CN109186706A - A method of for the early warning of Urban Storm Flood flooding area - Google Patents
A method of for the early warning of Urban Storm Flood flooding area Download PDFInfo
- Publication number
- CN109186706A CN109186706A CN201810974111.0A CN201810974111A CN109186706A CN 109186706 A CN109186706 A CN 109186706A CN 201810974111 A CN201810974111 A CN 201810974111A CN 109186706 A CN109186706 A CN 109186706A
- Authority
- CN
- China
- Prior art keywords
- module
- water
- water gauge
- urban storm
- flood
- 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.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F23/00—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm
- G01F23/02—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm by gauge glasses or other apparatus involving a window or transparent tube for directly observing the level to be measured or the level of a liquid column in free communication with the main body of the liquid
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L11/00—Measuring steady or quasi-steady pressure of a fluid or a fluent solid material by means not provided for in group G01L7/00 or G01L9/00
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P5/00—Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Aviation & Aerospace Engineering (AREA)
- Fluid Mechanics (AREA)
- Measurement Of Levels Of Liquids Or Fluent Solid Materials (AREA)
- Image Processing (AREA)
Abstract
A method of for the early warning of Urban Storm Flood flooding area, it is characterised in that: including four functional modules: (M1) Urban Storm Flood flooded area water level observes module in real time；(M2) sensor of Urban Storm Flood flooded area municipal pipeline lays module；(M3) warning index computing module；(M4) live and early warning plane domain output module.The beneficial effects of the present invention are: 1, rain flood during, city manager can mutually confirm rain flood flooding area waterlevel data with Surface Picture, so that data measured is more convincing and effective；2, a kind of new Urban Storm Flood flooding area level measurement device and method are provided；3, the water-break graph of rain flood flooding area can be relatively accurately predicted.
Description
Technical field
The present invention relates to the method for early warning of Urban Storm Flood, especially a kind of for carrying out the flooding area early warning of rain flood in city
Method.
Background technique
Due to city low laying areas in heavy rain impeded drainage, often will form Urban Storm Flood flooding area.Flooding area vehicle
Personnel's passage has biggish security risk.Therefore it needs to survey the rainwater water level and the depth of water of rain flood flooding area in heavy rain
Amount, and by the publication of real-time depth of water situation on professional website and public Internet site.
Traditional hydrographic survey and forecasting mode primarily directed in river water level and discharge process measure and in advance
Report, the measurement flood to Urban Storm Flood and forecast are not applicable.It is mainly manifested in following several respects:
1, traditional water level measurement method generally takes traditional water gauge manually to read or float-type self recording level meter, water
Position can be transmitted to rapidly flood control center；But generally it can not can not be also arranged by manually reading data in Urban Storm Flood area
Self recording level meter, the data measured are also transmitted to flood control center without special line；Therefore traditional water level measurement method is unable to satisfy city
The level measuring in the area Yu Hong of city.In addition there is its particularity in Urban Storm Flood flooded area.Rain flood flooded area is in most cases
Be it is dry, only rain flood occur when just have water level, and early-warning and predicting and covering of the water level value to city flooding area
Range judgement influences very big.Using above traditional measurement method, field condition can not be understood in real time.In the absence of water, with
Upper each device cannot obtain any waterlevel data.During rain flood, city manager can not recognize whether bottom scene has and flood
Do not occur.Therefore the device for needing a kind of water level and Surface Picture mutually to confirm.In order to by waterlevel data and on-site actual situations
Mutually confirmation, the device for needing a kind of Urban Storm Flood flooded area water level to observe in real time.
2, it is that relationship is most between dyke elevation that traditional river water level measurement, which is concerned with water level and flow, especially water level,
To be close, therefore water level major embodiment is height value；And Urban Storm Flood flooding area more concerned be flooding area the depth of water
Have mostly deep, if can be open to traffic, if can walk etc., existing level measuring can not provide this type of information.
3, the early warning of rain flood flooding area and the early warning of flood are entirely different.Rain flood flooding area in city can all be covered with municipal administration
Pipe network, when heavy rain occurs, all city planting ductworks can all intake, and many times rain flood flooding area is in more low-lying in city
Area, rainwater cannot be discharged from drainage pipeline networks, many times can even flow backward from the pipe network on highland to the pipe network of low land, make
Become water inlet pipe at drainpipe, and when heavy rain reduces, drainpipe just starts to play a role, but since the blocking runner of sundries is past
It is past unsmooth.When heavy rain occurs, also can not accurately be obtained by the water (flow) direction of traditional mathematical simulation calculation pipeline in water-break
Obtain drainage speed, therefore forecasting and warning time inaccuracy.
