CN104462855A - Underground structure monitoring data processing and analyzing method and device - Google Patents

Underground structure monitoring data processing and analyzing method and device Download PDF

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CN104462855A
CN104462855A CN201410838362.8A CN201410838362A CN104462855A CN 104462855 A CN104462855 A CN 104462855A CN 201410838362 A CN201410838362 A CN 201410838362A CN 104462855 A CN104462855 A CN 104462855A
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multiple parameters
underground structure
parameter
parameters
matched curve
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CN104462855B (en
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焦如义
肖尊群
王平国
李胜新
曹会清
江勇
张宝强
周号
袁欣然
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China National Petroleum Corp
China Petroleum Pipeline Bureau Co Ltd
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China National Petroleum Corp
China Petroleum Pipeline Bureau Co Ltd
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Abstract

The invention discloses an underground structure monitoring data processing and analyzing method and device. Multivariate parameters of an underground structure in the engineering construction process are obtained; on the basis of a preset rule, wrong data in the multivariate parameters are recognized and rejected, and corrected multivariate parameters are obtained; redundant data, irrelevant with the engineering safety assessment of the underground structure, in the corrected multivariate parameters are filtered out; stable evaluation parameters of the underground structure are obtained according to the filtered corrected multivariate parameters, a multivariate parameter and time relation model, an association analysis model among the multivariate parameters and an association analysis model of monitoring parameters and the construction progress; construction measures corresponding to the underground structure are obtained on the basis of the stable evaluation parameters and are used for constructing the underground structure.

Description

The method and apparatus of the process of a kind of underground structure monitor data and analysis
Technical field
The present invention relates to technical field of civil engineering, be specifically related to the method and apparatus of the process of a kind of underground structure monitor data and analysis.
Background technology
Engineering monitoring is an important topic in engineering research field always, particularly the monitoring of the real time data in construction work of underground structure be experienced by the development of decades, part monitoring project has incorporated design and the job specifications of correlation engineering, project monitor and control is also manually gathered by initial scene, process develop into real-time online collection of today, real-time online transmission, particularly along with the development of 3G, 4G wireless Internet technologies, Radio Transmission Technology will obtain in project data field of monitoring and apply more and more widely.Although online real time collecting and transmission system allow project data monitoring intelligent, real time implementation, and the project monitor and control data of magnanimity can be obtained at short notice, have tremendous progress compared to initial artificial collection.
But, after normally gathering the data of underground structure in prior art, judge whether to need corresponding working measure to construct according to the experience of staff, thus there will be to have employed without the need to carrying out reinforcing enhancements and reinforce enhancements and construct, and need adopt when reinforcing enhancements and do not adopt, make the problem that the current condition of construction matching degree of working measure and the described underground structure taked is low.
Summary of the invention
The embodiment of the present invention is by providing the method and apparatus of the process of a kind of underground structure monitor data and analysis, the current condition of construction of underground structure and the matching degree of working measure can be improved, the stability in underground structure work progress and security are all improved.
Embodiments provide the method for the process of a kind of underground structure monitor data and analysis, described method comprises:
Obtain the multiple parameters of described underground structure in construction process, described multiple parameters comprises the stress parameters of described underground structure in construction process, strain parameter, displacement parameter, and the hydrogeological parameter of each geologic horizon of environment residing for described underground structure;
Based on a preset rules, identify and reject the misdata in described multiple parameters, obtaining correcting multiple parameters;
The redundant data irrelevant with described underground structure safety evaluatio in described correction multiple parameters is filtered;
According to described correction multiple parameters, multiple parameters and the relational model of time after filtering, between multiple parameters and the correlation analysis model of monitoring parameter and construction speed, obtain the stable critical parameter of described underground structure;
Based on described stable critical parameter, obtain the working measure corresponding with described underground structure, described working measure is used for constructing to described underground structure.
Optionally, between the relational model of described multiple parameters and time, multiple parameters and the acquisition methods of the correlation analysis model of monitoring parameter and construction speed, be specially:
Analyzed by the historical data of regression analysis model to described underground structure, obtain between the relational model of described multiple parameters and time, multiple parameters and the correlation analysis model of monitoring parameter and construction speed.
