A mixing pile joint rod type drill pipe construction data intelligent processing system

By acquiring real-time data and dynamically adjusting construction parameters, the problem of uneven pile body caused by changes in geological conditions during the construction of mixing piles was solved, and adaptive control and quality assurance of the construction process were achieved.

CN121345511BActive Publication Date: 2026-03-24SUZHOU TRAFFIC ENG GRP CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-12-18
Publication Date
2026-03-24

AI Technical Summary

Technical Problem

In existing methods for constructing mixing piles, fixed construction parameters cannot adapt to real-time changes in geological conditions during construction, resulting in uneven physical properties of the pile body along the depth direction. Furthermore, the reliance on manual intervention for adjustments introduces subjectivity and uncertainty, affecting the uniformity and standardization of construction quality.

Method used

The system uses a data acquisition module to collect construction data in real time. Through a macroscopic construction condition identification module and a microscopic geological condition perception module, combined with a multi-mode dynamic coupling control module, the drilling rig lifting speed and cement slurry pumping rate are dynamically adjusted to achieve adaptive control.

Benefits of technology

This improved the uniformity of mixing along the depth direction of the pile, reduced the labor intensity of operators, minimized the impact of subjective adjustments, and ensured the stability and consistency of the construction process.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to the pile foundation construction technical field and discloses a mixing pile joint rod type drill rod construction data intelligent processing system which comprises a data acquisition module, a macro construction working condition identification module, a micro geological state sensing module and a multi-mode dynamic coupling control module. The macro construction working condition identification module determines macro working conditions such as drilling, rod jointing or mixing and lifting modes in real time according to drill rod depth data, slurry pump start-stop states and the like. When the mixing and lifting mode is determined, the micro geological state sensing module is activated, the micro geological state is determined to be an overload trend, a load loss trend or a steady state interval and the like according to comparison of power head current data and a preset target interval. Through layered sensing and dynamic coupling control, the application realizes self-adaptive closed-loop adjustment of the construction process, responds to geological uncertainty and helps to improve the uniformity of the finally formed pile body in physical performance.
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Description

Technical Field

[0001] This invention relates to the field of pile foundation construction technology, specifically to an intelligent data processing system for drilling rod construction of mixing piles. Background Technology

[0002] Mixing piles, a widely used piling technology for soft soil foundation treatment, directly affect the stability and safety of the project through their construction quality. The core process of traditional mixing pile construction involves drilling the drill rod to a predetermined depth, then simultaneously injecting cement slurry while rotating and mixing it at a uniform speed. By forcibly mixing the cement slurry with the in-situ soil, a pile with predetermined strength and integrity is formed underground.

[0003] In existing technical practices, construction parameters such as drill rod lifting speed, rotation speed, and cement slurry pumping rate are usually pre-set as a set of fixed values ​​based on preliminary geological survey reports and design requirements. Construction equipment or operators strictly adhere to this set of fixed parameters throughout the mixing and lifting process.

[0004] However, geological survey reports only provide soil layer information for a few borehole locations along the route; they cannot fully reveal the complexity and uncertainty of geological conditions between pile locations and at different depths within the same pile location. In actual construction, the drill bit frequently encounters localized changes in geological conditions during the lifting process, such as moving from a standard clay layer into a hard clay interlayer, a weak silt layer, or encountering obstacles like boulders. Using fixed construction parameters to address these changing geological conditions leads to a series of technical shortcomings.

[0005] Specifically, when the drill bit encounters a hard interlayer, the preset lifting speed may be too fast, causing a sharp increase in the torque of the power head and excessive mixing resistance. In this case, the soil is not sufficiently cut and mixed, which may form a weak section in the pile. Conversely, when the drill bit enters a soft soil layer or cavity, the fixed lifting speed may be too slow, and the fixed pumping rate will result in redundancy and waste of grout due to insufficient soil participation, leading to an imbalance in the grout-to-soil ratio of the pile section and insufficient local strength.

