CN108647913A - A kind of data analysis deep foundation pit construction error method - Google Patents
A kind of data analysis deep foundation pit construction error method Download PDFInfo
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Abstract
The invention discloses a kind of data analysis deep foundation pit construction error methods, its key points of the technical solution are that：Include the following steps：S1：Collect data：The data for collecting measuring instrument measurement, the data for collecting designing unit's feedback, the data for collecting construction unit's feedback, the data of collection mechanism for monitoring feedback, the data for collecting safety supervision mechanism feedback, the data for collecting data and supervisor's feedback that unit in charge of construction feeds back.S2：Store data：The output collected in step S1 is stored into central server；S3：Analyze data：The data stored in central server are analyzed, multigroup construction data is compared, finding out construction error data has the data of bigger difference with normal data of constructing, and avoids the problem in work progress, ensures the Stability and veracity of construction.
Description
Technical field
The present invention relates to deep foundation pit construction field, more particularly to a kind of data analysis deep foundation pit construction error method.
Background technology
Authorization Notice No. is that the Chinese patent of CN103061322A discloses a kind of deep basal pit stability remote intelligent monitoring
And 3-dimensional digital comprehensive pre-warning method, include the following steps：（1）Select a deep basal pit as studied object；Investigate the depth
Foundation pit regional stratum hydrogeological engineering geological conditions obtains the deep basal pit region Rock And Soil physical and mechanical parameter；（2）Long-range prison
It surveys and data processing host is based on deep basal pit regional stratum hydrogeological engineering geological conditions, the deep basal pit region Rock And Soil physics
Mechanics parameter and continuous media fast Lagrangian analysis program FLAC3D establish deep pit digging stability three-dimensional comprehensive number
It is worth model；Deep basal pit three-dimensional visualization safe early warning is established based on VTK (Visualization Toolkit) business software system
Platform；（3）While going along with sb. to guard him pile driving construction：To the several surveys of setting synchronous with the comparable position of Guan Liang depth below deep basal pit top of the slope
Oblique instrument and several interstitial hydraulic pressure meters；Multiple inclinometers, bottom are set with stake axis parallel synchronous along fender post surface or fender post
The inclinometer in portion gos deep into pile top hereinafter, the inclinometer at top is concordant with Guan Liang top；Multiple pressure cells are installed along fender post surface
And multiple pore pressure gauges；Several hydrostatic levels are installed in deep basal pit top of the slope upper surface, are installed in Guan Liang upper surface more
A hydrostatic level；Each I-shaped bracing members both ends are installed by axle power meter；The synchronous installation audible-visual annunciator in scene；Acquire deep basal pit slope
Sedimentation, horizontal displacement, fender post week lateral earth pressure, I-steel axial force of the supports, foundation pit top of the slope and the fender post on top and fender post
All soil pore water pressure force datas, and it is transferred to long-range monitoring and data processing host, database file is generated, deep pit digging is steady
These data of qualitative three-dimensional comprehensive numerical model real-time calling；（4）Deep pit digging stability three-dimensional comprehensive numerical model utilizes
Obtained initial array data completes self parameters revision and provides each parameter model threshold value, the follow-up reality that model will obtain later
It surveys series data and carries out comprehensive stress, deformation analysis, and be compared with model parameter threshold value, pass through deep basal pit three-dimensional visualization
Safe early warning platform is showed and carries out classification safety early warning to super Vigilance parameter；Warning information is by connecting with computer
SMS module is sent to the mobile phone of site operation and floor control related personnel with mobile phone short messages, realizes that deep basal pit is stablized
Property distant early warning；Meanwhile warning information also passes back to installation work surface at the construction field (site) by visualizing safe early warning platform
Audible-visual annunciator carry out sound, light alarm, realize live early warning.Above-mentioned this deep basal pit method for early warning realizes and can connect in real time
Sedimentation, the horizontal displacement of continuous monitoring deep basal pit top of the slope and fender post, and real-time continuous monitoring fender post week lateral earth pressure, I-steel
Axial force of the supports, while the situation of change of continuous detection foundation pit top of the slope and fender post week soil pore water pressure power etc., and by measured data
It is real-time continuous to be transferred to long-range monitoring and data processing host, according to Real-time Monitoring Data, complete to deep basal pit Stability Classification
Early warning.However in actual work progress, deep basal pit is even constructed because the uncertainty of data can frequently result in construction error
The thing of reconstruction occurs.
