In-situ thermal desorption synergistic remediation system suitable for complex polluted site

Abstract

The invention discloses an in-situ thermal desorption synergistic remediation system suitable for a complex polluted site, and relates to the technical field of site remediation. The intelligent composite heating module is fused with a technology and automatically adjusted according to soil characteristics, and a nano element goes deep into the ground and is rapidly heated; the self-adaptive extraction module adjusts gas extraction according to gas concentration and flow direction; a multi-stage coupling purification module integration technology is used for deeply decomposing pollutants; the multi-source fusion monitoring module adopts multiple monitoring means and 5G data transmission; the cloud control intelligent decision-making module receives monitoring data through cloud computing and artificial intelligence, analyzes and predicts the monitoring data in real time, and automatically adjusts the operation mode of each module. Intelligent heating is accurate and efficient, extraction is adaptive, energy is saved, multi-stage purification deep treatment is achieved, monitoring is accurate, transmission is fast, and intelligent decision-making and real-time adjustment are achieved; and an additive can be accurately injected to promote ecological restoration, complex pollution is efficiently treated, and both environmental protection and economical efficiency are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of site remediation systems, and in particular to an in-situ thermal desorption synergistic remediation system suitable for complex contaminated sites. Background Art

[0002] With the rapid development of industrialization and urbanization, a large number of industrial waste discharges, improper use of chemicals, and random landfills have led to the emergence of many complex contaminated sites. There are many types of pollutants in these contaminated sites, including heavy metals, organic pollutants, petroleum substances, etc., and the distribution of pollutants in soil and groundwater is complex and interacts with each other, posing a serious threat to the environment and human health. Traditional methods of contaminated site remediation, such as ex situ remediation, require the contaminated soil to be excavated for treatment, which is not only costly and labor-intensive, but also causes secondary damage to the surrounding environment. Existing in situ remediation technologies, such as single thermal desorption technology, can remove volatile and semi-volatile organic pollutants to a certain extent, but the remediation effect is often unsatisfactory for problems such as the coexistence of multiple pollutants in complex contaminated sites, deep soil pollution, and the close combination of pollutants and soil particles. When facing complex contaminated sites, the single thermal desorption technology has the problem of uneven heating. Due to the heterogeneity of the soil, the thermal conductivity of the soil in different regions varies greatly, resulting in the temperature of some areas not meeting expectations during the heating process, and the pollutants cannot be fully volatilized or decomposed, affecting the remediation efficiency. Moreover, traditional thermal desorption technology has limited processing capacity for some high-boiling-point and difficult-to-degrade pollutants, making it difficult to completely remove them. In the extraction process, it is difficult for traditional methods to accurately adjust the extraction according to the distribution and concentration changes of pollutants, which can easily cause pollutants to remain in some areas and over-extract in some areas, wasting energy and resources. During the purification process, a single purification method has poor purification effect on pollutant gases with complex components, and cannot effectively remove all harmful substances. The purified gas may still contain a certain amount of pollutants, causing potential harm to the environment. In addition, the existing remediation system lacks effective monitoring and decision-making capabilities. It is impossible to grasp the remediation progress and environmental changes of the contaminated site in real time and accurately, and it is difficult to adjust the remediation strategy in time, resulting in an extension of the remediation cycle and an increase in remediation costs. At the same time, traditional remediation methods often only focus on the removal of pollutants and ignore the restoration of the ecological environment of the contaminated site, making it difficult to restore the ecological function of the site after restoration and unable to achieve sustainable development. Therefore, there is an urgent practical need to develop an in-situ thermal desorption synergistic remediation system and method suitable for complex contaminated sites. The system and method should be able to comprehensively consider the characteristics of complex contaminated sites, achieve precise heating, efficient extraction, and deep purification, while also having intelligent monitoring and decision-making capabilities, and focusing on ecological restoration to improve restoration efficiency, reduce costs, and reduce the impact on the environment, providing effective technical support for solving the problem of complex contaminated site restoration. Summary of the invention

[0003] The present invention proposes an in-situ thermal desorption synergistic remediation system suitable for complex contaminated sites to solve the problems mentioned in the above-mentioned prior art.

