CN207851060U - Landslide early-warning based on Internet of Things monitors system - Google Patents
Landslide early-warning based on Internet of Things monitors system Download PDFInfo
- Publication number
- CN207851060U CN207851060U CN201721372773.8U CN201721372773U CN207851060U CN 207851060 U CN207851060 U CN 207851060U CN 201721372773 U CN201721372773 U CN 201721372773U CN 207851060 U CN207851060 U CN 207851060U
- Authority
- CN
- China
- Prior art keywords
- internet
- module
- model
- singlechip
- things
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Landscapes
- Testing Or Calibration Of Command Recording Devices (AREA)
- Pit Excavations, Shoring, Fill Or Stabilisation Of Slopes (AREA)
Abstract
The utility model discloses a kind of landslide early-warning monitoring system and its monitoring method based on Internet of Things, including multiple data acquisition modules, each data acquisition module is connect by ZigBee module with governor circuit, governor circuit is connect by gsm communication module with cloud platform, and governor circuit is made of second singlechip；The utility model monitors system based on the landslide early-warning under Internet of Things pattern, solves the problems, such as that existing mountain landslide supervision system price is high, collection point is few and data transmission efficiency is low, data can not network and can not be directed to civilian.
Description
Technical field
The utility model belongs to detection device technical field, and in particular to a kind of landslide early-warning prison based on Internet of Things
Examining system.
Background technology
With economic and science and technology development, the mankind increasingly sharpen for the exploitation of massif resource, and more and more engineerings are broken
It is broken the structure that massif itself is had by oneself, the geological disasters that cause to come down, collapse in recent years etc. are more and more, and have what is growed in intensity to become
Gesture.Therefore, the research with design of landslide detection early warning system just become extremely have application value and realistic meaning.Current
Landslide detection early warning system is primarily directed to government unit, the laying number at high price for leading to not a wide range of large area
According to monitoring point.The transmission mode of gathered data is old, and efficiency low velocity is slow, and the opening of data is also low, is not each
It can be seen that.Nowadays Internet of Things pattern has goed deep into all trades and professions, and the projects such as the monitoring of this massif, environmental monitoring are more suitable
It closes based under Internet of Things.
Currently, the mountain landslide supervision early warning system used at home, cannot be satisfied civilian need that are a wide range of, establishing in a wide range a little
It asks, and monitors system and be not based under Internet of Things pattern, it is open low, cause the data that massif monitors that cannot reach at the first time
In people's hand.
Utility model content
The purpose of this utility model is to provide a kind of landslide early-warning monitoring system based on Internet of Things, solves existing
The problem that mountain landslide supervision system data acquisition is few, efficiency is low.
The utility model is the technical scheme adopted is that a kind of landslide early-warning based on Internet of Things monitors system, packet
Multiple data acquisition modules are included, each data acquisition module is connect by ZigBee module with governor circuit, and governor circuit is logical
It crosses gsm communication module to connect with cloud platform, governor circuit is made of second singlechip.
The utility model is also characterized by：
Data acquisition module includes first singlechip, first singlechip respectively with obliquity sensor, soil humidity sensor,
Aerial temperature and humidity sensor, ZigBee module, power module and power management module are wirelessly connected.
Power module includes sequentially connected battery supply and regulator circuit, and regulator circuit is connect with first singlechip.
Obliquity sensor, soil moisture sensing are arranged on first circuit board, first singlechip, aerial temperature and humidity sensing
Device, ZigBee module, battery supply, regulator circuit and power management module are respectively provided on the second circuit board, first circuit board
It is arranged in closed container with second circuit board, first circuit board is connected with second circuit board across closed container.
The model MSP430G2553 of first singlechip, the model ADXL345 of obliquity sensor, power management module
Model TP4056.
ZigBee model model CC520, second singlechip model STM32F103RET6, the model of gsm communication module
For GSM808.
Cloud platform is China Mobile's Onenet platform of internet of things.
