CN108960070A - A kind of water level elevation detection system and its method - Google Patents
A kind of water level elevation detection system and its method Download PDFInfo
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- CN108960070A CN108960070A CN201810569654.4A CN201810569654A CN108960070A CN 108960070 A CN108960070 A CN 108960070A CN 201810569654 A CN201810569654 A CN 201810569654A CN 108960070 A CN108960070 A CN 108960070A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
Abstract
The invention discloses a kind of water level elevation detection system and its methods, and wherein system includes being arranged in river for marking water-level measuring post, image acquisition subsystem, data transmission sub-system, the image processing subsystem of river water level；Image acquisition subsystem periodically acquires the image data of water-level measuring post；The image data that image acquisition subsystem acquires is sent to data process subsystem by data transmission sub-system；Image processing subsystem handles the image received, identifies the scale mark in water-level measuring post, obtains water level elevation data.The present invention has the advantages that 1, using the detection of automation, automatic collection image simultaneously identifies waterlevel data, and detection efficiency is high, accuracy is high, round-the-clock can monitor.
Description
Technical field
The present invention relates to detection technique field more particularly to a kind of water level elevation detection system based on image procossing and its
Method.
Background technique
Water level elevation information is the important information for reflecting water body, water flow variation, and water level elevation information may be directly applied to
The work such as flood control, drought resisting, ship control.Water level elevation detection is the necessary project of each hydrometric station routine testing work,
Have the characteristics that repeatability is strong, the period is fixed, the period is short, workflow consistency is strong, whole year is without rest.
Traditional water level elevation is detected as full artificial mode, i.e., erects several water-level measuring posts, different water-level measuring posts on river bank
For measuring the water level information of different elevation ranges, water-level measuring post data, side are read in the set time by hydrometric station staff
Method is excessive to Personnel Dependence, is influenced by weather environment at that time, and measurement accuracy depends on human eye and judges precision, staff's work
Make experience, be easy to cause eye recognition inaccurate when water level real-time fluctuations are excessive, whole year be easy to cause people without rest property
The waste of power resource, this method efficiency bottom, low precision.
In addition to full artificial mode, there are also the data records for carrying out a certain period to water level using buoyant spheres driving printing equipment
Method.This method detects automatically with the water level elevation that may be implemented in a certain period and data record, but needs to consume a large amount of
For the paper of record, and its structure type determines that the random error of detection system is excessive, and mechanical structure connects for a long time in water
Aged deterioration is easy in the environment of touching, recorded data still needs to manually imported into Computer Database, and person works' amount is big.
Summary of the invention
The water level elevation detection based on image procossing that it is an object of the invention to overcome the deficiencies of the prior art and provide a kind of
System and method.
In order to achieve the above object, the technical solution of the application are as follows:
A kind of water level elevation detection system based on image procossing, including being arranged in river for marking river water level
Water-level measuring post and image acquisition subsystem, data transmission sub-system, image processing subsystem；
Image acquisition subsystem periodically acquires the image data of water-level measuring post；
The image data that image acquisition subsystem acquires is sent to data process subsystem by data transmission sub-system；
Image processing subsystem handles the image received, identifies the scale mark in water-level measuring post, obtains water
Position altitude data.
The water level elevation detection system further includes data process subsystem, inspection of the data process subsystem in setting
Record obtains multiple groups water level elevation data in the survey period, records detection initial time, detection end time, maximum stage height
Journey, lowest water level elevation calculate mean water elevation in measuring section, water level elevation fluctuation variance data, by multiple inspections
The data obtained in the period are surveyed to be stored in local data base.
The water level elevation detection system further includes data query subsystem, by calling the water level in local data base high
Number of passes is according to being checked, shown, modify operation.
Described image acquisition subsystem includes industrial camera and the industrial lens adaptable with industrial camera, the industry phase
Rain cover is set in machine and industrial lens.
The data transmission sub-system is realized using GigE transmission cable.
