CN109931109A - A kind of constructing tunnel dynamic landslide safety comprehensive method for early warning based on multivariate data - Google Patents
A kind of constructing tunnel dynamic landslide safety comprehensive method for early warning based on multivariate data Download PDFInfo
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Abstract
The constructing tunnel dynamic landslide safety comprehensive method for early warning of multivariate data, it constructs constructing tunnel dynamic landslide engineering data base by collecting data, and according to the dynamic parameter of constructing tunnel dynamic landslide engineering data base, construction risk identification is carried out using multivariate data and the cell data in multivariate data is analyzed respectively, judges its risk class；It is merged further according to property arranged side by side, the relevance of multivariate data, obtain construction dynamic landslide safety comprehensive Alarm Assessment information, comprehensive pre-warning evaluation information is informed to construction personnel and monitoring personnel finally by prompt and exhibition method, perfect pre-alarming system is provided for Tunnel Landslide safe early warning, and Real-Time Sharing process, staff is facilitated to construct and monitor, reliability and highly-safe, economic and practical is strong.
Description
Technical field
The constructing tunnel dynamic landslide safety comprehensive method for early warning that the present invention relates to a kind of based on multivariate data, belongs to tunnel
Construction safety monitoring technology field.
Background technique
With the rapid development of tunnel construction, safety for tunnel engineering more and more attention has been paid to.It is presented in New Austrian Tunneling Method pervious
In a very long time, many tunnels are all to rely on the case constructed in the past and start building.Because the particularity of Tunnel Engineering, collapses
Square disaster scenarios it can not all be predicted before not excavating, this has just caused such engineering only to plan with the experience started building in the past
Or start building there must be some blindness.After New Austrian Tunneling Method appearance, it may be implemented to monitor in time, i.e., in tunnel piercing
Meanwhile collected country rock information is put into the design that it is constantly changed always and the scope started building, it greatly enhances
Safety for tunnel engineering.But there is not a set of dynamic landslide safety comprehensive early warning for being fully able to consider multivariate data also at present
System, existing system is single and excessively relies on monitoring measurement, causes disaster special project monitoring and warning and monitoring measurement early warning to work and divides
Blur boundary.It is general to continue to carry out hazard forecasting with monitoring measurement after finding disaster by monitoring measurement in Practical Project
It is alert, do not go to be monitored early warning to disaster from disaster body objective reality situation.
Summary of the invention
The constructing tunnel dynamic based on multivariate data that the technical problem to be solved in the present invention is to provide a kind of is caved in safe comprehensive
Method for early warning is closed, it can be with overcome the deficiencies in the prior art.
In order to solve the above technical problems, the present invention is achieved by the following technical solutions: a kind of based on multivariate data
Constructing tunnel dynamic landslide safety comprehensive method for early warning comprising following steps:
S1, data, building constructing tunnel dynamic landslide engineering data base are collected；
Including passing through the basic information before prospecting, design and construction documents collection constructing tunnel, and collection constructing tunnel
In multidate information；
S2, risk identification；
According to the dynamic parameter of constructing tunnel dynamic landslide engineering data base, construction risk knowledge is carried out using multivariate data
Not, the multivariate data include the geologic risk early warning before construction and the geologic risk early warning in construction, it is advanced prediction early warning, preceding
Million information early warnings and monitoring information early warning；
S3, cell data analysis；
Geology Risk-warning, advanced prediction early warning, precursor information early warning and the information of monitoring information early warning are carried out respectively
Cell data analysis, and judge its risk class；
S4, multivariate data fusion obtain construction dynamic landslide safety comprehensive Alarm Assessment information；
It is merged according to property arranged side by side, the relevance of multivariate data, the overall level of risk before obtaining constructing tunnel, and
The synthesis possibility grade and combined chance Size estimation to cave in construction；
S5, result publication, Real-Time Sharing early warning process；
Construction dynamic landslide safety comprehensive Alarm Assessment information is prompted to carry out with exhibition method by terminal device pre-
It is alert.
