In-situ soil remediation intelligent monitoring method based on temperature data

Abstract

The invention discloses an in-situ soil remediation intelligent monitoring method based on temperature data, and relates to the technical field of soil monitoring, and the method comprises the following steps: S1, setting a plurality of temperature measurement points in each in-situ soil layer of remedied in-situ soil, and obtaining a temperature set; s2, determining a plurality of temperature correlation parameters based on the temperature set, and calculating a center loss temperature value according to the plurality of temperature correlation parameters; and S3, determining a temperature threshold value of each in-situ soil layer by using the central loss temperature value, and generating a repair monitoring result by using the temperature threshold values. The generation of the remediation monitoring result is helpful for management personnel to take targeted soil remediation measures in time, and the soil remediation efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of soil monitoring, and in particular to an intelligent in-situ soil remediation monitoring method based on temperature data. Background Art

[0002] In-situ soil remediation technology involves remediating contaminated soil directly at the site without excavating or transferring it. However, the temperature distribution of the soil during the thermal treatment process is crucial to the effectiveness of the remediation process. Excessively high temperatures can damage the soil structure, while excessively low temperatures may not effectively remove contaminants. Therefore, real-time monitoring of soil temperature is crucial for optimizing the remediation process and improving its efficiency. However, existing monitoring methods mostly rely on manual analysis, which can lead to problems such as long monitoring cycles, discontinuous data, and delayed response times. Summary of the Invention

[0003] In order to solve the above problems, the present invention proposes an in-situ soil remediation intelligent monitoring method based on temperature data.

[0004] The technical solution of the present invention is: an intelligent monitoring method for in-situ soil remediation based on temperature data comprises the following steps:

[0005] S1. Setting a number of temperature measurement points in each in-situ soil layer of the restored in-situ soil to obtain a temperature set;

[0006] S2. determining a plurality of temperature-related parameters based on the temperature set, and calculating a center loss temperature value based on the plurality of temperature-related parameters;

[0007] S3. Use the central loss temperature value to determine the temperature threshold of each in-situ soil layer, and use the temperature threshold to generate the restoration monitoring results.

[0008] Furthermore, S1 includes the following sub-steps:

[0009] S11, stratifying the restored in-situ soil to obtain several in-situ soil layers;

[0010] S12, gridding each in-situ soil layer to obtain a plurality of three-dimensional grids in each in-situ soil layer;

[0011] S13. The centroids of all three-dimensional grids are used as temperature measurement points. Temperature sensors are installed at each temperature measurement point. The temperature values of each three-dimensional grid are collected using each temperature sensor to obtain a temperature set of the restored in-situ soil.

[0012] The beneficial effect of the above further solution is that, in the present invention, by stratifying and gridding the remediated in-situ soil, the soil can be divided into smaller and more specific monitoring units. This approach can capture more subtle temperature changes within the soil, thereby improving monitoring accuracy.

[0013] Furthermore, S2 includes the following sub-steps:

[0014] S21, obtaining the three-dimensional grid where the maximum temperature value and the three-dimensional grid where the minimum temperature value are located in the temperature concentration;

[0015] S22, connecting the centroid of the three-dimensional grid where the maximum temperature value is located with the centroid of the three-dimensional grid where the minimum temperature value is located, and using the result as the diameter of the temperature sphere, thereby constructing the temperature sphere;

[0016] S23, taking the three-dimensional grid contained in the temperature sphere as the associated area;

[0017] S24. Calculate temperature correlation parameters of the remaining three-dimensional grids except the three-dimensional grid where the center of the temperature sphere is located according to the correlation area;

[0018] S25. Calculating the loss temperature values of the remaining three-dimensional grids based on the temperature correlation parameters of the remaining three-dimensional grids;

[0019] S26. Calculate the average of the loss temperature values of the remaining three-dimensional grids and the temperature value of the three-dimensional grid at the center of the temperature sphere to obtain the center loss temperature value.

[0020] The beneficial effect of the above further scheme is: in the present invention, a temperature sphere is constructed by connecting the centroid of the three-dimensional grid where the maximum temperature value is located and the centroid of the three-dimensional grid where the minimum temperature value is located as the diameter, and the temperature correlation parameters of the remaining three-dimensional grids except the three-dimensional grid where the center of the temperature sphere is located are calculated, which can reflect the mutual influence of temperature changes between the three-dimensional grids. By calculating the average of the loss temperature values of the remaining three-dimensional grids and the temperature value of the three-dimensional grid where the center of the temperature sphere is located, the central loss temperature value is obtained, which comprehensively reflects the overall influence of the soil temperature distribution.

