CN119824907A - Intelligent construction method based on intelligent cast-in-situ large-diameter pipe pile equipment - Google Patents
Intelligent construction method based on intelligent cast-in-situ large-diameter pipe pile equipment Download PDFInfo
- Publication number
- CN119824907A CN119824907A CN202510078153.6A CN202510078153A CN119824907A CN 119824907 A CN119824907 A CN 119824907A CN 202510078153 A CN202510078153 A CN 202510078153A CN 119824907 A CN119824907 A CN 119824907A
- Authority
- CN
- China
- Prior art keywords
- intelligent
- pile
- construction
- equipment
- module
- 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.)
- Pending
Links
Landscapes
- Piles And Underground Anchors (AREA)
Abstract
The invention discloses an intelligent construction method based on intelligent cast-in-situ large-diameter pipe pile equipment, belongs to the technical field of geotechnical engineering pile foundation equipment, and aims to solve the technical problem that the intelligent degree of PCC pile foundation construction in the prior art is low. The method comprises the following steps of S1, preparing before construction, processing an operation site and determining pile positions, S2, installing and debugging equipment, installing intelligent cast-in-situ large-diameter pipe pile equipment, connecting all modules with an intelligent pipe pile design platform, performing automatic navigation and positioning through an intelligent I PCC pile control system, S3, performing drilling process, controlling a double-layer sleeve wall protection module and an annular rotary digging module to synchronously press down and drill to a specified depth through the intelligent I PCC pile control system, S4, performing concrete pouring process, lifting the annular rotary digging module, controlling concrete pouring module to pour concrete through the intelligent I PCC pile control system, vibrating and drawing a pipe to form a pile, and S5, performing real-time monitoring on pile forming quality through the intelligent pipe pile design platform.
Description
Technical Field
The invention relates to the technical field of geotechnical engineering pile foundation equipment, in particular to an intelligent construction method based on intelligent cast-in-situ large-diameter pipe pile equipment.
Background
PCC piles represent a number of outstanding advantages in reinforcing soft soil foundations. Because the double-layer sleeve wall is adopted, the stability of soil bodies at two sides can be well maintained, so that the PCC pile can be suitable for various complicated geological conditions and has larger pile forming depth. The double-layer steel pipe cavity structure can form a pile with larger pile diameter, the pile diameter and the pile wall thickness can be adjusted according to the requirement, compared with a solid pile with the same effective sectional area, the PCC pile and the pile circumference soil are larger in contact area, the pile side friction resistance can be greatly improved, the pile body concrete consumption is saved, and the construction cost is reduced. The PCC pile machine adopts a valve pile shoe structure, overcomes certain defects of using a precast reinforced concrete pile head, can reduce cost, quickens construction progress, and can set the inclination direction of the pile shoe to adjust the soil squeezing direction in the sinking process. The slurry is produced by the slurry producer, so that the internal and external friction resistance of the annular sleeve die during sinking can be reduced, and the pile core soil and the side wall soil are protected to be stable. Due to the adoption of the vibration double-layer sleeve molding process, the construction quality is stable and the control is easy. The cast-in-place concrete large-diameter pipe pile has the advantages of strong construction adaptability, wide application range, easy control of construction quality, low reinforcing cost per unit area, outstanding reinforcing effect and the like, has good popularization and application values, and is widely applied to engineering.
However, existing PCC piles still suffer from certain drawbacks. Firstly, various complicated soil layers exist in engineering construction, particularly when cast-in-place concrete pipe piles are popularized and applied from eastern soft soil areas to midwest areas, harder thick soil layers are often encountered, and the traditional pipe sinking cast-in-place pile method is difficult to penetrate through the hard soil layers and is not suitable. Secondly, with the development of economy and society, PCC pile construction faces more complex construction environments, and the current PCC pile foundation construction is too much in human participation, so that the intelligent degree is low. Therefore, the comprehensive intellectualization in construction is required to be realized, so that the application range of the PCC pile and the pile forming quality of the construction efficiency are obviously improved. Based on this, it is needed to combine the artificial intelligence technology with the pile foundation engineering technology, develop new generation of new intelligent technology and equipment for in-situ casting concrete large diameter pipe pile (i PCC pile for short), and gradually improve the technology and equipment, so as to form a set of system capable of being applied in the demonstration of representative engineering.
