CN105954282B - A kind of water turbidity detection device and method based on underwater observation net - Google Patents
A kind of water turbidity detection device and method based on underwater observation net Download PDFInfo
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- CN105954282B CN105954282B CN201610289160.1A CN201610289160A CN105954282B CN 105954282 B CN105954282 B CN 105954282B CN 201610289160 A CN201610289160 A CN 201610289160A CN 105954282 B CN105954282 B CN 105954282B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
- G01N2021/0106—General arrangement of respective parts
- G01N2021/0112—Apparatus in one mechanical, optical or electronic block
Abstract
The invention discloses a kind of water turbidity detection device and method based on underwater observation net, which includes calibration subsystem, light source subsystem, image acquisition subsystem and image processing subsystem.Wherein, calibration subsystem is used for the calibration of turbidity, and fits turbidity T and shoot the relational expression between image rgb value;Light source subsystem controls the keying of monochromatic LED light source, and control wiper and periodically clean light source eyeglass outer surface for generating monochromatic light;Image acquisition subsystem is used for the acquisition of water body image, and controls wiper and periodically clean camera eyeglass outer surface;Image processing subsystem is used to handle the image information of CCD camera shooting and the fit correlation formula obtained according to calibration subsystem calculates turbidity.The present invention method can simultaneously the multiple nodes of on-line real-time measuremen underwater observation net water turbidity, realize water turbidity detection automation and intelligence.
Description
Technical field
The present invention designs a kind of water turbidity detection device and method based on underwater observation net, belongs to underwater observation net neck
Domain.
Background technology
Traditional water quality research method can only be from ground or the lake from the water surface of going by ship, with satellite remote sensing skill
The development of art can also be observed water body from the air, but these methods all can only obtain the fragmentary data of water surface.Under water
Observational network is made of the various instrument and equipments being laid on water-bed cable, fiber optic network and the network, it overcomes equipment
The problem of power supply and communication, the three-dimensional continuous observation to water body may be implemented.
Ccd image sensor invention can convert optical image to digital signal, by decades in 19 century 70s
Development, the camera performance based on ccd image sensor is very excellent.In conjunction with computer vision treatment technology, CCD takes the photograph
Camera can realize acquisition, storage, transmission, processing and the reproduction of image.By the way that computer vision treatment technology is seen with underwater
Survey grid technology combines, and can achieve the effect that on-line real time monitoring water turbidity.
Invention content
The purpose of the present invention is the limitations for existing water turbidity detection technique, provide a kind of based on underwater observation net
Water turbidity detection device and method, using computer vision technique, and pass through underwater observation net and transmit electric energy and data, it is real
Now to the on-line real time monitoring of water turbidity.
In order to solve the above technical problems, the technical solution used in the present invention is:A kind of water body based on underwater observation net
Turbidity detection device, including:Demarcate subsystem, light source subsystem, image acquisition subsystem, image processing subsystem;Wherein:
It includes computer, video server and light resistant container to demarcate subsystem, and video server is connected with computer, institute
There is the calibration of turbidity to be carried out in light resistant container;
Light source subsystem includes the light source closed cavity and monochromatic LED light source being placed in the cavity, stepper motor and LED
Lamp and circuit for controlling motor are equipped with observation window, observation window that material is transparent glass on cavity and are externally provided with wiper, wiper
It is connected on stepping motor rotating shaft and is driven by stepper motor;
Image acquisition subsystem includes the colourful CCD video camera with wiper;
Image processing subsystem include plug into box cavity and be sequentially connected the machine of base station epigyny on the bank, base station exchange on the bank
Machine, optical cable terminal, box cavity of plugging into are built-in with box interchanger of plugging into, box video server of plugging into, DC-DC electric pressure converters,
Box cavity of plugging into is connected by optoelectronic composite cable with optical cable terminal.
