A method and system for water homogeneity sample preparation based on an ultra-high pressure platform

Abstract

The application relates to a water uniformity sample preparation method and system based on an ultrahigh pressure platform, and relates to the technical field of textile material testing, which comprises the following steps: performing a spraying task in response to a preparation task; obtaining a water distribution image; obtaining a unit area region according to unit area division; extracting a unit area gray value in the water distribution image; retrieving a unit area moisture content in a moisture content database; comparing the unit area moisture content with a standard moisture content to obtain a water shortage region; if the water shortage region exists, calculating a moisture content difference value; retrieving a water shortage weight in a water weight database according to the moisture content difference value and a standard ultrahigh pressure value; performing task design according to the water shortage region and the water shortage weight to obtain a supplement task and execute the supplement task; if the water shortage region does not exist, defining the sample as a qualified sample, and executing a preset packaging task. The application has the effect of improving sample reliability.

Description

Technical Field

[0001] This invention relates to the field of textile material testing technology, and in particular to a method and system for preparing water homogeneous samples based on an ultra-high pressure platform. Background Technology

[0002] In the fields of textiles, chemicals, and materials science, the uniformity of moisture content is a core prerequisite for conducting research and testing on samples, such as mechanical property testing, moisture absorption and expansion experiments, quality stability testing, and process parameter verification. Whether the moisture distribution of the sample is uniform and whether the moisture content is accurate directly determines the reliability of experimental data, the accuracy of test results, and the effectiveness of product quality judgment.

[0003] In existing technologies, the process is mainly carried out in an open or semi-open environment under normal pressure. The sample to be tested is placed in an experimental environment under normal pressure, and water is sprayed onto the sample surface using an atmospheric pressure spray device or a handheld nozzle. Alternatively, the entire sample is immersed in an aqueous solution for a certain period of time. After removal, the surface free water is gently wiped off with filter paper to complete the preparation. The ultra-high pressure closed environment can suppress water evaporation, force water to penetrate evenly into the interior of the material, and stabilize the pore structure.

[0004] Regarding the aforementioned technologies, ultra-high pressure closed environments can solve the problems of atmospheric pressure environments being easily affected by air flow, temperature and humidity fluctuations, rapid moisture evaporation, and uneven permeation. However, they still cannot achieve localized detection, quantitative analysis, and precise control of sample moisture content distribution. It is difficult to ensure the uniformity of sample moisture at the distribution level, thus reducing sample reliability. Summary of the Invention

[0005] To improve the reliability of samples, this invention provides a method and system for preparing homogeneous water samples based on an ultra-high pressure platform.

[0006] In a first aspect, the present invention provides a method for preparing water homogeneous samples based on an ultra-high pressure platform, employing the following technical solution: A method for preparing homogeneous water samples based on an ultra-high pressure platform, comprising: In response to a preset preparation task, perform the spraying task; Once the spraying task is completed, acquire the moisture distribution image collected by the infrared sensor; The moisture distribution image is divided into unit area regions based on a preset unit area. The grayscale value per unit area is extracted from the moisture distribution image based on the unit area region. The corresponding unit area moisture content is obtained by retrieving the unit area gray value from the preset moisture content database; By comparing the unit area moisture content with the preset standard moisture content, the unit area moisture content that is less than the standard moisture content is obtained, and the unit area area corresponding to the unit area moisture content that is less than the standard moisture content is defined as the water-deficient area. If water-deficient areas exist, the difference between the unit area moisture content and the standard moisture content is calculated based on the unit area moisture content and the standard moisture content. The corresponding water shortage weight is obtained by retrieving the water content difference and the preset standard ultra-high pressure value from the preset water weight database. The water weight database records the water weight corresponding to different water contents under different pressures. Based on the water-scarce area and the amount of water lost, a supplementary task is designed and executed. If the water-deficient area does not exist, the sample is defined as a qualified sample, and the preset packaging task is performed.

[0007] By adopting the above technical solution, the sample is prevented from being affected by air flow and temperature and humidity fluctuations under ultra-high pressure environment, which would lead to rapid evaporation and uneven permeation. This allows for quantitative analysis and precise control of the sample's water content, thereby improving the sample's reliability.

[0008] Optional, also includes: When the gray value per unit area is within the preset range of free water gray values, the unit area is defined as a free water region. The starting point of the path is extracted from the free water region; The endpoint of the path is extracted based on the water-scarce area; The optimal movement path is obtained by planning the path based on the path's starting point and ending point. The optimal movement path is output as a control command, driving the preset actuator to move along the optimal movement path to complete the supplementary task.

[0009] By adopting the above technical solution, existing free water can be located and used for moisture control, reducing the possibility of subsequent free water removal steps and improving the efficiency of sample preparation.

[0010] Optional, also includes: The number of water-scarce areas is obtained by statistically analyzing the number of water-scarce areas. When the number of water-scarce areas is equal to 1, the optimal movement path is obtained by path planning based on the path start point and path end point. When the number of water-scarce areas is greater than 1, water-scarce areas are combined to obtain a water-scarce area combination. The sum of the water-deficient weights corresponding to all water-deficient areas in the combination of water-deficient areas is calculated, and the sum is defined as the combined water-deficient weight. Obtain the weight of the free water region collected by the weight sensor; The difference between the weight of the free water region and the weight of the preset standard unit area region is calculated, and this difference is defined as the weight of the free water. Based on the comparison of the free water weight with all the combined water shortage weights, the combined water shortage weight with the smallest value that is less than the free water weight and has the smallest difference with the free water weight is obtained. The combination of water shortage regions corresponding to the combined water shortage weight with the smallest value that is less than the free water weight and has the smallest difference with the free water weight is defined as the optimal combination of water shortage regions. The optimal intermediate nodes and the optimal endpoint of the path are extracted based on the optimal combination of water-scarce regions. The movement path is obtained by planning the path starting point, the intermediate nodes of the optimal path, and the endpoint of the optimal path. This movement path is regarded as the optimal movement path and output. The movement path includes the preferred movement path and the defective movement path.

[0011] By adopting the above technical solution, the method of using a single free water to replenish multiple water-deficient areas is used. Based on the actual number and location of the water-deficient areas, the movement path in the replenishment task is rationally planned, thereby improving the efficiency of sample preparation.

