CN110715820A - Riverbed sampling method - Google Patents
Riverbed sampling method Download PDFInfo
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- CN110715820A CN110715820A CN201810759055.9A CN201810759055A CN110715820A CN 110715820 A CN110715820 A CN 110715820A CN 201810759055 A CN201810759055 A CN 201810759055A CN 110715820 A CN110715820 A CN 110715820A
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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- G01N1/02—Devices for withdrawing samples
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Abstract
The invention discloses a river bed sampling method, which comprises the steps of enabling an organism to go deep into silt of a river bed; pulling the traction handle upwards to lift the sealing plate, so that the sampling hole is exposed; the river bed silt slowly enters the sampling box in the process of exposing the sampling hole; the two image acquisition units acquire the silt image data in the sampling box and input the silt image data into the central processing unit, and the central processing unit processes the received image data; the invention can not only collect the images of the silt particles in batches, but also can splice the images quickly and efficiently, can obviously improve the definition and contrast of the spliced images, greatly reduce the data rate of the images, accurately collect the image information of the silt particles, and achieve the effect of facilitating the sampling speed of workers by improving the stability, thereby achieving the effect of improving the working efficiency.
Description
Technical Field
The invention relates to the technical field of riverbed sampling, in particular to a riverbed sampling method.
Background
The river bed sampler is an instrument for collecting sediment samples on or below a bed surface, when the sampler is placed at the bottom of a river, a contact rod positioned at the bottom of a fish lead is lifted, so that a limiting claw of a bucket is loosened, then a hoisting rope is reeled, the bucket is driven by the dead weight of the instrument to overturn and sample, a piston in a pipe rises along with the entering of the samples into the pipe, and the samples can be maintained in the cylinder without loss by virtue of partial vacuum formed by the movement of the piston.
The requirement for the water conservancy monitoring facility is improved along with the development in the aspect of water conservancy, and the requirement for the riverbed sampling device is improved along with the development in the aspect of water conservancy, but the conventional riverbed sampling device can not manually and flexibly control proper sampling to cause independent sediment in the descending process, so that the normal sampling quality is greatly influenced.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides a riverbed sampling method.
In order to achieve the purpose, the invention adopts the following technical scheme:
a river bed sampling method comprises the following steps:
001. the organism is deeply inserted into the sediment of the riverbed;
002. pulling the traction handle upwards to lift the sealing plate, so that the sampling hole is exposed;
003. the river bed silt slowly enters the sampling box in the process of exposing the sampling hole;
004. the two image acquisition units acquire the silt image data in the sampling box and input the silt image data into the central processing unit, and the central processing unit processes the received image data.
The invention has the beneficial effects that:
the degree of automation is high, and two equipment carry out image acquisition simultaneously, not only can carry out batch silt particle image acquisition, can carry out high efficiency's concatenation to the image moreover, can obviously improve the definition and the contrast of concatenation image, have reduced the image data rate by a wide margin to silt particle image information has been gathered to the accuracy, reach the effect that the staff of being convenient for guaranteed the sampling speed through promoting stability, thereby reach the effect that promotes work efficiency.
Drawings
Fig. 1 is a schematic structural diagram of a riverbed sampling device according to the present invention;
fig. 2 is a schematic view of a bottom view of a stabilizing block of the riverbed sampling device according to the present invention.
Fig. 3 is a signal schematic diagram according to the present invention.
