CN105989697A - Multi-source sensor-based landslide monitoring and early-warning device - Google Patents
Multi-source sensor-based landslide monitoring and early-warning device Download PDFInfo
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- CN105989697A CN105989697A CN201510041862.3A CN201510041862A CN105989697A CN 105989697 A CN105989697 A CN 105989697A CN 201510041862 A CN201510041862 A CN 201510041862A CN 105989697 A CN105989697 A CN 105989697A
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Abstract
The invention relates to a multi-source sensor-based landslide monitoring and early-warning device. The device comprises a data acquisition module, a data transmission module, a data processing module and a landslide early-warning module. The data acquisition module adopts a multi-source sensor to collect real-time data. The data transmission module comprises a broadband transmission unit and a narrowband transmission unit, wherein the broadband transmission unit and the narrowband transmission unit are respectively used for transmitting image data and non-image data. The data processing module is used for judging the working quality of the sensor and extracting a landslide monitoring factor through processing data collected by the sensor, and obtaining a digital elevation model through processing image data. The landslide early-warning module is used for checking whether the landslide monitoring factor exceeds a preset threshold range or not so as to figure out the occurrence risk of a landslide and send out an alarm. Compared with the prior art, the multi-source sensor is adopted for combined measurement, so that the landslide monitoring accuracy and the early-warning confidence are improved. Meanwhile, multiple data communication apparatuses different in characteristics are adopted according to the amount of the collected data of the sensor, so that the transmission cost is reduced.
Description
Technical field
The present invention relates to a kind of landslide prior-warning device, especially relate to a kind of landslide monitoring based on Multiple Source Sensor
And prior-warning device.
Background technology
Landslide disaster, i.e. all kinds of landslides, avalanche, the synthesis of mud-stone flow disaster, triggered by multiple extraneous factors and produce
Raw, such as earthquake, volcano, river degradation, snow melt, rainfall and mankind's activity etc..Secondary caused by major landslip
The destructive power of disaster is even considerably beyond its direct destructive power.Landslide risk assessment is with management, early-warning and predicting always
It is the disaster reduction and prevention effective way advocated in the world and promote.Be badly in need of at present carrying out major landslip body itself directly and
Accurate monitoring is to grasp the accumulation on landslide and surrounding enviroment change and triggering factors at any time.And it is how effectively integrated
Multiple sensors will be a huge challenge to reach the target of landslide precision monitor and slide prediction early warning.
It at present in the middle of the study of warning of reply landslide disaster, is frequently used ground transaucer or contactless biography
Sensor.Ground transaucer refers generally to measure the pressure gauge (such as earth pressure gauge) of soil internal pressure, in measurement soil
The WG (such as pore pressure gauge) of portion's water content, the displacement meter etc. of measured zone deformation.It is used alone ground
Face sensor, can obtain the change information within soil in real time, but its data are many and presence sensor data
The problem of rough error, there is certain difficulty in the data variation that the change of difference landslide and sensor rough error cause.It is used alone
Noncontacting proximity sensor, such as camera, sensor or LiDAR etc. that video camera etc. obtains image obtain earth's surface three
The sensor of dimension point cloud, field conditions when can show that landslide occurs intuitively.But image and cloud data have
Certain hysteresis quality, needs to obtain, by flow processs such as later stage process, the landslide monitoring factor needing, it is impossible to accomplish
Timely early warning.
Landslide analysis experiment conventional at present uses numerical model experiment Analysis mostly.Numerical model can
Imitating the generation on landslide to a certain extent, but slip mass has respective attributive character, and numerical model is difficult to
Completely represent the situation occurred on reality landslide.
Content of the invention
Defect that the purpose of the present invention is contemplated to overcome above-mentioned prior art to exist and provide and a kind of pass based on multi-source
The landslide monitoring of sensor and prior-warning device.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of landslide monitoring based on Multiple Source Sensor and prior-warning device, it is characterised in that include data acquisition module,
Data transmission module, data processing module, data monitoring module and landslide warning module；
Described data acquisition module, including ground transaucer and noncontacting proximity sensor, is used for gathering real-time live
Data；
Described data transmission module, including broadband transmission unit and narrow band transmission unit, described broadband transmission unit
For transmitting image data, described narrow band transmission unit is used for transmitting both non-visual data；
Described data processing module, the work quality of the data judging sensor by sensor is collected, based on
Calculate the landslide monitoring factor and carry out to image data processing acquisition digital elevation model；
Described landslide warning module, for checking whether the described landslide monitoring factor exceeds the threshold range setting,
Determine whether the danger on landslide and send alarm.
