CN102183781A - Mountain landslide supervision method - Google Patents
Mountain landslide supervision method Download PDFInfo
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- CN102183781A CN102183781A CN 201110008198 CN201110008198A CN102183781A CN 102183781 A CN102183781 A CN 102183781A CN 201110008198 CN201110008198 CN 201110008198 CN 201110008198 A CN201110008198 A CN 201110008198A CN 102183781 A CN102183781 A CN 102183781A
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Abstract
The invention discloses a mountain landslide dense supervision method. The method is composed of supervision units which can be densely distributed (each unit is 50m*50m, or 100m*100m, etc.) and a plurality of temporary supervision centers. The supervision unit includes one or more polymer piezoelectric sensing units which are used to sense a relative displacement of the base slope rock layer to the loose soil-stone layer and the stress variation of a sliding layer, and a processing unit. The processing unit preprocesses the received perception signal or data from the sensing unit, and then sends the received perception signal or data to the supervision center. The supervision center is responsible for receiving the data sent by a plurality of supervision units in a larger area, and analyzing, processing the data. The data exchanges also exist among the supervision centers so as to acquire the relative displacement of the base slope rock layer to the loose soil-stone layer and the earth stress variation of a larger area, thus carrying out the mountain landslide analysis and prediction. The mountain landslide supervision method has the characteristics of low cost, easy installation, and flexible network construction, and can realize a real-time dense supervision of an arbitrary large area mountain landslide precursor.
Description
[technical field]
The present invention relates to landslide monitoring instrument instrument and sensor and circuit design field, be specifically related to a kind of low cost, can the dense layout monitoring point, thereby cover the landslide omen method of real-time of any large area region.
[background technology]
Landslide, avalanche are one of main disasteies in mountain area.They not only produce to industrial or agricultural and people's lives and properties bring about great losses, and are also causing very big harm aspect railway, highway, the Hydraulic and Hydro-Power Engineering.The generation on landslide and development both be subjected to formation condition, as controls such as topography and geomorphology, geologic lithology, tectonic structure, hydrogeological conditions, were subjected to risk factor again, as the influence of rainfall, mankind's activity.The a large amount of rainfalls of heavy rain, especially continuity are one of key factors that cause on the landslide.
On the good relatively hillside of vegetation, vegetation can water conservation, has offset the erosion damage of heavy rain to the hillside.When vegetation is destroyed, heavy rain just along veneer of soil stone to the infiltration of depths, hillside, reach tight and intact rock stratum until rainwater.At this moment rainwater and along the rock stratum, bosom to the mountain current downflow, in the course of time, tight rock stratum, bottom and top layer loose ground stone layer are separated by rainwater, veneer of soil stone layer be mingled with rainwater under the self gravitation effect to the hillside lower slider, form the rubble flow landslide.
Therefore, the key on monitoring rubble flow and landslide is relative slip and the terrane stress variation between intensive monitoring rock stratum.
[summary of the invention]
Fundamental purpose of the present invention is exactly the problem that solves the intensive construction of facing measuring point that is difficult to realize in the omen monitoring technology of existing landslide, a kind of landslide omen monitoring method is provided, have low cost, can the dense layout monitoring point, the abnormal conditions of the sloping bed rock layer in monitor large-area zone and rock stratum top loose ground stone layer relative displacement in real time and STRESS VARIATION, thus carry out landslide analysis and forecast.
For achieving the above object, the invention provides a kind of specific monitoring means structure, it is characterized in that: comprise at least one monitoring means and at least one monitoring center, described each monitoring means comprises at least one multipolymer piezoelectricity slope bed rock layer and rock stratum top loose ground stone layer relative displacement sensing unit and multipolymer piezoelectric stress and changes sensing unit, a processing unit, and connect with at least one monitoring center.Other monitoring technology that monitoring means is compared current use have extremely low cost, can be in less zones, and such as 50m * 50m, 100m * 100m, or the like, monitoring point of layout, thus make a monitoring center can cover a bigger zone.Described monitoring means comprises one or more multipolymer piezoelectricity slope bed rock layers and rock stratum top loose ground stone layer relative displacement sensing unit and multipolymer piezoelectric stress and changes sensing unit, a processing unit.Sensing unit can obtain the information of basal bed and sliding layer relative displacement generation, can obtain the variation of 0.01kPa to 1000kPa stress.Processing unit carries out the data of sensing unit sending to the monitoring means of monitoring center of monitoring center by big regional dense layout by wired or wireless mode after the pre-service, realizes the intensive monitoring in big zone, as the foundation of landslide analysis and forecast.The multipolymer piezoelectric sensor of described sensing unit, perception slope bed rock layer and rock stratum top loose ground stone layer relative displacement and STRESS VARIATION, the passive cable of perceptual signal process (such as, superpower toughness high density polyethylene, can be when direct-burried waterproof, low electric capacity 89pF/m, can reach 100m or longer) be transferred to ground, carry out sample quantization again after being connected to processing unit.The sloping bed rock layer of the reflection institute overlay area that provides by the large quantities of monitoring means that connect this monitoring center and rock stratum top loose ground stone layer relative displacement situation and STRESS VARIATION, analysis-by-synthesis is got rid of local interference, carries out the analysis and the forecast of landslide.The interconnection of a plurality of monitoring center can cover bigger zone.
