Progressive soil ph adjustment method and system using dilute sulfuric acid solution

Abstract

The application discloses a progressive soil pH value regulation method and system using dilute sulfuric acid solution, relates to the technical field of soil improvement, and comprises the following steps: randomly sampling soil at multiple points, testing the soil buffer coefficient to determine a target soil buffer coefficient; determining the application amount of the target dilute sulfuric acid solution; performing first spraying according to a preset spraying track, detecting the pH value of soil at multiple points, obtaining a detection result, correcting the preset spraying track, and obtaining a second spraying track; spraying based on the second spraying track, correcting the spraying track according to the spraying result, obtaining a third spraying track, and continuously spraying the dilute sulfuric acid solution on the target grassland soil according to the third spraying track to complete the progressive regulation. The application solves the problems of low regulation accuracy and uneven distribution of the spraying solution in the prior art, and achieves the technical effects of accurately regulating the pH value of soil and ensuring that the solution is uniformly sprayed on the target area.

Description

Technical Field

[0001] This invention relates to the field of soil improvement technology, specifically to a progressive soil pH control method and system using dilute sulfuric acid solution. Background Technology

[0002] In agricultural and ecological management, soil pH is often adjusted by uniformly applying pH regulators. However, due to insufficient consideration of the soil's buffering capacity and local pH distribution differences, the results often fail to accurately match the target pH range. Furthermore, the spraying process lacks a dynamic optimization mechanism based on soil monitoring feedback, and unreasonable spraying trajectories and dosage controls can easily lead to uneven distribution of the regulating solution in different areas, resulting in localized imbalances of over- or under-regulation of pH, affecting the uniformity of plant growth and the overall stability of the soil environment. Summary of the Invention

[0003] This application provides a progressive soil pH control method and system using dilute sulfuric acid solution to address the technical problems of low soil pH control accuracy and uneven distribution of sprayed solution in existing technologies.

[0004] In view of the above problems, this application provides a progressive soil pH control method and system using dilute sulfuric acid solution.

[0005] The first aspect of this application provides a progressive soil pH control method using dilute sulfuric acid solution, the method comprising:

[0006] Multiple random soil samples were taken from the target grassland area. The resulting soil sample set was tested for its soil buffering coefficient. The volume of the soil sample solution was then iteratively updated and screened using the mode as the initial screening sample. Based on the screening results, the soil buffering coefficient was determined, generating a target soil buffering coefficient. The initial and target pH values ​​of the target grassland soil were obtained. Combined with the target soil buffering coefficient, the application rate of dilute sulfuric acid aqueous solution was analyzed using the application rate calculation formula to determine the target dilute sulfuric acid aqueous solution application rate. The sprayer was filled with one-third of the target dilute sulfuric acid aqueous solution application rate, and a first spray was performed according to a preset spray trajectory. After a preset interval, the soil pH value of the target grassland soil was measured at multiple points. The results were used to correct the preset spray trajectory, resulting in a second spray trajectory. The target grassland soil was sprayed based on the second spray trajectory, and the second spray trajectory was corrected based on the spraying results, resulting in a third spray trajectory. The target grassland soil was then sprayed with dilute sulfuric acid aqueous solution according to the third spray trajectory, thus progressively controlling the soil pH.

[0007] A second aspect of this application provides a progressive soil pH control system utilizing a dilute sulfuric acid solution, the system comprising:

[0008] The sampling and testing module is used to randomly sample soil at multiple points within the target grassland area, test the soil buffer coefficient of the obtained soil sample set, and iteratively update and screen the obtained soil sample solution addition set using the mode as the initial screening sample. Based on the screening results, the soil buffer coefficient is determined, generating the target soil buffer coefficient. The application rate analysis module is used to obtain the initial and target pH values ​​of the target grassland soil, and, combined with the target soil buffer coefficient, analyze the application rate of dilute sulfuric acid aqueous solution using the application rate calculation formula to determine the target dilute sulfuric acid aqueous solution application rate. The spray trajectory correction module is used to correct the spraying trajectory according to the target... One-third of the amount of dilute sulfuric acid solution is used to fill the sprayer, and the first spray is performed according to the preset spray trajectory. After a preset interval, the soil pH value of the target grassland is measured at multiple points to obtain the test results. Based on the test results, the preset spray trajectory is corrected to obtain the second spray trajectory. The progressive control module is used to spray the target grassland soil based on the second spray trajectory, correct the second spray trajectory based on the spray results to obtain the third spray trajectory, and continue to spray the target grassland soil with dilute sulfuric acid solution according to the third spray trajectory to progressively control the soil pH.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] This application involves randomly sampling soil at multiple points within the target grassland area, testing the soil buffer coefficient of the obtained soil sample set, and iteratively updating and screening the soil sample solution addition set obtained from the test using the mode as the initial screening sample. Based on the screening results, the soil buffer coefficient is determined to generate a target soil buffer coefficient. The initial pH value and target pH value of the target grassland soil are obtained, and combined with the target soil buffer coefficient, the application amount of dilute sulfuric acid aqueous solution is analyzed using the application rate calculation formula to determine the target dilute sulfuric acid aqueous solution application rate. The sprayer is filled with solution at one-third of the target dilute sulfuric acid aqueous solution application rate, and a first spray is performed according to a preset spray trajectory. After a preset interval, the soil pH value of the target grassland soil is detected at multiple points, and the detection results are obtained. Based on the detection results, the preset spray trajectory is corrected to obtain a second spray trajectory. The target grassland soil is sprayed based on the second spray trajectory, and the second spray trajectory is corrected based on the spraying results to obtain a third spray trajectory. The target grassland soil is then sprayed with dilute sulfuric acid aqueous solution according to the third spray trajectory, thus progressively controlling the soil pH. This invention addresses the technical problems of low precision in soil pH control and uneven distribution of sprayed solution in existing technologies. By combining a progressive adjustment method that integrates soil buffer coefficient, pH detection, and spray trajectory optimization, it achieves the technical effect of precisely regulating soil pH and ensuring uniform spraying of the solution to the target area. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 A schematic diagram of the progressive soil pH control method using dilute sulfuric acid solution provided in the embodiments of this application;