The image processing subsystem includes image pick-up card, image processing unit, described image capture card and image
Processing unit connection, the water level that described image processing unit goes out for identification in the water-level measuring post image that image pick-up card receives are high
Journey scale mark.
A kind of detection method of water level elevation detection system, includes the following steps:
Step 1: acquiring the image of water-level measuring post；
Step 2: the water-level measuring post image of acquisition being handled, identifies water-line target data in image, obtains water level height
Number of passes evidence.
Step 3: step 2 being repeated with the fixed cycle in a water level elevation detection time section, it is high to obtain one group of water level
Number of passes evidence records detection initial time, detection end time, finds out maximum stage elevation, lowest water level elevation, calculate
Mean water elevation, water level elevation fluctuate variance；
Step 4: obtaining water level elevation data using step 3 daily, all data are integrated, be stored in local data base
In, can data be inquired, be corrected, being shown with the water level elevation chart of any time period.
Processing is carried out to water-level measuring post image in step 2 to include the following steps:
Step 21: the obtained gray level image comprising water-level measuring post being split, using the ROI information demarcated in advance to water
Position ruler image is cut, and image only comprising water-level measuring post is obtained；
Step 22: affine transformation being carried out to water-level measuring post image using the affine transformation parameter demarcated in advance, is obtained without affine
The standard e-type mark of deformation, E type mark are the water-line target of water-level measuring post；
Step 23: gray-level histogram equalization processing is carried out to water-level measuring post, noise is filtered by mean filter,
Obtain pretreated image；
Step 24: OSTU Threshold segmentation being carried out to pretreated image, obtains the connected domain of image, calculates connected domain face
Product, filter out differed with standard e-type mark connection with area 20% connected domain；
Step 25: the obtained bianry image with E type mark being identified, identifies the E type mark in image
It is corresponding total to be converted to obtain E type mark in bianry image according to the corresponding height of standard e-type mark demarcated in advance for number
Length, then subtracting the corresponding total length of E type mark using the elevation that total water-level measuring post represents is water level elevation data.
The present invention has the advantages that 1, using the detection of automation, automatic collection image simultaneously identifies waterlevel data, detection
It is high-efficient, accuracy is high, round-the-clock can monitor.
2, small to the dependence of hydrometric station staff, round-the-clock timing water level elevation detection may be implemented, when specific
Between the detection of unattended water level elevation may be implemented, detection efficiency, which obtains, greatly to be improved；
2, water-level measuring post is identified using digital image processing techniques, precision is significantly larger than human eye detection；
3, water level elevation detection device is far from the water surface, and installs rain cover, can increase the service life of whole system；
4, full-automatic water level elevation detection and data processing may be implemented, and can automatically derive more deeper
Data information provides a large amount of more full and accurate data to hydrometric station work and hydrology profession scientific research；
5, lower all water level elevation data be can recorde, for draw the water level elevation data drawing list of any time period, display,
It finds etc. and data to be provided supports；
6, whole system high degree of automation, entire detection process do not depend on and the working experience of staff and work shape
State can allow staff to avoid carrying out repetitive operation, so that more work energy be put into other work, improve water
Text station working efficiency；
7, detection system is versatile, it is only necessary to configure the water level height that a small amount of parameter can be transplanted to other hydrometric stations
Journey detects in work, greatly reduces system cost.
Detailed description of the invention
Below to each width attached drawing of description of the invention expression content and figure in label be briefly described:
Fig. 1 is water level elevation detection system schematic diagram of the invention；
Fig. 2 is that waters is arranged in for measuring the water-level measuring post schematic diagram of waterlevel data；
Fig. 3 is the flow chart of image procossing of the present invention；
The data store organisation of the water level elevation data storage that Fig. 4 is obtained in the database；
Specific embodiment
A specific embodiment of the invention is made further detailed below against attached drawing by the description to optimum embodiment
Thin explanation.
