Foundation pit stability monitoring method

Abstract

The invention discloses a foundation pit stability monitoring method, and relates to the technical field of foundation pit stability monitoring, and the method comprises the steps: monitoring and collecting an nth monitoring displacement value Wn of a current foundation pit in real time through a monitoring data collection module, and extracting and collecting a first monitoring displacement value W1, an (n-1) th monitoring displacement value Wn-1 and a last predicted displacement value Wlast.vt of the current foundation pit, the method comprises the following steps of: calculating and outputting an adjustment factor X, a displacement change rate WL, a stability index WD and a current predicted displacement value Wvt in sequence by using a data processing and predicting module according to an error between a previous predicted displacement value Wlast.vt and an nth monitored displacement value Wn before the current predicted displacement value Wvt is calculated, and calculating and outputting the current predicted displacement value Wvt according to the error between the previous predicted displacement value Wlast.vt and the nth monitored displacement value Wn after the current predicted displacement value Wvt is calculated. According to the method, by means of the relevance of error adjustment and correction and foundation pit monitoring calculation, the prediction accuracy is remarkably improved, real-time dynamic feedback and adjustment are achieved, and the robustness of the system is enhanced.

Description

Technical Field

[0001] The invention relates to the technical field of foundation pit stability monitoring, and in particular to a foundation pit stability monitoring method. Background Art

[0002] Foundation pit engineering is a common type of construction in civil engineering and is widely used in subway construction, road widening, and house construction. However, there are many safety hazards in the construction process of foundation pit engineering, specifically foundation pit collapse and soil collapse. These risks not only threaten the lives of construction workers, but may also have serious impacts on surrounding buildings and residents. Therefore, foundation pit stability monitoring has become an important means to ensure project safety and reduce construction risks.

[0003] Foundation pit stability monitoring is a vital task in civil engineering, which is directly related to the safety and reliability of the project. Traditional foundation pit stability monitoring methods mainly rely on manual measurement and data analysis, which is not only time-consuming and labor-intensive, but also easily affected by human factors, resulting in the accuracy and reliability of the monitoring results being questioned. With the advancement of science and technology and the development of sensor technology, modern foundation pit stability monitoring methods are gradually turning to automation and intelligence. The automated monitoring system can collect the displacement data of the foundation pit in real time, and analyze and process these data through a series of complex algorithms and models, thereby realizing real-time monitoring and early warning of the foundation pit stability.

[0004] Existing monitoring methods usually use a single prediction model to predict the displacement changes of foundation pits. This model often cannot accurately reflect the nonlinear characteristics and uncertainty factors of foundation pit displacement, resulting in inaccurate prediction results. In addition, when the prediction error is large, the existing monitoring system often cannot be adjusted and optimized in time, and lacks a real-time feedback mechanism to correct the prediction model and improve the accuracy of the prediction. In addition, the existing monitoring system usually requires complex processing and analysis of a large amount of displacement data, which not only increases the computing cost, but may also lead to error accumulation in the data processing process. Summary of the invention

[0005] The purpose of the present invention is to provide a foundation pit stability monitoring method to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solution, and the specific implementation steps are as follows: Step S1: Using the monitoring data acquisition module, real-time monitoring and acquisition of the nth monitoring displacement value W of the current foundation pit n , extract and collect the first monitoring displacement value W1 and the n-1th monitoring displacement value W of the current foundation pit n-1 , the last predicted displacement value W last.vt , and the stability index WD of the first m foundation pits in the same construction site; Step S2: Based on the last predicted displacement value W last.vt And the nth monitoring displacement value W n The error is calculated by using the data processing prediction module to calculate the output adjustment factor X, displacement change rate WL, stability index WD, current predicted displacement value W vt ; Among them, the current predicted displacement value W vt Before calculation, according to the last predicted displacement value W last.vt And the nth monitoring displacement value W n The error of the prediction is adjusted by calculating the error; The data processing prediction module includes an error calculation and adjustment unit, a unit reflecting the dynamic displacement change of the foundation pit, a unit reflecting the current stable state of the foundation pit, and a unit predicting the displacement trend.

[0007] Optionally, the equipment used by the monitoring data acquisition module includes a displacement sensor and a data acquisition system; The equipment used by the data processing prediction module includes computers and software systems, and the computers and software systems are used for data processing calculations, prediction analysis, and real-time monitoring.

