Soil improvement method for power transmission line tower footing difficult site

Abstract

The invention relates to the technical field of soil improvement, in particular to a soil improvement method for a power transmission line tower footing difficult site, which comprises the following steps: determining a bonding characterization value according to a plurality of obtained humidity values; dividing the complex site tendency of the single to-be-analyzed area based on the adhesion characterization value; determining the number of sampling points selected in a single to-be-analyzed area based on the complex site tendency; identifying a detection time point based on the obtained humidity of each time node, and obtaining samples of a plurality of sampling points in the detection time point; determining a bonding mean value based on the bonding force of each sample, determining whether the to-be-analyzed area is qualified or not based on the bonding mean value, when it is determined that the to-be-analyzed area is abnormal, determining a hard stone invasion characterization value based on each obtained sample, and determining soil improvement parameters for the single to-be-analyzed area based on the hard stone invasion characterization value, the improvement measures are determined in a targeted manner based on the soil condition of the power transmission line tower footing site area, and the soil improvement efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of soil improvement technology, and in particular to a soil improvement method for difficult-site locations of transmission line tower foundations. Background Technology

[0002] With rapid economic development and continuous growth in energy demand, the scale of power transmission line construction is constantly expanding. To achieve efficient power transmission and widespread coverage, transmission lines often need to traverse various complex geographical areas. Harsh natural conditions and fragile ecosystems in some regions pose numerous challenges to the construction and operation of transmission line towers.

[0003] Improving the ecological structure to enhance soil fertility, conserve water and soil, and restore the ecological landscape in the tower base area is an urgent task to ensure the long-term safe and stable operation of power transmission facilities and to solve the problems faced by power transmission line tower bases under difficult site conditions.

[0004] Chinese Patent Publication No. CN108521921A discloses a method for soil remediation in power transmission line towers, including: topsoil accumulation: shoveling up the topsoil of the power transmission line towers, mixing it evenly, and piling it up to a height of 35-40 cm; spraying formalin: diluting a 40% formaldehyde solution 30-40 times, then spraying the soil with the diluted formaldehyde solution at a rate of 28-32 L / m³, covering the soil with a film for 48-52 hours, then removing the film and allowing it to air dry for at least 21 days; injecting sodium chloride solution into the soil, and then plugging the injection holes after injection; spraying water into the soil to achieve a soil moisture content of 70-80%, then applying 17-19 kg / mu of calcium cyanamide, then covering the soil with a plastic film, sealing it, and exposing it to the sun for 13-15 days, then removing the film; and soil restoration: leveling the treated soil before planting crops. It is evident that the above technical solution has the following problems: it does not consider the specific soil conditions in the area where the power transmission line towers are located, thus affecting the efficiency of soil remediation. Summary of the Invention

[0005] Therefore, the present invention provides a soil improvement method for difficult sites of transmission line tower foundations, in order to overcome the problem in the prior art that the improvement measures are not specifically determined based on the soil conditions of the transmission line tower foundation site area, which affects the efficiency of soil improvement.

[0006] To achieve the above objectives, the present invention provides a soil improvement method for difficult site locations of transmission line tower foundations, comprising: The adhesion characterization value is determined based on the humidity of the area to be analyzed at several time points in the acquired historical data. The complex site tendency of a single analysis area is defined based on the adhesion characterization value, and the number of sampling points selected for a single analysis area is determined based on the complex site tendency. Based on the humidity identification and detection time points obtained at each time point, samples are obtained from several sampling points within the detection time point. The mean adhesion value is determined based on the adhesion force of each sample, and the acceptance of the area to be analyzed is determined based on the mean adhesion value, including: When an anomaly is identified in the area to be analyzed, the hard rock intrusion characterization value is determined based on the acquired samples, and the soil improvement parameters for a single area to be analyzed are determined based on the hard rock intrusion characterization value, including adjusting the quality of the topsoil used for topsoil backfilling to the corresponding value, issuing netting instructions, issuing instructions for using soil amendments, or adjusting the planting quantity of vegetation to the corresponding value. Once the area to be analyzed is deemed suitable, the current soil amendment parameters are continuously used to amend the individual soil samples to be analyzed.

[0007] Furthermore, the process of determining the adhesion characterization value based on the obtained humidity data includes solving for the average humidity at each time point to obtain the adhesion characterization value. The process of delineating complex site dips of individual regions to be analyzed based on adhesion characterization values ​​includes the following steps: If the adhesion characterization value is less than or equal to the preset adhesion characterization value, then the single area to be analyzed is identified as having a strong complex site tendency. If the adhesion characterization value is greater than the preset adhesion characterization value, then the single area to be analyzed will be identified as having a weak complex site tendency. The process of determining the number of sampling points to be selected for a single area to be analyzed based on complex site dips includes, If a single region to be analyzed has a strong and complex site tendency, the number of sampling points selected for the single region to be analyzed will be adjusted to the corresponding value based on the cohesion characterization value. If a single region to be analyzed has a weakly complex site tendency, then the current number of sampling points will continue to be used to sample the single region to be analyzed.

[0008] Furthermore, the process of identifying and detecting humidity at each acquired time point includes, Cluster analysis was performed on each humidity level to obtain several data clusters; Count the amount of humidity in each data cluster, and determine the data cluster with the largest amount as the analysis data cluster; Obtain the maximum and minimum values ​​in the data cluster to determine the data range for analysis; Monitor the humidity within the area to be analyzed, and take samples from a single area when the humidity is within the range of the analysis data.

[0009] Furthermore, the process of determining whether the area to be analyzed is qualified based on the adhesion mean includes, If the mean adhesion value is less than or equal to the preset mean adhesion value, the area to be analyzed is determined to be abnormal, and the hard stone intrusion characterization value is determined based on each sample obtained. If the average adhesion value is greater than the preset average adhesion value, the area to be analyzed is determined to be qualified, and the current soil improvement parameters are used to complete the improvement of a single soil to be analyzed.

