A microfluidic chip system and method for in-situ soil remediation

Abstract

The present application relates to a kind of microfluidic chip system and method for in-situ soil remediation, belong to soil remediation technical field.The present application system mainly includes: monitoring control instrument, microfluidic chip device and high-frequency strong electromagnetic field generator etc.Microfluidic chip is connected with magnetic catalyst feeding tank, oxidant feeding tank and supercritical carbon dioxide storage tank, carbon dioxide is converted into supercritical state using high pressure and driving medicine injection, promote medicine to rapidly penetrate into soil micropore, and solubility can be accurately regulated with temperature and pressure.Magnetic field generator of high-frequency strong electromagnetic field does not need to contact with repair material, generates high-frequency magnetic field and directly acts on magnetic catalyst and oxidant, generates local heat by magneto-thermal and magneto-hydrodynamic effect, promotes electron migration, strengthens catalytic oxidation reaction activity, and the diffusion migration of magnetic catalyst in soil is driven by magnetic field, and the diffusion and oxidation-reduction reaction of target organic matter are significantly accelerated.

Description

Technical Field

[0001] The present invention relates to the technical field of soil remediation, and in particular to a microfluidic chip system and method for in-situ soil remediation. Background Art

[0002] At present, the remediation technologies for organic contaminated soil mainly include chemical oxidation, thermal desorption, chemical leaching and biological treatment technologies. Among them, chemical oxidation technology is widely used in the remediation of construction land soil due to its characteristics of short remediation cycle and low energy consumption. Existing chemical oxidation technology mainly uses oxidizing agents such as persulfate or hydrogen peroxide to generate highly active free radicals (such as SO4 - · and HO·, etc.), through the addition, substitution, electron transfer, and bond scission between free radicals and organic compounds, they oxidize and degrade large, recalcitrant organic compounds in the soil into low- or non-toxic small molecules, or even directly into CO2 and H2O. Persulfate-based advanced oxidation processes (SR-AOPs) are highly efficient, economical, and environmentally friendly, and have been widely and successfully applied in the remediation of a variety of typical organically contaminated soils (such as petroleum hydrocarbons, polycyclic aromatic hydrocarbons, pesticides, and polychlorinated biphenyls).

[0003] Existing advanced oxidation remediation projects for soils mainly rely on ex situ oxidation technology, which involves spraying oxidants on excavated soil for remediation. However, this technology is not well-suited for soil remediation and management on sites with buildings. In situ advanced oxidation remediation is one of the main development directions of soil chemical oxidation technology. In situ advanced oxidation remediation equipment is an important facility for on-site soil remediation and plays an important role in regulating the catalytic oxidation efficiency and effectiveness of soil remediation materials. Traditional in situ advanced oxidation remediation equipment mainly uses high-pressure rotary jet injection devices, but due to the inherent limitations of the oxidation reaction rate and diffusion kinetics, its remediation efficiency is relatively low. Summary of the Invention

[0004] The present invention overcomes the deficiencies of the prior art and provides a microfluidic chip system and method for in-situ soil remediation.

[0005] In order to achieve the above object, the technical solution adopted by the present invention is:

[0006] A first aspect of the present invention provides a microfluidic chip system for in situ soil remediation, characterized in that the system comprises:

[0007] A monitoring and control instrument, which is connected to a plurality of pollutant concentration monitors and carbon dioxide concentration sensors, obtains data collected by the pollutant concentration monitors and carbon dioxide concentration sensors through the monitoring and control instrument, and transmits the data to the intelligent control system;

[0008] A microfluidic chip is used to inject a preset agent into the soil. The microfluidic chip is connected to a magnetic catalyst feeding box, an oxidant feeding box, and a supercritical carbon dioxide storage tank, and the preset agent is delivered to the microfluidic chip by a pressure pump.

[0009] The high-frequency strong electromagnetic field generator induces magnetocaloric effect through alternating current and heats the soil.

[0010] A second aspect of the present invention provides a control method for a microfluidic chip system for in-situ soil remediation. The control method is applied to the microfluidic chip system for in-situ soil remediation, comprising the following steps:

[0011] By deploying pollutant concentration monitors in soil contaminated areas and building a pollution monitoring network based on the pollutant concentration monitors, pollution characteristic data information of the current soil contaminated areas can be obtained through the pollution monitoring network;

[0012] Constructing a three-dimensional distribution map of the current soil contamination area based on the pollution characteristic data information of the current soil contamination area, and obtaining the soil characteristic data information of the current soil contamination area;

[0013] Generate a magnetothermal simulation characteristic map of each layout location point based on the three-dimensional distribution map of the current soil contaminated area and the soil characteristic data information of the current soil contaminated area, and construct a layout map of the high-frequency strong electromagnetic field generator based on the magnetothermal simulation characteristic map of each layout location point;

[0014] The current soil contaminated area is laid out according to the layout diagram of the high-frequency strong electromagnetic field generator, and the microfluidic chip is controlled to input a preset type of agent.

