A method, device, equipment and medium for determining planting parameters of vegetation under a photovoltaic panel for sand control

Abstract

The application provides a kind of photovoltaic panel under sand control vegetation planting parameter determination method, device, equipment and medium, comprising: obtaining the building parameter of photovoltaic panel and the environmental parameter of the place where photovoltaic panel is located;According to building parameter and environmental parameter, determine the dust band and precipitation catchment zone between two rows of photovoltaic panels;According to the distance between dust band and precipitation catchment zone, determine the vegetation distribution data arranged between the dust band and precipitation catchment zone;According to the soil index parameter between dust band and precipitation catchment zone, determine the vegetation variety index planted between dust band and precipitation catchment zone;According to vegetation variety index and vegetation distribution data, determine vegetation planting time;According to vegetation distribution data, vegetation variety index and planting time, determine the vegetation planting mode of sand control.This application quantifies the vegetation planting parameter of sand control from the time and space angle, improves the land resource utilization rate and sand control effect of special microclimate under photovoltaic panel.

Description

Technical Field

[0001] This invention relates to the field of desertification control technology under photovoltaic panels, and also to a method for determining the planting parameters of desertification control vegetation under photovoltaic panels. Background Technology

[0002] In recent years, the "photovoltaic + desertification control" model, which combines clean energy production with desertification control, has attracted much attention due to its significant ecological and energy benefits. However, in practical engineering applications, especially after the construction of photovoltaic power stations in desert and Gobi areas, existing vegetation restoration and ecological management models have generally exposed core technical bottlenecks: the lack of scientific vegetation configuration schemes based on the special microclimate under the photovoltaic panels, and the failure to organically combine with the land productivity and vegetation succession laws at different stages from the initial construction to the stable operation period of the photovoltaic power station, resulting in inefficient use of land resources in both time and space and ineffective desertification control in the early stages. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a method for determining the planting parameters of desertification control vegetation under photovoltaic panels, so as to improve the land resource utilization rate and desertification control effect of the special microclimate under photovoltaic panels from the perspectives of time and space.

[0004] To solve the above-mentioned technical problems, the technical solution of the present invention is as follows: A method for determining planting parameters for desertification control vegetation under photovoltaic panels, comprising: Obtain the building parameters of the photovoltaic panels and the environmental parameters of the location where the photovoltaic panels are located; Based on the aforementioned building and environmental parameters, the dust retention zone and rainwater collection zone between the two rows of photovoltaic panels are determined; Based on the distance between the dust retention zone and the precipitation catchment zone, determine the vegetation distribution data between the dust retention zone and the precipitation catchment zone; Based on the soil index parameters between the dust retention zone and the precipitation catchment zone, determine the vegetation species index to be planted between the dust retention zone and the precipitation catchment zone; The planting time for vegetation is determined based on the vegetation variety index and the vegetation distribution data. Based on the vegetation distribution data, the vegetation variety indicators, and the planting time, a vegetation planting pattern for desertification control is determined.

[0005] Optionally, based on the building parameters and environmental parameters, a dust retention zone and a rainwater collection zone are determined between the two rows of photovoltaic panels, including: The width of the dust retention zone and the width of the precipitation collection zone are determined based on the aforementioned environmental parameters; The coordinate parameters of the dust retention zone between the two rows of photovoltaic panels are determined based on the building parameters and the width of the dust retention zone. The coordinate parameters of the rainwater collection zone between the two rows of photovoltaic panels are determined based on the building parameters and the width of the rainwater collection zone.

[0006] Optionally, vegetation distribution data between the dust retention zone and the precipitation catchment zone is determined based on the distance between them, including: Determine the distance between the dust retention zone and the precipitation collection zone; The distance is compared with a preset range, and the species, species distribution, row spacing, plant spacing and planting depth of the vegetation set between the dust retention zone and the precipitation collection zone are determined based on the comparison results. The vegetation distribution data are determined based on the variety, variety distribution, row spacing, plant spacing and planting depth of the vegetation.

[0007] Optionally, based on soil index parameters between the dust retention zone and the precipitation catchment zone, the vegetation species index for planting between the dust retention zone and the precipitation catchment zone is determined, including: The soil index parameters between the dust retention zone and the precipitation collection zone are detected. The soil index parameters include at least soil moisture content, soil pH value, soil organic matter content, soil salinity, and soil thickness. Compare the soil moisture content with the first preset value, and determine the vegetation drought resistance index based on the comparison results; Compare the soil pH value with the second preset value, and determine the vegetation alkali tolerance index based on the comparison results; The soil organic matter content is compared with the third preset value, and the vegetation tolerance index is determined based on the comparison results. Compare the soil salinity with the fourth preset value, and determine the vegetation salt tolerance index based on the comparison results; Compare the soil thickness with the fifth preset value, and determine the vegetation root depth index based on the comparison results; The vegetation variety index is determined based on the vegetation drought resistance index, vegetation alkali resistance index, vegetation barrenness resistance index, vegetation salt resistance index, and vegetation root depth index.

[0008] Optionally, the planting time is determined based on the vegetation variety index and the vegetation distribution data, including: Determine the drought resistance, alkali resistance, barren soil tolerance, salt tolerance, and root depth characteristics of vegetation species. The planting time for vegetation is determined based on the vegetation's drought resistance characteristics, alkali resistance characteristics, barrenness resistance characteristics, salt resistance characteristics, root depth characteristics, drought resistance index, alkali resistance index, barrenness resistance index, salt resistance index, and root depth index.

[0009] Optionally, based on the vegetation distribution data, the vegetation variety index, and the planting time, a vegetation planting pattern for desertification control is determined, including: The weight of the water-retaining material to be laid in the planting holes is determined based on the vegetation variety index. The water-retaining material of the specified weight is laid in advance in the planting holes of the vegetation. Based on the vegetation distribution data and planting time, the vegetation planting pattern for desertification control is determined.

[0010] Optionally, the water-retaining material of the stated weight is pre-laid in the planting holes for vegetation, and the vegetation planting pattern for desertification control is determined based on the vegetation distribution data and planting time, including: The plant species are matched with preset target species, and the plant distribution data and planting time are adjusted according to the matching results. Based on the adjusted vegetation distribution data and planting time, the vegetation planting pattern for desertification control was determined.