[0008] Optionally, the calculation formula of the error calculation adjustment unit is as follows: V=|W n -W last.vt |; X=(W n / W last.vt )×[1-V / (W1×R)]; in: X is the adjustment factor; V is the prediction error; W n is the nth monitoring displacement value, W n Reflects the real-time displacement value currently monitored by the displacement sensor; W last.vt is the last predicted displacement value; W1 is the displacement value monitored for the first time; R is the error value. According to the provisions of JGJ8-2007 in the "Code for Measurement of Building Deformation", the centering error shall not exceed 0.1mm, and R is set to 0.1.

[0009] Optionally, the calculation formula of the foundation pit dynamic displacement change unit is as follows: WL=[|W n -W n-1 | / W1]×100%; in: WL is the displacement change rate; W n-1 is the displacement value monitored for the n-1th time, W n-1 Reflects the last real-time displacement value monitored by the displacement sensor.

[0010] Optionally, the calculation formula reflecting the current stable state unit of the foundation pit is as follows: ; in: WD is the stability index; WDH is the stability threshold, and WDH reflects the stability of the first m foundation pits in the same construction site; W avg To monitor the average displacement, W avg Reflects the average degree of displacement values ​​monitored for the previous n-1 times.

[0011] Optionally, the calculation formula of the stability threshold WDH is as follows: WDH=(WD old1 +WD old2 +WD old3 +......+WD oldm ) / m; m is the total number of other foundation pits; WD old1 is the first foundation pit stability threshold, WD old2 is the second foundation pit stability threshold, WD old3 is the third foundation pit stability threshold, WD oldm is the mth foundation pit stability threshold; The monitoring displacement average value W avg The calculation formula is as follows: W avg =(W1+W2+W3+......+W n-1 ) / n-1; n-1 is the number of the previous n-1 monitoring times, and n-1 reflects the total number of monitoring times of the current foundation pit from the first to the n-1th monitoring times; W1 is the displacement value of the first monitoring, W2 is the displacement value of the second monitoring, W3 is the displacement value of the third monitoring, and W n-1 This is the n-1th monitoring displacement value.

[0012] Optionally, the calculation formula of the predicted displacement trend unit is as follows: ; in: W vt is the current predicted displacement value, W vt Reflects the prediction of the next displacement value; n is the total number of monitoring times, and n reflects the total number of monitoring times of the current foundation pit from the first monitoring to the current monitoring.

[0013] Optionally, the error calculation adjustment unit and the displacement trend prediction unit calculate: If V=0, it means that the current monitoring calculation error is 0, and the original calculation formula reflecting the current stable state unit of the foundation pit should be used. ” Make computational predictions; If V>0 / V<0, it means that there is an error in the current monitoring calculation and the value should be calculated according to "X=(W n / W vt )×[1-V / (W1×R)]” calculation formula is used to calculate the output adjustment factor X, and the adjustment factor X is used as the input value to input the unit reflecting the current stable state of the foundation pit for calculation and prediction, as follows: .

[0014] Optionally, the current predicted displacement value W vt When entering the next monitoring calculation, as the input value, the adjustment factor X after calculating the error in the error calculation adjustment unit is input, specifically W last.vt Replace with W vt , the calculation formula for the next error calculation adjustment unit is as follows: V=|W n -W vt |; X=(W n / W vt )×[1-V / (W1×R)].

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention places the error calculation and adjustment unit in advance, which means that error evaluation and adjustment will be performed immediately before each prediction, thereby realizing real-time optimization of the prediction model. This real-time feedback mechanism can significantly improve the accuracy and reliability of the prediction, and establishes a real-time feedback mechanism that can promptly detect and correct errors in the prediction model, thereby realizing real-time optimization of the prediction model. Through the real-time monitoring and early warning mechanism, foundation pit stability problems can also be promptly discovered and corresponding measures can be taken, thereby ensuring the safety of the project.

[0016] 2. The dynamic displacement change unit of the foundation pit of the present invention can intuitively reflect the change speed and trend of the foundation pit displacement by calculating the displacement change rate WL, which is used for the subsequent calculation of the stability index WD and the current predicted displacement value WL. vt Provide basic data.

[0017] 3. The unit reflecting the current stable state of the foundation pit of the present invention uses the displacement change rate WL and the nth monitoring displacement value Wn , combined with the preset calculated stability threshold WDH, the stability index WD is calculated. The stability index WD can reflect the stability of the foundation pit in the current state and provide a basis for predicting the next displacement value.

