Soil remediation engineering online monitoring method and system based on sensor technology

Abstract

This application relates to the field of contaminated soil remediation technology, specifically to a method and system for online monitoring of soil remediation projects based on sensor technology. The method includes: real-time acquisition of the moisture content, electrical conductivity, and heavy metal content in the wastewater generated during the soil leaching process for each soil block at various times; calculation of the coagulation assessment value, coagulation accuracy, and discrimination coefficient for each soil block at each time point; screening of all soil blocks to obtain each coagulated block and adjusting the spraying speed of the leaching control system; evaluating the start-up of the electric remediation control system; and controlling the voltage using a PID controller to monitor the contaminated soil remediation process in real time. This application can reduce the impact of soil coagulation differences on contaminated soil remediation and provide real-time monitoring of the remediation process, thereby improving the removal efficiency of heavy metals from contaminated soil and enhancing the overall remediation efficiency.

Description

Technical Field

[0001] This application relates to the field of contaminated soil remediation technology, specifically to a method and system for online monitoring of soil remediation projects based on sensor technology. Background Technology

[0002] With the intensification of industrialization, urbanization and agricultural activities, soil pollution has become increasingly serious. Heavy metals in polluted soil not only damage the soil ecosystem, but may also be transferred to the human body through the food chain, affecting human health and safety.

[0003] Soil remediation typically employs physical, chemical, bioremediation, and combined remediation methods. However, single remediation methods may be limited by soil conditions and yield unsatisfactory remediation results. Therefore, current research focuses on combined remediation methods to improve the remediation effectiveness of contaminated soils. Current research utilizes a combined approach of chemical leaching and electrokinetic remediation for contaminated soil remediation. However, this approach neglects the impact of geological variations caused by soil coagulation during actual remediation, resulting in suboptimal removal of heavy metals from the soil by experimental leaching and electrokinetic remediation parameters, and lacks real-time monitoring of the actual remediation process. Summary of the Invention

[0004] To address the aforementioned technical issues, a method and system for online monitoring of soil remediation projects based on sensor technology are provided to resolve existing problems.

[0005] The solution to the technical problem addressed in this application is to provide an online monitoring method and system for soil remediation projects based on sensor technology, including the following steps: In a first aspect, embodiments of this application provide an online monitoring method for soil remediation projects based on sensor technology, the method comprising the following steps: The contaminated soil in the remediation reaction tank was divided into different soil blocks, and the sensor parameters of each soil block at each time were acquired in real time. Analyze the differences between each soil block and other soil blocks in the same soil layer and soil blocks at the same location in the upper and lower soil layers at each time point, and calculate the coagulation assessment value of each soil block at each time point. By analyzing the dispersion and trend of moisture content in each soil block at each time point within a local time period, the coagulation accuracy of each soil block at each time point is determined; based on the coagulation assessment value and the coagulation accuracy, the discrimination coefficient of each soil block at each time point is determined. Based on the discrimination coefficient, all soil blocks are screened to obtain each aggregate block, and the spraying speed of the rinsing control system is adjusted; the difference in heavy metal content in wastewater at different times is analyzed to evaluate the start-up of the electric remediation control system; after the electric remediation control system is started, the deviation of electrical conductivity between each soil block and its adjacent soil blocks is analyzed, and the voltage is controlled in combination with the PID controller to monitor the contaminated soil remediation process in real time.

[0006] Preferably, the sensor parameters include: The moisture content, electrical conductivity, and heavy metal content of each soil block at various times, as well as the wastewater generated during the soil leaching process.

[0007] Preferably, the calculation of the coagulation assessment value for each soil block at each time point includes: Calculate the average moisture content of all other soil blocks in the same soil layer as any given soil block at each time point; The difference between the average value at each time point and the moisture content of any soil block is recorded as the horizontal water deficit when the difference is greater than zero, and as zero when the difference is less than or equal to zero. Calculate the moisture content of the soil block at the same location in the soil layer above any soil block at each time point, and the difference between the moisture content of the soil block and the moisture content of any soil block. When the difference is greater than zero, it is recorded as the vertical moisture loss, and when the difference is less than or equal to zero, it is recorded as zero. The condensation assessment value is the sum of the horizontal moisture loss and the vertical moisture loss.