[0011] A device for determining planting parameters of desertification control vegetation under photovoltaic panels, comprising: The acquisition module is used to acquire the building parameters of the photovoltaic panels and the environmental parameters of the location where the photovoltaic panels are located; The processing module is used to determine the dust retention zone and precipitation collection zone between two rows of photovoltaic panels based on the building parameters and environmental parameters; determine the vegetation distribution data between the dust retention zone and precipitation collection zone based on the distance between them; determine the vegetation species index between the dust retention zone and precipitation collection zone based on the soil index parameters; determine the vegetation planting time based on the vegetation species index and the vegetation distribution data; and determine the vegetation planting pattern for desertification control based on the vegetation distribution data, the vegetation species index, and the planting time.

[0012] The above-described solution of the present invention has at least the following beneficial effects: The above-described solution of the present invention obtains the building parameters of the photovoltaic panels and the environmental parameters of the location where the photovoltaic panels are located; based on the building parameters and environmental parameters, it determines the dust retention zone and the precipitation collection zone between two rows of photovoltaic panels; based on the distance between the dust retention zone and the precipitation collection zone, it determines the vegetation distribution data between the dust retention zone and the precipitation collection zone; based on the soil index parameters between the dust retention zone and the precipitation collection zone, it determines the vegetation species index for planting between the dust retention zone and the precipitation collection zone; based on the vegetation species index and the vegetation distribution data, it determines the vegetation planting time; and based on the vegetation distribution data, the vegetation species index, and the planting time, it determines the vegetation planting pattern for desertification control. This invention quantifies the vegetation planting parameters for desertification control from both temporal and spatial perspectives, improving the land resource utilization rate and desertification control effect of the special microclimate under the photovoltaic panels. Attached Figure Description

[0013] Figure 1 This is a schematic diagram of an embodiment of the method for determining planting parameters of desertification control vegetation under photovoltaic panels according to the present invention; Figure 2This is a top view of vegetation distribution according to an embodiment of the present invention; Figure 3 This is a side view of vegetation distribution according to an embodiment of the present invention; Figure 4 This is a schematic diagram of the structure of a device for determining planting parameters of desertification control vegetation under photovoltaic panels according to the present invention. Detailed Implementation

[0014] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0015] like Figure 1 As shown, an embodiment of the present invention proposes a method for determining planting parameters for desertification control vegetation under photovoltaic panels, including: Step 11: Obtain the building parameters of the photovoltaic panel and the environmental parameters of the location where the photovoltaic panel is located; Step 12: Based on the building parameters and environmental parameters, determine the dust retention zone and rainwater collection zone between the two rows of photovoltaic panels; Step 13: Determine the vegetation distribution data between the dust retention zone and the precipitation collection zone based on the distance between them; Step 14: Determine the vegetation species index for planting between the dust retention zone and the precipitation collection zone based on the soil index parameters between the dust retention zone and the precipitation collection zone. Step 15: Determine the planting time of vegetation based on the vegetation variety index and the vegetation distribution data; Step 16: Determine the vegetation planting pattern for desertification control based on the vegetation distribution data, the vegetation variety index, and the planting time.

[0016] This embodiment addresses the ecological environment under photovoltaic panels by proposing planting parameters for desertification control vegetation that balance desertification prevention, economic benefits, long-term sustainability, and quantifiability. Specifically, by acquiring building parameters under the photovoltaic panels and environmental parameters of the surrounding environment, the dust retention zone and precipitation catchment zone between every two rows of photovoltaic panels are determined. Then, vegetation distribution data, vegetation species indicators, and planting time are determined. Based on these factors, a desertification control vegetation planting pattern is determined (i.e., determining which vegetation to plant between two rows of photovoltaic panels, the vegetation distribution, and the planting time). This embodiment quantifies desertification control vegetation planting parameters from both temporal and spatial perspectives, improving land resource utilization and desertification control effectiveness in the unique microclimate under photovoltaic panels.

[0017] For step 11, obtain the building parameters of the photovoltaic panel and the environmental parameters of the location where the photovoltaic panel is located.

[0018] In this embodiment, the photovoltaic panels in the photovoltaic field are arranged in multiple rows. The building parameters of each photovoltaic panel include the coordinates of the photovoltaic panel projected vertically to the ground (generally, the photovoltaic panel is rectangular, and the coordinates here refer to the coordinate points of the four photovoltaic panels projected vertically), the distance between two rows of photovoltaic panels, etc. The environmental parameters of the location of the photovoltaic panels include the annual sediment transport, dry density of sand, annual precipitation, etc.

[0019] In some alternative implementations, step 12, determining the dust retention zone and rainwater collection zone between the two rows of photovoltaic panels based on the building parameters and environmental parameters, includes: Step 121: Determine the width of the dust retention zone and the width of the precipitation collection zone based on the environmental parameters; Step 122: Determine the coordinate parameters of the dust retention zone between the two rows of photovoltaic panels based on the building parameters and the width of the dust retention zone; Step 123: Determine the coordinate parameters of the rainwater collection zone between the two rows of photovoltaic panels based on the building parameters and the width of the rainwater collection zone.

[0020] For step 121, according to Determine the width of the dust retention zone, where, Indicates annual sediment transport ( ), Indicates the design protection life (a). Indicates the dry density of sandy soil ( (Generally, 1.5-1.6) This indicates the allowable height of sand accumulation (in meters, typically 0.5-1.0 meters). Indicates the efficiency of vegetation coverage or engineering measures in sand fixation ( ), This indicates the width of the sand-trapping zone (m).

[0021] according to Determine the width of the precipitation catchment zone, where, express, Indicates current collection efficiency (hardened surface) ; soil surface ), Indicates the width of the collector band (m). This represents the annual precipitation (mm) that guarantees the design rate. This indicates the longitudinal length (m) of the collector belt.

[0022] For step 122, taking the center of the distance between the two rows of photovoltaic panels as the origin, take the coordinates of each photovoltaic panel in the first row that are projected vertically onto the ground and are closest to the direction of the second row of photovoltaic panels, to obtain... The coordinates of each photovoltaic panel in the next row, projected vertically onto the ground, that are closest to the coordinates of the previous row of photovoltaic panels, are obtained. Because the photovoltaic panels themselves are tilted, the area between two rows of photovoltaic panels, specifically the back side of the front row (which is the direction from which the back row faces), is generally a dust trap. (Refer to...) Figure 3 The coordinate parameters of the dust retention zone between the two rows of photovoltaic panels were determined as follows: .

