CN104141510B - A kind of Karst Tunnel gushing water perception early warning system based on Internet of Things and method - Google Patents
A kind of Karst Tunnel gushing water perception early warning system based on Internet of Things and method Download PDFInfo
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- CN104141510B CN104141510B CN201410323133.2A CN201410323133A CN104141510B CN 104141510 B CN104141510 B CN 104141510B CN 201410323133 A CN201410323133 A CN 201410323133A CN 104141510 B CN104141510 B CN 104141510B
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Abstract
The invention discloses a kind of Karst Tunnel gushing water perception early warning system based on Internet of Things and method, including tunnel water inrush precursor multiple information aware platform layer, the transmission of perception data network, storage and analysis layer and hazard prevention system early warning layer；Tunnel water inrush precursor multiple information aware platform layer utilizes sensing terminal gather data message and transmitted by its distributed access perception data network, store and analysis layer, the transmission of perception data network, storage and analysis layer receive the data of tunnel water inrush precursor multiple information aware platform layer transmission and store to Spatial Data Warehouse, utilize cloud computing service platform to be analyzed data processing, by hazard prevention system early warning layer, analysis result is issued early warning by four look early warning platforms and indicate.Achieve the monitoring the most in real time of the polynary precursor information of water bursting disaster, complete Monitoring Data science simultaneously and store, quickly process, issue in time, decrease the construction delay owing to generation gushing water in tunnel produces, workmen's injures and deaths and plant equipment damage.
Description
Technical field
The present invention relates to a kind of Karst Tunnel gushing water perception early warning system based on Internet of Things and method.
Background technology
Internet of Things is the internet that a kind of thing thing is connected.Based on technology of Internet of things, by safety for tunnel engineering and the Internet converged, shape
Become a kind of tunnel based on internet technology of Internet of things.
During tunnel is built in karst area, often there is the disaster such as gushing water, prominent mud.Disaster occurs to affect tunnel and executes
Work duration, increase engineering construction cost, damage plant equipment, can constitute harm to the life of workmen time serious.Dash forward in tunnel
Can be with the change of multiple precursor information when water occurs, such as surrounding rock displacement, ess-strain, osmotic pressure, temperature field etc. become
Change.
At present, technology of Internet of things application in tunnel also in the starting stage, interior lighting during runing mainly for tunnel,
The monitoring of the information such as temperature, humidity and vehicle flowrate.And during tunneling, use technology of Internet of things to various burst fire-disasters
Prediction and warning not yet relates to.Herein, the prediction and warning technology for water bursting disaster is the most immature, the acquisition of water inrush precursor information
Mode is the most perfect, cannot accurately carry out early warning and withdraw in time, and in tunnel, construction environment complexity is many when causing generation water bursting disaster
Sample, multiple interference information source is also deposited, and affects the change of the accurate recognition part water inrush precursor information of construction safety personnel, monitors people
Member cannot accomplish again tunnel surrounding rock displacement, stress field, temperature field, osmotic pressure etc. are carried out real-time, continuous, monitor dynamically,
More can not meet in engineering project and Monitoring Data be shared and the problem such as in real time process, invent one based on tunnel technology of Internet of things
Set Karst Tunnel gushing water perception early warning technology.
Summary of the invention
Cannot implement round-the-clock, the monitoring tunnel surrounding rock displacement change of real-time continuous to solve monitoring personnel, water inrush precursor is polynary
Acquisition of information difficulty, it is impossible to obtaining water inrush precursor multiple information field data accurately under conditions of construction environment is severe, data are entered
Row storage, analysis time and effort consuming, data results delay of feedback, it is impossible to after realizing disaster alarm, site operation personnel quickly remove
From etc. problem.
The invention discloses a kind of Karst Tunnel gushing water perception early warning system based on Internet of Things and method.Collection water inrush precursor information is adopted
It is integrated in one, takes into account data and store safely and fast and analyze, by cloud computing service rapid feedback polynary precursor information analysis result,
And form four look early warning instructions, take water bursting disaster prophylactico-therapeutic measures in time.In the process, it is achieved monitor in real time with excavation process,
Perception early warning the most continuously.