[0015] Furthermore, in this method, a pollution monitoring network is constructed based on the pollutant concentration monitor, specifically including:

[0016] Obtaining pollution survey data information of the current soil pollution area, and obtaining pollution type data information and pollution spatial characteristic data information based on the pollution survey data information of the current soil pollution area, and deploying pollution concentration monitors based on the pollution type data information and pollution spatial characteristic data information;

[0017] Initialize the location and number of pollution concentration monitors, initialize the number of communication base stations based on the location and number of pollution concentration monitors, introduce a particle swarm algorithm, set the iteration number based on the particle swarm algorithm, and simulate the network load of the pollution monitoring network to obtain the network occupancy characteristic data information of each pollution concentration monitor within a unit time;

[0018] Calculate the maximum network occupancy characteristic data information based on the number of communication base stations, and calculate the total network occupancy characteristic data information based on the network occupancy characteristic data information of each pollution concentration monitor within a unit time;

[0019] When the total network occupancy characteristic data information is greater than the maximum network occupancy characteristic data information, iteration is performed according to the iterative algebra to adjust the number information of communication base stations until the total network occupancy characteristic data information is no greater than the maximum network occupancy characteristic data information, and the number information of communication base stations is output. A pollution monitoring network is constructed based on the number information of communication base stations, the layout locations of pollution concentration monitors, and the layout numbers.

[0020] Furthermore, in this method, a three-dimensional distribution map of the current soil contaminated area is constructed based on the pollution characteristic data information of the current soil contaminated area, specifically including:

[0021] Obtaining the spatial distribution characteristics of the pollution in the soil based on the pollution characteristic data information of the current soil pollution area, and obtaining the extreme coordinate points of the pollution in three-dimensional space based on the spatial distribution characteristics of the pollution in the soil;

[0022] Setting soil pollution concentration threshold information, obtaining soil pollution concentration information at a limit coordinate point in the three-dimensional space, and determining whether the soil pollution concentration information at the limit coordinate point in the three-dimensional space is not less than the soil pollution concentration threshold information;

[0023] When the soil pollution concentration information of the extreme coordinate point in the three-dimensional space is not less than the soil pollution concentration threshold information, it is marked as the extreme coordinate point of the current soil pollution area;

[0024] When the soil pollution concentration information of the extreme coordinate point in the three-dimensional space is less than the soil pollution concentration threshold information, the corresponding extreme coordinate point is eliminated, and the extreme coordinate point is updated to obtain the updated extreme coordinate point, and a three-dimensional distribution map of the current soil pollution area is constructed based on the updated extreme coordinate point.

[0025] Furthermore, in this method, a magnetic-thermal simulation characteristic map of each layout location point is generated based on the three-dimensional distribution map of the current soil contaminated area and the soil characteristic data information of the current soil contaminated area, specifically including:

[0026] Acquire characteristic data information of magnetocaloric effect generated under soil characteristic data information of each soil contaminated area through big data, construct a knowledge graph, and input the characteristic data information of magnetocaloric effect generated under soil characteristic data information of each soil contaminated area into the knowledge graph for storage;

[0027] Input the soil characteristic data information of the current soil contaminated area into the knowledge graph for data matching, and obtain the characteristic data information of the magnetocaloric effect generated under the soil characteristic data information of the current soil contaminated area;

[0028] Initialize the location of high-frequency strong electromagnetic field generators based on the three-dimensional distribution map of the current soil contaminated area;

[0029] The magnetothermal effect simulation is performed based on the layout location of the high-frequency strong electromagnetic field generator and the characteristic data information of the magnetothermal effect generated under the soil characteristic data information of the current soil contaminated area, and the magnetothermal simulation characteristic map of each layout location point is obtained.

[0030] Furthermore, in this method, a layout diagram of a high-frequency strong electromagnetic field generator is constructed based on the magnetothermal simulation characteristic diagram of each layout position point, specifically including:

[0031] Integrate the genetic algorithm and set the genetic generation according to the genetic algorithm to initially set the layout location of the high-frequency strong electromagnetic field generator, obtain the magnetic thermal simulation characteristic map of the current layout location, and determine whether the area range of the magnetic thermal simulation characteristic map is larger than the range of the three-dimensional distribution map of the current soil contaminated area;

[0032] When the area range of the magnetothermal simulation characteristic map is larger than the range of the three-dimensional distribution map of the current soil contaminated area, the inheritance ends, the layout location of the high-frequency strong electromagnetic field generator is output, and the layout map of the high-frequency strong electromagnetic field generator is constructed according to the layout location of the high-frequency strong electromagnetic field generator;

[0033] When the area range of the magnetothermal simulation characteristic map is not larger than the range of the three-dimensional distribution map of the current soil contamination area, genetic iteration is performed according to genetic algebra to adjust the distribution positions of the high-frequency strong electromagnetic field generators until the area range of the magnetothermal simulation characteristic map is larger than the range of the three-dimensional distribution map of the current soil contamination area.

[0034] Furthermore, in this method, the current soil contaminated area is laid out according to the layout diagram of the high-frequency strong electromagnetic field generator, and the microfluidic chip is controlled to input a preset type of agent, specifically including:

[0035] The current soil contaminated area is laid out according to the layout diagram of the high-frequency strong electromagnetic field generator, and the control parameters of the high-frequency strong electromagnetic field generator are obtained in real time. At the same time, the optimal control parameters of the high-frequency strong electromagnetic field generator under the soil characteristic data information are obtained through big data;

[0036] Obtain soil characteristic data information of the current soil contaminated area, and obtain the optimal control parameters of the high-frequency strong electromagnetic field generator for the current soil contaminated area based on the optimal control parameters of the high-frequency strong electromagnetic field generator under each soil characteristic data information and the soil characteristic data information of the current soil contaminated area;

[0037] Comparing the control parameters of the high-frequency strong electromagnetic field generator with the control parameters of the optimal high-frequency strong electromagnetic field generator in the current soil contaminated area to obtain a deviation rate, and determining whether the deviation rate is greater than a preset deviation rate threshold;

[0038] When the deviation rate is greater than the preset deviation rate threshold, the control parameters of the high-frequency strong electromagnetic field generator are intelligently adjusted according to the control parameters of the optimal high-frequency strong electromagnetic field generator in the current soil contaminated area, and the microfluidic chip is controlled to input a preset type of agent.