[0012] Optional, also includes: Based on the combined water shortage weight, compare all the free water weights to obtain the free water weight with a value not less than the combined water shortage weight. The free water weight with a value not less than the combined water shortage weight is defined as the priority free water weight. The preferred free water region is determined based on the weight of the preferred free water. The starting point of the priority path is extracted based on the priority free water region; The movement path is obtained by planning the path based on the starting point of the priority path, the intermediate nodes of the optimal path, and the ending point of the optimal path. This movement path is defined as the priority movement path. The path distance of the preferred movement path is obtained by performing distance analysis based on the preferred movement path, and this path distance is defined as the preferred path distance. Compare all priority path distances to find the priority path distance with the smallest distance, define this priority path distance as the minimum priority path distance, and consider the priority movement path corresponding to the minimum priority path distance as the optimal movement path and output it.

[0013] By adopting the above technical solution, when multiple free waters that meet the conditions appear, the difference between the distance of the movement path formed by the remaining free waters and the distance of the original movement path is calculated, and the movement path in the supplementary task is rationally planned, thereby improving the efficiency of sample preparation.

[0014] Optional, also includes: The free water weights that are less than the combined water shortage weight are obtained by comparing the combined water shortage weight with all the free water weights. The free water weights that are less than the combined water shortage weight are defined as the defective free water weights. The combined weight of all the free water in the defects is obtained by summing up the total weight of the defects. When the weight of the defect combination is greater than or equal to the weight of the combined water shortage, the defect free water combination is found based on the weight of the defect combination. The defect free water combination is composed of the free water region corresponding to the weight of the free water contained in the weight of the defect combination. The starting point of the defect path is extracted based on the combination of defective free water. The movement path is obtained by planning the path based on the starting point of the defect path, the intermediate nodes of the optimal path, and the ending point of the optimal path. This movement path is defined as the defect movement path. The path distance of the defect movement path is obtained by performing distance analysis based on the defect movement path, and this path distance is defined as the defect path distance. Compare all defect path distances to find the defect path distance with the smallest distance, and define the defect path distance with the smallest distance as the minimum defect path distance; The minimum path distance is obtained by comparing the minimum priority path distance and the minimum defect path distance. The movement path corresponding to the minimum path distance is regarded as the optimal movement path and output.

[0015] By adopting the above technical solution, free water that originally did not meet the requirements can be combined into a combination that does meet the requirements, and the movement path in the supplementation task can be rationally planned according to the free water in the combination, thereby improving the efficiency of sample preparation.

[0016] Optional, also includes: Once the supplementary task is completed, acquire subsequent moisture distribution images collected by the infrared sensor; Subsequent unit area regions are obtained by dividing the subsequent moisture distribution image based on the unit area. The grayscale value per unit area is extracted from the subsequent moisture distribution image based on the subsequent unit area region. When the subsequent unit area gray value is within the range of free water gray value, the preset free water removal scheme is executed.

[0017] By adopting the above technical solution, after obtaining qualified samples, the free water on the samples is removed by blowing air, so that the product meets the preparation standards and the reliability of the samples is improved.

[0018] Optional, also includes: The optimal path is obtained by analyzing the optimal movement path; The corresponding wind pressure value can be found based on the weight of the free water. The path distance of the optimal movement path is obtained by performing distance analysis based on the optimal movement path, and this path distance is defined as the optimal path distance. The blowing angle and blowing width are obtained based on the analysis of the optimal path direction and optimal path distance; An auxiliary wind power plan is developed and implemented based on wind pressure, wind angle, and wind width.

[0019] By adopting the above technical solution, during the execution of supplementary tasks, the movement of free water in other directions is restricted by auxiliary wind power, so that the free water moves on a limited path, thereby improving the efficiency of sample preparation.

[0020] Optional, also includes: The number of optimal movement paths is obtained by finding the optimal movement path; When the number of optimal movement paths is greater than 1, the path convergence degree is obtained by performing convergence analysis on all optimal path directions. When the path convergence is not greater than the preset path convergence threshold, an auxiliary wind force scheme is obtained by planning based on the wind pressure value, blowing angle and blowing width. When the path convergence degree is greater than the path convergence threshold, a set of convergent movement paths is obtained. The set of convergent movement paths includes all optimal movement paths whose path convergence degree is greater than the convergence threshold. The combined wind pressure, combined wind angle, and combined wind width are obtained by calculating parameters based on the set of convergent movement paths. The combined auxiliary wind power scheme is obtained by planning based on the combined wind pressure value, combined wind angle, and combined wind width. Update the auxiliary wind power scheme based on the set of auxiliary wind power schemes and output it.

[0021] By adopting the above technical solution, in the case of multiple movement paths, based on the convergence of movement paths, an auxiliary wind scheme that does not affect the movement of water above all movement paths and can achieve the original purpose can be retrieved, and the original auxiliary wind scheme can be adjusted to improve the efficiency of sample preparation.

[0022] Optional, also includes: The unit area moisture content that is greater than the standard moisture content is found by finding the unit area moisture content, and the unit area moisture content that is greater than the standard moisture content is defined as the supersaturated moisture content. The difference between the supersaturated moisture content and the standard moisture content is calculated and defined as the supersaturation difference. The corresponding free water precipitation scheme is retrieved from the preset free water precipitation scheme database based on the supersaturation difference and then executed.

[0023] By adopting the above technical solution, when the sample moisture content exceeds the requirements, reasonable pressure is applied to precipitate the excess water, and the excess water is removed by blowing air, so that the sample moisture content meets the preparation standard and the reliability of the sample is improved.

[0024] Secondly, this invention provides a water homogeneity sample preparation system based on an ultra-high pressure platform, employing the following technical solution: A water homogeneity sample preparation system based on an ultra-high pressure platform includes: The acquisition module is used to acquire moisture distribution images, free water region weight, and subsequent moisture distribution images. A memory for storing the program of the water homogeneity sample preparation method based on an ultra-high pressure platform as described above; The processor loads and executes programs from memory.

[0025] By adopting the above technical solution, the sample is prevented from being affected by air flow and temperature and humidity fluctuations under ultra-high pressure environment, which would lead to rapid evaporation and uneven permeation. This allows for quantitative analysis and precise control of the sample's water content, thereby improving the sample's reliability.

[0026] In summary, the present invention has at least one of the following beneficial technical effects: 1. Quantitative analysis and precise control of the moisture content of samples improve sample reliability; 2. Using existing free water for moisture control improves the efficiency of sample preparation; 3. Remove excess water when the sample moisture content exceeds the requirements to improve the reliability of the sample. Attached Figure Description

[0027] Figure 1 This is a flowchart of a water homogeneity sample preparation method based on an ultra-high pressure platform in an embodiment of this application.

