CN105488958A - Non-contact landslide hazard monitoring system and method - Google Patents
Non-contact landslide hazard monitoring system and method Download PDFInfo
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- CN105488958A CN105488958A CN201510874775.6A CN201510874775A CN105488958A CN 105488958 A CN105488958 A CN 105488958A CN 201510874775 A CN201510874775 A CN 201510874775A CN 105488958 A CN105488958 A CN 105488958A
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- G—PHYSICS
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
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- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
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- G01S17/89—Lidar systems specially adapted for specific applications for mapping or imaging
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Abstract
The invention discloses a non-contact landslide hazard monitoring system, which comprises a laser radar scanner, a video check device and a monitoring center processing platform, wherein the laser radar scanner, the video check device and the monitoring center processing platform are connected with a monitoring processing host. The laser radar scanner is used for obtaining distance data of distance from each point in a landslide monitoring region to the laser radar scanner; the monitoring processing host is used for receiving the distance data collected by the laser radar scanner, obtaining an over-limit detection result and sending the over-limit detection result to the monitoring center processing platform; and when the monitoring center processing platform judges that the over-limit detection result surpasses the data threshold, the monitoring processing host triggers the video check device to collect videos to carry out recheck. The non-contact landslide hazard monitoring system monitors the whole landslide monitoring region by utilizing the three-dimensional scanning technique, so that the landslide geological disaster can be monitored accurately; and through linkage with the video check device, the monitoring system realizes an early warning-alarm-check processing mechanism. The invention also discloses a corresponding monitoring method.
Description
Technical field
The present invention relates to a kind of landslide disaster monitoring system, particularly relate to a kind of contactless landslide disaster monitoring system, the present invention relates to the monitoring method using above-mentioned landslide disaster monitoring system to realize simultaneously, belongs to Geological Hazards Monitoring field.
Background technology
Landslide is under certain natural conditions and geologic condition, organizes aslope part Rock And Soil and occurs to shear and the entirety downslide breakoff phenomenon of generation along the Weak face that sloping inner is certain under the effect based on gravity.The accident caused due to landslide disaster in recent years frequently occurs, and the people's lives and property safety in serious threat.
Existing landslide monitoring technology mainly contains following three kinds: 1) traditional landslide monitoring technology; 2) distributed optical fiber sensing technology; 3) GNSS displacement monitoring technology.Above-mentioned three kinds of monitoring technology are all contact monitoring technology, there are following relative merits respectively when monitoring landslide.
Wherein, traditional landslide monitoring technology adopts sensor technology, and by the oscillatory type slit gauge being arranged on slope body, inclinometer, water table measure meter, the specialized equipment such as pressure gauge are monitored sliding mass, are sent to center by bus, carry out software analysis process.This kind of monitoring technology cost is lower, and precision is higher, and effect is better; But it is easily by the impact of underground water, climatic environment; And the measurement only carrying out a little to slope body, the measurement of non-face, measurement accuracy is easily affected; And difficulty of construction is large, and the cycle is long.
Distributed optical fiber sensing technology is a kind of distributed optical fiber strain sensor of Brillouin's backscattering.Light wave is propagated in a fiber and is interacted with the acoustical phonon in optical fiber and Brillouin scattering occurs.Optical fiber in netted laying on surface, landslide, to be fixed on the following certain depth position of soil body surface, landslide or to be attached directly to rock mass surface, making it follow the compatibility of deformation of Rock And Soil consistent by sensor fibre by keeping at a certain distance away.Distributed Optical Fiber Sensing Techniques tool has the following advantages: measuring distance is long, coverage is large, can be good at monitoring large-area sliding mass, the information such as the strain on optical fiber any point along the line, temperature and damage can be measured, realize the comprehensive monitoring to monitoring target.But simultaneously also have following shortcoming: contact type measurement, construction trouble, affect comparatively large by temperature, the factor such as fiber ageing, rate of false alarm is high, and cost is higher.
