CN207439341U - A kind of real-time landslide monitoring source of early warning based on FPGA+ARM - Google Patents
A kind of real-time landslide monitoring source of early warning based on FPGA+ARM Download PDFInfo
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- CN207439341U CN207439341U CN201721618666.9U CN201721618666U CN207439341U CN 207439341 U CN207439341 U CN 207439341U CN 201721618666 U CN201721618666 U CN 201721618666U CN 207439341 U CN207439341 U CN 207439341U
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Abstract
The utility model discloses a kind of real-time landslide monitoring sources of early warning based on FPGA+ARM, including land slide data collecting part, landslide early warning control section and power unit, power unit is respectively land slide data collecting part, the power supply of landslide early warning control section, and land slide data collecting part is with landslide early warning control section by wirelessly communicating；Landslide early warning control section is also connected with server, and monitoring and warning information is sent to server；Method for early warning is based on the source of early warning and carries out early warning, and the device structure is simple, can monitor landslide situation in real time, and environmental suitability is strong；The monitoring method is simple, and monitoring effect is good.
Description
Technical field
The utility model is related to landslide monitoring early warning technology fields, are specifically a kind of real-time landslide prison based on FPGA+ARM
Survey source of early warning.
Background technology
Landslide refers to the sliding phenomenon of soil block or rock under the influence of natural environment or human factor on massif slope.
It under gravity, along the shearing slip failure mechanics or band of perforation, it is also possible to be in rock mass it is existing weakness structure
Face, dispersedly entirety or slide downward.Traditional landslide monitoring method have displacement monitoring, physical field monitoring, groundwater monitoring and
Ambient induced factor monitors.Monitoring wherein outside displacement is all the assurance to slip mass geographical environment and variation on the whole,
The observation cycle of these monitorings is long and process of analyzing and researching is complicated, can not be that research and monitoring obtain the firsthand data.Institute
It is the major way of landslide monitoring now with displacement monitoring.But the monitoring range of displacement monitoring mode is narrow, can only set node
Several regions monitored, entire monitoring massif can not be covered, and coming down has ambiguity and mutability, does not monitor timely
Early warning is likely to result in serious consequence.Emphasis strengthens the monitoring and improvement of landslide disaster, finds and adopts within the most fast time
Effectively preventing measure is taken, oneself utmostly reduces the key factor of loss through becoming in the Landslide Protection disaster relief.
Utility model content
The purpose of the utility model is to overcome the deficiencies in the prior art, and provide a kind of real-time cunning based on FPGA+ARM
Slope monitoring and warning equipment, the device structure is simple, can monitor landslide situation in real time, and environmental suitability is strong, and method is simple, monitoring
Effect is good.
Realizing the technical solution of the utility model aim is：
A kind of real-time landslide monitoring source of early warning based on FPGA+ARM, including land slide data collecting part, landslide early warning
Control section and power unit, power unit are respectively land slide data collecting part, the power supply of landslide early warning control section, and come down number
According to collecting part with landslide early warning control section by wirelessly communicating；Landslide early warning control section is also connected with server,
Monitoring and warning information is sent to server；
The land slide data collecting part, including FPGA acquisition modules, the first ARM master controllers, displacement monitoring module,
AD conversion module, Signal-regulated kinase, microseismic sensors and wireless network communication module；Microseismic sensors, Signal-regulated kinase
It is sequentially connected with AD conversion module；FPGA acquisition modules respectively with displacement monitoring module, AD conversion module and the first ARM main controls
Device connects；First ARM master controllers are also connected with wireless network communication module；Wireless network communication module and landslide early warning control
Part connects；
The landslide early warning control section, including the 2nd ARM master controllers, SD card memory module and GSM/3G/4G nets
Network module, the 2nd ARM master controllers are connected respectively with SD card memory module and GSM/3G/4G network modules, the 2nd ARM main controls
Wireless network communication module of the device also with land slide data collecting part is connected.
The displacement monitoring module is the displacement monitoring module based on GPS receiver, and equipped with antenna house, protection GPS connects
Receipts machine is not by destructions such as storm, ice and snow, sand and dust and solar radiations.
The FPGA acquisition modules, are internally provided with FIFO memory.
The power unit, use is solar powered, and including solar panel and accumulator, solar panel is with storing
Battery connects, and accumulator is respectively land slide data collecting part, the power supply of landslide early warning control section.
