Cooperative construction monitoring system and method for pile loading behind soft soil foundation riprap slope embankment

Abstract

The invention discloses a soft soil foundation riprap slope embankment rear heaped load cooperative construction monitoring system, which comprises a heaped load monitoring module used for monitoring the settlement amount and the deformation rate of a heaped load area by adopting a video method settlement displacement observation system; the foundation monitoring module is used for monitoring the hole pressure and displacement of the foundation according to the distributed measuring points; the data processing module is used for quantifying the data mapping relation between the settlement volume and the deformation rate of the loading area and the foundation pore pressure and displacement according to the time sequence, integrating the data according to the data fusion technology and calculating the real-time safety coefficient of the foundation; and the cooperative control execution module is used for triggering a dynamic control strategy according to the safety coefficient and dynamically adjusting the stacking rate and path. The invention further discloses a collaborative construction monitoring method for piling and loading behind the soft soil foundation riprap slope embankment. According to the method, the problem of stability control in pile loading construction behind the riprap embankment of the soft soil foundation is solved, and balance between safety and construction efficiency is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of soft soil foundation treatment in civil engineering, in particular to a collaborative construction monitoring system and method for back loading of a riprap slope embankment on a soft soil foundation. Background Art

[0002] Soft soil foundations have low bearing capacity, and rear loading during the construction of riprap slope embankments can easily cause problems such as foundation settlement and lateral displacement. Traditional construction relies on manual monitoring, which has lags and cannot adjust loading parameters in real time.

[0003] Existing monitoring systems mostly use single parameter monitoring (such as displacement or settlement) and lack the ability to collaboratively analyze and feedback control multi-source data, resulting in insufficient construction risk warning.

[0004] Insufficient dynamic matching between the loading rate and sequence and the foundation consolidation process can easily lead to local instability or construction delays.

[0005] Therefore, a collaborative construction monitoring system and method for rear loading of a riprap slope embankment on a soft soil foundation is provided. Summary of the Invention

[0006] The purpose of the present invention is to overcome the existing defects and provide a collaborative construction monitoring system and method for rear loading of riprap slope embankment on soft soil foundation, which solves the problem of stability control in the rear loading construction of riprap embankment on soft soil foundation and achieves a balance between safety and construction efficiency.

[0007] The technical solution to achieve the above purpose is:

[0008] A collaborative construction monitoring system for rear loading of a riprap slope embankment on a soft soil foundation according to the present invention comprises:

[0009] The heap load monitoring module is used to monitor the settlement and deformation rate of the heap load area using a video-based settlement and displacement observation system;

[0010] The foundation monitoring module is used to monitor the pore pressure and displacement of the foundation based on the deployed measuring points;

[0011] The data processing module is used to quantify the data mapping relationship between the settlement and deformation rate of the loading area and the pore pressure and displacement of the foundation based on time series, and integrate the above data using data fusion technology to calculate the real-time safety factor of the foundation;

[0012] The collaborative control execution module is used to trigger the dynamic control strategy according to the safety factor and dynamically adjust the loading rate and path.

[0013] Preferably, the video method settlement displacement observation system includes:

[0014] Light source and imaging subsystem, used to deploy light source arrays in the loading area and collect video images of foundation settlement and site deformation;

[0015] The recognition subsystem is used to track and extract features of displacement markers in video images in real time based on computer vision algorithms;

[0016] The calculation subsystem is used to calculate the settlement and deformation rate of the loaded area based on the displacement data of the marked points;

[0017] The video-based settlement and displacement observation system is wirelessly connected to the data processing module to transmit real-time monitoring data.

[0018] Preferably, in the foundation monitoring module, two groups of measuring points are arranged, and each group of measuring points includes one pore water pressure gauge and one deep horizontal displacement gauge.

