CN207423114U - A kind of landslide multi-point displacement intelligent monitoring device - Google Patents
A kind of landslide multi-point displacement intelligent monitoring device Download PDFInfo
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- CN207423114U CN207423114U CN201721638025.XU CN201721638025U CN207423114U CN 207423114 U CN207423114 U CN 207423114U CN 201721638025 U CN201721638025 U CN 201721638025U CN 207423114 U CN207423114 U CN 207423114U
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Abstract
The utility model discloses a kind of landslide multi-point displacement intelligent monitoring devices, including intelligent control module, intelligent control module is connected to landslide multi-point displacement monitoring modular, storage display module, data communication module and power supply module, and intelligent control module gathers the data of landslide target monitoring point by the multi-point displacement monitoring modular that comes down and result is sent to distant early warning platform by data communication module.The invention also discloses a kind of monitoring methods of mating above-mentioned landslide multi-point displacement intelligent monitoring device, the utility model can improve existing landslide monitoring early warning technology, device realizes intelligentized control method, compact, easy for installation, easy to operate, precision is high, data visualization, the monitoring to landslide entirety or local deformation trend can be achieved, send warning information in time.
Description
Technical field
The utility model is related to monitoring technology for geological hazards field, especially a kind of landslide multi-point displacement intellectual monitoring dress
It puts.
Background technology
Landslide is the sliding geological phenomenon that slope Rock And Soil is occurred along logical shear breakage is used to.The mechanism on landslide is
Caused by shear stress has been more than the shearing strength in the face on a certain slide surface.Industrial and agricultural production and people's life wealth are usually given in landslide
Production brings about great losses, the even destructive disaster of some.
Landslide harm most important to rural area is to destroy farmland, room, injury people and animals, deforestation, road and agricultural
Mechanical facility and water conservancy and hydropower facility etc. even cause crushing disaster to rural area sometimes.It usually pounds and buries positioned at the landslide in cities and towns
House destroys factory, school, institutional settings etc., and damages various facilities, causes to have a power failure, cuts off the water, stops work, and even destroys sometimes
Entire cities and towns.The landslide of industrial and mining area is happened at, mine facility can be destroyed, injures and deaths worker damages workshop, makes mine stop work and production,
Often result in heavy losses.
Landslide is had by sliding speed division:Creep landslide, usual people can only pass through with being visually difficult to see its movement
Instrument observation could be found;It comes down at a slow speed, slides several centimeters daily to several tens cm, people can observe directly landslide with naked eyes
Activity;Middling speed comes down, and slides the landslide of several tens cm to several meters per hour;HIGH-SPEED LANDSLIDE, it is per second to slide several meters to tens of rice
Landslide.
Except wriggling comes down, people can have found to come down and withdraw early danger zone early.It comes down for wriggling,
Its concealment is stronger, and harmfulness is bigger, and people are difficult to find, even if being unable to estimate it since its slip is slower after finding
Liveness brings difficulty to people's disaster prevention and danger avoidance.China is the multiple area of geological disaster, and all parts of the country landslide is ten hundreds of, generally
Belong to wriggling landslide, the safety of life and property of serious threat this people group.
The existing geological disaster landslide monitoring method in China has mass presdiction and disaster prevention and professional monitoring two ways at present.
Mass presdiction and disaster prevention monitoring mode generally has artificial monitoring stake and landslide pantograph, and wherein personal monitoring's stake is in slip mass
The staking out of two edge-on two, crack, by the relative displacement of two monitoring stakes of tape measure, and makes a record, for observing crack
Tension degree;Landslide pantograph is a kind of follow-on personal monitoring's stake, and tape measure and electronic component are integrated together, and increased
Warning device is added, equipment one end is mounted on slip mass crack and stablizes one side, and drawstring one end unstable one side of fixing crack is sliding
Slope pantograph inbuilt displacement threshold switch, after displacement reaches early warning value, landslide pantograph triggers external alarm equipment alarm, reminds
Resident prevents and reduces natural disasters.
