CN201600164U - Video water-level gauge - Google Patents
Video water-level gauge Download PDFInfo
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- CN201600164U CN201600164U CN2009203521062U CN200920352106U CN201600164U CN 201600164 U CN201600164 U CN 201600164U CN 2009203521062 U CN2009203521062 U CN 2009203521062U CN 200920352106 U CN200920352106 U CN 200920352106U CN 201600164 U CN201600164 U CN 201600164U
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Abstract
The utility model discloses a video water-level gauge, which comprises a water gauge, an image acquisition device, a DSP high-speed image processing device, a water-level uploading interface and a power system. The water gauge is disposed in an acquisition range of the image acquisition device, the image acquisition device, the DSP high-speed image processing device and the water-level uploading interface are sequentially connected through data lines, the power system is respectively electrically connected with the image acquisition device, the DSP high-speed image processing device and the water-level uploading interface, the DSP high-speed image processing device comprises a preprocessing unit, an image segmentation unit and an identification unit, a signal output end of the preprocessing unit is connected with a signal input end of the image segmentation unit, and a signal output end of the image segmentation unit is connected with a signal input end of the identification unit. The video water-level gauge is simple, reasonable and compact in structure, overcomes shortages of the prior art through the image identification technology, and has the advantages that the video water-level gauge realizes non-contact measurement, is convenient in implementing, free of limitation of operation environments and accurate in measurement and is stable and reliable.
Description
Technical field
The utility model relates to a kind of water level gauge, particularly, relates to a kind of video water level gauge.
Background technology
Water level gauge is the instrument that can measure and write down water body water levels such as river, lake and feed ditch automatically.Existing water level gauge divides float-type, tracking mode, pressure type and reflective etc. by Fundamentals of Sensors.The water-stage record mode mainly contains: recording chart is described, data presentation or typewriting record, punched tape, tape and solid-state circuit storage etc.
Float type level meter: its principle is the lifting by float induction water level.Useful mechanical system directly makes the common water level gauge of float transmission interrecord structure, the corner amount that the handlebar float provides converts the increment electric pulse to or the fax of long-distance transmissions, several water level gauge that passes, the digital sensing water level gauge that also useful miniature float and many tongue tubes are formed etc. are made in the binary coding pulse.Using wider is the mechanical type water level gauge.Using float type level meter need have logging equipment, only is suitable for bank stability, riverbed towards the low sand-carrying capacity section use of becoming silted up very little.Though float type level meter is simple in structure, it is also more accurate to measure, supporting well logging construction costs height is built at the bottom of well logging then destroys canal easily the channel that has completed again.
Tracking mode water level gauge: claim the contact water level gauge again, utilize the electroprobe contact water surface on the weight to send electric signal, motor is just changeed or reverses, the position of trackable surface point at any time, thereby mensuration water level.Generally on than the bold shore slope, set up iron pipe, suspending hammer and suspension cable lifting in pipeline, activation record or signal device.The iron pipe water inlet need have desilting and hydrostatic facility.
The pressure type water level gauge: its principle of work is to measure water pressure, calculates water level.Be characterized in need not building the hydrostatic well logging, sensor can be fixed on the river bed, eliminate atmospheric pressure with pressure guiding pipe, thereby directly record water level.The pressure type water level is in respect of two classes.One class is the bubble type, and constantly gas transmission converts water pressure to mechanical corner amount with self-regulating pressure balance in pressure guiding pipe, thereby drives recording mechanism.Another kind of is the electrical measurement type, and it is used solid-state piezo-resistance device and makes sensor, can directly water pressure be transformed into the output of voltage modulus or frequency quantity, transfers to lead and handles on the bank and record.The pressure type water level gauge uses more convenient, but is subjected to impurity in the water easily after using a period of time, and silt stops up, and influences the precision of level measuring, the water passage of time, and it is big that error becomes.
