Foundation pit dewatering optimization method and system based on AI

Abstract

The invention discloses an AI-based foundation pit dewatering optimization method and system, and relates to the technical field of foundation pit dewatering, and the method comprises the following steps: 1, firstly, collecting the distribution data of foundation pits, collecting the size data of each foundation pit after the collection is completed, forming a foundation pit database after the collection is completed, marking each foundation pit, and storing the marked number in a database; the method comprises the following steps: step 1, when a new foundation pit is excavated, data of the new foundation pit are transmitted to a foundation pit database, step 2, after data acquisition of the foundation pit is completed, the acquired data are analyzed, and after analysis is completed, corresponding optimization schemes, namely a first optimization scheme, a second optimization scheme and a third optimization scheme, are formulated, wherein an emergency optimization scheme is independently set, and the emergency optimization scheme is periodically updated. In the foundation pit dewatering optimization process, the optimization schemes of different grades are set in advance, and the optimization schemes of the corresponding grades are used in the implementation process.

Description

Technical Field

[0001] The present invention relates to the technical field of foundation pit dewatering, and in particular to an AI-based foundation pit dewatering optimization method and system. Background Art

[0002] At present, foundation pits are temporary pits excavated below the ground for the construction of underground structures in construction projects. They are the basic link in underground engineering construction. During the use of existing foundation pits, pumping equipment needs to be installed inside the foundation pits. When the pumping equipment is in use, it needs to be manually started one by one. During the startup and completion process, the operation status of each device needs to be manually monitored. After the inspection is completed, the final analysis and judgment will be carried out, and optimization processing will be carried out after the analysis and judgment. This will greatly reduce the efficiency of optimization. If an abnormal situation occurs, timely adjustment cannot be made. Summary of the Invention

[0003] The purpose of the present invention is to provide an AI-based foundation pit dewatering optimization method and system to solve the problems raised in the above background technology.

[0004] To achieve the above objectives, the present invention provides the following technical solution: an AI-based foundation pit dewatering optimization method, comprising the following steps: Step 1: First, collect the distribution data of the foundation pits, and then collect the size data of each foundation pit. After the collection is completed, a foundation pit database is formed and each foundation pit is labeled. When a new foundation pit is excavated, the new foundation pit data is transferred to the foundation pit database; Step 2: After the data collection of the foundation pit is completed, the collected data is analyzed. After the analysis is completed, corresponding optimization plans are formulated, which are respectively the first optimization plan, the second optimization plan and the third optimization plan. A separate emergency optimization plan is also set, and the emergency optimization plan is updated regularly; Step 3: After the optimization plan is formulated, the implementation plan will be adjusted during the implementation process based on the accumulated water inside the foundation pit and the impact of the external environment.

[0005] Preferably, in step one, the scope of the construction area is first measured, and after the measurement is completed, a range database is created, and then the location of each foundation pit distribution is confirmed and collected. After the location data collection is completed, each foundation pit is numbered and marked in the form of A1, A2, A3...An, and after the marking is completed, the foundation pit well point spacing and depth data are collected.

[0006] Preferably, in the step one, soil quality data of the soil layer near the foundation pit is collected, and the data is analyzed after the collection is completed. After the analysis is completed, it is divided into two types: shallow wells and deep wells according to the final results. After the type classification of the foundation pit is completed, the corresponding energy-saving pump is selected, and the model of the energy-saving pump is collected. A liquid level sensor is installed inside each foundation pit, and the liquid level sensor is marked, respectively using B1, B2, B3...Bn for marking, and the energy-saving pump and the liquid level sensor are electrically connected to the external control center.

[0007] Preferably, in the step one, after data collection is completed, virtual technology and AL technology are used to build a virtual construction area, and according to the location of the foundation pit distribution, a virtual foundation pit is built inside the virtual construction area, and a virtual model of the installed energy-saving pump and liquid level sensor is built. The built virtual model is electrically connected to the control center. When the energy-saving pump and liquid level sensor are used, the working parameters are fed back to the model, which can be directly displayed through the model, and the working efficiency of the energy-saving pump is formulated, which are formulated as the first level, the second level and the third level respectively, and the first level is used for normal use.

