Regulation and control method and system based on water and soil loss data

Abstract

The invention discloses a regulation and control method and system based on water and soil loss data, and relates to the technical field of ecological environment protection. According to the main technical scheme, a to-be-detected vegetation group is screened according to stability data of the to-be-detected vegetation group in different water and soil loss areas. The influence of the diversity of the vegetation varieties in the to-be-detected vegetation group on the adaptive capacity of individual vegetation types in a mixed planting mode is effectively reduced. And screening the to-be-detected vegetation groups according to the vegetation coverage rates of the target vegetation groups under different seeding data. The water and soil conservation effect of the variety diversity change of the vegetation in the to-be-planted quilt group is effectively ensured. And after the vegetation variety suitable for growing in the target area in the to-be-planted quilt group is planted in the target area, screening the to-be-planted quilt group according to the water and soil loss data prediction value of the target area. The maximization of the water and soil conservation effect of the target area is effectively ensured. And meanwhile, the influence of vegetation diversity change on the environmental resilience of the water and soil loss area is effectively reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of ecological environment protection, and in particular to a control method and system based on soil and water loss data. Background Art

[0002] With the global climate change and the intensification of human activities, the problem of soil erosion is becoming increasingly serious. Soil erosion not only leads to land degradation, but also affects the water quality of rivers and even triggers natural disasters such as mudslides and landslides. Therefore, taking effective soil and water conservation measures to prevent and control soil erosion is of great significance for protecting the ecological environment and safeguarding people's lives and property. The existing main soil and water conservation measures include physical engineering (such as building terraces and retaining walls), chemical improvement (such as applying lime and organic fertilizers) and biological measures (such as afforestation and turf construction). Among them, biological measures are widely valued because of their low cost, good benefits and strong sustainability.

[0003] However, when using biological measures to carry out soil and water conservation, existing technologies usually only focus on the adaptability of vegetation types, but fail to fully consider the impact of the diversity between different vegetation types on the adaptability of individual vegetation types in mixed planting patterns. In addition, the impact of changes in vegetation diversity on the environmental resilience of soil and water loss areas is often overlooked.

[0004] Therefore, how to study and design a control method and system based on soil erosion data that can overcome the above-mentioned defects is a problem that we urgently need to solve. Summary of the invention

[0005] The purpose of the present invention is to provide a control method and system based on soil and water loss data, and to screen the vegetation group to be tested based on the stability data of the vegetation group to be tested in different soil and water loss areas to obtain the target vegetation group. The influence of the diversity of vegetation varieties in the vegetation group to be tested on the adaptability of individual vegetation types under the mixed planting mode is effectively reduced. In addition, after the vegetation varieties in the vegetation group to be planted that are suitable for growing in the target area are planted in the target area, the vegetation group to be planted is screened based on the predicted value of soil and water loss data in the target area. This effectively ensures the maximization of the soil and water conservation effect in the target area. At the same time, the influence of changes in vegetation diversity on the environmental resilience of the soil and water loss area is effectively reduced.

[0006] In order to solve the above technical problems, the present invention adopts the following technical solutions:

[0007] In a first aspect, a control method based on soil erosion data is provided, comprising the following operations:

[0008] Obtain vegetation species in the target area and vegetation species suitable for growing in the target area;

[0009] Based on the vegetation species in the target area and the vegetation species suitable for growing in the target area, construct a vegetation group to be tested; wherein the vegetation group to be tested includes all the vegetation species in the target area and at least one vegetation species suitable for growing in the target area;

[0010] Obtaining stability data of each vegetation group to be tested in different soil erosion areas from historical data, and marking the vegetation group to be tested whose stability data meets the preset stability data as the target vegetation group;

[0011] The vegetation coverage rate of each target vegetation group under different seeding data is obtained from historical data, and the target vegetation group whose vegetation coverage rate meets the preset vegetation coverage rate is marked as the vegetation group to be planted;

[0012] Obtaining the predicted value of soil and water loss data of the target area after the vegetation species suitable for growing in the target area are planted in the target area;

[0013] The vegetation species suitable for growing in the target area among the vegetation groups to be planted with the largest predicted value of soil and water loss data are planted in the target area.

[0014] A further technical solution is: the process of obtaining vegetation species suitable for growing in the target area includes:

[0015] Build a digital twin model of the target area;

[0016] Input the characteristic data of the vegetation varieties into the digital twin model to obtain the predicted survival rate, predicted average root growth rate and predicted average crown width growth rate of the vegetation varieties in the digital twin model; wherein the characteristic data of the vegetation varieties include suitable soil types and climatic conditions;

[0017] The fitness of the vegetation varieties is calculated based on the predicted survival rate, predicted average root growth rate and predicted average crown width growth rate of the vegetation varieties, and the vegetation varieties whose fitness meets the preset fitness are marked as vegetation varieties suitable for growing in the target area.

[0018] A further technical solution is: the process of obtaining stability data of the vegetation group to be tested in different soil erosion areas includes:

[0019] Obtain the survival rate, average root growth rate and average crown growth rate of each vegetation species in different soil and water loss areas;

[0020] Based on the survival rate, average root growth rate and average crown width growth rate of each vegetation species in the vegetation group to be tested, the stability data of the vegetation group to be tested is calculated.

