Prediction method of foundation pit health status based on groundwater level monitoring

Abstract

The invention discloses a foundation pit health status prediction method based on groundwater level monitoring, which belongs to the technical field of foundation pit health status prediction. The method specifically comprises: real-time monitoring of groundwater level, real-time collection of groundwater level data, and preprocessing of the collected groundwater level data; establishing a groundwater level change model based on the preprocessed groundwater level data, and analyzing the change of groundwater level; analyzing the relationship between the change trend of groundwater level and foundation pit stability, establishing a foundation pit health status assessment model, and obtaining a foundation pit health status index; based on the groundwater level change trend, predicting the foundation pit health status for a period of time in the future; dividing the foundation pit health status into different health status levels, and formulating corresponding measures according to the actual health status level; comprehensively analyzing the foundation pit health status in combination with groundwater level changes, foundation pit soil characteristics, support structure performance, and groundwater flow patterns, and the method is suitable for foundation pit projects under complex geological conditions.

Description

Technical Field

[0001] The invention belongs to the technical field of foundation pit health status prediction, and in particular to a foundation pit health status prediction method based on groundwater level monitoring. Background Art

[0002] Foundation pit engineering is widely used in the construction of high-rise buildings, underground parking lots, subway stations and other infrastructure. The dynamic changes of groundwater levels have a significant impact on the stability of foundation pit soil and the safety of supporting structures. Traditional foundation pit health status monitoring includes: 1) Structural deformation monitoring: such as horizontal displacement, vertical settlement, inclination angle, etc. These methods focus on the macroscopic deformation of the supporting structure or ground layer; 2) Stress-strain monitoring: by monitoring the internal force of the supporting structure, soil pressure, etc. to reflect the local stress state of the foundation pit; 3) Environmental monitoring: including peripheral factors such as surface settlement and the influence of adjacent buildings; The shortcomings are mainly concentrated in the following aspects: 1) Ignoring the core impact of the dynamic changes of groundwater levels on the stability of the foundation pit; 2) Lack of dynamic evaluation capabilities; 3) Lack of prediction function.

[0003] The impact of the dynamic change of groundwater level on the health of foundation pit is reflected in the following aspects: 1) Changes in pore water pressure: The rise of groundwater level will increase pore water pressure, reduce the effective stress of soil, thereby weakening the shear strength of soil and increasing the risk of slip or collapse of foundation pit; 2) Seepage pressure effect: Groundwater flow will produce additional seepage force on the foundation pit soil, aggravating the shear failure of the soil around the foundation pit; 3) Changes in soil properties: Changes in groundwater level may also cause changes in mechanical properties such as soil compressibility and permeability, further affecting the overall stability of the foundation pit. In view of the important impact of groundwater level changes on the health of foundation pit, a new method that comprehensively considers the dynamic monitoring of groundwater level, mechanical properties of foundation pit soil and performance of support structure is urgently needed to realize real-time dynamic evaluation of the health of foundation pit and future risk prediction. Summary of the invention

[0004] In view of the shortcomings of the existing technology, the present invention proposes a foundation pit health status prediction method based on groundwater level monitoring. By real-time monitoring of groundwater level changes and combining multi-factor comprehensive analysis, the health status of the foundation pit is dynamically evaluated, and accurate predictions of future health status and risk warnings are provided, which significantly improves the safety of the foundation pit construction process.

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

[0006] The foundation pit health status prediction method based on groundwater level monitoring includes:

[0007] Monitor the groundwater level in real time, collect groundwater level data in real time, and pre-process the collected groundwater level data;

[0008] Based on the pre-processed groundwater level data, a groundwater level change model is established to analyze the change of groundwater level;

[0009] Analyze the relationship between the changing trend of groundwater level and foundation pit stability, establish a foundation pit health status assessment model, and obtain the foundation pit health status index;

[0010] Based on the trend of groundwater level changes, the health status of the foundation pit in the future is predicted;

[0011] The health status of the foundation pit is divided into different health status levels, and corresponding measures are formulated according to the actual health status level.