[0008] Preferably, determining the coagulation accuracy of each soil block at each time point includes: Obtain the dispersion and trend intensity of the moisture content of the target soil block within a preset sliding time window; The denominator is obtained by summing the product of the discreteness value and the trend intensity value with a preset non-zero compensation parameter; The reciprocal of the denominator term is determined as the solidification accuracy of the target soil block at the corresponding time.

[0009] Preferably, the discrimination coefficient is the product of the coagulation evaluation value and the coagulation accuracy.

[0010] Preferably, obtaining each condensate block includes: Obtain the segmentation threshold of the discrimination coefficient for all soil blocks at each time point; soil blocks with discrimination coefficients greater than the segmentation threshold are denoted as coagulated blocks.

[0011] Preferably, adjusting the spray speed of the rinsing control system includes increasing the spray speed of the nozzle above the location of the condensate block through the rinsing control system.

[0012] Preferably, the evaluation of the activation of the electric repair control system includes: If the difference in heavy metal content between consecutive adjacent time points is less than a preset threshold after continuous spraying of the soil by the leaching control system, the spraying operation of the leaching control system will be stopped and the electric remediation control system will be activated.

[0013] Preferably, the voltage control includes: The remediation reaction tank was divided into multiple voltage-controlled sub-regions, and the soil blocks contained in each voltage-controlled sub-region were determined. Calculate the mean of the absolute values ​​of the electrical conductivity differences between each soil block and its adjacent soil blocks, and record it as the block-level electrical conductivity deviation. Calculate the mean value of the block-level conductivity deviation of all soil blocks in each voltage control sub-region, and denot it as the regional conductivity deviation; The conductivity deviation in the region is used as a feedback value and input to the PID controller. Combined with the preset target conductivity characteristics, the output voltage of the electrode rod is controlled.

[0014] Secondly, embodiments of this application also provide an online monitoring system for soil remediation projects based on sensor technology, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of any of the above-described online monitoring methods for soil remediation projects based on sensor technology.

[0015] This application has at least the following beneficial effects: This application divides contaminated soil into different soil blocks and analyzes the differences in moisture content between different soil blocks within the same soil layer, as well as the differences in moisture content between soil blocks at the same location within different soil layers. It calculates the coagulation assessment value for each soil block at each time point. The beneficial effect is that it considers the differences in moisture content between each soil block and soil blocks in the horizontal and vertical directions, reflecting the coagulation situation within different soil blocks during the chemical leaching process. Secondly, by analyzing the fluctuations and trends in moisture content of each soil block within a local time period, the application determines the coagulation accuracy of each soil block at each time point. The beneficial effect is that it considers the changes in moisture content between soil blocks that have actually coagulated and those that have not, thereby further assessing the possibility of coagulation within each soil block. Finally, it determines the discrimination coefficient for each soil block at each time point, filters all soil blocks to obtain coagulated blocks, and adjusts the spray speed of the leaching control system. The beneficial effect is that it filters out soil blocks that have coagulated, and through leaching... The washing control system increases the spray speed at the location of the coagulated blocks to enhance the removal of heavy metals from the soil. By analyzing the variations in heavy metal content in the wastewater at different times, it determines whether to activate the electro-remediation system. This is beneficial because it considers the differences in heavy metal content in the wastewater to assess the removal effect of the chemical leaching process, indicating that residual heavy metals in the soil cannot be removed by chemical leaching and require further removal through electro-remediation. By monitoring the real-time conductivity deviation between different soil blocks, the PID controller in the electro-remediation control system adjusts the voltage. This is beneficial because it considers the differences in conductivity caused by soil coagulation, allowing for the application of different electric fields to different soil blocks to remove residual heavy metals. This reduces the impact of soil coagulation differences on contaminated soil remediation and provides real-time monitoring of the remediation process, thereby improving the removal effect of heavy metals in contaminated soil and enhancing the remediation efficiency. Attached Figure Description

[0016] The online monitoring method for soil remediation projects based on sensor technology of this application will be further described in detail below with reference to the accompanying drawings.

