In-situ gas injection microorganism enhanced organic matter repairing method and equipment based on free module combination

Abstract

The invention discloses an in-situ gas injection microorganism enhanced organic matter remediation method and equipment based on free module combination, and the equipment comprises an intelligent parameter selection module which is used for integrating a historical remediation case database, and constructing a pollutant concentration prediction model through an XGBoost algorithm; the microorganism injection module integration comprises a microorganism preparation tank, a pneumatic diaphragm pump, a pH detector, a temperature sensor, a DO / ORP instrument and a pH adjusting device; the air injection module is integrated with integrated equipment of an air compressor, a freezing dryer and an air storage tank; an electromagnetic flowmeter, a pressure transmitter and a UPVC (Unplasticized Polyvinyl Chloride) pipe valve are integrated in the injection header pipe; an electromagnetic flowmeter, a pressure transmitter, an electric ball valve and a UPVC (Unplasticized Polyvinyl Chloride) pipe valve are integrally arranged on the injection well pipeline; the multi-parameter collaborative optimization control unit is used for collecting ORP, DO, pollutant concentration attenuation rate, temperature and flora activity indexes in real time, and dynamically adjusting the gas injection amount, the bacterium liquid adding rate and the nutrient solution proportion by taking the remediation efficiency / cost as a reward function; according to the invention, the pollutant removal condition is comprehensively investigated.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of pollution remediation, in particular to an in-situ air injection microbial enhanced organic remediation method and equipment based on modular free combination. BACKGROUND

[0002] Contaminated site remediation technology includes in-situ remediation and ex-situ remediation. Ex-situ remediation requires moving the contaminated medium, and the pollutants are treated by physical, chemical, biological or thermal methods, which is more suitable for sites with small area, serious pollution and urgent need for rapid remediation. The high treatment cost and site destruction limit the development of ex-situ remediation technology. In-situ remediation technology is a treatment method that directly remediates the original contaminated site, which has better applicability to contaminated sites such as enterprises that need to continue production, construction land and farmland.

[0003] In addition, in the design of the equipment, the existing in-situ remediation equipment is often integrated, which is inevitably too fixed in actual process treatment and engineering application, and cannot increase or decrease the process flow according to the actual conditions of the contaminated site, which shows poor adaptability and increases the operation cost. The main problems are: equipment parts redundancy or deficiency; poor dynamic adjustment capability; insufficient consideration of water-soil synergistic effect; difficult fault diagnosis and repair. SUMMARY

[0004] The purpose of the present application is to provide an in-situ air injection microbial enhanced organic remediation method and equipment based on modular free combination, to solve the problems of poor dynamic adjustment capability and insufficient consideration of water-soil synergistic effect.

[0005] Technical scheme: The in-situ air injection microbial enhanced organic remediation equipment based on modular free combination, which is designed in a modular manner, is independent between each module, and is freely combined according to actual needs, including: an intelligent parameter selection module for integrating a historical remediation case database, extracting 11-dimensional features of pollutant types, concentration distribution, soil physical and chemical properties, groundwater physical and chemical properties, and remediation targets, and constructing a pollutant concentration prediction model through an XGBoost algorithm; a microbial injection module integrated with a microbial configuration tank, an air-driven diaphragm pump, a pH detector, a temperature sensor, a DO / ORP instrument and a pH adjusting device; an air injection module integrated with an integrated equipment of an air compressor, a cold dryer and a gas storage tank; an injection main pipe integrated with an electromagnetic flowmeter, a pressure transmitter and UPVC pipe valves; an injection well pipeline integrated with an electromagnetic flowmeter, a pressure transmitter, an electric ball valve and UPVC pipe valves; and a multi-parameter synergistic optimization control unit for real-time acquisition of ORP, DO, pollutant concentration decay rate, temperature and microbial activity index, with remediation efficiency / cost as a reward function to dynamically adjust air injection amount, microbial liquid addition rate and nutrient liquid proportion.

