Reinforcement treatment method and equipment for soft soil foundation in severe cold area

Abstract

The invention relates to the technical field of foundation improvement, in particular to a reinforcement treatment method and equipment for a soft soil foundation in a severe cold area, a multi-source sensor is adopted to obtain the frozen moisture content and the soil type of a soil body in a construction area, and the initial value of the bearing capacity of the foundation is obtained through mapping, so that the reinforcement pile length, the reinforcement pile diameter and the reinforcement depth are initialized; the pertinence and accuracy of foundation design are improved, operation parameters of the deep mixing pile machine are set in combination with reinforcing parameters, key parameters such as the drilling speed and the mixing rotating speed of the deep mixing pile machine are optimized in real time based on the environment temperature, the working state of the deep mixing pile machine is continuously monitored in the construction process, and intelligent regulation and control of the reinforcing process are achieved; and after reinforcement operation is completed, sensor data and parameter adjustment records are automatically filed, the unconfined compressive strength of the improved foundation is obtained, the matching relation between the initial value of the bearing capacity of the foundation and reinforcement parameters is updated accordingly, and data support is provided for subsequent construction under the similar geological conditions.

Description

Technical Field

[0001] This invention relates to the field of foundation improvement technology, and in particular to a method and equipment for reinforcing soft soil foundations in frigid regions. Background Technology

[0002] When carrying out soft soil foundation reinforcement in frigid regions, the commonly used technical methods mainly include deep mixing, high-pressure jet grouting, and replacement compaction. The process is usually as follows: First, multi-source sensors are used to conduct preliminary surveys and assessments of geological environmental parameters such as ground temperature, freezing depth, and moisture content of the soil in the construction area to obtain basic data. Then, the deep mixing pile machine is started, and the mixing drill bit is drilled into the foundation soil layer. During the drilling process, solidification grout is injected simultaneously to fully mix the grout with the original soil to form a soil column with uniform strength and stable structure.

[0003] For example, Chinese invention patent CN114575330B discloses a method for deep cement mixing and grouting reinforcement of soft soil foundation, which relates to the field of building engineering. The reinforcement method includes the following steps: S1, placing a cement mixing and grouting machine for deep cement mixing and grouting of soft soil foundation on the ground; S2, starting the mixing and grouting machine, and drilling the drill bit of the machine body in forward circulation to the expected depth in the soft soil foundation; S3, reversing the drilling and grouting of the drill bit of the machine body and spraying concrete slurry; S4, repeatedly drilling the drill bit of the machine body to the set depth.

[0004] S5. The drill bit of the machine body is lifted and concrete slurry is sprayed onto the ground surface; S6. Wait for the concrete slurry to solidify into a pile.

[0005] For example, Chinese invention patent CN115341529B discloses a method and apparatus for cement mixing and grouting reinforcement of deep soft soil foundations. The apparatus includes a mixing arm that can be retracted and extended arranged on the periphery of a mixing column, a soil-breaking cone inserted into the bottom end of the mixing column, the soil-breaking cone being flexibly connected to the free end of the mixing arm, and a mixing pile machine. The method includes sinking the mixing column with the retracted mixing arm into the soft soil through the soil-breaking cone, and then lifting the mixing column so that the soil-breaking cone pulls the free end of the mixing arm to extend it by its own weight. The device has a simple structure and reliable operation. Even if soil enters the gap between the mixing column and the mixing arm, it cannot hinder the extension of the mixing arm. Then, using the mixing pile operation method, cement is injected into the soft soil through the mixing column and / or the mixing arm to form a cement-soil pile.

[0006] Existing technologies suffer from the following technical problems: Foundation treatment equipment is typically designed with adaptability and versatility in mind, aiming to cover various geological and construction environments. However, under extremely cold conditions, soil moisture easily condenses and freezes, leading to ice buildup on the surface of the mixing blades, which in turn causes mechanical parts to jam and abnormal fluctuations in torque. Existing technologies are insufficiently adaptable to such extreme conditions and struggle to provide effective solutions. The combined effect of these factors significantly impacts the continuity and stability of foundation treatment equipment operation, thereby hindering the reliable assurance of foundation treatment work quality. Summary of the Invention

[0007] To address the technical problem of poor environmental adaptability of existing foundation treatment equipment, this invention provides a method and equipment for reinforcing soft soil foundations in frigid regions. The technical solution is as follows:

[0008] On the one hand, a method for reinforcing soft soil foundations in frigid regions is provided. This method is implemented by a soft soil foundation reinforcement device and includes: Step 1: Using multi-source sensors to acquire the freezing moisture content and soil type of the soft soil in the construction area of ​​the frigid region, mapping the initial value of the bearing capacity of the soft soil foundation in the frigid region, thereby initializing the reinforcement parameters of the soft soil foundation; Step 2: Based on the reinforcement parameters of the soft soil foundation, setting the operating parameters of the deep mixing pile machine, acquiring the ambient temperature of the frigid region to optimize the operating parameters of the deep mixing pile machine, releasing the start signal of the deep mixing pile machine to reinforce the soft soil foundation in the frigid region, monitoring the working status parameters of the deep mixing pile machine, thereby optimizing the reinforcement operation process of the deep mixing pile machine; Step 3: After the reinforcement operation is completed, all sensor data and optimization records on the deep mixing pile machine are automatically archived, the unconfined compressive strength of the improved soft soil foundation in the frigid region is obtained, thereby updating the correspondence between the initial value of the bearing capacity and the reinforcement parameters.

[0009] On the other hand, a soft soil foundation reinforcement treatment device is provided, which includes: a processor; a memory, the memory storing computer-readable instructions, which, when executed by the processor, implement the reinforcement treatment method for soft soil foundations in frigid regions as described above.

[0010] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following:

[0011] (1) This invention provides a method and equipment for reinforcing soft soil foundations in frigid regions. First, multi-source sensors are used to acquire the freezing moisture content and soil type of the soil in the construction area, mapping the initial value of the foundation's bearing capacity to initialize reinforcement parameters such as pile length, pile diameter, and reinforcement depth, improving the targeting and accuracy of foundation design. Subsequently, the operating parameters of the deep mixing pile machine are set in conjunction with the reinforcement parameters, and key parameters such as drilling speed and mixing speed are optimized in real time based on ambient temperature. During construction, the working status of the deep mixing pile machine is continuously monitored to achieve intelligent control of the reinforcement process, improving construction stability and uniformity. Finally, after the reinforcement operation is completed, the sensor data and parameter adjustment records are automatically archived to obtain the unconfined compressive strength of the improved foundation, and the matching relationship between the initial value of the foundation's bearing capacity and the reinforcement parameters is updated accordingly, providing data support for subsequent construction under similar geological conditions. This method can significantly improve the adaptability, safety, and parameter reuse efficiency of foundation reinforcement in frigid environments.

[0012] (2) This invention enables precise control over the entire process of soft soil foundation reinforcement in frigid regions. By accurately acquiring freezing moisture and soil type through multi-source sensors, the scientific nature of reinforcement parameter setting is improved; by dynamically optimizing the operating parameters of the mixing pile machine in combination with ambient temperature, the stable operation of the deep mixing pile machine at low temperatures is ensured; and by monitoring the mixing status in real time, abnormal working conditions can be identified and adjusted in a timely manner, thereby improving the reinforcement quality.

