In-situ soil remediation equipment additionally provided with Venturi device

Abstract

The invention relates to in-situ soil remediation equipment additionally provided with a venturi device, and belongs to the technical field of soil remediation, the in-situ soil remediation equipment comprises the venturi device, an ozone generator and a conveying system, the venturi device comprises a convergence section, a throat part and a divergence section, an air inlet is formed in the throat part, and when fluid enters the venturi device, the fluid passes through the convergence section and flows into the venturi device; the speed of the fluid is gradually increased, the pressure is gradually reduced, in the throat part, the speed of the fluid reaches the maximum, the pressure is reduced to the minimum, and the Venturi device is connected with an ozone generator, a repairing agent storage system and a conveying system through connecting pipelines. By introducing the Venturi device, ozone can be better dissolved in a remediation agent to form microbubbles, so that the contact efficiency of ozone and pollutants is improved, the remediation effect is remarkably improved, oxygen is generated after ozone decomposition, no residue exists, and the problem of secondary pollution of chemical agents to soil is solved. In addition, the device is easy and convenient to operate and suitable for various soil layer conditions.

Description

Technical Field

[0001] The present invention relates to the technical field of soil remediation, and in particular to an in-situ soil remediation equipment equipped with a Venturi device. Background Art

[0002] High-pressure rotary jetting, as a method of applying chemicals, is an innovation of foundation reinforcement and pile foundation construction technology in the field of geological engineering. In the field of soil remediation, it is often used in combination with chemical oxidation remediation technology. It has the advantages of a wide range of applicable soil layers, controllable remediation depth, and adjustable injection pressure, and is favored by many scholars at home and abroad. High-pressure rotary jetting is used in the remediation of contaminated sites. It mainly uses a grouting pipe (drill rod) with a special nozzle to enter the predetermined depth of the soil layer through a borehole, and then sprays the prepared chemical from the nozzle. The grouting pipe with a nozzle is lifted upward while spraying, and the high-pressure liquid flow cuts and stirs the soil, so that the oxidizing agent is fully mixed with the contaminated soil, oxidizing and decomposing pollutants to eliminate health risks. After the injection is completed, the chemical solution further migrates and diffuses in the aquifer, and its final chemical diffusion radius is related to the soil permeability and construction period. However, the existing high-pressure rotary jetting remediation technology has problems such as uneven mixing of remediation materials and soil, excessive addition of chemical agents causing secondary pollution, and poor direct ozone remediation effect. Summary of the Invention

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

[0004] In order to achieve the above object, the technical solution adopted by the present invention is:

[0005] The first aspect of the present invention provides an in-situ soil remediation equipment 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 convergent section, a throat, and a divergent section, wherein an air inlet is provided in the throat. When a fluid enters the venturi device, it first passes through the convergent 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 the ozone generator, the repair agent storage system and the delivery system through a connecting pipe.

[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 hose or a hard pipe, the hose or hard pipe is 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 through a flange or a thread.

[0010] Furthermore, in the in-situ soil remediation equipment equipped with a Venturi device, the remediation agent storage system and the delivery system are connected using a high-pressure hose or a hard pipe, and the connection is sealed using 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, which is applied to any of the in-situ soil remediation equipment equipped with a Venturi device, comprising the following steps:

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

[0013] Simulating the diffusion path of ozone 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 characteristic data information of the soil;

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

[0015] The arrangement position of the additional Venturi device is optimized by the whale algorithm according to the restoration status of the current soil area to be restored.

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

[0017] By arranging sensors in the soil area to be remediated, the sensors obtain pollution concentration data and pollution type data information of each sub-area in the soil area to be remediated within a preset time, and conduct soil survey in the soil area to be remediated to determine soil structure data, groundwater level data and soil type data;

[0018] Constructing soil characteristic data information based on the soil structure data, groundwater level data, and soil type data;

[0019] By aligning the pollution concentration data information of each time stamp in the pollution concentration data information of each sub-area within a preset time in the soil area to be remediated, the pollution concentration data set of each sub-area at each time stamp after alignment is obtained;

[0020] The pollution concentration data information of each sub-region at the current time stamp is obtained through the aligned pollution concentration data sets of each sub-region at each time stamp, and is used as the pollution data information of the current soil area to be remediated.