[0021] Further, in S24, the remaining Temperature-related parameters of a three-dimensional grid The calculation formula is:

[0022] ;

[0023] Where, Represents the associated area, represents the maximum temperature value of the temperature set, represents the minimum temperature value of the temperature set, Indicates the temperature value of the three-dimensional grid at the center of the temperature sphere. It means taking a random number between 0 and 1. Indicates the remaining The temperature value of the three-dimensional grid, Indicates the remaining A three-dimensional grid.

[0024] Further, in S25, the remaining The loss temperature value of a three-dimensional grid The calculation formula is:

[0025] ;

[0026] Where, Indicates the remaining The temperature correlation parameters of the three-dimensional grid, Indicates the remaining The temperature value of the three-dimensional grid, Indicates the remaining The temperature correlation parameters of the three-dimensional grid above the three-dimensional grid, Indicates the remaining The temperature value of the three-dimensional grid above the three-dimensional grid, Indicates the remaining The temperature correlation parameters of the three-dimensional grid below the three-dimensional grid, Indicates the remaining The temperature value of the three-dimensional grid below the three-dimensional grid, Indicates the remaining The temperature correlation parameters of the left three-dimensional grid are: Indicates the remaining The temperature value of the left grid of the grid, Indicates the remaining The temperature correlation parameters of the three-dimensional grid on the right side of the three-dimensional grid, Indicates the remaining The temperature value of the right grid of the grid, Indicates taking the maximum value, Indicates taking the minimum value.

[0027] Furthermore, S3 includes the following sub-steps:

[0028] S31, obtaining the net heat flux of the first in-situ soil layer;

[0029] S32, calculating the heat flux of each remaining in-situ soil layer;

[0030] S32. Determine the conductivity of each of the remaining in-situ soil layers based on the net heat flux of the first in-situ soil layer and the heat flux of each of the remaining in-situ soil layers;

[0031] S33. Based on the center loss temperature value and the conductivity of each remaining in-situ soil layer, the corresponding temperature threshold is calculated for each remaining in-situ soil layer. If there is a three-dimensional grid with a temperature value greater than the temperature threshold in each remaining in-situ soil layer, the restoration monitoring result of the restored in-situ soil is abnormal.

[0032] The beneficial effect of the above-mentioned further solution is as follows: In the present invention, by obtaining the net heat flux of the first in-situ soil layer and calculating the heat flux of each remaining in-situ soil layer, the heat flow in the soil is understood, which facilitates accurate judgment of the heat distribution and transfer efficiency in the soil. Conductivity is an important indicator of soil thermal conductivity, reflecting the soil's ability to transfer heat. By calculating the corresponding temperature threshold based on the core loss temperature value and the conductivity of each remaining in-situ soil layer, a sensitive monitoring indicator can be set. When the temperature value of a three-dimensional grid in the soil exceeds this threshold, it means that there may be problems or abnormalities in the soil remediation.

[0033] Further, in S31, the remaining Heat flux in the in situ soil layer The expression is:

[0034] ;

[0035] Where, represents the thermal conductivity of the remediated in-situ soil, Indicates the remaining The height of the bottom of the in-situ soil layer from the ground surface, Indicates the remaining The average temperature value of all three-dimensional grids in the in-situ soil layer.

[0036] Further, in S32, the remaining Conductivity of in-situ soil layers The calculation formula is:

[0037] ;

[0038] Where, Indicates the remaining The heat flux of the in situ soil layer, Indicates the remaining The heat flux of the in situ soil layer, Indicates the remaining The heat flux of the in situ soil layer, represents the net heat flux to the first in situ soil layer.

[0039] Further, in S33, the remaining Temperature threshold of the in situ soil layer The calculation formula is:

[0040] ;

[0041] Where, Indicates the core loss temperature value, Indicates the remaining Conductivity of an in situ soil layer.

[0042] The beneficial effects of the present invention are as follows: the present invention sets a number of temperature measuring points in each in-situ soil layer, which can ensure that the soil temperature is comprehensively and accurately monitored; based on the temperature set collected by the temperature measuring points, a number of temperature-related parameters are determined using a temperature sphere to reflect the mutual influence and change trend between soil temperatures; then the temperature threshold of each in-situ soil layer is determined by the central loss temperature value, the impact of soil temperature anomalies on the overall temperature distribution is quantified, soil temperature anomalies are discovered in a timely manner, and the timeliness of monitoring is improved; the generation of remediation monitoring results helps management personnel to take targeted soil remediation measures in a timely manner, thereby improving soil remediation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 Flowchart of the intelligent monitoring method for in situ soil remediation based on temperature data. DETAILED DESCRIPTION

[0044] The embodiments of the present invention will be further described below with reference to the accompanying drawings.