[0013] (3) This invention introduces real-time monitoring and quantitative analysis of drilling and mixing parameters, which can accurately identify abnormal states during drilling and mixing, and avoid overload or inefficient construction; based on the mapping relationship between indicators and database, the parameters are adaptively optimized to ensure efficient and stable operation of mixing and drilling under low temperature conditions; if an abnormality occurs, an early warning is triggered and the drilling pressure or speed is dynamically adjusted, which significantly reduces the failure and quality risks of deep mixing pile machine; during the lifting stage, the grouting and mixing speed are accurately matched based on the statistical mean, and the lifting operation parameters are intelligently initialized, thereby enhancing the uniformity and durability of foundation reinforcement and improving the overall reliability of the project.

[0014] (4) This invention judges the reinforcement effect by comparing the unconfined compressive strength with the target strength, which can promptly identify insufficient foundation reinforcement and ensure that the reinforcement quality meets the standards. When the strength is insufficient, the system automatically triggers an early warning and re-collects key parameters to realize dynamic correction of the mapping relationship between bearing capacity and reinforcement parameters. This effectively avoids construction rework or failure to meet bearing capacity standards due to parameter inaccuracies, thereby improving the safety and reliability of soft soil foundation reinforcement. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a flowchart of a reinforcement method for soft soil foundations in frigid regions provided by an embodiment of the present invention;

[0017] Figure 2 This is a schematic diagram of the structure of a soft soil foundation reinforcement device provided in an embodiment of the present invention;

[0018] Figure 3 This is a flowchart of soil parameter identification and reinforcement parameter initialization provided in an embodiment of the present invention;

[0019] Figure 4 This is a flowchart of the mixing operation monitoring and anomaly control provided in an embodiment of the present invention;

[0020] Figure 5 This is a flowchart of drilling status analysis and dynamic adjustment provided in an embodiment of the present invention;

[0021] Figure 6 This is a flowchart of the improvement operation and improvement effect evaluation provided in the embodiments of the present invention;

[0022] Figure 7 This is a diagram of the deep mixing machine monitoring interface provided in an embodiment of the present invention;

[0023] Figure 8 This is a diagram of the monitoring interface of the grouting pump station provided in an embodiment of the present invention. Detailed Implementation

[0024] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0025] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0026] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, their intended meanings are consistent. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, their intended meanings are consistent.

[0027] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0028] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0029] This invention provides a method for reinforcing soft soil foundations in frigid regions. This method can be implemented using soft soil foundation reinforcement equipment, which can be a terminal or a server. Figure 1 The flowchart shown represents a reinforcement method for soft soil foundations in frigid regions. The process of this method may include the following steps:

[0030] Step 1: Use multi-source sensors to obtain the freezing moisture content and soil type of the soft soil construction area in the frigid region, and map the initial value of the bearing capacity of the soft soil foundation in the frigid region to initialize the reinforcement parameters of the soft soil foundation.

[0031] Step 2: Based on the reinforcement parameters of the soft soil foundation, set the operating parameters of the deep mixing pile machine, obtain the ambient temperature of the frigid region to optimize the operating parameters of the deep mixing pile machine, release the start signal of the deep mixing pile machine to reinforce the soft soil foundation in the frigid region, monitor the working status parameters of the deep mixing pile machine, and thus optimize the reinforcement operation process of the deep mixing pile machine.

[0032] Step 3: After the reinforcement work is completed, all sensor data and optimization records on the deep mixing pile machine are automatically archived to obtain the unconfined compressive strength of the improved soft soil foundation in frigid regions, thereby updating the correspondence between the initial bearing capacity value and the reinforcement parameters.

[0033] Given the characteristics of existing soft soil foundations, such as loose soil texture, high porosity, high water content, low strength, and high compressibility coefficient, the development of soft soil foundations will be exacerbated after freeze-thaw cycles in frigid regions. Therefore, in the treatment of soft soil foundations, it is necessary to adopt practical and feasible construction techniques, scientific and reasonable soft soil subgrade treatment methods, and implement the best technical solutions to reinforce the soft soil foundation, improve its stability and durability, and thus ensure the stability and quality of the subgrade. During construction, the focus should be on studying and exploring soft soil foundation construction technologies, such as shallow replacement, cement mixing piles, prestressed pipe piles, and crushed stone piles. Analysis and summarization of soft soil foundation construction technologies, applicable scope, materials and equipment, economic comparisons, and quality control effects are needed. High-performance materials, equipment, and construction schemes should be selected to optimize and guide on-site construction. This invention analyzes this from the perspective of cement mixing piles.

[0034] Figure 3 This is a flowchart of soil parameter identification and reinforcement parameter initialization provided in this embodiment of the invention. It obtains the freezing moisture content and soil type information of the target area and integrates them into a soil parameter set. Subsequently, this set is compared with a reference soil parameter set stored in the database to determine the initial value of the foundation bearing capacity. Based on the established parameter mapping relationship, the system further determines the length, diameter, and depth of the reinforcement piles, and initializes the reinforcement operation parameters of the deep mixing piles accordingly, setting the operating configuration of the pile driver.

[0035] By using resistivity probes and TDR sensors to obtain the freezing moisture content of soil, and by using ground-penetrating radar and shear wave velocity testing equipment to identify soil types, combined with multi-source signal fusion analysis, a quantitative identification and classification of the characteristics of soft soil in frigid regions can be formed.

[0036] Optionally, the operating parameters of the deep mixing pile machine can be optimized by obtaining the ambient temperature of the frigid region. The specific optimization process is as follows: the rotation speed of the mixing blades in the operating parameters of the deep mixing pile machine is obtained through a rotary encoder and compared with the ambient temperature-mixing blade rotation speed mapping table stored in the database to obtain the ambient temperature corresponding to the mixing blade rotation speed, which is marked as the reference ambient temperature; the ambient temperature of the frigid region is compared with the reference ambient temperature. If a preset valid condition exists, the rotation speed of the mixing blades of the deep mixing pile machine is not optimized; if no valid condition exists, the rotation speed of the mixing blades in the operating parameters of the deep mixing pile machine is optimized to meet the preset valid condition; the valid condition refers to the ambient temperature of the frigid region and the reference ambient temperature belonging to the same temperature range stored in the database.

[0037] The mapping relationship between ambient temperature and mixing blade rotation speed is a parameter matching model established based on the influence of changes in soft soil state under different temperature conditions on the performance of construction machinery. At low temperatures, the soil is prone to freezing or strong cohesion; if the rotation speed is too high, it may lead to uneven mixing or abnormal mechanical load. Therefore, the rotation speed needs to be appropriately reduced to ensure stable torque output. In relatively warmer environments, the soil softens or its fluidity increases, allowing for an appropriate increase in rotation speed to improve construction efficiency and mixing uniformity. This mapping relationship is mostly obtained through field construction experience, accumulated experimental data, or historical database modeling.

[0038] Comparing the real-time ambient temperature in frigid regions with the reference temperature in this mapping relationship and controlling them within the same temperature range is primarily to achieve a dynamic balance between mixing efficiency, the safety of deep mixing pile machines, and energy consumption control. On the one hand, this ensures thorough mixing of the reinforcement material with the undisturbed soil, avoiding construction defects caused by temperature differences; on the other hand, it effectively reduces the risk of malfunctions caused by drastic temperature changes in deep mixing pile machines, extends their service life, and enables automated parameter adjustment, improving the adaptability and operational stability of deep mixing pile machines in extreme environments.