[0012] Specifically, the method of establishing a groundwater level change model based on the preprocessed groundwater level data and analyzing the groundwater level change includes:

[0013] The relationship between the groundwater level and the amount of water applied from the outside is analyzed, and a water volume relationship model is established. The specific formula is:

[0014] ,

[0015] Among them, H(t) represents the height of the groundwater level at time t, P(t) represents the amount of water applied from the outside, represents the response coefficient of the external applied water volume to the groundwater level, and b1 represents the constant term;

[0016] According to the physical properties of soil, the groundwater flow equation is constructed to describe the change of groundwater level in the foundation pit area. The specific formula is:

[0017] ,

[0018] in, It represents the groundwater flow equation, that is, the groundwater level change in the foundation pit area, H represents the height of the groundwater level, K represents the soil permeability coefficient in the foundation pit area, t represents time, x and y represent coordinates, and S represents the source and sink term, that is, the recharge or extraction of groundwater.

[0019] Specifically, the analysis of the relationship between the changing trend of the groundwater level and the stability of the foundation pit and the establishment of a foundation pit health status assessment model include:

[0020] Based on the groundwater level, foundation pit displacement and stress data, the relationship between the changing trend of the groundwater level and the stability of the foundation pit is analyzed. The specific formula is:

[0021] ,

[0022] Among them, J1 represents the impact of groundwater level changes on the health status of the foundation pit. represents the displacement change of the foundation pit, It represents the change of foundation pit soil stress. , and represents the weight coefficient;

[0023] Analyze the influence of foundation pit soil on the health status of foundation pit and calculate the strength of foundation pit soil. The specific formula is:

[0024] ,

[0025] Among them, J2 represents the strength of the foundation pit soil, c represents the cohesion of the foundation pit soil, that is, the bonding capacity of the foundation pit soil layer, represents the unit gravity of the foundation pit soil, Sd represents the maximum depth of the foundation pit, It represents the internal friction angle of foundation pit soil;

[0026] Combined with the influence of groundwater level changes on foundation pit stability and foundation pit soil strength, a foundation pit health status assessment model is established to assess the health status of the foundation pit. The specific formula of the foundation pit health status assessment model is:

[0027] ;

[0028] Among them, J represents the foundation pit health status assessment model, that is, the health status of the foundation pit, represents the weight coefficient, represents the water flow influence coefficient, and v represents the groundwater flow velocity.

[0029] Specifically, the prediction of the health status of the foundation pit in the future based on the trend of groundwater level changes includes:

[0030] The groundwater level in the next k steps is predicted, and the specific formula is:

[0031] ,

[0032] in, represents the groundwater level in the next k steps, k represents the prediction step length, represents a constant term, represents the groundwater level data at the historical time ti, represents the white noise error term, Indicates the impact of historical water levels on current water levels, represents the impact of historical errors on the current water level, p represents the order of the autoregressive term, and q represents the order of the sliding average;

[0033] According to the predicted value of groundwater level in the future, the health status of the future k-step foundation pit is predicted. The specific formula is:

[0034] ,

[0035] in, represents the health status of the foundation pit in the next k steps, represents the impact of the future k-step groundwater level change on the health status of the foundation pit, It represents the soil strength of foundation pit in the future k steps.

[0036] Specifically, the health status level includes:

[0037] When J < 0.2, it means that the foundation pit is in good health and stable;

[0038] When 0.2≤J<0.5, it means that the health status is good and there is risk, but it does not endanger construction safety;

[0039] When 0.5≤J<0.8, it indicates that the health status is general, and there is a risk to the stability of the foundation pit, so further monitoring and repair are required;

[0040] When J≥0.8, it indicates that the health status is poor, the stability of the foundation pit is extremely poor, there are safety hazards, and reinforcement measures are taken.

[0041] Specifically, the preprocessing includes: removing duplicate data, redundant data and noise data, and smoothing fluctuating data.

[0042] A foundation pit health status prediction system based on groundwater level monitoring, used to implement the foundation pit health status prediction method based on groundwater level monitoring, comprising: a data acquisition module, a water level analysis module, a health assessment module, a health prediction module and a health classification module;

[0043] The data acquisition module is used to monitor the groundwater level in real time, collect groundwater level data in real time, and pre-process the collected groundwater level data;

[0044] The water level analysis module is used to establish a groundwater level change model based on the preprocessed groundwater level data and analyze the change of the groundwater level;

[0045] The health assessment module is used to analyze the relationship between the change trend of the groundwater level and the stability of the foundation pit, establish a foundation pit health status assessment model, and obtain a foundation pit health status index;

[0046] The health prediction module is used to predict the health status of the foundation pit in the future based on the trend of groundwater level changes;

[0047] The health grading module is used to classify the health status of the foundation pit into different health status levels and formulate corresponding measures according to the actual health status level.