The sound wave type water level gauge: be a kind of of reflective water level gauge, the application sound wave is met the principle of different interfaces reflections and is measured water level.Be divided into aerosphere type and water Jie formula two classes.Aerosphere type is the propagation medium of sound wave with the air, and transducer places water surface top, by the water-reflected sound wave, can calculate and demonstrate water level according to the echo time.Instrument does not contact water body, is completely free of silt in the water, the influence of unfavorable factors such as flow velocity impact and pasture and water.Water Jie formula is that transducer is installed in the river bed, to water surface emission sound wave.Sound wave is the velocity of propagation height in aqueous medium, and distance is big, does not also need to build well logging.Two kinds of all available cable transmission of water level gauge are to indoor demonstration or store recording (observation of water breakthrough position).The sound wave type water level gauge belongs to non-cpntact measurement, easy construction, but is subjected to temperature and elasticity effect big easily, the basic demand that measuring error sometimes detects greater than the water conservancy hydrology.
As fully visible, the current water level agent all exist certain defective as: construction is inconvenient, and measuring accuracy is not high, and the long-time running reliability can't ensure or contact measurement etc.
Summary of the invention
The purpose of this utility model is, at the problems referred to above, proposes a kind of video water level gauge, realizing non-cpntact measurement, to implement conveniently, no running environment limits, reliable and stable, measure advantage accurately.
For achieving the above object, the technical solution adopted in the utility model is:
A kind of video water level gauge, comprise: water gauge, image capture device, DSP high speed image treatment facility, water level is uploaded interface and power-supply system, described water gauge is arranged in the acquisition range of image capture device, described image capture device, DSP high speed image treatment facility and water level are uploaded interface and are linked in sequence by data line, described power-supply system respectively with image capture device, DSP high speed image treatment facility and water level are uploaded interface and are electrically connected, described DSP high speed image treatment facility comprises: pretreatment unit, image segmentation unit and recognition unit, the signal output part of described pretreatment unit links to each other with image segmentation cell signal input end; The signal output part of described image segmentation unit links to each other with the recognition unit signal input part;
The image information that image capture device collects is after the pretreatment unit analyzing and processing, by the image segmentation unit by the image water gauge is partly carried out vertical integration and horizontal integration, obtain vertical histogram and horizontal histogram, water gauge is divided into several zonules by statistic histogram; By area of graph in each lattice in the recognition unit difference calculating chart, utilize the method for K-MEANS cluster that figure is divided into two classes, utilize two dependences between Gray code that water gauge is from left to right judged at last, when not satisfying the dependence of Gray code, two row do not stop to judge, and read water level, specifically needing to add the secondary judgement in the deterministic process, to get rid of the water level read error that causes because of classification error.
Further, described pretreatment unit comprises: gray scale processing module, coarse positioning module, rim detection module, image rotary module, Gauss's denoising module a, Gauss's denoising module b, binary conversion treatment module, size normalization module, and the signal output part of described gray scale processing module links to each other with the signal input part of coarse positioning module; The signal output part of described coarse positioning module links to each other with the signal input part of Gauss's denoising module a; The signal output part of described Gauss's denoising module a links to each other with the signal input part of rim detection module; The signal output part of described rim detection module links to each other with the signal input part of image rotary module; The signal output part of described image rotary module links to each other with the signal input part of Gauss's denoising module b; The signal output part of described Gauss's denoising module b links to each other with the signal input part of binary conversion treatment module; The signal output part of described binary conversion treatment module links to each other with the signal input part of size normalization module.
Described gray scale processing module is that coloured image is converted to easy-to-handle black white image;
Described coarse positioning module, utilize the difference of water gauge gray scale and background gray scale to find image two separatrix up and down, with the probable ranges of search water gauge, the purpose of doing like this: the one, reduce calculated amount, whole big figure is dwindled, the 2nd, eliminate of the influence of water gauge edge to the later stage straight-line detection;
It is that burrs on edges is removed in filtering that described Gauss's denoising module a mainly acts on, and makes image become smooth, and its advantage is well to keep former diagram shape and edge feature in denoising;
Described rim detection module, utilize the edge of two black lines on the CANNY operator detected image water gauge, when straight-line detection, can directly image binaryzation be detected, but owing to need the number of calculation level more, cause straight-line detection speed very slow, with only needing the edge calculation point after the image borderization, can improve arithmetic speed greatly;
Described image rotary module, its objective is, at first detect the angle of water gauge in horizontal direction, and water gauge is adjusted into level, detailed, this step is to utilize Hough transformation to detect two the longest parallel lines on the water gauge on the picture after the rim detection, calculating the angle of these two straight lines and horizontal direction, and by this angle image is rotated;
Described Gauss's denoising module b, the effect of this step also is that burrs on edges is removed in filtering, makes image become smooth;
Described binary conversion treatment module under the situation of a given threshold value, is changed to 0 less than the pixel of this threshold value, gray-scale value greater than this threshold value is 255, bright in other words part is set to white entirely, and dark part is set to black entirely, extracts the shape of water gauge thus;
Described size normalization module according to two black lines on the water gauge, calculates the width (promptly up and down the distance between two horizontal black lines) of water gauge, by the convergent-divergent of image, makes the distance of these two lines be certain certain value, and water gauge is moved to the picture top.
