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CN104821067A - Landslide disaster early warning system based on unmanned aerial vehicle relay WIFI or radio data transmission and early warning method thereof - Google Patents

Landslide disaster early warning system based on unmanned aerial vehicle relay WIFI or radio data transmission and early warning method thereof
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Publication number
CN104821067A
CN104821067ACN201510255606.4ACN201510255606ACN104821067ACN 104821067 ACN104821067 ACN 104821067ACN 201510255606 ACN201510255606 ACN 201510255606ACN 104821067 ACN104821067 ACN 104821067A
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wifi
stake
data
unmanned vehicle
transmission module
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杨梓暄
何小明
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Abstract

The invention discloses a landslide disaster early warning system based on unmanned aerial vehicle relay WIFI or radio data transmission, which comprises a plurality of detection points, an unmanned aerial vehicle and a data processing center, wherein solar energy and wind energy, in combination with a power supply device, provide power for each detection point, a data acquisition system acquires an inclination angle parameter of each detection pile and a displacement parameter between piles, and processing and analysis are carried out; if an analysis result exceeds a limit, a sound and light alarm is started, and a nearby person is warned or the unmanned aerial vehicle patrolling at the detection point is indicated to enter an emergency mode; a WIFI or radio data transmission module is used for acquiring the detected and recorded parameter of each detection pile, and an image acquisition system is used for acquiring on-site image data; and the unmanned aerial vehicle returns the data processing center urgently, the inclination angle parameter, the displacement parameter between piles and the image data of each detection point are downloaded to a data processing and analysis module of the data processing center via the WIFI or radio data transmission module, historical data are combined for disaster analysis, and a handling suggestion on the disaster is given.

