CN116955404A - Foundation pile construction method, system and storage medium based on big data - Google Patents
Foundation pile construction method, system and storage medium based on big data Download PDFInfo
- Publication number
- CN116955404A CN116955404A CN202311128127.7A CN202311128127A CN116955404A CN 116955404 A CN116955404 A CN 116955404A CN 202311128127 A CN202311128127 A CN 202311128127A CN 116955404 A CN116955404 A CN 116955404A
- Authority
- CN
- China
- Prior art keywords
- construction
- data
- foundation
- pile
- historical
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000010276 construction Methods 0.000 title claims abstract description 281
- 238000000034 method Methods 0.000 claims abstract description 31
- 238000012216 screening Methods 0.000 claims abstract description 8
- 239000002689 soil Substances 0.000 claims description 48
- 238000001514 detection method Methods 0.000 claims description 20
- 238000012360 testing method Methods 0.000 claims description 19
- 238000012937 correction Methods 0.000 claims description 14
- 238000013461 design Methods 0.000 claims description 13
- 238000004590 computer program Methods 0.000 claims description 12
- 230000002159 abnormal effect Effects 0.000 claims description 8
- 230000006835 compression Effects 0.000 claims description 8
- 238000007906 compression Methods 0.000 claims description 8
- 238000007689 inspection Methods 0.000 claims description 3
- 230000002093 peripheral effect Effects 0.000 claims description 2
- 230000008569 process Effects 0.000 abstract description 22
- 238000005056 compaction Methods 0.000 description 30
- 239000000463 material Substances 0.000 description 10
- 239000002131 composite material Substances 0.000 description 6
- 238000011161 development Methods 0.000 description 5
- 239000000945 filler Substances 0.000 description 5
- 230000035515 penetration Effects 0.000 description 5
- 230000006872 improvement Effects 0.000 description 4
- 238000012856 packing Methods 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 210000000476 body water Anatomy 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Databases & Information Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Economics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Computational Linguistics (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Placing Or Removing Of Piles Or Sheet Piles, Or Accessories Thereof (AREA)
Abstract
The application relates to a foundation pile construction method, a system and a storage medium based on big data, wherein the construction method comprises the following steps: acquiring historical foundation data and historical construction data of foundation pile construction, and establishing a database; building a construction task and acquiring current basic data of the construction task; according to the current basic data, screening historical construction data corresponding to the historical basic data closest to the current basic data from a database; outputting the acquired historical construction data to pile foundation construction equipment for automatic construction; and acquiring current basic data and current construction data after the construction task is completed, and updating a database. According to the application, some key indexes in the foundation pile construction process are dataized and divided into basic data and construction data which are stored in the database, so that the dependence on the construction experience of constructors in foundation pile construction can be greatly reduced by means of huge data volume, and the construction quality and construction efficiency are improved.
Description
Technical Field
The application relates to the technical field of intelligent construction of pile foundations, in particular to a foundation pile construction method, system and storage medium based on big data.
Background
The pile foundation is a deep foundation in which the tops of a plurality of piles are connected into a whole through a bearing platform to bear dynamic and static loads together, and the piles are vertical or inclined foundation members arranged in the soil and act to pass through a soft high-compressibility soil layer or water, so that the load born by the piles is transferred to a harder, denser or less-compressibility foundation bearing layer, and the piles in the pile foundation are generally called foundation piles.
The improvement of the pile foundation on the bearing performance is mainly in two aspects of pile side friction resistance and pile end resistance, wherein the improvement of the pile end resistance is most remarkable in the improvement of the bearing performance of the pile foundation. The foundation pile is a pile type which is used for compacting a pile hole bearing layer or soil body (comprising additional filler) in the pile, and can be a rigid pile or a flexible pile. Representative pile types are carrier piles and compaction piles.
The compaction pile is to fill in pile holes and to compact the pile body in layers to form a compact pile body with high strength, and the compaction process can be applied to the pile end only or along the pile hole, so that the soil body of the hole wall is compacted further by radial expansion of compacted materials, and meanwhile, the soil between the piles and the soil of the pile body are tightly cemented together. When only tamping the pile end, the compaction pile has extremely high pile end bearing performance, and concrete can be cast in place on the compaction pile; when the pile hole is filled by long ramming, the compaction pile has both great pile end bearing performance and pile side friction resistance, so that the integral single pile bearing performance of the compaction pile can be greatly improved, and the compaction pile can be used as a composite foundation during pile group construction.
