CN109374631A - A kind of tunnel state evaluating method - Google Patents
A kind of tunnel state evaluating method Download PDFInfo
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- CN109374631A CN109374631A CN201811154974.XA CN201811154974A CN109374631A CN 109374631 A CN109374631 A CN 109374631A CN 201811154974 A CN201811154974 A CN 201811154974A CN 109374631 A CN109374631 A CN 109374631A
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Abstract
The invention discloses the present invention provides a kind of tunnel state evaluating methods, which comprises establishes tunnel information database；Acquisition tunnel related data is simultaneously stored in the tunnel information database, wherein, the tunnel related data includes the Real-time Monitoring Data for being directed to risk tunnel, is directed to the cunicular period/routine testing data of institute, is directed to the cunicular acceptance test data of institute and is directed to a cunicular design and construction data；The design and construction data, the acceptance test data, the period/routine testing data and/or the Real-time Monitoring Data are analyzed, tunnel state is generated and analyzes result；The type of result is analyzed according to the tunnel state, tunnel state analysis result is classified and recombinated for object and result parameter occurrence, generates the tunnel state report of accessment and test of matching user demand.
Description
Technical field
The present invention relates to field of track traffic, and in particular to a kind of tunnel state evaluating method.
Background technique
Tunnel defect mostly uses greatly the equipment such as total station, theodolite and hydrostatic level to be detected at present, is examined
When survey, need to hold detection device on mechanical or guide rail car by a specialized work personnel to be detected to tunnel inner wall,
It can also be realized by mechanical or guide rail car walking in this way and data acquisition is carried out to the disease in tunnel.
However, for existing this method, since that there are stability is poor, timeliness is low and data for manual operation
Acquire the problems such as classification is single.Therefore in many application scenarios cannot promptly and accurately discovery burst tunnel defect.Also,
Since the data acquired up cannot be applied directly, just can determine that actual tunnel state after needing to carry out manual analysis, this into
One step reduces the timeliness and accuracy of detection.
Summary of the invention
The present invention provides a kind of tunnel state evaluating methods, which comprises
Establish tunnel information database；
Acquisition tunnel related data is simultaneously stored in the tunnel information database, wherein the tunnel related data includes needle
It is examined to the Real-time Monitoring Data in risk tunnel, for the cunicular period/routine testing data of institute, for the cunicular examination of institute
Measured data and for the cunicular design and construction data of institute；
Analyze the design and construction data, the acceptance test data, the period/routine testing data and/or described
Real-time Monitoring Data generates tunnel state and analyzes result；
The type of result is analyzed according to the tunnel state, is directed to object and result parameter occurrence to the tunnel-like
State analysis result is classified and is recombinated, and the tunnel state report of accessment and test of matching user demand is generated.
In one embodiment, the tunnel information database is combined using relevant database with non-relational database
Mixed architecture design.
In one embodiment, the tunnel information database includes real time data area, big data area, filing data field and sample
Notebook data area.
In one embodiment, it acquires tunnel related data and is stored in the tunnel information database, comprising:
According to data analysis requirements to the design and construction data, the acceptance test data, the period/routine testing
Data and/or the Real-time Monitoring Data carry out data quick-processing.
In one embodiment, the design and construction data, the acceptance test data, the period/routine testing are analyzed
Data and/or the Real-time Monitoring Data generate tunnel state and analyze result, comprising:
Tunnel original state, which is generated, according to the design and construction data and/or the acceptance test data analyzes result；
Tunnel cycle detection is generated according to the period/routine testing data based on tunnel original state analysis result
Analyze result；
Result and/or tunnel cycle detection analysis result are analyzed according to described real-time based on the tunnel original state
Monitoring data generate tunnel Real Time Monitoring result.
In one embodiment, result and/or tunnel cycle detection analysis knot are analyzed according to the tunnel original state
Fruit determines the risk tunnel.
In one embodiment, the design and construction data, the acceptance test data, the period/routine testing are analyzed
Data and/or the Real-time Monitoring Data, comprising:
Liner structure defect, crack and/or the percolating water state analysis in tunnel are obtained as a result, identification tunnel defect.
