Automatic control method for water pumping and drainage of foundation pit under effects of river supply and rainfall

Abstract

The invention discloses an automatic control method for water pumping and drainage of a foundation pit under the action of river supply and rainfall, and relates to the technical field of foundation pit construction, comprising the following steps: S1, measuring aquifer parameters of an area where the foundation pit is located; s2, the initial water pumping flow Q0 is calculated; s3, after the water pumping time t, the water level h and the water pumping flow Qw1 of the observation point are read and uploaded to a central processing module; s4, comparing the water level h of the observation point with the target water level h0, and if the water level h of the observation point is greater than or equal to the target water level h0, stopping pumping water; s5, if the water level h of the observation point is smaller than the target water level h0, h is calculated; and S6, a new water pumping flow Qw2 is calculated, and the water pumping flow is adjusted. The connection between the river and foundation pit dewatering is established, remote automatic control over the water level of the foundation pit is achieved in combination with the Internet of Things technology, the investment of manual long-term inspection can be reduced, the drainage efficiency is improved, and the safety and stability of foundation pit construction are ensured.

Description

Technical Field

[0001] The invention relates to the technical field of foundation pit construction, and in particular to an automatic control method for foundation pit pumping and drainage under the action of river recharge and rainfall. Background Art

[0002] The traditional method of foundation pit pumping and drainage cannot fully consider the impact of interference factors such as rainfall conditions and river recharge on the foundation pit water level, and cannot achieve accurate control of the start and stop of the pump, resulting in serious waste of resources and inaccurate and untimely water level reduction. Especially in the foundation pit construction near the river, these problems are particularly prominent. At the same time, due to the unclear relationship between the foundation pit water level and the river water level, it is difficult for traditional methods to effectively predict the foundation pit water level. In addition, traditional precipitation control relies too much on manual inspections to control the start and stop of the pump, with a low degree of automation, which not only has higher labor costs but also low efficiency.

[0003] The foundation pit pumping and drainage method of the present application can reduce the investment in long-term manual inspections, monitor the aquifer parameters in the foundation pit area in real time through the intelligent measurement module, and use the central processing module for efficient analysis to achieve precise control of the start and stop of the pump, thereby improving drainage efficiency. At the same time, the method of the present application also takes into account the impact of factors such as river recharge on the foundation pit water level, and can more accurately predict and adjust the foundation pit water level to ensure the safety and stability of foundation pit construction.

[0004] The defects of the existing foundation pit pumping and drainage method are:

[0005] 1. Patent document CN110055989B discloses a method for determining the pumping volume of a suspended curtain confined water foundation pit based on three-dimensional depth reduction. The document mainly considers how to improve the prediction effect of the pumping volume, but does not consider how to reduce the investment in long-term manual inspections, improve drainage efficiency, and ensure the safety and stability of foundation pit construction;

[0006] 2. Patent document CN112695792B discloses a method for draining a concrete dam foundation pit and pouring a dam foundation. The document mainly considers how to alleviate the problem of water accumulation on the concrete pouring working surface of the foundation pit, but does not consider how to solve the problems of inaccurate monitoring data and insufficient decision-making basis in the traditional foundation pit drainage method;

[0007] 3. Patent document CN108978692B discloses a deep foundation pit drainage system. The document mainly considers how to drain rainwater from the side walls of the foundation pit and prevent the side walls from collapsing. It does not consider how to solve the problems of untimely early warning and response, inconvenience and low efficiency of remote control, insufficient data utilization and difficult decision-making in traditional foundation pit drainage methods;

[0008] 4. Patent document CN117071616B discloses a foundation pit drainage structure and drainage method for civil construction. The document mainly considers how to improve the efficiency of pumping water in the foundation pit, but does not consider how to solve the problems of inaccurate pumping flow regulation, poor system adaptability, serious waste of resources and high construction safety risks in traditional foundation pit pumping and drainage methods. Summary of the invention

[0009] The object of the present invention is to provide an automatic control method for foundation pit pumping and drainage under the action of river recharge and rainfall, so as to solve the problems raised in the above-mentioned background technology.