[0028] Figure 2 This is a structural diagram of a water homogeneity sample preparation system based on an ultra-high pressure platform, as described in an embodiment of this application.

[0029] Figure 3 This is a structural diagram of a water homogeneity sample preparation device based on an ultra-high pressure platform, as described in an embodiment of this application. Detailed Implementation

[0030] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments.

[0031] This invention discloses a method for preparing homogeneous water samples based on an ultra-high pressure platform. (Refer to...) Figure 1 A method for preparing water homogeneous samples based on an ultra-high pressure platform includes: Step 1: In response to the preset preparation task, perform the spraying task.

[0032] The preparation task refers to the work instruction received by the system to prepare the sample to be tested into a sample with uniform moisture content and meeting the standard moisture content under ultra-high pressure platform environment. This instruction is pre-entered into the system by the experimenter. The spraying task refers to the work instruction to apply moisture to the sample surface in an ultra-high pressure closed environment according to the preset spraying volume, spraying range, spraying pressure, and spraying time. After receiving the preparation task, the intelligent drying module performs vacuum drying inside the equipment. The vacuum is completed by a pre-installed vacuum pump. After vacuum drying, an inert gas (such as nitrogen) is injected through an external high-pressure gas source (such as an air compressor unit) to pressurize to the standard ultra-high pressure. Based on the sample parameters provided by the preparation task, the system retrieves the spraying volume, spraying path, and spraying time for the spraying task, and the spraying task is executed by a pre-installed robotic arm.

[0033] like Figure 2 This is a structural diagram of a water homogeneity sample preparation system based on an ultra-high pressure platform.

[0034] like Figure 3 This is a structural diagram of a water homogeneity sample preparation device based on an ultra-high pressure platform.

[0035] Step 2: After the spraying task is completed, acquire the moisture distribution image collected by the infrared sensor.

[0036] The spraying task is considered complete when the image acquired by the infrared sensor remains unchanged after a preset stabilization time, which is set by the experimenter. The moisture distribution image is a two-dimensional grayscale image generated by the infrared sensor to characterize the moisture distribution of the sample. Different areas of moisture content will have different grayscale values ​​acquired by the infrared sensor, and changes in grayscale values ​​within a region can indicate changes in moisture distribution. After the spraying task is completed and the preset stabilization time has elapsed, the infrared sensor is controlled to perform a full-area scan of the sample surface, converting the infrared reflection signal into a digital image and outputting the moisture distribution image.

[0037] Once the spraying task is completed, the sample has fully absorbed the sprayed water, and the moisture distribution image is acquired by the infrared sensor.

[0038] Step 3: Divide the moisture distribution image into unit area regions according to the preset unit area.

[0039] Unit area refers to the area of ​​the basic unit for gridding the moisture distribution image, such as a square grid with a side length of 1 mm, which is pre-input into the system by the experimenter. A unit area region refers to several independent grid regions of the same size that do not overlap, obtained after uniformly dividing the moisture distribution image according to the unit area. The unit area parameter is read, and using this size as a standard, the moisture distribution image is regularly gridded, dividing the entire image into several row-and-column aligned unit area regions.

[0040] Step 4: Extract the gray value per unit area from the moisture distribution image based on the unit area region.

[0041] The grayscale value per unit area refers to the average grayscale value of all pixels within each unit area region. It is calculated by iterating through each unit area pixel by pixel, calculating the arithmetic mean of the grayscale values ​​of all pixels within that region, and using this average value as the grayscale value per unit area.

[0042] Step 5: Retrieve the corresponding unit area moisture content from the preset moisture content database based on the unit area gray value.

[0043] A moisture content database is a database established through experimental calibration that stores the correspondence between grayscale values ​​per unit area and moisture content per unit area. Moisture content per unit area refers to the actual moisture content of a sample within a unit area. By inputting a grayscale value per unit area into the moisture content database, the corresponding moisture content can be retrieved. Researchers measure the grayscale values ​​of samples with the same material, thickness, and color under standard ultra-high pressure conditions on two-dimensional grayscale images at different moisture contents, and input the different moisture contents and their corresponding grayscale values ​​into the system to construct the moisture content database.

[0044] Step 6: Compare the unit area moisture content with the preset standard moisture content to obtain the unit area moisture content that is lower than the standard moisture content, and define the unit area area corresponding to the unit area moisture content that is lower than the standard moisture content as the water-deficient area.

[0045] The standard moisture content refers to the target moisture content that needs to be achieved after sample preparation, which is pre-input into the system by the experimenter. By comparing the moisture content per unit area with the standard moisture content one by one, areas with a moisture content lower than the standard moisture content are screened out, thus identifying water-deficient areas.

[0046] Step 60: If a water-deficient area exists, calculate the difference between the unit area moisture content and the standard moisture content based on the unit area moisture content and the standard moisture content.

[0047] The moisture content difference refers to the difference between the standard moisture content and the moisture content per unit area. Moisture content difference = Standard moisture content - Moisture content per unit area.

[0048] If a water-deficient area exists, it means that the water-deficient area needs to be replenished with water to the standard moisture content. Therefore, the difference between the moisture content per unit area and the standard moisture content is calculated based on the moisture content per unit area and the standard moisture content.

[0049] Step 61: Based on the moisture content difference and the preset standard ultra-high pressure value, retrieve the corresponding water shortage weight from the preset moisture weight database. The moisture weight database records the moisture weight corresponding to different moisture contents under different pressures.

[0050] The standard ultra-high pressure value refers to the ultra-high pressure parameter set and maintained constant during sample preparation. The moisture weight database records the moisture weight corresponding to different moisture content differences under different ultra-high pressures. Researchers record the moisture weight of samples at different moisture contents under different ultra-high pressure environments, and input these three values ​​into the system to construct the moisture weight database. The water-deficient weight refers to the weight of water that needs to be added to the water-deficient area to reach the standard moisture content. By inputting the moisture content difference and the standard ultra-high pressure value into the moisture weight database, the system retrieves the moisture weight of the sample at the standard ultra-high pressure value when the moisture content is equal to the moisture content difference; this retrieved moisture weight is the water-deficient weight.

[0051] Step 62: Design and execute supplementary tasks based on the water-scarce area and the weight of the water shortage.

