In-situ soil remediation equipment with a venturi device

Abstract

The present application relates to a kind of in-situ soil remediation equipment of venturi device, belong to soil remediation technical field, including: venturi device, ozone generator and conveying system, venturi device includes converging section, throat and divergent section, throat is provided with air inlet, when fluid enters venturi device, through converging section, the velocity of fluid gradually increases, pressure gradually reduces, and in throat, the velocity of fluid reaches maximum, pressure drops to minimum, venturi device is connected by connecting pipeline ozone generator, remediation reagent storage system and conveying system.The present application can better dissolve ozone in remediation reagent by introducing venturi device, form micro-bubble, to improve the contact efficiency of ozone and pollutant, significantly improve remediation effect, oxygen is generated after ozone decomposition, no residue, avoid the secondary pollution problem of chemical reagent to soil.In addition, the device is simple to operate, applicable to a variety of soil conditions.

Description

Technical Field

[0001] This invention relates to the field of soil remediation technology, and in particular to an in-situ soil remediation device equipped with a Venturi device. Background Technology

[0002] High-pressure jet grouting, an innovative method of chemical application originating from foundation reinforcement and pile foundation construction techniques in geological engineering, is often used in conjunction with chemical oxidation remediation processes in soil remediation. It is favored by many scholars both domestically and internationally due to its advantages such as a wide range of applicable soil layers, controllable remediation depth, and adjustable injection pressure. In the remediation of contaminated sites, high-pressure jet grouting involves inserting a grouting pipe (drill rod) with a special nozzle into the soil at a predetermined depth through a borehole. The prepared chemical agent is then sprayed from the nozzle. Simultaneously, the grouting pipe with the nozzle is lifted upwards, and the high-pressure liquid flow cuts and mixes the soil, ensuring thorough mixing of the oxidizing agent with the contaminated soil, oxidizing and decomposing pollutants, and eliminating health risks. After injection, the chemical solution further migrates and diffuses within the aquifer; its final diffusion radius depends on soil permeability and the construction period. However, existing high-pressure jet grouting remediation technologies suffer from problems such as uneven mixing of remediation materials with the soil, secondary pollution caused by excessive addition of chemical agents, and poor effectiveness of direct ozone remediation. Summary of the Invention

[0003] This invention overcomes the shortcomings of the prior art and provides an in-situ soil remediation device equipped with a Venturi device.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0005] The first aspect of this invention provides an in-situ soil remediation device equipped with a Venturi device, comprising: a Venturi device, a grouting pipe, an ozone generator, a remediation agent storage system, and a delivery system.

[0006] The Venturi device includes a converging section, a throat, and a diverging section. An air inlet is provided in the throat. When the fluid enters the Venturi device, it first passes through the converging section, where the fluid velocity gradually increases and the pressure gradually decreases. In the throat, the fluid velocity reaches its maximum and the pressure drops to its minimum.

[0007] The Venturi device is connected to an ozone generator, a remedial agent storage system, and a delivery system via connecting pipes.

[0008] Furthermore, in the in-situ soil remediation equipment equipped with a Venturi device, the air inlet is connected to the ozone generator using a flexible or rigid pipe made of corrosion-resistant material, and the connection is sealed with a sealing ring or sealant.

[0009] Furthermore, in the in-situ soil remediation equipment equipped with a Venturi device, the outlet of the Venturi device is connected to the inlet of the grouting pipe via a flange or thread.

[0010] Furthermore, in the in-situ soil remediation equipment equipped with a Venturi device, the remediation agent storage system and delivery system are connected using high-pressure hoses or rigid pipes, and the connection is sealed with a sealing ring or sealant.

[0011] A second aspect of the present invention provides a control method for in-situ soil remediation equipment equipped with a Venturi device, applicable to any of the in-situ soil remediation equipment equipped with a Venturi device described in any one of the claims, comprising the following steps:

[0012] Acquire pollution data and soil characteristic data of the current soil area to be remediated, and initialize the working parameter data and deployment location of the in-situ soil remediation equipment equipped with the Venturi device;

[0013] The ozone diffusion path is simulated based on the working parameter data of the in-situ soil remediation equipment equipped with the Venturi device, the pollution data information of the current soil area to be remediated, and the soil characteristic data information.

[0014] The diffusion path of ozone in the soil during the remediation process is obtained through simulation, and the remediation status of the current soil area to be remediated is estimated based on the diffusion path of ozone in the soil during the remediation process.

[0015] The placement of the Venturi devices is optimized using the whale algorithm based on the current remediation status of the soil area to be remediated.

[0016] Furthermore, in the control method of in-situ soil remediation equipment equipped with a Venturi device, pollution data information and soil characteristic data information of the current soil area to be remediated are acquired, specifically including:

[0017] By deploying sensors in the soil area to be remediated, the pollution concentration data and pollution type data of each sub-area in the soil area to be remediated are obtained within a preset time. Soil surveys are also conducted in the soil area to be remediated to determine soil structure data, groundwater level data, and soil type data.

