Construction method of cohesive soil deep cement-soil mixing pile

Abstract

The invention belongs to the field of construction control, and particularly relates to a construction method of a cohesive soil deep cement-soil mixing pile, which comprises the following steps: S1, obtaining a size model of the cement-soil mixing pile; s2, acquiring a batching model corresponding to a plurality of batching parameters; s3, establishing a plurality of cement-soil mixing pile models; s4, a cement-soil mixing pile model with the strength reaching the standard is obtained; s5, inputting the cost data corresponding to the cement-soil mixing pile model reaching the standard into the service system; s6, obtaining an optimal batching model; and S7, the resistivity value of the optimal batching model is input into a service system and stored as a resistivity threshold value, the output quantity of batching is adjusted in real time according to a comparison result, and finally the lowest-cost cement-soil mixing pile meeting the requirement is obtained. According to the method, the cost of the formed mixing pile is optimal on the premise of meeting the strength requirement, and the construction cost is effectively controlled.

Description

Technical Field

[0001] The invention relates to the technical field of construction control, and in particular to a construction method for deep-sunken cement-soil mixing piles in clay soil. Background Art

[0002] In recent years, with the large-scale construction of expressways, the soft foundation problems encountered in the project have become more and more, and have become one of the key factors affecting the quality, cycle and cost of the project. Among the soft foundation treatment methods, the application of cement soil mixing pile technology is extremely extensive, especially in the treatment of soft soil foundation in highway projects. This construction technology can effectively change and improve the strength and bearing capacity of the foundation, and ensure the construction quality of engineering projects in soft soil foundation areas. In the process of cement soil mixing pile molding, the cost difference of different material ratios is often large, which makes it difficult for the construction party to optimize the construction cost of the mixing pile project. Summary of the invention

[0003] The purpose of the present invention is to provide a construction method for deep-sunken cement-soil mixing piles in clay soil. The staff adjusts the delivery amount of the ingredients in real time according to the resistivity value of the cement-soil mixing piles in actual conditions, so that the resistivity value of the mixing piles matches the resistivity threshold value corresponding to the optimal batching model, thereby ensuring that the formed mixing piles have the best cost while meeting the strength requirements, and effectively controlling the construction cost.

[0004] In order to solve the above technical problems, the present invention adopts the following solutions: A construction method for deep-sinking cement-soil mixing piles in clay soil, the method comprising the following steps: Step S1: inputting the size parameters of the cement soil mixing pile into the service system, and obtaining the size model of the cement soil mixing pile according to the size parameters of the cement soil mixing pile; Step S2: input multiple batching parameters of the cement soil mixing pile into the service system, and obtain a batching model corresponding to the size model according to the multiple batching parameters; Step S3: inputting the strength data corresponding to different batching models into the service system respectively, and establishing a plurality of cement-soil mixing pile models according to the strength data and size models corresponding to the different batching models; Step S4: running the service system, and judging whether the operation results of multiple cement-soil mixing pile models meet the standard according to the comparison result of the strength value corresponding to the cement-soil mixing pile model and the strength threshold value, and meeting the standard if the strength value is not less than the preset strength threshold value, and saving all cement-soil mixing pile models that meet the standard and the corresponding batching models; Step S5: inputting the cost data corresponding to all qualified cement soil mixing pile models into the service system; Step S6: comparing the values ​​of the cost data corresponding to all qualified cement-soil mixing pile models, selecting the cement-soil mixing pile model corresponding to the cost data of the minimum value, and determining the batching model corresponding to the selected cement-soil mixing pile model as the optimal batching model; Step S7: input the resistivity value of the optimal batching model into the service system and save it as the resistivity threshold, collect the resistivity value in real time and input it into the service system for comparison with the resistivity threshold, and the service system adjusts the output of the feeding equipment for different ingredients in real time according to the comparison result until the collected resistivity value matches the resistivity threshold, and finally obtains the lowest cost cement soil mixing pile that meets the requirements.

