CN103175792B - Water environment monitoring device based on machine vision - Google Patents
Water environment monitoring device based on machine vision Download PDFInfo
- Publication number
- CN103175792B CN103175792B CN201310087572.3A CN201310087572A CN103175792B CN 103175792 B CN103175792 B CN 103175792B CN 201310087572 A CN201310087572 A CN 201310087572A CN 103175792 B CN103175792 B CN 103175792B
- Authority
- CN
- China
- Prior art keywords
- water
- measuring tube
- water surface
- image
- video camera
- 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.)
- Active
Links
Landscapes
- Measurement Of Levels Of Liquids Or Fluent Solid Materials (AREA)
- Length Measuring Devices By Optical Means (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The invention relates to a water environment monitoring device. The water environment monitoring device comprises a measuring pipe, a digital image acquiring unit and a computer, wherein a lower end port of the measuring pipe is suitable for being inserted into water, a camera is arranged right above an upper end port of the measuring pipe and is suitable for being used for shooting a water image in the measuring pipe; the digital image acquiring unit is connected with the camera and is suitable for being used for converting an acquired image into a digital image; the computer is connected with the digital image acquiring unit and is used for storing first sample data; the first sample data are suitable for being used for recording grey levels of various kinds of water qualities; the computer is suitable for being used for carrying out grey processing on the digital image in order to gain the grey value of the water image; and the water quality condition can be gained by comparing the grey value with the first sample data. The measuring pipe is a tapered pipe, and one end, with a smaller opening, of the measuring pipe is placed above, and thus the proportion of the inner wall of the measuring pipe in the image acquired by the camera can be reduced in the whole image, and as a result, the reliability of the grey processing can be improved. The computer is a PC (Personal Computer) or a tablet personal computer.
Description
Technical field
The present invention relates to a kind of water environment monitoring device realized based on image vision treatment technology, specifically a kind of water level and water monitoring device.
Background technology
Existing Level monitor can only be independent sensed water level or water quality, namely cannot implement water level, water quality is monitored simultaneously.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of water environment monitoring device being suitable for carrying out water quality measurement, this water environment monitoring device adopts gray scale detection principle to carry out water quality monitoring, namely carries out gray proces to the water surface image of shooting and obtains the gray-scale value of this water surface image to obtain water quality situation.
The invention provides a kind of water environment monitoring device, comprise: the measuring tube distributed up and down during use, its lower port is provided with lighting device and enters the water surface in use, and the upper port place of measuring tube establishes a video camera, and this video camera is suitable for the water surface image taken in described measuring tube; Digital image acquisition units, is connected with described video camera, is suitable for the image gathered to be transformed to digital picture; The computing machine be connected with described digital image acquisition units, this Computer Storage has the first sample data, and described first sample data is suitable for the gray-scale value recording various water quality; Described first sample data is measured one by one water that is known, different quality by described water regime monitoring system and obtains; Described computing machine is suitable for carrying out gray proces to described digital picture, and to obtain the gray-scale value of described water surface image, this gray-scale value and the first sample data are compared and drawn water quality situation.
Described computing machine is PC or panel computer.
Preferred as one, described measuring tube is tapered tube, and one end that opening is less is in top, with the ratio of whole image shared by the inwall reducing measuring tube in image that video camera obtains, to improve the reliability of gray proces.
Further, in order to avoid ambient light during shooting is on the impact of water surface image, the inwall of described measuring tube is provided with and is suitable for light-absorbing coating.
Further, in order to avoid ambient light water-bed during shooting is on the impact of water surface image, and keep current unimpeded when not taking, to make the water quality in described measuring tube consistent with actual water quality, described measuring tube is distributed with multiple through hole on the tube wall being positioned at underwater side, and the bottom end closure of this measuring tube, enter in measuring tube to prevent veiling glare; Sheathed one sleeve pipe being distributed with through hole on body below the water surface; The rotating mechanism that described sleeve pipe and is suitable for driving this sleeve pipe to rotate around described measuring tube is in transmission connection, this rotating mechanism is controlled by the controller that is connected with described video camera, when not filming surface image, controlling described rotating mechanism drives sleeve rotating to make the through hole on described measuring tube relative respectively with the through hole on sleeve pipe, is suitable for passing in and out described measuring tube to make current; When filming surface image, control described rotating mechanism and drive sleeve rotating to offset one from another to make the through hole on described measuring tube and the through hole on sleeve pipe, enter described measuring tube to prevent extraneous light.
Further, in order to realize the level measuring to described water environment monitoring device, described measuring tube is fixedly installed; Video camera adopts focusing wide angle camera lens, or tight shot.
Described computing machine also stores the second sample data, and this second sample data is suitable for the pixel value of the water surface image recorded in described measuring tube and the corresponding table of video camera distance water surface elevation or calculating formula; Described computing machine is also suitable for the pixel value of the water surface image calculated in the described measuring tube of current shooting, and the height of the current camera distance water surface is drawn by described second sample data, then the setting height(from bottom) of described video camera is deducted the height of the described video camera distance water surface, namely obtain water level value.
As further preferred embodiment, described video camera is fixed on described measuring tube, and the upper port of this measuring tube is closed, and enters this measuring tube to avoid extraneous light from upper port.