[0013] Figure 2 This is a schematic diagram of a progressive soil pH control system using dilute sulfuric acid solution, provided in an embodiment of this application.

[0014] Figure labeling: Sampling and testing module 11, application rate analysis module 12, spray trajectory correction module 13, progressive control module 14. Detailed Implementation

[0015] This application provides a progressive soil pH control method and system using dilute sulfuric acid solution. It addresses the technical problems of low precision in soil pH control and uneven distribution of sprayed solution in existing technologies. By combining a progressive adjustment method that incorporates soil buffer coefficient, pH detection, and spray trajectory optimization, it achieves the technical effect of accurately adjusting soil pH and ensuring uniform spraying of the solution to the target area.

[0016] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0017] It should be noted that any variation of the terms "comprising" and "having" is intended to cover non-exclusive inclusion, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or modules that are not explicitly listed or that are inherent to such processes, methods, products, or devices.

[0018] Example 1, as Figure 1 As shown, this application provides a progressive soil pH control method using dilute sulfuric acid solution, the method comprising:

[0019] Step S100: Randomly sample soil from multiple points within the target grassland, test the soil buffer coefficient of the obtained soil sample set, perform iterative screening on the added volume set of the tested soil sample solution with the mode as the initial screening sample, determine the soil buffer coefficient based on the screening results, and generate the target soil buffer coefficient.

[0020] In this embodiment, firstly, multiple points of random soil sampling are performed on the target grassland soil. Random soil sampling refers to sampling from different locations within the target grassland. Through this random sampling, multiple soil samples of a preset volume are obtained, resulting in a soil sample set.

[0021] Next, the soil buffering coefficient of the soil sample set was tested. In this step, the initial pH value of soil samples randomly taken from the target grassland was first measured using a pH meter, and the initial pH value of each sample was recorded. Then, different amounts of dilute sulfuric acid solution were added to each soil sample in batches to gradually adjust the soil pH value. After each addition, the reaction was allowed to complete, and the pH value of the soil sample was measured again. This process was repeated until the measured pH value reached the preset target value. This addition process is shown in Table 1.

[0022] Table 1: Record of pH Adjustment Process for Soil Samples

[0023] Sample number initial pH value Volume of dilute sulfuric acid solution added (mL) pH value after addition Cumulative volume of solution added (mL) Has the target pH value been reached? Sample 1 7.5 10 6.9 10 no Sample 1 6.9 20 6.7 30 no Sample 1 6.7 20 6.6 50 no Sample 1 6.6 10 6.5 60 yes Sample 2 7.3 15 6.8 15 no Sample 2 6.8 20 6.6 35 no Sample 2 6.6 10 6.5 45 yes Sample 3 7.8 25 6.9 25 no Sample 3 6.9 25 6.5 50 yes Sample 4 7.6 20 6.8 20 no Sample 4 6.8 20 6.6 40 no Sample 4 6.6 10 6.5 50 yes

[0024] During the measurement process, the volume of dilute sulfuric acid solution added each time was recorded, thus obtaining a set of soil sample solution addition volumes. Then, a sample screening method was used to select representative soil sample solution addition volumes from this set. Finally, combining the concentration of the dilute sulfuric acid solution with the selected representative soil sample solution addition volumes, soil buffer coefficient analysis was performed to determine the target soil buffer coefficient.

[0025] Furthermore, the method provided in the application embodiment, which involves randomly sampling the soil at multiple points within the target grassland, testing the soil buffer coefficient of the obtained soil sample set, and determining the target soil buffer coefficient, further includes:

[0026] The initial pH value of a soil sample set is measured using a pH meter to obtain a set of initial pH values ​​for each sample, wherein each initial pH value corresponds one-to-one with a soil sample. Based on the set of initial pH values, different amounts of a first concentration of dilute sulfuric acid solution are added to the soil sample set in batches. After each reaction is complete, the pH value of the soil sample set is measured until the preset pH value is reached. The measurement results are summarized to obtain a set of soil sample solution addition volumes. The set of soil sample solution addition volumes is then screened to determine representative soil sample solution addition volumes. Soil buffer coefficient analysis is performed by combining the first concentration of the dilute sulfuric acid solution and the representative soil sample solution addition volumes to obtain the target soil buffer coefficient.