[0052] A replenishment task refers to an execution plan designed to precisely replenish water to a water-deficient area, based on the location, weight, and distribution of free water. The replenishment task is a standard template requiring only two parameters: the water-deficient area and the weight of the water shortage. Once these parameters are entered, a plan is automatically generated. A pre-installed nozzle array is moved to the water-deficient location by a robotic arm and sprays the corresponding amount of water, completing the replenishment task. If no free water is present, the robotic arm moves the nozzle array above the water-deficient area and sprays water equal to the weight of the water shortage, completing the replenishment task. If free water is present, a pre-set blowing device blows the free water into the water-deficient area along the moving path, completing the replenishment task.

[0053] Step 63: If the water-deficient area does not exist, define the sample as a qualified sample and execute the preset packaging task.

[0054] The packaging task involves sealing, fixing, and protecting qualified samples to prevent moisture evaporation or contamination, and maintaining stable moisture content. This subsequent processing procedure is pre-programmed into the system by the experimenter and executed by a packaging robotic arm pre-installed within the equipment.

[0055] If no water-deficient area exists, it indicates that the sample has a uniform moisture distribution and the moisture content meets the standard. Therefore, the sample is defined as a qualified sample, and the preset packaging task is performed.

[0056] This also includes: Step 620: When the gray value per unit area is within the preset range of free water gray values, define the unit area as a free water region.

[0057] Researchers dropped water droplets onto a sample under a specified ultra-high pressure environment, obtained the grayscale value range when water droplets were present, and input it into the system to obtain the free water grayscale value range. The free water region refers to the unit area of ​​the surface where there is free water that can be transferred and utilized.

[0058] When the gray value per unit area is within the preset range of free water gray value, there is free water on the sample surface that can be transferred and utilized, and this unit area is defined as the free water region.

[0059] Step 621: Extract the starting point of the path based on the free water region.

[0060] The path start point refers to the initial position of the movement path of the actuator for transferring free water. A coordinate system is established with the bottom edge of the sample as the horizontal axis and the left side as the vertical axis. The center coordinates of the free water region in the coordinate system are extracted and considered as the path start point.

[0061] Step 622: Extract the path endpoint based on the water-scarce area.

[0062] The path endpoint refers to the ending position of the movement path of the actuator blowing free water. The extraction method here has been described in step 621.

[0063] Step 623: Calculate the optimal movement path based on the starting point and ending point of the path.

[0064] Path planning refers to the process of calculating a reasonable and efficient movement route based on the path's starting point, ending point, and intermediate nodes. The optimal movement path is the path that minimizes the distance. When movement is limited to horizontal movement along the horizontal axis or vertical movement along the vertical axis, the ant colony algorithm is used to generate paths and iteratively converge to find the shortest path based on the starting and ending points. The iteration terminates when the distance of the optimal path no longer decreases. For example, if the path starts at (2,2) and ends at (3,4), the optimal movement path would be to first move 1 unit to the right along the horizontal axis, and then move 2 units upwards along the vertical axis.

[0065] Step 624: Output the optimal movement path as a control command to drive the preset actuator to move along the optimal movement path to complete the supplementary task.

[0066] Control commands are digital signals or data instructions generated by the system to drive actuators to perform actions such as movement and air blowing along the optimal path. An actuator is a mechanical device used to perform supplementary tasks. The optimal path is converted into a coordinate sequence and action commands, which are then output to the actuator, driving it to move along the path to complete the transfer of free water and replenishment of water in water-scarce areas.

[0067] This also includes: Step 6230: Count the number of water-scarce areas to obtain the total number of water-scarce areas.

[0068] The number of water-deficient areas refers to the total number of water-deficient areas on the sample surface. This is determined by iterating through all marked water-deficient areas, counting each one individually, and then calculating the total number of water-deficient areas.

[0069] Step 6231: When the number of water-scarce areas is equal to 1, the optimal movement path is obtained by path planning based on the path start point and path end point.

[0070] When the number of water-scarce areas is equal to 1, only one-to-one water replenishment is needed. No additional route planning is required. The optimal movement path is obtained by route planning based on the starting point and the ending point of the route.

[0071] Step 6232: When the number of water-scarce areas is greater than 1, combine the water-scarce areas to obtain a water-scarce area combination.

[0072] Water-scarce region combination refers to grouping multiple independent water-scarce regions into several sets of regions by arranging them in different ways. Using a power set generation algorithm, all water-scarce regions are permuted and combined to generate various different combinations, each containing several water-scarce regions. For example, if there are three water-scarce regions, 1, 2, and 3, the power set generation algorithm can combine them into seven sets: {1}, {2}, {3}, {1, 2}, {1, 3}, {2, 3}, and {1, 2, 3}.

[0073] When the number of water-scarce areas is greater than 1, there is a situation where one free water source can replenish multiple water-scarce areas. The combination of water-scarce areas is obtained by combining the water-scarce areas.

[0074] Step 6233: Calculate the total water shortage weight corresponding to all water shortage areas in the water shortage area combination, and define the total value as the combined water shortage weight.

[0075] The total value refers to the sum of the weights of all defective free water. By adding up the weights of water shortages in all water-deficient areas within the assembly, the total weight of water that needs to be replenished for the assembly is obtained, which is the combined water shortage weight.

[0076] Step 6234: Obtain the weight of the free water region collected by the weight sensor.

[0077] A weight sensor is a detection element installed inside an ultra-high pressure platform to collect the total weight of a unit area in real time. The weight of the free water area refers to the total measured weight of a unit area, including free water, collected by the weight sensor. The weight sensor is used to collect the weight of the marked free water area, obtaining the real-time total weight of that area; this real-time total weight is the weight of the free water area.

[0078] Step 6235: Calculate the difference between the weight of the free water region and the weight of the preset standard unit area region, and define the difference as the weight of the free water.

[0079] The standard unit area weight refers to the weight of a unit area of ​​a sample under standard ultra-high pressure conditions, provided the sample moisture content meets the standard. Free water weight = Free water area weight - Standard unit area weight.

[0080] Step 6236: Based on the free water weight, compare all the combined water shortage weights to obtain the combined water shortage weight with the smallest difference between the free water weight and the free water weight. Define the water shortage region combination corresponding to the combined water shortage weight with the smallest difference between the free water weight and the free water weight as the optimal water shortage region combination.

[0081] The weight of free water is compared with the weight of all combinations of water shortage one by one. The combination of water shortage weight that is less than the weight of free water and has the smallest difference with the weight of free water is selected, and the combination of water shortage area corresponding to the combination is determined as the optimal combination of water shortage area.