[0048] Specifically, the water level analysis module includes: a water volume analysis unit and a water flow analysis unit;

[0049] The water volume analysis unit is used to establish a water volume relationship model to analyze the relationship between the groundwater level and the externally applied water volume;

[0050] The water flow analysis unit is used to construct a groundwater flow equation based on soil physical properties to describe the groundwater level changes in the foundation pit area.

[0051] Specifically, the health assessment module includes: a water level change impact unit, a soil strength calculation unit and a health status assessment unit;

[0052] The water level change influence unit is used to analyze the relationship between the change trend of the groundwater level and the stability of the foundation pit based on the groundwater level, foundation pit displacement and stress data;

[0053] The soil strength calculation unit is used to analyze the influence of the foundation pit soil on the health status of the foundation pit and calculate the strength of the foundation pit soil;

[0054] The health status assessment unit is used to establish a foundation pit health status assessment model and assess the health status of the foundation pit by combining the influence of groundwater level changes on the stability of the foundation pit and the influence of the strength of the foundation pit soil.

[0055] Specifically, the health prediction module includes: a water level prediction unit and a health status prediction unit;

[0056] The water level prediction unit is used to predict the future groundwater level;

[0057] The health status prediction unit is used to predict the future health status of the foundation pit based on the predicted value of the groundwater level in a future period of time.

[0058] Compared with the prior art, the present invention has the following beneficial effects:

[0059] 1. The present invention proposes a foundation pit health status prediction method based on groundwater level monitoring. By deploying groundwater level monitoring sensors, groundwater level data at different depths around the foundation pit are collected to reflect the dynamic changes of the water level in real time. The health status of the foundation pit is comprehensively analyzed by combining the groundwater level changes, foundation pit soil characteristics, support structure performance and groundwater flow pattern.

[0060] 2. The present invention proposes a foundation pit health status prediction method based on groundwater level monitoring. Through time series analysis, the future groundwater level change trend is predicted, and the future foundation pit health status index is calculated based on the prediction results, providing a scientific basis for formulating safety measures in advance.

[0061] 3. The present invention proposes a foundation pit health status prediction method based on groundwater level monitoring, which is suitable for foundation pit projects under complex geological conditions such as soft soil, sandy soil, karst, etc., especially in areas where groundwater level fluctuations are significant. Through real-time monitoring and dynamic evaluation, risks can be identified in advance to reduce the occurrence of accidents such as foundation pit collapse and ground subsidence. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 A flow chart of a method for predicting the health status of a foundation pit based on groundwater level monitoring provided by the present invention;

[0063] Figure 2 This is an architecture diagram of the foundation pit health status prediction system based on groundwater level monitoring provided by the present invention. DETAILED DESCRIPTION

[0064] Example 1

[0065] See also Figure 1 The present invention provides an embodiment: a method for predicting the health status of a foundation pit based on groundwater level monitoring, comprising the following specific steps:

[0066] Step S1: monitor the groundwater level in real time, collect groundwater level data in real time, and pre-process the collected groundwater level data;

[0067] First, it is necessary to set up groundwater level monitoring points around the foundation pit. The monitoring points should be arranged at different directions and depths of the foundation pit. A water level sensor should be installed at each monitoring point to collect groundwater level change data in real time. For the standard rectangular shape of the foundation pit, a suitable monitoring point layout can be set according to the aspect ratio of the foundation pit and the hydrogeological conditions. For example, assuming that the length of the foundation pit is 50km and the width is 20km, the layout of the monitoring points should ensure that it can cover the surrounding area of ​​the foundation pit.

[0068] The preprocessing in step S1 includes: removing duplicate data, redundant data and noise data, and smoothing fluctuating data.