The utility model has the beneficial effects that：Landslide early-warning based on Internet of Things monitors system, provides a set of base
Landslide early-warning under Internet of Things pattern monitors system, solves existing landslide detecting system price height, collection point
Less and data transmission efficiency is low, data can not network and can not be directed to civilian problem；This system is based on ZigBee communication skill
Art, can a wide range of large area laying soil data collection point, the data of whole system are wireless transmission, thus compared to
Other wired massifs monitor system, are more suitable for field laying, while the system is based under Internet of Things pattern, data are logical by GSM
Letter system uploads to internet high in the clouds, realizes the display of data.
Description of the drawings
Fig. 1 is landslide early-warning monitoring system structure diagram of the utility model based on Internet of Things；
Fig. 2 is that the structure of data acquisition module in landslide early-warning monitoring system of the utility model based on Internet of Things is shown
It is intended to.
In figure, 1. data acquisition modules, 2.ZigBee modules, 3. governor circuits, 4.GSM communication modules, 5. cloud platforms, 6.
First singlechip, 7. obliquity sensors, 8. soil humidity sensors, 9. aerial temperature and humidity sensors, 10. power modules, 11. electricity
Source control module, 12. first circuit boards, 13. battery supplies, 14. regulator circuits, 15. second circuit boards.
Specific implementation mode
The utility model is described in detail with reference to the accompanying drawings and detailed description.
Landslide early-warning of the utility model based on Internet of Things monitors system, as shown in Figure 1, being acquired including multiple data
Module 1, as shown in Fig. 2, each data acquisition module 1 includes first singlechip 6, first singlechip 6 is sensed with inclination angle respectively
Device 7, soil humidity sensor 8, aerial temperature and humidity sensor 9, ZigBee module 2, power module 10 and power management module 11
It is wirelessly connected；Power module 10 includes sequentially connected battery supply 13 and regulator circuit 14, regulator circuit 14 and the first monolithic
Machine 6 connects；Wherein, first singlechip 6, obliquity sensor 7, soil moisture sensing 8 are arranged on first circuit board 12, air
Temperature Humidity Sensor 9, ZigBee module 2, battery supply 13, regulator circuit 14 and power management module 11 are arranged at the second electricity
On road plate 15, first circuit board 12 and second circuit board 15 are arranged in closed container, first circuit board 12 and second circuit
Plate 15 is connected across closed container with winding displacement；Data acquisition module 1 is connect by ZigBee module 2 with governor circuit 3, master control electricity
Road 3 is connect by gsm communication module 4 with cloud platform 5, and governor circuit 3 is made of second singlechip.
Wherein, the model MSP430G2553 of first singlechip 6,7 model ADXL345 of obliquity sensor, inclination angle sensing
Device 7 can detect the inclination angle of massif, for analyzing the degree that massif is caused danger, while can be judged by the change at inclination angle
Whether massif moves, and sends out alarm in time；2 model CC5230 of ZigBee module, ZigBee module are placed in the second electricity
It is laid in road plate 15 and on a large scale in monitoring area, because it possesses ad hoc network function, can mutually be passed on from one to another in several square kilometres
Delivery data；The chip of regulator circuit 14 is LM1117-5, and regulator circuit 14 can exist the output voltage stabilization of battery supply 13
3.3V is that various sensors and MSP430G2553 microcontrollers are powered；The model TP4056 of power management module 11, power supply pipe
The main function for managing module 11 is for detecting electric quantity of power supply；The model STM32F103RET6 of second singlechip, gsm communication
The model GSM808 of module 4, cloud platform 5 are China Mobile's Onenet platform of internet of things.