[0027] In this embodiment of the application, a pH meter is first used to perform preliminary measurements on randomly sampled soil samples within the target grassland to obtain the initial pH value of each soil sample. The pH value of each soil sample is then recorded, and the initial pH value of each sample is matched with its corresponding soil sample to form a set of initial pH values ​​for the samples.

[0028] Next, based on the initial pH values ​​of the samples, different amounts of a first-concentration dilute sulfuric acid solution, for example, 0.1 mol / L, are added to each soil sample in batches. A known concentration of dilute sulfuric acid solution is added to each soil sample, with different amounts added each time. After each addition of solution, the reaction is allowed to complete, ensuring thorough mixing of the soil and solution and a stable pH value. The pH value of the soil sample is then measured again using a pH meter, and the result is recorded. For example, assuming the initial addition of 10 mL of 0.1 mol / L dilute sulfuric acid solution results in a soil pH of 6.5, adding another 20 mL results in a pH of 6.0, and this process continues until the soil pH reaches the preset pH value. The preset pH value is a pre-defined desired pH value, set according to requirements.

[0029] After the reaction of all soil samples was completed, the volume data of each addition of dilute sulfuric acid solution was collected to form a soil sample solution addition volume set. This set records the volume of dilute sulfuric acid solution required for each soil sample to reach the target pH value.

[0030] Next, a sample screening process is performed on the set of soil sample solution addition volumes. In this step, the most frequently occurring solution addition volume (mode) is first extracted from the set of soil sample solution addition volumes as the initial screening sample. Then, based on a preset neighborhood bandwidth, a neighborhood of this sample is constructed and updated multiple times using a sample screening function to gradually select the most representative sample. This update process continues until a stopping constraint is met, ultimately yielding the target screening sample. The set of soil sample solution addition volumes corresponding to the target screening sample is then used as the representative soil sample solution addition volume.

[0031] Finally, the soil buffer coefficient was analyzed by combining the initial concentration of the dilute sulfuric acid solution with the volume of the representative soil sample solution added. In this process, the formula was used... Perform calculations, where Indicates the soil buffer coefficient. The number of hydrogen ions added (mol). This refers to the change in pH value, specifically the change in soil pH value during the acid-base regulation process. Let L be the volume of the soil (L). Furthermore, Through formula Calculations are performed, in which, The concentration (mol / L) of the applied dilute sulfuric acid solution. The volume of the applied dilute sulfuric acid solution is used. The target soil buffer coefficient is calculated using the aforementioned formula.

[0032] Furthermore, in the method provided in the application embodiments, the process of screening the set of soil sample solution addition volumes to determine representative soil sample solution addition volumes further includes:

[0033] Extract the mode from the set of soil sample solution addition volumes and use it as the initial screening sample. Construct an initial screening sample neighborhood from the set of soil sample solution addition volumes according to a preset sample neighborhood bandwidth. Update the initial screening sample in the initial screening sample neighborhood using a sample screening function to determine the updated screening sample. Repeat this process multiple times to update the updated screening sample until the update stop constraint is met to obtain the target screening sample. Use the soil sample solution addition volume corresponding to the target screening sample as the representative soil sample solution addition volume.

[0034] In this embodiment, the mode is first extracted from the set of soil sample solution addition volumes; that is, the solution addition volume with the highest frequency in this set is selected as the initial screening sample. Next, an initial screening sample neighborhood is constructed for the initial screening sample based on a preset sample neighborhood bandwidth, which is pre-set by technical experts. Specifically, soil sample solution addition volumes in the set of soil sample solution addition volumes whose volume difference with the initial screening sample is less than the preset sample neighborhood bandwidth are added to the initial screening sample neighborhood. Through this process, the construction of the initial screening sample neighborhood is completed.

[0035] Next, the initial selected samples are updated in their neighborhood using a sample selection function. The sample selection function is: ;in, To update the screening sample, To initially screen the neighborhood of the sample, Add volume to the i-th soil sample solution in the initial screening sample neighborhood. For the initial screening samples, This is a weight kernel function built based on the Gaussian function. This function is used to calculate and determine the updated selection samples.

[0036] This process is repeated multiple times for the updated screening samples until the update stop constraint is met. This means that the update stops when the maximum number of updates is reached or the change between adjacent updates is less than a preset threshold. The target screening sample is then obtained, and the volume of soil sample solution added corresponding to the target screening sample is used as the representative volume of soil sample solution added. The preset threshold is set by technical experts based on requirements.

[0037] Furthermore, the method provided in the application embodiments also includes:

[0038] The update stop constraint is that the number of updates meets the preset number of updates or the difference in the amount of data in the neighborhood of the update filter sample between two adjacent updates is less than or equal to the preset difference in the amount of data.

[0039] In this embodiment, the update stop constraint includes two types: first, the number of updates reaches a preset maximum number of updates, meaning that sample updates are performed within a specified number of times, and updates stop after exceeding this number; second, the difference in the amount of data within the neighborhood of two adjacent updated selected samples is less than or equal to a preset data difference threshold. In other words, when the change in the selected samples after two adjacent updates is sufficiently small, it indicates that the samples have stabilized, and the update process can stop.

[0040] Step S200: Obtain the initial pH value and target pH value of the target grassland soil, combine the target soil buffer coefficient, and use the application rate calculation formula to analyze the application rate of dilute sulfuric acid aqueous solution to determine the target application rate of dilute sulfuric acid aqueous solution.