[0019] Preferably, in the data processing module,

[0020] The sliding window method is used to segment the historical monitoring data into time series and extract the fluctuation period and trend component of each parameter;

[0021] Dynamically adjust the soil permeability coefficient and shear strength weight coefficient in the finite element inverse analysis model based on the mapping relationship to optimize the accuracy of real-time safety factor calculation;

[0022] Inversely calculate the permeability and shear strength of the soil based on real-time monitored pore water pressure and displacement data;

[0023] Based on the updated soil parameters, the finite element calculation model is used to re-solve the real-time safety factor of the foundation.

[0024] Preferably, in the collaborative control execution module, when the real-time safety factor is lower than a preset threshold, a dynamic control strategy is triggered, wherein the control strategy includes:

[0025] Reduce the stacking rate from 3 layers / day to 1 layer / day;

[0026] Replan the loading area to avoid high-risk areas;

[0027] Initiate emergency reinforcement measures, which may include inserting drainage boards to accelerate consolidation or riprap at the toe of the slope to counteract the impact.

[0028] Preferably, in the collaborative control execution module, the triggering condition is:

[0029] When the real-time safety factor is lower than the first threshold, the loading rate is reduced and the loading path is replanned;

[0030] When the real-time safety factor is lower than the second threshold, the loading is suspended and emergency reinforcement measures are forcibly initiated.

[0031] The second aspect of the present invention is a collaborative construction monitoring method for back loading of a riprap slope embankment on a soft soil foundation, comprising:

[0032] Step S1, calculating the theoretical safety factor during the back loading process of the riprap slope embankment based on soil mechanics theory, and setting a first threshold and a second threshold;

[0033] Step S2: real-time acquisition and time series analysis to quantify the mapping relationship between the settlement and deformation rate of the loading area and the pore water pressure and displacement of the foundation;

[0034] Step S3, integrating the above data using data fusion technology to calculate the real-time safety factor of the foundation;

[0035] Step S4: triggering a dynamic control strategy based on the safety factor to dynamically adjust the loading rate and path.

[0036] Preferably, in step S3, the above data are integrated according to data fusion technology to calculate the real-time safety factor of the foundation, including:

[0037] The sliding window method is used to segment the historical monitoring data into time series and extract the fluctuation period and trend component of each parameter;

[0038] Dynamically adjust the soil permeability coefficient and shear strength weight coefficient in the finite element inverse analysis model based on the mapping relationship to optimize the accuracy of real-time safety factor calculation;

[0039] Inversely calculate the permeability and shear strength of the soil based on real-time monitored pore water pressure and displacement data;

[0040] Based on the updated soil parameters, the finite element calculation model is used to re-solve the real-time safety factor of the foundation.

[0041] Preferably, in step S4, when the real-time safety factor is lower than a preset threshold, a dynamic control strategy is triggered, wherein the control strategy includes:

[0042] Reduce the stacking rate from 3 layers / day to 1 layer / day;

[0043] Replan the loading area to avoid high-risk areas;

[0044] Initiate emergency reinforcement measures, including inserting drainage boards to accelerate consolidation or riprap at the slope foot to counteract pressure;

[0045] The trigger conditions are:

[0046] When the real-time safety factor is lower than the first threshold, the loading rate is reduced and the loading path is replanned;

[0047] When the real-time safety factor is lower than the second threshold, the loading is suspended and emergency reinforcement measures are forcibly initiated.

[0048] The beneficial effects of the present invention are as follows: the present invention realizes early warning of construction risks and reduces accident rates through multi-parameter collaborative monitoring and intelligent analysis; dynamically optimizes loading parameters and shortens construction period; reduces dependence on manual intervention and is suitable for construction in complex marine environments; solves the problem of stability control in loading construction behind riprap embankments on soft soil foundations and achieves a balance between safety and construction efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 This is a module diagram of a collaborative construction monitoring system for back loading of a riprap slope embankment on a soft soil foundation according to the present invention;

[0050] Figure 2 This is a schematic diagram of the on-site control of the video method settlement and displacement observation system measurement lines set up in the loading area and the embankment body in the present invention;

[0051] Figure 3 The present invention is a flow chart of a collaborative construction monitoring method for rear loading of a riprap slope embankment on a soft soil foundation. DETAILED DESCRIPTION

[0052] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. In the description of the present invention, it should be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and 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 orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.