In order to make video camera when taking, be more prone to the edge distinguishing water surface image, float in white pipe is also comprised in described measuring tube, in this pipe, float is the column structure of the center through hole with vertical setting, described image mechanism is suitable for the water surface image taken in described center through hole, and in this pipe, float is suitable for fluctuating in described measuring tube with the water surface.
Further, in order to realize the level measuring to described water environment monitoring device, the outer of described measuring tube is arranged with the float being suitable for this measuring tube is bubbled through the water column; Described water environment monitoring device also comprises: flexible scale, and one end of this flexible scale is fixed on the bottom, and the other end and is suitable for rolling, strain the wrap-up of this flexible scale is connected, and this wrap-up is fixed on described measuring tube; Angle sheave, be located on the inwall of described measuring tube, on the inwall of this measuring tube, the upper and lower of contiguous described angle sheave is respectively equipped with the upper and lower guide pole parallel with the wheel shaft of described angle sheave, described flexible scale is suitable for passing from the gap of the inwall of described upper and lower guide pole and measuring tube respectively and being fitted on the inner side wheel face of described angle sheave, and the top of described angle sheave is in above the water surface.Adopt flexible scale, be suitable for making measuring tube vertically bubble through the water column on the parts such as float, angle sheave, described water environment monitoring device can be swum on the water surface, described video camera obtains the reading of the flexible scale at the top of contiguous described angle sheave, after image recognition, error correction, obtain actual water level value.The method of described error correction is: by the reading of described flexible scale obtained by image recognition, subtracts each other, namely obtain actual water level value with the corrected value preset.Described default corrected value obtains by experiment.
Present invention also offers a kind of measuring method being suitable for water level and water quality monitoring, the technical matters that the method will solve is that the water surface image utilizing video camera to take carries out respective handling to obtain the gray-scale value of water surface image and area pixel value to obtain corresponding water quality and water level conditions.
The method of work of above-mentioned water environment monitoring device, comprises the steps:
(1) water surface is fixed with measuring tube, its lower port is suitable for entering the water surface, and upper port place establishes a video camera, and the water surface image in described measuring tube taken by this video camera;
(2) described water surface image is converted to digital picture by digital image acquisition units;
(3) first, second sample data is stored in the computing machine be connected with described digital image acquisition units, described first sample data is suitable for the gray-scale value recording various water quality, and described second sample data is suitable for the pixel value of the water surface image recorded in described measuring tube and the corresponding table of video camera distance water surface elevation or calculating formula;
(4) described computing machine carries out gray proces to described digital picture, and to obtain the gray-scale value of described water surface image, this gray-scale value and the first sample data are compared, and draw water quality situation;
(5) described Computer calculates the pixel value of the water surface image in the described measuring tube of current shooting, and the height of the current camera distance water surface is drawn by described second sample data, then the setting height(from bottom) of described video camera is deducted the height of the described video camera distance water surface, namely obtain water level value.
Further, in order to extract the area pixel value of water surface image more easily, described step (5) comprising:
A: described digital picture, after gray proces, adopts MATLAB function to carry out Threshold segmentation process to extract the edge of water surface image;
B: Calling MATLAB built-in function bwarea, the area pixel value of the water surface image after extracting with edge calculation.
Compared with prior art, tool of the present invention has the following advantages: (1) the present invention passes through water surface image to obtain the corresponding situation of water quality, device is simple, carries out water quality measurement easily or anticipation, without the need to tedious steps when being convenient in the wild or unconditionally carrying out water quality test; (2) water surface image taken in the measuring tube closed not easily receives the impact of extraneous light, and it is more accurate to measure; (3) the present invention is while acquisition water quality information, obtain the size of the water surface image in image, and according to measuring the distance relation between water surface image size and video camera obtained in advance, to obtain water level, and then achieve water level, water quality monitoring, easy to use.
Accompanying drawing explanation
In order to make content of the present invention be more likely to be clearly understood, below basis specific embodiment and by reference to the accompanying drawings, the present invention is further detailed explanation, wherein
The structural representation of Fig. 1 water environment monitoring device of the present invention.
The connection diagram of Fig. 2 rotating mechanism of the present invention, controller, video camera;
A kind of embodiment of Fig. 3 rotating mechanism of the present invention;
The another kind of embodiment of Fig. 4 rotating mechanism of the present invention;
The structure vertical view of each gag lever post in the another kind of embodiment of Fig. 5 rotating mechanism of the present invention;
The structural representation for water level detection part of Fig. 6 water level detecting system of the present invention.
Embodiment
Embodiment one
As Fig. 1, a kind of water environment monitoring device, comprising: measuring tube 1, and its lower port is provided with lighting device and this lower port is suitable for entirety and enters the water surface 2 in use, upper port place establishes a video camera, and this video camera is suitable for the water surface image 2-1 taken in described measuring tube 1; Digital image acquisition units, is connected with described video camera and is suitable for collection image to be transformed to digital picture; The computing machine be connected with described digital image acquisition units, this Computer Storage has the first sample data, and described first sample data is suitable for the gray-scale value recording various water quality; Described first sample data is measured one by one water that is known, different quality by described water regime monitoring system and obtains; Described computing machine is suitable for carrying out gray proces to described digital picture, and to obtain the gray-scale value of described water surface image 2-1, this gray-scale value and the first sample data are compared and drawn water quality situation.
