Underground water pollution remediation simulation device and control system

Abstract

The invention discloses a groundwater pollution remediation simulation device and a control system, relates to the technical field of groundwater pollution remediation, and aims to overcome the defects of a traditional simulation experiment device in the aspects of microorganism concentration detection and supplementation. The device comprises a test bed, the top of the test bed is provided with a detachable PMMA organic glass column, a raw water sample barrel and an effluent collecting barrel are respectively arranged on two sides of the test bed, 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 stainless steel quick-screwing connectors which are detachably installed, the inner wall of the PMMA organic glass column is provided with a sensor used for detecting the concentration of microorganisms in the column, the outer wall of the PMMA organic glass column is provided with a control box connected with the sensor, and the control box is used for adjusting the concentration of the microorganisms in water in the column. The system can automatically identify and manage the concentration of microorganisms, and has high control and regulation efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of groundwater pollution remediation, and more particularly to a groundwater pollution remediation simulation device and a control system. Background Art

[0002] As one of the core issues in the current field of environmental protection, groundwater pollution remediation has attracted widespread attention in recent years. With the acceleration of industrialization, the pollution problems faced by groundwater resources are becoming increasingly severe, especially the treatment of certain difficult-to-degrade organic matter. Permeable Reactive Barrier (PRB), as an innovative groundwater remediation technology, has been widely used in the treatment of groundwater pollution. When conducting PRB laboratory simulations, traditional simulation experimental columns are often limited in the remediation of such pollutants. In order to effectively improve the remediation efficiency, bioaugmentation technology has emerged and has become one of the important means in groundwater pollution control. By introducing specific microorganisms or biological materials into groundwater, bioaugmentation technology can significantly enhance the degradation ability of pollutants, especially when treating difficult-to-degrade organic matter such as benzene and toluene, it can achieve more efficient removal effects.

[0003] However, in existing traditional simulation test columns, the ongoing 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 microbial concentration monitoring is required, and replenishment is required when the concentration falls below a certain value. However, this operation not only requires a lot of time and effort, but also has significant human error, which can easily affect the reliability of experimental results and remediation efficiency.

[0004] To address this issue, we have proposed a new groundwater remediation simulation device and control system. This system is designed to monitor changes in microbial concentration in real time through automated means during the experiment and automatically replenish microorganisms when the concentration drops below a set threshold. This innovative design effectively eliminates the errors and inconveniences associated with manual operation in traditional methods, improving the accuracy and efficiency of experimental operations while providing more stable and reliable experimental conditions for groundwater remediation. This control system allows for effective management of microbial concentrations during the experiment, thereby enhancing the effectiveness and efficiency of groundwater remediation. Summary of the Invention

[0005] The purpose of the present invention is to provide a groundwater pollution remediation simulation device and control system to solve the technical problem that traditional simulation experiment columns are inconvenient to detect microbial concentrations and replenish them in a timely manner.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: a groundwater pollution remediation simulation device, comprising a test bench with a detachable PMMA organic glass column on the top, a raw water sample bucket and a water collection bucket arranged on both sides of the test bench, and a storage tank arranged on one side of the PMMA organic glass column;

[0007] The top and bottom ends of the PMMA organic glass column are both installed with detachable stainless steel quick-tight joints, and a microbial concentration sensor for detecting the microbial concentration inside the PMMA organic glass column is arranged on the inner wall of the PMMA organic glass column. The outer wall of the PMMA organic glass column is also provided with a control box connected to the microbial concentration sensor and used to regulate the microbial concentration of the water body in the PMMA organic glass column.

[0008] Preferably, the storage tank is equipped with a partition, which is used to separate the interior of the storage tank into two upper and lower chambers. The upper chamber stores nutrient solution and the lower chamber stores microorganisms. Filling pipe 1 and filling pipe 2, which respectively connect the upper chamber and the lower chamber, are connected between the storage tank and the PMMA organic glass column. Peristaltic pumps are installed at one end of each of the filling pipes 1 and 2.

[0009] Preferably, a detachable water outlet pipe is provided inside the water collection barrel, and the top end of the water outlet pipe is connected to the interior of the PMMA organic glass column through a stainless steel quick-tightening joint at the top of the PMMA organic glass column.