The Signal-regulated kinase, including sequentially connected signal amplification circuit and signal filter circuit.
The signal amplification circuit, including first resistor, second resistance, 3rd resistor, the 4th resistance, the 5th resistance,
6th resistance, the 7th resistance, the first operational amplifier, second operational amplifier and the 3rd operational amplifier；First operation amplifier
Device positive input terminal and the signal output part of microseismic sensors connect, negative input end respectively with one end of first resistor, second resistance
One end connection, the one end of signal output part respectively with the other end of second resistance, the 4th resistance is connected；Second operational amplifier
Positive input terminal and microseismic sensors signal output part connect, negative input end respectively with the other end of first resistor, the 3rd electricity
One end connection of resistance, the one end of signal output part respectively with the other end of 3rd resistor, the 5th resistance is connected；3rd operation amplifier
The one end of the positive input terminal of device respectively with the other end of the 5th resistance, the 7th resistance is connected, negative input end respectively with the 4th resistance
The other end, the 6th resistance other end connection, signal output part respectively with the other end of the 6th resistance, signal filter circuit
Signal input part connects；The other end ground connection of 7th resistance.
The signal conditioning circuit, including four-operational amplifier, the 8th resistance, the 9th resistance, the first capacitance and
Two capacitances；The signal output part of one end of 8th resistance and the 3rd operational amplifier of signal amplification circuit connects, the other end point
One end not with one end of the first capacitance, the 9th resistance is connected；The other end of first capacitance respectively with four-operational amplifier
Signal output part, negative input end connection；The other end of 9th resistance respectively with one end of the second capacitance, four-operational amplifier
Positive input terminal connects；The other end ground connection of second capacitance；The signal output part of four-operational amplifier and the letter of AD conversion module
The connection of number input terminal.
The AD conversion module is the modular converter based on ADS1282 chips.
A kind of method for early warning of the real-time landslide monitoring source of early warning based on FPGA+ARM, specifically comprises the following steps：
1) initial data of the GPS displacements of the antenna acquisition land slide data collecting part of GPS receiver, the position that will be collected
Data are moved to be delivered in the FIFO memory of FPGA acquisition modules；
2) microseismic sensors pickup microseism ripple, it is defeated after signal amplification circuit, signal filter circuit and AD conversion module
It send to FPGA acquisition modules, FPGA acquisition modules carry out UTC time extraction using Verilog hardware program languages, and parsing receives
To GPS data frame in temporal information, obtain timestamp, FPGA acquisition modules, which pass through spi bus and read AD conversion module, to be turned
Digital quantity after changing is inserted into timestamp after normalized, writes in the asynchronous FIFO memory of FPGA acquisition modules；
3) the first ARM master controllers reading of land slide data collecting part is buffered in the storage of FPGA acquisition modules asynchronous FIFO
After GPS displacement datas and microseismic signals data in device, landslide early warning control unit is sent data to by wireless network module
Point；
4) the 2nd ARM master controllers of landslide early warning control section are distributed in different monitorings by wireless network module reception
The data message that the land slide data acquisition module of point is sent；
5) coming down early warning control section will be in the displacement data of microseism data and each monitoring node write-in SD card memory module；
6) the 2nd ARM master controllers of landslide early warning control section are to history GPS displacement datas and real time GPS displacement data
Integrated treatment is carried out, monitoring point high accuracy three-dimensional coordinate trend data information on deformable body is obtained, by changes in coordinates number
According to quantitative analysis, automatization judgement is carried out to the health status of deformable body；
7) the 2nd ARM master controllers of landslide early warning control section are to history microseism data and the microseism data gathered in real time
Integrated treatment is carried out, by obtaining the amplitude data of microseism ripple X passage, Y passages and Z passages, with preset microseism early warning
Threshold value is compared, and realizes the judgement in advance to slopes deformed state；
8) when the result of GPS displacements and microseismic signals comprehensive descision reaches the warning level of setting, then trigger corresponding pre-
Warning information is sent to server and relevant person in charge mobile phone by alert mechanism by GSM/3G/4G modules, and with short message, extensively
The forms notice periphery user such as broadcast.