[0006] Furthermore, to address the aforementioned issues, some construction sites rely on manual intervention by experienced operators. These operators assess geological changes by observing ammeter readings and listening to equipment sounds, then manually adjust the equipment's operating parameters accordingly. This method not only significantly increases the workload for operators but, more importantly, is highly subjective and uncertain. Differences in experience among operators, and even the fatigue levels of the same operator at different times, can lead to fluctuations in quality control, making it difficult to guarantee the uniformity of pile quality and the standardization of the construction process. Therefore, current technology lacks a control mechanism that can automatically sense geological changes and objectively, quantitatively, and adaptively adjust them. Summary of the Invention

[0007] To address the shortcomings of existing technologies, this invention provides an intelligent data processing system for drilling rod construction of mixing piles. This system solves the problem that existing mixing pile construction methods use preset fixed parameters, which cannot adaptively adjust to real-time changes in geological conditions during construction, resulting in uneven physical properties of the final pile body along the depth direction.

[0008] To achieve the above objectives, the present invention provides the following technical solution:

[0009] The first aspect of this invention provides an intelligent data processing system for drilling rod construction in mixing piles, comprising:

[0010] The data acquisition module is used to collect construction data in real time, including at least the power head current data, drill pipe depth data, and grout pump start / stop status.

[0011] A macroscopic construction condition identification module, connected to the data acquisition module, is used to determine the current macroscopic construction condition in real time based on the construction data. The macroscopic construction condition includes at least the mixing and lifting mode.

[0012] The micro-geological state sensing module is connected to the data acquisition module and the macro-construction condition identification module, and is used to determine the current micro-geological state based on the power head current data when the macro-construction condition is the mixing and lifting mode.

[0013] The multi-mode dynamic coupling control module is connected to the macroscopic construction condition identification module and the microscopic geological condition sensing module, and is used to coordinately adjust the lifting speed of the drilling rig and the pumping rate of cement slurry according to the macroscopic construction condition and the microscopic geological condition.

[0014] In one optional implementation, the macroscopic construction condition identification module is specifically used to: acquire the drill rod depth data and the grout pump start / stop status; calculate the rate of change of the drill rod depth data; and determine the current macroscopic construction condition as one of the following: drilling mode, rod connection mode, or mixing and lifting mode, based on the combination of the rate of change of the drill rod depth data and the grout pump start / stop status.

[0015] In one optional implementation, the micro-geological state sensing module is specifically used to: compare the real-time collected power head current data with a preset target mixing torque range corresponding to a specific soil layer, and based on the comparison result, determine the micro-geological state as a steady-state range, an overload trend, or an underload trend.

[0016] In an optional implementation, the micro-geological state sensing module is further configured to determine whether the micro-geological state is an instantaneous impact by calculating the instantaneous rate of change of the power head current data and comparing it with a preset impact current rate of change threshold. The instantaneous rate of change of the power head current data... Calculated using the following formula:

[0017] ;

[0018] In the formula:

[0019] For the current moment The instantaneous rate of change of the power head current data;

[0020] For the current moment The power head current data;

[0021] For a moment The power head current data;

[0022] This is a preset time window width.

[0023] In one optional implementation, when the macroscopic construction condition is a mixing and lifting mode, the multi-mode dynamic coupling control module executes different control strategies based on the microscopic geological condition: when the microscopic geological condition shows an overload trend, the multi-mode dynamic coupling control module executes a deceleration and slurry increase control strategy, outputting an instruction to reduce the lifting speed and simultaneously outputting an instruction to increase the pumping rate; when the microscopic geological condition shows an underload trend, the multi-mode dynamic coupling control module executes a speed increase and slurry decrease control strategy, outputting an instruction to increase the lifting speed and simultaneously outputting an instruction to decrease the pumping rate.

[0024] In a further embodiment, the multi-mode dynamic coupling control module calculates the target lifting speed and the target pumping rate in the following manner: when the micro-geological state is in an overload trend:

[0025] ;

[0026] ;

[0027] When the microgeological state is in a state of loss of load:

[0028] ;

[0029] ;

[0030] In the formula:

[0031] The target acceleration rate is calculated for the current control cycle;

[0032] The target pumping rate is calculated for the current control cycle;

[0033] Increase the speed command value to the target of the previous control cycle;

[0034] The target pumping rate command value of the previous control cycle;

[0035] The preset speed reduction adjustment coefficient;

[0036] The preset pumping rate increment adjustment coefficient;

[0037] The preset speed increment adjustment coefficient;

[0038] This is the preset pumping rate reduction adjustment coefficient.