[0039] A third aspect of the present invention provides an intelligent control system for a microfluidic chip system for in-situ soil remediation. The intelligent control system includes a memory and a processor. The memory includes a control method program for the microfluidic chip system for in-situ soil remediation. When the control method program for the microfluidic chip system for in-situ soil remediation is executed by the processor, the following steps are implemented:

[0040] By deploying pollutant concentration monitors in soil contaminated areas and building a pollution monitoring network based on the pollutant concentration monitors, pollution characteristic data information of the current soil contaminated areas can be obtained through the pollution monitoring network;

[0041] Constructing a three-dimensional distribution map of the current soil contamination area based on the pollution characteristic data information of the current soil contamination area, and obtaining the soil characteristic data information of the current soil contamination area;

[0042] Generate a magnetothermal simulation characteristic map of each layout location point based on the three-dimensional distribution map of the current soil contaminated area and the soil characteristic data information of the current soil contaminated area, and construct a layout map of the high-frequency strong electromagnetic field generator based on the magnetothermal simulation characteristic map of each layout location point;

[0043] The current soil contaminated area is laid out according to the layout diagram of the high-frequency strong electromagnetic field generator, and the microfluidic chip is controlled to input a preset type of agent.

[0044] The present invention solves the defects existing in the background technology and has the following beneficial effects:

[0045] Microfluidics is a technology that uses micro-flow in micron-scale channels to manipulate and analyze fluids to achieve efficient and rapid reactions. The present invention uses high pressure to convert carbon dioxide into a supercritical state and drives the injection of reagents through a microfluidic chip, developing the potential for high value-added utilization of greenhouse gases in environmental remediation. In the microfluidic chip system, supercritical carbon dioxide enhances the dispersion and dissolution of the repair oxidant, promotes the rapid penetration of the reagent into the soil micropores, and the solubility can be precisely controlled by temperature and pressure. Magnetodynamic enhancement does not require contact and directly acts on the magnetic catalyst and oxidant. It generates local heat and promotes electron migration through magnetocaloric and magnetohydrodynamic effects to enhance the activity of the catalytic oxidation reaction. The magnetic field drives the diffusion and migration of the magnetic catalyst in the soil, significantly accelerating the reaction and diffusion dynamics, and realizing in-situ efficient and low-cost remediation and treatment of soil pollution. The present invention fully considers the characteristics of the soil, thereby intelligently regulating the high-frequency strong electromagnetic field generator, thereby improving the remediation effect of organic pollutants in the soil. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, without paying any creative work, they can also obtain drawings of other embodiments based on these drawings.

[0047] Figure 1 shows an overall schematic diagram of a microfluidic chip system for in situ soil remediation;

[0048] Figure 2 A first method flow chart of a control method of a microfluidic chip system for in-situ soil remediation is shown;

[0049] Figure 3 A second method flow chart of a control method of a microfluidic chip system for in-situ soil remediation is shown;

[0050] Figure 4 A system block diagram of an intelligent control system of a microfluidic chip system for in-situ soil remediation is shown. DETAILED DESCRIPTION

[0051] In order to more clearly understand the above-mentioned objects, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the absence of conflict, the embodiments of the present application and the features therein can be combined with each other.

[0052] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the scope of protection of the present invention is not limited to the specific embodiments disclosed below.

[0053] Example 1

[0054] This embodiment describes a microfluidic chip system for in situ soil remediation. Figure 1 As shown, the system includes:

[0055] The monitoring and control device 9 is connected to the pollutant concentration monitors 2 and the carbon dioxide concentration sensor 10, and obtains the data collected by the pollutant concentration monitors 2 and the carbon dioxide concentration sensor 10 through the monitoring and control device 9 and transmits the data to the intelligent control system 1;

[0056] The microfluidic chip 3 is used to inject the preset reagent into the soil, and the microfluidic chip 3 is connected to the magnetic catalyst feeding box 4, the oxidant feeding box 5 and the supercritical carbon dioxide storage tank 6, and all are transported to the microfluidic chip through the action of the pressure pump 7; on the microfluidic chip, the gas and the reagent can flow in the micron-level channel with high flow rate and large surface area, providing more reaction and diffusion interfaces, and can also accurately control reaction conditions such as temperature, pressure, and concentration, significantly accelerating the reaction and diffusion process.

[0057] The high-frequency strong electromagnetic field generator 8 triggers the magnetocaloric effect through alternating current and heats the soil, which can stably realize the efficient activation of oxidant free radicals, ensure the effective diffusion of the low-medium permeability saturation layer reagents and the efficient degradation of pollutants.

