CN109163696A - The prediction on a kind of side, Landslide Deformation failure mode differentiates new method and new equipment - Google Patents
The prediction on a kind of side, Landslide Deformation failure mode differentiates new method and new equipment Download PDFInfo
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- CN109163696A CN109163696A CN201810948186.1A CN201810948186A CN109163696A CN 109163696 A CN109163696 A CN 109163696A CN 201810948186 A CN201810948186 A CN 201810948186A CN 109163696 A CN109163696 A CN 109163696A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/32—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring the deformation in a solid
Abstract
The present invention provides the predictions of a kind of side, Landslide Deformation mode to differentiate new method and new equipment, comprising steps of laying multiple ground deformation wireless sensors in side, landslide superficial Rock And Soil, multiple deep displacement sensors are laid in side, landslide depth Rock And Soil；Wireless sensor is deformed by ground and monitors the deformation of superficial Rock And Soil, and deep displacement sensor monitors the deformation of deep Rock And Soil, thus the deformation failure models on comprehensive descision side, landslide.The prediction on side, Landslide Deformation mode of the present invention differentiates that new method and new equipment are intuitively reacted using the micro-deformation of sensor perception Rock And Soil, and laying is easy, differentiates that result is accurate and visual；Meanwhile the differentiation process is not necessarily to artificial site inspection and monitoring, and intuitively border ring, Landslide Deformation situation and failure mode, realization Monitoring and forecasting system in real-time correct engineering measure can be taken to provide scientific basis for side, landslide.
Description
Technical field
The present invention relates to the predictions on side, Landslide Hazards monitoring field more particularly to a kind of side, Landslide Deformation mode to sentence
Other new method and new equipment.
Background technique
Currently, the differentiation on side, the stability on landslide and failure mode is mainly by Inclination body Geological And Geomorphological Features, ground
The investigation and analysis of volume property, the deformation of Rock-soil Mass Structure and some earth's surfaces and building and macroscopic failure sign etc. judge；
The investigation and analysis are broadly divided into qualitative analysis, quantitative analysis, test method and monitoring analysis, and field monitoring method is sliding as side
A kind of most common method of slope stability qualitative analysis.However, field monitoring needs a large amount of manpower and material resources, process is complicated, and
Cause monitoring to lag, is unable to reach the effect of timely early warning.
Summary of the invention
In order to solve the above technical problems, the invention reside in the predictions for providing a kind of side, Landslide Deformation mode to differentiate new method
And new equipment, it lagged with solving field monitoring time and effort consuming, process complexity and data in the prior art, be unable to reach timely prison
Survey the problem of early warning effect etc..
In view of the above technical problems, the present invention proposes that the prediction on a kind of side, Landslide Deformation mode differentiates new method, including step
It is rapid: to lay multiple ground in side, landslide Rock And Soil superficial and deform wireless sensor, laid in side, landslide Rock And Soil deep multiple
Deep displacement sensor；The superficial Rock And Soil deformation of wireless sensor monitoring is deformed by ground and deep displacement passes
The deep Rock And Soil deformation of sensor, comprehensive descision side, landslide deformation failure models.
In a preferred approach, the side, landslide include slopes leading edge to slopes rear, and multiple ground deform wireless sensor
It is laid from slopes leading edge and slopes rear interval；By being arranged monitoring holes on side, landslide, multiple deep displacement sensors along
The monitoring holes are vertically spaced laying to bottom hole from aperture.
In a preferred approach, which differentiates that new method also provides monitoring base station and rear system platform, passes through the monitoring
Transmit the deformation data of each ground deformation wireless sensor and the monitoring of each Rock And Soil deep displacement sensor in base station；It is flat by system
Platform is analyzed and is handled to the deformation data, to judge side, the deformation position on landslide and deformation failure models.
In a preferred approach, it when single ground deformation wireless sensor issues deformation and change in displacement signal, can determine that
For local small range collapsing.
In a preferred approach, when side, the multiple ground deformation wireless sensors of landslide regional area and at least one monitoring holes
When the Rock And Soil deep displacement sensor of interior shallow-layer position issues deformation and change in displacement signal, belong to local failure by leaking.