In the figure: the device comprises a machine body 1, a sliding groove 2, a sampling hole 3, a sliding rod 4, a traction rod 5, a traction handle 6, a sealing plate 7, a return spring 8, a traction plate 9, a guide block 10, a sampling box 11, a sampling pipe 12, a force application handle 13, a water outlet hole 14, a stabilizing block 15, a stabilizing tooth 16 and a support column 17.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1-2, a riverbed sampling device comprises a machine body 1, sliding grooves 2 are respectively arranged on the left side and the right side of the machine body 1, the top of the machine body 1 is open, sampling holes 3 communicated with the inner walls of the left side and the right side of the machine body 1 are respectively arranged on one side, close to each other, of the two sliding grooves 2, a sliding rod 4 is slidably connected on the inner surface of the sliding groove 2, a traction rod 5 is fixedly connected on one end, far away from the inner surface of the sliding groove 2, of the sliding rod 4, a traction handle 6 is fixedly connected on the top end of the traction rod 5, a sealing plate 7 attached to the sampling holes 3 is fixedly connected on the bottom end of the traction rod 5, a traction plate 9 is fixedly connected on one side, far away from the sliding groove 2, return springs 8 positioned below the sliding groove 2 are fixedly connected on the left side and the right side of the machine, the spring with proper elastic coefficient plays a role in being more suitable for pulling between structures.
The top end of a return spring 8 is fixedly connected to the bottom of a traction plate 9, the connection mode between a traction rod 5 and a traction handle 6 is welding, the connection mode between a sealing plate 7 and the traction plate 9 is threaded connection, firm welding and threaded connection between structures are arranged, the connection mode ensures the stability between the structures to a great extent, and further the effect of large-amplitude shaking between the structures cannot occur, a sampling box 11 is placed at the bottom of a machine body 1, a water drainage hole communicated with the inner wall is formed in the bottom of the sampling box 11, sampling tubes 12 positioned outside the sampling hole 3 are fixedly connected to the left side and the right side of the sampling box 11, two symmetrical guide blocks 10 positioned at two sides of the sampling box 11 are fixedly connected to the inner wall of the bottom of the machine body 1, one side of each guide block 10, which is close to the sampling box 11, and the angle between the vertical surface and one side of each guide block 10, which is close to the sampling box 11, is, the positive shape of guide block 10 is the quadrangle, sets up the inclined plane and plays the spacing effect of direction of being convenient for, makes sampling case 11 the effect that the speed of placing is faster.
The invention also comprises a user side, a central processing unit, an analog-to-digital conversion unit, a pulse modulation unit and two image acquisition units; the two image acquisition units are installed at the top of the inner side of the sampling box 11, the wireless communication unit, the analog-to-digital conversion unit and the pulse modulation unit are integrated in the central processing unit, the central processing unit is located outside the sampling box 11, the image acquisition units are connected with the central processing unit and the analog-to-digital conversion unit through a wireless network, the analog-to-digital conversion unit is connected with the central processing unit, the image acquisition units are connected with the pulse modulation unit through a wireless network, the pulse modulation unit is connected with the central processing unit, the image acquisition units comprise a light source module and a photographic module, and a user side is connected with the central processing unit.
The central processing unit includes:
the selecting module is used for selecting the sediment images A and B which are respectively obtained by the two image acquisition units at the same time;
the gray mean value acquisition module is used for acquiring the gray mean values of the images A and B;
the splicing module is used for splicing the images A and B;
and the output module is used for outputting the spliced image to the user side.
The gray level mean value acquisition module calculates the gray level mean value mu of the images A and B in the following mode:
where f (i, j) represents the gray scale value of the pixel point at (i, j), and M, N is the width and height of the image, so that μ (a) is calculated as the gray scale mean value of the image a, and μ (B) is calculated as the gray scale mean value of the image B.
The splicing module includes:
the traversal module is used for setting f (i, j) as a gray value at a row and a column of an image i, wherein i belongs to [0, M), j belongs to [0, N) the gray value, making i equal to 0, and j equal to 0, and traversing the image to read A (i, j) and B (i, j);
the gray value determining module is used for determining a gray value at a point F (i, j) of the spliced image, and specifically comprises the following steps:
f (i, j) is a pixel value of i rows and j columns of the spliced image, A (i, j) is a gray value of i rows and j columns in the image A, B (i, j) is a gray value of i rows and j columns in the image, mu (A) is a gray average value of the image A, and mu (B) is a gray average value of the image B; the above formula indicates that the value of the spliced image F at (i, j) is the pixel value with larger distance from the gray mean value in the images A and B;
and the judging module is used for judging whether all pixel points of the image A, B are traversed, if not, returning to the gray value determining module, and if so, outputting the spliced image F to a user side.