[0018] 4. The predicted displacement trend unit of the present invention predicts the current predicted displacement value W based on the current stability index WD and the displacement data monitored in the previous times. vt However, due to the error in the prediction model, the accuracy of the prediction is evaluated by error calculation. If there is an error in the prediction, the adjustment factor X will be introduced to correct the predicted displacement trend unit to obtain a new prediction formula to improve the accuracy of the prediction. The new prediction formula is: . BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is the method flow chart of the foundation pit stability monitoring method; Figure 2 It is a structural schematic diagram of the data processing prediction module of the present invention; Figure 3 Schematic diagram of adjustment steps of the error calculation adjustment unit in the present invention; Figure 4 This is a schematic diagram of the structure in which relevant parameters in this foundation pit stability monitoring method are replaced during iteration. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] Regarding this foundation pit stability monitoring method, it is different from the existing monitoring methods. The existing monitoring methods cannot accurately reflect the nonlinear characteristics and uncertainty factors of the foundation pit displacement, and lack a real-time feedback mechanism to correct the prediction model. This algorithm unit significantly improves the accuracy of the prediction, realizes real-time dynamic feedback and adjustment, and enhances the robustness of the system.

[0022] For example, see Figures 1 to 4 This implementation provides a foundation pit stability monitoring method, and the specific implementation steps are as follows: Step S1: Using the monitoring data acquisition module, real-time monitoring and acquisition of the nth monitoring displacement value W of the current foundation pit n , extract and collect the first monitoring displacement value W1 and the n-1th monitoring displacement value W of the current foundation pitn-1 , the last predicted displacement value W last.vt , and the stability index WD of the first m foundation pits in the same construction site; Step S2: Based on the last predicted displacement value W last.vt And the nth monitoring displacement value W n The error is calculated by using the data processing prediction module to calculate the output adjustment factor X, displacement change rate WL, stability index WD, current predicted displacement value W vt ; Among them, the current predicted displacement value W vt Before calculation, according to the last predicted displacement value W last.vt And the nth monitoring displacement value W n The error of the prediction is adjusted by calculating the error; The data processing prediction module includes an error calculation and adjustment unit, a unit reflecting the dynamic displacement change of the foundation pit, a unit reflecting the current stable state of the foundation pit, and a unit predicting the displacement trend; The equipment used in the monitoring data acquisition module includes displacement sensors and data acquisition systems; The equipment used in the data processing prediction module includes computers and software systems, which are used for data processing calculations, prediction analysis, and real-time monitoring.

[0023] In this embodiment, the system forms a complete and efficient foundation pit stability monitoring system through the cooperation of four algorithm units. vt Four calculation results, specifically, X is the adjustment factor, which uses the method of pre-calculating the error to achieve the purpose of automatically adjusting the prediction calculation error. WL is the displacement change rate, which can intuitively reflect the dynamic change of the foundation pit displacement and is one of the important indicators for evaluating the stability of the foundation pit. By continuously monitoring and calculating the displacement change rate, the abnormal change of the foundation pit displacement can be discovered in time. WD is the stability index. By calculating the stability index WD, the stability status of the foundation pit in the current state can be intuitively understood, providing a basis for construction decisions. At the same time, the change trend of the stability index WD can also reflect the future trend of the foundation pit stability. W vt is the current predicted displacement value. This predicted value can reveal the future displacement trend of the foundation pit in advance. Through displacement prediction, potential displacement anomalies can be discovered in time, and measures can be taken in advance to reduce construction risks. In addition, W vt We will also continue to optimize the prediction model through X to improve the accuracy and reliability of displacement prediction, and W vt The calculation result can also affect the next calculation of X, thereby realizing real-time update and adjustment of the monitoring method.

[0024] See also Figures 1 to 4, the calculation formula of the error calculation adjustment unit is as follows: V=|W n -W last.vt |; X=(W n / W last.vt )×[1-V / (W1×R)]; in: X is the adjustment factor; V is the prediction error; W n is the nth monitoring displacement value, W n Reflects the real-time displacement value currently monitored by the displacement sensor; W last.vt is the last predicted displacement value; W1 is the displacement value monitored for the first time; R is the error value. According to the provisions of JGJ8-2007 in the "Code for Measurement of Building Deformation", the centering error shall not exceed 0.1mm, and R is set to 0.1.