[0069] Step S2: Based on the preprocessed groundwater level data, a groundwater level change model is established to analyze the change of the groundwater level;

[0070] The specific steps of step S2 are:

[0071] Step S201: Analyze the relationship between the groundwater level and the amount of water applied from the outside, and establish a water amount relationship model. The specific formula is:

[0072] ,

[0073] Among them, H(t) represents the height of the groundwater level at time t, P(t) represents the amount of water applied from the outside, represents the response coefficient of the external water volume to the groundwater level, b1 represents the constant term, that is, the height of the groundwater level at time t when no external water volume is applied;

[0074] External water supply includes rainfall and watering by water trucks.

[0075] Step S202: According to the physical properties of the soil, a groundwater flow equation is constructed to describe the change of groundwater level in the foundation pit area. The specific formula is:

[0076] ,

[0077] in, It represents the groundwater flow equation, that is, the change of groundwater level in the foundation pit area. H represents the height of the groundwater level, K represents the soil permeability coefficient in the foundation pit area, t represents time, x and y represent coordinates, and S represents the source and sink term, that is, the recharge or extraction of groundwater. A positive value represents recharge, and a negative value represents extraction.

[0078] Changes in groundwater levels directly reflect the hydrological environment of the foundation pit. The increase in groundwater levels may cause the soil to become moist, reducing its friction and bearing capacity, thereby affecting the stability of the foundation pit. The magnitude of groundwater level changes is closely related to the stability of the foundation pit, and is therefore included as an important parameter in the foundation pit health status assessment formula.

[0079] Step S3: Analyze the relationship between the change trend of the groundwater level and the stability of the foundation pit, establish a foundation pit health status assessment model, and obtain a foundation pit health status index;

[0080] The specific steps of step S3 are:

[0081] Step S301: Based on the groundwater level, foundation pit displacement and stress data, the relationship between the change trend of the groundwater level and the stability of the foundation pit is analyzed. The specific formula is:

[0082] ,

[0083] Among them, J1 represents the impact of groundwater level changes on the health status of the foundation pit. represents the displacement change of the foundation pit, It represents the change of foundation pit soil stress. , and It represents the weight coefficient, which describes the influence of groundwater level, foundation pit displacement and soil stress on the health status of foundation pit;

[0084] , , where D(t) represents the maximum displacement of the foundation pit at time t, D0 represents the maximum displacement under the initial state, Y(t) represents the soil stress of the foundation pit at time t, and Y0 represents the soil stress under the initial state;

[0085] Change of foundation pit displacement It is usually a direct indication of decreased stability of the foundation pit. During the excavation process, the foundation pit will be affected by the surrounding soil and will shift. The greater the displacement change, the more serious the deformation of the foundation pit, which may be accompanied by soil collapse or other unstable phenomena. Monitoring of foundation pit displacement data helps to timely discover potential risks of the foundation pit.

[0086] Soil stress variation It is an important indicator that reflects the stress condition of the soil around the foundation pit. When the groundwater level rises, the bearing capacity of the soil will change, which may lead to stress redistribution. When the soil stress changes greatly, it means that the soil around the foundation pit has undergone a large deformation or there is a risk of slippage. Monitoring stress data is very important for evaluating the stability of the foundation pit.

[0087] The weighting coefficient is used to adjust the influence of various data on the assessment of the health status of the foundation pit. In different engineering environments and different geological conditions, the weights of various factors may be different. Through regression analysis or machine learning and other technologies, the weight coefficient can be dynamically adjusted to more accurately assess the health status of the foundation pit.

[0088] Step S302: Analyze the influence of foundation pit soil on the health status of the foundation pit and calculate the strength of the foundation pit soil. The specific formula is:

[0089] ,

[0090] Among them, J2 represents the strength of the foundation pit soil, c represents the cohesion of the foundation pit soil, that is, the bonding capacity of the foundation pit soil layer, represents the unit gravity of the foundation pit soil, Sd represents the maximum depth of the foundation pit, It represents the internal friction angle of the foundation pit soil, which describes the friction resistance of the foundation pit soil;

[0091] This formula takes into account the shear strength of the soil, where: c and It is the component of the shear strength of the soil. The former represents cohesion, and the latter is the shear force generated by the friction and weight of the soil. When the groundwater level rises, the effective stress of the soil around the foundation pit will decrease, resulting in a decrease in the cohesion c of the soil and a decrease in the friction angle. changes, thus affecting the stability of the foundation pit.