Summary of the invention
A method of for the early warning of Urban Storm Flood flooding area, being just to provide one kind can be when heavy rain occurs, and actual measurement is simultaneously
The method that early warning is carried out to Urban Storm Flood flooding area.
Specifically, a kind of method for the early warning of Urban Storm Flood flooding area of the present invention, including four functional modules:
(M1) Urban Storm Flood flooded area water level observes module in real time；
(M2) sensor of Urban Storm Flood flooded area municipal pipeline lays module；
(M3) warning index computing module；
(M4) live and early warning plane domain output module.
Above-mentioned: (M1) Urban Storm Flood flooded area water level observes module in real time, comprising: (M1-1) Urban Storm Flood flooding area
The device and a kind of (M1-2) water level measurement method that domain water level is observed in real time；
(M1-1) device that Urban Storm Flood flooded area water level is observed in real time, it is round-the-clock automatic in such a way that video is handled
Observing water gauge obtains real time water level, comprising: image capture module；Water gauge module；Handle transmission module；Power supply module；Machinery branch
Frame；Cabinet；Wherein,
Described image acquisition module, comprising: clock trigger, 8mm camera, lighting unit, for complete under various environment
Weather collection site water gauge image；
The lighting unit includes: infrared light supply, LED light source；
The water gauge module, comprising: water gauge is for showing water level；Water ga(u)ge level pattern library, water gauge two dimensional code are used for water
Height datum in ruler and water ga(u)ge level pattern library corresponds；
The processing transmission module, comprising: hop and processing part, the hop is 4G adapter, is led to
It crosses 4G network and processing unit split-phase connects, the processing part is calculation server and data backup cloud；
The machinery mount is the stainless steel tube of diameter 5cm wall thickness 3mm, is provided with stainless steel pallet and crossbeam；
The image capture module is erected on machinery mount, 8mm camera and lighting unit towards distance bracket 5~
Water gauge module at 25m distance；Water gauge in water gauge module is fixed on stable basal plane, water gauge two dimensional code show water gauge most
Beside high water level, water ga(u)ge level pattern library is stored in calculation server, and the processing transmission module is installed in the chassis, machine
Case is fixed on machinery mount, and power supply module is also secured on machinery mount, and to processing transmission module and image capture module
Power supply.Cabinet and image capture module are installed at the above 1m of highest water level on records, and all have IP68 degree of protection.
A kind of device observed in real time for Urban Storm Flood flooded area water level, comprising the following steps:
Step 1: collection site water gauge image is set according to clock trigger；
Step 2: transmission image data to calculation server and data backup cloud；
Step 3: water gauge position in Automatic-searching image；
Step 4: processing image data calculates water level numerical value；
Step 5: data are shown and user's interaction.
(M1-2) a kind of water level measurement method, for being identified to the water gauge photo with " E " character pattern, with measurement
Water level value is obtained, described method includes following steps:
Step A: image preprocessing step: the image in the water gauge photo is carried out at median filtering and image equilibration
Reason removes local noise and enhancing contrast in described image, to obtain preliminary examination altimetric image；
Step B: to the advanced row color extraction of the preliminary examination altimetric image, binary image is converted it into；Detect described two
" E " character pattern in value image, position of " E " character pattern on water gauge described in record；
Step C: according to position of " E " character pattern on water gauge, the position of " E " character center point topmost is obtained
It sets.30 pixel distances are extended to the X-coordinate of the position to the left, extend up 60 pixels, so that it is determined that the original in water gauge region
Point position；Further according to water gauge shared Pixel Dimensions on the image, water gauge topography is finally extracted；
Step D: straight-line detection is carried out to the water gauge topography using Hough line detection algorithm, obtains institute in region
Some straight line set；According to the testing result of " E " character, straight line is screened, is only retained straight in all " E " character ranges
Line；Straight line is screened according to slope, is only retained close to vertical straight line；Y coordinate is maximum on all straight lines after acquisition screening
Value and minimum value, and vertical straight line is done with any one X-coordinate position in " E " character range, obtain the water gauge of the final water surface or more
Line, to obtain the Y coordinate pixel value of the intersection of the water surface and water gauge；
Step E: shooting a water gauge image after camera and water gauge are all fixed, obtains water gauge pixel value and its corresponding
Actual value simultaneously saves；The data of preservation are fitted by the way of fitting of a polynomial, obtain water gauge pixel value and actual value
Between relation formula；
Step F: it by relation formula obtained by calibrating in the substitution of Y coordinate pixel value described in step D step E, calculates
To final water level value.