Using the method that above-mentioned device carries out water turbidity detection, include the following steps:
S1, calibrating platform, computer and video server are built on the coast by network cable transmission data, CCD camera
The input terminal of output termination video server;
S2, a series of turbid that turbidity are configured using the standard turbid and zero Turbidity Water that turbidity is 400NTU;
After S3, the on the coast parameter of setting CCD camera and shooting distance, in light resistant container using light source subsystem and
Image acquisition subsystem carries out turbidity calibration, i.e., the light that CCD camera shooting monochromatic LED light source is sent out is through the turbid of different turbidity
Image after liquid;
S4, image enhancement processing is carried out to the image that CCD camera is shot using computer, first carries out medium filtering noise reduction
To remove impulsive noise, then average noise reduction is carried out to remove random noise;
S5, the rgb value for calculating image after above-mentioned processing;
S6, using turbid turbidity value as abscissa, the B values of image and the difference of G values are ordinate, are drawn;
S7, according to image matched curve, the return to step S3 if degree of fitting is less than 0.8;
S8, the relational expression for obtaining turbidity and image (B-G) value;
S9, the plugging on box cavity mounted on underwater observation net by light source subsystem and image acquisition subsystem, and ensure
It is consistent when the parameter and shooting distance of CCD camera and on the bank calibration;
S10, on the bank base station epigyny machine send out operating instruction, and CCD camera and LED light source are powered, start to test underwater water
Body turbidity;
The image that S11, CCD camera are shot is transferred to by Ethernet and is connect after box video server processing of plugging into
Box interchanger is refuted, image information is uploaded to optical cable terminal by box interchanger of plugging by optoelectronic composite cable, is further transmitted to
Base station exchange machine on the bank, on the bank base station epigyny machine pass through the network port receive the image data from base station exchange machine on the bank;
S12, on the bank base station epigyny machine carry out image enhancement processing to the image data of acquisition, first carry out medium filtering noise reduction
To remove impulsive noise, then average noise reduction is carried out to remove random noise;
The rgb value of image after step is handled on S13, calculating, and the fit correlation formula obtained according to step S8 calculates accordingly
Turbidity value;
If S14, base station epigyny machine sends out and ceases and desist order on the bank, detection device power-off is out of service, otherwise returns to step
Rapid S11 continues real-time testing.
Underwater observation net is utilized under water in the water turbidity detection device and method based on underwater observation net of the present invention
Electric energy and data transmission channel, and water body image shoot according to CCD camera using computer vision technique is calculated and is discharged
Body turbidity, can simultaneously the multiple nodes of on-line real-time measuremen underwater observation net water turbidity, realize water turbidity detection from
Dynamicization and intelligence.
Description of the drawings
Fig. 1 is the structural schematic diagram of apparatus of the present invention;
Fig. 2 is the flow chart of the method for the present invention;
In figure:1. computer, 2. video servers, 3. light resistant containers, 4. base station epigyny machines on the bank, 5. base station exchanges on the bank
Machine, 6. optical cable terminals, 7. optoelectronic composite cables, 8. plug into box interchanger, and 9. plug into box video server, and 10.DC-DC voltages turn
Parallel operation, 11. plug into box cavity, 12. video camera bindiny mechanisms, 13. colourful CCD video cameras, 14. wipers, 15. stepper motors,
16. light source seal cavity, 17.LED lamps and circuit for controlling motor, 18. monochromatic LED light sources, 19. light source bindiny mechanisms, 20. observations
Window.
Specific implementation mode
Present invention will be described in further detail below with reference to the accompanying drawings.
Referring to Fig.1,2, a kind of water turbidity detection device based on underwater observation net of the invention, including:Demarcate subsystem
System, light source subsystem, image acquisition subsystem, image processing subsystem;Wherein:
Calibration subsystem includes computer 1, video server 2 and light resistant container 3, video server 2 and 1 phase of computer
Even, the calibration of all turbidity carries out in light resistant container 3;
Light source subsystem includes light source closed cavity 16 and the monochromatic LED light source being placed in the cavity 18, stepper motor 15
And LED light and circuit for controlling motor 17, it is equipped with observation window 20, observation window 20 that material is transparent glass on cavity and is externally provided with
Wiper 14, wiper 14 are connected in 15 shaft of stepper motor and are driven by stepper motor;Light source subsystem is for generating stabilization
Monochromatic light, controls the keying of monochromatic LED light source, and controls wiper and periodically clean light source eyeglass outer surface;
Image acquisition subsystem includes the colourful CCD video camera 13 with wiper;
Image processing subsystem include plug into box cavity 11 and be sequentially connected the machine of base station epigyny on the bank 4, on the bank base station hand over
It changes planes 5, optical cable terminal 6, box cavity 11 of plugging into is built-in with box interchanger 8 of plugging into, box video server 9 of plugging into, DC-DC voltages
Converter 10, box cavity 11 of plugging into are connected by optoelectronic composite cable 7 with optical cable terminal.
