Intelligent grouting control system for high-pressure jet grouting pile

Abstract

The invention relates to the technical field of grouting systems, and discloses an intelligent grouting control system for a high-pressure jet grouting pile, which is characterized in that a closed-loop control system integrating real-time data acquisition, intelligent parameter regulation and control, accurate process execution and quality evaluation feedback is constructed; the construction links which originally depend on manual experience and are scattered and independent are integrated into a highly-collaborative intelligent whole. The construction state and the stratum condition can be sensed in real time, automatic decision making is carried out, the optimal process parameters are executed, the pile forming effect is evaluated in real time, feedback optimization is carried out, and therefore passivity and uncertainty of a traditional construction mode are changed fundamentally. And finally, the effect of improving the extensive and empirical manual operation of the jet grouting pile construction into a fine and intelligent modernized technological process is achieved, the uniformity, stability and reliability of the single pile construction quality are effectively ensured, and the pile forming quality level and the construction efficiency of the whole project group are continuously improved through learning iteration of historical data.

Description

Technical Field

[0001] This invention relates to the field of grouting system technology, and more particularly to an intelligent grouting control system for high-pressure jet grouting piles. Background Technology

[0002] In traditional high-pressure jet grouting pile construction, key process parameters such as grouting pressure, grouting flow rate, and drill rod lifting speed mainly rely on manual settings and experience-based control by operators. Before construction, technicians pre-set a set of fixed parameters based on geological survey reports and past experience. During drilling and grouting lifting, operators manually adjust the high-pressure pump setting, valve opening, or drill lifting rate to cope with changes in actual working conditions by observing instrument readings and site conditions. The overall construction quality largely depends on the operator's skill level and focus; the lack of continuous and accurate recording of parameter changes prevents standardized and digital management of the construction process. Parameter adjustments often lag behind changes in the geological formation, representing a passive, reactive control mode.

[0003] The aforementioned and existing related technologies often suffer from the following drawbacks: Due to the inability to automatically adjust construction parameters in real-time and with precision, manual adjustments are delayed and subjective when encountering changes in stratum lithology. This leads to mismatches between grouting pressure and flow rate and stratum conditions, easily causing quality problems such as uneven pile diameter, discontinuous grout distribution, or substandard pile strength. Furthermore, the lack of an effective closed-loop quality control mechanism results in a disconnect between the setting of construction parameters and the final pile quality assessment. It is difficult to scientifically and automatically optimize and iterate subsequent construction parameters based on the quality feedback results of individual piles or batches of piles, affecting overall construction efficiency and the stability and reliability of pile quality. Summary of the Invention

[0004] The technical problem to be solved by this invention is that the existing technology has the disadvantages of manual parameter adjustment being subjective and lacking quality feedback, which affects the homogeneity and stability of the pile body. To address this, we propose an intelligent grouting control system for high-pressure jet grouting piles.

[0005] To achieve the above objectives, this application adopts the following technical solution: a high-pressure jet grouting pile intelligent grouting control system, comprising: The grouting data acquisition module is used to collect raw data on grouting pressure, grouting flow rate, drill rod lifting speed and formation lithology parameters in real time during the grouting process, and to clean and standardize the collected real-time raw data and store it in a temporary database. The intelligent parameter control module is used to automatically adapt and dynamically adjust the grouting pressure, grouting flow rate and lifting speed based on the real-time raw data and in combination with the preset construction process parameter library, and generate process parameter instructions. The grouting process execution module is used to receive the process parameter instructions, control the drilling rig, high-pressure pump and grouting device to perform rotary jetting and lifting operations according to the set pressure, flow rate and lifting speed, and realize the continuous and stable execution of the grouting process; The pile quality assessment module is used to perform preliminary analysis and assessment of the uniformity, diameter, and strength indicators of piles based on real-time raw data and historical construction records during the grouting process, and output the quality assessment results.

[0006] Furthermore, the intelligent parameter control module includes: The stratum identification unit is used to match and identify the stratum type and characteristics of the current construction section based on the lithological parameters uploaded in real time by the grouting data acquisition module and the preset stratum database. The parameter matching unit is used to call up the combination of construction parameters that are suitable for the formation from the preset process parameter library based on the output of the formation identification unit, and to set the adjustable threshold of the parameters. The dynamic adjustment unit is used to continuously monitor the deviation between the actual construction parameters and the target values ​​during the grouting process. When fluctuations in grouting pressure, abnormal flow, or deviations in lifting speed from the set range are detected, the pumping pressure, valve opening, or drilling rig lifting rate are automatically fine-tuned according to the preset control algorithm to maintain the stability of construction parameters and ensure the consistency of pile quality. The parameter library update unit is used to record and learn from parameter combinations that have achieved excellent results in actual construction, based on the feedback results of the pile quality assessment module, and to continuously optimize and expand the preset process parameter library.

[0007] Furthermore, based on the lithological parameters of the grouting data acquisition module uploaded in real time, and in conjunction with a preset stratum database, the stratum type and characteristics of the current construction section are determined through matching and identification. Specifically, the following operations are performed: The system receives the stratigraphic lithology parameter sequence uploaded by the grouting data acquisition module in real time, preprocesses the parameter sequence, accesses the preset stratigraphic database, executes the matching and recognition algorithm, determines the optimal matching stratigraphic layer by calculating the multidimensional similarity between the current parameter vector and the feature vectors of various stratigraphic types in the database, sorts the stratigraphic types according to the similarity scores, selects the stratigraphic type with the highest score as the recognition result, and outputs a characteristic summary of the stratigraphic layer.

