Underground diaphragm wall slot section instability discrimination method and system based on big data analysis

The method and system use big data analysis to assess underground continuous wall trench instability, addressing construction issues by setting warning values and suggesting parameter adjustments to stabilize trench sections, thereby improving project quality.

CN119180079APending Publication Date: 2024-12-24SHANGHAI TUNNEL ENG CO LTD
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Patent Information

Application Number
CN202411207664.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-08-30
Publication Date
2024-12-24

AI Technical Summary

Technical Problem

Existing methods fail to accurately judge the instability of underground continuous wall trench sections during construction, leading to issues like hole collapse and neck shrinkage, which affect project quality and increase costs.

Method used

A method and system using big data analysis to determine instability by setting warning values for concrete pouring coefficients, analyzing concrete pouring curves, and providing construction parameter adjustments to stabilize the trench sections.

Benefits of technology

Enables accurate judgment of trench section instability, ensuring project quality by identifying over-pour or under-pour volumes and suggesting parameter adjustments like reinforcing soil, selecting high-viscosity mud, and optimizing construction sequences.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention relates to an underground diaphragm wall groove section instability judgment method and system based on big data analysis. The underground diaphragm wall groove section instability judgment method based on big data analysis comprises the following steps that S1, a lower early warning value kappa lower and an upper early warning value kappa upper of an underground diaphragm wall concrete pouring filling coefficient are set; s2, drawing a concrete pouring curve graph of the underground diaphragm wall of the project under construction; according to the method, the instability of the groove section of the underground diaphragm wall constructed at present is judged according to the reasonable range of the filling coefficient of the underground diaphragm wall under the completed similar geological conditions, the instability type of the groove section of the underground diaphragm wall constructed at present can be obtained according to the judgment result, and the construction parameter adjustment guidance of the next underground diaphragm wall is given; workers can conveniently adjust construction parameters of the groove section of the next underground diaphragm wall, it is ensured that the groove section is stable in the construction process of the underground diaphragm wall, and then the engineering quality is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of building construction, and in particular to a method and system for determining instability of underground continuous wall groove sections based on big data analysis. Background Art

[0002] With the advancement of urbanization, land resources in central urban areas are becoming increasingly scarce, resulting in the continuous development of urban underground space towards super-large and super-deep directions. Underground continuous wall is a continuous underground wall that uses mechanical excavation of deep and narrow trenches under the synergistic effect of mud wall protection and timely concrete pouring. It has the advantages of high construction efficiency, less pollution, strong anti-seepage and small deformation, and has been widely used in engineering construction.

[0003] During the construction process of underground continuous walls, due to engineering geological conditions, construction technology and other reasons, it is very easy to cause instability problems such as hole collapse and neck shrinkage, which will have an adverse impact on the surrounding environment and increase the cost of engineering construction. Therefore, how to judge the stability of the underground continuous wall trench section during the construction process of the underground continuous wall and adjust the construction parameters in time to ensure the quality of the project is a technical problem that needs to be solved urgently in the civil engineering community.

[0004] In order to solve the above problems, a method and system for judging the instability of underground continuous wall trench sections based on big data analysis were proposed. Summary of the invention

[0005] The purpose of the present invention is to overcome the defects of the prior art and provide a method and system for judging the instability of underground continuous wall trench sections based on big data analysis, so as to solve the problem that the instability of trench sections of underground continuous walls in the prior art cannot be judged during the construction process, and thus the quality of the project cannot be guaranteed.

[0006] To achieve the above object, the present invention provides a method for determining instability of underground continuous wall trench sections based on big data analysis, comprising the following steps:

[0007] S1. Set the lower warning value κ of the underground continuous wall concrete pouring filling coefficient 下 and upper warning value κ 上 ;

[0008] S2. Draw the concrete pouring curve of underground continuous wall of the project under construction, including the concrete theoretical pouring volume-concrete rising height curve, concrete pouring volume-concrete rising height curve, κ 下 times the theoretical pouring volume of concrete-concrete rise height curve and κ 上 Times the theoretical concrete pouring volume-concrete rising height curve;

[0009] S3, concrete pouring volume-concrete rise height curve, κ 下 times the theoretical pouring volume of concrete-concrete rise height curve and κ上 Analyze the concrete theoretical pouring volume-concrete rising height curve;

[0010] If the slope of the concrete pouring volume-concrete rising height curve is less than κ 上 If the slope of the curve of times the theoretical concrete pouring volume-concrete rising height is equal to 100%, it is judged that the concrete pouring at this location is over-square, which is a suspected collapse hole location;

[0011] If the slope of the concrete pouring volume-concrete rising height curve is greater than κ 下 If the slope of the curve is times the theoretical concrete pouring volume - concrete rising height, it can be judged that the concrete pouring at that location is under-square, which is a suspected necking or mud-in-the-wall location.

