An apparatus and control system for groundwater remediation simulation

Abstract

The application discloses a groundwater pollution remediation simulation device and a control system, relates to the technical field of groundwater pollution remediation, and aims to solve the problems of traditional simulation experiment devices in the detection and supplement of microbial concentration. The device comprises a test table provided with a detachable PMMA organic glass column at the top, a raw water sample barrel and a water outlet collecting barrel are arranged on the two sides of the test table, and a storage tank is arranged on one side of the PMMA organic glass column. The top end and the bottom end of the PMMA organic glass column are provided with detachable stainless steel quick couplings, sensors for detecting the microbial concentration in the column are arranged on the inner wall, and the outer wall is provided with a control box connected with the sensors, and the control box is used for adjusting the microbial concentration of the water body in the column. The application can automatically identify and manage the microbial concentration, and has high control and adjustment efficiency.

Description

Technical Field

[0001] This invention relates to the field of groundwater pollution remediation technology, and more specifically, to a groundwater pollution remediation simulation device and control system. Background Technology

[0002] Groundwater pollution remediation, as one of the core issues in the current environmental protection field, has attracted widespread attention in recent years. With the acceleration of industrialization, groundwater resources face increasingly severe pollution problems, especially the treatment of certain recalcitrant organic pollutants. Permeable reactive barriers (PRBs), as an innovative groundwater remediation technology, have been widely used in the treatment of groundwater pollution. However, in PRB laboratory simulations, traditional simulation columns often show limited effectiveness in the remediation of such pollutants. To effectively improve remediation efficiency, bioaugmentation technology has emerged as an important means of groundwater pollution control. By introducing specific microorganisms or biomaterials into groundwater, bioaugmentation technology can significantly enhance the degradation capacity of pollutants, especially in the treatment of recalcitrant organic pollutants such as benzene and toluene, achieving more efficient removal results.

[0003] However, in existing traditional simulated experimental columns, the continuous microbial reaction process leads to a gradual decrease in microbial concentration, thus affecting experimental results and remediation efficiency. To maintain the stability and accuracy of the experimental process, regular monitoring of microbial concentration is necessary, with replenishment required when the concentration falls below a certain value. However, this operation not only requires significant time and effort but is also susceptible to substantial human error, easily impacting the reliability of experimental results and remediation efficiency.

[0004] To address this issue, we propose a novel groundwater pollution remediation simulation device and control system. This system aims to automatically monitor changes in microbial concentration in real time during the experiment and automatically replenish microorganisms when the concentration drops to a set threshold. This innovative design effectively solves the errors and inconveniences caused by manual operation in traditional methods, improving the accuracy and efficiency of experimental operations, while providing more stable and reliable experimental conditions for groundwater pollution remediation. Through this control system, the microbial concentration during the experiment can be effectively managed, thereby improving the effectiveness and efficiency of groundwater pollution remediation. Summary of the Invention

[0005] The purpose of this invention is to provide a groundwater pollution remediation simulation device and control system to solve the technical problem that traditional simulation experimental columns are not convenient for detecting microbial concentration and timely replenishment.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a groundwater pollution remediation simulation device, including a test platform with a detachable PMMA organic glass column on the top, raw water sample buckets and effluent collection buckets set on both sides of the test platform, and a storage tank set on one side of the PMMA organic glass column. The top and bottom of the PMMA acrylic column are equipped with detachable stainless steel quick-connect fittings, and a microbial concentration sensor for detecting the concentration of microorganisms inside the PMMA acrylic column is arranged on the inner wall of the PMMA acrylic column. A control box connected to the microbial concentration sensor and used to regulate the concentration of microorganisms in the water inside the PMMA acrylic column is also provided on the outer wall of the PMMA acrylic column.

[0007] Preferably, the storage tank has a built-in partition that divides the interior of the storage tank into upper and lower chambers. The upper chamber stores nutrient solution, and the lower chamber stores microorganisms. The storage tank is connected to the PMMA organic glass column by a first filling pipe and a second filling pipe, which respectively connect the upper and lower chambers. A peristaltic pump is installed at one end of each of the first and second filling pipes.