Therefore, it is necessary to develop a novel intelligent cast-in-situ large-diameter pipe pile device, realize full-automatic rotary digging, soil taking and annular hole forming, full-automatic concrete pouring and pile forming, and perform real-time intelligent analysis feedback on the whole construction process data.
Disclosure of Invention
The invention aims to provide an intelligent construction method based on intelligent cast-in-situ large-diameter pipe pile equipment, which aims to solve the technical problem of low intelligent degree of PCC pile foundation construction in the prior art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
The invention provides an intelligent construction method based on intelligent cast-in-situ large-diameter pipe pile equipment, which comprises a power equipment module, a double-layer sleeve wall protection module, an annular rotary digging module, a self-walking rack module and a concrete pouring module, wherein the power equipment module is connected with the double-layer sleeve wall protection module;
the intelligent construction method based on the intelligent cast-in-situ large-diameter pipe pile equipment comprises the following steps:
s1, preparing before construction, processing a working site and determining a pile position;
S2, installing and debugging equipment, installing intelligent cast-in-situ large-diameter pipe pile equipment, connecting each module with an intelligent pipe pile design platform, and performing automatic navigation and positioning through an IPCC pile intelligent control system;
S3, in the drilling process, controlling a double-layer sleeve retaining wall module and an annular rotary digging module to synchronously press down and drill to a specified depth through an i PCC pile intelligent control system;
s4, in the concrete pouring process, lifting the annular rotary digging module, controlling the concrete pouring module to pour concrete through the i PCC pile intelligent control system, and vibrating and pulling the concrete to form piles;
s5, monitoring pile forming quality in real time through the intelligent pipe pile design platform.
Optionally or preferably, the method for controlling the double-layer sleeve dado module in S3 through the i PCC pile intelligent control system comprises the following steps:
S31 a, in the process of casing pipe lowering, according to preset construction parameters, a control system automatically adjusts the pressure and speed of a hydraulic cylinder according to geological exploration data and casing pipe stress conditions monitored in real time to ensure that the casing pipe stably sinks;
S32a, during construction, the double-layer sleeve wall protection system and the annular rotary digging system synchronously press down the drill to a specified depth, and the inner cylinder is pressed down and forcibly pressed by the inner cylinder separating hydraulic cylinder to be planted in soil for fixation, so that the inner cylinder is prevented from being pulled out or the bottom of the inner cylinder is prevented from shaking when the auger is lifted.
Optionally or preferably, the method for controlling the concreting module to concrete through the intelligent control system of the i PCC pile in S4 comprises the following steps:
s31 b, spirally connecting a concrete conveying pipe connected with a ground pump with a liquid inlet pipe through a coiling frame to form a concrete pouring system;
And S32b, pumping the stirred concrete into a concrete conveying pipe through a ground pump, and conveying the concrete into the cavity structure of the inner sleeve and the outer sleeve through a feed hopper through a liquid inlet pipe connected to the movable slide rail.
Optionally or preferably, in S5, the real-time monitoring of pile forming quality through the intelligent pipe pile design platform is:
And detecting pile forming quality through a static load test, a core drilling method, a low strain method, a high strain method and a sound wave transmission method, and simultaneously establishing a pile forming quality evaluation model by adopting a data analysis and processing technology.
Optionally or preferably, the i PCC pile intelligent control system comprises an intelligent pipe pile design subsystem, a full-automatic construction subsystem, an integrated perception monitoring and remote control subsystem.
Optionally or preferably, the method for automatic navigation and positioning by the IPCC pile intelligent control system in S1 comprises the steps of combining a satellite navigation system, an inertial measurement unit and an ultra-wideband positioning system, and moving equipment along a preset construction route by a data fusion algorithm;
the satellite navigation system is used for acquiring position information of equipment, the inertial measurement unit is used for measuring the attitude angle and acceleration change of the equipment in real time, and the ultra-wideband positioning system is used for acquiring high-precision relative positioning of the equipment in a close range.
Optionally or preferably, the self-walking frame module comprises a laser obstacle avoidance sensor for scanning the surrounding environment of the equipment in real time, and when an obstacle is detected, the walking route is automatically adjusted through the IPCC pile intelligent control system to avoid collision.