[0039] It needs to be explained that the initialization process for the reinforcement parameters of the soft soil foundation is as follows: The freezing moisture content and soil type of the soft soil in the construction area of ​​the frigid region are integrated into a set of soil parameters for the soft soil construction area. This set is then compared with the various soil parameter sets stored in the database using multi-dimensional vector similarity algorithms such as cosine similarity or Euclidean distance. The similarities are sorted in descending order, and the soil parameter set corresponding to the highest similarity is extracted and marked as the reference soil parameter set. The initial bearing capacity value of the reference soil parameter set is obtained, and thus marked as the initial bearing capacity value of the soft soil foundation in the frigid region. The reinforcement parameters of the soft soil foundation include the reinforcement pile length, reinforcement pile diameter, and reinforcement depth. Based on the mapping relationship stored in the database, the reinforcement pile length, reinforcement pile diameter, and reinforcement depth of the soft soil foundation are obtained. The mapping relationship refers to the mapping relationship between the initial bearing capacity value of the soft soil foundation and the reinforcement pile length, reinforcement pile diameter, and reinforcement depth.

[0040] Specifically, monitoring the working status parameters of the deep mixing pile machine includes: the mixing parameters and drilling parameters of the deep mixing pile machine.

[0041] In the construction of deep mixing piles, the mixing and drilling operations are carried out simultaneously. As the drill bit gradually descends to the preset reinforcement depth, the mixing blades rotate synchronously, mixing the solidifying agent with the soil, thus achieving a construction mode of drilling and mixing simultaneously. During the drilling process to the preset reinforcement depth, the construction is divided into several monitoring cycles. Each monitoring cycle is further subdivided into multiple monitoring sub-cycles. The shorter sub-cycles are primarily used for real-time monitoring and dynamic adjustment of mixing-related parameters to ensure the uniformity and stability of the mixing process. The longer monitoring cycles focus on the overall analysis and optimization of drilling parameters to improve drilling efficiency and construction quality. Through hierarchical, multi-time-period parameter monitoring and adjustment, precise control of the mixing and drilling processes is achieved, ensuring the continuity and efficiency of the reinforcement construction process.

[0042] This phased monitoring mechanism is based on the technological characteristics of both mixing and drilling. The mixing process requires rapid response and timely adjustment of parameters such as mixing speed and torque; therefore, a short-cycle monitoring sub-cycle is used to achieve fine-grained control. The drilling process, while relatively stable, affects the overall construction progress, so a longer monitoring cycle is used for comprehensive analysis and parameter optimization to avoid fluctuations in the deep mixing pile machine caused by frequent adjustments. This method effectively improves the level of construction intelligence and enhances the stability of the deep mixing pile machine operation and the controllability of reinforcement quality.

[0043] During the monitoring sub-cycle, the mixing parameters of the deep mixing pile machine are monitored. By analyzing the mixing parameters of the deep mixing pile machine, the mixing anomaly index of the deep mixing pile machine is obtained and compared with the mixing anomaly threshold, so as to optimize the mixing process of the deep mixing pile machine in the reinforcement operation during the next monitoring sub-cycle. The mixing anomaly threshold is the maximum value of the reasonable range of the mixing anomaly index stored in the database.

[0044] The mixing parameters of a deep mixing pile machine include its mixing torque, rotational speed fluctuation, and mixing energy consumption. Mixing torque represents the torque experienced by the mixing blades during rotation, reflecting the resistance between the blades and the soil. Increased torque usually indicates increased soil resistance or abnormal mechanical load. This parameter is collected by a torque sensor mounted on the mixing shaft, and its average value is calculated within the monitoring sub-cycle to obtain the mixing torque, reducing the impact of instantaneous fluctuations and obtaining an average level representative of the monitoring sub-cycle. Rotational speed fluctuation refers to the range of change in the rotational speed of the mixing blades within the monitoring sub-cycle, reflecting the stability of the mixing process. Blade rotational speed data is collected by a rotational speed sensor or encoder, and the standard deviation of the rotational speed within the monitoring sub-cycle is calculated, thus marking it as the rotational speed fluctuation value and quantifying the stability of the rotational speed. Mixing energy consumption reflects the electrical or fuel energy consumed by the deep mixing pile machine within the monitoring sub-cycle. It is an important indicator for evaluating mixing efficiency and mechanical load. It is measured by current and voltage acquisition devices or fuel flow meters, and the average energy consumption within the monitoring sub-cycle is calculated, thus marking it as the mixing energy consumption, reflecting the load condition of the deep mixing pile machine.

[0045] The influence of the proportional components of mixing torque, speed fluctuation, and mixing energy consumption on the mixing anomaly index is quantified by contribution measurement values. The influence of each component is then summarized to obtain the mixing anomaly index of the deep mixing pile machine.

[0046] The proportional component of the mixing torque, FST, refers to the ratio between the mixing torque of the deep mixing pile machine and the defined mixing torque stored in the database. ST represents the mixing torque of the deep mixing pile machine, and JST represents the defined mixing torque, indicating the upper limit of the reasonable range of mixing torque.

[0047] The proportional component of rotational speed fluctuation (FSFA) refers to the ratio between the rotational speed fluctuation value of the deep mixing pile machine and the defined rotational speed fluctuation value stored in the database. SFA is the rotational speed fluctuation value of the deep mixing pile machine, and JSFA is the defined rotational speed fluctuation value, representing the upper limit of the reasonable range of rotational speed fluctuation value.

[0048] The mixing energy consumption ratio component FSEC refers to the ratio between the mixing energy consumption of the deep mixing pile machine and the defined mixing energy consumption stored in the database, i.e. SEC represents the mixing energy consumption of the deep mixing pile machine, while JSEC defines the mixing energy consumption, indicating the upper limit of the reasonable range of mixing energy consumption.

[0049] The mixing anomaly index of a deep mixing pile machine is used to reflect the degree of anomaly occurring at the mixing layer. Its specific expression is as follows:

[0050] SAI=FST×ZA+FSFA×ZB+FSEC×ZC;

[0051] SAI is the mixing anomaly index of the deep mixing pile machine, ZA is the contribution measure of the proportional component of mixing torque, ZB is the contribution measure of the proportional component of speed fluctuation, and ZC is the contribution measure of the proportional component of mixing energy consumption preset in the database.

[0052] The contribution measure of the proportional component of mixing torque is used to quantify the influence of the proportional component of mixing torque on the mixing anomaly index; the contribution measure of the proportional component of speed fluctuation value is used to quantify the influence of the proportional component of speed fluctuation value on the mixing anomaly index; the contribution measure of the proportional component of mixing energy consumption is used to quantify the influence of the proportional component of mixing energy consumption on the mixing anomaly index. In order to realize the quantitative identification of the mixing anomaly state of deep mixing pile machine, the database has preset and stored the contribution measure values ​​corresponding to multiple operating parameters. Therefore, the contribution measure values ​​of the proportional component of mixing torque, the proportional component of speed fluctuation value, and the proportional component of mixing energy consumption can be directly extracted from the database. The values ​​of the three are all in the range of 0 to 1.

[0053] In frigid construction environments, the low temperatures cause soil freezing or the formation of freeze-thaw transition layers. Deep mixing pile machines must overcome higher shear resistance during mixing, leading to a significant increase in mixing torque. This drastic torque fluctuation directly interferes with the speed stability of the deep mixing pile machine, manifesting as increased speed volatility, particularly noticeable in areas where frozen and unfrozen soil layers alternate. This speed instability further reduces the efficiency of mixing energy output, significantly increasing the energy consumption per unit volume of soil. These three factors create a chain reaction, collectively reflecting the changes in the construction load of the deep mixing pile machine under frigid conditions. Therefore, when frequent fluctuations in mixing torque, decreased speed stability, and abnormally increased energy consumption occur, the deep mixing pile machine can be identified as being in abnormal operating conditions.