[0021] Furthermore, in the control method of the in-situ soil remediation equipment equipped with a Venturi device, initializing the working parameter data and the arrangement position of the in-situ soil remediation equipment equipped with the Venturi device specifically includes:

[0022] Obtain historical optimal ozone operating parameter data under each pollution data through big data, and construct a soil remediation knowledge graph, and input the historical optimal ozone operating parameter data under each pollution data into the soil remediation knowledge graph for storage;

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

[0024] Inputting the maximum pollution concentration data information into the soil remediation knowledge graph for data matching to obtain the optimal ozone working parameter data in the current soil area to be remediated;

[0025] The working parameter data and injection arrangement position of the in-situ soil remediation equipment equipped with a Venturi device are initialized according to the optimal ozone working parameter data in the current soil area to be remediated.

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

[0027] Obtain soil remediation rate information and agent injection angle under different operating parameter data of in-situ soil remediation equipment equipped with Venturi devices;

[0028] Acquiring real-time soil remediation rate information based on the soil remediation rate information under the working parameter data of the in-situ soil remediation equipment with different Venturi devices installed and the working parameter data of the in-situ soil remediation equipment currently equipped with the Venturi device;

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

[0030] Through dynamic simulation, the area passed by the ozone in each time stamp is obtained, and the areas passed by the ozone in each time stamp are connected.

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

[0032] Obtaining extreme position data information of the contaminated position of the current soil area to be repaired in three-dimensional space, and constructing a real-time pollution model diagram based on the extreme position data information of the contaminated position of the current soil area to be repaired in three-dimensional space;

[0033] The coverage area of ​​the pollution remediation is calculated based on the real-time pollution model map and the diffusion path of ozone in the soil during the remediation process, a coverage area threshold is set, and it is determined whether the coverage area of ​​the pollution remediation is greater than the coverage area threshold;

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

[0035] The restoration status of the current soil area to be restored is generated according to the simulation information of normal restoration or the simulation information of 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 arrangement position of the Venturi device is optimized by the whale algorithm according to the remediation status of the current soil area to be remediated, specifically:

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

[0038] Randomly distributing the initial position of each whale in the search space, initializing the number of whales, initializing the foraging of each whale based on the number of whales, and evaluating the quality of each whale;

[0039] The fitness function is introduced to evaluate the effect of whale hunting, the fitness of each whale is calculated and the whale position is updated. The fitness value of the new and old positions is compared to decide whether to accept the new position. The whale that accepts the new position is placed in the local high-quality solution set.

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

[0041] The present invention solves the defects existing in the background technology and has the following beneficial effects:

[0042] Existing high-pressure rotary jet injection remediation technology has the advantages of short disposal cycle and low cost, but its remediation materials may not mix evenly with the soil, affecting the remediation effect, and existing chemical remediation may cause secondary pollution to the soil. Ozone generates oxygen after decomposition, leaving no residue and no secondary pollution. Ozone has low solubility in water, and the direct use of ozone for in-situ remediation of soil is not effective and easily evaporates into the air. The present invention, by introducing a Venturi device, can better dissolve ozone in the remediation agent to form microbubbles, thereby increasing the contact efficiency between ozone and pollutants and significantly improving the remediation effect. At the same time, ozone generates oxygen after decomposition, leaving no residue, avoiding the problem of secondary pollution of the soil by chemical agents. In addition, the device is easy to operate and suitable for a variety of soil conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] 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.

[0044] Figure 1 Shows the overall structural diagram of the in-situ soil remediation equipment equipped with a Venturi device;

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

[0046] 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.

[0047] 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.