[0082] Step 6237: Extract the intermediate nodes and the endpoint of the optimal path based on the optimal combination of water-scarce regions.

[0083] The intermediate nodes of the optimal path refer to the coordinates of each water-scarce region that must be traversed sequentially in the optimal combination of water-scarce regions, excluding the endpoint of the optimal path. The endpoint of the optimal path refers to the coordinates of the last water-scarce region in the optimal combination of water-scarce regions to receive water replenishment. The extraction method here was described in step 621.

[0084] Step 6238: Calculate the movement path based on the starting point, intermediate nodes of the optimal path, and the ending point of the optimal path. Consider this movement path as the optimal movement path and output it. The movement path includes the preferred movement path and the defective movement path.

[0085] A movement path refers to the route taken by free water from a free water region to a water-deficient region. A priority movement path is one that starts from a single free water region with sufficient water volume and can satisfy the combined water-deficient weight in one go. A defective movement path is one where a single free water region is insufficient, requiring multiple free water regions to supply water. When movement is limited to horizontal movement along the horizontal axis or vertical movement along the vertical axis, the shortest movement path is obtained through ant colony optimization (ACO) based on the path start point, the optimal intermediate node, and the optimal path end point. The iteration terminates when the path distance of the optimal path no longer decreases. For example, with a path start point (2,2), an optimal intermediate node (3,4), and an optimal path end point (5,5), the optimal movement path is to first move 1 unit to the right along the horizontal axis, then move 2 units upwards along the vertical axis, then move 2 units to the right along the horizontal axis, and finally move 1 unit upwards along the vertical axis.

[0086] This also includes: Step 62380: Based on the combined water shortage weight, compare all the free water weights to obtain the free water weight with a value not less than the combined water shortage weight, and define the free water weight with a value not less than the combined water shortage weight as the priority free water weight.

[0087] The combined water-deficient weight is compared with the weight of all free water, and the free water weight that is greater than or equal to the combined water-deficient weight is selected and marked as the priority free water weight.

[0088] Step 62381: Locate the preferred free water region based on the preferred free water weight.

[0089] A priority free water region refers to a region with a priority free water weight that can serve as a priority water supply starting point. The corresponding free water region can be retrieved directly based on its priority free water weight; this region is the priority free water region.

[0090] Step 62382: Extract the starting point of the priority path based on the priority free water region.

[0091] The preferred path start point refers to the center coordinates of the preferred free water region, which is the starting position of the preferred movement path. The extraction method here was described in step 621.

[0092] Step 62383: Calculate the movement path based on the starting point of the priority path, the intermediate nodes of the optimal path, and the ending point of the optimal path, and define the movement path as the priority movement path.

[0093] The path planning method here was described in step 6238.

[0094] Step 62384: Perform distance analysis based on the preferred movement path to obtain the path distance of the preferred movement path, and define the path distance as the preferred path distance.

[0095] The total distance of the entire path is calculated by summing the lengths of each segment of the preferred path. This is the preferred path distance. For example, if the preferred path starts at (2,2), the intermediate node of the optimal path is (3,4), and the optimal path ends at (5,5), the preferred path would first move 1 unit to the right along the horizontal axis, then move 2 units upwards along the vertical axis, then move 2 units to the right along the horizontal axis, and finally move 1 unit upwards along the vertical axis, for a total path distance of 6 units.

[0096] Step 62385: Compare all priority path distances to find the priority path distance with the smallest distance, define this priority path distance as the minimum priority path distance, and consider the priority movement path corresponding to the minimum priority path distance as the optimal movement path and output it.

[0097] Iterate through all preferred movement paths and their distances, select the shortest path as the optimal movement path, and output it to the execution mechanism.

[0098] This also includes: Step 62386: Based on the combined water shortage weight, compare all the free water weights to obtain the free water weights with values ​​less than the combined water shortage weight, and define the free water weights with values ​​less than the combined water shortage weight as the defective free water weights.

[0099] By comparing the combined water shortage weight with the weight of each free water, the free water weight that is less than the combined water shortage weight is selected and marked as the defective free water weight.

[0100] Step 62387: Combine and sum the weights of all defective free water to obtain the combined defect weight.

[0101] Defect combination weight refers to grouping multiple independent defect free water weights into several sets of defect free water weights by arranging them in different ways. Various combinations of defect free water weights are generated, with each combination containing several defect free water weights.

[0102] Step 62388: When the weight of the defect combination is greater than or equal to the weight of the combined water shortage, the defect free water combination is found based on the weight of the defect combination. The defect free water combination is composed of the free water region corresponding to the weight of the free water contained in the weight of the defect combination.

[0103] A defective free water assemblage refers to a set of regions composed of multiple defective free water areas, whose total water volume can meet the weight requirement of the assemblage's water shortage. When the weight of the defective assemblage is greater than or equal to the weight of the assemblage's water shortage, multiple defective free water areas are matched according to the weight of the defective assemblage to form a defective free water assemblage.

[0104] When the weight of the defective combination is greater than or equal to the weight of the combined water shortage, there exists a defective combination weight that can replenish the combined water shortage weight. The defective free water combination can be found based on the defective combination weight.

[0105] Step 62389: Extract the starting point of the defect path based on the defect free water combination.

[0106] The defect path start point refers to the starting position of the defect movement path. The extraction method here was described in step 621.

[0107] Step 62390: Based on the starting point of the defect path, the intermediate nodes of the optimal path, and the ending point of the optimal path, a path is planned to obtain a moving path, which is then defined as the defect moving path.

[0108] The path planning here was described in step 6238 of the method. For example, if the defect path starts at point 1 (1,1), the defect path starts at point 2 (2,2), the optimal path intermediate node is (1,2), and the optimal path end point is (1,3), the free water weight at defect path start point 1 is 2, the free water weight at defect path start point 2 is 3, the water shortage weight at the optimal path intermediate node is 3, and the water shortage weight at the optimal path end point is 2, then the defect movement path is that the free water at defect path start point 1 first moves upward along the vertical axis by 1 unit, then the free water at defect path start point 2 moves to the left along the horizontal axis by 1 unit, and finally the free water originally at defect path start point 2 moves upward along the vertical axis by 1 unit.

[0109] Step 62391: Perform distance analysis based on the defect movement path to obtain the path distance of the defect movement path, and define the path distance as the defect path distance.