A kind of water level elevation detection system based on image procossing, including being arranged in river for marking river water level
Water-level measuring post and image acquisition subsystem, data transmission sub-system, image processing subsystem；
Image acquisition subsystem, by the image data of preset fixed cycle property acquisition water-level measuring post；
The image data that image acquisition subsystem acquires is sent to data process subsystem by data transmission sub-system；
Image processing subsystem handles the image received, identifies the scale mark in water-level measuring post, obtains water
Position altitude data.
Data process subsystem, data process subsystem record in the detection time section of setting and obtain multiple groups water level elevation
Data record detection initial time, detection end time, maximum stage elevation, lowest water level elevation, calculate time of measuring
Mean water elevation, water level elevation fluctuate variance data in section, and the data obtained in multiple detection time sections are stored in local
In database.
Data query subsystem is checked by the water level elevation data in calling local data base, is shown, modifies behaviour
Make.
Image acquisition subsystem includes industrial camera and the industrial lens that are adapted with industrial camera, industrial camera and industry
Rain cover is set on camera lens, for protecting image acquisition subsystem, improves the service life of system.Data transmission sub-system can be with
The realization of GigE transmission cable, the transmission high quality graphic for high speed can be used in wired mode transmission.Image processing subsystem packet
Image pick-up card, image processing unit are included, image pick-up card is connect with image processing unit, and image processing unit goes out for identification
The water level elevation scale mark in water-level measuring post image that image pick-up card receives.Data process subsystem and data query system
System, the water level elevation data for being respectively used to will acquire are stored, for being inquired, being shown by way of human-computer interaction,
The operation such as modification.Computer is handled using industrial data to realize that image acquisition and processing and display query function, industry calculate
Machine is built-in with image pick-up card, image processing unit, data processing unit, display unit and the peripheral hardware for human-computer interaction,
Correlated image processing method acquisition related data is run by industrial computer and is stored in the built-in storage of computer, these
Data are stored according to scheduled format, are then inquired, display operation or are modified by human-computer interaction peripheral hardware.
Water level elevation detection method, includes the following steps:
Step 1 builds water level elevation detection system environment, calculates comprising network industries camera, industrial lens, data processing
Machine, image pick-up card, rain cover, water-level measuring post, GigE cable, first fixed placement are used to measure the water-level measuring post of water level information, so
Network industries camera, industrial lens, rain cover assembly are fixedly mounted after fixed bracket afterwards and guarantee that its visual field includes
All water-level measuring posts finally utilize GigE cable connection network industries camera and have assembled the industrial data processing of image pick-up card
Computer；Image data is acquired by detection system to enter in data processing computer；
Step 2, industrial computer Built-in Image processing unit operation image processing method identify what each water-level measuring post indicated
Water level elevation data are divided into seven steps:
Step 21, predetermined nominal data acquire the image of water-level measuring post, manually to water-level measuring post each in gray level image in advance
Position dimension is demarcated, and the ROI data of each water-level measuring post and affine transformation parameter are recorded, and applies as preset parameter
In water level elevation detections all from now on；
Step 22 is shot using network industries camera, obtains the gray level image comprising water-level measuring post；
Step 23 cuts each water-level measuring post image using the ROI information demarcated in advance, and obtaining only includes water-level measuring post
Image；
Step 24 carries out affine transformation to each water-level measuring post image using affine transformation parameter, obtains without affine deformation
Standard e-type mark, guarantee E type mark be vertically arranged from top to bottom the offset of no image X-direction, E type mark lateral stroke without the side Y
To offset；
Step 25, the image preprocessing that gray-level histogram equalization, filtering operation are carried out to water-level measuring post image；
Step 26 carries out Threshold segmentation and Connected area disposal$ to water-level measuring post image, filters out connected domain area and standard e-type
The connected domain that mark connected domain area has big difference, to filter out the water surface and other noises；
Step 27 carries out the detection of X-direction pixel histogram to the obtained bianry image with E type mark；
Step 28 carries out the calculating of E type number of patterns by X-direction pixel histogram data；X-direction histogram refers to the side X
To pixel and, that is, represent the length of the X-direction of lateral stroke.By comparison to determine whether being E type pattern, then
It calculates the corresponding length of E type pattern and then converts and obtain water level elevation；
Step 3 repeats step 2 in a water level elevation detection time section with the fixed cycle, and it is high to obtain one group of water level
Number of passes evidence records detection initial time, detection end time, finds out maximum stage elevation, lowest water level elevation, calculate
Mean water elevation, water level elevation fluctuate variance；
Step 4 all obtains water level elevation data using step 3 daily, and all data are integrated, local number is stored in
According in library, data is inquired using water level elevation detection system data processing software, artificial correction, shown on software
The water level elevation chart of any time period.