Water quality detection principle utilizes the gray-scale value of different quality corresponding gray-scale value sample and water surface image to be detected to compare, and namely Computer Storage has each gray-scale value sample of different quality, i.e. the first sample data.
Adopt MATLAB built-in function to carry out corresponding gray-scale value process to described water surface image 2-1, step is as follows:
I=imread (' image.jpg '); % opens pending picture (8 gray scales)
Imshow (I); % shows this picture
C=mean2 (I); The mean value of % computed image picture element matrix
The gray-scale value of described water surface image 2-1 just can be calculated by mean2 function.
Table 1 is the average gray value of various water quality, i.e. the first sample data:
According to general general knowledge, the water quality quality of these water samples can arrange like this: pure water > green tea water > swimming-pool water > river > is mixed with the water > industrial waste water ≈ prepared Chinese ink water of water > by dye discoloration of mud, when water body sampled images gray-scale value (brightness value) more hour, can think that its water quality is poorer, vice versa.Thus when water quality detection, by calculating corresponding water quality conclusion to water body overall gray level, can also be able to pass through the more senior process means such as sample extraction, neural network, pattern-recognition, accomplishing the water-quality guideline of the more refinement such as detection turbidity.
Such as, if the gray scale of the water surface image 2-1 detected is 85, then show that the water quality of this water quality and river is suitable.
In order to avoid extraneous light is on the impact of water surface image 2-1, described video camera and upper port are tightly connected, and the inwall of described measuring tube 1 is provided with and is suitable for light-absorbing black coating.
See Fig. 2, in order to avoid light under water on the impact of shooting further, to improve the brightness of water surface image 2-1, the accuracy of colourity of shooting, described measuring tube 1 is distributed with multiple through hole being positioned on the tube wall below the water surface 2, and the bottom end closure of this measuring tube 1; The sheathed one sleeve pipe 8-1 being distributed with through hole on body below the water surface 2; The rotating mechanism that described sleeve pipe 8-1 and is suitable for driving this sleeve pipe 8-1 to rotate around described measuring tube 1 is in transmission connection, this rotating mechanism is controlled by the controller that is connected with described video camera, when not filming surface image 2-1, control described rotating mechanism and drive sleeve pipe 8-1 to rotate to make the through hole on described measuring tube 1 and the through hole on sleeve pipe 8-1 coincide to be suitable for current circulation; When filming surface image 2-1, control described rotating mechanism and drive sleeve pipe 8-1 to rotate to make the through hole on described measuring tube 1 and the through hole on sleeve pipe 8-1 offset one from another, enter described measuring tube 1 to prevent extraneous light.
Described rotating mechanism controls the embodiment that sleeve pipe rotates around described measuring tube 1:
See Fig. 3, annular seal space 8-2 is formed between the lower surface, bottom of described measuring tube 1 and the upper surface, bottom of sleeve pipe 8-1, sealing chamber 8-2 is to play waterproof action, a stepper motor 8-3 is provided with in the 8-2 of sealing chamber, by stepper motor 8-3, can rotational angle be set, the through hole in described measurement 1 and the through hole on sleeve pipe 8-1 is made to coincide or offset one from another (through hole is not shown in FIG.), the support of stepper motor 8-3 is fixed on the lower surface, bottom of described measuring tube 1, and the center of this support is corresponding with the center of lower surface, described bottom, namely coaxial, rotating shaft one end of described stepper motor 8-3 is connected to drive sleeve pipe 8-1 to rotate around described measuring tube 1 with the upper surface, bottom of described sleeve pipe 8-1, this stepper motor 8-3 is controlled by controller.
Also rotating shaft one end of stepper motor 8-3 can be fixed on the lower surface, bottom of described measuring tube 1, support is coaxially fixed on the upper surface, bottom of described sleeve pipe 8-1, when stepper motor 8-3 rotates, because rotating shaft is fixed, can not rotate, then support will rotate, and namely support drives sleeve pipe 8-1 to rotate around described measuring tube 1.
See Fig. 4, in described annular seal space 8-2, motor 8-4 can also be installed, the support of motor 8-4 is fixed on the lower surface, bottom of described measuring tube 1, and bottom this center of lower surface and the center of this support corresponding, namely coaxial, rotating shaft 8-5 one end of described motor 8-4 is connected with the upper surface, bottom of described sleeve pipe 8-1, because motor 8-4 is difficult to the angle controlling rotation when rotating, so be provided with a spacing cross bar 8-6 on the rotating shaft 8-5 of described motor 8-4, in the upper surface, bottom of described sleeve pipe 8-1, two pairs of gag lever posts are installed, described spacing cross bar 8-6 is embedded in described two pairs of gag lever posts (namely first, second gag lever post is a pair, 3rd, 4th gag lever post is a pair) between, when described motor 8-4 rotates, described sleeve pipe 8-1 is driven to rotate around described measuring tube 1, two pairs of gag lever posts define the anglec of rotation of motor 8-4.