Further, described pretreatment unit also comprises: the flating processing module, the signal output part of described flating processing module links to each other with the signal input part of gray scale processing module, described flating processing module is carried out anti-shake processing to the water gauge video image that collects, to improve the sharpness of image.
Further, be distributed with a plurality of two kinds of figures that are easy to distinguish on the described water gauge, so that recognition unit reads water level.
Further, two kinds of figures on the described water gauge are triangle and circle.
Because system running speed height and system architecture unit are many, and be bigger to requirements for power supply power, define the rig-site utilization of video water level gauge to a certain extent, the utility model has adopted power management and low-power consumption algorithm, can address the above problem effectively.
The job step of video water level gauge: image capture device is gathered the water gauge video image; The water gauge video image that collects at first through the sharpness of anti-shake processing with the raising image, carries out Digital Image Processing via gray scale processing module, coarse positioning module, rim detection module, image rotary module, Gauss's denoising module a, Gauss's denoising module b, binary conversion treatment module and size normalization module respectively then; By image segmentation unit statistic histogram water gauge is divided into several zonules; By area of graph in each lattice in the recognition unit difference calculating chart, and read water level; Water level information is uploaded interface by water level and is uploaded to display system.
Beneficial effect:
The utility model is simple and reasonable for structure, compact.By adopting image recognition technology to overcome many shortcomings of prior art, realized non-cpntact measurement, implement convenient, no running environment limit, reliable and stable and measure advantage accurately.
Description of drawings
Accompanying drawing is used to provide further understanding of the present utility model, and constitutes the part of instructions, is used from explanation the utility model with embodiment one of the present utility model, does not constitute restriction of the present utility model.In the accompanying drawings:
Fig. 1 is the structural representation of a kind of video water level gauge of the utility model;
Fig. 2 is the DSP high speed image treatment facility structural representation figure of a kind of video water level gauge of the utility model;
Fig. 3 is the pretreatment unit structural representation of a kind of video water level gauge of the utility model;
Fig. 4 is the water gauge embodiment synoptic diagram of a kind of video water level gauge of the utility model.
Embodiment
Below in conjunction with accompanying drawing preferred embodiment of the present utility model is described, should be appreciated that preferred embodiment described herein only is used for description and interpretation the utility model, and be not used in qualification the utility model.
Shown in Fig. 1-4, a kind of video water level gauge, comprise: water gauge, image capture device, DSP high speed image treatment facility, water level is uploaded interface and power-supply system, described water gauge is arranged in the acquisition range of image capture device, described image capture device, DSP high speed image treatment facility and water level are uploaded interface and are linked in sequence by data line, described power-supply system respectively with image capture device, DSP high speed image treatment facility and water level are uploaded interface and are electrically connected, described DSP high speed image treatment facility comprises: pretreatment unit, image segmentation unit and recognition unit, the signal output part of described pretreatment unit links to each other with image segmentation cell signal input end; The signal output part of described image segmentation unit links to each other with the recognition unit signal input part;
The image information that image capture device collects is after the pretreatment unit analyzing and processing, by the image segmentation unit by the image water gauge is partly carried out vertical integration and horizontal integration, obtain vertical histogram and horizontal histogram, water gauge is divided into several zonules by statistic histogram; By area of graph in each lattice in the recognition unit difference calculating chart, utilize the method for K-MEANS cluster that figure is divided into two classes, utilize two dependences between Gray code that water gauge is from left to right judged at last, when not satisfying the dependence of Gray code, two row do not stop to judge, and read water level, specifically needing to add the secondary judgement in the deterministic process, to get rid of the water level read error that causes because of classification error.
