CN110188126A - A method of tunnel safety monitoring and warning value is dynamically determined using big data realization - Google Patents
A method of tunnel safety monitoring and warning value is dynamically determined using big data realization Download PDFInfo
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- CN110188126A CN110188126A CN201910422018.3A CN201910422018A CN110188126A CN 110188126 A CN110188126 A CN 110188126A CN 201910422018 A CN201910422018 A CN 201910422018A CN 110188126 A CN110188126 A CN 110188126A
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- tunnel
- warning value
- sample
- monitoring
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Classifications
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F17/00—Methods or devices for use in mines or tunnels, not covered elsewhere
- E21F17/18—Special adaptations of signalling or alarm devices
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The present invention discloses a kind of method realized using big data and be dynamically determined tunnel safety monitoring and warning value, collects the relevant information of current construction tunnel；Current construction tunnel relevant information is compared with database；The deflection of the Tunnel testing of multiple samples is represented into abscissa, by monitoring section quantity representative ordinate of the deflection of multiple samples within the scope of each 0.5mm of x or so, is taken as y；Obtain distributional pattern figure；Δ 1 is calculated, using Δ 1 as warning value, when deformation reaches warning value, it should be noted that safety, but need not stop work；Given risk probability P1, calculates Δ 2, using Δ 2 as alarming value, when being deformed to Δ 2, issues security alarm automatically, tunnel stops construction.The present invention can reach according to data similar in database, is dynamically determined safety for tunnel engineering monitoring and warning value and alarming value, avoids delaying the duration, ensures the beneficial effect of safety for tunnel engineering.
Description
Technical field
It is the invention belongs to tunnel safety technical field, in particular to a kind of to be dynamically determined tunnel safety using big data realization
The method of monitoring and warning value.
Background technique
The construction of drilling and blasting method mountain tunnel is the very high work of security risk, is very easy to that cave in accident occurs.If tunnel
Cave in accident occurs, gently then causes economic loss, construction delay, it is heavy then lead to personnel casualty accidents.
In order to prevent Tunnel Landslide, the various losses of bring after Tunnel Landslide are reduced, safety for tunnel engineering monitoring is to guarantee
The important measures of safety for tunnel engineering, extensive (100%) uses in constructing tunnel.
Safety for tunnel engineering monitoring refers to that, using instrument and equipment (such as level), the deformation for monitoring tunnel structure is (main
It is vault sinking, perimeter convergence), after tunnel structure deformation (or rate of deformation) is more than certain numerical value, system issues peace
Full alarm.
How rationally to determine safety for tunnel engineering monitoring and warning value, is a technical problem.Current way is that design is single
Position determines a specific numerical value according to the engineering experience of specification and designer oneself.Unit in charge of construction executes like this.
The safety of constructing tunnel, there are many influence factor, a fixed monitoring and warning value, it is difficult to the accurate peace for determining tunnel
Total state.In order to ensure construction safety, it is often less than normal to design preset early warning value.Thus cause frequently to trigger when constructing tunnel pre-
It is alert, it generates two negative consequences: 1. paying attention to the unit of early-warning and predicting, encountering early warning will stop work, and invite design, management, owner
Each side diagnoses tunnel safety state jointly, goes into operation again after judging safety, the result is that delaying the duration, (and Tunnel Engineering stops work this
Body also brings security risk)；2. to the unit that early-warning and predicting thinks little of, frequent prediction occurring and Practical Project does not have security risk
Afterwards, absent-mindedness can be generated over time, no longer concern early warning.Really there is unsafe condition to tunnel, monitoring system issues early warning
After alarm, unit in charge of construction is ignored, and structure leads to that Tunnel Landslide accident occurs.
The early warning value provided under individual cases is bigger than normal, and Tunnel testing system not yet early warning, tunnel occurs as soon as cave in accident, this
It is just more dangerous.
