CN104462855B - A kind of method and apparatus of underground structure monitoring data processing and analysis - Google Patents
A kind of method and apparatus of underground structure monitoring data processing and analysis Download PDFInfo
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Abstract
The invention discloses a kind of method and apparatus of underground structure monitoring data processing and analysis, obtain multiple parameters of the underground structure in construction process；Based on a preset rules, the wrong data in the multiple parameters is identified and rejected, obtains correction multiple parameters；The redundant data unrelated with the underground structure safety evaluatio in the correction multiple parameters is filtered；According to the filtered correction multiple parameters, between multiple parameters and the relational model of time, multiple parameters and the correlation analysis model of monitoring parameters and construction speed, the stabilization critical parameter of the underground structure is obtained；Based on the stable critical parameter, working measure corresponding with the underground structure is obtained, the working measure is for constructing to the underground structure.
Description
Technical field
The present invention relates to technical field of civil engineering, and in particular to a kind of processing of underground structure monitoring data and analysis
Method and apparatus.
Background technique
Engineering monitoring is always an important topic in engineering research field, especially constructing to underground structure
Real time data monitoring in engineering has gone through the development of decades, and part monitoring project has incorporated setting for correlation engineering
It counts and job specfication, project monitor and control is also developed to real-time online of today and acquired, in real time by the initial artificial acquisition in scene, processing
On-line normalization, in particular with the development of 3G, 4G wireless Internet technologies, Radio Transmission Technology will monitor field in project data
It is more and more widely used.Although online real time collecting and Transmission system allow project data to monitor intelligent, real time implementation, and
The project monitor and control data that magnanimity can be obtained in a short time, compared to having tremendous progress for initial artificial acquisition.
But after usually acquiring the data of underground structure in the prior art, sentenced according to the experience of staff
It is disconnected that corresponding working measure whether is needed to construct, to will appear without carrying out reinforcing strengthening measure and use and reinforce
Enhancements are constructed, and without using when needing using reinforcing strengthening measure, so that the working measure taken and institute
State the low problem of the current condition of construction matching degree of underground structure.
Summary of the invention
The embodiment of the present invention, can by providing a kind of method and apparatus that underground structure monitoring data is handled and analyzed
The current condition of construction of underground structure and the matching degree of working measure are improved, so that the stabilization in underground structure work progress
Property and safety are improved.
The embodiment of the invention provides a kind of method of underground structure monitoring data processing and analysis, the method packets
It includes：
Multiple parameters of the underground structure in construction process are obtained, the multiple parameters include the underground
Stress parameters, strain parameter, displacement parameter and the underground structure local environment of the structures in construction process
Each geologic horizon hydrogeological parameter；
Based on a preset rules, the wrong data in the multiple parameters is identified and rejected, obtains correction multiple parameters；
By it is described correction multiple parameters in the redundant data unrelated with the underground structure safety evaluatio into
Row filtering；
According between the filtered correction multiple parameters, multiple parameters and the relational model of time, multiple parameters with
And the correlation analysis model of monitoring parameters and construction speed, obtain the stabilization critical parameter of the underground structure；
Based on the stable critical parameter, working measure corresponding with the underground structure, the working measure are obtained
For constructing to the underground structure.
Optionally, between the multiple parameters and the relational model of time, multiple parameters and monitoring parameters and construct into
The acquisition methods of the correlation analysis model of degree, specially：
Analyzed by historical data of the regression analysis model to the underground structure, obtain the multiple parameters with
Between the relational model of time, multiple parameters and the correlation analysis model of monitoring parameters and construction speed.
Optionally, described to be analyzed by historical data of the regression analysis model to the underground structure, obtain institute
It states between the relational models of multiple parameters and time, multiple parameters and the correlation analysis mould of monitoring parameters and construction speed
Type specifically includes：
Pass through Exponential Curve Method, hyperbolic method, Asaoka method, Grey System Method, neural network, linear regression method and two
Secondary curvilinear regression method analyzes the historical data, obtains multiple matched curves；
The first matched curve, first matched curve and the historical data are determined from the multiple matched curve
Difference value is less than the difference value of any one of remaining matched curve matched curve and the historical data；
Based on first matched curve, obtain between the relational models of the multiple parameters and time, multiple parameters with
And the correlation analysis model of monitoring parameters and construction speed.