[0018] Based on the soil structure data, groundwater level data, and soil type data, soil characteristic data information is constructed.

[0019] By aligning the pollution concentration data of each time point in the pollution concentration data of each sub-region within a preset time period in the soil to be remediated area, the aligned pollution concentration dataset of each sub-region at each time point is obtained.

[0020] The pollution concentration data of each sub-region at the current time point is obtained by aligning the pollution concentration dataset of each sub-region at each time point, and used as the pollution data information of the current soil area to be remediated.

[0021] Furthermore, in the control method for in-situ soil remediation equipment equipped with a Venturi device, the initialization of the operating parameter data and placement location of the in-situ soil remediation equipment equipped with the Venturi device specifically includes:

[0022] By acquiring historical optimal ozone working parameters under various pollution data through big data, and constructing a soil remediation knowledge graph, the historical optimal ozone working parameters under various pollution data are input into the soil remediation knowledge graph for storage.

[0023] Obtain pollution data information for each sub-region of the current soil area to be remediated, and obtain maximum pollution concentration data information from the pollution data information of each sub-region of the current soil area to be remediated;

[0024] The maximum pollution concentration data is input into the soil remediation knowledge graph for data matching to obtain the optimal ozone working parameter data for the current soil area to be remediated.

[0025] The operating parameter data and injection placement location of the in-situ soil remediation equipment equipped with the Venturi device are initialized based on the optimal ozone operating parameter data in the current soil area to be remediated.

[0026] Furthermore, in the control method of the in-situ soil remediation equipment equipped with a Venturi device, the ozone diffusion path is simulated based on the operating parameter data of the in-situ soil remediation equipment equipped with the Venturi device, the pollution data information of the current soil area to be remediated, and the soil characteristic data information. Specifically:

[0027] To obtain soil remediation rate information and agent spraying angle under different working parameter data of in-situ soil remediation equipment equipped with venturi devices;

[0028] Real-time soil remediation rate information is obtained based on the working parameter data of in-situ soil remediation equipment with different Venturi devices and the working parameter data of the current in-situ soil remediation equipment with Venturi devices.

[0029] Based on the real-time soil remediation rate information and the angle of agent spraying, combined with the pollution data information of the current soil area to be remediated and the soil characteristic data information, the remediation process is dynamically simulated.

[0030] Through dynamic simulation, the regions traversed by ozone at each timestamp are obtained, and the regions traversed by ozone at each timestamp are connected.

[0031] Furthermore, in the control method of in-situ soil remediation equipment equipped with a Venturi device, the remediation status of the soil area to be remediated is estimated based on the ozone diffusion path during the remediation process, specifically including:

[0032] Obtain the extreme position data of the current contaminated location in the three-dimensional space of the soil area to be remediated, and construct a real-time contamination model map based on the extreme position data of the current contaminated location in the three-dimensional space of the soil area to be remediated;

[0033] The pollution remediation coverage area is calculated by analyzing the real-time pollution model diagram and the ozone diffusion path in the soil during the remediation process. A coverage area threshold is set, and it is determined whether the pollution remediation coverage area is greater than the coverage area threshold.

[0034] When the coverage area of ​​the pollution remediation is greater than the coverage area threshold, simulation information for normal remediation is generated; when the coverage area of ​​the pollution remediation is not greater than the coverage area threshold, simulation information for abnormal remediation is generated.

[0035] The current restoration status of the soil area to be restored is generated based on the simulation information of normal restoration or abnormal restoration, and the restoration status of the current soil area to be restored is output.

[0036] Furthermore, in the control method of the in-situ soil remediation equipment equipped with a Venturi device, the placement of the Venturi device is optimized using a whale algorithm based on the current remediation status of the soil area to be remediated. Specifically:

[0037] When the remediation status of the current soil area to be remediated is abnormal, the whale algorithm is introduced and a search space is initialized to obtain a real-time pollution model map. Each location point in the real-time pollution model map is regarded as a whale exploring in the ocean.

[0038] The initial positions of each whale are randomly distributed in the search space, the number of whales is initialized, the foraging of each whale is initialized based on the number of whales, and the quality of each whale is evaluated.

[0039] A fitness function is introduced to evaluate the effectiveness of whale predation. The fitness of each whale is calculated and the whale position is updated. The fitness values ​​of the old and new positions are compared to determine whether to accept the new position. Whales that accept the new position are placed into the local high-quality solution set.

[0040] When the whale attaches to the "shark", the spiral update mechanism in the whale algorithm is used to perform a more refined search on the local high-quality solution set, obtain several placement points from the local high-quality solution set, and select the optimal placement position for installing the Venturi device from the placement points for configuration optimization.