See Fig. 5, specific works process, if when described spacing cross bar 8-6 two ends are in the second gag lever post 8-7b, the 3rd gag lever post 8-7c place, through hole on described measuring tube 1 and the through hole on sleeve pipe 8-1 coincide, when described spacing cross bar 8-6 two ends are in the first gag lever post 8-7a, the 4th gag lever post 8-7d place, through hole on described measuring tube 1 and the through hole on sleeve pipe 8-1 offset one from another, and enter measuring tube 1 to prevent light.
When video camera prepares shooting, when motor 8-4 control rotating shaft 8-5 drives spacing cross bar 8-6 to rotate to the first gag lever post 8-7a and the 4th gag lever post 8-7d place, motor 8-4 quits work, at this moment the through hole on described measuring tube 1 and the through hole on sleeve pipe 8-1 offset one from another, described measuring tube 1 is entered to prevent extraneous light, video camera is taken, take complete, motor 8-4 reverses, when described spacing cross bar 8-6 rotates to the second gag lever post 8-7b and the 3rd gag lever post 8-7c place, through hole on described measuring tube 1 and the through hole on sleeve pipe 8-1 are coincide, current are circulated.
In certain this scheme, gag lever post also can utilize stopper slot to substitute, and the width of rebate of this stopper slot is greater than described spacing cross bar 8-6.
Embodiment two
On the basis of embodiment one, the technical scheme of carrying out the measurement of water level is as follows:
Described measuring tube 1 is fixedly installed, and described video camera is fixedly installed in the upper port of described measuring tube 1; Described computing machine also stores the second sample data, and this second sample data is suitable for recording each area pixel value of water surface image 2-1 and the respective heights of the video camera distance water surface, the corresponding relation namely between each area pixel value and the spacing of video camera and the water surface 2; Described computing machine is also suitable for the area pixel value calculating described water surface image 2-1, this area pixel value and the second sample data are compared, draw the height of the video camera distance water surface 2, the setting height(from bottom) of described video camera deducts the height of the described video camera distance water surface 2 to obtain water level value.
The setting height(from bottom) of described video camera can be known in advance and be pre-stored in described computing machine, also can carry out measurement by instruments such as scales of the prior art and draw.
Camera height can also be achieved by the following scheme measure, the program comprises: flexible scale, be suitable for rolling, strain the wrap-up of this flexible scale, this wrap-up and camera horizon are arranged, described wrap-up is driven by a micro-step motor, this motor is suitable for when scale end thereof contacts (diminishes if current of electric is instantaneous to stopping release scale time water-bed, then judge that the end thereof contacts of scale is to water-bed), simultaneously by the number of turns of driven by motor wrap-up rotation under a sensor record, and this sensor inputs to a control module the corresponding number of turns, this control module obtains the true altitude of video camera by the corresponding number of turns.
Level measuring ultimate principle is according to the image-forming principle of object in eye; That is, target is far away, look at less, for video, the picture of video camera, camera shooting, is like this equally.So, video camera is fixed on measuring tube 1 upper port and takes water surface image 2-1 in measuring tube 1 vertically downward.Along with the change up and down of water level, namely the relative distance of water level and video camera there occurs change, and this change is presented as the change of picture size shared by water surface image 2-1 in clapped water surface image 2-1.Therefore, by the size of water surface image 2-1 in computed image, the water surface 2 and the relative distance of video camera can be judged, because camera position is fixing, thus can converse water level.
This invention and application number 200910232679.6, name is called " water level measurement system and method based on image vision ".Scheme compare, (1) structure that has the following advantages is more simple, without the need to just carrying out water stage measurement by float; (2) error is little, because float is being bubbled through the water column, therefore when taking, the height of the projection of the float of shooting is not the height of actual water level, slightly higher than actual water level, this is just present in error, and various water quality density is different, causes the height difference that float is bubbled through the water column, need to carry out error revision, carried out trouble to water level measuring tape, but the present invention directly carries out level measuring by water surface image 2-1, overcomes above-mentioned defect.
Float in pipe is also comprised in described measuring tube 1, in this pipe, float is the column structure of the center through hole with vertical setting, described image mechanism is suitable for the water surface image taken in described center through hole, and in this pipe, float is suitable for fluctuating in described measuring tube 1 with the water surface; Make the edge of this water surface image 2-1 more clear by the water surface image 2-1 in float in shooting pipe, be convenient to the area extracting this water surface image 2-1.
Embodiment three
See Fig. 6, on the basis of embodiment one, carry out the measurement of water level, this technical scheme is as follows:
The upper port place of described measuring tube 1 is installed with a video camera, described measuring tube 1 outer be arranged be suitable for making this measuring tube 1 vertically bubble through the water column 2 float 3, and measuring tube 1 can be made to bubble through the water column, without the need to fixing in addition by this float 3.
Described water environment monitoring device also comprises:
Flexible scale 4, and one end is fixed on the bottom, and the other end and is suitable for rolling, strain the wrap-up 5 of this flexible scale 4 is connected, and this wrap-up 5 is fixed on the top of described measuring tube 1;
Angle sheave 6, be located on the inwall of described measuring tube 1, on the inwall of this measuring tube 1, contiguous described angle sheave upper and lower is respectively equipped with guide pole 7-1, lower guide pole 7-2, described flexible scale 4 is suitable for passing from described upper guide pole 7-1, lower guide pole 7-2 and being fitted in the inner side wheel face of described angle sheave 6, and the top of described angle sheave 6 is in above the water surface.
