Progressive soil acidity and alkalinity regulation and control method and system using dilute sulfuric acid solution

Abstract

The invention discloses a progressive soil acidity and alkalinity regulation and control method and system using a dilute sulfuric acid solution, and relates to the technical field of soil improvement, and the method comprises the following steps: carrying out multipoint soil random sampling, and carrying out a soil buffer coefficient test to determine a target soil buffer coefficient; determining the application amount of a target dilute sulfuric acid aqueous solution; performing first spraying according to a preset spraying track, performing multi-point soil pH value detection to obtain a detection result, and correcting the preset spraying track to obtain a second spraying track; spraying is conducted based on the second spraying track, the spraying track is corrected according to the spraying result, a third spraying track is obtained, dilute sulfuric acid aqueous solution spraying continues to be conducted on the target grassland soil according to the third spraying track, and progressive regulation and control are completed. The problems that in the prior art, the soil pH value regulation and control precision is low, and spraying solution distribution is uneven are solved, and the technical effects that the soil pH value is precisely regulated, and it is ensured that the solution is evenly sprayed to a target area are achieved.

Description

Technical Field

[0001] The invention relates to the technical field of soil improvement, and in particular to a progressive soil pH control method and system using a dilute sulfuric acid solution. Background Art

[0002] In agriculture and ecological management, soil pH is regulated by uniformly applying acid-base regulators. However, due to the lack of full consideration of the soil's own buffering capacity and local pH distribution differences, the regulation results are often difficult to accurately match the target pH range. At the same time, the spraying process lacks a dynamic optimization mechanism based on soil detection feedback, and the spraying trajectory and dosage control are unreasonable, which can easily lead to uneven distribution of the regulating solution in different areas, resulting in local imbalances due to excessive or insufficient pH regulation, affecting the consistency of plant growth and the overall stability of the soil environment. Summary of the invention

[0003] The present application provides a progressive soil pH control method and system using a dilute sulfuric acid solution, which is used to solve the technical problems of low soil pH control accuracy and uneven distribution of spraying solution in the prior art.

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

[0005] In a first aspect of the present application, a progressive soil pH control method using a dilute sulfuric acid solution is provided, the method comprising:

[0006] The target grassland soil in the target grassland is randomly sampled at multiple points, the soil buffer coefficient is tested on the obtained soil sample set, the soil sample solution addition volume set obtained by the test is updated and iteratively screened with the mode as the initial screening sample, the soil buffer coefficient is determined according to the screening result, and the target soil buffer coefficient is generated; the initial pH value and the target pH value of the target grassland soil are obtained, and the application amount of the dilute sulfuric acid aqueous solution is analyzed by using the application amount calculation formula in combination with the target soil buffer coefficient to determine the target dilute sulfuric acid aqueous solution application amount; the sprayer is filled with solution according to one third of the target dilute sulfuric acid aqueous solution application amount, and the first spraying is performed according to a preset spraying trajectory. After a preset period, the soil pH value of the target grassland soil is tested at multiple points to obtain the test results, and the preset spraying trajectory is corrected according to the test results to obtain the second spraying trajectory; the target grassland soil is sprayed based on the second spraying trajectory, and the second spraying trajectory is corrected according to the spraying result to obtain the third spraying trajectory, and the dilute sulfuric acid aqueous solution is continued to be sprayed on the target grassland soil according to the third spraying trajectory to progressively control the soil pH.

[0007] In a second aspect of the present application, a progressive soil pH control system using a dilute sulfuric acid solution is provided, the system comprising:

[0008] The sampling test module is used to randomly sample the target grassland soil in the target grassland at multiple points, test the soil buffer coefficient of the obtained soil sample set, update and iterate the added volume set of the soil sample solution obtained by the test with the mode as the initial screening sample, determine the soil buffer coefficient according to the screening result, and generate the target soil buffer coefficient; the application amount analysis module is used to obtain the initial pH value and target pH value of the target grassland soil, and analyze the application amount of dilute sulfuric acid aqueous solution by using the application amount calculation formula in combination with the target soil buffer coefficient to determine the target application amount of dilute sulfuric acid aqueous solution; the spraying trajectory correction module is used to adjust the spraying trajectory according to the target The sprayer is filled with solution of one third of the applied amount of the dilute sulfuric acid aqueous solution, and the first spraying is carried out according to the preset spraying trajectory. After a preset period, the soil pH value of the target grassland soil is tested at multiple points to obtain the test results, and the preset spraying trajectory is corrected according to the test results to obtain the second spraying trajectory; a progressive control module is used to spray the target grassland soil based on the second spraying trajectory, correct the second spraying trajectory according to the spraying result, obtain the third spraying trajectory, and continue to spray the target grassland soil with the dilute sulfuric acid aqueous solution according to the third spraying 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] The present application performs multi-point random soil sampling on the target grassland soil in the target grassland, performs soil buffer coefficient testing on the obtained soil sample set, performs update iterative screening on the soil sample solution addition volume set obtained by the test with the mode as the initial screening sample, determines the soil buffer coefficient according to the screening result, and generates the target soil buffer coefficient; obtains the initial pH value and the target pH value of the target grassland soil, and analyzes the application amount of the dilute sulfuric acid aqueous solution by using the application amount calculation formula in combination with the target soil buffer coefficient to determine the target dilute sulfuric acid aqueous solution application amount; fills the sprayer with solution according to one-third of the target dilute sulfuric acid aqueous solution application amount, performs the first spraying according to the preset spraying trajectory, and after a preset period, performs multi-point soil pH value detection on the target grassland soil to obtain the detection result, and modifies the preset spraying trajectory according to the detection result to obtain the second spraying trajectory; sprays the target grassland soil based on the second spraying trajectory, modifies the second spraying trajectory according to the spraying result to obtain the third spraying trajectory, and continues to spray the target grassland soil with the dilute sulfuric acid aqueous solution according to the third spraying trajectory to progressively control the soil pH. The present invention solves the technical problems of low soil pH control accuracy and uneven distribution of spraying solution in the prior art, and achieves the technical effect of accurately adjusting the soil pH value and ensuring that the solution is evenly sprayed to the target area by combining the soil buffer coefficient, pH value detection and a progressive adjustment method for spraying trajectory optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0012] Figure 1 A schematic flow chart of a progressive soil pH control method using a dilute sulfuric acid solution provided in an embodiment of the present application;

[0013] Figure 2 A schematic diagram of the structure of a progressive soil pH control system using a dilute sulfuric acid solution provided in an embodiment of the present application.

[0014] Explanation of the reference numerals: sampling and testing module 11 , application amount analysis module 12 , spraying trajectory correction module 13 , progressive control module 14 . DETAILED DESCRIPTION

[0015] The present application provides a progressive soil pH control method and system using a dilute sulfuric acid solution, aiming to solve the technical problems of low soil pH control accuracy and uneven distribution of spraying solution in the prior art. By combining the soil buffering coefficient, pH value detection and spraying trajectory optimization, the progressive adjustment method can achieve the technical effect of accurately adjusting the soil pH value and ensuring that the solution is evenly sprayed to the target area.

[0016] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0017] It should be noted that any variations of the terms "include" and "have" are intended to cover non-exclusive inclusions. 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 explicitly listed, but may include other steps or modules that are not explicitly listed or inherent to these processes, methods, products or devices.

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

[0019] Step S100: randomly sampling the target grassland soil in the target grassland at multiple points, testing the soil buffer coefficient of the obtained soil sample set, performing iterative screening on the added volume set of the soil sample solution obtained in the test with the mode as the initial screening sample, determining the soil buffer coefficient based on the screening results, and generating a target soil buffer coefficient.

[0020] In the embodiment of the present application, firstly, multi-point random soil sampling is performed on the target grassland soil in the target grassland, and the multi-point random soil sampling refers to sampling from different positions of the target grassland. Through the random sampling, multiple preset volumes of soil samples are obtained to obtain a soil sample set.

[0021] Next, the soil buffer coefficient test was performed on the soil sample set. In this step, the initial pH value of the soil samples randomly sampled from the target grassland was first measured using a pH meter, and the initial pH value of each sample was recorded. Next, different application amounts of dilute sulfuric acid solution were added to each soil sample in batches, and the pH value of the soil was gradually adjusted. After each addition, the reaction was waited for to be complete, and the pH value of the soil sample was measured again. Repeat this process until the measured pH value reaches the preset target value. The addition process is shown in Table 1.

[0022] Table 1: Soil sample pH adjustment process record

[0023] Sample No. Initial pH Volume of dilute sulfuric acid solution added (mL) pH value after addition Cumulative volume of solution added (mL) Is the target pH 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 the dilute sulfuric acid solution added each time is recorded to obtain a set of soil sample solution addition volumes. Then, a representative soil sample solution addition volume is screened out from the solution addition volume set through a sample screening method. Finally, the soil buffer coefficient is analyzed by combining the concentration of the dilute sulfuric acid solution and the screened representative soil sample solution addition volume to determine the target soil buffer coefficient.