[0045] like Figure 1 As shown, the present invention provides an intelligent monitoring method for in-situ soil remediation based on temperature data, comprising the following steps:

[0046] S1. Setting a number of temperature measurement points in each in-situ soil layer of the restored in-situ soil to obtain a temperature set;

[0047] S2. determining a plurality of temperature-related parameters based on the temperature set, and calculating a center loss temperature value based on the plurality of temperature-related parameters;

[0048] S3. Use the central loss temperature value to determine the temperature threshold of each in-situ soil layer, and use the temperature threshold to generate the restoration monitoring results.

[0049] In this embodiment of the present invention, S1 includes the following sub-steps:

[0050] S11, stratifying the restored in-situ soil to obtain several in-situ soil layers;

[0051] S12, gridding each in-situ soil layer to obtain a plurality of three-dimensional grids in each in-situ soil layer;

[0052] S13. The centroids of all three-dimensional grids are used as temperature measurement points. Temperature sensors are installed at each temperature measurement point. The temperature values of each three-dimensional grid are collected using each temperature sensor to obtain a temperature set of the restored in-situ soil.

[0053] In the present invention, by stratifying and gridding the restored in-situ soil, the soil can be divided into smaller and more specific monitoring units. This approach can capture more subtle temperature changes within the soil, thereby improving monitoring accuracy.

[0054] In this embodiment of the present invention, S2 includes the following sub-steps:

[0055] S21, obtaining the three-dimensional grid where the maximum temperature value and the three-dimensional grid where the minimum temperature value are located in the temperature concentration;

[0056] S22, connecting the centroid of the three-dimensional grid where the maximum temperature value is located with the centroid of the three-dimensional grid where the minimum temperature value is located, and using the result as the diameter of the temperature sphere, thereby constructing the temperature sphere;

[0057] S23, taking the three-dimensional grid contained in the temperature sphere as the associated area;

[0058] S24. Calculate temperature correlation parameters of the remaining three-dimensional grids except the three-dimensional grid where the center of the temperature sphere is located according to the correlation area;

[0059] S25. Calculating the loss temperature values of the remaining three-dimensional grids based on the temperature correlation parameters of the remaining three-dimensional grids;

[0060] S26. Calculate the average of the loss temperature values of the remaining three-dimensional grids and the temperature value of the three-dimensional grid at the center of the temperature sphere to obtain the center loss temperature value.

[0061] In the present invention, a temperature sphere is constructed by connecting the centroid of the three-dimensional grid where the maximum temperature value is located with the centroid of the three-dimensional grid where the minimum temperature value is located as the diameter, and the temperature correlation parameters of the remaining three-dimensional grids except the three-dimensional grid where the center of the temperature sphere is located are calculated, which can reflect the mutual influence of temperature changes between the three-dimensional grids. By calculating the average of the loss temperature values of the remaining three-dimensional grids and the temperature value of the three-dimensional grid where the center of the temperature sphere is located, the central loss temperature value is obtained, which comprehensively reflects the overall influence of soil temperature distribution.

[0062] In the embodiment of the present invention, in S24, the remaining Temperature-related parameters of a three-dimensional grid The calculation formula is:

[0063] ;

[0064] Where, Represents the associated area, represents the maximum temperature value of the temperature set, represents the minimum temperature value of the temperature set, Indicates the temperature value of the three-dimensional grid at the center of the temperature sphere. It means taking a random number between 0 and 1. Indicates the remaining The temperature value of the three-dimensional grid, Indicates the remaining A three-dimensional grid.