[0012] Furthermore, in step 1, the lower warning value κ of the filling coefficient of the underground continuous wall concrete pouring 下 and upper warning value κ 上 The acquisition steps are:

[0013] a. Collect the concrete pouring filling coefficients of completed underground continuous walls under the same geological conditions as the project under construction, arrange them in order from small to large, and find the first quartile Q1 and the third quartile Q3;

[0014] b. Define the difference between the first quartile Q1 and the third quartile Q3 as IQR. If the concrete pouring filling coefficient data is less than Q1-3IQR or greater than Q3+3IQR, it is determined to be an extreme outlier and will be discarded;

[0015] c. Draw a frequency histogram of the concrete pouring filling coefficient with the extreme outliers removed, and calculate the average value μ and standard deviation σ of the corrected concrete pouring filling coefficient; take the intersection of [μ-2σ, μ+2σ] and the allowable deviation value of the underground continuous wall filling coefficient specified in the standard as the reasonable range of the concrete pouring filling coefficient, which corresponds to the lower warning value κ of the underground continuous wall concrete pouring filling coefficient based on big data analysis 下 and upper warning value κ 上 .

[0016] Furthermore, after the step S3 determines that the corresponding position is over-cubic, the over-cubic volume of the position can be further calculated, and the over-cubic volume is the slope of the concrete pouring volume-concrete rising height curve that is no longer less than κ 上 The difference between the concrete pouring volume at the position of the slope of the concrete rising height curve or the concrete pouring end position and the concrete theoretical pouring volume minus the concrete pouring volume-concrete rising height curve slope starting to be less than κ 上 Times the theoretical pouring volume of concrete - the difference between the concrete pouring volume at the slope position of the concrete rising height curve and the theoretical pouring volume of concrete;

[0017] After determining the corresponding position is underfilled in step S3, the underfill volume of the position can be further calculated, where the underfill volume is the slope of the concrete pouring volume-concrete rising height curve no longer greater than κ 下 The difference between the theoretical concrete pouring volume and the concrete pouring volume at the position where the slope of the concrete rising height curve is greater than κ minus the concrete pouring volume-concrete rising height curve slope. 下 Times the theoretical concrete pouring volume - the difference between the theoretical concrete pouring volume at the slope position of the concrete rise height curve and the concrete pouring volume.

[0018] At the same time, in order to achieve the above-mentioned purpose, the present invention also provides an underground continuous wall groove segment instability judgment system based on big data analysis, which mainly includes a data acquisition module, a data analysis module, an instability judgment module and an instability control guidance module which are electrically connected in sequence;

[0019] The data acquisition module is used to obtain the lower warning value κ of the set underground continuous wall concrete pouring filling coefficient 下 and upper warning value κ 上 It is also used to obtain the theoretical concrete pouring volume of underground continuous walls of projects under construction, as well as the concrete pouring volume and concrete rising height during the pouring construction process;

[0020] The data analysis module is used to analyze the data acquired by the data acquisition module and draw a concrete pouring curve diagram of the underground continuous wall of the construction project, which includes a concrete theoretical pouring volume-concrete rising height curve, a concrete pouring volume-concrete rising height curve, a κ 下 times the theoretical pouring volume of concrete-concrete rise height curve and κ 上 Times the theoretical concrete pouring volume-concrete rising height curve;

[0021] The instability judgment module is used to analyze the curve graph generated by the data analysis module. If the slope of the concrete pouring volume-concrete rising height curve is less than κ 上 times the theoretical concrete pouring volume-concrete rising height curve slope, it is judged that the concrete pouring at this position is over-cubic; if the slope of the concrete pouring volume-concrete rising height curve is greater than κ 下 If the slope of the curve of times the theoretical concrete pouring volume-concrete rising height is equal to 100%, it can be judged that the concrete pouring at this location is insufficient;

[0022] The instability control guidance module is used to provide construction parameter adjustment guidance for the next underground continuous wall after the instability identification module determines that the current underground continuous wall trench section is unstable. The construction parameter adjustment guidance includes but is not limited to reinforcing the trench wall soil, lowering the groundwater level around the trench wall, selecting mud with high viscosity and low water loss to protect the wall, limiting the load around the trench wall, selecting a guide wall with high rigidity, reducing excavation time and optimizing the construction sequence.