The hardware system built include selection MV-EM200M model network industries camera, M0814-MP2 tight shot,
IPC-610H model has the industrial personal computer, single channel MV-EGigE image pick-up card and its mating GigE cable, three of PCIEx4 slot
5 meters of high water level rulers of root, to build water level elevation detection system, 15 meters of camera distance water-level measuring post remote, and installation site guarantee can clap
All water-level measuring posts are taken the photograph, as shown in Figure 1, three water-level measuring posts are different water levels for identification, are come in a manner of being overlapped mutually most
Water level when high water level, in peak level, remaining two water-level measuring post floods, the water level of last root water-level measuring post, which adds, to be flooded
The length of water-level measuring post is water level.Industrial camera, camera lens are arranged by supporting mechanism at distance three for acquiring image data
At 15 meters of water-level measuring post.
An image, the artificial ROI letter for obtaining each water-level measuring post in three water-level measuring posts of calibration are first acquired using preceding in system
Breath and affine deformation information, as the preset parameter to post-process image.Such as go out in image three according to the image tagged of shooting
Region where water-level measuring post difference shoots the water-level measuring post of photo in picture since camera is fixed setting every time
Position is substantially stationary, by the ROI region parameter where the artificial calibration water-level measuring post to the first picture, for the figure shot below
Piece directly cuts the image removed except water-level measuring post, reduces interference.The purpose of affine transformation be so that E phenotypic marker is smooth vertical and horizontal,
The parameter of affine transformation is recorded, is used by demarcating rotation transformation parameter in advance until reaching transverse screen data by rotation transformation
It is converted by identical affine transformation parameter when respectively in image recognition so that smooth vertical and horizontal, this thing is smooth vertical and horizontal
Single E phenotypic marker is denoted as standard e-type label, measures to standard e-type label, calibrates the face of standard e-type label connected domain
Product fluctuates very little by the pixel number of identical one E phenotypic marker of transformation, can mark to obtain standard by pixel number
E phenotypic marker connected domain area.
After hardware installation and parameter calibration, the pictorial information of acquisition is sent to industrial personal computer and carries out image procossing, it should
Steps flow chart as shown in figure 3, specifically: shot using network industries camera, obtain the gray level image comprising water-level measuring post, benefit
Each water-level measuring post image is cut with the ROI information demarcated in advance, obtains 3 only comprising the image of water-level measuring post, such as Fig. 2 institute
Show, for a wherein water-level measuring post image, affine transformation is carried out to each water-level measuring post image using affine transformation parameter, is obtained without imitative
The standard e-type mark of deformation is penetrated, E type mark is vertically arranged the transverse direction of no image X-direction offset, E type mark from top to bottom at this time
Stroke is deviated without Y-direction, carries out gray-level histogram equalization to water-level measuring post image, its tonal range is widened to 0-255, is utilized
Mean filter is filtered noise, carries out OSTU Threshold segmentation to every water-level measuring post image respectively, then obtain each connection
The information in domain, filters the connected domain for differing 50% or more with standard e-type mark connected domain area that (resolution ratio reaches 1/
2 each E type marks), to obtain removing the E type mark bianry image of the water surface and noise, to the obtained two-value with E type mark
Image identify the quantity of E type mark, is then converted according to the corresponding altitude data of an E type mark demarcated in advance
At water level elevation, high number of passes total on the water surface is thus calculated, the water of shooting is then subtracted by total elevation of three water-level measuring posts
Water-level measuring post elevation on face is equal to the elevation under water level, that is, the altitude data of water level.