[0010] Furthermore, the process of determining the hard rock intrusion characterization value based on the acquired samples includes, Mix the samples and obtain the mass of stones larger than the second size, the mass of gravel smaller than or equal to the second size but larger than the first size, and the mass of soil smaller than or equal to the first size in each sample; The fixed capacity value is obtained by calculating the ratio of the sum of the mass of crushed stone and the mass of soil to the mass of stone. Calculate the sum of the mass of crushed stone and the mass of stone, solve for the ratio of soil mass to the sum of the masses, and obtain the soil enrichment value; By assigning corresponding coefficients to the fixed capacity value and the soil enrichment value respectively and summing them, the hard rock intrusion characterization value is obtained.

[0011] Furthermore, the process of determining soil amendment parameters for a single area to be analyzed based on hard rock intrusion characterization values ​​includes, If the hard rock intrusion characterization value is less than or equal to the preset hard rock intrusion characterization value, the soil improvement parameters for the individual analysis area are determined based on the tilt parameter of the individual analysis area. If the hard rock intrusion characterization value is greater than the preset hard rock intrusion characterization value, the soil improvement parameters for a single area to be analyzed are determined based on the vegetation cover parameter.

[0012] Furthermore, the process of determining soil amendment parameters for a single analysis area based on its tilt parameters includes, Obtain the slope of each sampling point, calculate the average value of each slope, and obtain the tilt parameter; If the tilt parameter is less than or equal to the preset tilt parameter, the quality of the topsoil for backfilling is determined based on the tilt parameter. If the tilt parameter is greater than the preset tilt parameter, a net hanging instruction message will be issued.

[0013] Furthermore, the process of determining soil amendment parameters for a single area to be analyzed based on vegetation cover parameters includes, Select the environmental monitoring area centered on the area to be analyzed, and acquire image information within the environmental monitoring area; Vegetation cover parameters are determined based on image information within the environmental monitoring area; If the vegetation cover parameter is less than or equal to the preset vegetation cover parameter, an instruction message to use the amendment will be issued. If the vegetation cover parameter is greater than the preset vegetation cover parameter, the number of plants to be planted in the area to be analyzed will be adjusted to the corresponding value based on the vegetation cover parameter.

[0014] Furthermore, based on the adhesion characterization value, the number of sampling points selected in a single region to be analyzed is adjusted to the corresponding value, wherein, The increase in the number of sampling points was negatively correlated with the adhesion characterization value.

[0015] Furthermore, the quality of the topsoil used for backfilling is determined based on the tilt parameter, wherein, The increase in the quality of the topsoil is positively correlated with the tilt parameter; Based on the vegetation cover parameter, the planting quantity of vegetation in the area to be analyzed is adjusted to the corresponding value, whereby... The increase in the amount of planted vegetation is negatively correlated with the vegetation cover parameter.

[0016] Compared with existing technologies, the beneficial effects of this invention lie in acquiring humidity data at several time points corresponding to a single area to be analyzed from historical data. Soil humidity is one of the key factors affecting soil cohesion and site conditions. Humidity changes at different time points reflect the dynamic characteristics of soil humidity in the area. By acquiring humidity data at multiple time points, a more comprehensive and accurate understanding of the long-term variation pattern of soil humidity in the area can be obtained, providing basic data for subsequent analysis of soil cohesion and complex site tendencies. Based on the acquired humidity data, a cohesion characterization value is determined. By comprehensively considering the influence of humidity at different time points, the soil's ability to fix the tower foundation is reflected. Based on the cohesion characterization value, the complex site tendencies of a single area to be analyzed are delineated. The higher the humidity, the better the soil cohesion, and the more stable the tower foundation. When soil humidity increases, water is adsorbed on the surface of soil particles, forming a water film. The water film reduces the distance between soil particles, strengthens the intermolecular attraction, and thus increases the cohesion between soil particles. For transmission line tower foundations, better soil cohesion means that the soil around the tower foundation can provide greater friction and shear strength, thereby better resisting various external forces on the tower foundation and ensuring its stability. The lower the humidity, the more difficult it is for the soil base to stand. When improving soil through planting vegetation, a low humidity environment is unfavorable for the growth of vegetation roots, affecting their ability to hold the soil in place. Therefore, if the cohesion characterization value is less than or equal to the preset cohesion characterization value, a single area to be analyzed is identified as having a strong complex site tendency; if the cohesion characterization value is greater than the preset cohesion characterization value, a single area to be analyzed is identified as having a weak complex site tendency. Complex humidity data is transformed into intuitive cohesion characterization values ​​to classify the complex site tendency of the soil. Different measures are taken according to different complex site tendencies, improving the targeting and effectiveness of soil improvement. The lower the humidity, the more monitoring points need to be selected. Soils with lower humidity have more uneven moisture distribution. Dry soil has larger pores, and moisture is easily lost or migrated quickly under gravity, evaporation, etc., resulting in large differences in humidity at different locations. Therefore, when a strong complex site tendency is identified, more monitoring points need to be added to accurately reflect the soil condition of the entire area to be analyzed. While ensuring an accurate understanding of the soil condition, the sampling amount was reasonably controlled, further improving the efficiency of soil improvement.

[0017] Furthermore, by performing cluster analysis on humidity data at various time points, intervals with relatively concentrated humidity were identified. Sampling within these intervals more accurately reflects the typical characteristics of the soil in that area. This improves the accuracy of soil cohesion testing, thereby increasing the efficiency of soil remediation.

[0018] Furthermore, the suitability of the analyzed area is determined based on the mean cohesion value. The mean cohesion value reflects the average cohesive capacity of the soil in that area. Soil cohesion is determined by the interaction between soil particles. The mean cohesion value integrates cohesion data from multiple sampling points, providing a more accurate reflection of the overall cohesive characteristics of the soil in that area. If the mean cohesion value is lower than the preset mean cohesion value, it indicates insufficient soil cohesion, which cannot guarantee the stability of the tower base. In this case, the hard rock intrusion characterization value is determined, and soil improvement parameters for a single analyzed area are determined based on this value. This ensures the stability of the tower base while further improving the efficiency of soil improvement.