Invention content
The object of the present invention is to provide a kind of data analysis deep foundation pit construction error methods, its advantage is that number can be collected
According to by data progress case study, help construction personnel evades falling these problems.
The present invention above-mentioned technical purpose technical scheme is that：A kind of data analysis deep basal pit is applied
Work error method, it is characterized in that：Include the following steps：
S1：Collect data：The data for collecting measuring instrument measurement, the data for collecting designing unit's feedback, collection construction unit are anti-
The data of feedback, the data for collecting safety supervision mechanism feedback, collect unit in charge of construction's feedback at the data for collecting mechanism for monitoring feedback
The data of data and supervisor's feedback；
S2：Store data：The output collected in step S1 is stored into central server；
S3：Analyze data：The data stored in central server are analyzed, multigroup construction data is compared, construction is found out and loses
Accidentally data have the data of bigger difference with normal data of constructing.
Through the above technical solutions, the larger data of data differences are found by above-mentioned method, it can be largely
Analyze leads to construction accident and the construction error problem in Deep foundation Pit excavation, to reduce the mistake constructed again
Construction accident occurs caused by error in journey before, by collecting data, the collection designing unit that measuring instrument measures
The data of feedback, the data for collecting mechanism for monitoring feedback, collect safety supervision mechanism feedback at the data for collecting construction unit's feedback
Data, collect unit in charge of construction feedback data and supervisor feedback data, can realize that various aspects are collected number
According to, and in central server complete paired data analysis, while data are stored, before being extracted at any time in order to construction personnel
Construction data is analyzed, and is largely reduced deep foundation pit construction error in this way, is prevented from constructing and bringing huge again
Loss, reduce unnecessary loss, while construction data is grasped at any time convenient for construction personnel, ensure the accuracy of construction and steady
It is qualitative.
The present invention is further arranged to：The S3 further includes the general value found out by multi-group data, and the general value is used
Staff compares as with reference to data in work progress.
Through the above technical solutions, each item data of the setting of general value for staff and construction compares, protect
The accuracy of card control construction data, reduces the error of construction.
The present invention is further arranged to：The algorithm of the general value is
Numerical value maximum 20 percent and numerical value are minimum in data 20 percent is removed, being averaged for remaining numerical value is found out
Value.
Through the above technical solutions, removal maximum 20 percent and numerical value it is minimum 20 percent can ensure number
According to Stability and veracity, prevent the inaccuracy because of data from leading to the error of integral construction, ensure that the stability of construction.
The present invention is further arranged to：Several storage elements, each storage element are provided in the central server
For storing the same class data in multi-group data.
Through the above technical solutions, several storage elements are arranged in central server in order to arrive purpose data classifying
Together, it is convenient for staff's transferring and analyzing to data first, secondly collecting and arranging convenient for data.
The present invention is further arranged to：Further include S4：The data constructed every time later are stored in corresponding in central server
Storage element in.
Through the above technical solutions, setting can ensure the continuous supplementary data of database in central server in this way,
And then general value is caused increasingly to level off to a stationary value, while can be diversified in data, it makes more accurate
True judgement, and then a greater degree of safety and stability that ensure that construction.
The present invention is further arranged to：It calculates all construction errors and differs more data, by these construction error differences
More data are compared with general value, take the numerical value with general value difference minimum, and the numerical value is set as construction error value.
Through the above technical solutions, the setting of construction error value plays the role of warning construction personnel, the i.e. data aobvious
Show to be to be the case of construction failure under construction error value, and then ensure that the personnel such as construction or design is supervised to avoid applying
The case where work fails occurs.
In conclusion the invention has the advantages that：The larger data of data differences are found by above-mentioned method,
Can largely analyze leads to construction accident and the construction error problem in Deep foundation Pit excavation, to subtract
Construction accident occurs caused by error during few construction again before, passes through and collects the number that measuring instrument measures
According to, collect designing unit feedback data, collect construction unit feedback data, collect mechanism for monitoring feedback data, collect
The data of the data of safety supervision mechanism feedback, the data for collecting unit in charge of construction's feedback and supervisor's feedback, can realize
Various aspects are collected data, and in central server complete paired data analysis, while data are stored, in order to constructor
Construction data before member extracts at any time is analyzed, and is largely reduced deep foundation pit construction error in this way, is prevented again
The huge loss constructed and brought reduces unnecessary loss, while grasping construction data at any time convenient for construction personnel, ensures
The Stability and veracity of construction, the continuous data that increase ensure that the data of construction are more and more accurate, further increase construction
Stability and veracity.
Specific implementation mode
Embodiment：A kind of data analysis deep foundation pit construction error method, including collect data, statistical data and analysis data
Process, the methods of above-mentioned collection data includes the collection of measuring instrument data, the collection of designing unit's feedback information, it is single to build
The position collection of feedback information, the collection of mechanism for monitoring feedback information, the collection of safety supervision mechanism feedback information, unit in charge of construction are anti-
The collection of feedforward information and the collection of supervisor's feedback information, above-mentioned measuring instrument include inclinometer, total powerstation, level
The measuring apparatus such as instrument, slope instrument, frequency recorder, limnimeter and micrometer, and above equipment is respectively connected with central server, in this hair
In bright, the data that these measuring apparatus are measured are wirelessly transmitted to central server.
Designing unit provides actual design data towards central server in the design process, such as size, ratio and calculating
Formula etc.；Construction unit constantly provides the construction data of work progress towards central server in the construction process,；Testing agency
It is constantly provided in work progress towards central server and detects the data obtained, specific to all detection datas in each stage；
Release mechanism constantly provides the data of safety towards central server, specific to safety index；The continuous direction of unit in charge of construction
Central server provides construction data, such as materials, construction problem, construction effect；Supervisor is responsible for continuous towards center
Server provides the problem of having in work progress.
Several storage elements are preset in central server, each storage element corresponds to a kind of data, for storing
Such data is individually stored per class data, convenient for reading and analyzing data.
The process of statistical data includes uniformly being summarized to multi-group data caused by multigroup deep foundation pit construction, i.e., will
The data of multigroup deep foundation pit construction are distributed unitedly in different storage elements.
The process of analysis data analyzes the multipacket message stored in central server, is set in central server
It sets there are one analytic unit, analytic unit compares the project data that construction is made a fault with normal project data, and
The data for differing more are taken out after comparison, this data is particularly likely that the reason of causing engineering to be slipped up, then by artificially dividing
The reason of analysis construction error.
The analytic unit extracts the data that measuring instrument detects, and calculates data in wherein each storage element
General value, the algorithm of general value are that remove data in 20 percent and each storage element minimum in every group of data highest
20 percent, then calculate the average value of intermediate 60 percent data, as usual numerical value, when detection data is more and more
When, this is often referred to level off to stable value, and analytic unit calculates the domain of walker in data, the calculating of domain of walker simultaneously
Method is the data with 20 highest percent after removing minimum 20 percent, and after removing data, is taken therein
Maximum value and minimum value difference divided by general value, then two percentages obtained at this time are then the domain of walker that data allow.With
The more and more of data, general value is just increasingly stablized, and the data obtained are also just more accurate, and more fitting is practical.
It calculates multiple construction errors and differs more data, these data are compared with general value, take and general value
The numerical value of difference minimum, and by the numerical value propose for construct error value, i.e., every time construction there is not allowed that less than or equal to construction lose
Accidentally the case where value, occurs.
Therefore later construction can be analyzed according to general value, and corresponding in domain of walker, Neng Goushi
Now when the following construction, above-mentioned general value can be applied to as a standard value in work progress.Above-mentioned construction error
The minimum of data, can prevent operating personnel because being less than the numerical value on a certain item data when value can reflect construction error
And construction is caused to be slipped up.And then general value and construction error value can reduce the generation for error of constructing when construction.
This specific embodiment is only explanation of the invention, is not limitation of the present invention, people in the art
Member can as needed make the present embodiment the modification of not creative contribution after reading this specification, but as long as at this
It is all protected by Patent Law in the right of invention.
Claims (6)
- A kind of method 1. data analysis deep foundation pit construction is slipped up, it is characterized in that：Include the following steps：S1：Collect data：The data for collecting measuring instrument measurement, the data for collecting designing unit's feedback, collection construction unit are anti- The data of feedback, the data for collecting safety supervision mechanism feedback, collect unit in charge of construction's feedback at the data for collecting mechanism for monitoring feedback The data of data and supervisor's feedback；S2：Store data：The output collected in step S1 is stored into central server；S3：Analyze data：The data stored in central server are analyzed, multigroup construction data is compared, construction is found out and loses Accidentally data have the data of bigger difference with normal data of constructing.
- The method 2. a kind of data analysis deep foundation pit construction according to claim 1 is slipped up, it is characterized in that：The S3 further includes The general value found out by multi-group data, the general value are used for staff in work progress and are carried out pair as with reference to data Than.
- The method 3. a kind of data analysis deep foundation pit construction according to claim 2 is slipped up, it is characterized in that：The general value Algorithm isNumerical value maximum 20 percent and numerical value are minimum in data 20 percent is removed, being averaged for remaining numerical value is found out Value.
- The method 4. a kind of data analysis deep foundation pit construction according to claim 3 is slipped up, it is characterized in that：The central service Several storage elements are provided in device, each storage element is used to store the same class data in multi-group data.
- The method 5. a kind of data analysis deep foundation pit construction according to claim 4 is slipped up, it is characterized in that：Further include S4：It will In the data deposit central server constructed every time later in corresponding storage element.
- The method 6. a kind of data analysis deep foundation pit construction according to claim 5 is slipped up, it is characterized in that：Calculate all constructions Error differs more data, these construction errors are differed more data to be compared with general value, is taken and usual value difference It is worth minimum numerical value, and the numerical value is set as construction error value.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202694126U (en) * | 2012-07-25 | 2013-01-23 | 南京工业大学 | Foundation pit engineering safety construction informationized monitoring system |
| CN104088306A (en) * | 2014-07-04 | 2014-10-08 | 苏州科技学院 | Wireless monitoring and early warning system for deep foundation pit comprehensive parameters |
| WO2016180127A1 (en) * | 2015-09-16 | 2016-11-17 | 中兴通讯股份有限公司 | Network performance evaluation method and system |
| CN107450426A (en) * | 2017-08-01 | 2017-12-08 | 中国建筑第八工程局有限公司 | Foundation pit construction deformable statistical analysis method and system |
-
2018
- 2018-06-29 CN CN201810712733.6A patent/CN108647913A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202694126U (en) * | 2012-07-25 | 2013-01-23 | 南京工业大学 | Foundation pit engineering safety construction informationized monitoring system |
| CN104088306A (en) * | 2014-07-04 | 2014-10-08 | 苏州科技学院 | Wireless monitoring and early warning system for deep foundation pit comprehensive parameters |
| WO2016180127A1 (en) * | 2015-09-16 | 2016-11-17 | 中兴通讯股份有限公司 | Network performance evaluation method and system |
| CN107450426A (en) * | 2017-08-01 | 2017-12-08 | 中国建筑第八工程局有限公司 | Foundation pit construction deformable statistical analysis method and system |
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Application publication date: 20181012 |