Optionally, describedly to be analyzed by the historical data of regression analysis model to described underground structure, obtain between the relational model of described multiple parameters and time, multiple parameters and the correlation analysis model of monitoring parameter and construction speed, specifically comprise:
By Exponential Curve Method, hyperbolic method, Asaoka method, Grey System Method, neural network, linear regression method and the quafric curve Return Law, described historical data is analyzed, obtain multiple matched curve;
From described multiple matched curve, determine the first matched curve, the difference value of described first matched curve and described historical data is less than the difference value of any one matched curve in remaining matched curve and described historical data;
Based on described first matched curve, obtain between the relational model of described multiple parameters and time, multiple parameters and the correlation analysis model of monitoring parameter and construction speed.
Optionally, when described underground structure is vertical shaft circular diaphragm wall structure, described stable critical parameter comprises the ratio of the stability against slope coefficient of body of wall, the stability against overturning coefficient of body of wall, reinforcing bar maximum stress and tensile strength ratio and concrete stress and compressive strength.
Optionally, described based on described stable critical parameter, obtain the working measure corresponding with described underground structure, specifically comprise:
Judge whether described stable critical parameter is greater than a predetermined threshold value;
When described stable critical parameter is greater than described predetermined threshold value, obtain the reinforcing enhancements corresponding with described underground structure.
The application another embodiment still provides the equipment of the process of a kind of underground structure monitor data and analysis, described equipment comprises:
Collector, for gathering the multiple parameters of underground structure in construction process, described multiple parameters comprises the stress parameters of described underground structure in construction process, strain parameter, displacement parameter, and the hydrogeological parameter of each geologic horizon of environment residing for described underground structure;
Storer, is electrically connected described collector, for storing described multiple parameters;
Processor, is electrically connected described storer, for based on a preset rules, identifies and rejects the misdata in described multiple parameters, obtains correcting multiple parameters; And the redundant data irrelevant with described underground structure safety evaluatio in described correction multiple parameters is filtered; Again according to described correction multiple parameters, multiple parameters and the relational model of time after filtering, between multiple parameters and the correlation analysis model of monitoring parameter and construction speed, obtain the stable critical parameter of described underground structure; And based on described stable critical parameter, obtaining the working measure corresponding with described underground structure, described working measure is used for constructing to described underground structure, to make the stability of described underground structure in work progress in predetermined threshold value.
Optionally, described processor, specifically for being analyzed by the historical data of regression analysis model to described underground structure, obtain between the relational model of described multiple parameters and time, multiple parameters and the correlation analysis model of monitoring parameter and construction speed.
Optionally, described processor, specifically for being analyzed described historical data by Exponential Curve Method, hyperbolic method, Asaoka method, Grey System Method, neural network, linear regression method and the quafric curve Return Law, obtains multiple matched curve; From described multiple matched curve, determine the first matched curve, the difference value of described first matched curve and described historical data is less than the difference value of any one matched curve in remaining matched curve and described historical data; Based on described first matched curve, obtain between the relational model of described multiple parameters and time, multiple parameters and the correlation analysis model of monitoring parameter and construction speed.
Optionally, described processor, specifically for judging whether described stable critical parameter is greater than a predetermined threshold value; When described stable critical parameter is greater than described predetermined threshold value, obtain the reinforcing enhancements corresponding with described underground structure.
The one or more technical schemes provided in the embodiment of the present invention, at least have following technique effect or advantage:
Because the embodiment of the present application is the misdata identifying and reject in the multiple parameters of underground structure in construction process gathered, obtain correcting multiple parameters and filtering, make the described correction multiple parameters degree of accuracy after filtering higher, again according to the described correction multiple parameters after filtration, the relational model of multiple parameters and time, between multiple parameters and the correlation analysis model of monitoring parameter and construction speed, obtain the stable critical parameter of described underground structure, owing to filtering described correction multiple parameters, calculated amount can be reduced, improve work efficiency, and according to described multiple parameters and the relational model of time and described correlation analysis model, the described correction multiple parameters after filtering is analyzed, because the degree of accuracy of the described correction multiple parameters after filtration is higher, make the degree of accuracy of the described stable critical parameter obtained also higher, and then make based on described stable critical parameter, obtain the working measure corresponding with described underground structure also more to mate with the current condition of construction of described underground structure, thus the current condition of construction of underground structure and the matching degree of working measure can be improved, the stability in underground structure work progress and security can be made all to be improved.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the method for the process of underground structure monitor data and analysis in the embodiment of the present invention;
Fig. 2 is the structural drawing of the equipment of the process of underground structure monitor data and analysis in the embodiment of the present invention.