[0053] The present invention will be further described below with reference to the accompanying drawings.

[0054] like Figure 1 As shown, a collaborative construction monitoring system for back loading of a riprap slope embankment on a soft soil foundation includes: a loading monitoring module 1, a foundation monitoring module 2, a data processing module 3 and a collaborative control execution module 4.

[0055] The heap load monitoring module 1 is used to monitor the settlement and deformation rate of the heap load area using a video method settlement and displacement observation system.

[0056] In the embodiment, the video method settlement displacement observation system includes:

[0057] Light source and imaging subsystem, used to deploy light source arrays in the loading area and collect video images of foundation settlement and site deformation;

[0058] The recognition subsystem is used to track and extract features of displacement markers in video images in real time based on computer vision algorithms;

[0059] The calculation subsystem is used to calculate the settlement and deformation rate of the loaded area based on the displacement data of the marked points;

[0060] The video method settlement and displacement observation system is wirelessly connected to the data processing module 3 to transmit real-time monitoring data.

[0061] In the embodiment, two video method settlement and displacement observation system measurement lines are set in the loading area and the embankment:

[0062] Among them, CC is the monitoring point of the old levee, 2 points; CB1-6 is the monitoring point outside the design axis of the steel cylindrical slope levee, 6 points; CB7-11 is the monitoring point outside the material shed foundation loading area, 5 points; AP is the same frequency receiving station, 2 points; B is the end target, 2 points; DBP is the solution server base station, 1 point; a total of 19 poles, such as Figure 2 As shown; there are 19 foundations, 15 cameras, 14 targets, 1 solution server, and 1 cloud platform; the two measuring lines are 50 meters apart, and the measuring points are 50 meters apart. The actual layout and specific locations of the monitoring points are slightly adjusted according to the on-site construction conditions.

[0063] The foundation monitoring module 2 is used to monitor the pore pressure and displacement of the foundation according to the arranged measuring points.

[0064] In the embodiment, two groups of measuring points are arranged, and each group of measuring points includes one pore water pressure gauge and one deep horizontal displacement gauge.

[0065] The data processing module 3 is used to quantify the data mapping relationship between the settlement amount and deformation rate of the loading area and the pore pressure and displacement of the foundation according to the time series, and integrate the above data according to the data fusion technology to calculate the real-time safety factor of the foundation.

[0066] In the embodiment, the data processing module 3 uses a sliding window method to perform time series segmentation on the historical monitoring data, and extracts the fluctuation period and trend component of each parameter; dynamically adjusts the soil permeability coefficient and shear strength weight coefficient in the finite element inverse analysis model according to the mapping relationship, and optimizes the real-time safety factor calculation accuracy; inverts the permeability coefficient and shear strength of the soil based on the real-time monitored pore water pressure and displacement data; and based on the updated soil parameters, uses the finite element calculation model to re-solve the real-time safety factor of the foundation.

[0067] The collaborative control execution module 4 is used to trigger the dynamic control strategy according to the safety factor and dynamically adjust the loading rate and path.

[0068] In an embodiment, when the real-time safety factor is lower than a preset threshold, a dynamic control strategy is triggered, wherein the control strategy includes:

[0069] (1) Reduce the loading rate from 3 layers / day to 1 layer / day;

[0070] (2) Replan the loading area to avoid high-risk areas;

[0071] (3) Initiate emergency reinforcement measures, including inserting drainage boards to accelerate consolidation or dumping rocks at the toe of the slope to counteract the impact.