[0041] In this embodiment, the initial pH value and target pH value of the target grassland soil are first obtained. The initial pH value of the target grassland soil is the initial pH value of the target screening sample. Next, based on the target soil buffer coefficient, a pre-defined application rate calculation formula is used to analyze the application rate of dilute sulfuric acid aqueous solution and determine the target application rate.

[0042] Furthermore, in the method provided in the application embodiments, the formula for calculating the application amount is:

[0043] ;in, The target amount of dilute sulfuric acid aqueous solution to be applied. The target soil buffer coefficient, This is the initial pH value. For the target pH value, The area of ​​the target grassland. The effective soil layer thickness of the target grassland soil. This refers to the concentration of the dilute sulfuric acid aqueous solution. is the molar mass of sulfuric acid.

[0044] In this embodiment of the application, the formula for calculating the application amount is as follows: ;in, The target amount of dilute sulfuric acid aqueous solution to be applied. The target soil buffer coefficient, This is the initial pH value. For the target pH value, The area of ​​the target grassland is obtained by measuring the actual area of ​​the target grassland; The effective soil layer thickness for the target grassland soil is predetermined by technical experts. This refers to the concentration of a dilute sulfuric acid aqueous solution. is the molar mass of sulfuric acid.

[0045] Step S300: Fill the sprayer with one-third of the target dilute sulfuric acid aqueous solution, spray for the first time according to the preset spray trajectory, and after a preset interval, perform multi-point soil pH value testing on the target grassland soil to obtain the test results. Based on the test results, correct the preset spray trajectory to obtain the second spray trajectory.

[0046] In this embodiment, the dilute sulfuric acid solution is first filled into the sprayer at one-third of the target application amount, and then sprayed for the first time according to a pre-set spraying trajectory. After spraying, a predetermined waiting period is observed to ensure that the soil and dilute sulfuric acid solution react fully. The predetermined waiting period refers to the time interval between spraying the dilute sulfuric acid solution to ensure sufficient reaction between the solution and the soil. This time period is adjusted by technical experts based on factors such as soil type, solution concentration, and environmental conditions (e.g., temperature and humidity). For example, assuming a soil pH adjustment process with a predetermined waiting period of 24 hours, it means that after spraying, a 24-hour waiting period is allowed to ensure sufficient reaction between the soil and the dilute sulfuric acid solution and a stable pH value.

[0047] After the waiting period, multi-point soil pH testing is performed. Specifically, the target grassland soil is first divided into grids according to a preset particle size, and a test point is randomly extracted from each grid to obtain a set of test points. Next, these test point sets are traversed, and the pH value of each test point is measured and recorded to form a set of pH values ​​for each test point. Through this process, data on pH changes in the soil at different locations is obtained. Subsequently, based on the set of pH values ​​for each test point, the grid set is fused in two dimensions to determine the final fused grid set and fused grid pH set, ensuring a one-to-one correspondence between each grid and its corresponding pH value.

[0048] Based on these test results, the changes in soil pH are further analyzed to determine whether the spraying trajectory needs to be corrected. If the pH value of the fused grid pH set fails to meet the preset target pH value, these non-compliant grids are added to the abnormal fused grid set. Then, based on the location of these abnormal grids, the preset spraying trajectory is adjusted to ensure that the spraying trajectory coincides with the abnormal grids to the maximum extent, thereby optimizing the effect of the second spraying and finally obtaining the second spraying trajectory.

[0049] Furthermore, the method provided in the application embodiment, which involves multi-point soil pH testing of the target grassland soil to obtain test results, also includes:

[0050] The target grassland soil is divided into grids according to a preset granularity to obtain a grid set. A detection point is randomly extracted from each grid to obtain a detection point set. The detection point set is traversed to detect pH values ​​to obtain a detection point pH value set. The grid set is then fused in two dimensions based on the detection point pH value set to determine a fused grid set and a fused grid pH value set. The fused grid set and the fused grid pH value set are used as the detection results, and the fused grid and the fused grid pH values ​​correspond one-to-one.

[0051] In this embodiment, the target grassland soil is first divided into grids according to a preset granularity. The granularity refers to the size of the soil segments. For example, if each grid is 1 square meter, the target grassland will be divided into multiple small areas of 1 square meter each. Each divided area is called a grid, and this process yields a set of grids. Subsequently, within each grid, a detection point is randomly selected, and these detection points are combined into a detection point set.

[0052] After obtaining the set of testing points, the pH value of the soil at each testing point is measured using a pH meter. Through the measurement, the pH values ​​of multiple testing points are obtained, and these data constitute the set of pH values ​​of the testing points.

[0053] Subsequently, a two-dimensional fusion of the grid set was performed based on the pH value set of the detection points. In this process, the similarity of the pH values ​​at the detection points and the positional similarity of the grids were analyzed to identify grids with similarity. Grids that met a preset similarity threshold were fused to obtain a fused grid set. Next, the mean pH value of the fused grid set was calculated based on the pH value set of the detection points, resulting in a fused grid pH value set, i.e., the pH value corresponding to each fused grid. After the two-dimensional fusion was completed, the fused grid set and the fused grid pH value set constituted the final detection results. These results reflect the overall pH distribution of the target grassland soil, and each fused grid corresponds to a specific fused grid pH value.