[0023] For steps 1, 2, and 3, using the above example, refer to... Figure 3 Between two rows of photovoltaic panels, the area in front of the next row (which is the direction of the previous row) is generally the rainwater runoff collection zone. The coordinate parameters of this rainwater runoff collection zone between the two rows of photovoltaic panels need to be determined. .

[0024] In some alternative implementations, step 13, determining vegetation distribution data between the dust retention zone and the precipitation catchment zone based on the distance between them, includes: Step 131: Determine the distance between the dust retention zone and the precipitation collection zone; Step 132: Compare the distance with the preset range, and determine the species, species distribution, row spacing, plant spacing and planting depth of the vegetation set between the dust retention zone and the precipitation collection zone based on the comparison results; Step 133: Determine vegetation distribution data based on the variety, variety distribution, row spacing, plant spacing and planting depth of the vegetation.

[0025] For step 131, in this embodiment, the distance between the dust-trapping zone and the precipitation-collecting zone is determined based on the coordinate parameters of the dust-trapping zone and the coordinate parameters of the precipitation-collecting zone. Taking the above example again, based on... Determine the distance B between the dust retention zone and the precipitation catchment zone.

[0026] For step 132, according to Determine the first range preset value; according to Determine the preset value for the second range, where, This indicates the vertical height of the lowest point of the photovoltaic panel from the ground. This indicates the first preset range, ensuring that the distance between the dust retention zone and the precipitation collection zone is not less than the shading range of the photovoltaic panel projection, and reserving buffer space for sand clearing and vegetation growth. This represents the second preset range, corresponding to the upper limit of the effective solar radiation range of the photovoltaic panel. Beyond this range, the moisture from the rainwater runoff collection zone is unlikely to reach the dust retention zone. As an example, when the height of the photovoltaic panel... Within the normal range ( When ), substitute the above formula. hour, , , .

[0027] The preset range includes: the distance is less than or equal to a first preset range value, the distance is greater than the first preset range value and less than a second preset range value, and the distance is greater than or equal to a second preset range value.

[0028] 1. When the distance is less than or equal to the preset value of the first range, the dust retention zone and the precipitation collection zone are relatively close, the regional sunlight is weak, the amount of sand accumulation is moderate, and the precipitation supply is relatively concentrated: (1) Plant species: Select perennial herbaceous vegetation that is shade-tolerant, drought-tolerant, and tolerant of light sand accumulation. Priority should be given to Haloxylon ammodendron, Artemisia argyi, or Alternanthera philoxeroides, with a small amount of alfalfa (to improve soil fertility). (2) Variety distribution: A mixed and uniform distribution pattern is adopted, with the planting ratio of Haloxylon ammodendron, Artemisia argyi, Alfalfa and alfalfa being 6:3:1, without obvious zoning, to ensure that the entire area can achieve sand fixation coverage, while utilizing the nitrogen fixation effect of alfalfa to improve the soil. (3) Row spacing: Based on the area width, the row spacing is set to 0.4m, and horizontal planting (parallel to the photovoltaic panel arrangement direction) is adopted to avoid blocking the photovoltaic panel projection and facilitate the cleaning of accumulated sand; (4) Plant spacing: Set the plant spacing to 0.3m to ensure that the vegetation coverage reaches ε≥30% (which fits the range of ε in step 121, taking into account both sand fixation efficiency and vegetation growth space). (5) Planting depth: Based on the dry density of sandy soil r (1.5-1.6t / m³), the planting depth is set at 0.15-0.2m. This avoids the vegetation being blown down by wind and sand due to the shallow depth, and also prevents the roots from absorbing rainwater due to the deep depth (rainwater in the rain collection zone can quickly penetrate to this depth). 2. When the preset range is greater than the first preset range value and less than the second preset range value, the distance between the dust retention zone and the precipitation collection zone is moderate, the area has sufficient sunlight, less sand accumulation, and balanced precipitation supply, making it the optimal planting area. (1) Vegetation varieties: Select drought-resistant, light-loving, and sand-fixing shrubs and herbs. The shrubs are selected from sea buckthorn and sand willow (for long-term sand fixation), and the herbs are selected from sand wormwood, sheep grass or tamarisk (for rapid coverage) to form a sand-fixing system combining trees, shrubs and herbs. (2) Variety distribution: A zoned distribution pattern is adopted. On the side close to the dust retention zone (within 0.5m of the dust retention zone), Artemisia argyi or Haloxylon ammodendron (tolerant of sand accumulation and blocking the spread of wind and sand) are planted. In the middle area (accounting for 60% of the total distance), Hippophae rhamnoides and Salix matsudana are planted (core sand fixation). On the side close to the precipitation collection zone (within 0.5m of the precipitation collection zone), a small amount of Alfalfa or Haloxylon ammodendron is added (utilizing the collected precipitation to improve soil fertility). (3) Row spacing: The row spacing of shrubs is set at 1.0m and the row spacing of herbaceous plants is set at 0.5m. Both are planted longitudinally (perpendicular to the direction of photovoltaic panel arrangement) to ensure the growth space of vegetation without affecting the ventilation and light of photovoltaic panels. (4) Plant spacing: The plant spacing of shrubs is set at 0.8m and the plant spacing of herbaceous plants is set at 0.4m to achieve efficient sand fixation and avoid competition for water and nutrients due to excessive vegetation density; (5) Planting depth: The planting depth of shrubs is 0.3-0.4m (to ensure that the roots are firmly established and resist wind and sand), and the planting depth of herbaceous plants is 0.2m, which is suitable for the permeability of sandy soil and ensures that the water in the rainwater collection zone can be effectively absorbed by the roots.