[0025] Furthermore, in the method provided in the embodiment of the application, the target grassland soil in the target grassland is randomly sampled at multiple points, and the soil buffer coefficient of the obtained soil sample set is tested to determine the target soil buffer coefficient, and the method also includes:

[0026] The initial pH value of the soil sample set is measured by a pH meter to obtain a sample initial pH value set, wherein the sample initial pH value corresponds to the soil sample one-to-one; based on the sample initial pH value set, a first concentration of dilute sulfuric acid solution with different application amounts is added to the soil sample set in batches, and the pH value in the soil sample set is measured after each reaction is complete until the measurement result reaches a preset pH value, and the measurement results are summarized to obtain a soil sample solution addition volume set; the soil sample solution addition volume set is sampled and a representative soil sample solution addition volume is determined; and a soil buffer coefficient analysis is performed in combination with the first concentration of the dilute sulfuric acid solution and the representative soil sample solution addition volume to obtain the target soil buffer coefficient.

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

[0028] Next, based on the initial pH value set of the sample, different amounts of a first concentration of dilute sulfuric acid solution, such as 0.1 mol / L (mol / L), are added to each soil sample in batches. A dilute sulfuric acid solution of known concentration will be added to each soil sample, with different amounts of solution added each time. After each addition of the solution, wait for the reaction to be complete, that is, ensure that the soil and solution are fully mixed and the pH value of the soil changes stably. Then use a pH meter to measure the pH value of the soil sample again and record the pH value at this time. For example, assuming that after the first addition of 10 ml of 0.1 mol / L dilute sulfuric acid solution, the soil pH value is measured to be 6.5, and then 20 ml of solution is added, and the pH value is measured to be 6.0, until the soil pH reaches the preset pH value. Among them, the preset pH value is a pre-set pH value to be achieved, set according to demand.

[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] After that, the soil sample solution addition volume set is sampled and screened. In this step, the solution addition volume (mode) with the highest frequency of occurrence is first extracted from the soil sample solution addition volume set as the initial screening sample. Then, according to the preset neighborhood bandwidth, the neighborhood of the sample is constructed, and the sample screening function is used to perform multiple updates to gradually screen out the most representative samples. This updating process continues until the stop constraint is met, and the target screening sample is finally obtained. The soil sample solution addition volume set corresponding to the target screening sample is used as the representative soil sample solution addition volume.

[0031] Finally, the soil buffer coefficient analysis was performed by combining the first concentration of the dilute sulfuric acid solution and the added volume of the representative soil sample solution. Calculate, where represents the soil buffer coefficient, is the number of hydrogen ions added (mol), It is the pH value change, that is, the pH value change of the soil during the acid-base regulation process. is the volume of soil (L). Further, By formula Calculate, where is the concentration of the applied dilute sulfuric acid solution (mol / L), is the volume of the dilute sulfuric acid solution applied. The target soil buffer coefficient is calculated using the above formula.

[0032] Furthermore, in the method provided in the embodiment of the application, the soil sample solution addition volume set is sample screened to determine the representative soil sample solution addition volume, and further includes:

[0033] The mode in the soil sample solution addition volume set is extracted and used as the initial screening sample, and the initial screening sample neighborhood of the initial screening sample is constructed from the soil sample solution addition volume set according to the preset sample neighborhood bandwidth; the initial screening sample is updated in the initial screening sample neighborhood by using the sample screening function to determine the updated screening sample; and so on, the updated screening sample is updated multiple times until the update stop constraint is met to obtain the target screening sample, and the soil sample solution addition volume corresponding to the target screening sample is used as the representative soil sample solution addition volume.

[0034] In the embodiment of the present application, 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 the set is selected as the initial screening sample. Next, the initial screening sample neighborhood is constructed for the initial screening sample according to the preset sample neighborhood bandwidth, and the preset sample neighborhood bandwidth is preset by technical experts. Specifically, the soil sample solution addition volume in the soil sample solution addition volume set whose volume difference with the initial screening sample is less than the preset sample neighborhood bandwidth is added to the initial screening sample neighborhood. Through this process, the construction of the initial screening sample neighborhood is completed.

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

[0036] Next, the updated screening samples are updated multiple times by analogy until the update stop constraint is met, that is, when the maximum number of updates is reached or the change between adjacent updates is less than the preset threshold, the update is stopped, the target screening sample is obtained, and the soil sample solution addition volume corresponding to the target screening sample is used as the representative soil sample solution addition volume. The preset threshold is set by technical experts according to needs.

[0037] Furthermore, the method provided in the application embodiment 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 within the neighborhood of the update screening samples of two adjacent updates is less than or equal to the preset amount of data difference.