Professional monitoring mode has drawstring displacement monitor, earth's surface GNSS monitors, deep soils instrument, ground laser thunder
It is monitored up to scanner and InSAR.Its medium pulling rope displacement monitor is installed to slip mass crack both sides, monitors the opposite of crack both sides
Displacement, and monitoring data are transferred to distant early warning center by GPRS network, realize field unattended automatic collection work(
Energy.Its precision reaches 1mm grades, and systematic comparison is stablized;Earth's surface GNSS monitors are using satellite positioning and algorithm realization slip mass
The absolute displacement monitoring of table (X, Y, Z) three-dimensional, precision reach 5mm grades, whole to hold slip mass variation tendency for simulation modeling
There is absolute predominance;Deep soils instrument is to calculate landslide using the inclination angle in borehole inclinometer measurement drilling at slip band
Relative shift, it is with obvious effects for wriggling landslide monitoring;It is sharp that ground laser radar scanner is that profit is computerizedd control
Optical radar quickly scans slip mass entire surface, and scanning result and history scan data are compared, and calculates slip mass
Deformation tendency;InSAR monitorings are to obtain slip mass influence figure using spaceborne or airborne Interference radar, wherein each pixel both included
The radar raster-displaying strength information of ground resolution element also comprising the phase information related with oblique distance, will cover areal
The phase value of two width radar image respective pixels subtracts each other an available phase difference figure, these phase signals can reflect place's earth's surface
Deformation extent.
Utility model people has found that there are following defect and deficiencies for the prior art in the process of implementing the utility model:
1st, drawstring displacement monitor cannot monitor the variation tendency of entire slip mass, if it is desired to monitoring entire slip mass variation
Trend is caused great in constructing amount and of high cost, it is necessary to lay multiple devices;
2nd, earth's surface GNSS monitors power consumption is larger, and cost is higher, and computing speed is slow, and is affected by electromagnetism and environment,
Seriously affect precision;
3rd, deep soils instrument does not possess drilling since it is in drilling for overwhelming majority landslide,
Installation deep soils instrument needs are drilled, and workload and cost increase much;
4th, ground laser radar scanner is the drawback is that vegetation cannot be filtered out, for the southeast and the southwest ground of dense vegetation
Area, monitoring effect are bad.
Utility model content
The technical problem to be solved by the present invention is to provide a kind of landslide multi-point displacement intelligent monitoring devices, can solve
The deficiencies in the prior art realize intelligentized control method, and compact, easy for installation, easy to operate, precision is high, data visualization, can
It realizes the monitoring to landslide entirety or local deformation trend, sends warning information in time.
In order to solve the above technical problems, technical solution adopted in the utility model is as follows.
A kind of landslide multi-point displacement intelligent monitoring device, including,
Intelligent control module for Image Acquisition in the multi-point displacement monitoring modular that comes down, image identification, gesture stability, swashs
Coordination, the data depth processing of each module of ligh-ranging, data storage display, data communication mode selection and power supply mode selection;
Come down multi-point displacement monitoring modular, including image capture module, picture recognition module, gesture stability module and laser
For gathering the image data of landslide target monitoring point, picture recognition module is used for will for range finder module, wherein image capture module
The image information of image capture module acquisition carries out target identification, and gesture stability module controls image to adopt according to image recognition result
Collect module both horizontally and vertically, achieve the purpose that the identification landslide each monitoring point of target monitoring point, laser ranging module will
Each monitoring point of identification carries out range measurement;
Store display module, for will come down multi-point displacement monitoring modular gather result data through intelligent control module at
It stores after reason and intuitively shows;
Data communication module, including LoRa modules, NB-IOT modules, GPRS module and big dipper module, wherein LoRa modules
Realize that short-middle-range networks and data transmission, GPRS communication modules and Beidou communication module are used to send out data with NB-IOT modules
It is sent to distant early warning platform;
Power supply module, for powering to intelligent control module and landslide multi-point displacement monitoring modular;
Come down target monitoring point, is the acquisition position of land slide data;
Distant early warning platform, for receiving gathered data and handling result.