[0004] In order to achieve the above-mentioned purpose, the present invention adopts the following technical solution: an in-situ thermal desorption synergistic remediation system suitable for complex contaminated sites, comprising:

[0005] Intelligent composite heating module: It integrates resistance heating, laser heating and plasma heating technologies. Through intelligent algorithms, it automatically adjusts the proportion and parameters of different heating methods according to the composition C, depth D and distribution S of the contaminated soil. The heating proportion adjustment formula is R i =f(C, D, S), where i represents different heating methods, R i is the proportion of heating methods; the relationship between heating time t and heating power P, soil specific heat capacity c, soil mass m, target temperature T2 and initial temperature T1 is:

[0006] Adaptive extraction module: It consists of an extraction well, a variable frequency vacuum pump and a flexible gas collection pipeline; the extraction well is equipped with sensors to sense the concentration of pollutant gases in the soil in real time. g With the flow direction F, the suction position and strength are adjusted adaptively; the suction strength F s According to formula F s = k × C g ×F calculation, where k is the coefficient, and the vacuum pump adjusts the pumping flow rate by frequency conversion according to the feedback from the extraction well;

[0007] Multi-stage coupled purification module: integrated condensation-membrane separation-biodegradation-photocatalytic oxidation technology. First, high boiling point pollutants are separated by condensation, and the condensation efficiency η condensation and condensation temperature T condensation , gas initial temperature T initial and gas composition C gas The formula is η condensation =g(T condensation , T initial , C gas );Then the tiny particles are separated by membrane, and the membrane separation retention rate η membrane The membrane pore size d and particle size D particle Related, the formula is η membrane =h(d, D particle ). Then, some organic pollutants are degraded by microorganisms, and the biodegradation rate is v biodegradation and microbial concentration C microbe , Pollutant concentration C pollutant and ambient temperature T environment The formula is v biodegradation =j(Cmicrobe , C pollutant , T environment ); Finally, photocatalytic oxidation is used to deeply decompose the remaining harmful substances, and the photocatalytic oxidation efficiency η photocatalysis The relationship between light intensity I, catalyst activity A and pollutant concentration C pollutant Related, the formula is η photocatalysis = k(I, A, C pollutant );

[0008] Multi-source fusion monitoring module: Comprehensive use of fiber optic sensing, drone remote sensing and satellite monitoring technology; fiber optic sensors accurately monitor soil temperature T soil 、Humidity T soil 、Pressure P soil and pollutant concentration C pollutant-soil ; The data fusion process uses a weighted average algorithm, and the fused data D fusion for where w i is the weight of each data source, D i The data of each data source;

[0009] Cloud control intelligent decision-making module: Through cloud computing and artificial technology, it receives the data of the integrated monitoring module, uses the learning algorithm to establish the pollution remediation model, analyzes and predicts the remediation process in real time, and predicts the remediation time t through the model. prediction With the current monitoring data D current 、Historical data D history Related, the formula is t prediction = l(D current , D history ); automatically adjust the heating strategy of the composite heating module, the exhaust parameters of the adaptive extraction module and the operation mode of the coupled purification module.

[0010] Furthermore, the following modules are also included:

[0011] Targeted additive injection module: The micro-nano capsule packaging technology is used to encapsulate chemical additives into micro-nano capsules; through the directional injection device, according to the distribution of different pollutants in the contaminated soil pollutant With characteristic P pollutant Additive injection; additive injection amount Q additive According to the formula Q additive =m(S pollutant , P pollutant ) Determine the micro-nano capsule at a specific temperature T release or pressure P release It breaks under certain conditions, releases additives, and enhances the solubility and volatility of pollutants.

[0012] Ecological restoration auxiliary module: combining bioremediation and phytoremediation technologies; planting plants with pollutant-accumulating capacity around and inside the contaminated site, and adding microbial agents with pollutant-degrading functions; plant growth rate v plant and soil fertility soil , illumination time t light , moisture content H water The formula is v plant =n(F soil , t light , H water ); microbial growth rate v microbe With temperature T, nutrient concentration C nutrient Related, the formula is v microbe = p(T,C nutrient ).

[0013] Furthermore, the nanocomposite high temperature resistant material of the composite heating module has a thermal conductivity improvement ratio of r λ The calculation formula is where λ new is the thermal conductivity of nanocomposite high temperature resistant material.

[0014] Furthermore, the membrane separation component of the coupled purification module uses nanoporous membrane material, and the membrane pore size d and the retention rate η membrane The functional relationship η is obtained by experimentally fitting the curve. membrane =q(d).