In abovementioned steps s1, combines phospecting apparatus to carry out master-plan, overall prospecting by construction personnel, collect tunnel and apply
Basic information before work；In the construction process, section, section prospecting and real-time monitoring are carried out, the dynamic in constructing tunnel is collected
Information.
In abovementioned steps s2, the geologic risk early warning, advanced prediction early warning, precursor information early warning data pass through section
It is managed with section information；Monitoring information warning data is managed and is issued by section information.
Aforementioned geologic risk early warning includes safety evaluation before risk assessment, construction before constructing, safety evaluation in construction, wherein
Risk assessment before construction includes overall risk and special risk, is assessed all in accordance with scoring；Safety evaluation before constructing
Tunnel Landslide venture influence Factor Weight delimited all in accordance with analytic hierarchy process (AHP) with safety evaluation in construction, then constructs fuzzy evaluation square
Battle array is assessed；
The advanced prediction early warning is according to the advance geologic prediction in the constructing tunnel dynamic landslide engineering data base
As a result, obtaining the Size estimation and possibility grade for the disaster that may cave in；
The precursor information early warning is to be characterized according to the Tunnel Landslide omen observed during monitoring measurement, and artificial provides
Grade of caving in and landslide result；
The monitoring information early warning includes monitoring measurement early warning and special monitoring and warning, monitors tunnel according to measuring instrument
Section geological information exports early warning threshold values, judges and export warning grade.
In abovementioned steps s3, cell data analysis include the processing of unit internal monitoring point data, data regression,
Data and threshold value comparison judge that wherein linear regression time point is advanced, then prediction result is not included in multivariate data fusion.
In the analysis of foregoing units data,
Geologic risk early warning: risk is untreated or ignores and is maximized, and should reappraise after risk processing, take and reappraise
Value afterwards always exists and participates in dynamic monitoring assessment；
Advanced prediction early warning: when secondary evaluation is maximized, risk, which does not handle to always exist, participates in dynamic monitoring assessment, area
It needs to reappraise risk after Duan Guantong；
Precursor information early warning: when secondary evaluation is maximized, precursor information early warning item can artificially judge maximum value, precursor information
Early warning result only retain very short time section, the period be 1~7 day or segment perforation after eliminate；
Monitoring measurement early warning, special monitoring and warning: when secondary evaluation is maximized, next data arrival continues to evaluate, when
More than a day when data, a plurality of data evaluation result maximum value is taken to participate in dynamic evaluation.
In abovementioned steps s4, when multivariate data merges, identical section is merged when evaluating with identical section information, section
It is merged when comprising section evaluation with the inclusion relation that section finds section, information is not full-time based on independent section, finally
With monitoring section management export comprehensive pre-warning grade.
When aforementioned multivariate data merges, overall risk assessment result is without fusion；
Before construction, special risk assessment and construction safety evaluation result take the larger value as comprehensive pre-warning result；
In construction, special risk assessment and construction safety evaluation result take the larger value to participate in dynamic comprehensive monitoring and warning；?
In the presence of advance geologic prediction, precursor information, monitoring measurement, special monitoring all, precursor information priority is highest；When system not
When using precursor information, integrated level is that multivariate data grade relatively takes large values.
Evaluated before construction landslide risk less than III grade when, do not do special monitoring and warning, by monitoring measurement warning information with
Other multivariate data information fusions carry out monitoring and warning.
With red, orange, yellow, blue calibration, red represents landslide can for the analysis of foregoing units data and multivariate data fusion conclusion
Can property degree or landslide IV grade of possible size intensity grade highest, it is orange represent high III grade, yellow represent in II grade, blue
Represent low I grade.