The described landslide monitoring factor includes pore water pressure, displacement, pressure, acceleration and landslide external cause.
Described ground transaucer includes slit gauge, boring pressure meter, earth pressure gauge, osmometer, displacement meter, hole
Gap WG, big dipmeter, little dipmeter, Hygrothermograph, weather station, accelerometer and rainfall gauge.
Described noncontacting proximity sensor includes high-speed camera, low-velocity camera and CCTV camera.
Described broadband transmission unit is iMesh.
Described narrow band transmission unit includes the 3G router for transmitting both non-visual data and for collecting non-visual
The serial server of data.
The decision method of the work quality to sensor for the described data transmission module particularly as follows:
The ground transaucer data and the threshold range of setting receiving are compared, if exceeding this threshold range,
Then judge that this sensor abnormality works, otherwise then think this normal operation of sensor.
Described landslide monitoring and prior-warning device also include data visualization module, for described landslide monitoring because of
Son is fabricated to tables of data and curve map, together visualizes with working sensor quality information, landslide monitoring video
Process.
Compared with prior art, the invention have the advantages that
1. use the multiple types of floors sensor measurement method that combine photogrammetric with noncontacting proximity sensor to slide
Slope is measured, and the analysis method merging multi-source data is conducive to the confidence level of accuracy and the early warning improving landslide control.
2. gather the size of data volume according to sensor, use the data communication instrument of multiple different qualities, for number
According to the little ground transaucer of amount, reduce transmission cost by narrow band transmission；For the big image data of data volume then
Transmitted by broadband；The small data quantity that multipath transmission means makes requirement of real-time of a relatively high will not be because of reality
When property requires that the transmission of relatively low big data quantity causes being blocked in transmitting procedure.
3. the data by obtaining from ground transaucer, obtain the work state information of ground transaucer and draw ground
The data variation curve map of sensor, carries out visualization processing, display data change intuitively and landslide simultaneously to it
The association of state.
4., by being modeled to the Monitoring Data calculated landslide monitoring factor realizing landslide early warning, reduce disaster
Casualties is avoided in loss.
Brief description
Fig. 1 is the present embodiment slip mass SOIL DISTRIBUTION schematic diagram；
Fig. 2 is the control flow chart of functional module of the present invention.
Detailed description of the invention
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.
Embodiment
Hongkou township, Hydroelectric Power Station in Sichuan Dujiangyan is mainly come down and is simulated and utilizes this device by the present embodiment on the spot
Based on the landslide monitoring and prior-warning device of Multiple Source Sensor, it is monitored.
According to Hongkou township, Hydroelectric Power Station in Sichuan Dujiangyan come down on the spot the gradient 20 degree-40 degree between, determine simulation landslide
The body gradient is 30 degree, 15 degree, 5 degree three sections.Simulated experiment landslide underframe is mainly by the common brick that width is 1.5 meters
Building, the length of three sections of gradients of slip mass is 2 meters, and the maximum height of slip mass is 3 meters.According to all rivers
A large amount of rubbles and the loose soil characteristic of soil property are contained on landslide in Yan Shi Hongkou township, and simulation slip mass is designed as two-layer:
Lower floor's layer depth is first argillic horizon 10 of 0.6 meter and the second argillic horizon 11 that top layer layer depth is 0.2 meter.In order to more
Observe the sliding condition of each position slip mass clearly, every one meter near glass other perfusion 0.1 rice diameter
Color husky 12.Argillic horizon 1 is intended using clay, sand to mix with 1:3；Argillic horizon 2 is intended using clay, sand
Son mixes with 1:4.Design specification figure is as shown in Figure 1.
Model have employed full-automatic artificially-simulated rainfall system.Precipitation system is mainly made up of precipitation water pipe.On landslide
Above the steelframe of the body every section gradient, lay the plastic water pipe of six roots of sensation band valve, in order to control precipitation time and precipitation
Flow.A cistern is connect outside Landslide Model, the water filling in water channel by water pipe, and pass through rainfall gauge or gas
As station calculates rainfall.Ground water regime is mostly installed above the slideway that inclination angle is 30 degree, under simulation base area
The rise of water level, moisture content penetrates into soil horizon and produces impact to landslide.