[0015] Furthermore, the data transmission of the integrated monitoring module adopts 5G communication technology, and the data transmission delay is t delay With data volume D amount , transmission rate v transfer The formula is

[0016] A method for applying the in-situ thermal desorption synergistic remediation system applicable to complex contaminated sites comprises the following steps:

[0017] Data collection and analysis steps: The fusion monitoring module comprehensively collects soil temperature, humidity, pollutant concentration, site surface conditions and environmental information data. The cloud control decision module analyzes the data to determine the pollution characteristics and remediation targets. Based on the collected data, the data analysis algorithm A analysis Calculate the pollution degree D pollution , the formula is D pollution =A analysis (D collection ), where D collection For the collected data;

[0018] Heating and extraction steps: The composite heating module heats the contaminated soil according to the analysis results to volatilize the pollutants; the adaptive extraction module adjusts the extraction strategy in real time to collect the volatilized pollutant gas; the heating power P is determined according to the soil characteristics and target temperature, and the extraction flow rate Q is extraction ;

[0019] Purification process: The coupled purification module performs deep purification of pollutant gases through condensation, membrane separation, biodegradation and photocatalytic oxidation in sequence; Biodegradation efficiency: S0 is the initial concentration of the pollutant substrate before biodegradation, ΔS is the reduction in substrate concentration during biodegradation; photocatalytic oxidation efficiency: n0 is the amount of pollutant substance before photocatalytic oxidation, nt is the amount of pollutant substance after photocatalytic oxidation after t time;

[0020] Real-time monitoring and control steps: The integrated monitoring module continuously monitors the repair process, and the cloud control decision module dynamically adjusts the operating parameters of the heating, extraction and purification modules according to the monitoring data; the control parameter P regulation According to monitoring data D monitor and repair target G repair OK, the formula is P regulation =o(D monitor , G repair ), o is a functional relationship, indicating the control parameter P regulation Based on monitoring data monitor and repair target G repair to be sure.

[0021] Furthermore, the method further comprises the following steps:

[0022] Targeted additive injection steps: The targeted additive injection module injects additives wrapped in micro-nano capsules according to the pollution distribution and characteristics, and the injection amount is Q additive ; Determined by the formula based on the degree of pollution and the effect of additives; Q additive =k×C×A×D, where k is a coefficient related to the effect of the additive, C is the pollutant concentration, A is the contaminated area, and D is the contamination depth.

[0023] Ecological restoration auxiliary steps: The ecological restoration auxiliary module carries out bioremediation and phytoremediation work on the contaminated site, according to the plant and microbial growth rate formula plant growth rate formula Where W1 and W2 are the plant biomass at time t1 and t2 respectively; the microbial growth rate formula is: μ max is the maximum specific growth rate, S is the limiting substrate concentration, K s is the half-saturation constant.

[0024] Effect evaluation and optimization steps: Based on the data and purification effect of the fusion monitoring module, the cloud control decision module evaluates the repair effect; the evaluation index E evaluation Related to monitoring data and repair targets, the formula is E evaluation = p(D monitor , G repair ).

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] In terms of heating, the intelligent composite heating module integrates a variety of heating technologies. Through intelligent algorithms, it automatically adjusts the heating mode and parameters according to the characteristics of contaminated soil. It can quickly and evenly heat up. The heating formula ensures precise control, improves heating efficiency and adaptability to complex soil environments, and can effectively deal with deep and difficult pollution. The intelligent extraction well and variable frequency vacuum pump of the adaptive extraction module can adjust the extraction in real time according to the concentration and flow direction of the pollutant gas. The extraction force formula ensures efficient collection, avoids resource waste and pollutant residue, and improves the extraction effect. The multi-stage coupling purification module integrates a variety of purification technologies. The efficiency formula of each link guides the real-time adjustment of parameters. The purification efficiency is as high as more than 99%. It can deeply decompose the pollutant gas with complex components, ensure that the purified gas meets the emission standards, and reduce secondary pollution to the environment. The multi-source fusion monitoring module comprehensively uses a variety of monitoring technologies, the data fusion algorithm improves the monitoring accuracy, and 5G communication ensures real-time data transmission, providing accurate information for the cloud control intelligent decision module. The cloud control intelligent decision module uses a deep learning algorithm to establish a model, and analyzes and adjusts the repair strategy in real time through the prediction formula to realize the autonomous intelligent operation of the system, shorten the repair cycle, and reduce costs. The targeted additive injection module accurately injects additives based on the characteristics of the pollution, and the additive injection amount formula ensures targeting and enhances the treatability of pollutants. The ecological restoration auxiliary module combines biological and plant restoration technologies, and the growth rate formula guides the adjustment of environmental parameters to promote ecosystem recovery and achieve coordinated pollution restoration and ecological reconstruction. In summary, this patented technology can efficiently and accurately repair complex polluted sites, while focusing on ecological environmental protection and sustainable development, and has good economic and environmental benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 A schematic block diagram of an in-situ thermal desorption synergistic remediation system suitable for complex contaminated sites proposed by the present invention;