Based on the technical scheme, the invention at least has the following technical effects:
according to the intelligent cast-in-situ large-diameter pipe pile equipment, full-automatic rotary digging, soil taking and annular hole forming can be realized through the IPCC pile intelligent control system, full-automatic concrete pouring and pile forming can be realized, real-time intelligent analysis and feedback are carried out on the whole construction process data, and the accuracy is high;
The intelligent construction method based on the intelligent cast-in-situ large-diameter pipe pile equipment can realize the intelligent and automatic operation of the construction process, monitor the construction quality in the whole process, and simultaneously analyze the data in real time by means of an artificial intelligent algorithm so that the equipment can be rapidly adapted to different geological conditions.
Drawings
FIG. 1 is a schematic diagram of a construction of the intelligent cast-in-situ large diameter pipe pile based device of the present invention;
FIG. 2 is a schematic diagram II of a structure based on intelligent cast-in-situ large-diameter pipe pile equipment;
FIG. 3 is a schematic structural view of a double-layer sleeve retaining wall module and an annular rotary digging module in the intelligent cast-in-situ large-diameter pipe pile equipment;
FIG. 4 is a schematic layout view of an IPCC pile intelligent control system in the intelligent construction method based on intelligent cast-in-situ large-diameter pipe pile equipment of the invention;
fig. 5 is a flow chart of an intelligent construction method based on intelligent cast-in-situ large-diameter pipe pile equipment.
In the figure, a power equipment module, a double-layer sleeve wall protection module, a 21 outer cylinder, a 22 outer cylinder fixing clamp, a 23 inner cylinder, a 24 inner cylinder fixing clamp, a 25 outer cylinder lifter, a 26 inner cylinder separating hydraulic cylinder, a 27 sleeve adapter, a 3 annular rotary digging module, a 31, an auger, a 32, an auger lifting mechanism, a 33, an auger fixing clamp, a 4, self-walking frame module and a 5, concrete pouring module are arranged.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments, and all other embodiments obtained by persons of ordinary skill in the art based on the embodiments of the present invention without making any inventive effort are within the scope of the present invention.
Examples
Referring to fig. 1 to 4, an intelligent construction method based on intelligent cast-in-situ large-diameter pipe pile equipment is disclosed, wherein construction is performed through the intelligent cast-in-situ large-diameter pipe pile equipment.
In this embodiment, the intelligent cast-in-situ large-diameter pipe pile equipment comprises a power equipment module 1, a double-layer sleeve arm protection module 2, a ring-shaped rotary digging module 3, a self-walking rack module 4 and a concrete pouring module.
Specifically, the self-walking frame module 4 adopts a crawler-type walking structure, and the crawler is composed of a high-strength alloy steel chain and a wear-resistant rubber block, so that the weight of equipment can be effectively dispersed, and the pressure intensity on the ground is reduced, thereby being suitable for construction sites with various different geological conditions, such as a soft silt land, a solid rock ground and a terrain with a certain gradient.
To achieve accurate self-walking of equipment within a construction site, the self-walking gantry module 4 is equipped with an automatic navigation and positioning system (navigation and positioning method of the device) in this embodiment. The system incorporates a global satellite navigation system (GNSS), an inertial measurement unit (I MU) and an ultra wideband positioning system (UWB).
The GNSS provides high-precision absolute position information, the I MU measures the change of the attitude angle and the acceleration of the equipment in real time, and the UWB positioning technology is used for high-precision relative positioning in a close range (such as when an obstacle shields GNSS signals in a construction area). The information acquired by the three technologies is comprehensively processed through a data fusion algorithm, so that equipment can be accurately moved along a preset construction route, and the positioning accuracy can reach the centimeter level. Meanwhile, a laser obstacle avoidance sensor is arranged on the frame to scan the surrounding environment in real time, and when an obstacle is detected, the walking route is automatically adjusted to avoid collision.
In this embodiment, the double-layer sleeve in the double-layer sleeve protection wall system can realize multi-section sleeve assembling lock catches with different heights by utilizing the sleeve adapter 27 according to the site construction conditions, so that the pile forming height requirements under different site conditions can be flexibly met.
In this embodiment, the double-layer sleeve arm protection module 2 is cooperatively controlled by a plurality of hydraulic cylinders. Each hydraulic cylinder is provided with a high-precision displacement sensor and a high-precision pressure sensor, and is used for monitoring the stroke and stress condition of the cylinder in real time. In the process of casing pipe lowering, according to preset construction parameters, a control system automatically adjusts the pressure and speed of a hydraulic oil cylinder according to geological exploration data and casing pipe stress conditions monitored in real time, and the casing pipe is ensured to sink stably. After the concrete pouring is completed, the lifting process of the sleeve is also strictly controlled. Through frictional force and the promotion speed of sleeve pipe between real-time supervision sleeve pipe and the concrete, avoid leading to concrete surface unevenness or pile body quality problem because of the promotion speed is too fast.
