CN105066896A - Karst collapse real-time fiber early warning forecasting system - Google Patents
Karst collapse real-time fiber early warning forecasting system Download PDFInfo
- Publication number
- CN105066896A CN105066896A CN201510424536.0A CN201510424536A CN105066896A CN 105066896 A CN105066896 A CN 105066896A CN 201510424536 A CN201510424536 A CN 201510424536A CN 105066896 A CN105066896 A CN 105066896A
- Authority
- CN
- China
- Prior art keywords
- monitoring
- data
- real
- strain
- early warning
- 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.)
- Pending
Links
Abstract
The invention relates to a karst collapse real-time fiber early warning forecasting system comprising a plurality of monitoring lines, a monitoring early warning central computer, and a remote data connecting bridge. The plurality of monitoring lines are buried in a monitored area in a distributed manner and monitor the soil strain and the temperature change of areas where the monitoring lines are located. The monitoring early warning central computer is used for receiving real-time data information sent by the monitoring lines, computing the soil strain and the temperature change of the monitoring lines, establishing a real-time information database, and performing real-time early warning forecast in combination with landform strain data of surface collapse acquired from a physical collapse model test after computing critical landform strain values of the monitored lines. The remote data connecting bridge sends information monitored by the monitoring lines to the monitoring early warning central computer. The karst collapse real-time fiber early warning forecasting system extracts and analyzes the data of any monitoring line, stores the data of the monitoring lines in a database in a unified manner, manages various types of monitored data, manages, inputs, analyzes, and outputs the data in a unified manner, and accurately finds out a monitoring section close to critical data in combination with the critical data of the surface collapse acquired from the physical collapse model test in order to perform early warning forecast.
Description
[technical field]
The present invention relates to a kind of monitoring system, specifically a kind of Geological Hazards Monitoring early warning system and monitoring and pre-alarming method.
[background technology]
Karst ground subsidence is the geological hazards that the whole world extensively distributes, at present, both at home and abroad in Disasters of Karst Pitfall research, and the following several aspect of main emphasis: the prospecting technique of (1) karst collapse developmental condition; (2) karst collapse grow process, mechanism and critical condition research; (3) karst collapse basic database is built; (4) karst collapse danger forecasting and risk assessment; (5) dissolved rock cave in forecasting early warning.
The growth of karst collapse is due to the cyclic effects of the unevenness and karst water effect that are subject to karsts developing area, grow more complicated, what spatially have disguise, growth course has progressivity, subside has sudden feature, make monitoring face problems, be generally all difficult to forecast that monitoring is subsided by ground routine monitoring means.
The generation of karst collapse and formation are complicated processes, and control by many factors and affect, this brings larger difficulty to the control of subsiding.The Fashion and Evolution of surface collapse is the product that mankind's activity combines with operation of nature.The only control of sure karst ground subsidence and influence factor in karst ground subsidence preventing and controlling; hold the Crack cause of karst ground subsidence and development and change rule and Forming Mechanism; utilize the successful experience of existing control karst ground subsidence; effectively could prevent and treat the generation of surface collapse; reduce the loss that the geologic hazard of karst collapse brings, conscientiously the carrying out smoothly of protection people life property safety and engineering construction.
The monitoring method of karst collapse is summed up and can be divided into direct monitoring method and indirect monitoring method two class.Direct monitoring method is exactly the method that distortion by directly monitoring the underground soil body judges surface collapse, indirect monitoring method mainly monitors the dynamic change of aqueous vapor pressure in karst passage system, and this patent effectively realizes the monitoring and forecast warn to karst collapse by direct monitoring method just.
[content of the present invention]
The technical problem to be solved in the present invention overcomes above-mentioned defect, provides a kind of and utilize the distortion of the optical fiber real-time monitoring underground soil body to judge karst collapse early-warning and predicting system.
The real-time optical fiber early-warning and predicting system of a kind of karst collapse, it includes
Several monitor line, are embedded in area to be monitored in distribution state, the soil body strain of Real-Time Monitoring place monitoring line and temperature variation;
Monitoring and early warning central computer, for receiving the real time data information that described monitoring line sends, calculate soil body strain and temperature change value that gained respectively monitors line, set up real time information data storehouse, and the landform strain data of the surface collapse obtained in model test that subsides in conjunction with physics, after the critical landform strain value calculating monitoring line, carry out real-time warning;
Teledata connecting bridge, the information that monitoring line monitors is sent in monitoring and early warning central computer by it.
Optimally, described whole monitoring lines are embedded with Fibre Optical Sensor respectively.
Optimally, described Fibre Optical Sensor includes monitoring optical cable and communications optical cable.