Preferably, the water level measurement method may further include following steps:
In advance by multiple preliminary examination altimetric images obtained by step A, color extraction is first carried out, binary picture is converted it into
Picture；
100 complete " E " character pictures are intercepted on the binary image, the positive sample as machine learning training
This, while intercepting 2000 at random on the binary image and not including the background image of " E " character as negative sample；
Size normalized is carried out to the positive and negative samples, and to the respective Haar-like feature of all sample extractions
And it saves；
The Haar-like feature of the positive and negative samples is input in the Adaboost classifier constructed and is trained,
Obtain training data；
In the step B, when " E " character pattern is detected in the binary image, read in the trained data,
Meet the position of " E " character feature in the trained data in traversal whole image, as described " E " character pattern is in water
Position on ruler.
The sensor of above-mentioned (M2) Urban Storm Flood flooded area municipal pipeline lays module, comprising: the city (M2-1) rain
Big vast flooded area sensor type and (M2-2) sensor distribution method；
(M2-1) flooded area sensor type is pressure sensor and flow sensor；
(M2-2) sensor distribution method is that pressure sensor is arranged in the bottom of all vertical wells of municipal administration；All
Flow sensor is arranged in the interface of municipal horizontal well and vertical well；The diameter of propeller blade of flow sensor is 1.5cm, to avoid dirt
Object winding, it is that the sensor of 1.5cm is just avoided that the dirt in city planting ductwork is wound that inventor's discovery, which only has diameter,.
Above-mentioned (M3) warning index computing module, is realized using following steps:
Precision Elevation measurement is carried out to the region that 2 years one are submerged when meeting heavy rain occurs in city in history, obtains essence
Degree is the three-dimensional land map of 10cm；Based on this topographic map, periphery combines bottom of the city map of 1:200 as numerical modeling
Figure；The flood model in city is established in conjunction with 1:1 pipe network situation.The data of (M2-2) actual measurement are passed to flood model and carry out predicted value
The prediction water-break graph being calculated is published on open website by real time correction.
Above-mentioned (M4) is live and early warning plane domain output module includes: (M4-1) live module；(M4-2) warning module；
(M4-1) (M1-1) data obtained and photo are passed directly on open website by live module；
(M4-2) the prediction water-break graph that (M3) is obtained is published on website by warning module.
The beneficial effects of the present invention are:
1, during rain flood, city manager can mutually confirm rain flood flooding area waterlevel data with Surface Picture, make
It is more convincing and effective to obtain data measured；
2, a kind of new Urban Storm Flood flooding area level measurement device and method are provided；
3, the water-break graph of rain flood flooding area can be relatively accurately predicted.
Detailed description of the invention
Fig. 1 is Urban Storm Flood flooding area level measurement device scheme of installation of the present invention；
Fig. 2 is that data processing of the present invention saves schematic diagram；
Fig. 3 is the water-break graph comparison of real time correction of the present invention and non real-time correction.
Specific embodiment
The embodiment of the present invention is described in detail with reference to the accompanying drawing, so that advantages and features of the invention can be easier to
In being readily appreciated by one skilled in the art, so as to make a clearer definition of the protection scope of the present invention.
A method of for the early warning of Urban Storm Flood flooding area, being just to provide one kind can be when heavy rain occurs, and actual measurement is simultaneously
The method that early warning is carried out to Urban Storm Flood flooding area.
Specifically, a kind of method for the early warning of Urban Storm Flood flooding area of the present invention, including four functional modules:
(M1) Urban Storm Flood flooded area water level observes module in real time；
(M2) sensor of Urban Storm Flood flooded area municipal pipeline lays module；
(M3) warning index computing module；
(M4) live and early warning plane domain output module.