[0039] In one optional implementation, when the micro-geological condition is an instantaneous impact, the multi-mode dynamic coupling control module executes an impact avoidance control strategy, that is, switches the lifting speed to a preset safe speed and switches the pumping rate to a preset maximum pumping rate.

[0040] In one alternative implementation, the micro-geological state sensing module and the multi-mode dynamic coupling control module are configured to be activated only when the macro-construction condition determined by the macro-construction condition identification module is the mixing and lifting mode, and to be suspended under other macro-construction conditions.

[0041] A second aspect of this invention provides an intelligent data processing method for construction of mixing piles using a drill rod connection, comprising the following steps:

[0042] S1: Real-time acquisition of construction data including at least the power head current data, drill pipe depth data, and grout pump start / stop status;

[0043] S2: Determine the current macroscopic construction conditions in real time based on the construction data, wherein the macroscopic construction conditions include at least the mixing and lifting mode;

[0044] S3: When the macroscopic construction condition is the mixing and lifting mode, the current microscopic geological condition is determined based on the power head current data;

[0045] S4: Based on the macroscopic construction conditions and the microscopic geological conditions, coordinate the lifting speed of the drilling rig and the pumping rate of the cement slurry.

[0046] This invention provides an intelligent data processing system for drilling rod construction in mixing piles. It offers the following advantages:

[0047] 1. This invention, by setting up a macroscopic construction condition identification module, first divides the construction process into macroscopic stages, and activates the microscopic geological state perception function only in the core mixing and lifting mode, thereby realizing the conditional invocation of control logic, avoiding misjudging equipment operation data in non-mixing stages such as rod connection and drilling as geological feedback, and improving the stability of the system and the accuracy of control decisions under complex working conditions.

[0048] 2. This invention uses a multi-mode dynamic coupling control module to coordinate and dynamically adjust the two key parameters of lifting speed and pumping rate based on the real-time perceived micro-geological conditions. For example, it can implement composite control strategies such as deceleration to increase slurry or speed increase to decrease slurry. This changes the traditional method of adjusting a single parameter in isolation, enabling the system to maintain the mixing torque within the preset target range more proactively and effectively, which helps to achieve a more uniform mixing effect along the depth direction of the pile.

[0049] 3. By integrating two complementary logics—trend judgment based on current amplitude range and impact judgment based on current change rate—into the micro-geological state perception module, this invention can simultaneously and effectively identify both gradual changes and sudden events in geological conditions, and trigger different response strategies, thereby improving the system's comprehensive perception of geological uncertainties and the targeted nature of its response. Attached Figure Description

[0050] Figure 1 This is a system architecture diagram of the present invention;

[0051] Figure 2This is a flowchart of the method of the present invention. Detailed Implementation

[0052] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0053] Example:

[0054] Please see the appendix Figure 1 This invention provides an intelligent data processing system for drilling rod construction in mixing piles, comprising:

[0055] The data acquisition module is used to collect construction data in real time, including at least the power head current data, drill pipe depth data, and grout pump start / stop status.

[0056] In this embodiment, the data acquisition module is the sensing foundation of the entire intelligent data processing system for the construction of the mixing pile connecting rod drill rod. It is configured to acquire raw, multi-dimensional physical quantities from the construction equipment and convert them into structured digital signals that can be used by subsequent analysis and control modules.

[0057] Specifically, the data acquisition module physically or communicatively connects with multiple sensors installed on the mixing pile drilling rig and its auxiliary slurry preparation and conveying equipment to collect a series of raw data streams reflecting the construction status in real time at preset, synchronized time periods. These data streams provide the necessary data input for subsequent macroscopic construction condition identification and microscopic geological condition perception.

[0058] In a preferred implementation, the data acquisition module is configured to collect at least the following core types of construction data:

[0059] Power head current data This data is acquired by a current sensor installed in the drive motor circuit of the drill rig's power head. Since the output torque of the power head is directly proportional to the load current of the drive motor under specific operating conditions, this data stream is used as a key physical quantity to indirectly characterize the formation resistance experienced by the drill pipe during rotation and stirring. It is the core basis for the subsequent micro-geological condition sensing module to determine geological hardness and identify overload or underload conditions.