[0008] Furthermore, based on the output of the formation identification unit, a combination of construction parameters suitable for the formation is retrieved from a preset process parameter library, and adjustable thresholds for the parameters are set. Specifically, the following operations are performed: Receive stratigraphic type identifier and its similarity score output by the stratigraphic identification unit Access the preset process parameter library, which is indexed by formation type and stores the benchmark grouting pressure corresponding to each type of formation. Grouting flow range Speed ​​increase range and historical construction optimization coefficients; based on The magnitude is used to adjust the confidence weight of the parameter. If the values ​​are below the set threshold, interpolation compensation is performed based on the parameters of the adjacent strata. After extracting the baseline parameters, an adjustable threshold range is set for each parameter based on the calculation results, taking into account the current construction stage and equipment status, to ensure that the construction process is dynamically optimized within the allowable range.

[0009] Furthermore, it is used to continuously monitor the deviation between actual construction parameters and target values ​​during the grouting process. When fluctuations in grouting pressure, abnormal flow rates, or deviations in lifting speed from the set range are detected, the pumping pressure, valve opening, or drilling rig lifting rate are automatically fine-tuned according to a preset control algorithm. Specifically, the following operations are performed: Real-time acquisition of actual grouting pressure values Actual value of grouting flow rate and actual value of speed increase and the set target value output by the parameter matching unit. , , Compare and calculate the relative deviation of each parameter; based on the deviation and its trend, according to Automatic value generation instruction: when When the threshold is exceeded, the high-pressure pump output pressure is adjusted according to priority to compensate for the pressure deviation, the valve opening is adjusted to correct the flow rate, and the drilling rig hydraulic system is controlled to fine-tune the lifting rate to ensure that the construction parameters are stable within the set range.

[0010] Furthermore, the grouting process execution module includes: The drilling rig control unit is used to precisely control the rotation speed, sinking depth, and lifting speed of the drill rod, and to start the jet grouting operation after reaching the designed depth, maintaining a constant speed during the lifting process; The high-pressure grouting unit is used to receive instructions from the intelligent parameter control module, adjust the output pressure and flow of the high-pressure pump, and control the grout ratio and supply continuity. The process coordination unit is used to coordinate the timing between drilling rig actions and grouting operations, so as to realize the synchronous operation of drill rod rotation, lifting and grout injection, and to monitor the equipment status in real time during construction, and to diagnose and handle drill rod jamming and abnormal pump pressure faults. The construction record unit is used to record detailed construction parameters and data for each pile throughout the entire process.

[0011] Furthermore, to coordinate the timing of drilling rig movements and grouting operations, and to achieve synchronous rotation and lifting of the drill rod and injection of grout, the following specific operations are performed: It receives real-time signals from the drilling rig control unit regarding the current rotation speed and lifting displacement of the drill rod, as well as grout injection status signals from the high-pressure grouting unit; it establishes a time-based synchronous control sequence, when... When the pressure drops below the set threshold, the drilling rig's hydraulic system automatically adjusts the propulsion commands and the start-stop sequence of the high-pressure pump, and performs millisecond-level delay compensation for the rotary motor and grouting valve. Grout injection is initiated in advance during the drill rod lifting start-up stage and the grouting is delayed during the lifting end stage.

[0012] Furthermore, the pile quality assessment module includes: The data preprocessing unit is used to organize and filter the raw construction data recorded by the grouting process execution module, remove outliers, and extract key feature parameters. The feature analysis unit is used to calculate the key quality indicators of pile formation based on the preprocessed data, and to preliminarily determine the pile quality level by comparing it with design values ​​or historical qualified pile data. The evaluation model unit is used to integrate expert experience and machine learning algorithms to build a quality evaluation model, taking the indicators output by the feature analysis unit as input, to comprehensively evaluate the pile formation quality of a single jet grouting pile, and output a quantitative score or a judgment result of whether it is qualified or not. The feedback optimization unit is used to feed the evaluation results back to the intelligent parameter control module to verify the effectiveness of the construction parameter adjustment, and to optimize the system based on the common quality problems reflected in the evaluation results.

[0013] Furthermore, based on the preprocessed data, key quality indicators for pile formation are calculated, and the pile quality grade is preliminarily determined by comparing them with design values ​​or historical qualified pile data. Specifically, the following operations are performed: The system receives standardized construction datasets from the data preprocessing unit and extracts grouting pressure time-series data, lifting speed sequence, and total grouting volume information for each pile. It calculates the pile uniformity coefficient, obtained by analyzing the grouting volume fluctuation within a unit lifting distance at different depths; if the fluctuation range is less than a set threshold, the uniformity is considered good. It calculates the theoretical pile diameter conformity, calculating the theoretical pile diameter based on the grout injection pressure and stratum characteristics during construction, and comparing it with the actual designed pile diameter to obtain the conformity percentage. It evaluates the stability of the grouting volume per unit length, statistically analyzing the coefficient of variation of the grouting volume per meter along the pile direction to determine the dispersion of the grout distribution. The calculated results of the above key quality indicators are compared item by item with preset design specification values ​​or the indicator ranges of historical qualified pile samples stored in the database. If all indicators are within the qualified range, the pile quality is initially determined to be excellent; if individual indicators exceed the allowable deviation, they are marked as pending verification or unqualified according to the degree of exceedance, and a preliminary quality analysis report containing the specific values ​​and grade determinations of each indicator is output.