In a preferred approach, when multiple Rock And Soils in side, landslide whole region ground deformation wireless sensor and monitoring holes
When deep displacement sensor issues deformation and change in displacement signal, it can determine that as whole deep implication.
In a preferred approach, in side, the deformation pattern for coming down whole deep implication:
If first there is variable signal in the ground deformation wireless sensor and Rock And Soil deep displacement sensor of slopes rear, and
There is variable signal after the up-front ground deformation wireless sensor of slopes and Rock And Soil deep displacement sensor, the side,
The whole deep implication that comes down is thrust load caused landslide；
If first there is change in displacement letter in the up-front ground deformation wireless sensor of slopes and Rock And Soil deep displacement sensor
Number, and there is change in displacement letter after the ground of slopes rear deformation wireless sensor and Rock And Soil deep displacement sensor
Number, then the side, the whole deep implication that comes down are retrogressive landslide.
The present invention also proposes that a kind of side, Landslide Deformation model prediction differentiate new equipment, comprising: multiple ground deformations are wireless to be passed
Sensor, multiple deep displacement sensors, monitoring base station and system platform；Multiple ground deformations wireless sensor interval is laid in
Side, landslide Rock And Soil superficial, the ground deformation wireless sensor is to monitor side, landslide superficial Rock And Soil deformation；Multiple ground
Body deep displacement sensor be vertically spaced along monitoring holes is laid in side, landslide Rock And Soil deep, the deep displacement sensor with
Monitor side, the deformation of landslide depth Rock And Soil；Monitoring base station is deep to acquire the ground deformation wireless sensor and the Rock And Soil
The data information of position displacement sensor, and the data information is transmitted outward, while acquisition instructions can also be sent；System platform with
The data information transmitted by the monitoring base station is received, and the data information is analyzed and processed, obtains side, Landslide Deformation position
It sets, and judges side, Landslide Deformation failure mode.
In a preferred approach, the system platform includes: background server and mobile terminal；The background server is used
To handle the data information analysis；The mobile terminal, to show side, Landslide Deformation mode.
Compared with prior art, the invention has the following advantages: the prediction on side of the present invention, Landslide Deformation mode differentiates
New method deforms wireless sensor by laying multiple ground in side, landslide superficial Rock And Soil to monitor the deformation of superficial Rock And Soil
Situation, multiple Rock And Soil deep displacement sensors are to monitor deep Rock And Soil deformation, to judge the distorted pattern on side, landslide
Formula.The method of discrimination lays simplicity using the micro-deformation of sensor perception Rock And Soil, differentiates that result is accurate and visual；Meanwhile sentencing
Disconnected process is not necessarily to artificial site inspection and monitoring, can intuitive border ring, Landslide Deformation situation and failure mode, be side, landslide
Timely early warning and take timely measure offer scientific basis.
Further, each ground is transmitted by monitoring base station and deforms wireless sensor and each Rock And Soil deep displacement sensor
The Rock And Soil deformation data of monitoring, and by system platform to the Deformation data analysis and processing, it plays real-time monitoring and early warning is made
With to improve monitoring efficiency.
Detailed description of the invention
Fig. 1 is that the prediction on the present embodiment side, Landslide Deformation mode differentiates new method working principle diagram.
Fig. 2 be the present embodiment side, Landslide Deformation mode be partial collapse structural schematic diagram.
It is local failure by leaking structural schematic diagram that Fig. 3, which is the present embodiment side, Landslide Deformation mode,.
It is whole deep implication structural schematic diagram that Fig. 4, which is the present embodiment side, Landslide Deformation mode,.
Fig. 5 is the structural schematic diagram of the present embodiment thrust load caused landslide.
Fig. 6 is the structural schematic diagram of the present embodiment retrogressive landslide.