[0041] This invention addresses the shortcomings of the prior art and has the following beneficial effects:

[0042] Existing high-pressure jet grouting remediation technology has advantages such as short treatment cycle and low cost. However, the mixing of remediation materials with soil may be uneven, affecting the remediation effect. Furthermore, existing chemical remediation agents may cause secondary pollution to the soil. Ozone, on the other hand, decomposes to generate oxygen, leaving no residue and avoiding secondary pollution. Ozone has low solubility in water, making direct in-situ ozone remediation of soil ineffective and prone to volatilization into the air. This invention introduces a Venturi device, which can better dissolve ozone in the remediation agent, forming microbubbles, thereby improving the contact efficiency between ozone and pollutants and significantly enhancing the remediation effect. Simultaneously, the ozone decomposes to generate oxygen, leaving no residue and avoiding the problem of secondary pollution to the soil by chemical agents. In addition, the device is easy to operate and suitable for various soil conditions. Attached Figure Description

[0043] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other embodiments can be obtained from these drawings without creative effort.

[0044] Figure 1 A schematic diagram of the overall structure of the in-situ soil remediation equipment equipped with a Venturi device is shown.

[0045] Figure 2 A partial structural schematic diagram of an in-situ soil remediation device equipped with a Venturi device is shown. Detailed Implementation

[0046] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0047] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0048] The first aspect of this invention provides an in-situ soil remediation device equipped with a Venturi device, comprising: a jet grouting drill rig 9, a Venturi device, a grouting pipe, an ozone generator, a remediation agent storage system, and a delivery system.

[0049] The Venturi device includes a converging section, a throat, and a diverging section. An air inlet is provided in the throat. When the fluid enters the Venturi device, it first passes through the converging section, where the fluid velocity gradually increases and the pressure gradually decreases. In the throat, the fluid velocity reaches its maximum and the pressure drops to its minimum.

[0050] The Venturi unit is connected to the ozone generator, the remedial agent storage system, and the delivery system via connecting pipes.

[0051] Furthermore, in in-situ soil remediation equipment equipped with a venturi device, the air inlet is connected to the ozone generator using a flexible or rigid tube made of corrosion-resistant material, and the connection is sealed with a sealing ring or sealant.

[0052] Furthermore, in in-situ soil remediation equipment equipped with a Venturi device, the outlet of the Venturi device is connected to the inlet of the grouting pipe via a flange or thread.

[0053] Furthermore, in in-situ soil remediation equipment equipped with a Venturi device, the remediation agent storage system and delivery system are connected using high-pressure hoses or rigid pipes, and the connections are sealed with sealing rings or sealant.

[0054] like Figures 1 to 2As shown, the device mainly includes a Venturi apparatus, a grouting pipe (drill rod), an ozone generator, and a remediation agent storage and delivery system. The Venturi apparatus itself consists of three main parts: a converging section 15, a throat 15, a diverging section 16, an inlet pipe 13, and an outlet pipe 17. When fluid enters the Venturi apparatus, it first passes through the converging section, where the fluid velocity gradually increases and the pressure gradually decreases. The converging section is 200mm long, has an inlet diameter of 30mm, and an outlet diameter (throat inlet) of 15mm. At the throat, the fluid velocity reaches its maximum, and the pressure drops to its minimum. The throat is a crucial part of the Venturi apparatus; an inlet is typically located here to introduce gas (such as ozone). The throat is 100mm long and has a diameter of 10mm. After passing through the throat, the fluid enters the diverging section, where the velocity gradually decreases and the pressure gradually recovers. The diverging section is 300mm long, has an inlet diameter (throat outlet) of 15mm, and an outlet diameter of 30mm. The air inlet, located at the throat, is used to introduce ozone. Connecting pipes connect the Venturi unit to the ozone generator and the remediation agent storage and delivery system. Seals ensure all connections are airtight, preventing gas and liquid leaks. The air inlet connects to the ozone generator using corrosion-resistant flexible or rigid tubing, ensuring smooth ozone entry into the Venturi unit; connections are sealed with sealing rings or sealant to prevent gas leaks. The Venturi unit outlet connects to the grouting pipe inlet via flanges or threads, ensuring a secure connection. Connections are sealed with gaskets or sealant to prevent liquid leaks. The remediation agent storage and delivery system uses high-pressure flexible or rigid tubing to ensure smooth remediation agent entry into the Venturi unit. Connections are sealed with sealing rings or sealant to prevent liquid leaks.

[0055] Before using this device for contaminated site remediation, a detailed site survey is necessary to determine the type and degree of soil contamination, soil structure, and groundwater level. Based on the survey results, appropriate remediation agents and ozone supply are selected, and the device's parameters, such as injection pressure and flow rate, are adjusted accordingly.