[0014] Furthermore, the evaluation results are fed back to the intelligent parameter control module to verify the effectiveness of the construction parameter adjustments, and based on the common quality problems reflected in the evaluation results, the following specific operations are performed: The system receives the pile quality assessment report output by the feature analysis unit, compares the assessment results with the actual process parameters used by the intelligent parameter control module during the construction of this pile, and verifies the actual effect of specific parameter combinations under geological conditions. If the assessment results indicate that there is an insufficient pile diameter, it analyzes whether this is caused by low grouting pressure or excessive lifting speed, and generates adjustment suggestions, specifically including appropriately increasing the benchmark grouting pressure or reducing the drill rod lifting speed in similar geological formations. If the assessment results indicate uneven grout distribution, it determines whether this is caused by flow fluctuations or mismatched rotation speeds, and suggests optimizing the grouting flow stability control strategy or adjusting the synergy between drill rod rotation and lifting. All verification conclusions and parameter optimization suggestions are structured and stored in a preset process parameter library, and the corresponding geological type and construction conditions are marked.

[0015] The technical effects and advantages of this invention are as follows: This invention constructs a closed-loop control system integrating real-time data acquisition, intelligent parameter control, precise process execution, and quality assessment feedback. This system integrates previously fragmented and independent construction processes that relied on manual experience into a highly collaborative intelligent whole. It can perceive the construction status and geological conditions in real time, automatically decide and execute optimal process parameters, and provide immediate evaluation and feedback optimization of pile formation results. This fundamentally changes the passivity and uncertainty of traditional construction methods. Ultimately, it elevates jet grouting pile construction from extensive and experience-based manual operations to a refined and intelligent modern process, effectively ensuring the uniformity, stability, and reliability of single-pile construction quality. Through learning and iterative analysis of historical data, it continuously improves the pile formation quality and construction efficiency of the entire project group. Attached Figure Description

[0016] The disclosure of this invention is illustrated with reference to the accompanying drawings. It should be understood that the drawings are for illustrative purposes only and are not intended to limit the scope of protection of this invention. In the drawings, the same reference numerals are used to refer to the same parts: Figure 1 This is a block diagram of the present invention. Detailed Implementation

[0017] It is readily understood that, based on the technical solution of this invention, those skilled in the art can propose various interchangeable structural methods and implementations without altering the essential spirit of the invention. Therefore, the following detailed embodiments and accompanying drawings are merely illustrative examples of the technical solution of this invention and should not be considered as the entirety of the invention or as limitations or restrictions on the technical solution of this invention.

[0018] Reference Figure 1 As shown, the present invention provides a technical solution: an intelligent grouting control system for high-pressure jet grouting piles, comprising: The grouting data acquisition module is used to collect raw data on grouting pressure, grouting flow rate, drill rod lifting speed and formation lithology parameters in real time during the grouting process, and to clean and standardize the collected real-time raw data and store it in a temporary database. It should be added that: formation lithology parameters refer to the set of data reflecting the physical and mechanical properties of underground soil, which are measured in real time by a group of sensors installed on the drill bit or drill rod. These parameters mainly include soil density, shear strength, permeability coefficient, particle size distribution index, etc. These parameters together characterize the bearing capacity, groutability and stability of the formation at the current construction depth, providing the most direct geological basis for intelligent parameter control.

[0019] It should be added that: a temporary database is an intermediate data storage area located in system memory or cache, which is specifically used to temporarily store data streams that have undergone preliminary cleaning and standardization but have not yet been subjected to in-depth analysis. Its design purpose is to achieve high-speed data reading and writing, meet the high throughput requirements of real-time processing, and provide data input with uniform format and controllable quality for subsequent analysis modules. It is a key buffer link connecting data acquisition and intelligent analysis.

[0020] The intelligent parameter control module is used to automatically adapt and dynamically adjust the grouting pressure, grouting flow rate and lifting speed based on the real-time raw data and in combination with the preset construction process parameter library, and generate process parameter instructions. It should be added that the construction process parameter library is a structured expert knowledge base and historical experience database. It uses stratum type as the key index and stores the combination of construction parameters optimized for different stratum lithological characteristics, including but not limited to the benchmark grouting pressure, grouting flow range, lifting speed range, and verified adjustable thresholds for parameters. This parameter library can continuously absorb new successful construction case data through machine learning mechanisms to achieve self-update and optimization.

[0021] The grouting process execution module is used to receive the process parameter instructions, control the drilling rig, high-pressure pump and grouting device to perform rotary jetting and lifting operations according to the set pressure, flow rate and lifting speed, and realize the continuous and stable execution of the grouting process; The pile quality assessment module is used to perform preliminary analysis and assessment of the uniformity, diameter, and strength indicators of piles based on real-time raw data and historical construction records during the grouting process, and output the quality assessment results.

[0022] In this embodiment, the intelligent parameter control module specifically includes: The stratum identification unit is used to match and identify the stratum lithology parameters uploaded in real time by the grouting data acquisition module with the preset stratum database, determine the stratum type and characteristics of the current construction section, and provide a geological basis for parameter adjustment. The parameter matching unit is used to call up a combination of construction parameters suitable for the formation from the preset process parameter library based on the output of the formation identification unit. These parameters include the reference grouting pressure, grouting flow range, and lifting speed range. The unit also sets adjustable threshold values ​​for the parameters. The dynamic adjustment unit is used to continuously monitor the deviation between the actual construction parameters and the target values ​​during the grouting process. When fluctuations in grouting pressure, abnormal flow, or deviations in lifting speed from the set range are detected, the pumping pressure, valve opening, or drilling rig lifting rate are automatically fine-tuned according to the preset control algorithm to maintain the stability of construction parameters and ensure the consistency of pile quality. The parameter library update unit is used to record and learn from the parameter combinations that have achieved good results in actual construction based on the feedback results of the pile quality assessment module, continuously optimize and expand the preset process parameter library, and improve the system's self-adaptability.