[0008] Preferably, precipitation operation management is carried out in the step 2, and a detailed precipitation operation plan is formulated during the management to clarify the pumping time, frequency and intensity. The plans are respectively the first plan, the second plan and the third plan. The equipment in the foundation pit is checked regularly. When an abnormal situation is found, it is dealt with as soon as possible. Technical training is also provided to the construction personnel to improve their skills and emergency handling capabilities. Drills are organized regularly to ensure the effectiveness of the emergency plan.

[0009] Preferably, in the step 2, after the first optimization plan, the second optimization plan and the third optimization plan are formulated, they are practiced in advance on the constructed model, and during the practice, the problems generated are collected. After the collection is completed, the first optimization plan, the second optimization plan and the third optimization plan are adjusted again. After the adjustment is completed, the first optimization plan, the second optimization plan and the third optimization plan are marked, and an equipment maintenance and maintenance system is established. The energy-saving pumps and liquid level sensors are regularly inspected, maintained and maintained, and the circuits of the equipment in use are inspected. The situation inside the foundation pit is regularly monitored, and the debris inside the foundation pit is cleaned in time to ensure that there are no impurities inside the foundation pit. The implemented plan is evaluated in real time, and the thresholds for good evaluation are set in advance, divided into a first threshold and a second threshold. When the first threshold is reached, the second optimization plan will be started, and when the second threshold is reached, the third optimization plan will be started.

[0010] Preferably, the formulation of the emergency optimization plan in step 2 comprises the following steps: (1) Strengthen the inner cavity of the foundation pit, add a retaining layer around the top of the foundation pit, and cover the top of the foundation pit with rainproof materials to avoid the situation where the energy-saving pump cannot drain the accumulated water in a short time when encountering heavy rainfall. In addition, during the emergency treatment process, the soil geology near the foundation pit is tested. If any abnormality is found, the inner cavity of the foundation pit is immediately reinforced. (2) Detect the energy-saving pump and liquid level sensor. If any abnormality is detected, perform maintenance immediately and replace the equipment with a new one. (3) Clarify the emergency response process and division of responsibilities in advance, and equip emergency rescue equipment and materials, such as pumping equipment, support materials, rainproof materials, tarpaulins and medical equipment, and organize emergency drills regularly.

[0011] Preferably, in the step 3, during the optimization implementation process, the situation inside each foundation pit is monitored, and a monitoring threshold is set for each foundation pit. When the threshold set in advance is reached during the monitoring process, monitoring and pre-judgment are carried out to prepare for control and treatment in advance. The climate is monitored in advance, and the optimization implementation plan is adjusted according to the climate results to ensure the protection capability of the foundation pit when encountering abnormal climate. The changes in the groundwater level around the foundation pit are monitored, and the changes in the groundwater level are used as an auxiliary reference for prediction and judgment; And use the empirical formula to calculate the total water inflow of the foundation pit. The ratio of the total water inflow of the foundation pit to the water output of a single well is the number of precipitation wells to be arranged. The specific formula is as follows:

[0012] ; in, is the equivalent radius of the foundation pit (m), A is the area of the foundation pit (m 2 ), Q is the water inflow of the foundation pit (m 3 / d), H is the thickness of the aquifer (m), k is the permeability coefficient (m / d), h is the height from the water level in the pit to the bottom of the aquifer after precipitation (m), l is the length of the effective water inlet part of the filter (m), is (H+h) / 2 average dynamic water level (m), R is Dewatering impact radius (m), S is the depth of foundation pit water level drop (m), n is the number of dewatering wells, is the safety reserve factor, It is the water output capacity of a single well.