[0056] The drilling equipment is started, and the grouting pipe 12 is drilled into the soil to a predetermined depth. The repair agent storage and delivery system 1 is activated, and the high-pressure pump 8 is used to extract the repair agent from the storage tank and deliver it to the Venturi device 10 through the connecting pipeline. The pressure and flow rate of the high-pressure pump 8 are regulated by the control system to ensure stable delivery of the repair agent. The repair agent storage system 7 and delivery system 4 deliver the repair agent to the convergence section 14 of the Venturi device 10 through the connecting pipeline. The repair agent accelerates its flow within the Venturi device 10, creating a negative pressure environment. Simultaneously, the ozone generator 11 is activated, driven by electricity, to generate ozone. The ozone generated by the ozone generator 11 enters the throat of the Venturi device through the connecting pipeline. Under the negative pressure, the ozone is drawn into the Venturi device 10 and fully mixes with the repair agent to form a mixture containing a large number of microbubbles. The mixture enters the grouting pipe 12 through the divergence section of the Venturi device. The grouting pipe is driven by drilling equipment to enter the predetermined depth of the soil layer. The grouting pipe injects the mixture at high pressure to the predetermined depth of the soil layer, and at the same time, the grouting pipe is lifted upwards. The high-pressure liquid flow cuts and mixes the soil, allowing the ozone to fully contact the polluted soil and oxidize and decompose the pollutants.

[0057] During the restoration process, a control system is used to monitor parameters such as injection pressure, chemical flow rate, and ozone concentration in real time. Based on the monitoring results, the injection pressure and flow rate of the restoration agent, as well as the amount of ozone injected, are adjusted in a timely manner to ensure the stability and efficiency of the restoration process.

[0058] The remediated soil will be tested to assess its effectiveness. If the remediation does not meet expectations, the remediation plan can be adjusted and a second remediation can be carried out based on the actual situation.

[0059] In summary, existing high-pressure jet grouting remediation technology has advantages such as short treatment cycle and low cost. However, the mixing of remediation materials with soil may be uneven, affecting the remediation effect. Furthermore, existing chemical remediation agents may cause secondary pollution to the soil. Ozone, on the other hand, decomposes to generate oxygen, leaving no residue and avoiding secondary pollution. Ozone has low solubility in water, making direct in-situ ozone remediation of soil ineffective and prone to volatilization into the air. This invention, by introducing a Venturi device, can better dissolve ozone in the remediation agent, forming microbubbles, thereby improving the contact efficiency between ozone and pollutants and significantly enhancing the remediation effect. Simultaneously, the ozone decomposes to generate oxygen, leaving no residue and avoiding the problem of secondary pollution to the soil by chemical agents. In addition, the device is easy to operate and suitable for various soil conditions.

[0060] A second aspect of the present invention provides a control method for in-situ soil remediation equipment equipped with a Venturi device, applicable to any of the in-situ soil remediation equipment equipped with a Venturi device, comprising the following steps:

[0061] Acquire pollution data and soil characteristic data of the current soil area to be remediated, and initialize the working parameter data and deployment location of the in-situ soil remediation equipment equipped with the Venturi device;

[0062] The ozone diffusion path was simulated based on the working parameter data of the in-situ soil remediation equipment equipped with a Venturi device, the pollution data of the current soil area to be remediated, and the soil characteristic data.

[0063] The diffusion path of ozone in the soil during the remediation process is obtained through simulation, and the remediation status of the soil area to be remediated is estimated based on the diffusion path of ozone in the soil during the remediation process.

[0064] The placement of Venturi devices is optimized using a whale algorithm based on the current remediation status of the soil area to be remediated.

[0065] It should be noted that this method uses digital twin technology to simulate the ozone remediation process by combining pollution data and soil characteristic data of the current soil area to be remediated. This allows for dynamic simulation of the remediation process, and the placement and operating parameters of the in-situ soil remediation equipment equipped with the Venturi device can be adjusted based on the results of the dynamic simulation, thereby improving the actual effect of ozone remediation.

[0066] Furthermore, in the control method of in-situ soil remediation equipment equipped with a Venturi device, pollution data information and soil characteristic data information of the current soil area to be remediated are acquired, specifically including:

[0067] By deploying sensors in the soil area to be remediated, the pollution concentration data and pollution type data of each sub-area in the soil area to be remediated are obtained within a preset time. Soil surveys are also conducted in the soil area to be remediated to determine soil structure data, groundwater level data, and soil type data.

[0068] Soil characteristic data information is constructed based on soil structure data, groundwater level data, and soil type data;

[0069] By aligning the pollution concentration data of each time point in the pollution concentration data of each sub-region within a preset time period in the soil to be remediated area, the aligned pollution concentration dataset of each sub-region at each time point is obtained.

[0070] The pollution concentration data of each sub-region at the current time point is obtained by aligning the pollution concentration dataset of each sub-region at each time point, and used as the pollution data information of the current soil area to be remediated.

