CN104141510A - Karst tunnel water burst sensing early warning system and karst tunnel water burst sensing early warning method based on Internet of Things - Google Patents
Karst tunnel water burst sensing early warning system and karst tunnel water burst sensing early warning method based on Internet of Things Download PDFInfo
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Abstract
The invention discloses a karst tunnel water burst sensing early warning system and a karst tunnel water burst sensing early warning method based on Internet of Things. The system comprises a tunnel water burst premonition multivariate information sensing platform layer, a data sensing network transmission storage and analysis layer and a disaster graded early warning layer, wherein the tunnel water burst premonition multivariate information sensing platform layer uses a sensing terminal to collect data information and accesses the data information into the data sensing network transmission storage and analysis layer in a distributed way, the data sensing network transmission storage and analysis layer receives the data transmitted by the tunnel water burst premonition multivariate information sensing platform layer and stores the received data into a space database, a cloud computing service platform is used for analyzing and processing the data, and the analysis result is subjected to early warning indication issuing through a four-color early warning platform through the disaster grading early warning layer. The system and the method provided by the invention have the advantages that the fast real-time monitoring on the water burst disaster multivariate premonition information is realized, meanwhile, the scientific storage, the fast processing and the timely issuing of the monitored data are completed, and the project delay, the construction personnel casualty and the mechanical equipment damage due to tunnel water burst are reduced.
Description
Technical field
The present invention relates to a kind of Karst Tunnel gushing water perception early warning system and method based on Internet of Things.
Background technology
Internet of Things is the connected internet of a kind of thing thing.Based on technology of Internet of things, by safety for tunnel engineering and the Internet converged, form a kind of tunnel technology of Internet of things based on internet.
In karst area, build in the process in tunnel, the disasters such as gushing water, prominent mud often occur.There is to affect the constructing tunnel duration, increase engineering construction cost, damage plant equipment in disaster, when serious, can form harm to constructor's life.When tunnel gushing water occurs, can follow the change of multiple precursor information, such as surrounding rock displacement, ess-strain, osmotic pressure, thermal field etc. changes.
At present, the application of technology of Internet of things in tunnel is also in the starting stage, mainly for the monitoring of the information such as interior lighting, temperature, humidity and vehicle flowrate during tunnel operation.And during tunneling, adopt technology of Internet of things not yet to relate to the prediction early warning of various burst fire-disasters.Herein, prediction early warning technology for water bursting disaster is also immature, the obtain manner of water inrush precursor information is not yet perfect, while causing generation water bursting disaster, cannot accurately carry out early warning withdraws in time, and construction environment complexity is various in tunnel, also deposit in multiple interfere information source, affect the change of construction safety personnel's accurate identification part water inrush precursor information, monitoring personnel cannot accomplish tunnel surrounding rock displacement again, stress field, thermal field, osmotic pressure etc. carry out in real time, continuously, dynamic monitoring, more can not meet the problems such as shared and processing in real time to monitored data in object of construction production, based on tunnel technology of Internet of things, invent a set of Karst Tunnel gushing water perception early warning technology.
Summary of the invention
In order to solve monitoring personnel, cannot implement monitoring tunnel surrounding rock displacement variation round-the-clock, real-time continuous, water inrush precursor multiple information obtains difficulty, cannot under the severe condition of construction environment, obtain water inrush precursor multiple information field data accurately, time and effort consuming is stored, analyzed to data, data results delay of feedback, cannot realize the problems such as site operation personnel withdraw fast after disaster alarm.
The invention discloses a kind of Karst Tunnel gushing water perception early warning system and method based on Internet of Things.Collection water inrush precursor information is collected in one, takes into account data security quick storage and analysis, by the polynary precursor information analysis result of cloud computing service rapid feedback, and forms four look early warning indications, takes in time water bursting disaster prophylactico-therapeutic measures.In this process, realize and monitoring in real time with excavation process, dynamically perception early warning continuously.
For achieving the above object, concrete scheme of the present invention is as follows:
A Karst Tunnel gushing water perception early warning system based on Internet of Things, comprises tunnel water inrush precursor multiple information aware platform layer, perception data Internet Transmission, storage and analysis layer and disaster grading forewarning system layer;
Described tunnel water inrush precursor multiple information aware platform layer utilizes sensing terminal image data and by the distributed access perception data of data Internet Transmission, storage and analysis layer, perception data Internet Transmission, storage and analysis layer receive the data of tunnel water inrush precursor multiple information aware platform layer transmission and are stored to Spatial Data Warehouse, utilize cloud computing service platform to carry out analyzing and processing to data, by disaster grading forewarning system layer, analysis result is issued to early warning and indicate.
