling cabin 1.12 In cabin 1.1;And control cabinet 1.9, battery flat 1.10, generator bay 1.11 are arranged in the company of 1.2 lower section of solar panel On fishplate bar.Wherein battery flat 1.10 is for placing lithium battery, and control cabinet 1.9 is for mounting industrial tablet computer, embedded Control Mainboard, power-supply controller of electric, drive control device, network router, GPS navigation module, electronic compass, data bus interface module; Equipment compartment 1, equipment compartment 2 1.132, equipment compartment 3 1.133,4 1.134 equipment compartment 5 1.135 of equipment compartment are used to install All kinds of water quality monitoring instruments;Water quality sampling cabin is used for the automatic collection to monitoring water sample and keeps sample.The upper surface of catamaran simultaneously The solar panel that promising lithium battery charges is laid with, catamaran upper end is installed with U-shaped equipment frame, in the fixed laser thunder of equipment frame Up to/millimetre-wave radar, antenna, video camera head etc..Generator bay installs small gasoline/diesel-driven generator, and electricity is provided for system Source, while charge for battery, increases lasting cruise time of unmanned boat, make up pure battery powered cruising time it is short the shortcomings that.
Further scheme, the water monitoring instrument includes conventional five parameter modules, heavy metal analysis module, full spectrum joins more Number Water Test Kits, organic pollution detection module, microorganism detection module, antibiotic detection module.
Further scheme is equipped with gasoline/diesel generator in the catamaran, and the gasoline/diesel generator is to lithium electricity Pond is charged, and the output terminal of the lithium battery is connected with DC-DC converter.
Further scheme, the catamaran are equipped with GPS, electronic compass;The material of the catamaran is fiberglass.
Embodiment 2:
A kind of pollution sources method for tracing for the unmanned boat tracked for water quality monitoring with pollution sources, including being used to detect nobody The full spectrum multiparameter water quality analyzer of pollutant in ship surrounding body, its step are as follows:
1) use full spectrum multiparameter water quality analyzer to using unmanned boat as the center of circle, radius be waters in the range of 10 meters into Row sampling, pollutant monitoring;
It is illustrated in figure 4 the Fingerprint number of the pollution-free normal water quality through the detection of full spectrum multiparameter water quality analyzer According in the absorption spectrum ranges of 200-700nm, the benzene type organic concentration calculated is no more than 0.1ppm, is less than《Life drink With water hygiene standard》National standard is with defined limitation;It is the dirt detected through full spectrum multiparameter water quality analyzer as shown in Figure 5 The Fingerprint data (drinking water ethyl-benzene level standard is 0.3mg/L) of water quality are contaminated, then show that pollutant concentration surpasses in the water quality Cross threshold value.
2) when detecting that pollutant concentration is more than threshold value, current waters fluid velocity is detected by radar wave current meter, And pass through GPS and obtain current geographical location, so that it is determined that the position of unmanned boat and waters flow velocity and flow direction change over time Time-domain signal;
3) full spectrum multiparameter water quality analyzer real-time detection and the plume that water pollutant is spread with waters fluid is obtained Characteristic signal, so that it is determined that the time domain and space-domain signal of the plume of diffusion;It is illustrated in figure 5 each period benzene type organic Real-time concentration, each period mark accurate cross section of river geographical location simultaneously, and pollution sources diffusion plumage can be formed from Fig. 5 The time domain of stream and space-domain signal feature;
4) according to the time domain and space-domain signal of plume in step 3), gridding segmentation is carried out to the polluted water region detected Form cell element;As shown in figure 3, the polluted water region is divided into 13 grids, i.e. 13 cell elements, and the length of side of each grid is 50 Rice, and unmanned boat is in No. 7 grids;
5) according to polluted water region Historical Monitoring database, the initial vector π of Bayesian inference probabilistic algorithm is provided, wherein 0 Then≤π≤1 calculates the probability that each cell element containing pollution sources is detected using probability density function;
6) renewal vector π continues to calculate the probability that pollutant or pollution sources are detected in polluted water region, forms pollutant Probability map;Then pollutant probability map is updated using Bayesian inference, and evaluates whether newer map meets partially Difference requirement;
If 7) newer pollutant probability map meets deviation requirement, new test position point planning chart to be cruised is performed, Pollution sources as shown in Figure 3 are located in No. 13 grid, probability distribution of the cruise route according to pollutant, from grid 7 to grid 13; If not satisfied, re-executing step 5), 6), until meeting the requirements, optimal pollutant probability map is drawn;
8) according to optimal pollutant probability map, the path of tracing to the source of unmanned boat is generated;Then it is current further according to unmanned boat Spatial-domain information and fluid turbulence signal, calculate unmanned boat automatic Pilot path, to pollution sources carry out real-time tracing;
9) during real-time tracing, pollutant probability map must be constantly updated, go forward side by side a successive step and optimization pollution sources Track path;
10) to constantly determining whether the peak of pollution sources plume in pollution sources tracing process, if stopping chasing after Track, then current location is the source of pollution sources;If not step 8), 9) is then continued to execute, until finding pollution sources.
Further scheme, the length of side of cell element described in step 4) are 50 meters of square.
Further scheme, wherein initial vector π=1/M described in step 5), M=n × m, n and m are respectively the length of cell element Degree and width.
Probability density function described in step 5) or step 6) is P (Ai|Dj(tk))=βij(t0, tk), wherein AiFor pollution The contamination accident that source occurs in i-th of cell element, Dj(tk) represent the t in j cell elementskMoment detects the event of pollutant, βij(t0, tk) i cell elements are represented from tiMoment continues diffusion pollution object, and the t in j cell elementskMoment detects the probability of pollutant.
Above-described embodiment is only the preferable embodiment of the present invention, embodiments of the present invention and from above-described embodiment Limitation, it should be appreciated that those skilled in the art can be designed that a lot of other modifications and embodiment, these modifications and implementation Mode will fall within spirit disclosed in the present application and spirit.