The invention has the beneficial effects as follows:
The relative displacement and the STRESS VARIATION of low-cost monitoring basal bed, hillside in real time and ravelly ground can dense layout, and cover any large area region, thereby grasp the real-time change of rock stratum relative displacement of whole monitored area and stress.Solve not have the low cost that realizes for a long time, the problem of setting up of real-time monitoring point that highly dense intensity, large tracts of land cover, forecast for landslide omen analysis and landslide and to set up detailed, accurate, believable Monitoring Data basis.
[description of drawings]
Fig. 1 is that monitoring means and monitoring center connect one to one.
Fig. 2 is that a monitoring center connects two monitoring means.
Fig. 3 is that the monitoring center of three monitoring means of connection is interconnected.
Fig. 4 is a kind of application-specific analysis of the present invention.
Fig. 5 is a kind of embodiment of monitoring means.(convenient for statement, we are called SP with monitoring means)
[embodiment]
The application's feature and advantage will be by embodiment, in conjunction with the accompanying drawings.
For explaining conveniently, we are called SP with monitoring means, and monitoring center is called SC.By the interconnected landslide omen monitoring that just can realize big arbitrarily zone of a series of SP and SC, this kind structure comprises at least one SP and at least one SC, and at least one among SP and the SC is interconnected, and SC and SC's is interconnected, as shown in Figures 1 to 3.
SP and SC, SC and SC interconnected all can adopt wireless or wired mode, certainly, are dispersed in the interconnected with wireless convenient more of open-air SP and SC in a large number.
Fig. 4 is the application-specific analysis of an embodiment of the present invention, SP of regional layout at 100m * 100m, be total to 100 SP of layout in the zone of 1km * 1km like this, 10 SC of regional layout at 10km * 10km, be total to 100 SC of layout in the zone of 100km * 100km like this, per 100 SP arrive at least one SC by GPRS or the wireless distributing data of 3G module, SC is by 3G wireless module and wired interconnected, make each SC can obtain Zone Full SP data monitored, thereby monitor the landslide omen in real time.
Fig. 5 is the embodiment of a kind of SP, comprises among the SP that a multipolymer piezoelectricity rock stratum relative displacement sensing unit and a multipolymer piezoelectric stress change sensing unit (representing with SA and SS respectively), a processing unit.The SA sensing unit can obtain the generation of relative displacement, and the SS sensing unit can obtain the variable quantity of 0.01kPa to 1000kPa stress; Processing unit comprises that a signal to sensing unit carries out pretreated modules such as digitizing, GPRS or 3G module, and a power management module provides power management, and pretreated data send to monitoring center by GPRS or 3G wireless mode.
The data that SP sends comprise at least:
The sign of SP (each SP has unique identification);
Geographical location information (coordinate);
Monitoring time precision (can be as accurate as millisecond);
Face the time interval of surveying or sending data;
Rock stratum relative displacement in this time interval;
The variation of the stress in this time interval;
The time interval of monitoring time precision, monitoring or transmission data, or the like, all can be provided with.
Above content be in conjunction with a kind of embodiment to further describing that the present invention did, can not assert that concrete enforcement of the present invention is confined to these explanations.For the general technical staff of the technical field of the invention, without departing from the inventive concept of the premise, can also make some simple deduction or replace, all should be considered as belonging to protection scope of the present invention.
Claims (4)
1. the monitoring means of intensive real-time monitoring landslide, one kind big zone omen and the system of monitoring center form structure, it is characterized in that: comprise at least one monitoring means and at least one monitoring center, described each monitoring means comprises at least one multipolymer piezoelectricity slope bed rock layer and rock stratum top loose ground stone layer relative displacement sensing unit and multipolymer piezoelectric stress and changes sensing unit, a processing unit, and connect with at least one monitoring center.Other monitoring technology that monitoring means is compared current use have extremely low cost, can be in less zones, and such as 50m * 50m, 100m * 100m, or the like, monitoring point of layout, thus make a monitoring center can cover a bigger zone.
2. specific monitoring means structure as claimed in claim 1 is characterized in that: described monitoring means comprises one or more multipolymer piezoelectricity slope bed rock layers and rock stratum top loose ground stone layer relative displacement sensing unit and multipolymer piezoelectric stress and changes sensing unit, a processing unit.Sensing unit can obtain the information of basal bed and sliding layer relative displacement generation, can obtain the variation of 0.01kPa to 1000kPa stress.Processing unit carries out the data of sensing unit sending to monitoring center by wired or wireless mode after the pre-service.Monitoring center realizes the intensive monitoring in big zone by the monitoring means of big regional dense layout, as the foundation of landslide analysis and forecast.