Optimally, described monitoring optical cable is fibre strain temperature sensor.
Optimally, described communications optical cable is teledata connecting bridge.
Optimally, described monitoring and early warning central computer includes:
Communication module, for receiving the real time data information of described monitoring line transmission;
Data processing module, for carrying out data processing to received real time data information, calculates soil body strain value and temperature value that gained respectively monitors line;
Data statistics module, by each monitoring line soil body strain value of receiving and temperature value, sets up information database, generates data trend figure;
Map display module, the cartographic information in institute monitored area is corresponding with the cartographic information of each monitoring line;
Geofence module, the real time data information send the monitoring line received and default soil body critical strain values contrast, judge whether the real time data of monitoring line exceeds critical strain values, makes a prediction, send geo-hazard early-warning information simultaneously to the geologic hazard that will occur.
Owing to have employed technique scheme, compared with prior art, the present invention is by embedded light fiber sensor on the multiple monitoring lines in detected region, gather enforcement soil body strain information and the temperature information of monitoring line, Real-Time Monitoring is carried out to the soil deformation of karst fissure system, based on monitoring materials, information database is set up in monitoring and early warning central computer, generate data trend figure, and by comparing with the subside critical data of the surface collapse obtained in model test of physics, realize the monitoring to karst collapse and early warning.
[accompanying drawing explanation]
Fig. 1 is the connection diagram of present system;
Fig. 2 is overlying regions sensor fibre Strain Distribution general features of subsiding in physical experiments.
[embodiment]
The present invention is the real-time optical fiber early-warning and predicting system of a kind of karst collapse, and as shown in Figure 1, it includes
Several monitor line, are embedded in area to be monitored in distribution state, the soil body strain of Real-Time Monitoring place monitoring line and temperature variation; Described whole monitoring lines are embedded with Fibre Optical Sensor respectively.
Monitoring and early warning central computer, for receiving the real time data information that described monitoring line sends, calculate soil body strain and temperature change value that gained respectively monitors line, set up real time information data storehouse, and the landform strain data of the surface collapse obtained in model test that subsides in conjunction with physics, after the critical soil body strain value calculating monitoring line, carry out real-time warning;
Described monitoring and early warning central computer includes:
Communication module, for receiving the real time data information of described monitoring line transmission;
Data processing module, for carrying out data processing to received real time data information, calculating gained and respectively monitoring line soil body strain value and temperature value;
Data statistics module, by each monitoring line soil body strain value of receiving and temperature value, sets up information database, generates data trend figure;
Map display module, the cartographic information in institute monitored area is corresponding with the cartographic information of each monitoring line;
Geofence module, the real time data information send the monitoring line received and default soil body critical strain values contrast, judge whether the real time data of monitoring line exceeds critical strain values, makes a prediction, send geo-hazard early-warning information simultaneously to the geologic hazard that will occur.
Teledata connecting bridge, the information that monitoring line monitors is sent in monitoring and early warning central computer by it.
In the present invention, described Fibre Optical Sensor includes monitoring optical cable and communications optical cable, and wherein said monitoring optical cable is fibre strain temperature sensor, and described communications optical cable is teledata connecting bridge.
System of the present invention adopts data base administration, extraction and analysis is carried out by monitoring arbitrarily line data, unification is stored in a database, rationally, all kinds of Monitoring Data is managed efficiently, manage in a uniform manner, input, analyze, export these data, and the critical data of the surface collapse obtained in model test that subsides in conjunction with physics, the monitoring section close to critical data is accurately found out, to judge whether the soil body exists deformation failure and carry out early-warning and predicting to surface collapse.
Below in conjunction with this vapour pressure force snesor monitoring and warning forecast system, specifically illustrate the monitoring method of this early-warning and predicting system,
A, in detected region, choose multiple monitoring line, monitoring optical cable and communications optical cable is buried underground at monitoring line subsurface, monitoring optical cable realizes the monitoring to soil body strain and temperature variation in monitored line, and communication optical fiber will monitor the real-time Data Transmission of optical cable on monitoring and early warning central computer.The monitoring of monitoring optical cable was that interval is to monitoring and early warning central computer transmission data with 1 time/24 hours;
B, the Real-time Monitoring Data utilizing monitoring line to transmit, information database set up by described monitoring and early warning central computer, generates data trend figure;
The critical data of the surface collapse obtained in c, model test of real-time soil body strain data and the physics that presets being subsided is compared, judge whether the real time data of monitoring line exceeds critical value, the geologic hazard that will occur is made a prediction, sends geo-hazard early-warning information simultaneously.