Description

The disaster of mountain massif coast early warning system passed based on WIFI or the radio number of unmanned vehicle relaying and method for early warning thereof
Technical field:
The present invention relates to disaster of mountain massif coast early warning system and the method for early warning thereof of a kind of WIFI based on unmanned vehicle relaying or radio number biography, be especially applicable to landform bad environments, be difficult to the massif accomplishing to obtain landslide in time.
Background technology:
Landslide is the common natural geologic hazard in the whole world.Casualties, property loss in certain limit are not only caused in landslide, also can cause serious threat to neighbouring road traffic.Usually give industrial and agricultural production and people's lives and properties bring about great losses, have or even destructive disaster.After tradition landslide is detected and is mainly arranged fixing sensor and instrument at the scene, the data read by gathering artificial timing obtain the safety case come down, be difficult to even cannot to capture in time landslide and close on the most precious information before unstability, therefore can not carry out prediction and alarm to landslide situation timely and accurately.Current landslide detection early warning system often adopts arranges various kinds of sensors at the scene, carries out Wireless Data Transmission, carry out data analysis, draw test result by back-end services platform by GPRS/3G.But the environmental resource of hotspots, landslide is relatively less, the covering of 3G signal, electric power differs completely satisfied surely, also will to possibility destructive test equipment such as heavy rain, strong wind, insolation, artificial destructions.Therefore have impact on being suitable for of this type of detection system to a certain extent, so need a kind of landslide data acquisition system (DAS) of the various landform, resources supplIes and the communication condition that meet mountain area.
Summary of the invention:
The present situation of prediction and alarm is difficult to carry out landslide situation timely and accurately in order to overcome existing landslide detection system, the invention provides disaster of mountain massif coast early warning system and the method for early warning thereof of a kind of WIFI based on unmanned vehicle relaying or radio number biography, it take unmanned vehicle as data relay, make measuring points placement flexible, not by the impact of topographic condition, do not need personnel on site to gather, and the novel disaster early warning system of landslide can be obtained by demand in time yet.
The present invention adopts following technical scheme: the disaster of mountain massif coast early warning system that a kind of WIFI based on unmanned vehicle relaying or radio number pass, and it comprises and is arranged in several check points that dangerous situation easily sends out a region; Unmanned vehicle; And data processing centre (DPC);
Described check point comprises the first detection stake, second detects stake, 3rd detects stake, first obliquity sensor, second obliquity sensor, 3rd obliquity sensor, ultrasonic distance-measuring sensor, for check point provides the solar wind-energy of required electric energy in conjunction with electric supply installation, data acquisition system (DAS), one WIFI or radio digital transmission module and audible-visual annunciator, described ultrasonic distance-measuring sensor is loaded into the top of the first detection stake, first obliquity sensor, second obliquity sensor, 3rd obliquity sensor is corresponding is respectively installed on the first detection stake, second detects stake, the bottom of the 3rd detection stake,
Described unmanned vehicle comprises the 2nd WIFI or radio digital transmission module, on-board data processing module and image capturing system, described data acquisition system respectively detects between the dip angle parameter of stake and stake and exports through the first WIFI or radio digital transmission module after displacement parameter, received by the 2nd WIFI or radio digital transmission module, image capturing system acquisition testing dot image data;
Described data processing centre (DPC) comprises Data Management Analysis module, for receiving displacement parameter between the dip angle parameter of each detection stake and stake that the 2nd WIFI or the transmission of radio digital transmission module come and for receiving check point view data that image capturing system collects and by the parameter of reception and image transmitting to the 3rd WIFI of Data Management Analysis module or radio digital transmission module and the unmanned vehicle scheduler module being used for controlling unmanned vehicle flight.
Further, it is 3 ~ 5 meters that described first detection stake, the second detection stake and the 3rd detect stake spacing each other.
The present invention also adopts following technical scheme: the method for early warning of the disaster of mountain massif coast early warning system that a kind of WIFI based on unmanned vehicle relaying or radio number pass, it comprises the steps:
(1). data acquisition system respectively detects displacement parameter between the dip angle parameter of stake and stake, and analyzes, if analysis result transfinites, then enters step (2), if analysis result does not transfinite, then enters step (3);
(2). start audible-visual annunciator, the unmanned vehicle that near warning, personnel or prompting are patrolled and examined at this check point enters emergency mode, export through the first WIFI or radio digital transmission module after displacement parameter between the dip angle parameter of each detection stake of data acquisition system and stake, received by the 2nd WIFI or radio digital transmission module, image capturing system acquisition testing dot image data simultaneously, unmanned vehicle return data processing enter, 3rd WIFI or radio digital transmission module receive displacement parameter between the dip angle parameter of each detection stake come from the 2nd WIFI or the transmission of radio digital transmission module and stake and receive the check point view data that collects from image capturing system and by the parameter that receives and image transmitting to Data Management Analysis module, Data Management Analysis module carries out the condition of a disaster analysis in conjunction with historical data, and provide the condition of a disaster treatment advice,
(3). unmanned vehicle is controlled to continue to patrol and examine next check point by unmanned vehicle scheduler module by operation plan.
The present invention has following beneficial effect:
(1) transmission of employing WIFI data overcomes the problem that mountain area GPRS/3G signal can not cover completely, landslide is detected more accurately instant;
(2) physical process produced from landslide is set about, and measures the inclination angle obtaining sliding mass change procedure physical message, motion of coming down by ultrasonic distance-measuring sensor and obliquity sensor, simple to operate, with low cost;
(3) utilize unmanned vehicle to carry out image acquisition and data relay, the information that different for slope body check point obtains is gathered and comprehensively analyzes warning, unmanned automatic early-warning can be realized, can not environmental restraint be subject to simultaneously;
(4) spot sensor employing solar cell is combined with wind-powered electricity generation and powers, and without the need to vertical rod power transmission, saves manpower and resource;
(5) be applicable to multiple landform, simple installation, without the need to professional's operation, and cost is low, extensively can lay and be applied to the massif near the village in mountain area, residential block, important railway and highway etc.