[0054] Specifically, the mixing process of the deep mixing pile machine during the reinforcement operation in the next monitoring sub-cycle will be optimized. The specific optimization process is as follows: if the mixing abnormality index of the deep mixing pile machine is less than or equal to the mixing abnormality threshold, then the mixing process of the deep mixing pile machine during the reinforcement operation in the next monitoring sub-cycle will not be optimized.

[0055] If the mixing anomaly index of the deep mixing pile machine is greater than the mixing anomaly threshold, the mixing blade rotation speed reduction coefficient corresponding to the mixing anomaly index of the deep mixing pile machine is obtained based on the mapping relationship between the mixing anomaly index and the mixing blade rotation speed reduction coefficient stored in the database. This reduces the mixing blade rotation speed of the deep mixing pile machine in the next monitoring sub-cycle. The mixing blade rotation speed reduction coefficient represents the proportion of the mixing blade rotation speed reduction. Multiplying it by the current mixing blade rotation speed completes the reduction of the mixing blade rotation speed.

[0056] Reducing the rotation speed of the mixing blades can effectively decrease the instantaneous shear strength during the mixing process, avoiding problems such as sudden torque changes, increased equipment vibration, and excessive local energy consumption caused by high-speed rotation. This results in a more stable distribution of the three key parameters: mixing torque, speed fluctuation, and mixing energy consumption, leading to a decrease in the mixing anomaly index. Furthermore, while reducing the rotation speed, appropriately extending the mixing time of the piling machine in this area can compensate for the strength loss caused by low-speed mixing, enhance the diffusion of the slurry and its integration with the soil, and ensure a stable improvement in mixing uniformity and construction quality.

[0057] After the reduction is completed, the mixing anomaly index of the deep mixing pile machine is updated. If the updated mixing anomaly index of the deep mixing pile machine is still greater than the mixing anomaly threshold, a mixing warning is issued, and an audible and visual or interface prompt is given. Abnormal information and suggested adjustment measures are generated to guide the operators to deal with the situation in a timely manner and ensure the safe and stable mixing conditions. If the updated mixing anomaly index of the deep mixing pile machine is less than or equal to the mixing anomaly threshold, the mixing parameters of the deep mixing pile machine are continuously monitored.

[0058] A monitoring cycle is formed by setting a number of monitoring sub-cycles. The drilling parameters of the deep mixing pile machine within the monitoring cycle are analyzed, thereby optimizing the drilling process of the deep mixing pile machine in the reinforcement operation in the next monitoring cycle.

[0059] In actual construction, a set number of monitoring sub-cycles constitute a complete monitoring cycle. This allows for centralized analysis of the drilling parameters of the deep mixing pile machine during that stage, providing an optimization basis for drilling operations in the next monitoring cycle. It should be noted that the actual duration of each monitoring sub-cycle may not be exactly equal, mainly due to dynamic adjustments during the mixing process. For example, in the event of mixing anomalies, the system may automatically reduce the rotation speed of the mixing blades or extend the mixing time in local areas, thus correspondingly prolonging the duration of that sub-cycle. Therefore, although the number of sub-cycles is fixed, their duration has a certain degree of flexibility to ensure that the monitoring process accurately reflects the equipment's operating status and the formation's response characteristics, improving the adaptability and stability of subsequent drilling operations.

[0060] Furthermore, the drilling parameters of the deep mixing pile machine during the monitoring period were analyzed. The specific analysis process is as follows: The drilling parameters of the deep mixing pile machine include the average drilling time per unit depth, the average drilling resistance value, and the average amplitude of the drill rod vibration. The average drilling time per unit depth refers to the average time consumed by the pile machine to drill a unit depth (e.g., 1 meter) within a complete monitoring period, reflecting the combined effect of drilling efficiency and soil resistance. A longer drilling time usually indicates greater soil resistance or an increased drilling load on the deep mixing pile machine. During the monitoring period, the deep mixing pile machine's built-in system automatically records the changes in drilling depth and the corresponding time curves. It calculates the time for each drilling depth segment and takes the arithmetic mean of the drilling time per unit depth within that period as the average drilling time per unit depth. The average drilling resistance value is the average vertical resistance of the drill bit / drill rod experienced by the pile machine during drilling within the monitoring period, measured by sensors equipped on the drilling machine itself (such as hydraulic system pressure sensors or torque / thrust sensors). The system continuously collects vertical resistance data during the drilling process, performs statistical averaging on all resistance data within the monitoring period, and obtains the average drilling resistance value for that period. The average amplitude of drill rod vibration refers to the average amplitude of mechanical vibration of the drill rod along the axial or radial direction during the drilling process within the monitoring period. It reflects the stability of the drilling process and the characteristics of soil disturbance. Through acceleration sensors or displacement sensors installed on the drill rod, the system collects drill rod vibration data in real time within the monitoring period, performs spectral analysis or envelope demodulation on the vibration curve, extracts the vibration amplitude signal, and calculates its average amplitude within the period.

[0061] The average mixing anomaly index of the deep mixing pile machine is obtained by statistically analyzing the various mixing anomaly indices during the monitoring period and averaging them. Then, the drilling stability index correction coefficient is matched from the database. The specific matching process is as follows: the database stores a mapping table of average mixing anomaly index and drilling stability index correction coefficient, so the drilling stability index correction coefficient corresponding to the average mixing anomaly index of the deep mixing pile machine can be obtained from the mapping table.

[0062] The drilling stability index correction factor represents the proportional value used to correct the drilling stability index of a deep mixing pile machine.

[0063] The influence of the proportion of average drilling time per unit depth, the proportion of average drilling resistance, and the proportion of average drill rod vibration amplitude on the drilling stability index is quantified by contribution metrics. The influence of each component is coupled to obtain the drilling stability index of the deep mixing pile machine.

[0064] The proportional component of average drilling time per unit depth (FPTD) represents the ratio between the average drilling time per unit depth of the deep mixing pile machine and the defined average drilling time per unit depth stored in the database. PTD stands for the average drilling time per unit depth of a deep mixing pile machine, while JPTD defines the average drilling time per unit depth and represents the upper limit of the reasonable range of the average drilling time per unit depth.

[0065] The proportional component of the average drilling resistance value (FDR) represents the ratio between the average drilling resistance value of the deep mixing pile machine and the defined average drilling resistance value stored in the database. DR is the average drilling resistance value of the deep mixing pile machine, and JDR is the defined average drilling resistance value, representing the upper limit of the reasonable range of the average drilling resistance value.

[0066] The proportional component of the drill rod vibration average amplitude (FDA) represents the ratio between the average amplitude of the drill rod vibration of the deep mixing pile machine and the defined average amplitude of drill rod vibration stored in the database. DA represents the average amplitude of the drill rod vibration of the deep mixing pile machine, while JDA defines the average amplitude of the drill rod vibration, representing the upper limit of the reasonable range of the average amplitude of the drill rod vibration.

[0067] The drilling stability index of a deep mixing pile machine represents the stability of the machine at the drilling level. The specific expression is as follows:

[0068] DSI=(1+FPTD×XA+FDR×XB+FDA×XC) -1 ;

[0069] DSI is the drilling stability index of the deep mixing pile machine, XA is the contribution measure of the proportion of the average drilling time per unit depth, XB is the contribution measure of the proportion of the average drilling resistance value, and XC is the contribution measure of the proportion of the average amplitude of drill rod vibration.