[0010] Preferably, a detachable Viton hose is provided inside the raw water sample barrel, and one end of the Viton hose away from the raw water sample barrel is connected to the interior of the PMMA organic glass column through a stainless steel quick-twist connector at the bottom of the PMMA organic glass column.

[0011] Preferably, a detachable air pipe is further provided inside the raw water sample barrel, and the end of the air pipe away from the raw water sample barrel is connected to an air bag filled with inert gas and used to maintain the air pressure inside the PMMA organic glass column stable and reduce the volatilization of organic matter.

[0012] Preferably, a plurality of sampling ports are vertically formed on the outer edge surface of the PMMA organic glass column.

[0013] A control system for a groundwater pollution remediation simulation device, comprising:

[0014] A microbial concentration module is connected to the microbial concentration sensor and is used to detect the microbial concentration inside the PMMA organic glass column;

[0015] The data processing module is connected to the microbial concentration module, and is used to process the microbial concentration data obtained by the microbial concentration module and preset a low concentration threshold and an ultra-low concentration threshold;

[0016] The control execution module is connected to the data processing module and the peristaltic pump. When the microbial concentration inside the PMMA organic glass column is lower than the low concentration threshold, the peristaltic pump is controlled to quantitatively inject nutrient solution into the PMMA organic glass column. When the microbial concentration inside the PMMA organic 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 organic glass column. The microbial concentration module, the data processing module and the control execution module are all built into the control box.

[0017] Preferably, the microbial concentration sensor uses a microfluidic chip to realize automated detection of bacteria. The detection method is as follows: a microchannel network is designed inside the microfluidic chip to guide the water sample containing microorganisms to flow in an orderly manner in the chip, and a plurality of reaction areas are provided in the microfluidic chip, which are pre-coated with specific capture probes for specific microorganisms. When the water sample flows through, the microorganisms specifically bind to the capture probes, and the binding of the microorganisms and the capture probes triggers a biochemical reaction. The fluorescent labeled substrate reacts with the microbial metabolic enzyme to produce a fluorescent signal. The high-sensitivity fluorescence detection module of the microfluidic chip monitors the change in the intensity of the fluorescent signal and converts it into an electrical signal and transmits it to the microbial concentration module. The microbial concentration module captures, enriches and performs reaction analysis on the microorganisms in the experimental column according to the received electrical signal combined with a pre-set concentration algorithm to obtain microbial concentration information. The algorithm formula for calculating the microbial concentration is: Where C represents the microbial concentration at time t, S(t) represents the function of the fluorescence signal intensity changing with time, V(t) represents the function of the water sample flow rate changing with time, k(t) represents a coefficient related to the microbial characteristics, reaction kinetics and physical parameters of the microfluidic chip changing with time, and t represents time.

[0018] Preferably, the data processing module sets the low concentration threshold and the ultra-low concentration threshold according to the type and concentration of the pollutants to be processed and the growth characteristics and metabolic rate of the microorganisms. For high-concentration pollutants that are difficult to degrade, the microorganisms need to have higher activity and quantity to ensure the degradation effect. The low concentration threshold is determined according to the formula T low =g(P,M,R), the ultra-low concentration threshold is calculated according to the formula T ultra-low =h(P,M,R), where P represents pollutant-related parameters, M represents microbial-related parameters, and R represents remediation environment-related parameters;

[0019] 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:

[0020] Collect past groundwater pollution remediation experimental data, including different types of pollutants, different microbial species and their remediation effect data under different environmental conditions, and organize these data into a data set D = {(Pi ,M i ,R i ,C i ,E i )|i=1,2,…,n}, where P i is the pollutant parameter of the i-th group experiment, M i is the microbial parameter of the i-th group experiment, R i is the environmental parameter of the i-th group experiment, C i is the microbial concentration of the i-th group experiment, E i is the repair effect index of the i-th group of experiments;

[0021] Construct a mathematical model, and assume that the functional relationship between the remediation effect E and the pollutant parameter P, microbial parameter M, environmental parameter R, and microbial concentration C is E = F(P, M, R, C). In order to find this functional relationship, multiple regression analysis is used for modeling, and the function E = a0+a1P+a2M+a3R+a4C+∈,, where a0, a1, a2, a3, a4 are estimated coefficients obtained by fitting the data set D, and ∈ is the error term.