[0058] It should be noted that the design pressure of supercritical carbon dioxide storage tank 6 (supercritical CO2 device) is 20MPa, and the design flow rate of supercritical CO2 and the iron-based catalyst and slow-release persulfate mixture in the reagent tank is 20-100L / min. The microfluidic device adopts a Y-shaped structure, with a channel inner diameter of 1-10mm, a design temperature of 30-200°C, a design pressure of 40MPa, and a residence time of 10-50min. The high-pressure rotary jet device has an injection pressure of 20-30MPa, a lifting speed of 15-40cm / min, and a rotation speed of 15-25r / min. The electrode capacitor of the electromagnetic dynamics enhancement module is 0.06-0.624F, with a design voltage of 60-120V and an alternating current frequency of 60Hz. The electrodes are installed by drilling a well, and the depth is determined by the degree of contamination. The intelligent control system 1 has a remote control function, which can realize remote monitoring, reading, and storage of equipment operating parameters and operating status.

[0059] Among them, the iron-based catalyst and the slow-release persulfate mixed agent are mixed in a precise ratio, supercritical CO2 is used as a carrier, and the flow rate is controlled by a pressure pump 7 to fully mix the mixed agent with the supercritical CO2 homogeneous fluid through a microfluidic system, thereby improving the mass transfer efficiency and promoting the generation of active free radicals; the mixed remediation agent is rapidly and evenly injected into the contaminated soil through a high-pressure rotary spray device to cover the contaminated area to the greatest extent; the high-frequency strong electromagnetic field generator 8 set in the soil triggers a magnetocaloric effect through alternating current, further activating the remediation agent, accelerating the catalytic oxidation reaction, and enhancing the degradation of soil organic matter.

[0060] The microfluidic chip system of the present invention was applied to the remediation of a contaminated site at a chemical plant. The depth of the contaminated soil was 55 cm. Electrodes were installed by drilling wells. The electrode capacitor of the electromagnetic dynamics enhancement module was 0.06 F, the design voltage was 80 V, and the alternating current frequency was 60 Hz. The high-pressure rotary jet device had an injection pressure of 30 MPa, a lifting speed of 25 cm / min, and a rotation speed of 20 r / min. The design pressure of the supercritical CO2 device was 20 MPa, and the design flow rate of the supercritical CO2 and the iron-based catalyst and slow-release persulfate mixed agent in the agent box was 50 L / min. The microfluidic device adopted a Y-shaped structure, the inner diameter of the channel was 5 mm, the design temperature was 120°C, the design pressure was 40 MPa, and the residence time was 30 min.

[0061] The system operated for 15 days, with an average temperature reaching 120°C. Due to the microfluidic chip's extremely small channel dimensions, gases and reagents can flow within the micron-scale channels, resulting in high flow rates and a large surface area, providing more reaction and diffusion interfaces. This allows for precise control of reagent delivery and enables rapid, continuous delivery. Testing of samples collected from the contaminated remediation site showed that after the operation, soil benzene levels dropped from a maximum of 36 mg / kg to 0.3 mg / kg, chlorobenzene levels from a maximum of 233 mg / kg to below 15 mg / kg, chloroform levels from a maximum of 21 mg / kg to below 0.1 mg / kg, and nitrobenzene levels from a maximum of 24 mg / kg to below 6.8 mg / kg. Comparisons with in-situ chemical oxidation remediation using a high-pressure rotary jet device alone showed that, under the same operating load, the run time to achieve similar removal rates was over 30 days. This microfluidic chip system shortens disposal cycles and saves energy. Compared to a control experiment using fade-out chemical oxidation technology, pollutant removal rates were increased by 20%-41%.

[0062] As can be seen from the examples, the present invention utilizes high pressure to convert CO2 into a supercritical state and drive the injection of reagents, developing the potential for high value-added utilization of greenhouse gases in environmental remediation. Supercritical CO2 enhances the dispersion and dissolution of the repair oxidant, promoting the rapid penetration of the reagent into the soil micropores, and the solubility can be precisely controlled by temperature and pressure. Magnetodynamic enhancement does not require contact and directly acts on the magnetic catalyst and oxidant. It generates local heat and promotes electron migration through magnetocaloric and magnetohydrodynamic effects to enhance the activity of the catalytic oxidation reaction. The magnetic field drives the diffusion and migration of the magnetic catalyst in the soil, significantly accelerating the reaction and diffusion dynamics, and realizing in-situ, efficient and low-cost remediation and treatment of soil pollution.

[0063] Example 2

[0064] like Figure 2 As shown, this embodiment introduces a control method for a microfluidic chip system for in-situ soil remediation, which is applied to the microfluidic chip system for in-situ soil remediation, including the following steps:

[0065] S102: Deploy pollutant concentration monitors in the soil contaminated area, build a pollution monitoring network based on the pollutant concentration monitors, and obtain pollution characteristic data information of the current soil contaminated area through the pollution monitoring network;

[0066] S104: constructing a three-dimensional distribution map of the current soil contaminated area based on the pollution characteristic data information of the current soil contaminated area, and obtaining the soil characteristic data information of the current soil contaminated area;

[0067] S106: generating a magnetothermal simulation characteristic map of each layout location point based on the three-dimensional distribution map of the current soil contaminated area and the soil characteristic data information of the current soil contaminated area, and constructing a layout map of the high-frequency strong electromagnetic field generator based on the magnetothermal simulation characteristic map of each layout location point;

[0068] S108: Layout the current soil contaminated area according to the layout diagram of the high-frequency strong electromagnetic field generator, and control the microfluidic chip to input a preset type of agent.

[0069] It should be noted that the present invention fully considers the characteristics of the soil, thereby performing intelligent regulation of the high-frequency strong electromagnetic field generator, thereby improving the remediation effect of organic pollutants in the soil.