GNSS displacement monitoring technology should first set up GNSS monitoring point and reference point when monitoring landslide displacement.Wherein, lay GNSS monitoring point at the key position that sliding velocity is very fast or slippage is larger of sliding mass, lay some GNSS reference points away from the stable location beyond the zone of influence, landslide.And on each GNSS monitoring point or reference point, GNSS receiver and GNSS antenna are installed.GNSS antenna and receiver are used for receiving and satellite-signal such as the record Big Dipper, GPS, GLONASS, Galileo etc., and be converted to data stream or data file, the server end being provided with special monitoring of software is converged to by communication link, carry out high-precision difference positioning calculation by monitoring of software, obtain each high-precision displacement data.When displacement data exceeds predetermined threshold value, system sends warning automatically, reminds relevant department to take risk avoidance measures in advance.GNSS displacement monitoring technology, has monitoring accuracy higher, the good advantage of effect; But it is still only to the monitoring that slope body carries out a little, non-fully directional surveillance; And the difficulty of construction of whole monitoring technology is large, and the cycle is long, and cost is high.
Summary of the invention
Primary technical matters to be solved by this invention is to provide a kind of contactless landslide disaster monitoring system.
Another technical matters to be solved by this invention is to provide a kind of contactless Landslide Monitoring Methods.
In order to realize foregoing invention object, the present invention adopts following technical scheme:
A kind of contactless landslide disaster monitoring system, comprises the laser radar scanner, the video that are connected with monitoring processing host respectively and checks equipment and Surveillance center's processing platform; Wherein,
Described laser radar scanner is for obtaining in landslide control region each point to the range data of described laser radar scanner;
Described video checks equipment for gathering the view data in landslide control region;
Described monitoring processing host for receive described laser radar scanner and gather range data, obtain overrun testing result and overrun testing result sent to monitoring processing platform; After described monitoring processing platform judges that overrun testing result exceedes data threshold, described monitoring processing host also for trigger described video check equipment gather video check.
Wherein more preferably, the lasing light emitter of described laser radar scanner inside can carry out the angle rotation of horizontal direction;
Described laser radar scanner is arranged on curved bar rocking handle auxiliary platform, the angle rotation of described curved bar rocking handle auxiliary platform for driving described laser radar scanner to carry out vertical direction.
Wherein more preferably, the elevation angle theta of described curved bar rocking handle auxiliary platform
1with angle of depression θ
2meet following formula respectively and between the height H of the setting height(from bottom) h of laser radar scanner and slope body:
Wherein more preferably, following formula is met between the rate of pitch ω of described curved bar rocking handle auxiliary platform and the control angle ψ of curved bar rocking handle auxiliary platform:
Wherein, the control angle ψ=θ of curved bar rocking handle auxiliary platform
1+ θ
2; T is the scan period of described curved bar rocking handle auxiliary platform.
Wherein more preferably, described monitoring processing host comprises laser radar processing platform and video checks platform;
Described laser radar processing platform drives described curved bar rocking handle auxiliary platform to rotate for controlling motor, and described laser radar processing platform is for receiving the position feedback information of described curved bar rocking handle auxiliary platform; The range data of described laser radar processing platform also for obtaining according to described laser radar scanner scanning sets up the digital surface model in described landslide control region, and obtains overrun testing result;
Described video checks platform and described video checks equipment connection; Described video checks platform and described video checks equipment connection; Described video is checked platform and is checked equipment gather video data for starting described video, and described video data is sent to described monitoring center processing platform and carries out disaster and check.
Wherein more preferably, described monitoring processing host also comprises for checking with described laser radar processing platform, described video the switch that platform and described monitoring center processing platform carry out communicating.
A kind of contactless Landslide Monitoring Methods, comprises the steps:
(1) the standard cloud data in whole landslide control region is used to set up the digital surface model on basis;
(2) laser radar scanner is carried out duplicate detection to whole landslide control region and is set up real-time digital surface model, and the comparing result of digital surface model according to real-time digital surface model and described basis, determine the position in overproof region, area, volume and overproof average height and maximum height, and overrun testing result is sent back Surveillance center's processing platform;
(3) described Surveillance center processing platform contrasts described overrun testing result and set data threshold, when described overrun testing result does not exceed described data threshold, produces early warning signal; When described overrun testing result exceedes described data threshold, produce alerting signal, and triggering video is checked equipment and is carried out disaster and check.