The carrier pile consists of an upper pile body and a lower composite carrier, wherein the pile body is generally of a cast-in-place concrete structure or a high-strength prestressed pipe pile, and the composite carrier is a composite body which is positioned at the bottom of the pile body and is tamped by deep filling materials, so that the stress of the pile end can be diffused and reduced layer by layer, the bearing capacity of the foundation soil body of the pile end is fully mobilized, and the bearing capacity of the pile is greatly improved.
Along with the continuous development of construction technology of building engineering, in the foundation pile construction mainly based on dynamic compaction packing, a standardized and automatic operation mode is introduced, and the construction efficiency and the construction quality are greatly improved.
For example, in chinese patent publication No. CN113322928A, an automatic pile body non-soil compaction type carrier pile multi-equipment high-efficiency construction method is disclosed, which can monitor a ramming settlement of a rammer in real time and automatically determine and execute a next process, such as filling or ramming; thus, the automatic ramming control of the rammer and the automatic quantitative feeding of the filling material can be realized, and the standardized and automatic operation of the carrier pile can be realized.
For example, in chinese patent publication No. CN113481962a, a method for automatically constructing deep dynamic compaction composite foundation is disclosed, and related parameters of compaction judgment of a rammer after compacting a filler are further refined, and even if soil compactness detection is performed in an automatic compaction process, the method can also be automatically performed, so that the automatic construction control logic of related piles like carrier piles and compaction piles is more perfect.
In the chinese patent with application number CN2023108795896, an intelligent in-pipe carrier construction method and a digital construction method are also disclosed, wherein a reference pile hole is formed at a sampling hole in the geological survey, the lifting hammer height obtained by the pile hole ramming is used as the ramming height of the rest of the implemented pile holes, and the ramming height is input into an automatic pile foundation construction device for automatic construction by combining with a preset ramming threshold value and a standard quantity of single automatic filling, so that the construction efficiency and construction quality of pile groups in the same single area can be greatly reduced; in the whole construction process, key construction parameter data are stored and uploaded to a server, so that traceability of foundation pile construction parameters can be realized, on-line monitoring of construction quality can be realized, and the automatic construction technology of the pile foundation is combined fully.
However, with the development of construction technologies of foundation piles with high bearing capacity such as carrier piles and compaction piles, and continuous research and improvement of automatic pile foundation construction equipment, in a large number of construction projects, a large number of key construction parameters can be and have been accumulated, and how to reasonably and fully utilize these data to promote the intelligent development of foundation pile construction is a problem to be solved.
Disclosure of Invention
In order to solve the problem of reasonable utilization of high-bearing foundation pile automatic construction parameters, the application provides a foundation pile construction method, a system and a storage medium based on big data.
The foundation pile construction method based on big data provided by the first aspect of the application adopts the following technical scheme:
a foundation pile construction method based on big data comprises the following steps:
acquiring historical foundation data and historical construction data of foundation pile construction, and establishing a database;
building a construction task and acquiring current basic data of the construction task;
screening the historical construction data corresponding to the historical base data closest to the current base data from the database according to the current base data;
outputting the obtained historical construction data to pile foundation construction equipment for automatic construction;
and acquiring the current basic data and the current construction data after the construction task is completed, and updating the database.
Further, the historical basic data and the current basic data comprise design parameters, soil layer property parameters, bearing layer soil body water content and bearing layer soil body bearing performance parameters.
Further, when the historical construction data are screened in the database, the similarity weight of the historical basic data and the current basic data is sequentially from large to small, and the similarity weight is the design parameter, the bearing capacity parameter of the bearing stratum soil body, the water content of the bearing stratum soil body and the soil layer property parameter.
Further, if the foundation pile after the construction task is completed carries out pile foundation bearing performance detection, the current basic data further comprises pile foundation detection parameters;
and when the historical construction data are screened in the database, the historical basic data containing the pile foundation detection parameters are preferentially compared.
Further, the historical construction data and the current construction data comprise a tamping threshold, a standard quantity of single automatic filling, a lifting hammer height and the total number of times of tamping by a heavy hammer when the filling is compacted and reaches the standard;
if the difference between the pile bottom elevation and the hammer bottom elevation falls into the tamping inspection threshold range after the hammer strikes, the pile foundation construction equipment starts automatic filling; when the compression modulus of the pile bottom elevation peripheral side soil layer is less than 10Mpa, the tamper checking threshold value is-5 to-50 cm; when the compression modulus of the soil layer at the periphery of the pile bottom elevation is more than or equal to 10Mpa, the tamper checking threshold value is 5-50 cm.
Furthermore, the historical construction data and the current construction data also comprise correction parameters of the construction equipment manually corrected when the sinking amount of the heavy hammer is abnormal.
Still further, the historical construction data and the current construction data each also include a unique code of pile foundation construction equipment performing the construction task.