A river bed sampling method comprises the following steps:
001. the organism is deeply inserted into the sediment of the riverbed;
002. pulling the traction handle upwards to lift the sealing plate, so that the sampling hole is exposed;
003. the river bed silt slowly enters the sampling box in the process of exposing the sampling hole;
004. the two image acquisition units acquire the silt image data in the sampling box and input the silt image data into the central processing unit, and the central processing unit processes the received image data.
The step 004 of acquiring the sediment image data in the sampling box by the two image acquisition units specifically comprises the following steps:
the central processing unit triggers the light source module of the image acquisition unit to emit light through the pulse modulation module, the photographing modules of the two image acquisition units simultaneously acquire light intensity signals and sediment images, the image acquisition units convert the light intensity signals into digital signals through the analog-to-digital conversion unit and transmit the digital signals to the central processing unit, and the image acquisition units directly transmit the sediment images to the central processing unit.
The step 004 of processing the received image data by the central processing unit specifically includes the following steps:
041. selecting sediment images A and B which are respectively obtained by two image acquisition units at the same time;
042. acquiring the gray average value of the images A and B;
043. carrying out image splicing on the images A and B;
044. and outputting the spliced image to a user side.
The gray level mean μ of the images a and B in the step 042 is calculated by the following formula:
where f (i, j) represents the gray scale value of the pixel point at (i, j), and M, N is the width and height of the image, so that μ (a) is calculated as the gray scale mean value of the image a, and μ (B) is calculated as the gray scale mean value of the image B.
The step 043 specifically comprises the following steps:
setting f (i, j) as a gray value at a row and a column of an image i, wherein i belongs to [0, M), j belongs to [0, N) the gray value, setting i to 0, and setting j to 0, and traversing the image to read A (i, j) and B (i, j);
determining the gray value at the point F (i, j) of the spliced image, specifically:
f (i, j) is a pixel value of i rows and j columns of the spliced image, A (i, j) is a gray value of i rows and j columns in the image A, B (i, j) is a gray value of i rows and j columns in the image, mu (A) is a gray average value of the image A, and mu (B) is a gray average value of the image B; the above formula indicates that the value of the spliced image F at (i, j) is the pixel value with larger distance from the gray mean value in the images A and B;
and judging whether all pixel points of the image A, B are traversed, returning to the previous step if all pixel points of the image A, B are not traversed, and outputting a spliced image F if all pixel points of the image A, B are traversed.
The exposure of thief hole 3 makes the riverbed silt get into in the sample chamber 11, and then gets into irrelevant silt and reach the effect of guaranteeing the sample quality through avoiding putting into the in-process to make the higher effect of accuracy of whole sample data through guaranteeing the sample quality.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (5)
1. A river bed sampling method is characterized by comprising the following steps:
001. the organism is deeply inserted into the sediment of the riverbed;
002. pulling the traction handle upwards to lift the sealing plate, so that the sampling hole is exposed;
003. the river bed silt slowly enters the sampling box in the process of exposing the sampling hole;
004. the two image acquisition units acquire the silt image data in the sampling box and input the silt image data into the central processing unit, and the central processing unit processes the received image data.
2. The riverbed sampling method according to claim 1, wherein the step 004 of acquiring the sediment image data in the sampling box by the two image acquisition units specifically comprises the following steps:
the central processing unit triggers the light source module of the image acquisition unit to emit light through the pulse modulation module, the photographing modules of the two image acquisition units simultaneously acquire light intensity signals and sediment images, the image acquisition units convert the light intensity signals into digital signals through the analog-to-digital conversion unit and transmit the digital signals to the central processing unit, and the image acquisition units directly transmit the sediment images to the central processing unit.