[0029] 3. When the preset range is greater than or equal to the preset value of the second range, the distance between the dust retention zone and the precipitation collection zone is relatively far, the area has sufficient sunshine and low sand accumulation, but the precipitation supply is scattered, and the side closer to the dust retention zone is prone to drought: (1) Vegetation species: A gradient zoning and matching pattern is adopted. On the side near the dust retention zone, highly drought-resistant species such as Calligonum mongolicum, Artemisia argyi, and Haloxylon ammodendron are selected (adapted to the arid environment and blocking wind and sand). In the middle and on the side near the precipitation collection zone, species such as Hippophae rhamnoides, Alfalfa, and Leymus chinensis are selected (utilizing precipitation to increase coverage). (2) Variety distribution: According to the distance gradient zone, the area within 1.0m of the dust retention zone is planted with sand jujube, sand wormwood and saxaul (ratio 7:3), the middle area (2.0-3.0m) is planted with sea buckthorn and sheep grass (ratio 5:5), and the area within 1.0m of the precipitation collection zone is planted with alfalfa and sea buckthorn (ratio 4:6), so as to achieve a reasonable combination of drought-resistant and water-loving vegetation; (3) Row spacing: The row spacing of drought-resistant vegetation (callop, sagebrush, saxaul) is 0.6m, and the row spacing of other vegetation is 0.5m. The planting pattern of combining longitudinal and transverse (transverse near the dust retention zone and longitudinal near the runoff collection zone) is adopted to optimize the efficiency of light and water use. (4) Plant spacing: Haloxylon ammodendron spacing is 0.8m, Artemisia argyi and Leymus chinensis spacing is 0.4m, Hippophae rhamnoides spacing is 0.7m, and Alfalfa spacing is 0.3m, taking into account both sand fixation effect and water supply capacity. (5) Planting depth: The planting depth of Haloxylon ammodendron is 0.4-0.5m (deep roots absorb groundwater and adapt to drought), the planting depth of Artemisia argyi and Leymus chinensis is 0.2m, and the planting depth of Hippophae rhamnoides and Alfalfa is 0.25m, which are adapted to the root characteristics of different vegetation and improve the survival rate.

[0030] Step 133: Based on the above vegetation varieties, variety distribution, row spacing, plant spacing and planting depth, the vegetation distribution data can be determined.

[0031] In this embodiment, based on the actual engineering experience of desertification control under photovoltaic panels, the division of the preset range ensures the rationality and operability of vegetation parameters, thereby achieving a dual improvement in land resource utilization and desertification control effect under photovoltaic panels.

[0032] In some alternative implementations, step 14, determining vegetation species indices for planting between the dust retention zone and the precipitation catchment zone based on soil index parameters, includes: Step 141: Detect soil index parameters between the dust retention zone and the precipitation collection zone. The soil index parameters include at least soil moisture content, soil pH value, soil organic matter content, soil salinity, and soil thickness. Step 142: Compare the soil moisture content with the first preset value, and determine the vegetation drought resistance index based on the comparison results; Step 143: Compare the soil pH value with the second preset value, and determine the vegetation alkali tolerance index based on the comparison results; Step 144: Compare the soil organic matter content with the third preset value, and determine the vegetation tolerance index based on the comparison results; Step 145: Compare the soil salinity with the fourth preset value, and determine the vegetation salt tolerance index based on the comparison results; Step 146: Compare the soil thickness with the fifth preset value, and determine the vegetation root depth index based on the comparison results; Step 147: Determine the vegetation variety index based on the vegetation drought resistance index, vegetation alkali resistance index, vegetation barrenness resistance index, vegetation salt resistance index and vegetation root depth index.

[0033] For step 141, in the area between the dust retention zone and the precipitation collection zone, select 3-5 detection points according to the principle of uniform distribution (the number of detection points can be adjusted according to the area width B). The number increased to 5 at a time. Three points were selected at a time, and soil parameters were measured at a depth of 0-50cm at each point. The average value of all points was taken as the final soil parameter to ensure the representativeness of the test results. For example, soil moisture content... Soil pH value Soil organic matter content Soil salinity Soil thickness .

[0034] For step 142, according to Determine the first preset value, where, This represents the annual precipitation (mm) guaranteed by the design, reflecting the region's annual precipitation supply capacity. The current collection efficiency is expressed as a unitless value; the current collection efficiency of the hardened surface is taken as... soil surface , Indicates the width of the dust trap (m). Indicates the width of the precipitation catchment zone (m). This indicates the first preset value.

[0035] If the soil moisture content is being tested If ω = 8.2%, it indicates that the soil moisture conditions are relatively good, and the drought resistance index of the vegetation is determined to be "weakly drought-resistant." Vegetation with moderate drought resistance but good sand-fixing effect can be selected. If ω < ω1, it indicates that the soil is relatively dry, and the drought resistance index of the vegetation is determined to be "strongly drought-resistant." Vegetation with well-developed root systems and extremely strong drought resistance should be selected. In the example, ω = 8.2%. If ω1 = 10% is calculated, then ω < ω1, and the drought resistance index of the vegetation is determined to be "strongly drought-resistant."

[0036] For step 143, according to Determine the second preset value, where, Indicates annual sediment transport ( ), This represents the annual precipitation (mm) that guarantees the design rate. This indicates the second preset value.

[0037] If the soil pH value is being tested This indicates that the soil is slightly neutral or alkaline, thus determining the vegetation's alkali tolerance index as "slightly alkali tolerant"; if the pH value... This indicates that the soil is strongly alkaline, and the vegetation's alkali tolerance index is determined to be "strongly alkali-tolerant." (Example) If the calculation yields ,but The vegetation's alkali tolerance index was determined to be "strong alkali tolerance".

[0038] For step 144, according to Determine the third preset value, where, Indicates initial vegetation cover The higher the initial cover, the higher the basic soil organic matter content. This represents the annual precipitation (mm) that guarantees the design rate. This indicates the third preset value.

[0039] If the soil organic matter content is tested This indicates that the soil fertility is relatively good, and the vegetation's tolerance to poor soil conditions is determined to be "weakly tolerant to poor soil conditions"; if This indicates that the soil is relatively infertile, and the vegetation's tolerance to poor soil conditions is determined to be "strong tolerance to poor soil conditions." (Example) If the calculation yields ,but The vegetation's tolerance to poor soil was defined as "strong tolerance to poor soil".

[0040] For step 145, according to Determine the fourth preset value, where, Indicates the width of the dust trap (m). This indicates the distance (in meters) between the dust retention zone and the precipitation catchment zone. The greater the distance, the weaker the dilution effect of precipitation and the higher the salinity. This indicates the annual precipitation (mm) as the design guarantee rate. The more precipitation, the more significant the dilution of soil salinity, and the lower the salinity. This indicates the fourth preset value.