[0022] Preferably, according to the established model, combined with the specific pollutant parameter P current , microbial parameters M current and environmental parameters R current , and the expected repair effect E current , by solving equation E current =F(P current ,M current ,R current ,C) to determine the appropriate microbial concentration threshold;

[0023] For the low concentration threshold T low , set a high expected repair effect index E low , by solving equation E low =

[0024] F(P current ,M current ,R current ,C) get T low ,Right now:

[0025] E low =a0+a1P current +a2M current +a3R current +a4T low +∈,

[0026]

[0027] For ultra-low concentration threshold, Tultra-low , set a super high expected repair effect index E low , by solving equation E ultra-low =F(P current ,M current ,R current ,C) get T ultra-low ,Right now:

[0028] E ultra-low =a0+a1P current +a2M current +a3R current +a4T ultra-low +∈,

[0029]

[0030] Preferably, in the control execution module, the volume of the PMMA organic glass column is V column When the microbial concentration is lower than the low concentration threshold, the volume of nutrient solution added each time is calculated according to the formula V nutrient =j(C current ,V column ,N) calculation, where C current represents the current microbial concentration, that is, the detected microbial concentration below the low concentration threshold, and N represents the nutrient solution composition and ratio parameters;

[0031] The initial concentration of microorganisms in the microbial suspension is calculated according to the formula C suspension =q(S) calculation, while adding nutrient solution volume according to formula V nutrient-ultra =r(C current ,V column ,S,N) calculation.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] The present invention designs a microbial concentration sensor, which can detect the microbial concentration in the water inside the PMMA organic glass column with the help of the microbial concentration sensor, and sends concentration information to the data processing module with the help of a microbial concentration module. The data processing module compares the concentration information with a preset low concentration threshold and an ultra-low concentration threshold, thereby sending an instruction to replenish nutrient solution or microbial suspension to the control execution module. The control execution module controls the peristaltic pump to execute the corresponding instruction, which can automatically identify and manage the microbial concentration, reduce the complexity and error of manual operation, improve the accuracy and reliability of the experiment, and solve the problem that traditional simulation experiment columns are inconvenient to detect microbial concentration and replenish. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a structural schematic diagram of the present invention;

[0035] Figure 2 Schematic diagram of the system framework of the present invention.

[0036] Description of the numbers in the figure:

[0037] 1. Test bench; 2. PMMA organic glass column; 3. Water outlet pipe; 4. Water collection bucket; 5. Sampling port; 6. Control box; 7. Viton hose; 8. Raw water sample bucket; 9. Air bag; 10. Air pipe; 11. Microbial concentration sensor; 12. Storage tank; 13. Filling pipe 1; 14. Filling pipe 2. DETAILED DESCRIPTION

[0038] Example 1: Figure 1 As shown, the present invention relates to a groundwater pollution remediation simulation device, comprising a test bench 1 with a detachable PMMA organic glass column 2 on the top, a raw water sample bucket 8 and a water collection bucket 4 arranged on both sides of the test bench 1, and a storage tank 12 arranged on one side of the PMMA organic glass column 2;

[0039] The top and bottom ends of the PMMA organic glass column 2 are both equipped with detachable stainless steel quick-tightening joints, and a microbial concentration sensor 11 for detecting the microbial concentration inside the PMMA organic glass column 2 is arranged on the inner wall of the PMMA organic glass column 2. The outer wall of the PMMA organic glass column 2 is also provided with a control box 6 connected to the microbial concentration sensor 11 and used to regulate the microbial concentration of the water body in the PMMA organic glass column 2.

[0040] In an embodiment of the present invention, the storage tank 12 is equipped with a partition, which is used to separate the interior of the storage tank 12 into two upper and lower chambers. The upper chamber stores nutrient solution, and the lower chamber stores microorganisms. The storage tank 12 and the PMMA organic glass column 2 are connected by a filling pipe 13 and a filling pipe 2 14 that connect the upper chamber and the lower chamber respectively. A peristaltic pump is installed at one end of each of the filling pipe 13 and the filling pipe 2 14.

[0041] In an embodiment of the present invention, a detachable water outlet pipe 3 is provided inside the water outlet collection barrel 4, and the top end of the water outlet pipe 3 is connected to the interior of the PMMA organic glass column 2 from the stainless steel quick-tighten joint at the top. A detachable viton hose 7 is provided inside the raw water sample barrel 8, and the end of the viton hose 7 away from the raw water sample barrel 8 is connected to the interior of the PMMA organic glass column 2 from the stainless steel quick-tighten joint at the bottom.