Wherein more preferably, in described step (1), from the preliminary scan result of described laser radar scanner or the scanning result of prophylactic repair, obtain the standard cloud data in whole landslide control region, described standard cloud data comprises the initial distance of each monitoring point to described laser radar scanner.
Wherein more preferably, comprise the steps: in described step (2)
(21) obtain the actual range of each real time scan point, and calculate the difference between described actual range and described initial distance;
(22) judge whether described difference is that positive difference is also greater than setting threshold value simultaneously, if so, then a real-time digital surface model is built to a cloud that transfinites of this follow up scan; If not, then scanning is continued;
(23) carry out Data Comparison with real-time digital surface model and the digital surface model on basis, determine the position in overproof region, area, volume and overproof average height and maximum height.
Wherein more preferably, in described step (2), also comprise step (24): according to the data shape of a cloud that transfinites, identify whether overrun testing object is human or animal, if, then ignore this testing result, return step (21).
Contactless landslide disaster monitoring system provided by the present invention adopts three-level structure, is Surveillance center's processing platform respectively, and monitoring processing host, laser radar scanner and video check equipment.This contactless landslide disaster monitoring system, 3 D stereo scanning technique is utilized to monitor the whole domatic of landslide control region, can precise monitoring Landslide Hazards, and by checking equipment linkage with video, realize the treatment mechanism of early warning-report to the police-check.This contactless landslide disaster monitoring system use is fixed on the equipment such as the laser radar scanner of landslide control areas adjacent and is carried out contactless monitoring to landslide control region, and cost is low, easy construction, is convenient to safeguard; Further, precision is high, and rate of false alarm is low.And, this contactless landslide disaster monitoring system, can according to the comparing result of real-time digital surface model with the digital surface model on basis, the earth volume on approximate treatment landslide, be convenient to follow-up speedily carrying out rescue work, the life and property loss because Landslide Hazards brings can be greatly reduced.
Accompanying drawing explanation
Fig. 1 is the structured flowchart of contactless landslide disaster monitoring system provided by the present invention;
Fig. 2 is the schematic diagram of the Measurement Resolution of laser radar scanner;
Fig. 3 is the schematic diagram of the installation site of laser radar scanner and the control angle of curved bar rocking handle auxiliary platform;
Fig. 4 is the processing flow chart of contactless landslide disaster monitoring system provided by the present invention.
Embodiment
Below in conjunction with the drawings and specific embodiments, technology contents of the present invention is described in detail further.
Laser Radar Scanning technology is the novel airborne survey technology developed rapidly the nearest more than ten years, and at home and abroad multiple industry has obtained and applied comparatively widely, but actually rare in landslide monitoring application.Due to Three Dimensional Ground laser scanner technique can high speed, high precision, highdensity acquisition body surface three dimensional space coordinate, and without the need to contacting testee, be particularly suitable for being applied in the Geological Hazards Monitoring fields such as landslide.
Contactless Landslide Forecast System provided by the present invention, employing three-level structure is Surveillance center's processing platform 1 respectively, monitoring processing host 2, laser radar scanner 3 and video check equipment 4.Wherein, as shown in Figure 1, laser radar scanner 3, video are checked equipment 4 and are connected with monitoring processing host 2 respectively with Surveillance center processing platform 1; Laser radar scanner 3 is for obtaining in landslide control region each point to the range data of laser radar scanner 3; Video checks equipment 4 for gathering the view data in landslide control region; Monitoring processing host 2 for receive laser radar scanner 3 and gather range data, obtain overrun testing result and overrun testing result sent to monitoring processing platform 1; After monitoring processing platform 1 judges that overrun testing result exceedes data threshold, monitoring processing host 2 is also checked equipment 4 collection site video for triggering video and is checked.This contactless Landslide Forecast System, the earth volume of 3 D stereo scanning technique to slope body avalanche is utilized to calculate, so that emergency work construction, and the monitoring result of laser radar scanner 3 and video are checked equipment 4 link,---warning---treatment mechanism checked that realizes early warning.