Compared with the prior art, the constructing tunnel dynamic landslide safety comprehensive that the invention discloses a kind of based on multivariate data
Method for early warning constructs constructing tunnel dynamic landslide engineering data base by collecting data, and is caved according to constructing tunnel dynamic
The dynamic parameter of engineering data base carries out construction risk identification using multivariate data and distinguishes the cell data in multivariate data
It is analyzed, judges its risk class；It is merged further according to property arranged side by side, the relevance of multivariate data, obtains construction dynamic and collapse
Square safety comprehensive Alarm Assessment information informs comprehensive pre-warning evaluation information to construction personnel finally by prompt and exhibition method
And monitoring personnel, perfect pre-alarming system is provided for Tunnel Landslide safe early warning.
The invention enables Tunnel Excavation Monitoring early warning digitlizations, pre- to overall risk, the special risk before constructing tunnel
Various warning information and monitoring information in warning information and constructing are merged, the construction dynamic landslide safety comprehensive to improve
Alarm Assessment information, and Real-Time Sharing process, facilitate staff to construct and monitor, construction efficiency height, reliability and peace
Quan Xinggao.
In addition, carrying out construction risk identification using multivariate data, overcomes in existing tunnel construction and monitoring measurement is used only
Bring is insufficient, is analyzed according to multivariate data, can choose in constructing tunnel using monitoring measurement early warning or special prison
Survey early warning or carry out two kinds of monitoring and warnings simultaneously, a large amount of man power and materials can be saved with reasonable distribution monitoring resource, convenience and
Flexibility is high, and economic and practical is strong.
Detailed description of the invention
Fig. 1 is general flow chart of the invention.
Fig. 2 is the flow chart of multivariate data analysis of the present invention.
Fig. 3 is the flow chart of multivariate data fusion of the present invention.
Fig. 4 is the flow chart of geologic risk early warning analysis of the present invention.
Fig. 5 is the flow chart of monitoring information early warning analysis of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description:
As shown in fig. 1~fig. 5, a kind of constructing tunnel dynamic landslide safety comprehensive method for early warning based on multivariate data, it
The following steps are included:
S1, data, building constructing tunnel dynamic landslide engineering data base are collected；
Including passing through the basic information before prospecting, design and construction documents collection constructing tunnel, and collection constructing tunnel
In multidate information；
S2, risk identification, the risk identification include evaluating in the preceding assessment of construction and construction；
According to the dynamic parameter of constructing tunnel dynamic landslide engineering data base, construction risk knowledge is carried out using multivariate data
Not, the multivariate data includes the geologic risk early warning before construction；Evaluation is pre- including geologic risk early warning, advanced prediction in construction
Alert, precursor information early warning and monitoring information early warning；
S3, cell data analysis；
Geology Risk-warning, advanced prediction early warning, precursor information early warning and the information of monitoring information early warning are carried out respectively
Cell data analysis, judges its risk class；
S4, multivariate data fusion obtain construction dynamic landslide safety comprehensive Alarm Assessment information；
It is merged according to property arranged side by side, the relevance of multivariate data, the overall level of risk before obtaining constructing tunnel, and
The synthesis possibility grade and combined chance Size estimation to cave in construction；
S5, result publication, Real-Time Sharing early warning process；
Construction dynamic landslide safety comprehensive Alarm Assessment information is showed into construction personnel, administrative staff by terminal device
And monitoring personnel.
In step s1, phospecting apparatus is combined to carry out master-plan, overall prospecting by construction personnel, before collecting constructing tunnel
Basic information；In the construction process, section, section prospecting and real-time monitoring are carried out, the multidate information in constructing tunnel is collected.
In step s2, integrating tunnel construction before basic information, carry out preceding risk identification of constructing；In integrating tunnel construction
Multidate information carries out construction risk identification.
In the risk identification, geologic risk early warning, advanced prediction early warning, precursor information early warning data by section and
Section information is managed, and monitoring information early warning result is managed and is issued by section information.
The geologic risk early warning includes safety evaluation before constructing preceding risk assessment, construction, safety evaluation in construction.It is described
The data source of geologic risk early warning is in prospecting, design, construction documents, wherein prospecting sets to survey file in detail, being designed as construction drawing
Count file, construction is Design of Construction Organization file.