[0060] Drill pipe depth data This data is typically acquired by depth sensors installed on the drilling rig's winch system or gantry. This data stream precisely records the drill bit's vertical position over time. The drill rod depth data is used for real-time monitoring of pile length; furthermore, by performing time-difference calculations on it, the instantaneous lifting or lowering speed of the drill rod can be obtained. This speed information is a crucial input for the macroscopic construction condition identification module to determine the current construction stage.

[0061] Cement slurry flow data This data is acquired by a flow meter installed on the cement slurry delivery pipeline from the slurry preparation station to the drill pipe. It characterizes the volume of cement slurry pumped underground per unit time. This data is not only a direct basis for evaluating the amount of cement used per unit depth, but also one of the output variables that the multi-mode dynamic coupling control module needs to precisely adjust. Acquiring this data aims to provide the control system with real-time feedback on the pumping rate.

[0062] Slurry pump start / stop status and the rotating state of the power head These two data points are switch signals representing the operating status of the equipment, obtained from the electrical control circuits of the slurry pump and the power head, respectively. The slurry pump start / stop status clearly indicates whether cement slurry is being pumped, while the power head rotation status indicates whether the drill rod is rotating. The combination of these two status signals forms the basis for the rule-based state machine judgment performed by the macroscopic construction condition identification module. For example, the combination of slurry pump start-up and drill rod lifting confirms entry into the mixing and lifting mode.

[0063] Considering the electromagnetic interference and mechanical vibration present at the construction site, the raw data stream directly acquired by the sensors may contain high-frequency noise and occasional pulse interference. If these interferences are not processed, they will seriously affect the accuracy and stability of subsequent analysis and judgment. Therefore, the data acquisition module further includes a data preprocessing unit.

[0064] For the power head current data Drill pipe depth data cement slurry flow data For these types of continuous analog signals, the data preprocessing unit preferably uses a moving average filtering algorithm for smoothing to remove high-frequency noise and extract the main trend of data variation. Taking the power head current data as an example, the smoothed current data output after preprocessing... It is calculated using the following formula:

[0065] ;

[0066] In the formula:

[0067] For the current moment Smoothed output current data;

[0068] To be at a historical moment The raw current data collected;

[0069] The size of the sliding window is a preset positive integer, which defines the number of samples used for averaging.

[0070] The time period for sampling the system's raw data.

[0071] Adjust the window size This approach achieves a balance between the smoothness of the filter and the sensitivity of the signal response. The same processing method is also applicable to drill pipe depth data and cement slurry flow data to obtain smoothed depth data respectively. and smooth traffic data .

[0072] For the start-up and shutdown status of the slurry pump and the rotating state of the power head For these types of switching signals, due to the physical characteristics of mechanical switches or the jitter of relay contacts, the original signal may generate a series of rapid on / off pulses at the moment of state switching. Therefore, the data preprocessing unit employs a de-jitter algorithm. For example, within a very short time window, a valid state switch is only confirmed after the signal has stabilized in a certain state for a preset duration. This ensures that the subsequent macroscopic construction condition identification module will not make incorrect condition switching judgments due to signal jitter.

[0073] After the above acquisition and preprocessing steps, the data acquisition module finally outputs a set of high-quality, time-synchronized, clean data streams that can be directly used by the upper-level analysis modules, including smoothed power head current data. Smooth drill pipe depth data Smooth cement slurry flow data and a stable slurry pump start-stop status. and the rotating state of the power head This provides a solid data foundation for the accurate sensing and reliable control of the entire system.

[0074] The macro-construction condition identification module is connected to the data acquisition module and is used to determine the current macro-construction condition in real time based on construction data. The macro-construction condition includes at least the mixing and lifting mode.

[0075] In this embodiment, the macroscopic construction condition identification module, as the top-level state judgment unit of the system, plays the role of analyzing the overall rhythm of the construction process and accurately dividing the current macroscopic operation stage of the drilling rig. The input of this module is connected to the output of the data acquisition module to receive the pre-processed clean data stream, while its output is connected to the microscopic geological condition sensing module and the multi-mode dynamic coupling control module to transmit their judgment results.

[0076] The technical purpose of this module is that the complete construction cycle of a mixing pile includes several distinct stages, such as the initial drilling stage, the core mixing and lifting stage, and the intervening rod connection stage. The equipment operating characteristics and control objectives are completely different in these stages. If the same control logic is applied indiscriminately to all stages, erroneous control actions may occur in non-mixing stages due to misinterpretation of signal characteristics. Therefore, accurately identifying the macroscopic working conditions before implementing micro-geological adaptive control is a necessary prerequisite for ensuring the stable and reliable operation of the entire system.