[0010] To achieve the above object, the present invention provides the following technical solution: an automatic control method for foundation pit pumping and drainage under river recharge and rainfall, comprising the following steps:

[0011] Step S1, measuring the aquifer parameters in the area where the foundation pit is located through the intelligent measurement module;

[0012] Step S2, set the target water level h0, expected time t0, and calculate the initial pumping flow Q0;

[0013] Step S3, after the pumping time t, the water level h at the observation point and the pumping flow Qw1 are read by the intelligent measurement module, and the data monitored by the intelligent measurement module are uploaded to the central processing module through wireless communication and wired communication technology;

[0014] Step S4, the central processing module compares the water level h at the observation point with the target water level h0. If the water level h at the observation point is greater than or equal to the target water level h0, pumping is stopped and continuous monitoring is performed through the intelligent measurement module.

[0015] Step S5, if the water level h at the observation point is less than the target water level h0, calculate the difference △h between the water level h at the observation point and the target water level h0;

[0016] Step S6, calculate the new pumping flow Qw2 through △h, adjust the pumping flow through the adaptive adjustment module, and continuously monitor through the intelligent measurement module.

[0017] Preferably, the intelligent measurement module includes a water level sensor, a rainfall meter, a soil permeability tester, a rangefinder, a GPS and a flow sensor;

[0018] Aquifer parameters include river water level, rainfall infiltration intensity, distance from the impermeable boundary to the river, pumping flow of the pumping well, distance between the observation point and the river boundary perpendicularly, distance between the observation point and the pumping well, distance between the pumping well and the river boundary perpendicularly, and distance between the observation point and the pumping well perpendicularly.

[0019] Preferably, the water level sensor is used to measure the water level in the foundation pit to obtain the water level of the river;

[0020] Rain gauges and soil permeability testers are used to measure rainfall intensity and evaluate the soil's ability to absorb rainfall, thereby obtaining rainfall infiltration intensity.

[0021] The distance meter and GPS are used to measure the distance from the water barrier to the river, the distance from the observation point perpendicular to the river boundary, the distance from the observation point to the pumping well, the distance from the pumping well perpendicular to the river boundary, and the distance from the observation point perpendicular to the pumping well.

[0022] The flow sensor is installed at the outlet of the pumping well to measure the water flow rate of the pumping well.

[0023] Preferably, step S2 also includes:

[0024] The calculation formula (I) is as follows:

[0025]

[0026] Where: △h is the difference between the water level at the observation point and the target water level (m); h1 is the river water level (m); ε is the rainfall infiltration intensity (m / d); β is the evaporation intensity (m / d); K is the permeability coefficient (m / d); l is the distance from the water barrier to the river (m); Qw is the water flow rate of the pumping well (m 3 / d); a is the water level conductivity (m 2 / d); x is the distance between the observation point and the river boundary (m); r is the distance between the observation point and the pumping well (m); t is the pumping time; and Substitute u, W(u) is the well function, W(u) = -0.577-lnu;

[0027] The calculation formula (II) is as follows:

[0028] ρ 2 =(x0+x) 2 +y 2 ;

[0029] Where: x0 is the distance from the pumping well perpendicular to the river boundary (m), and y is the distance from the observation point perpendicular to the pumping well (m).

[0030] Preferably, the central processing module includes an intelligent early warning unit, a remote manual intervention unit and a data visualization unit.

[0031] Preferably, the intelligent early warning unit uses machine learning technology and anomaly detection algorithms to predict the changing trend of pumping flow by training a neural network model, thereby realizing real-time monitoring and early warning as well as fault prediction and diagnosis functions.

[0032] Preferably, the remote manual intervention unit utilizes remote communication technology and remote control technology to achieve remote control and adjustment and emergency response and recovery functions through control strategy algorithms and safety algorithms.

[0033] Preferably, the data visualization unit utilizes data visualization technology and interactive design technology to realize data display, analysis and decision support functions through data mapping algorithms and interactive logic algorithms.

[0034] Preferably, data display and analysis and decision support include real-time monitoring data display, historical data query and analysis, abnormal data detection and alarm, data comparison and trend prediction, and emergency response plan formulation.