Risk assessment before the geologic risk early warning construction includes overall risk and special risk, and the two is all in accordance with marking
Method is assessed；Risk assessment obtains the overall level of risk (I~IV) of constructing tunnel and the special risk class that caves in front of constructing
(I~IV).
Shown in the assessment data target table specific as follows of shown overall risk:
The overall risk size calculation formula are as follows:
R=G (A+L+S+C),
Wherein, G refers to tunnel, vertical shaft, the assigned score value of geology around inclined shaft route；The excavated section of A index standard is assigned point
Value；The assigned score value of length that L refers to tunnel population to outlet (exists tunnel shaft, inclined shaft length computation when calculating length of tunnel
It is interior)；S refers to that the tunnel as channel goes out the assigned score value of form of population；C refers to the assigned score value of tunnel portal orographic condition.
Overall risk assessment before the construction is according to " highway bridge and tunnel construction security risk assessment guide
(tentative) " in the scoring criterion interval probability value being assessed, and be subordinate to according to the range of assessment result divide opinion rating
(I~IV) finally obtains assessment result according to opinion rating table, and assessment result is with red, orange, yellow, blue calibration, overall risk etc.
Grade are as follows: red represent high risk (IV), it is orange represent high risk (III), yellow represents moderate risk (II), blue represent
Low risk (I) is as shown in the table:
The assessment packet of the special project risk includes cave-in accident possibility evaluation index and safety management evaluation index；Institute
It states shown in cave-in accident possibility evaluation index table specific as follows:
Cave-in accident possibility evaluation index
Shown in the safety management evaluation index table specific as follows:
The calculation formula of the special project risk are as follows:
P=γ (C × A+B+D+E+F),
Wherein, γ is reduction coefficient, and evaluation index score value is calculated by formula M=a+b+c+d+e+f+g+h, and
According to the reduction coefficient table of comparisons, γ value that you can get it.
The reduction coefficient table of comparisons
| Calculate score value M | Reduction coefficient γ |
| M > 12 | 1.2 |
| 9≤M≤12 | 1.1 |
| 6≤M≤8 | 1 |
| 3≤M≤5 | 0.9 |
| 0≤M≤2 | 0.8 |
Appraisal procedure: using the calculating score value P of the special risk come grade, seriousness a possibility that assessing cave in accident
Grade and special risk class, divide opinion rating is IV~I grades all in accordance with severity from high to low, and with it is red, orange, yellow,
Indigo plant calibration, as shown in the table:
The safety evaluation of safety evaluation before the geologic risk early warning construction and in construction is drawn all in accordance with analytic hierarchy process (AHP)
Determine Tunnel Landslide venture influence Factor Weight, then constructs fuzzy evaluating matrix and assessed；Safety before construction and in construction is commented
Valence is evaluated using fault belt landslide and the landslide of non-fault belt is divided；It is obtained before construction with safety evaluation in construction
A possibility that constructing tunnel may cave in risk class (I~IV) and probability Size estimation (I~IV).
Evaluation procedure is as follows: (it is the prior art, is not described in detail herein.)
The first step determines index system, as shown in the table:
Fault belt landslide -- overall assessment index and grade classification
Non- fault belt landslide -- overall assessment index and grade classification
Second step, the weight that I and II index system is determined according to the index system in step 1, with reference to as follows:
Fault belt landslide -- overall assessment index weights
Non- fault belt landslide -- overall assessment index weights
Third step, the degree of membership and subordinated-degree matrix for determining index,
According to the evaluation index in step 2, obtained with reference to evaluation index and opinion rating relation table in conjunction with subordinating degree function
Factor of evaluation index out:
Evaluation index and opinion rating relationship
Finally according to landslide overall assessment membership function calculation formula, factor of evaluation μ is calculated separately out1, μ2, μ3, μ4Point
Value.
The landslide overall assessment membership function calculation formula is as follows:
1. working as aK, 1< aK, 3When:
2. working as aK, 1> aK, 3When:
4th step calculates fuzzy vector
Factor of evaluation μ is given respectively according to above-mentioned subordinating degree function1, μ2, μ3, μ4Be assigned to score value 1,2,3,4, obtain obscuring to
Measure F:
5th step, deciding grade and level
Through calculated fuzzy vector F compared with following table, a possibility that caving in grade (step of Size estimation evaluation is obtained
Suddenly it is identical with this).