The annular rotary digging module 3 comprises an auger 31, an auger lifting mechanism 32 and an auger fixing clamp 33, and in the embodiment, the annular rotary digging system can realize full-automatic rotary digging soil taking into annular holes, full-automatic concrete pouring into piles and real-time intelligent analysis feedback of the whole construction process data.
During construction, the double-layer sleeve wall protection module 2 and the annular rotary digging module 3 synchronously press down and drill to a specified depth. The inner cylinder 23 is pushed down and forcibly pressed by the inner cylinder separating hydraulic cylinder 26 to be fixed in the soil, preventing the inner cylinder 23 from being pulled out or the bottom from shaking when the auger 31 is lifted. Finally, the auger 31 is lifted, concrete is poured, the pipe is drawn out in a vibrating mode to form piles, the whole process achieves full-automatic control of the upward drawing speed of the auger, and pile forming effect data are intelligently analyzed and fed back.
In this embodiment, the intelligent construction method based on the intelligent cast-in-situ large-diameter pipe pile equipment includes the following steps:
s1, preparing before construction, processing a working site and determining a pile position;
In this embodiment, all foreign matters irrelevant to construction and facilities affecting the construction under the ground are removed at the early stage of the operation. During construction, the ground surface of a construction site is leveled as much as possible, the ground surface is required to be treated when the ground surface is soft, and the drainage work of the site is required to be done.
Through intelligent tubular pile design software, obtain engineering geological profile and stratum parameter with the site investigation, transmit corresponding data to this platform on, this platform integrates finite element analysis, reason waiting geotechnical software in an organic wholely, then the platform outputs design parameter (such as stake length, stake footpath, stake interval and cloth stake scheme etc.). The axis control pile and the leveling point pile are required to be provided with numbers, and the position of the PCC pile hole is required to be paid off and calibrated. And a hole is formed in advance, and a bearing capacity experiment is performed to determine construction parameters, so that the bearing capacity can meet the requirements. The constructor marks the control points according to the plan and the PCC pile bitmap, draws the PCC pile position layout according to the detailed number of the engineering design PCC piles, and marks the positioned PCC pile positions.
S2, installing and debugging equipment, installing intelligent cast-in-situ large-diameter pipe pile equipment, connecting each module with an intelligent pipe pile design platform, and performing automatic navigation and positioning through an IPCC pile intelligent control system;
S3, in the drilling process, controlling a double-layer sleeve retaining wall module and an annular rotary digging module to synchronously press down and drill to a specified depth through an i PCC pile intelligent control system;
In this embodiment, the method for controlling the double-layer sleeve dado module by the i PCC pile intelligent control system includes the following steps:
S31 a, in the process of casing pipe lowering, according to preset construction parameters, a control system automatically adjusts the pressure and speed of a hydraulic cylinder according to geological exploration data and casing pipe stress conditions monitored in real time to ensure that the casing pipe stably sinks;
S32a, during construction, the double-layer sleeve wall protection system and the annular rotary digging system synchronously press down the drill to a specified depth, and the inner cylinder is pressed down and forcibly pressed by the inner cylinder separating hydraulic cylinder to be planted in soil for fixation, so that the inner cylinder is prevented from being pulled out or the bottom of the inner cylinder is prevented from shaking when the auger is lifted.
S4, in the concrete pouring process, lifting the annular rotary digging module, controlling the concrete pouring module to pour concrete through the i PCC pile intelligent control system, and vibrating and pulling the concrete to form piles;
in this embodiment, the method for controlling the concrete pouring module to pour concrete by the i PCC pile intelligent control system includes the following steps:
s31 b, spirally connecting a concrete conveying pipe connected with a ground pump with a liquid inlet pipe through a coiling frame to form a concrete pouring system;
And S32b, pumping the stirred concrete into a concrete conveying pipe through a ground pump, and conveying the concrete into the cavity structure of the inner sleeve and the outer sleeve through a feed hopper through a liquid inlet pipe connected to the movable slide rail.
S5, monitoring pile forming quality in real time through the intelligent pipe pile design platform.