[0008] Preferably, the inside of the water collection tank is provided with a detachable water outlet pipe, the top of which is connected to the interior of the PMMA plexiglass column via a stainless steel quick-connect fitting.

[0009] Preferably, the raw water sample container is equipped with a detachable Viton hose, and the end of the Viton hose away from the raw water sample container is connected to the interior of the PMMA acrylic column via a stainless steel quick-connect fitting at the bottom.

[0010] Preferably, the raw water sample container is also equipped with a detachable gas tube. The end of the gas tube away from the raw water sample container is connected to a gas bag filled with inert gas to maintain the gas pressure inside the PMMA organic glass column and reduce the volatilization of organic matter.

[0011] Preferably, the outer edge of the PMMA organic glass column has a plurality of sampling ports vertically formed thereon.

[0012] A control system for a groundwater pollution remediation simulation device includes: The microbial concentration module is connected to the microbial concentration sensor and is used to detect the microbial concentration inside the PMMA organic glass column. The data processing module, connected to the microbial concentration module, is used to process the microbial concentration data acquired by the microbial concentration module and preset low concentration thresholds and ultra-low concentration thresholds. The control execution module is connected to the data processing module and the peristaltic pump. When the microbial concentration inside the PMMA acrylic glass column is lower than the low concentration threshold, the peristaltic pump is controlled to quantitatively inject nutrient solution into the PMMA acrylic glass column. When the microbial concentration inside the PMMA acrylic glass column is lower than the ultra-low concentration threshold, the peristaltic pump is controlled to quantitatively inject nutrient solution and microbial suspension into the PMMA acrylic glass column. The microbial concentration module, the data processing module and the control execution module are all built into the control box.

[0013] Preferably, the microbial concentration sensor uses a microfluidic chip to achieve automated bacterial detection, and the detection method is as follows: The microfluidic chip is internally designed with a microchannel network to guide the orderly flow of water samples containing microorganisms within the chip. Multiple reaction regions are pre-coated with specific capture probes targeting particular microorganisms. As the water sample flows through, the microorganisms specifically bind to the capture probes, triggering a biochemical reaction. A fluorescently labeled substrate reacts with microbial metabolic enzymes to generate a fluorescence signal. The microfluidic chip's highly sensitive fluorescence detection module monitors changes in fluorescence signal intensity and converts them into an electrical signal, which is then transmitted to the microbial concentration module. The microbial concentration module, based on the received electrical signal and a pre-set concentration algorithm, captures, enriches, and analyzes the microorganisms within the experimental column to obtain microbial concentration information. The algorithm formula for calculating microbial concentration is as follows: ,in, Indicates in Microbial concentration at that time The function representing the change of fluorescence signal intensity over time. The function representing the change of water sample flow velocity over time. This represents a function of a coefficient that varies with time and is related to microbial characteristics, reaction kinetics, and the physical parameters of the microfluidic chip. Indicates time.

[0014] Preferably, the data processing module sets low-concentration and ultra-low-concentration thresholds based on the type and concentration of the pollutants being treated, as well as the growth characteristics and metabolic rate of the microorganisms. For high-concentration pollutants that are difficult to degrade, the microorganisms need to have high activity and quantity to ensure the degradation effect. The low-concentration threshold is set according to the formula... The calculation shows that the ultra-low concentration threshold is determined by the formula. The calculation shows that, Indicates parameters related to pollutants, Indicates microbial-related parameters, This indicates the relevant parameters of the repair environment; In this process, the steps for determining the low concentration threshold and ultra-low concentration threshold using mathematical modeling and data analysis methods are as follows: Collect past groundwater pollution remediation experimental data, including data on different types of pollutants, different microbial species, and their remediation effects under different environmental conditions, and organize this data into a dataset. ,in, It is the first Pollutant parameters of the group experiment, It is the first Microbial parameters of the group experiment, It is the first Environmental parameters of the group experiment, It is the first Microbial concentration in the group experiment It is the first Indicators of repair efficacy in the group experiments; Construct a mathematical model and define the repair effect. With pollutant parameters Microbial parameters Environmental parameters and microbial concentration The functional relationship between them is To find this functional relationship, multiple regression analysis is used for modeling. Let the function be... ,in, , , , , These are the coefficients to be estimated, obtained by analyzing the dataset. The fitting calculation yielded the following results: This is the error term.