In step 2), UTC time extraction, is by UART receiving modules, UTC time parsing module, temporal information
Control module composition is inserted into, FPGA acquisition modules are received the message information of GPS receiver output by serial ports, connect using by bit
The mode of receipts when the data received reach 8bit, by the data conversion received into a byte data, and generates one
Pulse marking signal represents to have received a complete character, and then to go out UTC time according to NMEA-0183 protocol analysis obtain
To timestamp information, when 1PPS signals rising edge arrives, timestamp information is inserted into the data that AD conversion module sends
In and together write FIFO memory in.
Advantageous effect：A kind of real-time landslide monitoring source of early warning and early warning based on FPGA+ARM provided by the utility model
Method, the source of early warning increase micro seismic monitoring on the basis of single utilization GPS position measurement landslide displacement, realize inside side slope
With the dual fail-safe pattern of external monitoring simultaneously；The method for early warning is defeated by serial ports reception GPS receiver using FPGA acquisition modules
Timestamp information after parsing is inserted into the transformed data of AD conversion module and write-in FIFO is deposited together by the message information gone out
In reservoir, the amplitude of accurate recording microseismic signals and arrival time；The landslide monitoring source of early warning utilizes the nothing of ad hoc network function
Line network module, network environment is adaptable, ensures the transmitting of data；The landslide monitoring source of early warning utilizes 3G/4G nets
Network antennal interface, realizes Historical Monitoring data accumulation and the trend analysis of area to be monitored, and during data exception, system can trigger phase
Early warning mechanism is answered, notifies periphery user in the form of short message, network, broadcast etc. at the first time.
Description of the drawings
Fig. 1 is a kind of structure diagram of the real-time landslide monitoring source of early warning based on FPGA+ARM；
Fig. 2 is signal amplification circuit figure；
Fig. 3 is signal filter circuit figure；
Fig. 4 is the data flow diagram of GPS receiver output；
Fig. 5 is the functional block diagram of UTC time extraction；
Fig. 6 is the flow chart of UTC time extraction.
Specific embodiment
The utility model is further elaborated with reference to the accompanying drawings and examples, but is not the limit to the utility model
It is fixed.
Embodiment：
As shown in Figure 1, a kind of real-time landslide monitoring source of early warning based on FPGA+ARM, including land slide data acquisition portion
Divide, landslide early warning control section and power unit, power unit are respectively land slide data collecting part, landslide early warning control section
Power supply, land slide data collecting part is with landslide early warning control section by wirelessly communicating；Come down early warning control section also with
Server connects, and monitoring and warning information is sent to server；
The land slide data collecting part, including FPGA acquisition modules, the first ARM master controllers, displacement monitoring module,
AD conversion module, Signal-regulated kinase, microseismic sensors and wireless network communication module；Microseismic sensors, Signal-regulated kinase
It is sequentially connected with AD conversion module；FPGA acquisition modules respectively with displacement monitoring module, AD conversion module and the first ARM main controls
Device connects；First ARM master controllers are also connected with wireless network communication module；Wireless network communication module and landslide early warning control
Part connects；
The landslide early warning control section, including the 2nd ARM master controllers, SD card memory module and GSM/3G/4G nets
Network module, the 2nd ARM master controllers are connected respectively with SD card memory module and GSM/3G/4G network modules, the 2nd ARM main controls
Wireless network communication module of the device also with land slide data collecting part is connected.
The displacement monitoring module is the displacement monitoring module based on GPS receiver, and equipped with antenna house, protection GPS connects
Receipts machine is not by destructions such as storm, ice and snow, sand and dust and solar radiations.
The first ARM master controllers, are internally provided with FIFO memory.
The power unit, use is solar powered, and including solar panel and accumulator, solar panel is with storing
Battery connects, and accumulator is respectively land slide data collecting part, the power supply of landslide early warning control section.
The Signal-regulated kinase, including sequentially connected signal amplification circuit and signal filter circuit.