Above-mentioned: (M1) Urban Storm Flood flooded area water level observes module in real time, comprising: (M1-1) Urban Storm Flood flooding area
The device and a kind of (M1-2) water level measurement method that domain water level is observed in real time；
Round-the-clock automatic Observation water gauge obtains real time water level in such a way that video is handled, comprising: image capture module；Water
Ruler module；Handle transmission module；Power supply module；Machinery mount 4；Cabinet 5；Wherein,
Described image acquisition module, comprising: clock trigger, 8mm camera 1, lighting unit 2, under various environment
Round-the-clock collection site water gauge image；
The lighting unit includes: infrared light supply, LED light source；
The water gauge module, comprising: water gauge 3, for showing water level；Water ga(u)ge level pattern library, water gauge two dimensional code, being used for will
Height datum in water gauge and water ga(u)ge level pattern library corresponds；
The processing transmission module, comprising: hop and processing part, the hop is 4G adapter, is led to
It crosses 4G network and processing unit split-phase connects, the processing part is calculation server and data backup cloud；
The machinery mount 4 is the stainless steel tube 41 of diameter 5cm wall thickness 3mm, is provided with stainless steel pallet 42 and crossbeam
43；
The image capture module is erected on machinery mount 4, and 8mm camera 1 and lighting unit 2 are towards distance bracket
Water gauge 3 at 5~25m distance；Water gauge 3 is fixed on stable basal plane, and water gauge two dimensional code is shown by the peak level of water gauge 3
Side, water ga(u)ge level pattern library are stored in calculation server, and the processing transmission module is mounted in cabinet 5, and cabinet 5 is fixed
On machinery mount 4, power supply module is also secured on machinery mount 4, and to processing transmission module and image capture module power supply.
Cabinet 5 and image capture module are installed at the above 1m of highest water level on records, and all have IP68 degree of protection.
A kind of device observed in real time for Urban Storm Flood flooded area water level, comprising the following steps:
Step 1: collection site water gauge image is set according to clock trigger；
Step 2: transmission image data to calculation server and data backup cloud；
Step 3: water gauge position in Automatic-searching image；
Step 4: processing image data calculates water level numerical value；
Step 5: data are shown and user's interaction.
Water level measurement method of the invention is equally a kind of measurement method based on image recognition technology, be exclusively used in pair
Water gauge photo with " E " character pattern is identified, to measure acquisition water level value, is shown as shown in Figure 1 according to this hair
The schematic diagram of the water level measurement method of a bright specific embodiment.
Such as figure, the water gauge with " E " character pattern is elongated cylindrical, and it is sudden and violent to be generally disposed at field lake, river, city
The horizontal line of the monitoring water levels such as rain position, " E " character pattern on water gauge is horizontally disposed, and vertical line is perpendicular to the water surface, adjacent " E " character
Scale number is marked between pattern, to indicate water level value.That is, in water level measurement method of the invention, the use of setting
In environment, " E " character pattern is had on water gauge, horizontal line and vertical line with standard may be used as the label of identification, be not necessarily to
Set specific identifier.And when setting up water gauge, the corresponding height of water level of " E " character pattern on water gauge is via scale
Digital representation comes out, and the photo Direct Recognition of shooting goes out " E " character pattern you can learn that corresponding scale number, water level value is just
It is very clear.
Certainly, when actual measurement, some technical problems needs still overcome, it below will be to this further specifically
It is bright.As shown, water level measurement method of the invention includes the following steps:
Step A: image preprocessing step: the image in the water gauge photo is carried out at median filtering and image equilibration
Reason removes local noise and enhancing contrast in described image, to obtain preliminary examination altimetric image.I.e., it is contemplated that the water gauge of input
The shooting environmental of image is field river, lake, and the scenes such as (under viaduct) at urban waterlogging monitoring, weather environment is uncontrollable
Factor, fine day, cloudy day, rainy day etc..Therefore, median filtering first is carried out to image and image equilibration is handled, remove image local
Noise and enhancing contrast, achieve the effect that amplify water gauge feature.