Claims (9)

1. a kind of unmanned boat for water quality monitoring and pollution sources tracking, including the binary being made of two enclosures and connecting plate Ship, it is characterised in that:The upper surface of the catamaran is laid with the solar panel that promising lithium battery charges, catamaran top frame Equipped with U-shaped equipment frame, video camera, radar and antenna are installed on the equipment frame;Be respectively equipped on unmanned boat control cabinet, Battery flat, generator bay, water quality sampling cabin and five are used to place the equipment compartment of water quality monitoring instrument.
2. a kind of unmanned boat for water quality monitoring and pollution sources tracking according to claim 1, it is characterised in that:It is described Water monitoring instrument includes conventional five parameter modules, heavy metal analysis module, full spectrum multiparameter water quality analyzer, organic pollution Detection module, microorganism detection module, antibiotic detection module.
3. a kind of unmanned boat for water quality monitoring and pollution sources tracking according to claim 1, it is characterised in that:It is described Gasoline/diesel generator is equipped in catamaran, the gasoline/diesel generator charges to lithium battery, the lithium battery Output terminal is connected with DC-DC converter.
4. a kind of unmanned boat for water quality monitoring and pollution sources tracking according to claim 1, it is characterised in that:It is described Catamaran is equipped with GPS, electronic compass;The material of the catamaran is fiberglass.
5. a kind of unmanned boat for water quality monitoring and pollution sources tracking according to claim 1, it is characterised in that:It is described Five equipment compartments are successively set on water quality sampling cabin in two enclosures;Control cabinet, battery flat and generator bay are set gradually On the connecting plate below solar panel.
6. a kind of pollution sources method for tracing of unmanned boat tracked for water quality monitoring with pollution sources as described in claim 1, Full spectrum multiparameter water quality analyzer including being used to detect pollutant in unmanned boat surrounding body, it is characterised in that:Step is such as Under:
1) full spectrum multiparameter water quality analyzer is used to being that waters in the range of 10 meters takes using unmanned boat as the center of circle, radius Sample, pollutant monitoring;
2) when detecting that pollutant concentration is more than threshold value, current waters fluid velocity is detected by radar wave current meter, and is led to Cross GPS and obtain current geographical location, so that it is determined that the position of unmanned boat and waters flow velocity and flow direction change over time when Domain signal;
3) full spectrum multiparameter water quality analyzer real-time detection and the plume feature that water pollutant is spread with waters fluid is obtained Signal, so that it is determined that the time domain and space-domain signal of the plume of diffusion;
4) according to the time domain and space-domain signal of plume in step 3), gridding is carried out to the polluted water region detected and splits to be formed Cell element;
5) according to polluted water region Historical Monitoring database, the initial vector π of Bayesian inference probabilistic algorithm is provided, wherein 0≤π≤ 1, then the probability that each cell element containing pollution sources is detected is calculated using probability density function;
6) renewal vector π continues to calculate the probability that pollutant or pollution sources are detected in polluted water region, forms pollutant probability Map;Then using Bayesian inference update pollutant probability map, and evaluate newer map whether meet deviation will It asks;
If 7) newer pollutant probability map meets deviation requirement, new test position point planning chart to be cruised is performed, if not Meet, re-execute step 5), 6), until meeting the requirements, draw optimal pollutant probability map;
8) according to optimal pollutant probability map, the path of tracing to the source of unmanned boat is generated;Then further according to the current sky of unmanned boat Between domain information and fluid turbulence signal, calculate unmanned boat automatic Pilot path, to pollution sources carry out real-time tracing;
9) during real-time tracing, pollutant probability map must be constantly updated, go forward side by side a successive step and optimization pollution sources tracking Path;
10) to constantly determining whether the peak of pollution sources plume in pollution sources tracing process, if stopping tracking, then Current location is the source of pollution sources;If not step 8), 9) is then continued to execute, until finding pollution sources.
7. pollution sources method for tracing according to claim 6, it is characterised in that:The length of side of cell element described in step 4) is 50 The square of rice.
8. pollution sources method for tracing according to claim 6, it is characterised in that:Initial vector π=1/ described in step 5) M, wherein M=n × m, n and m are respectively the length and width of cell element.
9. pollution sources method for tracing according to claim 6, it is characterised in that:Probability is close described in step 5) or step 6) Degree function is P (Ai|Dj(tk))=βij(t0, tk), wherein AiFor the contamination accident that pollution sources occur in i-th of cell element, Dj(tk) Represent the t in j cell elementskMoment detects the event of pollutant, βij(t0, tk) i cell elements are represented from tiMoment continues diffusion pollution Object, and the t in j cell elementskMoment detects the probability of pollutant.
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Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108896728A (en) * 2018-07-20 2018-11-27 马明昌 A kind of Intelligent water quality monitoring system based on new energy unmanned boat platform
CN109187380A (en) * 2018-07-25 2019-01-11 北京农业智能装备技术研究中心 A kind of water quality detector, water pollution emission source monitor system and method
CN109470831A (en) * 2018-12-27 2019-03-15 中科院合肥技术创新工程院 A kind of monitoring of Ecology with repair water surface robot and Water Ecological Recovery control method
CN109765350A (en) * 2018-12-29 2019-05-17 钦州学院 A kind of intelligence region drinking water pollution source detection apparatus
CN110255776A (en) * 2019-07-15 2019-09-20 浙江创韵环境科技有限公司 A kind of river restorative procedure
CN110793566A (en) * 2019-10-18 2020-02-14 南京中科智慧生态科技有限公司 Intelligent visual detection method for water floater
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CN113602416A (en) * 2021-08-09 2021-11-05 山东交通学院 Unmanned ship vision perception system
CN114544500A (en) * 2022-02-24 2022-05-27 安徽欣思创科技有限公司 Method and system for measuring total phosphorus in sailing type surface water
TWI774001B (en) * 2020-06-11 2022-08-11 鎮鑫科技股份有限公司 Intelligent water quality monitoring system
WO2022217734A1 (en) * 2021-04-14 2022-10-20 齐鲁工业大学 Water quality monitoring device based on microbial fuel cell
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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN203688548U (en) * 2014-01-27 2014-07-02 贵州省环境监控中心 Continuous automatic monitoring analysis system of water quality multi-parameter float
CN105129063A (en) * 2015-08-26 2015-12-09 中国科学院合肥物质科学研究院 Wind-energy and luminous energy complementation water surface robot
CN105137993A (en) * 2015-09-09 2015-12-09 广州睿航电子科技有限公司 Pollution source tracking method and system used for unmanned ship
CN105242023A (en) * 2015-11-10 2016-01-13 四方继保(武汉)软件有限公司 Unmanned ship achieving multi-function monitoring of water area
CN105242022A (en) * 2015-11-02 2016-01-13 北斗天汇(上海)科技有限公司 Beidou navigation twin-hull boat for intelligent water quality monitoring
CN106405040A (en) * 2016-11-17 2017-02-15 苏州航天***工程有限公司 Unmanned-device-based water quality patrolling, contaminant originating system and method thereof
CN106672168A (en) * 2017-01-21 2017-05-17 上海海洋大学 Automatic cruise water quality monitoring ship
CN207992184U (en) * 2018-01-12 2018-10-19 中国科学院合肥物质科学研究院 A kind of unmanned boat for water quality monitoring and pollution sources tracking