[0039] In the embodiment of the present application, there are two types of update stop constraints: one is that the number of updates reaches the preset maximum number of updates, that is, the sample is updated within the specified number of times, and the update is stopped after the number exceeds this number; the other is that the difference in the amount of data in the neighborhood of the two adjacent updated screening samples is less than or equal to the preset data amount difference threshold. That is, when the change range between the screening samples after two adjacent updates is small enough, it indicates that the sample has stabilized and the update process can be stopped.

[0040] Step S200: Obtain the initial pH value and target pH value of the target grassland soil, analyze the application amount of the dilute sulfuric acid aqueous solution using the application amount calculation formula in combination with the target soil buffer coefficient, and determine the target application amount of the dilute sulfuric acid aqueous solution.

[0041] In the embodiment of the present application, the initial pH value and the 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, the target soil buffer coefficient is combined with the preset application amount calculation formula to perform the dilute sulfuric acid aqueous solution application amount analysis to determine the target dilute sulfuric acid aqueous solution application amount.

[0042] Furthermore, in the method provided in the application example, the application amount calculation formula is:

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

[0044] In the examples of the present application, the dosage calculation formula is: ;in, is the target application amount of dilute sulfuric acid aqueous solution, is the target soil buffer coefficient, is the initial pH value, is the target pH value, is the area of ​​the target grassland, which is obtained by measuring the actual area of ​​the target grassland; The effective soil layer thickness of the target grassland soil is preset by technical experts; is the concentration of dilute sulfuric acid aqueous solution, is the molar mass of sulfuric acid.

[0045] Step S300: Fill the sprayer with solution according to one-third of the target application amount of the dilute sulfuric acid aqueous solution, perform the first spraying according to the preset spraying trajectory, and after a preset period, perform multi-point soil pH value detection on the target grassland soil to obtain the detection results, and correct the preset spraying trajectory according to the detection results to obtain the second spraying trajectory.

[0046] In an embodiment of the present application, the dilute sulfuric acid aqueous solution is first filled into the sprayer according to one-third of the target dilute sulfuric acid aqueous solution application amount, and the first spraying is performed according to a pre-set spraying trajectory. After spraying, wait according to a preset period within a predetermined time period to ensure that the soil fully reacts with the dilute sulfuric acid solution, wherein the preset period refers to the time interval for waiting for a certain period of time after spraying the dilute sulfuric acid aqueous solution to ensure that the solution fully reacts with the soil. The setting of this time period is adjusted by technical experts based on factors such as soil type, solution concentration, and environmental conditions (such as temperature and humidity). For example, assuming that in a soil pH adjustment process, the preset period is 24 hours, which means that after spraying is completed, wait for 24 hours to ensure that the soil fully reacts with the dilute sulfuric acid aqueous solution and the pH value changes stably.

[0047] After the waiting period, multi-point soil pH detection is performed. Specifically, the target grassland soil is first gridded according to the preset particle size, and a detection point is randomly extracted in each divided grid. In this way, a detection point set is obtained. Then, these detection point sets are traversed, the pH value of each detection point is measured, and recorded to form a detection point pH value set. Through this process, the pH value change data of the soil at different locations is obtained. Subsequently, based on the detection point pH value set, the divided grid set is bi-dimensionally fused to determine the final fused divided grid set and fused grid pH value set, ensuring that each grid corresponds to its corresponding pH value.

[0048] Based on these test results, the soil pH value changes are further analyzed to decide whether to correct the spraying trajectory. If the pH value of the fused grid pH value set fails to meet the preset target pH value, these unqualified grids are added to the abnormal fused grid set. Then, based on the positions of these abnormal grids, the preset spraying trajectory is adjusted to ensure that the spraying trajectory overlaps 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, in the method provided in the embodiment of the application, the target grassland soil is subjected to multi-point soil pH value detection to obtain the detection result, and further includes:

[0050] According to the preset division granularity, the target grassland soil is grid-divided to obtain a set of division grids, and a detection point is randomly extracted in each division grid to obtain a detection point set; the detection point set is traversed to perform pH value detection to obtain a detection point pH value set; based on the detection point pH value set, the division grid set is bi-dimensionally fused to determine a fused division grid set and a fused grid pH value set, and the fused division grid set and the fused grid pH value set are used as the detection results, and the fused division grids and the fused grid pH values ​​correspond one to one.

[0051] In the embodiment of the present application, the target grassland soil is firstly gridded according to the preset division granularity. The division granularity refers to the size of the soil segmentation. For example, if each grid is selected as 1 square meter, the target grassland will be divided into multiple small areas of 1 square meter. Each divided area is called a division grid. Through this process, a division grid set is obtained. Then, a detection point is randomly selected in each division grid, and these detection points are combined into a detection point set.