The foundation pile construction system based on big data provided by the second aspect of the application adopts the following technical scheme:
a foundation pile construction system based on big data, comprising:
the acquisition module is configured to acquire foundation data and construction data of foundation pile construction;
a storage module configured to store the acquired basic data and the construction data as one data set and integrate a database;
the screening module is configured to compare parameters required by construction with the basic data in the database and screen out the construction data corresponding to the basic data with highest matching degree;
and the control module is configured to generate a control command according to the screened construction data.
The third aspect of the present application provides a computer apparatus, which adopts the following technical scheme:
a computer device comprising a processor and a memory, the memory having stored thereon a computer program which, when executed by the processor, implements a method of foundation pile construction based on big data as described above.
A fourth aspect of the present application provides a computer storage medium, which adopts the following technical scheme:
a computer storage medium having stored thereon a computer program which, when executed by a processor, implements a foundation pile construction method based on big data as described above.
In summary, the beneficial technical effects of the application are as follows:
1. the method comprises the steps of carrying out datamation on some key indexes in the foundation pile construction process, and distinguishing relevant construction data records in stock foundation pile construction projects and operation data of the existing automatic pile foundation construction equipment continuously operated in a construction site into basic data and construction data which are input into a database, so that the historical basic data and the historical construction data stored in the database can reach a considerable level; comparing the current basic data in the current construction task with the historical basic data in the database, screening a group of data sets with highest similarity, downloading the construction data in the data sets into pile foundation construction equipment for automatic construction, greatly reducing the dependence on the construction experience of constructors in foundation pile construction, improving the construction quality and the construction efficiency, and realizing the full utilization of key indexes in the construction process as much as possible;
2. when the automatic pile foundation construction equipment executes an operation instruction generated based on the current construction data, the initial height of a hoisting hammer of a winch module of the automatic pile foundation construction equipment can be obtained through the parameter of the lifting hammer height; the initial lifting hammer height can be accurately corrected and the starting of an automatic filling module can be controlled through the judgment of the tamping testing threshold value; the material conveying quantity of each time of the automatic filling module can be set through the parameters of the standard quantity of single automatic filling; the tamping testing time can be greatly shortened, the tamping testing precision can be greatly improved by means of the related parameters provided by big data, the number of times of manual correction of automatic pile foundation construction equipment in the process of automatically executing operation instructions is reduced as much as possible, and the construction efficiency is improved;
3. the total number of times of ramming by the heavy hammer until the packing material is compacted and reaches the standard, the number of times of packing and the total packing quantity in the historical construction data are used as data references for judging whether the soil compactness in the construction process reaches the standard or not, and when the automatic pile foundation construction equipment reaches any parameter index in the automatic operation process, the soil compactness detection can be carried out, so that the condition that the accurate opportunity of the soil compactness detection is needed to be continuously tested and rammed in the conventional construction is effectively improved, and the construction efficiency can be remarkably improved.
Drawings
FIG. 1 is a schematic flow diagram of a method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of system logic according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made apparent and fully in view of the accompanying drawings, in which some, but not all embodiments of the application are shown. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
At present, in the construction of foundation piles, particularly compaction piles, carrier piles and other foundation piles with high bearing capacity, the commonality is that the original soil layer or the additional filling quantity in the pile holes is compacted into an enlarged body at the pile bottom, the compactness of the soil layer at the bearing layer of the pile bottom can be obviously increased, the bearing performance of the pile end is improved, the construction equipment is mostly conventional pile foundation equipment, the construction process is that the operator participates more in the construction process by ramming a heavy hammer in the pile holes through a high-rise portal crane, and the construction method is the current situation in the construction of the foundation piles at present.
Although some automatic pile foundation construction equipment capable of automatically lifting hammers, tamping and throwing fillers and automatically detecting relevant construction parameters in construction is disclosed in the related art, for example, in China patent with publication number of CN114991144A, the automatic construction equipment for carrier piles is disclosed, can realize the functions, realize the automatic operation of foundation pile construction, accurately control the amount of fillers and other relevant key parameters, can realize standardized operation in foundation pile construction, and has great benefits for quality control of foundation pile construction. However, the cost of such automated equipment is increased compared to conventional portal pile foundation equipment, and some relevant control parameters also need to be determined by construction experience of constructors, so that further development of further advantages of the automated pile foundation construction equipment is still required for popularization and popularization of the automated pile foundation construction equipment.