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

[0049] The Venturi device consists of a convergent section, a throat, and a divergent section. The throat is provided with an air inlet. When a fluid enters the Venturi device, it first passes through the convergent 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 device is connected to the ozone generator, the repair agent storage system and the delivery system through connecting pipes.

[0051] Furthermore, in the in-situ soil remediation equipment equipped with a Venturi device, the air inlet and the ozone generator are connected using a hose or a hard pipe. The hose or the hard pipe is made of corrosion-resistant material, and the connection is sealed with a sealing ring or sealant.

[0052] 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 through a flange or a thread.

[0053] Furthermore, in the in-situ soil remediation equipment equipped with a Venturi device, the remediation agent storage system and the delivery system are connected using a high-pressure hose or a hard pipe, and the connection is sealed using a sealing ring or a sealant.

[0054] like Figures 1 to 2As shown, the device mainly includes a Venturi device, a grouting pipe (drill pipe), an ozone generator, and a repair agent storage and delivery system. The Venturi device mainly consists of three parts: a convergent section 15, a throat 16, a divergent section 16, an inlet pipe 13, and an outlet pipe 17. When the fluid enters the Venturi device, it first passes through the convergent section, where the fluid velocity gradually increases and the pressure gradually decreases. The convergent section is 200 mm long, with an inlet diameter of 30 mm and an outlet diameter (throat inlet) of 15 mm. In the throat, the fluid velocity reaches its maximum and the pressure drops to its minimum. The throat is a key part of the Venturi device. An air inlet is usually provided here for introducing gas (such as ozone). The throat is 100 mm long and has a diameter of 10 mm. After passing through the throat, the fluid in the throat enters the divergent section, where the velocity gradually slows and the pressure gradually recovers. The divergent section is 300 mm long, with an inlet diameter (throat outlet) of 15 mm and an outlet diameter of 30 mm. The air inlet is located at the throat and is used to introduce ozone. The connecting pipe is used to connect the Venturi device with the ozone generator and the repair agent storage and delivery system. Seals ensure that each connection is sealed to prevent gas and liquid leakage. The air inlet and the ozone generator are connected with a corrosion-resistant hose or hard pipe to ensure that ozone can smoothly enter the Venturi device. The connection is sealed with a sealing ring or sealant to prevent gas leakage. The outlet of the Venturi device and the inlet of the grouting pipe are connected by a flange or thread to ensure that the connection is firm. The connection is sealed with a sealing gasket or sealant to prevent liquid leakage. The repair agent storage and delivery system is connected with a high-pressure hose or hard pipe to ensure that the repair agent can smoothly enter the Venturi device. The connection is sealed with a sealing ring or sealant to prevent liquid leakage.

[0055] Before using this device to remediate a contaminated site, a detailed survey of the site is required to determine the type and extent of soil contamination, soil structure, and groundwater level. Based on the survey results, the appropriate remediation agent and ozone supply are selected, and various device parameters such as injection pressure and flow rate are adjusted.

[0056] The drilling equipment is started, and the grouting pipe 12 is inserted through the drilled hole into the soil layer to a predetermined depth. The repair agent storage and delivery system 1 is activated, and the high-pressure pump 8 is used to pump the repair agent from the storage tank and deliver it to the Venturi device 10 via a connecting pipe. The pressure and flow rate of the high-pressure pump 8 are regulated by a control system to ensure stable delivery of the repair agent. The repair agent storage system 7 and delivery system 4 deliver the repair agent via a connecting pipe to the convergent section 14 of the Venturi device 10. The repair agent accelerates its flow within the Venturi device 10, creating a negative pressure environment. Simultaneously, the ozone generator 11 is activated and driven by a power source to generate ozone. The ozone generated by the ozone generator 11 enters the throat of the Venturi device through a connecting pipe. Under the influence of the negative pressure, the ozone is drawn into the Venturi device 10 and thoroughly mixed with the repair agent, forming a mixed liquid containing a large number of microbubbles. Under the negative pressure of the Venturi device, the ozone mixes with the repair agent to form a mixed liquid containing microbubbles. The mixed liquid flows through the diverging section of the Venturi device and into the grouting pipe 12. Driven by drilling equipment, the grouting pipe is driven into the soil layer to a predetermined depth. The grouting pipe sprays the mixed liquid at high pressure to the predetermined depth. Simultaneously, the grouting pipe is lifted upward, and the high-pressure liquid flow cuts and stirs the soil, allowing ozone to fully contact the contaminated soil and oxidize and decompose the pollutants.