[0077] Therefore, the core of this module is to build a deterministic state machine based on multi-source data fusion. It can determine the current working condition in real time and automatically by logically combining and pattern matching the time series features of a set of key construction parameters.

[0078] In a preferred embodiment, the macroscopic construction condition identification module receives and processes smoothed drill pipe depth data provided by the data acquisition module. Stable slurry pump start-up and shutdown status and a stable power head rotation state .

[0079] First, the module is based on the received smooth drill pipe depth data. The real-time vertical velocity of the drill pipe is calculated using time difference. This speed is a core parameter for determining the motion state of the drill pipe. Its calculation formula is as follows:

[0080] ;

[0081] In the formula:

[0082] For the current moment The vertical speed of the drill pipe, with positive values ​​indicating drilling down and negative values ​​indicating lifting;

[0083] For the current moment Smooth drill pipe depth data;

[0084] For a moment Smooth drill pipe depth data;

[0085] This is a preset time window width used for calculating speed.

[0086] Based on the calculated vertical speed of the drill pipe In addition to other received state signals, the deterministic state machine within the module determines the operating condition according to a set of preset rules:

[0087] When the module determines the vertical movement speed of the drill pipe Continuously exceeding a preset positive velocity threshold And at the same time, a stable slurry pump start-stop state was detected. When in the off state, this module displays the current macroscopic construction status. The drilling mode has been activated. This state corresponds to the process of the drill pipe drilling into the ground to reach the designed depth.

[0088] Accordingly, when the module determines the vertical movement speed of the drill pipe The absolute value is consistently greater than the speed threshold. Furthermore, the direction is negative, and the start / stop status of the slurry pump is detected simultaneously. When enabled, this module displays the current macroscopic construction conditions. The system is now set to the mixing and lifting mode. This state represents the key stage in the operation of the core control function of this invention, namely, the process of simultaneously spraying slurry and mixing and lifting.

[0089] Most importantly, for the identification of the critical non-production stage of drill pipe connection, the module employs a composite feature judgment logic. When the module detects the vertical movement speed of the drill pipe... The absolute value is less than the speed threshold. When the drill pipe is essentially stationary and the grout pump is off, it will further monitor the stable rotation of the power head within a preset time window. The change sequence. If a clear stop-start sequence is observed within this window, the module will display the current macroscopic construction status. The drill pipe connection mode has been determined. This decision logic accurately captures the operational characteristics of manual or semi-automatic drill pipe connection.

[0090] If none of the above specific operating modes match, such as when equipment is paused, the module will adjust the macroscopic construction status. Set to standby mode.

[0091] Output signal of macroscopic construction condition identification module This signal is transmitted to downstream modules of the system as a key control signal to activate or suspend specific functional units. Specifically, it only activates when... When the mixing and lifting mode is selected, the micro-geological state sensing module and the multi-mode dynamic coupling control module are activated, thus initiating adaptive control based on geological feedback. In all other operating modes, these two core control modules are suspended, performing only basic functions such as data recording. This avoids misinterpreting equipment operating data from non-mixing phases as geological information, ensuring the correct timing of the control strategy's application.

[0092] The micro-geological state sensing module is connected to the data acquisition module and the macro-construction condition identification module. It is used to determine the current micro-geological state based on the power head current data when the macro-construction condition is the mixing and lifting mode.

[0093] In this embodiment, the micro-geological condition sensing module is the core sensing unit for realizing the system's adaptive control function. Upstream of this module is connected to the outputs of the macro-construction condition identification module and the data acquisition module, while downstream it is connected to the input of the multi-mode dynamic coupling control module.

[0094] A key feature of this module is its conditional operation. It does not run continuously throughout the entire construction cycle, but is configured to activate only when it receives a specific signal from the macroscopic construction condition identification module indicating that the current condition is mixing and lifting mode. In all other non-mixing and lifting conditions, the module remains suspended or inactive. The technical purpose of this conditional activation mechanism is to focus complex signal analysis and status judgments on the core construction stages that truly require quality control, thereby avoiding the invalidation of irrelevant data from stages such as drilling and rod connection, ensuring targeted status awareness and efficient use of computational resources.