[0017] Figure 1 A flowchart illustrating the steps of an online monitoring method for soil remediation projects based on sensor technology provided in this application embodiment; Figure 2 This is a schematic diagram of chemical leaching of contaminated soil provided in an embodiment of this application; Figure 3 A flowchart illustrating the steps of the method for obtaining the coagulation assessment value of any soil block at various times, as provided in the embodiments of this application; Figure 4A flowchart illustrating the steps of the method for obtaining the discrimination coefficient of each soil block at each time point, as provided in the embodiments of this application. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description of the online monitoring method and system for soil remediation engineering based on sensor technology proposed in this application, in conjunction with the accompanying drawings and implementation examples, is provided. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains.

[0020] Please see Figure 1 The diagram illustrates a flowchart of an online monitoring method for soil remediation projects based on sensor technology, according to an embodiment of this application. The method includes the following steps: Step 1: Divide the contaminated soil in the remediation reaction tank into different soil blocks and acquire the sensor parameters of each soil block at each time in real time.

[0021] Heavy metals in contaminated soil cannot be degraded by microorganisms; they can only migrate and transform, thus affecting the soil's physicochemical properties and microbial community structure, thereby disrupting the normal soil ecological structure and function, and potentially harming human health and life through the food chain. Therefore, remediation of heavy metal-contaminated soil is necessary. Physicochemical methods can be used to remediate heavy metal-contaminated soil, including electrokinetic remediation, electrothermal remediation, and leaching. To better remove heavy metals from soil, a combined remediation approach of chemical leaching and electrokinetic remediation is employed to achieve the goal of remediating contaminated soil. In this combined remediation, heavy metals are first removed from the contaminated soil through chemical leaching, and then electrokinetic remediation is used for any remaining heavy metals.

[0022] Land contaminated with heavy metals is excavated and transported to a remediation reaction tank using specialized sealed transport vehicles. Smart sensors are deployed in the remediation reaction tank, dividing the contaminated soil into multiple soil layers according to depth. Each soil layer is then divided into horizontal grids, with each grid corresponding to a soil block. A smart sensor is deployed within each soil block to collect real-time data on the soil's moisture content and electrical conductivity, thus obtaining the moisture content and electrical conductivity of each soil block. In this embodiment, it is assumed that the volume of contaminated soil in the remediation reaction tank is 10m×10m×10m. One smart sensor is deployed in each cubic meter of soil in the contaminated soil, that is, the contaminated soil is evenly divided into 1000 soil blocks, wherein the number of soil layers is 10, and the data collection time interval of the smart sensor is 1 minute. As other implementation methods, the implementer can set them according to the actual situation.

[0023] At the bottom of the remediation reaction tank, there is a pipe. A chemical leaching agent is sprayed onto the contaminated soil in the remediation reaction tank through a spray control device. The leaching agent undergoes chemical reactions such as complexation, precipitation and dissolution with the heavy metal ions in the soil, causing the heavy metal ions to migrate from the soil pores into the wastewater solution along with the leaching liquid. The wastewater at the bottom of the remediation reaction tank continuously flows into the wastewater recovery tank through the pipe. Therefore, the heavy metal content of the wastewater in the pipe at the bottom of the remediation reaction tank is collected in real time by a heavy metal detector. In this embodiment, a mixture of ferric chloride and potassium nitrate is used as a chemical rinsing agent. In other embodiments, the implementer may use other chemical rinsing agents, such as ferric nitrate and potassium chloride, etc. This embodiment does not impose any special restrictions on this.

[0024] The schematic diagram of chemical leaching of contaminated soil provided in this embodiment is as follows: Figure 2 As shown, where, Figure 2 In the diagram, A represents contaminated soil, B represents the leaching agent delivery pipeline, C represents the nozzle, D represents the smart sensor, E represents the wastewater collection pipeline, F represents the leaching control system, H represents the wastewater recovery tank, and G represents the heavy metal detector.

[0025] Thus, the moisture content and electrical conductivity of each soil block at each time point, as well as the heavy metal content of the wastewater at each time point, are obtained.

[0026] Step 2: Analyze the differences between each soil block and other soil blocks in the same soil layer and soil blocks at the same location in the upper and lower soil layers at each time point, and calculate the coagulation assessment value of each soil block at each time point.

[0027] In the process of remediating contaminated soil, the degree of soil compaction will affect the remediation effect. For soil that is excessively compacted, due to the severe internal compaction, the chemical leaching process will not be sufficient, resulting in a high residual content of heavy metal pollutants.