[0071] It should be noted that this method can align the pollution concentration data of each time point in the pollution concentration data of each sub-region within a preset time period in the soil to be remediated area, thereby obtaining the pollution concentration data at each time point and forming an aligned pollution concentration dataset of each sub-region at each time point, ensuring the accuracy of the data.

[0072] Furthermore, in the control method for in-situ soil remediation equipment equipped with a Venturi device, the initialization of the operating parameter data and placement location of the in-situ soil remediation equipment equipped with the Venturi device specifically includes:

[0073] By acquiring historical optimal ozone working parameters under various pollution data through big data, and constructing a soil remediation knowledge graph, the historical optimal ozone working parameters under various pollution data are input into the soil remediation knowledge graph for storage.

[0074] Obtain pollution data information for each sub-region of the current soil area to be remediated, and extract the maximum pollution concentration data information from the pollution data information of each sub-region of the current soil area to be remediated;

[0075] The maximum pollution concentration data is input into the soil remediation knowledge graph for data matching to obtain the optimal ozone working parameter data for the current soil area to be remediated.

[0076] The operating parameters and injection placement locations of the in-situ soil remediation equipment equipped with the Venturi device are initialized based on the optimal ozone operating parameters in the current soil area to be remediated.

[0077] It should be noted that during pollution remediation, a lower ozone delivery rate per unit area will reduce the efficiency of the remediation process, while a higher ozone delivery rate may lead to pollution or pose health risks to operators. Therefore, different pollution types and concentrations have different aligned pollution concentration datasets for each sub-region at each time stamp. This method can obtain the optimal ozone operating parameters for the current soil area to be remediated, thereby initializing the operating parameters and injection placement of the in-situ soil remediation equipment equipped with a Venturi device.

[0078] Furthermore, in the control method of the in-situ soil remediation equipment equipped with a Venturi device, the ozone diffusion path is simulated based on the operating parameter data of the in-situ soil remediation equipment equipped with the Venturi device, the pollution data information of the current soil area to be remediated, and the soil characteristic data information. Specifically:

[0079] To obtain soil remediation rate information and agent spraying angle under different working parameter data of in-situ soil remediation equipment equipped with venturi devices;

[0080] Real-time soil remediation rate information is obtained based on the working parameter data of different in-situ soil remediation equipment equipped with Venturi devices and the working parameter data of the current in-situ soil remediation equipment equipped with Venturi devices.

[0081] Based on real-time soil remediation rate information and the angle of agent spraying, combined with pollution data and soil characteristic data of the current soil area to be remediated, the remediation process is dynamically simulated.

[0082] Through dynamic simulation, the regions traversed by ozone at each timestamp are obtained, and the regions traversed by ozone at each timestamp are connected.

[0083] It should be noted that due to the influence of soil structural data, such as soil permeability, soil ozone adhesion, and soil moisture, real-time soil remediation rate information will vary, leading to differences in ozone diffusion paths. To address this, software such as Fluent, Fluidyn-Ventex, and LAMMPS can be used to dynamically simulate the remediation process by combining real-time soil remediation rate information, agent spraying angle, and pollution data of the current soil area to be remediated, as well as soil characteristic data. This allows for the acquisition of the areas traversed by ozone at each time point, and connecting these areas forms the ozone diffusion path. The operating parameters of the in-situ soil remediation equipment include fluid flow rate data per unit time and the mass of ozone input per unit time.

[0084] Furthermore, in the control method of in-situ soil remediation equipment equipped with a Venturi device, the remediation status of the soil area to be remediated is predicted based on the ozone diffusion path during the remediation process, specifically including:

[0085] Obtain the extreme location data of the current contaminated location in the three-dimensional space of the soil area to be remediated, and construct a real-time contamination model map based on the extreme location data of the current contaminated location in the three-dimensional space of the soil area to be remediated;

[0086] The coverage area of ​​pollution remediation is calculated by analyzing the real-time pollution model map and the ozone diffusion path in the soil during the remediation process. A coverage area threshold is set to determine whether the coverage area of ​​pollution remediation is greater than the coverage area threshold.

[0087] When the coverage area of ​​pollution remediation is greater than the coverage area threshold, simulation information for normal remediation is generated; when the coverage area of ​​pollution remediation is not greater than the coverage area threshold, simulation information for abnormal remediation is generated.

[0088] The current restoration status of the soil area to be restored is generated based on the simulation information of normal restoration or abnormal restoration, and the restoration status of the current soil area to be restored is output.

[0089] It should be noted that by using 3D software to calculate the coverage area of ​​pollution remediation from real-time pollution model maps and the ozone diffusion path in the soil during the remediation process, the ozone remediation process can be visualized, predicted, and the remediation effect evaluated.