[0035] Preferably, the adaptive regulation module utilizes an adaptive control algorithm to optimize the control strategy through reinforcement learning based on the data monitored in real time by the intelligent measurement module and the preset target value, and dynamically adjusts the pumping flow rate.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] 1. The present invention establishes a connection between rivers and foundation pit precipitation by combining the well flow equation and the river-groundwater recharge relationship, and proposes a foundation pit water level calculation method in the foundation pit precipitation process under the action of river recharge, rainfall infiltration and evaporation. This method not only significantly improves the accuracy of the foundation pit pumping process, but also enables the pumping operation to closely fit the actual hydrogeological conditions, effectively avoiding the waste of water resources and excessive decline in groundwater levels caused by excessive pumping, as well as the risk of foundation pit water accumulation caused by insufficient pumping, thereby achieving the dual goals of rational utilization of water resources and environmental protection. At the same time, combined with advanced Internet of Things technology, the present invention realizes remote real-time monitoring and intelligent control of foundation pit water levels, greatly reducing the frequency and intensity of long-term manual inspections. It not only saves human resource costs, but also improves work efficiency, allowing project managers to grasp the dynamics of foundation pit water levels in real time, quickly respond to water level anomalies, and effectively reduce safety hazards caused by human negligence. More importantly, through precise control of the foundation pit water level, the present invention fundamentally solves the construction safety problems that may be caused by excessive water level fluctuations. Whether it is instability of the foundation pit wall and groundwater leakage caused by excessively high water levels, or ground subsidence and damage to surrounding buildings caused by too low water levels, they can be effectively prevented and avoided through the automatic control method of the present invention, providing a solid safety guarantee for foundation pit construction. Therefore, it can solve the problem of how to reduce the investment in long-term manual inspections, improve drainage efficiency, and ensure the safety and stability of foundation pit construction.

[0038] 2. The present invention is provided with an intelligent measurement module, and utilizes the water level sensor, rainfall meter, soil permeability tester, rangefinder, GPS and flow sensor in the intelligent measurement module to monitor and measure the aquifer parameters in the area where the foundation pit is located in real time and accurately, thereby improving the accuracy and real-time performance of the measurement data. At the same time, the data collected by the intelligent measurement module are integrated and efficiently analyzed through the central processing module to obtain key information such as the foundation pit water level, rainfall infiltration, soil permeability, spatial position relationship and pumping well flow, thereby providing a scientific and reliable decision-making basis for the foundation pit pumping and drainage operation. Furthermore, based on the integrated and analyzed data, intelligent decision-making support can be provided for the foundation pit pumping and drainage operation, including calculating the initial pumping flow, dynamically adjusting the pumping flow and predicting the water level change trend, thereby improving the operation efficiency and accuracy. The present invention assists in realizing the precise control of the pumping flow through the intelligent measurement module, thereby avoiding unnecessary waste of resources, and thus can solve the problems of inaccurate monitoring data and insufficient decision-making basis in the traditional foundation pit pumping and drainage method.

[0039] 3. The present invention is provided with a central processing module, which includes an intelligent early warning unit, a remote manual intervention unit and a data visualization unit. Through the intelligent early warning unit, machine learning technology and anomaly detection algorithm are used to monitor the changing trend of the pumping flow in real time, predict possible failures or abnormal situations, and issue early warnings in advance so that timely measures can be taken to avoid the occurrence of potential problems. The remote manual intervention unit allows operators to remotely control and adjust the foundation pit pumping and drainage system through remote communication technology and remote control technology. In an emergency, the emergency response mechanism can be quickly activated to restore the normal operation of the system and ensure construction safety and stability. The data visualization unit enables operators to easily understand the system status and quickly identify problems through intuitive data display and interactive design, and make wise decisions based on historical data and real-time data, which helps to optimize pumping and drainage operations and improve efficiency and accuracy. Therefore, it can solve the problems of untimely early warning and response, inconvenience and low efficiency of remote control, and insufficient data utilization and difficult decision-making in traditional foundation pit pumping and drainage methods.