As shown in Fig. 2, the signal amplification circuit, including first resistor R1, second resistance R2,3rd resistor R3,
Four resistance R4, the 5th resistance R5, the 6th resistance R6, the 7th resistance R7, the first operational amplifier U1, second operational amplifier U2 and
3rd operational amplifier U3；First operational amplifier U1 positive input terminals and the signal output part of microseismic sensors connect, negative input
One end respectively with one end of first resistor R1, second resistance R2 is held to be connected, signal output part is another with second resistance R2 respectively
One end, one end connection of the 4th resistance R4；The positive input terminal of second operational amplifier U2 and the signal output part of microseismic sensors
Connection, the one end of negative input end respectively with the other end of first resistor R1,3rd resistor R3 is connected, and signal output part is respectively with the
One end connection of the other end, the 5th resistance R5 of three resistance R3；The positive input terminal of 3rd operational amplifier U3 is electric with the 5th respectively
Hinder one end connection of the other end of R5, the 7th resistance R7, negative input end respectively with the other end of the 4th resistance R4, the 6th resistance R6
Other end connection, signal input part of the signal output part respectively with the other end of the 6th resistance R6, signal filter circuit be connected；
The other end ground connection of 7th resistance R7；The positive-negative output end of microseismic sensors is connected on respectivelyWithOn, as R2=R3, R4=
When R5, R6=R7, disconnected, empty short according to void, amplifier input voltage is that the voltage difference at R1 both ends is, and R2, R3 connect with R1, institute
To flow through R2, the electric current of R3, R1 are equal, i.e.,Abbreviation obtainsThe second level is enlarged into typical difference channel, can obtain Vout3=(Vout1-
Vout2)*R6/R4, then the gain of amplifying circuit is G=G1*G2=(1+2R3/R1)*R6/R4, G1、G2The respectively first order, the second level
Gain.
As shown in figure 3, the signal conditioning circuit, including four-operational amplifier U4, the 8th resistance R8, the 9th resistance
R9, the first capacitance C1 and the second capacitance C2；One end of 8th resistance R8 and the 3rd operational amplifier U3's of signal amplification circuit
Signal output part connects, and the one end of the other end respectively with one end of the first capacitance C1, the 9th resistance R9 is connected；First capacitance C1's
The other end is connected respectively with the signal output part of four-operational amplifier U4, negative input end；The other end difference of 9th resistance R9
It is connected with one end of the second capacitance C2, the positive input terminal of four-operational amplifier U4；The other end ground connection of second capacitance C2；4th
The signal output part of operational amplifier U4 and the signal input part of AD conversion module connect；Signal passes through after amplifying circuit,
Vout3Input terminal of the signal as filter circuit, if C1=C2=C, R8=R9=R, then Q=1/ (3-Avf), fc=1/ (2 π RC),
Q is quality factor, and Avf is gain, fcFor bandwidth, it is filtered after signal VoutIt is sent into AD conversion module.
The AD conversion module is the modular converter based on ADS1282 chips.
A kind of method for early warning of the real-time landslide monitoring source of early warning based on FPGA+ARM, specifically comprises the following steps：
1) initial data of the GPS displacements of the antenna acquisition land slide data collecting part of GPS receiver, the position that will be collected
It moves data to be delivered in the FIFO memory of FPGA acquisition modules, the data flow of GPS receiver output is as shown in Figure 4；
2) microseismic sensors pickup microseism ripple, it is defeated after signal amplification circuit, signal filter circuit and AD conversion module
It send to FPGA acquisition modules, FPGA acquisition modules carry out UTC time extraction using Verilog hardware program languages, and parsing receives
To GPS data frame in temporal information, obtain timestamp, FPGA acquisition modules, which pass through spi bus and read AD conversion module, to be turned
Digital quantity after changing is inserted into timestamp after normalized, writes in the asynchronous FIFO memory of FPGA acquisition modules；
3) the first ARM master controllers reading of land slide data collecting part is buffered in the storage of FPGA acquisition modules asynchronous FIFO
After GPS displacement datas and microseismic signals data in device, landslide early warning control unit is sent data to by wireless network module
Point；
4) the 2nd ARM master controllers of landslide early warning control section are distributed in different monitorings by wireless network module reception
The data message that the land slide data acquisition module of point is sent；
5) coming down early warning control section will be in the displacement data of microseism data and each monitoring node write-in SD card memory module；
6) the 2nd ARM master controllers of landslide early warning control section are to history GPS displacement datas and real time GPS displacement data
Integrated treatment is carried out, monitoring point high accuracy three-dimensional coordinate trend data information on deformable body is obtained, by changes in coordinates number
According to quantitative analysis, automatization judgement is carried out to the health status of deformable body；
7) the 2nd ARM master controllers of landslide early warning control section are to history microseism data and the microseism data gathered in real time
Integrated treatment is carried out, by obtaining the amplitude data of microseism ripple X passage, Y passages and Z passages, with preset microseism early warning
Threshold value is compared, and realizes the judgement in advance to slopes deformed state；
8) when the result of GPS displacements and microseismic signals comprehensive descision reaches the warning level of setting, then trigger corresponding pre-
Warning information is sent to server and relevant person in charge mobile phone by alert mechanism by GSM/3G/4G modules, and with short message, extensively
The forms notice periphery user such as broadcast.