[0005] In this scheme, the size parameters are first input and the size model is generated to ensure the accuracy of the model in the subsequent steps; then the batching parameters are input and the batching model is generated. The selection and proportion of the ingredients are crucial to the performance of the final product. Based on the existing data and experience, the optimal batching ratio is recommended to reduce the number of manual attempts; then the strength data is input and multiple cement soil mixing pile models are established; by running the service system and judging whether the model meets the standard, the model that meets the requirements can be screened out by comparing the strength value and the strength threshold, and the model data that does not meet the standard can be directly deleted in the system; then the cost data is input, and the service system selects the cement soil mixing pile model with the lowest cost and meets the standard. Finally, the collected resistivity value is input and the delivery amount of the ingredients is adjusted in real time. A closed-loop control system is introduced to automatically adjust the batching ratio according to the real-time collected resistivity value until it matches the resistivity threshold. At this time, the batching ratio is the most cost-effective and the strength meets the requirements, ensuring that the formed mixing pile has the best cost while meeting the strength requirements, and effectively controlling the construction cost.

[0006] This method combines advanced digital technology and intelligent algorithms, which can significantly improve the construction efficiency and product quality of cement-soil mixing piles. By continuously optimizing each step, it can further reduce costs, improve cost-effectiveness, and provide stronger support for engineering applications. At the same time, this method also demonstrates the huge potential of digitalization and intelligence in the field of civil engineering.

[0007] Optionally, the ingredients in the batching parameters are cement and soil or cement slurry and soil, sand, and the parameters are the ratio of cement slurry to soil or the ratio of cement slurry, soil, and sand.

[0008] Optionally, before inputting the batching parameters, first input the cement slurry and soil ratio data into the service system, and obtain the sample model 1 after the cement slurry and soil are evenly mixed, then input the cement slurry and soil ratio data after adding sand into the service system, and obtain the sample model 2 after the cement slurry, soil and sand are evenly mixed, run the service system, and compare to find that the strength value of sample model 1 is less than the strength value of sample model 2, and determine that the ingredients in the batching parameters are cement slurry, soil and sand.

[0009] Optionally, after determining that the ingredients in the batching parameters are cement slurry, soil and sand, the soil layer data, drill bit size data and drill bit drilling data are input into the service system to obtain the soil production per unit time or unit length. The service system controls the working state of the drill bit and changes the soil production based on the comparison result of the resistivity value collected in real time and the resistivity threshold, thereby adjusting the real-time resistivity value.

[0010] Optionally, the ratio data of cement slurry and soil in the sample model 1 is the same as the ratio data of cement slurry and soil in the sample model 2.

[0011] Optionally, the service system simulates the experimental press to gradually apply force to the sample model 1 and the sample model 2, respectively, so that the sample model 1 breaks first, and then it is concluded that the strength value of the sample model 1 is less than the strength value of the sample model 2.

[0012] Optionally, the cost data includes ingredient cost data, labor cost data, and equipment transportation and operation cost data.

[0013] Optionally, the batching parameters in the optimal batching model can be input into the service system, and combined with the strength data of the optimal batching model to obtain a stirring data model, wherein the stirring data in the stirring data model includes stirring times and rotating rod speed.

[0014] The present invention has the beneficial effects: The present invention combines advanced digital technology and intelligent algorithms, which can significantly improve the construction efficiency and product quality of cement-soil mixing piles. By continuously optimizing each step, the cost can be further reduced, the cost performance can be improved, and more powerful support can be provided for engineering applications. At the same time, the method also demonstrates the great potential of digitalization and intelligence in the field of civil engineering. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 is a flow chart of the present invention; Figure 2 It is a control block diagram of the present invention. DETAILED DESCRIPTION

[0016] The present invention will be further described in detail below in conjunction with embodiments and drawings, but the embodiments of the present invention are not limited thereto.

[0017] In the description of the present invention, it should be noted that the terms "center", "up", "down", "left", "right", "vertical", "longitudinal", "lateral", "horizontal", "inside", "outside", "front", "back", "top", "bottom" and the like indicate directions or positional relationships based on the directions or positional relationships shown in the accompanying drawings, or are the directions or positional relationships in which the inventive product is usually placed when used. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore should not be understood as a limitation on the present invention.

[0018] In the description of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "disposed", "opened", "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances. Example

[0019] A construction method for deep-sinking cement-soil mixing piles in clay soil, the method comprising the following steps: Step S1: inputting the size parameters of the cement soil mixing pile into the service system, and obtaining the size model of the cement soil mixing pile according to the size parameters of the cement soil mixing pile; Step S2: input multiple batching parameters of the cement soil mixing pile into the service system, and obtain a batching model corresponding to the size model according to the multiple batching parameters; Step S3: inputting the strength data corresponding to different batching models into the service system respectively, and establishing a plurality of cement-soil mixing pile models according to the strength data and size models corresponding to the different batching models; Step S4: running the service system, and judging whether the operation results of multiple cement-soil mixing pile models meet the standard according to the comparison result of the strength value corresponding to the cement-soil mixing pile model and the strength threshold value, and meeting the standard if the strength value is not less than the preset strength threshold value, and saving all cement-soil mixing pile models that meet the standard and the corresponding batching models; Step S5: inputting the cost data corresponding to all qualified cement soil mixing pile models into the service system; Step S6: comparing the values ​​of the cost data corresponding to all qualified cement-soil mixing pile models, selecting the cement-soil mixing pile model corresponding to the cost data of the minimum value, and determining the batching model corresponding to the selected cement-soil mixing pile model as the optimal batching model; Step S7: input the resistivity value of the optimal batching model into the service system and save it as the resistivity threshold, collect the resistivity value in real time and input it into the service system for comparison with the resistivity threshold, and the service system adjusts the output of the feeding equipment for different ingredients in real time according to the comparison result until the collected resistivity value matches the resistivity threshold, and finally obtains the lowest cost cement soil mixing pile that meets the requirements.

[0020] In this embodiment, Figure 1 As shown in the figure, first input the size parameters and generate the size model to ensure the accuracy of the model in the subsequent steps. The size data can be known according to the actual cement soil mixing pile requirements; then input the batching parameters and generate the batching model. The selection and proportion of the ingredients are crucial to the performance of the final product. According to the existing data and experience, the optimal batching ratio is recommended to reduce the number of manual attempts; then input the strength data and establish multiple cement soil mixing pile models; by running the service system and judging whether the model meets the standard, by comparing the strength value and the strength threshold, the strength threshold and the resistivity threshold are stored in the storage module of the service system, and the model that meets the strength requirements can be screened out. The model data that does not meet the standard can be directly deleted in the system; then input the cost data, and the service system selects the cement soil mixing pile model with the lowest cost and the strength that meets the standard. Finally, input the resistivity value collected during the construction process and adjust the delivery amount of the ingredients in real time. The resistivity value can be obtained by the resistivity detection sensor on the rotating rod, such as Figure 2 As shown, a closed-loop control system is introduced to automatically adjust the proportion of ingredients according to the resistivity value collected in real time until it matches the resistivity threshold. At this time, the proportion of ingredients is cost-optimal and the strength meets the requirements, ensuring that the formed cement-soil mixing piles have the best cost while meeting the strength requirements, effectively controlling the construction cost.

[0021] This method combines advanced digital technology and intelligent algorithms, which can significantly improve the construction efficiency and product quality of cement-soil mixing piles. By continuously optimizing each step, it can further reduce costs, improve cost-effectiveness, and provide stronger support for engineering applications. At the same time, this method also demonstrates the huge potential of digitalization and intelligence in the field of civil engineering.

[0022] Furthermore, the ingredients in the batching parameters are cement and soil or cement slurry and soil, sand, and the parameters are the ratio of cement slurry to soil or the ratio of cement slurry, soil, and sand.

[0023] Specifically, the common ingredients of cement-soil mixing piles are cement slurry and soil. Cement slurry is used as a curing agent and can form a solidified soil body with a certain strength after mixing with soil. Sand is added as an aggregate to the combination of cement slurry, soil and sand. The addition of sand will change the overall performance of the mixture, such as changing the porosity and mixing uniformity of the mixture. Sand can fill the gaps, reduce the porosity of the mixture, increase the density of the mixture, and enhance the strength in the later stage. At the same time, sand can also make the cement slurry and soil mix more evenly, so that the quality of the mixing pile formed in the later stage is better. In the construction preparation stage, these ingredient ratios need to be accurately input into the service system in order to generate the corresponding ingredient model and cement-soil mixing pile model. Before the formal construction, small-scale experiments can be used to verify the effects of different ingredient ratios on the performance of cement soil, so as to select the best ingredient combination. The service system can integrate intelligent algorithms to automatically recommend the optimal ingredient combination based on the input soil properties, required strength and other conditions. During the construction process, the performance indicators of cement soil (such as strength, resistivity, etc.) can be monitored in real time, and the ingredient ratio can be adjusted in real time according to the monitoring results to ensure the quality and performance of the final product.

[0024] Furthermore, before inputting the batching parameters, the cement slurry and soil ratio data are first input into the service system, and the sample model 1 after the cement slurry and soil are evenly mixed is obtained. Then, the ratio data of the cement slurry and soil after adding sand is input into the service system, and the sample model 2 after the cement slurry, soil and sand are evenly mixed is obtained. The service system is run, and the comparison shows that the strength value of the sample model 1 is less than the strength value of the sample model 2, and the ingredients in the batching parameters are determined to be cement slurry, soil and sand.

[0025] Specifically, in order to select the best ingredient combination, the ratio data of cement slurry and soil is input into the service system. This is the basis for constructing sample model one. According to the input ratio, the service system can simulate sample model one after cement slurry and soil are evenly mixed. Next, input the ratio data containing sand, that is, the ratio of cement slurry, soil and sand. According to this ratio, the service system simulates sample model two after cement slurry, soil and sand are evenly mixed. Start the service system, perform strength calculation or simulation test on the two sample models, and the service system outputs the strength values ​​of sample model one and sample model two. By comparing the strength values ​​of the two models, it is found that the strength value of sample model one is less than the strength value of sample model two. Based on the comparison result of the strength values, it is determined that the ingredients in the batching parameters are cement slurry, soil and sand.

[0026] Furthermore, after determining that the ingredients in the batching parameters are cement slurry, soil and sand, the soil layer data, drill bit size data and drill bit drilling data are input into the service system to obtain the soil production per unit time or unit length. The service system controls the working state of the drill bit and changes the soil production based on the comparison result of the resistivity value collected in real time and the resistivity threshold, thereby adjusting the real-time resistivity value.

[0027] Specifically, the batching parameters have been determined to be cement slurry, soil and sand. The amount of cement slurry can be obtained through the pumping volume of the pump, and the amount of sand can also be directly obtained through the conveyor belt or other conveying equipment. The amount of soil in the mixing pile comes from the amount of soil drilled out during the drilling process of the drill bit. The soil layer data can be directly obtained through on-site surveys, and the drill bit size data can also be known at the factory, mainly including the diameter and length of the drill bit. These parameters affect the drilling efficiency and soil production of the drill bit. The drilling data includes drilling speed, drilling depth, etc. These data are used to evaluate the working status and efficiency of the drill bit. The drilling data can be displayed on the drilling equipment. Soil production per unit time or unit length: Based on the input soil layer data, drill bit size and drilling data, the service system can calculate the soil production per unit time or unit length. During the construction process, the resistivity value of the cement soil mixing pile is collected in real time. The resistivity value is an important indicator for evaluating the degree of solidification and strength of cement soil. The real-time collected resistivity value is compared with the preset resistivity threshold. The resistivity threshold is pre-set according to the construction requirements and soil conditions. According to the comparison results of the resistivity value, the service system automatically adjusts the working state of the drill bit. If the resistivity value is lower than the threshold, it may mean that the cement soil is insufficiently solidified. At this time, the soil production can be increased or the drilling speed can be adjusted to increase the resistivity value; if the resistivity value is higher than the threshold, it may mean that the cement soil is too hardened. At this time, the soil production can be reduced or the drilling speed can be reduced to reduce the resistivity value.

[0028] The soil production is adjusted in real time by adjusting the drilling speed, rotation speed or output of the drill bit, etc., to maintain the resistivity value within the predetermined threshold range. During the construction process, the service system continuously collects and analyzes data to evaluate the construction effect and optimize the batching parameters and working parameters, including fine-tuning the batching ratio, drill bit size and drilling speed according to the changes in the real-time resistivity value and soil production.

[0029] By combining batching parameters, soil layer data, drill bit size and drilling data, and real-time resistivity monitoring, the service system can automatically adjust the working status of the drill bit and soil production to maintain the resistivity value within the predetermined threshold range. This highly automated construction method not only improves construction efficiency and quality, but also reduces the cost and risk of manual intervention.

[0030] Furthermore, the ratio data of cement slurry and soil in the sample model 1 is the same as the ratio data of cement slurry and soil in the sample model 2.

[0031] Specifically, the cement slurry to soil ratio data in sample model 1 and sample model 2 are the same, which constitutes the basic mix ratio of the two models. This basic mix ratio provides a stable reference system for evaluating the impact of sand addition. Sample model 2 is based on the basic mix ratio, and sand is added to form a ternary mix ratio of cement slurry, soil and sand. The addition of sand may change the particle grading, pore structure and curing characteristics of the mixture, thereby affecting its strength and other properties. The addition of sand may improve the density and strength of the mixture by filling pores and increasing the mechanical bite between particles. Based on the comparison results of strength values, the ingredients in the mix parameters have been determined to be cement slurry, soil and sand. This choice is intended to improve the performance of cement soil mixing piles by adding sand. The cement slurry to soil ratio data in sample model 1 and sample model 2 are the same, but the addition of sand significantly improves the strength value of sample model 2. This finding provides important guidance for optimizing the mix parameters of cement soil mixing piles. By further adjusting the mix ratio scheme and conducting experimental verification, the optimal mix combination can be determined to meet specific construction needs and performance requirements.

[0032] Furthermore, the service system simulates the experimental press machine to gradually apply force to the sample model 1 and the sample model 2, respectively, and it is found that the sample model 1 is broken first, and then it is found that the strength value of the sample model 1 is less than the strength value of the sample model 2.

[0033] Specifically, the sample model 1 and the sample model 2 are prepared according to preset batching parameters, respectively. During the preparation process, the consistency of size, shape and preparation conditions of these samples should be ensured so as to make an accurate comparison.

[0034] Place the sample model 1 and the sample model 2 on the test platform of the experimental press respectively, and adjust the parameters of the press to ensure that the force can be applied gradually and the response of the sample during the force process can be recorded. Start the press and begin to apply gradually increasing force to the sample. When the sample breaks, record the force value at this time as the strength value of the sample. During the experiment, observe the breakage of the sample model 1 and the sample model 2. Note that the sample model 1 breaks first, which indicates that it reaches the ultimate strength under a smaller force. According to the experimental records, the strength value of the sample model 1 is less than that of the sample model 2.

[0035] Furthermore, the cost data includes ingredient cost data, labor cost data, and equipment transportation and operation cost data.

[0036] Furthermore, the batching parameters in the optimal batching model can be input into the service system, and the stirring data model can be obtained by combining the strength data of the optimal batching model. The stirring data in the stirring data model includes the number of stirring times and the rotating speed of the rotating rod.

[0037] Specifically, Figure 2 As shown in the figure, the optimal batching parameters, including the ratio of cement paste, soil and sand, have been determined through experimental verification and data analysis. These batching parameters have been proven in previous experiments to produce higher strength values ​​and meet construction requirements. The batching parameters in the optimal batching model are input into the service system. The service system calculates the optimal mixing data, including the number of mixing times and the rotating rod speed, based on these batching parameters and known strength data through algorithms or models. The number of mixing times refers to the number of times the mixture is stirred during the mixing process. The appropriate number of mixing times can ensure that the various components in the mixture are fully mixed to form a uniform mixture. Too many mixing times may cause the mixture to be over-mixed and affect performance; while too few mixing times may cause the mixture to be mixed unevenly; the rotating rod speed refers to the rotation speed of the mixing rod in the mixing equipment. Appropriate rotating rod speed can ensure that the mixture is subjected to sufficient shear force and mixing force during the mixing process, thereby forming a good particle distribution and curing characteristics. Too high a rotating rod speed may cause excessive destruction of particles in the mixture, affecting the curing effect; while too low a rotating rod speed may lead to insufficient mixing. The number of mixing times and the speed will affect the energy consumption of the mixing equipment, which can optimize the energy consumption of the equipment. Construction personnel can combine the batching data and strength data of the optimal batching model and set the parameters of the mixing equipment according to the number of mixing times and rotating rod speed in the mixing data model to ensure the accuracy and efficiency of the construction process. In the actual construction process, the actual application effect data of the mixing data model can be collected. By analyzing these data, the mixing data model can be continuously optimized to further improve its accuracy and practicality.

[0038] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. According to the technical essence of the present invention, within the spirit and principles of the present invention, any simple modification, equivalent replacement and improvement made to the above embodiment still falls within the protection scope of the technical solution of the present invention.

Claims

1. A construction method for deep-sinking cement-soil mixing piles in clay soil, characterized in that: The method comprises the following steps: Step S1: inputting the size parameters of the cement soil mixing pile into the service system, and obtaining the size model of the cement soil mixing pile according to the size parameters of the cement soil mixing pile; Step S2: input multiple batching parameters of the cement soil mixing pile into the service system, and obtain a batching model corresponding to the size model according to the multiple batching parameters; Step S3: inputting the strength data corresponding to different batching models into the service system respectively, and establishing a plurality of cement-soil mixing pile models according to the strength data and size models corresponding to the different batching models; Step S4: running the service system, and judging whether the operation results of multiple cement-soil mixing pile models meet the standard according to the comparison result of the strength value corresponding to the cement-soil mixing pile model and the strength threshold value, and meeting the standard if the strength value is not less than the preset strength threshold value, and saving all cement-soil mixing pile models that meet the standard and the corresponding batching models; Step S5: inputting the cost data corresponding to all qualified cement soil mixing pile models into the service system; Step S6: comparing the values ​​of the cost data corresponding to all qualified cement-soil mixing pile models, selecting the cement-soil mixing pile model corresponding to the cost data of the minimum value, and determining the batching model corresponding to the selected cement-soil mixing pile model as the optimal batching model; Step S7: input the resistivity value of the optimal batching model into the service system and save it as the resistivity threshold, collect the resistivity value in real time and input it into the service system for comparison with the resistivity threshold, and the service system adjusts the output of the feeding equipment for different ingredients in real time according to the comparison result until the collected resistivity value matches the resistivity threshold, and finally obtains the lowest cost cement soil mixing pile that meets the requirements.

2. The construction method of a deep cement-soil mixing pile in clay soil according to claim 1, characterized in that: The ingredients in the batching parameters are cement and soil or cement slurry and soil, sand, and the parameters are the ratio of cement slurry to soil or the ratio of cement slurry, soil, sand.

3. The construction method of a deep-sinking cement-soil mixing pile in clay soil according to claim 2 is characterized in that: Before inputting the batching parameters, first input the cement slurry and soil ratio data into the service system, and obtain the sample model 1 after the cement slurry and soil are evenly mixed. Then input the cement slurry and soil ratio data after adding sand into the service system, and obtain the sample model 2 after the cement slurry, soil and sand are evenly mixed. Run the service system, and compare to find that the strength value of sample model 1 is less than the strength value of sample model 2, and determine that the ingredients in the batching parameters are cement slurry, soil and sand.

4. The construction method of a deep-sinking cement-soil mixing pile in clay soil according to claim 3 is characterized in that: After determining that the ingredients in the batching parameters are cement slurry, soil and sand, the soil layer data, drill bit size data and drill bit drilling data are input into the service system to obtain the soil production per unit time or unit length. The service system controls the working state of the drill bit and changes the soil production based on the comparison result of the resistivity value collected in real time and the resistivity threshold, thereby adjusting the real-time resistivity value.

5. The construction method of a deep-sinking cement-soil mixing pile in clay soil according to claim 3, characterized in that: The ratio data of cement slurry and soil in sample model 1 are the same as those in sample model 2.

6. The construction method of a deep-sinking cement-soil mixing pile in clay soil according to claim 3, characterized in that: The service system simulated experimental press gradually applied force to sample model 1 and sample model 2, respectively, and it was found that sample model 1 was broken first, and then it was found that the strength value of sample model 1 was less than the strength value of sample model 2.

7. The construction method of a deep-sinking cement-soil mixing pile in clay soil according to claim 1, characterized in that: The cost data includes ingredient cost data, labor cost data, equipment transportation and operation cost data.

8. The construction method of a deep-sinking cement-soil mixing pile in clay soil according to claim 1, characterized in that: The batching parameters in the optimal batching model can also be input into the service system, and combined with the strength data of the optimal batching model to obtain a stirring data model. The stirring data in the stirring data model includes stirring times and rotating rod speed.

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