[0042] In an embodiment of the present invention, a detachable air pipe 10 is further provided inside the raw water sample barrel 8. The end of the air pipe 10 away from the raw water sample barrel 8 is connected to an air bag 9 filled with inert gas and used to maintain the air pressure stability in the PMMA organic glass column 2 and reduce the volatilization of organic matter. A plurality of sampling ports 5 are vertically formed on the outer edge surface of the PMMA organic glass column 2, and the plurality of sampling ports 5 are arranged at a certain distance.

[0043] Example 2: Figure 2 As shown, a control system of a groundwater pollution remediation simulation device includes:

[0044] The microorganism concentration module is connected to the microorganism concentration sensor 11 and is used to detect the microorganism concentration inside the PMMA organic glass column 2;

[0045] The microbial concentration sensor 11 uses microfluidic chip technology to achieve automated detection of bacteria. The microorganisms in the experimental column are captured, enriched, and analyzed through the microchannels and reaction areas within the microfluidic chip to obtain microbial concentration information.

[0046] The data processing module is connected to the microbial concentration module, and is used to process the microbial concentration data obtained by the microbial concentration module and preset a low concentration threshold and an ultra-low concentration threshold;

[0047] The control execution module is connected to the data processing module and the peristaltic pump. When the microbial concentration 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 microbial concentration 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.

[0048] When the microbial concentration inside the PMMA organic glass column 2 is lower than the low concentration threshold, the growth and reproduction of the microorganisms inside the PMMA organic glass column 2 can be promoted by quantitatively supplementing the nutrient solution;

[0049] When the microbial concentration inside the PMMA organic glass column 2 is lower than the ultra-low concentration threshold, the nutrient solution and the microbial suspension are quantitatively injected into the PMMA organic glass column 2. At the same time, when the microbial concentration inside the PMMA organic glass column 2 is lower than the ultra-low concentration threshold, it will inevitably be lower than the low concentration threshold. At the same time, the nutrient solution is quantitatively supplemented to promote the growth and reproduction of microorganisms in the added microbial suspension.

[0050] The microbial concentration sensor 11 uses a microfluidic chip to realize the automatic detection of bacteria. The detection method is:

[0051] The microfluidic chip is designed with a microchannel network to guide the orderly flow of water samples containing microorganisms in the chip. The microfluidic chip is also equipped with multiple reaction areas, which are pre-coated with specific capture probes for specific microorganisms. When the water sample flows through, the microorganisms specifically bind to the capture probes, which trigger a biochemical reaction. The fluorescent-labeled substrate reacts with the microbial metabolic enzyme to produce a fluorescent signal. The high-sensitivity fluorescence detection module of the microfluidic chip monitors the change in the intensity of the fluorescent signal and converts it into an electrical signal to be transmitted to the microbial concentration module. The microbial concentration module captures, enriches and analyzes the microorganisms in the experimental column based on the received electrical signal and a pre-set concentration algorithm to obtain microbial concentration information. The algorithm formula for calculating the microbial concentration is as follows: Among them, C represents the microbial concentration at time t, S(t) represents the function of the fluorescence signal intensity changing with time, V(t) represents the function of the water sample flow rate changing with time, k(t) represents a coefficient related to the microbial characteristics, reaction kinetics and physical parameters of the microfluidic chip changing with time. This coefficient comprehensively considers the characteristics of the microorganisms themselves, such as the metabolic rate of different microbial species, affinity for the substrate, etc., reaction kinetic factors such as the rate constant of the biochemical reaction, etc., and the physical parameters of the microfluidic chip such as the size and surface properties of the microchannel, etc., and these factors may change with time. t represents time.