[0095] Once activated, this module's core task is to receive smoothed power head current data provided by the data acquisition module. Furthermore, this time-series data is analyzed in depth to translate, in real-time and with high precision, the invisible and subtle local geological conditions encountered by the drill bit during the stirring and lifting process into a set of discrete micro-geological states that can be understood by the control system. .

[0096] In a preferred embodiment, the micro-geological state sensing module integrates two complementary judgment logics, which are used to sense the gradual trend and abrupt events of formation resistance, respectively.

[0097] The first judgment logic is based on the comparison of current amplitude intervals to identify the relative softness and hardness trends of the formation. To this end, the system presets a target stirring torque range during the initialization phase, which is determined by its corresponding upper and lower current limits. This range represents the power consumption range that the power head should maintain to achieve ideal soil cutting and slurry mixing effects in a specific soil layer j. The micro-geological condition sensing module will transmit smoothed current data in real time. Perform continuous comparisons with this target interval:

[0098] If detected consistently above the upper limit of the target range If the module determines that the drill bit has encountered a relatively hard stratum or dense interlayer, then it will analyze the micro-geological conditions. It has been determined to be an overload trend.

[0099] Conversely, if detected Continuously below the lower limit of the target range If the module determines that the drill bit has entered a soft soil layer, silt, or an area that has already been stirred, then it will analyze the micro-geological conditions. It has been determined to be a trend of load depletion.

[0100] like In the target range If internal fluctuations occur, the module determines that the current construction is in an ideal equilibrium state, at which point the microscopic geological state will be considered. This is determined to be the steady-state interval.

[0101] The second judgment logic is based on a threshold judgment of the rate of change of current, specifically used to detect sudden geological anomalies such as isolated boulders, large boulders, or extremely hard thin interlayers in the strata. These anomalies are characterized by a dramatic jump in current within a very short time, while their absolute value may not exceed the target range for an extended period. Simply comparing amplitudes is insufficient to effectively identify such events.

[0102] Therefore, the micro-geological state sensing module processes the smoothed current data in real time. Perform time-difference operations to obtain its instantaneous rate of change. The calculation formula is as follows:

[0103] ;

[0104] In the formula:

[0105] For the current moment The instantaneous rate of change of the calculated power head current data;

[0106] For the current moment Smoothed current data;

[0107] For a moment Smoothed current data;

[0108] This is a preset time window width used to calculate the rate of change.

[0109] The module will calculate the instantaneous rate of change With a preset threshold for the rate of change of impact current Comparison. When When the value exceeds this threshold, regardless of the absolute value of the current, the module prioritizes the current microgeological state. It was determined to be a momentary impact.

[0110] Through the parallel operation of the aforementioned dual-judgment logic, the micro-geological state perception module can comprehensively classify geological conditions. It ultimately outputs a discrete state signal. The signal is directly transmitted to the multi-mode dynamic coupling control module as the direct basis for its selection of specific control strategies, thus realizing a key step from the original physical quantity to the high-level state cognition, and providing clear and unambiguous input for subsequent intelligent decision-making.

[0111] The multi-mode dynamic coupling control module is connected to the macroscopic construction condition identification module and the microscopic geological condition sensing module. It is used to coordinately adjust the drilling rig's lifting speed and the cement slurry pumping rate according to the macroscopic construction condition and the microscopic geological condition.

[0112] In this embodiment, the multi-mode dynamic coupling control module constitutes the decision-making and execution core of the intelligent control system of the present invention. This module is configured to receive macroscopic working condition signals from the upstream macroscopic construction working condition identification module. and micro-geological state signals from the micro-geological state sensing module. Based on these two input signals, the module makes a comprehensive judgment and ultimately generates and outputs instructions for directly controlling the actuators of the construction equipment, specifically the target lifting speed. and target pumping rate .

[0113] The core of the module's technical design lies in its two aspects: multi-mode and dynamic coupling.