The physics that karst caves in subsides model test:
Due to optical fiber sensing technology electromagnetism interference, electrical insulating property is good, chemical stability is strong and bandwidth, highly sensitive, be easy to realize the advantages such as remote monitoring, and there is the feature of unique distributed sensing, one-dimensional in application fiber geometries, using the function of tested parameter as fiber position length, on whole fiber lengths, continuous print measurement can be carried out to the external physical parameter along fiber geometries path profile, obtain the space distribution state of tested physical parameter and time dependent information simultaneously.
By physical experiments, the overall process that under indoor reproduction different condition, karst collapse is grown, sets up the relation of soil body sedimentation and deformation and fibre strain, reaches early-warning and predicting effect with this.
According to the analysis of physical experiments, some rule following can be obtained:
(1) when soil body sedimentation is less (being less than 1.5mm), fibre strain change is less, and the potential region optical fiber that subsides is extended state, and tensile strain amount is about 100 μ ε ~ 200 μ ε;
(2) when soil body sedimentation increases to 2mm ~ 3mm, fibre strain level of stretch increases, and maximum tension dependent variable can reach about 1000 μ ε;
(3) along with the further increase (being greater than 4mm) of soil body sedimentation, optical fiber changes compressive state into by extended state, and final Compression Settlement amount is about-1500 μ ε ~-2000 μ ε;
(4) from the form of fibre strain distribution, subside the initial stage, the optical fiber of the overlying regions that subsides is in stretching or mild compression state, subsides region boundary optical fiber then in compressive state or substantially constant; And further developing along with Study on Soil Collapse, the sensor fibre of the overlying regions that subsides is in compressive state, and the fibre strain of subside zone boundary and both sides is then in extended state.When soil body generation is subsided, the Strain Distribution of optical fiber has the general features shown in Fig. 2 usually.
Above embodiment is only in order to illustrate technical scheme of the present invention, be not intended to limit, although execute example with reference to previous examples to be described in detail this present invention, those of ordinary skill in the art is to be understood that, it is according to can modifying to the technical scheme that foregoing embodiments is recorded, or equivalent replacement is carried out to its portion of techniques feature, and these amendments or replacement, do not make the essence of appropriate technical solution depart from spirit and the category of this technical solution of the present invention.
Claims (6)
1. the real-time optical fiber early-warning and predicting system of karst collapse, it is characterized in that, it includes
Several monitor line, are embedded in area to be monitored in distribution state, the soil body strain of Real-Time Monitoring place monitoring line and temperature variation;
Monitoring and early warning central computer, for receiving the real time data information that described monitoring line sends, calculate soil body strain and temperature change value that gained respectively monitors line, set up real time information data storehouse, and the landform strain data of the surface collapse obtained in model test that subsides in conjunction with physics, after the critical landform strain value calculating monitoring line, carry out real-time warning;
Teledata connecting bridge, the information that monitoring line monitors is sent in monitoring and early warning central computer by it.
2. the real-time optical fiber early-warning and predicting system of a kind of karst collapse according to claim 1, is characterized in that, described whole monitoring lines are embedded with Fibre Optical Sensor respectively.
3. the real-time optical fiber early-warning and predicting system of a kind of karst collapse according to claim 2, is characterized in that, described Fibre Optical Sensor includes monitoring optical cable and communications optical cable.
4. a kind of vapour pressure force snesor monitoring and warning forecast system according to claim 3, it is characterized in that, described monitoring optical cable is fibre strain temperature sensor.
5. a kind of vapour pressure force snesor monitoring and warning forecast system according to claim 3, it is characterized in that, described communications optical cable is teledata connecting bridge.