[0025] In this embodiment: First, the algorithm unit places the error calculation adjustment unit in front of the error calculation adjustment unit, and then calculates the displacement change rate WL, the stability index WD and the current predicted displacement value WL. vt Before prediction, the last predicted displacement value W is last.vt The actual nth monitoring displacement value W n Quantitative evaluation of errors helps to timely detect and correct deviations in the prediction model, thereby improving the accuracy of monitoring data. Accurate monitoring data is the basis for subsequent analysis and decision-making, so this step is crucial to ensure the reliability of the entire monitoring process; The introduction of the adjustment factor X in the error calculation adjustment unit provides real-time adjustment for optimizing the prediction model. By continuously adjusting the X value, the displacement value actually monitored is gradually approached, thereby improving the accuracy of the prediction model. This iterative optimization process enables the prediction model to better adapt to changes in actual monitoring data and improve the accuracy and reliability of the prediction. Although placing the error calculation adjustment unit in front will increase some calculation workload, in the long run, this will help reduce repeated monitoring and correction work caused by inaccurate predictions. Therefore, this step actually helps to improve the work efficiency of the entire monitoring process. At the same time, accurate prediction results can also provide clearer directions and goals for subsequent maintenance and management, thereby further improving work efficiency. In summary, placing the error calculation adjustment unit in advance for error calculation has significant beneficial effects on improving the accuracy of monitoring data, optimizing prediction models, enhancing scientific decision-making and improving work efficiency. This step is of great significance for ensuring the reliability and safety of foundation pit monitoring projects.

[0026] See also Figures 1 to 4 , the calculation formula reflecting the dynamic displacement change unit of the foundation pit is as follows: WL=[|W n -W n-1 | / W1]×100%; in: WL is the displacement change rate; W n-1 is the displacement value monitored for the n-1th time, W n-1 Reflects the last real-time displacement value monitored by the displacement sensor.

[0027] In this embodiment, first, “|W n -W n-1 |"The calculation part calculates the last predicted displacement value W last.vt The actual displacement value W of the nth monitoring n The absolute difference in displacement between the two values ​​reflects the displacement change of the foundation pit during this period of time. The difference is used to calculate the displacement change rate WL. By comparing it with the first monitoring displacement value W1, the percentage of displacement change is obtained. This percentage can intuitively reflect the change speed and trend of the foundation pit displacement. W1 is the first monitoring displacement value, which is used as the reference value to normalize the displacement change, making the displacement change rate WL a dimensionless percentage value, which is convenient for comparison and analysis. This algorithm unit can accurately capture the slight changes in foundation pit displacement through the displacement change rate WL. Such changes often indicate potential problems with foundation pit stability. By continuously monitoring and calculating the displacement change rate WL, displacement anomalies can be discovered in time, and early warnings can be provided, so that necessary measures can be taken to prevent accidents. Compared with traditional manual measurement and data analysis, the calculation process of the unit reflecting the dynamic displacement change of the foundation pit is more efficient and accurate. It can provide a large amount of displacement change data in a short time, and then provide real-time foundation pit stability assessment, which helps to improve the efficiency and quality of the entire monitoring process; The displacement change rate WL is not only the basic data reflecting the current stable state unit of the foundation pit and the calculation of the predicted displacement trend unit, but also the core of the entire foundation pit stability monitoring system. Its accuracy directly affects the calculation of the subsequent stability index WD and the current predicted displacement value WL. vt Therefore, the precise calculation of the unit reflecting the dynamic displacement change of the foundation pit lays a solid foundation for subsequent analysis.

[0028] See also Figures 1 to 4 , the calculation formula reflecting the current stable state unit of the foundation pit is as follows: ; in: WD is the stability index; WDH is the stability threshold, and WDH reflects the stability of the first m foundation pits in the same construction site; W avg To monitor the average displacement, W avg Reflects the average degree of displacement values ​​monitored in the previous n-1 times; The calculation formula of the stability threshold WDH is as follows: WDH=(WD old1 +WD old2 +WD old3 +......+WD oldm ) / m; m is the total number of other foundation pits; WD old1 is the first foundation pit stability threshold, WD old2 is the second foundation pit stability threshold, WD old3 is the third foundation pit stability threshold, WD oldm is the mth foundation pit stability threshold; Monitor displacement average value W avg The calculation formula is as follows: W avg =(W1+W2+W3+......+W n-1 ) / n-1; n-1 is the number of the previous n-1 monitoring times, and n-1 reflects the total number of monitoring times of the current foundation pit from the first to the n-1th monitoring times; W1 is the displacement value of the first monitoring, W2 is the displacement value of the second monitoring, W3 is the displacement value of the third monitoring, and W n-1 This is the n-1th monitoring displacement value.