[0114] The multi-mode characteristic is reflected in the fact that the overall behavioral logic of this module is based on the macro-level construction conditions. The switching is performed. In a preferred embodiment, the module is configured to: when receiving... When the signal is not in the stirring and lifting mode, such as in the drilling or rod-attaching mode, the module will automatically suspend its complex internal dynamic coupling control law. In such non-core operating conditions, the module can be configured to output a set of preset, fixed parameter commands, or switch to a purely passive state, without outputting any active control commands. This design ensures that the core adaptive control algorithm of this invention only operates within its preset application scenario, namely the stirring and lifting stage, thereby guaranteeing the overall robustness of the system.

[0115] The dynamic coupling characteristic is then applied to the macroscopic operating conditions of this module. This is fully realized upon activation. At this point, the module's function transforms into a real-time response to status signals transmitted from the micro-geological state sensing module. It executes a set of nonlinear, rule-based control laws. The essential characteristic of this set of control laws is that it does not adjust the lifting speed or pumping rate in isolation, but rather, according to different geological conditions, it coordinates, dynamically adjusts, and even inversely couples these two key parameters.

[0116] Specifically, when in stirring and lifting mode, this module receives different... The signal will trigger the following control strategy:

[0117] When received For the steady-state interval ( When the current stirring torque is within the ideal target range, the module executes the benchmark maintenance strategy, which outputs a preset benchmark lifting speed corresponding to the current soil layer. and reference pumping rate In order to maintain a stable construction status.

[0118] When received Overload trend ( When the drill bit encounters a relatively hard formation, the module immediately executes a coordinated control strategy of deceleration and slurry increase. The purpose of this strategy is twofold: firstly, to reduce the cutting resistance between the drill pipe blades and the hard soil by decreasing the lifting speed, thereby allowing the power head current to return to the target range; secondly, to moderately increase the pumping rate, using the increased slurry to assist in lubricating and softening the soil in front of the drill bit, further helping to overcome resistance. Its target lifting speed... and target pumping rate Iterative calculation using the following formula:

[0119] ;

[0120] ;

[0121] Conversely, when received For the trend of unload ( When the drill bit enters a weak soil layer or cavity, the module executes a coordinated control strategy of increasing speed and decreasing grout volume. This strategy aims to, on the one hand, ensure that the mixing blades can cut and incorporate sufficient soil volume by increasing the lifting speed to guarantee thorough soil-grout mixing; on the other hand, it correspondingly reduces the pumping rate to match the smaller soil volume, avoiding grout waste and insufficient local strength of the pile due to over-pumping. Its target lifting speed... and target pumping rate Iterative calculation using the following formula:

[0122] ;

[0123] ;

[0124] In the above iterative formula, the symbols are defined as follows:

[0125] The target acceleration rate is calculated and output for the current control cycle;

[0126] The target pumping rate is calculated and output for the current control cycle;

[0127] The target acceleration command value of the previous control cycle;

[0128] The target pumping rate command value of the previous control cycle;

[0129] The preset speed reduction adjustment coefficient is a dimensionless positive number.

[0130] This is a preset pumping rate increment adjustment coefficient, which is a dimensionless positive number;

[0131] The preset speed increment adjustment coefficient is a dimensionless positive number.

[0132] This is the preset pumping rate reduction adjustment coefficient, which is a dimensionless positive number.

[0133] Furthermore, when the module receives a highest priority... Upon receiving a signal, i.e., a momentary impact, it will immediately interrupt the aforementioned iterative adjustment process and instead execute the impact avoidance emergency procedure. In this procedure, the module no longer performs iterative calculations but directly outputs a preset safety boost rate. and a preset maximum pumping rate This measure aims to protect the drilling rig and tools from excessive impact loads by reducing speed as soon as possible, while attempting to soften, bypass, or break obstacles by rapidly pumping slurry.

[0134] Ultimately, the target acceleration rate calculated by this module and target pumping rate The signal is converted into a corresponding electronic control signal, for example, into an analog or digital signal used to control the output frequency of the frequency converter, and sent to the frequency converter that drives the hoisting motor and the slurry pump motor, thereby completing the execution of the entire closed-loop control circuit.

[0135] Please see the appendix Figure 2 A method for intelligent processing of drilling data in mixing pile connection type drill rod construction includes the following steps:

[0136] S1: Real-time acquisition of construction data including at least the power head current data, drill pipe depth data, and grout pump start / stop status;

[0137] S2: Determine the current macro-construction conditions in real time based on construction data. The macro-construction conditions include at least the mixing and lifting mode.