[0013] Preferably, in step three, AI technology is combined to simulate and analyze the foundation pit dewatering process, predict the dewatering effect and the impact on the surrounding environment, the power consumption of the equipment should comply with safety regulations, a dedicated distribution box is used, and a leakage protection device is installed. During the dewatering process, the monitoring of ground settlement, soil displacement and groundwater level changes around the foundation pit is strengthened, the monitoring data is analyzed in a timely manner, and measures are taken to adjust in time when abnormal conditions are found. The dewatering radius influence algorithm is used according to the influence of stable dewatering on the internal radius of the foundation pit, and the specific formula is as follows: ; Among them, R is the influence radius, S1, S 2为 Observe the water level drop in the foundation pit, r1 and r2 are the distances between the observation surface and the bottom point of the foundation pit, H is the effective thickness of the aquifer, and lgR is the final impact value; The permeability coefficient formula is used to calculate the liquid water permeability, and the specific formula is as follows: ; Among them, K is the permeability coefficient, Q is the flow rate, S1 and S2 are the water level depths of the foundation pit, r1 and r2 are the distances between the observation surface and the bottom point of the foundation pit, and H is the effective thickness of the aquifer; Before watering, conduct a detailed survey of buildings, underground pipelines, roads and other facilities around the foundation pit to understand their distribution, structure and usage, assess the impact of watering on equipment, and communicate and coordinate with the owners or managers of surrounding buildings and facilities to inform them of the watering construction status and possible impacts; The algorithm using the precipitation influence radius is: ; Where R is the influence radius (m), S W is the precipitation depth (m), k is the permeability coefficient (m), and H is the aquifer thickness (m); According to Darcy's law; ; Through the above two formulas, we can deduce , Here it can be used as hydraulic gradient, and in actual design, the influence range of the dewatering well can be adjusted by controlling the water level drawdown depth; In order to ensure the normal operation of the precipitation well and meet the precipitation requirements, it is necessary to ensure the water output of the precipitation well (the permeability of the formation )<Water inlet capacity of the dewatering well wall <Water flow capacity of precipitation well filter pipe , and then calculate and determine the design parameters of the dewatering well in turn; Formation permeability ; ; in: is the permeability of the formation (m 3 / d), s is the water level depth (m), k is the permeability coefficient (m / d), l is the working length of the filter tube (m), R is the influence radius (m), and r is the pore radius (m); Water inlet capacity of the dewatering well wall ; ; in, is the water inflow capacity of the precipitation well wall (m 3 / d), r is the outer diameter of the well wall (m), L is the water permeable working length of the filter tube (m), and k is the permeability coefficient (m / d); Water flow capacity of precipitation well filter pipe ; in, is the water flow capacity of the precipitation well filter pipe (m 3 / d), d is the outer diameter of the filter tube (m), l is the length of the water inlet part of the filter tube (m), and n is the effective porosity of the water inlet surface of the outer layer of the filter tube. The allowable water flow rate for the filter tube.

[0014] An AI-based foundation pit dewatering optimization system, comprising a data acquisition unit, a plan formulation unit, and a plan implementation unit; The data acquisition unit first collects the distribution data of the foundation pits, and then collects the size data of each foundation pit. After the collection is completed, a foundation pit database is formed and each foundation pit is labeled. When a new foundation pit is excavated, the new foundation pit data is transmitted to the foundation pit database. After the data collection of the foundation pit is completed, the scheme formulation unit analyzes the collected data and formulates corresponding optimization schemes after the analysis is completed, which are respectively the first optimization scheme, the second optimization scheme and the third optimization scheme. An emergency optimization scheme is also separately set, and the emergency optimization scheme is regularly updated; After the optimization plan is formulated, the plan implementation unit adjusts the implementation plan according to the water accumulation inside the foundation pit and the influence of the external environment during the implementation process.