[0052] After obtaining the detection point set, a pH meter is used to test the pH value of the soil at each detection point. Through the test, the pH values ​​of multiple detection points are obtained, and these data constitute the detection point pH value set.

[0053] Then, the partitioned grid set is bi-dimensionally fused based on the detection point pH value set. In this process, the two dimensions of the approximation of the detection point pH value and the position approximation of the partitioned grid are used for analysis to identify those partitioned grids with similarity. For the partitioned grids that meet the preset similarity threshold, they are fused to obtain a fused partitioned grid set. Then, according to the detection point pH value set, the pH value mean is calculated for the fused partitioned grid set, and finally a fused grid pH value set is obtained, that is, the pH value corresponding to each fused grid. After completing the bi-dimensional fusion, the obtained fused partitioned grid set and the fused grid pH value set constitute the final detection result. These results reflect the overall pH distribution of the target grassland soil, and each fused grid corresponds to a fused grid pH value.

[0054] Furthermore, in the method provided in the embodiment of the application, the partition grid set is bi-dimensionally fused based on the detection point pH value set to determine the fused partition grid set and the fused grid pH value set, and further includes:

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

[0056] In the embodiment of the present application, firstly, starting from the two dimensions of the approximation of the pH value of the detection point and the approximation of the position of the divided grid, the neighbor similarity recognition is performed on the divided grid set.

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

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

[0059] Once these two similarity values ​​are calculated, the next step is to determine whether to merge the grids based on the preset similarity threshold. For example, if the similarity threshold is set to 0.2, then only when the pH value similarity and position proximity of the two grids meet the threshold, the two grids are considered similar enough to be merged. If one of the similarities is lower than the threshold, the grids will not be merged. In other words, the two similarity conditions must meet the preset threshold at the same time in order to merge the grids and obtain a fused partition grid set.

[0060] Once the grids are fused, the pH value mean of the fused grid set is calculated based on the pH value set of the detection points. That is, the pH value of each fused grid is determined by calculating the mean of all detection points. For example, if there are multiple detection points in the fused grid, and their pH values ​​are 6.0, 6.2, and 6.4, respectively, then the final pH value of the grid is the average of these values, 6.2. Through the aforementioned calculation process, the pH value mean of the fused grid set is calculated based on the pH value set of the detection points, and finally the fused grid pH value set is obtained.

[0061] Furthermore, in the method provided in the embodiment of the application, the preset spraying trajectory is corrected according to the detection result to obtain a second spraying trajectory, and the method also includes:

[0062] Determine whether the fused grid pH value set meets the preset pH value. If not, add the corresponding fused division grid into the abnormal fused division grid set. Based on the position of the abnormal fused division grid in the abnormal fused division grid set, correct the preset spraying trajectory to maximize the number of overlaps between the spraying trajectory and the abnormal fused division grid as the correction target, and obtain the second spraying trajectory.

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

[0064] When the fused grid pH value set all meets the preset first pH value, the preset spraying trajectory continues to be used as the second spraying trajectory.

[0065] In an embodiment of the present application, it is first determined whether the fused grid pH value set meets the preset pH value, that is, whether the pH value of each fused grid meets the predetermined target pH value. The preset pH value is a standard pH value pre-set in the soil regulation scheme according to plant growth requirements and soil properties, which may be a value in 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 to be abnormal grids and added to the abnormal fused division grid set.

[0066] Next, based on the position of the abnormal grid in the abnormal fusion partitioning grid set, the preset spraying trajectory is corrected. The spraying trajectory refers to the originally designed spraying path of the dilute sulfuric acid solution, the purpose of which is to cover different areas on the grass and adjust the pH of the soil. However, since the pH value of some areas did not reach the target, the spraying path needs to be adjusted according to the position of the abnormal fusion partitioning grid. The goal of the correction is to maximize the number of overlaps between the spraying trajectory and the abnormal fusion partitioning grid, ensuring that these areas that did not reach the target pH value can get more solution spraying, thereby improving the effect of pH adjustment. This correction process is carried out through a path optimization algorithm, which calculates the overlap between each spraying trajectory and the abnormal grid, and adjusts the trajectory path so that the spraying solution can cover more abnormal grid areas. For example, assuming that the spraying path is originally far away from some abnormal areas, the path optimization algorithm will replan the path to ensure that these abnormal areas get more solution spraying. In the correction process, spatial analysis techniques, such as geographic information systems, are used to identify the location of abnormal grids and calculate the overlap between the spraying trajectory and these areas. Through GIS, the spatial relationship between the spraying trajectory and the abnormal area is dynamically calculated, so as to optimize the adjustment of the spraying path and ensure more accurate adjustment of the soil pH. Finally, the corrected spraying path is the second spraying trajectory.