[0023] Furthermore, the data acquisition module is connected to the warning value calculation module, and the warning value calculation module is also connected to the data storage module;

[0024] The data storage module is used to store the collected concrete pouring volume and the theoretical concrete pouring volume during the pouring of the completed underground continuous wall under the same geological conditions, and also stores the concrete pouring filling coefficient calculated according to the ratio of the concrete pouring volume at the completion of pouring to the theoretical concrete pouring volume;

[0025] The warning value calculation module is used to sort the concrete pouring filling coefficients stored in the data storage module from small to large, and find the first quartile Q1 and the third quartile Q3; define the difference between the first quartile Q1 and the third quartile Q3 as IQR, and if the concrete pouring filling coefficient data is less than Q1-3IQR or greater than Q3+3IQR, it is determined to be an extreme outlier and discarded; draw a frequency histogram of the concrete pouring filling coefficient with the extreme outliers deleted, and calculate the average value μ and standard deviation σ of the corrected concrete pouring filling coefficient; take the intersection of [μ-2σ, μ+2σ] and the allowable deviation value of the underground continuous wall filling coefficient specified in the standard as the reasonable range of the concrete pouring filling coefficient, which corresponds to the warning value κ of the underground continuous wall concrete pouring filling coefficient based on big data analysis 下 and upper warning value κ 上 .

[0026] Furthermore, it also includes an instability calculation module electrically connected to the instability judgment module, and the instability calculation module is used to calculate the over-cubic volume of the position after the instability judgment module determines that the concrete pouring at the corresponding position is over-cubic, and the over-cubic volume is the slope of the concrete pouring volume-concrete rising height curve that is no longer less than κ 上 The difference between the concrete pouring volume at the position of the slope of the concrete rising height curve or the concrete pouring end position and the concrete theoretical pouring volume minus the concrete pouring volume-concrete rising height curve slope starting to be less than κ 上 Times the theoretical pouring volume of concrete - the difference between the concrete pouring volume at the slope position of the concrete rising height curve and the theoretical pouring volume of concrete;

[0027] It is also used to calculate the volume of the concrete underfill at the corresponding position after the instability judgment module determines that the concrete pouring volume at the corresponding position is underfilled. The underfilled volume is the slope of the concrete pouring volume-concrete rising height curve that is no longer greater than κ 下 The difference between the theoretical concrete pouring volume and the concrete pouring volume at the position where the slope of the concrete rising height curve is greater than κ minus the concrete pouring volume-concrete rising height curve slope. 下 Times the theoretical concrete pouring volume - the difference between the theoretical concrete pouring volume at the slope position of the concrete rising height curve and the concrete pouring volume;

[0028] It also includes a display module connected to the data analysis module and the instability judgment module, which is used to display the curve graph generated by the data analysis module, and is also used to display a prompt box in the slope change area of ​​the concrete pouring volume-concrete rising height curve obtained by the instability judgment module, and at the same time display the judgment result of the instability judgment module and the construction parameter adjustment guidance options for the next underground continuous wall given by the instability control guidance module after the instability judgment module judges that the current underground continuous wall groove section is unstable.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] The instability of the underground continuous wall groove section under construction can be judged by the reasonable range of the filling coefficient of the completed underground continuous wall under similar geological conditions. According to the judgment result, the instability type of the underground continuous wall groove section under construction can be obtained, and the guidance on the adjustment of the construction parameters of the next underground continuous wall can be given to facilitate the staff to adjust the construction parameters of the next underground continuous wall groove section, ensure the stability of the groove section during the construction process of the underground continuous wall, and thus improve the quality of the project. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic diagram of the steps of the method for determining instability of underground continuous wall groove sections based on big data analysis in the present invention;