[0015] Compared with the prior art, the present invention has the following beneficial effects: During the foundation pit dewatering optimization process, the present invention sets optimization schemes of different levels in advance, uses optimization schemes of corresponding levels during implementation, monitors each working end through the combination of virtual technology and AI technology, and performs unified monitoring and analysis. When the analysis threshold reaches a value set in advance, it is automatically converted into a corresponding optimization scheme for implementation. In the process of formulating the optimization scheme, the optimization scheme is simulated in advance, and the problems generated during the simulation are collected, and then the optimization scheme is adjusted to increase the stability and protection of the optimization scheme during use. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a flowchart of a method for prompting an embodiment of the present invention; Figure 2 The figure is a flowchart of a prompting system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0018] Example 1 See also Figure 1-Figure 2 The present invention provides a technical solution: an AI-based foundation pit dewatering optimization method, comprising the following steps: Step 1: First, collect the distribution data of the foundation pits, and then collect the size data of each foundation pit. After the collection is completed, a foundation pit database is formed and each foundation pit is labeled. When a new foundation pit is excavated, the new foundation pit data is transferred to the foundation pit database; Step 2: After the data collection of the foundation pit is completed, the collected data is analyzed. After the analysis is completed, corresponding optimization plans are formulated, which are respectively the first optimization plan, the second optimization plan and the third optimization plan. A separate emergency optimization plan is also set, and the emergency optimization plan is updated regularly; Step 3: After the optimization plan is formulated, the implementation plan will be adjusted during the implementation process based on the accumulated water inside the foundation pit and the impact of the external environment.

[0019] In step one, the scope of the construction area is first measured, and after the measurement is completed, a range database is created. Then, the location of each foundation pit distribution is confirmed and collected. After the location data collection is completed, each foundation pit is numbered and marked using the method of A1, A2, A3...An. After the marking is completed, the foundation pit well point spacing and depth data are collected.

[0020] In step one, soil quality data of the soil layer near the foundation pit is collected. After the collection is completed, the data is analyzed. After the analysis is completed, it is divided into two types: shallow wells and deep wells according to the final results. After the type classification of the foundation pit is completed, the corresponding energy-saving pump is selected, and the model of the energy-saving pump is collected. A liquid level sensor is installed inside each foundation pit, and the liquid level sensor is marked, using B1, B2, B3...Bn for identification, and the energy-saving pump and the liquid level sensor are electrically connected to the external control center.

[0021] In step one, after data collection is completed, virtual technology and AL technology are used to build a virtual construction area. According to the location of the foundation pit, a virtual foundation pit is built inside the virtual construction area, and a virtual model of the installed energy-saving pump and liquid level sensor is built. The built virtual model is electrically connected to the control center. When the energy-saving pump and liquid level sensor are used, the working parameters are fed back to the model, which can be directly displayed through the model. The working efficiency of the energy-saving pump is formulated and formulated as the first, second and third levels respectively. The first level is used for normal use.

[0022] In the second step, precipitation operation management is carried out, and a detailed precipitation operation plan is formulated during the management to clarify the pumping time, frequency and intensity. The plans are respectively the first plan, the second plan and the third plan. The equipment in the foundation pit is inspected regularly. When abnormal conditions are found, they are dealt with as soon as possible. Technical training is also provided to construction personnel to improve their skills and emergency handling capabilities. Drills are organized regularly to ensure the effectiveness of the emergency plan.

[0023] In step 2, after the first optimization plan, the second optimization plan and the third optimization plan are formulated, they are practiced in advance on the constructed model, and the problems generated are collected during the practice. After the collection is completed, the first optimization plan, the second optimization plan and the third optimization plan are adjusted again. After the adjustment is completed, the first optimization plan, the second optimization plan and the third optimization plan are marked, and an equipment maintenance and maintenance system is established. The energy-saving pumps and liquid level sensors are regularly inspected, maintained and maintained, and the circuits of the equipment in use are inspected. The situation inside the foundation pit is regularly monitored, and the debris inside the foundation pit is cleaned in time to ensure that there are no impurities inside the foundation pit. The implemented plan is evaluated in real time, and the thresholds for good judgment are set in advance, divided into the first threshold and the second threshold. When the first threshold is reached, the second optimization plan will be started, and when the second threshold is reached, the third optimization plan will be started.

