CN102760343A - Side slope geologic hazard pre-warning method and device based on wireless sensor network - Google Patents
Side slope geologic hazard pre-warning method and device based on wireless sensor network Download PDFInfo
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- CN102760343A CN102760343A CN2012102634163A CN201210263416A CN102760343A CN 102760343 A CN102760343 A CN 102760343A CN 2012102634163 A CN2012102634163 A CN 2012102634163A CN 201210263416 A CN201210263416 A CN 201210263416A CN 102760343 A CN102760343 A CN 102760343A
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Abstract
The invention discloses a side slope geologic hazard pre-warning method and device based on a wireless sensor network. The wireless sensor network is buried inside a side slope body; a wireless sensor network cluster head is used for acquiring a sound transmission signal at the initial catastrophe stage of a side slope, and transmitting the signal to a data transmitter arranged at a safety position in a wireless way through a multi-hop path; the data transmitter is used for transmitting assembled information to an indoor receiving and analyzing system in a customized data format through a backbone network, and transmitting a received signal to a computer of the receiving and analyzing system; the computer is used for analyzing and processing the received signal, and taking a pre-warning measure of a corresponding level according to a processing result; and the pre-warning information is transmitted to a pre-warning display screen at a section where a disaster occurs through a communication cable to prompt passing vehicles, pedestrians or residential areas and the like of taking corresponding disaster reduction and prevention measures.
Description
Technical field
The present invention relates to the Geotechnical Engineering field, especially based on the side slope geologic hazard method for early warning and the device of wireless sensor network.
Background technology
China is in the economic construction high-speed developing period at present, along with a series of Important Project highly visible, or soon implements like " transferring electricity from the west to the east ", " south water to north ", " oil and gas pipes " and the construction of road and rail net etc.Undoubtedly, the further exploitation in this area will bring hillside fields, more extensive, wider limit (cunning) matter disaster and relevant environmental problem to demand urgently researching and solving.As: on May 11st, 2003, bridge pier is damaged on flat small stream grand bridge excavation spoir landslide, Sansui County, Guizhou Province, buries 16 worker-houses, causes 35 people dead; Lanzhou, Gansu Province on the 7th Dec in 2003 is rushed down highway K58+820 place left side side slope and is come down to facing, and causes 7 people death, the major accident that 1 people is injured; On May 10th, 2007, because of the influence of Qingjian River Shui Buya reservoir filling, landslide disaster takes place in Mu Zhuping village, Qing Taiping town, Badong County, Hubei Province, about 600 ten thousand steres of landslide volume, 246 families, 658 people's emergency escapes; On June 28th, 2010, the landslide takes place in Guizhou Guan Lingxian, causes 38 families, 99 people to be buried death altogether.
From on know that hillside fields, limit (cunning) matter disaster has brought tremendous loss for the development of the national economy and people's lives and properties.According to adding up in recent years, the loss that the geologic hazard that forms because of the side slope unstability causes reaches 30,000,000,000 yuan every year unexpectedly.Bring loss for the generation of effectively avoiding this type of serious limit (cunning) geologic hazard accident with to people's lives and properties, must monitor in real time and early warning slope deformation and stability.
Summary of the invention
The objective of the invention is: a kind of side slope geologic hazard method for early warning and device based on wireless sensor network is provided; It carries out intelligent early-warning to the side slope disaster in real time; Effectively avoid the personnel that the side slope geologic hazard possibly bring and the loss of property, to overcome the deficiency of prior art.
The present invention is achieved in that the side slope geologic hazard method for early warning based on wireless sensor network; Bury wireless sensor network underground in side slope body inside; Utilize the wireless sensor network cluster head to gather the acoustic emission signal of side slope catastrophe initial stage, wireless sensor network transfers to signal the data source that is installed in home through the multi-hop road with wireless mode; Data source sends the information that converges to indoor receiving and analyzing system with the characteristic spectra that finally obtains through backbone network; And will receive the computing machine that signal passes to the receiving and analyzing system; Computing machine carries out analyzing and processing to the signal that receives; Make the early warning measure of appropriate level according to process result, early warning information flows to the early warning display screen that the disaster location takes place through telecommunication cable, and then reminds vehicular traffic, pedestrian or residential block etc. to take corresponding disaster reduction and prevention measure.