[0028] Figure 2 This is a schematic diagram of an in-situ thermal desorption synergistic remediation method suitable for complex contaminated sites proposed by the present invention. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0031] In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined. In addition, the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, and it can be the internal connection of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances. The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0032] Reference Figure 1-2 :An in-situ thermal desorption synergistic remediation system suitable for complex contaminated sites, comprising:

[0033] Intelligent composite heating module: integrates resistance heating, laser heating and plasma heating technologies. Through intelligent algorithms, it automatically adjusts the proportion and parameters of different heating methods according to the composition C, depth D and distribution S of the contaminated soil. The heating proportion adjustment formula is R i =f(C, D, S), where i represents different heating methods, R iThe heating element is made of nano-composite high temperature resistant material, which can penetrate 1-30 meters underground and quickly and evenly heat the soil in the contaminated area to 100-800℃ within 30 minutes. The relationship between the heating time t and the heating power P, soil specific heat capacity c, soil mass m, target temperature T2 and initial temperature T1 is: Achieve precise and efficient heating.

[0034] Adaptive extraction module: It consists of an intelligent extraction well, a variable frequency vacuum pump and a flexible gas collection pipeline. The extraction well is equipped with an intelligent sensor that can sense the concentration of pollutant gas in the soil in real time. g With the flow direction F, the suction position and strength are adjusted adaptively. s According to formula F s = k × C g ×F calculation, where k is the coefficient. The vacuum pump adjusts the suction flow rate according to the feedback from the extraction well, with a range of 0.5-15m 3 / min, ensuring efficient collection of volatilized pollutant gases.

[0035] Multi-stage coupled purification module: integrated condensation-membrane separation-biodegradation-photocatalytic oxidation technology. First, high boiling point pollutants are separated by condensation, and the condensation efficiency η condensation and condensation temperature T condensation , gas initial temperature T initial and gas composition C gas The formula is η condensation =g(T condensation , T initial , C gas ). Then the tiny particles are separated by membrane, and the membrane separation retention rate η membrane The membrane pore size d and particle size D particle Related, the formula is η membrane =h(d, D particle ). Then, microorganisms are used to degrade some organic pollutants, and the biodegradation rate is v biodegradation and microbial concentration C microbe , Pollutant concentration C pollutant and ambient temperature T environment The formula is v biodegradation =j(C microbe , C pollutant , T environment ). Finally, photocatalytic oxidation is used to deeply decompose the remaining harmful substances. The photocatalytic oxidation efficiency η photocatalysis The relationship between light intensity I, catalyst activity A and pollutant concentration C pollutant Related, the formula is η photocatalysis = k(I, A, C pollutant ), the purification efficiency is over 99%.

[0036] Multi-source fusion monitoring module: Comprehensive use of fiber optic sensing, drone remote sensing and satellite monitoring technology. Fiber optic sensors accurately monitor soil temperature T soil 、Humidity soil 、Pressure P soil and pollutant concentration C pollutant-soil , UAVs regularly inspect the surface conditions of the site, and satellites obtain real-time macro-environmental information of the site. The data fusion process uses a weighted average algorithm, and the fused data D fusion for where w i is the weight of each data source, D i The data for each data source. The monitoring accuracy is ±0.5℃, ±0.05ppm and ±0.005m.

[0037] Cloud control intelligent decision-making module: With the help of cloud computing and artificial intelligence technology, it connects the above modules. It receives data from the multi-source fusion monitoring module, uses deep learning algorithms to establish a pollution remediation model, and analyzes and predicts the remediation process in real time. The model predicts the remediation time t prediction With the current monitoring data D current 、Historical data D history Related, the formula is t prediction = l(D current , D history ). Automatically adjust the heating strategy of the intelligent composite heating module, the extraction parameters of the adaptive extraction module and the operation mode of the multi-stage coupling purification module to achieve autonomous intelligent decision-making and optimized operation of the system.