Described sensing terminal comprises displacement transducer, temperature pick up, strain gauge and hydraulic pressure sensor.
The distributed access perception data of described data Internet Transmission, storage and analysis layer specifically adopt WiFi, Bluetooth, RFID, ZigBee and Ethernet.
Described tunnel water inrush precursor multiple information aware platform layer utilizes wireless wide-area private network that data are sent to perception data Internet Transmission, storage and analysis layer.
Described displacement transducer is fiber grating displacement sensor, strain gauge is optical fiber optical grating stress sensor, temperature pick up is fiber-optical grating temperature sensor, hydraulic pressure sensor is fiber grating hydraulic pressure sensor, uncertainty due to Karst Tunnel gushing water position, many field information are obtained tunnel side wall, vault and face place again and are laid in a large number, dispersedly sensor, carry out synchronous, continuous measurement.
Described disaster grading forewarning system layer comprises project management center and four look early warning distribution platforms.
A Karst Tunnel gushing water perception method for early warning based on Internet of Things, comprising:
Tunnel water inrush precursor multiple information aware platform obtains multiple information data by sensing terminal, and multiple information data specifically comprise displacement, temperature, stress and hydraulic pressure; With WiFi, Bluetooth, RFID, ZigBee and Ethernet, sensing terminal is carried out to networking, realize many field information networking distributed monitoring;
By data transmission network, multiple information transfer of data to Spatial Data Warehouse is also stored, adopt cloud computing service platform to carry out machine learning, pattern-recognition, statistical analysis, parametric inversion and the models fitting analysis of data, analysis result is sent to project management center in time, according to analysis result, in four look early warning distribution platform issue early warning, indicates.
The warning lamp of described four look early warning distribution platforms is comprised of blue, yellow, orange, red four look warning lamps.
Multiple information data are carried out transfer of data through networking.
Concrete techniqueflow is: tunnel water inrush precursor multiple information aware platform obtains multiple information data, by data transmission network, multiple information transfer of data to Spatial Data Warehouse is also stored, adopt cloud computing service platform to carry out machine learning, pattern-recognition, statistical analysis, parametric inversion and the models fitting analysis of data, analysis result is sent to project management center in time, according to analysis result issue early warning indication.
Beneficial effect of the present invention:
The present invention can realize In Karst Tunnel water bursting disaster is implemented to monitoring and early warning round-the-clock, real-time continuous, extensively be adapted in highway tunnel, railway tunnel, urban subway tunnel and coal mine roadway, realize the monitoring of the polynary precursor information of water bursting disaster, realize the storage of monitored data science, fast processing, issue in time, construction delay and constructor's injures and deaths that minimizing produces due to tunnel generation gushing water, reduce plant equipment damage simultaneously, prevent in advance the generation of water bursting disaster accident.
Accompanying drawing explanation
Fig. 1 overall structure schematic diagram of the present invention;
In figure, 1 hydraulic pressure sensor, 2 displacement transducers, 3 strain gauges, 4 temperature pick ups, 5, WiFi, 6, Bluetooth, 7, RFID, 8, ZigBee, 9 Ethernets, A tetra-look early warning distribution platforms, B project management center, C cloud computing service platform, D Spatial Data Warehouse, E distributed data access (networking) mode, the many units of F (many) information Perception platform.
The specific embodiment:
Below in conjunction with accompanying drawing, the present invention is described in detail:
As shown in Figure 1, the Karst Tunnel gushing water perception early warning system based on Internet of Things, comprising: four look early warning distribution platform A; Project management center B; Cloud computing service platform C; Spatial Data Warehouse D; Distributed data access (networking) mode E.
Distributed data access (networking) mode E comprises WiFi, Bluetooth, RFID, ZigBee and Ethernet; Polynary (many) information Perception platform F, comprises hydraulic pressure sensor 1; Displacement transducer 2; Strain gauge 3; Temperature pick up 4.Tunnel water inrush precursor multiple information aware platform i.e. polynary (many) information Perception platform F is comprised of hydraulic pressure sensor 1, displacement transducer 2, strain gauge 3, temperature pick up 4, many the precursor information synchronous acquisitions relevant to gushing water, with WiFi, Bluetooth, RFID, ZigBee and Ethernet, sensing terminal is carried out to networking, realize many field information networking distributed monitoring; Many (polynary) information exchanges that monitoring obtains are crossed wireless wide-area private network and are sent to Spatial Data Warehouse D, carry out analysis and the processing of many field information by cloud computing service platform C; Analysis result is sent to project management center B, then by four look early warning distribution platform A, carries out early warning issue.Warning lamp is lighted, and can give tunnel site operation personnel warning, reminds the water bursting disaster danger classes of correspondence at present.
