CN105678967A - Debris flow early warning system based on satellite remote sensing image - Google Patents

Debris flow early warning system based on satellite remote sensing image Download PDF

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Publication number
CN105678967A
CN105678967A CN201610248825.4A CN201610248825A CN105678967A CN 105678967 A CN105678967 A CN 105678967A CN 201610248825 A CN201610248825 A CN 201610248825A CN 105678967 A CN105678967 A CN 105678967A
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China
Prior art keywords
information
remote sensing
debris flow
warning system
node
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CN201610248825.4A
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Chinese (zh)
Inventor
张书豪
陈凯
罗兆楠
张鹏
王海鹏
马金锋
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State Grid Ac Engineering Construction Co
State Grid Corp of China SGCC
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State Grid Ac Engineering Construction Co
State Grid Corp of China SGCC
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Priority to CN201610248825.4A priority Critical patent/CN105678967A/en
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/10Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes

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  • Life Sciences & Earth Sciences (AREA)
  • Environmental & Geological Engineering (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geology (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Alarm Systems (AREA)
  • Testing Or Calibration Of Command Recording Devices (AREA)

Abstract

The invention provides a debris flow early warning system based on a satellite remote sensing image. The debris flow early warning system comprises a wireless sensing network system, a communication system which is connected with the wireless sensing network system through information, a data processing center which is connected with the communication system through information, and an early warning system which is connected with the data processing center through information. The wireless sensing network system comprises multiple displacement sensor nodes, soil moisture sensor nodes, soil internal pressure sensor nodes, rainfall sensor nodes and balance sensor nodes. According to the debris flow early warning system based on the satellite remote sensing image, displacement information, soil moisture information, soil internal pressure information, rainfall information and balance information can be integrated together through integration of multiple disaster factors to predict the occurring probability of debris flow based on the target region terrain situations provided by the remote sensing image so that the debris flow early warning system based on the satellite remote sensing image is more comprehensive, accurate and authoritative for analysis of the disaster situation.