The number for calculating the E type mark in the bianry image with E type mark can have E type mark using to what is obtained
Bianry image identify the lateral stroke of E phenotypic marker, then carry out the inspection of X-direction pixel histogram to top from below image
Survey, pixel histogram refer to the X-direction pixel of pixel and namely lateral stroke with, to characterize the length of lateral stroke, as
Plain histogram height with measure each stroke that obtained standard e-type marks pixel in the X direction in advance and (height) is done pair
Than illustrating that the horizontal line belongs to a lateral stroke of E type mark, from bottom to top successively identifying institute to image when comparing consistent
Lateral stroke whether be E type mark lateral stroke, count the quantity in three figures, then every three lateral strokes corresponding one
The height of a standard e-type mark converts to judge the number of E type mark, finally obtains height on the water surface, then
With in the total height subtracted image of water-level measuring post on the water surface height, to calculate underwater water-level measuring post length i.e. water level elevation number
According to.Or carry out judging E type mark quantity by the way of area, know using to the obtained bianry image with E type mark
The area of envelope encirclement Chu not be closed, a standard e-type label can form a closed envelope and calculate separately out in image
The envelope size of all closed envelope compositions, with " E " word packet in the standard e-type mark that progress affine transformation obtains in advance
Network area is compared, and if they are the same or difference is less than preset error value, then it is assumed that envelope composition is a standard e-type mark
Will, successively by the upper envelope for successively identifying E type mark all in image, then according to the corresponding elevation of each E type mark
It converts, finally obtains the length of water-level measuring post on the water surface, subtracting length on the water surface by total length is length under water level
It is exactly water level elevation data.
In a water level elevation detection time section 10min, step 3 is repeated by the period of 30sec, obtains one group
Water level elevation data record detection initial time, detection end time, find out maximum stage elevation, lowest water level elevation,
The mean values of 20 data is calculated as mean water elevation, the variance water level elevation for calculating 20 data and fluctuates variance.It will
Data are stored into database, and database purchase format illustraton of model is as shown in Figure 4.
Water level elevation data all are obtained using step 3 daily then to be stored, and computer and peripheral hardware, display are utilized
Device etc. inquires data, artificial correction is passed through by showing the water level elevation chart of any time period in software control
The data acquired generate software according to operation icon and automatically generate the data drawing list in the period, and monitoring personnel is facilitated to look into
It sees.
Obviously present invention specific implementation is not subject to the restrictions described above, as long as using method concept and skill of the invention
The improvement for the various unsubstantialities that art scheme carries out, it is within the scope of the present invention.
Claims (9)
1. a kind of water level elevation detection system, including being arranged in for marking the water-level measuring post of river water level in river, feature exists
In: it further include image acquisition subsystem, data transmission sub-system, image processing subsystem；
Image acquisition subsystem periodically acquires the image data of water-level measuring post；
The image data that image acquisition subsystem acquires is sent to data process subsystem by data transmission sub-system；
Image processing subsystem handles the image received, identifies the scale mark in water-level measuring post, obtains water level height
Number of passes evidence.
2. a kind of water level elevation detection system as described in claim 1, it is characterised in that: it further include data process subsystem,
The data process subsystem records in the detection time section of setting and obtains multiple groups water level elevation data, records detection starting
Time, detection end time, maximum stage elevation, lowest water level elevation, calculate mean water elevation, water in measuring section
Position elevation fluctuates variance data, and the data obtained in multiple detection time sections are stored in local data base.