[0052] In the embodiment of the present invention, the data processing module sets the low concentration threshold and the ultra-low concentration threshold according to the type and concentration of the pollutants to be processed and the growth characteristics and metabolic rate of the microorganisms. For high-concentration pollutants that are difficult to degrade, the microorganisms need to have higher activity and quantity to ensure the degradation effect. The low concentration threshold is determined according to the formula T low =g(P,M,R), the ultra-low concentration threshold is calculated according to the formula T ultra-low =h(P,M,R), where P represents pollutant-related parameters, including the type of pollutants such as organic pollutants, heavy metal pollutants, etc., the concentration of pollutants, and the chemical structure characteristics of pollutants such as molecular weight and functional groups. These parameters will affect the difficulty and degradation rate of microorganisms to degrade pollutants. M represents microbial-related parameters, covering the type of microorganisms such as bacteria, fungi, etc., the physiological characteristics of microorganisms such as growth rate, metabolic pathways, enzyme systems, etc., and the initial inoculum size of microorganisms. Different microorganisms have different treatment capabilities when facing the same pollutants. R represents parameters related to the remediation environment, involving the physical and chemical properties of groundwater such as temperature, pH value, dissolved oxygen content, salinity, water flow rate, etc. Environmental factors will have a significant impact on the activity of microorganisms and the availability of pollutants.

[0053] 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:

[0054] Collect past groundwater pollution remediation experimental data, including different types of pollutants, different microbial species and their remediation effect data under different environmental conditions, and organize these data into a data set D = {(P i ,M i ,R i ,C i ,E i )|i=1,2,…,n}, where P i is the pollutant parameter of the i-th group experiment, M i is the microbial parameter of the i-th group experiment, R i is the environmental parameter of the i-th group experiment, C i is the microbial concentration of the i-th group experiment, E i is the repair effect index of the i-th group of experiments;

[0055] Construct a mathematical model, and assume that the functional relationship between the remediation effect E and the pollutant parameter P, microbial parameter M, environmental parameter R, and microbial concentration C is E=F(P,M,R,C). In order to find this functional relationship, multiple regression analysis is used for modeling, and the function E=a0+a1P+a2M+a3R+a4C+∈,, where a0, a1, a2, a3, and a4 are estimated coefficients obtained by fitting the data set D. They reflect the degree of influence of each parameter on the remediation effect. Different coefficient sizes and positive and negative signs represent the contribution and influence direction of different parameters on the remediation effect, and ∈ is the error term.

[0056] In the embodiment of the present invention, according to the established model, combined with the specific pollutant parameter P current , microbial parameters M current and environmental parameters R current , and the expected repair effect E current , by solving equation E current =

[0057] F(P current ,M current ,R current ,C) to determine the appropriate microbial concentration threshold;

[0058] For the low concentration threshold T low , set a high expected repair effect index E low , by solving equation E low =

[0059] F(P current ,M current ,R current ,C) get T low ,Right now:

[0060] Elow =a0+a1P current +a2M current +a3R current +a4T low +∈,

[0061]

[0062] For ultra-low concentration threshold, T ultra-low , set a super high expected repair effect index E low , by solving equation E ultra-low =F(P current ,M current ,R current ,C) get T ultra-low ,Right now:

[0063] E ultra-low =a0+a1P current +a2M current +a3R current +a4T ultra-low +∈,

[0064]

[0065] In the embodiment of the present invention, in the control execution module, the volume of the PMMA organic glass column 2 is V column When the microbial concentration is lower than the low concentration threshold, the volume of nutrient solution added each time is calculated according to the formula V nutrient =j(C current ,V column ,N) calculation, where C current represents the current microbial concentration, that is, the detected microbial concentration below the low concentration threshold, and N represents the nutrient solution composition and ratio parameters;

[0066] The initial concentration of microorganisms in the microbial suspension is calculated according to the formula C suspension =q(S) calculation, while adding nutrient solution volume according to formula V nutrient-ultra =r(C current ,V column ,S,N) calculations are performed to ensure that newly added microorganisms grow and reproduce in a suitable nutritional environment, thereby increasing the overall concentration and activity of microorganisms in the column. The quantitative supplement ratio and volume can be optimized and adjusted based on different experimental conditions and microbial species through preliminary experiments and data analysis.

[0067] Working principle: This embodiment provides a groundwater pollution remediation simulation device and control system. When in use, the ends of the viton hose 7 and the outlet pipe 3 connected to the stainless steel quick-tighten joint are both installed with a peristaltic pump. The peristaltic pump is used to extract the underground contaminated water in the raw water sample barrel 8, so that the underground contaminated water enters the PMMA organic glass column 2, and the pollutants are degraded by the action of microorganisms in the PMMA organic glass column 2. During the purification process, the microbial concentration in the PMMA organic glass column 2 is detected by the microbial concentration sensor 11, and the concentration information is sent to the data processing module through the microbial concentration module. The data processing module analyzes the microbial concentration in the PMMA organic glass column 2. When the microbial concentration is lower than the low concentration threshold, the peristaltic pump controls the nutrient solution in the storage tank 12 to flow through the filling pipe 13 into the PMMA organic glass column 2, thereby promoting microbial reproduction. When the microbial concentration is lower than the ultra-low concentration threshold, the peristaltic pump controls the microbial suspension in the storage tank 12 to flow through the filling pipe 2 14 into the PMMA organic glass column 2, thereby realizing the addition of microorganisms to ensure that the underground contaminated water can be fully purified.