[0072] In the embodiment, the triggering conditions are:

[0073] When the real-time safety factor is lower than the first threshold (1.2), the loading rate is reduced and the loading path is replanned, corresponding to (1) and (2) in the control strategy;

[0074] When the real-time safety factor is lower than the second threshold (1.0), the loading is suspended and emergency reinforcement measures are forcibly initiated, corresponding to (3) in the control strategy.

[0075] like Figure 3 As shown, a collaborative construction monitoring method for back loading of a riprap slope embankment on a soft soil foundation comprises:

[0076] Step S1, calculating the theoretical safety factor during the rear loading process of the riprap slope embankment based on soil mechanics theory, and setting a first threshold and a second threshold.

[0077] Step S2: real-time data collection and time series analysis are used to quantify the mapping relationship between the settlement and deformation rate of the loading area and the pore water pressure and displacement of the foundation.

[0078] Step S3: Integrate the above data using data fusion technology to calculate the real-time safety factor of the foundation.

[0079] In the embodiment, the above data are integrated according to the data fusion technology to calculate the real-time safety factor of the foundation, including:

[0080] The sliding window method is used to segment the historical monitoring data into time series and extract the fluctuation period and trend component of each parameter;

[0081] Dynamically adjust the soil permeability coefficient and shear strength weight coefficient in the finite element inverse analysis model based on the mapping relationship to optimize the accuracy of real-time safety factor calculation;

[0082] Inversely calculate the permeability and shear strength of the soil based on real-time monitored pore water pressure and displacement data;

[0083] Based on the updated soil parameters, the finite element calculation model is used to re-solve the real-time safety factor of the foundation.

[0084] Step S4: triggering a dynamic control strategy based on the safety factor to dynamically adjust the loading rate and path.

[0085] In an embodiment, when the real-time safety factor is lower than a preset threshold, a dynamic control strategy is triggered, wherein the control strategy includes:

[0086] Reduce the stacking rate from 3 layers / day to 1 layer / day;

[0087] Replan the loading area to avoid high-risk areas;

[0088] Initiate emergency reinforcement measures, including inserting drainage boards to accelerate consolidation or riprap at the slope foot to counteract pressure;

[0089] The trigger conditions are:

[0090] When the real-time safety factor is lower than the first threshold, the loading rate is reduced and the loading path is replanned;

[0091] When the real-time safety factor is lower than the second threshold, the loading is suspended and emergency reinforcement measures are forcibly initiated.

[0092] Through the system provided by the present invention, three local settlement risks were successfully warned during construction, and no collapse occurred after the loading path was dynamically adjusted; the total construction period was shortened by 18% compared to the original plan.

[0093] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A collaborative construction monitoring system for back loading of riprap slope embankment on soft soil foundation, characterized in that: include: The heap load monitoring module is used to monitor the settlement and deformation rate of the heap load area using a video-based settlement and displacement observation system; The foundation monitoring module is used to monitor the pore pressure and displacement of the foundation based on the deployed measuring points; The data processing module is used to quantify the data mapping relationship between the settlement and deformation rate of the loading area and the pore pressure and displacement of the foundation based on time series, and integrate the above data using data fusion technology to calculate the real-time safety factor of the foundation; The collaborative control execution module is used to trigger the dynamic control strategy according to the safety factor and dynamically adjust the loading rate and path.

2. The collaborative construction monitoring system for rear loading of a riprap slope embankment on a soft soil foundation according to claim 1, characterized in that: The video method settlement displacement observation system includes: Light source and imaging subsystem, used to deploy light source arrays in the loading area and collect video images of foundation settlement and site deformation; The recognition subsystem is used to track and extract features of displacement markers in video images in real time based on computer vision algorithms; The calculation subsystem is used to calculate the settlement and deformation rate of the loaded area based on the displacement data of the marked points; The video-based settlement and displacement observation system is wirelessly connected to the data processing module to transmit real-time monitoring data.