[0015] Preferably, based on the established model and in conjunction with specific pollutant parameters... Microbial parameters and environmental parameters and the desired repair effect. By solving the equation To determine the appropriate microbial concentration threshold; For low concentration threshold Set a high expected repair effect indicator By solving the equation get ,Right now: , ; For ultra-low concentration threshold Set an extremely high expected repair effect index By solving the equation get ,Right now: , ; Preferably, in the control execution module, the volume of the PMMA acrylic glass column is set to... Furthermore, when the microbial concentration is below the low concentration threshold, the volume of nutrient solution replenished each time is determined according to the formula. Calculate, where, This indicates the current microbial concentration, that is, the concentration of microorganisms detected that are below the low concentration threshold. This indicates the composition and proportion parameters of the nutrient solution; The initial concentration of microorganisms in the microbial suspension is determined by the formula. Calculate and replenish the nutrient solution volume according to the formula. calculate.

[0016] Compared with the prior art, the beneficial effects of the present invention are: This invention designs a microbial concentration sensor to detect the concentration of microorganisms in the water inside a PMMA (polymethyl methacrylate) column. The microbial concentration module sends concentration information to a data processing module, which compares this information with preset low and ultra-low concentration thresholds. Based on this comparison, the data processing module sends instructions to the control execution module to replenish either the nutrient solution or the microbial suspension. The control execution module then controls a peristaltic pump to execute these instructions. This automatic identification and management of microbial concentration reduces the complexity and errors of manual operation, improves the accuracy and reliability of experiments, and solves the problem that traditional simulated experimental columns are inconvenient for detecting and replenishing microbial concentrations. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the structure of the present invention; Figure 2 This is a schematic diagram of the system framework of the present invention.

[0018] Explanation of the labels in the diagram: 1. Test bench; 2. PMMA acrylic column; 3. Water outlet pipe; 4. Water collection bucket; 5. Sampling port; 6. Control box; 7. Viton hose; 8. Raw water sample bucket; 9. Gas bag; 10. Gas tube; 11. Microbial concentration sensor; 12. Storage tank; 13. Filling tube one; 14. Filling tube two. Detailed Implementation

[0019] Example 1: As Figure 1 As shown, the present invention relates to a groundwater pollution remediation simulation device, comprising a test platform 1 with a detachable PMMA plexiglass column 2 on the top, raw water sample tanks 8 and effluent collection tanks 4 on both sides of the test platform 1, and a storage tank 12 on one side of the PMMA plexiglass column 2. The top and bottom of the PMMA acrylic column 2 are equipped with detachable stainless steel quick-connect fittings, and a microbial concentration sensor 11 for detecting the concentration of microorganisms inside the PMMA acrylic column 2 is arranged on the inner wall of the PMMA acrylic column 2. A control box 6 connected to the microbial concentration sensor 11 and used to regulate the concentration of microorganisms in the water inside the PMMA acrylic column 2 is also provided on the outer wall of the PMMA acrylic column 2.

[0020] In an embodiment of the present invention, the storage tank 12 is equipped with a partition, which divides the interior of the storage tank 12 into upper and lower chambers. The upper chamber stores nutrient solution, and the lower chamber stores microorganisms. The storage tank 12 is connected to the PMMA organic glass column 2 by a first filling pipe 13 and a second filling pipe 14, which respectively connect the upper chamber and the lower chamber. A peristaltic pump is installed at one end of each of the first filling pipe 13 and the second filling pipe 14.