As shown in figure 5, in step 2), UTC time extraction is by UART receiving modules, UTC time parsing mould
Block, temporal information insertion control module composition, FPGA acquisition modules receive the message information of GPS receiver output by serial ports,
By the way of by bit reception, when the data received reach 8bit, by the data conversion received into a byte number
According to, and a pulse marking signal is generated to represent to have received a complete character, then according to NMEA-0183 agreement solutions
UTC time is precipitated and obtains timestamp information, when 1PPS signals rising edge arrives, timestamp information is inserted into AD conversion module
In the data sent and write together in FIFO memory.
As shown in fig. 6, being the flow chart of UTC time extraction, the imperatival basic formats of $ GPZDA are as follows：$ GPZDA,
(1), (2), (3), (4), (5), (6) * hh (CR) (LF)：
(1) it is the ASCII character string of UTC time：Hhmmss (Hour Minute Second)
(2) it is the ASCII character string of day
(3) it is the ASCII character string in month
(4) it is the ASCII character string in time
(5) it is ASCII character string (unused then be 00) when local zone is small
(6) be local zone minute ASCII character string (unused is then 00)
It, then must be first from string since UTC time parsing module needs to parse the data frame started with $ GPZDA
This six continuous characters of GPZDA are detected in row data flow, devise a time series detection state machine therefore,
The data Dat [7 of UART receiving modules output is read when the rising edge of RxD_ready signals arrives:0], S0 for reset state and
Default conditions jump to S1 states in next step when state machine detects character " "；If detect Dat [7 in S1 states:0]
=' G ' then jumps to S2 states, otherwise returns to S0 states；If detect Dat [7 in S2 states:0]=' P ' then jump in next step
To S3 states, S0 states are otherwise returned；If detect Dat [7 in S3 states:0] S4 states then=' Z ' are jumped in next step,
Otherwise S0 states are returned；If detect Dat [7 in S4 states:0] S5 states then=' D ' are jumped in next step, otherwise return to shape
State S0；If detect Dat [7 in S5 states:0] S6 states then=' A ' are jumped in next step, otherwise return to S0 states.Work as shape
When state machine is in S6 states, represent to have been completed the detection of data frame head GPZDA, in next step directly to the word behind frame head
Symbol, which is extracted and converted, can obtain temporal information, and state machine will be solved back to S0 states after a frame time information has been received
It analyses the UTC time extracted to be converted into Beijing time and preserve in memory, when detecting that pulse per second (PPS) rising edge arrives
Timestamp information is inserted into data and is write in FIFO memory.
Claims (8)
1. a kind of real-time landslide monitoring source of early warning based on FPGA+ARM, which is characterized in that including land slide data collecting part,
Come down early warning control section and power unit, and power unit is respectively land slide data collecting part, the confession of landslide early warning control section
Electricity, land slide data collecting part is with landslide early warning control section by wirelessly communicating；Come down early warning control section also with clothes
Business device connection, server is sent to by monitoring and warning information；
The land slide data collecting part turns including FPGA acquisition modules, the first ARM master controllers, displacement monitoring module, AD
Change the mold block, Signal-regulated kinase, microseismic sensors and wireless network communication module；Microseismic sensors, Signal-regulated kinase and AD
Modular converter is sequentially connected；FPGA acquisition modules connect respectively with displacement monitoring module, AD conversion module and the first ARM master controllers
It connects；First ARM master controllers are also connected with wireless network communication module；Wireless network communication module and landslide early warning control section
Connection；
The landslide early warning control section, including the 2nd ARM master controllers, SD card memory module and GSM/3G/4G network moulds
Block, the 2nd ARM master controllers are connected respectively with SD card memory module and GSM/3G/4G network modules, and the 2nd ARM master controllers are also
It is connected with the wireless network communication module of land slide data collecting part.
2. a kind of real-time landslide monitoring source of early warning based on FPGA+ARM according to claim 1, which is characterized in that
The displacement monitoring module is the displacement monitoring module based on GPS receiver, equipped with antenna house, protects GPS receivers not
By destructions such as storm, ice and snow, sand and dust and solar radiations.