3. The collaborative construction monitoring system for rear loading of riprap slope embankment on soft soil foundation according to claim 1, characterized in that: In the foundation monitoring module, two groups of measuring points are arranged, and each group of measuring points includes a pore water pressure gauge and a deep horizontal displacement gauge.

4. The collaborative construction monitoring system for rear loading of a riprap slope embankment on a soft soil foundation according to claim 1, characterized in that: In the data processing module, The sliding window method is used to segment the historical monitoring data into time series and extract the fluctuation period and trend component of each parameter; Dynamically adjust the soil permeability coefficient and shear strength weight coefficient in the finite element inverse analysis model based on the mapping relationship to optimize the accuracy of real-time safety factor calculation; Inversely calculate the permeability and shear strength of the soil based on real-time monitored pore water pressure and displacement data; Based on the updated soil parameters, the finite element calculation model is used to re-solve the real-time safety factor of the foundation.

5. The collaborative construction monitoring system for rear loading of riprap slope embankment on soft soil foundation according to claim 1, characterized in that: In the collaborative control execution module, when the real-time safety factor is lower than a preset threshold, a dynamic control strategy is triggered, wherein the control strategy includes: Reduce the stacking rate from 3 layers / day to 1 layer / day; Replan the loading area to avoid high-risk areas; Initiate emergency reinforcement measures, which may include inserting drainage boards to accelerate consolidation or riprap at the toe of the slope to counteract the impact.

6. The collaborative construction monitoring system for back loading of riprap slope embankment on soft soil foundation according to claim 1, characterized in that: In the collaborative control execution module, the triggering conditions are: When the real-time safety factor is lower than the first threshold, the loading rate is reduced and the loading path is replanned; When the real-time safety factor is lower than the second threshold, the loading is suspended and emergency reinforcement measures are forcibly initiated.

7. A collaborative construction monitoring method for back loading of riprap slope embankment on soft soil foundation, characterized in that: include: Step S1, calculating the theoretical safety factor during the back loading process of the riprap slope embankment based on soil mechanics theory, and setting a first threshold and a second threshold; Step S2: real-time acquisition and time series analysis to quantify the mapping relationship between the settlement and deformation rate of the loading area and the pore water pressure and displacement of the foundation; Step S3, integrating the above data using data fusion technology to calculate the real-time safety factor of the foundation; Step S4: triggering a dynamic control strategy based on the safety factor to dynamically adjust the loading rate and path.

8. The collaborative construction monitoring method for rear loading of a riprap slope embankment on a soft soil foundation according to claim 7, characterized in that: In step S3, the above data are integrated according to data fusion technology to calculate the real-time safety factor of the foundation, including: The sliding window method is used to segment the historical monitoring data into time series and extract the fluctuation period and trend component of each parameter; Dynamically adjust the soil permeability coefficient and shear strength weight coefficient in the finite element inverse analysis model based on the mapping relationship to optimize the accuracy of real-time safety factor calculation; Inversely calculate the permeability and shear strength of the soil based on real-time monitored pore water pressure and displacement data; Based on the updated soil parameters, the finite element calculation model is used to re-solve the real-time safety factor of the foundation.

9. The collaborative construction monitoring method for rear loading of a riprap slope embankment on a soft soil foundation according to claim 7, characterized in that: In step S4, when the real-time safety factor is lower than a preset threshold, a dynamic control strategy is triggered, wherein the control strategy includes: Reduce the stacking rate from 3 layers / day to 1 layer / day; Replan the loading area to avoid high-risk areas; Initiate emergency reinforcement measures, including inserting drainage boards to accelerate consolidation or riprap at the slope foot to counteract pressure; The trigger conditions are: When the real-time safety factor is lower than the first threshold, the loading rate is reduced and the loading path is replanned; When the real-time safety factor is lower than the second threshold, the loading is suspended and emergency reinforcement measures are forcibly initiated.

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