[0065] In the embodiment of the present invention, in S25, the remaining The loss temperature value of a three-dimensional grid The calculation formula is:

[0066] ;

[0067] Where, Indicates the remaining The temperature correlation parameters of the three-dimensional grid, Indicates the remaining The temperature value of the three-dimensional grid, Indicates the remaining The temperature correlation parameters of the three-dimensional grid above the three-dimensional grid, Indicates the remaining The temperature value of the three-dimensional grid above the three-dimensional grid, Indicates the remaining The temperature correlation parameters of the three-dimensional grid below the three-dimensional grid, Indicates the remaining The temperature value of the three-dimensional grid below the three-dimensional grid, Indicates the remaining The temperature correlation parameters of the left three-dimensional grid are: Indicates the remaining The temperature value of the left grid of the grid, Indicates the remaining The temperature correlation parameters of the three-dimensional grid on the right side of the three-dimensional grid, Indicates the remaining The temperature value of the right grid of the grid, Indicates taking the maximum value, Indicates taking the minimum value.

[0068] In this embodiment of the present invention, S3 includes the following sub-steps:

[0069] S31, obtaining the net heat flux of the first in-situ soil layer;

[0070] S32, calculating the heat flux of each remaining in-situ soil layer;

[0071] S32. Determine the conductivity of each of the remaining in-situ soil layers based on the net heat flux of the first in-situ soil layer and the heat flux of each of the remaining in-situ soil layers;

[0072] S33. Based on the center loss temperature value and the conductivity of each remaining in-situ soil layer, the corresponding temperature threshold is calculated for each remaining in-situ soil layer. If there is a three-dimensional grid with a temperature value greater than the temperature threshold in each remaining in-situ soil layer, the restoration monitoring result of the restored in-situ soil is abnormal.

[0073] In the present invention, by obtaining the net heat flux of the first in-situ soil layer and calculating the heat flux of each remaining in-situ soil layer, the heat flow in the soil is understood, which is conducive to accurately determining the heat distribution and transfer efficiency in the soil. Conductivity is an important indicator of soil thermal conductivity and reflects the soil's ability to transfer heat. By calculating the corresponding temperature threshold based on the central loss temperature value and the conductivity of each remaining in-situ soil layer, a sensitive monitoring indicator can be set. When the temperature value of a three-dimensional grid in the soil exceeds this threshold, it means that there may be problems or abnormalities in the soil remediation.

[0074] In the embodiment of the present invention, in S31, the remaining Heat flux in the in situ soil layer The expression is:

[0075] ;

[0076] Where, represents the thermal conductivity of the remediated in-situ soil, Indicates the remaining The height of the bottom of the in-situ soil layer from the ground surface, Indicates the remaining The average temperature value of all three-dimensional grids in the in-situ soil layer.

[0077] In the embodiment of the present invention, in S32, the remaining Conductivity of in-situ soil layers The calculation formula is:

[0078] ;

[0079] Where, Indicates the remaining The heat flux of the in situ soil layer, Indicates the remaining The heat flux of the in situ soil layer, Indicates the remaining The heat flux of the in situ soil layer, represents the net heat flux to the first in situ soil layer.

[0080] In the embodiment of the present invention, in S33, the remaining Temperature threshold of the in situ soil layer The calculation formula is:

[0081] ;

[0082] Where, Indicates the core loss temperature value, Indicates the remaining Conductivity of an in situ soil layer.

[0083] Those skilled in the art will appreciate that the embodiments described herein are intended to help readers understand the principles of the present invention, and it should be understood that the scope of protection of the present invention is not limited to such specific descriptions and embodiments. Those skilled in the art can make various other specific variations and combinations based on the technical teachings disclosed in the present invention without departing from the essence of the present invention, and such variations and combinations are still within the scope of protection of the present invention.

Claims

1. An intelligent monitoring method for in-situ soil remediation based on temperature data, characterized in that: The following steps are involved: S1. Setting a number of temperature measurement points in each in-situ soil layer of the restored in-situ soil to obtain a temperature set; S2. determining a plurality of temperature-related parameters based on the temperature set, and calculating a center loss temperature value based on the plurality of temperature-related parameters; S3. Use the central loss temperature value to determine the temperature threshold of each in-situ soil layer, and use the temperature threshold to generate the restoration monitoring results.

2. The in-situ soil remediation intelligent monitoring method based on temperature data according to claim 1 is characterized in that: The S1 comprises the following sub-steps: S11, stratifying the restored in-situ soil to obtain several in-situ soil layers; S12, gridding each in-situ soil layer to obtain a plurality of three-dimensional grids in each in-situ soil layer; S13. The centroids of all three-dimensional grids are used as temperature measurement points. Temperature sensors are installed at each temperature measurement point. The temperature values of each three-dimensional grid are collected using each temperature sensor to obtain a temperature set of the restored in-situ soil.