[0070] Furthermore, in this method, a pollution monitoring network is constructed based on the pollutant concentration monitor, specifically including:

[0071] Obtaining pollution survey data information of the current soil pollution area, and obtaining pollution type data information and pollution spatial characteristic data information based on the pollution survey data information of the current soil pollution area, and deploying pollution concentration monitors based on the pollution type data information and pollution spatial characteristic data information;

[0072] Initialize the number of communication base stations based on the location and number of pollution concentration monitors, introduce a particle swarm algorithm, set the iteration number based on the particle swarm algorithm, and simulate the network load of the pollution monitoring network to obtain the network occupancy characteristic data information of each pollution concentration monitor within a unit time;

[0073] Calculate the maximum network occupancy characteristic data information based on the number of communication base stations, and calculate the total network occupancy characteristic data information based on the network occupancy characteristic data information of each pollution concentration monitor within a unit time;

[0074] When the total network occupancy characteristic data information is greater than the maximum network occupancy characteristic data information, iteration is performed according to the iterative algebra to adjust the number information of communication base stations until the total network occupancy characteristic data information is no greater than the maximum network occupancy characteristic data information, and the number information of communication base stations is output. A pollution monitoring network is constructed based on the number information of communication base stations, the layout locations of pollution concentration monitors, and the layout numbers.

[0075] It should be noted that, since the pollution monitoring network often collects data through pollution concentration monitors during soil monitoring, and then transmits the collected data through related communication equipment, the more pollution concentration monitors there are, the greater the required communication volume will be (the network occupancy characteristic data information will be larger). The particle swarm algorithm is used to optimize the number of communication base stations to increase the maximum network occupancy characteristic data information, so that the total network occupancy characteristic data information is no greater than the maximum network occupancy characteristic data information, maintaining stable data transmission and avoiding delayed transmission or network disconnection.

[0076] like Figure 3 As shown, further, in this method, a three-dimensional distribution map of the current soil contaminated area is constructed based on the pollution characteristic data information of the current soil contaminated area, specifically including:

[0077] S202: Obtaining spatial distribution characteristics of pollution in the soil based on pollution characteristic data information of the current soil pollution area, and obtaining extreme coordinate points of the pollution in three-dimensional space based on the spatial distribution characteristics of the pollution in the soil;

[0078] S204: Setting soil pollution concentration threshold information, obtaining soil pollution concentration information at a limit coordinate point in the three-dimensional space, and determining whether the soil pollution concentration information at the limit coordinate point in the three-dimensional space is not less than the soil pollution concentration threshold information;

[0079] S206: When the soil pollution concentration information of the limit coordinate point in the three-dimensional space is not less than the soil pollution concentration threshold information, it is marked as the limit coordinate point of the current soil pollution area;

[0080] S208: When the soil pollution concentration information of the extreme coordinate point in the three-dimensional space is less than the soil pollution concentration threshold information, the corresponding extreme coordinate point is eliminated, and the extreme coordinate point is updated to obtain the updated extreme coordinate point, and a three-dimensional distribution map of the current soil pollution area is constructed based on the updated extreme coordinate point.

[0081] It should be noted that the pollution characteristic data information includes data such as pollution type, pollution concentration information, and pollution depth information. When the soil pollution concentration information of the extreme coordinate point in the three-dimensional space is less than the soil pollution concentration threshold information, it means that certain areas meet the standards, thereby improving the rationality of data monitoring through this method.

[0082] Furthermore, in this method, a magnetic-thermal simulation characteristic map of each layout location point is generated based on the three-dimensional distribution map of the current soil contaminated area and the soil characteristic data information of the current soil contaminated area, specifically including:

[0083] Acquire characteristic data information of magnetocaloric effect generated under soil characteristic data information of each soil contaminated area through big data, construct a knowledge graph, and input the characteristic data information of magnetocaloric effect generated under soil characteristic data information of each soil contaminated area into the knowledge graph for storage;

[0084] Input the soil characteristic data information of the current soil contaminated area into the knowledge graph for data matching, and obtain the characteristic data information of the magnetocaloric effect generated under the soil characteristic data information of the current soil contaminated area;

[0085] Initialize the location of high-frequency strong electromagnetic field generators based on the three-dimensional distribution map of the current soil contaminated area;

[0086] The magnetothermal effect simulation is performed based on the layout location of the high-frequency strong electromagnetic field generator and the characteristic data information of the magnetothermal effect generated under the soil characteristic data information of the current soil contaminated area, and the magnetothermal simulation characteristic map of each layout location point is obtained.

[0087] It should be noted that the soil characteristic data information includes soil type, soil moisture content, soil permeability, etc. Since the magnetocaloric effect generated by the high-frequency strong electromagnetic field generator is inconsistent under different soil types, soil moisture content, and soil permeability, that is, the heating characteristics are also inconsistent, the heating time and the required heat amount for different soil types, soil moisture content, and soil permeability are also inconsistent. Through this method, the magnetocaloric simulation characteristic map of each layout position point can be accurately obtained, thereby simulating the characteristic data information (heating and cooling conditions) of the magnetocaloric effect at different depths.