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

[0068] Step S400: spraying the target grassland soil based on the second spraying trajectory, correcting the second spraying trajectory according to the spraying result, obtaining the third spraying trajectory, and continuing to spray the target grassland soil with a dilute sulfuric acid aqueous solution according to the third spraying trajectory to progressively control the soil pH.

[0069] In an embodiment of the present application, the target grassland soil is first sprayed according to the second spraying trajectory. After the spraying process is completed, the pH change of the soil is then monitored, and the effect of the spraying is evaluated by multi-point pH measurement. According to the change in the pH value of the soil after spraying, it can be determined which areas of the soil have not yet reached the expected target pH value. The second spraying trajectory is corrected based on the detection results, and the correction process is consistent with the aforementioned trajectory correction method, and the goal is to maximize the number of overlaps between the spraying trajectory and the abnormal fusion division 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 abnormal soil area, so that it covers these abnormal areas more accurately. Finally, through correction, the third spraying trajectory is obtained. In some cases, all grids in the fused grid pH value set after the second spraying have met the preset pH value once, 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 spraying trajectory does not need to be corrected and can be directly used as the third spraying trajectory.

[0070] Finally, the target grassland soil is further sprayed according to the third spraying trajectory to progressively control the soil pH and ensure that the pH value of all areas is stable within the target range. Progressive control is to gradually adjust the soil pH value to the target value through three precise sprayings, avoid excessive application at one time, and ensure that the soil pH gradually approaches the ideal state over multiple cycles.

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

[0072] The present application performs multi-point random soil sampling on the target grassland soil in the target grassland, performs soil buffer coefficient testing on the obtained soil sample set, performs update iterative screening on the soil sample solution addition volume set obtained by the test with the mode as the initial screening sample, determines the soil buffer coefficient according to the screening result, and generates the target soil buffer coefficient; obtains the initial pH value and the target pH value of the target grassland soil, and analyzes the application amount of the dilute sulfuric acid aqueous solution by using the application amount calculation formula in combination with the target soil buffer coefficient to determine the target dilute sulfuric acid aqueous solution application amount; fills the sprayer with solution according to one-third of the target dilute sulfuric acid aqueous solution application amount, performs the first spraying according to the preset spraying trajectory, and after a preset period, performs multi-point soil pH value detection on the target grassland soil to obtain the detection result, and modifies the preset spraying trajectory according to the detection result to obtain the second spraying trajectory; sprays the target grassland soil based on the second spraying trajectory, modifies the second spraying trajectory according to the spraying result to obtain the third spraying trajectory, and continues to spray the target grassland soil with the dilute sulfuric acid aqueous solution according to the third spraying trajectory to progressively control the soil pH. The present invention solves the technical problems of low soil pH control accuracy and uneven distribution of spraying solution in the prior art, and achieves the technical effect of accurately adjusting the soil pH value and ensuring that the solution is evenly sprayed to the target area by combining the soil buffer coefficient, pH value detection and a progressive adjustment method for spraying trajectory optimization.

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

[0074] The sampling test module 11 is used to randomly sample the target grassland soil in the target grassland at multiple points, test the soil buffer coefficient of the obtained soil sample set, update and iterate the added volume set of the soil sample solution obtained by the test with the mode as the initial screening sample, determine the soil buffer coefficient according to the screening result, and generate the target soil buffer coefficient; the application amount analysis module 12 is used to obtain the initial pH value and target pH value of the target grassland soil, combine the target soil buffer coefficient, use the application amount calculation formula to analyze the application amount of the dilute sulfuric acid aqueous solution, and determine the target application amount of the dilute sulfuric acid aqueous solution; the spraying trajectory correction module 13 is used to The sprayer is filled with solution of one third of the target dilute sulfuric acid aqueous solution application amount, and the first spraying is carried out according to the preset spraying trajectory. After a preset period, the target grassland soil is subjected to multi-point soil pH detection to obtain the detection result, and the preset spraying trajectory is corrected according to the detection result to obtain the second spraying trajectory; the progressive control module 14 is used to spray the target grassland soil based on the second spraying trajectory, correct the second spraying trajectory according to the spraying result, obtain the third spraying trajectory, and continue to spray the target grassland soil with the dilute sulfuric acid aqueous solution according to the third spraying trajectory to perform progressive control on the soil pH.