[0029] In this embodiment, the algorithm unit first subtracts the displacement change rate WL from the preset stability threshold WDH in the "WDH-WL" calculation part to obtain a difference reflecting the relative degree of foundation pit stability. This difference is used to calculate a part of the stability index WD, reflecting the gap between the current state of the foundation pit and the ideal stable state. The calculation part calculates an adjustment item to correct the calculation of the stability index WD. This adjustment item takes into account the nth monitoring displacement value W n To the n-1th monitoring displacement value W n-1 The displacement change of the difference is relative to the first monitoring displacement value W1 and the monitoring displacement average value W avgThe ratio of the sum, by introducing this adjustment term, can more accurately reflect the changes in the stability of the foundation pit at different monitoring stages, making the stability index WD more reliable; In this algorithm unit, the stability index WD can be used to quantitatively evaluate the stability of the foundation pit in the current state. By comparing the stability index WD with the stability threshold WDH, that is, the stability of the current foundation pit and the previous m foundation pits in the same construction site, the stability of the foundation pit can be intuitively understood, providing a basis for construction decisions. It is worth noting that the changing trend of the stability index WD can reflect the future direction of foundation pit stability. When the stability index WD is low, an early warning can be issued in time and necessary measures can be taken to prevent accidents. This early warning mechanism helps to reduce construction risks and ensure the safety of construction workers and surrounding buildings. The calculation results of the stability index WD can also provide an important basis for the optimization of construction plans. Specifically, when the stability index WD shows that the foundation pit stability is poor, the excavation sequence can be adjusted and support measures can be strengthened to improve the safety and efficiency of foundation pit construction.

[0030] See also Figures 1 to 4 , the calculation formula for predicting displacement trend unit is as follows: ; in: W vt is the current predicted displacement value, W vt Reflects the prediction of the next displacement value; n is the total number of monitoring times, which reflects the total number of monitoring times of the current foundation pit from the first monitoring to the current monitoring; Based on the calculation of the error calculation adjustment unit and the predicted displacement trend unit, If V=0, it means that the current monitoring calculation error is 0, and the original calculation formula reflecting the current stable state unit of the foundation pit should be used. ” Make computational predictions; If V>0 / V<0, it means that there is an error in the current monitoring calculation and the value should be calculated according to "X=(W n / W vt )×[1-V / (W1×R)]” calculation formula is used to calculate the output adjustment factor X, and the adjustment factor X is used as the input value to input the unit reflecting the current stable state of the foundation pit for calculation and prediction, as follows: .