The principle that this embodiment six carries out level measuring utilizes video camera when filming surface image 2-1, and shooting is simultaneously directed to the flexible scale 4 that wheel 6 props up, and the scale of flexible scale 4 is easy to be photographed after being propped up, and just obtains actual water level.
Because angle sheave 6 is very little, carry out water quality detection time, when the water surface image 2-1 of shooting carries out gray proces, the parts such as angle sheave, scale are negligible, and the gray-scale value that can't have influence on water surface image 2-1 calculates.
And described flexible scale 4 stretches into the water-bed bottom end closure not affecting described measuring tube 1.
Embodiment four
See Fig. 1, the method for work of the water environment monitoring device on the basis of embodiment two, comprises the steps:
(1) be fixed with measuring tube 1 above the water surface 2, its lower port is suitable for entering the water surface 2, and upper port place establishes a video camera, and the water surface image 2-1 in described measuring tube 1 taken by this video camera;
(2) described water surface image 2-1 is converted to digital picture by digital image acquisition units;
(3) computing machine be connected with described digital image acquisition units, this Computer Storage has first, second sample data, described first sample data is suitable for the gray-scale value recording various water quality, described second sample data is suitable for recording each area pixel value of water surface image 2-1 and the respective heights (that is, the corresponding relation between each area pixel value and the spacing of video camera and the water surface 2) of the video camera distance water surface;
(4) described computing machine carries out gray proces to described digital picture, and to obtain the gray-scale value of described water surface image 2-1, this gray-scale value and the first sample data are compared and drawn water quality situation;
(5) described Computer calculates the area pixel value of described water surface image 2-1, this area pixel value and the second sample data are compared, draw the height of the video camera distance water surface 2, the setting height(from bottom) of described video camera deducts the height of the described video camera distance water surface 2 to obtain water level value.
Described step (5) comprising:
A: after described water surface image 2-1 carries out gray proces, adopts MATLAB function to carry out Threshold segmentation process to extract the edge of water surface image 2-1;
B: Calling MATLAB built-in function bwarea, the area pixel value of the water surface image 2-1 after extracting with edge calculation.
The concrete grammar of water quality detection is shown in the water quality monitoring step in embodiment 1.
The concrete grammar that water level calculates
Adopt MATLAB function to carry out Threshold segmentation process to the water surface image 2-1 that described video camera is taken, its step is as follows:
Obtained the area of water surface image 2-1 by above-mentioned steps, such as, this water surface image 2-1 is white, and background is black.Can certainly arrange different colors as required, such as water surface image 2-1 is black, and background is white.
Here with water surface image 2-1 for white, background is black is example, in order to calculate the area of white portion, can Calling MATLAB built-in function bwarea.Bwarea function is not the number of the non-zero pixel of simple computation, and it also gives different authorities to different pixels, to compensate owing to representing the error that consecutive image brings by discrete data.Horizontal line length as longer than 50 in one 50 long diagonal line, therefore, the long horizontal line area of bwarea function 50 of returning is 50, and 50 long diagonal line areas return is 62.5.
The step that employing bwarea carries out areal calculation is as follows:
Number=bwarea(Inew)；
Number
Calculate the pixel of white portion, the i.e. area pixel of described water surface image 2-1, and with store the second sample data in a computer, namely each area pixel value (i.e. pixel) of water surface image 2-1 is recorded compared with the corresponding relation list of the respective heights of the video camera distance water surface, as shown in table 2:
Such as, if Number is 54116, i.e. 54116 elemental areas.Then the water surface 2 is 19cm with the spacing of video camera, and namely the height of the video camera distance water surface 2 is 19cm, therefore 54116 elemental areas and this distance of 19cm produce mapping relations.
The height of the described video camera distance water surface is not linear, but a curve delayed by abrupt change, namely the water surface is nearer apart from video camera, identical SEA LEVEL VARIATION, and the change of water surface image is greatly.Thus the precision of this water level measurement method is also inconstant, the precision that guarantee is suitable when measurement range is less, therefore is applicable to the little waters of SEA LEVEL VARIATION (lake as little in mobility, the cistern of limited height).
The present invention can also adopt Canny detective operators to carry out edge extracting for gray component, to obtain each area pixel value of water surface image 2-1, concrete steps are see patent of invention, and application number 200910232679.6, name is called " water level measurement system and method based on image vision ".
Periodical " computing machine and modernization " 06 phase in 2006, extract gray-scale edges in the paper " research based on template parameter in the gray-scale Image Edge extraction algorithm of CNN " of Huang Lei, Liu Wenbo and be also described in detail, the present invention can adopt this algorithm too.
Periodical " Nanjing Aero-Space University " 2006, to describing the method adopting neural network image to be carried out to edge extracting in the paper " the Edge extraction algorithm research based on cell neural network " of Huang Lei, the method is applicable to the present invention too.
Obtain the height of the video camera distance water surface 2 from table 2 after, the setting height(from bottom) of described video camera deducts the height of the described video camera distance water surface 2 to obtain water level value.