Optionally, when the underground structure is vertical shaft circular diaphragm wall structure, the stable critical parameter packet
Include the stability against slope coefficient of wall, the stability against overturning coefficient of wall, reinforcing bar maximum stress and tensile strength ratio and
The ratio of concrete stress and compression strength.
Optionally, described to be based on the stable critical parameter, obtain working measure corresponding with the underground structure, tool
Body includes：
Judge whether the stable critical parameter is greater than a preset threshold；
When the stable critical parameter is greater than the preset threshold, reinforce by force corresponding with the underground structure is obtained
Change measure.
Another embodiment of the application additionally provides the equipment of a kind of underground structure monitoring data processing and analysis, described to set
It is standby to include：
Collector, for acquiring multiple parameters of the underground structure in construction process, the multiple parameters include
Stress parameters, strain parameter, displacement parameter and the underground structure of the underground structure in construction process
The hydrogeological parameter of each geologic horizon of local environment；
Memory is electrically connected the collector, for storing the multiple parameters；
Processor is electrically connected the memory, for being based on a preset rules, identifies and rejects in the multiple parameters
Wrong data, obtain correction multiple parameters；And it will be safe with the underground structure in the correction multiple parameters
Property is evaluated unrelated redundant data and is filtered；Further according to the filtered correction multiple parameters, multiple parameters and time
Between relational model, multiple parameters and the correlation analysis model of monitoring parameters and construction speed, obtains the underground and construct
The stabilization critical parameter of object；And it is based on the stable critical parameter, working measure corresponding with the underground structure is obtained,
The working measure is for constructing to the underground structure, so that the underground structure in the construction process steady
It is qualitative in preset threshold.
Optionally, the processor, specifically for the historical data by regression analysis model to the underground structure
It is analyzed, is obtained between the relational models of the multiple parameters and time, multiple parameters and monitoring parameters and construction speed
Correlation analysis model.
Optionally, the processor is specifically used for passing through Exponential Curve Method, hyperbolic method, Asaoka method, gray system
Method, neural network, linear regression method and the conic section Return Law analyze the historical data, and it is bent to obtain multiple fittings
Line；The first matched curve, the difference of first matched curve and the historical data are determined from the multiple matched curve
Value is less than the difference value of any one of remaining matched curve matched curve and the historical data；It is quasi- based on described first
Curve is closed, is obtained between the relational models of the multiple parameters and time, multiple parameters and monitoring parameters and construction speed
Correlation analysis model.
Optionally, the processor, specifically for judging whether the stable critical parameter is greater than a preset threshold；Institute
When stating stable critical parameter greater than the preset threshold, reinforcing strengthening measure corresponding with the underground structure is obtained.
The one or more technical solutions provided in the embodiment of the present invention, have at least the following technical effects or advantages：
Since the embodiment of the present application is to identify and reject polynary ginseng of the underground structure of acquisition in construction process
Wrong data in number obtains correction multiple parameters and is filtered, so that the filtered correction multiple parameters accuracy
It is higher, further according between the filtered correction multiple parameters, multiple parameters and the relational model of time, multiple parameters and
The correlation analysis model of monitoring parameters and construction speed obtains the stabilization critical parameter of the underground structure, by institute
State correction multiple parameters filtered, can reduce calculation amount, improve work efficiency, and according to the multiple parameters with
The relational model of time and the correlation analysis model analyze the filtered correction multiple parameters, due to filtering
The accuracy of the correction multiple parameters afterwards is higher, so that the accuracy of the stable critical parameter obtained is also higher, into
And make based on the stable critical parameter, obtaining working measure corresponding with the underground structure also can be with the underground
The current condition of construction of structures more matches, so as to improve current condition of construction and of working measure of underground structure
With degree, stability and safety in underground structure work progress is enabled to be improved.
Detailed description of the invention
Fig. 1 is the flow chart of the method for the processing of underground structure monitoring data and analysis in the embodiment of the present invention；
Fig. 2 is the structure chart of the equipment of the processing of underground structure monitoring data and analysis in the embodiment of the present invention.