[0057] During the repair process, the control system monitors the injection pressure, agent flow rate, ozone concentration and other parameters in real time. Based on the monitoring results, the injection pressure and flow rate of the repair agent and the injection amount of ozone are adjusted in a timely manner to ensure the stability and efficiency of the repair process.

[0058] The repaired soil is tested to evaluate the repair effect. If the repair effect does not meet expectations, the repair plan can be adjusted according to the actual situation and a second repair can be carried out.

[0059] In summary, the existing high-pressure rotary jet injection repair technology has the advantages of short disposal cycle and low cost, but its repair material may not be mixed evenly with the soil, affecting the repair effect, and the existing chemical agent repair may cause secondary pollution to the soil, while ozone generates oxygen after decomposition, without residue, and will not cause secondary pollution. The solubility of ozone in water is not high, and the direct use of ozone in situ to repair the soil is not effective and is easily volatilized into the air. The present invention introduces a Venturi device to better dissolve ozone in the repair agent to form microbubbles, thereby improving the contact efficiency between ozone and pollutants and significantly improving the repair effect. At the same time, ozone generates oxygen after decomposition without residue, avoiding the problem of secondary pollution of the soil by chemical agents. In addition, the device is easy to operate and suitable for a variety of 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, which is applicable to any in-situ soil remediation equipment equipped with a Venturi device, comprising the following steps:

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

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

[0063] Through simulation, the diffusion path of ozone during the soil remediation process is obtained, and the remediation status of the current soil area to be remediated is estimated based on the diffusion path of ozone during the soil remediation process;

[0064] The whale algorithm is used to optimize the layout of the Venturi device according to the current restoration status of the soil area to be restored.

[0065] It should be noted that this method simulates the ozone remediation process by combining the pollution data information of the current soil area to be remediated and the characteristic data information of the soil through digital twin technology, so that it can dynamically simulate the remediation process and adjust the layout position and working parameters of the in-situ soil remediation equipment equipped with a Venturi device according to the results of the dynamic simulation, thereby improving the actual effect of ozone remediation.

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

[0067] By arranging sensors in the soil area to be remediated, the sensors obtain pollution concentration data and pollution type data information of each sub-area in the soil area to be remediated within a preset time, and conduct soil survey in the soil area to be remediated to determine soil structure data, groundwater level data and soil type data;

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

[0069] By aligning the pollution concentration data information of each time stamp in the pollution concentration data information of each sub-area within a preset time in the soil area to be remediated, the pollution concentration data set of each sub-area at each time stamp after alignment is obtained;

[0070] The pollution concentration data information of each sub-region at the current time stamp is obtained through the aligned pollution concentration data sets of each sub-region at each time stamp, and is 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 timestamps of the pollution concentration data information of each sub-area in the soil area to be repaired within a preset time, thereby obtaining the pollution concentration data in each timestamp, and forming an aligned pollution concentration data set of each sub-area at each timestamp to ensure the accuracy of the data.

[0072] Furthermore, in the control method of the in-situ soil remediation equipment equipped with a Venturi device, initializing the working parameter data and the arrangement position of the in-situ soil remediation equipment equipped with the Venturi device specifically includes:

[0073] Obtain the historical optimal ozone working parameter data under each pollution data through big data, build a soil remediation knowledge map, and input the historical optimal ozone working parameter data under each pollution data into the soil remediation knowledge map for storage;

[0074] Obtaining pollution data information of each sub-area in the current soil area to be remediated, and obtaining maximum pollution concentration data information from the pollution data information of each sub-area in the current soil area to be remediated;

[0075] Input the maximum pollution concentration data into the soil remediation knowledge graph for data matching to obtain the optimal ozone working parameter data in the current soil area to be remediated;

[0076] Initialize the working parameter data and injection layout position of the in-situ soil remediation equipment equipped with a Venturi device based on the optimal ozone working parameter data in the current soil area to be remediated.