[0070] The contribution measure of the proportion of average drilling time per unit depth is used to quantify the influence of the proportion of average drilling time per unit depth on the drilling stability index; the contribution measure of the proportion of average drilling resistance value is used to quantify the influence of the proportion of average drilling resistance value on the drilling stability index; the contribution measure of the proportion of average drill pipe vibration amplitude is used to quantify the influence of the proportion of average drill pipe vibration amplitude on the drilling stability index; the database stores the contribution measures corresponding to multiple operating parameters in advance, so the contribution measures of the proportion of average drilling time per unit depth, the proportion of average drilling resistance value, and the proportion of average drill pipe vibration amplitude can be directly extracted from the database, and the values ​​of all three range from 0 to 1.

[0071] The average drilling time per unit depth reflects drilling efficiency. When the average drilling time per unit depth is abnormally prolonged, it often means that the drilling process has encountered greater geological resistance or that the equipment is unstable. The average drilling resistance value directly reflects the reaction force experienced by the drill bit when penetrating the soil layer. When the resistance value increases, the advance speed of the deep mixing pile machine will be forced to decrease, thus leading to an increase in the drilling time per unit depth. In addition, the average amplitude of drill rod vibration reflects the structural stability and the degree of mechanical disturbance during the drilling process. When the drill rod vibrates violently in high-resistance soil layers, it will not only affect the stability of the deep mixing pile machine's operation, but also cause speed fluctuations during the advance process, which will further cause abnormal fluctuations in the average drilling time per unit depth and the average drilling resistance value. When all three indicators increase abnormally, the drilling stability index will decrease significantly, reflecting the discontinuity of the drilling process and the increased difficulty of control.

[0072] The drilling stability index correction coefficient is multiplied by the drilling stability index of the deep mixing pile machine, and the result is the corrected drilling stability index of the deep mixing pile machine, thereby updating the drilling stability index of the deep mixing pile machine.

[0073] Because fluctuations in operating conditions during the mixing process significantly impact drilling performance, especially under abnormal mixing conditions where drilling parameters often exhibit unstable fluctuations, the drilling stability index calculated solely based on the original drilling parameters may not fully reflect the equipment's true performance under complex actual operating conditions. Therefore, the system first statistically analyzes the mixing anomaly index for each sub-cycle within the monitoring period and performs averaging to obtain the average mixing anomaly index. Then, it matches the corresponding drilling stability index correction coefficient from the database and multiplies it with the original drilling stability index to obtain the corrected drilling stability index. This correction result more accurately reflects the equipment's stability level under the current mixing-drilling coupling conditions, thereby achieving dynamic calibration and real-time optimization of the piling machine operating condition evaluation model.

[0074] Figure 4 This is a flowchart of the mixing operation monitoring and anomaly control provided in this embodiment of the invention. During the operation of the piling machine, the operating parameters are dynamically optimized according to the current ambient temperature, and an operation start signal is released to enter the mixing state. The system continuously monitors the mixing parameters and calculates the mixing anomaly index in real time. If the mixing anomaly index exceeds the mixing anomaly threshold, the rotation speed of the mixing blades is automatically reduced, the anomaly index is updated, and the judgment is made again; if the mixing anomaly index still exceeds the mixing anomaly threshold, a mixing operation warning is triggered; if the mixing anomaly index falls below the mixing anomaly threshold, the normal monitoring process is restored.

[0075] Furthermore, the drilling process of the deep mixing pile machine during the reinforcement operation in the next monitoring cycle will be optimized. The specific optimization process is as follows: the drilling stability index of the deep mixing pile machine is compared with the drilling stability threshold stored in the database. If the drilling stability index of the deep mixing pile machine is greater than the drilling stability threshold, the drilling process of the deep mixing pile machine during the reinforcement operation in the next monitoring cycle will not be optimized. The drilling stability threshold refers to the lower limit of the reasonable range of the drilling stability index.

[0076] If the drilling stability index of the deep mixing pile machine is less than or equal to the drilling stability threshold, then based on the mapping relationship between the drilling stability index and the drilling pressure increase coefficient of the deep mixing pile machine stored in the database, the drilling pressure increase coefficient corresponding to the drilling stability index of the deep mixing pile machine is obtained, thereby increasing the drilling pressure of the deep mixing pile machine in the next monitoring cycle. The drilling pressure increase coefficient refers to the proportional value of increasing the drilling pressure. Multiplying the drilling pressure increase coefficient by the current drilling pressure completes the increase of the drilling pressure of the deep mixing pile machine in the next cycle.

[0077] Increasing drilling pressure enhances the penetration ability of the pile driver drill bit into frozen soil and complex soil layers, effectively overcoming the increased soil stiffness and resistance caused by low temperature, promoting a smoother and more continuous drilling process, and thus improving the drilling stability index. Through this dynamic adjustment, not only is the vibration of the drill rod and the fluctuation of resistance reduced in the frozen soil environment, but the construction conditions are also optimized to ensure the stability and construction quality of foundation reinforcement operations under severe cold conditions.

[0078] After the drilling pressure is increased, the maximum vibration amplitude of the deep mixing pile machine is monitored by an accelerometer and compared with the defined vibration amplitude stored in the database. If the maximum vibration amplitude of the deep mixing pile machine is greater than the defined vibration amplitude, the optimization of increasing the drilling pressure is canceled. At the same time, based on the mapping relationship between the drilling stability index and the drilling speed reduction coefficient of the deep mixing pile machine stored in the database, the drilling speed reduction coefficient corresponding to the drilling stability index of the deep mixing pile machine is obtained, thereby reducing the drilling speed of the deep mixing pile machine. The defined vibration amplitude represents the maximum allowable vibration amplitude.

[0079] The drilling speed reduction factor refers to the percentage reduction in drilling speed. Multiplying the drilling speed reduction factor by the current drilling speed will reduce the drilling speed of the deep mixing pile machine.

[0080] After the drilling speed is reduced, the drilling stability index of the deep mixing pile machine is updated. If the updated drilling stability index of the deep mixing pile machine is still less than or equal to the drilling stability threshold, a drilling warning is issued and the warning data is uploaded to the engineering monitoring platform for technical personnel to analyze and determine whether the construction strategy needs to be adjusted or the equipment parameters need to be replaced.

[0081] In frigid regions, the alternating freeze-thaw cycles of the soil result in complex and uneven geological structures. Excessive equipment vibration after increased drilling pressure may indicate severe friction or collision between the drilling process and the frozen soil layer, potentially leading to mechanical damage or construction anomalies. To ensure stable operation of the construction equipment and mixing quality, the maximum vibration amplitude of the deep mixing pile machine must be monitored in real time and compared with the safety threshold defined in the database. If the vibration amplitude exceeds the limit, it indicates that the current drilling pressure has exceeded the geological tolerance range, and the pressure optimization strategy should be promptly revoked to avoid equipment damage or uneven mixing. Simultaneously, to further mitigate drilling disturbances, the drilling speed can be reduced to improve the stability of the drilling process and ensure construction safety and quality.

[0082] If the drilling stability index of the updated deep mixing pile machine is greater than the drilling stability threshold, the drilling parameters of the deep mixing pile machine are continuously monitored, and the drilling time of the deep mixing pile machine is updated through the programmable logic controller (PLC). Based on the current drilling speed and pile length requirements, combined with the monitored stable time period, the average drilling time per unit depth is dynamically calculated, and the drilling time of the current working section is updated accordingly to achieve refined control and reasonable scheduling of the subsequent drilling process, thereby improving the consistency and construction efficiency of the mixing pile.