[0038] The present invention also includes the following modules:

[0039] Targeted additive injection module: Using micro-nano capsule packaging technology, a variety of chemical additives are encapsulated into micro-nano capsules. Through the directional injection device, according to the distribution of different pollutants in the contaminated soil pollutant With characteristic P pollutant , accurately inject the corresponding additives. Additive injection amount Q additive According to the formula Q additive =m(S pollutant , P pollutant ) is determined. The micro-nano capsule is at a specific temperature T release or pressure P release The particles can break under certain conditions, release additives, enhance the solubility, volatility or degradability of pollutants, and improve the targeting and efficiency of repair.

[0040] Ecological restoration auxiliary module: Combine bioremediation and phytoremediation technologies. Plant plants with the ability to accumulate pollutants are planted around and inside the contaminated site, and microbial agents with the function of degrading pollutants are placed. Plant growth rate v plantand soil fertility soil , illumination time t light , moisture content H water The formula is v plant =n(F soil , t light , H water ). Microbial growth rate v microbe With temperature T, nutrient concentration C nutrient Related, the formula is v microbe = p(T,C nutrient ). At the same time, it is equipped with a nutrient solution circulation irrigation system and a microbial activation device to provide a suitable growth environment for plants and microorganisms, promote the recovery of the ecosystem, and achieve the coordinated progress of pollution remediation and ecological reconstruction.

[0041] In the present invention, the nanocomposite high temperature resistant material of the intelligent composite heating module has excellent thermal conductivity and corrosion resistance. Its thermal conductivity λ is more than 30% higher than that of traditional materials, which can effectively resist the erosion of acid and alkali substances in the soil and extend the service life of the heating element. λ The calculation formula is where λ new is the thermal conductivity of nanocomposite high temperature resistant material, and is the thermal conductivity of traditional material. Through this formula, we can clearly calculate the improvement of thermal conductivity of new materials compared with traditional materials, and provide a quantitative basis for evaluating material performance and selecting suitable heating element materials.

[0042] In the present invention, the membrane separation component of the multi-stage coupled purification module adopts a new nanoporous membrane material, the pore size can be precisely controlled, the interception rate of tiny pollutant particles is more than 98%, and it has good anti-pollution performance, which can reduce the cleaning frequency and operating cost. membrane The relationship can be obtained by experimental fitting curve to obtain the functional relationship η membrane =q(d); During the research and development and application process, a series of experiments were carried out to change the membrane pore size and measure the corresponding retention rate, and then the data were analyzed and fitted to obtain the functional relationship between the two. This functional relationship has important guiding significance for selecting membrane materials with appropriate pore sizes according to actual needs, predicting retention rates, and optimizing the performance of membrane separation components.

[0043] In the present invention, the data transmission of the multi-source fusion monitoring module adopts 5G communication technology to achieve high-speed and stable transmission of monitoring data, ensuring that the cloud-controlled intelligent decision-making module obtains the latest information in real time, and the decision-making response time is shortened to seconds. Data transmission delay t delay With data volume D amount , transmission rate v transfer The formula is This formula shows that the larger the data volume, the longer the transmission delay time; the higher the transmission rate, the shorter the transmission delay time. By optimizing the data volume and increasing the transmission rate, the transmission delay can be further reduced and the overall system performance can be improved.

[0044] The present invention also discloses a method for an in-situ thermal desorption synergistic remediation system applicable to complex contaminated sites, comprising the following steps:

[0045] Data collection and analysis steps: The multi-source fusion monitoring module comprehensively collects data such as soil temperature, humidity, pollutant concentration, site surface conditions and macro-environmental information. The cloud control intelligent decision-making module analyzes the data to determine the pollution characteristics and remediation targets. Based on the collected data, the data analysis algorithm A analysis Calculate the pollution degree D pollution , the formula is D pollution =A analysis (D collection ), where D collection Through this formula, a large amount of collected raw data can be converted into a quantitative value of the pollution degree that can be used for evaluation and decision-making, providing an important basis for the formulation of subsequent remediation strategies and the implementation of remediation work.

[0046] Heating and extraction steps: The intelligent composite heating module uses appropriate heating methods and parameters to heat the contaminated soil according to the analysis results to volatilize the pollutants; the adaptive extraction module adjusts the extraction strategy in real time to collect the volatilized pollutant gas. The heating power P is determined according to the soil characteristics and target temperature, and the extraction flow rate Q is extraction Heating decision basis: The intelligent composite heating module will first analyze the contaminated soil, considering soil characteristics such as soil texture (sand, clay, etc.), humidity, type and content of pollutants. These characteristics will affect the thermal conductivity of the soil and the volatilization characteristics of pollutants. At the same time, combined with the target temperature (that is, the temperature to which the soil needs to be heated so that the pollutants can be effectively volatilized), the appropriate heating method and parameters are determined.