[0092] Step S303: Based on the influence of groundwater level change on foundation pit stability and foundation pit soil strength, a foundation pit health status assessment model is established to assess the health status of the foundation pit. The specific formula of the foundation pit health status assessment model is:

[0093] ;

[0094] Among them, J represents the foundation pit health status assessment model, that is, the health status of the foundation pit, represents the weight coefficient, It represents the water flow influence coefficient, which is used to adjust the influence of water flow velocity on the health status of foundation pit, and v represents the groundwater flow velocity.

[0095] Specifically, + + + =1, groundwater flow also has a significant impact on the health of the foundation pit, especially in clay or sandy soil areas. The flow of groundwater will produce hydraulic forces on the soil around the foundation pit. These hydraulic forces will affect the shear strength of the soil and the stability of the foundation pit, and will cause changes in the water distribution in the soil, thereby affecting the effective stress of the soil and its shear resistance.

[0096] The health status of the foundation pit J is a quantitative assessment of the future health status of the foundation pit. The higher the index, the greater the safety risk of the foundation pit; a lower index means that the foundation pit is relatively stable. By monitoring and predicting the changes in groundwater levels and the dynamic changes in soil strength, the stability and potential risks of the foundation pit can be predicted in advance to avoid catastrophic events such as sudden collapse, settlement or slippage of the foundation pit.

[0097] Step S4: Based on the trend of groundwater level changes, predict the health status of the foundation pit in the future;

[0098] The specific steps of step S4 are:

[0099] Step S401: predict the groundwater level in the next k steps. The specific formula is:

[0100] ,

[0101] in, represents the groundwater level in the next k steps, k represents the prediction step length, represents a constant term, represents the groundwater level data at the historical time ti, represents the white noise error term, describing the random fluctuations, Indicates the impact of historical water levels on current water levels, represents the impact of historical errors on the current water level, p represents the order of the autoregressive term, and q represents the order of the sliding average;

[0102] The predicted water level changes will depend on the historical water level data and the error term in the model (the error term is usually assumed to be white noise);

[0103] Step S402: predict the health status of the future k-step foundation pit according to the predicted value of the groundwater level in the future period of time. The specific formula is:

[0104] ,

[0105] in, represents the health status of the foundation pit in the next k steps, represents the impact of the future k-step groundwater level change on the health status of the foundation pit, It represents the soil strength of foundation pit in the future k steps.

[0106] By predicting future changes in groundwater levels and dynamically adjusting the foundation pit health status assessment based on the prediction results, it is more timely and flexible. The predicted foundation pit health status index can be used to evaluate the future safety status of the foundation pit in advance. If the predicted foundation pit health status index exceeds the safety threshold, measures can be taken in advance to prevent potential risks.

[0107] Step S5: Divide the health status of the foundation pit into different health status levels, and formulate corresponding measures according to the actual health status level.

[0108] The health status levels in step S5 include: when J is less than 0.2, it indicates that the health status of the foundation pit is good and the foundation pit is stable; when 0.2≤J<0.5, it indicates that the health status is relatively good, there are certain risks, but it does not endanger the construction safety; when 0.5≤J<0.8, it indicates that the health status is general, there is a great risk to the stability of the foundation pit, and further monitoring and repair are required; when J≥0.8, it indicates that the health status is poor, the stability of the foundation pit is extremely poor, there are serious safety hazards, and reinforcement measures should be taken immediately.

[0109] Example 2

[0110] See also Figure 2 , another embodiment provided by the present invention: a foundation pit health status prediction system based on groundwater level monitoring, comprising: a data acquisition module, a water level analysis module, a health assessment module, a health prediction module and a health classification module;

[0111] The data acquisition module is used to monitor the groundwater level in real time, collect groundwater level data in real time, and pre-process the collected groundwater level data;

[0112] The water level analysis module is used to establish a groundwater level change model based on the preprocessed groundwater level data and analyze the change of the groundwater level;

[0113] The health assessment module is used to analyze the relationship between the change trend of the groundwater level and the stability of the foundation pit, establish a foundation pit health status assessment model, and obtain a foundation pit health status index;

[0114] The health prediction module is used to predict the health status of the foundation pit in the future based on the trend of groundwater level changes;

[0115] The health grading module is used to classify the health status of the foundation pit into different health status levels and formulate corresponding measures according to the actual health status level.