The reference numerals are as follows: 100, side, landslide；101, slopes leading edge；102, slopes rear；20, ground deforms nothing
Line sensor；201, ground deforms wireless sensor；202, ground deforms wireless sensor；203, ground deforms wireless sensing
Device；30, Rock And Soil deep displacement sensor；301, Rock And Soil deep displacement sensor；302, Rock And Soil deep displacement sensor；
303, Rock And Soil deep displacement sensor；31, Rock And Soil deep displacement sensor；32, inclinometer pipe；33, filler；40, it monitors
Base station；50, system platform；51, background server；52, mobile phone；60, repeater.
Specific embodiment
The exemplary embodiment for embodying feature of present invention and advantage will describe in detail in the following description.It should be understood that
The present invention can have various variations in different embodiments, neither depart from the scope of the present invention, and theory therein
Bright and diagram inherently is illustrated as being used, rather than to limit the present invention.
Refering to fig. 1 to Fig. 6, side provided in this embodiment, Landslide Deformation mode method of discrimination comprising: on side, landslide
100 Rock And Soil superficials lay multiple ground and deform wireless sensor 20, lay multiple ground in side, 100 Rock And Soil deeps of landslide
Body deep displacement sensor 30；Side, the landslide 100 superficial Rock And Soils deformation that wireless sensor 20 monitors are deformed by ground, with
And the side monitored of Rock And Soil deep displacement sensor 30,100 deep Rock And Soils deformation of coming down, the change on comprehensive descision side, landslide 100
Shape failure mode.
Further, the prediction on the present embodiment side, Landslide Deformation mode differentiates that new method also provides: monitoring base station 40 and being
System platform 50.Each ground, which is wirelessly transferred, by monitoring base station 40 deforms wireless sensor 20 and each Rock And Soil deep displacement sensor
30 deformation datas measured are to system platform 50；Wherein, in the present embodiment, Rock And Soil deep displacement sensor 30 with
Repeater 60 connects, and is wirelessly connected by repeater 60 and monitoring base station 40；Deformation data is carried out by system platform 50
Analysis and processing, to judge the deformation pattern on side, landslide 100.
More preferably, system platform 50 includes: background server 51 and mobile phone 52.Background server 51, to become to ground
The Deformation data analysis and processing that shape wireless sensor 20 and each deep displacement sensor 30 measure；Mobile phone 52 to show whenever and wherever possible
Show when, Landslide Deformation dynamic and background server 51 obtain, the deformation pattern on landslide 100.
In actual use, mobile phone 52 can also be other mobile terminals, not limit herein.
Specifically, side in the present embodiment, landslide 100 include: slopes leading edge 101 to slopes rear 102.This implementation
Multiple ground deformation wireless sensor 20 of example is spaced laying from slopes leading edge 101 to slopes rear 102；Multiple Rock And Soil deeps
Displacement sensor 30 is vertically laid along monitoring holes, and monitoring holes are depending on slopes monitoring section.Wherein, Rock And Soil deep displacement senses
Device 30 includes: the multiple Rock And Soil deep displacement sensors 31 being spaced apart in vertical direction, by side slope or landslide 100
Monitoring holes are set, and multiple Rock And Soil deep displacement sensor 31 is laid along monitoring holes from aperture to bottom hole interval, and are supervised
Gaging hole determines setting position depending on slopes monitoring section.
Further, multiple Rock And Soil deep displacement sensor 31 is fixedly installed in inclinometer pipe 32, more preferably, deviational survey
The interior space of pipe 32 has completely filled out filler 33, to reinforce the Rock And Soil deep displacement sensor 31 in fixed inclinometer pipe 32,
The Rock And Soil deep displacement of multiple positions on vertical direction is monitored by the deep displacement sensor 31 in inclinometer pipe 32.
The ground deformation wireless sensor 20 and Rock And Soil deep displacement sensor 31 of the present embodiment are roughly the same, wrap
It includes: sensing chip, signal conversion module, processor, data transmission module and battery.
Analog signal of the sensing chip to generate superficial change in displacement data.Signal conversion module connects sensing chip,
The analog signal of the superficial change in displacement data of sensing chip is converted into digital signal.Sensing chip monitors shallow
Layer change in displacement data-signal is analog signal, and processor can not identify, so needing to convert analog signals into digital signal.