In one embodiment, liner structure defect, crack and/or the percolating water state analysis in tunnel are obtained as a result, identification
Tunnel defect, comprising:
Obtain tunnel defect feature and the relevant design and construction data, the acceptance test data, the period/
The historical sample data of routine testing data and/or the Real-time Monitoring Data；
Model training is carried out based on the historical sample data, obtains the design and construction data, the acceptance test number
According to the identification model between, the period/routine testing data and/or the Real-time Monitoring Data and the tunnel defect；
Based on the identification model according to the design and construction data, the acceptance test data, the period/daily inspection
Measured data and/or the Real-time Monitoring Data carry out liner structure defect, crack and/or the percolating water state analysis in tunnel, know
Other tunnel defect.
In one embodiment, the method also includes:
Judge whether early warning based on tunnel state analysis result；
Result is analyzed according to the tunnel state when needing early warning and determines that alarm mode, the alarm mode include backstage
Warning log is saved, early warning is actively exported and exports early warning to field personnel to background monitoring personnel and actively.
In one embodiment, the tunnel state report of accessment and test of matching user demand is generated, comprising:
It determines there is tunnel/tunnel section that association influences each other, generates whole tunnel report of accessment and test.
Whole evaluation and test can be carried out to tunnel state comprehensively, timely according to the method for the present invention, compared to the prior art,
Evaluation result of the invention not only timeliness with higher and accuracy, and the intuitive degree of evaluation result and careful journey
Degree is all effectively improved.
Other feature or advantage of the invention will illustrate in the following description.Also, Partial Feature of the invention or
Advantage will be become apparent by specification, or be appreciated that by implementing the present invention.The purpose of the present invention and part
Advantage can be realized or be obtained by step specifically noted in the specification, claims and drawings.
Detailed description of the invention
Attached drawing is used to provide further understanding of the present invention, and constitutes part of specification, with reality of the invention
It applies example and is used together to explain the present invention, be not construed as limiting the invention.In the accompanying drawings:
Fig. 1 is method flow diagram according to an embodiment of the invention；
Fig. 2 is database structure schematic diagram according to an embodiment of the invention；
Fig. 3~Fig. 5 is the Part Methods flow chart of different embodiments according to the present invention；
Fig. 6 is application scenarios schematic diagram according to an embodiment of the invention.
Specific embodiment
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings and examples, implementation personnel of the invention whereby
Can fully understand that how the invention applies technical means to solve technical problems, and reach technical effect realization process and according to
The present invention is embodied according to above-mentioned realization process.As long as each embodiment it should be noted that do not constitute conflict, in the present invention
And each feature in each embodiment can be combined with each other, be formed by technical solution protection scope of the present invention it
It is interior.
Tunnel defect mostly uses greatly the equipment such as total station, theodolite and hydrostatic level to be detected at present, is examined
When survey, need to hold detection device on mechanical or guide rail car by a specialized work personnel to be detected to tunnel inner wall,
It can also be realized by mechanical or guide rail car walking in this way and data acquisition is carried out to the disease in tunnel.
However, for existing this method, since that there are stability is poor, timeliness is low and data for manual operation
Acquire the problems such as classification is single.Therefore in many application scenarios cannot promptly and accurately discovery burst tunnel defect.Also,
Since the data acquired up cannot be applied directly, just can determine that actual tunnel state after needing to carry out manual analysis, this into
One step reduces the timeliness and accuracy of detection.
For above-mentioned problems of the prior art, the invention proposes a kind of tunnel state evaluating methods.In this hair
In bright method, not only detection data (such as artificial daily detection data and the vehicle cycle detection number of collection period
According to), but also Real-time Monitoring Data (such as emphasis monitoring data for risk tunnel) are acquired, it avoids to only rely in this way
It is periodically detected the problem of timeliness difference caused by data.
Further, in the method for the invention, tunnel initial acceptance test data and detail design number are also acquired
According to as analysis evaluation and test reference data and comparison basis, thus substantially increase the accuracy of analysis evaluation result and complete
Face property.
Further, in the method for the invention, for the automatic real-time perfoming of monitoring/detection data analysis, in user
Have and checks that the automatic combinatory analysis result of demand forms corresponding report of accessment and test according to user when checking demand.So not only significantly
It reduces user and checks the waiting time of report of accessment and test, and improve the specific aim of report of accessment and test, provided more for user
The evaluation result for meeting demand substantially increases the working efficiency of user.
Whole evaluation and test can be carried out to tunnel state comprehensively, timely according to the method for the present invention, compared to the prior art,
Evaluation result of the invention not only timeliness with higher and accuracy, and the intuitive degree of evaluation result and careful journey
Degree is all effectively improved.