[0054] Furthermore, in the method provided in the application embodiment, the two-dimensional fusion of the divided grid set based on the detection point pH value set to determine the fused divided grid set and the fused grid pH value set further includes:

[0055] The nearest neighbor similarity of the grid set is performed from two dimensions: the approximation of the pH value of the detection points and the approximation of the grid location. The grids whose identification results meet the preset similarity threshold are fused to obtain the fused grid set. The mean pH value of the fused grid set is calculated based on the pH value set of the detection points to obtain the pH value set of the fused grid.

[0056] In this embodiment of the application, the nearest neighbor similarity of the grid set is first identified from two dimensions: the approximation of the pH value of the detection point and the approximation of the grid position.

[0057] The similarity of pH values ​​at detection points is measured based on the difference in pH values ​​between detection points within each grid. The pH similarity of each grid is obtained by calculating the difference in pH values ​​between detection points across different grids (e.g., using Euclidean distance or other distance metrics). For example, assuming one grid has a detection point with a pH of 6.0 and another grid has a detection point with a pH of 6.1, their pH difference is 0.1, indicating that their pH values ​​are very close, and therefore the pH similarity between these two grids is high. Similarly, if the pH difference is large, such as 0.5 or higher, the similarity is low.

[0058] Meanwhile, the location similarity of the grid is evaluated based on the spatial distance between grid cells. Each grid cell has a geographical location (such as coordinates in two-dimensional space). The spatial similarity between grid cells is evaluated by calculating the distance between their center points. If the center distance between two grid cells is very close, their location similarity is high; if the distance is far, their location similarity is low.

[0059] Once these two similarity values ​​are calculated, the next step is to determine whether to merge the meshes based on a preset similarity threshold. For example, if the similarity threshold is set to 0.2, then the two meshes are considered sufficiently similar and will be merged only if both the pH value similarity and the location approximation meet this threshold. If either similarity is below the threshold, these meshes will not be merged. In other words, both similarity conditions must simultaneously meet the preset threshold for the meshes to be merged, resulting in a merged mesh set.

[0060] Once the grid fusion is performed, the next step is to calculate the average pH value of the fused grid set based on the set of pH values ​​from the detection points. That is, the pH value of each grid after fusion is determined by calculating the average of all detection points. For example, if there are multiple detection points within the fused grid with pH values ​​of 6.0, 6.2, and 6.4, then the final pH value of that grid is the average of these values, which is 6.2. Through the aforementioned calculation process, the average pH value of the fused grid set is calculated based on the set of pH values ​​from the detection points, ultimately yielding the fused grid pH value set.

[0061] Furthermore, in the method provided in the application embodiment, the method of correcting the preset spray trajectory based on the detection result to obtain a second spray trajectory further includes:

[0062] Determine whether the set of pH values ​​of the fused grid meets the preset pH value. If not, add the corresponding fused grid to the abnormal fused grid set. Based on the position of the abnormal fused grid in the abnormal fused grid set, correct the preset spray trajectory to maximize the number of overlaps between the spray trajectory and the abnormal fused grid, and obtain the second spray trajectory.

[0063] Furthermore, the method provided in the application embodiments also includes:

[0064] If the pH value set of the fused grid all meets the preset first pH value, then the preset spray trajectory will continue to be used as the second spray trajectory.

[0065] In this embodiment, the process first determines whether the pH value set of the fused grid meets a preset primary pH value, that is, checks whether the pH value of each fused grid meets the predetermined target pH value. The preset primary pH value is a standard pH value pre-set in the soil conditioning scheme according to the plant growth requirements and soil properties, which may be a value within a specific range (e.g., 6.0-6.5). By comparing the pH value of each fused grid with the target pH value, if the pH value of some grids does not reach the target range, these grids are considered abnormal grids and added to the abnormal fused grid set.

[0066] Next, based on the locations of anomalous grids in the anomalous fusion grid set, the preset spray trajectory is corrected. The spray trajectory refers to the initially designed dilute sulfuric acid solution spraying path, intended to cover different areas of the grassland and adjust the soil pH. However, since the pH value in some areas fails to meet the target, the spray path needs to be adjusted according to the location of the anomalous fusion grid. The goal of the correction is to maximize the overlap between the spray trajectory and the anomalous fusion grid, ensuring that these areas with lower pH values ​​receive more solution spraying, thereby improving the pH adjustment effect. This correction process is performed using a path optimization algorithm, which calculates the overlap between each spray trajectory and the anomalous grid and adjusts the trajectory path so that the spray solution can cover more anomalous grid areas. For example, assuming the original spray path was far from some anomalous areas, the path optimization algorithm will replan the path to ensure that these anomalous areas receive more solution spraying. During the correction process, spatial analysis techniques, such as Geographic Information Systems (GIS), are used to identify the locations of anomalous grids and calculate the overlap between the spray trajectory and these areas. By using GIS, the spatial relationship between the spraying trajectory and abnormal areas is dynamically calculated, thereby optimizing the adjustment of the spraying path and ensuring more precise regulation of soil pH. Finally, the corrected spraying path becomes the second spraying trajectory.

[0067] If, when checking the pH value set of the fused grid, it is found that the pH value of all grids has met the preset pH value, that is, the pH value of all areas has been adjusted to the target range, then the preset spray trajectory does not need to be modified and can be directly used as the second spray trajectory.