Below the concrete setting of this contactless Landslide Forecast System and involved monitoring principle thereof and monitoring method are described in detail.
Composition graphs 1, Fig. 2 and Fig. 3 are known, and laser radar scanner 3 is arranged on curved bar rocking handle auxiliary platform 30.The lasing light emitter of laser radar scanner 3 inside can carry out the angle rotation of horizontal direction, and the angle that curved bar rocking handle auxiliary platform 30 can drive laser radar scanner 3 to carry out in vertical direction rotates.As shown in Figure 3, the rational height h of curved bar rocking handle auxiliary platform 30 is less than the domatic height H in landslide control region, thus curved bar rocking handle auxiliary platform 30 can drive laser radar scanner 3 to carry out swinging up and down of vertical direction.By horizontally rotating of laser radar scanner 3 inner laser source, meanwhile, curved bar rocking handle auxiliary platform 4 drives laser radar scanner 3 to carry out vertical rotary, the scanning of final forming surface.Pulse laser constantly scans landslide, and the data of the upper target complete point that just can obtain coming down, after carrying out imaging processing, just can obtain the accurate three-dimensional image that comes down by these data.
Laser radar scanner 3 is using laser as signal source, the pulse laser launched by laser instrument, the impact point getting to landslide control region causes scattering, part light wave can reflex on the receiver of laser radar scanner 3, calculate according to laser distance measuring principle, just obtain the distance from laser radar scanner 3 to impact point.
As shown in Figure 2, suppose that the scanning distance farthest of laser radar scanner 3 is R, angular resolution is θ, then can calculate Measurement Resolution d and be:
As shown in Figure 3, suppose that the setting height(from bottom) of laser radar scanner 3 is h, the height of slope body is H, h<H, then can calculate the elevation angle theta of curved bar rocking handle auxiliary platform 30
1for:
angle of depression θ
2for:
the control angle of curved bar rocking handle auxiliary platform 30 is: ψ=θ
1+ θ
2.
When angular resolution θ=0.5 °, the sweep frequency that can arrange laser radar scanner 3 is 50Hz; When angular resolution θ=0.25 °, the sweep frequency that can arrange laser radar scanner 3 is 25Hz.
Suppose that the scanning domatic cycle is t
s(time requirement according to reporting to the police is determined), then the rate of pitch of curved bar rocking handle auxiliary platform 30 is
calculate with θ=0.5 °, then the angular resolution of curved bar rocking handle auxiliary platform 30 is
Thus can calculate, the area precision that laser radar scanner 3 scans is (when resolution is less): S ≈ α × d, namely when landslide occurs in the region that area is greater than S, just can produce overrun testing result, thus produce early warning or warning message.
As shown in Figure 1, monitor processing host 2 also to comprise switch 20, laser radar processing platform 21 and video and check platform 22; Switch 20 communicates with monitoring center processing platform 1 for checking platform 22 with laser radar processing platform 21, video.Laser radar processing platform 21 drives curved bar rocking handle auxiliary platform 30 to rotate for controlling motor, and laser radar processing platform 21 is for receiving the position feedback information of curved bar rocking handle auxiliary platform 30.Laser radar processing platform 21 also for scanning according to laser radar scanner 3 digital surface model that the range data obtained sets up landslide control region, and obtains overrun testing result; Can be connected by RJ45 interface between laser radar processing platform 21 and laser radar scanner 3.Video is checked platform 22 and is checked equipment 4 with video and be connected by RJ45 interface, video is checked platform 22 and is checked equipment 4 gather video data for starting video, and the video data collected is sent to monitoring center's processing platform 1 by switch 20 carries out disaster and check.