The embodiment of the application discloses a foundation pile construction method based on big data. Referring to fig. 1, the foundation pile construction method based on big data includes the steps of:
s1, acquiring historical foundation data and historical construction data of foundation pile construction, and establishing a database; specifically, when a database is built, on one hand, the data recorded by the existing pile foundation construction equipment during foundation pile construction can be uploaded manually or automatically to obtain the data, and on the other hand, the related data registered in a construction record table in the past construction project can be recorded to obtain the data.
S2, building a construction task and acquiring current basic data of the construction task; in this embodiment, the current base data and the historical base data differ only in occurrence time, and have no specific meaning, and thus are hereinafter collectively referred to as base data for convenience in explaining the scheme of the present application. The basic data includes, but is not limited to, design parameters, soil layer property parameters, bearing layer soil moisture content and bearing layer soil load bearing performance parameters.
It should be noted that, the design parameters include, but are not limited to, pile top elevation, pile bottom elevation, site elevation, hole depth, hole diameter, pile length, single pile bearing capacity, etc., where the single pile bearing capacity is a key indicator.
The soil layer property parameters, the bearing stratum soil body moisture content and the bearing stratum soil body bearing performance parameters are collectively called as geological parameters, can be read and recorded in a geological survey report before each construction, can also be accessed into a data platform or a database comprising the related geological survey data, and can be searched and called by means of the coordinates of a target construction site.
S3, according to the current basic data, screening historical construction data corresponding to the historical basic data closest to the current basic data from a database. When the data are compared and screened in the database, the similarity weight of the historical basic data and the current basic data is sequentially from large to small as design parameters, bearing performance parameters of the bearing layer soil body, the water content of the bearing layer soil body and soil layer property parameters, wherein the design parameters mainly compare key indexes, namely the bearing capacity of the design single pile when compared.
In addition, in the present embodiment, the current construction data and the history construction data differ only in occurrence time, and specific meanings are not different, so that the construction data will be hereinafter collectively referred to as construction data for convenience in explaining the scheme of the present application. And the corresponding basic data and construction data together form a data set, and are stored in a database. The historical construction data and the current construction data comprise, but are not limited to, a compaction test threshold value, standard quantity of single automatic filling, lifting hammer height, total number of times of ramming by a heavy hammer when the filling material is compacted and reaches the standard, filling times, total filling quantity, construction duration and the like.
Specifically, the compaction testing threshold is used for representing the compaction degree of the standard quantity of filling material by compaction, and different setting values are provided under different soil layer properties, and the significance of setting is as follows: when the difference between the pile bottom elevation and the pile bottom elevation falls into the tamper checking threshold after the hammer strikes, the pile foundation construction equipment starts automatic filling, namely the tamper checking threshold can be used as a trigger filling threshold. For example, when compaction pile construction is carried out, the standard requirement of soil body in the compaction process is not high, and when the compression modulus of the soil layer at the periphery of the pile bottom elevation is smaller than 10Mpa, the compaction test threshold value can be-5 to-50 cm; when the compression modulus of the soil layer at the periphery of the pile bottom elevation is more than or equal to 10Mpa, the compaction testing threshold value can be 5-50 cm. When the carrier pile is constructed, the control precision requirement of the compactness of the filler in the compaction process is higher, so that when the compression modulus of the soil layer at the periphery of the pile bottom elevation is less than 10Mpa, the compaction test threshold value can be-5 cm to-20 cm; when the compression modulus of the soil layer at the periphery of the pile bottom elevation is more than or equal to 10Mpa, the compaction testing threshold value can be 5-20 cm.
On the other hand, before the automatic construction of the pile foundation construction equipment is started, the lifting hammer height needs to be determined, and when the lifting hammer height is determined in the tamping testing process, the tamping testing threshold value is also used as an important index for judging whether the lifting hammer height reaches a required value. Specifically, the elevation of the bottom of the heavy hammer after being rammed is defined as a first-click elevation, and the first-click elevation is subtracted from the elevation of the pile bottom to obtain a first-click standard difference; if the first impact standard deviation is smaller than the minimum value of the tamping threshold, increasing the lifting hammer height and then lifting the heavy hammer for tamping; if the first impact standard deviation is larger than the maximum value of the tamping threshold, reducing the lifting hammer height and lifting the heavy hammer for tamping; if the standard deviation accords with the tamper detection threshold range, the current lifting hammer height accords with the requirement. Therefore, the tamping testing threshold can influence the automatic filling time and the lifting height of the pile foundation construction equipment, and is an important index which must be clear before the automatic construction of the pile foundation construction equipment.
In specific operation, the tamper testing threshold value in the initial historical construction data in the database is formulated by the construction experience of constructors based on the value range; the tamper threshold value in the historical construction data retrieved from the database is determined from the data recorded in the database.