[0019] Furthermore, the hard rock intrusion characterization value was determined. This value comprehensively represents the collapse tendency and the ease of plant growth in the analyzed area. This includes determining the fixation capacity value, which characterizes the relative fixation capacity of soil and gravel against the stones. Gravel and soil together constitute a relatively fine-grained component. By calculating their mass and the ratio to the stone mass, it reflects the overall ability of the soil and gravel to resist the impact of stone collapse. If the mass of gravel and soil is large compared to the relative stone mass, it indicates that more fine-grained material can fill the gaps between the stones in the structure around the base, reducing the risk of stone movement and collapse, thus providing better support for the base. The soil enrichment value was also determined. This value characterizes the plant growth capacity of the analyzed area. The more soil, the less hindered plant growth. The ratio of the sum of gravel and stone mass to soil mass reflects the degree of stone and gravel intrusion into the soil. When the mass of gravel and stone is large, it will damage the original soil structure, affecting soil cohesion and bearing capacity, and inhibiting plant growth. The higher the anchoring capacity value, the lower the risk of collapse; the higher the soil enrichment, the better the plant growth conditions. By considering the quality of the crushed stone, the impact of this intrusion on the stability of the tower foundation can be measured more accurately.

[0020] Furthermore, soil improvement parameters for individual analysis areas are determined based on hard rock intrusion characterization values. When the hard rock intrusion characterization value is less than or equal to the preset value, the value is relatively small, indicating less soil and more large rocks, resulting in a loose soil structure. In this case, soil improvement parameters are determined based on the tilt parameter of the individual analysis area. The tilt parameter reflects the topographic slope of the area. When the tilt parameter is greater than the preset value, the slope is steep, and soil particles tend to slide downwards under gravity, reducing soil stability. In this case, netting is used to enhance the soil's anti-sliding ability. When the tilt parameter is less than or equal to the preset value, the slope is gentle. In this case, topsoil backfilling is used to increase the soil proportion and stabilize the tower base. Appropriate improvement measures based on the topographic slope effectively improve the stability of the tower base under different topographic conditions. When the hard rock intrusion characterization value is large, there is more soil. In this case, soil improvement parameters for individual analysis areas are determined based on vegetation cover parameters. Vegetation cover parameters reflect the vegetation cover of the area. Vegetation can fix the soil through its root system, improve soil structure, and increase soil fertility. Depending on the vegetation cover parameter, different soil improvement measures can be selected. When the vegetation cover parameter is less than or equal to the preset vegetation cover parameter, the soil content is high and the environmental humidity is suitable. However, the vegetation cover is still relatively low. In this case, an instruction to use a soil conditioner is issued to improve the soil and make it suitable for vegetation growth. By taking corresponding improvement measures according to the vegetation cover situation, the role of vegetation in soil improvement is fully utilized, improving soil quality and the stability of the foundation. This further improves the efficiency of soil improvement. Attached Figure Description

[0021] Figure 1 This is a flowchart illustrating the steps of a soil improvement method for difficult-site locations of transmission line tower foundations according to an embodiment of the present invention. Figure 2 This is a logical determination diagram of the complex site tendency of a single region to be analyzed based on the adhesion characterization value in an embodiment of the present invention. Figure 3 This is a logic diagram for determining whether the area to be analyzed is qualified based on the average adhesion value in an embodiment of the present invention. Figure 4 This is a logic diagram for determining soil amendment parameters for a single area to be analyzed based on hard rock intrusion characterization values ​​in an embodiment of the present invention. Detailed Implementation

[0022] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0023] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0024] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0025] Please see Figure 1 The diagram shown is a flowchart of the steps in a soil improvement method for difficult-site locations of transmission line tower foundations according to an embodiment of the present invention. The method of the present invention includes: S1, obtain the humidity of a single area to be analyzed in historical data at several time points; S2, determine the adhesion characterization value based on the obtained humidity levels; S3, based on the cohesion characterization value, delineates the complex site tendency of a single area to be analyzed; S4, determine the number of sampling points selected for a single area to be analyzed based on complex site dips; S5, based on the humidity identification and detection time points of each time node obtained, obtain the sampling of several sampling points within the detection time point; S6, determine the mean adhesion value based on the adhesion force of each sample, and determine whether the area to be analyzed is qualified based on the mean adhesion value, including: When an anomaly is identified in the area to be analyzed, the hard rock intrusion characterization value is determined based on the acquired samples, and the soil improvement parameters for a single area to be analyzed are determined based on the hard rock intrusion characterization value, including adjusting the quality of the topsoil used for topsoil backfilling to the corresponding value, issuing netting instructions, issuing instructions for using soil amendments, or adjusting the planting quantity of vegetation to the corresponding value. Alternatively, once the area to be analyzed is deemed acceptable, the current soil amendment parameters can be continuously used to amend the individual soil samples to be analyzed.

[0026] Specifically, the area to be analyzed is the area where the transmission line tower base stands. There is no limitation on the selection range of the area to be analyzed. The area to be analyzed can be selected with the tower base as the center and a preset analysis distance as the radius.

[0027] Specifically, the determination of the time nodes used to obtain humidity data in historical data is not limited. Optionally, several time nodes can be selected within a single year at the same time interval. There is no limit to the number of selected time nodes. It can be understood that the more time nodes selected, the more accurate the detection of a single area to be analyzed.

[0028] Specifically, the process of continuously using current soil amendment parameters to amend a single soil sample includes: continuously planting vegetation using the current planting quantity.