[0077] It should be noted that, during pollution remediation, a smaller unit ozone delivery rate will lead to a decrease in the efficiency of pollution remediation, and a larger unit ozone delivery rate may cause pollution or make the operators vulnerable to health threats. Therefore, different pollution types and pollution concentrations have different aligned pollution concentration data sets for each sub-area at each time stamp. Through this method, the optimal ozone working parameter data in the current soil area to be remediated can be obtained, thereby initializing the working parameter data and injection layout position 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 diffusion path of ozone 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 characteristic data information of the soil, specifically:

[0079] Obtain soil remediation rate information and agent injection angle under different operating parameter data of in-situ soil remediation equipment equipped with Venturi devices;

[0080] Acquire real-time soil remediation rate information based on soil remediation rate information under different working parameter data of in-situ soil remediation equipment equipped with a Venturi device and working parameter data of the in-situ soil remediation equipment currently equipped with a Venturi device;

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

[0082] Through dynamic simulation, the area passed by ozone in each time stamp is obtained, and the areas passed by ozone in each time stamp are connected.

[0083] It should be noted that due to the influence of soil structural data, such as soil permeability, soil ozone adhesion, soil moisture and other factors, there will be differences in real-time soil remediation rate information, resulting in differences in ozone diffusion paths. Among them, Fluent software, Fluidyn-Ventex software, LAMMPS software, etc. can be used to combine real-time soil remediation rate information and the angle of agent injection, combined with the pollution data information of the current soil area to be remediated and the characteristic data information of the soil to be remediated, to perform a dynamic simulation of the remediation process, thereby obtaining the area passed by ozone in each timestamp, and connecting the areas passed by ozone in each timestamp to form the diffusion path of ozone. The working parameter data of in-situ soil remediation equipment include fluid flow data per unit time, mass data of ozone input per unit time, etc.

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

[0085] Obtaining the extreme position data information of the contaminated position in the current soil area to be repaired in three-dimensional space, and constructing a real-time pollution model map based on the extreme position data information of the contaminated position in the current soil area to be repaired in three-dimensional space;

[0086] The coverage area of ​​pollution remediation is calculated based on the real-time pollution model map and the diffusion path of ozone 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 ​​the pollution repair is greater than the coverage area threshold, the simulation information of normal repair is generated; when the coverage area of ​​the pollution repair is not greater than the coverage area threshold, the simulation information of abnormal repair is generated;

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

[0089] It should be noted that the coverage area of ​​pollution remediation is calculated through three-dimensional software based on the real-time pollution model map and the diffusion path of ozone in the soil during the remediation process, so as to visualize and estimate the ozone remediation process and evaluate the remediation effect.

[0090] Furthermore, in the control method of the in-situ soil remediation equipment equipped with a Venturi device, the arrangement position of the Venturi device is optimized by the whale algorithm according to 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, and each position point in the real-time pollution model map is regarded as a whale exploring in the ocean;

[0092] Randomly distribute the initial position of each whale in the search space, initialize the number of whales, initialize the foraging of each whale based on the number of whales, and evaluate the quality of each whale;

[0093] The fitness function is introduced to evaluate the effect of whale hunting, the fitness of each whale is calculated and the whale position is updated. The fitness value of the new and old positions is compared to decide whether to accept the new position. The whale that accepts the new position is placed in the local high-quality solution set.

