Intelligent automatic piling vibroflotation system

Abstract

The utility model belongs to the technical field of civil engineering equipment, and particularly relates to an intelligent automatic piling vibroflotation system which comprises a vibroflotation device, a multifunctional pile frame, a data collection module, a data transmitting and receiving module, a data processing center, an intelligent decision support system, an intelligent control system, a predictive maintenance module and a user interface module. The first hydraulic rod and the second hydraulic rod are matched with a triangular supporting structure of the base and the beam frame, so that accurate adjustment and high stability of the angle of the mast are realized; the data collection module integrates various sensors, a high-definition camera and a voice recognition module, and collects construction site data in real time; the data transmitting and receiving module utilizes a Beidou cloud system and a 5G internet of things to realize efficient and stable transmission of data; the data processing center is combined with the intelligent decision support system to generate optimized construction parameters based on real-time and historical data; the intelligent control system dynamically adjusts parameters of the vibroflot and the pile frame, and accurate construction is ensured.

Description

Technical Field

[0001] This utility model belongs to the field of civil engineering equipment technology, specifically relating to an intelligent automatic pile driving and vibratory compaction system. Background Technology

[0002] In current infrastructure construction, vibro-compaction is a commonly used foundation treatment method, widely applied in soil reinforcement and foundation improvement. However, traditional vibro-compaction piling equipment has certain limitations in operation. For example, adjusting the mast angle usually requires manual operation, which is not only time-consuming and labor-intensive but also prone to human error leading to mast angle deviations, thus affecting the accuracy of piling. Furthermore, during vibro-compaction, the mast may sway or shift due to insufficient equipment stability, further reducing construction quality.

[0003] As engineering projects become increasingly complex and large-scale, the importance of real-time data monitoring, analysis, and decision support during construction is becoming increasingly prominent. Traditional equipment often lacks sufficient data acquisition and processing capabilities, and construction management relies entirely on the experience of operators, making it difficult to cope with complex construction environments. Even equipment equipped with simple data acquisition functions often fails to provide strong support for construction decisions due to insufficient data analysis capabilities.

[0004] In existing technologies, the monitoring and maintenance of equipment operating status are usually based on planned maintenance at fixed time intervals. This approach may lead to sudden equipment failures during operation, causing construction interruptions and economic losses. Furthermore, the lack of real-time detection and analysis methods for equipment performance degradation often makes it difficult to identify potential problems in a timely manner, thereby increasing the risk of equipment operation failures. Utility Model Content

[0005] To address the problems existing in the prior art, the purpose of this utility model is to provide an intelligent automatic piling vibratory compaction system. This system can achieve precise mast angle adjustment and improve the stability of the piling machine during construction. It also has real-time data acquisition, intelligent analysis, construction parameter optimization, and predictive maintenance functions.

[0006] To achieve the above objectives, this utility model provides the following technical solution:

[0007] An intelligent automatic piling and vibratory compaction system, the system comprising:

[0008] Vibratory compactors are used to perform vibratory compaction pile construction or compaction vibratory compaction pile construction, and are suitable for construction needs in various geological formations.

[0009] The multi-functional pile frame has drilling, pile driving and lifting functions, and is integrated with the vibratory compactor to achieve precise positioning and synchronous operation;

[0010] The multi-functional pile driver includes a mast and a luffing mechanism; the luffing mechanism is used to adjust the angle of the mast to facilitate vertical pile driving.

[0011] The luffing mechanism includes a base connected to the side of the mast, on which a base and a first beam are rotatably connected, and the other ends of the base and the first beam are both connected to the machine body;

[0012] The second beam has a first hydraulic rod connecting to the base on both sides at one end;

[0013] A second hydraulic rod is connected to both sides of the base and between the mast;

[0014] A pin joint is connected between the telescopic end of the second hydraulic rod and the mast;

[0015] A connecting plate connects the base and the mast.

[0016] Furthermore, it also includes:

[0017] The data collection module, integrated on the multi-functional pile frame, includes sensors, a high-definition camera, image recognition, and voice recognition modules, used to collect real-time images of soil conditions, pile depth, and construction site.

[0018] The data transmission and reception module connects to the sensor via a CAN line and transmits data to the data processing center based on the Beidou cloud system and the 5G Internet of Things system.

[0019] The data processing center is used to centrally store, process, and manage structured and unstructured data, and to support the monitoring and scheduling of construction progress.