Step B: to the advanced row color extraction of the preliminary examination altimetric image, binary image is converted it into；Detect described two
" E " character pattern in value image, position of " E " character pattern on water gauge described in record.Due to " E " character figure on water gauge
Case is usually obvious with the background color difference of water gauge, and to avoid shade, dirt, water plant etc. from causing image interference, water gauge image is converted
At binary image, so that biggish " E " character pattern of difference can carry out numeric ratio pair by digitized mode.Example
Such as, in binary image in post-conversion, theoretically for, the numerical approximation of background color is identical, and the numerical value of " E " character pattern is also close
Patibhaga-nimitta is same, but background color numerical value and " E " character pattern have biggish numerical difference, by by pixel each in binary image
Numerical value is compared, and can will detected with respect to apparent " E " character pattern of background color numerical value difference, on the water gauge in pattern,
Each " E " character pattern can be detected by way of traversing each pixel, obtain " E " character pattern on water gauge
Position.
Certainly, the numeric ratio of simple binary image to may in light condition poor, spot and the more feelings of water plant
Under condition, sizable detection error is formed, for exclusive PCR, improves detection accuracy, the invention also provides pass through engineering
The mode of habit, the method for forming the training data for comparison.Specifically, the present invention can further include following steps:
In advance by multiple preliminary examination altimetric images obtained by step A, color extraction is first carried out, binary picture is converted it into
Picture；100 complete " E " character pictures are intercepted on the binary image, as the positive sample of machine learning training, simultaneously
It intercepts 2000 at random on the binary image and does not include the background image of " E " character as negative sample；To described positive and negative
Sample carries out size normalized, and to the respective Haar-like feature of all sample extractions and saves；It will be described positive and negative
The Haar-like feature of sample, which is input in the Adaboost classifier constructed, to be trained, and training data is obtained.It is above to be
The method and step of training data for formation of the invention for comparison, this method step mainly use Adaboost classification to combine
The machine learning mode of Haar-like feature detects visible " E " characters all on water gauge image.
In the forming process of above-mentioned training data of the invention, difference can be collected in for trained preliminary examination altimetric image
Water gauge set up position, be used to compare acquisition sample is more, source is more extensive, the precision of the training data formed is got over
Height, it is representative better, it can be widely applied to the detection of " E " character pattern of the various water gauges with " E " character pattern.Namely
Sample of the present invention for training, it is not limited to which specific water gauge position is also not limited to the specific time, as long as by various
After the image of the water gauge of " E " character pattern carries out binaryzation, can be formed using above-mentioned same training method can be used for this hair
The training data of bright or other detection techniques, the training data have a wide range of application, and precision is high, can be used to obtain more accurate
Testing result.
After obtaining training data, the image for needing to identify first carries out binaryzation, enters step B later and is detected, inspection
When surveying in the binary image " E " character pattern, the trained data are read in, traverses in whole image and meets the instruction
The position of " E " character feature in the data perfected, as described position of " E " character pattern on water gauge.
Step C: according to position of " E " character pattern on water gauge, the position of " E " character center point topmost is obtained
It sets.30 pixel distances are extended to the X-coordinate (abscissa of horizontal direction) of the position to the left, extend up 60 pixels, from
And determine the origin position in water gauge region；Further according to water gauge shared Pixel Dimensions on the image, water gauge part is finally extracted
Image.The key of this step is the top image for obtaining entire water gauge, to obtain the top termination of water gauge, to as water gauge
Identification origin, cause identification error with to avoid blocking at the top of water gauge.
Step D: straight-line detection is carried out to the water gauge topography using Hough line detection algorithm, obtains institute in region
Some straight line set；According to the testing result of " E " character, straight line is screened, is only retained straight in all " E " character ranges
Line；Straight line is screened according to slope, is only retained close to vertical straight line；Y coordinate is (vertical on all straight lines after acquisition screening
The ordinate in direction) maximum value and minimum value, and vertical straight line is done with any one X-coordinate position in " E " character range, it obtains most
The water gauge line more than whole water surface, to obtain the Y coordinate pixel value of the intersection of the water surface and water gauge.
Step E: shooting a water gauge image after camera and water gauge are all fixed, obtains water gauge pixel value and its corresponding
Actual value simultaneously saves；The data of preservation are fitted by the way of fitting of a polynomial, obtain water gauge pixel value and actual value
Between relation formula.