[0040] 4. The present invention is provided with an adaptive adjustment module, and the pumping flow is adjusted by the adaptive adjustment module. The adaptive adjustment module uses an adaptive control algorithm to dynamically adjust the pumping flow according to the data monitored in real time by the intelligent measurement module and the preset target value through the reinforcement learning optimization control strategy. The adaptive adjustment module can intelligently adjust the pumping flow according to the real-time monitored data and the preset target value to ensure that the pumping and drainage operation is always in the optimal state, thereby improving the operation efficiency. Through the adaptive control algorithm and the reinforcement learning optimization control strategy, the adaptive adjustment module can effectively respond to the changes of external factors such as the foundation pit water level and rainfall intensity, maintain the stability and reliability of the system, and dynamically adjust the pumping flow to avoid excessive pumping or insufficient pumping, thereby reducing water resource waste and reducing operating costs. The stability of the foundation pit water level is an important guarantee for construction safety. The adaptive adjustment module can adjust the pumping flow in real time to ensure that the foundation pit water level is always within a safe range and reduce construction risks. Therefore, the problems of inaccurate pumping flow regulation, poor system adaptability, serious resource waste and high construction safety risks in the traditional foundation pit pumping and drainage method can be solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a flow chart of pumping volume regulation of the present invention;

[0042] Figure 2 It is a schematic diagram of the observation position of the present invention; DETAILED DESCRIPTION

[0043] 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.

[0044] Embodiment 1:

[0045] See also Figure 1 and Figure 2 The present invention provides an embodiment: an automatic control method for foundation pit pumping and drainage under river recharge and rainfall, comprising the following steps:

[0046] Step S1, measuring the aquifer parameters in the area where the foundation pit is located through the intelligent measurement module;

[0047] The intelligent measurement module includes water level sensor, rainfall meter, soil permeability tester, distance meter, GPS and flow sensor.

[0048] Aquifer parameters include river water level, rainfall infiltration intensity, distance from the impermeable boundary to the river, pumping flow of the pumping well, distance between the observation point and the river boundary perpendicularly, distance between the observation point and the pumping well, distance between the pumping well and the river boundary perpendicularly, and distance between the observation point and the pumping well perpendicularly.

[0049] The water level sensor is used to measure the water level in the foundation pit and obtain the water level in the river;

[0050] Rain gauges and soil permeability testers are used to measure rainfall intensity and evaluate the soil's ability to absorb rainfall, thereby obtaining rainfall infiltration intensity.

[0051] The distance meter and GPS are used to measure the distance from the water barrier to the river, the distance from the observation point perpendicular to the river boundary, the distance from the observation point to the pumping well, the distance from the pumping well perpendicular to the river boundary, and the distance from the observation point perpendicular to the pumping well.

[0052] The flow sensor is installed at the outlet of the pumping well to measure the water flow rate of the pumping well.

[0053] Furthermore, the intelligent measurement module integrates a variety of high-precision sensors and measuring equipment. The water level sensor accurately measures the water level in the foundation pit. At the same time, as a direct reflection of the river water level, it provides key hydrological data for the automatic control method of foundation pit drainage. The rainfall meter monitors and records rainfall in real time, and evaluates the current rainfall intensity in combination with historical data. The soil permeability tester measures the soil's permeability coefficient to evaluate the soil's absorption and conduction capacity for rainfall, and then calculates the rainfall infiltration intensity. The rangefinder and GPS positioning system accurately measure the distance from the water barrier to the river, the vertical distance of the observation point relative to the river boundary, the distance between the observation point and the pumping well, the distance between the pumping well and the river boundary perpendicular to the river boundary, and the distance between the observation point and the pumping well perpendicular to the pumping well. These spatial position information is crucial for understanding the dynamics of water flow. The flow sensor is directly installed at the outlet of the pumping well to monitor and record the pumping flow of the pumping well in real time, providing the system with accurate flow data.