Processor connection signal conversion module, the digital signal being converted into receive processing signal conversion module, to the number received
Word signal is handled；The effect of the processor is to handle the digital signal after conversion to facilitate data transmission module
114 outwardly transmit.Battery is to provide power supply to sensing chip, signal conversion module, processor and data transmission module.
Next, with side, the ground deformation wireless sensor 20 of 100 distribution of landslide and Rock And Soil deep displacement sensor 30
The Rock And Soil situation of change monitored is specifically described.
When ground deformation wireless sensor 201 single on side, landslide 100 monitors rock and soil body's displacement variation, pass through
Monitoring base station 40 transmits the signal to system platform 50, analyzes through system platform 50, judges the distorted pattern on the side, landslide 100
Formula is that local small range is collapsed, as shown in Figure 2.
It should be noted where can determining the single ground deformation wireless sensor 201 during the partial collapse
In region, the ground deformation wireless sensor 20 on periphery does not monitor Rock And Soil variable signal and obtains.Meanwhile in practical prison
During survey, it can also be that the single ground deformation wireless sensor 201 in different zones issues shallow-layer change in displacement signal.
When multiple ground in side, 100 regional areas of landslide deform in wireless sensor 202 and at least one monitoring holes shallowly
When table Rock And Soil deep displacement sensor 302 monitors rock and soil body's displacement variation, which deforms wireless sensor 202 and should
This is monitored that the signal of rock and soil body's displacement variation is sent to system by monitoring base station 40 by Rock And Soil deep displacement sensor 302
Platform 50 is analyzed through system platform 50, judge the side, come down 100 deformation pattern be determined as local failure by leaking, such as Fig. 3 institute
Show.
When side, landslide 100 whole region ground deformation wireless sensor 203 and Rock And Soil deep displacement sensor 303 are equal
When monitoring rock and soil body's displacement variation, ground deformation wireless sensor 203 and the Rock And Soil deep displacement sensor 303 pass through
This is monitored that the signal of rock and soil body's displacement variation is sent to system platform 50 by monitoring base station 40, is analyzed, is sentenced through system platform 50
Break the side, come down 100 deformation pattern be determined as whole deep implication, as shown in Figure 4.
Further, in above-mentioned side, the deformation pattern for coming down 100 whole deep implications further include: from slopes leading edge 101
It is monitored in time to each ground of slopes rear 102 deformation wireless sensor 20 and each Rock And Soil deep displacement sensor 30
Rock And Soil deforms successive, and judges the type of the whole deep implications in side, landslide 100.
Specifically, if the ground deformation wireless sensor 20 and Rock And Soil deep displacement sensor 30 of slopes rear 102 are first
Monitor that Rock And Soil deforms, and the ground of slopes leading edge 101 deformation wireless sensor 20 and Rock And Soil deep displacement sensor 30
After monitor that Rock And Soil deforms, then whole deep implication is thrust load caused landslide, as shown in Figure 5.
If the ground deformation wireless sensor 20 and deep displacement sensor 30 of slopes leading edge 101 first monitor that Rock And Soil becomes
Shape, and Rock And Soil is monitored after the ground of slopes rear 102 deformation wireless sensor 20 and Rock And Soil deep displacement sensor 30
Deformation, and side, landslide 100 is made to form multiple sliding blocks.As shown in Figure 6, sliding block 1 slides at first, and sliding block 2 is secondly in sliding block
Slided under 1 traction, rear slider 3 slided under the traction of sliding block 2, last sliding block 4 is issued in the traction of sliding block 3
Raw sliding, then whole deep implication forms retrogressive landslide, as shown in Figure 6.
The present embodiment while the prediction of, Landslide Deformation mode differentiate new method by while, be distributed multiple ground on landslide and become
Shape wireless sensor is to monitor superficial Rock And Soil deformation, and multiple Rock And Soil deep displacement sensors are to monitor deep Rock And Soil
Deformation, to judge the deformation pattern on side, landslide.The method of discrimination directly perceives the micro change of Rock And Soil using sensor
Shape, laying is simple and convenient, differentiates that result is accurate and visual；Meanwhile deterministic process is not necessarily to artificial site inspection and monitoring, it can be intuitive
Border ring, Landslide Deformation situation and failure mode provide scientific basis for side, the early warning on landslide and later regulation.