[0028] Traditional remediation monitoring methods mostly rely on sampling and analysis to measure the heavy metal content in the soil. However, due to insufficient coverage of the sampling and analysis, there are deviations from the actual soil conditions, and the methods cannot reflect the impact of differences in soil coagulation on the remediation effect.

[0029] During chemical leaching, as the leaching solution is initially sprayed through nozzles, the soil moisture content gradually increases. Due to the continuous penetration of the leaching solution into the soil, moisture is transferred from the surface layer to the subsurface. Therefore, within the same soil layer, the difference in soil moisture content is relatively small. However, at the same location, the change in moisture content between different depths exhibits a transferable effect; that is, after a period of infiltration, the moisture content in the upper soil layer gradually increases in the lower soil layer. The moisture change in the lower soil layer lags behind that of the upper soil layer, but eventually reaches or approaches the moisture level of the upper soil layer. Therefore, when soil compaction occurs in a certain soil layer, the leaching solution cannot penetrate effectively into that soil, affecting the removal efficiency of heavy metals.

[0030] Based on the above analysis, by analyzing the differences in moisture content between each soil block and the remaining soil blocks in the horizontal and vertical directions, a coagulation assessment value is calculated to reflect the soil coagulation situation. The flowchart of the method for obtaining the coagulation assessment value of any soil block at each time point provided in this application embodiment is shown below. Figure 3 As shown.

[0031] In this embodiment, the degree of moisture deficiency of each soil block relative to the environment is analyzed, specifically as follows: Calculate the average moisture content of all other soil blocks in the same soil layer as any given soil block at each time point; Obtain the difference between this average value and the current soil moisture content. If the difference is >0, it indicates that the point is drier than the surrounding area and there may be compaction that prevents the leachate from penetrating. Record this positive difference as the horizontal moisture loss. If the difference is ≤0, it indicates that the moisture content at this point is normal or there is water accumulation. In this case, the horizontal moisture loss is recorded as 0.

[0032] Similarly, the difference between the moisture content of the current soil block and the moisture content of the same location in the previous soil layer, and the difference that is greater than 0, is the vertical water loss.

[0033] The condensation assessment value is the sum of the horizontal moisture loss and the vertical moisture loss.

[0034] By using the above-mentioned one-way differential logic, it is possible to effectively avoid misjudging soil blocks with abnormally high moisture content due to positive drift of sensor readings or local water accumulation as solidified blocks. This avoids the risk of secondary pollution spread caused by blindly increasing spraying in areas that are already waterlogged, making the control process more targeted and safer.

[0035] Thus, the coagulation assessment value of any soil block at each time point is obtained.

[0036] Step 3: Determine the coagulation accuracy of each soil block at each time point by analyzing the dispersion and trend of moisture content in each soil block within a local time period; determine the discrimination coefficient of each soil block at each time point based on the coagulation assessment value and the coagulation accuracy.

[0037] Furthermore, the flowchart of the method for obtaining the discrimination coefficient of each soil block at each time point provided in the embodiments of this application is as follows: Figure 4 As shown.

[0038] Furthermore, in actual soil remediation processes, leaching agents can alter the chemical environment of the soil, causing heavy metals in the soil to undergo reactions such as complexation and precipitation. This may affect the measurements taken by the probes on the smart sensors, thereby affecting the judgment of soil coagulation within the soil blocks, thus requiring the verification of the authenticity of soil coagulation within each soil block.

[0039] For soil clumps that actually solidified, the internal structure of the soil was relatively compact and stable, and the moisture content within the soil clump did not fluctuate significantly as the leachate was sprayed and infiltrated. However, during the entire spraying process, the moisture content of the non-solidified soil clumps showed a clear upward trend.

[0040] Therefore, by analyzing the fluctuations and trends in the moisture content of each soil block at different times, the accuracy of condensation is determined, specifically as follows: Obtain the dispersion and trend intensity of the moisture content of the target soil block within a preset sliding time window; Each moment and the multiple moments preceding it are recorded as a time window; In this embodiment, each moment and the 20 moments preceding it are recorded as a time window. In other implementation methods, the implementer can set the time window according to the actual situation.