[0138] S3: When the macroscopic construction condition is the mixing and lifting mode, the current microscopic geological condition is determined based on the power head current data;

[0139] S4: Adjust the drilling rig's lifting speed and the cement slurry pumping rate in a coordinated manner based on the macroscopic construction conditions and microscopic geological conditions.

[0140] Although embodiments of the 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 to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A smart data processing system for drilling rod construction in a mixing pile connection system, characterized in that, include: The data acquisition module is used to collect construction data in real time, including at least the power head current data, drill pipe depth data, and grout pump start / stop status. A macroscopic construction condition identification module, connected to the data acquisition module, is used to determine the current macroscopic construction condition in real time based on the construction data. The macroscopic construction condition includes at least the mixing and lifting mode. The micro-geological state sensing module is connected to the data acquisition module and the macro-construction condition identification module, and is used to determine the current micro-geological state based on the power head current data when the macro-construction condition is the mixing and lifting mode. A multi-mode dynamic coupling control module is connected to the macroscopic construction condition identification module and the microscopic geological condition sensing module, and is used to coordinately adjust the lifting speed of the drilling rig and the pumping rate of cement slurry according to the macroscopic construction condition and the microscopic geological condition. The real-time collected power head current data is compared with a preset target mixing torque range corresponding to a specific soil layer to determine whether the micro-geological state is a steady state range, an overload trend, or an underload trend. When the micro-geological condition is in an overload trend, a deceleration and slurry-increasing control strategy is implemented, that is, the lifting speed is reduced while the pumping rate is increased. When the micro-geological state is in a state of unloaded trend, a control strategy of increasing speed and decreasing slurry is implemented, that is, increasing the lifting speed while reducing the pumping rate. The macroscopic construction condition identification module is specifically used for: Based on the rate of change of the drill rod depth data and the start / stop status of the grout pump, the macroscopic construction condition is determined to be either drilling mode, rod connection mode, or mixing and lifting mode. The micro-geological state sensing module is further configured to: calculate the instantaneous rate of change of the power head current data and compare it with a preset threshold for the rate of change of the impact current to determine whether the micro-geological state is an instantaneous impact; the instantaneous rate of change of the power head current data Calculated using the following formula: ; In the formula: For the current moment The instantaneous rate of change of the power head current data; For the current moment The power head current data; For a moment The power head current data; The width of a preset time window; The multi-mode dynamic coupling control module is used to calculate the target lifting speed and the target pumping rate in the following ways: When the micro-geological condition exhibits an overload trend: ; ; When the microgeological state is in a state of loss of load: ; ; In the formula: The target speed for the current control cycle calculation; The target pumping rate is calculated for the current control cycle; Increase the speed command value to the target of the previous control cycle; The target pumping rate command value of the previous control cycle; The preset speed reduction adjustment coefficient; The preset pumping rate increment adjustment coefficient; The preset speed increment adjustment coefficient; This is the preset pumping rate reduction adjustment coefficient.

2. The system according to claim 1, characterized in that, The multi-mode dynamic coupling control module is specifically used for: When the micro-geological condition is an instantaneous impact, an impact avoidance control strategy is implemented, that is, the lifting speed is switched to a preset safe speed, and the pumping rate is switched to a preset maximum pumping rate.

3. The system according to claim 1, characterized in that, The micro-geological state sensing module and the multi-mode dynamic coupling control module are activated only when the macro-construction condition determined by the macro-construction condition identification module is the mixing and lifting mode, and are suspended under other macro-construction conditions.

4. A method for intelligent processing of construction data for a mixing pile connecting rod drill rod, and a system for intelligent processing of construction data for a mixing pile connecting rod drill rod according to any one of claims 1-3, characterized in that, Includes the following steps: S1: Real-time acquisition of construction data including at least the power head current data, drill pipe depth data, and grout pump start / stop status; S2: Determine the current macroscopic construction conditions in real time based on the construction data, wherein the macroscopic construction conditions include at least the mixing and lifting mode; S3: When the macroscopic construction condition is the mixing and lifting mode, the current microscopic geological condition is determined based on the power head current data; S4: Based on the macroscopic construction conditions and the microscopic geological conditions, coordinate the lifting speed of the drilling rig and the pumping rate of the cement slurry.

Citation Information

Patent Citations

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