[0041] If the soil salinity is being tested This indicates that the soil salinity is low, and the vegetation's salt tolerance index is determined to be "weakly salt-tolerant"; if This indicates a high soil salinity, thus the vegetation's salt tolerance index is determined to be "strong salt tolerance." (Example) If the calculation yields ,but The vegetation salt tolerance index was determined to be "strong salt tolerance".

[0042] For step 146, according to Determine the fifth preset value, where, This indicates the height of the photovoltaic panel (m). The higher the panel, the weaker the soil erosion beneath it, and the thicker the soil layer. Indicates the width of the dust trap (m). Indicates the width of the precipitation catchment zone (m). This indicates the fifth preset value.

[0043] If the soil thickness is measured This indicates a relatively thick soil layer, and the root depth index for vegetation is determined to be "deep root system" (root depth). );like This indicates that the soil layer is relatively thin, and the root depth index for vegetation is determined to be "shallow root system" (root depth). (Example) If the calculation yields ,but The root depth index for vegetation was defined as "deep root system".

[0044] For step 147, taking the above example again, the vegetation drought resistance index is determined to be "strong drought resistance", the vegetation alkali resistance index is determined to be "strong alkali resistance", the vegetation barrenness resistance index is determined to be "strong barrenness resistance", the vegetation salt resistance index is determined to be "strong salt resistance", and the vegetation root depth index is determined to be "deep root system". Therefore, the vegetation variety index is "strong drought resistance, strong alkali resistance, strong barrenness resistance, strong salt resistance, and deep root system".

[0045] In some optional implementations, step 15, determining the planting time based on the vegetation variety index and the vegetation distribution data, includes: Step 151: Determine the drought resistance, alkali resistance, barrenness tolerance, salt tolerance, and root depth characteristics of the vegetation species. Step 152: Determine the planting time of vegetation based on the vegetation drought resistance characteristics, vegetation alkali resistance characteristics, vegetation barrenness resistance characteristics, vegetation salt resistance characteristics, vegetation root depth characteristics, vegetation drought resistance index, vegetation alkali resistance index, vegetation barrenness resistance index, vegetation salt resistance index, and vegetation root depth index.

[0046] For step 151, according to the preset vegetation characteristic lookup table (refer to Table 1), look up the vegetation drought resistance characteristics (including weak drought resistance and strong drought resistance), vegetation alkali resistance characteristics (including weak alkali resistance and strong alkali resistance), vegetation barrenness resistance characteristics (including weak barrenness resistance and strong barrenness resistance), vegetation salt resistance characteristics (including weak salt resistance and strong salt resistance), and vegetation root depth characteristics (including deep root system and shallow root system).

[0047] Table 1. Vegetation Characteristics Lookup Table

[0048] For step 152, the vegetation drought resistance characteristics, vegetation alkali resistance characteristics, vegetation barrenness resistance characteristics, vegetation salt resistance characteristics, and vegetation root depth characteristics are matched with the vegetation drought resistance index, vegetation alkali resistance index, vegetation barrenness resistance index, vegetation salt resistance index, and vegetation root depth index, respectively, and the vegetation planting time is determined based on the matching results.

[0049] As an example, as can be seen from the examples in step 14, the vegetation variety indicators are strong drought resistance, strong alkali resistance, strong tolerance to poor soil, strong salt resistance, and deep root system.

[0050] As an example, taking the second scenario in step 132 above—where the distance within the preset range is greater than the first preset value and less than the second preset value—a combination of shrubs and herbs is selected. The shrubs are selected as sea buckthorn and sand willow, and the herbs as Artemisia arenaria, sheepgrass, or Haloxylon ammodendron. Artemisia arenaria or Haloxylon ammodendron are planted near the dust retention zone, sea buckthorn and sand willow are planted in the middle area, and a small amount of alfalfa or Haloxylon ammodendron is added near the precipitation catchment zone. The vegetation characteristic lookup table is used to determine the following characteristics of Artemisia arenaria: drought resistance, alkali resistance, barrenness tolerance, salt tolerance, and root depth: strong drought resistance, strong alkalinity, strong barrenness tolerance, weak salt tolerance, and deep root system. The characteristics of Haloxylon ammodendron are: strong drought resistance, strong alkalinity, strong barrenness tolerance, strong salt tolerance, and deep root system. The characteristics of sand willow are: strong drought resistance, strong alkalinity, strong barrenness tolerance, weak salt tolerance, and deep root system. The characteristics of alfalfa are: weak drought resistance, weak alkalinity, weak barrenness tolerance, weak salt tolerance, and shallow root system.

[0051] The drought resistance, alkali resistance, barrenness tolerance, salt tolerance, and root depth characteristics of Haloxylon ammodendron, Hippophae rhamnoides, Artemisia argyi, Alfalfa, and Salix psammophila were matched with the drought resistance, alkali resistance, barrenness tolerance, salt tolerance, and root depth indices, respectively. The matching results were as follows: Haloxylon ammodendron: 5; Hippophae rhamnoides: 4; Artemisia argyi: 4; Alfalfa: 0; and Salix psammophila: 4.

[0052] Select suitable vegetation species for matching: plant Haloxylon ammodendron near the dust retention zone (the matching result of Artemisia arenaria is 4, which is less than the matching result of Haloxylon ammodendron is 5); plant either Hippophae rhamnoides or Salix matsudana in the middle area (both Hippophae rhamnoides and Salix matsudana have a matching result of 4); and plant Haloxylon ammodendron near the precipitation catchment zone (the matching result of Alfalfa is 0, which is less than the matching result of Haloxylon ammodendron is 5). As an example, select suitable vegetation species (Hippophae rhamnoides and Hippophae rhamnoides), and combine this with the environmental parameters from step 11 (annual precipitation P). p =180mm, microclimate under photovoltaic panels), and candidate planting times and feasibility assessments are updated simultaneously. The core criteria for assessment are: planting time must be compatible with the growth characteristics of *Hippophae rhamnoides* and *Hippophae seabuckthorn*, and must match soil moisture and temperature conditions. Further verification is based on the degree of matching (the higher the degree of matching, the higher the tolerance for planting time errors). Candidate planting times and feasibility assessments: 1. Candidate Time 1: Late March to early April in spring (local average daily temperature ≥10℃, precipitation gradually increases, soil thaws, suitable for vegetation sprouting); Haloxylon ammodendron and Hippophae rhamnoides are both spring sprouting types, and the matching degree reaches 100% (resistance is fully adapted to soil indicators). At this time, the soil moisture content is slightly increased due to spring snowmelt (supplementing the deficiency of ω=8.2%), and the temperature is suitable for the root growth of the two vegetation types. Haloxylon ammodendron's deep root system can quickly take root in deep soil, and Hippophae rhamnoides can complete the seedling recovery with the help of the mild climate. The survival rate after planting is high, and the planting time is feasible.