[0054] Embodiment 2:

[0055] See also Figure 1 and Figure 2 , an embodiment provided by the present invention: an automatic control method for foundation pit pumping and drainage under river recharge and rainfall effects,

[0056] Step S2, set the target water level h0, expected time t0, and calculate the initial pumping flow Q0;

[0057] The calculation formula (I) is as follows:

[0058]

[0059] Where: △h is the difference between the water level at the observation point and the target water level (m); h1 is the river water level (m); ε is the rainfall infiltration intensity (m / d); β is the evaporation intensity (m / d); K is the permeability coefficient (m / d); l is the distance from the water barrier to the river (m); Qw is the water flow rate of the pumping well (m 3 / d); a is the water level conductivity (m 2 / d); x is the distance between the observation point and the river boundary (m); r is the distance between the observation point and the pumping well (m); t is the pumping time; and Substitute u, W(u) is the well function, W(u) = -0.577-lnu;

[0060] The calculation formula (II) is as follows:

[0061] ρ 2 =(x0+x) 2 +y 2 ;

[0062] Where: x0 is the distance between the pumping well and the river boundary (m), y is the distance between the observation point and the pumping well (m);

[0063] Further, in Figure 2 middle:

[0064] The dashed lines on the left side of the y-axis represent rivers, which represent the recharge source of groundwater;

[0065] The dashed line on the right side of the y-axis represents the impermeable boundary, which is a natural barrier to groundwater flow;

[0066] The dots on the x-axis represent pumping wells, which are key facilities for lowering the water level in the foundation pit;

[0067] The dot above the pumping well represents the observation point, which is used to monitor the change of foundation pit water level in real time;

[0068] Before foundation pit construction, according to engineering requirements and geological conditions, a safe target water level h0 is set, and the pumping time t0 required to reach the water level is estimated;

[0069] In calculation formulas (I) and (II):

[0070] △h is the difference between the water level at the observation point and the target water level (m), indicating the height of the water level that needs to be lowered;

[0071] h1 is the river water level (m), representing the recharge of the river to the foundation pit groundwater;

[0072] ε is the rainfall infiltration intensity (m / d), reflecting the direct impact of rainfall on the change of foundation pit water level;

[0073] β is the evaporation intensity (m / d), considering the effect of water surface evaporation on the foundation pit water level;

[0074] K is the permeability coefficient (m / d), which describes the soil's ability to conduct water;

[0075] l is the distance from the water boundary to the river (m), which affects the range of river recharge;

[0076] a is the water level conductivity (m 2 / d), reflecting the propagation speed of water level changes in space;

[0077] x is the distance (m) between the observation point and the river boundary, which is used to locate the observation point;

[0078] r is the distance between the observation point and the pumping well (m), indicating the influence range of the pumping well on the water level at the observation point;

[0079] t is the pumping time (d), which records the time from the start of pumping to reaching the target water level;

[0080] x0 is the distance (m) between the pumping well and the river boundary, which locates the position of the pumping well;

[0081] y is the distance (m) between the observation point and the pumping well, which further determines the spatial position of the observation point.

[0082] Embodiment three:

[0083] See also Figure 1 and Figure 2 , an embodiment provided by the present invention: an automatic control method for foundation pit pumping and drainage under river recharge and rainfall effects,

[0084] Step S3, after the pumping time t, the water level h at the observation point and the pumping flow Qw1 are read by the intelligent measurement module, and the data monitored by the intelligent measurement module are uploaded to the central processing module through wireless communication and wired communication technology;

[0085] The central processing module includes an intelligent early warning unit, a remote manual intervention unit and a data visualization unit.

[0086] The intelligent early warning unit uses machine learning technology and anomaly detection algorithms to predict the changing trend of pumping flow by training neural network models, thereby realizing real-time monitoring and early warning as well as fault prediction and diagnosis functions.

[0087] The remote manual intervention unit utilizes remote communication technology and remote control technology to achieve remote control and adjustment and emergency response and recovery functions through control strategy algorithms and safety algorithms.

[0088] The data visualization unit uses data visualization technology and interactive design technology to achieve data display, analysis and decision support functions through data mapping algorithms and interactive logic algorithms.