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

[0076] According to the preset division granularity, the target grassland soil is grid-divided to obtain a set of division grids, and a detection point is randomly extracted in each division grid to obtain a detection point set; the detection point set is traversed to perform pH value detection to obtain a detection point pH value set; based on the detection point pH value set, the division grid set is bi-dimensionally fused to determine a fused division grid set and a fused grid pH value set, and the fused division grid set and the fused grid pH value set are used as the detection results, and the fused division grids and the fused grid pH values ​​correspond one to one.

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

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

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

[0080] Determine whether the fused grid pH value set meets the preset pH value. If not, add the corresponding fused division grid into the abnormal fused division grid set. Based on the position of the abnormal fused division grid in the abnormal fused division grid set, correct the preset spraying trajectory to maximize the number of overlaps between the spraying trajectory and the abnormal fused division grid as the correction target, and obtain the second spraying trajectory.

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

[0082] When the fused grid pH value set all meets the preset first pH value, the preset spraying trajectory continues to be used as the second spraying trajectory.

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

[0084] The application rate calculation formula is:

[0085] ;in, is the target application amount of dilute sulfuric acid aqueous solution, is the target soil buffer coefficient, is the initial pH value, is the target pH value, is the area of ​​the target grassland, is the effective soil layer thickness of the target grassland soil, is the concentration of 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 the soil sample set is measured by a pH meter to obtain a sample initial pH value set, wherein the sample initial pH value corresponds to the soil sample one-to-one; based on the sample initial pH value set, a first concentration of dilute sulfuric acid solution with different application amounts is added to the soil sample set in batches, and the pH value in the soil sample set is measured after each reaction is complete until the measurement result reaches a preset pH value, and the measurement results are summarized to obtain a soil sample solution addition volume set; the soil sample solution addition volume set is sampled and a representative soil sample solution addition volume is determined; and a soil buffer coefficient analysis is performed in combination with the first concentration of the dilute sulfuric acid solution and the representative soil sample solution addition volume to obtain the target soil buffer coefficient.

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

[0089] The mode in the soil sample solution addition volume set is extracted and used as the initial screening sample, and the initial screening sample neighborhood of the initial screening sample is constructed from the soil sample solution addition volume set according to the preset sample neighborhood bandwidth; the initial screening sample is updated in the initial screening sample neighborhood by using the sample screening function to determine the updated screening sample; and so on, the updated screening sample is updated multiple times until the update stop constraint is met to obtain the target screening sample, and the soil sample solution addition volume corresponding to the target screening sample is used 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 within the update screening sample neighborhood between two adjacent updates is less than or equal to the preset amount of data difference.

[0092] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order and continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

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

[0094] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A progressive soil pH control method using a dilute sulfuric acid solution, characterized in that: The method comprises: The target grassland soil in the target grassland is randomly sampled at multiple points, the soil buffer coefficient is tested on the obtained soil sample set, the added volume set of the soil sample solution obtained in the test is updated and iteratively screened with the mode as the initial screening sample, the soil buffer coefficient is determined according to the screening results, and the target soil buffer coefficient is generated; Obtain the initial pH value and target pH value of the target grassland soil, combine the target soil buffer coefficient, use the application amount calculation formula to analyze the application amount of the dilute sulfuric acid aqueous solution, and determine the target application amount of the dilute sulfuric acid aqueous solution; Filling the sprayer with solution according to one third of the target dilute sulfuric acid aqueous solution application amount, performing the first spraying according to the preset spraying trajectory, and after a preset period, performing multi-point soil pH value detection on the target grassland soil to obtain the detection results, and correcting the preset spraying trajectory according to the detection results to obtain the second spraying trajectory; The target grassland soil is sprayed based on the second spraying trajectory, and the second spraying trajectory is corrected according to the spraying result to obtain the third spraying trajectory, and the target grassland soil is continued to be sprayed with a dilute sulfuric acid aqueous solution according to the third spraying trajectory to progressively control the soil pH.

2. The progressive soil pH control method using dilute sulfuric acid solution as claimed in claim 1, characterized in that: Conduct multi-point soil pH test on the target grassland soil to obtain test results, including: Dividing the target grassland soil into grids according to a preset division granularity to obtain a set of division grids, and randomly extracting a detection point in each division grid to obtain a set of detection points; Traversing the detection point set to perform pH value detection to obtain a detection point pH value set; Based on the detection point pH value set, the divided grid set is bi-dimensionally fused to determine a fused divided grid set and a fused grid pH value set, and the fused divided grid set and the fused grid pH value set are used as detection results, with the fused divided grids and the fused grid pH values ​​corresponding one to one.