[0083] If the drilling time of the deep mixing pile machine exceeds the preset drilling time limit in the database, a time warning will be issued. The control system will issue an audible and visual alarm signal, a pop-up reminder on the interface, or push the warning information to the remote monitoring platform in real time, prompting the operator that the current drilling operation may have abnormal efficiency or abnormal formation resistance, and that parameter adjustments or manual intervention are required in a timely manner. Conversely, the working status parameters of the deep mixing pile machine will be continuously monitored until the deep mixing pile machine drills to the preset reinforcement depth, and the lifting operation parameters of the deep mixing pile machine will be initialized.

[0084] The drilling time is defined as the maximum allowable drilling time for a deep mixing pile machine.

[0085] The fundamental purpose of duration-based early warning is to ensure the effectiveness of foundation reinforcement construction in frigid regions and the reasonable control of the construction pace. Because frigid regions generally have complex geological conditions such as freezing, low-temperature brittleness, or ice inclusions, an abnormally long drilling time may indicate that the ground freezing density is much higher than conventionally predicted, affecting the cutting of the mixing blades and the diffusion of the slurry; drilling parameters may not be adapted to low-temperature conditions, leading to excessive equipment load and an increased risk of mixing failure; and equipment may experience operational degradation due to low temperatures, such as lag in response and decreased hydraulic efficiency. Therefore, duration-based early warning not only helps determine whether the current mixing efficiency meets the reinforcement design requirements but also provides real-time data on whether adjustments to the mixing ratio, drilling pressure, or changes in construction techniques are needed, thereby ensuring the quality stability and construction safety of foundation treatment in frigid regions.

[0086] It needs to be explained that the initialization process for the lifting operation parameters of the deep mixing pile machine is as follows: when the deep mixing pile machine drills to the preset reinforcement depth, all mixing anomaly indices in each monitoring cycle are statistically analyzed and averaged to obtain the statistical average of the mixing anomaly indices, and the grouting speed and mixing blade rotation speed during the lifting operation are matched from the database.

[0087] The database stores a mapping table of the statistical mean of the mixing anomaly index and the grouting speed during the lifting operation, as well as a mapping table of the statistical mean of the mixing anomaly index and the rotation speed of the mixing blades during the lifting operation. Therefore, the grouting speed and the rotation speed of the mixing blades during the lifting operation can be obtained through the mapping relationship.

[0088] The drilling stability index is statistically analyzed and averaged in each monitoring period to obtain the statistical mean of the drilling stability index. The lifting speed during the lifting operation is then matched from the database to complete the initialization of the lifting operation parameters of the deep mixing pile machine. The database stores a mapping table of the statistical mean of the drilling stability index and the lifting speed, so the lifting speed during the lifting operation can be obtained through the mapping relationship.

[0089] Based on the lifting operation parameters of the deep mixing pile machine, the deep mixing pile machine is driven to start the lifting operation.

[0090] During deep mixing, the drilling stability and the degree of abnormality in mixing behavior of the equipment essentially reflect the coupling state between the equipment and the soil. If frequent fluctuations occur during drilling (poor drilling stability) or uneven slurry diffusion occurs during mixing (large mixing anomaly index), it indicates that the current soil layer has strong resistance to disturbance or significant changes in physical and mechanical properties. It is necessary to adjust the subsequent lifting parameters to enhance the uniformity and compaction of the pile body.

[0091] Figure 5 This is a flowchart of drilling status analysis and dynamic adjustment provided in this embodiment of the invention. It analyzes drilling parameters, calculates a drilling stability index, and determines whether the drilling stability index is less than or equal to a drilling stability threshold. If the drilling stability index is greater than the drilling stability threshold, the drilling parameters are continuously analyzed. If the drilling stability index is less than or equal to the drilling stability threshold, the drilling pressure is increased, and the maximum vibration amplitude during drilling is monitored. If the vibration amplitude exceeds a defined vibration amplitude, the pressure increase measure is canceled and the drilling speed is reduced, and the drilling stability index is recalculated. If the drilling stability index still does not meet the standard, a drilling warning is issued. If the drilling stability index gradually improves and exceeds the drilling stability threshold, the drilling parameters are continuously analyzed until the drilling stage is completed. If the vibration amplitude does not exceed a defined vibration amplitude, the drilling stability index is directly updated. If the updated drilling stability index is greater than the drilling stability threshold, the drilling parameters are continuously analyzed. If the updated drilling stability index is less than or equal to the drilling stability threshold, a drilling warning is issued.

[0092] Specifically, the correspondence between the initial bearing capacity value and the reinforcement parameters is updated. The specific update process is as follows: the unconfined compressive strength of the improved soft soil foundation in the frigid region is compared with the target unconfined compressive strength preset by relevant technical personnel; the unconfined compressive strength of the improved soft soil foundation in the frigid region is obtained by the staff through uploading.

[0093] If the unconfined compressive strength of the improved soft soil foundation in a frigid region is greater than or equal to the target unconfined compressive strength, there is no need to update the correspondence between the initial bearing capacity value and the reinforcement parameters. If the unconfined compressive strength of the improved soft soil foundation in a frigid region is less than the target unconfined compressive strength, an early warning is issued for the mapping relationship. This prompts the system to re-collect the mapping relationship between the initial bearing capacity value of the foundation and the length, diameter, and depth of the reinforcement piles, and update the correspondence between the initial bearing capacity value and the reinforcement parameters. Specifically, the system generates a re-collection instruction, prompting relevant technical personnel to re-upload the mapping relationship between the initial bearing capacity value of the foundation and the length, diameter, and depth of the reinforcement piles, and upload the collection results to the database to update the mapping relationship between the initial bearing capacity value and the reinforcement parameters.

[0094] Figure 6 This is a flowchart of the lifting operation and improvement effect evaluation provided in this embodiment of the invention. After drilling reaches the preset reinforcement depth, the system calculates the average values ​​of the mixing anomaly index and the drilling stability index, and matches the grouting speed, mixing blade rotation speed, and lifting operation speed accordingly. Then, the lifting operation parameters are initialized and the lifting operation process is started. After the operation is completed, the system archives relevant sensor data and optimization records, and obtains the unconfined compressive strength of the improved foundation. If the unconfined compressive strength is lower than the corresponding target value, an early warning is issued and environmental parameters are re-collected to update the mapping relationship between bearing capacity and reinforcement parameters; if the unconfined compressive strength is greater than or equal to the corresponding target value, the process ends.

[0095] Figure 2 This is a schematic diagram of a soft soil foundation reinforcement device provided in an embodiment of the present invention. Optionally, the soft soil foundation reinforcement device may include a first processor 2001.

[0096] Optionally, the soft soil foundation reinforcement treatment device may also include a memory 2002 and a transceiver 2003.

[0097] The first processor 2001, memory 2002, and transceiver 2003 can be connected via a communication bus.

[0098] The following is combined Figure 2 A detailed introduction to each component of the soft soil foundation reinforcement equipment:

[0099] The first processor 2001 is the control center of the soft soil foundation reinforcement equipment. It can be a single processor or a collective term for multiple processing elements. For example, the first processor 2001 can be one or more central processing units (CPUs), application-specific integrated circuits (ASICs), or one or more integrated circuits configured to implement embodiments of the present invention, such as one or more digital signal processors (DSPs), or one or more field-programmable gate arrays (FPGAs).

[0100] Optionally, the first processor 2001 can perform various functions of the soft soil foundation reinforcement treatment device by running or executing software programs stored in the memory 2002 and calling data stored in the memory 2002.