Similarly, the initial value of the standard quantity of the single automatic filling and the parameter of the lifting hammer height is corrected and formulated by the construction experience of constructors and the tamping inspection process, and the value of the parameter in the subsequent construction is determined by the data recorded in the database.
S4, outputting the acquired historical construction data to pile foundation construction equipment for automatic construction; the pile foundation construction equipment is required to have at least the following functions: the automatic lifting device can automatically lift the heavy hammer to a specified height and freely drop the heavy hammer, automatically convey a filling quantity of a specified quantity, detect the elevation of the bottom surface of the heavy cone or the elevation difference of the bottom of the heavy hammer when the heavy hammer falls down twice adjacently in real time, and record, store and upload construction data such as the lifting height, single feeding quantity, the penetration of the heavy hammer, the elevation of the bottom of the heavy hammer and the like.
S5, acquiring current basic data and current construction data after the construction task is completed, and updating a database, in particular adding a data set in the database.
Therefore, based on the related construction data record in the stock foundation pile construction project and the continuous operation of the automatic pile foundation construction equipment in the construction site, the historical basic data and the historical construction data stored in the database can reach a considerable level, the related data stored in the database can provide automatic construction parameter basis for foundation pile construction in each pile position as the most basic utilization of the construction data, the dependence on the construction experience of constructors in foundation pile construction is reduced as much as possible, and the construction quality is improved.
Meanwhile, the design quantity of foundation piles per 1000 square meters of the foundation reaches hundreds, along with the continuous increase of the magnitude of the database, the parameter basis provided by the historical data in the database is more accurate, and the foundation pile foundation construction method can even replace construction technicians to a certain extent, so that the specific data in foundation pile construction is utilized in a database mode, and the foundation pile construction method has a wide development prospect and good popularization advantage.
Specifically, for example, when the carrier pile is constructed, according to the design requirement of the current basic data, the historical construction data corresponding to the historical basic data of one pile hole with the highest similarity of the current basic data is screened out from the database, and the automatic pile foundation construction equipment can download the historical construction data from the machine as the current construction data and match the current basic data to form a new data set.
When the automatic pile foundation construction equipment executes an operation instruction generated based on the current construction data, the initial height of a hoisting hammer of a winch module of the automatic pile foundation construction equipment can be obtained through the parameter of the lifting hammer height; the initial lifting hammer height can be accurately corrected and the starting of an automatic filling module can be controlled through the judgment of the tamping testing threshold value; the amount of material fed to each automatic filling module can be set by the parameters of the standard amount of single automatic filling. Therefore, the preparation work of the tamping testing stage can be greatly reduced, the tamping testing time is shortened, the tamping testing precision can be greatly improved by means of the related parameters provided by big data, the number of times of manual correction of automatic pile foundation construction equipment in the process of automatically executing operation instructions is reduced as much as possible, and the construction efficiency is improved.
The total number of times of ramming the heavy hammer and the number of times of filling when the filling material is compacted and reaches the standard in the historical construction data are used as data references in the construction process; the reason is that the basis of the judgment of the piling of the carrier pile is three-click penetration detection, and the three data can represent the time when the compacted filling material in the pile hole can reach the detection of the three-click penetration; when the automatic pile foundation construction equipment reaches any parameter index in the automatic operation process, the three-stroke penetration degree detection can be performed, the condition that uninterrupted tamper test is needed in the past construction to judge the accurate time of the three-stroke penetration degree detection is effectively improved, and the construction efficiency can be remarkably improved.
Moreover, the data set stored in the database is a combination of the foundation data and the construction data which are strongly corresponding, namely, the construction control requirements corresponding to the foundation data are matched according to objective requirements such as design parameters, geological parameters and the like, so that the construction method is not only limited to the construction of known pile types such as carrier piles, compaction piles (including deep dynamic compaction composite foundations) and rammed and expanded piles, but also can provide construction basis for foundation pile construction similar to soil compaction or foundation construction even if the construction method does not need piling and only meets the set bearing requirements.
In addition, pile forming spot check is generally performed after pile group construction to determine whether the constructed pile foundation meets the design requirement, so that a data set corresponding to the pile foundation with qualified quality after spot check has more representative significance.
Therefore, in other possible embodiments, if pile foundation bearing performance detection is performed on the pile foundation after the construction task is completed, generally, pile foundation static load experiments and low strain detection are adopted, then the current basic data further includes pile foundation detection parameters, such as load weight, settlement amount in unit time and low strain waveform judgment conclusion; when the historical construction data is screened in the database, the historical basic data containing the detection parameters are preferentially compared, and only the relevant historical basic data with qualified pile foundation bearing performance detection is screened, so that the value of a data set screened in the database can be ensured as much as possible, and more accurate construction basis is provided for the construction of the later pile foundation.