6. a kind of vapour pressure force snesor monitoring and warning forecast system according to claim 1, it is characterized in that, described monitoring and early warning central computer includes:
Communication module, for receiving the real time data information of described monitoring line transmission;
Data processing module, for carrying out data processing to received real time data information, calculating gained and respectively monitoring line soil body strain value and temperature value;
Data statistics module, by each monitoring line soil body strain value of receiving and temperature value, sets up information database, generates data trend figure;
Map display module, the cartographic information in institute monitored area is corresponding with the cartographic information of each monitoring line;
Geofence module, the real time data information send the monitoring line received and default soil body critical strain values contrast, judge whether the real time data of monitoring line exceeds critical strain values, makes a prediction, send geo-hazard early-warning information simultaneously to the geologic hazard that will occur.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510424536.0A CN105066896A (en) | 2015-07-18 | 2015-07-18 | Karst collapse real-time fiber early warning forecasting system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510424536.0A CN105066896A (en) | 2015-07-18 | 2015-07-18 | Karst collapse real-time fiber early warning forecasting system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN105066896A true CN105066896A (en) | 2015-11-18 |
Family
ID=54496324
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510424536.0A Pending CN105066896A (en) | 2015-07-18 | 2015-07-18 | Karst collapse real-time fiber early warning forecasting system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105066896A (en) |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108241049A (en) * | 2017-12-29 | 2018-07-03 | 河海大学 | The simulation monitoring system and its application method of a kind of multiple depot surface collapse situation |
CN109024666A (en) * | 2018-09-11 | 2018-12-18 | 中铁磁浮交通投资建设有限公司 | A kind of fence net composite structure and construction method with prevention and treatment and early warning karst collapse |
CN109631772A (en) * | 2019-01-09 | 2019-04-16 | 河海大学 | Road surface based on OFDR Fibre Optical Sensor collapses warning monitoring system and method |
CN114034407A (en) * | 2021-10-29 | 2022-02-11 | 中国联合网络通信集团有限公司 | Optical cable tube well monitoring method and device and computer readable storage medium |
CN114413832A (en) * | 2021-12-02 | 2022-04-29 | 中国通信建设第三工程局有限公司 | Road monitoring system and method based on optical fiber sensing |
CN114413838A (en) * | 2022-01-25 | 2022-04-29 | 中煤航测遥感集团有限公司 | Goaf collapse area monitoring system, monitoring equipment, monitoring method and monitoring device |
CN115060329A (en) * | 2022-08-16 | 2022-09-16 | 山东省地质矿产勘查开发局八〇一水文地质工程地质大队(山东省地矿工程勘察院) | Karst collapse informatization prediction system based on digital twin algorithm |
CN115600513A (en) * | 2022-12-16 | 2023-01-13 | 山东省地质矿产勘查开发局八〇一水文地质工程地质大队(山东省地矿工程勘察院)(Cn) | Karst collapse monitoring early warning and prevention and control integrated informatization simulation studying and judging system |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070279632A1 (en) * | 2004-03-24 | 2007-12-06 | Philippe Delmas | Method for Locating and Measuring Deformations in a Work of Civil Engineering |
CN102997861A (en) * | 2012-11-28 | 2013-03-27 | 上海交通大学无锡研究院 | High-speed rail side-slope slide state real-time monitoring system based on distributed optical strain sensing |
CN103234519A (en) * | 2013-04-22 | 2013-08-07 | 重庆绿色智能技术研究院 | Land subsidence monitoring and early warning system based on global position system (GPS) and hydrostatic leveling |
CN103471517A (en) * | 2013-09-09 | 2013-12-25 | 中铁西北科学研究院有限公司深圳南方分院 | Method and device for automatic monitoring and early warning of slope safety |
CN204059120U (en) * | 2014-07-03 | 2014-12-31 | 中铁二院工程集团有限责任公司 | A kind of railway bed subsides real-time monitoring device |
CN204881545U (en) * | 2015-07-18 | 2015-12-16 | 深圳市勘察研究院有限公司 | Karst real -time optic fibre early warning forecast system that sinks |
-
2015
- 2015-07-18 CN CN201510424536.0A patent/CN105066896A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070279632A1 (en) * | 2004-03-24 | 2007-12-06 | Philippe Delmas | Method for Locating and Measuring Deformations in a Work of Civil Engineering |
CN102997861A (en) * | 2012-11-28 | 2013-03-27 | 上海交通大学无锡研究院 | High-speed rail side-slope slide state real-time monitoring system based on distributed optical strain sensing |
CN103234519A (en) * | 2013-04-22 | 2013-08-07 | 重庆绿色智能技术研究院 | Land subsidence monitoring and early warning system based on global position system (GPS) and hydrostatic leveling |
CN103471517A (en) * | 2013-09-09 | 2013-12-25 | 中铁西北科学研究院有限公司深圳南方分院 | Method and device for automatic monitoring and early warning of slope safety |
CN204059120U (en) * | 2014-07-03 | 2014-12-31 | 中铁二院工程集团有限责任公司 | A kind of railway bed subsides real-time monitoring device |