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN203688548U (en) * 2014-01-27 2014-07-02 贵州省环境监控中心 Continuous automatic monitoring analysis system of water quality multi-parameter float
CN105129063A (en) * 2015-08-26 2015-12-09 中国科学院合肥物质科学研究院 Wind-energy and luminous energy complementation water surface robot
CN105137993A (en) * 2015-09-09 2015-12-09 广州睿航电子科技有限公司 Pollution source tracking method and system used for unmanned ship
CN105242022A (en) * 2015-11-02 2016-01-13 北斗天汇(上海)科技有限公司 Beidou navigation twin-hull boat for intelligent water quality monitoring
CN105242023A (en) * 2015-11-10 2016-01-13 四方继保(武汉)软件有限公司 Unmanned ship achieving multi-function monitoring of water area
CN106405040A (en) * 2016-11-17 2017-02-15 苏州航天***工程有限公司 Unmanned-device-based water quality patrolling, contaminant originating system and method thereof
CN106672168A (en) * 2017-01-21 2017-05-17 上海海洋大学 Automatic cruise water quality monitoring ship
CN207992184U (en) * 2018-01-12 2018-10-19 中国科学院合肥物质科学研究院 A kind of unmanned boat for water quality monitoring and pollution sources tracking

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
SHUO PANG ET AL.: "Chemical Plume Source Localization", IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, vol. 36, no. 5, pages 1068 - 1078 *

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Publication number Priority date Publication date Assignee Title
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