Embodiment
The embodiment of the present invention is by providing the method and apparatus of the process of a kind of underground structure monitor data and analysis, the current condition of construction of underground structure and the matching degree of working measure can be improved, the stability in underground structure work progress and security are all improved.
In order to better understand technique scheme, below in conjunction with Figure of description and concrete embodiment, technique scheme is described in detail.
See Fig. 1, one embodiment of the invention provides the method for the process of a kind of underground structure monitor data and analysis, comprises the following steps:
Step 101: obtain the multiple parameters of described underground structure in construction process, described multiple parameters comprises the stress parameters of described underground structure in construction process, strain parameter, displacement parameter, and the hydrogeological parameter of each geologic horizon of environment residing for described underground structure;
Step 102: based on a preset rules, identifies and rejects the misdata in described multiple parameters, obtains correcting multiple parameters;
Step 103: the redundant data irrelevant with described underground structure safety evaluatio in described correction multiple parameters is filtered;
Step 104: according to described correction multiple parameters, multiple parameters and the relational model of time after filtering, between multiple parameters and the correlation analysis model of monitoring parameter and construction speed, obtain the stable critical parameter of described underground structure;
Step 105: based on described stable critical parameter, obtain the working measure corresponding with described underground structure, described working measure is used for constructing to described underground structure, to make the stability of described underground structure in work progress in predetermined threshold value.
Wherein, in a step 101, described multiple parameters is that the project data monitoring equipment formed according to universal data collecting system and sensor is monitored and obtained, and can be stored in database, can transfer at any time and upgrade as primary monitoring data.Meanwhile, and be aided with on-the-spot visual monitor, ground displacement personal monitoring, enter the equipment such as interior soil excavation severity control, excavation progress and 3 D animation simulation.
In specific implementation process, according to described universal data collecting system, there is many equipment, the feature that the data volume that Real-time Collection brings is large, conveniently to data management, manage better and preserve data, whole Database Systems are provided with real-time data collection storehouse, modularization reading database, historical statistical data storehouse, this three subdata bases subordination is in raw data base, for realizing the real-time update to data, process, real-time analysis, the functions such as real-time estimate, the foundation of real-time data base is realized by arranging buffer zone in internal memory, modularization staqtistical data base transfers the data in the Modular Data read module of universal data collecting system, meet the process of the Monitoring Data of the stationary monitoring frequency, this module also has the implication of real-time update, but often with time, day, the long periods such as week are unit.Historical statistical data can be the data statistics of logarithm value emulation technology simulation, also can be the statistics of the Historical Monitoring data of long-time construction monitoring, and said statistics is here for directly instructing the ultimate process data of the important parameter of engineering construction.
Concrete, when obtaining the multiple parameters of described underground structure in construction process, can be dock with described universal data collecting system, can realize directly reading from collection in worksite device working-yard by wireless or wire transmission and be stored in multiple parameters in data acquisition device, also the multiple parameters on house computers can be obtained by internet technology of sharing, wherein, the multiple parameters receiving spot sensor is stored in described house computers by described universal data collecting system, and the multiple parameters of collection is stored in described house computers by described universal data collecting system in real time, make the multiple parameters in described house computers can real-time update.
Concrete, docking with described universal data collecting system, when receiving the described multiple parameters of described universal data collecting system transmission, integrality is carried out to the described multiple parameters received and differentiates process, the key mark data loss avoiding unstable networks to cause occurring in remote data acquisition or importing process, alert process is carried out to the time point that above-mentioned situation occurs, data-transmission interruptions process is carried out to the time period that above-mentioned situation occurs.
Concrete, when storing described multiple parameters, in the database that described multiple parameters can be stored into, also real-time update is carried out to described database, by directly reading the data in described universal data collecting system, the multiple parameters stored in database described in real-time update can be carried out.
Such as, for Circular Shaft diaphram wall, the multiple parameters gathering described shape vertical shaft diaphram wall comprises the soil excavation degree of 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 strains, Wall back pressure, wall back of the body interstitial hydraulic pressure, the outer soil body surface sedimentation of vertical shaft, wall back of the body soil internal horizontal displacement, joist steel surface strain in vertical shaft, each monitoring parameter is all carry out multi-point monitoring according to requirement of engineering, formed and laterally monitor section and vertically monitor section.