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

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

[0096] In addition, several layout points are obtained from the local high-quality solution set, and the optimal layout position for installing the Venturi device is selected from the layout points for configuration optimization, which also includes:

[0097] Estimate the coverage area of ​​the soil remediation agent at each layout point, and estimate the required amount of soil remediation agent data information based on the coverage area of ​​the soil remediation agent at each layout point;

[0098] Constructing a sorting table of the quantity of chemical used, inputting the required data information of the quantity of soil remediation chemical into the sorting table for sorting, and obtaining a sorted sorting table of the quantity of chemical used;

[0099] Obtaining data information on the minimum amount of soil remediation agent from the sorted agent usage quantity sorting table, and obtaining the layout point corresponding to the minimum amount of soil remediation agent data information;

[0100] The layout point corresponding to the minimum soil remediation agent quantity data information is used as the optimal layout position for installing the Venturi device for configuration optimization.

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

[0102] The first embodiment of this invention is that the soil at a gas station is polluted by petroleum hydrocarbons, with a contaminated area of ​​about 800m 2 The average pollution concentration is 5500mg / kg, the soil type is sandy loam with a permeability coefficient of 0.5cm / s, and the groundwater level is 1.5m deep. The device is fixed on the contaminated soil.

[0103] Among them, the convergent section of the Venturi device is 250mm long, with an inlet diameter of 35mm and an outlet diameter of 18mm; the throat is 120mm long and 12mm in diameter; the air inlet is connected to the ozone generator through a corrosion-resistant hard pipe; the divergent section is 350mm long, with an inlet diameter of 18mm and an outlet diameter of 35mm.

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

[0105] Among them, the diameter of the grouting pipe is 60mm, the injection pressure is 25MPa, and the rotation and lifting speed is 15cm / min.

[0106] Simultaneously, soil sensors were used to obtain the pollution concentration in each sub-area, which was up to 2000 mg / kg, soil moisture content of 18%, and permeability coefficient of 0.45 cm / s.

[0107] Among them, based on the soil remediation knowledge graph matching parameters, the ozone injection rate is 500g / h, the agent injection angle is 45°, the inlet flow rate of the Venturi device is: 20m / s, and 3 rotary jet drilling rigs are initially arranged in a triangular array with a spacing of 3.5m.

[0108] The diffusion process was simulated using CO2 MSOL 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 of the pollution plume was insufficiently covered. A three-dimensional pollution model map was constructed, and the coverage area threshold was set at 85%.

[0109] Initial simulation results: 72% of the pollution remediation coverage area is less than the threshold of 85%, triggering the whale algorithm optimization.

[0110] Optimization process: The search space was set to 60m×60m, 30 whales were initialized, and the fitness function was calculated based on "coverage speed minus reagent cost." After 30 iterations, the optimal solution was to add a new jet-jet drill and adjust the spacing to 3m to form an encrypted triangular array. After optimization, the simulated coverage area reached 88%, meeting the threshold requirement.

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

[0112] The implementation effect is improved by 55% compared with traditional processes. The diffusion speed in highly permeable soil is fast, the treatment cycle is shortened to 2 days, the dosage of chemicals is reduced by 30%, the energy consumption is reduced by 18%, and ozone diffuses evenly in sandy loam. Combined with the composite chemical system, it has a significant effect on the removal of difficult-to-degrade petroleum hydrocarbons.

[0113] Soil compatibility: Sandy loam soils are characterized by high porosity and permeability, making traditional remediation methods prone to short-circuiting and loss of ozone. 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, it effectively overcomes the uneven remediation problem caused by variations in soil permeability.

[0114] Parameter adjustment logic: Increase the injection pressure and flow rate to enhance the disturbance and mixing of sandy soils, increase the agent concentration and ozone injection volume to match high pollution loads and fast diffusion requirements, increase the spacing between piles, and compensate for ozone diffusion loss caused by high permeability.

[0115] In addition, the method further comprises:

[0116] The microscopic reaction mechanism between ozone and soil pollutants is simulated by quantum computing, and a quantum chemical model is constructed based on the microscopic reaction mechanism between ozone and soil pollutants. The energy change and intermediate product generation path of ozone decomposition of soil pollutants are simulated based on the quantum chemical model.