Further, described pretreatment unit comprises: gray scale processing module, coarse positioning module, rim detection module, image rotary module, Gauss's denoising module a, Gauss's denoising module b, binary conversion treatment module, size normalization module, and the signal output part of described gray scale processing module links to each other with the signal input part of coarse positioning module; The signal output part of described coarse positioning module links to each other with the signal input part of Gauss's denoising module a; The signal output part of described Gauss's denoising module a links to each other with the signal input part of rim detection module; The signal output part of described rim detection module links to each other with the signal input part of image rotary module; The signal output part of described image rotary module links to each other with the signal input part of Gauss's denoising module b; The signal output part of described Gauss's denoising module b links to each other with the signal input part of binary conversion treatment module; The signal output part of described binary conversion treatment module links to each other with the signal input part of size normalization module.
Described gray scale processing module is that coloured image is converted to easy-to-handle black white image;
Described coarse positioning module, utilize the difference of water gauge gray scale and background gray scale to find image two separatrix up and down, with the probable ranges of search water gauge, the purpose of doing like this: the one, reduce calculated amount, whole big figure is dwindled, the 2nd, eliminate of the influence of water gauge edge to the later stage straight-line detection;
It is that burrs on edges is removed in filtering that described Gauss's denoising module a mainly acts on, and makes image become smooth, and its advantage is well to keep former diagram shape and edge feature in denoising;
Described rim detection module, utilize the edge of two black lines on the CANNY operator detected image water gauge, when straight-line detection, can directly image binaryzation be detected, but owing to need the number of calculation level more, cause straight-line detection speed very slow, with only needing the edge calculation point after the image borderization, can improve arithmetic speed greatly;
Described image rotary module, its objective is, at first detect the angle of water gauge in horizontal direction, and water gauge is adjusted into level, detailed, this step is to utilize Hough transformation to detect two the longest parallel lines on the water gauge on the picture after the rim detection, calculating the angle of these two straight lines and horizontal direction, and by this angle image is rotated;
Described Gauss's denoising module b, the effect of this step also is that burrs on edges is removed in filtering, makes image become smooth;
Described binary conversion treatment module under the situation of a given threshold value, is changed to 0 less than the pixel of this threshold value, gray-scale value greater than this threshold value is 255, bright in other words part is set to white entirely, and dark part is set to black entirely, extracts the shape of water gauge thus;
Described size normalization module according to two black lines on the water gauge, calculates the width (promptly up and down the distance between two horizontal black lines) of water gauge, by the convergent-divergent of image, makes the distance of these two lines be certain certain value, and water gauge is moved to the picture top.
Pretreatment unit also comprises: the flating processing module, the signal output part of described flating processing module links to each other with the signal input part of gray scale processing module, described flating processing module is carried out anti-shake processing to the water gauge video image that collects, to improve the sharpness of image.
As shown in Figure 4, be distributed with a plurality of triangles that are easy to distinguish and circle on the water gauge, so that recognition unit reads water level.
Because system running speed height and system architecture unit are many, and be bigger to requirements for power supply power, define the rig-site utilization of video water level gauge to a certain extent, the utility model has adopted power management and low-power consumption algorithm, can address the above problem effectively.
The job step of video water level gauge: image capture device is gathered the water gauge video image; The water gauge video image that collects at first through the sharpness of anti-shake processing with the raising image, carries out Digital Image Processing via gray scale processing module, coarse positioning module, rim detection module, image rotary module, Gauss's denoising module a, Gauss's denoising module b, binary conversion treatment module, size normalization module respectively then; By image segmentation unit statistic histogram water gauge is divided into several zonules; By area of graph in each lattice in the recognition unit difference calculating chart, and read water level; Water level information is uploaded interface by water level and is uploaded to display system.