Similarly, in the process that the automatic pile foundation construction equipment receives an operation instruction generated based on current construction data to perform automatic construction, if abnormal conditions such as broken soil, rubber soil and the like occur in the tamping process of the heavy hammer, the abnormal conditions are difficult to effectively solve only through the determination of the tamping threshold value and the determination of the control of the tamping of the heavy hammer in the related construction method, and at the moment, manual intervention such as remote control equipment of technicians or field debugging equipment of constructors is needed.
Thus, in other possible embodiments, the historical construction data and the current construction data also each include the weight deflection and correction parameters for manually correcting the construction equipment when the deflection is abnormal; the correction parameters include, but are not limited to, several shots of the device subside before the device is implanted with the correction parameters, correction of the height of the jack, correction of the number of fills of the automatic filling module.
Therefore, correction parameters are supplemented in the data set, and an abnormal correction basis can be provided for the pile foundation constructed later; specifically, a data set containing correction parameters is searched in a database, then the situation that the subsidence amount is increased or decreased for several times before the correction parameters are implanted in the searched data sets is compared with the current abnormal situation of the equipment, and the correction parameters in the data set with high similarity are downloaded from the local for reference, so that the correct instructions can be implanted in the equipment quickly to solve the abnormal situation.
In addition, in other possible implementations, it may be further configured to: both the historical construction data and the current construction data also include unique codes for the pile foundation construction equipment performing the construction task.
After the data set in the database is endowed with the machine code of the pile foundation construction equipment, the construction quantity, the construction accuracy, the frequency of occurrence of abnormality and other dimensional parameters of the pile foundation construction equipment can be quantitatively monitored and managed, so that the pile foundation construction equipment can be debugged and maintained in time.
In particular, some temporal and spatial information may be given to the construction data, such as: the time of each operation occurrence and termination of the pile foundation construction equipment in the operation process, coordinates, elevation and the like of the pile foundation construction equipment can be used for managing the pile foundation construction equipment more finely.
The embodiment of the application also discloses a foundation pile construction system based on big data, referring to fig. 2, comprising:
the acquisition module is configured to acquire foundation data and construction data of foundation pile construction; and may also acquire some functional data including, but not limited to, the aforementioned detection parameters, machine codes, time data, space data, etc. The acquisition mode can be automatic acquisition or manual input through an input device.
And the storage module is configured to store the acquired basic data, construction data and functional data as one data set and integrate the data base.
And the screening module is configured to compare the parameters required by construction with the basic data in the database and screen out the construction data corresponding to the basic data with the highest matching degree.
And the control module is configured to generate a control command according to the screened construction data.
After the control module is executed, the acquisition module acquires current basic data, construction data and partial functional data to form a data set, and the data set is uploaded to a database by the storage module for data new addition.
In this embodiment, the specific implementation manner of the system may be by means of the foundation pile construction method based on big data in the foregoing embodiment, that is, the working principle of the system is the same as that of the foregoing method, so that the description thereof will not be repeated here.
The embodiment of the application also discloses a computer device which comprises a processor and a memory, wherein the memory stores a computer program, and the computer program realizes the foundation pile construction method based on big data according to the embodiment when being executed by the processor.
The computer device may be a desktop computer, a notebook computer, a micro control computer or a cloud server, which may be installed on the construction equipment, etc., and includes, but is not limited to, a processor and a memory, for example, the computer device may also include an input/output device, a network access device, a bus, etc.
The processor may be a Central Processing Unit (CPU), or of course, other general purpose processors, digital Signal Processors (DSP), application Specific Integrated Circuits (ASIC), ready-made programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., and the general purpose processor may be a microprocessor or any conventional processor, etc., according to actual use, which is not limited by the present application.
The memory may be an internal storage unit of the computer apparatus, for example, a hard disk or a memory of the computer device, or an external storage device of the computer device, for example, a plug-in hard disk, a Smart Memory Card (SMC), a secure digital card (SD), or a flash memory card (FC) provided on the computer device, or the like, and may be a combination of an internal storage unit of the computer device and an external storage device, and the memory may be used to store a computer program and other programs and data required by the computer device, and the memory may be used to temporarily store data that has been output or is to be output, which is not limited by the present application.
Moreover, with the present computer apparatus, the foundation pile construction method based on big data of the above-described embodiments is stored in the memory of the computer apparatus, and is loaded and executed on the processor of the computer apparatus, so as to be convenient for the user to use.
In addition to the above methods and apparatus, embodiments of the present application may also be a computer program product comprising computer program instructions which, when executed by a processor, cause the processor to perform the steps in the big data based foundation pile construction method of the above embodiments.