The step is the parameter calibration that the relation formula of water gauge pixel value and actual value is obtained by manually mode in fact
Process.Just it has been observed that due to when setting up water gauge, the corresponding height of water level of " E " character pattern on water gauge is via quarter
Degree word shows, and the photo Direct Recognition of shooting, which goes out " E " character pattern, can know corresponding scale number, so
And scale number needs are gone out by photo array and are manually judged, it cannot accomplish image automatic identification process.Therefore, this step
Suddenly a parameter calibration step is provided, i.e., a water gauge is shot after camera and water gauge are fixed for each water gauge position
Image can identify the corresponding real water level of each pixel value on water gauge in advance by computer or manual type
These correspondence numerical value are saved carry out fitting of a polynomial, the relationship between available water gauge pixel value and actual value by value
Formula, that is, one can pass through the parameter calibration formula of machine automatic comparison.
Step F: it by relation formula obtained by calibrating in the substitution of Y coordinate pixel value described in step D step E, calculates
To final water level value.
(M3) warning index computing module is realized using following steps:
Precision Elevation measurement is carried out to the region that 2 years one are submerged when meeting heavy rain occurs in city in history, obtains essence
Degree is the three-dimensional land map of 10cm；Based on this topographic map, periphery combines bottom of the city map of 1:200 as numerical modeling
Figure；The flood model in city is established in conjunction with 1:1 pipe network situation.The data of (M2-2) actual measurement are passed to flood model and carry out predicted value
The prediction water-break graph being calculated is published on open website by real time correction.
Above-mentioned (M4) is live and early warning plane domain output module includes: (M4-1) live module；(M4-2) warning module；
(M4-1) (M1-1) data obtained and photo are passed directly on open website by live module；
(M4-2) the prediction water-break graph that (M3) is obtained is published on website by warning module.
Claims (2)
1. a kind of method for the early warning of Urban Storm Flood flooding area, it is characterised in that: including four functional modules:
(M1) Urban Storm Flood flooded area water level observes module in real time；
(M2) sensor of Urban Storm Flood flooded area municipal pipeline lays module；
(M3) warning index computing module；
(M4) live and early warning plane domain output module.
Described: (M1) Urban Storm Flood flooded area water level observes module in real time, comprising: (M1-1) Urban Storm Flood flooded area water
The device and a kind of (M1-2) water level measurement method that position is observed in real time；For being carried out to the water gauge photo with " E " character pattern
Identification, to measure acquisition water level value；
The sensor of (M2) the Urban Storm Flood flooded area municipal pipeline lays module, comprising: (M2-1) Urban Storm Flood is flooded
Do not have area sensor type and (M2-2) sensor distribution method；
Described (M3) the warning index computing module, is realized using following steps:
Precision Elevation measurement is carried out to the region that 2 years one are submerged when meeting heavy rain occurs in city in history, obtaining precision is
The three-dimensional land map of 10cm；Based on this topographic map, periphery combines base map of the city map of 1:200 as numerical modeling；
The flood model in city is established in conjunction with 1:1 pipe network situation.The data of (M2-2) actual measurement are passed to flood model and carry out predicted value reality
The prediction water-break graph being calculated is published on open website by Shi Jiaozheng.
(M4) is live and early warning plane domain output module includes: (M4-1) live module；(M4-2) warning module；
(M4-1) (M1-1) data obtained and photo are passed directly on open website by live module；
(M4-2) the prediction water-break graph that (M3) is obtained is published on website by warning module.