Described characteristic spectra is the frequency after process wireless senser networking bunch head carries out signal reconstruction.
Side slope geologic hazard prior-warning device based on wireless sensor network comprises wireless sensor network, and wireless sensor network is connected with data source; Data source is connected with backbone network, and backbone network is connected with the receiving and analyzing system, in the receiving and analyzing system, is connected with the early warning display screen.
Data sink comprises telegon and GPRS gateway.
Backbone network is GSM, Intemet or satellite network etc.
The receiving and analyzing system is the data handling machine that is connected with data sink.
The leader cluster node of wireless sensor network forms network with the self-organization of wireless Ad Hoc mode.
Be wireless connections between wireless sensor network and data source, data source and backbone network and backbone network and the indoor receiving and analyzing system.Effective like this data transfer equipment of avoiding is by artificial destruction or environmental corrosion, effective transmission of the data after also guaranteeing in the disaster generating process to take place with disaster.
Bunch head that links to each other with leader cluster node is more than 5.This is based on acoustic emission source difference positioning algorithm is confirmed when three-dimensional, when a bunch number more than or equal to 5 the time, can reduce mushing error, the acoustic emission source coordinate that calculates is also just more accurate.
Wireless sensor network is based on that small echo analyzes, and can be used for extracting the acoustic emission signal of arbitrary frequency, and the signal that obtains is before reaching leader cluster node; Signal has passed through corresponding Filtering Processing, and obtains characteristic spectra through wavelet transformation, and bunch characteristic spectra that first all leader cluster nodes obtain is gathered together; Carry out signal reconstruction; Obtain final characteristic spectra, secondary has been rejected the frequency range that contains noise, makes the acoustic emission catastrophe signal of acquisition more reliable.
Owing to adopted technique scheme, compared with prior art, the present invention transfers to signal the data source that be installed in home through the multi-hop road with wireless mode through the acoustic emission signal of the early stage catastrophe of wireless sensor network collection side slope; Data source sends the information via backbone network that converges to indoor receiving and analyzing system; And will receive the computing machine that signal passes to the receiving and analyzing system; Computing machine carries out analyzing and processing to the signal that receives; Make the early warning measure of appropriate level according to process result; Early warning information flows to the early warning display screen that the disaster location takes place through telecommunication cable, and then reminds vehicular traffic, pedestrian or residential block etc. to take corresponding disaster reduction and prevention measure, thereby reaches the purpose of side slope disaster intelligent early-warning; Emergency processing when taking place for the side slope geologic hazard provides valuable time, thereby effectively evades the personnel that the side slope geologic hazard possibly bring and the heavy losses of property.Method of the present invention is simple, implements easily, and the apparatus structure that is adopted is simple, and is easy to make, and has the function of secondary noise reduction, with low cost, and result of use is good.
Description of drawings
Accompanying drawing 1 is a structural representation of the present invention;
Accompanying drawing 2 is that wireless sensor network is to the acoustic emission signal identifying;
Accompanying drawing 3 is the structural representation of wireless sensor network.
Embodiment
Embodiments of the invention: based on the side slope geologic hazard method for early warning of wireless sensor network; Bury wireless sensor network underground in side slope body inside; Utilize the wireless sensor network cluster head to gather the acoustic emission signal of side slope catastrophe initial stage, wireless sensor network transfers to signal the data source that is installed in home through the multi-hop road with wireless mode; Data source sends the information that converges to indoor receiving and analyzing system with the characteristic spectra that finally obtains through backbone network, and described characteristic spectra is for carrying out the frequency behind the signal reconstruction through wireless senser networking bunch head; And will receive the computing machine that signal passes to the receiving and analyzing system; Computing machine carries out analyzing and processing to the signal that receives; Make the early warning measure of appropriate level according to process result; Early warning information flows to the early warning display screen that the disaster location takes place through telecommunication cable, and then reminds vehicular traffic, pedestrian or residential block etc. to take corresponding disaster reduction and prevention measure.