Following execution step 102, in this step, based on a preset rules, identifies and rejects the misdata in described multiple parameters, obtains correcting multiple parameters.
In specific implementation process, the misdata in described multiple parameters identified according to described preset rules, and reject, described misdata comprises the misdata misread data and transmission fault and cause occurring.
Specifically, when gathering described multiple parameters, the transmission shortage of data misreading data and cause because of network transmission technology fault may be caused to cause occurring misdata due to transducer sensitivity problem, data can be misread described in repeating to read repeatedly data in real time to correct for described data of misreading, the error in data that transmission fault causes then adopts the function repeating transmission or Transmission to correct, thus described correction multiple parameters can be obtained, make described correction multiple parameters more accurate.
Following execution step 103, in this step, filters the redundant data irrelevant with described underground structure safety evaluatio in described correction multiple parameters.
In specific implementation process, described redundant data comprises for the frequency in sensor data acquisition data, unit, error, repeats the data such as sensor number that read, then described redundant data is filtered, stay and need Monitoring Data to be processed, the data volume stored in database is tailed off, and greatly simplify the structure needing database to be processed, effectively can improve the work efficiency of database.
Following execution step 104, in this step, according to described correction multiple parameters, multiple parameters and the relational model of time after filtering, between multiple parameters and the correlation analysis model of monitoring parameter and construction speed, obtain the stable critical parameter of described underground structure.
In specific implementation process, analyzed by the historical data of regression analysis model to described underground structure, obtain between the relational model of described multiple parameters and time, multiple parameters and the correlation analysis model of monitoring parameter and construction speed, and according to the described correction multiple parameters after filtration and correlation analysis model, obtain described stable critical parameter.
Specifically, described regression analysis model can comprise Exponential Curve Method, hyperbolic method, Asaoka method, Grey System Method, neural network and the method such as common linear regression, quafric curve recurrence, by Exponential Curve Method, hyperbolic method, Asaoka method, Grey System Method, neural network, linear regression method and the quafric curve Return Law, described historical data is analyzed, obtain multiple matched curve; From described multiple matched curve, determine the first matched curve, the difference value of described first matched curve and described historical data is less than the difference value of any one matched curve in remaining matched curve and described historical data; Based on described first matched curve, obtain described correlation analysis model.
Concrete, analysis of history data are carried out by Exponential Curve Method, hyperbolic method, Asaoka method, Grey System Method, neural network and the method such as common linear regression, quafric curve recurrence, obtain described multiple matched curve, then the matched curve that therefrom the selection degree of correlation is the highest is as the fitting result of Monitoring Data, wherein, the matched curve that the described degree of correlation is the highest is described first matched curve.
Concrete, the prediction curve of all kinds of Monitoring Data can be drawn according to data regression result, each monitoring parameter can obtain the prediction curve bunch of different Forecasting Methodology, obtain all kinds of monitoring parameter optimum prediction curve on this basis, by the contrast of measured curve and prediction curve, obtain the changing value that following construction parameter is possible, by measured curve and prediction curve, the stability of engineering structure in work progress and security are evaluated.
Concrete, parallel computing can be adopted to calculate the described multiple parameters gathered and process, and described multiple parameters is realized parallel work-flow when analytical calculation by parallel computing, substantially increases data processing speed and work efficiency.
Concrete, underground structure produces a large amount of data messages in the short time in construction process, parallel computing can effectively store the multiple parameters gathered, analyze, calculate and process, utilize parallel computing process mass data to improve and analyze the stability analysis ability of underground structure in construction process, Forecast and evaluation is more accurately made to the change of malformation and parameter, better instructs the Circular Shaft construction of diaphragm wall under complex geological condition.