[0053] 2. Candidate Time 2: Mid-June to early July in summer (local average daily temperature ≥25℃, concentrated rainfall, but high evaporation); Although the rainfall is concentrated, the excessive evaporation will cause the soil moisture content to drop rapidly (below ω=8.2%), and the high temperature will easily cause scorching of Haloxylon ammodendron and Hippophae rhamnoides seedlings; Although the two vegetation types are 100% compatible (strong resistance), the seedlings are less resistant to adverse conditions. Haloxylon ammodendron seedlings are not tolerant of high temperature and sun exposure, and Hippophae rhamnoides seedlings are prone to wilting due to excessive water evaporation, which will significantly reduce the survival rate. Therefore, the planting time is not feasible.

[0054] 3. Candidate Time 3: Mid-September to early October in autumn (local average daily temperature 15-20℃, stable rainfall, low evaporation, and good soil moisture); Both Haloxylon ammodendron and Hippophae rhamnoides can tolerate autumn temperatures and have stable soil moisture. The two plants, which are 100% compatible, can take root quickly. Haloxylon ammodendron's deep root system can absorb deep groundwater to prepare for overwintering, while Hippophae rhamnoides can accumulate nutrients to improve cold resistance. The survival rate after planting is high, and the seedlings can avoid damage from the severe winter cold. The planting time is feasible.

[0055] 4. Candidate Time 4: Late August to early September in autumn (local average daily temperature 18-22℃, late rainfall, optimal soil moisture); at this time, the temperature is suitable, the soil moisture is sufficient, which is suitable for the growth rhythm of Haloxylon ammodendron and Hippophae rhamnoides. Haloxylon ammodendron can quickly sprout new roots, and Hippophae rhamnoides can quickly recover from seedling stage. Moreover, there is enough time before the severe winter cold to complete the growth. The survival rate of the two vegetation plants with 100% compatibility can reach more than 90%, so the planting time is feasible.

[0056] In some alternative implementations, step 16, determining the vegetation planting pattern for desertification control based on the vegetation distribution data, the vegetation variety index, and the planting time, includes: Step 161: Determine the weight of the water-retaining material to be laid in the planting holes of the vegetation according to the vegetation variety index. Step 162: The water-retaining material of the specified weight is laid in advance in the planting holes of the vegetation. Based on the vegetation distribution data and planting time, the vegetation planting pattern for desertification control is determined.

[0057] For step 161, according to Determine the weight of the water-retaining material to be laid in the planting holes, including: This indicates the weight of water-retaining material that needs to be laid in a single planting hole for a single plant. ), This represents the vegetation variety correction factor, which can be set according to the drought resistance and root characteristics of specific plant varieties, such as Haloxylon ammodendron: (Highly drought-resistant but with deeper root systems, requiring more water-retaining materials to maintain moisture in deeper soil layers), Sea buckthorn: (Strongly drought-resistant, with a root system slightly shallower than that of Haloxylon ammodendron; the amount of water-retaining material used is the baseline value). The soil infertility correction coefficient can be combined with the strong tolerance to infertility index determined in step 14. Set, retrieve value Preferred , This represents the microclimate correction coefficient for photovoltaic panels, set based on the characteristics of high evaporation and strong sunlight under the photovoltaic panels, and its value is [value missing]. Preferred , This indicates the first preset value of soil moisture content. , This indicates the actual measured soil moisture content. , Indicates the soil volume of the planting hole The planting holes are designed according to the depth of the plant's root system. For example, for Haloxylon ammodendron: the planting hole specifications are a diameter of 0.5m and a depth of 0.8m (matching the depth of the main root). ), Sea buckthorn: Planting holes should be 0.4m in diameter and 0.5m deep (to match the depth of the main root). ), , Indicates soil dry density The conventional dry density of sandy soil under photovoltaic panels for sand control, taking the following values: In this embodiment, .

[0058] Using the above example, the weight calculation of water-retaining material per hole of Haloxylon ammodendron: Substitute parameters , , , , , , Calculations yielded .

[0059] Calculation of the weight of water-retaining material per hole of sea buckthorn: Substitute parameters , , , , , ³、 Calculations yielded .

[0060] In some optional implementations, step 162 involves pre-laying the water-retaining material of the stated weight in the planting holes, and determining the vegetation planting pattern for desertification control based on the vegetation distribution data and planting time, including: Step 1621: Match the plant species with the preset target species, and adjust the plant distribution data and planting time according to the matching results; Step 1622: Determine the vegetation planting pattern for desertification control based on the adjusted vegetation distribution data and planting time.

[0061] In this embodiment, the target species is Haloxylon ammodendron. If Haloxylon ammodendron is among the plant species, then Cistanche deserticola is inoculated at the base of the Haloxylon ammodendron once it grows into a shrub and forms a stable sand-fixing barrier. This means adding one species, Cistanche deserticola, to the plant species in the vegetation distribution data and adding the planting time of Cistanche deserticola to the planting time.

[0062] In one application scenario, refer to Figure 2 and Figure 3 When the distance is greater than the first preset value and less than the second preset value, the vegetation species are determined to be Haloxylon ammodendron and Hippophae rhamnoides. Haloxylon ammodendron is planted on the side closer to the dust retention zone, Hippophae rhamnoides is planted in the middle area, and Haloxylon ammodendron is planted on the side closer to the precipitation collection zone.

[0063] The vegetation distribution data and planting time are as follows: (1) Year 1 (rapid coverage period): After the photovoltaic power station is completed, Haloxylon ammodendron seedlings will be planted on a large scale in the planned area. The space between the Haloxylon ammodendron rows can be used as low-water-consuming forage grass (such as alfalfa) to quickly cover the ground, immediately fix the sand and generate a small amount of forage income.

[0064] Once the photovoltaic pile foundation construction is completed, immediately lay a 0.2mm thick black rain-collecting film (with a 5cm groove along the back edge to guide rainwater from the panel surface into the leeward water collection belt); within one week: plant containerized saxaul (container diameter 8cm, height 15cm, containing water-retaining agent) on the side near the dust retention belt and the side near the rainwater collection belt, or plant saxaul in conjunction with sand barriers.