As shown in Figure 4, when using above-mentioned contactless landslide disaster monitoring system to carry out disaster monitoring, specifically comprise the steps: that (1) uses the standard cloud data in whole landslide control region to set up the digital surface model on basis; (2) laser radar scanner is carried out duplicate detection to whole landslide control region and is set up real-time digital surface model, and according to the comparing result of real-time digital surface model with the digital surface model on basis, determine the position in overproof region, area, volume and overproof average height and maximum height, and overrun testing result is sent back Surveillance center's processing platform; (3) Surveillance center's processing platform contrast overrun testing result and set data threshold, when overrun testing result does not exceed data threshold, produces early warning signal; When overrun testing result exceedes data threshold, produce alerting signal, and triggering video is checked equipment and is carried out disaster and check.
Wherein, in step (1), set up basic database by the scanning in laser radar scanner 3 pairs of landslide control regions.During first use, accurate scan is carried out in laser radar scanner 3 pairs of landslide control regions, the cloud data of acquisition standard, the cloud data of standard comprises the initial distance of each monitoring point to laser radar scanner 3, the treated digital surface model (DSM) can setting up basis of this cloud data, the basic data that this data surface model was monitored automatically as the later stage.During prophylactic repair, as required, laser radar scanner upgrades basic data after again scanning landslide control region.Also namely, in step (1), the standard cloud data in whole landslide control region can be obtained from the scanning result when preliminary scan result of laser radar scanner or prophylactic repair, and set up the digital surface model on basis.
In step (2), scanned real-time by laser radar scanner 3 pairs of landslide control regions, carry out landslide and detect.Specifically, obtain the actual range of each real time scan point, and calculate the difference between the initial distance in the digital surface model on this actual range and basis; If positive difference, and be greater than setting threshold value, so build real-time digital surface model by a cloud that transfinites of this follow up scan; Then carry out change detection with this real-time digital surface model and fundamental digital surface model, determine overrun testing result, and overrun testing result is sent back Surveillance center.
Specifically comprise the steps:
(21) obtain the actual range of each real time scan point, and calculate the difference between actual range and initial distance;
(22) judge whether this difference is that positive difference is also greater than setting threshold value simultaneously, if so, then a real-time digital surface model is built to a cloud that transfinites of this follow up scan; If not, then scanning is continued; A cloud that transfinites refers to that distance difference exceedes the set of multiple points of setting threshold value.
(23) carry out Data Comparison with real-time digital surface model and the digital surface model on basis, determine the position in overproof region, area, volume and overproof average height and maximum height.Wherein, overproof region refers to the region that the cloud that transfinites exceeding setting threshold value by distance difference is formed; The position in overproof region, area, volume and the information structure overrun testing result such as overproof average height and maximum height.
In step (2), because the landslide control region of laser radar scanner to stationary applica-tions is scanned, therefore dynamic Auto-calibration can be carried out.Native system scanning target is stationary applica-tions, and in monitored district, position dimension is all fixing, therefore can be used as dynamic Auto-calibration reference substance, can be used for the operation stability of raising system, reduces wrong report.
In addition, step (24) can also be comprised in step (2), according to the data shape of a cloud that transfinites, identify whether overrun testing object is human or animal, if so, then ignore this testing result, return step (21), if not, then this overrun testing result is sent to Surveillance center's processing platform.That is, the cloud data form that can be formed by preliminary analysis, the automatic decision detected object that goes out to transfinite is people or animal, thus will not report by mistake this situation.
In step (3), warning message and video interlink can also be realized.When Monitoring Data is lower than when changing in the scope of data threshold, can give warning in advance; When Monitoring Data exceedes set data threshold, produce alerting signal, triggering video checks equipment linkage, obtains the video data in landslide control region, in order to check the situation that disaster occurs.