Description

Debris flow early-warning system based on satellite remote sensing images
Technical field
The present invention relates to mud-rock flow and face calamity early warning system technical field, concrete, relate to a kind of debris flow early-warning system based on satellite remote sensing images.
Background technology
Geological disaster research is a systematic engineering of business, including the prospecting of geological disaster, monitoring, prevention forecast and preventing and treating. The purpose of geological disaster research is in that preventing and treating, and disaster infringement is reduced to bottom line. Preventing and treating geological disaster to put prevention first, to prevent to combine with improvement. Will pre-Geological disaster prevention effectively, or reasonably administer geological disaster in advance, be required for spatio-temporal prediction forecast geological disaster carried out promptly and accurately. For that purpose it is necessary on the basis of prospecting, the development trend of geological disaster is carried out the monitoring of long-term system. Only on a large amount of reliably bases that monitoring materials is analysed scientifically, prediction promptly and accurately just can be made. Geological Hazards Monitoring is not only major tasks and the key link of geological disaster research, and is prerequisite and the key measure of effectively preventing and treating geological disaster. Strengthening Geological Hazards Monitoring, improve the science of monitoring and the reliability of monitoring materials, one by strengthening geological disaster consciousness, and two by putting into, and three by science and technology. Wherein, strive for the modernization of monitoring technology, ways and means, it is critical that. In recent years, many countries are all making full use of modern science and technology in the world, strengthen the research of monitoring technology for geological hazards, ways and means energetically. Modern Geological Hazards Monitoring new technique, new method and new tool constantly occur, and develop rapidly towards automatization, computerized and systematized direction.
The formation condition of landslide is mainly as follows:
(1) thing source condition: whether landslide, mud-rock flow are depended on forming whether district exists the solid matter can being activated in a large number, such as loose sand, rubble, soil, mine tailing, waste etc. Native stone amount loose in ditch is more many easily come down, mud-rock flow.
(2) water condition: water is not only the ingredient of mud-rock flow, is also the transporting medium of bulk solid mass. Water source refers mainly to rainfall, reservoir bursts water, surface water etc.
(3) geographic and geomorphic conditions: the generation of landslide, development are mainly had two aspect effects by topography and geomorphology:
One, it is that landslide, mud-rock flow provide potential energy by ditch bed ground potential condition, gives the energy of landslide, certain erosion, carrying and the accumulation of mud-rock flow;
Two, in certain evolving stage of hillside fields or groove, it is provided that sufficient amount of water body and soil stone body.
Natural variation and man's activity can result in geological environment or geologic body changes, and when this change reaches to a certain degree, landslide, mud-stone flow disaster will occur. Landslide, mud-rock flow have emergentness and the feature such as flow velocity is big, flow is big, matter content is big and destructive power is strong, and usually can destroy by rush of water the means of transportation such as highway, railway, even villages and small towns etc., brings about great losses.
Current existing debris flow monitoring pre-warning system, focuses mostly in the probability of happening by the data prediction mud-rock flow in future such as soil moisture, rainfall, but, these early warning systems have a common defect, it does not have consider the topography and geomorphology impact on mud-rock flow.
Summary of the invention
For overcoming the deficiencies in the prior art, it is provided that a kind of can comprehensively each side index and landform are because usually judging the early warning system of mud-rock flow probability of happening, the present invention provides a kind of debris flow early-warning system based on satellite remote sensing images, including:
Wireless sensing network system;
Communication system, is connected with wireless sensing network system information;
Data processing centre, is connected with communication system information;
Early warning system, is connected with data processing centre information;
Wherein, described wireless sensing network system includes multiple displacement transducer node, water transformed into soil node, soil internal pressure sensor node, rainfall amount sensor node and balance sensor node.
Wherein, the plurality of sensor node is all integrated on the network monitor node in wireless sensing network system.
Wherein, described wireless sensing network system also includes multiple aggregation node for converging multiple sensor node information.
Wherein, described communication system includes data communication system and image communication system.
Wherein, described data communication system includes wireless messages monitoring station, wireless bridge and CORS system, and described wireless messages monitoring station is connected with CORS system and wireless bridge information, and described wireless bridge is connected with data processing centre information.
Wherein, described image communication system includes remote sensing satellite and information emitting module, and described remote sensing satellite and information emitting module information connect, and described information emitting module is connected with data processing centre information.
Wherein, between described remote sensing satellite and information emitting module also successively information be connected to filtering input amplifier, big stepping numerical-control attenuator, amplitude modulation(PAM) module, little stepping numerical-control attenuator and filtering out amplifier.
Wherein, described remote sensing satellite is No. two satellites of high score.
Debris flow early-warning system based on satellite remote sensing images provided by the invention, can comprehensive multiple disaster factors, by displacement information, soil moisture information, soil internal pressure information, rainfall information together with balance information integration, on the basis of the target area physical features situation of remote sensing images offer, prediction mud-rock flow probability of happening, to the condition of a disaster analysis more comprehensively, accurate and authoritative.
Accompanying drawing explanation
Fig. 1: the structural representation of the present invention;
Fig. 2: the structural representation of the wireless sensing network system of the present invention;
Fig. 3: the structural representation of the data communication system of the present invention;
Fig. 4: the structural representation of the image communication system of the present invention.
Detailed description of the invention
Further understand in order to technical scheme and beneficial effect are had, coordinate accompanying drawing to describe the beneficial effect of technical scheme and generation thereof in detail below.
As Figure 1-Figure 2, for the structural representation of the debris flow early-warning system based on satellite remote sensing images and the wireless sensing network system structural representation of the present invention, the debris flow early-warning system based on satellite remote sensing images of the present invention includes:
Wireless sensing network system, described wireless sensing network system includes multiple displacement transducer node, water transformed into soil node, soil internal pressure sensor node, rainfall amount sensor node and balance sensor node; The plurality of sensor node is all integrated on the network monitor node in wireless sensing network system; Described wireless sensing network system also includes multiple aggregation node for converging multiple sensor node information.
Communication system, is connected with wireless sensing network system information.
Data processing centre, is connected with communication system information;
Early warning system, is connected with data processing centre information, when sending early warning information for the heart in data handling, sends different early warning signals according to different Alert Standard, thus reminding staff to take the corresponding precautionary measures.
Wherein, described communication system includes data communication system and image communication system.
Fig. 3 show the structural representation of the data communication system of the present invention, as shown in the figure, described data communication system includes wireless messages monitoring station, wireless bridge and CORS system, described wireless messages monitoring station is connected with CORS system and wireless bridge information, and described wireless bridge is connected with data processing centre information.
Further, described wireless messages monitoring station includes intelligence receiver and network transmission component, described intelligence receiver is for receiving the location information that CORS system sends, displacement information, soil moisture information, soil internal pressure information, rainfall information and the balancing information that in integration of wireless sensor-based system, multiple displacement transducer nodes, water transformed into soil node, soil internal pressure sensor node, rainfall amount sensor node and balance sensor node send simultaneously, and the information after integrating is sent to data processing centre by wireless bridge.
Fig. 4 show the structural representation of the image communication system of the present invention, as shown in the figure, described image communication system includes remote sensing satellite and information emitting module, and described remote sensing satellite and information emitting module information connect, and described information emitting module is connected with data processing centre information.
Data message and image information that data communication system and image communication system are sent by data processing centre are integrated, analyze the occurrence probability of mud-rock flow further, thus the debris flow early-warning system based on satellite remote sensing images provided by the invention, can comprehensive multiple disaster factors, by displacement information, soil moisture information, soil internal pressure information, rainfall information together with balance information integration, on the basis of the target area physical features situation of remote sensing images offer, prediction mud-rock flow probability of happening, to the condition of a disaster analysis more comprehensively, accurate and authoritative.
Preferably, between described remote sensing satellite and information emitting module also successively information be connected to filtering input amplifier, big stepping numerical-control attenuator, amplitude modulation(PAM) module, little stepping numerical-control attenuator and filtering out amplifier. Filtering input amplifier is filtered amplifying for the signal that remote sensing satellite is collected, big stepping numerical-control attenuator for carrying out the quantitative decay of big stepping to signal, amplitude modulation(PAM) module carries out sinusoidal amplitude modulation for signal, little stepping numerical-control attenuator for carrying out corresponding trace decay to signal, and filtering out amplifier is for output after signal being filtered, amplifying. By the design of this structure, it is possible to ensure the life cycle of whole communication system, save communication overhead.
Preferably, described remote sensing satellite is No. two satellites of high score.
Although the present invention has utilized above-mentioned preferred embodiment to illustrate; so it is not limited to protection scope of the present invention; any those skilled in the art are within without departing from the spirit and scope of the present invention; relative above-described embodiment carries out various variation and still belongs to, with amendment, the scope that the present invention protects, and therefore protection scope of the present invention is with being as the criterion that claims define.