3. The progressive soil pH control method using dilute sulfuric acid solution as claimed in claim 2, characterized in that: Based on the detection point pH value set, the divided grid set is bi-dimensionally fused to determine the fused divided grid set and the fused grid pH value set, including: Performing neighbor similarity recognition on the set of divided grids from two dimensions: the approximation of pH values ​​at the detection points and the approximation of positions of the divided grids, and fusing the divided grids whose recognition results meet a preset similarity threshold to obtain the fused set of divided grids; The pH value mean of the fused divided grid set is calculated based on the detection point pH value set to obtain the fused grid pH value set.

4. The progressive soil pH control method using dilute sulfuric acid solution as claimed in claim 2, characterized in that: The preset spraying trajectory is corrected according to the detection result to obtain a second spraying trajectory, including: Determine whether the fused grid pH value set meets the preset pH value, and if not, add the corresponding fused partitioned grid into the abnormal fused partitioned grid set; Based on the position of the abnormal fusion division grid in the abnormal fusion division grid set, the preset spraying trajectory is corrected to maximize the number of overlaps between the spraying trajectory and the abnormal fusion division grid as a correction target, thereby obtaining the second spraying trajectory.

5. The progressive soil pH control method using dilute sulfuric acid solution as claimed in claim 4, characterized in that: When the fused grid pH value set all meets the preset first pH value, the preset spraying trajectory continues to be used as the second spraying trajectory.

6. The progressive soil pH control method using dilute sulfuric acid solution as claimed in claim 1, characterized in that: The application rate calculation formula is: ； in, is the target application amount of dilute sulfuric acid aqueous solution, is the target soil buffer coefficient, is the initial pH value, is the target pH value, is the area of ​​the target grassland, is the effective soil layer thickness of the target grassland soil, is the concentration of 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 claimed in claim 1, characterized in that: The target grassland soil is randomly sampled at multiple points within the target grassland, and the soil buffer coefficient test is performed on the obtained soil sample set to determine the target soil buffer coefficient, including: Measuring the initial pH values ​​of the soil sample set using a pH meter to obtain a set of initial pH values ​​of the samples, wherein the initial pH values ​​of the samples correspond one to one to the soil samples; Based on the sample initial pH value set, adding different application amounts of a first concentration of dilute sulfuric acid solution to the soil sample set in batches, measuring the pH value in the soil sample set after each reaction is complete, until the measurement result reaches a preset pH value, summarizing the measurement results, and obtaining a soil sample solution addition volume set; Performing sample screening on the soil sample solution addition volume set to determine a representative soil sample solution addition volume; The soil buffer coefficient is analyzed by combining the first concentration of the dilute sulfuric acid solution and the added volume of the representative soil sample solution to obtain the target soil buffer coefficient.

8. The progressive soil pH control method using dilute sulfuric acid solution as claimed in claim 7, characterized in that: The soil sample solution addition volume set is sample screened to determine a representative soil sample solution addition volume, including: Extracting the mode in the soil sample solution added volume set and using it as the initial screening sample, and constructing the initial screening sample neighborhood of the initial screening sample from the soil sample solution added volume set according to a preset sample neighborhood bandwidth; Using a sample screening function to update the initial screening sample in the initial screening sample neighborhood, and determine an updated screening sample; Similarly, the updated screening sample is updated multiple times until the update stop constraint is satisfied to obtain a target screening sample, and the soil sample solution addition volume corresponding to the target screening sample is used as the representative soil sample solution addition volume.

9. The progressive soil pH control method using dilute sulfuric acid solution as claimed in claim 8, 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 within the neighborhood of the update screening samples of two adjacent updates is less than or equal to the preset amount of data difference.

10. A progressive soil pH control system using dilute sulfuric acid solution, characterized in that: The system comprises: The sampling test module is used to randomly sample the target grassland soil at 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 soil sample solution obtained by the test with the mode as the initial screening sample, determine the soil buffer coefficient according to the screening results, and generate the target soil buffer coefficient; The application amount analysis module is used to obtain the initial pH value and target pH value of the target grassland soil, and analyze the application amount of the dilute sulfuric acid aqueous solution using the application amount calculation formula in combination with the target soil buffer coefficient to determine the target application amount of the dilute sulfuric acid aqueous solution; A spraying 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 spraying according to the preset spraying trajectory, and after a preset period, perform multi-point soil pH value detection on the target grassland soil to obtain the detection result, and correct the preset spraying trajectory according to the detection result to obtain the second spraying trajectory; The progressive control module is used to spray the target grassland soil based on the second spraying trajectory, correct the second spraying trajectory according to the spraying result, obtain the third spraying trajectory, and continue to spray the target grassland soil with a dilute sulfuric acid aqueous solution according to the third spraying trajectory to progressively control the soil pH.

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