[0020] The intelligent decision support system, including a knowledge base, inference engine, and natural language processing system, provides optimization suggestions for construction parameters through self-learning to support construction decisions;

[0021] The intelligent control system receives suggestions from the decision support system and automatically adjusts the operating parameters of the vibratory compactor to adapt to different construction needs.

[0022] The predictive maintenance module analyzes historical and real-time data to predict equipment failure risks and automatically trigger maintenance plans.

[0023] The user interface module includes an equipment operation interface and a remote control interface, used for real-time monitoring and control of the construction process;

[0024] The data collection module further includes:

[0025] High-definition cameras capable of monitoring construction sites are used to capture video and image information;

[0026] A module that supports voice recognition is used to recognize and record on-site operation instructions.

[0027] Furthermore, the data transmission and reception module enables real-time data transmission via a 5G network to ensure the stability and timeliness of data transmission during the construction process.

[0028] Furthermore, the intelligent decision support system can provide optimization suggestions for construction parameters for similar strata based on historical construction data of different strata.

[0029] Furthermore, the predictive maintenance module, based on machine learning and big data analytics algorithms, predicts trends in equipment performance degradation and provides early warnings of malfunctions.

[0030] Furthermore, the user interface module has a secure access mechanism, including access permission management and password protection, to ensure the security of sensitive information.

[0031] Compared with the prior art, the beneficial effects of this utility model are:

[0032] This invention provides an intelligent automatic piling and vibratory compaction system. Through the design of a multi-functional pile frame, it solves the problems of low efficiency and insufficient precision in mast angle adjustment in existing technologies. The mast, through the coordinated operation of the first and second hydraulic rods, combined with the triangular support structure of the base and beam frame, maintains a high degree of stability during construction, avoiding mast swaying or deviation during piling, thereby significantly improving piling accuracy.

[0033] The introduction of the data collection module effectively solves the problems of incomplete and unreal-time data acquisition during construction. By integrating multiple sensors, high-definition cameras, and a voice recognition module, the data collection module can comprehensively monitor soil conditions, pile depth, and construction process status at the construction site. The real-time acquired data provides a solid foundation for subsequent construction decisions and significantly improves the controllability and safety of the construction process.

[0034] The data transmission and reception modules utilize the BeiDou cloud system and 5G IoT system to achieve efficient and stable data transmission. Through data buffering units and error correction mechanisms, the problem of data transmission being easily interfered with at construction sites is solved, ensuring the timeliness and accuracy of data transmission and providing a stable and reliable input source for the data processing center.

[0035] The combination of a data processing center and an intelligent decision support system solves the problems of low efficiency and reliance on manual experience in traditional construction management. The data processing center, through efficient distributed storage and analysis algorithms, can quickly process large-scale structured and unstructured data during construction. The intelligent decision support system, based on a knowledge base and inference engine, can generate optimized construction parameter suggestions based on historical construction data and achieve efficient human-computer interaction through a natural language processing system, providing a scientific solution for construction in complex geological formations.

[0036] The intelligent control system, through a closed-loop feedback control mode, solves the problem of significant human error during construction. This system can dynamically adjust the parameters of the vibratory compactor and multi-functional pile frame based on real-time construction data, ensuring precise operation of the equipment under different geological conditions and significantly improving the stability and reliability of construction.

[0037] Predictive maintenance modules, by combining machine learning and big data analytics, address the shortcomings of traditional equipment maintenance, which relies on fixed intervals and lacks early warning capabilities. Through comprehensive analysis of historical equipment data and real-time operational status, this module can predict equipment performance degradation trends and proactively trigger maintenance plans, thereby avoiding construction interruptions caused by sudden equipment failures and reducing unnecessary maintenance costs.

[0038] The user interface module addresses the challenges of complex operation and difficult remote management of traditional construction equipment through its integrated equipment operation and remote control interfaces. It supports real-time display of construction parameters, remote adjustment of equipment operating status, and incorporates access control and password protection mechanisms to ensure system security while improving the visualization and management efficiency of the construction process. Attached Figure Description

[0039] Figure 1 This is a schematic diagram of the intelligent automatic piling and vibratory compaction system described in this utility model;

[0040] Figure 2 This is a control principle diagram of the intelligent automatic piling and vibratory compaction system described in this utility model;

[0041] Figure 3 This is a structural schematic diagram of a multi-functional pile frame;

[0042] Figure 4 for Figure 3 Enlarged view of point A in the middle. Detailed Implementation

[0043] To make the objectives and advantages of this utility model clearer, the following detailed description is provided in conjunction with embodiments. It should be understood that the following text is merely used to describe one or more specific embodiments of this utility model and does not strictly limit the scope of protection specifically claimed by this utility model.