Next the implementation process based on flow chart the present invention is described in detail embodiment.It is walked shown in the flow chart of attached drawing
Suddenly it can be executed in the computer system comprising such as a group of computer-executable instructions.Although showing in flow charts each
The logical order of step, but in some cases, it can be with the steps shown or described are performed in an order that is different from the one herein.
As shown in Figure 1, in one embodiment, evaluating method includes:
S110 establishes tunnel information database；
S120 acquires tunnel related data and is stored in tunnel information database, in which:
S121, acquisition are directed to the Real-time Monitoring Data in risk tunnel and are deposited into tunnel information database；
S122, acquisition is for the cunicular period/routine testing data of institute and is deposited into tunnel information database；
S123, acquisition is for the cunicular acceptance test data of institute and is deposited into tunnel information database；
S124, acquisition is for the cunicular design and construction data of institute and is deposited into tunnel information database；
S130, analysis design and construction data, acceptance test data, period/routine testing data and/or real-time monitoring number
According to generation tunnel state analyzes result；
S140 analyzes the type of result according to tunnel state, is directed to object and result parameter occurrence to tunnel state
Analysis result is classified and is recombinated, and the tunnel state report of accessment and test of matching user demand is generated.
In the method for the invention, tunnel related data has included Real-time Monitoring Data, the period/routine testing data, has tested
Receive detection data and design and construction data.Since data class is various and has longer time span, between various species with
And the data between timing node, some have relevance (such as in tunnel internal Condition Monitoring Data each other exist linkage close
The tunnel physical state detection result of system), and some do not have relevance (such as tunnel outer video monitoring image and tunnel
Internal state monitoring data are only subordinated under same tunnel label).Therefore, in one embodiment, tunnel information database is adopted
The mixed architecture design combined with relevant database with non-relational database.
Further, as shown in Fig. 2, in one embodiment, tunnel information database 200 includes real time data area 210, big
Data field 220, filing data field 230 and sample data area 240.
Specifically, in one embodiment, big data area is untreated initial data, and after processing, initial data is because several
It does not visit again so being stored in filing data field, processing result is because of the more deposit real time data area of query demand.
Further, in one embodiment:
Real-time area: often, read-write amount is small for read-write.
Big data area: read-write number is few, and read-write amount is big.
File area: read-write number is few, and writing is big, and amount of storage is larger.
Sample area: often, read-write amount is small, and data type is more for read-write.
Specifically, in one embodiment, each business module of the service application layer of evaluating system is stored in real time data area
Data (real-time analysis result and intermediate data in test process) and emphasis the monitoring Real-time Collection transmission of generation are returned
Monitoring data (environmental monitoring data in Real-time Monitoring Data, video data in Real-time Monitoring Data since data volume is big,
Therefore it is not placed on this region).
Store acceptance test collected original radar data and vehicle cycle detection and people to be processed in big data area
The collected point cloud data to be processed of work routine testing, image data and emphasis monitor collected radar data and
Video data.Initial data all having time label, tunnel label and mileage label.
File data field and stores the result data after Data Analysis Services.
The sample extracted in sample data area storage radar, point cloud, image and video data.
Further, in data acquisition, collected data be not entirety be all can be used for analyze it is effective
Data (such as data much unrelated with tunnel can be included in radar data, video data and image data), invalid data
The progress that very big data space can not only be occupied but also data can be interfered to analyze, drags slow data analysis process, shadow significantly
Ring the timeliness and accuracy rate of data analysis result.
Therefore, in one embodiment, acquire tunnel related data and be stored in tunnel information database, comprising:
According to data analysis requirements to design and construction data, acceptance test data, period/routine testing data and/or reality
When monitoring data carry out data quick-processing.
Specifically, in one embodiment, Fourier transformation, the background denoising of early period is carried out for radar data,
Using the cluster computing environment of cloud platform, quickly handled by the way of parallel computation.It is compressed for video data
And image sampling, it is compressed and is cut for image data.
Further, in one embodiment, original radar data, video data are by the valid data after high speed data processing
It is stored in filing data field.
Further, it since design and construction data and acceptance test data belong to disposable data, is applied in Tunnel Design
Work completion or tunnel would not be changed after the completion of checking and accepting, therefore its original state that can reflect tunnel.And period/routine testing
Data and Real-time Monitoring Data be with tunnel state variation and change, reflection be tunnel current state.Cause
This determines the original state in tunnel, integrating tunnel according to design and construction data and/or acceptance test data in one embodiment
Original state analytical cycle/routine testing data and/or Real-time Monitoring Data (for example, by using the method for contrast verification) come it is true
Determine the current state in tunnel.Compared to only determining the current of tunnel with period/routine testing data and/or Real-time Monitoring Data
State, accuracy rate greatly improve.