Concrete, can according to the historical data of described underground structure, generate engineering structure stress, strain, displacement, soil pressure, the isoparametric time effect curve of pore water pressure, this graph illustrate raw data or the translation data situation over time of each monitoring point; And can also analyze described multiple parameters, same time point is drawn according to analysis result, identical parameters different measuring points analysis on monitoring result curve, by choosing different time points, just can obtain all kinds of parameter space Effect time bunch curve, this curve family describes in each time point, and the monitoring result of different measuring points, with the Changing Pattern of construction propelling, obtains engineering structure multiple parameters tau-effect curve family.Two class curves can grasp the regularity of the tau-effect of Parameters variation fast, intuitively; And then make this method can according to requirement of engineering, obtain the curvilinear motion figure with the unit interval of multiple parameters, the odd-numbered day realizing multiple parameters is averaging, single time be averaging, the function such as Dan Yue is averaging, obtain multiple parameters correlation curve in certain time point simultaneously, realize in same coordinate, the comparative analysis of multi-parameter curve and position-time race's curve etc. of drafting multiple parameters, realize the correlation analysis of multiple parameters on this basis, and the Time-space effect of project manager's project monitor and control parameter can be facilitated to obtain an overall assurance.
The present invention adopts smooth curve to draw above-mentioned curve, smooth curve can select Lagrange and cubic spline two kinds of algorithms, preferentially choose, and can when Drawing of Curve, add various markup information, as contents such as conventional sensor parameters, construction speed, the shaft excavation degree of depth, in construction speed account, call to facilitate user.
Following execution step 105, in this step, based on described stable critical parameter, obtain the working measure corresponding with described underground structure, described working measure is used for constructing to described underground structure, to make the stability of described underground structure in work progress in predetermined threshold value.
In specific implementation process, judge whether described stable critical parameter is greater than a predetermined threshold value; When described stable critical parameter is greater than described predetermined threshold value, obtain the reinforcing enhancements corresponding with described underground structure; When described stable critical parameter is not more than described predetermined threshold value, can construct according to original working measure.
Specifically, described predetermined threshold value be such as be not less than 80% value, can be such as 80%, 85%, 90% etc., if getting described stable critical parameter by step 104 is 90%, and described predetermined threshold value is when being 85%, due to 90%>85%, then can proceed construction according to original working measure; If described predetermined threshold value is 92%, due to 90%<92%, then, after needing to carry out reinforcing enhancements, just construct, with the stability of described underground structure in work progress in described predetermined threshold value.
Concrete, when described underground structure is vertical shaft circular diaphragm wall structure, described stable critical parameter comprises the stability against slope coefficient of body of wall, the stability against overturning coefficient of body of wall, the ratio of reinforcing bar maximum stress and tensile strength ratio and concrete stress and compressive strength, by the interpretation of result to the described correction multiple parameters after filtration, obtain the critical parameter value of the dangerouse cross-section of described underground structure, according to the difference of parameter value and the requirement of engineering construction advanced warning grade, take corresponding working measure, when advanced warning grade is very high, take to reinforce enhancements accordingly, and revise engineering method and design parameter.
In another embodiment, by described multiple parameters and the relational model of time and described correlation analysis model, the described correction multiple parameters after filtering is analyzed, obtain journey stability and the security of described underground structure, and by the contrast of its safe early warning standard corresponding with described underground structure, make corresponding advanced warning grade to pass judgment on and the response of early warning treatment measures, such as can underground structure surrounding soil horizontal shift described in Real-Time Monitoring, pore water pressure, the situation of change of soil pressure, particularly abnormal sudden change point delimited grade according to forecasting criterion and provided solution for a long time.
The one or more technical schemes provided in the embodiment of the present invention, at least have following technique effect or advantage:
Because the embodiment of the present application is the misdata identifying and reject in the multiple parameters of underground structure in construction process gathered, obtain correcting multiple parameters and filtering, make the described correction multiple parameters degree of accuracy after filtering higher, again according to the described correction multiple parameters after filtration, the relational model of multiple parameters and time, between multiple parameters and the correlation analysis model of monitoring parameter and construction speed, obtain the stable critical parameter of described underground structure, owing to filtering described correction multiple parameters, calculated amount can be reduced, improve work efficiency, and according to described multiple parameters and the relational model of time and described correlation analysis model, the described correction multiple parameters after filtering is analyzed, because the degree of accuracy of the described correction multiple parameters after filtration is higher, make the degree of accuracy of the described stable critical parameter obtained also higher, and then make based on described stable critical parameter, obtain the working measure corresponding with described underground structure also more to mate with the current condition of construction of described underground structure, thus the current condition of construction of underground structure and the matching degree of working measure can be improved, the stability in underground structure work progress and security can be made all to be improved.
Based on the technical conceive identical with said method, one embodiment of the invention additionally provides the equipment of the process of a kind of underground structure monitor data and analysis, and see Fig. 2, described equipment comprises:
Collector 201, for gathering the multiple parameters of underground structure in construction process, described multiple parameters comprises the stress parameters of described underground structure in construction process, strain parameter, displacement parameter, and the hydrogeological parameter of each geologic horizon of environment residing for described underground structure;
Storer 202, is electrically connected described collector, for storing described multiple parameters;
Processor 203, is electrically connected described storer, for based on a preset rules, identifies and rejects the misdata in described multiple parameters, obtains correcting multiple parameters; And the redundant data irrelevant with described underground structure safety evaluatio in described correction multiple parameters is filtered; Again according to described correction multiple parameters, multiple parameters and the relational model of time after filtering, between multiple parameters and the correlation analysis model of monitoring parameter and construction speed, obtain the stable critical parameter of described underground structure; And based on described stable critical parameter, obtaining the working measure corresponding with described underground structure, described working measure is used for constructing to described underground structure, to make the stability of described underground structure in work progress in predetermined threshold value.
Wherein, collector 201 is such as the equipment such as data collecting card, and further, storer 202 can be such as the memory devices such as hard disk, internal memory, USB, and further, processor 203 is such as the electronic equipment such as process chip, single-chip microcomputer.
Concrete, processor 203, specifically for being analyzed by the historical data of regression analysis model to described underground structure, obtain between the relational model of described multiple parameters and time, multiple parameters and the correlation analysis model of monitoring parameter and construction speed.
Concrete, processor 203, specifically for being analyzed described historical data by Exponential Curve Method, hyperbolic method, Asaoka method, Grey System Method, neural network, linear regression method and the quafric curve Return Law, obtains multiple matched curve; From described multiple matched curve, determine the first matched curve, the difference value of described first matched curve and described historical data is less than the difference value of any one matched curve in remaining matched curve and described historical data; Based on described first matched curve, obtain between the relational model of described multiple parameters and time, multiple parameters and the correlation analysis model of monitoring parameter and construction speed.
Concrete, processor 203, specifically for judging whether described stable critical parameter is greater than a predetermined threshold value; When described stable critical parameter is greater than described predetermined threshold value, obtain the reinforcing enhancements corresponding with described underground structure.
The one or more technical schemes provided in the embodiment of the present invention, at least have following technique effect or advantage:
Because the embodiment of the present application is the misdata identifying and reject in the multiple parameters of underground structure in construction process gathered, obtain correcting multiple parameters and filtering, make the described correction multiple parameters degree of accuracy after filtering higher, again according to the described correction multiple parameters after filtration, the relational model of multiple parameters and time, between multiple parameters and the correlation analysis model of monitoring parameter and construction speed, obtain the stable critical parameter of described underground structure, owing to filtering described correction multiple parameters, calculated amount can be reduced, improve work efficiency, and according to described multiple parameters and the relational model of time and described correlation analysis model, the described correction multiple parameters after filtering is analyzed, because the degree of accuracy of the described correction multiple parameters after filtration is higher, make the degree of accuracy of the described stable critical parameter obtained also higher, and then make based on described stable critical parameter, obtain the working measure corresponding with described underground structure also more to mate with the current condition of construction of described underground structure, thus the current condition of construction of underground structure and the matching degree of working measure can be improved, the stability in underground structure work progress and security can be made all to be improved.
The above is only the preferred embodiment of the present invention, it should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention, can also make some improvement, and these improvement also should be considered as protection scope of the present invention.To the above-mentioned explanation of the disclosed embodiments, professional and technical personnel in the field are realized or uses the present invention.To be apparent for those skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein can without departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.

Claims (9)

1. a method for the process of underground structure monitor data and analysis, is characterized in that, described method comprises:
Obtain the multiple parameters of described underground structure in construction process, described multiple parameters comprises the stress parameters of described underground structure in construction process, strain parameter, displacement parameter, and the hydrogeological parameter of each geologic horizon of environment residing for described underground structure;
Based on a preset rules, identify and reject the misdata in described multiple parameters, obtaining correcting multiple parameters;
The redundant data irrelevant with described underground structure safety evaluatio in described correction multiple parameters is filtered;
According to described correction multiple parameters, multiple parameters and the relational model of time after filtering, between multiple parameters and the correlation analysis model of monitoring parameter and construction speed, obtain the stable critical parameter of described underground structure;
Based on described stable critical parameter, obtain the working measure corresponding with described underground structure, described working measure is used for constructing to described underground structure.
2. the method for claim 1, is characterized in that, between the relational model of described multiple parameters and time, multiple parameters and the acquisition methods of the correlation analysis model of monitoring parameter and construction speed, is specially:
Analyzed by the historical data of regression analysis model to described underground structure, obtain between the relational model of described multiple parameters and time, multiple parameters and the correlation analysis model of monitoring parameter and construction speed.
3. method as claimed in claim 2, it is characterized in that, describedly to be analyzed by the historical data of regression analysis model to described underground structure, obtain between the relational model of described multiple parameters and time, multiple parameters and the correlation analysis model of monitoring parameter and construction speed, specifically comprise:
By Exponential Curve Method, hyperbolic method, Asaoka method, Grey System Method, neural network, linear regression method and the quafric curve Return Law, described historical data is analyzed, obtain multiple matched curve;
From described multiple matched curve, determine the first matched curve, the difference value of described first matched curve and described historical data is less than the difference value of any one matched curve in remaining matched curve and described historical data;
Based on described first matched curve, obtain between the relational model of described multiple parameters and time, multiple parameters and the correlation analysis model of monitoring parameter and construction speed.
4. method as claimed in claim 3, it is characterized in that, when described underground structure is vertical shaft circular diaphragm wall structure, described stable critical parameter comprises the ratio of the stability against slope coefficient of body of wall, the stability against overturning coefficient of body of wall, reinforcing bar maximum stress and tensile strength ratio and concrete stress and compressive strength.
5. method as claimed in claim 4, is characterized in that, described based on described stable critical parameter, obtains the working measure corresponding with described underground structure, specifically comprises:
Judge whether described stable critical parameter is greater than a predetermined threshold value;
When described stable critical parameter is greater than described predetermined threshold value, obtain the reinforcing enhancements corresponding with described underground structure.
6. an equipment for the process of underground structure monitor data and analysis, is characterized in that, described equipment comprises:
Collector, for gathering the multiple parameters of underground structure in construction process, described multiple parameters comprises the stress parameters of described underground structure in construction process, strain parameter, displacement parameter, and the hydrogeological parameter of each geologic horizon of environment residing for described underground structure;
Storer, is electrically connected described collector, for storing described multiple parameters;
Processor, is electrically connected described storer, for based on a preset rules, identifies and rejects the misdata in described multiple parameters, obtains correcting multiple parameters; And the redundant data irrelevant with described underground structure safety evaluatio in described correction multiple parameters is filtered; Again according to described correction multiple parameters, multiple parameters and the relational model of time after filtering, between multiple parameters and the correlation analysis model of monitoring parameter and construction speed, obtain the stable critical parameter of described underground structure; And based on described stable critical parameter, obtaining the working measure corresponding with described underground structure, described working measure is used for constructing to described underground structure.
7. equipment as claimed in claim 6, it is characterized in that, described processor, specifically for being analyzed by the historical data of regression analysis model to described underground structure, obtain between the relational model of described multiple parameters and time, multiple parameters and the correlation analysis model of monitoring parameter and construction speed.
8. equipment as claimed in claim 7, it is characterized in that, described processor, specifically for being analyzed described historical data by Exponential Curve Method, hyperbolic method, Asaoka method, Grey System Method, neural network, linear regression method and the quafric curve Return Law, obtain multiple matched curve; From described multiple matched curve, determine the first matched curve, the difference value of described first matched curve and described historical data is less than the difference value of any one matched curve in remaining matched curve and described historical data; Based on described first matched curve, obtain between the relational model of described multiple parameters and time, multiple parameters and the correlation analysis model of monitoring parameter and construction speed.
9. equipment as claimed in claim 8, is characterized in that, described processor, specifically for judging whether described stable critical parameter is greater than a predetermined threshold value; When described stable critical parameter is greater than described predetermined threshold value, obtain the reinforcing enhancements corresponding with described underground structure.
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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

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