Specific embodiment
The embodiment of the present invention, can by providing a kind of method and apparatus that underground structure monitoring data is handled and analyzed
The current condition of construction of underground structure and the matching degree of working measure are improved, so that the stabilization in underground structure work progress
Property and safety are improved.
In order to better understand the above technical scheme, in conjunction with appended figures and specific embodiments to upper
Technical solution is stated to be described in detail.
Referring to Fig. 1, one embodiment of the invention provides the method for a kind of underground structure monitoring data processing and analysis, packet
Include following steps：
Step 101：Multiple parameters of the underground structure in construction process are obtained, the multiple parameters include
Stress parameters, strain parameter, displacement parameter and the underground structure of the underground structure in construction process
The hydrogeological parameter of each geologic horizon of local environment；
Step 102：Based on a preset rules, the wrong data in the multiple parameters is identified and rejected, it is more to obtain correction
First parameter；
Step 103：It will be unrelated with the underground structure safety evaluatio superfluous in the correction multiple parameters
Remainder evidence is filtered；
Step 104：According to filtered correction multiple parameters, multiple parameters and the relational model of time, polynary ginseng
Between number and the correlation analysis model of monitoring parameters and construction speed, the judge of stablizing for obtaining the underground structure are joined
Number；
Step 105：Based on the stable critical parameter, working measure corresponding with the underground structure is obtained, it is described
Working measure is for constructing to the underground structure, so that the stability of the underground structure in the construction process
In preset threshold.
Wherein, in a step 101, the multiple parameters are the engineerings according to universal data collecting system and sensor composition
Data monitoring equipment monitoring obtains, and can store in database as primary monitoring data, can transfer and update at any time.Together
When, and it is dynamic to be aided with live visual monitor, ground displacement personal monitoring, excavation progress deep-controlled into interior soil excavation and three-dimensional
Draw the equipment such as simulation.
In the specific implementation process, more equipment, in real time acquisition bring number are had according to the universal data collecting system
According to big feature is measured, for convenience to data management, data are preferably managed and save, entire Database Systems are equipped with and adopt in real time
Collect database, modularization reading database, historical statistical data library, this three subdata bases subordination is in raw data base, for real
Now to the real-time update of data, processing, analysis in real time, the in real time functions such as prediction, realized by the way that buffer area is arranged in memory
The foundation of real-time data base, modularization staqtistical data base are transferred in the Modular Data read module of universal data collecting system
Data meet the processing of the monitoring data of the stationary monitoring frequency, which also has a meaning of real-time update, but often with
When, day, the long periods such as week be unit.Historical statistical data can be the data statistics of logarithm emulation technology simulation, can also
Be long-time construction monitoring Historical Monitoring data statistics, described statistics here is directly to instruct the weight of engineering construction
For the ultimate processing data for wanting parameter.
Specifically, when obtaining the multiple parameters of the underground structure in construction process, can be with it is described
Universal data collecting system docking can be achieved to read construction site storage directly from collection in worksite device by wirelessly or non-wirelessly transmitting
There are the multiple parameters in data acquisition device, and the polynary ginseng on house computers can also be obtained by internet technology of sharing
Number, wherein the multiple parameters for receiving spot sensor are stored in the house computers by the universal data collecting system,
And the multiple parameters of acquisition are stored in the house computers by the universal data collecting system in real time, so that the room
Multiple parameters in interior computer being capable of real-time update.
Specifically, docking with the universal data collecting system, the institute of the universal data collecting system transmission is received
When stating multiple parameters, integrality differentiation processing is carried out to the multiple parameters received, unstable networks is avoided to cause data
The key mark data loss occurred in remote collection or importing process carries out at alarm the time point that above situation occurs
Reason carries out data transmission interrupt processing to the period that above situation occurs.
Specifically, when storing the multiple parameters, in the database that the multiple parameters can be stored, also to institute
It states database and carries out real-time update, real-time update can be carried out by directly reading the data in the universal data collecting system
The multiple parameters stored in the database.