Further, since the timeliness of Real-time Monitoring Data is significantly larger than period/routine testing data.Therefore, one
In embodiment, Real-time Monitoring Data is analyzed in real time, and in analysis with reference to newest period/routine testing data point
Analysis is as a result, to further increase the precision of analysis of Real-time Monitoring Data.
Specifically, as shown in figure 3, in one embodiment, analyzing design and construction data, acceptance test data, period/daily
Detection data and/or Real-time Monitoring Data generate tunnel state and analyze result, comprising:
Analysis design and construction data and/or acceptance test data (S311) generate tunnel original state and analyze result
(S312)；
Tunnel cycle detection point is generated based on tunnel original state analysis interpretation of result period/routine testing data (S321)
It analyses result (S322)；
Result, which is analyzed, according to tunnel cycle detection determines non-risk tunnel state (S323)；
Result is analyzed based on tunnel original state and interpretation of result Real-time Monitoring Data is analyzed in tunnel cycle detection
(S331) tunnel Real Time Monitoring result (S332) is generated；
Risk tunnel state (S333) is determined according to tunnel Real Time Monitoring result.
Further, in one embodiment, result and/or tunnel cycle detection analysis knot are analyzed according to tunnel original state
Fruit determines risk tunnel.
Further, in many application scenarios, the purpose of Tunnel testing is exactly that look-ahead tunnel defect either exists
Tunnel defect is found in time when occurring, so as to be prevented as early as possible or remedied.However, in the prior art, using people
Work point analysis is known otherwise it is difficult to ensure that the in-advance of tunnel defect identification, timeliness and validity.In view of the above-mentioned problems,
In one embodiment, in analysis design and construction data, acceptance test data, period/routine testing data and/or Real-time Monitoring Data
During carry out the prediction and identification of tunnel defect automatically.
Specifically, in one embodiment, analysis design and construction data, acceptance test data, period/routine testing data
And/or Real-time Monitoring Data, comprising: obtain liner structure defect, crack and/or the percolating water state analysis in tunnel as a result, knowing
Other tunnel defect.
Further, in order to which the accuracy rate for improving tunnel defect Forecasting recognition uses deep learning in one embodiment
And the method for data mining.Specifically, as shown in figure 4, in one embodiment, obtaining liner structure defect, the crack in tunnel
And/or percolating water state analysis is as a result, identification tunnel defect, comprising:
S410 obtains tunnel defect feature and relevant design and construction data, acceptance test data, period/daily inspection
The historical sample data of measured data and/or Real-time Monitoring Data；
S420, based on historical sample data carry out model training, obtain design and construction data, acceptance test data, the period/
Identification model between routine testing data and/or Real-time Monitoring Data and tunnel defect；
S430, based on identification model according to design and construction data, acceptance test data, period/routine testing data and/or
Real-time Monitoring Data carries out liner structure defect, crack and/or the percolating water state analysis in tunnel, identifies tunnel defect.
Specifically, in one embodiment, historical sample data includes the sample data of all kinds of diseases.Specifically, a kind of disease
Evil has different types of sample data, such as crack, existing linear array camera image data, and has 3-D scanning point cloud data.
Specifically, in one embodiment, liner structure defect, using radar image as input item.Firstly, extracting each quasi-representative
The radar image sample of linning defect establishes training sample database, extracts all types of radar image features, including time domain, frequency domain,
(whether the position has apparent disease, whether lining thickness is insufficient, whether reinforcing bar steelframe is distributed not to time-frequency domain with Disease Characters are associated with
Foot), it using deep learning or support vector machines isotype identification technology, is trained, the model after recycling training carries out disease
Harmful intelligent recognition.That is, input is radar image, export as disease classification.
Crack and percolating water use learning training process similar with liner structure defect.Sample database is established, disease is extracted
Evil feature, training pattern are identified using the model after training.Specifically, crack is with the image and point cloud data of camera
Input item.The infrared image that percolating water is acquired using thermal infrared imager is input item.
Further, in one embodiment, training before, also a feature extract the step of, for training pattern and
Not instead of initial data, the feature extracted from data.For example, tunnel lining structure defect, samples sources are radars
Image extracts some features, such as variance, second moment, entropy from radar image.