In this embodiment, carry out real-time supervision to piling quality through intelligent tubular pile design platform and do:
And detecting pile forming quality through a static load test, a core drilling method, a low strain method, a high strain method and a sound wave transmission method, and simultaneously establishing a pile forming quality evaluation model by adopting a data analysis and processing technology. And establishing a pile forming quality evaluation model by using a data analysis and processing technology.
Further, the model comprehensively considers data acquired by various sensors, such as strain data, stress wave propagation data, ultrasonic detection data and the like, as well as design parameters and construction process data of the pipe pile. And training a large amount of detection data and corresponding piling quality assessment results through a machine learning algorithm (such as a decision tree, a support vector machine and the like) to establish a quality assessment model. And quantitatively evaluating pile forming quality according to the result output by the model, and judging whether the pile body meets the design requirement, and whether quality problems and the severity of the problems exist or not. Meanwhile, according to the quality evaluation result, a basis is provided for subsequent construction improvement and quality control measures.
In this embodiment, the iPCC pile intelligent control system includes an intelligent pipe pile design subsystem, a full-automatic construction subsystem, and an integrated perception monitoring and remote control subsystem.
The developed iPCC pile intelligent control software mainly comprises intelligent pipe pile design software, a full-automatic construction system and a platform system integrating sensing, monitoring and remote control. The intelligent pipe pile design software obtains engineering geological profile and stratum parameters through site investigation, and comprises depths, thicknesses, soil types (such as clay, sandy soil and silt soil) of different soil layers, physical mechanical parameters (such as density, internal friction angle, cohesive force and compression modulus) of each soil layer, corresponding data are transmitted to the platform, the platform integrates finite element analysis, correction, BIM and other software into a whole, and then the platform outputs design parameters (such as pile length, pile diameter, pile spacing, pile arrangement scheme and the like).
In this embodiment, the intelligent pipe pile design software utilizes a software automated design algorithm, and can automatically generate various design drawings and construction schemes for selection according to input parameters (such as geological conditions, load requirements and the like), and combines finite element analysis software simulation results and integrated machine learning algorithms to analyze historical design data and construction feedback, so as to provide optimization suggestions and improved design schemes, and realize visual design through multi-professional cooperation of B and I M.
The Support Vector Machine (SVM) algorithm can be used for classification and regression analysis in the supervised learning algorithm, can be used for solving nonlinear problems, is suitable for complex pile foundation design optimization, integrates a plurality of weak prediction models to improve the prediction performance, and integrates a plurality of decision trees to improve the prediction accuracy and robustness. In the unsupervised learning algorithm, a clustering algorithm, such as K-means, is used to identify natural groupings in the data, possibly for analyzing the construction data to find different construction patterns or anomalies. Principal Component Analysis (PCA) is used to reduce the dimensions, reduce the number of variables in the dataset, and retain the most important information, which can be used to simplify design parameters. In the reinforcement learning algorithm, Q-l earni ng is used for dynamically adjusting parameters in the construction process through interactive learning of an optimal strategy with the environment so as to realize the optimal construction effect. In the deep learning algorithm, a Convolutional Neural Network (CNN) is suitable for image data, image analysis (such as image analysis of geological section) is involved in design software, the CNN can extract characteristics and predict, and a cyclic neural network (RNN) is suitable for sequence data, analyzes time sequence data (such as time sequence data in the construction process) and can capture time dependence.
I, a full-automatic construction system of the PCC pile omits complicated steps of traditional PCC pile construction, and the construction of the PCC pile foundation can be completed only by leading in pile points, correcting coordinates, selecting the pile points and constructing the pile. The real-time dynamic Beidou positioning technology is adopted, the installed Beidou/GNSS antenna is combined, various sensing indexes are acquired through pile foundation sensors (current sensors, inclination sensors, filling quantity sensors and the like) and a data acquisition system, real-time accurate three-dimensional position information of a PCC pile head and pile body inclination angles are read, conditions of drilling and drilling speed, depth, drilling machine current and the like are read, then the pile foundation construction parameters are transmitted to mobile phone APP, PC computer ends and a monitoring center of third party equipment through the Internet and a cloud server, and a pile foundation equipment control interface displays the pile foundation construction state in real time. The remote monitoring platform integrates the functions of screen monitoring, equipment running state sensing, remote operation and the like, and the quality, progress data, working state and the like of pile foundation construction can be managed through the cloud platform.