Accompanying drawing illustrates:
Fig. 1 the present invention is based on the WIFI of unmanned vehicle relaying or the disaster of mountain massif coast early warning system of radio number biography.
Fig. 2 is that solar wind-energy is in conjunction with electric supply installation figure.
Fig. 3 is the installation site figure detecting stake and obliquity sensor, ultrasonic distance-measuring sensor.
Embodiment:
Please refer to shown in Fig. 1, the present invention is based on disaster of mountain massif coast early warning system that the WIFI of unmanned vehicle relaying or radio number pass and comprise and be arranged in several check points (wherein each check point comprise the first detection stake, second detect stake, the 3rd and detect stake, the first obliquity sensor, the second obliquity sensor, the 3rd obliquity sensor, ultrasonic distance-measuring sensor, solar wind-energy in conjunction with electric supply installation, data acquisition system (DAS), a WIFI or radio digital transmission module and audible-visual annunciator) that dangerous situation easily sends out a region; Unmanned vehicle (comprising image capturing system, on-board data processing module and the 2nd WIFI or radio digital transmission module); Data processing centre's (the 3rd WIFI or radio digital transmission module, Data Management Analysis module and unmanned vehicle scheduler module).Unmanned vehicle is controlled by the flight dispatch module of data processing centre (DPC), timing or immediately patrol and examine certain or multiple check point.Each check point is powered in conjunction with electric supply installation by solar wind-energy, and solar wind-energy can overcome in conjunction with electric supply installation that check point is powered not easily, the problem of charge in batteries difficulty.Under the environment having wind or have sunlight, by wind/light complementation controller, solar panel or aerogenerator electricity are used for charging a battery, keep battery power sufficient.Respectively detect displacement parameter between the dip angle parameter of stake and stake by data acquisition system, row relax analysis of going forward side by side, if analysis result transfinites, then starts audible-visual annunciator, and the unmanned vehicle that near warning, personnel or prompting are patrolled and examined at this check point enters emergency mode.Export through the first WIFI or radio digital transmission module after displacement parameter between the dip angle parameter of each detection stake of data acquisition system and stake, received by the 2nd WIFI or radio digital transmission module, image capturing system acquisition testing dot image data simultaneously, unmanned vehicle return data processing enter, 3rd WIFI or radio digital transmission module receive displacement parameter between the dip angle parameter of each detection stake come from the 2nd WIFI or the transmission of radio digital transmission module and stake and receive the check point view data that collects from image capturing system and by the parameter that receives and image transmitting to Data Management Analysis module, Data Management Analysis module carries out the condition of a disaster analysis in conjunction with historical data, and provide the condition of a disaster treatment advice.
The present invention is based in the WIFI of unmanned vehicle relaying or the disaster of mountain massif coast early warning system of radio number biography uses solar wind-energy in conjunction with electric supply installation, to meet the power demands under various weather condition.
The course of work of the disaster of mountain massif coast early warning system of WIFI or the radio number biography that the present invention is based on unmanned vehicle relaying is specifically introduced below by an embodiment:
The disaster of mountain massif coast early warning system of the WIFI or radio number biography that the present invention is based on unmanned vehicle relaying arranges a check point in hazardous location, each landslide, wherein each check point detects stake and the 3rd detect stake by mountain shape the first detection stake, second that is triangularly arranged, and wherein first detects stake, second and detects stake, the 3rd and detect stake space between each other 3 ~ 5 meters.Wherein detect stake based on first, at its top loading ultrasonic distance-measuring sensor, measure second respectively to detect stake and the 3rd and detect the distance that stake top is detected in the top of stake and bottom and first, and be recorded as distance 1,2,3,4 by data acquisition system (DAS), detect stake in the first detection stake, second simultaneously, the first obliquity sensor, the second obliquity sensor, the 3rd obliquity sensor are arranged respectively with different depth in the 3rd bottom detecting stake, and have data acquisition system (DAS) to be recorded as inclination angle 1,2,3.Wherein needed for the first obliquity sensor, the second obliquity sensor, the 3rd obliquity sensor and ultrasonic distance-measuring sensor, electric energy is provided in conjunction with electric supply installation by solar wind-energy, to guarantee that each check point is powered normally under various weather environment.To go forward side by side row relax analysis.If analysis result transfinites, then start audible-visual annunciator, the unmanned vehicle that near warning, personnel or prompting are patrolled and examined at this check point enters emergency mode.
Unmanned vehicle is controlled by the flight dispatch module of data processing centre (DPC), timing or immediately patrol and examine certain or multiple check point, the parameter of each detection stake of detection record is obtained by the 2nd WIFI or radio digital transmission module, and by the image scene data of image capturing system from 3 each check points of angle acquisition.The check point that unmanned vehicle is patrolled and examined is if there is dangerous situation, then urgent return data processing enter, if without dangerous situation, continues to patrol and examine next check point by operation plan.After unmanned vehicle return data processing enter, by the 3rd WIFI or radio digital transmission module by displacement parameter between the inclination angle of each check point and stake, image data download to the Data Management Analysis module of data processing centre (DPC), carry out the condition of a disaster analysis in conjunction with historical data, and provide the condition of a disaster treatment advice.
In the present invention by the first obliquity sensor, the second obliquity sensor, the 3rd obliquity sensor and ultrasonic distance-measuring sensor can the inclination angle of indirect inspection sliding mass change procedure physical message, landslide motion, and to be collected by data acquisition system (DAS).Adopt unmanned vehicle as data relay simultaneously, make measuring points placement flexible, not by the impact of topographic condition, also do not need personnel on site to gather.Utilize unmanned vehicle can collection in worksite image simultaneously, comprehensively analyze with data results.The present invention is based on that disaster of mountain massif coast early warning system that the WIFI of unmanned vehicle relaying or radio number pass has that cost is low, the long-life, simple installation, the feature such as simple to operate, it apply remarkable in economical benefits.
The above is only the preferred embodiment of the present invention, it should be pointed out that for those skilled in the art, can also make some improvement under the premise without departing from the principles of the invention, and these improvement also should be considered as protection scope of the present invention.

Claims (3)

(2). start audible-visual annunciator, the unmanned vehicle that near warning, personnel or prompting are patrolled and examined at this check point enters emergency mode, export through the first WIFI or radio digital transmission module after displacement parameter between the dip angle parameter of each detection stake of data acquisition system and stake, received by the 2nd WIFI or radio digital transmission module, image capturing system acquisition testing dot image data simultaneously, unmanned vehicle return data processing enter, 3rd WIFI or radio digital transmission module receive displacement parameter between the dip angle parameter of each detection stake come from the 2nd WIFI or the transmission of radio digital transmission module and stake and receive the check point view data that collects from image capturing system and by the parameter that receives and image transmitting to Data Management Analysis module, Data Management Analysis module carries out the condition of a disaster analysis in conjunction with historical data, and provide the condition of a disaster treatment advice,
CN201510255606.4A2015-05-192015-05-19Landslide disaster early warning system based on unmanned aerial vehicle relay WIFI or radio data transmission and early warning method thereofPendingCN104821067A (en)

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Cited By (11)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN107087146A (en)*2017-06-082017-08-22水利部交通运输部国家能源局南京水利科学研究院 A UAV automatic monitoring system and method for high slope in reservoir area
CN107508875A (en)*2017-08-152017-12-22北京佰才邦技术有限公司A kind of data transmission method, system, unmanned plane and device
CN107665570A (en)*2017-11-202018-02-06水禾测绘信息技术有限公司A kind of expressway disasters monitoring and warning system
CN108122377A (en)*2017-12-292018-06-05广西三维遥感信息工程技术有限公司Landslide early warning system based on GIS
CN108154650A (en)*2017-12-292018-06-12广西三维遥感信息工程技术有限公司The monitoring system of landslide
CN109631856A (en)*2018-12-122019-04-16中国水利水电科学研究院A kind of Hydrological observation system based on aviation aircraft
CN110082498A (en)*2019-04-082019-08-02三峡大学A kind of landslide monitoring data unmanned plane acquisition system based on wireless sensor Internet of Things
CN110491096A (en)*2019-08-292019-11-22国家电网公司西南分部The monitoring of transmission tower and method for early warning under a kind of rainfall induced landslide disaster
CN111999189A (en)*2020-08-242020-11-27磐安斯元智能装备科技有限公司Unmanned aerial vehicle capable of detecting whether landslide risk exists in mountain
CN112071027A (en)*2020-08-172020-12-11西安电子科技大学Ultra-wideband ranging landslide prediction method, system, device and application
CN113835116A (en)*2020-06-242021-12-24河南铭视科技股份有限公司Disaster situation position determining system

Citations (5)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US5734335A (en)*1989-12-201998-03-31Finmeccanica S.P.A.Forest surveillance and monitoring system for the early detection and reporting of forest fires
CN101820305A (en)*2010-04-212010-09-01西安上尚机电有限公司Airborne communication relay and reconnaissance system
CN102231753A (en)*2011-06-142011-11-02四川大学System for monitoring dangerous rock and landslide disasters along railway based on wireless sensor network
CN202694521U (en)*2012-07-202013-01-23深圳市气象服务有限公司Automatic monitoring system for sudden mountain disaster based on displacement sensor technology
CN204632065U (en)*2015-05-192015-09-09何小明Based on the disaster of mountain massif coast early warning system of the WIFI of unmanned vehicle relaying

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US5734335A (en)*1989-12-201998-03-31Finmeccanica S.P.A.Forest surveillance and monitoring system for the early detection and reporting of forest fires
CN101820305A (en)*2010-04-212010-09-01西安上尚机电有限公司Airborne communication relay and reconnaissance system
CN102231753A (en)*2011-06-142011-11-02四川大学System for monitoring dangerous rock and landslide disasters along railway based on wireless sensor network
CN202694521U (en)*2012-07-202013-01-23深圳市气象服务有限公司Automatic monitoring system for sudden mountain disaster based on displacement sensor technology
CN204632065U (en)*2015-05-192015-09-09何小明Based on the disaster of mountain massif coast early warning system of the WIFI of unmanned vehicle relaying

Cited By (13)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN107087146A (en)*2017-06-082017-08-22水利部交通运输部国家能源局南京水利科学研究院 A UAV automatic monitoring system and method for high slope in reservoir area
CN107508875A (en)*2017-08-152017-12-22北京佰才邦技术有限公司A kind of data transmission method, system, unmanned plane and device
CN107665570A (en)*2017-11-202018-02-06水禾测绘信息技术有限公司A kind of expressway disasters monitoring and warning system
CN108122377A (en)*2017-12-292018-06-05广西三维遥感信息工程技术有限公司Landslide early warning system based on GIS
CN108154650A (en)*2017-12-292018-06-12广西三维遥感信息工程技术有限公司The monitoring system of landslide
CN109631856A (en)*2018-12-122019-04-16中国水利水电科学研究院A kind of Hydrological observation system based on aviation aircraft
CN110082498A (en)*2019-04-082019-08-02三峡大学A kind of landslide monitoring data unmanned plane acquisition system based on wireless sensor Internet of Things
CN110491096A (en)*2019-08-292019-11-22国家电网公司西南分部The monitoring of transmission tower and method for early warning under a kind of rainfall induced landslide disaster
CN113835116A (en)*2020-06-242021-12-24河南铭视科技股份有限公司Disaster situation position determining system
CN113835116B (en)*2020-06-242024-05-17河南铭视科技股份有限公司Disaster situation position determining system
CN112071027A (en)*2020-08-172020-12-11西安电子科技大学Ultra-wideband ranging landslide prediction method, system, device and application
CN111999189A (en)*2020-08-242020-11-27磐安斯元智能装备科技有限公司Unmanned aerial vehicle capable of detecting whether landslide risk exists in mountain
CN111999189B (en)*2020-08-242021-05-28深圳市地籍测绘大队Unmanned aerial vehicle capable of detecting whether landslide risk exists in mountain

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