The probability levels of tunnel disaster are obtained according to evaluation of estimate F
The landslide possibility grade and landslide for dividing preceding and in construction the safety evaluation of the geologic risk early warning construction are advised
Mould grade, and with red, orange, yellow, blue calibration:
Tunnel Landslide safe early warning classification standard
The assessment information index of the advanced prediction early warning be advance geologic prediction as a result, its combine related specifications regulation and
Related data, provided using engineering analog method, experience method, quantitative analysis method etc. the disaster that may cave in Size estimation and can
Energy property grade, as shown in the table:
Opinion rating
The assessment information index of the precursor information early warning is as follows:
Landslide omen
1. Vault settlement or hole week convergence monitoring numerical value transfinite or acceleration jumping phenomenon occurs in deformation curve.
2. spraying the prominent surface of coagulation there is lateral, longitudinal or non-uniform crack.
3. the stratification of country rock, joint seam, crack etc. become larger or open.
4. having by crack dusty without reason in the ejection of rock number or hole.
5. chip off-falling, scaling-off occur in vault or spandrel, cracking occurs in inverted arch.
6. supporting construction, which is distorted, deforms or invades limit, lock foot mistake bar cutting.
7. tunnel infiltration drips and aggravates or become muddy suddenly.
Note: it if judging landslide grade by other phenomenons, can be indicated in Appreciation gist.
Evaluation is suggested: according to the precursor information of acquisition, in conjunction with related specifications regulation and related data, using Engineering
Than the evaluations such as method, experience method, quantitative analysis method cave in disaster a possibility that grade and Size estimation.
According to the Tunnel Landslide omen characterization observed during tunnel monitoring measurement, in conjunction with related specifications regulation and related money
Material, using engineering analog method, experience method, quantitative analysis method etc., artificial provides landslide grade and landslide result.
Precursor information is monitoring professional or relevant speciality technical staff by experience and determines Tunnel Landslide in advance
Precursor information criterion judged.The final grade judgement of precursor information is equal to professional and recognizes a whole set of evaluation method
Determine with situation, is used to make up the fault or deficiency of appraisement system.
Shown monitoring information early warning includes monitoring measurement early warning and special monitoring and warning.
The monitoring index of the monitoring information early warning is tunnel cross-section geological information, in conjunction with related specifications regulation and related money
Material obtains early warning result using engineering analog method, experience method, quantitative analysis method etc..
The special project monitoring and warning is using convergence gauge, level meter, total station, robot measurement, soil pressure cell, reinforcing bar
The measuring instruments such as meter, strain gauge, triangular-notch weir, rectangular weir monitor the information such as tunnel cross-section stress, deformation, according to the early warning valve of input
Value judges and exports warning grade, and it is as shown in the table to obtain early warning result:
Monitoring measurement and special monitoring and warning evaluation are evaluated with the percentage that its measured value reaches threshold value, and described hundred
Score early warning are as follows: measured value reaches threshold value 80% and the above are red early warning (IV), measured value reaches threshold value 60% the above are orange
Early warning (III), measured value reach threshold value 40% the above are yellow early warning (II), and measured value reaches pre- for blue in threshold value 0~40%
Alert (I).Wherein alarm mode has accumulative threshold value early warning, rate-valve value early warning, changing value threshold value early warning, when measured value is more than accumulative
Rate or changing value early warning can only be selected when threshold value.
In step s3, the cell data analysis includes the processing of unit internal monitoring point data, data regression, data
Judge that wherein linear regression time point is advanced with threshold value comparison, then prediction result is not included in multivariate data fusion.