[0023] Specifically, through the coordinated operation of four units—stratum identification, parameter matching, dynamic adjustment, and parameter database updating—the system acquires judgment and decision-making capabilities similar to those of an expert. It can not only automatically select initial construction parameters based on stratum changes, but also monitor parameter execution in real time during construction and quickly and accurately compensate for deviations, overcoming quality risks caused by uneven strata or equipment fluctuations. Simultaneously, by continuously learning parameter combinations from high-quality projects and updating the knowledge base, the system's decision-making capabilities evolve with the construction progress. Ultimately, it achieves dynamic optimal matching between construction parameters and complex geological conditions, significantly improving the stability of the grouting process and its adaptability to geological conditions, providing a core guarantee for forming high-quality, homogeneous piles.

[0024] In this embodiment, the formation type and characteristics of the current construction section are determined by matching and identifying the formation lithology parameters uploaded in real time by the grouting data acquisition module with a preset formation database. The specific operations are as follows: The system receives real-time lithological parameter sequences from the grouting data acquisition module, including soil density, shear strength, permeability coefficient, and particle size distribution. The parameter sequences are preprocessed, including outlier removal and normalization, to ensure data consistency. A pre-defined stratigraphic database is accessed, storing lithological parameter feature libraries for standard stratigraphic types from historical projects, including the mean vector, covariance matrix, and characteristic descriptions of each stratigraphic type. A matching and identification algorithm is executed, calculating the multidimensional similarity between the current parameter vector and the feature vectors of each stratigraphic type in the database to determine the optimal matching stratigraphic layer. The similarity calculation is obtained using the following formula: ; in, Indicates the current parameter and the first Similarity score of land stratigraphic types For the current number Measured values ​​of lithological parameters and The respective databases of the first Seed stratum The mean and standard deviation of the parameters, For the first The weight coefficients of the parameters are dynamically allocated based on the importance of the parameters. An adjustment factor is used to balance the effects of distance and covariance. This represents the determinant of the covariance matrix between the current parameter vector and the database stratum parameter vector, used to reflect the correlation between parameters; based on the similarity scores, the stratum type with the highest score is selected as the identification result, and a characteristic summary of the stratum is output, including soil stability and the recommended range of construction parameters.

[0025] Specifically, by introducing a multi-dimensional parameter similarity matching algorithm, a comprehensive analysis and intelligent identification of various lithological parameters collected in real time is performed, overcoming the limitations of traditional stratigraphic judgment based solely on a single indicator or a rough geological survey report. This enables more accurate and reliable determination of the stratigraphic type and characteristics at the current construction site, thereby achieving precise identification of complex underground stratigraphic conditions. This lays a solid and reliable data foundation for the subsequent intelligent and accurate setting and adjustment of construction parameters, avoiding inaccurate parameter settings caused by stratigraphic misjudgment.

[0026] In this embodiment, based on the output of the formation identification unit, a combination of construction parameters suitable for the formation is retrieved from a preset process parameter library, including the reference grouting pressure, grouting flow range, and lifting speed range, and adjustable threshold values ​​are set. Specifically, the following operations are performed: Receive stratigraphic type identifier and its similarity score output by the stratigraphic identification unit Access the preset process parameter library, which is indexed by formation type and stores the benchmark grouting pressure corresponding to each type of formation. Grouting flow range Speed ​​increase range and historical construction optimization coefficients; based on The magnitude is used to adjust the confidence weight of the parameter. If the values ​​are below the set threshold, interpolation compensation is performed using parameters from adjacent formations. After extracting the baseline parameters, and considering the current construction stage and equipment status, the recommended values ​​and adjustable thresholds for the actual construction parameters are calculated using the following parameter adaptation formula: ; in, To set the grouting pressure, Set a range for the grouting flow rate. To improve the speed benchmark value; As a formation stability adjustment factor, This is the equipment condition compensation coefficient. This represents the real-time pumping capacity deviation. The flow boundary relaxation coefficient is derived from regression of historical construction data. These are the weighting coefficients for each lithological parameter during the stratigraphic identification stage. This represents the standard deviation of the corresponding stratigraphic parameters in the database. To prevent the elimination of zero constants, adjustable threshold ranges are set for each parameter based on the above calculation results to ensure that the construction process is dynamically optimized within the allowable range.

[0027] Specifically, by introducing confidence-weighted and interpolation compensation mechanisms, the parameter matching process is no longer a mechanical table lookup. Instead, it dynamically optimizes the process by comprehensively considering the reliability of the formation identification results and the current equipment status. The output is not a fixed value, but a flexible parameter range and threshold, reserving reasonable operational space for subsequent dynamic adjustments. This achieves an upgrade from static parameter application to dynamic parameter preset, ensuring that the parameter combinations used not only meet the requirements of formation theory but also closely match the current construction practice, thus improving the scientific rigor and practicality of parameter settings.