[0068] Step S400: Spray the target grassland soil based on the second spraying trajectory, correct the second spraying trajectory according to the spraying results, obtain the third spraying trajectory, and continue to spray the target grassland soil with dilute sulfuric acid aqueous solution according to the third spraying trajectory to progressively regulate the soil pH.

[0069] In this embodiment, the target grassland soil is first sprayed according to the second spraying trajectory. After the spraying process is completed, the soil pH change is monitored, and the spraying effect is evaluated through multi-point pH measurement. Based on the pH change of the soil after spraying, it can be determined which areas of the soil have not yet reached the expected target pH value. Based on the detection results, the second spraying trajectory is corrected. The correction process is consistent with the aforementioned trajectory correction method, with the goal of maximizing the overlap between the spraying trajectory and the anomalous fusion grid. Specifically, the corrected spraying trajectory will try to cover those areas that have not yet reached the target pH value. This correction process is achieved by using a path optimization algorithm combined with spatial analysis technology (such as GIS). The path optimization algorithm adjusts the spraying path by calculating the degree of overlap between the original spraying path and the soil anomalous areas, making it more accurately cover these anomalous areas. Finally, through correction, a third spraying trajectory is obtained. In some cases, all grids in the pH value set of the fusion grid after the second spraying have already met the preset pH value, that is, the pH value of all soil areas has reached the predetermined target. Then the second spraying trajectory has effectively completed the pH regulation work. In this case, the second spray trajectory does not need to be modified and can be directly used as the third spray trajectory.

[0070] Finally, the target grassland soil is further sprayed according to the trajectory of the third spraying to progressively regulate soil pH and ensure that the pH value of all areas remains stable within the target range. Progressive regulation involves three precise sprays to gradually adjust the soil pH to the target value, avoiding excessive application at once and ensuring that the soil pH gradually approaches the ideal state over multiple cycles.

[0071] In summary, the embodiments of this application have at least the following technical effects:

[0072] This application involves randomly sampling soil at multiple points within the target grassland area, testing the soil buffer coefficient of the obtained soil sample set, and iteratively updating and screening the soil sample solution addition set obtained from the test using the mode as the initial screening sample. Based on the screening results, the soil buffer coefficient is determined to generate a target soil buffer coefficient. The initial pH value and target pH value of the target grassland soil are obtained, and combined with the target soil buffer coefficient, the application amount of dilute sulfuric acid aqueous solution is analyzed using the application rate calculation formula to determine the target dilute sulfuric acid aqueous solution application rate. The sprayer is filled with solution at one-third of the target dilute sulfuric acid aqueous solution application rate, and a first spray is performed according to a preset spray trajectory. After a preset interval, the soil pH value of the target grassland soil is detected at multiple points, and the detection results are obtained. Based on the detection results, the preset spray trajectory is corrected to obtain a second spray trajectory. The target grassland soil is sprayed based on the second spray trajectory, and the second spray trajectory is corrected based on the spraying results to obtain a third spray trajectory. The target grassland soil is then sprayed with dilute sulfuric acid aqueous solution according to the third spray trajectory, thus progressively controlling the soil pH. This invention addresses the technical problems of low precision in soil pH control and uneven distribution of sprayed solution in existing technologies. By combining a progressive adjustment method that integrates soil buffer coefficient, pH detection, and spray trajectory optimization, it achieves the technical effect of precisely regulating soil pH and ensuring uniform spraying of the solution to the target area.

[0073] Example 2, based on the same inventive concept as the progressive soil pH control method using dilute sulfuric acid solution in the previous examples, such as... Figure 2 As shown, this application provides a progressive soil pH control system using dilute sulfuric acid solution. The system and method embodiments in this application are based on the same inventive concept. The system includes:

[0074] Sampling and testing module 11 is used to randomly sample soil at multiple points within the target grassland, test the soil buffer coefficient of the obtained soil sample set, and perform iterative screening of the soil sample solution addition volume set obtained from the test using the mode as the initial screening sample. Based on the screening results, the soil buffer coefficient is determined, generating the target soil buffer coefficient. Application rate analysis module 12 is used to obtain the initial pH value and target pH value of the target grassland soil, and, combined with the target soil buffer coefficient, analyze the application rate of dilute sulfuric acid aqueous solution using the application rate calculation formula to determine the target dilute sulfuric acid aqueous solution application rate. Spray trajectory correction module 13 is used to perform spraying trajectory correction according to the above... One-third of the target dilute sulfuric acid aqueous solution is used to fill the sprayer, and the first spray is performed according to the preset spray trajectory. After a preset interval, the soil pH value of the target grassland soil is measured at multiple points to obtain the test results. Based on the test results, the preset spray trajectory is corrected to obtain the second spray trajectory. The progressive control module 14 is used to spray the target grassland soil based on the second spray trajectory, correct the second spray trajectory based on the spray results to obtain the third spray trajectory, and continue to spray the target grassland soil with dilute sulfuric acid aqueous solution according to the third spray trajectory to progressively control the soil pH.