For example, by taking Circular Shaft diaphram wall as an example, the multiple parameters for acquiring the shape vertical shaft diaphram wall include
Soil excavation depth in vertical shaft, compressive region longitudinal reinforcement stress, tensile region longitudinal reinforcement stress, compressive region transverse steel stress,
Tensile region transverse steel stress, compressive region concrete strain, concrete in tension zone strain, Wall back pressure, wall carry on the back gap hydraulic pressure
The outer soil body surface of power, vertical shaft settles, wall carries on the back soil internal horizontal displacement, I-steel surface strain in vertical shaft, and each monitoring parameter is all
It is that multi-point monitoring is carried out according to requirement of engineering, forms laterally monitoring section and vertical monitoring section.
Next step 102 is executed, in this step, a preset rules is based on, identifies and reject in the multiple parameters
Wrong data, obtain correction multiple parameters.
In the specific implementation process, the wrong data in the multiple parameters is identified according to the preset rules,
And reject, the wrong data includes misreading data and transmission fault to lead to the wrong data of appearance.
Specifically, when acquiring the multiple parameters, may cause to misread due to transducer sensitivity problem data with
And lead to wrong data occur because transmitting shortage of data caused by network transmission technology failure, the data of misreading can be led to
Cross repeat to read multiple data in real time correct it is described misread data, and error in data caused by transmission fault is then using repeating to pass
Defeated or Transmission function is corrected, so as to obtain the correction multiple parameters, so that the correction multiple parameters
It is more acurrate.
Next execute step 103, in this step, by it is described correction multiple parameters in the underground structure work
The unrelated redundant data of journey safety evaluatio is filtered.
In the specific implementation process, the redundant data include in sensor data acquisition data frequency, unit,
Error repeats the data such as the sensor number read, is then filtered the redundant data, leaves monitoring to be treated
Data can be mentioned effectively so that the data volume stored in database tails off, and greatly simplifies the structure of database to be treated
The working efficiency of high database.
Next execute step 104, in this step, according to the filtered correction multiple parameters, multiple parameters and
Between the relational model of time, multiple parameters and the correlation analysis model of monitoring parameters and construction speed, obtain describedly
The stabilization critical parameter of lower structures.
In the specific implementation process, it is analyzed by historical data of the regression analysis model to the underground structure,
It obtains between the relational models of the multiple parameters and time, multiple parameters and the degree of association point of monitoring parameters and construction speed
Model is analysed, and according to the filtered correction multiple parameters and correlation analysis model, obtains the stable critical parameter.
Specifically, the regression analysis model may include Exponential Curve Method, hyperbolic method, Asaoka method, grey colour system
System method, neural network and common linear regression, conic section return the methods of, by Exponential Curve Method, hyperbolic method,
Asaoka method, Grey System Method, neural network, linear regression method and the conic section Return Law divide the historical data
Analysis, obtains multiple matched curves；The first matched curve, first matched curve and institute are determined from the multiple matched curve
The difference value for stating historical data is less than the difference of any one of remaining matched curve matched curve and the historical data
Value；Based on first matched curve, the correlation analysis model is obtained.
Specifically, passing through Exponential Curve Method, hyperbolic method, Asaoka method, Grey System Method, neural network and common
Linear regression, conic section return the methods of carry out analysis of history data, obtain the multiple matched curve, then therefrom select
Fitting result of the highest matched curve of the degree of correlation as monitoring data, wherein the highest matched curve of the degree of correlation is institute
State the first matched curve.
Specifically, the prediction curve of all kinds of monitoring data can be drawn according to data regression result, each monitoring ginseng
Number can obtain the prediction curve cluster of different prediction techniques, obtain all kinds of monitoring parameters optimum prediction curves on this basis, lead to
The comparison of measured curve and prediction curve is crossed, the possible changing value of the following construction parameter is obtained, it is bent by measured curve and prediction
Line evaluates the stability of engineering structure in work progress and safety.
Specifically, the multiple parameters of acquisition can be calculated and be handled using parallel computing, it is parallel to count
The multiple parameters are realized parallel work-flow in analytical calculation by calculation technology, substantially increase data processing speed and work effect
Rate.