The computer program product described above may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. Program code may be in the form of source code, object code, executable files, or in some middleware or the like.
The embodiment of the application also discloses a computer storage medium, on which a computer program is stored, which realizes the foundation pile construction method based on big data when being executed by a processor.
Computer storage media may take the form of any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may include, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer storage medium stores the foundation pile construction method based on big data in the computer storage medium, and the foundation pile construction method based on big data is loaded and executed on a processor, so that the foundation pile construction method based on big data is convenient to store and apply.
Unless defined otherwise, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this application belongs. The terms "first," "second," "third," and the like in the description and in the claims, are not used for any order, quantity, or importance, but are used for distinguishing between different elements. The terms "a" or "an" and the like do not denote a limitation of quantity, but rather denote the presence of at least one. The word "comprising" or "comprises", and the like, is intended to mean that elements or items that are present in front of "comprising" or "comprising" are included in the word "comprising" or "comprising", and equivalents thereof, without excluding other elements or items. "upper", "lower", "left", "right", etc. are used merely to denote relative positional relationships, which may also change accordingly when the absolute position of the object to be described changes.
The above embodiments are not intended to limit the scope of the present application, so: all equivalent changes in structure, shape and principle of the application should be covered in the scope of protection of the application.
Claims (10)
1. The foundation pile construction method based on big data is characterized by comprising the following steps:
acquiring historical foundation data and historical construction data of foundation pile construction, and establishing a database;
building a construction task and acquiring current basic data of the construction task;
screening the historical construction data corresponding to the historical base data closest to the current base data from the database according to the current base data;
outputting the obtained historical construction data to pile foundation construction equipment for automatic construction;
and acquiring the current basic data and the current construction data after the construction task is completed, and updating the database.
2. The big data based foundation pile construction method of claim 1, wherein the historical foundation data and the current foundation data each comprise design parameters, soil layer property parameters, bearing stratum soil moisture content and bearing stratum soil load bearing performance parameters.
3. The foundation pile construction method based on big data according to claim 2, wherein when the historical construction data is screened in the database, the similarity weight of the historical foundation data and the current foundation data is the design parameter, the bearing capacity parameter of the bearing layer soil body, the moisture content of the bearing layer soil body and the soil layer property parameter from large to small in sequence.
4. The big data based foundation pile construction method of claim 3, wherein if the foundation pile after the construction task is completed is subjected to pile foundation bearing performance detection, the current foundation data further comprises pile foundation detection parameters;
and when the historical construction data are screened in the database, the historical basic data containing the pile foundation detection parameters are preferentially compared.
5. The big data based foundation pile construction method of any one of claims 1-4, wherein the historical construction data and the current construction data each include a tamper test threshold, a standard amount of single automatic filling, a lifting hammer height, and a total number of weight strokes when the cut-off filling is compacted to reach standard;
if the difference between the pile bottom elevation and the hammer bottom elevation falls into the tamping inspection threshold range after the hammer strikes, the pile foundation construction equipment starts automatic filling; when the compression modulus of the pile bottom elevation peripheral side soil layer is less than 10Mpa, the tamper checking threshold value is-5 to-50 cm; when the compression modulus of the soil layer at the periphery of the pile bottom elevation is more than or equal to 10Mpa, the tamper checking threshold value is 5-50 cm.
6. The method of constructing a foundation pile based on big data according to claim 5, wherein the historical construction data and the current construction data each further include correction parameters for manually correcting the construction equipment when the weight is sinking by one stroke and the sinking by one stroke is abnormal.
7. The big data based foundation pile construction method of claim 1, wherein said historical construction data and said current construction data each further comprise a unique code of a pile foundation construction equipment performing said construction task.
8. A foundation pile construction system based on big data, comprising:
the acquisition module is configured to acquire foundation data and construction data of foundation pile construction;
a storage module configured to store the acquired basic data and the construction data as one data set and integrate a database;
the screening module is configured to compare parameters required by construction with the basic data in the database and screen out the construction data corresponding to the basic data with highest matching degree;
and the control module is configured to generate a control command according to the screened construction data.
9. A computer device comprising a processor and a memory, the memory having stored thereon a computer program, characterized in that the computer program, when executed by the processor, implements the big data based foundation pile construction method according to any of claims 1-7.