For achieving the above object, the concrete scheme of the present invention is as follows:
A kind of Karst Tunnel gushing water perception early warning system based on Internet of Things, including tunnel water inrush precursor multiple information aware platform layer,
The transmission of perception data network, storage and analysis layer and hazard prevention system early warning layer；
Described tunnel water inrush precursor multiple information aware platform layer utilizes sensing terminal gather data and access sense by distributed for data
The transmission of primary data network, storage and analysis layer, it is polynary that the transmission of perception data network, storage and analysis layer receive tunnel water inrush precursor
Information Perception podium level transmit data and store to Spatial Data Warehouse, utilize cloud computing service platform data are analyzed place
Reason, issues early warning by hazard prevention system early warning layer by analysis result and indicates.
Described sensing terminal includes displacement transducer, temperature sensor, strain gauge and hydraulic pressure sensor.
Described data distributed access perception data network transmission, storage and analysis layer specifically use WiFi, Bluetooth, RFID,
ZigBee and Ethernet.
Described tunnel water inrush precursor multiple information aware platform layer utilizes wireless wide-area private network to transfer data to perception data network and passes
Defeated, storage and analysis layer.
Institute's displacement sensors is fiber grating displacement sensor, and strain gauge is optical fiber optical grating stress sensor, TEMP
Device is fiber-optical grating temperature sensor, and hydraulic pressure sensor is fiber grating hydraulic pressure sensor, due to Karst Tunnel gushing water position not
Certainty, many acquisition of informations need to lay in a large number, dispersedly at tunnel side wall, vault and face sensor again, carry out same
Walk, measure continuously.
Described hazard prevention system early warning layer includes project management center and four look early warning distribution platforms.
A kind of Karst Tunnel gushing water perception method for early warning based on Internet of Things, including:
Tunnel water inrush precursor multiple information aware platform obtains multiple information data by sensing terminal, and multiple information data are specifically wrapped
Include displacement, temperature, stress and hydraulic pressure；With WiFi, Bluetooth, RFID, ZigBee and Ethernet, sensing terminal is carried out
Networking, it is achieved many information networking distributed monitorings；
By data transmission network, the transmission of multiple information data to Spatial Data Warehouse and is stored, use cloud computing service platform to enter
The machine learning of row data, pattern-recognition, statistical analysis, parametric inversion and models fitting analysis, transmit in time by analysis result
To project management center, issue early warning instruction according to analysis result at four look early warning distribution platforms.
The warning lamp of described four look early warning distribution platforms is made up of blue, yellow, orange, red four look warning lamp.
Multiple information data carry out data transmission through networking.
Concrete techniqueflow is: tunnel water inrush precursor multiple information aware platform obtains multiple information data, passes through data transmission network
Network by the transmission of multiple information data to Spatial Data Warehouse and store, use cloud computing service platform carry out data machine learning,
Pattern-recognition, statistical analysis, parametric inversion and models fitting analysis, be sent to project management center in time by analysis result,
Early warning instruction is issued according to analysis result.
Beneficial effects of the present invention:
The present invention can realize In Karst Tunnel water bursting disaster is implemented round-the-clock, the monitoring of real-time continuous and early warning, is widely applicable to
In vcehicular tunnel, railway tunnel, urban subway tunnel and coal mine roadway, it is achieved the monitoring of the polynary precursor information of water bursting disaster,
Realize the storage of Monitoring Data science, quickly process, issue in time, reduce the construction delay produced due to tunnel generation gushing water and execute
Work casualties, reduces plant equipment damage simultaneously, prevents the generation of water bursting disaster accident in advance.