[0006] Further, the microbial injection module further comprises: a magnetic reed liquid level meter for triggering injection pump shutdown protection when the liquid level is below a threshold; a pH adjusting device interlocked with a pH detector for real-time control of pH within a reasonable range.

[0007] Further, the working process of the multi-parameter collaborative optimization control unit is as follows: the injection amount and the bacteria liquid feeding rate are updated every 10-15 minutes based on the sensor data stream; when the pollutant concentration exceeds the threshold or the parameter adjustment fails, an audible and light alarm and remote notification are triggered; the adjustment strategy effectiveness is evaluated in real time according to the pollutant concentration trend, and the input and output quantities of each module are adjusted.

[0008] Further, the adjustment strategy is as follows: the pollutant concentration is monitored in real time and compared with the pollutant concentration trend, and the input and output quantities of each module are adjusted based on the real-time sensor data stream.

[0009] Further, the intelligent parameter selection module is as follows: data extraction: 11-dimensional features including pollutant type, exceeding pollutant type, pollution concentration distribution, initial pollutant concentration, bacteria agent feeding speed, injection amount, mid-term pollutant treatment concentration and effect, final pollutant treatment concentration and effect, soil physical and chemical properties, groundwater physical and chemical properties, and remediation target are extracted to characterize the change state of bacteria agent amount, injection amount, and pollutant concentration in each in-situ remediation process; key variables of pollutant concentration change in in-situ remediation are selected by fusing data; the mid-term pollutant treatment concentration and effect, the final pollutant treatment concentration and effect, the bacteria agent feeding speed, and the injection amount are used as labels for model training; a pollutant concentration trend is obtained by using an XGBoost algorithm to construct a pollutant concentration prediction model according to the key variables and the labels; the key variables include: exceeding pollutant type, initial pollutant concentration, bacteria agent feeding speed, injection amount, final pollutant treatment concentration and effect.

[0010] Further, the model training parameters include learning rate, maximum leaf node depth, and regularization term coefficient, all of which use the default values of the XGBoost algorithm.

[0011] The in-situ air injection microbial enhanced organic matter remediation method based on module free combination provided by the application comprises the following steps: (1) Surveying the pollution site data, inputting the intelligent parameter selection module to generate initial remediation parameters; (2) Setting the number of microbial injection modules and air injection modules according to the pollution range; (3) Starting the multi-parameter collaborative optimization control unit, monitoring the pollutant concentration gradient change at the water-soil interface in real time, dynamically adjusting the input and output quantities of each module, and adjusting the nutrient solution based on the bacterial activity index; (4) When the pollutant concentration decay rate is lower than the preset value, triggering model retraining and updating the control parameters.

[0012] An electronic device according to the present invention includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any one of the methods when executing the program.

[0013] A computer-readable storage medium according to the present invention stores a computer program, and when the program is executed by a processor, the steps of any one of the methods are implemented.

[0014] Beneficial Effects: Compared with existing technologies, this invention offers the following significant advantages: A modular design provides strong engineering applicability: Each unit is relatively independent, allowing for the selection of the appropriate unit in practice, improving treatment efficiency while also adapting to specific engineering requirements. The system is equipped with aeration equipment, overcoming limitations on soil oxygen mass transfer. Real-time monitoring and feedback of various parameters allows for optimized adjustment of gas and bacterial injection volumes based on pollutant concentrations, improving input efficiency. Sampling and monitoring devices are installed in both groundwater and soil, allowing for a comprehensive prediction model based on both groundwater and soil, enabling comprehensive assessment of pollutant removal performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0016] The technical solution of the present invention will be further described below with reference to the accompanying drawings.