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

[0118] Setting a catalytic efficiency threshold, and determining whether there is a catalyst having catalytic efficiency information greater than the catalytic efficiency threshold in the catalytic efficiency information of each catalyst type;

[0119] When there is a catalyst having catalytic efficiency information greater than the catalytic efficiency threshold in the catalytic efficiency information of the catalyst type, calculating the catalytic cost data of the same number of catalysts, and selecting the catalyst type with the lowest catalytic cost as the recommended catalyst;

[0120] When there is no catalyst type whose catalytic efficiency information is greater than the catalytic efficiency threshold in the catalytic efficiency information, 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 generation paths of ozone decomposition of soil pollutants through quantum chemical models, and thus selecting catalysts based on the energy changes and intermediate product generation paths of ozone decomposition of soil pollutants, the soil remediation effect 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 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.

[0123] 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.

[0124] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0125] Those skilled in the art will appreciate that all or part of the steps of the above-mentioned method embodiments may be implemented by hardware associated with program instructions, and the aforementioned program may be stored in a computer-readable storage medium. When the program is executed, the program executes the steps of the above-mentioned method embodiments. The aforementioned storage medium includes various media that can store program codes, such as mobile storage devices, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0126] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods of each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, 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 modifications or substitutions that can be easily conceived by a person 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 based on the scope of protection of the claims.

Claims

1. An in-situ soil remediation device equipped with a Venturi device, comprising: The venturi device, grouting pipe, ozone generator, repair agent storage system and delivery system are characterized in that: The venturi device includes a convergent section, a throat, and a divergent section, wherein an air inlet is provided in the throat. When a fluid enters the venturi device, it first passes through the convergent 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 the ozone generator, the repair agent storage system and the delivery system through a connecting pipe.

2. The in-situ soil remediation equipment equipped with a Venturi device according to claim 1, characterized in that: The air inlet is connected to the ozone generator by using a hose or a hard pipe. The hose or the hard pipe is made of corrosion-resistant material, and the connection is sealed by using a sealing ring or sealant.

3. The in-situ soil remediation equipment 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 through a flange or a thread.

4. The in-situ soil remediation equipment equipped with a Venturi device according to claim 1, characterized in that: The repair agent storage system and the delivery system are connected by a high-pressure hose or a hard pipe, and the connection is sealed by a sealing ring or a sealant.

5. A control method for in-situ soil remediation equipment equipped with a Venturi device, characterized in that: The in-situ soil remediation equipment equipped with a Venturi device as claimed in any one of claims 1 to 4 comprises the following steps: Obtain pollution data and soil characteristic data of the current soil remediation area to be remediated, and initialize the working parameter data and layout position of the in-situ soil remediation equipment equipped with a Venturi device; Simulating the diffusion path of ozone 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 characteristic data information of the soil; Through simulation, the diffusion path of ozone during the soil remediation process is obtained, and the remediation status of the current soil area to be remediated is estimated based on the diffusion path of ozone during the soil remediation process; The arrangement position of the additional Venturi device is optimized by the whale algorithm according to the restoration status of the current soil area to be restored.

6. The control method of an in-situ soil remediation equipment equipped with a Venturi device according to claim 5, characterized in that: Obtain pollution data and soil characteristic data for the area to be remediated, including: By arranging sensors in the soil area to be remediated, the sensors obtain pollution concentration data and pollution type data information of each sub-area in the soil area to be remediated within a preset time, and conduct soil survey in the soil area to be remediated to determine soil structure data, groundwater level data and soil type data; Constructing soil characteristic data information based on the soil structure data, groundwater level data, and soil type data; By aligning the pollution concentration data information of each time stamp in the pollution concentration data information of each sub-area within a preset time in the soil area to be remediated, the pollution concentration data set of each sub-area at each time stamp after alignment is obtained; The pollution concentration data information of each sub-region at the current time stamp is obtained through the aligned pollution concentration data sets of each sub-region at each time stamp, and is used as the pollution data information of the current soil area to be remediated.