[0089] Data display, analysis and decision support include real-time monitoring data display, historical data query and analysis, abnormal data detection and alarm, data comparison and trend prediction, and emergency response plan formulation.

[0090] Furthermore, as the pumping work proceeds, the pumping time t is accurately recorded to ensure that the pumping process complies with the preset time plan. The water level h and pumping flow Qw1 of the observation point can be read in real time through the intelligent measurement module. The aquifer parameters monitored by the intelligent measurement module, including river water level, rainfall infiltration intensity, the distance from the water barrier boundary to the river, the pumping flow of the pumping well, the distance between the observation point and the river boundary, the distance between the observation point and the pumping well, the distance between the pumping well and the river boundary, and the distance between the observation point and the pumping well are efficiently and stably uploaded to the central processing module through wireless communication and wired communication technology.

[0091] The intelligent early warning unit uses advanced machine learning technology and anomaly detection algorithms. The intelligent early warning unit can train neural network models, predict the changing trend of pumping flow, and promptly detect potential anomalies or faults. Through real-time monitoring data, it can promptly detect abnormal changes in water level or pumping flow and issue early warning signals. Based on historical data and machine learning models, it can predict possible failures and provide corresponding diagnostic suggestions.

[0092] The remote manual intervention unit utilizes remote communication technology and remote control technology. Workers can monitor and adjust the automatic control method of pumping and drainage in real time while being away from the site. The remote manual intervention unit has built-in multiple control strategy algorithms and security algorithms to ensure the stability and security of the system during the remote control process. In the event of an emergency, the emergency response mechanism can be quickly activated to make necessary adjustments or restore operations.

[0093] Through data visualization technology and interactive design technology, the data visualization unit can transform complex data into intuitive charts and reports. By using data mapping algorithms and interactive logic algorithms, it can flexibly display and analyze data according to user needs. The data visualization unit provides a wealth of data display and analysis functions, including real-time monitoring data display, historical data query and analysis, abnormal data detection and alarm, and data comparison and trend prediction. At the same time, it can also provide scientific decision-making support for decision makers based on data analysis results, including emergency response plan formulation, etc.

[0094] It not only realizes real-time monitoring and uploading of data during the pumping process, but also provides comprehensive and efficient technical support for automatic control of foundation pit pumping and drainage through the intelligent early warning, remote manual intervention and data visualization functions of the central processing module. These functions work together to ensure the safety, stability and efficiency of the foundation pit pumping and drainage process.

[0095] Embodiment 4:

[0096] See also Figure 1 and Figure 2 , an embodiment provided by the present invention: an automatic control method for foundation pit pumping and drainage under river recharge and rainfall effects,

[0097] Step S4, the central processing module compares the water level h at the observation point with the target water level h0. If the water level h at the observation point is greater than or equal to the target water level h0, pumping is stopped and continuous monitoring is performed through the intelligent measurement module.

[0098] Furthermore, the central processing module will receive the water level h data of the observation point uploaded by the intelligent measurement module in real time and compare it with the target water level h0;

[0099] If the water level h at the observation point is greater than or equal to the target water level h0, it means that the water level in the foundation pit is still too high and has not yet reached the standard for safety or construction requirements. At this time, the central processing module will immediately issue an instruction to stop the current pumping operation to avoid problems such as groundwater level imbalance or soil drying that may be caused by excessive pumping. After stopping pumping, the central processing module will continuously monitor the water level changes at the observation point, as well as possible rainfall and river recharge conditions through the intelligent measurement module to prepare for possible subsequent pumping operations. During the period of stopping pumping, the intelligent measurement module will continuously monitor the aquifer parameters in the foundation pit and upload the data to the central processing module in real time.

[0100] Embodiment five:

[0101] See also Figure 1 and Figure 2 , an embodiment provided by the present invention: an automatic control method for foundation pit pumping and drainage under river recharge and rainfall effects,

[0102] Step S5, if the water level h at the observation point is less than the target water level h0, calculate the difference △h between the water level h at the observation point and the target water level h0;

[0103] Furthermore, if the water level h data of the observation point uploaded by the intelligent measurement module is lower than the preset target water level h0, it means that the water level in the foundation pit is already lower than the expected safety or construction requirements. At this time, the central processing module will immediately calculate the difference △h between the water level h of the observation point and the target water level h0, that is, △h=h0-h.