[0017] like Figure 1 As shown, an embodiment of the present invention provides an in-situ gas injection microbial enhanced organic matter remediation equipment based on free combination of modules. The equipment is modular in design, and each module is independent of each other and can be freely combined according to actual needs, including: an intelligent parameter selection module for integrating a historical remediation case database, extracting 11-dimensional features including pollutant type, concentration distribution, soil physical and chemical properties, groundwater physical and chemical properties, and remediation targets, and constructing a pollutant concentration prediction model through the XGBoost algorithm; a microbial injection module integrating a microbial configuration tank, a pneumatic diaphragm pump, a pH detector, a temperature sensor, a DO / ORP meter, and a pH adjustment device; an gas injection module integrating an integrated device including an air compressor, a cold dryer, and a gas storage tank; an injection main pipe integrating an electromagnetic flowmeter, a pressure transmitter, and UPVC pipe valves; an injection well pipeline integrating an electromagnetic flowmeter, a pressure transmitter, an electric ball valve, and UPVC pipe valves; a multi-parameter collaborative optimization control unit for real-time acquisition of ORP, DO, pollutant concentration decay rate, temperature, and bacterial activity indicators, and dynamically adjusting the gas injection volume, bacterial solution injection acceleration rate, and nutrient solution ratio based on the remediation efficiency / cost as a reward function.

[0018] The microbial injection module further comprises a magnetic reed liquid level meter for triggering injection pump shutdown protection when the liquid level is below a threshold value; and a pH adjusting device interlocked with a pH detector for real-time control of pH within a reasonable range.

[0019] The working process of the parameter collaborative optimization control unit is as follows: the injection amount and the bacteria liquid injection rate are updated every 10-15 minutes based on the sensor data stream; when the pollutant concentration exceeds the threshold value or the parameter adjustment fails, an audible and light alarm and remote notification are triggered; the adjustment strategy effectiveness is evaluated in real time according to the pollutant concentration trend, and the input and output of each module are adjusted. The adjustment strategy is as follows: the pollutant concentration is monitored in real time and compared with the pollutant concentration trend, and the input and output of each module are adjusted based on the real-time sensor data stream.

[0020] The execution process of the intelligent parameter selection module is as follows: data extraction: 11-dimensional features are extracted to characterize the change state of the bacteria amount, injection amount and pollutant concentration in each in-situ remediation process, including pollutant type, exceeding pollutant type, pollution concentration distribution, initial pollutant concentration, bacteria injection rate, injection amount, mid-term pollutant treatment concentration and effect, final pollutant treatment concentration and effect, soil physical and chemical properties, groundwater physical and chemical properties, and remediation target; key variables of pollutant concentration change in in-situ remediation are selected by fusing data; the mid-term pollutant treatment concentration and effect, final pollutant treatment concentration and effect, bacteria injection rate and injection amount are used as labels for model training; a pollutant concentration prediction model is constructed using the XGBoost algorithm based on the key variables and labels to obtain the pollutant concentration trend; the key variables include: exceeding pollutant type, initial pollutant concentration, bacteria injection rate, injection amount, final pollutant treatment concentration and effect. The model training parameters include learning rate, maximum leaf node depth and regularization term coefficient, all of which use the default values of the XGBoost algorithm.

[0021] The microbial configuration tank is used as the main body: volume 1m3, material PE, matched with a stirrer. A magnetic reed liquid level meter is arranged inside to alarm and automatically stop the operation of the injection pump at low liquid level. The injection pump is selected as a pneumatic diaphragm pump with Q=3m3 / h and H=60m, and the material is PP. A pH detector (0-14), an online thermometer (0-50℃), a DO and ORP instrument, etc. (which can be increased or decreased according to actual needs) are provided to display the values on the control panel. A pH adjusting device (30L) is provided to control the pH within a reasonable range in real time. The microbial injection pipeline is composed of an electromagnetic flowmeter (ND15), a pressure transmitter (1-1.0MPa), an electric ball valve (DN15) and other pipe valves (UPVC). The remote observation and monitoring of the flow, pressure and other parameter values are realized, and the electric ball valve can be controlled to open and close according to the set injection amount.