Specifically, underground structure generates a large amount of data information in the short time in construction process, it is parallel to count
Calculation technology effectively can be stored, be analyzed, be calculated and be handled to the multiple parameters of acquisition, be handled using parallel computing
Stability analysis ability of the analysis underground structure in construction process can be improved in mass data, to malformation and ginseng
More accurately prediction and evaluation are made in several variations, and the Circular Shaft diaphram wall under complex geological condition is preferably instructed to apply
Work.
Specifically, engineering structure stress, strain, displacement, soil can be generated according to the historical data of the underground structure
The time effect curve of the parameters such as pressure, pore water pressure, this graph illustrate the initial data of each monitoring point or change datas
Change with time situation；And the multiple parameters can also be analyzed, same time point is drawn based on the analysis results,
Identical parameters different measuring points analysis on monitoring result curve, by choosing different time points, so that it may obtain all kinds of parameter spaces
Effect time cluster curve, the set of curves describe in various time points, the variation that the monitoring result of different measuring points is promoted with construction
Rule obtains engineering structure multiple parameters tau-effect set of curves.Two class curves can fast, intuitively grasp Parameters variation
The regularity of tau-effect；So that this method can obtain the song with the unit time of multiple parameters according to requirement of engineering
Line variation diagram realizes and the functions such as is averaging, is averaging within single month when the odd-numbered day of multiple parameters is averaging, is single, while when obtaining some
Between put in multiple parameters correlation curves, realize in the same coordinate, the comparative analysis of multi-parameter curve and draw polynary ginseng
Several positions-time race's curve etc., realizes the correlation analysis of multiple parameters on this basis, and can facilitate engineering pipe
The Time-space effect of reason person's project monitor and control parameter obtains the assurance of an entirety.
The present invention draws above-mentioned curve using smoothed curve, and smoothed curve can select Lagrange and two kinds of cubic spline
Algorithm is preferentially chosen, and can add various markup informations in Drawing of Curve, such as common sensor parameters, construction speed,
The contents such as shaft excavation depth are used in construction speed account, to facilitate user to call.
Next step 105 is executed, in this step, is based on the stable critical parameter, acquisition is constructed with the underground
The corresponding working measure of object, the working measure is for constructing to the underground structure, so that the underground is constructed
The stability of object in the construction process is in preset threshold.
In the specific implementation process, judge whether the stable critical parameter is greater than a preset threshold；It is commented in the stabilization
When sentencing parameter greater than the preset threshold, reinforcing strengthening measure corresponding with the underground structure is obtained；It is commented in the stabilization
When sentencing parameter no more than the preset threshold, it can construct according to original working measure.
Specifically, the preset threshold is e.g. not less than 80% value, such as can be 80%, 85%, 90% etc.,
If by step 104 get the stable critical parameter be 90%, and the preset threshold be 85% when, due to 90%>
85%, then it can continue to construct according to original working measure；If the preset threshold is 92%, due to 90%<92%,
It after then needing to carry out reinforcing strengthening measure, just constructs, is existed with the stability of the underground structure in the construction process
In the preset threshold.
Specifically, when the underground structure is vertical shaft circular diaphragm wall structure, the stable critical parameter packet
Include the stability against slope coefficient of wall, the stability against overturning coefficient of wall, reinforcing bar maximum stress and tensile strength ratio and
The ratio of concrete stress and compression strength, by the interpretation of result to the filtered correction multiple parameters, described in acquisition
The critical parameter value of the dangerouse cross-section of underground structure is adopted according to the difference of parameter value and the requirement of engineering construction warning grade
Corresponding working measure is taken, in the very high situation of warning grade, takes corresponding reinforcing strengthening measure, and corrects engineering method and sets
Count parameter.
In another embodiment, pass through the multiple parameters and the relational model of time and the correlation analysis model pair
The filtered correction multiple parameters are analyzed, and obtain the journey stability and safety of the underground structure, and by its
The comparison of safe early warning standard corresponding with the underground structure is made corresponding warning grade and is judged and early warning treatment measures
Response, for example, can be monitored in real time the underground structure surrounding soil horizontal displacement, pore water pressure, soil pressure variation feelings
Condition, especially prolonged abnormal sudden change point delimit grade according to forecasting criterion and provide solution.