[0032] Figure 2 is the lower warning value κ of the underground continuous wall concrete pouring filling coefficient in the underground continuous wall groove segment instability judgment method based on big data analysis in the present invention 下 and upper warning value κ 上 Get the step diagram;

[0033] Figure 3 A frequency histogram of underground continuous wall concrete pouring filling coefficient with extreme outliers deleted in an embodiment of the present invention;

[0034] Figure 4 It is the underground continuous wall concrete pouring curve in the embodiment of the present invention. DETAILED DESCRIPTION

[0035] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0036] Please refer to the attached Figure 1 The present invention provides a method for judging the instability of underground continuous wall groove segments based on big data analysis, comprising the following steps: S1, setting the lower warning value κ of the underground continuous wall concrete pouring filling coefficient 下 and upper warning value κ 上 ; S2. Draw the concrete pouring curve of underground continuous wall of the construction project, including the concrete theoretical pouring volume-concrete rising height curve, concrete pouring volume-concrete rising height curve, κ 下 times the theoretical pouring volume of concrete-concrete rise height curve and κ 上 times the theoretical concrete pouring volume-concrete rising height curve; S3, concrete pouring volume-concrete rising height curve, κ 下 times the theoretical pouring volume of concrete-concrete rise height curve and κ 上 times the theoretical concrete pouring volume-concrete rising height curve for analysis; if the slope of the concrete pouring volume-concrete rising height curve is less than κ 上 times the theoretical concrete pouring volume-concrete rising height curve slope, it is judged that the concrete pouring at this location is over-cubic, and the corresponding underground continuous wall groove section instability type is collapse hole; if the slope of the concrete pouring volume-concrete rising height curve is greater than κ 下 If the slope of the curve of times the theoretical concrete pouring volume - concrete rising height is calculated, it is judged that the concrete pouring at this position is under-square, and the corresponding underground continuous wall groove section instability type is necking or wall mud inclusion position.

[0037] For further information, please refer to Figure 2 , the lower warning value κ of the filling coefficient of underground continuous wall concrete pouring in step 1 下 and upper warning value κ 上The acquisition steps are as follows: a. Collect the concrete pouring filling coefficients of completed underground continuous walls under the same geological conditions as the ongoing projects, arrange them in order from small to large, and find the value at the 25% position as the first quartile Q1 and the value at the 75% position as the third quartile Q3; b. Define the difference between the first quartile Q1 and the third quartile Q3 as IQR. If the concrete pouring filling coefficient data is less than Q1-3IQR or greater than Q3+3IQR, it is judged as an extreme outlier and discarded; c. Draw a frequency histogram of the concrete pouring filling coefficient with the extreme outliers deleted, and calculate the average value μ and standard deviation σ of the corrected concrete pouring filling coefficient; take the intersection of [μ-2σ, μ+2σ] and the allowable deviation value of the underground continuous wall filling coefficient specified in the standard as the reasonable range of the concrete pouring filling coefficient, which corresponds to the lower warning value κ of the underground continuous wall concrete pouring filling coefficient based on big data analysis 下 and upper warning value κ 上 .

[0038] Furthermore, after determining that the corresponding position is over-cubic in step S3, the over-cubic volume of the position can be further calculated. The over-cubic volume is the slope of the concrete pouring volume-concrete rising height curve that is no longer less than κ 上 The difference between the concrete pouring volume at the position of the slope of the concrete rising height curve or the concrete pouring end position and the concrete theoretical pouring volume minus the concrete pouring volume-concrete rising height curve slope starting to be less than κ 上 The difference between the concrete pouring volume at the position of the concrete theoretical pouring volume-concrete rising height curve slope and the concrete theoretical pouring volume; after determining the corresponding position is undersold in step S3, the undersold volume of the position can be further calculated, and the undersold volume is the concrete pouring volume-concrete rising height curve slope no longer greater than κ 下 The difference between the theoretical concrete pouring volume and the concrete pouring volume at the position where the slope of the concrete rising height curve is greater than κ minus the concrete pouring volume-concrete rising height curve slope. 下 Times the theoretical concrete pouring volume - the difference between the theoretical concrete pouring volume at the slope position of the concrete rise height curve and the concrete pouring volume.