[0104] The central processing module will determine whether the foundation pit water level is too low and whether further measures are needed to adjust the water level based on the size of the difference △h. If the difference △h is large, it means that the foundation pit water level is too low, which may have an adverse effect on the stability of the foundation pit or the construction environment. At this time, the central processing module will combine the current rainfall conditions, river recharge conditions, soil permeability and other factors to comprehensively consider whether it is necessary to adjust the pumping strategy, such as reducing the pumping flow, extending the pumping interval or stopping pumping.

[0105] While adjusting the pumping strategy, the central processing module will continue to monitor the water level changes in the foundation pit, as well as possible rainfall and river recharge through the intelligent measurement module. If it detects adverse factors such as a continuous drop in water level or a decrease in rainfall, it will promptly issue an early warning signal to remind staff to take appropriate countermeasures. Throughout the process, the central processing module will record all relevant data, including the water level h at the observation point, the target water level h0, the difference △h, the pumping flow, the pumping time, and the rainfall. These data will be used for subsequent data analysis and optimization of the pumping strategy.

[0106] Embodiment six:

[0107] See also Figure 1 and Figure 2 , an embodiment provided by the present invention: an automatic control method for foundation pit pumping and drainage under river recharge and rainfall effects,

[0108] Step S6, calculate the new pumping flow Qw2 through △h, adjust the pumping flow through the adaptive adjustment module, and continuously monitor through the intelligent measurement module.

[0109] The adaptive regulation module uses an adaptive control algorithm to optimize the control strategy through reinforcement learning based on the data monitored in real time by the intelligent measurement module and the preset target value, and dynamically adjusts the pumping flow.

[0110] Further, based on the water level difference △h calculated in step S5, the central processing module calculates a new pumping flow Qw2, which is intended to restore the water level in the foundation pit to near the target water level h0, or at least slow down the trend of water level decline.

[0111] The adaptive adjustment module is the core part of the automatic control system. It uses an adaptive control algorithm to dynamically adjust the pumping flow rate according to the real-time monitored data and the preset target value. The algorithm includes PID control, fuzzy control and neural network control. Reinforcement learning is a machine learning algorithm that learns how to take the best action to maximize a certain reward through interaction with the environment. In the present invention, the environment is the water level change in the foundation pit, the action is to adjust the pumping flow rate, and the reward is the degree to which the water level is close to the target value.

[0112] The adaptive regulation module continuously optimizes the control strategy through reinforcement learning based on the data provided by the intelligent measurement module and the preset target value. The strategy includes adjusting the operating parameters of the pumping equipment, changing the combination of the pumping equipment, and adjusting the pumping time interval. The adaptive regulation module dynamically adjusts the pumping flow Qw2 according to the size and direction of the water level difference △h, as well as the changing trends of rainfall and river recharge. When the water level difference △h is large and the rainfall decreases, the adaptive regulation module may increase the pumping flow to restore the water level as soon as possible, while when the water level difference △h is small and the rainfall increases, the pumping flow will be reduced to avoid over-pumping.

[0113] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. An automatic control method for foundation pit pumping and drainage under river recharge and rainfall, characterized in that: The steps include: Step S1, measuring the aquifer parameters in the area where the foundation pit is located through the intelligent measurement module; Step S2, set the target water level h0, expected time t0, and calculate the initial pumping flow Q0; Step S3, after the pumping time t, the water level h at the observation point and the pumping flow Qw1 are read by the intelligent measurement module, and the data monitored by the intelligent measurement module are uploaded to the central processing module through wireless communication and wired communication technology; Step S4, the central processing module compares the water level h at the observation point with the target water level h0. If the water level h at the observation point is greater than or equal to the target water level h0, pumping is stopped and continuous monitoring is performed through the intelligent measurement module. Step S5, if the water level h at the observation point is less than the target water level h0, calculate the difference △h between the water level h at the observation point and the target water level h0; Step S6, calculate the new pumping flow Qw2 through △h, adjust the pumping flow through the adaptive adjustment module, and continuously monitor through the intelligent measurement module.