3. The in-situ soil remediation intelligent monitoring method based on temperature data according to claim 1 is characterized in that: The S2 includes the following sub-steps: S21, obtaining the three-dimensional grid where the maximum temperature value and the three-dimensional grid where the minimum temperature value are located in the temperature concentration; S22, connecting the centroid of the three-dimensional grid where the maximum temperature value is located with the centroid of the three-dimensional grid where the minimum temperature value is located, and using the result as the diameter of the temperature sphere, thereby constructing the temperature sphere; S23, taking the three-dimensional grid contained in the temperature sphere as the associated area; S24. Calculate temperature correlation parameters of the remaining three-dimensional grids except the three-dimensional grid where the center of the temperature sphere is located according to the correlation area; S25. Calculating the loss temperature values of the remaining three-dimensional grids based on the temperature correlation parameters of the remaining three-dimensional grids; S26. Calculate the average of the loss temperature values of the remaining three-dimensional grids and the temperature value of the three-dimensional grid at the center of the temperature sphere to obtain the center loss temperature value.

4. The in-situ soil remediation intelligent monitoring method based on temperature data according to claim 3 is characterized in that: In the above S24, the remaining Temperature-related parameters of a three-dimensional grid The calculation formula is: ； Where, Represents the associated area, represents the maximum temperature value of the temperature set, represents the minimum temperature value of the temperature set, Indicates the temperature value of the three-dimensional grid at the center of the temperature sphere. It means taking a random number between 0 and 1. Indicates the remaining The temperature value of the three-dimensional grid, Indicates the remaining A three-dimensional grid.

5. The in-situ soil remediation intelligent monitoring method based on temperature data according to claim 3 is characterized in that: In said S25, the remaining The loss temperature value of a three-dimensional grid The calculation formula is: ； Where, Indicates the remaining The temperature correlation parameters of the three-dimensional grid, Indicates the remaining The temperature value of the three-dimensional grid, Indicates the remaining The temperature correlation parameters of the three-dimensional grid above the three-dimensional grid, Indicates the remaining The temperature value of the three-dimensional grid above the three-dimensional grid, Indicates the remaining The temperature correlation parameters of the three-dimensional grid below the three-dimensional grid, Indicates the remaining The temperature value of the three-dimensional grid below the three-dimensional grid, Indicates the remaining The temperature correlation parameters of the left three-dimensional grid are: Indicates the remaining The temperature value of the left grid of the grid, Indicates the remaining The temperature correlation parameters of the three-dimensional grid on the right side of the three-dimensional grid, Indicates the remaining The temperature value of the right grid of the grid, Indicates taking the maximum value, Indicates taking the minimum value.

6. The in-situ soil remediation intelligent monitoring method based on temperature data according to claim 1 is characterized in that: The S3 includes the following sub-steps: S31, obtaining the net heat flux of the first in-situ soil layer; S32, calculating the heat flux of each remaining in-situ soil layer; S32. Determine the conductivity of each of the remaining in-situ soil layers based on the net heat flux of the first in-situ soil layer and the heat flux of each of the remaining in-situ soil layers; S33. Based on the center loss temperature value and the conductivity of each remaining in-situ soil layer, the corresponding temperature threshold is calculated for each remaining in-situ soil layer. If there is a three-dimensional grid with a temperature value greater than the temperature threshold in each remaining in-situ soil layer, the restoration monitoring result of the restored in-situ soil is abnormal.

7. The in-situ soil remediation intelligent monitoring method based on temperature data according to claim 6 is characterized in that: In the above S31, the remaining Heat flux in the in situ soil layer The expression is: ； Where, represents the thermal conductivity of the remediated in-situ soil, Indicates the remaining The height of the bottom of the in-situ soil layer from the ground surface, Indicates the remaining The average temperature value of all three-dimensional grids in the in-situ soil layer.

8. The in-situ soil remediation intelligent monitoring method based on temperature data according to claim 6 is characterized in that: In the above S32, the remaining Conductivity of in-situ soil layers The calculation formula is: ； Where, Indicates the remaining The heat flux of the in situ soil layer, Indicates the remaining The heat flux of the in situ soil layer, Indicates the remaining The heat flux of the in situ soil layer, represents the net heat flux to the first in situ soil layer.

9. The in-situ soil remediation intelligent monitoring method based on temperature data according to claim 6, characterized in that: In said S33, the remaining Temperature threshold of the in situ soil layer The calculation formula is: ； Where, Indicates the core loss temperature value, Indicates the remaining Conductivity of an in situ soil layer.

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