[0024] The second step in developing the emergency optimization plan consists of the following steps: (1) Strengthen the inner cavity of the foundation pit, add a retaining layer around the top of the foundation pit, and cover the top of the foundation pit with rainproof materials to avoid the situation where the energy-saving pump cannot drain the accumulated water in a short time when encountering heavy rainfall. In addition, during the emergency treatment process, the soil geology near the foundation pit is tested. If any abnormality is found, the inner cavity of the foundation pit is immediately reinforced. (2) Detect the energy-saving pump and liquid level sensor. If any abnormality is detected, perform maintenance immediately and replace the equipment with a new one. (3) Clarify the emergency response process and division of responsibilities in advance, and equip emergency rescue equipment and materials, such as pumping equipment, support materials, rainproof materials, tarpaulins and medical equipment, and organize emergency drills regularly.

[0025] In step three, during the optimization implementation process, the situation inside each foundation pit is monitored, and a monitoring threshold is set for each foundation pit. When the pre-set threshold is reached during the monitoring process, monitoring and pre-judgment are carried out to prepare for control and treatment in advance. The climate is monitored in advance, and the optimization implementation plan is adjusted according to the climate results to ensure the protection capability of the foundation pit in the event of abnormal climate. The changes in the groundwater level around the foundation pit are monitored, and the changes in the groundwater level serve as an auxiliary reference for prediction and judgment. And use the empirical formula to calculate the total water inflow of the foundation pit. The ratio of the total water inflow of the foundation pit to the water output of a single well is the number of precipitation wells to be arranged. The specific formula is as follows:

[0026] ; in, is the equivalent radius of the foundation pit (m), A is the area of the foundation pit (m 2 ), Q is the water inflow of the foundation pit (m 3 / d), H is the thickness of the aquifer (m), k is the permeability coefficient (m / d), h is the height from the water level in the pit to the bottom of the aquifer after precipitation (m), l is the length of the effective water inlet part of the filter (m), is (H+h) / 2 average dynamic water level (m), R is Dewatering impact radius (m), S is the depth of foundation pit water level drop (m), n is the number of dewatering wells, is the safety reserve factor, It is the water output capacity of a single well.

[0027] In step three, AI technology is used to simulate and analyze the foundation pit dewatering process, predict the dewatering effect and its impact on the surrounding environment, and ensure that the power consumption of equipment complies with safety regulations. A dedicated distribution box is used and a leakage protection device is installed. During the dewatering process, the monitoring of ground settlement, soil displacement, and groundwater level changes around the foundation pit is strengthened. The monitoring data is analyzed in a timely manner, and measures are taken to adjust the abnormal situation in a timely manner. The dewatering radius impact algorithm is used to determine the impact of stable dewatering on the internal radius of the foundation pit. The specific formula is as follows: ; Among them, R is the influence radius, S1, S 2为 Observe the water level drop in the foundation pit, r1 and r2 are the distances between the observation surface and the bottom point of the foundation pit, H is the effective thickness of the aquifer, and lgR is the final impact value; The permeability coefficient formula is used to calculate the liquid water permeability, and the specific formula is as follows: ; Among them, K is the permeability coefficient, Q is the flow rate, S1 and S2 are the water level depths of the foundation pit, r1 and r2 are the distances between the observation surface and the bottom point of the foundation pit, and H is the effective thickness of the aquifer; Before watering, conduct a detailed survey of buildings, underground pipelines, roads and other facilities around the foundation pit to understand their distribution, structure and usage, assess the impact of watering on equipment, and communicate and coordinate with the owners or managers of surrounding buildings and facilities to inform them of the watering construction status and possible impacts; The algorithm using the precipitation influence radius is: ; Where R is the influence radius (m), S W is the precipitation depth (m), k is the permeability coefficient (m), and H is the aquifer thickness (m); According to Darcy's law; ; Through the above two formulas, we can deduce , Here it can be used as hydraulic gradient, and in actual design, the influence range of the dewatering well can be adjusted by controlling the water level drawdown depth; In order to ensure the normal operation of the precipitation well and meet the precipitation requirements, it is necessary to ensure the water output of the precipitation well (the permeability of the formation )<Water inlet capacity of the dewatering well wall <Water flow capacity of precipitation well filter pipe , and then calculate and determine the design parameters of the dewatering well in turn; Formation permeability ; ; in: is the permeability of the formation (m 3 / d), s is the water level depth (m), k is the permeability coefficient (m / d), l is the working length of the filter tube (m), R is the influence radius (m), and r is the pore radius (m); Water inlet capacity of the dewatering well wall ; ; in, is the water inflow capacity of the precipitation well wall (m 3 / d), r is the outer diameter of the well wall (m), L is the water permeable working length of the filter tube (m), and k is the permeability coefficient (m / d); Water flow capacity of precipitation well filter pipe ; in, is the water flow capacity of the precipitation well filter pipe (m 3 / d), d is the outer diameter of the filter tube (m), l is the length of the water inlet part of the filter tube (m), and n is the effective porosity of the water inlet surface of the outer layer of the filter tube. Allowable water flow rate for the filter tube.