[0044] Example 1

[0045] See Figure 1-4 An intelligent automatic piling and vibratory compaction system, the system comprising:

[0046] The vibratory compactor is used to perform vibratory compaction pile construction or compaction vibratory compaction pile construction, adapting to the construction needs of various strata; the vibratory compactor integrates a high-precision vibration sensor for real-time monitoring of vibration frequency and excitation force; the vibratory compactor shell is made of high-strength alloy material, which can maintain stability under high stress environment; the vibratory compactor is precisely connected to a multi-functional pile frame through adjustable connecting parts to ensure the stability and reliability of vibratory compaction construction.

[0047] The multi-functional pile driver has drilling, pile driving, and lifting functions, and is integrated with a vibratory compactor to achieve precise positioning and synchronous operation. The mast 5 of the multi-functional pile driver is made of high-strength steel and has bending and torsional resistance. The luffing mechanism 4 of the multi-functional pile driver includes a base 41, a first beam frame 42, a second beam frame 43, a first hydraulic rod 44, and a second hydraulic rod 45, which can achieve precise angle adjustment of the mast 5 through multi-point support and hydraulic adjustment. The base 41 is equipped with anti-vibration rubber pads to reduce the impact of vibration on the equipment and extend its service life.

[0048] The multi-functional pile driver includes a mast 5 and a luffing mechanism 4; the luffing mechanism 4 is used to adjust the angle of the mast 5 to facilitate vertical pile driving; the luffing mechanism 4 further includes a base 41 connected to the side of the mast 5, and a first beam 42 is rotatably connected to the base 41, the other ends of the base 41 and the first beam 42 are both connected to the machine body; the base 41 adopts a reinforcing rib design to improve the rigidity and stability of the overall structure;

[0049] The second beam 43 has a first hydraulic rod 44 connected to the base 41 on both sides of one end; the first hydraulic rod 44 has an adjustable telescopic length and a high-precision positioning function, which is used to quickly adjust the angle of the mast 5.

[0050] A second hydraulic rod 45 is connected to both sides of the base 41 and between the mast 5; a pin joint 451 is connected between the telescopic end of the second hydraulic rod 45 and the mast 5; the pin joint 451 is made of high-strength alloy material to ensure the firmness and durability of the connection.

[0051] A connecting plate 411 is connected between the base 41 and the mast 5; the connecting plate 411 is designed to be detachable, which facilitates the installation and maintenance of the equipment.

[0052] Example 2

[0053] The intelligent automatic pile driving and vibratory compaction system also includes:

[0054] The data collection module 10, integrated on the multi-functional pile frame, includes sensors, a high-definition camera, and image and voice recognition modules. It is used to collect real-time images of soil conditions, pile depth, and construction site conditions. The data collection module 10 contains various types of sensors, including pressure sensors, humidity sensors, and vibration sensors, used to collect soil physical properties and the operating status of construction equipment. The high-definition camera has night vision and autofocus functions, enabling it to capture high-quality images in low-light environments. The voice recognition module uses noise reduction technology to achieve accurate voice command recognition in complex construction site environments.

[0055] The data transmission and reception module connects to the sensor via a CAN line and transmits data to the data processing center 12 based on the Beidou cloud system and the 5G IoT system. The data transmission and reception module is equipped with a data buffer unit and an error correction mechanism to ensure the continuity and accuracy of data transmission. The combination of the Beidou cloud system and the 5G IoT system can provide real-time, high-speed, and low-latency transmission services in high-data-volume scenarios. The data transmission module housing adopts a dustproof and waterproof design, making it suitable for various complex construction environments.

[0056] Data processing center 12 is used for centralized storage, processing and management of structured and unstructured data, and supports the monitoring and scheduling of construction progress. Data processing center 12 adopts a distributed storage architecture and has efficient data retrieval and management capabilities. The data processing center has a built-in deep learning model, which can dynamically optimize construction data analysis algorithms and improve the accuracy of analysis. The data processing center is equipped with a fault self-diagnosis function to ensure stable operation during critical construction stages.

[0057] The intelligent decision support system 13 includes a knowledge base, an inference engine, and a natural language processing system. It provides construction parameter optimization suggestions through self-learning to support construction decisions. The intelligent decision support system 13 has a built-in historical construction case library, which supports the extraction of the optimal construction plan from massive construction data. The inference engine operates based on rule and data-driven modes and can quickly generate the best decisions under various complex construction conditions. The natural language processing system supports multilingual construction guidance and optimizes instruction transmission by combining semantic analysis functions.