[0041] In this embodiment, the degree of dispersion is measured by calculating the variance of the moisture content of each soil block at all times within the time window. As an alternative implementation, the implementer may use other methods of the prior art, such as standard deviation, coefficient of variation, etc. This embodiment does not impose any special restrictions on this.

[0042] In this embodiment, the STL (Seasonal and Trend decomposition using Loess) algorithm is used for trend decomposition. The STL algorithm is a well-known technique and will not be elaborated upon here. Secondly, the STL algorithm decomposes the moisture content of each soil block at all times within the stated time window into a trend sequence and a residual sequence. The formula for calculating the trend strength is as follows: ,in, The trend strength over time window T. Let V be the variance of the residual sequence. The variances of the trend series and the residual series are given. To find the maximum value; the formula for calculating the trend strength is a well-known technique and will not be elaborated here.

[0043] The denominator is obtained by summing the product of the discreteness value and the trend intensity value with a preset non-zero compensation parameter; The reciprocal of the denominator term is determined as the solidification accuracy of the target soil block at the corresponding time.

[0044] In this embodiment, the formula for calculating the coagulation fidelity is as follows: ,in, This indicates the degree of dispersion of moisture content within the time window T. This indicates the strength of the trend within the time window T. This is a preset minimum normal number. By introducing a minimum normal number, when the soil becomes completely compacted and the moisture content remains constant during the sampling period, the denominator of the formula will not become invalid due to the product being zero.

[0045] It should be noted that if the length of the time window is less than 20, the condensation accuracy is assigned a value of 1.

[0046] It should be noted that the smaller the dispersion, the smaller the fluctuation of moisture content in each soil block, and the greater the possibility of soil condensation in the corresponding soil block; the smaller the trend intensity, the less significant the trend change characteristics of moisture content in each soil block, and the greater the possibility of soil condensation in the corresponding soil block. By calculating the reciprocal, the greater the accuracy of condensation, the more likely the corresponding soil block is to experience soil condensation.

[0047] Furthermore, a discrimination coefficient is determined based on the coagulation assessment value and the coagulation accuracy to judge the coagulation status of the soil block, specifically as follows: The product of the coagulation assessment value and the coagulation accuracy is used as the discrimination coefficient for each soil block at each time point; It should be noted that the larger the discrimination coefficient, the more likely the corresponding soil block is to undergo soil coagulation.

[0048] Thus, the discrimination coefficients for each soil block at each time point are obtained.

[0049] Step 4: Based on the discrimination coefficient, all soil blocks are screened to obtain each aggregate block, and the spraying speed of the rinsing control system is adjusted; the difference in heavy metal content in wastewater at different times is analyzed, and the start-up of the electric remediation control system is evaluated; after the electric remediation control system is started, the deviation of the electrical conductivity of each soil block and its adjacent soil blocks is analyzed, and the voltage is controlled in combination with the PID controller to monitor the contaminated soil remediation process in real time.

[0050] Furthermore, based on the aforementioned discrimination coefficient, the soil blocks are screened, specifically as follows: Obtain the segmentation threshold of the discrimination coefficient of all soil blocks at each time point; soil blocks with discrimination coefficients greater than the segmentation threshold are denoted as coagulated blocks; In this embodiment, the Otsu threshold segmentation algorithm is used to obtain the segmentation threshold. The Otsu threshold segmentation algorithm is a well-known technology and will not be described in detail here. As other implementation methods, implementers can use other methods of the prior art, such as cross-validation, etc. This embodiment does not impose any special restrictions on this.

[0051] Secondly, based on the location information of the condensate, the spraying speed of the nozzle is adjusted. Secondly, during the chemical leaching process, the heavy metal content in the wastewater is initially measured to be high. As the chemical leaching continues, the heavy metal content in the wastewater will continue to decrease. When the heavy metal content measured at multiple times no longer decreases, it indicates that the chemical leaching process can no longer remove the heavy metals in the soil. The electric remediation control device can be activated to further remove the residual heavy metals in the soil through electric remediation.