In sum, contactless landslide disaster monitoring system provided by the present invention, 3 D stereo scanning technique is utilized to monitor the whole domatic of landslide control region, can precise monitoring Landslide Hazards, and by checking equipment linkage with video, realize the treatment mechanism of early warning-report to the police-check.This contactless landslide disaster monitoring system use is fixed on the equipment such as the laser radar scanner of landslide control areas adjacent and is carried out contactless monitoring to landslide control region in the mode of monitoring surface, and cost is low, easy construction, is convenient to safeguard; Further, precision is high, and rate of false alarm is low.And, this contactless landslide disaster monitoring system, can according to the comparing result of real-time digital surface model with the digital surface model on basis, the earth volume on approximate treatment landslide, be convenient to follow-up speedily carrying out rescue work, the life and property loss because Landslide Hazards brings can be greatly reduced.
Above contactless landslide disaster monitoring system provided by the present invention and method thereof are described in detail.To those skilled in the art, to any apparent change that it does under the prerequisite not deviating from connotation of the present invention, all the protection domain of patent right of the present invention will be belonged to.
Claims (10)
1. a contactless landslide disaster monitoring system, is characterized in that:
Comprise the laser radar scanner, the video that are connected with monitoring processing host respectively and check equipment and Surveillance center's processing platform; Wherein,
Described laser radar scanner is for obtaining in landslide control region each point to the range data of described laser radar scanner;
Described video checks equipment for gathering the view data in landslide control region;
Described monitoring processing host for receive described laser radar scanner and gather range data, obtain overrun testing result and overrun testing result sent to monitoring processing platform; After described monitoring processing platform judges that overrun testing result exceedes data threshold, described monitoring processing host also for trigger described video check equipment gather video check.
2. contactless landslide disaster monitoring system as claimed in claim 1, is characterized in that:
The lasing light emitter of described laser radar scanner inside can carry out the angle rotation of horizontal direction;
Described laser radar scanner is arranged on curved bar rocking handle auxiliary platform, the angle rotation of described curved bar rocking handle auxiliary platform for driving described laser radar scanner to carry out vertical direction.
3. contactless landslide disaster monitoring system as claimed in claim 2, is characterized in that:
The elevation angle theta of described curved bar rocking handle auxiliary platform
1with angle of depression θ
2meet following formula respectively and between the height H of the setting height(from bottom) h of laser radar scanner and slope body:
4. contactless landslide disaster monitoring system as claimed in claim 3, is characterized in that:
Following formula is met between the rate of pitch ω of described curved bar rocking handle auxiliary platform and the control angle ψ of curved bar rocking handle auxiliary platform:
Wherein, the control angle ψ=θ of curved bar rocking handle auxiliary platform
1+ θ
2; T is the scan period of described curved bar rocking handle auxiliary platform.
5. contactless landslide disaster monitoring system as claimed in claim 2, is characterized in that:
Described monitoring processing host comprises laser radar processing platform and video checks platform;
Described laser radar processing platform drives described curved bar rocking handle auxiliary platform to rotate for controlling motor, and described laser radar processing platform is for receiving the position feedback information of described curved bar rocking handle auxiliary platform; The range data of described laser radar processing platform also for obtaining according to described laser radar scanner scanning sets up the digital surface model in described landslide control region, and obtains overrun testing result;
Described video checks platform and described video checks equipment connection; Described video is checked platform and is checked equipment gather video data for starting described video, and described video data is sent to described monitoring center processing platform and carries out disaster and check.
6. contactless landslide disaster monitoring system as claimed in claim 5, is characterized in that:
Described monitoring processing host also comprises for checking with described laser radar processing platform, described video the switch that platform and described monitoring center processing platform carry out communicating.
7. a contactless Landslide Monitoring Methods, is characterized in that comprising the steps:
(1) the standard cloud data in whole landslide control region is used to set up the digital surface model on basis;
(2) laser radar scanner is carried out duplicate detection to whole landslide control region and is set up real-time digital surface model, and the comparing result of digital surface model according to real-time digital surface model and described basis, determine the position in overproof region, area, volume and overproof average height and maximum height, and overrun testing result is sent back Surveillance center's processing platform;
(3) described Surveillance center processing platform contrasts described overrun testing result and set data threshold, when described overrun testing result does not exceed described data threshold, produces early warning signal; When described overrun testing result exceedes described data threshold, produce alerting signal, and triggering video is checked equipment and is carried out disaster and check.