[0058] The intelligent control system 14 receives suggestions from the decision support system and automatically adjusts the operating parameters of the vibratory compactor and multi-functional pile frame to adapt to different construction needs. The intelligent control system 14 adopts a closed-loop feedback control mode, which monitors construction parameters in real time through sensors and dynamically adjusts the equipment status. The intelligent control system includes a visual operation interface and remote control function, which makes it convenient for operators to monitor and adjust the equipment operation in real time.

[0059] The predictive maintenance module 16 analyzes historical and real-time data to predict equipment failure risks and automatically trigger maintenance plans. The predictive maintenance module 16 combines equipment operating status and working condition data to generate detailed failure prediction reports. The module is equipped with a cloud-based data analysis platform, which can remotely update the equipment maintenance algorithm. The maintenance plan is automatically coordinated with the construction schedule to avoid interfering with the project progress.

[0060] User interface module 15 includes a device operation interface and a remote control interface, used for real-time monitoring and control of the construction process; the device operation interface supports both touch screen and button operation, and displays construction parameters, alarm information and equipment operating status; the remote control interface is based on 5G IoT technology and is seamlessly connected to the intelligent control system, making it convenient for operators to manage construction in a remote environment; user interface module 15 provides multi-level access permission settings, combined with password protection and encryption technology to ensure system security.

[0061] See Figure 1-2 The data collection module 10 further includes: a high-definition camera capable of monitoring the construction site for capturing video and image information; the high-definition camera is equipped with a panoramic shooting mode and motion tracking function to adapt to complex construction scenarios;

[0062] The module supports voice recognition, which is used to recognize and record on-site operation commands; the voice recognition module adopts a dynamic noise suppression algorithm, which can efficiently recognize voice commands in noisy environments;

[0063] See Figure 1-2 The data transmission and reception modules achieve real-time data transmission through the 5G network to ensure the stability and timeliness of data transmission during the construction process; the 5G network has a redundant connection mechanism to ensure the reliability of data transmission.

[0064] See Figure 2 The intelligent decision support system 13 can provide optimization suggestions for construction parameters for similar strata based on historical construction data of different strata; the inference engine of the intelligent decision support system 13 adopts a multi-layer logic model, which can quickly adapt to new input data;

[0065] See Figure 2The predictive maintenance module 16 is based on machine learning and big data analysis algorithms to predict the trend of equipment performance degradation and provide early warning of faults; the algorithm of the predictive maintenance module 16 can dynamically adjust the model parameters according to the construction environment and equipment load.

[0066] See Figure 2 The user interface module 15 has a secure access mechanism, including access control and password protection, to ensure the security of sensitive information; the user interface module 15 also supports two-factor authentication and logging functions to track system usage.

[0067] The working principle of this utility model is as follows:

[0068] During pile driving, the angle of mast 5 can be controlled by controlling the extension and retraction length of the first hydraulic rod 44 and the second hydraulic rod 45. When mast 5 is perpendicular to the ground to be piled, the angle adjustment operation of mast 5 is completed.

[0069] The second hydraulic rod 45, the base 41 and the mast 5 form a stable triangular structure. At the same time, the base 41, the second beam frame 43 and the first hydraulic rod 44 also form a triangular structure, which can prevent the mast 5 from shaking and shifting during the piling process, thereby improving the accuracy of piling.

[0070] The working principles of each module in the system are as follows:

[0071] Data acquisition and transmission process:

[0072] Data collection module 10:

[0073] The system integrates multiple sensors on a multi-functional pile frame to monitor soil conditions and pile depth in real time during construction.

[0074] The camera uses image recognition technology to capture video and images of the construction site in real time, which is used to monitor construction progress, identify safety hazards, and assess construction quality.

[0075] The voice recognition module records voice commands at the construction site, enabling diverse data collection.

[0076] Data transmission and reception module 11:

[0077] The data collected by the sensor is transmitted to the data transmission module via the CAN line.

[0078] The data transmission module uses the Beidou cloud system and the G Internet of Things system to wirelessly transmit real-time data from the construction site to the data processing center 12.

[0079] Data processing and intelligent decision support:

[0080] Data Processing Center 12 is responsible for storing and managing structured data (such as tables and database information) and unstructured data during construction.

[0081] During construction, the data center receives and processes large amounts of data in real time, providing support for the monitoring, management, and scheduling of the construction process.

[0082] The intelligent decision support system 13 analyzes and learns construction data through a knowledge base, inference engine, and natural language processing system.