[0021] In an embodiment of the present invention, the inside of the water collection tank 4 is provided with a detachable water outlet pipe 3, the top end of the water outlet pipe 3 is connected to the inside of the PMMA plexiglass column 2 via a stainless steel quick-connect fitting, and the inside of the raw water sample tank 8 is provided with a detachable Viton hose 7, the end of the Viton hose 7 away from the raw water sample tank 8 is connected to the inside of the PMMA plexiglass column 2 via a stainless steel quick-connect fitting.

[0022] In an embodiment of the present invention, the raw water sample container 8 is further provided with a detachable air pipe 10. The end of the air pipe 10 away from the raw water sample container 8 is connected to an air bag 9 filled with inert gas and used to maintain the air pressure inside the PMMA organic glass column 2 and reduce the volatilization of organic matter. Several sampling ports 5 are vertically formed on the outer edge surface of the PMMA organic glass column 2, and the several sampling ports 5 are arranged at a certain distance.

[0023] Example 2: As Figure 2 As shown, a control system for a groundwater pollution remediation simulation device includes: The microbial concentration module is connected to the microbial concentration sensor 11 and is used to detect the microbial concentration inside the PMMA organic glass column 2. Among them, the microbial concentration sensor 11 uses microfluidic chip technology to realize the automated detection of bacteria. Through the microchannels and reaction areas in the microfluidic chip, microorganisms in the experimental column are captured, enriched and analyzed to obtain microbial concentration information. The data processing module, connected to the microbial concentration module, is used to process the microbial concentration data acquired by the microbial concentration module and preset low concentration thresholds and ultra-low concentration thresholds. The control execution module is connected to the data processing module and the peristaltic pump. When the concentration of microorganisms inside the PMMA plexiglass column 2 is lower than the low concentration threshold, the peristaltic pump is controlled to quantitatively inject nutrient solution into the PMMA plexiglass column 2. When the concentration of microorganisms inside the PMMA plexiglass column 2 is lower than the ultra-low concentration threshold, the peristaltic pump is controlled to quantitatively inject nutrient solution and microbial suspension into the PMMA plexiglass column 2.

[0024] When the concentration of microorganisms inside the PMMA acrylic glass column 2 is lower than the low concentration threshold, quantitative supplementation of nutrient solution can promote the growth and reproduction of microorganisms inside the PMMA acrylic glass column 2. When the concentration of microorganisms inside the PMMA acrylic glass column 2 is lower than the ultra-low concentration threshold, a nutrient solution and a microbial suspension are quantitatively injected into the PMMA acrylic glass column 2. At the same time, when the concentration of microorganisms inside the PMMA acrylic glass column 2 is lower than the ultra-low concentration threshold, it will inevitably be lower than the low concentration threshold. Nutrient solution is quantitatively added to promote the growth and reproduction of microorganisms in the added microbial suspension.

[0025] The microbial concentration sensor 11 uses a microfluidic chip to achieve automated bacterial detection. The detection method is as follows: The microfluidic chip is internally designed with a microchannel network to guide the orderly flow of water samples containing microorganisms within the chip. Multiple reaction regions are pre-coated with specific capture probes targeting particular microorganisms. As the water sample flows through, the microorganisms specifically bind to the capture probes, triggering a biochemical reaction. A fluorescently labeled substrate reacts with microbial metabolic enzymes to generate a fluorescence signal. The microfluidic chip's highly sensitive fluorescence detection module monitors changes in fluorescence signal intensity and converts them into an electrical signal, which is then transmitted to the microbial concentration module. The microbial concentration module, based on the received electrical signal and a pre-set concentration algorithm, captures, enriches, and analyzes the microorganisms within the experimental column to obtain microbial concentration information. The algorithm formula for calculating microbial concentration is as follows: ,in, Indicates in Microbial concentration at that time The function representing the change of fluorescence signal intensity over time. The function representing the change of water sample flow velocity over time. This represents a function that expresses a coefficient related to microbial characteristics, reaction kinetics, and microfluidic chip physical parameters as a function of time. This coefficient comprehensively considers the characteristics of the microorganisms themselves, such as the metabolic rate of different microbial species and their affinity for substrates; reaction kinetic factors, such as the rate constant of biochemical reactions; and the physical parameters of the microfluidic chip, such as the size of the microchannels and surface properties. These factors may change over time. Indicates time.