[0065] (2) Years 2-3 (System Stabilization Period): At the beginning of the second year, sea buckthorn is planted in the central area. This stage mainly involves nurturing and management. Sea buckthorn is planted in holes dug in the leeward water collection area, with a hole diameter of 30cm. 200g of humic acid-polyacrylamide composite water-retaining granules are laid at the bottom of the hole. Natural fertilization is achieved by utilizing rainwater from the photovoltaic panel surface and sand accumulated on the leeward side, eliminating the need for irrigation throughout the year.

[0066] When the Haloxylon ammodendron grows into a shrub, it forms a stable sand-fixing barrier. The Haloxylon ammodendron canopy width is ≥0.5m. Cistanche deserticola is inoculated on the side near the dust retention zone and the side near the precipitation catchment zone using the "root pruning induction-seed mud method or other methods". The trench depth is 45cm, the root pruning angle is 30°, and the seed coating layer contains 0.5% chitosan + 1% carbendazim. (3) Years 3-4 (High-yield cultivation period): Since Haloxylon ammodendron is the target species, the vegetation species in the vegetation distribution data should also include Cistanche deserticola. Cistanche deserticola seeds are artificially inoculated into the roots of healthy Haloxylon ammodendron. At this time, the Haloxylon ammodendron forest provides a parasitic basis for Cistanche deserticola. Sea buckthorn enters the initial fruiting stage.

[0067] (4) Year 5 and beyond (stable and diversified period): Cistanche deserticola enters the harvesting period (harvesting can continue for many years). Sea buckthorn enters its peak fruiting period, forming a tall economic forest belt. Under the sea buckthorn forest or in highly shaded areas, understory breeding (such as chicken farming) or planting shade-tolerant medicinal herbs can be developed to generate diversified income.

[0068] In addition, independent irrigation branches can be installed for Haloxylon ammodendron and Hippophae rhamnoides to provide precise irrigation based on their different growth stages and water requirements. Water sources can partially utilize wastewater from photovoltaic panel cleaning. An intelligent monitoring system uses soil moisture and light sensors to monitor the microenvironment in each area, guiding irrigation and assessing plant growth.

[0069] refer to Figure 4 The embodiments of the present invention also provide a planting parameter determination device 400 for desertification control vegetation under photovoltaic panels, comprising: The acquisition module 401 is used to acquire the building parameters of the photovoltaic panel and the environmental parameters of the location where the photovoltaic panel is located. The processing module 402 is used to determine the dust retention zone and the precipitation collection zone between two rows of photovoltaic panels based on the building parameters and environmental parameters; determine the vegetation distribution data between the dust retention zone and the precipitation collection zone based on the distance between them; determine the vegetation species index between the dust retention zone and the precipitation collection zone based on the soil index parameters; determine the vegetation planting time based on the vegetation species index and the vegetation distribution data; and determine the vegetation planting pattern for desertification control based on the vegetation distribution data, the vegetation species index, and the planting time.

[0070] Optionally, based on the building parameters and environmental parameters, a dust retention zone and a rainwater collection zone are determined between the two rows of photovoltaic panels, including: The width of the dust retention zone and the width of the precipitation collection zone are determined based on the aforementioned environmental parameters; The coordinate parameters of the dust retention zone between the two rows of photovoltaic panels are determined based on the building parameters and the width of the dust retention zone. The coordinate parameters of the rainwater collection zone between the two rows of photovoltaic panels are determined based on the building parameters and the width of the rainwater collection zone.

[0071] Optionally, vegetation distribution data between the dust retention zone and the precipitation catchment zone is determined based on the distance between them, including: Determine the distance between the dust retention zone and the precipitation collection zone; The distance is compared with a preset range, and the species, species distribution, row spacing, plant spacing and planting depth of the vegetation set between the dust retention zone and the precipitation collection zone are determined based on the comparison results. The vegetation distribution data are determined based on the variety, variety distribution, row spacing, plant spacing and planting depth of the vegetation.

[0072] Optionally, based on soil index parameters between the dust retention zone and the precipitation catchment zone, the vegetation species index for planting between the dust retention zone and the precipitation catchment zone is determined, including: The soil index parameters between the dust retention zone and the precipitation collection zone are detected. The soil index parameters include at least soil moisture content, soil pH value, soil organic matter content, soil salinity, and soil thickness. Compare the soil moisture content with the first preset value, and determine the vegetation drought resistance index based on the comparison results; Compare the soil pH value with the second preset value, and determine the vegetation alkali tolerance index based on the comparison results; The soil organic matter content is compared with the third preset value, and the vegetation tolerance index is determined based on the comparison results. Compare the soil salinity with the fourth preset value, and determine the vegetation salt tolerance index based on the comparison results; Compare the soil thickness with the fifth preset value, and determine the vegetation root depth index based on the comparison results; The vegetation variety index is determined based on the vegetation drought resistance index, vegetation alkali resistance index, vegetation barrenness resistance index, vegetation salt resistance index, and vegetation root depth index.

[0073] Optionally, the planting time is determined based on the vegetation variety index and the vegetation distribution data, including: Determine the drought resistance, alkali resistance, barren soil tolerance, salt tolerance, and root depth characteristics of vegetation species. The planting time for vegetation is determined based on the vegetation's drought resistance characteristics, alkali resistance characteristics, barrenness resistance characteristics, salt resistance characteristics, root depth characteristics, drought resistance index, alkali resistance index, barrenness resistance index, salt resistance index, and root depth index.

[0074] Optionally, based on the vegetation distribution data, the vegetation variety index, and the planting time, a vegetation planting pattern for desertification control is determined, including: The weight of the water-retaining material to be laid in the planting holes is determined based on the vegetation variety index. The water-retaining material of the specified weight is laid in advance in the planting holes of the vegetation. Based on the vegetation distribution data and planting time, the vegetation planting pattern for desertification control is determined.

[0075] Optionally, the water-retaining material of the stated weight is pre-laid in the planting holes for vegetation, and the vegetation planting pattern for desertification control is determined based on the vegetation distribution data and planting time, including: The plant species are matched with preset target species, and the plant distribution data and planting time are adjusted according to the matching results. Based on the adjusted vegetation distribution data and planting time, the vegetation planting pattern for desertification control was determined.