2. a kind of method for the early warning of Urban Storm Flood flooding area according to claim 1, it is characterised in that: described
(M1-1) device that Urban Storm Flood flooded area water level is observed in real time includes: image capture module；Water gauge module；Processing transmission mould
Block；Power supply module；Machinery mount；Cabinet；Wherein, described image acquisition module, comprising: clock trigger, shines 8mm camera
Bright unit, for round-the-clock collection site water gauge image under various environment；
The lighting unit includes: infrared light supply, LED light source；
The water gauge module, comprising: water gauge is for showing water level；Water ga(u)ge level pattern library, water gauge two dimensional code, for by water gauge with
Height datum in water ga(u)ge level pattern library corresponds；
The processing transmission module, comprising: hop and processing part, the hop is 4G adapter, passes through 4G
Network and processing unit split-phase connect, and the processing part is calculation server and data backup cloud；
The machinery mount is the stainless steel tube of diameter 5cm wall thickness 3mm, is provided with stainless steel pallet and crossbeam；
The image capture module is erected on machinery mount, and 8mm camera and lighting unit are towards 5~25m of distance bracket
Water gauge module at distance；Water gauge in water gauge module is fixed on stable basal plane, and water gauge two dimensional code shows the highest in water gauge
Beside water level, water ga(u)ge level pattern library is stored in calculation server, and the processing transmission module is installed in the chassis, cabinet
It is fixed on machinery mount, power supply module is also secured on machinery mount, and is supplied to processing transmission module and image capture module
Electricity；Cabinet and image capture module are installed at the above 1m of highest water level on records, and all have IP68 degree of protection.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810974111.0A CN109186706B (en) | 2018-08-24 | 2018-08-24 | Method for early warning of urban rainfall flood inundated area |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810974111.0A CN109186706B (en) | 2018-08-24 | 2018-08-24 | Method for early warning of urban rainfall flood inundated area |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109186706A true CN109186706A (en) | 2019-01-11 |
| CN109186706B CN109186706B (en) | 2020-12-15 |
Family
ID=64919792
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810974111.0A Active CN109186706B (en) | 2018-08-24 | 2018-08-24 | Method for early warning of urban rainfall flood inundated area |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109186706B (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109754573A (en) * | 2019-01-21 | 2019-05-14 | 北京理工大学 | A kind of middle and small river flood forecasting pre-warning facility and its operation method |
| CN110196088A (en) * | 2019-06-14 | 2019-09-03 | 武汉世纪水元科技股份有限公司 | A kind of water level identification monitoring system |
| CN110287953A (en) * | 2019-05-20 | 2019-09-27 | 湖北九感科技有限公司 | Water level automatic identifying method and device |
| CN110399638A (en) * | 2019-06-15 | 2019-11-01 | 湖南闲暇科技有限公司 | A method of flood and overflow time of origin are calculated according to meteorological data |
| 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 |
| CN111947733A (en) * | 2020-08-13 | 2020-11-17 | 水利部交通运输部国家能源局南京水利科学研究院 | Intelligent digital water level scale and use method thereof |
| CN116311796A (en) * | 2022-12-16 | 2023-06-23 | 华南农业大学 | River course flood control early warning system based on computer vision discernment |
| RU222636U1 (en) * | 2023-04-25 | 2024-01-16 | Федеральное государственное бюджетное образовательное учреждение высшего образования Иркутский государственный университет путей сообщения (ФГБОУ ВО ИрГУПС) | Device for determining the water level in the drainage trays of a transport tunnel |
| CN117953666A (en) * | 2024-03-27 | 2024-04-30 | 南京金固智慧市政研究院有限公司 | Flooding early warning monitoring system based on image recognition for easily flooded and easily waterlogged areas |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20060099496A (en) * | 2006-08-25 | 2006-09-19 | 한국유지관리 주식회사 | The realtime remote measuring and monitoring system of a water level using the image recognition processing method |
| CN102494733A (en) * | 2011-12-12 | 2012-06-13 | 西安电子科技大学 | Water level monitoring system based on image processing and method |
| CN206891525U (en) * | 2017-07-05 | 2018-01-16 | 河海大学 | A kind of urban waterlogging early warning system |
| CN108009753A (en) * | 2017-12-26 | 2018-05-08 | 广东工业大学 | Urban waterlogging Forecasting Methodology, device, terminal and computer-readable recording medium |
-
2018
- 2018-08-24 CN CN201810974111.0A patent/CN109186706B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20060099496A (en) * | 2006-08-25 | 2006-09-19 | 한국유지관리 주식회사 | The realtime remote measuring and monitoring system of a water level using the image recognition processing method |