Claims (1)
1. a water environment monitoring device, is characterized in that comprising:
The measuring tube distributed up and down during use, its lower port is provided with lighting device and this lower port enters the water surface in use, and the upper port place of measuring tube establishes a video camera, and this video camera is suitable for the water surface image taken in described measuring tube;
Digital image acquisition units, the image be suitable for described camera acquisition obtains is transformed to digital picture;
The computing machine be connected with described digital image acquisition units, this Computer Storage has the first sample data, and described first sample data is suitable for the gray-scale value recording various water quality; Described first sample data is measured one by one water that is known, different quality by described water environment monitoring device and obtains;
Described computing machine is suitable for carrying out gray proces to described digital picture, and to obtain the gray-scale value of described water surface image, this gray-scale value and the first sample data are compared, and draw water quality situation;
The tube wall being positioned at below the water surface in use of described measuring tube is distributed with multiple through hole, and the bottom end closure of this measuring tube; Sheathed one sleeve pipe being distributed with through hole on body below the water surface;
The rotating mechanism that described sleeve pipe and is suitable for driving this sleeve pipe to rotate around described measuring tube is in transmission connection, this rotating mechanism is controlled by the controller that is connected with described video camera, when not filming surface image, controlling described rotating mechanism drives sleeve rotating to make the through hole on described measuring tube relative respectively with the through hole on sleeve pipe, is suitable for passing in and out described measuring tube to make current; When filming surface image, control described rotating mechanism and drive sleeve rotating to offset one from another to make the through hole on described measuring tube and the through hole on sleeve pipe, enter described measuring tube to prevent extraneous light.
Priority Applications (8)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510101616.2A CN104748792B (en) | 2013-03-18 | 2013-03-18 | The method of work of water environment monitoring device |
| CN201310087572.3A CN103175792B (en) | 2013-03-18 | 2013-03-18 | Water environment monitoring device based on machine vision |
| CN201510101043.3A CN104749117B (en) | 2013-03-18 | 2013-03-18 | Using the water environment monitoring device of image vision treatment technology |
| CN201510100687.0A CN104748789B (en) | 2013-03-18 | 2013-03-18 | Water environment monitoring device |
| CN201510100880.4A CN104748790B (en) | 2013-03-18 | 2013-03-18 | A kind of water environment monitoring device and its method of work |
| CN201510100916.9A CN104749111B (en) | 2013-03-18 | 2013-03-18 | It is capable of achieving water level, the water environment monitoring device of water quality monitoring |
| CN201510101235.4A CN104748791B (en) | 2013-03-18 | 2013-03-18 | Operating method of water environmental monitoring device adopting image vision processing technology |
| CN201510100688.5A CN104749116B (en) | 2013-03-18 | 2013-03-18 | A kind of water environment monitoring device based on machine vision |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310087572.3A CN103175792B (en) | 2013-03-18 | 2013-03-18 | Water environment monitoring device based on machine vision |
Related Child Applications (7)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510100916.9A Division CN104749111B (en) | 2013-03-18 | 2013-03-18 | It is capable of achieving water level, the water environment monitoring device of water quality monitoring |
| CN201510101616.2A Division CN104748792B (en) | 2013-03-18 | 2013-03-18 | The method of work of water environment monitoring device |
| CN201510101235.4A Division CN104748791B (en) | 2013-03-18 | 2013-03-18 | Operating method of water environmental monitoring device adopting image vision processing technology |
| CN201510100880.4A Division CN104748790B (en) | 2013-03-18 | 2013-03-18 | A kind of water environment monitoring device and its method of work |
| CN201510100687.0A Division CN104748789B (en) | 2013-03-18 | 2013-03-18 | Water environment monitoring device |
| CN201510101043.3A Division CN104749117B (en) | 2013-03-18 | 2013-03-18 | Using the water environment monitoring device of image vision treatment technology |
| CN201510100688.5A Division CN104749116B (en) | 2013-03-18 | 2013-03-18 | A kind of water environment monitoring device based on machine vision |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103175792A CN103175792A (en) | 2013-06-26 |
| CN103175792B true CN103175792B (en) | 2015-04-29 |
Family
ID=48635798
Family Applications (8)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510100880.4A Expired - Fee Related CN104748790B (en) | 2013-03-18 | 2013-03-18 | A kind of water environment monitoring device and its method of work |
| CN201510101043.3A Active CN104749117B (en) | 2013-03-18 | 2013-03-18 | Using the water environment monitoring device of image vision treatment technology |