[0039] Exemplarily, the method for distinguishing the instability of underground continuous wall groove sections based on big data analysis currently collects several underground continuous wall concrete pouring filling coefficients under similar geological conditions, arranges them in order from small to large, and finds the first quartile Q1=1.01 at the 25% position and the third quartile Q3=1.05 at the 75% position according to statistical concepts, calculates the difference IQR=0.04 between the first quartile Q1 and the third quartile Q3, and if the collected underground continuous wall concrete pouring filling coefficient is less than Q1-3IQR=0.89 or greater than Q3+3IQR=1.17, it is judged that the concrete pouring filling coefficient is an extreme outlier and is discarded, and a frequency histogram of the underground continuous wall concrete pouring filling coefficient with the extreme outlier deleted is drawn, as shown in FIG. Figure 3 As shown;

[0040] The intersection of [μ-2σ=0.96,μ+2σ=1.1] and the allowable deviation value of concrete filling coefficient specified in the standard [1.0,1.2] is taken as the reasonable range of concrete pouring filling coefficient, that is, the lower warning value κ of the underground continuous wall concrete pouring filling coefficient based on big data analysis 下 is 1.0, the upper warning value κ 上 is 1.1, draw the underground continuous wall concrete pouring curve of the project under construction under similar geological conditions, such as Figure 4 As shown, it includes a concrete theoretical pouring volume-concrete rising height curve, a concrete pouring volume-concrete rising height curve, a 1.0 times concrete theoretical pouring volume-concrete rising height curve and a 1.1 times concrete theoretical pouring volume-concrete rising height curve;

[0041] Depend on Figure 4 It can be seen that when the concrete pouring height of the underground continuous wall rises to 26.59m, the slope of the concrete pouring volume-concrete rising height curve is less than 1.1 times the slope of the theoretical concrete pouring volume-concrete rising height curve, and the problem of over-pour of concrete begins to exist. It is judged that there is a hole collapse phenomenon in the corresponding slot section. After the concrete pouring is completed, the over-pour volume is calculated. The difference between the concrete pouring volume at the end of the concrete pouring and the theoretical concrete pouring volume minus the difference between the concrete pouring volume at the position where the slope of the concrete pouring volume-concrete rising height curve begins to be less than 1.1 times the slope of the theoretical concrete pouring volume-concrete rising height curve and the theoretical concrete pouring volume is the over-pour volume, and the over-pour volume is estimated to be 70.40m 3 According to the result, it is necessary to adjust the construction parameters of the next underground continuous wall, such as reinforcing the trench wall soil, lowering the groundwater level around the trench wall, selecting mud with high viscosity and low water loss to protect the wall, limiting the load around the trench wall, selecting a guide wall with high rigidity, reducing the excavation time, and optimizing the construction sequence.

[0042] Based on a method for determining instability of underground continuous wall groove sections based on big data analysis, the present invention also provides a system for determining instability of underground continuous wall groove sections based on big data analysis, which mainly includes a data acquisition module, a data analysis module, an instability determination module and an instability control guidance module which are electrically connected in sequence;

[0043] The data acquisition module is used to obtain the lower warning value κ of the set underground continuous wall concrete pouring filling coefficient 下 and upper warning value κ 上 It is also used to obtain the theoretical concrete pouring volume of underground continuous walls of projects under construction, as well as the concrete pouring volume and concrete rising height during the pouring construction process;

[0044] The data analysis module is used to analyze the data obtained by the data acquisition module and draw a curve chart of the underground continuous wall concrete pouring of the under-construction project. The curve chart includes the concrete theoretical pouring volume-concrete rising height curve, the concrete pouring volume-concrete rising height curve, and the κ 下 times the theoretical pouring volume of concrete-concrete rise height curve and κ 上 Times the theoretical concrete pouring volume-concrete rising height curve;

[0045] The instability judgment module is used to analyze the curve graph generated by the data analysis module. If the slope of the concrete pouring volume-concrete rising height curve is less than κ 上 times the theoretical concrete pouring volume-concrete rising height curve slope, it is judged that the concrete pouring at this position is over-cubic; if the slope of the concrete pouring volume-concrete rising height curve is greater than κ 下 If the slope of the curve of times the theoretical concrete pouring volume-concrete rising height is equal to 100%, it can be judged that the concrete pouring at this location is insufficient;

[0046] The instability control guidance module is used to provide guidance on construction parameter adjustment of the next underground continuous wall after the instability identification module determines that the current underground continuous wall trench section is unstable. The guidance on construction parameter adjustment includes but is not limited to reinforcing the trench wall soil, lowering the groundwater level around the trench wall, selecting mud with high viscosity and low water loss to protect the wall, limiting the load around the trench wall, selecting a guide wall with high stiffness, reducing excavation time and optimizing the construction sequence.