[0101] In a specific implementation, as one example, the first processor 2001 may include one or more CPUs, for example... Figure 2 CPU0 and CPU1 are shown in the diagram.

[0102] In a specific implementation, as one example, the soft soil foundation reinforcement device may also include multiple processors, for example... Figure 2 The first processor 2001 and the second processor 2004 are shown in the diagram. Each of these processors can be a single-core processor (single-CPU) or a multi-core processor (multi-CPU). Here, "processor" can refer to one or more devices, circuits, and / or processing cores used to process data (e.g., computer program instructions).

[0103] The memory 2002 is used to store the software program that executes the present invention, and is controlled by the first processor 2001 to execute it. The specific implementation method can be referred to the above method embodiment, and will not be repeated here.

[0104] Optionally, the memory 2002 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto. The memory 2002 may be integrated with the first processor 2001 or may exist independently, and may be connected via the interface circuit of the soft soil foundation reinforced processing device (…). Figure 2 (Not shown in the figure) is coupled to the first processor 2001, and the embodiments of the present invention do not specifically limit this.

[0105] The transceiver 2003 is used to communicate with network devices or with terminal devices.

[0106] Alternatively, transceiver 2003 may include a receiver and a transmitter. Figure 2 (Not shown separately). The receiver is used to implement the receiving function, and the transmitter is used to implement the sending function.

[0107] Optionally, the transceiver 2003 can be integrated with the first processor 2001, or it can exist independently and be connected to the interface circuit of the soft soil foundation reinforcement processing device. Figure 2 (Not shown in the figure) is coupled to the first processor 2001, and the embodiments of the present invention do not specifically limit this.

[0108] It should be noted that, Figure 2 The structure of the soft soil foundation reinforcement device shown does not constitute a limitation on the router. The actual knowledge structure identification device may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0109] Furthermore, the technical effects of the soft soil foundation reinforcement treatment equipment can be referenced from the technical effects of a reinforcement treatment method for soft soil foundations in frigid regions described in the above method embodiments, which will not be elaborated here.

[0110] Figure 7This is a monitoring interface diagram of the deep mixing machine provided in this embodiment of the invention, which is used to display the key operating parameters of the deep mixing pile machine in real time during the operation process, including information such as operating status, blade rotation speed and drilling speed; Figure 8 This is a monitoring interface diagram of the grouting pump station provided in this embodiment of the invention, used to display the real-time operating data of the grouting pump station, such as grouting pressure and grouting flow rate. The two interfaces centrally display the core parameters of the equipment involved in the soft soil foundation reinforcement process, providing intuitive data support for on-site management personnel. This facilitates construction workers in real-time monitoring of equipment operating status, timely detection of abnormalities, and thus enables effective monitoring and adjustment of the construction process.

[0111] It should be understood that the first processor 2001 in the embodiments of the present invention may be a central processing unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0112] It should also be understood that the memory in the embodiments of the present invention can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDR SDRAM), enhanced synchronous DRAM (ESDRAM), synchronous linked DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0113] The above embodiments can be implemented, in whole or in part, by software, hardware (such as circuits), firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the flow or function according to the embodiments of the present invention is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., infrared, wireless, microwave, etc.) means. A computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. Available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. Semiconductor media can be solid-state drives.

[0114] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0115] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the devices, apparatuses, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0116] In the several embodiments provided by this invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0117] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for reinforcing soft soil foundations in frigid regions, characterized in that, The method includes: Step 1: Use multi-source sensors to obtain the freezing moisture content and soil type of the soft soil construction area in the frigid region, and map the initial value of the bearing capacity of the soft soil foundation in the frigid region to initialize the reinforcement parameters of the soft soil foundation. Step 2: Based on the reinforcement parameters of the soft soil foundation, set the operating parameters of the deep mixing pile machine, obtain the ambient temperature of the frigid region to optimize the operating parameters of the deep mixing pile machine, release the operation start signal of the deep mixing pile machine to reinforce the soft soil foundation in the frigid region, monitor the working status parameters of the deep mixing pile machine, and thus optimize the reinforcement operation process of the deep mixing pile machine. Step 3: After the reinforcement work is completed, all sensor data and optimization records on the deep mixing pile machine are automatically archived to obtain the unconfined compressive strength of the improved soft soil foundation in frigid regions, thereby updating the correspondence between the initial bearing capacity value and the reinforcement parameters.

2. The method for reinforcing soft soil foundations in frigid regions according to claim 1, characterized in that, The initialization process for the reinforcement parameters of the soft soil foundation is as follows: The freezing moisture content and soil type of the soft soil construction area in the frigid region are integrated into a set of soil parameters for the soft soil construction area. Similarity analysis is performed on these parameters with the sets of soil parameters stored in the database. The similarity scores are sorted in descending order, and the soil parameter set corresponding to the highest similarity score is extracted and marked as the reference soil parameter set. The initial bearing capacity value of the reference soil parameter set is obtained and thus marked as the initial bearing capacity value of the soft soil foundation in the frigid region. The reinforcement parameters for soft soil foundations include the length, diameter, and depth of the reinforcement piles. Based on the mapping relationships stored in the database, the length, diameter, and depth of the reinforcement piles for soft soil foundations are obtained. The mapping relationship refers to the mapping relationship between the initial value of the bearing capacity of the soft soil foundation and the length, diameter and depth of the reinforcement piles of the soft soil foundation.

3. The method for reinforcing soft soil foundations in frigid regions according to claim 1, characterized in that, The process of optimizing the operating parameters of the deep mixing pile machine by obtaining the ambient temperature of the frigid region is as follows: The rotation speed of the mixing blades in the operating parameters of the deep mixing pile machine is obtained and compared with the mapping table of ambient temperature and mixing blade rotation speed stored in the database to obtain the ambient temperature corresponding to the mixing blade rotation speed, which is marked as the reference ambient temperature. The ambient temperature in the frigid region is compared with the reference ambient temperature. If the preset effective conditions exist, the rotation speed of the mixing blades of the deep mixing pile machine will not be optimized. If no valid conditions exist, the rotation speed of the mixing blades in the operating parameters of the deep mixing pile machine will be optimized to meet the preset valid conditions. The valid conditions refer to the fact that the ambient temperature in the frigid region and the reference ambient temperature belong to the same temperature range stored in the database.

4. The method for reinforcing soft soil foundations in frigid regions according to claim 1, characterized in that, The specific parameters for monitoring the working status of the deep mixing pile machine include: The working parameters of the deep mixing pile machine include the mixing parameters and the drilling parameters of the deep mixing pile machine. During the monitoring sub-cycle, the mixing parameters of the deep mixing pile machine are monitored; By analyzing the mixing parameters of the deep mixing pile machine, the mixing anomaly index of the deep mixing pile machine is obtained and compared with the mixing anomaly threshold, so as to optimize the mixing process of the deep mixing pile machine in the reinforcement operation in the next monitoring sub-cycle. The mixing parameters of the deep mixing pile machine include the mixing torque, the speed fluctuation value, and the mixing energy consumption of the deep mixing pile machine. The influence of the proportional components of mixing torque, speed fluctuation, and mixing energy consumption on the mixing anomaly index is quantified by contribution measurement values. The influence of each component is then summarized to obtain the mixing anomaly index of the deep mixing pile machine. The mixing torque proportional component refers to the ratio between the mixing torque of the deep mixing pile machine and the defined mixing torque stored in the database; The speed fluctuation value ratio component refers to the ratio between the speed fluctuation value of the deep mixing pile machine and the defined speed fluctuation value stored in the database; The mixing energy consumption ratio component refers to the ratio between the mixing energy consumption of the deep mixing pile machine and the defined mixing energy consumption stored in the database. The mixing anomaly index of a deep mixing pile machine is used to reflect the degree of anomaly that occurs at the mixing layer of the deep mixing pile machine.