[0052] The rinsing control system increases the spraying speed of the nozzles above the location of the agglomerates. When the soil is continuously rinsed by the rinsing control system, if the difference between the heavy metal content at multiple consecutive adjacent times is less than a preset threshold, the rinsing control system stops spraying and the electric remediation control system is activated. In this embodiment, if the absolute value of the difference between the heavy metal content at 30 consecutive adjacent time points is less than a preset threshold, wherein the preset threshold is 0.3 mg / L, then the spraying operation of the rinsing control system is stopped. As another implementation method, the implementer can set it according to the actual situation.

[0053] Electrode rods are inserted into the soil in the remediation reaction tank. After the electric remediation control system is activated, a DC electric field is formed between the anode and cathode electrode rods. The DC electric field drives the residual heavy metal ions in the soil to move towards the cathode of the electrode rod, so as to adsorb the heavy metal ions.

[0054] It should be noted that after chemical spraying, the soil is relatively moist and can be considered as an electrolyte. Applying a DC electric field to the soil at this time can improve the removal effect of heavy metals in the soil.

[0055] Secondly, during the electrostatic remediation process, due to differences in soil coagulation, there may be variations in the electrical conductivity of the soil at different locations. Therefore, it is necessary to apply different electric fields to the electrode rods located at different soil positions based on the electrical conductivity of different soil blocks. Specifically: The remediation reaction tank was divided into multiple voltage-controlled sub-regions, and the soil blocks contained in each voltage-controlled sub-region were determined. In actual engineering implementation, the entire reaction tank is first divided into several voltage-controlled sub-zones based on the physical distribution of the electrode rods and the effective coverage of the electric field. A logical mapping relationship is then established between each voltage-controlled sub-zone and all the soil block grids within that zone. Each group of electrode rods acts as an independent execution unit, responsible for the electrodynamic remediation of its corresponding voltage-controlled sub-zone.

[0056] Calculate the mean absolute value of the conductivity difference between each soil block and its adjacent soil blocks, and record it as the block-level conductivity deviation; calculate the mean value of the block-level conductivity deviation of all soil blocks in each voltage control sub-region, and record it as the regional conductivity deviation.

[0057] The block-level conductivity deviation of all soil blocks within each voltage control sub-region is acquired in real time. To accurately characterize the overall compaction and ion migration obstruction in this region, the arithmetic mean of the block-level conductivity deviation of all soil blocks in this region is calculated and defined as the regional conductivity deviation, which serves as the feedback signal for subsequent control.

[0058] The conductivity deviation in the region is used as a feedback value and input to the PID controller. Combined with the preset target conductivity characteristics, the output voltage of the electrode rod is controlled.

[0059] Specifically, the regional conductivity deviation is input into a preset PID control algorithm. The PID controller outputs a voltage regulation command in real time based on the difference between the given value and the feedback value through proportional (P), integral (I), and derivative (D) calculations; wherein, the given value is set as the expected target conductivity characteristic, and the feedback value is the regional conductivity deviation.

[0060] The voltage regulation command acts on the power drive module of the corresponding area electrode rod, dynamically adjusting the DC output voltage between the electrodes. When the regional conductivity deviation increases (indicating that the degree of compaction in the area has intensified or that abnormal moisture content has led to a decrease in conductivity), the PID controller increases the output voltage to enhance the electroosmotic flow and electromigration effects; when the regional conductivity deviation tends to the target range, the PID controller reduces the output fluctuation and maintains a steady-state voltage, thereby optimizing the energy efficiency ratio while ensuring the repair effect.

[0061] Based on the same inventive concept as the above methods, this application also provides an online monitoring system for soil remediation projects based on sensor technology, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of any one of the above-described online monitoring methods for soil remediation projects based on sensor technology.

[0062] It should be understood that, although Figure 1 The steps in the flowchart are shown sequentially as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order in which these steps are executed, and they can be performed in other orders. Figure 1 At least some of the steps in the process may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.

[0063] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0064] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application. Therefore, any simple modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of this application, without departing from the content of the technical solution of this application, shall fall within the protection scope of the technical solution of this application.