[0075] Furthermore, the system is also used to implement the following functions:

[0076] The target grassland soil is divided into grids according to a preset granularity to obtain a grid set. A detection point is randomly extracted from each grid to obtain a detection point set. The detection point set is traversed to detect pH values ​​to obtain a detection point pH value set. The grid set is then fused in two dimensions based on the detection point pH value set to determine a fused grid set and a fused grid pH value set. The fused grid set and the fused grid pH value set are used as the detection results, and the fused grid and the fused grid pH values ​​correspond one-to-one.

[0077] Furthermore, the system is also used to implement the following functions:

[0078] The nearest neighbor similarity of the grid set is performed from two dimensions: the approximation of the pH value of the detection points and the approximation of the grid location. The grids whose identification results meet the preset similarity threshold are fused to obtain the fused grid set. The mean pH value of the fused grid set is calculated based on the pH value set of the detection points to obtain the pH value set of the fused grid.

[0079] Furthermore, the system is also used to implement the following functions:

[0080] Determine whether the set of pH values ​​of the fused grid meets the preset pH value. If not, add the corresponding fused grid to the abnormal fused grid set. Based on the position of the abnormal fused grid in the abnormal fused grid set, correct the preset spray trajectory to maximize the number of overlaps between the spray trajectory and the abnormal fused grid, and obtain the second spray trajectory.

[0081] Furthermore, the system is also used to implement the following functions:

[0082] If the pH value set of the fused grid all meets the preset first pH value, then the preset spray trajectory will continue to be used as the second spray trajectory.

[0083] Furthermore, the system is also used to implement the following functions:

[0084] The formula for calculating the application rate is:

[0085] ;in, The target amount of dilute sulfuric acid aqueous solution to be applied. The target soil buffer coefficient, This is the initial pH value. For the target pH value, The area of ​​the target grassland. The effective soil layer thickness of the target grassland soil. This refers to the concentration of a dilute sulfuric acid aqueous solution. is the molar mass of sulfuric acid.

[0086] Furthermore, the system is also used to implement the following functions:

[0087] The initial pH value of a soil sample set is measured using a pH meter to obtain a set of initial pH values ​​for each sample, wherein each initial pH value corresponds one-to-one with a soil sample. Based on the set of initial pH values, different amounts of a first concentration of dilute sulfuric acid solution are added to the soil sample set in batches. After each reaction is complete, the pH value of the soil sample set is measured until the preset pH value is reached. The measurement results are summarized to obtain a set of soil sample solution addition volumes. The set of soil sample solution addition volumes is then screened to determine representative soil sample solution addition volumes. Soil buffer coefficient analysis is performed by combining the first concentration of the dilute sulfuric acid solution and the representative soil sample solution addition volumes to obtain the target soil buffer coefficient.

[0088] Furthermore, the system is also used to implement the following functions:

[0089] Extract the mode from the set of soil sample solution addition volumes and use it as the initial screening sample. Construct an initial screening sample neighborhood from the set of soil sample solution addition volumes according to a preset sample neighborhood bandwidth. Update the initial screening sample in the initial screening sample neighborhood using a sample screening function to determine the updated screening sample. Repeat this process multiple times to update the updated screening sample until the update stop constraint is met to obtain the target screening sample. Use the soil sample solution addition volume corresponding to the target screening sample as the representative soil sample solution addition volume.

[0090] Furthermore, the system is also used to implement the following functions:

[0091] The update stop constraint is that the number of updates meets the preset number of updates or the difference in the amount of data in the neighborhood of the update filter sample between two adjacent updates is less than or equal to the preset difference in the amount of data.

[0092] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, the above description focuses on specific embodiments of this specification. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some implementations, multitasking and parallel processing are possible or may be advantageous.

[0093] The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

[0094] This specification and accompanying drawings are merely illustrative examples of this application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from its scope. Therefore, if such modifications and modifications fall within the scope of this application and its equivalents, this application intends to include such modifications and modifications.

Claims

1. A progressive soil pH control method using dilute sulfuric acid solution, characterized in that, The method includes: Multiple random soil samples were taken from the target grassland. The soil buffer coefficient of the obtained soil sample set was tested. The soil sample solution addition volume set obtained from the test was updated and iterated with the mode as the initial screening sample. The soil buffer coefficient was determined based on the screening results, and the target soil buffer coefficient was generated. The initial and target pH values ​​of the target grassland soil were obtained. Combined with the target soil buffer coefficient, the application rate of dilute sulfuric acid aqueous solution was analyzed using the application rate calculation formula to determine the target application rate of dilute sulfuric acid aqueous solution. The sprayer is filled with one-third of the target dilute sulfuric acid aqueous solution. The first spray is carried out according to the preset spray trajectory. After a preset interval, the soil pH value of the target grassland soil is tested at multiple points to obtain the test results. The preset spray trajectory is corrected according to the test results to obtain the second spray trajectory. The target grassland soil is sprayed based on the second spraying trajectory. The second spraying trajectory is then corrected based on the spraying results to obtain the third spraying trajectory. The target grassland soil is then sprayed with a dilute sulfuric acid solution according to the third spraying trajectory to progressively regulate the soil pH. Multiple random soil samples were taken from the target grassland area. Soil buffering coefficient tests were performed on the obtained soil sample sets to determine the target soil buffering coefficient, including: The initial pH value of the soil sample set is measured using a pH meter to obtain the initial pH value set of the samples, wherein the initial pH value of the samples corresponds one-to-one with the soil samples; Based on the initial pH value set of the samples, different amounts of dilute sulfuric acid solution of the first concentration were added to the soil sample set in batches. After each reaction was complete, the pH value of the soil sample set was measured until the measurement result reached the preset pH value. The measurement results were summarized to obtain the set of soil sample solution added volume. The set of soil sample solution addition volumes was screened to determine representative soil sample solution addition volumes. The target soil buffer coefficient is obtained by combining the first concentration of the dilute sulfuric acid solution with the volume of the representative soil sample solution added. The set of soil sample solution addition volumes is subjected to sample screening to determine representative soil sample solution addition volumes, including: Extract the mode from the set of soil sample solution addition volumes and use it as the initial screening sample. Construct the initial screening sample neighborhood from the set of soil sample solution addition volumes according to the preset sample neighborhood bandwidth. The initial selected samples are updated in the neighborhood of the initial selected samples using a sample selection function to determine the updated selected samples; This process is repeated multiple times for the updated screening sample until the update stop constraint is met, thus obtaining the target screening sample. The volume of soil sample solution added corresponding to the target screening sample is taken as the volume of soil sample solution added.