[0029] Specifically, there are no restrictions on the selection of vegetation, such as milkvetch, alfalfa, or vetch. The vegetation converts solar energy into chemical energy through photosynthesis and fixes it in the plant. When these plants are turned into the soil, they release a large amount of nutrients through the decomposition of microorganisms, which improves the soil structure.

[0030] Please see Figure 2 As shown, it is a logic determination diagram of the complex site tendency of a single area to be analyzed based on the adhesion characterization value in an embodiment of the invention. The process of determining the adhesion characterization value based on the obtained humidity includes solving the average value of the humidity at each time node to obtain the adhesion characterization value. The process of delineating complex site dips of individual regions to be analyzed based on adhesion characterization values ​​includes the following steps: If the adhesion characterization value is less than or equal to the preset adhesion characterization value, then the single area to be analyzed is identified as having a strong complex site tendency. If the adhesion characterization value is greater than the preset adhesion characterization value, then the single area to be analyzed will be identified as having a weak complex site tendency. The process of determining the number of sampling points to be selected for a single area to be analyzed based on complex site dips includes, If a single region to be analyzed has a strong and complex site tendency, the number of sampling points selected for the single region to be analyzed will be adjusted to the corresponding value based on the cohesion characterization value. If a single region to be analyzed has a weakly complex site tendency, then the current number of sampling points will continue to be used to sample the single region to be analyzed.

[0031] Specifically, the preset adhesion characterization value is selected within the range of [20%, 30%]. Those skilled in the art can determine the preset adhesion characterization value based on the actual tower foundation conditions and soil type. A large amount of historical data on soil adhesion and tower foundation stability under different humidity conditions can be collected. This data is analyzed to determine the average humidity level at which soil adhesion just ensures tower foundation stability, and this is used as the preliminary preset adhesion characterization value. Then, field tests are conducted in the actual transmission line tower foundation site area. Simulated tower foundations are constructed under different humidity conditions, and the stability of the tower foundations is monitored. The preliminary preset adhesion characterization value is corrected and verified based on the test results to comprehensively determine the final preset adhesion characterization value. In this embodiment, preferably, the preset adhesion characterization value is 25%.

[0032] Specifically, the analysis involves acquiring humidity data for a single region under analysis at several time points from historical data. Soil moisture is a key factor influencing soil cohesion and site conditions. Humidity changes at different time points reflect the dynamic characteristics of soil moisture in the region. By acquiring humidity data from multiple time points, a more comprehensive and accurate understanding of the long-term variation patterns of soil moisture in the region can be obtained, providing fundamental data for subsequent analysis of soil cohesion and complex site tendencies. Based on the acquired humidity data, cohesion characterization values ​​are determined. By comprehensively considering the influence of humidity at different time points, the soil's ability to fix the tower foundation is reflected. Complex site tendencies of a single region under analysis are then delineated based on these cohesion characterization values. Higher humidity indicates better soil cohesion and a more stable tower foundation. When soil moisture increases, water is adsorbed onto the surface of soil particles, forming a water film. This water film reduces the distance between soil particles, strengthening intermolecular attraction and thus increasing the cohesion between soil particles. For transmission line tower foundations, better soil cohesion means that the soil around the tower foundation can provide greater friction and shear strength, thereby better resisting various external forces on the tower foundation and ensuring its stability. The lower the humidity, the more difficult it is for the soil base to stand. When improving soil through planting vegetation, a low humidity environment is unfavorable for the growth of vegetation roots, affecting their ability to hold the soil in place. Therefore, if the cohesion characterization value is less than or equal to the preset cohesion characterization value, a single area to be analyzed is identified as having a strong complex site tendency; if the cohesion characterization value is greater than the preset cohesion characterization value, a single area to be analyzed is identified as having a weak complex site tendency. Complex humidity data is transformed into intuitive cohesion characterization values ​​to classify the complex site tendency of the soil. Different measures are taken according to different complex site tendencies, improving the targeting and effectiveness of soil improvement. The lower the humidity, the more monitoring points need to be selected. Soils with lower humidity have more uneven moisture distribution. Dry soil has larger pores, and moisture is easily lost or migrated quickly under gravity, evaporation, etc., resulting in large differences in humidity at different locations. Therefore, when a strong complex site tendency is identified, more monitoring points need to be added to accurately reflect the soil condition of the entire area to be analyzed. While ensuring an accurate understanding of the soil condition, the sampling amount was reasonably controlled, further improving the efficiency of soil improvement.

[0033] Specifically, the process of identifying and detecting humidity at various time points includes: Cluster analysis was performed on each humidity level to obtain several data clusters; Count the amount of humidity in each data cluster, and determine the data cluster with the largest amount as the analysis data cluster; Obtain the maximum and minimum values ​​in the data cluster to determine the data range for analysis; Monitor the humidity within the area to be analyzed, and take samples from a single area when the humidity is within the range of the analysis data.

[0034] Specifically, the process of obtaining several data clusters through cluster analysis is not limited. The K-means clustering algorithm can be used to cluster the humidity data. This includes determining the K value through a histogram of the humidity data. It is understood that to ensure the determination of the humidity distribution pattern, the K value should be greater than or equal to 3. K data points are randomly selected from the humidity data as initial cluster centers. The Euclidean distance from each humidity data point to each cluster center is calculated, and the data point is assigned to the cluster containing the nearest cluster center. The average value of all data points in each cluster is calculated, and this average value is used as the new cluster center. This process of assigning data points and updating cluster centers is repeated until a preset number of iterations is reached to divide the humidity data into several data clusters. In this embodiment, preferably, the K value is 3.

[0035] Specifically, by performing cluster analysis on humidity data at various time points, intervals with relatively concentrated humidity are identified. Sampling is then conducted within these intervals to more accurately reflect the typical characteristics of the soil in that area. This improves the accuracy of soil cohesion testing, thereby increasing the efficiency of soil remediation.