Landslide early-warning monitoring system of the utility model based on Internet of Things when in use, will be equipped with first circuit board 12
Closed container sealed with wax, place into the soil lower section one meter at position；Closed container equipped with second circuit board 15 is placed in
Upper soll layer and the surface for being located at the closed container for filling first circuit board 12；Obliquity sensor 7, soil humidity sensor 8 with
And the data of acquisition are sent in the MSP430G2553 microcontrollers of second circuit board 15 by aerial temperature and humidity sensor 9,
After MSP430G2553 microcontrollers carry out simple analysis to the data that all the sensors are collected into, together with ZigBee communication address
Packing is handled, and is transmitted data in governor circuit 3 with ZigBee module 2；Form governor circuit 3
STM32F103RET6 microcontrollers can receive the information of tens to hundreds of ZigBee submodules transmission by ZigBee module 2,
To realize to hundreds of numbers according to the data receiver of collection point；The data that governor circuit 3 sends different data acquisition point carry out
It unpacks, analyzes the danger coefficient of the accuracy and the condition of a disaster generation of data, each data are combined with communication protocol then, form net
Network message is placed in array caching, and network message is mainly by necessary communication protocol, the ID of equipment, data flow and data
Several parts ID are constituted, and entire message is sent to GSM in a manner of array by the USART serial ports of STM32F103RET6 microcontrollers
Communication module 4, gsm communication module 4 pass through the communication base station near connecting, so that it may to transmit data to internet cloud platform 5
In, Internet of Things cloud platform 5 is to be based on China Mobile's Onenet cloud platforms, and data upload to internet cloud end data by GSM808
Behind library, it can be shown by cell phone application either webpage Web.Specific method is to input network message at equipment management interface
Device number, you can to navigate in specific governor circuit.Then in data flow option, it can select to need by data flow ID
The data flow wanted.Interface is write in application, the program that mode detects landslide early warning system is write with graphical application
It is write, matches corresponding data flow, you can complete the application display of data flow.
By the above-mentioned means, landslide early-warning of the utility model the utility model based on Internet of Things monitors system, carry
The landslide early-warning supplied under a set of pattern based on Internet of Things monitors system, solves existing landslide detecting system price
Civilian problem that high, collection point is few and data transmission efficiency is low, data can not network and can not be directed to；This system is based on
ZigBee communication technology, can a wide range of large area laying soil data collection point, the data of whole system are wireless biography
It is defeated, so monitoring system compared to other wired massifs, it is more suitable for field laying, while the system is based under Internet of Things pattern,
Data upload to internet high in the clouds by gsm communication system, realize the display of data.
Claims (4)
1. the landslide early-warning based on Internet of Things monitors system, which is characterized in that including multiple data acquisition modules (1), often
A data acquisition module (1) is connect by ZigBee module (2) with governor circuit (3), and the governor circuit (3) passes through
Gsm communication module (4) is connect with cloud platform (5), and the governor circuit (3) is made of second singlechip；
The data acquisition module (1) includes first singlechip (6), the first singlechip (6) respectively with obliquity sensor
(7), soil humidity sensor (8), aerial temperature and humidity sensor (9), ZigBee module (2), power module (10) and power supply pipe
Module (11) is managed to be wirelessly connected；
The power module (10) includes sequentially connected battery supply (13) and regulator circuit (14), the regulator circuit (14)
It is connect with the first singlechip (6)；
The obliquity sensor (7), soil humidity sensor (8) are arranged on first circuit board (12), first monolithic
Machine (6), aerial temperature and humidity sensor (9), ZigBee module (2), battery supply (13), regulator circuit (14) and power management mould
Block (11) is arranged on second circuit board (15), and the first circuit board (12) and second circuit board (15) are arranged at closed
In container, the first circuit board (12) connects with second circuit board (15) across closed container.
2. the landslide early-warning according to claim 1 based on Internet of Things monitors system, which is characterized in that described first
The model MSP430G2553 of microcontroller (6), the model ADXL345 of the obliquity sensor (7), the power management mould
The model TP4056 of block (11).
3. the landslide early-warning according to claim 1 based on Internet of Things monitors system, which is characterized in that described
ZigBee module (2) model CC5230, the model STM32F103RET6 of the second singlechip, the gsm communication module
(4) model GSM808.