Structure based on the side slope geologic hazard prior-warning device of wireless sensor network is as shown in Figure 1; Produce 5 wireless sensor networks 1 that are connected with leader cluster node 12, the leader cluster node 12 of wireless sensor network 1 forms network with the self-organization of wireless Ad Hoc mode; Wireless sensor network 1 is connected with data source 2; Data source 2 is connected with backbone network 3, and backbone network 3 is connected with receiving and analyzing system 4, in receiving and analyzing system 4, is connected with early warning display screen 5; Data sink 2 comprises telegon and GPRS gateway; Backbone network 3 can adopt GSM, Intemet or satellite network etc.; Receiving and analyzing system 4 is for being connected with the data handling machine of data sink; Be wireless connections between wireless sensor network 1 and data source 2, data source 2 and backbone network 3 and backbone network 3 and the indoor receiving and analyzing system 4.
Wireless sensor network is as shown in Figure 2 to the acoustic emission signal identifying; Catastrophe signal 6 with the acoustic emission initial stage carries out processing and amplifying 7 earlier; After filtering 8 is accomplished, and then signal carried out frequency band division 9, the acoustic emission catastrophe signal of gained comprises low-frequency information A and high-frequency information D; Through wavelet transformation 10, signal is broken down in a plurality of frequency bands then; At last through the local identification 11 of the neural network of acoustic emission source; Get final product the recognition result of acoustic emission source data of a leader cluster node 12; Bunch 1 is gathered together the characteristic spectra of the identification of all leader cluster nodes 12; Carry out signal reconstruction, remove other noise frequency ranges, obtained final characteristic spectra.
In use, elder generation is inner to be embedded in the sliding mass that has potential destruction with wireless sensor network 1, and installs early warning display screen 5 in the sliding mass location that has potential destruction; Side slope is as a natural organism, and all can there be the potential failure stage of thin sight in rock soil mass before geologic hazard takes place, and is accompanied by corresponding acoustic emission phenomenon generation.Be arranged on the inner wireless sensor network cluster head 1 of side slope body and will gather the acoustic emission signal of side slope catastrophe initial stage; Send to the data source 2 that is installed in home with Wireless transmission mode; Data source 2 is transferred to indoor receiving and analyzing system 4 with signal through backbone network 3; The computing machine of indoor receiving and analyzing system 4 is with the particular location based on the three-dimensional time difference positioning method localization of sound source of acoustic emission source; The acoustic emission value that calculating is relatively taken place and the correlationship of threshold value; And make the early warning measure of appropriate level, early warning information flows to the early warning display screen 5 that the disaster location takes place through telecommunication cable again, and then reminds vehicular traffic, pedestrian or residential block etc. to take corresponding disaster reduction and prevention measure.Thereby reach the purpose of side slope disaster intelligent early-warning, effectively avoid the personnel that the side slope geologic hazard possibly bring and the loss of property.
Claims (9)
1. side slope geology calamity method for early warning based on wireless sensor network; It is characterized in that: bury wireless sensor network underground in side slope body inside; Utilize the wireless sensor network cluster head to gather the acoustic emission signal of side slope catastrophe initial stage, wireless sensor network transfers to signal the data source that is installed in home through the multi-hop road with wireless mode; Data source sends the information that converges to indoor receiving and analyzing system with the characteristic spectra that finally obtains through backbone network; And will receive the computing machine that signal passes to the receiving and analyzing system; Computing machine carries out analyzing and processing to the signal that receives; Make the early warning measure of appropriate level according to process result, early warning information flows to the early warning display screen that the disaster location takes place through telecommunication cable, and then reminds vehicular traffic, pedestrian or residential block etc. to take corresponding disaster reduction and prevention measure.
2. the side slope geologic hazard method for early warning based on wireless sensor network according to claim 1 is characterized in that: described characteristic spectra is the frequency after process wireless senser networking bunch head carries out signal reconstruction.
3. the side slope geologic hazard prior-warning device based on wireless sensor network comprises wireless sensor network (1), it is characterized in that: wireless sensor network (1) is connected with data source (2); Data source (2) is connected with backbone network (3), and backbone network (3) is connected with receiving and analyzing system (4), in receiving and analyzing system (4), is connected with early warning display screen (5).