[0068] The embodiments disclosed in the present invention are preferred embodiments, but are not limited to them. Ordinary technicians in this field can easily understand the spirit of the present invention based on the above embodiments and make different extensions and changes. As long as they do not deviate from the spirit of the present invention, they are all within the scope of protection of the present invention.

Claims

1. A groundwater pollution remediation simulation device, characterized in that: The test bench (1) comprises a detachable PMMA organic glass column (2) on the top, a raw water sample bucket (8) and an effluent collection bucket (4) arranged on both sides of the test bench (1), and a storage tank (12) arranged on one side of the PMMA organic glass column (2); The top and bottom ends of the PMMA organic glass column (2) are both equipped with detachable stainless steel quick-tightening joints, and a microbial concentration sensor (11) for detecting the microbial concentration inside the PMMA organic glass column (2) is arranged on the inner wall of the PMMA organic glass column (2), and a control box (6) connected to the microbial concentration sensor (11) and used to regulate the microbial concentration of water in the PMMA organic glass column (2) is also arranged on the outer wall of the PMMA organic glass column (2).

2. A groundwater pollution remediation simulation device according to claim 1, characterized in that: The storage tank (12) is provided with a partition plate, which is used to separate the interior of the storage tank (12) into two upper and lower chambers. The upper chamber stores nutrient solution, and the lower chamber stores microorganisms. A filling pipe 1 (13) and a filling pipe 2 (14) are connected between the storage tank (12) and the PMMA organic glass column (2), which are connected to the upper chamber and the lower chamber respectively. One end of each of the filling pipe 1 (13) and the filling pipe 2 (14) is equipped with a peristaltic pump.

3. A groundwater pollution remediation simulation device according to claim 2, characterized in that: A detachable water outlet pipe (3) is provided inside the water outlet collection barrel (4), and the top end of the water outlet pipe (3) is connected to the interior of the PMMA organic glass column (2) through a stainless steel quick-tightening joint at the top of the PMMA organic glass column (2).

4. A groundwater pollution remediation simulation device according to claim 3, characterized in that: A detachable Viton hose (7) is provided inside the raw water sample barrel (8), and one end of the Viton hose (7) away from the raw water sample barrel (8) is connected to the interior of the PMMA organic glass column (2) through a stainless steel quick-tightening joint at the bottom thereof.

5. A groundwater pollution remediation simulation device according to claim 4, characterized in that: The raw water sample barrel (8) is further provided with a detachable air pipe (10), and one end of the air pipe (10) away from the raw water sample barrel (8) is connected to an air bag (9) filled with inert gas and used to maintain the air pressure in the PMMA organic glass column (2) stable and reduce the volatilization of organic matter. A plurality of sampling ports (5) are vertically formed on the outer edge surface of the PMMA organic glass column (2).

6. A control system applied to the groundwater pollution remediation simulation device according to claim 5, characterized in that: include: A microorganism concentration module is connected to the microorganism concentration sensor (11) and is used to detect the microorganism concentration inside the PMMA organic glass column (2); The data processing module is connected to the microbial concentration module, and is used to process the microbial concentration data obtained by the microbial concentration module and preset a low concentration threshold and an ultra-low concentration threshold; A control execution module is connected to the data processing module and the peristaltic pump, and controls the peristaltic pump to quantitatively inject nutrient solution into the PMMA organic glass column (2) when the microorganism concentration inside the PMMA organic glass column (2) is lower than a low concentration threshold, and controls the peristaltic pump to quantitatively inject nutrient solution and microbial suspension into the PMMA organic glass column (2) when the microorganism concentration inside the PMMA organic glass column (2) is lower than an ultra-low concentration threshold; The microorganism concentration module, data processing module and control execution module are all built into the control box (6).