[0116] The water level analysis module includes: a water volume analysis unit and a water flow analysis unit;

[0117] The water volume analysis unit is used to establish a water volume relationship model to analyze the relationship between the groundwater level and the externally applied water volume;

[0118] The water flow analysis unit is used to construct a groundwater flow equation based on soil physical properties to describe the groundwater level changes in the foundation pit area.

[0119] Health assessment module, including: water level change impact unit, soil strength calculation unit and health status assessment unit;

[0120] The water level change influence unit is used to analyze the relationship between the change trend of the groundwater level and the stability of the foundation pit based on the groundwater level, foundation pit displacement and stress data;

[0121] The soil strength calculation unit is used to analyze the influence of the foundation pit soil on the health status of the foundation pit and calculate the strength of the foundation pit soil;

[0122] The health status assessment unit is used to establish a foundation pit health status assessment model and assess the health status of the foundation pit by combining the influence of groundwater level changes on the stability of the foundation pit and the influence of the strength of the foundation pit soil.

[0123] Health prediction module, including: water level prediction unit and health status prediction unit;

[0124] The water level prediction unit is used to predict the future groundwater level;

[0125] The health status prediction unit is used to predict the future health status of the foundation pit based on the predicted value of the groundwater level in a future period of time.

[0126] In addition, the parts of the above-mentioned technical solutions provided in the embodiments of the present application that are consistent with the implementation principles of the corresponding technical solutions in the prior art are not described in detail to avoid excessive redundancy.

[0127] The specific implementation modes as described above further describe the purpose, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation mode of the present invention and is not intended to limit the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A foundation pit health status prediction method based on groundwater level monitoring, characterized in that: include: Monitor the groundwater level in real time, collect groundwater level data in real time, and pre-process the collected groundwater level data; Based on the pre-processed groundwater level data, a groundwater level change model is established to analyze the change of groundwater level; Analyze the relationship between the changing trend of groundwater level and foundation pit stability, establish a foundation pit health status assessment model, and obtain the foundation pit health status index; Based on the trend of groundwater level changes, the health status of the foundation pit in the future is predicted; Divide the health status of foundation pit into different health status levels and formulate corresponding measures according to the actual health status level; The method of establishing a groundwater level change model based on the pre-processed groundwater level data and analyzing the groundwater level change includes: The relationship between the groundwater level and the amount of water applied from the outside is analyzed, and a water volume relationship model is established. The specific formula is: ， Among them, H(t) represents the height of the groundwater level at time t, P(t) represents the amount of water applied from the outside, represents the response coefficient of the external applied water volume to the groundwater level, and b1 represents the constant term; According to the physical properties of soil, the groundwater flow equation is constructed to describe the change of groundwater level in the foundation pit area. The specific formula is: ， in, It represents the groundwater flow equation, that is, the groundwater level change in the foundation pit area, H represents the height of the groundwater level, K represents the soil permeability coefficient in the foundation pit area, t represents time, x and y represent coordinates, and S represents the source and sink term, that is, the recharge or extraction of groundwater.

2. The method for predicting the health status of a foundation pit based on groundwater level monitoring according to claim 1, characterized in that: The analysis of the relationship between the changing trend of groundwater level and the stability of foundation pit and the establishment of foundation pit health status assessment model include: Based on the groundwater level, foundation pit displacement and stress data, the relationship between the changing trend of the groundwater level and the stability of the foundation pit is analyzed. The specific formula is: ， Among them, J1 represents the impact of groundwater level changes on the health status of the foundation pit. represents the displacement change of the foundation pit, It represents the change of foundation pit soil stress. , and represents the weight coefficient; Analyze the influence of foundation pit soil on the health status of foundation pit and calculate the strength of foundation pit soil. The specific formula is: ， Among them, J2 represents the strength of the foundation pit soil, c represents the cohesion of the foundation pit soil, that is, the bonding capacity of the foundation pit soil layer, represents the unit gravity of the foundation pit soil, Sd represents the maximum depth of the foundation pit, It represents the internal friction angle of foundation pit soil; Combined with the influence of groundwater level changes on foundation pit stability and foundation pit soil strength, a foundation pit health status assessment model is established to assess the health status of the foundation pit. The specific formula of the foundation pit health status assessment model is: ； Among them, J represents the foundation pit health status assessment model, that is, the foundation pit health status, represents the weight coefficient, represents the water flow influence coefficient, and v represents the groundwater flow velocity.