[0028] In this embodiment, the deviation between the actual construction parameters and the target value is continuously monitored during the grouting process. When fluctuations in grouting pressure, abnormal flow rate, or deviations in lifting speed from the set range are detected, the pumping pressure, valve opening, or drilling rig lifting rate are automatically fine-tuned according to a preset control algorithm. Specifically, the following operations are performed: Real-time acquisition of actual grouting pressure values Actual value of grouting flow rate and actual value of speed increase and the set target value output by the parameter matching unit. , , By comparing the parameters, the relative deviations of each parameter are calculated. Based on the deviations and their trends, the required adjustment is calculated using the following multi-parameter coupled control algorithm: ; in, To adjust the overall coefficient, These are the deviation weighting coefficients for pressure, flow rate, and velocity, respectively, and their values ​​are related to the similarity scores output by the formation identification unit. and parameter weights Correspondingly, the worse the formation stability, the higher the weight. As a dynamic response factor, The rate of change of deviation is used to predict trends; based on Automatic value generation instruction: when When the threshold is exceeded, the high-pressure pump output pressure is adjusted according to priority to compensate for the pressure deviation, the valve opening is adjusted to correct the flow rate, and the drilling rig hydraulic system is controlled to fine-tune the lifting rate to ensure that the construction parameters are stable within the set range.

[0029] Specifically, through a multi-parameter coupled control algorithm, the deviations and trends of three key parameters—pressure, flow rate, and velocity—are uniformly quantified into a comprehensive adjustment coefficient. Based on this coefficient, adjustment commands are automatically generated, achieving proactive and predictive control of the construction process, rather than passive response. It can quickly detect unstable trends such as pressure fluctuations and abnormal flow rates, and make timely fine-tuning corrections before they affect the pile quality. This achieves millisecond-level real-time stabilization of the grouting process, effectively suppressing fluctuations in construction parameters and ensuring the continuity and stability of the grouting operation.

[0030] In this embodiment, the grouting process execution module includes: The drilling rig control unit is used to precisely control the rotation speed, sinking depth, and lifting speed of the drill rod, ensuring that the drill rod runs along the preset trajectory and starts the jet grouting operation after reaching the design depth. During the lifting process, it maintains a uniform speed to avoid sudden speed changes that could cause uneven pile structure. The high-pressure grouting unit receives instructions from the intelligent parameter control module, adjusts the output pressure and flow rate of the high-pressure pump to ensure that the grout is sprayed out from the nozzle at a stable pressure, and controls the grout ratio and supply continuity to ensure that the grouting volume meets the requirements of the pile volume. The process coordination unit is used to coordinate the timing between drilling rig actions and grouting operations, so as to realize the synchronous operation of drill rod rotation, lifting and grout injection, and to monitor the equipment status in real time during construction, and to diagnose and handle drill rod jamming and abnormal pump pressure faults. The construction record unit is used to record detailed construction parameters and data for each pile throughout the entire process, including drilling depth, grouting start and end times, pressure-flow curves, and lifting speed changes, providing complete data support for quality assessment and traceability.

[0031] Specifically, through the precise coordination of four units—drilling rig control, high-pressure grouting, process collaboration, and construction records—the parameter commands issued by the intelligent control module are translated into precise actions of the on-site equipment. This ensures that the rotation and lifting of the drill rod and the injection of grout are highly synchronized in time and space, avoiding grout waste or pile quality problems caused by uncoordinated actions. Simultaneously, complete data recording provides an tamper-proof basis for quality traceability and optimization analysis. This ensures that the optimized parameter scheme is flawlessly transformed into high-quality physical piles, guaranteeing the consistency between theoretical design and actual pile formation, and achieving full-element digital archiving of the construction process.

[0032] In this embodiment, the timing coordination between drilling rig movements and grouting operations is used to achieve synchronous drilling rod rotation, lifting, and grout injection. Specifically, the following operations are performed: The system receives real-time signals from the drilling rig control unit regarding the current rotation speed and lifting displacement of the drill rod, as well as grout injection status signals from the high-pressure grouting unit. A time-based synchronous control sequence is established, with the timing matching degree obtained using the following formula: ; in, For temporal coherence, and These are the real-time rotational speed and the set rotational speed of the drill pipe, respectively. and These are real-time speed boost and set speed boost, respectively. and These are the real-time grouting flow rate and the set flow rate, respectively. To coordinate the judgment cycle, For traffic synchronization weighting coefficients; when When the pressure drops below the set threshold, the drilling rig's hydraulic system automatically adjusts the propulsion commands and the start-stop sequence of the high-pressure pump, and performs millisecond-level delay compensation for the rotary motor and grouting valve to ensure that the three actions remain synchronized on the time axis. At the same time, grout injection is started in advance during the initial stage of drill rod lifting and grouting is delayed at the end stage of lifting to avoid insufficient or redundant grout at the pile end.

[0033] Specifically, by calculating the quantitative indicator of timing coordination, the system monitors and controls the coordination accuracy between drilling rig actions and grouting operations in real time. It can automatically detect and compensate for minor deviations caused by equipment response delays or asynchronous control commands, ensuring that the three actions mesh precisely like gears. Especially in critical areas such as the top and bottom of the pile, pre-start grouting and delayed grouting strategies effectively guarantee the forming quality of the pile tip. This achieves a high degree of synchronization and seamless connection between mechanical actions and grouting operations, effectively avoiding problems such as uneven pile body and quality defects at the pile head and tail caused by timing discrepancies, thus improving the integrity and continuity of the entire pile.