4. the side slope geologic hazard prior-warning device based on wireless sensor network according to claim 3, it is characterized in that: data sink (2) comprises telegon and GPRS gateway.
5. the side slope geologic hazard prior-warning device based on wireless sensor network according to claim 3 is characterized in that: backbone network (3) is GSM, Intemet or satellite network etc.
6. the side slope geologic hazard prior-warning device based on wireless sensor network according to claim 3 is characterized in that: receiving and analyzing system (4) is for being connected with the data handling machine of data sink.
7. the side slope geologic hazard prior-warning device based on wireless sensor network according to claim 3 is characterized in that: the leader cluster node of wireless sensor network (1) forms network with the self-organization of wireless Ad Hoc mode.
8. the side slope geologic hazard prior-warning device based on wireless sensor network according to claim 3 is characterized in that: be wireless connections between wireless sensor network (1) and data source (2), data source (2) and backbone network (3) and backbone network (3) and the indoor receiving and analyzing system (4).
9. according to claim 3 or 7 described side slope geologic hazard prior-warning devices based on wireless sensor network, it is characterized in that: bunch head that links to each other with leader cluster node is more than 5.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107144255A (en) * | 2017-04-13 | 2017-09-08 | 中国地质大学（武汉） | A kind of method of side slope automation real-time volume monitoring and early warning |
| CN108986414A (en) * | 2018-09-04 | 2018-12-11 | 广州巨枫科技有限公司 | Slope geological intelligent monitoring prior-warning device |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101042311A (en) * | 2007-03-13 | 2007-09-26 | 西安交通大学 | Detection method and apparatus for barrel type steel ball grinder load based on multiple sensor fusion |
| CN101363824A (en) * | 2008-05-12 | 2009-02-11 | 西安西科测控设备有限责任公司 | Device for real time monitoring mine roof rock formation or concrete structure stability |
| KR20090021239A (en) * | 2007-08-25 | 2009-03-02 | 주식회사 잉스텔 | All having had a method of the structure that used tetra modem, and transmitted disaster occurrence detection data and amr data to a remote place |
| CN102354434A (en) * | 2011-11-01 | 2012-02-15 | 贵州大学 | Wireless intelligent monitoring and early-warning method and device for slope geological hazard based on acoustic emission |
| CN202916963U (en) * | 2012-07-27 | 2013-05-01 | 贵州大学 | Intelligent slope geological disaster monitoring and pre-warning device based on wireless sensor networks |
-
2012
- 2012-07-27 CN CN2012102634163A patent/CN102760343A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101042311A (en) * | 2007-03-13 | 2007-09-26 | 西安交通大学 | Detection method and apparatus for barrel type steel ball grinder load based on multiple sensor fusion |
| KR20090021239A (en) * | 2007-08-25 | 2009-03-02 | 주식회사 잉스텔 | All having had a method of the structure that used tetra modem, and transmitted disaster occurrence detection data and amr data to a remote place |
| CN101363824A (en) * | 2008-05-12 | 2009-02-11 | 西安西科测控设备有限责任公司 | Device for real time monitoring mine roof rock formation or concrete structure stability |
| CN102354434A (en) * | 2011-11-01 | 2012-02-15 | 贵州大学 | Wireless intelligent monitoring and early-warning method and device for slope geological hazard based on acoustic emission |
| CN202916963U (en) * | 2012-07-27 | 2013-05-01 | 贵州大学 | Intelligent slope geological disaster monitoring and pre-warning device based on wireless sensor networks |
Non-Patent Citations (1)
| Title |
|---|
| 夏开宗等: "声发射的边坡灾害无线智能监控预警系统", 《中华建设》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107144255A (en) * | 2017-04-13 | 2017-09-08 | 中国地质大学（武汉） | A kind of method of side slope automation real-time volume monitoring and early warning |
| CN108986414A (en) * | 2018-09-04 | 2018-12-11 | 广州巨枫科技有限公司 | Slope geological intelligent monitoring prior-warning device |
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