[0090] Furthermore, in the control method of in-situ soil remediation equipment equipped with Venturi devices, the placement of the Venturi devices is optimized using a whale algorithm based on the current remediation status of the soil area to be remediated. Specifically:

[0091] When the remediation status of the current soil area to be remediated is abnormal, the whale algorithm is introduced and a search space is initialized to obtain a real-time pollution model map. Each location point in the real-time pollution model map is regarded as a whale exploring in the ocean.

[0092] The initial positions of each whale are randomly distributed in the search space. The number of whales is initialized. The foraging behavior of each whale is initialized based on the number of whales. The quality of each whale is evaluated.

[0093] A fitness function is introduced to evaluate the effectiveness of whale predation. The fitness of each whale is calculated and the whale position is updated. The fitness values ​​of the old and new positions are compared to determine whether to accept the new position. Whales that accept the new position are placed into the local high-quality solution set.

[0094] When the whale attaches to the "shark", the spiral update mechanism in the whale algorithm is used to perform a more refined search on the local high-quality solution set, obtain several placement points from the local high-quality solution set, and select the optimal placement position for installing the Venturi device from the placement points for configuration optimization.

[0095] It should be noted that the whale algorithm can obtain several placement points from the local high-quality solution set, and select the optimal placement position of the Venturi device from the placement points for configuration optimization, thereby further improving the effect of ozone remediation of soil.

[0096] In addition, several placement points are obtained from the local high-quality solution set, and the optimal placement location for installing the Venturi device is selected from these placement points for configuration optimization. This also includes:

[0097] Estimate the soil remediation agent coverage area at each deployment site, and estimate the required amount of soil remediation agent based on the soil remediation agent coverage area at each deployment site.

[0098] Construct a sorting table of agent usage quantities, input the required soil remediation agent quantity data into the sorting table, and obtain the sorted agent usage quantity sorting table;

[0099] Obtain the minimum soil remediation agent quantity data from the sorted agent usage quantity ranking table, and obtain the deployment point corresponding to the minimum soil remediation agent quantity data.

[0100] The placement points corresponding to the minimum soil remediation agent quantity data are used as the optimal placement locations for installing Venturi devices for configuration optimization.

[0101] It should be noted that this method can further improve the rationality of the placement of monitoring points.

[0102] In this first example: the soil at a gas station site was contaminated with petroleum hydrocarbons, with a contaminated area of ​​approximately 800m². 2 The average pollution concentration was 5500 mg / kg, the soil type was sandy loam with a permeability coefficient of 0.5 cm / s, and the groundwater level was 1.5 m deep. The device was fixed on the contaminated soil.

[0103] The Venturi device has a converging section length of 250mm, an inlet diameter of 35mm, and an outlet diameter of 18mm; a throat length of 120mm and a diameter of 12mm; and an inlet section length of 350mm, an inlet diameter of 18mm, and an outlet diameter of 35mm, which is connected to the ozone generator via a corrosion-resistant rigid pipe.

[0104] The ozone generator has a rated output of 800 g / h and an ozone concentration of 120 mg / L. The remediation agent uses Fe... 2+ A catalytic persulfate solution (8% concentration) is mixed with ozone to form a composite oxidation system.

[0105] The grouting pipe has a diameter of 60mm, a jetting pressure of 25MPa, and a rotational lifting speed of 15cm / min.

[0106] Simultaneously, soil sensors were used to obtain data on pollution concentrations up to 2000 mg / kg, soil moisture content of 18%, and permeability coefficient of 0.45 cm / s in each sub-region.

[0107] Based on the soil remediation knowledge graph matching parameters, the ozone injection rate is 500g / h, the agent spraying angle is 45°, the inlet flow velocity of the Venturi device is 20m / s, and three rotary jet grouting rigs are initially arranged in a triangular array with a spacing of 3.5m.

[0108] The diffusion process was simulated using COMSOL software: the real-time remediation rate was 0.25 mg / (kg·min), and the ozone diffusion coefficient in sandy loam was 0.2 cm2 / s. Dynamic simulation showed that the ozone diffusion radius reached 3.2 m within 24 hours, but the edge coverage of the pollution plume was insufficient. A three-dimensional pollution model was constructed, and the coverage area threshold was set at 85%.

[0109] Initial simulation results: 72% of the contamination remediation coverage area is less than the threshold of 85%, triggering optimization using the Whale Algorithm.

[0110] Optimization process: The search space was set to 60m×60m, and 30 whales were initialized. The fitness function was "coverage speed - reagent cost". After 30 iterations, the optimal solution was: add 1 rotary jet grouting rig, adjust the spacing to 3m, and form a dense triangular array. After optimization, the simulated coverage area reached 88%, which met the threshold requirement.

[0111] After the remediation was completed, the concentration of petroleum hydrocarbons dropped to below 367 mg / kg, the removal rate of the target pollutants reached 93.3%, the residual ozone in the soil decomposed into oxygen at a concentration of <3 mg / L, and there was no risk of reagent migration in groundwater monitoring.