In the cell data analysis,
Geologic risk early warning: risk is untreated or ignores and is maximized, and should reappraise after risk processing, take and reappraise
Value afterwards always exists and participates in dynamic monitoring assessment；
Advanced prediction early warning: when secondary evaluation is maximized, risk, which does not handle to always exist, participates in dynamic monitoring assessment, area
It needs to reappraise risk after Duan Guantong；
Precursor information early warning: when secondary evaluation is maximized, precursor information early warning item can artificially judge maximum value, precursor information
Early warning result only retain very short time section, the period be 1~7 day or segment perforation after eliminate；
Monitoring measurement early warning, special monitoring and warning: when secondary evaluation is maximized, next data arrival continues to evaluate, when
More than a day when data, a plurality of data evaluation result maximum value is taken to participate in dynamic evaluation.
In step s4, when multivariate data merges, multivariate data is managed using unified section and section, monitoring information
It is section management, identical section is merged when evaluating with identical section information, and section includes that section is sought when evaluating with section
The inclusion relation of section is looked for be merged, information is not full-time based on independent section, finally comprehensive with monitoring section management export
Warning grade.
When the multivariate data merges, according to cell data analysis and early warning as a result, carrying out multivariate data referring again to following table
Fusion, final a possibility that obtaining constructing tunnel dynamic landslide safety comprehensive early warning under multivariate data grade and scale grade ",
It is as shown in the table:
When multivariate data merges, overall risk assessment result is without fusion；Before construction, special risk assessment and construction peace
Full evaluation result takes the larger value as comprehensive pre-warning result；In construction, ignores security evaluation before construction, special risk assessment and apply
Work safety evaluation result takes the larger value to participate in dynamic comprehensive monitoring and warning.
In the presence of advance geologic prediction, precursor information, monitoring measurement, special project monitor all, precursor information priority is most
Height, when system does not use precursor information, integrated level is that multivariate data grade relatively takes large values.
When evaluating landslide risk before construction less than III grade, special monitoring and warning can not be done, system is believed by monitoring measurement
Breath fusion other information is monitored early warning.It is " highway tunnel construction technical specification " (JTG that the monitoring measurement, which executes standard,
F60-2009), the monitoring measurement in " railway tunnel monitoring and measuring technology regulation " (Q/CR9218-2015) controls standard, and
Deformation allowance standard in " vcehicular tunnel design specification " (JTG_D70-2004), periphery displacement and vault sinking are with design
Deformation allowance is chosen in deformation allowance or specification.
With red, orange, yellow, blue calibration, red represents landslide possibility for cell data analysis and multivariate data analysis conclusion
Degree or landslide possible size intensity grade highest (IV), it is orange represent high (III), yellow represent in (II), blue represent
Low (I).
In step s5, as a result issue by prompting and showing two parts, wherein terminal device be computer, mobile phone and other
Presentation device, prompting mode are short message, mailbox and public platform；Exhibition method is to be divided into indoor and live information to show.
Claims (10)
1. a kind of constructing tunnel dynamic landslide safety comprehensive method for early warning based on multivariate data, which is characterized in that including following
Step:
S1, data, building constructing tunnel dynamic landslide engineering data base are collected；
Including the basic information by reconnoitring, before design and construction documents collection constructing tunnel, and collect in constructing tunnel
Multidate information；
S2, risk identification；
According to the dynamic parameter of constructing tunnel dynamic landslide engineering data base, construction risk identification, institute are carried out using multivariate data
Stating multivariate data includes the geologic risk early warning before construction and the geologic risk early warning in construction, advanced prediction early warning, omen letter
Cease early warning and monitoring information early warning；
S3, cell data analysis；
Unit is carried out to geology Risk-warning, advanced prediction early warning, precursor information early warning and the information of monitoring information early warning respectively
Data analysis, and judge its risk class；
S4, multivariate data fusion obtain construction dynamic landslide safety comprehensive Alarm Assessment information；
It is merged according to property arranged side by side, the relevance of multivariate data, the overall level of risk before obtaining constructing tunnel, and construction
The synthesis possibility grade and combined chance Size estimation of middle landslide；
S5, result publication, Real-Time Sharing early warning process；
It prompts construction dynamic landslide safety comprehensive Alarm Assessment information to carry out early warning with exhibition method by terminal device.