[0088] Furthermore, in this method, a layout diagram of a high-frequency strong electromagnetic field generator is constructed based on the magnetothermal simulation characteristic diagram of each layout position point, specifically including:

[0089] Integrate the genetic algorithm and set the genetic generation according to the genetic algorithm to initially set the layout location of the high-frequency strong electromagnetic field generator, obtain the magnetic thermal simulation characteristic map of the current layout location, and determine whether the area range of the magnetic thermal simulation characteristic map is larger than the range of the three-dimensional distribution map of the current soil contaminated area;

[0090] When the area range of the magnetothermal simulation characteristic map is larger than the range of the three-dimensional distribution map of the current soil contaminated area, the inheritance ends, the layout location of the high-frequency strong electromagnetic field generator is output, and the layout map of the high-frequency strong electromagnetic field generator is constructed according to the layout location of the high-frequency strong electromagnetic field generator;

[0091] When the area range of the magnetothermal simulation characteristic map is not larger than the range of the three-dimensional distribution map of the current soil contamination area, genetic iteration is performed according to genetic algebra to adjust the distribution positions of the high-frequency strong electromagnetic field generators until the area range of the magnetothermal simulation characteristic map is larger than the range of the three-dimensional distribution map of the current soil contamination area.

[0092] It should be noted that this method can select the optimal layout location of the high-frequency strong electromagnetic field generator, so that less electrical energy is required to raise or lower the temperature to the preset level, and the area range of the magnetothermal simulation characteristic map is larger than the range of the three-dimensional distribution map of the current soil contaminated area, which is more reasonable and energy-saving than the existing technology.

[0093] Furthermore, in this method, the current soil contaminated area is laid out according to the layout diagram of the high-frequency strong electromagnetic field generator, and the microfluidic chip is controlled to input a preset type of agent, specifically including:

[0094] The current soil contaminated area is laid out according to the layout diagram of the high-frequency strong electromagnetic field generator, and the control parameters of the high-frequency strong electromagnetic field generator are obtained in real time. At the same time, the optimal control parameters of the high-frequency strong electromagnetic field generator under the soil characteristic data information are obtained through big data;

[0095] Obtain soil characteristic data information of the current soil contaminated area, and obtain the optimal control parameters of the high-frequency strong electromagnetic field generator for the current soil contaminated area based on the optimal control parameters of the high-frequency strong electromagnetic field generator under each soil characteristic data information and the soil characteristic data information of the current soil contaminated area;

[0096] Comparing the control parameters of the high-frequency strong electromagnetic field generator with the control parameters of the optimal high-frequency strong electromagnetic field generator in the current soil contaminated area to obtain a deviation rate, and determining whether the deviation rate is greater than a preset deviation rate threshold;

[0097] When the deviation rate is greater than the preset deviation rate threshold, the control parameters of the high-frequency strong electromagnetic field generator are intelligently adjusted according to the control parameters of the optimal high-frequency strong electromagnetic field generator in the current soil contaminated area, and the microfluidic chip is controlled to input a preset type of agent.

[0098] It should be noted that this method can select the optimal control parameters of the high-frequency strong electromagnetic field generator under different soil characteristic data information, that is, the control parameters of the high-frequency strong electromagnetic field generator corresponding to different soil characteristic data excluding organic matter in the soil are inconsistent. This method improves the rationality of soil remediation.

[0099] In addition, the method may further comprise the following steps:

[0100] The historical magnetocaloric effect performance characteristic data of the high-frequency strong electromagnetic field generator within a preset time is obtained through big data, and a magnetocaloric effect performance characteristic change prediction model is constructed based on a deep neural network;

[0101] Constructing a feature matrix based on historical magnetocaloric effect performance characteristic data information of the high-frequency strong electromagnetic field generator within a preset time, and inputting the feature matrix into the magnetocaloric effect performance characteristic change prediction model for training, thereby obtaining a trained magnetocaloric effect performance characteristic change prediction model;

[0102] Obtaining magnetocaloric effect performance characteristic data information of the high-frequency strong electromagnetic field generator within a preset time, and inputting the magnetocaloric effect performance characteristic data information of the high-frequency strong electromagnetic field generator within the preset time into the trained magnetocaloric effect performance characteristic change prediction model for prediction, thereby obtaining the magnetocaloric effect performance characteristic data information within the preset time;

[0103] Obtaining magnetocaloric effect performance characteristic data information required for the current soil contaminated area, and determining whether the magnetocaloric effect performance characteristic data information within the preset time is not greater than the magnetocaloric effect performance characteristic data information required for the current soil contaminated area;

[0104] When the magnetocaloric effect performance characteristic data information within the preset time is not greater than the magnetocaloric effect performance characteristic data information required by the current soil contaminated area, the control parameters of the high-frequency strong electromagnetic field generator that need to be supplemented are calculated, and the control parameters of the current high-frequency strong electromagnetic field generator are compensated according to the control parameters of the high-frequency strong electromagnetic field generator that need to be supplemented.

[0105] It should be noted that since the magnetocaloric effect performance of the high-frequency strong electromagnetic field generator will decrease during use, such as from high performance to low performance, and the original treatment effect cannot be achieved, this method can further improve the rationality of the control of the current high-frequency strong electromagnetic field generator.