[0034] In this embodiment, the pile quality assessment module includes: The data preprocessing unit is used to organize and filter the raw construction data recorded by the grouting process execution module, remove outliers, extract key feature parameters, including average grouting pressure, total grouting volume, and effective lifting time, to form a standardized dataset. The feature analysis unit is used to calculate the key quality indicators of pile formation based on the preprocessed data, including the uniformity coefficient of the pile body, the conformity of the theoretical pile diameter, and the stability of the grouting volume per unit length. By comparing with the design value or historical qualified pile data, the quality grade of the pile body can be preliminarily judged. The evaluation model unit is used to integrate expert experience and machine learning algorithms to build a quality evaluation model. It takes the indicators output by the feature analysis unit as input to comprehensively evaluate the pile quality of a single jet grouting pile and outputs a quantitative score or a judgment result of whether it is qualified or not. The feedback optimization unit is used to feed the evaluation results back to the intelligent parameter control module to verify the effectiveness of the construction parameter adjustment. Based on the common quality problems reflected in the evaluation results, including insufficient pile diameter and uneven grout distribution, it proposes parameter optimization suggestions to form a closed-loop quality control process.

[0035] Specifically, by directly linking construction process data with the final quality evaluation, quality control is integrated throughout the entire construction process, rather than just remaining at the post-construction inspection stage. This enables online, non-destructive, and real-time assessment of pile quality, greatly improving the efficiency and foresight of quality control and providing a basis for timely adjustments to construction parameters and the achievement of closed-loop quality control.

[0036] In this embodiment, based on the preprocessed data, key quality indicators for pile formation are calculated, such as the pile uniformity coefficient, theoretical pile diameter conformity, and stability of grouting volume per unit length. By comparing these with design values ​​or historical qualified pile data, the pile quality grade is preliminarily determined. The specific operations are as follows: Receive the standardized construction dataset output by the data preprocessing unit and extract the grouting pressure time series data, lifting speed sequence and total grouting volume information for each pile; The uniformity coefficient of the pile body is calculated. This coefficient is obtained by analyzing the fluctuation of grouting volume within a unit lifting distance at different depths. If the fluctuation range is less than a set threshold, the uniformity is judged to be good. The theoretical pile diameter conformity is calculated by back-calculating the theoretical pile diameter based on the grout injection pressure and stratum characteristics during construction, and then comparing it with the actual designed pile diameter to obtain the conformity percentage. To assess the stability of the grouting volume per unit length, the coefficient of variation of the grouting volume per meter along the pile direction is calculated to determine the degree of dispersion of the grout distribution. The calculation results of the above key quality indicators are compared with the preset design specification values ​​or the indicator range of historical qualified pile samples stored in the database. If all indicators are within the qualified range, the quality grade of the pile is initially determined to be excellent. If individual indicators exceed the allowable deviation, they are marked as pending verification or unqualified according to the degree of exceeding the limit, and a preliminary quality analysis report containing the specific values ​​and grade determination of each indicator is output.

[0037] Specifically, by calculating key indicators such as the pile uniformity coefficient, theoretical pile diameter conformity, and stability of grouting volume per unit length, massive amounts of construction process data are condensed into a few intuitive and quantifiable quality evaluation dimensions. These indicators comprehensively reflect the pile formation quality from aspects such as pile morphology, dimensional conformity, and material distribution uniformity, making complex quality conditions measurable and comparable. This achieves the effect of transforming abstract quality conditions into concrete quantitative indicators.

[0038] In this embodiment, the evaluation results are fed back to the intelligent parameter control module to verify the effectiveness of the construction parameter adjustments. Based on common quality problems reflected in the evaluation results, such as insufficient pile diameter and uneven grout distribution, parameter optimization suggestions are proposed. Specifically, the following operations are performed: The system receives a pile quality assessment report from the feature analysis unit. The report includes key indicators such as pile uniformity coefficient, theoretical pile diameter compliance, and stability of grouting volume per unit length, along with their deviations from design standards. The assessment results are compared with the actual process parameters used by the intelligent parameter control module during pile construction to verify the effectiveness of specific parameter combinations under geological conditions. If the assessment indicates insufficient pile diameter, it analyzes whether this is due to low grouting pressure or excessive lifting speed, generating adjustment suggestions, such as appropriately increasing the benchmark grouting pressure or reducing the drill rod lifting speed in similar geological formations. If the assessment indicates uneven grout distribution, it determines whether this is caused by flow fluctuations or mismatched rotation speeds, suggesting optimization of the grouting flow stability control strategy or adjustment of the synergy between drill rod rotation and lifting. All verification conclusions and parameter optimization suggestions are structured and stored in a preset process parameter library, with corresponding geological types and construction conditions marked for subsequent intelligent parameter recommendations.

[0039] Specifically, by establishing a reverse link between quality assessment results and construction parameter settings, the experience of each construction project, regardless of success or failure, is transformed into systematic knowledge accumulation. This allows for the detailed analysis of the causes of quality problems and the provision of targeted parameter optimization suggestions, enabling the system to avoid repeating the same mistakes under the same geological conditions and continuously reinforcing effective parameter strategies.

[0040] The technical scope of this invention is not limited to the content described above. Those skilled in the art can make various modifications and variations to the above embodiments without departing from the technical concept of this invention, and all such modifications and variations should fall within the protection scope of this invention.