Operating principle of the present invention: tunnel of the present invention water inrush precursor multiple information aware platform is comprised of displacement transducer 2, temperature pick up 4, strain gauge 3, hydraulic pressure sensor 1, many the precursor information synchronous acquisitions relevant to gushing water, with WiFi, Bluetooth, RFID, ZigBee and Ethernet, sensing terminal is carried out to networking, realize many field information networking distributed monitoring; Many (polynary) information exchanges that monitoring obtains are crossed wireless wide-area private network and are sent to Spatial Data Warehouse D, carry out analysis and the processing of many field information by cloud computing service platform C; Analysis result is sent to project management center B, then by four look early warning distribution platform A, carries out early warning issue.Warning lamp is lighted, and can give tunnel site operation personnel warning, reminds the water bursting disaster danger classes of correspondence at present.Blue, yellow, orange, red gushing water danger classes increases progressively successively, and when orange warning lamp is lighted, constructor must withdraw fast, prevents gushing water, causes personal injury.
Although above-mentioned, by reference to the accompanying drawings the specific embodiment of invention is described; but be not limiting the scope of the invention; one of ordinary skill in the art should be understood that; on the basis of technical scheme of the present invention, those skilled in the art do not need to pay various modifications that creative work can make or distortion still in protection scope of the present invention.
Claims (8)
1. the Karst Tunnel gushing water perception early warning system based on Internet of Things, is characterized in that, comprises tunnel water inrush precursor multiple information aware platform layer, perception data Internet Transmission, storage and analysis layer and disaster grading forewarning system layer;
Described tunnel water inrush precursor multiple information aware platform layer utilizes sensing terminal image data and by the distributed access perception data of data Internet Transmission, storage and analysis layer, perception data Internet Transmission, storage and analysis layer receive the data of tunnel water inrush precursor multiple information aware platform layer transmission and are stored to Spatial Data Warehouse, utilize cloud computing service platform to carry out analyzing and processing to data, by disaster grading forewarning system layer, analysis result is issued to early warning and indicate.
2. a kind of Karst Tunnel gushing water perception early warning system based on Internet of Things as claimed in claim 1, is characterized in that, described sensing terminal comprises displacement transducer, temperature pick up, strain gauge and hydraulic pressure sensor.
3. a kind of Karst Tunnel gushing water perception early warning system based on Internet of Things as claimed in claim 1, it is characterized in that, the distributed access perception data of described data Internet Transmission, storage and analysis layer specifically adopt WiFi, Bluetooth, RFID, ZigBee and Ethernet.
4. a kind of Karst Tunnel gushing water perception early warning system based on Internet of Things as claimed in claim 1, it is characterized in that, described tunnel water inrush precursor multiple information aware platform layer utilizes wireless wide-area private network that data are sent to perception data Internet Transmission, storage and analysis layer.
5. a kind of Karst Tunnel gushing water perception early warning system based on Internet of Things as claimed in claim 2, it is characterized in that, described displacement transducer is fiber grating displacement sensor, strain gauge is optical fiber optical grating stress sensor, temperature pick up is fiber-optical grating temperature sensor, and hydraulic pressure sensor is fiber grating hydraulic pressure sensor.
6. a kind of Karst Tunnel gushing water perception early warning system based on Internet of Things as claimed in claim 1, is characterized in that, described disaster grading forewarning system layer comprises project management center and four look early warning distribution platforms.
7. the method for a kind of Karst Tunnel gushing water perception early warning system based on Internet of Things as claimed in claim 1, is characterized in that, comprising:
Tunnel water inrush precursor multiple information aware platform obtains multiple information data by sensing terminal, and multiple information data specifically comprise displacement, temperature, stress and hydraulic pressure; With WiFi, Bluetooth, RFID, ZigBee and Ethernet, sensing terminal is carried out to networking, realize many field information networking distributed monitoring;
By data transmission network, multiple information transfer of data to Spatial Data Warehouse is also stored, adopt cloud computing service platform to carry out the analysis of data, analysis result is sent to project management center in time, according to analysis result, in four look early warning distribution platform issue early warning, indicates.
8. the method for a kind of Karst Tunnel gushing water perception early warning system based on Internet of Things as claimed in claim 7, is characterized in that, the warning lamp of described four look early warning distribution platforms is comprised of blue, yellow, orange, red four look warning lamps.
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| 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 |
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| CN112610277A (en) * | 2020-12-08 | 2021-04-06 | 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 |
| CN114971238A (en) * | 2022-05-13 | 2022-08-30 | 中铁第四勘察设计院集团有限公司 | Integrated safety intelligent early warning system and method for operating subway station interval |
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