A kind of 3. real-time landslide monitoring source of early warning based on FPGA+ARM according to claim 1, which is characterized in that institute
The first ARM master controllers stated, are internally provided with FIFO memory.
A kind of 4. real-time landslide monitoring source of early warning based on FPGA+ARM according to claim 1, which is characterized in that institute
Power unit is stated, use is solar powered, and including solar panel and accumulator, solar panel is connected with accumulator,
Accumulator is respectively land slide data collecting part, the power supply of landslide early warning control section.
A kind of 5. real-time landslide monitoring source of early warning based on FPGA+ARM according to claim 1, which is characterized in that institute
The Signal-regulated kinase stated, including sequentially connected signal amplification circuit and signal filter circuit.
A kind of 6. real-time landslide monitoring source of early warning based on FPGA+ARM according to claim 5, which is characterized in that institute
The signal amplification circuit stated, including first resistor, second resistance, 3rd resistor, the 4th resistance, the 5th resistance, the 6th resistance,
Seven resistance, the first operational amplifier, second operational amplifier and the 3rd operational amplifier；First operational amplifier positive input terminal with
The signal output part connection of microseismic sensors, the one end of negative input end respectively with one end of first resistor, second resistance are connected, believe
Number one end of output terminal respectively with the other end of second resistance, the 4th resistance is connected；The positive input terminal of second operational amplifier with
The signal output part connection of microseismic sensors, the one end of negative input end respectively with the other end of first resistor, 3rd resistor are connected,
The one end of signal output part respectively with the other end of 3rd resistor, the 5th resistance is connected；The positive input terminal of 3rd operational amplifier
One end with the other end of the 5th resistance, the 7th resistance is connected respectively, negative input end respectively with the other end of the 4th resistance, the 6th
The other end connection of resistance, signal output part connect respectively with the signal input part of the other end of the 6th resistance, signal filter circuit
It connects；The other end ground connection of 7th resistance.
A kind of 7. real-time landslide monitoring source of early warning based on FPGA+ARM according to claim 5, which is characterized in that institute
The signal conditioning circuit stated, including four-operational amplifier, the 8th resistance, the 9th resistance, the first capacitance and the second capacitance；8th
The signal output part of one end of resistance and the 3rd operational amplifier of signal amplification circuit connect, the other end respectively with the first capacitance
One end, the 9th resistance one end connection；The other end of first capacitance respectively with the signal output part of four-operational amplifier, negative
Input terminal connects；Positive input terminal of the other end of 9th resistance respectively with one end of the second capacitance, four-operational amplifier is connected；
The other end ground connection of second capacitance；The signal output part of four-operational amplifier and the signal input part of AD conversion module connect.
A kind of 8. real-time landslide monitoring source of early warning based on FPGA+ARM according to claim 1, which is characterized in that institute
The AD conversion module stated is the modular converter based on ADS1282 chips.
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| CN201721618666.9U CN207439341U (en) | 2017-11-28 | 2017-11-28 | A kind of real-time landslide monitoring source of early warning based on FPGA+ARM |
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| CN201721618666.9U CN207439341U (en) | 2017-11-28 | 2017-11-28 | A kind of real-time landslide monitoring source of early warning based on FPGA+ARM |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107806814A (en) * | 2017-11-28 | 2018-03-16 | 桂林电子科技大学 | A kind of real-time landslide monitoring source of early warning and method for early warning based on FPGA+ARM |
| CN110930668A (en) * | 2019-12-11 | 2020-03-27 | 成都理工大学 | Landslide edge early warning method and system |
| IT202100016109A1 (en) * | 2021-06-21 | 2022-12-21 | Agon Srls | Landslide monitoring system |
-
2017
- 2017-11-28 CN CN201721618666.9U patent/CN207439341U/en not_active Expired - Fee Related
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107806814A (en) * | 2017-11-28 | 2018-03-16 | 桂林电子科技大学 | A kind of real-time landslide monitoring source of early warning and method for early warning based on FPGA+ARM |
| CN110930668A (en) * | 2019-12-11 | 2020-03-27 | 成都理工大学 | Landslide edge early warning method and system |
| IT202100016109A1 (en) * | 2021-06-21 | 2022-12-21 | Agon Srls | Landslide monitoring system |
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