[0022] According to the process requirements, the main links in the wastewater lifting and other equipment can be controlled on site, and the interface is reserved for the total control of the owner's central control room. The water level in the pool uses intelligent instruments such as float ball switches to transmit signals to achieve the purpose of automatic liquid level control.

[0023] When the water level in the corresponding pool reaches below the minimum water level, the corresponding water pump can automatically stop working; when the water level in the corresponding pool reaches the highest water level, the water pump is automatically started. The motor of the equipment can be started and stopped according to the determined process flow, and the metering pump and other equipment can determine whether to work, when to work, and how to work according to the working condition of the working object. The main hardware working process of the present application is as follows: 1. Injection pump Use magnetic flap liquid level meter or float ball liquid level meter, with the change of water level value, automatically control the operation of water pump, when the water level rises to the set water level, automatically start the water pump; when the water level decreases to the predetermined water level, the water pump is automatically closed.

[0024] 2. PH online instrument According to the change of pH value, the start and stop of acid and alkali dosing pump are automatically controlled. The start and stop of alkali dosing pump: when the pH value rises to the set high value, the alkali metering pump is automatically closed to stop adding alkali; when the pH value decreases to the set low value, the alkali metering pump is automatically opened to start adding alkali. The start and stop of acid dosing pump: when the pH value rises to the set high value, the acid metering pump is automatically started to start adding acid; when the pH value decreases to the set low value, the acid metering pump is automatically closed to stop adding acid.

[0025] 3. Liquid level detection instrument Used for directly measuring the liquid level of the measured liquid and feeding back signals to the control equipment to achieve the purpose of automatic liquid level control.

[0026] 4. Flow detection instrument Including electromagnetic flowmeter and other instruments, used for measuring the flow rate of pipeline liquid, wherein the electromagnetic flowmeter can transmit flow data to the control equipment, and through automatic calculation, the cumulative flow is obtained, which is convenient for the operator to understand the pollutant treatment amount of the equipment, and is beneficial to the data analysis in the later period.

[0027] 5. Multi-parameter collaborative optimization model Real-time monitoring of pollutant concentration, and through model prediction of pollutant concentration trend, comparison of actual values of the two, supplemented by real-time sensor data flow (ORP, DO, pollutant concentration decay rate, temperature, bacterial activity index, etc.), the input and output of each module are adjusted.

[0028] With the reward function of "repair efficiency / cost", the gas injection amount, bacteria liquid injection rate and nutrient liquid proportion are dynamically adjusted. Minute-level dynamic optimization of gas injection / bacteria liquid injection amount is realized to avoid excessive injection, reduce reagent cost and maintain the optimal activity interval of microorganisms. When the pollutant concentration exceeds the set threshold or the equipment parameters fail to be adjusted in time, the equipment will notify the operator through sound and light alarm, short message or email, etc. so as to take timely remedial measures.

[0029] 6. Control effect evaluation and feedback After each adjustment, the equipment will perform real-time evaluation according to the changes of pollutant concentration, equipment operating state, etc. to ensure that the adjustment measures are effective. Through continuous monitoring and feedback, the equipment continuously optimizes the adjustment strategy to improve the processing efficiency in long-term operation.

[0030] Once the automatic control fails or the process is changed, the equipment can be manually controlled, and the working state is observed by the signal light to determine whether the operation is normal.

Claims

1. An in-situ gas injection microbial enhanced organic matter remediation equipment based on free combination of modules, characterized by: The equipment is modular in design, with each module independent of each other and freely combined according to actual needs, including: an intelligent parameter selection module for integrating a historical remediation case database, extracting 11-dimensional features including pollutant type, concentration distribution, soil physical and chemical properties, groundwater physical and chemical properties, and remediation targets, and building a pollutant concentration prediction model through the XGBoost algorithm; the microbial injection module integrates a microbial configuration tank, a pneumatic diaphragm pump, a pH detector, a temperature sensor, a DO / ORP meter, and a pH adjustment device; the gas injection module integrates an integrated device consisting of an air compressor, a cold dryer, and a gas storage tank; the injection main pipe integrates an electromagnetic flowmeter, a pressure transmitter, and UPVC pipe valves; the injection well pipeline is integrated with an electromagnetic flowmeter, a pressure transmitter, an electric ball valve, and UPVC pipe valves; the multi-parameter collaborative optimization control unit is used to collect ORP, DO, pollutant concentration decay rate, temperature, and bacterial activity indicators in real time, and dynamically adjusts the gas injection volume, bacterial solution acceleration rate, and nutrient solution ratio based on the remediation efficiency / cost as the reward function.