[0036] Please see Figure 3 As shown, this is a logic diagram for determining whether the area to be analyzed is qualified based on the average adhesion value according to an embodiment of the present invention. The process of determining whether the area to be analyzed is qualified based on the average adhesion value of the present invention includes: If the mean adhesion value is less than or equal to the preset mean adhesion value, the area to be analyzed is determined to be abnormal, and the hard stone intrusion characterization value is determined based on each sample obtained. If the average adhesion value is greater than the preset average adhesion value, the area to be analyzed is determined to be qualified, and the current soil improvement parameters are used to complete the improvement of a single soil to be analyzed.

[0037] Specifically, the preset average adhesion value is selected within the range [70, 85], with units of kPa. Those skilled in the art can determine the preset average adhesion value based on the actual tower foundation conditions. Historical data on the average soil adhesion values ​​of stable and unstable areas of the tower foundation can be collected, and the boundary between the two can be analyzed. Simultaneously, a simulation experiment is conducted on-site, applying external forces similar to the actual tower foundation under different soil conditions, and measuring the average soil adhesion value to determine the minimum average adhesion value to ensure tower foundation stability. In this embodiment, preferably, the preset average adhesion value is 80.

[0038] Specifically, the average adhesive force of each sample is calculated to obtain the average adhesive force; Specifically, the method for determining the cohesion of each sample is not limited. Each sample can be prepared as a cylindrical specimen with a diameter of 39.1 mm and a height of 80 mm. The cylindrical specimen should retain the natural structure and moisture content of the soil sample as much as possible. The specimen is placed between the upper and lower plates of the compression testing machine, ensuring that the center of the specimen is aligned with the center of the plates. Axial pressure is applied to the specimen until it fails. The maximum axial pressure at failure is recorded, yielding the unconfined compressive strength. Half of the unconfined compressive strength is determined as the cohesion of a single sample; this will not be elaborated further.

[0039] Specifically, the suitability of the analyzed area is determined based on the mean cohesion value. The mean cohesion value reflects the average cohesive capacity of the soil in that area. Soil cohesion is determined by the interaction between soil particles. The mean cohesion value integrates cohesion data from multiple sampling points, providing a more accurate reflection of the overall cohesive characteristics of the soil in that area. If the mean cohesion value is lower than the preset mean cohesion value, it indicates insufficient soil cohesion, which cannot guarantee the stability of the tower base. In this case, the hard rock intrusion characterization value is determined, and soil improvement parameters for a single analyzed area are determined based on this value. This ensures the stability of the tower base while further improving the efficiency of soil improvement.

[0040] Specifically, the process of determining the hard rock intrusion characterization value based on the acquired samples includes, Mix the samples and obtain the mass of stones larger than the second size, the mass of gravel smaller than or equal to the second size but larger than the first size, and the mass of soil smaller than or equal to the first size in each sample; The fixed capacity value is obtained by calculating the ratio of the sum of the mass of crushed stone and the mass of soil to the mass of stone. Calculate the sum of the mass of crushed stone and the mass of stone, solve for the ratio of soil mass to the sum of the masses, and obtain the soil enrichment value; By assigning corresponding coefficients to the fixed capacity value and the soil enrichment value respectively and summing them, the hard rock intrusion characterization value is obtained.

[0041] In this embodiment, the first dimension is preferably 2mm and the second dimension is preferably 20mm. It can be understood that the selection of the first and second dimensions is sufficient to distinguish between gravel, stone, and soil.

[0042] Specifically, the analysis involves determining the hard rock intrusion characterization value, which comprehensively represents the collapse tendency and the ease of plant growth in the analyzed area. This includes determining the anchoring capacity value, which characterizes the relative anchoring capacity of soil and gravel against rocks. Gravel and soil together constitute a relatively fine-grained component; their mass and the ratio to the mass of the rocks reflect the overall ability of the soil and gravel to resist the impact of rock collapse. A larger mass of gravel and soil relative to the rock mass indicates that more fine-grained material can fill the gaps between rocks in the structure around the base, reducing the risk of rock movement and collapse, thus providing better support for the base. The analysis also includes determining the soil enrichment value, which characterizes the plant growth capacity of the analyzed area. More soil results in less resistance to plant growth. The ratio of the sum of gravel and rock mass to the soil mass reflects the degree of intrusion of rocks and gravel into the soil. Larger masses of gravel and rocks can damage the original soil structure, affecting soil cohesion and bearing capacity, and inhibiting plant growth. The higher the anchoring capacity value, the lower the risk of collapse; the higher the soil enrichment, the better the plant growth conditions. By considering the quality of the crushed stone, the impact of this intrusion on the stability of the tower foundation can be measured more accurately.

[0043] Specifically, the coefficient corresponding to the fixed capacity value is the preset collapse coefficient, and the coefficient corresponding to the soil enrichment value is the preset intrusion coefficient. The product of the fixed capacity value and the preset collapse coefficient and the product of the soil enrichment value and the preset intrusion coefficient are calculated, and the sum of the two products is calculated to obtain the hard rock intrusion characterization value. The preset collapse coefficient is set to 0.5, and the preset intrusion coefficient is set to 0.5 to comprehensively analyze the impact of soil and stone on the stability of the tower foundation.

[0044] Specifically, the quality of stones, gravel, and soil can be obtained through the screening module; The screening module includes a casing. A first screen and a second screen are arranged sequentially from top to bottom inside the outer casing. The aperture of the first screen is the second size, and the aperture of the second screen is the first size. The first and second screens are fixed relative to the outer casing; The screening module also includes a base connected to the housing for controlling the housing to reciprocate along a preset trajectory.

[0045] Specifically, the mixed sample is placed on top of the first mesh screen inside the shell, the shell is closed, and the base controls the shell and the mesh screen, which is fixed relative to the shell, to move back and forth along a preset trajectory to complete the classification of stones, gravel and soil. After the base completes the operation, the shell is opened to obtain the mass of stones on the first mesh screen and the mass of gravel on the second mesh screen in turn. The soil mass is determined based on the total mass of the mixed sample, the mass of stones and the mass of gravel.