3. The method for predicting the health status of a foundation pit based on groundwater level monitoring according to claim 2, characterized in that: The prediction of the health status of the foundation pit in the future based on the trend of groundwater level changes includes: The groundwater level in the next k steps is predicted, and the specific formula is: ， in, represents the groundwater level in the next k steps, k represents the prediction step length, represents a constant term, represents the groundwater level data at the historical time ti, represents the white noise error term, Indicates the impact of historical water levels on current water levels, represents the impact of historical errors on the current water level, p represents the order of the autoregressive term, and q represents the order of the sliding average; According to the predicted value of groundwater level in the future, the health status of the future k-step foundation pit is predicted. The specific formula is: ， in, represents the health status of the foundation pit in the next k steps, represents the impact of the future k-step groundwater level change on the health status of the foundation pit, It represents the soil strength of foundation pit in the future k steps.

4. The method for predicting the health status of a foundation pit based on groundwater level monitoring according to claim 3, characterized in that: The health status level includes: When J < 0.2, it means that the foundation pit is in good health and stable; When 0.2≤J<0.5, it means that the health status is good and there is risk, but it does not endanger construction safety; When 0.5≤J<0.8, it indicates that the health status is general, and there is a risk to the stability of the foundation pit, so further monitoring and repair are required; When J≥0.8, it indicates that the health status is poor, the stability of the foundation pit is extremely poor, there are safety hazards, and reinforcement measures are taken.

5. The method for predicting the health status of a foundation pit based on groundwater level monitoring according to claim 1, characterized in that: The preprocessing includes: removing duplicate data, redundant data and noise data, and smoothing fluctuating data.

6. A foundation pit health status prediction system based on groundwater level monitoring, used to implement the foundation pit health status prediction method based on groundwater level monitoring as described in any one of claims 1 to 5, characterized in that: include: Data collection module, water level analysis module, health assessment module, health prediction module and health grading module; The data acquisition module is used to monitor the groundwater level in real time, collect groundwater level data in real time, and pre-process the collected groundwater level data; The water level analysis module is used to establish a groundwater level change model based on the preprocessed groundwater level data and analyze the change of the groundwater level; The health assessment module is used to analyze the relationship between the change trend of the groundwater level and the stability of the foundation pit, establish a foundation pit health status assessment model, and obtain a foundation pit health status index; The health prediction module is used to predict the health status of the foundation pit in the future based on the trend of groundwater level changes; The health grading module is used to classify the health status of the foundation pit into different health status levels and formulate corresponding measures according to the actual health status level.

7. The foundation pit health status prediction system based on groundwater level monitoring according to claim 6, characterized in that: The water level analysis module includes: a water volume analysis unit and a water flow analysis unit; The water volume analysis unit is used to establish a water volume relationship model to analyze the relationship between the groundwater level and the externally applied water volume; The water flow analysis unit is used to construct a groundwater flow equation based on soil physical properties to describe the groundwater level changes in the foundation pit area.

8. The foundation pit health status prediction system based on groundwater level monitoring according to claim 7, characterized in that: The health assessment module includes: a water level change impact unit, a soil strength calculation unit and a health status assessment unit; The water level change influence unit is used to analyze the relationship between the change trend of the groundwater level and the stability of the foundation pit based on the groundwater level, foundation pit displacement and stress data; The soil strength calculation unit is used to analyze the influence of the foundation pit soil on the health status of the foundation pit and calculate the strength of the foundation pit soil; The health status assessment unit is used to establish a foundation pit health status assessment model and assess the health status of the foundation pit by combining the influence of groundwater level changes on the stability of the foundation pit and the influence of the strength of the foundation pit soil.

9. The foundation pit health status prediction system based on groundwater level monitoring according to claim 8, characterized in that: The health prediction module includes: a water level prediction unit and a health status prediction unit; The water level prediction unit is used to predict the future groundwater level; The health status prediction unit is used to predict the future health status of the foundation pit based on the predicted value of the groundwater level in a future period of time.

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