[0112] Compared with traditional processes, the implementation effect is improved by 55%, the diffusion speed is fast in highly permeable soil, the treatment cycle is shortened to 2 days, the amount of reagent used is reduced by 30%, the energy consumption is reduced by 18%, the ozone diffusion is uniform in sandy loam soil, and the combined compound reagent system has a significant effect on the removal of recalcitrant petroleum hydrocarbons.

[0113] Soil type compatibility instructions. Sandy loam soils are characterized by high porosity and strong permeability, making them prone to chemical short-circuiting and loss during traditional remediation methods. This device utilizes Venturi microbubble technology to enhance the stability of ozone in water, combined with the cutting and stirring action of high-pressure rotary jetting, effectively overcoming the problem of uneven remediation caused by differences in soil permeability.

[0114] Parameter adjustment logic: Increase injection pressure and flow rate to enhance disturbance and mixing of sandy soil, increase reagent concentration and ozone injection amount to match high pollution load and rapid diffusion requirements, and increase pile spacing to compensate for ozone diffusion loss caused by high permeability.

[0115] In addition, this method also includes:

[0116] The microscopic reaction mechanism between ozone and soil pollutants was simulated using quantum computing, and a quantum chemical model was constructed based on the microscopic reaction mechanism between ozone and soil pollutants. Based on the quantum chemical model, the energy changes and intermediate product generation pathways of ozone decomposition of soil pollutants were simulated.

[0117] Based on the energy changes and intermediate product formation pathways of ozone decomposition of soil pollutants, catalyst retrieval was performed using big data to obtain several catalyst types, and the catalytic efficiency information of each catalyst type was statistically analyzed.

[0118] Set a catalytic efficiency threshold, and determine whether there is a catalyst with a catalytic efficiency greater than the catalytic efficiency threshold in the catalytic efficiency information of each catalyst type;

[0119] When there are catalysts with catalytic efficiency information greater than the catalytic efficiency threshold in the catalytic efficiency information of the catalyst type, calculate the catalytic cost data of the same number of catalysts, and select the catalyst type with the lowest catalytic cost as the recommended catalyst.

[0120] If there is a catalyst with a catalytic efficiency greater than the catalytic efficiency threshold in the catalytic efficiency information of the non-existent catalyst type, then the catalyst type corresponding to the maximum catalytic efficiency information is selected as the recommended catalyst.

[0121] It should be noted that by simulating the energy changes and intermediate product formation pathways of ozone decomposition of soil pollutants using quantum chemical models, and then selecting catalysts based on these pathways, the remediation effect of soil can be further improved.

[0122] 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 illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0123] The units described above as separate components may or may not be physically separate. The components shown 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 to achieve the purpose of this embodiment according to actual needs.

[0124] In addition, in the various embodiments of the present invention, each functional unit can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0125] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0126] Alternatively, if the integrated units of this invention are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

[0127] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A control method for in-situ soil remediation equipment equipped with a Venturi device, characterized in that, Includes the following steps: Acquire pollution data and soil characteristic data of the current soil area to be remediated, and initialize the working parameter data and deployment location of the in-situ soil remediation equipment equipped with the Venturi device; The ozone diffusion path is simulated based on the working parameter data of the in-situ soil remediation equipment equipped with the Venturi device, the pollution data information of the current soil area to be remediated, and the soil characteristic data information. The diffusion path of ozone in the soil during the remediation process is obtained through simulation, and the remediation status of the current soil area to be remediated is estimated based on the diffusion path of ozone in the soil during the remediation process. Based on the current remediation status of the soil area to be remediated, the placement of the Venturi devices is optimized using the whale algorithm. The in-situ soil remediation equipment equipped with a Venturi device includes: a Venturi device, a grouting pipe, an ozone generator, a remediation agent storage system, and a delivery system, characterized in that... The Venturi device includes a converging section, a throat, and a diverging section. An air inlet is provided in the throat. When the fluid enters the Venturi device, it first passes through the converging section, where the fluid velocity gradually increases and the pressure gradually decreases. In the throat, the fluid velocity reaches its maximum and the pressure drops to its minimum. The Venturi device is connected to an ozone generator, a remedial agent storage system, and a delivery system via connecting pipes.

2. The control method for an in-situ soil remediation device equipped with a Venturi device according to claim 1, characterized in that, The air inlet is connected to the ozone generator using a flexible or rigid tube made of corrosion-resistant material, and the connection is sealed with a sealing ring or sealant.

3. The control method for an in-situ soil remediation device equipped with a Venturi device according to claim 1, characterized in that, The outlet of the venturi device is connected to the inlet of the grouting pipe via a flange or thread.

4. The control method for an in-situ soil remediation device equipped with a Venturi device according to claim 1, characterized in that, The repair agent storage and delivery system uses high-pressure hoses or rigid pipes for connection, and the connection is sealed with sealing rings or sealant.