Using the method that device as described above carries out water turbidity detection, include the following steps:
S1, calibrating platform is built on the coast, computer 1 and video server 2 pass through network cable transmission data, CCD camera
The input terminal of 13 output termination video server 2;
S2, a series of turbid that turbidity are configured using the standard turbid and zero Turbidity Water that turbidity is 400NTU;
After S3, the on the coast parameter of setting CCD camera 13 and shooting distance, light source subsystem is utilized in light resistant container 3
System and image acquisition subsystem carry out turbidity calibration, i.e. CCD camera 13 shoots the light that monochromatic LED light source 18 is sent out and penetrates difference
Image after the turbid of turbidity;
If S4, fogging image, cannot be satisfied photographing request, step S3 is can return to, camera parameters is readjusted and claps again
It takes the photograph;Otherwise the image shot to CCD camera 13 using computer carries out image enhancement processing, first carry out medium filtering noise reduction with
Impulsive noise is removed, then carries out average noise reduction to remove random noise;
S5, the rgb value for calculating image after above-mentioned processing;
S6, using turbid turbidity value as abscissa, the B values of image and the difference of G values are ordinate, are drawn;
S7, according to image matched curve, the return to step S3 if degree of fitting is less than 0.8;
S8, the relational expression for obtaining turbidity and image B-G values;
Light source subsystem and image acquisition subsystem, are mounted on the box chamber of plugging into of underwater observation net by S9, as shown in fig. 1
On body 11, i.e., CCD camera is connected in by video camera bindiny mechanism 12 and is plugged on box cavity, light source seal cavity is passed through
Light source link mechanism 19, which is connected in, plugs on box cavity, and ensures the parameter of CCD camera 13 and shooting distance and demarcate on the bank
When be consistent;
S10, on the bank base station epigyny machine 4 send out operating instruction, and CCD camera 13 and LED light source 18 are powered, and start to test water
Lower water turbidity;
The image that S11, CCD camera 13 are shot is transferred to after box video server 9 of plugging into is handled by Ethernet
It plugs into box interchanger 8, image information is uploaded to optical cable terminal 6 by box interchanger 8 of plugging by optoelectronic composite cable 7, further
It is transmitted to base station exchange machine 5 on the bank, base station epigyny machine 4 receives the figure from base station exchange machine 5 on the bank by the network port on the bank
As data;
S12, on the bank base station epigyny machine 4 carry out image enhancement processing to the image data of acquisition, first carry out medium filtering drop
It makes an uproar to remove impulsive noise, then carries out average noise reduction to remove random noise;
The rgb value of image after step is handled on S13, calculating, and the fit correlation formula obtained according to step S8 calculates accordingly
Turbidity value;
If S14, base station epigyny machine 4 sends out and ceases and desist order on the bank, detection device power-off is out of service, otherwise returns
Step S11 continues real-time testing.