Claims

1. A high-pressure jet grouting pile intelligent grouting control system, characterized in that, include: The grouting data acquisition module is used to collect raw data on grouting pressure, grouting flow rate, drill rod lifting speed and formation lithology parameters in real time during the grouting process, and to clean and standardize the collected real-time raw data and store it in a temporary database. The intelligent parameter control module is used to automatically adapt and dynamically adjust the grouting pressure, grouting flow rate and lifting speed based on the real-time raw data and in combination with the preset construction process parameter library, and generate process parameter instructions. The grouting process execution module is used to receive the process parameter instructions, control the drilling rig, high-pressure pump and grouting device to perform rotary jetting and lifting operations according to the set pressure, flow rate and lifting speed, and realize the continuous and stable execution of the grouting process; The pile quality assessment module is used to perform preliminary analysis and assessment of the uniformity, diameter, and strength indicators of piles based on real-time raw data and historical construction records during the grouting process, and output the quality assessment results.

2. The intelligent grouting control system for high-pressure jet grouting piles according to claim 1, characterized in that: The intelligent parameter control module includes: The stratum identification unit is used to match and identify the stratum type and characteristics of the current construction section based on the lithological parameters uploaded in real time by the grouting data acquisition module and the preset stratum database. The parameter matching unit is used to call up the combination of construction parameters that are suitable for the formation from the preset process parameter library based on the output of the formation identification unit, and to set the adjustable threshold of the parameters. The dynamic adjustment unit is used to continuously monitor the deviation between the actual construction parameters and the target values ​​during the grouting process. When fluctuations in grouting pressure, abnormal flow, or deviations in lifting speed from the set range are detected, the pumping pressure, valve opening, or drilling rig lifting rate are automatically fine-tuned according to the preset control algorithm to maintain the stability of construction parameters and ensure the consistency of pile quality. The parameter library update unit is used to record and learn from parameter combinations that have achieved excellent results in actual construction, based on the feedback results of the pile quality assessment module, and to continuously optimize and expand the preset process parameter library.

3. The intelligent grouting control system for high-pressure jet grouting piles according to claim 2, characterized in that: The process of matching and identifying the strata type and characteristics of the current construction section based on the strata lithology parameters uploaded in real time by the grouting data acquisition module and a preset strata database involves the following operations: The system receives the stratigraphic lithology parameter sequence uploaded by the grouting data acquisition module in real time, preprocesses the parameter sequence, accesses a preset stratigraphic database, executes a matching and identification algorithm, and determines the optimal matching stratigraphic layer by calculating the multidimensional similarity between the current parameter vector and the feature vectors of various stratigraphic types in the database. The similarity calculation is obtained by the following formula: in, Indicates the current parameter and the first Similarity score of land strata types For the current number Measured values ​​of lithological parameters and The respective databases of the first Seed stratum The mean and standard deviation of the parameters, For the first The weighting coefficients of the term parameters, An adjustment factor is used to balance the effects of distance and covariance. This represents the determinant of the covariance matrix between the current parameter vector and the database stratigraphic parameter vector. Based on the similarity scores, the stratigraphic type with the highest score is selected as the identification result, and a characteristic summary of that stratigraphic type is output.

4. The intelligent grouting control system for high-pressure jet grouting piles according to claim 2 or 3, characterized in that: The method for using the output results of the formation identification unit to call up a combination of construction parameters suitable for the formation from a preset process parameter library, and setting adjustable thresholds for the parameters, specifically performs the following operations: Receive stratigraphic type identifier and its similarity score output by the stratigraphic identification unit Access the preset process parameter library, which is indexed by formation type and stores the benchmark grouting pressure corresponding to various formations. Grouting flow range Speed ​​increase range and historical construction optimization coefficients; based on The magnitude is used to adjust the confidence weight of the parameter. If the values ​​are below the set threshold, interpolation compensation is performed using parameters from adjacent formations. After extracting the baseline parameters, and considering the current construction stage and equipment status, the recommended values ​​and adjustable thresholds for the actual construction parameters are calculated using the following parameter adaptation formula: ; in, To set the grouting pressure, Set a range for the grouting flow rate. To improve the speed benchmark value; As a formation stability adjustment factor, This is the equipment condition compensation coefficient. This represents the real-time pumping capacity deviation. The flow boundary relaxation coefficient; These are the weighting coefficients for each lithological parameter during the stratigraphic identification stage. This represents the standard deviation of the corresponding stratigraphic parameters in the database. To prevent the elimination of zero constants, adjustable threshold ranges are set for each parameter based on the above calculation results to ensure that the construction process is dynamically optimized within the allowable range.

5. The intelligent grouting control system for high-pressure jet grouting piles according to claim 4, characterized in that: The system is used to continuously monitor the deviation between actual construction parameters and target values ​​during grouting. When fluctuations in grouting pressure, abnormal flow rates, or deviations in lifting speed from the set range are detected, the system automatically fine-tunes the pumping pressure, valve opening, or drilling rig lifting rate according to a preset control algorithm. Specifically, the following operations are performed: Real-time acquisition of actual grouting pressure values Actual value of grouting flow rate and actual value of speed increase and the set target value output by the parameter matching unit. , , By comparing the parameters, the relative deviations of each parameter are calculated. Based on the deviations and their trends, the required adjustment is calculated using the following multi-parameter coupled control algorithm: ; in, To adjust the overall coefficient, These are the deviation weighting coefficients for pressure, flow rate, and velocity, respectively, and their values ​​are related to the similarity scores output by the formation identification unit. and parameter weights Related, As a dynamic response factor, The rate of change of deviation, according to Automatic value generation instruction: when When the threshold is exceeded, the high-pressure pump output pressure is adjusted according to priority to compensate for the pressure deviation, the valve opening is adjusted to correct the flow rate, and the drilling rig hydraulic system is controlled to fine-tune the lifting rate to ensure that the construction parameters are stable within the set range.