The one or more technical solutions provided in the embodiment of the present invention, have at least the following technical effects or advantages：
Since the embodiment of the present application is to identify and reject polynary ginseng of the underground structure of acquisition in construction process
Wrong data in number obtains correction multiple parameters and is filtered, so that the filtered correction multiple parameters accuracy
It is higher, further according between the filtered correction multiple parameters, multiple parameters and the relational model of time, multiple parameters and
The correlation analysis model of monitoring parameters and construction speed obtains the stabilization critical parameter of the underground structure, by institute
State correction multiple parameters filtered, can reduce calculation amount, improve work efficiency, and according to the multiple parameters with
The relational model of time and the correlation analysis model analyze the filtered correction multiple parameters, due to filtering
The accuracy of the correction multiple parameters afterwards is higher, so that the accuracy of the stable critical parameter obtained is also higher, into
And make based on the stable critical parameter, obtaining working measure corresponding with the underground structure also can be with the underground
The current condition of construction of structures more matches, so as to improve current condition of construction and of working measure of underground structure
With degree, stability and safety in underground structure work progress is enabled to be improved.
Based on technical concept same as mentioned above, one embodiment of the invention additionally provides a kind of underground structure monitoring
The equipment of data processing and analysis, referring to fig. 2, the equipment includes：
Collector 201, for acquiring multiple parameters of the underground structure in construction process, the multiple parameters packet
Stress parameters, strain parameter, displacement parameter and the underground of the underground structure in construction process is included to construct
The hydrogeological parameter of each geologic horizon of object local environment；
Memory 202 is electrically connected the collector, for storing the multiple parameters；
Processor 203 is electrically connected the memory, for being based on a preset rules, identifies and rejects the polynary ginseng
Wrong data in number obtains correction multiple parameters；And by it is described correction multiple parameters in the underground structure
The unrelated redundant data of safety evaluatio is filtered；Further according to the filtered correction multiple parameters, multiple parameters and when
Between relational model, between multiple parameters and the correlation analysis model of monitoring parameters and construction speed, obtain the underground
The stabilization critical parameter of structures；And it is based on the stable critical parameter, obtain construction corresponding with the underground structure
Measure, the working measure is for constructing to the underground structure, so that the underground structure is in work progress
In stability in preset threshold.
Wherein, collector 201 is, for example, the equipment such as data collecting card, and further, memory 202 for example can be firmly
Disk, memory, USB etc. store equipment, and further, processor 203 is, for example, to handle the electronic equipments such as chip, single-chip microcontroller.
Specifically, processor 203, specifically for by regression analysis model to the historical data of the underground structure into
Row analysis, obtains between the relational models of the multiple parameters and time, multiple parameters and monitoring parameters and construction speed
Correlation analysis model.
Specifically, processor 203, be specifically used for by Exponential Curve Method, hyperbolic method, Asaoka method, Grey System Method,
Neural network, linear regression method and the conic section Return Law analyze the historical data, obtain multiple matched curves；
The first matched curve is determined from the multiple matched curve, first matched curve and the difference value of the historical data are small
In the difference value of any one of remaining matched curve matched curve and the historical data；It is bent based on first fitting
Line, obtains between the multiple parameters and the relational model of time, multiple parameters and monitoring parameters and construction speed are associated with
Spend analysis model.
Specifically, processor 203, specifically for judging whether the stable critical parameter is greater than a preset threshold；Institute
When stating stable critical parameter greater than the preset threshold, reinforcing strengthening measure corresponding with the underground structure is obtained.