[0028] Example 2 An AI-based foundation pit dewatering optimization system, comprising a data acquisition unit, a plan formulation unit, and a plan implementation unit; The data acquisition unit first collects the distribution data of the foundation pit, and then collects the size data of each foundation pit. After the collection is completed, a foundation pit database is formed and each foundation pit is labeled. When a new foundation pit is excavated, the new foundation pit data is transmitted to the foundation pit database; After the data collection of the foundation pit is completed, the plan formulation unit analyzes the collected data and formulates corresponding optimization plans after the analysis is completed. These plans are the first optimization plan, the second optimization plan and the third optimization plan. An emergency optimization plan is also set up separately, and the emergency optimization plan is updated regularly. After the optimization plan is formulated, the implementation unit will adjust the implementation plan according to the water accumulation inside the foundation pit and the influence of the external environment during the implementation process.

[0029] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0030] While 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 may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. An AI-based foundation pit dewatering optimization method, characterized by: The following steps are involved: Step 1: First, collect the distribution data of the foundation pits, and then collect the size data of each foundation pit. After the collection is completed, a foundation pit database is formed and each foundation pit is labeled. When a new foundation pit is excavated, the new foundation pit data is transferred to the foundation pit database; Step 2: After the data collection of the foundation pit is completed, the collected data is analyzed. After the analysis is completed, corresponding optimization plans are formulated, which are respectively the first optimization plan, the second optimization plan and the third optimization plan. A separate emergency optimization plan is also set, and the emergency optimization plan is updated regularly; Step 3: After the optimization plan is formulated, the implementation plan will be adjusted during the implementation process based on the accumulated water inside the foundation pit and the impact of the external environment.

2. The AI-based foundation pit dewatering optimization method according to claim 1, characterized in that: In the step 1, the scope of the construction area is first measured, and after the measurement is completed, a scope database is created, and then the location of each foundation pit distribution is confirmed and collected. After the location data collection is completed, each foundation pit is numbered and marked in the form of A1, A2, A3...An, and after the marking is completed, the foundation pit well point spacing and depth data are collected.

3. The AI-based foundation pit dewatering optimization method according to claim 1, characterized in that: In the step 1, soil quality data of the soil layer near the foundation pit is collected, and the data is analyzed after the collection is completed. After the analysis is completed, it is divided into two types: shallow wells and deep wells according to the final results. After the type classification of the foundation pit is completed, the corresponding energy-saving pump is selected, and the model of the energy-saving pump is collected. A liquid level sensor is installed inside each foundation pit, and the liquid level sensor is marked, using B1, B2, B3...Bn for marking, and the energy-saving pump and the liquid level sensor are electrically connected to the external control center.