4. the landslide early-warning according to claim 1 based on Internet of Things monitors system, which is characterized in that the cloud is flat
Platform (5) is China Mobile's Onenet platform of internet of things.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201721372773.8U CN207851060U (en) | 2017-10-24 | 2017-10-24 | Landslide early-warning based on Internet of Things monitors system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201721372773.8U CN207851060U (en) | 2017-10-24 | 2017-10-24 | Landslide early-warning based on Internet of Things monitors system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN207851060U true CN207851060U (en) | 2018-09-11 |
Family
ID=63425989
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201721372773.8U Expired - Fee Related CN207851060U (en) | 2017-10-24 | 2017-10-24 | Landslide early-warning based on Internet of Things monitors system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN207851060U (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110285854A (en) * | 2019-06-18 | 2019-09-27 | 广西大学 | A kind of slope of highway soil moisture monitoring and warning system based on technology of Internet of things |
| CN110296694A (en) * | 2019-06-18 | 2019-10-01 | 广西大学 | A kind of slope of highway soil displacement monitoring and prewarning system based on technology of Internet of things |
| CN115546994A (en) * | 2022-10-14 | 2022-12-30 | 重庆地质矿产研究院 | Landslide disaster early warning and forecasting method based on ad hoc network type monitoring points |
| CN116913044A (en) * | 2023-07-17 | 2023-10-20 | 四川农业大学 | Multifunctional slope monitoring and early warning equipment considering matrix suction force |
-
2017
- 2017-10-24 CN CN201721372773.8U patent/CN207851060U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110285854A (en) * | 2019-06-18 | 2019-09-27 | 广西大学 | A kind of slope of highway soil moisture monitoring and warning system based on technology of Internet of things |
| CN110296694A (en) * | 2019-06-18 | 2019-10-01 | 广西大学 | A kind of slope of highway soil displacement monitoring and prewarning system based on technology of Internet of things |
| CN115546994A (en) * | 2022-10-14 | 2022-12-30 | 重庆地质矿产研究院 | Landslide disaster early warning and forecasting method based on ad hoc network type monitoring points |
| CN116913044A (en) * | 2023-07-17 | 2023-10-20 | 四川农业大学 | Multifunctional slope monitoring and early warning equipment considering matrix suction force |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN207851060U (en) | Landslide early-warning based on Internet of Things monitors system | |
| CN206004706U (en) | A kind of data collecting system | |
| CN107798827A (en) | Landslide early-warning monitoring system and its monitoring method based on Internet of Things | |
| CN103247151A (en) | Geological disaster monitoring system | |
| CN106023643A (en) | Internet of things-based novel vehicle detection device | |
| CN106569255A (en) | Wireless transmission-based coal mine stope earthquake source monitoring and locating system | |
| CN209742970U (en) | Subway tunnel subsides wireless monitoring devices based on zigBee | |
| CN110082498A (en) | A kind of landslide monitoring data unmanned plane acquisition system based on wireless sensor Internet of Things | |
| CN104074507A (en) | Underground detection device, underground detection system and well lid | |
| CN214407469U (en) | Underground water information monitoring system | |
| CN103323701B (en) | A kind of portable electric energy efficiency detection method and system thereof | |
| CN104318697B (en) | Node arrangement method of wireless sensor network for monitoring forest fires | |
| CN103903395A (en) | Low-cost landslide early warning recording device based on MEMS accelerometers | |
| CN201262562Y (en) | Water level collection system based on wireless sensor network | |
| CN105179013A (en) | Coal illegal mining monitoring method based on vibration monitoring and positioning | |
| CN202771016U (en) | Automatic meteorological station/environment monitoring station for traffic route based on wireless sensor network | |
| CN205827677U (en) | A kind of new vehicle based on Internet of Things detection device | |
| CN205691465U (en) | A kind of construction site dust pollution monitoring system | |
| CN201072594Y (en) | Wireless pressure collection and recording system | |
| CN202434041U (en) | Large-caliber water meter wireless control system | |
| CN205013046U (en) | Coal illegal mining monitoring system based on vibration monitor positioning | |
| CN207636796U (en) | Automatic meteorological data monitoring system based on Cloud Server | |
| CN203520145U (en) | Intelligent city exhibition and education device based on Zigbee technology | |
| CN102143205A (en) | Internet of things technology-based environment monitoring node and system | |
| CN206684904U (en) | A kind of Mine production monitoring device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| 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: 20180911 Termination date: 20201024 |