Further, in one embodiment, further deep learning is carried out for inhomogeneous disease and data are dug
Pick, judges whether there is correlation between inhomogeneous disease.For example, whether apparent disease position is internal certain defective.Inside lacks
It falls into and whether is bound to cause apparent disease.
Further, in one embodiment, identify tunnel defect the result is that the list of all kinds of diseases, including in starting
Journey terminates mileage, parameter (size, depth).
Further, in one embodiment, it also needs to carry out manual review to the result that model identifies.
Further, in one embodiment, all related data intelligent diagnostics tunnel states based on tunnel, so that
User holds tunnel state from whole, rather than based on some unilateral monitoring tunnel of aspect.Specifically, tunnel in one embodiment
The input item of road condition intelligent diagnosis includes the historical development of fault of construction, the on-hand quantity of visual defects, density and defect
Trend；Diagnostic result is then the classification of each evaluation unit health status using a certain length as evaluation unit, and corresponding whole
Control the suggestion of scheme.
Further, in one embodiment, final report of accessment and test is the user for multiclass different rights.Specifically
, user include: railway it is total/administrative department at different levels of branch company and technical staff at different levels.For guarantee report of accessment and test specific aim,
For different user's subsidiary units and permission, the report of accessment and test in the tunnel that corresponding region section is included is generated.Also, needle
To the job kind of different user, the report of accessment and test of corresponding different demands is generated.
Further, in one embodiment, method further include:
To the client of each project, detection tunnel and the information such as mileage, detection device and parameter, examining report, inspection
Upload, the downloading of measured data, and project process is tracked；
Archives, including its design data, geologic information established to each tunnel detected, unit in charge of construction, construction unit,
The information such as unit of operation are associated with its all detection project, detection data, further include defect information and management measure, regulation knot
Fruit etc..Further, mark pays close attention to disease, pays close attention to section, tracks the development tendency of same disease.
Specifically, in one embodiment, report of accessment and test includes:
Tunnel testing project management report, client including each project, detection tunnel and mileage, detection device and
The information such as parameter, examining report, upload, downloading and the project process following function of detection data.
Tunnel health account management report, an archives, including its design data, geology are established in each tunnel detected
Data, the information such as unit in charge of construction, construction unit, unit of operation are associated with its all detection project, detection data, further include disease
Evil information and management measure, regulation result etc., can mark and pay close attention to disease, pay close attention to section, track the hair of same disease
Open up variation tendency.
Linning defect identification report, including liner structure defect and visual defects two parts, data result is disease list,
Including Damage Types, start-stop mileage, parameter (fracture length, empty size etc.).
Further, in order to improve the timeliness for coping with tunnel abnormal conditions, in one embodiment, method further includes automatic
Warning step.Specifically, as shown in figure 5, in one embodiment:
S510 judges whether early warning based on tunnel state analysis result；
S511 normally saves tunnel state analysis result when not needing early warning；
S520 analyzes result according to tunnel state when needing early warning and determines alarm mode；
S520 actively carries out early warning.
Specifically, in one embodiment, determining alarm mode according to the severity of disease and settling mode.Such as:
When disease seriously does not need to handle at once, backstage saves warning log and user is reminded to consult；
When disease is serious but can not judge its solution, early warning is actively exported to background monitoring personnel；
When disease seriously needs Field Force to solve in time according to predetermined solution at once, early warning is actively exported to now
Field staff.
In a specific application scenarios, evaluating system framework according to the method for the present invention is as shown in Figure 6.
Further, in one embodiment, method further include:
It acquires the Disease Treatment data in tunnel and is stored in tunnel information database；
In prealarming process, the regulation information of similar disease is provided, provides reference for the formulation of renovation scheme.
Further, in many application scenarios, it is not between multiple tunnels or between each section in the same tunnel
Isolated, with correlation.In response to this, in one embodiment, the tunnel state evaluation and test of matching user demand is generated
Report, comprising: determine there is tunnel/tunnel section that association influences each other, generate whole tunnel report of accessment and test.
Specifically, in one embodiment, not only comprising whole tunnel state description in whole tunnel report of accessment and test, also
It is described comprising whole solution.For example, passing through adjacent position or tunnel/tunnel section tunnel state of similar structure
Comparison describe to highlight target tunnel/tunnel section current state；It needs to consider in control target tunnel/tunnel section
Regulation behavior to the influence of adjacent tunnel/tunnel section；To the whole renovation scheme etc. of multiple target tunnel/tunnel sections.