Accompanying drawing explanation
The overall structure schematic diagram of Fig. 1 present invention；
In figure, 1 hydraulic pressure sensor, 2 displacement transducers, 3 strain gauges, 4 temperature sensors, 5, WiFi, 6, Bluetooth,
7, RFID, 8, ZigBee, 9 Ethernets, A tetra-look early warning distribution platform, B project management center, C cloud computing service is put down
Platform, D Spatial Data Warehouse, E distributed data accesses (networking) mode, the many units of F (many) information Perception platform.
Detailed description of the invention:
The present invention is described in detail below in conjunction with the accompanying drawings:
As it is shown in figure 1, Karst Tunnel gushing water perception early warning system based on Internet of Things, including: four look early warning distribution platform A；
Project management center B；Cloud computing service platform C；Spatial Data Warehouse D；Distributed data accesses (networking) mode E.
Distributed data accesses (networking) mode E and comprises WiFi, Bluetooth, RFID, ZigBee and Ethernet；Polynary (many
) information Perception platform F, comprise hydraulic pressure sensor 1；Displacement transducer 2；Strain gauge 3；Temperature sensor 4.Tunnel
Water inrush precursor multiple information aware platform the most polynary (many) information Perception platform F by hydraulic pressure sensor 1, displacement transducer 2, should
Force snesor 3, temperature sensor 4 form, many precursor information synchronous acquisitions relevant to gushing water, with WiFi, Bluetooth,
RFID, ZigBee and Ethernet carry out networking to sensing terminal, it is achieved many information networking distributed monitorings；Monitoring obtains
Many (polynary) information be sent to Spatial Data Warehouse D by wireless wide-area private network, carry out many by cloud computing service platform C
The analysis of information and process；Analysis result is sent to project management center B, is then entered by four look early warning distribution platform A
Row early warning is issued.Warning lamp is lighted, and can give tunnel site operation alert persons, reminds the danger etc. that water bursting disaster is corresponding at present
Level.
The operation principle of the present invention: tunnel of the present invention water inrush precursor multiple information aware platform is by displacement transducer 2, temperature sensor
4, strain gauge 3, hydraulic pressure sensor 1 form, many precursor information synchronous acquisitions relevant to gushing water, with WiFi, Bluetooth,
RFID, ZigBee and Ethernet carry out networking to sensing terminal, it is achieved many information networking distributed monitorings；Monitoring obtains
Many (polynary) information are sent to Spatial Data Warehouse D by wireless wide-area private network, carry out many letters by cloud computing service platform C
The analysis of breath and process；Analysis result is sent to project management center B, then carries out pre-by four look early warning distribution platform A
Alert issue.Warning lamp is lighted, and can give tunnel site operation alert persons, reminds the danger classes that water bursting disaster is corresponding at present.
Blue, yellow, orange, red gushing water danger classes is incremented by successively, and when orange warning lamp is lighted, workmen must quickly withdraw, anti-
Only there is gushing water, cause personal injury.
Although the detailed description of the invention of invention is described by the above-mentioned accompanying drawing that combines, but not limiting the scope of the invention,
One of ordinary skill in the art should be understood that on the basis of technical scheme, and those skilled in the art need not pay wound
The property the made various amendments that can make of work or deformation are still within protection scope of the present invention.
Claims (6)
1. a Karst Tunnel gushing water perception early warning system based on Internet of Things, is characterized in that, before tunnel gushing water
Million multiple information aware platform layers, the transmission of perception data network, storage and analysis layer and hazard prevention system early warning layer；
Described tunnel water inrush precursor multiple information aware platform layer utilizes sensing terminal gather data and data be distributed
The transmission of access perception data network, storage and the analysis layer of formula, the transmission of perception data network, storage and analysis layer connect
Receive the data of tunnel water inrush precursor multiple information aware platform layer transmission and store to Spatial Data Warehouse, utilizing cloud meter
Calculate service platform to be analyzed data processing, by hazard prevention system early warning layer, analysis result is issued early warning and indicate；
Described data distributed access perception data network transmission, storage and analysis layer specifically use WiFi,
Bluetooth, RFID, ZigBee and Ethernet；
Described tunnel water inrush precursor multiple information aware platform layer utilizes wireless wide-area private network to transfer data to perception number
According to network transmission, storage and analysis layer.