[0047] Heating methods and parameters: The heating method may integrate multiple technologies, such as resistance heating, electromagnetic induction heating, etc. Different heating methods are suitable for soils and pollutants with different characteristics. The heating power P is a key parameter, which is related to the soil characteristics and the target temperature. For example, for clay with poor thermal conductivity, a higher heating power may be required to quickly reach the target temperature; while for sand with better thermal conductivity, a relatively low power may be sufficient to adjust the exhaust strategy based on the concentration and flow direction of the pollutant gas: The adaptive extraction module monitors the concentration and flow direction of the pollutant gas in real time. The concentration reflects the degree and distribution of the pollutant volatilization, and the flow direction indicates the direction of movement of the pollutant gas in the soil pores and space. Exhaust flow adjustment: According to the monitored pollutant gas concentration and flow direction, the adaptive extraction module dynamically adjusts the exhaust flow Q extraction If the concentration of pollutant gas in a certain area is high, it means that the amount of pollutant volatilization in this area is large, and the air extraction flow rate will be increased to efficiently collect these gases; if the flow direction of the pollutant gas changes, the air extraction strategy will also change accordingly to ensure that the volatilized pollutant gas can be captured in time to prevent it from spreading to untreated areas or environments.

[0048] Through the coordinated work of the intelligent composite heating module and the adaptive extraction module, effective volatilization and collection of pollutants in contaminated soil can be achieved, providing the prerequisite for subsequent purification treatment links and ensuring the efficient operation of the entire in-situ thermal desorption collaborative remediation system.

[0049] Purification process: The multi-stage coupled purification module deeply purifies pollutant gases through condensation, membrane separation, biodegradation and photocatalytic oxidation in sequence; Biodegradation efficiency: S0 is the initial concentration of the pollutant substrate before biodegradation, ΔS is the reduction in substrate concentration during biodegradation; photocatalytic oxidation efficiency: n0 is the amount of pollutant before photocatalytic oxidation, n t It is the amount of pollutant after photocatalytic oxidation after t time.

[0050] Real-time monitoring and control steps: The multi-source fusion monitoring module continuously monitors the repair process, and the cloud control intelligent decision-making module dynamically adjusts the operating parameters of the heating, extraction and purification modules according to the monitoring data. Control parameter P regulation According to monitoring data D monitor and repair target G repair OK, the formula is P regulation =o(D monitor , G repair ), o is a functional relationship, indicating the control parameter P regulatio n is based on monitoring data D monitor and repair target G repairThe cloud control intelligent decision-making module uses this functional relationship to calculate the appropriate control parameters based on the continuously updated monitoring data and the established repair goals, thereby dynamically adjusting the operation of each module and making the repair work move towards the goal efficiently.

[0051] The present invention also includes the following steps:

[0052] Targeted additive injection steps: The targeted additive injection module accurately injects additives wrapped in micro-nano capsules according to the distribution and characteristics of the pollution to enhance the treatability of the pollutants. Injection volume Q additive ; Determined by the formula based on the degree of pollution and the effect of additives; Q additive =k×C×A×D, where k is a coefficient related to the effect of the additive, C is the pollutant concentration, A is the contaminated area, and D is the contamination depth.

[0053] Ecological restoration auxiliary steps: The ecological restoration auxiliary module carries out bioremediation and phytoremediation work on the contaminated site, while providing suitable growth conditions to promote ecosystem recovery. According to the plant and microbial growth rate formula; plant growth rate formula Where W1 and W2 are the plant biomass at time t1 and t2 respectively; the microbial growth rate formula is: μ max is the maximum specific growth rate, S is the limiting substrate concentration, K s is the half-saturation constant.