[0026] In embodiments of the present invention, the data processing module sets low-concentration and ultra-low-concentration thresholds based on the type and concentration of the pollutants being processed, as well as the microbial growth characteristics and metabolic rates. For high-concentration pollutants that are difficult to degrade, microorganisms need to have high activity and quantity to ensure the degradation effect. The low-concentration threshold is determined according to the formula... The calculation shows that the ultra-low concentration threshold is determined by the formula. The calculation shows that, These parameters represent pollutant-related parameters, including the type of pollutant (e.g., organic pollutants, heavy metal pollutants), the concentration of the pollutant, and the chemical structural characteristics of the pollutant (e.g., molecular weight, functional groups). These parameters affect the difficulty and rate of microbial degradation of pollutants. This indicates microbial-related parameters, covering the type of microorganism (e.g., bacteria, fungi), physiological characteristics (e.g., growth rate, metabolic pathways, enzyme systems), and initial inoculum size. Different microorganisms have different processing capabilities when faced with the same pollutant. The parameters related to environmental remediation involve the physicochemical properties of groundwater, such as temperature, pH, dissolved oxygen content, salinity, and water flow velocity. Environmental factors have a significant impact on the activity of microorganisms and the availability of pollutants. In this process, the steps for determining the low concentration threshold and ultra-low concentration threshold using mathematical modeling and data analysis methods are as follows: Collect past groundwater pollution remediation experimental data, including data on different types of pollutants, different microbial species, and their remediation effects under different environmental conditions, and organize this data into a dataset. ,in, It is the first Pollutant parameters of the group experiment, It is the first Microbial parameters of the group experiment, It is the first Environmental parameters of the group experiment, It is the first Microbial concentration in the group experiment It is the first Indicators of repair efficacy in the group experiments; Construct a mathematical model and define the repair effect. With pollutant parameters Microbial parameters Environmental parameters and microbial concentration The functional relationship between them is To find this functional relationship, multiple regression analysis is used for modeling. Let the function be... ,in, , , , , These are the coefficients to be estimated, obtained by analyzing the dataset. The fitting calculations show that these parameters reflect the degree of influence of each parameter on the repair effect. Different coefficient magnitudes and signs indicate the contribution and direction of influence of different parameters on the repair effect. This is the error term.

[0027] In embodiments of the present invention, based on the established model and in conjunction with specific pollutant parameters... Microbial parameters and environmental parameters and the desired repair effect. By solving the equation To determine the appropriate microbial concentration threshold; For low concentration threshold Set a high expected repair effect indicator By solving the equation get ,Right now: , ; For ultra-low concentration threshold Set an extremely high expected repair effect index By solving the equation get ,Right now: , ; In an embodiment of the present invention, in the control execution module, the volume of the PMMA acrylic glass column 2 is set to be... Furthermore, when the microbial concentration is below the low concentration threshold, the volume of nutrient solution replenished each time is determined according to the formula. Calculate, where, This indicates the current microbial concentration, that is, the concentration of microorganisms detected that are below the low concentration threshold. This indicates the composition and proportion parameters of the nutrient solution; The initial concentration of microorganisms in the microbial suspension is determined by the formula. Calculate and replenish the nutrient solution volume according to the formula. The calculation ensures that the newly added microorganisms grow and reproduce in a suitable nutrient environment, thereby increasing the overall concentration and activity of microorganisms in the column. Furthermore, the quantitative supplementation ratio and volume can be optimized and adjusted based on different experimental conditions and microbial species through preliminary experiments and data analysis.