5. The control method for an in-situ soil remediation device equipped with a Venturi device according to claim 1, characterized in that, Obtain pollution data and soil characteristic data for the current soil area to be remediated, specifically including: By deploying sensors in the soil area to be remediated, the pollution concentration data and pollution type data of each sub-area in the soil area to be remediated are obtained within a preset time. Soil surveys are also conducted in the soil area to be remediated to determine soil structure data, groundwater level data, and soil type data. Based on the soil structure data, groundwater level data, and soil type data, soil characteristic data information is constructed. By aligning the pollution concentration data of each time point in the pollution concentration data of each sub-region within a preset time period in the soil to be remediated area, the aligned pollution concentration dataset of each sub-region at each time point is obtained. The pollution concentration data of each sub-region at the current time point is obtained by aligning the pollution concentration dataset of each sub-region at each time point, and used as the pollution data information of the current soil area to be remediated.

6. The control method for an in-situ soil remediation device equipped with a Venturi device according to claim 1, characterized in that, Initialize the working parameter data and layout location of the in-situ soil remediation equipment equipped with the Venturi device, specifically including: By acquiring historical optimal ozone working parameters under various pollution data through big data, and constructing a soil remediation knowledge graph, the historical optimal ozone working parameters under various pollution data are input into the soil remediation knowledge graph for storage. Obtain pollution data information for each sub-region of the current soil area to be remediated, and obtain maximum pollution concentration data information from the pollution data information of each sub-region of the current soil area to be remediated; The maximum pollution concentration data is input into the soil remediation knowledge graph for data matching to obtain the optimal ozone working parameter data for the current soil area to be remediated. The operating parameter data and injection placement location of the in-situ soil remediation equipment equipped with the Venturi device are initialized based on the optimal ozone operating parameter data in the current soil area to be remediated.

7. The control method for an in-situ soil remediation device equipped with a Venturi device according to claim 1, characterized in that, Based on the operating parameter data of the in-situ soil remediation equipment equipped with the Venturi device, the pollution data of the current soil area to be remediated, and the soil characteristic data, the ozone diffusion path is simulated, specifically as follows: To obtain soil remediation rate information and agent spraying angle under different working parameter data of in-situ soil remediation equipment equipped with venturi devices; Real-time soil remediation rate information is obtained based on the working parameter data of in-situ soil remediation equipment with different Venturi devices and the working parameter data of the current in-situ soil remediation equipment with Venturi devices. Based on the real-time soil remediation rate information and the angle of agent spraying, combined with the pollution data information of the current soil area to be remediated and the soil characteristic data information, the remediation process is dynamically simulated. Through dynamic simulation, the regions traversed by ozone at each timestamp are obtained, and the regions traversed by ozone at each timestamp are connected.

8. The control method for an in-situ soil remediation device equipped with a Venturi device according to claim 1, characterized in that, Based on the ozone diffusion path during the soil remediation process, the remediation status of the current soil area to be remediated is estimated, specifically including: Obtain the extreme position data of the current contaminated location in the three-dimensional space of the soil area to be remediated, and construct a real-time contamination model map based on the extreme position data of the current contaminated location in the three-dimensional space of the soil area to be remediated; The pollution remediation coverage area is calculated by analyzing the real-time pollution model diagram and the ozone diffusion path in the soil during the remediation process. A coverage area threshold is set, and it is determined whether the pollution remediation coverage area is greater than the coverage area threshold. When the coverage area of ​​the pollution remediation is greater than the coverage area threshold, simulation information for normal remediation is generated; when the coverage area of ​​the pollution remediation is not greater than the coverage area threshold, simulation information for abnormal remediation is generated. The current restoration status of the soil area to be restored is generated based on the simulation information of normal restoration or abnormal restoration, and the restoration status of the current soil area to be restored is output.

9. The control method for an in-situ soil remediation device equipped with a Venturi device according to claim 1, characterized in that, Based on the current remediation status of the soil area to be remediated, the placement of the Venturi devices is optimized using the whale algorithm, specifically as follows: When the remediation status of the current soil area to be remediated is abnormal, the whale algorithm is introduced and a search space is initialized to obtain a real-time pollution model map. Each location point in the real-time pollution model map is regarded as a whale exploring in the ocean. The initial positions of each whale are randomly distributed in the search space, the number of whales is initialized, the foraging of each whale is initialized based on the number of whales, and the quality of each whale is evaluated. A fitness function is introduced to evaluate the effectiveness of whale predation. The fitness of each whale is calculated and the whale position is updated. The fitness values ​​of the old and new positions are compared to determine whether to accept the new position. Whales that accept the new position are placed into the local high-quality solution set. When the whale attaches to the "shark", the spiral update mechanism in the whale algorithm is used to perform a more refined search on the local high-quality solution set, obtain several placement points from the local high-quality solution set, and select the optimal placement position for installing the Venturi device from the placement points for configuration optimization.

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