A kind of Karst Tunnel gushing water perception early warning system based on Internet of Things, its feature
It is that described sensing terminal includes displacement transducer, temperature sensor, strain gauge and hydraulic pressure sensor.
A kind of Karst Tunnel gushing water perception early warning system based on Internet of Things, its feature
Being that institute's displacement sensors is fiber grating displacement sensor, strain gauge is optical fiber optical grating stress sensor,
Temperature sensor is fiber-optical grating temperature sensor, and hydraulic pressure sensor is fiber grating hydraulic pressure sensor.
A kind of Karst Tunnel gushing water perception early warning system based on Internet of Things, its feature
It is that described hazard prevention system early warning layer includes project management center and four look early warning distribution platforms.
A kind of pre-police of Karst Tunnel gushing water perception early warning system based on Internet of Things
Method, is characterized in that, including: tunnel water inrush precursor multiple information aware platform obtains multiple information by sensing terminal
Data, multiple information data specifically include displacement, temperature, stress and hydraulic pressure；With WiFi, Bluetooth, RFID,
ZigBee and Ethernet carry out networking to sensing terminal, it is achieved many information networking distributed monitorings；By number
According to transmission network, the transmission of multiple information data to Spatial Data Warehouse and is stored, use cloud computing service platform to carry out
The analysis of data, is sent to project management center in time by analysis result, according to analysis result in four look early warning
Distribution platform issues early warning instruction.
A kind of pre-police of Karst Tunnel gushing water perception early warning system based on Internet of Things
Method, is characterized in that, the warning lamp of described four look early warning distribution platforms is made up of blue, yellow, orange, red four look warning lamp.
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| CN105927276A (en) * | 2016-05-05 | 2016-09-07 | 四川加联达工程技术有限公司 | Subway shield segment posture monitoring management system based on mobile terminal |
| CN107144891A (en) * | 2017-06-12 | 2017-09-08 | 山东大学 | The monitoring of water burst precursor information dash forward with merging early warning system and method in tunnel |
| CN109113788A (en) * | 2018-05-31 | 2019-01-01 | 中国地质大学（武汉） | A kind of Karst Tunnel karst water inflow method |
| CN109505656B (en) * | 2018-10-22 | 2020-10-09 | 重庆交通大学 | Karst tunnel water inrush early warning system and early warning method |
| CN112610277B (en) * | 2020-12-08 | 2022-04-12 | 中铁隧道局集团有限公司 | Method for rapidly predicting geological disaster risk of water-rich weak surrounding rock tunnel |
| CN116792155A (en) * | 2023-06-26 | 2023-09-22 | 华南理工大学 | Tunnel health state monitoring and early warning method based on distributed optical fiber sensing |
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| KR20040104948A (en) * | 2004-11-22 | 2004-12-13 | 김길평 | air mat for water leakage safety sensing of tunnel inside |
| CN101625352B (en) * | 2009-08-05 | 2013-08-28 | 山东大学 | Test method of karst water burst when tunneling and monitor device thereof |
| CN201464860U (en) * | 2009-08-05 | 2010-05-12 | 山东大学 | Monitoring device for karst water burst during tunnel excavation |
| CN101696639A (en) * | 2009-10-16 | 2010-04-21 | 山东大学 | Fiber mine water inrush precursor information monitor |
| CN102923538A (en) * | 2012-07-06 | 2013-02-13 | 天津大学 | Elevator health management and maintenance system based on Internet of things and collection and assessment method |
| CN103489053A (en) * | 2013-05-13 | 2014-01-01 | 湖南云控科技有限公司 | Intelligent water resource control platform based on cloud computing and expert system |
| CN203362228U (en) * | 2013-06-24 | 2013-12-25 | 山东泰安斯福特玻璃钢科技有限公司 | Laneway stability monitoring system based on internet of things technology |
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