2. The in-situ gas injection microbial enhanced organic matter remediation equipment based on free combination of modules according to claim 1 is characterized in that: The microbial injection module also includes: a magnetic flap level gauge for triggering the injection pump shutdown protection when the liquid level is lower than the threshold; a pH adjustment device interlocked with a pH detector for real-time control of the pH within a reasonable range.

3. The in-situ gas injection microbial enhanced organic matter remediation equipment based on free module combination according to claim 1 is characterized in that: The multi-parameter collaborative optimization control unit works as follows: based on the sensor data stream, the gas injection volume and bacterial liquid injection acceleration rate are updated every 10-15 minutes; when the pollutant concentration exceeds the threshold or the parameter adjustment fails, an audible and visual alarm and remote notification are triggered; the effectiveness of the adjustment strategy is evaluated in real time based on the pollutant concentration trend, and the input and output of each module are adjusted.

4. The in-situ gas injection microbial enhanced organic matter remediation equipment based on free module combination according to claim 3 is characterized in that: The adjustment strategy is as follows: real-time monitoring of pollutant concentrations and comparison with pollutant concentration trends, and adjustment of the input and output of each module based on real-time sensor data streams.

5. The in-situ gas injection microbial enhanced organic matter remediation equipment based on free combination of modules according to claim 1 is characterized in that: The intelligent parameter selection module is as follows: Data extraction: Extract 11 features including pollutant type, type of pollutant exceeding the standard, pollution concentration distribution, initial pollutant concentration, microbial agent addition speed, gas injection volume, mid-term pollutant treatment concentration and effect, final pollutant treatment concentration and effect, soil physical and chemical properties, groundwater physical and chemical properties, and remediation targets to characterize the changing state of microbial dosage, gas injection volume, and pollutant concentration during each in-situ remediation process; fuse data and select key variables for pollutant concentration changes in in-situ remediation; use mid-term pollutant treatment concentration and effect, final pollutant treatment concentration and effect, microbial agent addition speed, and gas injection volume as labels for model training; Based on key variables and labels, the XGBoost algorithm is used to build a pollutant concentration prediction model to obtain the pollutant concentration trend; The key variables include: the type of pollutants exceeding the standard, the initial concentration of pollutants, the speed of bacterial addition, the gas injection volume, the final treatment concentration of pollutants and the effect.

6. The in-situ gas injection microbial enhanced organic matter remediation equipment based on free combination of modules according to claim 5 is characterized in that: The model training parameters including learning rate, maximum leaf node depth, and regularization term coefficient all adopt the default values ​​of the XGBoost algorithm.

7. An in-situ gas injection microbial enhanced organic matter remediation method based on free combination of modules, characterized in that: include: (1) Survey the contaminated site data and input it into the intelligent parameter selection module to generate initial remediation parameters; (2) Set the number of microbial injection modules and gas injection modules according to the scope of contamination; (3) Start the multi-parameter collaborative optimization control unit to monitor the concentration gradient of pollutants at the water-soil interface in real time; dynamically adjust the input and output of each module; and adjust the nutrient solution based on the bacterial activity index; (4) When the pollutant concentration decay rate is lower than the preset value, the model is triggered to retrain and the control parameters are updated.

8. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method according to any one of claims 1 when executing the program.

9. A computer-readable storage medium, characterized in that A computer program is stored, and when the program is executed by a processor, the steps of the method according to any one of claim 1 are implemented.

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