[0046] Specifically, the frequency of the reciprocating movement of the outer shell is determined based on the average adhesion value, wherein, The increase in reciprocating frequency is positively correlated with the mean adhesion value.

[0047] In this embodiment, optionally, The adhesion characterization value is compared with the first preset adhesion comparison value and the second preset adhesion comparison value; If the adhesion characterization value is less than or equal to the first preset adhesion comparison value, the reciprocating frequency of the shell is adjusted to 1.11 times the initial reciprocating frequency. If the adhesion characterization value is less than or equal to the second preset adhesion comparison value and greater than the first preset adhesion comparison value, then the reciprocating frequency of the shell is adjusted to 1.21 times the initial reciprocating frequency. If the adhesion characterization value is greater than the second preset adhesion comparison value, the reciprocating frequency of the shell is adjusted to 1.28 times the initial reciprocating frequency.

[0048] The reciprocating movement frequency is positively correlated with the mean adhesion value. The reciprocating movement frequency of the outer shell is determined based on the mean adhesion value, which reflects the soil's cohesiveness. Soils with different levels of cohesion require different vibration intensities during the screening process to achieve effective classification. A higher mean adhesion value indicates stickier soil, requiring greater vibration intensity to separate stones, gravel, and soil. Adjusting the vibration intensity of the screening module according to the soil's cohesiveness improves screening efficiency and accuracy, ensuring the reliability of the hard rock intrusion characterization value calculation.

[0049] Please see Figure 4 The diagram shown illustrates the logic decision diagram for determining soil amendment parameters for a single area to be analyzed based on hard rock intrusion characterization values, according to an embodiment of the present invention. The process of determining soil amendment parameters for a single area to be analyzed based on hard rock intrusion characterization values ​​includes: If the hard rock intrusion characterization value is less than or equal to the preset hard rock intrusion characterization value, the soil improvement parameters for the individual analysis area are determined based on the tilt parameter of the individual analysis area. If the hard rock intrusion characterization value is greater than the preset hard rock intrusion characterization value, the soil improvement parameters for a single area to be analyzed are determined based on the vegetation cover parameter.

[0050] Specifically, the preset hard rock intrusion characterization value is selected within the range [1, 2, 3]. Those skilled in the art can determine the preset hard rock intrusion characterization value based on the actual conditions of the tower foundation. Experiments can be conducted in different transmission line tower foundation sites, collecting soil samples under different degrees of hard rock intrusion, calculating the hard rock intrusion characterization value, and monitoring the stability of the tower foundation. Simultaneously, hard rock intrusion characterization value data from historically problematic and stable operating areas of the tower foundation are collected. By analyzing these data, the preset hard rock intrusion characterization value is determined. Preferably, in this embodiment, the preset hard rock intrusion characterization value is 1.

[0051] Specifically, the process of determining soil amendment parameters for a single analysis area based on its tilt parameters includes, as follows: Obtain the slope of each sampling point, calculate the average value of each slope, and obtain the tilt parameter; If the tilt parameter is less than or equal to the preset tilt parameter, the quality of the topsoil for backfilling is determined based on the tilt parameter. If the tilt parameter is greater than the preset tilt parameter, a net hanging instruction message will be issued.

[0052] Specifically, the preset tilt parameter is selected within the range [10, 30], in degrees. Those skilled in the art can determine the preset tilt parameter based on the actual conditions of the tower foundation. Numerical simulation software can be used to simulate the stress and stability of the tower foundation under different tilt angles. Simultaneously, simulated tower foundations are constructed in areas with different slopes on-site to monitor the deformation and stability of the tower foundation under different slopes. Based on the simulation and experimental results, the preset tilt parameter is determined. In this embodiment, preferably, the preset tilt parameter is 15.

[0053] Specifically, the process of obtaining the slope at each sampling point may include, A drone equipped with an orthophoto camera is used to take aerial photos of the area to be analyzed. Overlapping photos are processed using photogrammetry techniques to generate a real-world 3D model and extract a digital elevation model from it. Load the DEM into the GIS software and use the slope tool to generate a slope raster map. The value of each cell represents the slope at that location, so as to obtain the slope of each sampling point.

[0054] Specifically, the process of determining soil amendment parameters for a single area to be analyzed based on vegetation cover parameters includes, Select the environmental monitoring area centered on the area to be analyzed, and acquire image information within the environmental monitoring area; The vegetation coverage rate within the identified environmental monitoring area is determined as the vegetation coverage parameter. If the vegetation cover parameter is less than or equal to the preset vegetation cover parameter, an instruction message to use the amendment will be issued. If the vegetation cover parameter is greater than the preset vegetation cover parameter, the number of plants to be planted in the area to be analyzed will be adjusted to the corresponding value based on the vegetation cover parameter.

[0055] Specifically, the preset vegetation cover parameter is selected within the range of [20%, 30%]. Those skilled in the art can determine the preset vegetation cover parameter based on the actual selected area of ​​the region to be analyzed, and can analyze the soil improvement effect and tower base stability under different vegetation cover rates. Long-term monitoring can be carried out in areas with different vegetation cover rates to observe the physical properties of the soil and the operation of the tower base, so as to comprehensively determine the preset vegetation cover parameter. In this embodiment, preferably, the preset vegetation cover parameter is 30%.

[0056] In this embodiment, preferably, the environmental monitoring area is 8 times the area of ​​the region to be analyzed.

[0057] Specifically, the process of identifying vegetation coverage within an environmental monitoring area can be as follows: Use a trained model to automatically identify vegetation in image information. The vegetation coverage rate is obtained by determining the ratio of the total area of ​​each vegetation type in the image information to the total area of ​​the image information.

[0058] Specifically, there are no restrictions on the model used for vegetation identification. The convolutional neural network can be trained using labeled vegetation images as the training set to obtain a model for vegetation identification. The input of this model is image information, and the output is image information after labeling vegetation. This is existing technology and will not be elaborated further.