2. The progressive soil pH control method using dilute sulfuric acid solution as described in claim 1, characterized in that, The target grassland soil was subjected to multi-point soil pH testing, and the test results were obtained, including: The target grassland soil is divided into grids according to a preset granularity to obtain a grid set, and a detection point is randomly extracted from each grid to obtain a detection point set. The pH value is measured by traversing the set of detection points to obtain the set of pH values ​​for each detection point. Based on the set of pH values ​​at the detection points, the set of divided grids is fused in two dimensions to determine the fused grid set and the fused grid pH value set. The fused grid set and the fused grid pH value set are used as the detection results, and the fused grid and the fused grid pH values ​​correspond one-to-one.

3. The progressive soil pH control method using dilute sulfuric acid solution as described in claim 2, characterized in that, Based on the set of pH values ​​at the detection points, a two-dimensional fusion is performed on the divided grid set to determine the fused divided grid set and the fused grid pH value set, including: The nearest neighbor similarity of the grid set is performed from two dimensions: the approximation of the pH value of the detection point and the approximation of the grid position. The grids whose recognition results meet the preset similarity threshold are fused to obtain the fused grid set. The average pH value of the fused grid set is calculated based on the pH value set of the detection points to obtain the pH value set of the fused grid.

4. The progressive soil pH control method using dilute sulfuric acid solution as described in claim 2, characterized in that, The preset spray trajectory is corrected based on the detection results to obtain a second spray trajectory, including: Determine whether the fused mesh pH value set meets the preset pH value. If not, add the corresponding fused mesh to the abnormal fused mesh set. Based on the position of the abnormal fusion grid in the abnormal fusion grid set, the preset spray trajectory is corrected to maximize the number of overlaps between the spray trajectory and the abnormal fusion grid, thus obtaining the second spray trajectory.

5. The progressive soil pH control method using dilute sulfuric acid solution as described in claim 4, characterized in that, If the pH value set of the fused grid all meets the preset first pH value, then the preset spray trajectory will continue to be used as the second spray trajectory.

6. The progressive soil pH control method using dilute sulfuric acid solution as described in claim 1, characterized in that, The formula for calculating the application rate is: ； in, The target amount of dilute sulfuric acid aqueous solution to be applied. The target soil buffer coefficient, This is the initial pH value. For the target pH value, The area of ​​the target grassland. The effective soil layer thickness of the target grassland soil. This refers to the concentration of the dilute sulfuric acid aqueous solution. is the molar mass of sulfuric acid.

7. The progressive soil pH control method using dilute sulfuric acid solution as described in claim 1, characterized in that, The update stop constraint is that the number of updates meets the preset number of updates or the difference in the amount of data in the neighborhood of the update filter sample between two adjacent updates is less than or equal to the preset difference in the amount of data.

8. A progressive soil pH control system using dilute sulfuric acid solution, characterized in that, The system is used to perform the method according to any one of claims 1-7, the system comprising: The sampling and testing module is used to randomly sample soil at multiple points within the target grassland, test the soil buffer coefficient of the obtained soil sample set, update and iterate the sample set with the mode as the initial screening factor, determine the soil buffer coefficient based on the screening results, and generate the target soil buffer coefficient. The application rate analysis module is used to obtain the initial pH value and target pH value of the target grassland soil, and combined with the target soil buffer coefficient, analyze the application rate of dilute sulfuric acid aqueous solution using the application rate calculation formula to determine the target application rate of dilute sulfuric acid aqueous solution. The spray trajectory correction module is used to fill the sprayer with solution according to one-third of the target dilute sulfuric acid aqueous solution application amount, perform the first spray according to the preset spray trajectory, and after a preset interval, perform multi-point soil pH value detection on the target grassland soil to obtain the detection results. Based on the detection results, the preset spray trajectory is corrected to obtain the second spray trajectory. The progressive control module is used to spray the target grassland soil based on the second spray trajectory, correct the second spray trajectory according to the spraying results, obtain the third spray trajectory, and continue to spray the target grassland soil with dilute sulfuric acid aqueous solution according to the third spray trajectory to progressively control the soil pH.

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