It should be noted that at last: the above only is preferred embodiment of the present utility model, be not limited to the utility model, although the utility model is had been described in detail with reference to previous embodiment, for a person skilled in the art, it still can be made amendment to the technical scheme that aforementioned each embodiment put down in writing, and perhaps part technical characterictic wherein is equal to replacement.All within spirit of the present utility model and principle, any modification of being done, be equal to replacement, improvement etc., all should be included within the protection domain of the present utility model.
Claims (5)
1. video water level gauge, comprise: water gauge, image capture device, DSP high speed image treatment facility, water level is uploaded interface and power-supply system, described water gauge is arranged in the acquisition range of image capture device, described image capture device, DSP high speed image treatment facility and water level are uploaded interface and are linked in sequence by data line, described power-supply system respectively with image capture device, DSP high speed image treatment facility and water level are uploaded interface and are electrically connected, it is characterized in that, described DSP high speed image treatment facility comprises: pretreatment unit, image segmentation unit and recognition unit, the signal output part of described pretreatment unit links to each other with image segmentation cell signal input end; The signal output part of described image segmentation unit links to each other with the recognition unit signal input part.
2. video water level gauge according to claim 1, it is characterized in that, described pretreatment unit comprises: gray scale processing module, coarse positioning module, rim detection module, image rotary module, Gauss's denoising module a, Gauss's denoising module b, binary conversion treatment module, size normalization module, and the signal output part of described gray scale processing module links to each other with the signal input part of coarse positioning module; The signal output part of described coarse positioning module links to each other with the signal input part of Gauss's denoising module a; The signal output part of described Gauss's denoising module a links to each other with the signal input part of rim detection module; The signal output part of described rim detection module links to each other with the signal input part of image rotary module; The signal output part of described image rotary module links to each other with the signal input part of Gauss's denoising module b; The signal output part of described Gauss's denoising module b links to each other with the signal input part of binary conversion treatment module; The signal output part of described binary conversion treatment module links to each other with the signal input part of size normalization module.
3. video water level gauge according to claim 2 is characterized in that, described pretreatment unit also comprises: the flating processing module, the signal output part of described flating processing module links to each other with the signal input part of gray scale processing module.
4. video water level gauge according to claim 1 is characterized in that, is distributed with a plurality of two kinds of figures that are easy to distinguish on the described water gauge.
5. video water level gauge according to claim 4 is characterized in that, two kinds of figures on the described water gauge are triangle and circle.
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Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102116659A (en) * | 2010-10-19 | 2011-07-06 | 中国矿业大学(北京) | Interval convergence based stock bin level detection method |
| CN102928051A (en) * | 2012-11-01 | 2013-02-13 | 清华大学 | Water gauge suitable for video detection of water level |
| CN103196514A (en) * | 2013-03-11 | 2013-07-10 | 浙江大学 | Image-based micro-chemical process liquid level detecting method |
| CN104254755A (en) * | 2013-09-10 | 2014-12-31 | 王勇 | Optical measurement system, method and scaleplate therefor |
| CN104655233A (en) * | 2015-03-08 | 2015-05-27 | 无锡桑尼安科技有限公司 | Automatic detection method for water level |
| CN104677458A (en) * | 2015-03-08 | 2015-06-03 | 无锡桑尼安科技有限公司 | Automatic water level detection device |