| CN201310087572.3A Active CN103175792B (en) | 2013-03-18 | 2013-03-18 | Water environment monitoring device based on machine vision |
| CN201510101616.2A Expired - Fee Related CN104748792B (en) | 2013-03-18 | 2013-03-18 | The method of work of water environment monitoring device |
| CN201510100688.5A Active CN104749116B (en) | 2013-03-18 | 2013-03-18 | A kind of water environment monitoring device based on machine vision |
| CN201510100916.9A Active CN104749111B (en) | 2013-03-18 | 2013-03-18 | It is capable of achieving water level, the water environment monitoring device of water quality monitoring |
| CN201510100687.0A Active CN104748789B (en) | 2013-03-18 | 2013-03-18 | Water environment monitoring device |
| CN201510101235.4A Active CN104748791B (en) | 2013-03-18 | 2013-03-18 | Operating method of water environmental monitoring device adopting image vision processing technology |
Family Applications Before (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510100880.4A Expired - Fee Related CN104748790B (en) | 2013-03-18 | 2013-03-18 | A kind of water environment monitoring device and its method of work |
| CN201510101043.3A Active CN104749117B (en) | 2013-03-18 | 2013-03-18 | Using the water environment monitoring device of image vision treatment technology |
Family Applications After (5)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510101616.2A Expired - Fee Related CN104748792B (en) | 2013-03-18 | 2013-03-18 | The method of work of water environment monitoring device |
| CN201510100688.5A Active CN104749116B (en) | 2013-03-18 | 2013-03-18 | A kind of water environment monitoring device based on machine vision |
| CN201510100916.9A Active CN104749111B (en) | 2013-03-18 | 2013-03-18 | It is capable of achieving water level, the water environment monitoring device of water quality monitoring |
| CN201510100687.0A Active CN104748789B (en) | 2013-03-18 | 2013-03-18 | Water environment monitoring device |
| CN201510101235.4A Active CN104748791B (en) | 2013-03-18 | 2013-03-18 | Operating method of water environmental monitoring device adopting image vision processing technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (8) | CN104748790B (en) |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104133480B (en) * | 2014-04-17 | 2017-02-15 | 中国航空工业集团公司沈阳飞机设计研究所 | Aerial oil receiving guide control method based on machine vision |
| CN107301454B (en) * | 2016-04-15 | 2021-01-22 | 中科寒武纪科技股份有限公司 | Artificial neural network reverse training device and method supporting discrete data representation |
| CN107703324B (en) * | 2017-11-03 | 2023-12-01 | 山东电子职业技术学院 | Multifunctional water quality monitoring device and monitoring method |
| CN108572008A (en) * | 2018-04-21 | 2018-09-25 | 张冬梅 | Tap lower reservoir electronics cleaning systems |
| CN110719414B (en) * | 2018-07-11 | 2021-09-28 | 叶官兵 | Riverbed sampling device |
| US12017887B2 (en) * | 2018-09-24 | 2024-06-25 | Otis Elevator Company | Water detection inside elevator pit |
| CN111198186B (en) * | 2020-01-16 | 2021-08-31 | 中南大学 | Turbidity detection method based on image recognition and optical transmission fusion |
| CN111669555B (en) * | 2020-07-08 | 2024-07-02 | 烟台市水文局（烟台市水土保持监测站） | Automatic monitoring device and monitoring method for water surface evaporation based on image analysis |
| JP2023044875A (en) * | 2021-09-21 | 2023-04-03 | 東芝デジタルソリューションズ株式会社 | Water quality monitoring system |
Family Cites Families (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS60224374A (en) * | 1984-04-23 | 1985-11-08 | Nec Corp | Pseudo gradation reading device |
| JPH08159947A (en) * | 1994-12-02 | 1996-06-21 | Nippon Syst House Kk | Water quality control system by image analysis |
| JP2992804B2 (en) * | 1995-03-09 | 1999-12-20 | 高田 孝昭 | Automatic jellyfish monitoring system for water intake |
| AU2003256130A1 (en) * | 2002-09-19 | 2004-05-13 | Istek Inc. | Water quality measuring apparatus and method using image |
| CN2577261Y (en) * | 2002-11-06 | 2003-10-01 | 张宪民 | Underground water-level measuring instrument |
| JP2005291830A (en) * | 2004-03-31 | 2005-10-20 | Shinko Engineering & Maintenance Co Ltd | Image measurement apparatus and image measurement method for liquid level |
| CN1300010C (en) * | 2004-09-20 | 2007-02-14 | 哈尔滨工业大学 | Flocculation dispensing parting on line detection device for water treatment and detection method |
| KR100778014B1 (en) * | 2005-09-16 | 2007-11-21 | 한국건설기술연구원 | Apparatus and method for measuring liquid level by image |
| KR100722299B1 (en) * | 2006-06-27 | 2007-05-28 | 김응수 | Real time measurement and monitering system for activity of water flea using ccd camera |
| CN201141839Y (en) * | 2007-01-10 | 2008-10-29 | 宁波工程学院 | Device for detecting tiny bearing surface defect by computer vision technology |
| CN101718573B (en) * | 2009-12-04 | 2011-06-29 | 河海大学常州校区 | System and method for measuring water level based on image vision |
| CN101900688A (en) * | 2010-08-19 | 2010-12-01 | 潘海朗 | Water quality monitoring method based on motion features of aquatic organism in the image |
| CN202008382U (en) * | 2011-01-12 | 2011-10-12 | 湖南大学 | Liquid level detector based on machine vision |
| CN102147281B (en) * | 2011-01-12 | 2012-10-03 | 湖南大学 | Machine-vision based liquid level detection device and method |
| CN102289824B (en) * | 2011-07-06 | 2013-04-24 | 湖南大学 | Method for positioning plane centroid of pipe orifice image of condenser |