It should be understood that " one embodiment " or " embodiment " for mentioning in specification means to describe in conjunction with the embodiments
A particular feature, structure, or characteristic is included at least one embodiment of the present invention.Therefore, specification various places throughout occurs
Phrase " one embodiment " or " embodiment " the same embodiment might not be referred both to.
While it is disclosed that embodiment content as above but described only to facilitate understanding the present invention and adopting
Embodiment is not intended to limit the invention.Method of the present invention can also have other various embodiments.Without departing substantially from
In the case where essence of the present invention, those skilled in the art make various corresponding changes or change in accordance with the present invention
Shape, but these corresponding changes or deformation all should belong to scope of protection of the claims of the invention.
Claims (10)
1. a kind of tunnel state evaluating method, which is characterized in that the described method includes:
Establish tunnel information database；
Acquisition tunnel related data is simultaneously stored in the tunnel information database, wherein the tunnel related data includes being directed to wind
The Real-time Monitoring Data in dangerous tunnel is directed to the cunicular period/routine testing data of institute, for the cunicular acceptance test number of institute
Accordingly and for a cunicular design and construction data；
Analyze the design and construction data, the acceptance test data, the period/routine testing data and/or it is described in real time
Monitoring data generate tunnel state and analyze result；
The type of result is analyzed according to the tunnel state, the tunnel state is divided for object and result parameter occurrence
Analysis result is classified and is recombinated, and the tunnel state report of accessment and test of matching user demand is generated.
2. the method according to claim 1, wherein the tunnel information database using relevant database with
The mixed architecture design that non-relational database combines.
3. the method according to claim 1, wherein the tunnel information database include real time data area, it is big
Data field, filing data field and sample data area.
4. the method according to claim 1, wherein acquiring tunnel related data and being stored in the tunnel information number
According to library, comprising:
According to data analysis requirements to the design and construction data, the acceptance test data, the period/routine testing data
And/or the Real-time Monitoring Data carries out data quick-processing.
5. the method according to claim 1, wherein the analysis design and construction data, the acceptance test number
According to, the period/routine testing data and/or the Real-time Monitoring Data, generates tunnel state and analyzes result, comprising:
Tunnel original state, which is generated, according to the design and construction data and/or the acceptance test data analyzes result；
Tunnel cycle detection analysis is generated according to the period/routine testing data based on tunnel original state analysis result
As a result；
Result and/or tunnel cycle detection analysis result are analyzed according to the real-time monitoring based on the tunnel original state
Data generate tunnel Real Time Monitoring result.
6. according to the method described in claim 5, it is characterized in that, analyzing result and/or institute according to the tunnel original state
It states tunnel cycle detection analysis result and determines the risk tunnel.
7. the method according to claim 1, wherein the analysis design and construction data, the acceptance test number
According to, the period/routine testing data and/or the Real-time Monitoring Data, comprising:
Liner structure defect, crack and/or the percolating water state analysis in tunnel are obtained as a result, identification tunnel defect.
8. the method according to claim 1, wherein obtaining liner structure defect, crack and/or the leakage in tunnel
Water state analysis is as a result, identification tunnel defect, comprising:
Obtain tunnel defect feature and the relevant design and construction data, the acceptance test data, the period/daily
The historical sample data of detection data and/or the Real-time Monitoring Data；
Model training is carried out based on the historical sample data, obtains the design and construction data, the acceptance test data, institute
State the identification model between period/routine testing data and/or the Real-time Monitoring Data and the tunnel defect；
Based on the identification model according to the design and construction data, the acceptance test data, the period/routine testing number
According to and/or the Real-time Monitoring Data carry out tunnel liner structure defect, crack and/or percolating water state analysis, identify tunnel
Road disease.
9. the method according to claim 1, wherein the method also includes:
Judge whether early warning based on tunnel state analysis result；
Result is analyzed according to the tunnel state when needing early warning and determines that alarm mode, the alarm mode include that backstage saves
Warning log actively exports early warning and exports early warning to field personnel to background monitoring personnel and actively.
10. the method according to claim 1, wherein generate matching user demand tunnel state report of accessment and test,
Include:
It determines there is tunnel/tunnel section that association influences each other, generates whole tunnel report of accessment and test.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811154974.XA CN109374631B (en) | 2018-09-30 | 2018-09-30 | Tunnel state evaluation method |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811154974.XA CN109374631B (en) | 2018-09-30 | 2018-09-30 | Tunnel state evaluation method |
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| CN109374631A true CN109374631A (en) | 2019-02-22 |
| CN109374631B CN109374631B (en) | 2021-06-29 |
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