4. The AI-based foundation pit dewatering optimization method according to claim 1, characterized in that: In the step 1, after data collection is completed, virtual technology and AL technology are used to build a virtual construction area, and according to the location of the foundation pit distribution, a virtual foundation pit is built inside the virtual construction area, and a virtual model of the installed energy-saving pump and liquid level sensor is built. The built virtual model is electrically connected to the control center. When the energy-saving pump and liquid level sensor are used, the working parameters are fed back to the model, which can be directly displayed through the model, and the working efficiency of the energy-saving pump is formulated, which are respectively formulated into the first level, the second level and the third level. The first level is used for normal use.

5. The AI-based foundation pit dewatering optimization method according to claim 1, characterized in that: In the second step, precipitation operation management is carried out, and a detailed precipitation operation plan is formulated during the management to clarify the pumping time, frequency and intensity. The plans are respectively the first plan, the second plan and the third plan. The equipment in the foundation pit is inspected regularly. When an abnormal situation is found, it is handled as soon as possible. Technical training is also provided to construction personnel to improve their skills and emergency handling capabilities. Drills are organized regularly to ensure the effectiveness of the emergency plan.

6. The AI-based foundation pit dewatering optimization method according to claim 1, characterized in that: In the step 2, after the first optimization plan, the second optimization plan and the third optimization plan are formulated, they are practiced in advance on the constructed model, and during the practice, the problems generated are collected. After the collection is completed, the first optimization plan, the second optimization plan and the third optimization plan are adjusted again. After the adjustment is completed, the first optimization plan, the second optimization plan and the third optimization plan are marked, and an equipment maintenance and maintenance system is established. The energy-saving pumps and liquid level sensors are regularly inspected, maintained and maintained, and the circuits of the equipment in use are inspected. The situation inside the foundation pit is regularly monitored, and the debris inside the foundation pit is cleaned in time to ensure that there are no impurities inside the foundation pit. The implemented plan is evaluated in real time, and the thresholds for good judgment are set in advance, divided into a first threshold and a second threshold. When the first threshold is reached, the second optimization plan will be started, and when the second threshold is reached, the third optimization plan will be started.

7. The AI-based foundation pit dewatering optimization method according to claim 1, characterized in that: The emergency optimization plan in step 2 is formulated by the following steps: (1) Strengthen the inner cavity of the foundation pit, add a retaining layer around the top of the foundation pit, and cover the top of the foundation pit with rainproof materials to avoid the situation where the energy-saving pump cannot drain the accumulated water in a short time when encountering heavy rainfall. In addition, during the emergency treatment process, the soil geology near the foundation pit is tested. If any abnormality is found, the inner cavity of the foundation pit is immediately reinforced. (2) Detect the energy-saving pump and liquid level sensor. If any abnormality is detected, perform maintenance immediately and replace the equipment with a new one. (3) Clarify the emergency response process and division of responsibilities in advance, and equip emergency rescue equipment and materials, such as pumping equipment, support materials, rainproof materials, tarpaulins and medical equipment, and organize emergency drills regularly.