2. the constructing tunnel dynamic landslide safety comprehensive method for early warning according to claim 1 based on multivariate data, special
Sign is: in step s1, combining phospecting apparatus to carry out master-plan, overall prospecting by construction personnel, before collecting constructing tunnel
Basic information；In the construction process, section, section prospecting and real-time monitoring are carried out, the multidate information in constructing tunnel is collected.
3. the constructing tunnel dynamic landslide safety comprehensive method for early warning according to claim 1 based on multivariate data, special
Sign is: in step s2, the geologic risk early warning, advanced prediction early warning, precursor information early warning data pass through section and disconnected
Face information is managed；Monitoring information warning data is managed and is issued by section information.
4. the constructing tunnel dynamic landslide safety comprehensive method for early warning according to claim 3 based on multivariate data, special
Sign is: the geologic risk early warning includes safety evaluation before risk assessment, construction before constructing, safety evaluation in construction, wherein
Risk assessment before construction includes overall risk and special risk, is assessed all in accordance with scoring；Safety evaluation before constructing
Tunnel Landslide venture influence Factor Weight delimited all in accordance with analytic hierarchy process (AHP) with safety evaluation in construction, then constructs fuzzy evaluation square
Battle array is assessed；
The advanced prediction early warning be according to the advance geologic prediction in constructing tunnel dynamic landslide engineering data base as a result,
Obtain the Size estimation and possibility grade of the disaster that may cave in；
The precursor information early warning is to be characterized according to the Tunnel Landslide omen observed during monitoring measurement, and artificial provides landslide
Grade and landslide result；
The monitoring information early warning includes monitoring measurement early warning and special monitoring and warning, monitors tunnel cross-section according to measuring instrument
Geological information exports early warning threshold values, judges and export warning grade.
5. the constructing tunnel dynamic landslide safety comprehensive method for early warning according to claim 1 based on multivariate data, special
Sign is: in step s3, the cell data analysis includes the processing of unit internal monitoring point data, data regression, data
Judge that wherein linear regression time point is advanced with threshold value comparison, then prediction result is not included in multivariate data fusion.
6. the constructing tunnel dynamic landslide safety comprehensive method for early warning according to claim 1 based on multivariate data, special
Sign is: in the cell data analysis,
Geologic risk early warning: risk is untreated or ignores and is maximized, and should reappraise, be taken after reappraising after risk processing
Value always exists and participates in dynamic monitoring assessment；
Advanced prediction early warning: when secondary evaluation is maximized, risk, which does not handle to always exist, participates in dynamic monitoring assessment, and section passes through
It needs to reappraise risk after logical；
Precursor information early warning: when secondary evaluation is maximized, precursor information early warning item can artificially judge maximum value, precursor information early warning
As a result only retain very short time section, the period be 1~7 day or segment perforation after eliminate；
Monitoring measurement early warning, special monitoring and warning: when secondary evaluation is maximized, next data arrival continued to evaluate, when one day
When a plurality of data, a plurality of data evaluation result maximum value is taken to participate in dynamic evaluation.
7. the constructing tunnel dynamic landslide safety comprehensive method for early warning according to claim 1 based on multivariate data, special
Sign is: in step s4, when multivariate data merges, identical section is merged when evaluating with identical section information, and section includes
It is merged when section is evaluated with the inclusion relation that section finds section, information is not full-time based on independent section, finally with prison
Survey section management export comprehensive pre-warning grade.
8. the constructing tunnel dynamic landslide safety comprehensive method for early warning according to claim 7 based on multivariate data, special
Sign is: when multivariate data merges, overall risk assessment result is without fusion；
Before construction, special risk assessment and construction safety evaluation result take the larger value as comprehensive pre-warning result；
In construction, special risk assessment and construction safety evaluation result take the larger value to participate in dynamic comprehensive monitoring and warning；Advanced
In the presence of geologic prediction, precursor information, monitoring measurement, special monitoring all, precursor information priority is highest；When system does not use
When precursor information, integrated level is that multivariate data grade relatively takes large values.