[0110] The distance analysis here was described in step 62384.

[0111] Step 62392: Compare all defect path distances to find the defect path distance with the smallest distance, and define the defect path distance with the smallest distance as the minimum defect path distance.

[0112] Iterate through all defect path distances and select the shortest path as the minimum defect movement distance.

[0113] Step 62393: Compare the minimum priority path distance and the minimum defect path distance to obtain the minimum path distance. The movement path corresponding to the minimum path distance is regarded as the optimal movement path and output.

[0114] The minimum path distance is the path distance smaller than the minimum priority path distance and the minimum defect path distance. The minimum priority path distance and the minimum defect path distance are compared, and the smaller value is taken as the final optimal path and output.

[0115] This also includes: Step 62394: After the supplementary task is completed, acquire the subsequent moisture distribution image collected by the infrared sensor.

[0116] Subsequent moisture distribution images refer to moisture distribution images acquired again by the infrared sensor after the supplementary task is completed. The method for obtaining these images was described in step 2.

[0117] Once the replenishment task is completed, the water in the water-scarce area will be replenished. Excess free water needs to be removed, and subsequent water distribution images collected by the infrared sensor will be obtained.

[0118] Step 62395: Divide the subsequent moisture distribution image into subsequent unit area regions based on the unit area.

[0119] Subsequent unit area regions refer to the gridded regions obtained by dividing subsequent moisture distribution images into the same unit area. The method for this division was described in step 3.

[0120] Step 62396: Extract the gray value of the subsequent unit area from the subsequent moisture distribution image based on the subsequent unit area region.

[0121] The subsequent unit area grayscale value refers to the average grayscale value of each subsequent unit area region after the supplementary task is completed. The extraction method here was introduced in step 4.

[0122] Step 62397: When the subsequent unit area gray value is within the range of free water gray value, execute the preset free water removal scheme.

[0123] The free water removal protocol refers to a standardized procedure for removing residual free water from the sample surface through purging to ensure acceptable moisture content. A pre-set blowing device purges the sample surface with a predetermined airflow force until the subsequent grayscale value per unit area falls outside the range for free water, at which point the blowing stops. The airflow force is obtained by researchers conducting experiments under identical conditions, applying different airflow forces to the samples to remove free water, and inputting the results into the system.

[0124] When the subsequent unit area gray value is within the range of free water gray value, there is excess free water on the sample surface, and a free water removal procedure is executed.

[0125] This also includes: Step 62398: Analyze the optimal movement path to obtain the optimal path direction.

[0126] The optimal path orientation refers to the overall directional trend of the optimal movement path. The optimal path orientation is obtained by fitting the directions of the starting point, intermediate nodes, and ending point of the optimal movement path using the vector direction averaging method.

[0127] Step 62399: Find the corresponding wind pressure value based on the weight of the free water.

[0128] The wind pressure value refers to the output wind pressure of the blowing device. The corresponding wind pressure value is retrieved by inputting the weight of free water into a preset wind pressure value database; for example, when the weight of free water is 3 mg, the wind pressure value is 5 kPa. Researchers blew different weights of free water under the same conditions to obtain the minimum wind pressure value required to agitate the free water. The wind pressure value database is constructed by inputting the free water weight and wind pressure value into the system in a one-to-one correspondence.

[0129] Step 62400: Perform distance analysis based on the optimal movement path to obtain the path distance of the optimal movement path, and define this path distance as the optimal path distance.

[0130] The distance analysis here was described in step 62384.

[0131] Step 62401: Analyze the optimal path direction and optimal path distance to obtain the blowing angle and blowing width.

[0132] The blowing angle refers to the direction of airflow from the nozzle of the blowing device. The blowing width refers to the coverage area of ​​the nozzle. The optimal path direction, optimal path distance, and free water weight are input into a preset angle and width database to retrieve the corresponding blowing angle and width. For example, when the optimal path direction is 0° and the optimal path distance is 7.5mm, the blowing angle is 0° and the blowing width is 1.25mm. Researchers assisted in blowing air onto the same weight of free water moving along different optimal path directions and distances to obtain the optimal blowing angle and width for a given weight of free water. The free water weight, optimal path direction, optimal path distance, blowing angle, and blowing width are then input into the system to construct the angle and width database.

[0133] Step 62402: Based on the wind pressure value, wind angle, and wind width, plan and execute the auxiliary wind power scheme.

[0134] The assisted wind power scheme refers to a control scheme that uses directional wind power to assist free water in moving along an optimal path and preventing diffusion. Wind pressure, outlet angle, and outlet width are converted into digital control quantities, and the blowing sequence and duration are added to form a complete wind power control command. This command is sent to the blowing device via a bus or communication port to control the nozzles to perform directional blowing at the set wind pressure, blowing angle, and blowing width.

[0135] This also includes: Step 62403: Find the number of optimal movement paths based on the optimal movement path.

[0136] The number of optimal movement paths refers to the total number of optimal movement paths. The number of optimal movement paths is obtained by counting the total number of optimal movement paths generated by the statistical system.

[0137] Step 62404: When the number of optimal movement paths is greater than 1, perform a convergence analysis based on all optimal path directions to obtain the path convergence degree.

[0138] Path convergence refers to the degree of similarity among multiple optimal movement paths in terms of direction, angle, and orientation. A higher value indicates a more consistent direction. Path convergence is calculated using the direction cosine similarity algorithm. Specifically, each movement path is converted into a corresponding two-dimensional direction vector. For any two paths, their two-dimensional direction vectors are taken, and their direction cosine values ​​are calculated. The closer the direction cosine value is to 1, the more consistent the directions of the two paths are, and the stronger the convergence; the closer the direction cosine value is to 0, the greater the difference in direction and the weaker the convergence.

[0139] When the number of optimal movement paths is greater than 1, it indicates that there are multiple optimal movement paths and there may be a combined auxiliary wind scheme. Then, the path convergence degree is obtained by performing a convergence analysis based on the direction of all optimal paths.

[0140] Step 62405: When the path convergence is not greater than the preset path convergence threshold, an auxiliary wind force scheme is planned based on the wind pressure value, wind angle and wind width.

[0141] The path convergence threshold is the dividing line for determining whether to plan a collective auxiliary wind power scheme.

[0142] When the path convergence is not greater than the preset path convergence threshold, there is no need to plan an auxiliary wind force scheme. The auxiliary wind force scheme is obtained by planning based on the wind pressure value, wind angle and wind width.