A kind of monitoring method of above-mentioned landslide multi-point displacement intelligent monitoring device, comprises the following steps:
A, system electrification, equipment are initialized;The multi-point displacement monitoring modular that comes down clicks through line number to landslide target monitoring
According to gathering and transferring data to intelligent control module, intelligent control module passes through data communication after data are carried out advanced treating
Module is sent to distant early warning platform, while processed data are stored and shown by storing display module;
B, intelligent control module control image capture module carries out image information collecting to landslide target monitoring point;
C, intelligent control module is to the image information of the target monitoring point of acquisition and the progress of characteristic target point image information
With with identification;
D, the focal length of intelligent control module control adjustment image capture module and posture are so as to each landslide mesh to identification
Mark monitoring point is relocated;
E, intelligent control module controls the laser ranging module measurement image for being in parallel axle center with image capture module to adopt
Collect module to the distance of each landslide target monitoring point;
F, intelligent control module carries out validity processing to step E acquired results;
G, intelligent control module carries out data analysis to step F acquired results;
H, intelligent control module is sent to distant early warning platform to step G acquired results by data communication module, simultaneously
Data storage and display are carried out by storing display module.
Preferably, in step B, image capture module carries out Image Acquisition to landslide target monitoring point, and image is believed
Breath is converted into digital information.
Preferably, in step C, multiple monitoring points in the image of acquisition are identified including following in picture recognition module
Step:
The Color Bitmap of acquisition is carried out gray processing processing by C1, image preprocessing,
I=0.299 × Red+0.587 × Green+0.114 × Blue
Wherein, I represents gray value, Red, Green, and Blue is the rgb value of each pixel;Suitable threshold value is set, it is real
Existing image binaryzation, the gray value of all pixels in wicket centered on certain point (X, Y) are arranged by order from small to large
Row, using median as the gray value at (X, Y), so as to remove the noise introduced from actual environment;
C2, characteristics extraction after C1 steps, can describe the shape feature of monitoring point in image, then monitoring point R with matrix
(i, j) rank be
The point (x, y) that computing is participated in formula is all point or boundary point in the R of monitoring point;
C3, template matches, by multiple known template characteristic target dot matrix parameters and the monitoring point feature of C2 steps extraction
Value carry out matching primitives obtain image in whether information and coordinate containing the template, represented with similarity D
After at its normalization, the related coefficient of template matches is obtained
When template and just the same identification target, coefficient R (i, j)=1.
Preferably, in step E, the laser ranging module for being in parallel axle center with image capture module is controlled to measure image
Acquisition module to identification landslide target monitoring point distance, duplicate measurements n times, 1 < n≤100.
Preferably, in step F, the n times range data of step E acquisitions is filtered, rejecting abnormalities value retains
Average value repeats B-F steps, until simultaneously filtering process is completed in the landslide target monitoring point ranging of identification.
Preferably, in step G, the range data of gained landslide target monitoring point in F-step is stored with System History
Correspondence point data be compared analysis, the change in displacement trend and whole landslide for calculating each monitoring point change X-Y scheme.
It is using advantageous effect caused by above-mentioned technical proposal:The utility model can realize intelligentized control method, body
Product it is compact, easy for installation, easy to operate, precision is high, data visualization, it can be achieved that landslide entirety or local deformation trend prison
It surveys, sends warning information in time.
Description of the drawings
Fig. 1 is the hardware structure diagram of one specific embodiment of the utility model.
Fig. 2 is the monitoring method schematic diagram of one specific embodiment of the utility model.
Fig. 3 is the monitoring device installation diagram of one specific embodiment of the utility model.