Data acquisition module 21 and the slip mass of apparatus of the present invention 20 are directly connected to, and i.e. lay altogether on slip mass
22 ground transaucers, lay 5 noncontacting proximity sensors outside slip mass.The corresponding monitoring of each sensor
The factor is as shown in table 1.Simulated the starter crack on surface of coming down with this by the change of ground height in slip mass.
Crack bottom is furnished with 6 pore pressure gauges, monitors the change of pore water pressure in the middle part of landslide with this.Same straight line
2 dipmeters of upper configuration, the in real time different high-rise change in displacement in monitoring underground.Displacement meter is installed at top, comes with this
The misalignment on monitoring landslide.
Table 1 sensor and the extraction factor table of comparisons
Two frame low speed cameras are respectively erected in the front left side at 0.5 meter of Landslide Model toe front and forward right side, frame
If height about 1m, two camera spacing about 1.5m.Place a frame high speed phase at the rear of two frame low speed cameras respectively
Machine, antenna height is about 1.1m, slightly above low speed video camera.In order to ensure frame rate requirement during shooting, sliding
It is some that body side, slope sets up light source.Due to the needs of the restriction of memory space and actual conditions, filming frequency according to
Landslide different phase and adjust.At the experiment initial stage, within every 1 minute, obtain a cubic phase pair；When slip mass starts
During change, frame frequency is adjusted to 1 frame/second；When the main body that comes down starts to slide, gradually step up filming frequency, sliding
In the stage of slope most motion intense, arranging frame frequency is 20-30 frame/second；When slowly tending towards stability in landslide, more gradually
Reduce filming frequency.In order to enable panorama monitoring landslide surface, at distance toe about 0.5 meter, lay video camera, shooting
Machine setting height(from bottom) is 4～6 meters.
The data transmission module 22 of apparatus of the present invention uses the instrument of 5 data communications altogether: 3 iMesh are used for
Noncontacting proximity sensor (camera) data are transmitted；1 3G router (removes camera for ground transaucer
Sensor in addition) data transmission；1 serial server is used for ground transaucer tidal data recovering.Test site is simulated
All the sensors totally 27, wherein noncontacting proximity sensor 5 in experiment, ground transaucer 22, sensor
Classification and corresponding communication modes are as shown in table 2.
Table 2 sensor communication aggregation
The data passed back are processed in real time by the data processing module 23 of the present invention, the data of ground transaucer
Respectively with its threshold comparison, it is determined that the duty of this sensor.Landslide monitoring is carried out to the sensing data receiving
The extraction of the factor, obtains the factors such as the pore water pressure of this slip mass zones of different, displacement, pressure, acceleration.
Data visualization module 24 is made data drawing list according to the Monitoring factors extracting and is shown, by ground transaucer
Duty, ground transaucer data drawing list and landslide monitoring video display are in interface.Meanwhile, landslide early warning
Module 25, according to Monitoring factors, working sensor state and the synthesis analysis combining video image, checks landslide
Whether Monitoring factors is beyond the threshold range setting, it may be judged whether has and the danger on landslide occurs and sends alarm to set up sliding
Slope Early-warning Model, carries out real-time early warning to landslide dangerous situation, and the threshold range of setting can be by empirically determined, example
As used for reference the region that had occurred and that landslide similar with institute survey region geographical conditions, which is reference determination threshold value.
Claims (8)
1. the landslide monitoring based on Multiple Source Sensor and prior-warning device, it is characterised in that include data acquisition
Module, data transmission module, data processing module, data monitoring module and landslide warning module；
Described data acquisition module, including ground transaucer and noncontacting proximity sensor, is used for gathering real-time live
Data；
Described data transmission module, including broadband transmission unit and narrow band transmission unit, described broadband transmission unit
For transmitting image data, described narrow band transmission unit is used for transmitting both non-visual data；
Described data processing module, the work quality of the data judging sensor by sensor is collected, based on
Calculate the landslide monitoring factor and carry out to image data processing acquisition digital elevation model；
Described landslide warning module, for checking whether the described landslide monitoring factor exceeds the threshold range setting,
Determine whether the danger on landslide and send alarm.
2. a kind of landslide monitoring based on Multiple Source Sensor according to claim 1 and prior-warning device, it is special
Levying and being, the described landslide monitoring factor includes pore water pressure, displacement, pressure, acceleration and landslide external cause.