Claims

1. A method for online monitoring of soil remediation projects based on sensor technology, characterized in that, The method includes the following steps: The contaminated soil in the remediation reaction tank was divided into different soil blocks, and the sensor parameters of each soil block at each time were acquired in real time. Analyze the differences between each soil block and other soil blocks in the same soil layer and soil blocks at the same location in the upper and lower soil layers at each time point, and calculate the coagulation assessment value of each soil block at each time point. By analyzing the dispersion and trend of moisture content in each soil block at each time point within a local time period, the coagulation accuracy of each soil block at each time point is determined; based on the coagulation assessment value and the coagulation accuracy, the discrimination coefficient of each soil block at each time point is determined. Based on the discrimination coefficient, all soil blocks are screened to obtain each aggregate block, and the spraying speed of the rinsing control system is adjusted; the difference in heavy metal content in wastewater at different times is analyzed to evaluate the start-up of the electric remediation control system; after the electric remediation control system is started, the deviation of electrical conductivity between each soil block and its adjacent soil blocks is analyzed, and the voltage is controlled in combination with the PID controller to monitor the contaminated soil remediation process in real time.

2. The online monitoring method for soil remediation projects based on sensor technology as described in claim 1, characterized in that, The sensor parameters include: The moisture content, electrical conductivity, and heavy metal content of each soil block at various times, as well as the wastewater generated during the soil leaching process.

3. The online monitoring method for soil remediation projects based on sensor technology as described in claim 1, characterized in that, The calculation of the coagulation assessment value for each soil block at each time point includes: Calculate the average moisture content of all other soil blocks in the same soil layer as any given soil block at each time point; The difference between the average value at each time point and the moisture content of any soil block is recorded as the horizontal water deficit when the difference is greater than zero, and as zero when the difference is less than or equal to zero. Calculate the moisture content of the soil block at the same location in the soil layer above any soil block at each time point, and the difference between the moisture content of the soil block and the moisture content of any soil block. When the difference is greater than zero, it is recorded as the vertical moisture loss, and when the difference is less than or equal to zero, it is recorded as zero. The condensation assessment value is the sum of the horizontal moisture loss and the vertical moisture loss.

4. The online monitoring method for soil remediation projects based on sensor technology as described in claim 1, characterized in that, Determining the coagulation accuracy of each soil block at each time point includes: Obtain the dispersion and trend intensity of the moisture content of the target soil block within a preset sliding time window; The denominator is obtained by summing the product of the dispersion value and the trend intensity value with a preset non-zero compensation parameter; The reciprocal of the denominator term is determined as the solidification accuracy of the target soil block at the corresponding time.

5. The online monitoring method for soil remediation projects based on sensor technology as described in claim 1, characterized in that, The discrimination coefficient is the product of the coagulation evaluation value and the coagulation accuracy.

6. The online monitoring method for soil remediation projects based on sensor technology as described in claim 1, characterized in that, The process of obtaining each condensate block includes: Obtain the segmentation threshold of the discrimination coefficient for all soil blocks at each time point; soil blocks with discrimination coefficients greater than the segmentation threshold are denoted as coagulated blocks.

7. The online monitoring method for soil remediation projects based on sensor technology as described in claim 1, characterized in that, Adjusting the spray speed of the rinsing control system includes increasing the spray speed of the nozzle above the location of the condensate block through the rinsing control system.

8. The online monitoring method for soil remediation projects based on sensor technology as described in claim 1, characterized in that, The evaluation of the activation of the electric repair control system includes: If the difference in heavy metal content between consecutive adjacent time points is less than a preset threshold after continuous spraying of the soil by the leaching control system, the spraying operation of the leaching control system will be stopped and the electric remediation control system will be activated.

9. The online monitoring method for soil remediation projects based on sensor technology as described in claim 1, characterized in that, The voltage control includes: The remediation reaction tank was divided into multiple voltage-controlled sub-regions, and the soil blocks contained in each voltage-controlled sub-region were determined. Calculate the mean of the absolute values ​​of the electrical conductivity differences between each soil block and its adjacent soil blocks, and record it as the block-level electrical conductivity deviation. Calculate the mean value of the block-level conductivity deviation of all soil blocks in each voltage control sub-region, and denot it as the regional conductivity deviation; The conductivity deviation in the region is used as a feedback value and input to the PID controller. Combined with the preset target conductivity characteristics, the output voltage of the electrode rod is controlled.

10. An online monitoring system for soil remediation projects based on sensor technology, the system comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the online monitoring method for soil remediation projects based on sensor technology as described in any one of claims 1-9.

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