8. contactless Landslide Monitoring Methods as claimed in claim 7, is characterized in that:
In described step (1), from the preliminary scan result of described laser radar scanner or the scanning result of prophylactic repair, obtain the standard cloud data in whole landslide control region, described standard cloud data comprises the initial distance of each monitoring point to described laser radar scanner.
9. contactless Landslide Monitoring Methods as claimed in claim 8, is characterized in that comprising the steps: in described step (2)
(21) obtain the actual range of each real time scan point, and calculate the difference between described actual range and described initial distance;
(22) judge whether described difference is that positive difference is also greater than setting threshold value simultaneously, if so, then a real-time digital surface model is built to a cloud that transfinites of this follow up scan; If not, then scanning is continued;
(23) carry out Data Comparison with real-time digital surface model and the digital surface model on basis, determine the position in overproof region, area, volume and overproof average height and maximum height.
10. contactless Landslide Monitoring Methods as claimed in claim 9, it is characterized in that also comprising step (24) in described step (2): according to the data shape of a cloud that transfinites, identify whether overrun testing object is human or animal, if, then ignore this testing result, return step (21).
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| CN112505720A (en) * | 2020-10-29 | 2021-03-16 | 北京全路通信信号研究设计院集团有限公司 | Multi-line laser radar-based slope disaster monitoring system and method |
| CN113108700A (en) * | 2021-04-28 | 2021-07-13 | 上海同禾工程科技股份有限公司 | Displacement checking system and displacement checking method based on machine vision |
| CN113240887A (en) * | 2021-05-14 | 2021-08-10 | 深圳市安泰数据监测科技有限公司 | Slope rockfall collapse monitoring method, device and equipment |
| CN113701707A (en) * | 2021-08-27 | 2021-11-26 | 叶富建 | Automatic monitoring system and method for collapse geological disaster |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101373132A (en) * | 2008-09-24 | 2009-02-25 | 北京交通大学 | Apparatus and method for remotely measuring subgrade settlement by laser |
| CN101762235A (en) * | 2009-11-17 | 2010-06-30 | 陈植华 | Landslide displacement monitoring and prewarning system |
| CN101982841A (en) * | 2010-10-14 | 2011-03-02 | 四川金立信铁路设备有限公司 | Disaster monitoring and prewarning system and monitoring and prewarning method using same |
| CN102831751A (en) * | 2012-09-04 | 2012-12-19 | 广东省公路管理局 | Road high-dangerous slope monitoring method based on double-camera imaging technology |
| CN203552415U (en) * | 2013-06-09 | 2014-04-16 | 熊清远 | Landslide monitoring alarm device based on laser ranging |
| CN103996269A (en) * | 2014-05-19 | 2014-08-20 | 大连青松智能生态科技有限公司 | Wireless data collecting control system |
| CN104240447A (en) * | 2013-06-09 | 2014-12-24 | 熊清远 | Landslide monitoring and alarming method and device based on laser ranging |
| CN104616440A (en) * | 2015-02-03 | 2015-05-13 | 河海大学 | Automatic debris flow wireless monitoring prevention and early warning device |
| JP2015109058A (en) * | 2013-12-06 | 2015-06-11 | 三菱電機株式会社 | Tsunami monitoring system |
-
2015
- 2015-12-02 CN CN201510874775.6A patent/CN105488958B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101373132A (en) * | 2008-09-24 | 2009-02-25 | 北京交通大学 | Apparatus and method for remotely measuring subgrade settlement by laser |
| CN101762235A (en) * | 2009-11-17 | 2010-06-30 | 陈植华 | Landslide displacement monitoring and prewarning system |