3. a kind of water level elevation detection system as claimed in claim 2, it is characterised in that: it further include data query subsystem,
It checked by the water level elevation data in calling local data base, shown, modify operation.
4. a kind of water level elevation detection system as described in claim 1, it is characterised in that: described image acquisition subsystem includes
Industrial camera and the industrial lens being adapted with industrial camera, are arranged rain cover in the industrial camera and industrial lens.
5. a kind of water level elevation detection system as described in claim 1-4 is any, it is characterised in that: the data transmission system
System is realized using GigE transmission cable.
6. a kind of water level elevation detection system as described in claim 1-4 is any, peculiar to be: the image procossing subsystem
System includes image pick-up card, image processing unit, and described image capture card is connect with image processing unit, and described image processing is single
Member goes out the water level elevation scale mark in the water-level measuring post image that image pick-up card receives for identification.
7. a kind of detection method of water level elevation detection system as described in claim 1-6 is any, it is characterised in that: including such as
Lower step:
Step 1: acquiring the image of water-level measuring post；
Step 2: the water-level measuring post image of acquisition being handled, identifies water-line target data in image, obtains water level elevation number
According to.
8. a kind of water level elevation detection method as claimed in claim 7, it is characterised in that: further include step 3: in a water level
Elevation detection time section repeats step 2 with the fixed cycle, obtains one group of water level elevation data, when recording detection starting
Between, detection the end time, find out maximum stage elevation, lowest water level elevation, calculate mean water elevation, water level elevation wave
Dynamic variance；
Step 4: water level elevation data are obtained using step 3 daily, all data are integrated, are stored in local data base,
Data can be inquired, be corrected, being shown with the water level elevation chart of any time period.
9. a kind of water level elevation detection method as claimed in claim 7, it is characterised in that: in step 2 to water-level measuring post image into
Row processing includes the following steps:
Step 21: the obtained gray level image comprising water-level measuring post being split, using the ROI information demarcated in advance to water-level measuring post
Image is cut, and image only comprising water-level measuring post is obtained；
Step 22: affine transformation being carried out to water-level measuring post image using the affine transformation parameter demarcated in advance, obtains no affine deformation
Standard e-type mark image, E type mark be water-level measuring post water-line target；
Step 23: gray-level histogram equalization processing is carried out to water-level measuring post image, noise is filtered by mean filter,
Obtain pretreated image；
Step 24: OSTU Threshold segmentation is carried out to pretreated image, obtains the connected domain of image, calculates connected domain area,
Filter out the connected domain that setting value is differed by more than with standard e-type mark connection and area；
Step 25: the obtained bianry image with E type mark is identified, identifies the number of the E type mark in image,
Converted to obtain the corresponding total length of E type mark in bianry image according to the corresponding height of standard e-type mark demarcated in advance,
Then subtracting the corresponding total length of E type mark using the elevation that total water-level measuring post represents is water level elevation data.
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| CN110348324A (en) * | 2019-06-20 | 2019-10-18 | 武汉大学 | A kind of flood based on remote sensing big data floods analysis method and system in real time |
| CN110348324B (en) * | 2019-06-20 | 2022-06-14 | 武汉大学 | Flood real-time flooding analysis method and system based on remote sensing big data |
| CN110853077A (en) * | 2019-10-17 | 2020-02-28 | 广西电网有限责任公司电力科学研究院 | Self-adaptive infrared dynamic frame feature extraction method based on morphological change estimation |
| CN110909640A (en) * | 2019-11-11 | 2020-03-24 | 浙江大华技术股份有限公司 | Method and device for determining water level line, storage medium and electronic device |
| CN112161670A (en) * | 2020-09-22 | 2021-01-01 | 长江水利委员会水文局长江上游水文水资源勘测局 | River channel water level correction method considering time sequence and spatial structure |
| CN112991425A (en) * | 2021-04-28 | 2021-06-18 | 武汉光谷信息技术股份有限公司 | Water area water level extraction method and system and storage medium |
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Application publication date: 20181207 |