3. The riverbed sampling method according to claim 2, wherein: the step 004 of processing the received image data by the central processing unit specifically includes the following steps:
041. selecting sediment images A and B which are respectively obtained by two image acquisition units at the same time;
042. acquiring the gray average value of the images A and B;
043. carrying out image splicing on the images A and B;
044. and outputting the spliced image to a user side.
4. The riverbed sampling method according to claim 3, wherein the mean values μ of the gray levels of the images A and B in the step 042 are respectively calculated by the following formulas:
where f (i, j) represents the gray scale value of the pixel point at (i, j), and M, N is the width and height of the image, so that μ (a) is calculated as the gray scale mean value of the image a, and μ (B) is calculated as the gray scale mean value of the image B.
5. The riverbed sampling method according to claim 4, wherein the step 043 comprises the following steps:
setting f (i, j) as a gray value at a row and a column of an image i, wherein i belongs to [0, M), j belongs to [0, N) the gray value, setting i to 0, and setting j to 0, and traversing the image to read A (i, j) and B (i, j);
determining the gray value at the point F (i, j) of the spliced image, specifically:
f (i, j) is a pixel value of i rows and j columns of the spliced image, A (i, j) is a gray value of i rows and j columns in the image A, B (i, j) is a gray value of i rows and j columns in the image, mu (A) is a gray average value of the image A, and mu (B) is a gray average value of the image B; the above formula indicates that the value of the spliced image F at (i, j) is the pixel value with larger distance from the gray mean value in the images A and B;
and judging whether all pixel points of the image A, B are traversed, returning to the previous step if all pixel points of the image A, B are not traversed, and outputting a spliced image F if all pixel points of the image A, B are traversed.
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| CN201810759055.9A CN110715820A (en) | 2018-07-11 | 2018-07-11 | Riverbed sampling method |
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| CN201810759055.9A CN110715820A (en) | 2018-07-11 | 2018-07-11 | Riverbed sampling method |
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Citations (6)
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| CN102426702A (en) * | 2011-10-25 | 2012-04-25 | 南阳理工学院 | Fusion method of CT image and MR image |
| CN103729834A (en) * | 2013-12-23 | 2014-04-16 | 西安华海盈泰医疗信息技术有限公司 | Self-adaptation splicing method and system of X-ray images |
| CN104007273A (en) * | 2014-05-24 | 2014-08-27 | 肖英 | Monitoring equipment and measurement and calculation method for sediment concentration of river |
| CN105491280A (en) * | 2015-11-23 | 2016-04-13 | 英华达（上海）科技有限公司 | Method and device for collecting images in machine vision |
| CN107290184A (en) * | 2017-08-03 | 2017-10-24 | 深圳柒祁祺商贸有限公司 | A kind of water conservancy scientific research sediment load sampling device |
| CN107727439A (en) * | 2017-10-30 | 2018-02-23 | 祝敏 | A kind of sampler researched and analysed for water conservancy silt |
-
2018
- 2018-07-11 CN CN201810759055.9A patent/CN110715820A/en not_active Withdrawn
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102426702A (en) * | 2011-10-25 | 2012-04-25 | 南阳理工学院 | Fusion method of CT image and MR image |
| CN103729834A (en) * | 2013-12-23 | 2014-04-16 | 西安华海盈泰医疗信息技术有限公司 | Self-adaptation splicing method and system of X-ray images |
| CN104007273A (en) * | 2014-05-24 | 2014-08-27 | 肖英 | Monitoring equipment and measurement and calculation method for sediment concentration of river |
| CN105491280A (en) * | 2015-11-23 | 2016-04-13 | 英华达（上海）科技有限公司 | Method and device for collecting images in machine vision |
| CN107290184A (en) * | 2017-08-03 | 2017-10-24 | 深圳柒祁祺商贸有限公司 | A kind of water conservancy scientific research sediment load sampling device |
| CN107727439A (en) * | 2017-10-30 | 2018-02-23 | 祝敏 | A kind of sampler researched and analysed for water conservancy silt |
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