According to the intelligent construction method based on the intelligent cast-in-situ large-diameter pipe pile equipment, aiming at real-time geological conditions, rapid intelligent design is realized, full-automatic control of the construction process is realized, parameters such as pile foundation penetration depth and speed are identified in real time, soil layer parameter rationality is inverted, and pile forming quality automatic sensing and detection research is developed.
And selecting a proper inversion model, such as an Artificial Neural Network (ANN), a Bayesian network and the like, according to the relation between the data characteristics and the soil layer parameters. The model is trained and validated using a large number of field test data and cases of known soil layer parameters. In the training process, the methods of cross validation, regularization and the like are adopted to prevent the model from being overfitted, so that the generalization capability of the model is improved. Along with the construction, new data are continuously accumulated, and the inversion model is updated and optimized by using the new data. And adjusting parameters and structures of the model according to errors between the new data and the model prediction result. Meanwhile, new geological information and construction condition change information are introduced, so that the inversion model can adapt to different construction scenes, and the accuracy of soil layer parameter inversion is improved.
In the embodiment, the sensor with strong stability is installed on the pile foundation, the deformation, stress and other conditions of the pile foundation are monitored in real time, various parameters in the construction process are accurately mastered, a virtual model of pile foundation construction is established through whole-process digital twinning, the digital recording and monitoring of the construction process are realized through the corresponding relation between a physical entity and the virtual entity, the response of equipment and the foundation soil response in the pile foundation construction process are actually measured, and the influence of pile sinking effect is analyzed.
The load and deformation condition of pile foundation construction are predicted by establishing a model through data analysis, the problems existing in the pile foundation construction are known through data analysis, and measures are taken in time to repair and adjust, so that the construction quality is ensured. Based on the real-time construction data and a preset construction standard, an expert system and a fuzzy logic control algorithm are utilized to make an intelligent decision. When the construction parameters (such as penetration depth, speed, pressure, etc.) deviate from the preset range, the control system automatically adjusts the operating parameters of the construction equipment. For example, if the penetration speed is too high, the control system reduces the power output of the pile driver, and if the penetration depth is insufficient, the perpendicularity of the pile driver is adjusted or the penetration pressure is increased. Meanwhile, the construction sequence and the construction process are dynamically optimized according to the construction progress and the geological change condition, and the construction quality and the construction efficiency are ensured. The pile sinking effect can be predicted and estimated more accurately by intelligent data analysis and technology, the construction scheme can be adjusted in time, the construction risk is reduced, and the construction efficiency and quality are improved.
The optimal equipment parameters and the process parameters are researched, remote monitoring of a construction site and immediate evaluation of construction quality are realized through collecting construction parameter data and through data analysis technologies such as data sharing, a cloud server, an artificial intelligence algorithm and the like, a process template is established, when process design of similar products is carried out, the process template is established, process routes, procedures, process steps and related requirements are integrated to form a process information frame, the construction process can be controlled more accurately through an intelligent process parameter decision and control system, and the degree of automation of construction is improved.
The full-automatic construction system provided in the embodiment omits complicated steps of traditional PCC pile construction, and can complete PCC pile foundation construction only by guiding pile points, correcting coordinates, selecting pile points and constructing piles. The real-time dynamic Beidou positioning technology is adopted, the installed Beidou/GNSS antenna is combined, various sensing indexes are acquired through pile foundation sensors (current sensors, inclination sensors, filling quantity sensors and the like) and a data acquisition system, real-time accurate three-dimensional position information of a PCC pile head and pile body inclination angles are read, conditions of drilling and drilling speed, depth, drilling machine current and the like are read, then the pile foundation construction parameters are transmitted to mobile phone APP, PC computer ends and a monitoring center of third party equipment through the Internet and a cloud server, and a pile foundation equipment control interface displays the pile foundation construction state in real time. The remote monitoring platform integrates the functions of screen monitoring, equipment running state sensing, remote operation and the like, and the quality, progress data, working state and the like of pile foundation construction can be managed through the cloud platform.