3. a kind of landslide monitoring based on Multiple Source Sensor according to claim 1 and prior-warning device, it is special
Levy and be, described ground transaucer include slit gauge, boring pressure meter, earth pressure gauge, osmometer, displacement meter,
Pore pressure gauge, big dipmeter, little dipmeter, Hygrothermograph, weather station, accelerometer and rainfall gauge.
4. a kind of landslide monitoring based on Multiple Source Sensor according to claim 1 and prior-warning device, it is special
Levying and being, described noncontacting proximity sensor includes high-speed camera, low-velocity camera and CCTV camera.
5. a kind of landslide monitoring based on Multiple Source Sensor according to claim 1 and prior-warning device, it is special
Levying and being, described broadband transmission unit is iMesh.
6. a kind of landslide monitoring based on Multiple Source Sensor according to claim 1 and prior-warning device, it is special
Levying and being, described narrow band transmission unit includes the 3G router for transmitting both non-visual data and non-for collecting
The serial server of image data.
7. a kind of landslide monitoring based on Multiple Source Sensor according to claim 1 and prior-warning device, it is special
Levy and be, the decision method of the work quality to sensor for the described data transmission module particularly as follows:
The ground transaucer data and the threshold range of setting receiving are compared, if exceeding this threshold range,
Then judge that this sensor abnormality works, otherwise then think this normal operation of sensor.
8. a kind of landslide monitoring based on Multiple Source Sensor according to claim 1 and prior-warning device, it is special
Levying and being, described landslide monitoring and prior-warning device also include data visualization module, for described landslide prison
Survey the factor and be fabricated to tables of data and curve map, with working sensor quality information, landslide monitoring video is together carried out can
Depending on change process.
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Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106600905A (en) * | 2017-02-24 | 2017-04-26 | 上海博历机械科技有限公司 | Effective geological disaster monitoring system |
| CN107609284A (en) * | 2017-09-20 | 2018-01-19 | 西南科技大学 | A kind of method of quantitative assessment Landslide hazards |
| CN108320461A (en) * | 2018-02-08 | 2018-07-24 | 中国地质大学（武汉） | A kind of landslide disaster monitoring device and its monitoring method |
| CN108564769A (en) * | 2018-06-12 | 2018-09-21 | 中国地质环境监测院 | A kind of distributed landslide monitoring early warning system and method based on narrowband Internet of Things |
| CN108613698A (en) * | 2018-05-02 | 2018-10-02 | 中铁十九局集团第七工程有限公司 | The weak protection dynamic monitoring system of unilateral high slope shallow cut and its monitoring method |
| CN109741575A (en) * | 2018-12-29 | 2019-05-10 | 南昌大学 | A kind of large size caving of dangerous rock real-time system for monitoring and pre-warning |
| CN111784978A (en) * | 2020-07-14 | 2020-10-16 | 云南大学 | Plateau mountain land landslide hazard early warning system based on daily displacement rate |
| CN112788719A (en) * | 2020-12-28 | 2021-05-11 | 电子科技大学 | High-low speed network cooperative transmission system and method |
| CN112950901A (en) * | 2021-01-25 | 2021-06-11 | 江苏霆善科技有限公司 | Disaster monitoring system and method based on data analysis |
| CN113114935A (en) * | 2021-04-07 | 2021-07-13 | 中煤科工集团重庆研究院有限公司 | Vibration identification method based on video image |
| CN113160521A (en) * | 2020-10-24 | 2021-07-23 | 深圳市北斗云信息技术有限公司 | Trigger type debris flow detection method, device and system |
| CN113473404A (en) * | 2021-07-02 | 2021-10-01 | 华南农业大学 | Agricultural Internet of things communication method and device based on wide-band and narrow-band fusion |
| CN114299692A (en) * | 2021-12-29 | 2022-04-08 | 中国电建集团贵阳勘测设计研究院有限公司 | Landslide displacement monitoring and early warning system and method based on information fusion |
| CN114973605A (en) * | 2022-05-20 | 2022-08-30 | 苏州浪潮智能科技有限公司 | Road mountain landslide early warning method, device, equipment and medium |