[0028] Working Principle: This embodiment provides a groundwater pollution remediation simulation device and control system. During use, peristaltic pumps are installed at the ends of the Viton hose 7 and the outlet pipe 3 connected to the stainless steel quick-connect fittings. The peristaltic pumps draw groundwater from the raw water sample container 8, allowing the polluted water to enter the PMMA organic glass column 2. The pollutants are degraded by the microorganisms within the PMMA organic glass column 2. During the purification process, the microbial concentration sensor 11 detects the microbial concentration within the PMMA organic glass column 2 and sends the concentration information to the data processing module. The data processing module analyzes the microbial concentration within the PMMA organic glass column 2. When the microbial concentration is below the low concentration threshold, the peristaltic pump controls the nutrient solution in the storage tank 12 to flow through the first injection pipe 13 into the PMMA organic glass column 2, thereby promoting microbial reproduction. When the microbial concentration is below the ultra-low concentration threshold, the peristaltic pump controls the microbial suspension in the storage tank 12 to flow through the second injection pipe 14 into the PMMA organic glass column 2, thereby adding microorganisms to ensure that the groundwater pollution is fully purified.

[0029] The embodiments disclosed in this invention are preferred embodiments, but are not limited thereto. Those skilled in the art can easily understand the spirit of this invention based on the above embodiments and make different extensions and variations, but as long as they do not depart from the spirit of this invention, they are all within the protection scope of this invention.

Claims

1. A control system for a groundwater pollution remediation simulation device, characterized in that, The device includes a test bench (1) with a detachable PMMA organic glass column (2) on the top, a raw water sample tank (8) and an outlet water collection tank (4) on both sides of the test bench (1), and a storage tank (12) on one side of the PMMA organic glass column (2). The top and bottom of the PMMA organic glass column (2) are equipped with detachable stainless steel quick-connect fittings, and a microbial concentration sensor (11) for detecting the concentration of microorganisms inside the PMMA organic glass column (2) is arranged on the inner wall of the PMMA organic glass column (2). A control box (6) connected to the microbial concentration sensor (11) and used to regulate the concentration of microorganisms in the water inside the PMMA organic glass column (2) is also provided on the outer wall of the PMMA organic glass column (2). The storage tank (12) has a built-in partition, which is used to divide the interior of the storage tank (12) into two chambers, the upper chamber storing nutrient solution and the lower chamber storing microorganisms. The storage tank (12) and the PMMA organic glass column (2) are connected by a first filling pipe (13) and a second filling pipe (14) respectively connecting the upper chamber and the lower chamber. A peristaltic pump is installed at one end of the first filling pipe (13) and the second filling pipe (14). The control system includes: The microbial concentration module is connected to the microbial concentration sensor (11) and is used to detect the microbial concentration inside the PMMA organic glass column (2); The data processing module, connected to the microbial concentration module, is used to process the microbial concentration data acquired by the microbial concentration module and preset low concentration thresholds and ultra-low concentration thresholds. The control execution module is connected to the data processing module and the peristaltic pump. When the concentration of microorganisms inside the PMMA organic glass column (2) is lower than the low concentration threshold, the peristaltic pump is controlled to quantitatively inject nutrient solution into the PMMA organic glass column (2). When the concentration of microorganisms inside the PMMA organic glass column (2) is lower than the ultra-low concentration threshold, the peristaltic pump is controlled to quantitatively inject nutrient solution and microbial suspension into the PMMA organic glass column (2). The microbial concentration module, data processing module, and control execution module are all built into the control box (6).

2. The control system of the groundwater pollution remediation simulation device according to claim 1, characterized in that, The water collection tank (4) is equipped with a detachable water outlet pipe (3), the top of which is connected to the interior of the PMMA organic glass column (2) via a stainless steel quick-connect fitting.

3. The control system of the groundwater pollution remediation simulation device according to claim 2, characterized in that, The raw water sample container (8) is equipped with a detachable Viton hose (7), and the end of the Viton hose (7) away from the raw water sample container (8) is connected to the interior of the container via a stainless steel quick-connect fitting at the bottom of the PMMA plexiglass column (2).

4. The control system of the groundwater pollution remediation simulation device according to claim 3, characterized in that, The original water sample container (8) is also equipped with a detachable air tube (10). The end of the air tube (10) away from the original water sample container (8) is connected to an air bag (9) filled with inert gas to maintain the air pressure inside the PMMA organic glass column (2) and reduce the volatilization of organic matter. Several sampling ports (5) are vertically formed on the outer edge of the PMMA organic glass column (2).