6. The intelligent grouting control system for high-pressure jet grouting piles according to claim 1, characterized in that: The grouting process execution module includes: The drilling rig control unit is used to precisely control the rotation speed, sinking depth, and lifting speed of the drill rod, and to start the jet grouting operation after reaching the designed depth, maintaining a constant speed during the lifting process; The high-pressure grouting unit is used to receive instructions from the intelligent parameter control module, adjust the output pressure and flow of the high-pressure pump, and control the grout ratio and supply continuity. The process coordination unit is used to coordinate the timing between drilling rig actions and grouting operations, so as to realize the synchronous operation of drill rod rotation, lifting and grout injection, and to monitor the equipment status in real time during construction, and to diagnose and handle drill rod jamming and abnormal pump pressure faults. The construction record unit is used to record detailed construction parameters and data for each pile throughout the entire process.

7. The intelligent grouting control system for high-pressure jet grouting piles according to claim 6, characterized in that: The timing coordination between drilling rig movements and grouting operations, to achieve synchronous rotation and lifting of the drill rod and injection of grout, specifically involves the following operations: The system receives real-time signals from the drilling rig control unit regarding the current rotation speed and lifting displacement of the drill rod, as well as grout injection status signals from the high-pressure grouting unit. A time-based synchronous control sequence is established, with the timing matching degree obtained using the following formula: ; in, For temporal coherence, and These are the real-time rotational speed and the set rotational speed of the drill pipe, respectively. and These are real-time speed boost and set speed boost, respectively. and These are the real-time grouting flow rate and the set flow rate, respectively. To coordinate the judgment period, For traffic synchronization weighting coefficients; when When the pressure drops below the set threshold, the drilling rig's hydraulic system automatically adjusts the propulsion commands and the start-stop sequence of the high-pressure pump, and performs millisecond-level delay compensation for the rotary motor and grouting valve. Grout injection is initiated in advance during the drill rod lifting start-up stage and the grouting is delayed during the lifting end stage.

8. The intelligent grouting control system for high-pressure jet grouting piles according to claim 1, characterized in that: The pile quality assessment module includes: The data preprocessing unit is used to organize and filter the raw construction data recorded by the grouting process execution module, remove outliers, and extract key feature parameters. The feature analysis unit is used to calculate the key quality indicators of pile formation based on the preprocessed data, and to preliminarily determine the quality grade of the pile body by comparing it with the design values ​​or historical qualified pile data. The evaluation model unit is used to integrate expert experience and machine learning algorithms to build a quality evaluation model. It takes the indicators output by the feature analysis unit as input to comprehensively evaluate the pile quality of a single jet grouting pile and outputs a quantitative score or a judgment result of whether it is qualified or not. The feedback optimization unit is used to feed the evaluation results back to the intelligent parameter control module to verify the effectiveness of the construction parameter adjustment and to address common quality problems reflected in the evaluation results.

9. The intelligent grouting control system for high-pressure jet grouting piles according to claim 8, characterized in that: The process of calculating key quality indicators for pile formation based on preprocessed data and preliminarily determining the pile quality grade by comparing them with design values ​​or historical qualified pile data involves the following steps: Receive the standardized construction dataset output by the data preprocessing unit and extract the grouting pressure time series data, lifting speed sequence and total grouting volume information for each pile; The uniformity coefficient of the pile body is calculated. This coefficient is obtained by analyzing the fluctuation of grouting volume within a unit lifting distance at different depths. If the fluctuation range is less than a set threshold, the uniformity is judged to be good. The theoretical pile diameter conformity is calculated by back-calculating the theoretical pile diameter based on the grout injection pressure and stratum characteristics during construction, and then comparing it with the actual designed pile diameter to obtain the conformity percentage. To assess the stability of the grouting volume per unit length, the coefficient of variation of the grouting volume per meter along the pile direction is calculated to determine the degree of dispersion of the grout distribution. The calculation results of the above key quality indicators are compared with the preset design specification values ​​or the indicator range of historical qualified pile samples stored in the database. If all indicators are within the qualified range, the quality grade of the pile is initially determined to be excellent. If individual indicators exceed the allowable deviation, they are marked as pending verification or unqualified according to the degree of exceeding the limit, and a preliminary quality analysis report containing the specific values ​​and grade determination of each indicator is output.

10. The intelligent grouting control system for high-pressure jet grouting piles according to claim 1, characterized in that: The method is used to feed the evaluation results back to the intelligent parameter control module to verify the effectiveness of the construction parameter adjustments, and to perform the following operations based on the common quality problems reflected in the evaluation results: The system receives the pile quality assessment report output by the feature analysis unit, compares the assessment results with the actual process parameters used by the intelligent parameter control module during the construction of this pile, and verifies the actual effect of specific parameter combinations under geological conditions. If the assessment results indicate that there is an insufficient pile diameter, it analyzes whether this is caused by low grouting pressure or excessive lifting speed, and generates adjustment suggestions, specifically including appropriately increasing the benchmark grouting pressure or reducing the drill rod lifting speed in similar geological formations. If the assessment results indicate uneven grout distribution, it determines whether this is caused by flow fluctuations or mismatched rotation speeds, and suggests optimizing the grouting flow stability control strategy or adjusting the synergy between drill rod rotation and lifting. All verification conclusions and parameter optimization suggestions are structured and stored in a preset process parameter library, and the corresponding geological type and construction conditions are marked.

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