In the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "configured to," "engaged with," "connected to," and the like are to be construed broadly, and include, for example, "connected to," whether fixedly connected to, detachably connected to, or integrally connected to, mechanically connected to, electrically connected to, directly connected to, indirectly connected to, and in communication with each other via an intermediate medium. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. The intelligent construction method based on the intelligent cast-in-situ large-diameter pipe pile equipment is characterized by comprising a power equipment module, a double-layer sleeve wall protection module, an annular rotary digging module, a self-walking rack module and a concrete pouring module;
the intelligent construction method based on the intelligent cast-in-situ large-diameter pipe pile equipment comprises the following steps:
s1, preparing before construction, processing a working site and determining a pile position;
S2, installing and debugging equipment, installing intelligent cast-in-situ large-diameter pipe pile equipment, connecting each module with an intelligent pipe pile design platform, and performing automatic navigation and positioning through an IPCC pile intelligent control system;
s3, in the drilling process, a iPCC pile intelligent control system is used for controlling the double-layer sleeve wall protection module and the annular rotary digging module to synchronously press down the drilling construction to a specified depth;
s4, in the concrete pouring process, lifting the annular rotary digging module, controlling the concrete pouring module to pour concrete through a iPCC pile intelligent control system, and vibrating and pulling the concrete to form piles;
s5, monitoring pile forming quality in real time through the intelligent pipe pile design platform.
2. The intelligent construction method based on intelligent cast-in-situ large-diameter pipe pile equipment according to claim 1, wherein the method for controlling the double-layer sleeve wall protection module through iPCC pile intelligent control system in S3 comprises the following steps:
S31 a, in the process of casing pipe lowering, according to preset construction parameters, a control system automatically adjusts the pressure and speed of a hydraulic cylinder according to geological exploration data and casing pipe stress conditions monitored in real time to ensure that the casing pipe stably sinks;
S32a, during construction, the double-layer sleeve wall protection system and the annular rotary digging system synchronously press down the drill to a specified depth, and the inner cylinder is pressed down and forcibly pressed by the inner cylinder separating hydraulic cylinder to be planted in soil for fixation, so that the inner cylinder is prevented from being pulled out or the bottom of the inner cylinder is prevented from shaking when the auger is lifted.
3. The intelligent construction method based on intelligent cast-in-situ large-diameter pipe pile equipment according to claim 1, wherein the method for controlling the concrete pouring module to pour concrete through iPCC pile intelligent control system in S4 comprises the following steps:
s31 b, spirally connecting a concrete conveying pipe connected with a ground pump with a liquid inlet pipe through a coiling frame to form a concrete pouring system;
And S32b, pumping the stirred concrete into a concrete conveying pipe through a ground pump, and conveying the concrete into the cavity structure of the inner sleeve and the outer sleeve through a feed hopper through a liquid inlet pipe connected to the movable slide rail.
4. The intelligent construction method based on intelligent cast-in-situ large-diameter pipe pile equipment according to claim 1, wherein in S5, the pile forming quality is monitored in real time through an intelligent pipe pile design platform as follows:
And detecting pile forming quality through a static load test, a core drilling method, a low strain method, a high strain method and a sound wave transmission method, and simultaneously establishing a pile forming quality evaluation model by adopting a data analysis and processing technology.
5. The intelligent construction method based on intelligent cast-in-situ large-diameter pipe pile equipment according to claim 1, wherein the iPCC pile intelligent control system comprises an intelligent pipe pile design subsystem, a full-automatic construction subsystem, an integrated perception monitoring and remote control subsystem.
6. The intelligent construction method based on intelligent cast-in-situ large-diameter pipe pile equipment according to claim 1, wherein the method for automatic navigation and positioning through the IPCC pile intelligent control system in S1 is that a satellite navigation system, an inertial measurement unit and an ultra-wideband positioning system are combined, and the equipment is moved along a preset construction route through a data fusion algorithm;
the satellite navigation system is used for acquiring position information of equipment, the inertial measurement unit is used for measuring the attitude angle and acceleration change of the equipment in real time, and the ultra-wideband positioning system is used for acquiring high-precision relative positioning of the equipment in a close range.