8. The AI-based foundation pit dewatering optimization method according to claim 1, characterized in that: During the optimization implementation process in step three, the situation inside each foundation pit is monitored, and a monitoring threshold is set for each foundation pit. When the threshold set in advance is reached during the monitoring process, monitoring and pre-judgment are carried out to prepare for control and treatment in advance. The climate is monitored in advance, and the optimization implementation plan is adjusted according to the climate results to ensure the protection capability of the foundation pit in the event of abnormal climate. The changes in the groundwater level around the foundation pit are monitored, and the changes in the groundwater level serve as an auxiliary reference for prediction and judgment; And use the empirical formula to calculate the total water inflow of the foundation pit. The ratio of the total water inflow of the foundation pit to the water output of a single well is the number of precipitation wells to be arranged. The specific formula is as follows: ； ； in, is the equivalent radius of the foundation pit (m), A is the area of the foundation pit (m 2 ), Q is the water inflow of the foundation pit (m 3 / d), H is the thickness of the aquifer (m), k is the permeability coefficient (m / d), h is the height from the water level in the pit to the bottom of the aquifer after precipitation (m), l is the length of the effective water inlet part of the filter (m), is (H+h) / 2 average dynamic water level (m), R is Dewatering impact radius (m), S is the depth of foundation pit water level drop (m), n is the number of dewatering wells, is the safety reserve factor, It is the water output capacity of a single well.

9. The AI-based foundation pit dewatering optimization method and system according to claim 1, characterized in that: In step three, AI technology is used to simulate and analyze the foundation pit dewatering process, predict the dewatering effect and its impact on the surrounding environment, ensure that the power consumption of equipment complies with safety regulations, use a dedicated distribution box, and install a leakage protection device. During the dewatering process, strengthen the monitoring of ground settlement, soil displacement, and groundwater level changes around the foundation pit, analyze the monitoring data in a timely manner, and take timely measures to adjust if any abnormal situation is found; Before precipitation, a detailed survey of buildings, underground pipelines, roads and other facilities around the foundation pit should be conducted to understand their distribution, structure and usage, assess the impact of precipitation on equipment, communicate and coordinate with the owners or managers of surrounding buildings and facilities, inform them of the precipitation construction situation and possible impact, and use the precipitation impact radius algorithm as follows: ； Where R is the influence radius (m), S W is the precipitation depth (m), k is the permeability coefficient (m), and H is the aquifer thickness (m); According to Darcy's law; ； Through the above two formulas, we can deduce , Here it can be used as hydraulic gradient, and in actual design, the influence range of the dewatering well can be adjusted by controlling the water level drawdown depth; In order to ensure the normal operation of the precipitation well and meet the precipitation requirements, it is necessary to ensure the water output of the precipitation well (the permeability of the formation )<Water inlet capacity of the dewatering well wall <Water flow capacity of precipitation well filter pipe , and then calculate and determine the design parameters of the dewatering well in turn; Formation permeability ; ； in: is the permeability of the formation (m 3 / d), s is the water level depth (m), k is the permeability coefficient (m / d), l is the working length of the filter tube (m), R is the influence radius (m), and r is the pore radius (m); Water inlet capacity of the dewatering well wall ; ； in, is the water inflow capacity of the precipitation well wall (m 3 / d), r is the outer diameter of the well wall (m), L is the water permeable working length of the filter tube (m), and k is the permeability coefficient (m / d); Water flow capacity of precipitation well filter pipe ; ； in, is the water flow capacity of the precipitation well filter pipe (m 3 / d), d is the outer diameter of the filter tube (m), l is the length of the water inlet part of the filter tube (m), and n is the effective porosity of the water inlet surface of the outer layer of the filter tube. Allowable water flow rate for the filter tube.

10. An AI-based foundation pit dewatering optimization system, characterized by: It includes data collection unit, program formulation unit and program implementation unit; The data acquisition unit first collects the distribution data of the foundation pits, and then collects the size data of each foundation pit. After the collection is completed, a foundation pit database is formed and each foundation pit is labeled. When a new foundation pit is excavated, the new foundation pit data is transmitted to the foundation pit database. After the data collection of the foundation pit is completed, the scheme formulation unit analyzes the collected data and formulates corresponding optimization schemes after the analysis is completed, which are respectively the first optimization scheme, the second optimization scheme and the third optimization scheme. An emergency optimization scheme is also separately set, and the emergency optimization scheme is regularly updated; After the optimization plan is formulated, the plan implementation unit adjusts the implementation plan according to the water accumulation inside the foundation pit and the influence of the external environment during the implementation process.

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