7. The control method of an in-situ soil remediation equipment equipped with a Venturi device according to claim 5, characterized in that: Initialize the working parameter data and layout of the in-situ soil remediation equipment equipped with a Venturi device, including: Obtain historical optimal ozone operating parameter data under each pollution data through big data, and construct a soil remediation knowledge graph, and input the historical optimal ozone operating parameter data under each pollution data into the soil remediation knowledge graph for storage; Obtaining pollution data information of each sub-region in the current soil area to be remediated, and obtaining maximum pollution concentration data information from the pollution data information of each sub-region in the current soil area to be remediated; Inputting the maximum pollution concentration data information into the soil remediation knowledge graph for data matching to obtain the optimal ozone working parameter data in the current soil area to be remediated; The working parameter data and injection arrangement position of the in-situ soil remediation equipment equipped with a Venturi device are initialized according to the optimal ozone working parameter data in the current soil area to be remediated.

8. The control method for in-situ soil remediation equipment equipped with a Venturi device according to claim 5, characterized in that: The diffusion path of ozone 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 characteristic data information of the soil, specifically: Obtain soil remediation rate information and agent injection angle under different operating parameter data of in-situ soil remediation equipment equipped with Venturi devices; Acquiring real-time soil remediation rate information based on the soil remediation rate information under the working parameter data of the in-situ soil remediation equipment with different Venturi devices installed and the working parameter data of the in-situ soil remediation equipment currently equipped with the Venturi device; Based on the real-time soil remediation rate information and the angle of the agent injection, the remediation process is dynamically simulated in combination with the pollution data information of the current soil area to be remediated and the soil characteristic data information; Through dynamic simulation, the area passed by the ozone in each time stamp is obtained, and the areas passed by the ozone in each time stamp are connected.

9. The control method of an in-situ soil remediation equipment equipped with a Venturi device according to claim 5, characterized in that: The restoration status of the current soil area to be restored is estimated based on the diffusion path of ozone during the restoration process, specifically including: Obtaining extreme position data information of the contaminated position of the current soil area to be repaired in three-dimensional space, and constructing a real-time pollution model diagram based on the extreme position data information of the contaminated position of the current soil area to be repaired in three-dimensional space; The coverage area of ​​the pollution remediation is calculated based on the real-time pollution model map and the diffusion path of ozone in the soil during the remediation process, a coverage area threshold is set, and it is determined whether the coverage area of ​​the pollution remediation is greater than the coverage area threshold; When the coverage area of ​​the pollution repair is greater than the coverage area threshold, normal repair simulation information is generated; when the coverage area of ​​the pollution repair is not greater than the coverage area threshold, abnormal repair simulation information is generated; The restoration status of the current soil area to be restored is generated according to the simulation information of normal restoration or the simulation information of abnormal restoration, and the restoration status of the current soil area to be restored is output.

10. The control method for in-situ soil remediation equipment equipped with a Venturi device according to claim 5, characterized in that: The arrangement position of the additional Venturi device is optimized and configured using the whale algorithm according to the restoration status of the current soil area to be restored, specifically: When the remediation status of the soil area to be remediated is abnormal, a whale algorithm is introduced, and a search space is initialized to obtain a real-time pollution model map, and each position point in the real-time pollution model map is regarded as a whale exploring in the ocean; Randomly distributing the initial position of each whale in the search space, initializing the number of whales, initializing the foraging of each whale based on the number of whales, and evaluating the quality of each whale; The fitness function is introduced to evaluate the effect of whale hunting, the fitness of each whale is calculated and the whale position is updated. The fitness value of the new and old positions is compared to decide whether to accept the new position. The whale that accepts the new position is placed in the local high-quality solution set. When the whale is attached to the "shark", the spiral update mechanism in the whale algorithm is used to perform a more detailed search in the local high-quality solution set, obtain several layout points from the local high-quality solution set, and select the optimal layout position for installing the Venturi device from the layout points for configuration optimization.

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