[0059] Specifically, soil improvement parameters for individual analysis areas are determined based on hard rock intrusion characterization values. When the hard rock intrusion characterization value is less than or equal to a preset value, the value is relatively small, indicating less soil and more large rocks, resulting in a loose soil structure. In this case, soil improvement parameters are determined based on the slope parameter of the individual analysis area. The slope parameter reflects the terrain slope of the area. When the slope parameter is greater than the preset value, the slope is steep, and soil particles tend to slide downwards under gravity, reducing soil stability. In this case, netting is used to enhance the soil's anti-sliding ability. When the slope parameter is less than or equal to the preset value, the slope is gentle. In this case, topsoil backfilling is used to increase the soil proportion and stabilize the tower base. Appropriate improvement measures based on the terrain slope effectively improve the stability of the tower base under different terrain conditions. When the hard rock intrusion characterization value is large, there is more soil. In this case, soil improvement parameters for individual analysis areas are determined based on vegetation cover parameters. Vegetation cover parameters reflect the vegetation cover of the area. Vegetation can fix the soil through its root system, improve soil structure, and increase soil fertility. Depending on the vegetation cover parameter, different soil improvement measures can be selected. When the vegetation cover parameter is less than or equal to the preset vegetation cover parameter, the soil content is high and the environmental humidity is suitable. However, the vegetation cover is still relatively low. In this case, an instruction to use a soil conditioner is issued to improve the soil and make it suitable for vegetation growth. By taking corresponding improvement measures according to the vegetation cover situation, the role of vegetation in soil improvement is fully utilized, improving soil quality and the stability of the foundation. This further improves the efficiency of soil improvement.

[0060] Specifically, based on the adhesion characterization value, the number of sampling points selected in a single region to be analyzed is adjusted to a corresponding value, wherein, The increase in the number of sampling points was negatively correlated with the adhesion characterization value.

[0061] In this embodiment, optionally, The adhesion characterization value is compared with the first preset adhesion comparison value and the second preset adhesion comparison value; If the adhesion characterization value is less than or equal to the first preset adhesion comparison value, the number of sampling points for a single area to be analyzed will be adjusted to 1.27 times the initial number of sampling points. If the adhesion characterization value is less than or equal to the second preset adhesion comparison value and greater than the first preset adhesion comparison value, the number of sampling points for a single area to be analyzed will be adjusted to 1.19 times the initial number of sampling points. If the adhesion characterization value is greater than the second preset adhesion comparison value, the number of sampling points for a single area to be analyzed will be adjusted to 1.12 times the initial number of sampling points. The first preset adhesion comparison value is 0.64N0, and the second preset adhesion comparison value is 0.85N0, where N0 is the preset adhesion characterization value.

[0062] Specifically, the quality of the topsoil used for backfilling is determined based on the tilt parameter, wherein... The increase in the quality of the topsoil is positively correlated with the tilt parameter.

[0063] In this embodiment, optionally, The tilt parameter is compared with the first preset tilt comparison value and the second preset tilt comparison value. If the tilt parameter is less than or equal to the first preset tilt comparison value, the mass of topsoil used for topsoil backfill will be adjusted to 1.11 times the initial topsoil mass. If the tilt parameter is less than or equal to the second preset tilt comparison value and greater than the first preset tilt comparison value, the quality of the topsoil used for topsoil backfill will be adjusted to 1.22 times the initial topsoil quality. If the tilt parameter is greater than the second preset tilt comparison value, the mass of topsoil used for topsoil backfill will be adjusted to 1.31 times the initial topsoil mass. The first preset tilt comparison value is 0.52Q0, and the second preset tilt comparison value is 0.7Q0, where Q0 is the preset tilt parameter.

[0064] Specifically, after the topsoil is restored, soil amendment parameters for a single area to be analyzed are determined based on vegetation cover parameters.

[0065] Specifically, the increase in the mass of the topsoil is positively correlated with the tilt parameter. The larger the tilt parameter, the easier it is for the topsoil to be carried away by the wind, leaving less effective topsoil, and thus a greater increase in the mass of the topsoil.

[0066] Specifically, based on the vegetation cover parameter, the planting quantity of vegetation in the area to be analyzed is adjusted to a corresponding value, wherein, The increase in the amount of planted vegetation is negatively correlated with the vegetation cover parameter.

[0067] In this embodiment, optionally, The vegetation cover parameter is compared with the first preset coverage comparison value and the second preset coverage comparison value; If the vegetation cover parameter is less than or equal to the first preset cover comparison value, the planting quantity will be adjusted to 1.29 times the initial planting quantity; If the vegetation cover parameter is less than or equal to the second preset cover comparison value and greater than the first preset cover comparison value, then the planting quantity will be adjusted to 1.18 times the initial planting quantity. If the vegetation cover parameter is greater than the second preset cover comparison value, the planting quantity will be adjusted to 1.11 times the initial planting quantity; The first preset coverage comparison value is 1.26Z0, and the second preset coverage comparison value is 1.53Z0, where Z0 is the preset vegetation cover parameter.

[0068] Specifically, the increase in the amount of planted vegetation is negatively correlated with the vegetation cover parameter. The lower the vegetation cover parameter, the more vegetation needs to be planted to ensure effective fixation of the tower base.

[0069] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0070] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for soil improvement for difficult ground of a power transmission line tower foundation, characterized by, include: The adhesion characterization value is determined based on the humidity of the area to be analyzed at several time points in the acquired historical data. The complex site tendency of a single analysis area is defined based on the adhesion characterization value, and the number of sampling points selected for a single analysis area is determined based on the complex site tendency. Based on the humidity identification and detection time points obtained at each time point, samples are obtained from several sampling points within the detection time point. The mean adhesion value is determined based on the adhesion force of each sample, and the acceptance of the area to be analyzed is determined based on the mean adhesion value, including: When an anomaly is identified in the area to be analyzed, the hard rock intrusion characterization value is determined based on the acquired samples, and the soil improvement parameters for a single area to be analyzed are determined based on the hard rock intrusion characterization value, including adjusting the quality of the topsoil used for topsoil backfilling to the corresponding value, issuing netting instructions, issuing instructions for using soil amendments, or adjusting the planting quantity of vegetation to the corresponding value. Once the area to be analyzed is deemed suitable, the current soil amendment parameters are continuously used to amend the individual soil samples to be analyzed.