[0047] Further, the data acquisition module is connected to the warning value calculation module, and the warning value calculation module is also connected to the data storage module;

[0048] The data storage module is used to store the collected concrete pouring volume and theoretical concrete pouring volume of completed underground continuous wall pouring under similar geological conditions, and also stores the concrete pouring filling coefficient calculated based on the ratio of the concrete pouring volume at the completion of pouring to the theoretical concrete pouring volume;

[0049] The warning value calculation module is used to sort the concrete pouring filling coefficients stored in the data storage module from small to large, and find the first quartile Q1 and the third quartile Q3; define the difference between the first quartile Q1 and the third quartile Q3 as IQR. If the concrete pouring filling coefficient data is less than Q1-3IQR or greater than Q3+3IQR, it is judged as an extreme outlier and discarded; draw a frequency histogram of the concrete pouring filling coefficient with the extreme outliers deleted, and calculate the average value μ and standard deviation σ of the corrected concrete pouring filling coefficient; take the intersection of [μ-2σ, μ+2σ] and the allowable deviation value of the underground continuous wall filling coefficient specified in the standard as the reasonable range of the concrete pouring filling coefficient, which corresponds to the warning value κ of the underground continuous wall concrete pouring filling coefficient based on big data analysis 下 and upper warning value κ 上 .

[0050] Furthermore, it also includes an instability calculation module electrically connected to the instability judgment module, and the instability calculation module is used to calculate the over-cubic volume of the position after the instability judgment module determines that the concrete pouring at the corresponding position is over-cubic, and the over-cubic volume is the slope of the concrete pouring volume-concrete rising height curve that is no longer less than κ 上 The difference between the concrete pouring volume at the position of the slope of the concrete rising height curve or the concrete pouring end position and the concrete theoretical pouring volume minus the concrete pouring volume-concrete rising height curve slope starting to be less than κ 上 Times the theoretical pouring volume of concrete - the difference between the concrete pouring volume at the slope position of the concrete rising height curve and the theoretical pouring volume of concrete;

[0051] It is also used to calculate the underfill volume of the corresponding position after the instability judgment module determines that the concrete pouring at the corresponding position is underfilled. The underfill volume is the slope of the concrete pouring volume-concrete rising height curve that is no longer greater than κ 下 The difference between the theoretical concrete pouring volume and the concrete pouring volume at the position where the slope of the concrete rising height curve is greater than κ minus the concrete pouring volume-concrete rising height curve slope. 下 Times the theoretical concrete pouring volume - the difference between the theoretical concrete pouring volume at the slope position of the concrete rising height curve and the concrete pouring volume;

[0052] It also includes a display module connected to the data analysis module and the instability judgment module, which is used to display the curve graph generated by the data analysis module, and is also used to display a prompt box in the slope change area of ​​the concrete pouring volume-concrete rising height curve obtained by the instability judgment module, and at the same time display the judgment result of the instability judgment module and the construction parameter adjustment guidance options for the next underground continuous wall given by the instability control guidance module after the instability judgment module judges that the current underground continuous wall groove section is unstable.

[0053] The present invention is described in detail above in conjunction with the embodiments of the accompanying drawings. A person skilled in the art can make various variations of the present invention according to the above description. Therefore, certain details in the embodiments should not constitute a limitation of the present invention, and the scope of protection of the present invention shall be defined by the scope of the attached claims.