9. the constructing tunnel dynamic landslide safety comprehensive method for early warning according to claim 8 based on multivariate data, special
Sign is: when evaluating landslide risk before construction less than III grade, special monitoring and warning is not done, by monitoring measurement warning information and its
The fusion of its multivariate data information carries out monitoring and warning.
10. the constructing tunnel dynamic landslide safety comprehensive method for early warning according to claim 1 based on multivariate data, special
Sign is: with red, orange, yellow, blue calibration, red represents landslide may for the cell data analysis and multivariate data fusion conclusion
Property degree or landslide IV grade of possible size intensity grade highest, it is orange represent high III grade, yellow represent in II grade, blue generation
Table is I grade low.
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| CN112330002A (en) * | 2020-10-27 | 2021-02-05 | 合肥泽众城市智能科技有限公司 | Urban ground collapse disaster comprehensive monitoring and early warning method and system |
| CN112418645A (en) * | 2020-11-18 | 2021-02-26 | 云南航天工程物探检测股份有限公司 | Tunnel engineering full life cycle safety evaluation method |
| 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 |
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| CN112330002A (en) * | 2020-10-27 | 2021-02-05 | 合肥泽众城市智能科技有限公司 | Urban ground collapse disaster comprehensive monitoring and early warning method and system |
| CN112330002B (en) * | 2020-10-27 | 2023-12-08 | 合肥泽众城市智能科技有限公司 | Urban ground collapse disaster comprehensive monitoring and early warning method and system |
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| CN112418645B (en) * | 2020-11-18 | 2024-02-02 | 云南航天工程物探检测股份有限公司 | Tunnel engineering full life cycle safety evaluation method |
| 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 |
| 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 |
| CN112863119B (en) * | 2020-12-31 | 2022-04-01 | 中铁建设集团基础设施建设有限公司 | Engineering construction safety risk early warning system and method |
| CN112863119A (en) * | 2020-12-31 | 2021-05-28 | 中铁建设集团基础设施建设有限公司 | Engineering construction safety risk early warning system and method |
| CN113359185B (en) * | 2021-05-17 | 2023-12-29 | 中交第二公路工程局有限公司 | Tunnel comprehensive advanced geological forecast intelligent early warning system and implementation method thereof |
| CN113359185A (en) * | 2021-05-17 | 2021-09-07 | 中交第二公路工程局有限公司 | Tunnel comprehensive advanced geological forecast intelligent early warning system and implementation method thereof |
| CN113640896A (en) * | 2021-07-07 | 2021-11-12 | 中交第二公路工程局有限公司 | Tunnel unfavorable geology risk early warning display system |
| CN113822227A (en) * | 2021-10-19 | 2021-12-21 | 杭州交通工程监理咨询有限公司 | Tunnel engineering construction risk monitoring method, device and medium |
| CN114446014A (en) * | 2021-12-30 | 2022-05-06 | 中铁十七局集团城市建设有限公司 | Highway tunnel earthquake early warning method and system |
| CN114446014B (en) * | 2021-12-30 | 2023-11-21 | 中铁十七局集团城市建设有限公司 | Highway tunnel earthquake early warning method and system |
| CN115062809A (en) * | 2022-01-26 | 2022-09-16 | 中国铁道科学研究院集团有限公司电子计算技术研究所 | Tunnel advanced geological forecast risk early warning method, system and storage medium |
| CN116562656A (en) * | 2023-07-07 | 2023-08-08 | 中国铁道科学研究院集团有限公司铁道建筑研究所 | Tunnel construction geological disaster early warning and prevention and control intelligent decision method and auxiliary platform |
| CN116562656B (en) * | 2023-07-07 | 2023-11-03 | 中国铁道科学研究院集团有限公司铁道建筑研究所 | Tunnel construction geological disaster early warning and prevention and control intelligent decision method and auxiliary platform |
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