Specific embodiment
With reference to Fig. 1-3, one specific embodiment of the utility model includes,
Intelligent control module 1, for Image Acquisition in the multi-point displacement monitoring modular 2 that comes down, image identification, gesture stability,
Coordination, the data depth processing of each module of laser ranging, data storage display, data communication mode selection and power supply mode choosing
It selects;
Come down multi-point displacement monitoring modular 2, including image capture module, picture recognition module, gesture stability module and swashs
For gathering the image data of landslide target monitoring point 6, picture recognition module is used for for ligh-ranging module, wherein image capture module
The image information of image capture module acquisition is subjected to target identification, gesture stability module controls image according to image recognition result
Acquisition module both horizontally and vertically, achievees the purpose that 6 each monitoring point of identification landslide target monitoring point, laser ranging module
Each monitoring point of identification is subjected to range measurement;
Display module 3 is stored, the result data gathered for the multi-point displacement monitoring modular 2 that will come down is through intelligent control module
It stores after 1 processing and intuitively shows;
Data communication module 4, including LoRa modules, NB-IOT modules, GPRS module and big dipper module, wherein LoRa modules
Realize that short-middle-range networks and data transmission, GPRS communication modules and Beidou communication module are used to send out data with NB-IOT modules
It is sent to distant early warning platform 7;
Power supply module 5, for powering to intelligent control module 1 and landslide multi-point displacement monitoring modular 2;
Come down target monitoring point 6, is the acquisition position of land slide data;
Distant early warning platform 7, for receiving gathered data and handling result.
A kind of monitoring method of above-mentioned landslide multi-point displacement intelligent monitoring device, comprises the following steps:
A, system electrification, equipment are initialized;Landslide multi-point displacement monitoring modular 2 carries out landslide target monitoring point 6
Data acquisition simultaneously transfers data to intelligent control module 1, and intelligent control module 1 passes through data after data are carried out advanced treating
Communication module 4 is sent to distant early warning platform, while processed data are stored and shown by storing display module 3
Show;
B, intelligent control module 1 controls image capture module to carry out image information collecting to landslide target monitoring point 6;
C, intelligent control module 1 is to the image information of the target monitoring point of acquisition and the progress of characteristic target point image information
With with identification;
D, the focal length of the control of intelligent control module 1 adjustment image capture module and posture are so as to each landslide mesh to identification
Mark monitoring point 6 is relocated;
E, intelligent control module 1 controls the laser ranging module measurement image for being in parallel axle center with image capture module to adopt
Collect module to the distance of each landslide target monitoring point 6;
F, intelligent control module 1 carries out validity processing to step E acquired results;
G, intelligent control module 1 carries out data analysis to step F acquired results;
H, intelligent control module 1 is sent to distant early warning platform 7 to step G acquired results by data communication module 4, together
When by storing display module 3 carry out data storage and display.
In step B, image capture module carries out Image Acquisition to landslide target monitoring point 6, and converts image information into
Digital information.
In step C, multiple monitoring points in the image of acquisition, which are identified, in picture recognition module comprises the following steps:
The Color Bitmap of acquisition is carried out gray processing processing by C1, image preprocessing,
I=0.299 × Red+0.587 × Green+0.114 × Blue
Wherein, I represents gray value, Red, Green, and Blue is the rgb value of each pixel;Suitable threshold value is set, it is real
Existing image binaryzation, the gray value of all pixels in wicket centered on certain point (X, Y) are arranged by order from small to large
Row, using median as the gray value at (X, Y), so as to remove the noise introduced from actual environment;
C2, characteristics extraction after C1 steps, can describe the shape feature of monitoring point in image, then monitoring point R with matrix
(i, j) rank be
The point (x, y) that computing is participated in formula is all point or boundary point in the R of monitoring point;
C3, template matches, by multiple known template characteristic target dot matrix parameters and the monitoring point feature of C2 steps extraction
Value carry out matching primitives obtain image in whether information and coordinate containing the template, represented with similarity D
After at its normalization, the related coefficient of template matches is obtained
When template and just the same identification target, coefficient R (i, j)=1.
In step D, the focal length of image capture module, 6 image of landslide target monitoring point after amplification identification are adjusted, and is adjusted
Gesture stability module makes 6 image of landslide target monitoring point after identification be among the image capture module visual field.
In step E, the laser ranging module for being in parallel axle center with image capture module is controlled to measure image capture module
To the distance of the landslide target monitoring point 6 of identification, duplicate measurements n times, 1 < n≤100.
In step F, the n times range data of step E acquisitions is filtered, rejecting abnormalities value, retains average value, weight
Multiple B-F steps, until simultaneously filtering process is completed in landslide target monitoring point (6) ranging of identification;
The exceptional value of rejecting is stored in buffer area, exceptional value with average value is compared, comparison result is fitted
Afterwards, the laser ranging module in step E is modified using fitting result.