[0054] Effect evaluation and optimization steps: Based on the data and purification effect of the multi-source fusion monitoring module, the cloud control intelligent decision-making module evaluates the repair effect. Evaluation index E evaluation Related to monitoring data and repair targets, the formula is E evaluation = p(D monitor , G repair ). The cloud control intelligent decision-making module is the main body for evaluating the remediation effect. It carries out the evaluation work based on the data provided by the multi-source fusion monitoring module and the purification effect. The data of the multi-source fusion monitoring module covers various key information in the remediation process, such as soil temperature, pollutant concentration, gas composition, etc. The purification effect reflects the degree of treatment of pollutant gases by the multi-stage coupling purification module. If the results obtained according to the evaluation indicators show that the remediation goal has not been achieved, the cloud control intelligent decision-making module will take adjustment measures. Specifically, it includes adjusting the remediation strategy, such as changing the working mode and sequence of heating, extraction, purification and other links; at the same time, the parameters of each module will also be adjusted, such as the heating power of the intelligent composite heating module, the exhaust flow of the adaptive extraction module, the operating parameters of the multi-stage coupling purification module, etc. Through these adjustments, the continuous optimization of the remediation system is achieved to gradually approach and ultimately achieve the remediation goal.

[0055] The above are only preferred specific implementation modes of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solutions and inventive concepts of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An in-situ thermal desorption synergistic remediation system suitable for complex contaminated sites, characterized in that: include: Composite heating module: integrating resistance heating, laser heating and plasma heating technologies; Through intelligent algorithms, the proportion and parameters of different heating methods are automatically adjusted according to the composition C, depth D and distribution S of the contaminated soil; The heating ratio adjustment formula is R i =f(C, D, S), where i represents different heating methods, R i is the proportion of heating methods; the relationship between heating time t and heating power P, soil specific heat capacity c, soil mass m, target temperature T2 and initial temperature T1 is: Adaptive extraction module: It consists of an extraction well, a variable frequency vacuum pump and a flexible gas collection pipeline; the extraction well is equipped with sensors to sense the concentration of pollutant gases in the soil in real time. g With the flow direction F, the suction position and strength are adjusted adaptively; the suction strength F s According to formula F s = k × C g ×F calculation, where k is the coefficient, and the vacuum pump adjusts the pumping flow rate by frequency conversion according to the feedback from the extraction well; Multi-stage coupled purification module: integrated condensation-membrane separation-biodegradation-photocatalytic oxidation technology. First, high boiling point pollutants are separated by condensation, and the condensation efficiency η condensation and condensation temperature T condensation , gas initial temperature T initial and gas composition C 9as The formula is η condensation =g(T condensation , T initial , C gas );Then the tiny particles are separated by membrane, and the membrane separation retention rate η membrane The membrane pore size d and particle size D particle The formula is η membrane =h(d, D particle ). Then, some organic pollutants are degraded by microorganisms, and the biodegradation rate is v biodegradation and microbial concentration C microbe , Pollutant concentration C pollutant and ambient temperature T environment The formula is v biodegradation =j(C microbe , C pollutant , T environment ); Finally, photocatalytic oxidation is used to deeply decompose the remaining harmful substances, and the photocatalytic oxidation efficiency η photocatalysis The relationship between light intensity I, catalyst activity A and pollutant concentration C pollutant The formula is η photocatalysis = k(I, A, C pollutant ); The multi-source fusion monitoring module uses optical fiber sensing, drone remote sensing and satellite monitoring technology. Optical fiber sensors monitor soil temperature T soil 、Humidity soil 、Pressure P soil and pollutant concentration C pollutant-soil ; The data fusion process uses a weighted average algorithm, and the fused data D fusion for where w i is the weight of each data source, D i The data of each data source; Cloud control decision module: Through cloud computing and artificial technology, it receives the data of the integrated monitoring module, uses the learning algorithm to establish the pollution remediation model, analyzes and predicts the remediation process in real time, and predicts the remediation time t through the model. prediction With the current monitoring data D current 、Historical data D history Related, the formula is t prediction = l(D current , D history ); automatically adjust the heating strategy of the composite heating module, the exhaust parameters of the adaptive extraction module and the operation mode of the coupled purification module.

2. The in-situ thermal desorption synergistic remediation system suitable for complex contaminated sites according to claim 1, characterized in that: Also includes: Targeted additive injection module: Using micro-nano capsule packaging technology, chemical additives are encapsulated into micro-nano capsules; through the directional injection device, according to the distribution of different pollutants in the contaminated soil pollutant With characteristic P pollutant Additive injection; additive injection amount Q additive According to the formula Q additive =m(S pollutant , P pollutant ) Determine the micro-nano capsule at a specific temperature T release or pressure P release It breaks under certain conditions, releases additives, and enhances the solubility and volatility of pollutants.