[0106] In addition, the method may further comprise the following steps:

[0107] Obtaining magnetocaloric effect performance characteristic data information of high-frequency strong electromagnetic field generators currently in stock within a preset time period and magnetocaloric effect performance characteristic data information required for each soil contaminated area;

[0108] Constructing a magnetocaloric effect performance ranking table, inputting magnetocaloric effect performance characteristic data information of the high-frequency strong electromagnetic field generators currently in stock within a preset time into the magnetocaloric effect performance ranking table for ranking, and obtaining a ranking result;

[0109] Introducing a genetic algorithm, inputting the magnetocaloric effect performance characteristic data information required by each soil contaminated area and a ranking result into the genetic algorithm, and determining whether the ranking result is greater than the magnetocaloric effect performance characteristic data information required by the soil contaminated area;

[0110] When the sorting result is greater than the magnetocaloric effect performance characteristic data information required by the soil contaminated area, the corresponding high-frequency strong electromagnetic field generator will be allocated to the current soil contaminated area for in-situ restoration and treatment, until the magnetocaloric effect performance characteristic data information required by each soil contaminated area is allocated, and an allocation result is generated, and each soil contaminated area is repaired and treated in situ according to the allocation result.

[0111] It should be noted that during the repair and treatment process, the magnetocaloric effect performance of the high-frequency strong electromagnetic field generator may not meet the predetermined requirements. This method can optimize the equipment usage plan during the in-situ repair and treatment process and improve the repair rationality of the treatment process.

[0112] like Figure 4As shown, the third aspect of the present invention provides an intelligent control system 4 of a microfluidic chip system for in-situ soil remediation. The intelligent control system 4 includes a memory 41 and a processor 42. The memory 41 includes a control method program for the microfluidic chip system for in-situ soil remediation. When the control method program for the microfluidic chip system for in-situ soil remediation is executed by the processor 42, the following steps are implemented:

[0113] By deploying pollutant concentration monitors in soil contaminated areas and building a pollution monitoring network based on the pollutant concentration monitors, pollution characteristic data information of the current soil contaminated areas can be obtained through the pollution monitoring network;

[0114] Constructing a three-dimensional distribution map of the current soil contamination area based on the pollution characteristic data information of the current soil contamination area, and obtaining the soil characteristic data information of the current soil contamination area;

[0115] Generate a magnetothermal simulation characteristic map of each layout location point based on the three-dimensional distribution map of the current soil contaminated area and the soil characteristic data information of the current soil contaminated area, and construct a layout map of the high-frequency strong electromagnetic field generator based on the magnetothermal simulation characteristic map of each layout location point;

[0116] The current soil contaminated area is laid out according to the layout diagram of the high-frequency strong electromagnetic field generator, and the microfluidic chip is controlled to input a preset type of agent.

[0117] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0118] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed across multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the scheme of this embodiment.

[0119] In addition, each function unit in each embodiment of the present application can be integrated in one processing unit, or each unit can be separately as a unit, or two or more units can be integrated in one unit; the integrated unit can be realized in the form of hardware or in the form of hardware plus software function unit.

[0120] Those skilled in the art can understand that all or part of the steps of the above-mentioned method embodiments can be completed by program instruction related hardware, and the foregoing program can be stored in a computer readable storage medium, and the program executes the steps including the above-mentioned method embodiments when executed; and the foregoing storage medium includes a mobile storage device, a read-only memory (ROM), a random access memory (RAM), a magnetic disc or an optical disc, and various storage medium capable of storing program codes.

[0121] Alternatively, the integrated unit of the present application, if realized in the form of a software function module and sold or used as an independent product, can also be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application can be embodied in the form of a software product, and the computer software product is stored in a storage medium, includes several instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the embodiments of the method of the present application. The foregoing storage medium includes a mobile storage device, a ROM, a RAM, a magnetic disc or an optical disc, and various storage medium capable of storing program codes.

[0122] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can easily think of changes or replacements within the technical range disclosed by the present application, which should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A control method for a microfluidic chip system for in-situ soil remediation, comprising the following steps: By deploying pollutant concentration monitors in soil contaminated areas and building a pollution monitoring network based on the pollutant concentration monitors, pollution characteristic data information of the current soil contaminated areas can be obtained through the pollution monitoring network; Constructing a three-dimensional distribution map of the current soil contamination area based on the pollution characteristic data information of the current soil contamination area, and obtaining the soil characteristic data information of the current soil contamination area; Acquire characteristic data information of magnetocaloric effect generated under soil characteristic data information of each soil contaminated area through big data, construct a knowledge graph, and input the characteristic data information of magnetocaloric effect generated under soil characteristic data information of each soil contaminated area into the knowledge graph for storage; Input the soil characteristic data information of the current soil contaminated area into the knowledge graph for data matching, and obtain the characteristic data information of the magnetocaloric effect generated under the soil characteristic data information of the current soil contaminated area; Initialize the location of high-frequency strong electromagnetic field generators based on the three-dimensional distribution map of the current soil contaminated area; Perform a magnetothermal effect simulation based on the layout locations of the high-frequency strong electromagnetic field generator and the characteristic data information of the magnetothermal effect generated under the soil characteristic data information of the current soil contaminated area, and obtain a magnetothermal simulation characteristic map of each layout location point; The layout diagram of the high-frequency strong electromagnetic field generator is constructed based on the magnetothermal simulation characteristic diagram of each layout position point, specifically: Integrate the genetic algorithm and set the genetic generation according to the genetic algorithm to initially set the layout location of the high-frequency strong electromagnetic field generator, obtain the magnetic thermal simulation characteristic map of the current layout location point, and determine whether its area range is larger than the range of the three-dimensional distribution map of the current soil contaminated area; When its area range is larger than the range of the three-dimensional distribution map of the current soil contaminated area, the inheritance ends, the location of the high-frequency strong electromagnetic field generator is output, and the layout map of the high-frequency strong electromagnetic field generator is constructed according to the location of the high-frequency strong electromagnetic field generator; When the area range is not larger than the range of the three-dimensional distribution map of the current soil contaminated area, genetic iteration is performed according to genetic algebra to adjust the location of the high-frequency strong electromagnetic field generator until the area range of the magnetothermal simulation characteristic map is larger than the range of the three-dimensional distribution map of the current soil contaminated area; The current soil contaminated area is laid out according to the layout diagram of the high-frequency strong electromagnetic field generator, and the microfluidic chip is controlled to input a preset type of agent.