Claims

1. A method for determining instability of underground continuous wall trench sections based on big data analysis, characterized in that: The steps include: S1. Set the lower warning value κ of the underground continuous wall concrete pouring filling coefficient 下 and upper warning value κ 上 ; S2. Draw the concrete pouring curve of underground continuous wall of the project under construction, including the concrete theoretical pouring volume-concrete rising height curve, concrete pouring volume-concrete rising height curve, κ 下 times the theoretical pouring volume of concrete-concrete rise height curve and κ 上 Times the theoretical concrete pouring volume-concrete rising height curve; S3, concrete pouring volume-concrete rise height curve, κ 下 times the theoretical pouring volume of concrete-concrete rise height curve and κ 上 Analyze the concrete theoretical pouring volume-concrete rising height curve; If the slope of the concrete pouring volume-concrete rising height curve is less than κ 上 If the slope of the curve of times the theoretical concrete pouring volume-concrete rising height is equal to 100%, it is judged that the concrete pouring at this location is over-square, which is a suspected collapse hole location; If the slope of the concrete pouring volume-concrete rising height curve is greater than κ 下 If the slope of the curve is times the theoretical concrete pouring volume - concrete rising height, it can be judged that the concrete pouring at that location is under-square, which is a suspected necking or mud-in-the-wall location.

2. The method for determining instability of underground continuous wall trench segments based on big data analysis according to claim 1 is characterized in that: In step S1, the lower warning value κ of the filling coefficient of the underground continuous wall concrete pouring 下 and upper warning value κ 上 The acquisition steps are: a. Collect the concrete pouring filling coefficients of completed underground continuous walls under the same geological conditions as the project under construction, arrange them in order from small to large, and find the first quartile Q1 and the third quartile Q3; b. Define the difference between the first quartile Q1 and the third quartile Q3 as IQR. If the concrete pouring filling coefficient data is less than Q1-3IQR or greater than Q3+3IQR, it is determined to be an extreme outlier and will be discarded. c. Draw a frequency histogram of the concrete pouring filling coefficient with the extreme outliers removed, and calculate the average value μ and standard deviation σ of the corrected concrete pouring filling coefficient; take the intersection of [μ-2σ, μ+2σ] and the allowable deviation value of the underground continuous wall filling coefficient specified in the standard as the reasonable range of the concrete pouring filling coefficient, which corresponds to the lower warning value κ of the underground continuous wall concrete pouring filling coefficient based on big data analysis 下 and upper warning value κ 上 .

3. The method for determining instability of underground continuous wall trench segments based on big data analysis according to claim 1 is characterized in that: After the step S3 determines that the corresponding position is over-cubic, the over-cubic volume of the position can be further calculated, and the over-cubic volume is the slope of the concrete pouring volume-concrete rising height curve that is no longer less than κ 上 The difference between the concrete pouring volume at the position of the slope of the concrete rising height curve or the concrete pouring end position and the concrete theoretical pouring volume minus the concrete pouring volume-concrete rising height curve slope starting to be less than κ 上 Times the theoretical pouring volume of concrete - the difference between the concrete pouring volume at the slope position of the concrete rising height curve and the theoretical pouring volume of concrete; After determining the corresponding position is underfilled in step S3, the underfill volume of the position can be further calculated, where the underfill volume is the slope of the concrete pouring volume-concrete rising height curve no longer greater than κ 下 The difference between the theoretical concrete pouring volume and the concrete pouring volume at the position where the slope of the concrete rising height curve is greater than κ minus the concrete pouring volume-concrete rising height curve slope. 下 Times the theoretical concrete pouring volume - the difference between the theoretical concrete pouring volume at the slope position of the concrete rise height curve and the concrete pouring volume.