5. The control system of the groundwater pollution remediation simulation device according to claim 4, characterized in that, The microbial concentration sensor (11) uses a microfluidic chip to achieve automated bacterial detection. The detection method is as follows: the microfluidic chip is designed with a microchannel network to guide the orderly flow of water samples containing microorganisms within the chip. Multiple reaction regions are set within the microfluidic chip, pre-coated with specific capture probes for specific microorganisms. When the water sample flows through, the microorganisms specifically bind to the capture probes, triggering a biochemical reaction. The fluorescently labeled substrate reacts with the microbial metabolic enzymes to generate a fluorescent signal. The high-sensitivity fluorescence detection module of the microfluidic chip monitors the change in fluorescence signal intensity and converts it into an electrical signal, which is then transmitted to the microbial concentration module. The microbial concentration module, based on the received electrical signal and a pre-set concentration algorithm, captures, enriches, and analyzes the microorganisms within the experimental column to obtain microbial concentration information. The algorithm formula for calculating the microbial concentration is: ,in, Indicates in Microbial concentration at that time The function representing the change of fluorescence signal intensity over time. The function representing the change of water sample flow velocity over time. This represents a function of a coefficient that varies with time and is related to microbial characteristics, reaction kinetics, and the physical parameters of the microfluidic chip. Indicates time.

6. The control system of the groundwater pollution remediation simulation device according to claim 5, characterized in that, The data processing module sets low-concentration and ultra-low-concentration thresholds based on the type and concentration of pollutants being treated, as well as the growth characteristics and metabolic rates of microorganisms. For high-concentration pollutants that are difficult to degrade, microorganisms need to have high activity and quantity to ensure the degradation effect. The low-concentration threshold is determined according to the formula... The calculation shows that the ultra-low concentration threshold is determined by the formula. The calculation shows that, Indicates parameters related to pollutants, Indicates microbial-related parameters, This indicates the relevant parameters of the repair environment; In this process, the steps for determining the low concentration threshold and ultra-low concentration threshold using mathematical modeling and data analysis methods are as follows: Collect past groundwater pollution remediation experimental data, including data on different types of pollutants, different microbial species, and their remediation effects under different environmental conditions, and organize this data into a dataset. ,in, It is the first Pollutant parameters of the group experiment, It is the first Microbial parameters of the group experiment, It is the first Environmental parameters of the group experiment, It is the first Microbial concentration in the group experiment It is the first Indicators of repair efficacy in the group experiments; Construct a mathematical model and define the repair effect. With pollutant parameters Microbial parameters Environmental parameters and microbial concentration The functional relationship between them is To find this functional relationship, multiple regression analysis is used for modeling. Let the function be... ,in, , , , , These are the coefficients to be estimated, obtained by analyzing the dataset. The fitting calculation yielded the following results: This is the error term.

7. The control system of the groundwater pollution remediation simulation device according to claim 6, characterized in that, Based on the established model, combined with specific pollutant parameters Microbial parameters and environmental parameters and the desired repair effect. By solving the equation To determine the appropriate microbial concentration threshold; For low concentration threshold Set a high expected repair effect indicator By solving the equation get ,Right now: ， ； For ultra-low concentration threshold Set an extremely high expected repair effect index By solving the equation get ,Right now: ， 。 8. The control system of the groundwater pollution remediation simulation device according to claim 7, characterized in that, In the control execution module, the volume of the PMMA organic glass column (2) is set to... Furthermore, when the microbial concentration is below the low concentration threshold, the volume of nutrient solution replenished each time is determined according to the formula. Calculate, where, This indicates the current microbial concentration, that is, the concentration of microorganisms detected that are below the low concentration threshold. This indicates the composition and proportion parameters of the nutrient solution; The initial concentration of microorganisms in the microbial suspension is determined by the formula. Calculate and replenish the nutrient solution volume according to the formula. calculate.

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