[0143] Step 62406: When the path convergence degree is greater than the path convergence threshold, a set of convergent movement paths is obtained. The set of convergent movement paths includes all optimal movement paths whose path convergence degree is greater than the convergence threshold.

[0144] A convergent movement path set refers to a set of multiple optimal movement paths whose path convergence exceeds a threshold and whose directions are highly consistent.

[0145] When the path convergence is greater than the path convergence threshold, it is necessary to plan a set of auxiliary wind schemes to obtain a set of convergent movement paths.

[0146] Step 62407: Calculate the combined wind pressure, combined blowing angle, and combined blowing width based on the set of convergent movement paths.

[0147] The ensemble wind pressure value refers to the optimal wind pressure value corresponding to the optimal movement path within the set of converging movement paths. The ensemble blowing angle refers to the optimal blowing angle corresponding to the optimal movement path within the set of converging movement paths. The ensemble blowing width refers to the optimal blowing width corresponding to the optimal movement path within the set of converging movement paths. By inputting the wind pressure values, blowing angles, and blowing widths corresponding to all optimal movement paths within a pre-defined database of converging movement path parameters, the corresponding ensemble wind pressure values, ensemble blowing angles, and ensemble blowing widths are retrieved. Experimenters conduct actual blowing experiments on different combinations of movement paths with the same degree of convergence, obtaining ensemble wind pressure values, ensemble blowing angles, and ensemble blowing widths that can be used uniformly and do not affect the free water flow along the original optimal movement paths. The wind pressure values, blowing angles, blowing widths, ensemble wind pressure values, ensemble blowing angles, and ensemble blowing widths involved in the experiments are then input into the system to construct the database of converging movement path parameters.

[0148] Step 62408: Based on the combined wind pressure value, combined wind angle, and combined wind width, a combined auxiliary wind scheme is planned to obtain the combined wind power scheme.

[0149] A ensemble-assisted wind scheme refers to an auxiliary wind scheme that is uniformly executed for multiple paths with converging directions. The planning method here was introduced in step 62402.

[0150] Step 62409: Update the auxiliary wind scheme based on the aggregate auxiliary wind scheme and output it.

[0151] The system will aggregate the auxiliary wind power schemes to cover the auxiliary wind power schemes.

[0152] This also includes: Step 625: Find the unit area moisture content that is greater than the standard moisture content based on the unit area moisture content, and define the unit area moisture content that is greater than the standard moisture content as the supersaturated moisture content.

[0153] Compare the moisture content per unit area with the standard moisture content, and mark the moisture content per unit area that is higher than the standard moisture content as the supersaturated moisture content.

[0154] Step 626: Calculate the difference in moisture content based on the supersaturated moisture content and the standard moisture content, and define this difference as the supersaturation difference.

[0155] Supersaturation difference = Supersaturated moisture content - Standard moisture content.

[0156] Step 627: Based on the supersaturation difference, find the corresponding free water precipitation scheme in the preset free water precipitation scheme database and execute it.

[0157] The free water precipitation scheme database stores free water precipitation schemes corresponding to different supersaturation differences, specifying the required pressure and time for precipitation. Researchers apply different pressures to samples with varying supersaturation differences under standard ultra-high pressure conditions to determine the minimum pressure and time required for excess water precipitation. These supersaturation differences, applied pressures, and required times are then mapped one-to-one to form free water precipitation schemes, which are input into the system to create the database. A free water precipitation scheme is a method to forcibly precipitate supersaturated water from the interior of a material to its surface. The database is constructed by injecting an inert gas (such as nitrogen) through an external high-pressure gas source (such as an air compressor). When the pressure is increased, the sample matrix is ​​subjected to external pressure, the fiber and microporous structure are compressed, the pore volume is reduced, and a squeezing effect is formed on the internal moisture, causing excess moisture to be released.

[0158] Based on the same inventive concept, embodiments of the present invention provide a water homogeneity sample preparation system based on an ultra-high pressure platform.

[0159] A water homogeneity sample preparation system based on an ultra-high pressure platform includes: The acquisition module is used to acquire moisture distribution images, free water region weight, and subsequent moisture distribution images. A memory for storing a program of a control method for preparing water homogeneous samples based on an ultra-high pressure platform; The processor loads and executes programs from memory.

[0160] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0161] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A method for preparing homogeneous water samples based on an ultra-high pressure platform, characterized in that, include: In response to a preset preparation task, perform the spraying task; Once the spraying task is completed, acquire the moisture distribution image collected by the infrared sensor; The moisture distribution image is divided into unit area regions based on a preset unit area. The grayscale value per unit area is extracted from the moisture distribution image based on the unit area region. The corresponding unit area moisture content is obtained by retrieving the unit area gray value from the preset moisture content database; By comparing the unit area moisture content with the preset standard moisture content, the unit area moisture content that is less than the standard moisture content is obtained, and the unit area area corresponding to the unit area moisture content that is less than the standard moisture content is defined as the water-deficient area. If water-deficient areas exist, the difference between the unit area moisture content and the standard moisture content is calculated based on the unit area moisture content and the standard moisture content. The corresponding water-deficient weight is obtained by retrieving the water content difference and the preset standard ultra-high pressure value from the preset water weight database, which records the water weight corresponding to different water contents under different pressures. Based on the water-scarce area and the amount of water lost, a supplementary task is designed and executed. If the water-deficient area does not exist, the sample is defined as a qualified sample, and the preset packaging task is performed.

2. The method for preparing a water homogeneous sample based on an ultra-high pressure platform according to claim 1, characterized in that, Methods for designing and executing supplementary tasks based on water-scarce areas and water-scarce weights include: When the gray value per unit area is within the preset range of free water gray values, the unit area is defined as a free water region. The starting point of the path is extracted from the free water region; The endpoint of the path is extracted based on the water-scarce area; The optimal movement path is obtained by planning the path based on the path's starting point and ending point. The optimal movement path is output as a control command, driving the preset actuator to move along the optimal movement path to complete the supplementary task.