| CN202231810U (en) * | 2011-10-09 | 2012-05-23 | 郝明龙 | Infrared illumination system of monitoring terminal for water level and water quality |
| CN202305417U (en) * | 2011-10-21 | 2012-07-04 | 常州工学院 | Gray-level-identification-based water quality detecting device |
| CN202284965U (en) * | 2011-10-21 | 2012-06-27 | 常州工学院 | System for monitoring water level and water quality |
| CN202282828U (en) * | 2011-10-21 | 2012-06-20 | 常州工学院 | Water level, water quality monitor terminal |
| CN102494733B (en) * | 2011-12-12 | 2013-09-25 | 西安电子科技大学 | Water level monitoring system based on image processing and method |
| CN203083921U (en) * | 2013-03-07 | 2013-07-24 | 淮阴师范学院 | Water quality monitoring system |
-
2013
- 2013-03-18 CN CN201510100880.4A patent/CN104748790B/en not_active Expired - Fee Related
- 2013-03-18 CN CN201510101043.3A patent/CN104749117B/en active Active
- 2013-03-18 CN CN201310087572.3A patent/CN103175792B/en active Active
- 2013-03-18 CN CN201510101616.2A patent/CN104748792B/en not_active Expired - Fee Related
- 2013-03-18 CN CN201510100688.5A patent/CN104749116B/en active Active
- 2013-03-18 CN CN201510100916.9A patent/CN104749111B/en active Active
- 2013-03-18 CN CN201510100687.0A patent/CN104748789B/en active Active
- 2013-03-18 CN CN201510101235.4A patent/CN104748791B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN104748789B (en) | 2017-03-08 |
| CN104749116B (en) | 2017-06-09 |
| CN104749116A (en) | 2015-07-01 |
| CN104748789A (en) | 2015-07-01 |
| CN104749117B (en) | 2017-03-29 |
| CN104748790B (en) | 2017-03-01 |
| CN104748791A (en) | 2015-07-01 |
| CN103175792A (en) | 2013-06-26 |
| CN104749117A (en) | 2015-07-01 |
| CN104748792B (en) | 2017-03-08 |
| CN104749111B (en) | 2017-05-31 |
| CN104748790A (en) | 2015-07-01 |
| CN104749111A (en) | 2015-07-01 |
| CN104748792A (en) | 2015-07-01 |
| CN104748791B (en) | 2017-01-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103175792B (en) | Water environment monitoring device based on machine vision | |
| CN103163075B (en) | A kind of water regime monitoring system | |
| CN104101569B (en) | A kind of monitoring water environment system | |
| CN108416340A (en) | A kind of intelligent face identification device that the accuracy of identification that illumination is stablized is high | |
| CN105675509B (en) | Monitoring water environment system based on image vision treatment technology | |
| CN105717050A (en) | Working method of water environment monitoring system based on image visual processing technology | |
| CN105675508A (en) | Water environment monitoring system adopting image vision processing technology | |
| CN105737901B (en) | The method that water level and water quality monitoring are realized based on image vision treatment technology | |
| CN105675510B (en) | The monitoring water environment system of water level and water quality monitoring is realized based on image vision processing | |
| KR100847510B1 (en) | Method for measuring liquid level by image-analysis and apparatus using it | |
| CN117074433A (en) | Spool PE film flaw off-line detection equipment based on penetrating light source and visual algorithm |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| ASS | Succession or assignment of patent right |
Owner name: HUAIYIN NORMAL COLLEGE Free format text: FORMER OWNER: CHEN YONG Effective date: 20150331 |
|
| CB03 | Change of inventor or designer information |
Inventor after: Chen Yong Inventor after: Yu Along Inventor after: He Guangming Inventor after: Fan Xiaojing Inventor after: Zhang Yangyang Inventor after: Zhang Linhai Inventor after: Pan Yingying Inventor before: Chen Yong |
|
| COR | Change of bibliographic data |
Free format text: CORRECT: INVENTOR; FROM: CHEN YONG TO: CHEN YONG YU ALONG HE GUANGMING FAN XIAOJING ZHANG YANGYANG ZHANG LINHAI PAN YINGYING Free format text: CORRECT: ADDRESS; FROM: 213022 CHANGZHOU, JIANGSU PROVINCE TO: 223000 HUAIAN, JIANGSU PROVINCE |
|
| TA01 | Transfer of patent application right |
Effective date of registration: 20150331 Address after: 223000 Huaian Changjiang Road, Huaiyin District, Jiangsu, No. 111 Applicant after: Huaiyin Normal College Address before: 213022 Jiangsu province Xinbei District of Changzhou City Long Jin Lu Baicao court 26- Ding -701 Applicant before: Chen Yong |
|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C41 | Transfer of patent application or patent right or utility model | ||
| CB03 | Change of inventor or designer information |
Inventor after: Li Tangzhong Inventor after: Chen Ying Inventor after: Zhang Fengxuan Inventor after: Ge Xiaoyong Inventor after: Yuan Linjiang Inventor before: Chen Yong Inventor before: Yu Along Inventor before: He Guangming Inventor before: Fan Xiaojing Inventor before: Zhang Yangyang Inventor before: Zhang Linhai Inventor before: Pan Yingying |
|
| COR | Change of bibliographic data | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20170109 Address after: 310000 Hangzhou economic and Technological Development Zone, Hangzhou Province, the eastern part of the international business center in the eastern part of the 1 building (room), room (room), 602 () Patentee after: ZHEJIANG ANKONG SCIENCE & TECHNOLOGY CO., LTD. Address before: 223000 Huaian Changjiang Road, Huaiyin District, Jiangsu, No. 111 Patentee before: Huaiyin Teachers College |