4. The underground continuous wall groove section instability identification system based on big data analysis is characterized by: It mainly includes a data acquisition module, a data analysis module, an instability judgment module and an instability control guidance module which are electrically connected in sequence; The data acquisition module is used to obtain the lower warning value κ of the set underground continuous wall concrete pouring filling coefficient 下 and upper warning value κ 上 It is also used to obtain the theoretical concrete pouring volume of underground continuous walls of projects under construction, as well as the concrete pouring volume and concrete rising height during the pouring construction process; The data analysis module is used to analyze the data acquired by the data acquisition module and draw a concrete pouring curve diagram of the underground continuous wall of the construction project, which includes a concrete theoretical pouring volume-concrete rising height curve, a concrete pouring volume-concrete rising height curve, a κ 下 times the theoretical pouring volume of concrete-concrete rise height curve and κ 上 Times the theoretical concrete pouring volume-concrete rising height curve; The instability judgment module is used to analyze the curve graph generated by the data analysis module. If the slope of the concrete pouring volume-concrete rising height curve is less than κ 上 times the theoretical concrete pouring volume-concrete rising height curve slope, it is judged that the concrete pouring at this position is over-cubic; if the slope of the concrete pouring volume-concrete rising height curve is greater than κ 下 If the slope of the curve of times the theoretical concrete pouring volume-concrete rising height is equal to 100%, it can be judged that the concrete pouring at this location is insufficient; The instability control guidance module is used to provide construction parameter adjustment guidance for the next underground continuous wall after the instability identification module determines that the current underground continuous wall trench section is unstable. The construction parameter adjustment guidance includes but is not limited to reinforcing the trench wall soil, lowering the groundwater level around the trench wall, selecting mud with high viscosity and low water loss to protect the wall, limiting the load around the trench wall, selecting a guide wall with high rigidity, reducing excavation time and optimizing the construction sequence.

5. The underground continuous wall groove segment instability identification system based on big data analysis according to claim 4 is characterized by: The data acquisition module is connected to the early warning value calculation module, and the early warning value calculation module is also connected to the data storage module; The data storage module is used to store the collected concrete pouring volume and the theoretical concrete pouring volume during the pouring of the completed underground continuous wall under the same geological conditions, and also stores the concrete pouring filling coefficient calculated according to the ratio of the concrete pouring volume at the completion of pouring to the theoretical concrete pouring volume; The warning value calculation module is used to sort the concrete pouring filling coefficients stored in the data storage module from small to large, find the first quartile Q1 and the third quartile Q3; define the difference between the first quartile Q1 and the third quartile Q3 as IQR, and if the concrete pouring filling coefficient data is less than Q1-3IQR or greater than Q3+3IQR, it is determined to be an extreme abnormal value and discarded; Draw a frequency histogram of the concrete pouring filling coefficient with extreme outliers removed, and calculate the mean value μ and standard deviation σ of the modified concrete pouring filling coefficient; take the intersection of [μ-2σ, μ+2σ] and the allowable deviation value of the underground continuous wall filling coefficient specified in the standard as the reasonable range of the concrete pouring filling coefficient, which corresponds to the warning value κ of the underground continuous wall concrete pouring filling coefficient based on data mining 下 and upper warning value κ 上 .

6. The underground continuous wall groove segment instability identification system based on big data analysis according to claim 4 is characterized by: It also includes an instability calculation module electrically connected to the instability judgment module, and the instability calculation module is used to calculate the over-cubic volume of the position after the instability judgment module determines that the concrete pouring at the corresponding position is over-cubic, and the over-cubic volume is the slope of the concrete pouring volume-concrete rising height curve that is no longer less than κ 上 The difference between the concrete pouring volume at the position of the slope of the concrete rising height curve or the concrete pouring end position and the concrete theoretical pouring volume minus the concrete pouring volume-concrete rising height curve slope starting to be less than κ 上 Times the theoretical pouring volume of concrete - the difference between the concrete pouring volume at the slope position of the concrete rising height curve and the theoretical pouring volume of concrete; It is also used to calculate the volume of the concrete underfill at the corresponding position after the instability judgment module determines that the concrete pouring volume at the corresponding position is underfilled. The underfilled volume is the slope of the concrete pouring volume-concrete rising height curve that is no longer greater than κ 下 The difference between the theoretical concrete pouring volume and the concrete pouring volume at the position where the slope of the concrete rising height curve is greater than κ minus the concrete pouring volume-concrete rising height curve slope. 下 Times the theoretical concrete pouring volume - the difference between the theoretical concrete pouring volume at the slope position of the concrete rising height curve and the concrete pouring volume; It also includes a display module connected to the data analysis module and the instability judgment module, which is used to display the curve graph generated by the data analysis module, and is also used to display a prompt box in the slope change area of ​​the concrete pouring volume-concrete rising height curve obtained by the instability judgment module, and at the same time display the judgment result of the instability judgment module and the construction parameter adjustment guidance options for the next underground continuous wall given by the instability control guidance module after the instability judgment module judges that the current underground continuous wall groove section is unstable.