Further, each ground is transmitted by monitoring base station and deforms wireless sensor and each Rock And Soil deep displacement sensor
The Rock And Soil deformation data of monitoring, and by system platform to the Deformation data analysis and processing, it plays real-time monitoring and early warning is made
With to improve monitoring efficiency.
The present embodiment also provides a kind of side, Landslide Deformation model prediction differentiates new equipment comprising: multiple ground deform nothings
Line sensor 20, multiple Rock And Soil deep displacement sensors 30, a monitoring base station 40 and a system platform 50.
Multiple ground deformation wireless sensors 20 are spaced apart in side, 100 Rock And Soil shallow-layers of landslide, and ground deformation is wireless to be passed
Sensor 20 is to monitor side, the mobile variation of 100 superficials of landslide.Multiple Rock And Soil deep displacement sensors 30 are laid in side, landslide 100
Rock And Soil deep layer, Rock And Soil deep displacement sensor 30 is to monitor side, the mobile variation of 100 deep layers of landslide.Monitoring base station 40 is to adopt
Collect the data information of ground deformation wireless sensor 20 and Rock And Soil deep displacement sensor 30, and by the data information to unofficial biography
Transport to system platform 50.System platform 50 carries out the data information with receiving the data information transmitted by monitoring base station 40
Analysis processing, to obtain the deformation pattern on side, landslide 100.
The side, Landslide Deformation model prediction differentiate that the working principle of new equipment is same as above, and omit the description.
Although describing the present invention with reference to the above exemplary embodiment, it is to be understood that, term used be explanation and
Term exemplary, and not restrictive.Due to the present invention can be embodied in a variety of forms without departing from invention spirit or
Essence, it should therefore be appreciated that above embodiment is not limited to any of the foregoing details, and should be defined by the appended claims
The whole change and modification widely explained, therefore fallen into claim or its equivalent scope in spirit and scope all should be with
Attached claim is covered.
Claims (9)
1. the prediction on a kind of side, Landslide Deformation mode differentiates new method, which is characterized in that comprising steps of
Multiple ground are laid in side, landslide Rock And Soil superficial and deform wireless sensor, are laid in side, landslide Rock And Soil deep multiple
Deep displacement sensor；
It is monitored by the deformation of superficial Rock And Soil and Rock And Soil deep displacement sensor of ground deformation wireless sensor monitoring
Deep Rock And Soil deformation, comprehensive descision side, landslide deformation failure models.
2. the prediction on side as described in claim 1, Landslide Deformation mode differentiates new method, which is characterized in that the side, landslide
Including slopes leading edge to slopes rear, multiple ground deformation wireless sensors are from slopes leading edge to slopes rear longitudinal gap cloth
If；By being arranged monitoring holes on side, landslide, multiple Rock And Soil deep displacement sensors are along the monitoring holes from aperture to hole
Bottom longitudinal gap is laid.
3. the prediction on side as described in claim 1, Landslide Deformation mode differentiates new method, which is characterized in that the prediction differentiates
New method also provides monitoring base station and system platform, transmits each ground by the monitoring base station and deforms wireless sensor and each rock
The deformation data of soil body deep displacement sensor monitoring；The deformation data is analyzed and processed by system platform, is judged
Side, the deformation position on landslide and failure mode.
4. the prediction on side, Landslide Deformation mode as described in claims 1 to 3 any one differentiates new method, which is characterized in that
When single ground deformation wireless sensor issues variable signal, can determine that as local small range collapsing.
5. the prediction on side, Landslide Deformation mode as described in claims 1 to 3 any one differentiates new method, which is characterized in that
When the Rock And Soil deep of shallow-layer position in side, the multiple ground deformation wireless sensors of landslide regional area and at least one monitoring holes
When displacement sensor issues change in displacement signal, it can determine that as local failure by leaking.
6. the prediction on side, Landslide Deformation mode as described in claims 1 to 3 any one differentiates new method, which is characterized in that
When multiple Rock And Soil deep displacement sensors issue position in side, landslide whole region ground deformation wireless sensor and monitoring holes
When moving variable signal, it can determine that as whole deep implication.
7. the prediction on side as claimed in claim 6, Landslide Deformation mode differentiates new method, which is characterized in that whole on side, landslide
In the deformation pattern of body deep implication:
If the ground deformation wireless sensor of slopes rear and Rock And Soil deep displacement sensor first occurs deforming and change in displacement
Signal, and occur deforming after slopes up-front ground deformation wireless sensor and Rock And Soil deep displacement sensor and change in displacement
Signal then can determine that side, landslide rear Rock And Soil first deform, deform after leading edge Rock And Soil, i.e., the side, landslide belong to passage formula and slide
Slope；
If slopes up-front ground deformation wireless sensor and Rock And Soil deep displacement sensor first occur deforming and change in displacement
Signal, and occur deforming after the ground of slopes rear deformation wireless sensor and Rock And Soil deep displacement sensor and change in displacement
Signal then can determine that side, landslide leading edge Rock And Soil first deform, deform after rear Rock And Soil, i.e., the side, landslide belong to towed cunning
Slope.
8. a kind of side, Landslide Deformation model prediction differentiate new equipment characterized by comprising
Multiple ground deform wireless sensor, and interval is laid in side, landslide Rock And Soil superficial, and the ground deforms wireless sensor
To monitor side, landslide superficial Rock And Soil deformation；
Multiple Rock And Soil deep displacement sensors are vertically spaced from aperture to bottom hole according to monitoring holes and are laid in side, landslide ground
Body deep, the Rock And Soil deep displacement sensor is to monitor side, landslide Rock And Soil deep layer deformation；
Monitoring base station, to acquire the data letter of the ground deformation wireless sensor and the Rock And Soil deep displacement sensor
Breath, and the data information is transmitted outward, while acquisition instructions can also be sent；
System platform to receive the data information transmitted by the monitoring base station, and is analyzed and processed the data information, obtains
Side, Landslide Deformation position out, and judge side, Landslide Deformation failure mode.
9. side as claimed in claim 8, Landslide Deformation model prediction differentiate new equipment, which is characterized in that the system platform
It include: background server and mobile terminal；The background server, to handle data information analysis；The mobile terminal,
To show side, Landslide Deformation dynamic and deformation pattern.
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| CN109738480A (en) * | 2019-03-28 | 2019-05-10 | 凌贤长 | A kind of the frost heave device and its monitoring method of scene comprehensive monitoring soil |
| CN110514812A (en) * | 2019-08-08 | 2019-11-29 | 重庆地质矿产研究院 | Landslide thrust monitoring and early warning method based on stability coefficient |
| CN111473779A (en) * | 2020-03-17 | 2020-07-31 | 北京工业大学 | Method for identifying and monitoring deformation of landslide-tunnel system in linkage manner |
| CN111985032A (en) * | 2020-08-20 | 2020-11-24 | 哈尔滨工业大学 | Method for judging earthquake failure mode of pile foundation |
| CN114812490A (en) * | 2021-01-18 | 2022-07-29 | 中国石油天然气股份有限公司 | Method and device for monitoring deformation of tank wall of storage tank |
| CN115198815A (en) * | 2022-07-27 | 2022-10-18 | 东南大学 | Side slope internal deformation distributed monitoring system based on piezoelectric self-sensing geotechnical cable and construction method |
| CN116386279A (en) * | 2022-12-20 | 2023-07-04 | 南华大学 | Slope slip monitoring system and safety early warning method based on FBG-FRP intelligent anchor rod |
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| CN116386279A (en) * | 2022-12-20 | 2023-07-04 | 南华大学 | Slope slip monitoring system and safety early warning method based on FBG-FRP intelligent anchor rod |
| CN116386279B (en) * | 2022-12-20 | 2024-02-13 | 南华大学 | Slope slip monitoring system and safety early warning method based on FBG-FRP intelligent anchor rod |
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