The one or more technical solutions provided in the embodiment of the present invention, have at least the following technical effects or advantages：
Since the embodiment of the present application is to identify and reject polynary ginseng of the underground structure of acquisition in construction process
Wrong data in number obtains correction multiple parameters and is filtered, so that the filtered correction multiple parameters accuracy
It is higher, further according between the filtered correction multiple parameters, multiple parameters and the relational model of time, multiple parameters and
The correlation analysis model of monitoring parameters and construction speed obtains the stabilization critical parameter of the underground structure, by institute
State correction multiple parameters filtered, can reduce calculation amount, improve work efficiency, and according to the multiple parameters with
The relational model of time and the correlation analysis model analyze the filtered correction multiple parameters, due to filtering
The accuracy of the correction multiple parameters afterwards is higher, so that the accuracy of the stable critical parameter obtained is also higher, into
And make based on the stable critical parameter, obtaining working measure corresponding with the underground structure also can be with the underground
The current condition of construction of structures more matches, so as to improve current condition of construction and of working measure of underground structure
With degree, stability and safety in underground structure work progress is enabled to be improved.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
It for member, without departing from the principle of the present invention, can also make several improvements, these improvement also should be regarded as of the invention
Protection scope.The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest scope of cause.
Claims (2)
1. a kind of method of underground structure monitoring data processing and analysis, which is characterized in that the method includes：
Multiple parameters of the underground structure in construction process are obtained, the multiple parameters include that the underground is constructed
Stress parameters of the object in construction process, strain parameter, displacement parameter and the underground structure local environment it is each
The hydrogeological parameter of a geologic horizon；
Based on a preset rules, the wrong data in the multiple parameters is identified and rejected, obtains correction multiple parameters；
The redundant data unrelated with the underground structure safety evaluatio in the correction multiple parameters was carried out
Filter；
According between the filtered correction multiple parameters, multiple parameters and the relational model of time, multiple parameters and supervising
The correlation analysis model for surveying parameter and construction speed, obtains the stabilization critical parameter of the underground structure；
Based on the stable critical parameter, working measure corresponding with the underground structure is obtained, the working measure is used for
It constructs to the underground structure；
Wherein, described to be based on the stable critical parameter, working measure corresponding with the underground structure is obtained, it is specific to wrap
It includes：
Judge whether the stable critical parameter is greater than a preset threshold；
When the stable critical parameter is greater than the preset threshold, obtains reinforcing strengthening corresponding with the underground structure and arrange
It applies；
Wherein, between the multiple parameters and the relational model of time, the multiple parameters and pass of monitoring parameters and construction speed
The acquisition methods of connection degree analysis model, specially：It is carried out by historical data of the regression analysis model to the underground structure
Analysis, obtains between the relational models of the multiple parameters and time, multiple parameters and the pass of monitoring parameters and construction speed
Connection degree analysis model；
Wherein, described to be analyzed by historical data of the regression analysis model to the underground structure, it obtains described polynary
Between the relational model of parameter and time, multiple parameters and the correlation analysis model of monitoring parameters and construction speed, specifically
Including：Pass through Exponential Curve Method, hyperbolic method, Asaoka method, Grey System Method, neural network, linear regression method and secondary
Curvilinear regression method analyzes the historical data, obtains multiple matched curves；
The first matched curve, the difference of first matched curve and the historical data are determined from the multiple matched curve
Value is less than the difference value of any one of remaining matched curve matched curve and the historical data；
Based on first matched curve, obtains between the relational models of the multiple parameters and time, multiple parameters and supervise
Survey the correlation analysis model of parameter and construction speed；
Wherein, when the underground structure is vertical shaft circular diaphragm wall structure, the stable critical parameter includes wall
Stability against slope coefficient, wall stability against overturning coefficient, reinforcing bar maximum stress and tensile strength ratio and concrete
The ratio of stress and compression strength.