3. specific sensing unit structure as claimed in claim 2, it is characterized in that: the multipolymer piezoelectric sensor of described sensing unit, perception slope bed rock layer and rock stratum top loose ground stone layer relative displacement and STRESS VARIATION, the passive cable of perceptual signal process (such as, superpower toughness high density polyethylene, can be when direct-burried waterproof, low electric capacity 89pF/m, can reach 100m or longer) be transferred to ground, carry out sample quantization again after being connected to processing unit.
4. monitoring center as claimed in claim 1 structure, tool is characterised in that: the sloping bed rock layer of the reflection institute overlay area that provides by the large quantities of monitoring means that connect this monitoring center and rock stratum top loose ground stone layer relative displacement situation and STRESS VARIATION, analysis-by-synthesis, get rid of local interference, carry out the analysis and the forecast of landslide.The interconnection of a plurality of monitoring center can cover bigger zone.
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CN102509420A (en) * | 2011-10-12 | 2012-06-20 | 北京科技大学 | Landslide forecast method based on deformation information of critical-sliding area |
CN102998029A (en) * | 2012-11-07 | 2013-03-27 | 中国地质大学(武汉) | Multi-field information monitoring method for physical model of landslide evolution process |
CN104332025A (en) * | 2014-11-19 | 2015-02-04 | 江西西菱轨道交通技术发展有限公司 | Protected surface accurate monitoring alarm system |
CN106772626A (en) * | 2015-11-25 | 2017-05-31 | 中央大学 | Structure collapse monitoring and early warning system and method |
CN107014328A (en) * | 2017-05-25 | 2017-08-04 | 北京中船信息科技有限公司 | A kind of surface drag-line force-measuring type geological disaster automatic monitoring device and method |
CN108873102A (en) * | 2018-06-08 | 2018-11-23 | 北京大学深圳研究生院 | Monitoring data processing method and landslide forecasting procedure for landslide |
CN109001792A (en) * | 2018-06-08 | 2018-12-14 | 北京大学深圳研究生院 | Monitoring data processing method, method for forecasting earthquake and system for earthquake prediction |
CN109542995A (en) * | 2018-11-19 | 2019-03-29 | 四川大学 | A kind of reservoir area landslide analysis method |
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Cited By (13)
Publication number | Priority date | Publication date | Assignee | Title |
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CN102509420A (en) * | 2011-10-12 | 2012-06-20 | 北京科技大学 | Landslide forecast method based on deformation information of critical-sliding area |
CN102509420B (en) * | 2011-10-12 | 2014-01-01 | 北京科技大学 | Landslide forecast method based on deformation information of critical-sliding area |
CN102998029A (en) * | 2012-11-07 | 2013-03-27 | 中国地质大学(武汉) | Multi-field information monitoring method for physical model of landslide evolution process |
CN104332025B (en) * | 2014-11-19 | 2017-08-18 | 江西西菱轨道交通技术发展有限公司 | One kind is by the accurate monitoring and alarming system of protection face |
CN104332025A (en) * | 2014-11-19 | 2015-02-04 | 江西西菱轨道交通技术发展有限公司 | Protected surface accurate monitoring alarm system |
CN106772626A (en) * | 2015-11-25 | 2017-05-31 | 中央大学 | Structure collapse monitoring and early warning system and method |
CN107014328A (en) * | 2017-05-25 | 2017-08-04 | 北京中船信息科技有限公司 | A kind of surface drag-line force-measuring type geological disaster automatic monitoring device and method |
CN107014328B (en) * | 2017-05-25 | 2023-09-26 | 北京中船信息科技有限公司 | Surface inhaul cable force measuring type geological disaster automatic monitoring device and method |
CN108873102A (en) * | 2018-06-08 | 2018-11-23 | 北京大学深圳研究生院 | Monitoring data processing method and landslide forecasting procedure for landslide |
CN109001792A (en) * | 2018-06-08 | 2018-12-14 | 北京大学深圳研究生院 | Monitoring data processing method, method for forecasting earthquake and system for earthquake prediction |
CN109001792B (en) * | 2018-06-08 | 2023-11-14 | 北京大学深圳研究生院 | Monitoring data processing method for earthquake prediction, earthquake prediction method and system |
CN109542995A (en) * | 2018-11-19 | 2019-03-29 | 四川大学 | A kind of reservoir area landslide analysis method |
CN109542995B (en) * | 2018-11-19 | 2022-05-06 | 四川大学 | Method for analyzing landslide of reservoir area |
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Application publication date: 20110914 |