| CN102494733A (en) * | 2011-12-12 | 2012-06-13 | 西安电子科技大学 | Water level monitoring system based on image processing and method |
| CN206891525U (en) * | 2017-07-05 | 2018-01-16 | 河海大学 | A kind of urban waterlogging early warning system |
| CN108009753A (en) * | 2017-12-26 | 2018-05-08 | 广东工业大学 | Urban waterlogging Forecasting Methodology, device, terminal and computer-readable recording medium |
Non-Patent Citations (2)
| Title |
|---|
| 刘勇 等: "智慧城市视角下城市洪涝模拟研究综述", 《地理科学进展》 * |
| 林占东，张奕虹: "基于物联网的城市内涝监测预警系统建设思路初探", 《数字技术与应用》 * |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109754573A (en) * | 2019-01-21 | 2019-05-14 | 北京理工大学 | A kind of middle and small river flood forecasting pre-warning facility and its operation method |
| CN109754573B (en) * | 2019-01-21 | 2023-10-27 | 北京理工大学 | Small and medium river flood forecasting and early warning facility and operation method thereof |
| CN110287953A (en) * | 2019-05-20 | 2019-09-27 | 湖北九感科技有限公司 | Water level automatic identifying method and device |
| CN110287953B (en) * | 2019-05-20 | 2021-02-26 | 湖北九感科技有限公司 | Water level automatic identification method and device |
| CN110196088A (en) * | 2019-06-14 | 2019-09-03 | 武汉世纪水元科技股份有限公司 | A kind of water level identification monitoring system |
| CN110399638A (en) * | 2019-06-15 | 2019-11-01 | 湖南闲暇科技有限公司 | A method of flood and overflow time of origin are calculated according to meteorological data |
| 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 |
| CN111947733A (en) * | 2020-08-13 | 2020-11-17 | 水利部交通运输部国家能源局南京水利科学研究院 | Intelligent digital water level scale and use method thereof |
| CN116311796A (en) * | 2022-12-16 | 2023-06-23 | 华南农业大学 | River course flood control early warning system based on computer vision discernment |
| CN116311796B (en) * | 2022-12-16 | 2023-08-25 | 华南农业大学 | River course flood control early warning system based on computer vision discernment |
| RU222636U1 (en) * | 2023-04-25 | 2024-01-16 | Федеральное государственное бюджетное образовательное учреждение высшего образования Иркутский государственный университет путей сообщения (ФГБОУ ВО ИрГУПС) | Device for determining the water level in the drainage trays of a transport tunnel |
| CN117953666A (en) * | 2024-03-27 | 2024-04-30 | 南京金固智慧市政研究院有限公司 | Flooding early warning monitoring system based on image recognition for easily flooded and easily waterlogged areas |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109186706B (en) | 2020-12-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109186706A (en) | A method of for the early warning of Urban Storm Flood flooding area | |
| CN107506798B (en) | Water level monitoring method based on image recognition | |
| CN108759973B (en) | Water level measuring method | |
| CN110223341B (en) | Intelligent water level monitoring method based on image recognition | |
| Sofia et al. | High‐resolution topography and anthropogenic feature extraction: Testing geomorphometric parameters in floodplains | |
| CN101957309B (en) | All-weather video measurement method for visibility | |
| Eltner et al. | Automatic image‐based water stage measurement for long‐term observations in ungauged catchments | |
| Chen et al. | Hydraulic correction method (HCM) to enhance the efficiency of SRTM DEM in flood modeling | |
| CN111507375B (en) | Urban waterlogging risk rapid assessment method and system | |
| Tarpanelli et al. | Hydraulic modelling calibration in small rivers by using coarse resolution synthetic aperture radar imagery | |
| CN111721361A (en) | Embankment monitoring system, method and equipment | |
| Huisman et al. | The use of video imagery to analyse groundwater and shoreline dynamics on a dissipative beach | |
| Kopp et al. | Fully automated snow depth measurements from time-lapse images applying a convolutional neural network | |
| KR20230132686A (en) | A method for damage identification and volume quantification of concrete pipes based on PointNet++ neural network | |
| CN114639064B (en) | Water level identification method and device | |
| CN117953445B (en) | Road visibility measuring method, system and medium based on traffic monitoring camera in rainy days | |
| CN112419272B (en) | Method and system for quickly estimating visibility of expressway in foggy weather | |
| CN115578695B (en) | Water gauge water level machine vision detection method and device with free shooting visual angle | |
| CN117152617A (en) | Urban flood identification method and system | |
| Birgand et al. | Field performance of the GaugeCam image-based water level measurement system | |
| Zeng et al. | Urban water body detection from the combination of high-resolution optical and SAR images | |
| Zhen et al. | Visual detection algorithm of water line based on feature fusion | |
| CN108198422A (en) | A kind of road ponding extraction system and method based on video image | |
| Liu et al. | A novel depth measurement method for urban flooding based on surveillance video images and a floating ruler | |
| Cho et al. | Extraction of stream channels in high-resolution digital terrain images using morphology |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |