CN203882417U - Alarm system for landslide and debris flow based on IOT (Internet of Things) - Google Patents
Alarm system for landslide and debris flow based on IOT (Internet of Things) Download PDFInfo
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- CN203882417U CN203882417U CN201320747340.1U CN201320747340U CN203882417U CN 203882417 U CN203882417 U CN 203882417U CN 201320747340 U CN201320747340 U CN 201320747340U CN 203882417 U CN203882417 U CN 203882417U
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Abstract
The utility model relates to the alarm technology for landslide and debris flow. The utility model discloses an alarm system for landslide and debris flow based on IOT (Internet of Things), and the system employs a vehicle as a data collection platform, and employs an IOT server to collect and process the data of landslide and debris flow, and to send out alarm information in real time. The technical scheme of the utility model is that the system comprises a detection device, a data transmission device, a data processing platform, and an alarm device; the detection unit collects the information of the landslide and debris flow, and the information is transmitted to the data processing platform for processing through the data transmission device; the data processing platform transmits an alarm signal to the alarm device; the system is characterized in that the detection device is disposed on the vehicle; the data transmission device is an IOT communication terminal; and the data processing platform is an IOT server. The system can reduce the cost of construction, operation and maintenance.
Description
Technical field
The utility model relates to landslide and rubble flow alarm technique, particularly a kind of landslide and rubble flow warning system based on Internet of Things.
Background technology
Rubble flow is the common disaster that occurs in mountain area, has a large amount of mud-stone flow disaster events to occur every year all over the world.China is one of the most serious country of mud-stone flow disaster in the world, in recent decades, the direct economic loss causing every year on average reaches more than 10 hundred million yuan, and, along with the continuous enhancing of human social economy's activity, people excessively ask for and lasting destruction to environment natural resources, make the disasteies such as rubble flow more serious.Particularly, along with the construction of various freeway nets, occur in landslide and the mud-stone flow disaster of highway both sides, usually cause the tragedy of car crash.For people life property safety is protected, set up a set of perfect, rubble flow warning system is imperative timely.As everyone knows, debris flow occurrence suddenly, break with tremendous force, rapidly, if sent alerting signal before breaking out, will greatly reduce personnel's injures and deaths and the loss of property.Set up a sound landslide and rubble flow monitoring and forecasting system quite complicated, consuming time, require great effort, invest huge.The monitoring and prediction of landslide and rubble flow, need to obtain large-scale Monitoring Data, gathers a large amount of information, wherein important, is also that topmost Monitoring Data is exactly the infrasonic wave signal that landslide produces while moving.Prior art gathers infrasonic wave data by sensor.Although outside the information that the data landslide that sensor gathers and rubble flow produce; conventionally various other various information have also been comprised; as the information of the generations such as natural current waterfall, storm thunder and lightning and mankind's activity; but these complicated information have different time domains, frequency domain character from infrasonic wave data; people can be by various analytical algorithms; as empirical algorithms, neural network algorithm, Algorithms of Wavelet Analysis etc.; the useful infrasonic wave data of extracting data that gather from sensor, and send alerting signal according to the processing to these data.Particularly widely distributed large quantity sensor collection point, can further improve the precision of data acquisition and processing (DAP), is conducive to improve accuracy and the promptness of monitoring and prediction.This just need to set up a large amount of data collection points, and each data collection point generally includes infrasonic sensor, data recording equipment and/or data transmission system and necessary electric supply installation.Due to collection point enormous amount, distribution range is extensive, and many in uncultivated remote, thickly forested mountains, and its construction, operation, maintenance all need a large amount of human resources and economic input.And prior art detection forecast system, single to the published method of warning message, the public mainly relies on radio station, TV station etc. to obtain alerting signal, and the actual arrival rate of its warning message is had a greatly reduced quality, and does not reach the object of timely early warning.
On the other hand, along with the development of economic technology, technology of Internet of things application is universal rapidly, and various vehicles not only have perfect position location functionality and Che Nei data acquisition transmittability, and can carry out data transmission and communicate by letter by accessing Internet, become the ingredient of Internet of Things---terminal.
Utility model content
Technical problem to be solved in the utility model, just be to provide a kind of landslide and rubble flow warning system based on Internet of Things, utilize vehicle as data acquisition platform, utilize Internet of Things server collect, process landslide and rubble flow data and send warning message in good time.
The utility model solve the technical problem, the technical scheme adopting is, landslide based on Internet of Things and rubble flow warning system, comprise sniffer, data transmission device, data processing platform (DPP) and warning device, described sniffer gathers landslide and debris flow information, and be transferred to data processing platform (DPP) by described data transmission device and carry out data processing, described data processing platform (DPP) is transmitted alerting signal to warning device, it is characterized in that, described sniffer is arranged on vehicle, described data transmission device is Internet of Things communication terminal, described data processing platform (DPP) is Internet of Things server.
Further, described sniffer also comprises the sniffer being arranged on roadside hillside.
Concrete, described landslide and debris flow information comprise infrasonic wave data and sniffer position data.
Concrete, described sniffer comprises infrasonic sensor and GPS device.
Further, described warning device sends alerting signal by radio broadcasting, television broadcasting, mobile communications network.
The beneficial effects of the utility model are, utilize this platform of vehicle to carry out data acquisition and transmission, can make full use of electric power system and the data transmission system of vehicle itself, the extensive advantage of performance vehicle distribution range, the quantity and the distribution range that further increase data collection point, reduce system Construction, operation and maintenance cost.Utilize Internet of Things server as the information processing platform, can give full play to the powerful data processing advantage of Internet of Things server, the bulk information that receives each collection point transmission is processed.
Brief description of the drawings
Fig. 1 is the structural representation of embodiment.
Embodiment
Below in conjunction with drawings and Examples, describe the technical solution of the utility model in detail.
Along with the development of economic technology, Vehicle's quantity is more and more higher, and vehicle configuration is more and more advanced.GPS(GPS), data transmission network etc. in various communication system, onboard sensor system and various types of car, not only configuration is general, and advanced technology.Utilize widely distributed vehicle as carrier, sniffer is installed on vehicle and is gathered landslide and debris flow information, can make full use of the electric supply installation that vehicle itself has, and the data transmission system communication system of unifying of configuration, form widely distributed Data Gathering point, can complete large-scale data acquisition with lower cost, for landslide and rubble flow monitoring and prediction provide a large amount of basic datas.Infrasonic sensor in vehicle-mounted sniffer, the infrasonic wave data that gather are important parameters of landslide and rubble flow monitoring and prediction, if again be fixed on the collection point networking configuring on roadside hillside, Data Collection scope can further expand, the data volume gathering can be larger, and landslide and rubble flow monitoring and prediction also can be more accurately with in time.
Embodiment
The landslide of this example based on Internet of Things and rubble flow warning system structure as shown in Figure 1, comprise sniffer, the Internet of Things communication terminal as data transmission device, the Internet of Things server as data processing platform (DPP), warning device on sniffer and the roadside hillside being arranged on each vehicle.This routine sniffer comprises infrasonic sensor and GPS device, for gathering the infrasonic wave data of landslide generation and the position data of sniffer.For the sniffer being arranged on vehicle, its position data is exactly the vehicle location coordinate that vehicle-mounted GPS apparatus gathers.For the sniffer being arranged on roadside hillside, its position data is stored in Internet of Things server, normally when configuration is installed, by the position coordinates measuring.The data message that these sniffers gather, is transferred to Internet of Things communication terminal through transmission network, then by Internet of Things communication terminal, data information transfer is carried out to data processing to Internet of Things server.Internet of Things server judges whether to send alerting signal according to data processed result.In the time having landslide and rubble flow to occur, Internet of Things server transmits alerting signal to warning device, the information such as position that report landslide and rubble flow occur, time, the section that may affect.This routine warning device sends alerting signal by radio broadcasting, television broadcasting, mobile communications network.The alerting signal of sending by mobile communications network, can adopt the mobile phone A PP terminals such as micro-letter, microblogging, note directly to arrive each cellphone subscriber, has greatly improved the promptness of warning message.
Claims (5)
1. the landslide based on Internet of Things and rubble flow warning system, comprise sniffer, data transmission device, data processing platform (DPP) and warning device, described sniffer gathers landslide and debris flow information, and be transferred to data processing platform (DPP) by described data transmission device and carry out data processing, described data processing platform (DPP) is transmitted alerting signal to warning device, it is characterized in that, described sniffer is arranged on vehicle, described data transmission device is Internet of Things communication terminal, and described data processing platform (DPP) is Internet of Things server.
2. landslide and the rubble flow warning system based on Internet of Things according to claim 1, is characterized in that, described sniffer also comprises the sniffer being arranged on roadside hillside.
3. landslide and the rubble flow warning system based on Internet of Things according to claim 1, is characterized in that, described landslide and debris flow information comprise infrasonic wave data and sniffer position data.
4. landslide and the rubble flow warning system based on Internet of Things according to claim 3, is characterized in that, described seismic survey device comprises infrasonic sensor and GPS device.
5. landslide and the rubble flow warning system based on Internet of Things according to claim 1, is characterized in that, described warning device sends alerting signal by radio broadcasting, television broadcasting, mobile communications network.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
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CN201320747340.1U CN203882417U (en) | 2013-11-22 | 2013-11-22 | Alarm system for landslide and debris flow based on IOT (Internet of Things) |
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CN201320747340.1U CN203882417U (en) | 2013-11-22 | 2013-11-22 | Alarm system for landslide and debris flow based on IOT (Internet of Things) |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103578231A (en) * | 2013-11-22 | 2014-02-12 | 江兴明 | Landslide and debris flow alarm system based on Internet of Things |
CN108333598A (en) * | 2017-12-31 | 2018-07-27 | 广州中海达定位技术有限公司 | A kind of geological disaster monitoring system and method |
CN110824560A (en) * | 2019-11-11 | 2020-02-21 | 宜宾凯翼汽车有限公司 | Earthquake monitoring system and method based on Internet of vehicles |
-
2013
- 2013-11-22 CN CN201320747340.1U patent/CN203882417U/en not_active Expired - Fee Related
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103578231A (en) * | 2013-11-22 | 2014-02-12 | 江兴明 | Landslide and debris flow alarm system based on Internet of Things |
CN103578231B (en) * | 2013-11-22 | 2016-05-04 | 江兴明 | Landslide based on Internet of Things and mud-rock flow warning system |
CN108333598A (en) * | 2017-12-31 | 2018-07-27 | 广州中海达定位技术有限公司 | A kind of geological disaster monitoring system and method |
CN110824560A (en) * | 2019-11-11 | 2020-02-21 | 宜宾凯翼汽车有限公司 | Earthquake monitoring system and method based on Internet of vehicles |
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C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20141015 Termination date: 20171122 |