7. The control system of a groundwater pollution remediation simulation device according to claim 6, characterized in that: The microbial concentration sensor (11) uses a microfluidic chip to realize the automatic detection of bacteria. The detection method is as follows: a microchannel network is designed inside the microfluidic chip to guide the water sample containing microorganisms to flow in an orderly manner in the chip, and a plurality of reaction areas are set in the microfluidic chip, which are pre-coated with specific capture probes for specific microorganisms. When the water sample flows through, the microorganisms specifically bind to the capture probes, and the combination of the microorganisms and the capture probes triggers a biochemical reaction. The fluorescent labeled substrate reacts with the microbial metabolic enzyme to generate a fluorescent signal. The high-sensitivity fluorescence detection module of the microfluidic chip monitors the change in the intensity of the fluorescent signal and converts it into an electrical signal and transmits it to the microbial concentration module. The microbial concentration module captures, enriches and performs reaction analysis on the microorganisms in the experimental column according to the received electrical signal combined with a pre-set concentration algorithm to obtain microbial concentration information. The algorithm formula for calculating the microbial concentration is: Where C represents the microbial concentration at time t, S(t) represents the function of the fluorescence signal intensity changing with time, V(t) represents the function of the water sample flow rate changing with time, k(t) represents a coefficient related to the microbial characteristics, reaction kinetics and physical parameters of the microfluidic chip changing with time, and t represents time.

8. The control system of the groundwater pollution remediation simulation device according to claim 7 is characterized in that: The data processing module sets the low concentration threshold and ultra-low concentration threshold according to the type and concentration of the pollutants being processed and the growth characteristics and metabolic rate of the microorganisms. For high-concentration pollutants that are difficult to degrade, the microorganisms need to have higher activity and quantity to ensure the degradation effect. The low concentration threshold is determined according to the formula T low =g(P,M,R), the ultra-low concentration threshold is calculated according to the formula T ultra-low =h(P,M,R), where P represents pollutant-related parameters, M represents microbial-related parameters, and R represents remediation environment-related parameters; 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 different types of pollutants, different microbial species and their remediation effect data under different environmental conditions, and organize these data into a data set D = {(P i ,M i ,R i ,C i ,E i )|i=1,2,…,n}, where P i is the pollutant parameter of the i-th group experiment, M i is the microbial parameter of the i-th group experiment, R i is the environmental parameter of the i-th group experiment, C i is the microbial concentration of the i-th group experiment, E i is the repair effect index of the i-th group of experiments; Construct a mathematical model, and assume that the functional relationship between the remediation effect E and the pollutant parameter P, microbial parameter M, environmental parameter R and microbial concentration C is E=F(P,M,R,C). In order to find this functional relationship, multiple regression analysis is used for modeling, and the function E=a0+a1P+a2M+a3R+a4C+∈,, where a0, a1, a2, a3, a4 are estimated coefficients obtained by fitting the data set D, and ∈ is the error term.

9. The control system of the groundwater pollution remediation simulation device according to claim 8, characterized in that: According to the established model, combined with the specific pollutant parameters P current , microbial parameters M current and environmental parameters R current , and the expected repair effect E current , by solving equation E current =F(P current ,M current ,R current ,C) to determine the appropriate microbial concentration threshold; For the low concentration threshold T low , set a high expected repair effect index E low , by solving equation E low =F(P current ,M current ,R current ,C) get T low ,Right now: It is low =a0+a1P current +a2M current +a3R current +a4T low +∈, For ultra-low concentration threshold, T ultra-low , set a super high expected repair effect index E low , by solving equation E ultra-low =F(P current ,M current ,R current ,C) get T ultra-low ,Right now: It is ultra-low =a0+a1P current +a2M current +a3R current +a4T ultra-low +∈, 10. The control system of the groundwater pollution remediation simulation device according to claim 9, characterized in that: In the control execution module, the volume of the PMMA organic glass column (2) is V column When the microbial concentration is lower than the low concentration threshold, the volume of nutrient solution added each time is calculated according to the formula V nutrient =j(C current ,V column ,N) calculation, where C current represents the current microbial concentration, that is, the detected microbial concentration below the low concentration threshold, and N represents the nutrient solution composition and ratio parameters; The initial concentration of microorganisms in the microbial suspension is calculated according to the formula C suspension =q(S) calculation, while adding nutrient solution volume according to formula V nutrient-ultra =r(C current ,V column ,S,N) calculation.

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