In step G, by the range data of gained landslide target monitoring point 6 and the corresponding points of System History storage in F-step
Data are compared analysis, and the change in displacement trend and whole landslide for calculating each monitoring point change X-Y scheme;
When resolving whole landslide variation X-Y scheme, made according to the displacement data for resolving two closest monitoring points of point
To resolve object, the displacement data of two monitoring points is weighted average, obtains calculation result, weighting coefficient with resolve point and
Corresponding monitoring point distance it is square directly proportional.
In the description of the utility model, it is to be understood that term " longitudinal direction ", " transverse direction ", " on ", " under ", " preceding ",
The orientation or position relationship of the instructions such as " rear ", "left", "right", " vertical ", " level ", " top ", " bottom ", " interior ", " outer " be based on
Orientation shown in the drawings or position relationship are for only for ease of description the utility model rather than instruction or imply signified dress
It puts or element must have specific orientation, with specific azimuth configuration and operation, therefore it is not intended that the utility model
Limitation.
The basic principle of the utility model and main feature and the advantages of the utility model has been shown and described above.One's own profession
The technical staff of industry is it should be appreciated that the present utility model is not limited to the above embodiments, described in above embodiments and description
Simply illustrate the principle of the utility model, on the premise of not departing from the spirit and scope of the utility model, the utility model is also
Various changes and modifications are had, these various changes and improvements fall within the scope of the claimed invention.The utility model
Claimed scope is defined by the appending claims and its equivalent thereof.
Claims (1)
1. a kind of landslide multi-point displacement intelligent monitoring device, it is characterised in that:Including,
Intelligent control module (1), for the interior Image Acquisition of multi-point displacement monitoring modular (2) that comes down, image identification, gesture stability,
Coordination, the data depth processing of each module of laser ranging, data storage display, data communication mode selection and power supply mode choosing
It selects;
Come down multi-point displacement monitoring modular (2), including image capture module, picture recognition module, gesture stability module and laser
For gathering the image data of landslide target monitoring point (6), picture recognition module is used for for range finder module, wherein image capture module
The image information of image capture module acquisition is subjected to target identification, gesture stability module controls image according to image recognition result
Acquisition module both horizontally and vertically, achievees the purpose that each monitoring point of identification landslide target monitoring point (6), laser ranging mould
Each monitoring point of identification is carried out range measurement by block;
Store display module (3), for will come down multi-point displacement monitoring modular (2) gather result data through intelligent control module
(1) store after handling and intuitively show;
Data communication module (4), including LoRa modules, NB-IOT modules, GPRS module and big dipper module, wherein LoRa modules and
NB-IOT modules realize that short-middle-range networks and data transmission, GPRS communication modules and Beidou communication module are used for data sending
To distant early warning platform (7);
Power supply module (5), for powering to intelligent control module (1) and landslide multi-point displacement monitoring modular (2);
Come down target monitoring point (6), is the acquisition position of land slide data;
Distant early warning platform (7), for receiving gathered data and handling result.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2020151023A1 (en) * | 2019-01-21 | 2020-07-30 | 东北大学 | Key block dynamic search system and method based on image recognition technology |
CN111504392A (en) * | 2020-06-10 | 2020-08-07 | 中国地质调查局水文地质环境地质调查中心 | Landslide multi-element three-dimensional space monitoring system and method |
JP2023519414A (en) * | 2020-03-31 | 2023-05-10 | 内蒙古雷遠信息科技有限公司 | Deformation measuring method and radar system |
-
2017
- 2017-11-30 CN CN201721638025.XU patent/CN207423114U/en active Active
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2020151023A1 (en) * | 2019-01-21 | 2020-07-30 | 东北大学 | Key block dynamic search system and method based on image recognition technology |
JP2023519414A (en) * | 2020-03-31 | 2023-05-10 | 内蒙古雷遠信息科技有限公司 | Deformation measuring method and radar system |
CN111504392A (en) * | 2020-06-10 | 2020-08-07 | 中国地质调查局水文地质环境地质调查中心 | Landslide multi-element three-dimensional space monitoring system and method |
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