Summary of the invention
The present invention for the technical problems in the prior art, is provided a kind of realized using big data and is dynamically determined tunnel
The method of safety monitoring early warning value can reach and rationally determine safety for tunnel engineering monitoring and warning value, avoids delaying the duration, ensure tunnel
The beneficial effect of road construction safety.
In order to solve the above technical problems, the technical solution adopted by the present invention is that: it is a kind of to be dynamically determined using big data realization
The method of tunnel safety monitoring and warning value, comprising the following steps:
(1) relevant information of current construction tunnel is collected, and is stored in database.Information in database includes " similar letter
Breath " and " monitoring information " two major classes；
(2) from database " analog information ", one or more screening conditions are set；
(3) by the construction relevant information of current tunnel obtained in step (1), according to the screening item set in step (2)
Part is compared with database, obtains the similar n sample of condition；
(4) deflection of the Tunnel testing of acquired n sample is represented into abscissa, is taken as x；The unit of x takes with precision
The integer of millimeter；By the vertical seat of monitoring section quantity representative of the deflection of acquired n sample within the scope of each 0.5mm of x or so
Mark, is taken as y；Distributional pattern figure is obtained, form meets normal distribution law, matched curve function are as follows:
Two of them key parameter calculation formula are as follows:
(5) Δ 1=μ is taken, is represented under same condition of similarity, the average deformation value of tunnel cross-section；Using Δ 1 as early warning value；
When deformation reaches early warning value, to arouse attention in safety, but still can normal construction, it is not necessary to it stops work；
(6) risk probability P is inputted1=Pi, wherein i ∈ (- ∞, Δ 2)；
(7) basisAcquire Δ 2；Using Δ 2 as alarming value；It is when deformation reaches Δ 2, then automatic to send out
Security alarm out, tunnel need to stop construction and be assessed.
Preferably, being filtered out and the approximate sample of monitoring section according to the condition of similarity in database.
Preferably, screening n sample from database in step (3), the coordinate of each sample is denoted as xi,yi；Its
Middle x is the deformation values of sample, and precision takes the integer of millimeter；Y is monitoring of the deflection of sample within the scope of each 0.5mm of x or so
Section quantity.
Preferably, tunnel can be calculated according to sample obtained in step (3) and the risk probability P1 of step (6)
The early warning value Δ 1 and alarming value Δ 2 of road safety monitoring during construction.
Preferably, according to Δ 1 and Δ 2 that step (5) and step (7) obtain, be with the variation of sample in database and
Dynamic change.
Compared with prior art, the present invention has the beneficial effects that the present invention rationally determines safety for tunnel engineering prison
Early warning value is surveyed, avoids delaying the duration, ensures safety for tunnel engineering.
Detailed description of the invention
Fig. 1 is deflection and section quantitative relation schematic diagram of the invention；
Fig. 2 is early warning value schematic diagram of the invention.
Specific embodiment
Technical solution in order to enable those skilled in the art to better understand the present invention, in the following with reference to the drawings and specific embodiments
It elaborates to the present invention.
Embodiment of the invention discloses a kind of sides that tunnel safety monitoring and warning value is dynamically determined using big data realization
Method, by taking the monitoring section of the elder brother's railway Yunnan Section that changes tunnel main track DK558+300 mileage section to be mended as an example comprising following step
It is rapid:
(1) the tunnel main track DK558+300 cross-section monitoring information (vault sinking, perimeter convergence) to be mended for monitoring the same day,
It is denoted as Δ, input database；Specifically it is shown in Table 1；
(2) " Chongqing elder brother's line ", " Yunnan Province ", " basalt ", " three steps ", " IV grade of country rock ", " wide face width 14.2m " is taken to make
For condition of similarity.