Claims (8)

1. the debris flow early-warning system based on satellite remote sensing images, it is characterised in that including:
Wireless sensing network system;
Communication system, is connected with wireless sensing network system information;
Data processing centre, is connected with communication system information;
Early warning system, is connected with data processing centre information;
Wherein, described wireless sensing network system includes multiple displacement transducer node, water transformed into soil node, soil internal pressure sensor node, rainfall amount sensor node and balance sensor node.
2. the debris flow early-warning system based on satellite remote sensing images as claimed in claim 1, it is characterised in that: the network monitor node in described wireless sensing network system is all integrated with multiple displacement transducer nodes of described wireless sensing network system, water transformed into soil node, soil internal pressure sensor node, rainfall amount sensor node and balance sensor node.
3. the debris flow early-warning system based on satellite remote sensing images as claimed in claim 1, it is characterised in that: described wireless sensing network system also includes multiple aggregation node for converging multiple displacement transducer node, water transformed into soil node, soil internal pressure sensor node, rainfall amount sensor node and balance sensor nodal information.
4. the debris flow early-warning system based on satellite remote sensing images as claimed in claim 1, it is characterised in that: described communication system includes data communication system and image communication system.
5. the debris flow early-warning system based on satellite remote sensing images as claimed in claim 4, it is characterized in that: described data communication system includes wireless messages monitoring station, wireless bridge and CORS system, described wireless messages monitoring station is connected with CORS system and wireless bridge information, and described wireless bridge is connected with data processing centre information.
6. the debris flow early-warning system based on satellite remote sensing images as claimed in claim 4, it is characterized in that: described image communication system includes remote sensing satellite and information emitting module, described remote sensing satellite and information emitting module information connect, and described information emitting module is connected with data processing centre information.
7. the debris flow early-warning system based on satellite remote sensing images as claimed in claim 6, it is characterised in that: between described remote sensing satellite and information emitting module, also information is connected to filtering input amplifier, big stepping numerical-control attenuator, amplitude modulation(PAM) module, little stepping numerical-control attenuator and filtering out amplifier successively.
8. the debris flow early-warning system based on satellite remote sensing images as claimed in claim 6, it is characterised in that: described remote sensing satellite is No. two satellites of high score.
CN201610248825.4A 2016-04-20 2016-04-20 Debris flow early warning system based on satellite remote sensing image Pending CN105678967A (en)

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CN110390149A (en) * 2019-07-10 2019-10-29 成都理工大学 A kind of meizoseismal area debris flow prediction technique based on material resource aggregate amount
CN114089332A (en) * 2021-12-01 2022-02-25 中大检测(湖南)股份有限公司 Geological disaster early warning system based on radar and remote sensing technology
CN115083115A (en) * 2022-06-14 2022-09-20 成都理工大学 Debris flow early warning method induced by combined action of rainfall and temperature rise

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Publication number Priority date Publication date Assignee Title
CN110390149A (en) * 2019-07-10 2019-10-29 成都理工大学 A kind of meizoseismal area debris flow prediction technique based on material resource aggregate amount
CN114089332A (en) * 2021-12-01 2022-02-25 中大检测(湖南)股份有限公司 Geological disaster early warning system based on radar and remote sensing technology
CN115083115A (en) * 2022-06-14 2022-09-20 成都理工大学 Debris flow early warning method induced by combined action of rainfall and temperature rise
CN115083115B (en) * 2022-06-14 2023-11-03 成都理工大学 Debris flow early warning method induced by combined action of rainfall and temperature rise

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Application publication date: 20160615