| CN115014272A (en) * | 2022-05-31 | 2022-09-06 | 河海大学 | Intelligent dam monitoring device based on Internet of things and installation and monitoring method |
| CN117144942A (en) * | 2023-08-30 | 2023-12-01 | 广东交通职业技术学院 | Slope engineering reinforcement state sensing protection monitoring method and system |
| CN117367342A (en) * | 2023-12-07 | 2024-01-09 | 中国地质调查局水文地质环境地质调查中心 | Landslide displacement monitoring system |
| WO2024138750A1 (en) * | 2022-12-29 | 2024-07-04 | 北星空间信息技术研究院(南京)有限公司 | Big-data-based intelligent sensing alarm system and method |
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| CN106600905A (en) * | 2017-02-24 | 2017-04-26 | 上海博历机械科技有限公司 | Effective geological disaster monitoring system |
| CN107609284A (en) * | 2017-09-20 | 2018-01-19 | 西南科技大学 | A kind of method of quantitative assessment Landslide hazards |
| CN107609284B (en) * | 2017-09-20 | 2020-11-03 | 西南交通大学 | Method for quantitatively evaluating landslide disaster risk |
| CN108320461A (en) * | 2018-02-08 | 2018-07-24 | 中国地质大学（武汉） | A kind of landslide disaster monitoring device and its monitoring method |
| CN108613698A (en) * | 2018-05-02 | 2018-10-02 | 中铁十九局集团第七工程有限公司 | The weak protection dynamic monitoring system of unilateral high slope shallow cut and its monitoring method |
| CN108564769A (en) * | 2018-06-12 | 2018-09-21 | 中国地质环境监测院 | A kind of distributed landslide monitoring early warning system and method based on narrowband Internet of Things |
| CN109741575A (en) * | 2018-12-29 | 2019-05-10 | 南昌大学 | A kind of large size caving of dangerous rock real-time system for monitoring and pre-warning |
| CN111784978A (en) * | 2020-07-14 | 2020-10-16 | 云南大学 | Plateau mountain land landslide hazard early warning system based on daily displacement rate |
| CN111784978B (en) * | 2020-07-14 | 2023-02-24 | 云南大学 | Plateau mountain land landslide hazard early warning system based on daily displacement rate |
| CN113160521A (en) * | 2020-10-24 | 2021-07-23 | 深圳市北斗云信息技术有限公司 | Trigger type debris flow detection method, device and system |
| CN112788719A (en) * | 2020-12-28 | 2021-05-11 | 电子科技大学 | High-low speed network cooperative transmission system and method |
| CN112950901B (en) * | 2021-01-25 | 2024-01-02 | 江苏霆善科技有限公司 | Disaster monitoring system and method based on data analysis |
| CN112950901A (en) * | 2021-01-25 | 2021-06-11 | 江苏霆善科技有限公司 | Disaster monitoring system and method based on data analysis |
| CN113114935A (en) * | 2021-04-07 | 2021-07-13 | 中煤科工集团重庆研究院有限公司 | Vibration identification method based on video image |
| CN113473404A (en) * | 2021-07-02 | 2021-10-01 | 华南农业大学 | Agricultural Internet of things communication method and device based on wide-band and narrow-band fusion |
| CN114299692A (en) * | 2021-12-29 | 2022-04-08 | 中国电建集团贵阳勘测设计研究院有限公司 | Landslide displacement monitoring and early warning system and method based on information fusion |
| CN114973605A (en) * | 2022-05-20 | 2022-08-30 | 苏州浪潮智能科技有限公司 | Road mountain landslide early warning method, device, equipment and medium |
| CN114973605B (en) * | 2022-05-20 | 2024-02-23 | 苏州浪潮智能科技有限公司 | Method, device, equipment and medium for pre-warning landslide of road |
| CN115014272A (en) * | 2022-05-31 | 2022-09-06 | 河海大学 | Intelligent dam monitoring device based on Internet of things and installation and monitoring method |
| CN115014272B (en) * | 2022-05-31 | 2024-02-06 | 河海大学 | Dyke intelligent monitoring device based on Internet of things and installation and monitoring method |
| WO2024138750A1 (en) * | 2022-12-29 | 2024-07-04 | 北星空间信息技术研究院(南京)有限公司 | Big-data-based intelligent sensing alarm system and method |
| CN117144942A (en) * | 2023-08-30 | 2023-12-01 | 广东交通职业技术学院 | Slope engineering reinforcement state sensing protection monitoring method and system |
| CN117367342A (en) * | 2023-12-07 | 2024-01-09 | 中国地质调查局水文地质环境地质调查中心 | Landslide displacement monitoring system |
| CN117367342B (en) * | 2023-12-07 | 2024-03-12 | 中国地质调查局水文地质环境地质调查中心 | Landslide displacement monitoring system |
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