[0083] When construction encounters geological strata similar to those in the past, the system proactively provides optimized construction parameter suggestions based on historical data.

[0084] The system-generated suggestions are directly transmitted to operators or automatic control systems, ensuring more scientific and efficient construction management.

[0085] Equipment control and construction management:

[0086] The intelligent control system 14 receives suggestions from the intelligent decision support system 13 based on data analysis and model prediction.

[0087] The system automatically adjusts the operating parameters of the vibratory compactor and the multi-functional pile frame, such as rotation speed and excitation force, to adapt to the construction needs of different strata.

[0088] By reducing human error, the system improves the stability and reliability of the construction process, enabling precise construction.

[0089] Predictive maintenance and system stability:

[0090] The predictive maintenance module 16 detects signs of equipment performance degradation or potential failures by analyzing the equipment's historical operating data and real-time performance status.

[0091] The system uses machine learning and big data analytics models to predict the likelihood and timing of equipment failures and proactively trigger maintenance plans.

[0092] By performing maintenance in advance, construction losses caused by sudden equipment downtime can be avoided, and unnecessary maintenance costs can be reduced.

[0093] User interaction and control interface:

[0094] User Interface Module 15

[0095] The user interface includes the device operation interface and the remote control interface.

[0096] Equipment operation interface: The equipment displays construction parameters via a touch screen and receives instructions from the intelligent decision support system 13, supporting local operation.

[0097] Remote control interface: Allows operators to remotely monitor the construction status and adjust equipment operating parameters, alarm thresholds, and other settings.

[0098] The system ensures operational security through access control and password protection, and provides error messages and recovery mechanisms in case of system errors or failures.

[0099] The above description is merely a preferred embodiment of this utility model. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of this utility model, and these improvements and modifications should also be considered within the scope of protection of this utility model. Structures, devices, and operating methods not specifically described or explained in this utility model, unless otherwise specified or limited, shall be implemented using conventional methods in the field.

Claims

1. An intelligent automatic piling and vibratory compaction system, characterized in that... ,include: Vibratory impactor; A multi-functional pile frame for integration with the vibratory compactor; the multi-functional pile frame includes a mast (5) and a variable amplitude mechanism (4); the variable amplitude mechanism (4) is used to adjust the angle of the mast (5); The luffing mechanism (4) includes a base (41) connected to the side of the mast (5), on which a base (41) and a first beam frame (42) are rotatably connected, and the other ends of the base (41) and the first beam frame (42) are both connected to the body. The second beam (43) has a first hydraulic rod (44) connected to the base (41) on both sides of one end; A second hydraulic rod (45) is connected between both sides of the base (41) and between the mast (5); A pin joint (451) is connected between the telescopic end of the second hydraulic rod (45) and the mast (5); A connecting plate (411) connects the base (41) and the mast (5).

2. The intelligent automatic piling and vibratory compaction system according to claim 1, characterized in that, Also includes: The data collection module (10), integrated on the multi-functional pile frame, includes a sensor, a high-definition camera, an image recognition and voice recognition module, for real-time collection of soil conditions, pile depth and construction site images; The data transmission and reception module connects to the sensor via a CAN line and transmits the data to the data processing center (12) based on the Beidou cloud system and the 5G Internet of Things system. The data processing center (12) is used to centrally store, process and manage structured and unstructured data, and to support the monitoring and scheduling of construction processes. The intelligent decision support system (13) includes a knowledge base, an inference engine and a natural language processing system, which provides construction parameter optimization suggestions through self-learning to support construction decisions; The intelligent control system (14) receives suggestions from the decision support system and automatically adjusts the operating parameters of the vibratory impactor; The predictive maintenance module (16) predicts equipment failure risks and automatically triggers maintenance plans by analyzing historical and real-time data; The user interface module (15) includes an equipment operation interface and a remote control interface for real-time monitoring and control of the construction process; The data collection module (10) includes: High-definition cameras capable of monitoring construction sites are used to capture video and image information; A module that supports voice recognition is used to recognize and record on-site operation instructions.

3. The intelligent automatic piling and vibratory compaction system according to claim 2, characterized in that: The data transmission and reception module enables real-time data transmission via a 5G network.

4. The intelligent automatic piling and vibratory compaction system according to claim 2, characterized in that: The predictive maintenance module (16) predicts the trend of equipment performance decline and provides early warning of faults based on machine learning and big data analysis algorithms.

5. The intelligent automatic piling and vibratory compaction system according to claim 2, characterized in that: The user interface module (15) has a secure access mechanism, including access permission management and password protection.

Images