3. The method for preparing a water homogeneous sample based on an ultra-high pressure platform according to claim 2, characterized in that, Methods for planning and outputting a movement path based on the path's starting and ending points include: The number of water-scarce areas is obtained by statistically analyzing the number of water-scarce areas. When the number of water-scarce areas is equal to 1, the optimal movement path is obtained by path planning based on the path start point and path end point. When the number of water-scarce areas is greater than 1, water-scarce areas are combined to obtain a water-scarce area combination. The sum of the water-deficient weights corresponding to all water-deficient areas in the combination of water-deficient areas is calculated, and the sum is defined as the combined water-deficient weight. Obtain the weight of the free water region collected by the weight sensor; The difference between the weight of the free water region and the weight of the preset standard unit area region is calculated, and this difference is defined as the weight of the free water. Based on the comparison of the free water weight with all the combined water shortage weights, the combined water shortage weight with the smallest value that is less than the free water weight and has the smallest difference with the free water weight is obtained. The combination of water shortage regions corresponding to the combined water shortage weight with the smallest value that is less than the free water weight and has the smallest difference with the free water weight is defined as the optimal combination of water shortage regions. The optimal intermediate nodes and the optimal endpoint of the path are extracted based on the optimal combination of water-scarce regions. The movement path is obtained by planning the path starting point, the intermediate nodes of the optimal path, and the endpoint of the optimal path. This movement path is regarded as the optimal movement path and output. The movement path includes the preferred movement path and the defective movement path.

4. The method for preparing a water homogeneous sample based on an ultra-high pressure platform according to claim 3, characterized in that, Methods for obtaining the optimal movement path based on the path's starting point, intermediate nodes, and ending point include: Based on the combined water shortage weight, compare all the free water weights to obtain the free water weight with a value not less than the combined water shortage weight. The free water weight with a value not less than the combined water shortage weight is defined as the priority free water weight. The preferred free water region is determined based on the weight of the preferred free water. The starting point of the priority path is extracted based on the priority free water region; The movement path is obtained by planning the path based on the starting point of the priority path, the intermediate nodes of the optimal path, and the ending point of the optimal path. This movement path is defined as the priority movement path. The path distance of the preferred movement path is obtained by performing distance analysis based on the preferred movement path, and this path distance is defined as the preferred path distance. Compare all priority path distances to find the priority path distance with the smallest distance, define this priority path distance as the minimum priority path distance, and consider the priority movement path corresponding to the minimum priority path distance as the optimal movement path and output it.

5. The method for preparing a water homogeneous sample based on an ultra-high pressure platform according to claim 4, characterized in that, The method of comparing all priority path distances to obtain the minimum priority path distance, and then considering the priority movement path corresponding to the minimum priority path distance as the optimal movement path and outputting it includes: The free water weights that are less than the combined water shortage weight are obtained by comparing the combined water shortage weight with all the free water weights. The free water weights that are less than the combined water shortage weight are defined as the defective free water weights. The combined weight of all the free water in the defects is obtained by summing up the total weight of the defects. When the weight of the defect combination is greater than or equal to the weight of the combined water shortage, the defect free water combination is found based on the weight of the defect combination. The defect free water combination is composed of the free water region corresponding to the weight of free water included in the weight of the defect combination. The starting point of the defect path is extracted based on the combination of defective free water. The movement path is obtained by planning the path based on the starting point of the defect path, the intermediate nodes of the optimal path, and the ending point of the optimal path. This movement path is defined as the defect movement path. The path distance of the defect movement path is obtained by performing distance analysis based on the defect movement path, and this path distance is defined as the defect path distance. Compare all defect path distances to find the defect path distance with the smallest distance, and define the defect path distance with the smallest distance as the minimum defect path distance; The minimum path distance is obtained by comparing the minimum priority path distance and the minimum defect path distance. The movement path corresponding to the minimum path distance is regarded as the optimal movement path and output.

6. The method for preparing a water homogeneous sample based on an ultra-high pressure platform according to claim 4, characterized in that, Also includes: Once the supplementary task is completed, acquire subsequent moisture distribution images collected by the infrared sensor; Subsequent unit area regions are obtained by dividing the subsequent moisture distribution image based on the unit area. The grayscale value per unit area is extracted from the subsequent moisture distribution image based on the subsequent unit area region. When the subsequent unit area gray value is within the range of free water gray value, the preset free water removal scheme is executed.

7. The method for preparing a water homogeneous sample based on an ultra-high pressure platform according to claim 5, characterized in that, Also includes: The optimal path is obtained by analyzing the optimal movement path; The corresponding wind pressure value can be found based on the weight of the free water. The path distance of the optimal movement path is obtained by performing distance analysis based on the optimal movement path, and this path distance is defined as the optimal path distance. The blowing angle and blowing width are obtained based on the analysis of the optimal path direction and optimal path distance; An auxiliary wind power plan is developed and implemented based on wind pressure, wind angle, and wind width.

8. The method for preparing a water homogeneous sample based on an ultra-high pressure platform according to claim 7, characterized in that, The methods for planning and implementing auxiliary wind power schemes based on wind pressure, wind angle, and wind width include: The number of optimal movement paths is obtained by finding the optimal movement path; When the number of optimal movement paths is greater than 1, the path convergence degree is obtained by performing convergence analysis on all optimal path directions. When the path convergence is not greater than the preset path convergence threshold, an auxiliary wind force scheme is obtained by planning based on the wind pressure value, blowing angle and blowing width. When the path convergence degree is greater than the path convergence threshold, a convergent movement path set is obtained, which includes all optimal movement paths with a path convergence degree greater than the convergence threshold. The combined wind pressure, combined wind angle, and combined wind width are obtained by calculating parameters based on the set of convergent movement paths. The combined auxiliary wind power scheme is obtained by planning based on the combined wind pressure value, combined wind angle, and combined wind width. Update the auxiliary wind power scheme based on the set of auxiliary wind power schemes and output it.

9. The method for preparing a water homogeneous sample based on an ultra-high pressure platform according to claim 2, characterized in that, When the gray value per unit area is within the preset range of free water gray values, the methods for defining the unit area region as a free water region include: The unit area moisture content that is greater than the standard moisture content is found by finding the unit area moisture content, and the unit area moisture content that is greater than the standard moisture content is defined as the supersaturated moisture content. The difference between the supersaturated moisture content and the standard moisture content is calculated and defined as the supersaturation difference. The corresponding free water precipitation scheme is retrieved from the preset free water precipitation scheme database based on the supersaturation difference and then executed.

10. A water homogeneity sample preparation system based on an ultra-high pressure platform, characterized in that, include: The acquisition module is used to acquire moisture distribution images, free water region weight, and subsequent moisture distribution images. A memory for storing the program of the water homogeneity sample preparation method based on an ultra-high pressure platform as described in any one of claims 1 to 9; The processor loads and executes programs from memory.

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