2. The control method of a microfluidic chip system for in-situ soil remediation according to claim 1, characterized in that: The microfluidic chip system for in situ soil remediation comprises: A monitoring and control instrument connected to a plurality of pollutant concentration monitors and carbon dioxide concentration sensors, and acquiring data collected by the pollutant concentration monitors and carbon dioxide concentration sensors through the monitoring and control instrument and transmitting the data to the intelligent control system; A microfluidic chip is used to inject a preset agent into the soil, and the microfluidic chip is connected to a magnetic catalyst feeding box, an oxidant feeding box, and a supercritical carbon dioxide storage tank, and the preset agent is delivered to the microfluidic chip by the action of a pressure pump; The high-frequency strong electromagnetic field generator induces magnetocaloric effect through alternating current and heats the soil.

3. The control method of a microfluidic chip system for in-situ soil remediation according to claim 1, characterized in that: Constructing a pollution monitoring network based on the pollutant concentration monitor specifically includes: Obtaining pollution survey data information of the current soil pollution area, and obtaining pollution type data information and pollution spatial characteristic data information based on the pollution survey data information of the current soil pollution area, and deploying pollution concentration monitors based on the pollution type data information and pollution spatial characteristic data information; Initializing the layout locations and number of pollution concentration monitors, initializing the number of communication base stations based on the layout locations and number of pollution concentration monitors, introducing a particle swarm algorithm, setting an iterative algebra based on the particle swarm algorithm, and performing a network load simulation on the pollution monitoring network to obtain network occupancy characteristic data information of each pollution concentration monitor within a unit time; Calculating the maximum network occupancy characteristic data information based on the number information of the communication base stations, and calculating the total network occupancy characteristic data information based on the network occupancy characteristic data information of each pollution concentration monitor within a unit time; When the total network occupancy characteristic data information is greater than the maximum network occupancy characteristic data information, iteration is performed according to the iterative algebra, and the number information of communication base stations is adjusted until the total network occupancy characteristic data information is no greater than the maximum network occupancy characteristic data information, and the number information of communication base stations is output. A pollution monitoring network is constructed based on the number information of the communication base stations, the layout locations and the layout numbers of pollution concentration monitors.

4. The control method of a microfluidic chip system for in-situ soil remediation according to claim 1, characterized in that: Constructing a three-dimensional distribution map of the current soil contaminated area based on the pollution characteristic data information of the current soil contaminated area specifically includes: Obtaining spatial distribution characteristics of the pollution in the soil based on the pollution characteristic data information of the current soil pollution area, and obtaining extreme coordinate points of the pollution in three-dimensional space based on the spatial distribution characteristics of the pollution in the soil; Setting soil pollution concentration threshold information, obtaining soil pollution concentration information at the limit coordinate point in the three-dimensional space, and determining whether the soil pollution concentration information at the limit coordinate point in the three-dimensional space is not less than the soil pollution concentration threshold information; When the soil pollution concentration information of the limit coordinate point in the three-dimensional space is not less than the soil pollution concentration threshold information, it is marked as the limit coordinate point of the current soil pollution area; When the soil pollution concentration information of the extreme coordinate point in the three-dimensional space is less than the soil pollution concentration threshold information, the corresponding extreme coordinate point is eliminated, and the extreme coordinate point is updated to obtain the updated extreme coordinate point, and a three-dimensional distribution map of the current soil pollution area is constructed based on the updated extreme coordinate point.

5. The control method of a microfluidic chip system for in-situ soil remediation according to claim 1, characterized in that: The current soil contaminated area is laid out according to the layout diagram of the high-frequency strong electromagnetic field generator, and the microfluidic chip is controlled to input a preset type of drug, specifically including: The current soil contaminated area is laid out according to the layout diagram of the high-frequency strong electromagnetic field generator, and the control parameters of the high-frequency strong electromagnetic field generator are obtained in real time. At the same time, the optimal control parameters of the high-frequency strong electromagnetic field generator under the soil characteristic data information are obtained through big data; Acquire soil characteristic data information of the current soil contaminated area, and acquire the optimal control parameters of the high-frequency strong electromagnetic field generator for the current soil contaminated area based on the optimal control parameters of the high-frequency strong electromagnetic field generator under each soil characteristic data information and the soil characteristic data information of the current soil contaminated area; Comparing the control parameters of the high-frequency strong electromagnetic field generator with the control parameters of the optimal high-frequency strong electromagnetic field generator in the current soil contaminated area to obtain a deviation rate, and determining whether the deviation rate is greater than a preset deviation rate threshold; When the deviation rate is greater than a preset deviation rate threshold, the control parameters of the high-frequency strong electromagnetic field generator are intelligently adjusted according to the control parameters of the optimal high-frequency strong electromagnetic field generator in the current soil contaminated area, and the microfluidic chip is controlled to input a preset type of agent.

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