(3) risk probability P1=0.75 is taken to input as input condition；
(4) it by the database in step (1), is screened according to condition of similarity, chooses the number with same condition of similarity
According to as sample, the similar n sample of condition is obtained；
(5) deflection of the Tunnel testing of n sample is represented into abscissa, is taken as x, the unit of x takes mm, and precision takes millimeter
Integer；By sample deformation amount in the monitoring section quantity representative ordinate of x (each 0.5mm range in left and right), it is taken as y；Divided
Cloth aspect graph, it is contemplated that its form meets normal distribution law, matched curve function are as follows:
(6) the desired value μ for taking Δ 1=function, represents under same condition of similarity, the average deformation value of tunnel cross-section；With Δ 1
As early warning value；
(7) basisAcquire Δ 2.Using Δ 2 as early warning value；
(8) the cross section deformation amount Δ that system automatically measures step (1) is compared with Δ 1 and Δ 2；Tunnel is thought when Δ < Δ 1
Road safety, can be with normal construction；It can still construct, but aroused attention when 1 < Δ of Δ < Δ 2 in safety；When 2≤Δ of Δ
When, system issues safety alarm automatically.Unit in charge of construction should stop work at once, take necessary safe disposal to drop back tunnel tunnel face
Construction personnel out, and owner, management and designer is notified to show up as early as possible, examine whether to need to take reinforcement measure.
As shown, abscissa draws a vertical line when being Δ 2, meaning of the Δ 2 in Probability is illustrated with this, it may be assumed that line
With the left area/gross area=P1.This line is also significant in engineering simultaneously, can intuitively reflect, identified report
Alarm probability P1Safe coefficient.Line is more kept right, and illustrates P1Bigger, degree of safety is lower.P1Value range suggestion takes 0.65~0.85.
P1Engineering significance be to have P1The sample deformation value of probability (taking 75% herein) is less than Δ 2, and also representing still has 1-P1
The deformation values of the sample of=(25%) are greater than Δ 2, and tunnel cross-section is also safe at this time, but has been closer to the pole of sample
Limit.
The combination that a variety of different condition of similarity can also be chosen, calculates multiple and different warning values, to fully understand
The safe range of tunnel deformation.
Following table is that the database in the application collects information summary sheet, table 1
It is described the invention in detail above by embodiment, but the content is only exemplary implementation of the invention
Example, should not be considered as limiting the scope of the invention.Protection scope of the present invention is defined by the claims.All utilizations
Technical solutions according to the invention or those skilled in the art are under the inspiration of technical solution of the present invention, in reality of the invention
In matter and protection scope, designs similar technical solution and reach above-mentioned technical effect, or to made by application range
All the changes and improvements etc. should still belong to patent of the invention and cover within protection scope.It should be noted that in order to clear
It is stated, part and protection scope of the present invention is omitted in explanation of the invention without being directly significantly associated with but this field skill
The statement of component known to art personnel and processing.
Claims (5)
1. a kind of realize the method for being dynamically determined tunnel safety monitoring and warning value using big data, which is characterized in that including following
Step:
(1) relevant information of current construction tunnel is collected, and is stored in database；Information in database include " analog information " and
" monitoring information " two major classes；
(2) from database " analog information ", one or more screening conditions are set；
(3) current tunnel obtained in step (1) is constructed relevant information, according to the screening conditions set in step (2), with
Database compares, and obtains the similar n sample of condition；
(4) deflection of the Tunnel testing of acquired n sample is represented into abscissa, is taken as x；The unit and precision of x takes millimeter
Integer；By monitoring section quantity representative ordinate of the deflection of acquired n sample within the scope of each 0.5mm of x or so, take
For y；Distributional pattern figure is obtained, form meets normal distribution law, matched curve function are as follows:
Two of them key parameter calculation formula are as follows:
(5) Δ 1=μ is taken, is represented under same condition of similarity, the average deformation value of tunnel cross-section；Using Δ 1 as early warning value；Work as change
When shape reaches early warning value, to arouse attention in safety, but still can normal construction, it is not necessary to it stops work；
(6) risk probability P is inputted1=Pi, wherein i ∈ (- ∞, Δ 2)；
(7) basisAcquire Δ 2；Using Δ 2 as alarming value；It is when deformation reaches Δ 2, then automatic to issue safety
Alarm, tunnel need to stop construction and be assessed.