Claims (1)
1. a kind of method that the water turbidity detection device based on underwater observation net carries out water turbidity detection, the device packet
It includes:Demarcate subsystem, light source subsystem, image acquisition subsystem, image processing subsystem;Wherein:
It includes computer to demarcate subsystem(1), video server(2)And light resistant container(3), video server(2)With computer
(1)It is connected, the calibration of all turbidity is in light resistant container(3)Interior progress;
Light source subsystem includes light source closed cavity(16)And it is placed in the monochromatic LED light source in the cavity(18), stepper motor
(15)And LED light and circuit for controlling motor(17), the observation window that material is transparent glass is equipped on cavity(20), observation window
(20)It is externally provided with wiper(14), wiper(14)It is connected to stepper motor(15)It is driven by stepper motor in shaft;
Image acquisition subsystem includes the colourful CCD video camera with wiper(13);
Image processing subsystem includes box cavity of plugging into(11)And the base station epigyny machine on the bank being sequentially connected(4), on the bank base station hand over
It changes planes(5), optical cable terminal(6), box cavity of plugging into(11)It is built-in with box interchanger of plugging into(8), box video server of plugging into
(9), DC-DC electric pressure converters(10), box cavity of plugging into(11)Pass through optoelectronic composite cable(7)It is connected with optical cable terminal;It is special
Sign is that this approach includes the following steps:
S1, calibrating platform, computer are built on the coast(1)And video server(2)By network cable transmission data, colored CCD is taken the photograph
Camera(13)Output terminate video server(2)Input terminal;
S2, a series of turbid that turbidity are configured using the standard turbid and zero Turbidity Water that turbidity is 400NTU;
S3, colourful CCD video camera is set on the coast(13)Parameter and shooting distance after, in light resistant container(3)It is interior to utilize light source
Subsystem and image acquisition subsystem carry out turbidity calibration, i.e. colourful CCD video camera(13)Shoot monochromatic LED light source(18)It sends out
Light through different turbidity turbid after image;
S4, using computer to colourful CCD video camera(13)The image of shooting carries out image enhancement processing, first carries out medium filtering
Noise reduction is to remove impulsive noise, then carries out average noise reduction to remove random noise;
S5, the rgb value for calculating image after above-mentioned processing;
S6, using turbid turbidity value as abscissa, the B values of image and the difference of G values are ordinate, are drawn;
S7, according to image matched curve, the return to step S3 if degree of fitting is less than 0.8;
S8, the relational expression for obtaining turbidity and image B-G values;
S9, the box cavity of plugging into that light source subsystem and image acquisition subsystem are mounted on to underwater observation net(11)On, and ensure
Colourful CCD video camera(13)Parameter and shooting distance and on the bank demarcate when be consistent;
S10, on the bank base station epigyny machine(4)Send out operating instruction, colourful CCD video camera(13)And monochromatic LED light source(18)It is powered,
Start to test underwater water turbidity;
S11, colourful CCD video camera(13)The image of shooting is by box video server of plugging into(9)After processing, passed by Ethernet
It is defeated by box interchanger of plugging into(8), box interchanger of plugging into(8)Image information is passed through optoelectronic composite cable(7)It is uploaded to optical cable end
End(6), it is further transmitted to base station exchange machine on the bank(5), base station epigyny machine on the bank(4)It is received from the bank by the network port
Base station exchange machine(5)Image data;
S12, on the bank base station epigyny machine(4)Image enhancement processing is carried out to the image data of acquisition, first carries out medium filtering noise reduction
To remove impulsive noise, then average noise reduction is carried out to remove random noise;
On S13, calculating after step processing image rgb value, and the fit correlation formula obtained according to step S8 calculate it is corresponding turbid
Angle value;
If S14, on the bank base station epigyny machine(4)It sends out and ceases and desist order, then detection device powers off, out of service, otherwise returns to step
Rapid S11 continues real-time testing.
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CN108801923A (en) * | 2018-08-21 | 2018-11-13 | 河北科技师范学院 | A kind of optics original position water quality detection system |
CN110118788A (en) * | 2019-04-30 | 2019-08-13 | 东南大学 | Submerged structure Defect inspection contact visual sensing equipment and image processing method |
CN110160978A (en) * | 2019-06-18 | 2019-08-23 | 深圳市水务(集团)有限公司 | A kind of detection system and detection method of the comprehensive organoleptic indicator of drinking water |
CN110672524A (en) * | 2019-10-22 | 2020-01-10 | 浙江卓锦环保科技股份有限公司 | Water body turbidity detection method suitable for intelligent water environment |
CN112067517A (en) * | 2020-09-11 | 2020-12-11 | 杭州市地下管道开发有限公司 | Intelligent monitoring method, equipment and system for river and lake water body and readable storage medium |
CN112505002B (en) * | 2020-11-26 | 2023-05-12 | 中国科学院苏州生物医学工程技术研究所 | Solution turbidity detection method, medium and image system based on RGB model |
CN117723513A (en) * | 2024-02-08 | 2024-03-19 | 清华大学 | Water quality detection method, device, equipment, storage medium and program product |
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