2. The method for soil improvement of difficult terrain for the foundation of a power transmission line tower according to claim 1, characterized in that, The process of determining the adhesion characterization value based on the obtained humidity data includes solving for the average humidity at each time point to obtain the adhesion characterization value. The process of delineating complex site dips of individual regions to be analyzed based on adhesion characterization values ​​includes the following steps: If the adhesion characterization value is less than or equal to the preset adhesion characterization value, then the single area to be analyzed is identified as having a strong complex site tendency. If the adhesion characterization value is greater than the preset adhesion characterization value, then the single area to be analyzed will be identified as having a weak complex site tendency. The process of determining the number of sampling points to be selected for a single area to be analyzed based on complex site dips includes, If a single region to be analyzed has a strong and complex site tendency, the number of sampling points selected for the single region to be analyzed will be adjusted to the corresponding value based on the cohesion characterization value. If a single region to be analyzed has a weakly complex site tendency, then the current number of sampling points will continue to be used to sample the single region to be analyzed.

3. The method for soil improvement of difficult terrain for the foundation of a power transmission line tower according to claim 2, characterized in that, The process of humidity identification and detection based on the acquired time points includes: Cluster analysis was performed on each humidity level to obtain several data clusters; Count the amount of humidity in each data cluster, and determine the data cluster with the largest amount as the analysis data cluster; Obtain the maximum and minimum values ​​in the data cluster to determine the data range for analysis; Monitor the humidity within the area to be analyzed, and take samples from a single area when the humidity is within the range of the analysis data.

4. The method for soil improvement of difficult terrain for the foundations of electric transmission towers according to claim 3, characterized in that, The process of determining whether the area to be analyzed is qualified based on the mean adhesion value includes: If the mean adhesion value is less than or equal to the preset mean adhesion value, the area to be analyzed is determined to be abnormal, and the hard stone intrusion characterization value is determined based on each sample obtained. If the average adhesion value is greater than the preset average adhesion value, the area to be analyzed is determined to be qualified, and the current soil improvement parameters are used to complete the improvement of a single soil to be analyzed.

5. The method for soil improvement of difficult terrain for the foundations of electric transmission towers according to claim 4, characterized in that, The process of determining the hard rock intrusion characterization value based on the acquired samples includes, Mix the samples and obtain the mass of stones larger than the second size, the mass of gravel smaller than or equal to the second size but larger than the first size, and the mass of soil smaller than or equal to the first size in each sample; The fixed capacity value is obtained by calculating the ratio of the sum of the mass of crushed stone and the mass of soil to the mass of stone. Calculate the sum of the mass of crushed stone and the mass of stone, solve for the ratio of soil mass to the sum of the masses, and obtain the soil enrichment value; By assigning corresponding coefficients to the fixed capacity value and the soil enrichment value respectively and summing them, the hard rock intrusion characterization value is obtained.

6. The soil improvement method for difficult-site locations of transmission line tower foundations according to claim 5, characterized in that, The process of determining soil amendment parameters for a single area to be analyzed based on hard rock intrusion characterization values ​​includes the following steps: If the hard rock intrusion characterization value is less than or equal to the preset hard rock intrusion characterization value, the soil improvement parameters for the individual analysis area are determined based on the tilt parameter of the individual analysis area. If the hard rock intrusion characterization value is greater than the preset hard rock intrusion characterization value, the soil improvement parameters for a single area to be analyzed are determined based on the vegetation cover parameter.

7. The soil improvement method for difficult-site locations of transmission line tower foundations according to claim 6, characterized in that, The process of determining soil amendment parameters for a single analysis area based on its tilt parameters includes the following steps: Obtain the slope of each sampling point, calculate the average value of each slope, and obtain the tilt parameter; If the tilt parameter is less than or equal to the preset tilt parameter, the quality of the topsoil for backfilling is determined based on the tilt parameter. If the tilt parameter is greater than the preset tilt parameter, a net hanging instruction message will be issued.

8. The soil improvement method for difficult-site locations of transmission line tower foundations according to claim 7, characterized in that, The process of determining soil amendment parameters for a single area to be analyzed based on vegetation cover parameters includes the following steps: Select the environmental monitoring area centered on the area to be analyzed, and acquire image information within the environmental monitoring area; Vegetation cover parameters are determined based on image information within the environmental monitoring area; If the vegetation cover parameter is less than or equal to the preset vegetation cover parameter, an instruction message to use the amendment will be issued. If the vegetation cover parameter is greater than the preset vegetation cover parameter, the number of plants to be planted in the area to be analyzed will be adjusted to the corresponding value based on the vegetation cover parameter.

9. The soil improvement method for difficult-site locations of transmission line tower foundations according to claim 8, characterized in that, Based on the adhesion characterization value, the number of sampling points selected in a single region to be analyzed is adjusted to the corresponding value, where, The increase in the number of sampling points was negatively correlated with the adhesion characterization value.

10. The soil improvement method for difficult-site locations of transmission line tower foundations according to claim 9, characterized in that, The quality of the topsoil used for backfilling is determined based on the tilt parameter, among which, The increase in the quality of the topsoil is positively correlated with the tilt parameter; Based on the vegetation cover parameter, the planting quantity of vegetation in the area to be analyzed is adjusted to the corresponding value, whereby... The increase in the amount of planted vegetation is negatively correlated with the vegetation cover parameter.

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