2. a kind of method for being dynamically determined tunnel safety monitoring and warning value using big data realization according to claim 1,
It is characterized in that, being filtered out and the approximate sample of monitoring section according to the condition of similarity in database.
3. a kind of method for being dynamically determined tunnel safety monitoring and warning value using big data realization according to claim 1,
It is characterized in that, step (3), can screen n sample from database, the coordinate of each sample is denoted as xi,yi；Wherein x is
The deformation values of sample, precision take the integer of millimeter；Y is monitoring section number of the deflection of sample within the scope of each 0.5mm of x or so
Amount.
4. a kind of method for being dynamically determined tunnel safety monitoring and warning value using big data realization according to claim 1,
It is characterized in that, constructing tunnel can be calculated according to sample obtained in step (3) and the risk probability P1 of step (6)
The early warning value Δ 1 and alarming value Δ 2 of safety monitoring.
5. a kind of method for being dynamically determined tunnel safety monitoring and warning value using big data realization according to claim 1,
It is characterized in that, according to Δ 1 and Δ 2 that step (5) and step (7) obtain dynamically being become with the variation of sample in database
Change.
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| CN201910422018.3A CN110188126B (en) | 2019-05-21 | 2019-05-21 | Method for dynamically determining tunnel safety monitoring and early warning value by utilizing big data |
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| CN110188126A true CN110188126A (en) | 2019-08-30 |
| CN110188126B CN110188126B (en) | 2023-06-02 |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111580098A (en) * | 2020-04-29 | 2020-08-25 | 深圳大学 | Bridge deformation monitoring method, terminal and storage medium |
| CN112307089A (en) * | 2020-11-03 | 2021-02-02 | 中铁隆工程集团有限公司 | Detection method and system applied to construction data |
| CN113958369A (en) * | 2021-11-10 | 2022-01-21 | 重庆科技学院 | Tunnel lining structure health monitoring method and system based on digital twinning |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102587986A (en) * | 2012-03-12 | 2012-07-18 | 西安建筑科技大学 | Tunnel construction informatization dynamic monitoring system and monitoring method thereof |
| CN105095679A (en) * | 2015-09-10 | 2015-11-25 | 北京安捷工程咨询有限公司 | Security risk early warning measurement and judgment method of foundation pit tunnel engineering |
-
2019
- 2019-05-21 CN CN201910422018.3A patent/CN110188126B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102587986A (en) * | 2012-03-12 | 2012-07-18 | 西安建筑科技大学 | Tunnel construction informatization dynamic monitoring system and monitoring method thereof |
| CN105095679A (en) * | 2015-09-10 | 2015-11-25 | 北京安捷工程咨询有限公司 | Security risk early warning measurement and judgment method of foundation pit tunnel engineering |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111580098A (en) * | 2020-04-29 | 2020-08-25 | 深圳大学 | Bridge deformation monitoring method, terminal and storage medium |
| CN111580098B (en) * | 2020-04-29 | 2021-07-06 | 深圳大学 | Bridge deformation monitoring method, terminal and storage medium |
| CN112307089A (en) * | 2020-11-03 | 2021-02-02 | 中铁隆工程集团有限公司 | Detection method and system applied to construction data |
| CN112307089B (en) * | 2020-11-03 | 2024-02-09 | 中铁隆工程集团有限公司 | Detection method and system applied to construction data |
| CN113958369A (en) * | 2021-11-10 | 2022-01-21 | 重庆科技学院 | Tunnel lining structure health monitoring method and system based on digital twinning |
| CN113958369B (en) * | 2021-11-10 | 2023-10-20 | 重庆科技学院 | Tunnel lining structure health monitoring method and system based on digital twinning |
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| CN110188126B (en) | 2023-06-02 |
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