7. The intelligent construction method based on intelligent cast-in-situ large-diameter pipe pile equipment according to claim 1, wherein the self-walking frame module comprises a laser obstacle avoidance sensor for scanning the surrounding environment of the equipment in real time, and when an obstacle is detected, the walking route is automatically adjusted through an IPCC pile intelligent control system to avoid collision.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202510078153.6A CN119824907A (en) | 2025-01-17 | 2025-01-17 | Intelligent construction method based on intelligent cast-in-situ large-diameter pipe pile equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202510078153.6A CN119824907A (en) | 2025-01-17 | 2025-01-17 | Intelligent construction method based on intelligent cast-in-situ large-diameter pipe pile equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN119824907A true CN119824907A (en) | 2025-04-15 |
Family
ID=95303937
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202510078153.6A Pending CN119824907A (en) | 2025-01-17 | 2025-01-17 | Intelligent construction method based on intelligent cast-in-situ large-diameter pipe pile equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN119824907A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09296446A (en) * | 1996-05-01 | 1997-11-18 | Porta- Seizo Kk | Rotary press-fitting method for steel pipe piles |
| US6301551B1 (en) * | 1998-10-01 | 2001-10-09 | Pile Dynamics, Inc. | Remote pile driving analyzer |
| CN115897593A (en) * | 2022-10-20 | 2023-04-04 | 江苏斯维尔工程技术有限公司 | Intelligent cast-in-place large-diameter tubular pile machine and construction method thereof |
| CN119102498A (en) * | 2024-09-24 | 2024-12-10 | 重庆大学 | Pile foundation equipment and pile construction method used in complex foundation |
-
2025
- 2025-01-17 CN CN202510078153.6A patent/CN119824907A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09296446A (en) * | 1996-05-01 | 1997-11-18 | Porta- Seizo Kk | Rotary press-fitting method for steel pipe piles |
| US6301551B1 (en) * | 1998-10-01 | 2001-10-09 | Pile Dynamics, Inc. | Remote pile driving analyzer |
| CN115897593A (en) * | 2022-10-20 | 2023-04-04 | 江苏斯维尔工程技术有限公司 | Intelligent cast-in-place large-diameter tubular pile machine and construction method thereof |
| CN119102498A (en) * | 2024-09-24 | 2024-12-10 | 重庆大学 | Pile foundation equipment and pile construction method used in complex foundation |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US12037907B2 (en) | Hypergravity model test device and method for simulating progressive failure of shield tunnel face | |
| CN111877418B (en) | Real-time monitoring and early warning system for dynamic construction of deep foundation pit and using method | |
| CN113779835A (en) | AI and intelligent monitoring system based deep and large foundation pit safety early warning method | |
| CN116911115A (en) | A digital twin tunnel and intelligent construction method and system | |
| CN215909901U (en) | Multi-data mixed high slope monitoring and early warning device | |
| CN117852961B (en) | A pile quality control method and system for rock pile construction | |
| CN119622870B (en) | A real-time dynamic prediction system and method for the three-dimensional shape of high-pressure jet grouting piles | |
| JP7322616B2 (en) | Information processing device, information processing method, program and drilling system | |
| Zheng et al. | Estimation of the hydraulic parameters of leaky aquifers based on pumping tests and coupled simulation/optimization: Verification using a layered aquifer in Tianjin, China | |
| CN114638035B (en) | Whole process control method for large open caisson construction and application | |
| CN113936228A (en) | High slope monitoring and early warning system based on unmanned aerial vehicle data check | |
| CN118822277B (en) | Construction method for drilling holes for bridge pile foundations in karst areas | |
| JP2026040673A (en) | Excavation work management method | |
| CN119824907A (en) | Intelligent construction method based on intelligent cast-in-situ large-diameter pipe pile equipment | |
| CN121030880A (en) | A method and system for complex geological pile laying construction based on BIM technology | |
| CN118958340A (en) | Double-wall steel cofferdam embedded in rock for deep-water bare rock drilling rectangular slot and its construction method | |
| CN213173663U (en) | Dynamic consolidation construction system for large-area complex site foundation of water transport engineering | |
| CN110728438B (en) | Stock ground reserve analysis and evaluation method | |
| CN113464126A (en) | Device and method for monitoring stratum change of drilling machine in drilling process | |
| CN120276062B (en) | Underwater geological interpretation method and system based on multi-source data integration algorithm | |
| CN119843723B (en) | Monitoring System and Method for Slope Stability During Deep Foundation Pit Excavation of Ship Lock in Mudstone Area | |
| CN120505964A (en) | Construction method for penetrating ultra-thick clay layer under ultra-large land subsidence well | |
| CN120410033A (en) | Monitoring control system and method for underwater paving construction of large-area Reynolds mats in waterways | |
| WO2024083298A1 (en) | Ground material type identification | |
| CN120425733A (en) | Foundation pit excavation support equipment and method |
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 |