10. A computer storage medium having stored thereon a computer program which, when executed by a processor, implements a method of foundation pile construction based on big data according to any of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311128127.7A CN116955404B (en) | 2023-09-04 | 2023-09-04 | Foundation pile construction method, system and storage medium based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311128127.7A CN116955404B (en) | 2023-09-04 | 2023-09-04 | Foundation pile construction method, system and storage medium based on big data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116955404A true CN116955404A (en) | 2023-10-27 |
| CN116955404B CN116955404B (en) | 2024-01-19 |
Family
ID=88444647
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311128127.7A Active CN116955404B (en) | 2023-09-04 | 2023-09-04 | Foundation pile construction method, system and storage medium based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116955404B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20200133256A1 (en) * | 2018-05-07 | 2020-04-30 | Strong Force Iot Portfolio 2016, Llc | Methods and systems for sampling and storing machine signals for analytics and maintenance using the industrial internet of things |
| CN112281894A (en) * | 2020-11-16 | 2021-01-29 | 中铁十六局集团电气化工程有限公司 | Pile foundation construction method |
| CN113869680A (en) * | 2021-09-16 | 2021-12-31 | 中国建筑土木建设有限公司 | Intelligent pile foundation construction management and control method and system |
-
2023
- 2023-09-04 CN CN202311128127.7A patent/CN116955404B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20200133256A1 (en) * | 2018-05-07 | 2020-04-30 | Strong Force Iot Portfolio 2016, Llc | Methods and systems for sampling and storing machine signals for analytics and maintenance using the industrial internet of things |
| CN112281894A (en) * | 2020-11-16 | 2021-01-29 | 中铁十六局集团电气化工程有限公司 | Pile foundation construction method |
| CN113869680A (en) * | 2021-09-16 | 2021-12-31 | 中国建筑土木建设有限公司 | Intelligent pile foundation construction management and control method and system |
Non-Patent Citations (4)
| Title |
|---|
| 张明;: "复合载体夯扩桩的施工技术控制", 长春工程学院学报(自然科学版), no. 04 * |
| 房光玉;刘寨民;: "应用大数据构建工程造价数据库", 工程造价管理, no. 04 * |
| 李伟;盖玉杰;王晓初;: "基于GIS的路面管理系统的设计", 东北林业大学学报, no. 02 * |
| 许芸芸;孙忠强;刘亚昌;苏广军;: "夯扩挤密碎石桩在沿海高速公路砂土液化地基中的应用", 铁道建筑, no. 04, pages 66 - 67 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116955404B (en) | 2024-01-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101979783A (en) | Multifunctional cone penetration test (CPTU)-based pile foundation bearing capacity pre-measuring method | |
| CN103645061A (en) | Lattice anchoring technology large-scale physical model test method | |
| CN107843711A (en) | A kind of dynamic consolidation construction effect detection method based on impact acceleration | |
| CN113515654A (en) | Pile foundation construction parameter visualization processing method and device based on building information modeling | |
| CN116955404B (en) | Foundation pile construction method, system and storage medium based on big data | |
| CN2677881Y (en) | Automatic measuring recording analysing device for strong rammer work parameter | |
| KR101004748B1 (en) | Control system for pile design of structure using geographic information system | |
| CN110130422A (en) | A kind of construction method of unit for single-pile vertical anti-pulling static test equipment | |
| CN109142108B (en) | Method for evaluating relative compactness of quartz soil based on light dynamic penetration test indexes | |
| CN109797729A (en) | A kind of roadbed brick slag changes packing course compactness and refers to object detection method | |
| CN110106853A (en) | A method of calculating the compression modulus of clay containing gravel | |
| CN104674857A (en) | Drive-and-press pile foundation bearing capability detection method | |
| CN112431185B (en) | Method for detecting dynamic compaction strengthening quality of large-area soft soil foundation of water transport engineering | |
| CN107288117A (en) | A kind of method to gangue forced ramming reinforcing | |
| CN111827375A (en) | Construction method for detecting foundation pile load based on self-balancing static load | |
| CN204551552U (en) | A kind of device being configured at test deep layer load plate test cave | |
| CN113529815A (en) | On-site test method for testing negative frictional resistance neutral points of PHC pipe piles in soft soil areas | |
| CN204475302U (en) | A kind of civil engineering structure being applicable to deep layer payload oscillation | |
| CN101660987B (en) | Heavy hammer and low fall dynamic detection method for heavy tamping or impact rolling and filling of rockfill body | |
| CN114592553B (en) | Large tonnage reinforced pile foundation static load test method | |
| CN113175006B (en) | Method for predicting vertical load settlement curve of pile foundation | |
| CN114674660B (en) | Concrete permanent stress testing method | |
| CN117852961B (en) | Pile forming quality control method and system for rock stratum pile forming construction | |
| Leung et al. | Land reclamation and settlement of reclaimed land for new ports | |
| Zhang et al. | Knowledge-based design and construction of driven piles |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |