Soil squeezing analysis system for deep mixing pile construction

Abstract

The invention relates to the technical field of civil engineering construction, and particularly discloses a deep mixing pile construction soil squeezing analysis system which comprises a construction rate analysis module, a construction distance and flow direction analysis module, a pile forming number analysis module, a data fusion and comprehensive analysis module and a data visualization module. Wherein the construction speed analysis module is used for analyzing the influence of the speed of stirring pile construction on the soil squeezing effect, the construction distance and flow direction analysis module is used for collecting influence data of different construction distances and flow directions on the soil squeezing effect, and the pile forming number analysis module is used for analyzing the influence of different pile forming numbers on the soil squeezing effect. The data fusion and comprehensive analysis module is used for integrating the construction speed, the construction distance, the construction flow direction and the pile forming number and building a soil squeezing effect prediction model. According to the system, by comprehensively analyzing multi-dimensional data of the construction speed, the construction distance, the construction flow direction and the pile forming number, a combined soil squeezing effect prediction model is established, and real-time prediction of soil squeezing and dynamic adjustment of construction parameters can be achieved.

Description

Technical Field

[0001] The invention relates to the technical field of civil construction analysis, and more specifically to a deep mixing pile construction soil squeezing analysis system. Background Art

[0002] As an important soft soil foundation treatment technology, deep mixing piles are widely used in foundation engineering, especially in subway stations, areas with dense underground pipelines and areas with dense buildings, where pile construction is used to enhance the bearing capacity and stability of the foundation. However, during the construction of deep mixing piles, the insertion of the piles into the soil layer and the grouting operation will exert additional pressure on the surrounding soil. This pressure causes lateral displacement of the soil, surface uplift, and settlement of underground pipelines. This phenomenon is called the soil squeezing effect. The existence of the soil squeezing effect not only has an adverse effect on the stability of the soil in the construction area, but also poses a threat to the safety of surrounding buildings and underground facilities. Especially in areas with dense underground pipelines, this risk is particularly significant.

[0003] In the existing construction control methods, the monitoring and prediction of soil squeezing effect lacks systematic and intelligent support. Traditional methods usually rely on construction experience and on-site measurement data. The analysis of soil squeezing effect mainly focuses on the study of a single parameter, such as construction rate or number of piles, and fails to comprehensively consider the synergistic effect of multiple influencing factors. Although the inventors of this application have summarized through case analysis that in the construction of deep mixing piles, factors such as the close distance to the pile, the large number of piles formed at one time, and the construction process affect the size of the soil squeezing effect, the maximum horizontal displacement depth of the surrounding soil is near the middle of the mixing pile, and the soil squeezing effect has lag and rebound phenomena (Analysis of Soil Squeezing Effect in Deep Mixing Pile Construction [J]. Geotechnical Engineering Technology, 2005, (04): 200-203.), there is still a lack of practical real-time prediction and analysis solutions for soil squeezing effect in the prior art. In addition, the analysis solutions of the prior art have obvious deficiencies in real-time and accuracy. The adjustment solutions in the construction process often lag behind the actual occurrence of soil squeezing effect, which may lead to the inability to timely control soil displacement and stress accumulation, thereby posing challenges to the safety and economy of construction. Summary of the invention

[0004] In order to overcome the above-mentioned defects of the prior art, the present invention provides a soil squeezing analysis system for deep mixing pile construction, which quantifies the influence of various factors on the soil squeezing effect by comprehensively analyzing the multi-dimensional data of construction rate, construction distance, construction direction and number of piles, and combines the soil squeezing effect prediction model to realize dynamic adjustment of construction parameters, reduce the negative impact of the soil squeezing effect on the surrounding environment, and improve the safety during the construction process, so as to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A deep mixing pile construction soil extrusion analysis system, characterized by comprising a construction rate analysis module, a construction distance and flow direction analysis module, a pile quantity analysis module and a data fusion and comprehensive analysis module, wherein the data fusion and comprehensive analysis module is connected to the construction rate analysis module, the construction distance and flow direction analysis module, and the pile quantity analysis module respectively; wherein,

[0007] The construction rate analysis module is used to analyze the influence of the construction rate of the mixing pile on the soil squeezing effect, and obtain the construction rate influence function;

[0008] The construction distance and flow direction analysis module is used to collect the influence data of different distances and flow directions on the soil squeezing effect during the construction process, and obtain the construction distance influence function and the construction flow direction influence function;

[0009] The pile quantity analysis module is used to obtain a pile quantity analysis model by performing regression analysis on the relationship between the pile quantity and the soil squeezing effect;

[0010] The data fusion and comprehensive analysis module is used to establish a real-time prediction model of soil squeezing effect according to the construction rate influence function, the distance influence function and the construction flow direction influence function and the pile quantity analysis model, so as to realize real-time prediction analysis of soil squeezing effect.

[0011] As a preferred technical solution of the present invention, the real-time prediction model of the soil squeezing effect is:

[0012]

[0013] Where E(x,y,t) is the soil squeezing effect intensity at position (x,y) and time t; V t is the construction rate at time t; a v W is the unit influence degree of construction rate on soil squeezing effect; v is the relative contribution of construction rate to soil squeezing effect; a d The construction distance affects the benchmark strength; α d is the attenuation coefficient of the construction distance; D t is the construction distance at time t; W d is the relative contribution of construction distance to soil squeezing effect; θ t is the angle of the construction flow at time t; a f b is the main axis influence coefficient of construction flow direction; f W is the secondary axis influence coefficient of construction flow direction; f N is the relative contribution of construction flow direction to soil squeezing effect; t is the number of piles at time t; a n is the influence coefficient of pile quantity; W nis the relative contribution of the number of piles to the soil squeezing effect; ε is the error term.

[0014] As a preferred technical solution of the present invention, the real-time prediction model of soil squeezing effect can be based on a preset soil squeezing effect safety threshold E safe The real-time prediction and analysis results of soil squeezing effect are obtained by collecting the construction rate, construction distance, construction flow angle and pile number in real time, and the soil squeezing effect is predicted and analyzed when the preset soil squeezing effect safety threshold E is exceeded. safe The construction parameters are adjusted dynamically in real time, and a real-time prediction model of optimized soil squeezing effect is obtained.

[0015] As a preferred technical solution of the present invention, the specific process of dynamically adjusting the construction parameters and obtaining the optimized real-time prediction model of the soil squeezing effect is as follows:

[0016] First, slow down the construction rate to reduce the soil squeezing effect, and get the adjusted construction rate V new

[0017] By changing the location of the construction point and increasing the distance to weaken the soil squeezing effect, the adjusted construction distance D is obtained. new ;

[0018] Change the angle of the construction flow direction to obtain the adjusted construction flow direction angle θ new ;

[0019] Reduce the number of piles in a single construction and get the adjusted number of piles N new ;

[0020] The optimized real-time prediction model of soil squeezing effect is:

[0021]

[0022] In the formula, E opt is the optimized soil squeezing effect strength.

[0023] As a preferred technical solution of the present invention, the optimized soil squeezing effect strength is greater than the preset soil squeezing effect safety threshold E safe When the soil is squeezed, multiple holes are drilled in the target area during the construction process to release the pressure of the soil.

[0024] As a preferred technical solution of the present invention, the construction rate analysis module is used to monitor the construction rate in real time, specifically including:

[0025] The time series data of the pile sinking rate during the construction process is collected by setting a rate sensor on the mixing pile equipment;

[0026] A dynamic time analysis model is established to match the rate data with the historical soil squeezing effect data to generate quantitative analysis results of the impact of rate changes on the soil squeezing effect;

[0027] The specific implementation process of the dynamic time analysis model is as follows:

[0028] Z1 defines the rate data series and the soil squeezing effect data series, where the construction rate time series is set to V = {v1, v2, ..., v i},v i represents the construction rate at the i-th time point, and the historical soil squeezing effect time series is E = {e1, e2, ..., e j},e j represents the soil squeezing effect value at the jth time point;

[0029] Z2 measures the local distance d(v between the construction rate and the soil squeezing effect i ,e j )=|v i -e j |, where d(v i ,e j ) represents the construction rate value v i and soil squeezing effect value e j The absolute difference between

[0030] Z3 establishes a cumulative distance matrix D(i,j), where D(i,j) satisfies D(i,j)=d(v i ,e j )+min{D(i-1,j),D(i,j-1),D(i-1,j-1)}, with the initial conditions of D(0,0)=0,D(i,0)=∞,D(0,j)=∞;

[0031] Z4, through the backtracking method, the optimal matching path P = {(i k ,j k )}, where (i k ,j k ) represents the matching time point in the rate series and the soil squeezing effect series;

[0032] Z5, calculates the overall impact of rate change on soil squeezing effect through the cumulative distance of the optimal path: Among them, R represents the average impact value of construction rate change on soil squeezing effect.

[0033] As a preferred technical solution of the present invention, the pile quantity analysis module obtains the pile quantity analysis model specifically including:

[0034] Combined with the displacement, uplift and settlement data measured at the construction site, a regression analysis was conducted on the relationship between the number of piles and the soil squeezing effect, and a pile number analysis model was established, wherein the pile number analysis model is:

[0035] E=a·N b +c

[0036] Where E is the soil squeezing effect value caused by the number of piles, N is the number of piles, a is the benchmark intensity of the influence of the number of piles on the soil squeezing effect, b is the nonlinear growth coefficient of the number of piles, and c is the initial effect value.

[0037] As a preferred technical solution of the present invention, the data fusion and comprehensive analysis module includes preprocessing the data in establishing the real-time prediction model of soil squeezing effect, specifically including:

[0038] Synchronize the sampling times of different sensors by calculating the deviation between each pair of timestamps, finding the closest time point, and performing linear interpolation to align the data to a unified time axis;

[0039] The missing data points are filled using linear interpolation, where the data value of the missing point is calculated through the linear relationship between two adjacent points, specifically:

[0040]

[0041] Among them, t1 and t2 are the time points before and after the missing point, and x(t1) and x(t2) are the corresponding known values.

[0042] As a preferred technical solution of the present invention, when the construction rate analysis module detects that the construction rate exceeds a set safety threshold, a warning signal will be issued.

[0043] In general, the above technical solution conceived by the present invention has the following beneficial effects compared with the prior art:

[0044] The application provides a deep mixing pile construction soil squeezing analysis system, which quantifies the influence of various factors on the soil squeezing effect by comprehensively analyzing multi-dimensional parameters such as construction rate, construction distance, construction flow direction and pile number, establishes a real-time prediction model for the soil squeezing effect, and realizes the function of dynamically adjusting construction parameters; moreover, the analysis system of the application reduces the adverse impact of construction on the surrounding environment through an intelligent soil squeezing effect prediction model and optimization algorithm, and effectively ensures construction safety and efficiency. In addition, the analysis system of the application can also be equipped with a user-friendly visual interface to display monitoring data and analysis results in real time. The operation is simple and intuitive, which can improve the scientificity and accuracy of construction management. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1This is a structural schematic diagram of a deep mixing pile construction soil squeezing analysis system according to an embodiment of the present application;

[0046] Figure 2 The displacement curve of the effect of construction distance on soil extrusion;

[0047] Figure 3 It is the displacement curve diagram of the influence of different construction flow on soil extrusion;

[0048] Figure 4 The displacement curve of the effect of pile quantity on soil compaction;

[0049] Figure 5 This is a flow chart of the steps of drilling multiple small-diameter holes in a target area to release the pressure of the squeezed soil in a deep mixing pile construction soil squeezing analysis system according to one embodiment of the present application. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. In addition, the technical features involved in each embodiment of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0051] like Figure 1 As shown, a deep mixing pile construction soil extrusion analysis system provided by an embodiment of the present invention includes a construction rate analysis module, a construction distance and flow direction analysis module, a pile quantity analysis module, and a data fusion and comprehensive analysis module. Preferably, a data visualization module may also be included.

[0052] like Figure 1 ,The construction rate analysis module is used to monitor the construction rate of mixing piles in real time and ,analyze the impact of the construction rate on the soil squeezing effect.

[0053] The construction distance and flow direction analysis module includes a plurality of displacement and settlement sensors, which are usually arranged around the construction site. The module can collect data on the impact of different construction distances and flow directions on the soil squeezing effect through the above displacement and settlement sensors arranged around the construction site.

[0054] The pile quantity analysis module is used to analyze the impact of different pile quantities on the soil compaction effect according to site conditions.

[0055] The data fusion and comprehensive analysis module is used to integrate the construction rate, construction distance, construction direction and number of piles, establish a real-time prediction model, and generate a construction adjustment plan.

[0056] The data visualization module presents the monitoring data and analysis results of soil squeezing effect in an intuitive way.

[0057] As a preferred technical solution of the present invention, the above-mentioned construction rate analysis module monitors the construction rate of the mixing pile in real time and analyzes the influence of the construction rate on the soil squeezing effect. During the construction of the mixing pile, the pile body penetrates deep into the soil through rotation and grouting. When the construction rate is too fast, the soil body will be quickly squeezed and disturbed, and the pore water pressure generated by the construction cannot be effectively dissipated. This rapid stress accumulation often causes the surrounding soil to undergo significant volume expansion or lateral displacement, thereby exacerbating the soil squeezing effect, and further affecting the stability of surrounding structures and underground facilities. The construction rate analysis module of this embodiment is used to monitor the construction rate in real time, and to correlate it with the influence of the soil squeezing effect in real time. Specifically, a high-precision rate sensor can be installed on the mixing pile equipment to collect time series data of the pile body sinking rate during the construction process. Based on the dynamic time analysis model, the rate data can be matched with the historical soil squeezing effect data to generate a quantitative analysis result of the impact of rate changes on the soil squeezing effect.

[0058] Specifically, the specific implementation process of the dynamic time analysis model is as follows:

[0059] Step Z1, define the rate data sequence and the soil squeezing effect data sequence, and the construction rate time series is V = {v1, v2, ..., v i}, where v i represents the construction rate at the i-th time point, and the historical soil squeezing effect time series is E = {e1, e2, ..., e j}, where e j represents the soil squeezing effect value at the jth time point;

[0060] Step Z2, measure the local distance between the construction rate and the soil squeezing effect, d(v i ,e j )=|v i -e j |, where d(v i ,e j ) represents the construction rate value v i and soil squeezing effect value e j The absolute difference between them is used as the distance metric for local matching;

[0061] Step Z3, establish a cumulative distance matrix D(i,j), where the matrix D(i,j) satisfies D(i,j)=d(v i ,e j )+min{D(i-1,j),D(i,j-1),D(i-1,j-1)}, and the initial conditions are D(0,0)=0,D(i,0)=∞,D(0,j)=∞;

[0062] Step Z4, after the cumulative distance matrix is ​​calculated, the optimal matching path P is obtained by backtracking method.k ,j k )}, where (i k ,j k ) represents the matching time point in the rate series and the soil squeezing effect series;

[0063] Step Z5, calculate the overall impact of rate change on soil squeezing effect through the cumulative distance of the optimal path: Among them, R represents the average impact value of construction rate change on soil squeezing effect.

[0064] Preferably, when the construction rate analysis module detects that the construction rate exceeds a set safety threshold, a warning signal will be sent to the construction operator.

[0065] In a preferred embodiment, the construction distance and flow direction analysis module collects data on the impact of different construction distances and flow directions on the soil squeezing effect by deploying displacement and settlement sensors around the construction site. Specifically, the construction distance and flow direction analysis module is implemented as follows:

[0066] See also Figure 2 As shown in the displacement curve, the construction distance and flow direction have a significant effect on the soil squeezing effect, that is, the closer the mixing pile construction is to the target area, the more significant the soil squeezing effect is, and different choices of construction flow directions may lead to the superposition or mutual offset of the soil squeezing effect.

[0067] In a preferred embodiment, the construction distance and flow direction analysis module collects real-time data including the lateral displacement of underground continuous walls and the settlement of underground pipelines, as well as the changes in surface uplift, through displacement sensors and settlement sensors arranged around the construction site. The construction distance and flow direction analysis module establishes a functional relationship between distance and soil squeezing effect, and defines the attenuation formula of soil squeezing effect with construction distance as E(d)=E0·e -αd , where d is the distance from the construction point to the target area, E0 is the initial value of the soil squeezing effect caused by the distance, and α is the attenuation coefficient related to the formation characteristics.

[0068] Different construction flow patterns will lead to complex interactions between the mixing piles, including: from outside to inside, from inside to outside, and from both sides to the middle at the same time. Figure 3 As shown in the displacement curve diagram, S13 in the figure is construction in the same direction, and S14 is construction from both sides to the middle at the same time. The construction method of advancing from both sides to the middle at the same time causes the soil to converge to the middle, thereby forming a greater soil squeezing effect.

[0069] In a preferred embodiment, the pile quantity analysis module is used to analyze the influence of different pile quantities on the soil squeezing effect according to the site conditions. Figure 4As shown in the displacement curve, too many piles will cause excessive lateral displacement of the soil and ground uplift, and even cause adverse effects on surrounding buildings or underground facilities; while insufficient piles may not meet construction requirements or reduce construction efficiency. To this end, the pile quantity analysis module of this embodiment combines the displacement, uplift and settlement data measured at the construction site to perform regression analysis on the relationship between the number of piles and the soil squeezing effect, and establishes a pile quantity analysis model. The formula of the pile quantity analysis model is:

[0070] E=a·N b +c

[0071] Among them, E is the soil squeezing effect value caused by the number of piles, N is the number of piles, a is the benchmark intensity of the influence of the number of piles on the soil squeezing effect, b is the nonlinear growth coefficient of the number of piles, and c is the initial effect value.

[0072] Preferably, if it is detected that the soil squeezing effect caused by the current number of piles is close to a preset safety threshold, a suggestion to reduce the number of piles or to change the construction sequence will be made through an intelligent feedback mechanism.

[0073] In a preferred embodiment, the data fusion and comprehensive analysis module is used to integrate the construction rate, construction distance, construction direction and number of piles, establish a real-time prediction model, and generate a construction adjustment plan.

[0074] During the construction process, the factors that affect the soil squeezing effect are dynamic and interrelated. A too fast construction rate will aggravate the soil squeezing effect in the nearby areas, and the increase in the number of piles will amplify the flow superposition effect. Therefore, a single factor analysis is difficult to reflect the complex impact of construction on the surrounding soil. The data fusion and comprehensive analysis module is used to integrate the real-time data collected by different sensors, where the real-time data includes at least construction rate data, construction distance data, construction flow direction data, and pile quantity data.

[0075] The data fusion and comprehensive analysis module pre-processes the data, synchronizes the sampling time of different sensors through the linear time alignment method, calculates the deviation between each pair of timestamps, finds the closest time point, performs linear interpolation, and aligns the data to a unified time axis; and uses the linear interpolation method to fill in the missing data points.

[0076] Among them, the data value of the missing point is calculated by the linear relationship between two adjacent points:

[0077]

[0078] Among them, t1 and t2 are the time points before and after the missing point, and x(t1) and x(t2) are the corresponding known values.

[0079] Furthermore, the data signal is decomposed into different frequency components by wavelet denoising, the noise is removed by performing soft or hard threshold processing on the high frequency components, and then the signal is reconstructed by inverse wavelet transform.

[0080] In this embodiment, the data fusion and comprehensive analysis module integrates the construction rate, construction distance, construction direction and pile quantity, establishes a soil squeezing effect prediction model, quantifies the influence of various factors on the soil squeezing effect, and generates a construction optimization plan.

[0081] Among them, the formula of soil squeezing effect prediction model is:

[0082]

[0083] Where: E(x,y,t) is the soil squeezing effect intensity at position (x,y) and time t; V t is the construction rate at time t; a v W is the unit influence degree of construction rate on soil squeezing effect; v is the relative contribution of construction rate to soil squeezing effect; a d The construction distance affects the benchmark strength; α d is the attenuation coefficient of the construction distance; D t is the construction distance at time t; W d is the relative contribution of construction distance to soil squeezing effect; θ t is the angle of the construction flow at time t; a f b is the main axis influence coefficient of construction flow direction; f W is the secondary axis influence coefficient of construction flow direction; f N is the relative contribution of construction flow direction to soil squeezing effect; t is the number of piles at time t; a n is the influence coefficient of pile quantity; W n is the relative contribution of the number of piles to the soil squeezing effect; ε is the error term.

[0084] According to the construction rate V obtained in real time t , Construction distance D t 、The angle of construction flow direction θ t and the number of piles N t , preset soil squeezing effect safety threshold E safe .

[0085] If E(x,y,t)≤E safe , the current construction parameters are within the safe range, no adjustment is required, and construction continues;

[0086] If E(x,y,t)>E safe, then the construction parameters need to be adjusted. Preferably, the construction rate can be slowed down first to reduce the soil squeezing effect, and the adjusted construction rate V can be obtained. new By changing the location of the construction point and increasing the distance to weaken the soil squeezing effect, the adjusted construction distance D is obtained. new , change the angle of the construction flow direction, reduce the superposition effect on the highly sensitive area, and obtain the adjusted construction flow direction angle θ new , reduce the number of piles in a single construction, reduce the superposition strength of the soil squeezing effect, and obtain the adjusted number of piles N new , comprehensively adjust the construction parameters, and obtain the optimization effect prediction model. Among them, the formula of the optimization effect prediction model is:

[0087]

[0088] Where: E opt Predicted soil compaction intensity for optimization results.

[0089] If E opt ≤E safe , indicating that the construction adjustment plan is effective; if E opt >E safe During the construction process, multiple small-diameter holes are drilled in the target area to release the pressure of the squeezing soil.

[0090] Specifically, Figure 5 As shown, in a preferred embodiment, releasing the pressure of the squeezed soil specifically includes the following steps:

[0091] Step Y1, arranging drill holes around the construction pile at a preset interval, preferably evenly spaced, for example, with an interval size ranging from 0.5m to 2m;

[0092] Step Y2, setting the drilling depth to a certain proportion of the pile length, for example, 50% to 80%, so as to cover the main impact area of ​​the soil squeezing effect;

[0093] Step Y3, laying a conduit in the borehole to eliminate the accumulation of pore water pressure.

[0094] In a preferred embodiment, a data visualization module can be set. The data visualization module is used to present the monitoring data and analysis results of the soil squeezing effect in an intuitive way. In one embodiment, the data visualization module receives multi-source sensor data from the construction site and integrates it into a unified timeline to ensure the temporal consistency of the data. Based on the soil squeezing effect prediction model, a dynamic change curve of the real-time soil squeezing effect is generated, such as a displacement change trend curve over time on the construction path, and the soil squeezing effect intensity of different areas is identified in a color-coded manner, with green indicating a safe area, yellow indicating an area that needs attention, and red indicating a high-risk area. The soil displacement distribution at different depths in the construction area is displayed through a three-dimensional chart to help construction personnel intuitively understand the spatial impact of the soil squeezing effect. The data visualization module supports a variety of interactive functions, including zooming, rotating, and clicking to query. Construction personnel can obtain detailed monitoring data and model suggestions by clicking on high-risk areas. It also integrates a timeline playback function, and users can trace back historical data by sliding the timeline to analyze the evolution of the soil squeezing effect at different construction stages, providing a reference for subsequent construction.

[0095] In this embodiment, the construction rate analysis module, the pile quantity analysis module, the construction distance and flow direction analysis module and the data visualization module are electrically connected to the data fusion and comprehensive analysis module respectively.

[0096] The system of the present application quantifies the influence of various factors on the soil squeezing effect by comprehensively analyzing multi-dimensional parameters such as construction rate, construction distance, construction flow direction and number of piles, and realizes the function of dynamically adjusting construction parameters. The system reduces the adverse impact of construction on the surrounding environment through intelligent soil squeezing effect prediction model and optimization algorithm, and effectively ensures construction safety and efficiency. In addition, the system is also equipped with a user-friendly visual interface, which displays monitoring data and analysis results in real time. The operation is simple and intuitive, which can improve the scientificity and accuracy of construction management.

[0097] It is easy for those skilled in the art to understand that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modification, equivalent replacement and improvement made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A deep mixing pile construction soil squeezing analysis system, characterized in that: It includes a construction rate analysis module, a construction distance and flow direction analysis module, a pile quantity analysis module and a data fusion and comprehensive analysis module, and the data fusion and comprehensive analysis module is connected with the construction rate analysis module, the construction distance and flow direction analysis module and the pile quantity analysis module respectively; wherein, The construction rate analysis module is used to analyze the influence of the construction rate of the mixing pile on the soil squeezing effect, and obtain the construction rate influence function; The construction distance and flow direction analysis module is used to collect the influence data of different distances and flow directions on the soil squeezing effect during the construction process, and obtain the construction distance influence function and the construction flow direction influence function; The pile quantity analysis module is used to obtain a pile quantity analysis model by performing regression analysis on the relationship between the pile quantity and the soil squeezing effect; The data fusion and comprehensive analysis module is used to establish a real-time prediction model of soil squeezing effect according to the construction rate influence function, the distance influence function and the construction flow direction influence function and the pile quantity analysis model, so as to realize real-time prediction analysis of soil squeezing effect.

2. A deep mixing pile construction soil squeezing analysis system according to claim 1, characterized in that ,The real-time prediction model of soil squeezing effect is: Where E(x,y,t) is the soil squeezing effect intensity at position (x,y) and time t; V t is the construction rate at time t; a v W is the unit influence degree of construction rate on soil squeezing effect; v is the relative contribution of construction rate to soil squeezing effect; a d The construction distance affects the benchmark strength; α d is the attenuation coefficient of the construction distance; D t is the construction distance at time t; W d is the relative contribution of construction distance to soil squeezing effect; θ t is the angle of the construction flow at time t; a f b is the main axis influence coefficient of construction flow direction; f W is the secondary axis influence coefficient of construction flow direction; f N is the relative contribution of construction flow direction to soil squeezing effect; t is the number of piles at time t; a n is the influence coefficient of pile quantity; W n is the relative contribution of the number of piles to the soil squeezing effect; ε is the error term.

3. A deep mixing pile construction soil squeezing analysis system according to claim 1, characterized in that The real-time prediction model of soil squeezing effect can be based on the preset soil squeezing effect safety threshold E safe By collecting the construction speed, construction distance, construction flow angle and pile number in real time, the real-time prediction and analysis results of soil squeezing effect are obtained, and the soil squeezing effect safety threshold E is exceeded. safe The construction parameters are adjusted dynamically at the same time, and a real-time prediction model of optimized soil squeezing effect is obtained.

4. A deep mixing pile construction soil squeezing analysis system according to claim 1, characterized in that ,The specific process of dynamically adjusting the construction parameters and obtaining the optimized real-time prediction model of soil squeezing effect is as follows: First, slow down the construction rate to reduce the soil squeezing effect, and get the adjusted construction rate V new By changing the location of the construction point and increasing the distance to weaken the soil squeezing effect, the adjusted construction distance D is obtained. new ; Change the angle of the construction flow direction to obtain the adjusted construction flow direction angle θ new ; Reduce the number of piles in a single construction and get the adjusted number of piles N new ; The optimized real-time prediction model of soil squeezing effect is: In the formula, E opt is the optimized soil squeezing effect strength.

5. A deep mixing pile construction soil squeezing analysis system according to claim 4, characterized in that The optimized soil squeezing effect strength is greater than the preset soil squeezing effect safety threshold E safe When the soil is squeezed, multiple holes are drilled in the target area during the construction process to release the pressure of the soil.

6. A deep mixing pile construction soil squeezing analysis system according to claim 1, characterized in that: The construction rate analysis module is used to monitor the construction rate in real time, and specifically includes: The time series data of the pile sinking rate during the construction process is collected by setting a rate sensor on the mixing pile equipment; A dynamic time analysis model is established to match the rate data with the historical soil squeezing effect data to generate quantitative analysis results of the impact of rate changes on the soil squeezing effect; The specific implementation process of the dynamic time analysis model is as follows: Z1 defines the rate data series and the soil squeezing effect data series, where the construction rate time series is set as V = {v1, v2, ..., v i }, vi represents the construction rate at the i-th time point, and the historical soil squeezing effect time series is E = {e1, e2, ..., ej}, e j represents the soil squeezing effect value at the jth time point; Z2 measures the local distance between the construction rate and the soil squeezing effect d(vi,ej) = |vi-ej|, where d(vi,ej) represents the construction rate value vi and the soil squeezing effect value e j The absolute difference between Z3 establishes a cumulative distance matrix D(i,j), where D(i,j) satisfies D(i,j)=d(vi e,j)+m{Di(in j)D(i1j,-)D,(i-,j-)}1, and the initial conditions are D(0,0)=0, D(i,0)=∞, D(0,j=∞; Z4, through the backtracking method, the optimal matching path P = {(i k ,j k )}, where (i k ,j k ) represents the matching time point in the rate series and the soil squeezing effect series; Z5, calculates the overall impact of rate change on soil squeezing effect through the cumulative distance of the optimal path: Among them, R represents the average impact value of construction rate change on soil squeezing effect.

7. The deep mixing pile construction soil squeezing analysis system according to claim 1 is characterized in that: The pile quantity analysis module obtains the pile quantity analysis model specifically including: Combined with the displacement, uplift and settlement data measured at the construction site, a regression analysis was conducted on the relationship between the number of piles and the soil squeezing effect, and a pile number analysis model was established, wherein the pile number analysis model is: E=a·N b +c Where E is the soil squeezing effect value caused by the number of piles, N is the number of piles, a is the benchmark intensity of the influence of the number of piles on the soil squeezing effect, b is the nonlinear growth coefficient of the number of piles, and c is the initial effect value.

8. The deep mixing pile construction soil squeezing analysis system according to claim 1 is characterized in that: The data fusion and comprehensive analysis module includes preprocessing the data in establishing the real-time prediction model of soil squeezing effect, specifically including: Synchronize the sampling times of different sensors by calculating the deviation between each pair of timestamps, finding the closest time point, and performing linear interpolation to align the data to a unified time axis; The missing data points are filled using linear interpolation, where the data value of the missing point is calculated through the linear relationship between two adjacent points, specifically: Among them, t1 and t2 are the time points before and after the missing point, and x(t1) and x(t2) are the corresponding known values.

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