2. the equipment of a kind of underground structure monitoring data processing and analysis, which is characterized in that the equipment includes：
Collector, for acquiring multiple parameters of the underground structure in construction process, the multiple parameters include described
Locating for stress parameters, strain parameter, displacement parameter and the underground structure of the underground structure in construction process
The hydrogeological parameter of each geologic horizon of environment；
Memory is electrically connected the collector, for storing the multiple parameters；
Processor is electrically connected the memory, for being based on a preset rules, identifies and rejects the mistake in the multiple parameters
Accidentally data obtain correction multiple parameters；And commenting in multiple parameters with the underground structure safety is corrected by described
The unrelated redundant data of valence is filtered；Further according to the relationship of the filtered correction multiple parameters, multiple parameters and time
Between model, multiple parameters and the correlation analysis model of monitoring parameters and construction speed, the underground structure is obtained
Stablize critical parameter；And it is based on the stable critical parameter, and working measure corresponding with the underground structure is obtained, it is described
Working measure is for constructing to the underground structure；
Wherein, the processor, specifically for judging whether the stable critical parameter is greater than a preset threshold；In the stabilization
When critical parameter is greater than the preset threshold, reinforcing strengthening measure corresponding with the underground structure is obtained；
Wherein, the processor, specifically for being divided by historical data of the regression analysis model to the underground structure
Analysis, obtains between the multiple parameters and the relational model of time, multiple parameters and monitoring parameters and construction speed are associated with
Spend analysis model；
Wherein, the processor is specifically used for passing through Exponential Curve Method, hyperbolic method, Asaoka method, Grey System Method, nerve
Network technique, linear regression method and the conic section Return Law analyze the historical data, obtain multiple matched curves；From institute
It states and determines the first matched curve in multiple matched curves, the difference value of first matched curve and the historical data is less than surplus
The difference value of any one of remaining matched curve matched curve and the historical data；Based on first matched curve,
It obtains between the relational models of the multiple parameters and time, multiple parameters and the degree of association point of monitoring parameters and construction speed
Analyse model.
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| CN109643087B (en) * | 2015-10-15 | 2021-09-10 | 埃森哲环球服务有限公司 | System and method for selecting controllable parameters for operational safety of a device |
| CN106169016A (en) * | 2016-06-17 | 2016-11-30 | 安徽理工大学 | A kind of construction method of coking coal sulfur-bearing macromolecular structure model |
| CN107943823B (en) * | 2017-10-17 | 2021-12-14 | 北京壹陆科技发展有限公司 | Real-time big data processing platform of digital construction |
| CN108881288A (en) * | 2018-07-18 | 2018-11-23 | 广东惠利普路桥信息工程有限公司 | Construction site Data processing rotation control apparatus |
| CN112030927A (en) * | 2020-08-19 | 2020-12-04 | 广州市城市建设工程监理公司 | Soft soil layer surcharge preloading monitoring system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101246217A (en) * | 2008-03-17 | 2008-08-20 | 陈洪凯 | Dangerous rock falling calamity early warning instrument and method thereof |
| CN101608548A (en) * | 2009-07-16 | 2009-12-23 | 上海交通大学 | Closely construct and protect the method for underground structure in single targe structure side |
| CN102979071A (en) * | 2012-12-04 | 2013-03-20 | 中铁二十一局集团有限公司 | Remote intelligent monitoring and three-dimensional early warning method and system for stress stability of deep foundation pit |
| CN103310039A (en) * | 2013-05-22 | 2013-09-18 | 青岛理工大学 | Method for detecting influence of underground construction on ground building structure |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103106542A (en) * | 2012-12-13 | 2013-05-15 | 长安大学 | Data analyzing and processing system |
-
2014
- 2014-12-29 CN CN201410838362.8A patent/CN104462855B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101246217A (en) * | 2008-03-17 | 2008-08-20 | 陈洪凯 | Dangerous rock falling calamity early warning instrument and method thereof |
| CN101608548A (en) * | 2009-07-16 | 2009-12-23 | 上海交通大学 | Closely construct and protect the method for underground structure in single targe structure side |
| CN102979071A (en) * | 2012-12-04 | 2013-03-20 | 中铁二十一局集团有限公司 | Remote intelligent monitoring and three-dimensional early warning method and system for stress stability of deep foundation pit |
| CN103310039A (en) * | 2013-05-22 | 2013-09-18 | 青岛理工大学 | Method for detecting influence of underground construction on ground building structure |
Non-Patent Citations (2)
| Title |
|---|
| 基于数据分析的预测理论与方法研究;王晓佳;《中国博士学位论文全文数据库》;20130630;第2013年卷(第6期);第1.3节 * |
| 数字地下空间与工程;朱合华 等;《岩石力学与工程学报》;20071130;第26卷(第11期);全文 * |
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