2. The automatic control method for foundation pit pumping and drainage under river recharge and rainfall effect according to claim 1 is characterized by: The intelligent measurement module includes water level sensor, rainfall meter, soil permeability tester, distance meter, GPS and flow sensor; Aquifer parameters include river water level, rainfall infiltration intensity, distance from the impermeable boundary to the river, pumping flow of the pumping well, distance between the observation point and the river boundary perpendicularly, distance between the observation point and the pumping well, distance between the pumping well and the river boundary perpendicularly, and distance between the observation point and the pumping well perpendicularly.

3. The automatic control method for foundation pit pumping and drainage under river recharge and rainfall effect according to claim 2 is characterized by: The water level sensor is used to measure the water level in the foundation pit and obtain the water level in the river; Rain gauges and soil permeability testers are used to measure rainfall intensity and evaluate the soil's ability to absorb rainfall, thereby obtaining rainfall infiltration intensity. The distance meter and GPS are used to measure the distance from the water barrier to the river, the distance from the observation point perpendicular to the river boundary, the distance from the observation point to the pumping well, the distance from the pumping well perpendicular to the river boundary, and the distance from the observation point perpendicular to the pumping well. The flow sensor is installed at the outlet of the pumping well to measure the water flow rate of the pumping well.

4. The automatic control method for foundation pit pumping and drainage under river recharge and rainfall effect according to claim 1 is characterized by: Step S2 also includes: The calculation formula (I) is as follows: Where: △h is the difference between the water level at the observation point and the target water level (m); h1 is the river water level (m); ε is the rainfall infiltration intensity (m / d); β is the evaporation intensity (m / d); K is the permeability coefficient (m / d); l is the distance from the water barrier to the river (m); Qw is the water flow rate of the pumping well (m 3 / d); a is the water level conductivity (m 2 / d); x is the distance between the observation point and the river boundary (m); r is the distance between the observation point and the pumping well (m); t is the pumping time; and Substitute u, W(u) is the well function, W(u) = -0.577-lnu; The calculation formula (II) is as follows: ρ 2 =(x0+x) 2 +y 2 ; Where: x0 is the distance from the pumping well perpendicular to the river boundary (m), and y is the distance from the observation point perpendicular to the pumping well (m).

5. The automatic control method for foundation pit pumping and drainage under river recharge and rainfall effect according to claim 1 is characterized by: The central processing module includes an intelligent early warning unit, a remote manual intervention unit and a data visualization unit.

6. The automatic control method for foundation pit drainage under river recharge and rainfall effect according to claim 5 is characterized by: The intelligent early warning unit uses machine learning technology and anomaly detection algorithms to train neural network models to predict changing trends in pumping flow, thereby achieving real-time monitoring and early warning as well as fault prediction and diagnosis functions.

7. The automatic control method for pumping and draining water from a foundation pit under river recharge and rainfall effects according to claim 5 is characterized by: The remote manual intervention unit utilizes remote communication technology and remote control technology to achieve remote control and adjustment and emergency response and recovery functions through control strategy algorithms and safety algorithms.

8. The automatic control method for foundation pit drainage under river recharge and rainfall effect according to claim 5 is characterized by: The data visualization unit uses data visualization technology and interactive design technology to achieve data display, analysis and decision support functions through data mapping algorithms and interactive logic algorithms.

9. The automatic control method for pumping and draining water from a foundation pit under river recharge and rainfall effects according to claim 8 is characterized by: Data display, analysis and decision support include real-time monitoring data display, historical data query and analysis, abnormal data detection and alarm, data comparison and trend prediction, and emergency response plan formulation.

10. The automatic control method for foundation pit pumping and drainage under river recharge and rainfall effect according to claim 1, characterized in that: The adaptive regulation module uses an adaptive control algorithm to optimize the control strategy through reinforcement learning based on the data monitored in real time by the intelligent measurement module and the preset target value, and dynamically adjusts the pumping flow.

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