[0031] In this embodiment, the algorithm unit " The calculation part is based on the current nth monitoring displacement value W n Based on, plus the nth monitoring displacement value W n And the n-1th monitoring displacement value W n-1, a preliminary displacement prediction value is obtained. This calculation part reflects the linear growth trend of the displacement. This preliminary prediction value is used for further adjustment to obtain a more accurate current predicted displacement value W vt , and by introducing the stability index WD and the adjustment term " ", which can reflect the nonlinear variation characteristics of foundation pit displacement; By the current predicted displacement value W vt , can understand the future displacement trend of the foundation pit in advance, so as to rationally plan the construction steps and resource allocation, which helps to ensure the smooth progress of the construction process and improve the construction efficiency. The current predicted displacement value W vt It helps to find potential displacement anomalies in time, so as to take measures in advance to reduce construction risks. At the same time, through the prediction results, the monitoring frequency and support measures can be reasonably adjusted to avoid unnecessary waste of resources and reduce construction costs. The current predicted displacement value W vt It also provides more scientific and accurate data support for construction decision-making, and then formulates more reasonable construction plans and monitoring plans based on the prediction results, realizing refined management and intelligent control of the construction process; The predicted displacement trend unit is used to predict the current predicted displacement value W vt By placing the error calculation and adjustment unit in front, the prediction error V can be calculated immediately after each monitoring, and the adjustment factor X in the prediction model can be adjusted according to V. In this way, the current predicted displacement value W vt It will be closer to the actual displacement value, that is, the next n-th monitoring displacement value W n , thereby improving the accuracy of prediction; The unit reflecting the dynamic displacement change of the foundation pit calculates the displacement change rate WL, which reflects the change trend of the foundation pit displacement. The unit reflecting the current stable state of the foundation pit calculates the stability index WD, which is used to evaluate the stability state of the foundation pit. These two formulas provide important input data for the prediction of the displacement trend unit. When the error calculation adjustment unit is placed in front, we can more accurately evaluate the reliability of the displacement change rate WL and the stability index WD, and then more accurately predict the next displacement value; After the error calculation and adjustment unit is placed in front, real-time monitoring and adjustment can be achieved. Each time a new n-th monitoring displacement value W is detected n After that, the displacement change rate WL, stability index WD and current predicted displacement value WL will be calculated immediately. vt , and compare it with the actual value to calculate the prediction error V. Then, we adjust the X value according to V to get the new current predicted displacement value W vt This process is real-time, ensuring that the stability of the foundation pit can be monitored at any time and adjustments can be made in a timely manner; Through real-time feedback and adjustment, the monitoring strategy can also be optimized. Specifically, when it is found that the prediction error V is large, the monitoring frequency can be increased and the position of the monitoring point can be adjusted to obtain more accurate displacement data. In this way, the stability of the foundation pit can be monitored more effectively and the possibility of collapse risk can be reduced. After the error calculation and adjustment unit is placed in front, the monitoring system can better cope with various uncertain factors. Specifically, the geological conditions of the foundation pit and the disturbances during the construction process will affect the displacement value. By calculating the prediction error in real time and adjusting the prediction model, the impact of these uncertain factors on the prediction results can be reduced, thereby enhancing the robustness of the system. In addition, placing the error calculation and adjustment unit in front of the system can also help achieve long-term stability monitoring. By continuously optimizing the prediction model and adjusting the monitoring strategy, it can ensure that the monitoring system always maintains good performance during long-term operation, providing reliable protection for the stability of the foundation pit. In summary, the error calculation and adjustment unit is placed in advance, and the last predicted displacement value W last.vt Error adjustment calculations for the predicted displacement trend unit can significantly improve the accuracy of the prediction, achieve real-time feedback and adjustment, and enhance the robustness of the system. These beneficial effects are closely related to the unit reflecting the dynamic displacement change of the foundation pit, the unit reflecting the current stable state of the foundation pit, and the predicted displacement trend unit, which together constitute a complete and accurate foundation pit stability monitoring system.

[0032] For example 2, please refer to Figures 1 to 4 , the current predicted displacement value W vt When entering the next monitoring calculation, as the input value, the adjustment factor X after calculating the error in the error calculation adjustment unit is input, specifically W last.vt Replace with W vt , the calculation formula for the next error calculation adjustment unit is as follows: V=|W n -W vt |; X=(W n / W vt )×[1-V / (W1×R)].

[0033] In this embodiment, the error calculation and adjustment unit is used to evaluate the accuracy of the prediction model in real time, and the adjustment factor X in the prediction model is adjusted according to the error size. This continuous optimization mechanism helps to improve the accuracy and reliability of the prediction and provide more accurate data support for construction decisions. The cyclic influence mechanism of the predicted displacement trend unit on the unit reflecting the dynamic displacement change of the foundation pit enables the monitoring system to better adapt to different geological conditions and construction environments. By continuously adjusting and optimizing the prediction model, the monitoring system can more accurately reflect the actual situation of the foundation pit stability and improve the adaptability and robustness of the monitoring system. The cyclical influence mechanism of the predicted displacement trend unit on the unit reflecting the dynamic displacement change of the foundation pit not only optimizes the prediction model, but also promotes the innovation and development of construction technology. It can then continuously optimize the construction plan and monitoring plan based on the prediction results and monitoring data, and realize the intelligent control and refined management of the construction process.

[0034] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for monitoring foundation pit stability, characterized in that: The specific implementation steps are as follows: Step S1: Using the monitoring data acquisition module, real-time monitoring and acquisition of the nth monitoring displacement value W of the current foundation pit n , extract and collect the first monitoring displacement value W1 and the n-1th monitoring displacement value W of the current foundation pit n-1 , the last predicted displacement value W last.vt , and the stability index WD of the first m foundation pits in the same construction site; Step S2: Based on the last predicted displacement value W last.vt And the nth monitoring displacement value W n The error is calculated by using the data processing prediction module to calculate the output adjustment factor X, displacement change rate WL, stability index WD, current predicted displacement value W vt ; Among them, the current predicted displacement value W vt Before calculation, according to the last predicted displacement value W last.vt And the nth monitoring displacement value W n The error of the prediction is adjusted by calculating the error; The data processing prediction module includes an error calculation and adjustment unit, a unit reflecting the dynamic displacement change of the foundation pit, a unit reflecting the current stable state of the foundation pit, and a unit predicting the displacement trend.