3. The in-situ thermal desorption synergistic remediation system suitable for complex contaminated sites according to claim 1, characterized in that: Also includes: Ecological restoration auxiliary module: combining bioremediation and phytoremediation technologies; planting plants with pollutant-accumulating capacity around and inside the contaminated site, and placing microbial agents with pollutant-degrading functions; plant growth rate v plant and soil fertility soil , illumination time t light , moisture content H water The formula is v plant =n(F soil , t light , H water ); microbial growth rate v microbe With temperature T, nutrient concentration C nutrient Related, the formula is v microbe = p(T,C nutrient ).

4. The in-situ thermal desorption synergistic remediation system suitable for complex contaminated sites according to claim 1, characterized in that: Nanocomposite high temperature resistant material of composite heating module, thermal conductivity increased by ratio r λ The calculation formula is where λ new is the thermal conductivity of nanocomposite high temperature resistant material.

5. The in-situ thermal desorption synergistic remediation system suitable for complex contaminated sites according to claim 1, characterized in that: The membrane separation component of the coupled purification module uses nanoporous membrane materials, and the membrane pore size d is related to the retention rate η membrane The functional relationship η is obtained by experimentally fitting the curve. membrane =q(d).

6. The in-situ thermal desorption synergistic remediation system suitable for complex contaminated sites according to claim 1, characterized in that: The data transmission of the integrated monitoring module adopts 5G communication technology, and the data transmission delay is t delay With data volume D amount , transmission rate v transfer The formula is 7. A method for using the in-situ thermal desorption synergistic remediation system for complex contaminated sites according to any one of claims 1 to 6, characterized in that: The following steps are involved: Data collection and analysis steps: The fusion monitoring module comprehensively collects soil temperature, humidity, pollutant concentration, site surface conditions and environmental information data. The cloud control decision module analyzes the data to determine the pollution characteristics and remediation targets. Based on the collected data, the data analysis algorithm A analysis Calculate the pollution degree D pollution , the formula is D pollution =A analysis (D collection ), where D collection For the collected data; Heating and extraction steps: The composite heating module heats the contaminated soil according to the analysis results to volatilize the pollutants; the adaptive extraction module adjusts the extraction strategy in real time to collect the volatilized pollutant gas; the heating power P is determined according to the soil characteristics and target temperature, and the extraction flow rate Q is extraction ; Purification process: The coupled purification module purifies pollutant gases through condensation, membrane separation, biodegradation and photocatalytic oxidation in sequence; Biodegradation efficiency: S0 is the initial concentration of the pollutant substrate before biodegradation, ΔS is the reduction in substrate concentration during biodegradation; photocatalytic oxidation efficiency: n0 is the amount of pollutant before photocatalytic oxidation, n t is the amount of pollutant after photocatalytic oxidation for t time; Real-time monitoring and control steps: The integrated monitoring module continuously monitors the repair process, and the cloud control decision module dynamically adjusts the operating parameters of the heating, extraction and purification modules according to the monitoring data; the control parameter P regulation According to monitoring data D monitor and repair target G repair OK, the formula is P regulation =o(D monitor , G repair ), o is a functional relationship, indicating the control parameter P regulation Based on monitoring data monitor and repair target G repair to be sure.

8. The in-situ thermal desorption synergistic remediation method applicable to complex contaminated sites according to claim 7, characterized in that: Also includes: Targeted additive injection steps: The targeted additive injection module injects additives wrapped in micro-nano capsules according to the pollution distribution and characteristics, and the injection amount is Q additive ; Determined by the formula based on the degree of pollution and the effect of additives; Q additive =k×C×A×D, where k is a coefficient related to the effect of the additive, C is the pollutant concentration, A is the contaminated area, and D is the contamination depth.

9. The in-situ thermal desorption synergistic remediation method applicable to complex contaminated sites according to claim 7, characterized in that: Also includes: Ecological restoration auxiliary steps: The ecological restoration auxiliary module carries out bioremediation and phytoremediation work on the contaminated site, according to the plant and microbial growth rate formula plant growth rate formula Where W1 and W2 are the plant biomass at time t1 and t2 respectively; the microbial growth rate formula is: μ max is the maximum specific growth rate, S is the limiting substrate concentration, K s is the half-saturation constant.

10. The in-situ thermal desorption synergistic remediation method applicable to complex contaminated sites according to claim 7, characterized in that: Also includes: Effect evaluation and optimization steps: Based on the data and purification effect of the fusion monitoring module, the cloud control decision module evaluates the repair effect; Evaluation Metric E evaluation Related to monitoring data and repair targets, the formula is E evaluation = p(D monitor , G repair ).

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