5. A method for reinforcing soft soil foundations in frigid regions according to claim 4, characterized in that, The optimization process of the deep mixing pile machine during the reinforcement operation in the next monitoring sub-cycle is as follows: If the mixing anomaly index of the deep mixing pile machine is less than or equal to the mixing anomaly threshold, the mixing process of the deep mixing pile machine during the reinforcement operation will not be optimized in the next monitoring sub-cycle. If the mixing anomaly index of the deep mixing pile machine is greater than the mixing anomaly threshold, then based on the mapping relationship between the mixing anomaly index and the reduction coefficient of the mixing blade rotation speed stored in the database, the reduction coefficient of the mixing blade rotation speed corresponding to the mixing anomaly index of the deep mixing pile machine is obtained, thereby reducing the rotation speed of the mixing blade of the deep mixing pile machine in the next monitoring sub-cycle. After the reduction is completed, the mixing abnormality index of the deep mixing pile machine is updated. If the updated mixing abnormality index of the deep mixing pile machine is still greater than the mixing abnormality threshold, a mixing warning is issued. If the updated mixing abnormality index of the deep mixing pile machine is less than or equal to the mixing abnormality threshold, the mixing parameters of the deep mixing pile machine are continuously monitored. A monitoring cycle is formed by setting a number of monitoring sub-cycles. The drilling parameters of the deep mixing pile machine within the monitoring cycle are analyzed, thereby optimizing the drilling process of the deep mixing pile machine in the reinforcement operation in the next monitoring cycle.

6. A method for reinforcing soft soil foundations in frigid regions according to claim 5, characterized in that, The drilling parameters of the deep mixing pile machine during the analysis and monitoring period are analyzed in the following specific process: The drilling parameters of the deep mixing pile machine include the average drilling time per unit depth, the average drilling resistance value, and the average amplitude of drill rod vibration. The mixing anomaly indices of the deep mixing pile machine during the monitoring period are statistically analyzed and averaged to obtain the average mixing anomaly index of the deep mixing pile machine. The drilling stability index correction coefficient is then matched from the database. The influence of the proportion of average drilling time per unit depth, the proportion of average drilling resistance, and the proportion of average drill rod vibration amplitude on the drilling stability index is quantified by contribution metrics. The influence of each factor is coupled to obtain the drilling stability index of the deep mixing pile machine. The average drilling time per unit depth proportional component represents the ratio between the average drilling time per unit depth of the deep mixing pile machine and the defined average drilling time per unit depth stored in the database. The proportional component of the average drilling resistance value represents the ratio between the average drilling resistance value of the deep mixing pile machine and the defined average drilling resistance value stored in the database. The proportional component of the average amplitude of drill rod vibration represents the ratio between the average amplitude of drill rod vibration of the deep mixing pile machine and the defined average amplitude of drill rod vibration stored in the database. The drilling stability index of the deep mixing pile machine indicates the stability of the deep mixing pile machine at the drilling level. The drilling stability index correction coefficient is multiplied by the drilling stability index of the deep mixing pile machine, and the result is the corrected drilling stability index of the deep mixing pile machine, thereby updating the drilling stability index of the deep mixing pile machine.

7. A method for reinforcing soft soil foundations in frigid regions according to claim 5, characterized in that, The drilling process of the deep mixing pile machine during the reinforcement operation in the next monitoring cycle is optimized. The specific optimization process is as follows: The drilling stability index of the deep mixing pile machine is compared with the drilling stability threshold stored in the database. If the drilling stability index of the deep mixing pile machine is greater than the drilling stability threshold, the drilling process of the deep mixing pile machine in the reinforcement operation will not be optimized in the next monitoring cycle. If the drilling stability index of the deep mixing pile machine is less than or equal to the drilling stability threshold, the drilling pressure increase coefficient corresponding to the drilling stability index of the deep mixing pile machine is obtained based on the mapping relationship between the drilling stability index and the drilling pressure increase coefficient of the deep mixing pile machine stored in the database, thereby increasing the drilling pressure of the deep mixing pile machine in the next monitoring cycle. After the drilling pressure is increased, the maximum vibration amplitude of the deep mixing pile machine is monitored and compared with the defined vibration amplitude stored in the database. If the maximum vibration amplitude of the deep mixing pile machine is greater than the defined vibration amplitude, the optimization of increasing the drilling pressure is cancelled. At the same time, based on the mapping relationship between the drilling stability index and the drilling speed reduction coefficient of the deep mixing pile machine stored in the database, the drilling speed reduction coefficient corresponding to the drilling stability index of the deep mixing pile machine is obtained, thereby reducing the drilling speed of the deep mixing pile machine. After the drilling speed is reduced, the drilling stability index of the deep mixing pile machine is updated. If the updated drilling stability index of the deep mixing pile machine is still less than or equal to the drilling stability threshold, a drilling warning is issued. If the drilling stability index of the updated deep mixing pile machine is greater than the drilling stability threshold, the drilling parameters of the deep mixing pile machine will be continuously monitored, and the drilling time of the deep mixing pile machine will be updated. If the drilling time of the deep mixing pile machine exceeds the preset drilling time limit in the database, a time warning will be issued; otherwise, the working status parameters of the deep mixing pile machine will be continuously monitored until the deep mixing pile machine drills to the preset reinforcement depth, and the lifting operation parameters of the deep mixing pile machine will be initialized.

8. A method for reinforcing soft soil foundations in frigid regions according to claim 7, characterized in that, The initialization process for the lifting operation parameters of the deep mixing pile machine is as follows: When the deep mixing pile machine drills to the preset reinforcement depth, all mixing abnormality indices in each monitoring period are statistically analyzed and averaged to obtain the statistical average of the mixing abnormality index. The grouting speed and mixing blade rotation speed during the lifting operation are matched from the database. The drilling stability index within each monitoring period is statistically analyzed and averaged to obtain the statistical mean of the drilling stability index. The lifting speed during the lifting operation is then matched from the database to complete the initialization of the lifting operation parameters of the deep mixing pile machine. Based on the lifting operation parameters of the deep mixing pile machine, the deep mixing pile machine is driven to start the lifting operation.

9. A method for reinforcing soft soil foundations in frigid regions according to claim 1, characterized in that, The specific update process for the correspondence between the initial value of the updated bearing capacity and the reinforcement parameters is as follows: The unconfined compressive strength of improved soft soil foundation in frigid regions was compared with the preset target unconfined compressive strength. If the unconfined compressive strength of the improved soft soil foundation in a frigid region is greater than or equal to the target unconfined compressive strength, then there is no need to update the correspondence between the initial bearing capacity value and the reinforcement parameters. If the unconfined compressive strength of the improved soft soil foundation in a frigid region is less than the target unconfined compressive strength, an early warning is issued regarding the mapping relationship. This leads to the re-collection of the mapping relationship between the initial value of the foundation bearing capacity and the length, diameter, and depth of the reinforcing piles, and the updating of the correspondence between the initial value of the bearing capacity and the reinforcing parameters.

10. A soft soil foundation reinforcement treatment device, characterized in that, The soft soil foundation reinforcement equipment includes: processor; A memory storing computer-readable instructions, which, when executed by the processor, implement the reinforcement treatment method for soft soil foundations in frigid regions as described in any one of claims 1 to 9.

Images