CN204881545U (en) * | 2015-07-18 | 2015-12-16 | 深圳市勘察研究院有限公司 | Karst real -time optic fibre early warning forecast system that sinks |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108241049A (en) * | 2017-12-29 | 2018-07-03 | 河海大学 | The simulation monitoring system and its application method of a kind of multiple depot surface collapse situation |
CN109024666A (en) * | 2018-09-11 | 2018-12-18 | 中铁磁浮交通投资建设有限公司 | A kind of fence net composite structure and construction method with prevention and treatment and early warning karst collapse |
CN109024666B (en) * | 2018-09-11 | 2024-03-15 | 中铁磁浮交通投资建设有限公司 | Wall network combined structure capable of preventing and warning karst collapse and construction method |
CN109631772A (en) * | 2019-01-09 | 2019-04-16 | 河海大学 | Road surface based on OFDR Fibre Optical Sensor collapses warning monitoring system and method |
CN114034407A (en) * | 2021-10-29 | 2022-02-11 | 中国联合网络通信集团有限公司 | Optical cable tube well monitoring method and device and computer readable storage medium |
CN114034407B (en) * | 2021-10-29 | 2023-07-14 | 中国联合网络通信集团有限公司 | Method and device for monitoring optical cable tube well and computer readable storage medium |
CN114413832A (en) * | 2021-12-02 | 2022-04-29 | 中国通信建设第三工程局有限公司 | Road monitoring system and method based on optical fiber sensing |
CN114413832B (en) * | 2021-12-02 | 2023-12-15 | 中国通信建设第三工程局有限公司 | Road monitoring system and method based on optical fiber sensing |
CN114413838A (en) * | 2022-01-25 | 2022-04-29 | 中煤航测遥感集团有限公司 | Goaf collapse area monitoring system, monitoring equipment, monitoring method and monitoring device |
CN115060329A (en) * | 2022-08-16 | 2022-09-16 | 山东省地质矿产勘查开发局八〇一水文地质工程地质大队(山东省地矿工程勘察院) | Karst collapse informatization prediction system based on digital twin algorithm |
CN115600513A (en) * | 2022-12-16 | 2023-01-13 | 山东省地质矿产勘查开发局八〇一水文地质工程地质大队(山东省地矿工程勘察院)(Cn) | Karst collapse monitoring early warning and prevention and control integrated informatization simulation studying and judging system |
CN115600513B (en) * | 2022-12-16 | 2023-08-04 | 山东省地质矿产勘查开发局八〇一水文地质工程地质大队(山东省地矿工程勘察院) | Karst collapse monitoring early warning and prevention and control integrated informationized simulation research and judgment system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105066896A (en) | Karst collapse real-time fiber early warning forecasting system | |
CN103362553B (en) | Coal mine underground safety comprehensive monitoring system based on fiber grating sensors | |
CN110912605B (en) | Safety monitoring and early warning device and method for optical cable or photoelectric composite cable | |
CN203809051U (en) | Fiber bragg grating based safety monitoring system for mine tunnel | |
CN201946080U (en) | Optical fiber sensing perimeter intrusion alarm system | |
CN105089701A (en) | Operation tunnel health monitoring and early warning system and method based on distributed optical fiber sensing | |
CN103528613B (en) | Underground major hazard of coal mine Internet of Things dynamic monitoring method for early warning | |
CN104655101A (en) | High-precision lead type whole-section slope stability monitoring pre-alarming system and monitoring method thereof | |
CN108914910A (en) | It is a kind of based on internet+intelligent automation deep basal pit water level monitoring and coordinated control system | |
CN204881545U (en) | Karst real -time optic fibre early warning forecast system that sinks | |
CN110121053A (en) | A kind of video monitoring method of situ of drilling well risk stratification early warning | |
CN103900486B (en) | Protection network monitoring system | |
CN104816742A (en) | Train operation disaster early warning and monitoring system | |
CN114842603A (en) | High tension cable prevents outer broken monitoring and early warning system | |
CN103852304A (en) | Method for recognizing damaged cables, loads and linear displacement based on cable force monitoring | |
CN103913338A (en) | Hybrid monitoring defective cable load generalized displacement identification method | |
CN103163148B (en) | A kind of drag-line method for detecting broken wire and system | |
CN103835755B (en) | A kind of coal mine tunnel top board disaster monitoring method | |
CN103852289A (en) | Problem cable load generalized displacement recognition method based on space coordinate monitoring | |
CN113514000A (en) | Method for monitoring deformation of steel plate vertical shaft wall | |
CN105448014B (en) | Comprehensive wiring method and attack early warning method based on enclosure wall perimeter security system | |
CN103852327A (en) | Method for recognizing damaged cables, loads and generalized displacement based on cable force monitoring | |
CN104018883B (en) | A kind of on-line/off-line coal-bed gas pressure monitoring analysis system | |
CN204154422U (en) | A kind of stress monitoring system for the early warning of anchoring type slope geological | |
CN206091565U (en) | A rail device for distributed optical fiber intrusion detection system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20151118 |