[0076] It should be noted that this device is the same as the method described above. All implementations in the above method embodiments are applicable to the embodiments of this device and can achieve the same technical effect.

[0077] Embodiments of the present invention also provide a computing device, including: one or more processors; and a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method of the present invention.

[0078] All implementations in the above method embodiments are applicable to the embodiments of this computing device and can achieve the same technical effect.

[0079] In another aspect, the present invention also provides a computer-readable storage medium storing a program that, when executed by a processor, implements the method described in the present invention. All implementations in the above method embodiments are applicable to the embodiments of this computer-readable storage medium and can achieve the same technical effects.

[0080] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for determining planting parameters for desertification control vegetation under photovoltaic panels, characterized in that, include: Obtain the building parameters of the photovoltaic panels and the environmental parameters of the location where the photovoltaic panels are located; Based on the aforementioned building and environmental parameters, the dust retention zone and rainwater collection zone between the two rows of photovoltaic panels are determined; Based on the distance between the dust retention zone and the precipitation catchment zone, determine the vegetation distribution data between the dust retention zone and the precipitation catchment zone; Based on the soil index parameters between the dust retention zone and the precipitation catchment zone, determine the vegetation species index to be planted between the dust retention zone and the precipitation catchment zone; The planting time for vegetation is determined based on the vegetation variety index and the vegetation distribution data. Based on the vegetation distribution data, the vegetation variety indicators, and the planting time, a vegetation planting pattern for desertification control is determined.

2. The method for determining planting parameters of desertification control vegetation under photovoltaic panels according to claim 1, characterized in that, Based on the aforementioned building and environmental parameters, the dust retention zone and rainwater collection zone between the two rows of photovoltaic panels are determined, including: The width of the dust retention zone and the width of the precipitation collection zone are determined based on the aforementioned environmental parameters; The coordinate parameters of the dust retention zone between the two rows of photovoltaic panels are determined based on the building parameters and the width of the dust retention zone. The coordinate parameters of the rainwater collection zone between the two rows of photovoltaic panels are determined based on the building parameters and the width of the rainwater collection zone.

3. The method for determining planting parameters of desertification control vegetation under photovoltaic panels according to claim 1, characterized in that, Based on the distance between the dust retention zone and the precipitation catchment zone, vegetation distribution data between the dust retention zone and the precipitation catchment zone are determined, including: Determine the distance between the dust retention zone and the precipitation collection zone; The distance is compared with a preset range, and the species, species distribution, row spacing, plant spacing and planting depth of the vegetation set between the dust retention zone and the precipitation collection zone are determined based on the comparison results. The vegetation distribution data are determined based on the variety, variety distribution, row spacing, plant spacing and planting depth of the vegetation.

4. The method for determining planting parameters of desertification control vegetation under photovoltaic panels according to claim 3, characterized in that, Based on soil index parameters between the dust retention zone and the precipitation catchment zone, the vegetation species indexes for planting between these two zones are determined, including: The soil index parameters between the dust retention zone and the precipitation collection zone are detected. The soil index parameters include at least soil moisture content, soil pH value, soil organic matter content, soil salinity, and soil thickness. Compare the soil moisture content with the first preset value, and determine the vegetation drought resistance index based on the comparison results; Compare the soil pH value with the second preset value, and determine the vegetation alkali tolerance index based on the comparison results; The soil organic matter content is compared with the third preset value, and the vegetation tolerance index is determined based on the comparison results. Compare the soil salinity with the fourth preset value, and determine the vegetation salt tolerance index based on the comparison results; Compare the soil thickness with the fifth preset value, and determine the vegetation root depth index based on the comparison results; The vegetation variety index is determined based on the vegetation drought resistance index, vegetation alkali resistance index, vegetation barrenness resistance index, vegetation salt resistance index, and vegetation root depth index.

5. The method for determining planting parameters of desertification control vegetation under photovoltaic panels according to claim 4, characterized in that, Determining the planting time based on the vegetation variety index and the vegetation distribution data includes: Determine the drought resistance, alkali resistance, barren soil tolerance, salt tolerance, and root depth characteristics of vegetation species. The planting time for vegetation is determined based on the vegetation's drought resistance characteristics, alkali resistance characteristics, barrenness resistance characteristics, salt resistance characteristics, root depth characteristics, drought resistance index, alkali resistance index, barrenness resistance index, salt resistance index, and root depth index.

6. The method for determining planting parameters of desertification control vegetation under photovoltaic panels according to claim 3, characterized in that, Based on the vegetation distribution data, the vegetation variety indicators, and the planting time, a vegetation planting pattern for desertification control is determined, including: The weight of the water-retaining material to be laid in the planting holes is determined based on the vegetation variety index. The water-retaining material of the specified weight is laid in advance in the planting holes of the vegetation. Based on the vegetation distribution data and planting time, the vegetation planting pattern for desertification control is determined.

7. The method for determining planting parameters of desertification control vegetation under photovoltaic panels according to claim 6, characterized in that, The water-retaining material of the stated weight is pre-laid in the planting holes for vegetation. Based on the vegetation distribution data and planting time, the vegetation planting pattern for desertification control is determined, including: The plant species are matched with preset target species, and the plant distribution data and planting time are adjusted according to the matching results. Based on the adjusted vegetation distribution data and planting time, the vegetation planting pattern for desertification control was determined.

8. A device for determining planting parameters of desertification control vegetation under photovoltaic panels, characterized in that, include: The acquisition module is used to acquire the building parameters of the photovoltaic panels and the environmental parameters of the location where the photovoltaic panels are located; The processing module is used to determine the dust retention zone and precipitation collection zone between two rows of photovoltaic panels based on the building parameters and environmental parameters; determine the vegetation distribution data between the dust retention zone and precipitation collection zone based on the distance between them; determine the vegetation species index between the dust retention zone and precipitation collection zone based on the soil index parameters; determine the vegetation planting time based on the vegetation species index and the vegetation distribution data; and determine the vegetation planting pattern for desertification control based on the vegetation distribution data, the vegetation species index, and the planting time.

9. A computing device, characterized in that, include: One or more processors; A storage device for storing one or more programs, which, when executed by one or more processors, cause the one or more processors to implement the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a program that, when executed by a processor, implements the method as described in any one of claims 1 to 7.

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