2. A foundation pit stability monitoring method according to claim 1, characterized in that: The equipment used in the monitoring data acquisition module includes a displacement sensor and a data acquisition system; The equipment used by the data processing prediction module includes computers and software systems, and the computers and software systems are used for data processing calculations, prediction analysis, and real-time monitoring.

3. A foundation pit stability monitoring method according to claim 2, characterized in that: The calculation formula of the error calculation adjustment unit is as follows: V=|W n -W last.vt |; X=(W n / W last.vt )×[1-V / (W1×R)]; in: X is the adjustment factor; V is the prediction error; W n is the nth monitoring displacement value, W n Reflects the real-time displacement value currently monitored by the displacement sensor; W last.vt is the last predicted displacement value; W1 is the displacement value monitored for the first time; R is the error value, and R is set to 0.

1.

4. A foundation pit stability monitoring method according to claim 3, characterized in that: The calculation formula reflecting the dynamic displacement change unit of the foundation pit is as follows: WL=[|W n -W n-1 | / W1]×100%; in: WL is the displacement change rate; W n-1 is the displacement value monitored for the n-1th time, W n-1 Reflects the last real-time displacement value monitored by the displacement sensor.

5. A foundation pit stability monitoring method according to claim 4, characterized in that: The calculation formula reflecting the current stable state unit of the foundation pit is as follows: ； in: WD is the stability index; WDH is the stability threshold, and WDH reflects the stability of the first m foundation pits in the same construction site; W avg To monitor the average displacement, W avg Reflects the average degree of displacement values ​​monitored for the previous n-1 times.

6. A foundation pit stability monitoring method according to claim 5, characterized in that: The calculation formula of the stability threshold WDH is as follows: WDH=(WD old1 +WD old2 +WD old3 +......+WD oldm ) / m; m is the total number of other foundation pits; WD old1 is the first foundation pit stability threshold, WD old2 is the second foundation pit stability threshold, WD old3 is the third foundation pit stability threshold, WD oldm is the mth foundation pit stability threshold; The monitoring displacement average value W avg The calculation formula is as follows: W avg =(W1+W2+W3+......+W n-1 ) / n-1; n-1 is the number of the previous n-1 monitoring times, and n-1 reflects the total number of monitoring times of the current foundation pit from the first to the n-1th monitoring times; W1 is the displacement value of the first monitoring, W2 is the displacement value of the second monitoring, W3 is the displacement value of the third monitoring, and W n-1 This is the n-1th monitoring displacement value.

7. A foundation pit stability monitoring method according to claim 6, characterized in that: The calculation formula of the predicted displacement trend unit is as follows: ； in: W vt is the current predicted displacement value, W vt Reflects the prediction of the next displacement value; n is the total number of monitoring times, and n reflects the total number of monitoring times of the current foundation pit from the first monitoring to the current monitoring.

8. A foundation pit stability monitoring method according to claim 7, characterized in that: Based on the calculation of the error calculation adjustment unit and the predicted displacement trend unit, if V=0, it means that the current monitoring calculation error is 0, and the original calculation formula of the unit reflecting the current stable state of the foundation pit should be used" ” Make computational predictions; If V>0 / V<0, it means that there is an error in the current monitoring calculation, and the value should be "X=(W n / W vt )×[1-V / (W1×R)]” calculation formula is used to calculate the output adjustment factor X, and the adjustment factor X is used as the input value to input the unit reflecting the current stable state of the foundation pit for calculation and prediction, as follows: 。 9. A foundation pit stability monitoring method according to claim 8, characterized in that: The current predicted displacement value W vt When entering the next monitoring calculation, as the input value, the adjustment factor X after calculating the error in the error calculation adjustment unit is input, specifically W last.vt Replace with W vt , the calculation formula for the next error calculation adjustment unit is as follows: V=|W n -W vt |; X=(W n / W vt )×[1-V / (W1×R)]。

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