| CN101982841A (en) * | 2010-10-14 | 2011-03-02 | 四川金立信铁路设备有限公司 | Disaster monitoring and prewarning system and monitoring and prewarning method using same |
| CN102831751A (en) * | 2012-09-04 | 2012-12-19 | 广东省公路管理局 | Road high-dangerous slope monitoring method based on double-camera imaging technology |
| CN203552415U (en) * | 2013-06-09 | 2014-04-16 | 熊清远 | Landslide monitoring alarm device based on laser ranging |
| CN104240447A (en) * | 2013-06-09 | 2014-12-24 | 熊清远 | Landslide monitoring and alarming method and device based on laser ranging |
| JP2015109058A (en) * | 2013-12-06 | 2015-06-11 | 三菱電機株式会社 | Tsunami monitoring system |
| CN103996269A (en) * | 2014-05-19 | 2014-08-20 | 大连青松智能生态科技有限公司 | Wireless data collecting control system |
| CN104616440A (en) * | 2015-02-03 | 2015-05-13 | 河海大学 | Automatic debris flow wireless monitoring prevention and early warning device |
Non-Patent Citations (1)
| Title |
|---|
| 陈卫: "基于TLS技术的危岩体变形监测方法研究", 《中国优秀硕士学位论文全文数据库基础科学辑》 * |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106651832B (en) * | 2016-10-09 | 2019-10-29 | 交通运输部公路科学研究所 | A kind of method and system of the disaster-stricken information of determining infrastructure |
| CN106651832A (en) * | 2016-10-09 | 2017-05-10 | 交通运输部公路科学研究所 | Infrastructure disaster suffering information determining method and system |
| CN106990411A (en) * | 2017-05-24 | 2017-07-28 | 东华理工大学 | Contactless side slope falling and landslide hazards long distance intellectual monitoring early warning system |
| CN107218899A (en) * | 2017-06-02 | 2017-09-29 | 北斗卫星导航科技邢台有限公司 | A kind of deformation high-precision intelligent detection method towards subterranean tunnels such as civil air defense works |
| CN107316299A (en) * | 2017-07-13 | 2017-11-03 | 云南数云信息科技有限公司 | Ancient architecture deformed monitoring method and system based on three-dimensional point cloud technology |
| CN107967789A (en) * | 2017-12-07 | 2018-04-27 | 何旭连 | A kind of efficient natural calamity automatic early-warning system |
| CN108460959A (en) * | 2018-04-09 | 2018-08-28 | 重庆甲虫网络科技有限公司 | A kind of building and geological disaster monitoring system based on low-power consumption Internet of Things |
| CN109584515B (en) * | 2018-12-21 | 2021-12-28 | 武汉万集信息技术有限公司 | Mountain disaster early warning method and device and readable storage medium |
| CN109584515A (en) * | 2018-12-21 | 2019-04-05 | 武汉万集信息技术有限公司 | Method for early warning, device and the readable storage medium storing program for executing of massif disaster |
| CN110596715A (en) * | 2019-09-20 | 2019-12-20 | 中国有色金属长沙勘察设计研究院有限公司 | Intelligent waterline identification system and positioning method |
| CN110596715B (en) * | 2019-09-20 | 2021-07-06 | 中国有色金属长沙勘察设计研究院有限公司 | Intelligent waterline identification system and positioning method |
| CN111141365A (en) * | 2020-01-14 | 2020-05-12 | 浙江天禹信息科技有限公司 | Non-contact all-dimensional hydrological water level monitoring method |
| CN112505720A (en) * | 2020-10-29 | 2021-03-16 | 北京全路通信信号研究设计院集团有限公司 | Multi-line laser radar-based slope disaster monitoring system and method |
| CN112429493A (en) * | 2020-11-27 | 2021-03-02 | 华能国际电力股份有限公司上海石洞口第二电厂 | Bucket wheel machine automatic control method and system based on stack collapse detection |
| CN113108700A (en) * | 2021-04-28 | 2021-07-13 | 上海同禾工程科技股份有限公司 | Displacement checking system and displacement checking method based on machine vision |
| CN113240887A (en) * | 2021-05-14 | 2021-08-10 | 深圳市安泰数据监测科技有限公司 | Slope rockfall collapse monitoring method, device and equipment |
| CN113701707A (en) * | 2021-08-27 | 2021-11-26 | 叶富建 | Automatic monitoring system and method for collapse geological disaster |
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