| CN104943830A (en) * | 2015-06-30 | 2015-09-30 | 浙江海洋学院 | Water gauge detection device based on fixed point camera shooting method |
| CN105953850A (en) * | 2016-06-27 | 2016-09-21 | 四川理工学院 | Online fluid small flow detection system based on machine vision and online fluid small flow detection method based on machine vision for float flowmeter |
| CN106557764A (en) * | 2016-11-02 | 2017-04-05 | 江西理工大学 | A kind of water level recognition methodss based on binary-coded character water gauge and image procossing |
| CN106768155A (en) * | 2016-12-22 | 2017-05-31 | 北京尚水信息技术股份有限公司 | The method that water level is measured using image procossing |
| CN106920241A (en) * | 2017-03-13 | 2017-07-04 | 华北电力大学 | A kind of steam water-level monitoring method, apparatus and system |
| CN107131934A (en) * | 2017-06-26 | 2017-09-05 | 中华人民共和国太仓出入境检验检疫局 | A kind of goods gravity measure device and Ship's Cargo weighing system |
| CN107421510A (en) * | 2017-08-28 | 2017-12-01 | 爱易成技术(天津)有限公司 | A kind of hydrologic monitoring device and method |
| TWI608221B (en) * | 2016-09-06 | 2017-12-11 | 台灣智能機器人科技股份有限公司 | Liquid level detecting system and method thereof |
| CN110715705A (en) * | 2019-10-29 | 2020-01-21 | 上海交通大学 | Paddy field water level monitoring system and method based on image acquisition |
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- 2009-12-29 CN CN2009203521062U patent/CN201600164U/en not_active Expired - Lifetime
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| CN102116659A (en) * | 2010-10-19 | 2011-07-06 | 中国矿业大学(北京) | Interval convergence based stock bin level detection method |
| CN102116659B (en) * | 2010-10-19 | 2012-12-26 | 中国矿业大学(北京) | Interval convergence based stock bin level detection method |
| CN102928051A (en) * | 2012-11-01 | 2013-02-13 | 清华大学 | Water gauge suitable for video detection of water level |
| CN103196514A (en) * | 2013-03-11 | 2013-07-10 | 浙江大学 | Image-based micro-chemical process liquid level detecting method |
| CN104254755A (en) * | 2013-09-10 | 2014-12-31 | 王勇 | Optical measurement system, method and scaleplate therefor |
| CN104254755B (en) * | 2013-09-10 | 2017-05-10 | 王勇 | Optical measurement system, method and scaleplate therefor |
| CN104677458A (en) * | 2015-03-08 | 2015-06-03 | 无锡桑尼安科技有限公司 | Automatic water level detection device |
| CN105043497A (en) * | 2015-03-08 | 2015-11-11 | 无锡桑尼安科技有限公司 | Water level automatic detection method |
| CN105043497B (en) * | 2015-03-08 | 2017-09-15 | 泰州国安医疗用品有限公司 | A kind of water level automatic checkout equipment |
| CN104655233A (en) * | 2015-03-08 | 2015-05-27 | 无锡桑尼安科技有限公司 | Automatic detection method for water level |
| CN104655233B (en) * | 2015-03-08 | 2017-07-11 | 周俊彤 | A kind of water level automatic checkout equipment |
| CN104943830A (en) * | 2015-06-30 | 2015-09-30 | 浙江海洋学院 | Water gauge detection device based on fixed point camera shooting method |
| CN105953850A (en) * | 2016-06-27 | 2016-09-21 | 四川理工学院 | Online fluid small flow detection system based on machine vision and online fluid small flow detection method based on machine vision for float flowmeter |
| CN105953850B (en) * | 2016-06-27 | 2019-04-12 | 四川理工学院 | The small flow quantity detecting system of the online fluid of suspended body flowmeter and method based on machine vision |
| TWI608221B (en) * | 2016-09-06 | 2017-12-11 | 台灣智能機器人科技股份有限公司 | Liquid level detecting system and method thereof |
| CN106557764A (en) * | 2016-11-02 | 2017-04-05 | 江西理工大学 | A kind of water level recognition methodss based on binary-coded character water gauge and image procossing |
| CN106557764B (en) * | 2016-11-02 | 2019-03-26 | 江西理工大学 | A kind of water level recognition methods based on binary-coded character water gauge and image procossing |
| CN106768155A (en) * | 2016-12-22 | 2017-05-31 | 北京尚水信息技术股份有限公司 | The method that water level is measured using image procossing |
| CN106920241A (en) * | 2017-03-13 | 2017-07-04 | 华北电力大学 | A kind of steam water-level monitoring method, apparatus and system |
| CN107131934A (en) * | 2017-06-26 | 2017-09-05 | 中华人民共和国太仓出入境检验检疫局 | A kind of goods gravity measure device and Ship's Cargo weighing system |
| CN107421510A (en) * | 2017-08-28 | 2017-12-01 | 爱易成技术(天津)有限公司 | A kind of hydrologic monitoring device and method |
| CN110715705A (en) * | 2019-10-29 | 2020-01-21 | 上海交通大学 | Paddy field water level monitoring system and method based on image acquisition |
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