[0021] A further technical solution is: the calculation formula for the stability data of the vegetation group to be tested is:

[0022]

[0023] in, is the stability data of the vegetation group to be tested; is the weight coefficient of the survival rate of the vegetation group to be tested; is the number of vegetation species in the planting group to be tested; is the number of soil erosion areas; The vegetation group to be tested is The vegetation species in Survival rate in soil erosion areas; is the weight coefficient of the average root growth rate of the vegetation group to be tested; The vegetation group to be tested is The vegetation species in Average root growth rate in a soil erosion area; is the weight coefficient of the average crown width growth rate of the vegetation group to be tested; The vegetation group to be tested is The vegetation species in The average crown width growth rate in the soil erosion area.

[0024] A further technical solution is: the sowing data includes several sowing indicators, and the sowing indicators at least include planting method, planting spacing and planting quantity ratio; wherein, if there is at least one sowing indicator difference among the target vegetation groups under different sowing data, the vegetation coverage rate of the target vegetation groups under different sowing data is calculated.

[0025] A further technical solution is: the calculation formula of the vegetation coverage rate of the target vegetation group under different seeding data is:

[0026]

[0027] in, The vegetation coverage of the target vegetation group under different seeding data; The weight coefficient of vegetation coverage when mixed planting of target vegetation groups; The number of planting intervals when mixed planting is for the target vegetation group; The number of planting ratios when mixed planting is for the target vegetation group; When planting mixed vegetation groups, Planting spacing, The vegetation coverage rate under the planting quantity ratio; The weight coefficient of vegetation coverage when planting in different areas for target vegetation groups; When planting in different areas for the target vegetation group, the number of planting intervals; When planting in different areas for the target vegetation group, the number of planting quantity ratios; When planting target vegetation groups, Planting spacing, The vegetation coverage rate under the planting quantity ratio.

[0028] A further technical solution is: the process of obtaining the predicted value of soil and water loss data includes:

[0029] Input the characteristic data of the vegetation species suitable for growing in the target area in the vegetation group to be planted into the digital twin model to obtain the predicted soil and water loss area reduction rate, predicted erosion depth reduction rate and predicted erosion rate reduction rate of the vegetation species suitable for growing in the target area in the digital twin model;

[0030] The predicted value of soil and water loss data is calculated based on the predicted reduction rate of soil and water loss area, the predicted reduction rate of erosion depth and the predicted reduction rate of erosion rate.

[0031] A further technical solution is: the calculation formula of the soil and water loss data prediction value is:

[0032]

[0033] in, The predicted value of soil and water loss data for the vegetation group to be planted; is the weight coefficient of the reduction rate of soil erosion area of ​​the vegetation group to be planted; The predicted soil erosion area reduction rate for the vegetation group to be planted; is the weight coefficient of the reduction rate of erosion depth of the vegetation group to be planted; is the predicted erosion depth reduction rate of the vegetation group to be planted; is the weight coefficient of the erosion rate reduction rate of the vegetation group to be planted; is the predicted erosion rate reduction rate of the vegetation community to be planted.

[0034] In a second aspect, a control system based on soil erosion data is provided, wherein the control system is used to implement the control method as described in the first aspect, including:

[0035] A first acquisition module, the first acquisition module is used to acquire vegetation species in the target area and vegetation species suitable for growing in the target area;

[0036] A construction module, wherein the construction module is used to construct a vegetation group to be tested according to the vegetation species in the target area and the vegetation species suitable for growing in the target area; wherein the vegetation group to be tested includes all the vegetation species in the target area and at least one vegetation species suitable for growing in the target area;

[0037] A second acquisition module, the second acquisition module is used to obtain stability data of each vegetation group to be tested in different soil and water loss areas from historical data, and mark the vegetation group to be tested whose stability data meets the preset stability data as the target vegetation group;

[0038] A third acquisition module, the third acquisition module is used to obtain the vegetation coverage rate of each target vegetation group under different seeding data from historical data, and mark the target vegetation group whose vegetation coverage rate meets the preset vegetation coverage rate as the vegetation group to be planted;

[0039] A fourth acquisition module, the fourth acquisition module is used to obtain the predicted value of soil and water loss data of the target area after the vegetation species suitable for growing in the target area in the vegetation group to be planted are planted in the target area;

[0040] The planting module is used to plant the vegetation species suitable for growing in the target area among the vegetation groups to be planted with the largest soil and water loss data prediction value in the target area.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] On the one hand, the vegetation groups to be tested are screened based on their stability data in different soil and water loss areas to obtain the target vegetation groups. This effectively reduces the impact of the diversity of vegetation varieties in the vegetation groups to be tested on the adaptability of individual vegetation types under the mixed planting mode. On the other hand, the vegetation groups to be planted are screened based on the predicted values ​​of soil and water loss data in the target area after the vegetation varieties suitable for growing in the target area are planted in the target area. This effectively ensures the maximization of the soil and water conservation effect in the target area. At the same time, it effectively reduces the impact of changes in vegetation diversity on the environmental resilience of the soil and water loss area. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 This is a flow chart of a control method based on soil and water loss data in this embodiment;

[0044] Figure 2 This is a schematic diagram of a control system based on soil and water loss data in this embodiment. DETAILED DESCRIPTION

[0045] The present invention will be further described below in conjunction with the accompanying drawings.

[0046] Embodiment 1,

[0047] This embodiment provides a control method based on soil erosion data, such as Figure 1 As shown, the following operations are included:

[0048] S100. Obtaining vegetation species in the target area and vegetation species suitable for growing in the target area;

[0049] S200. Based on the vegetation species in the target area and the vegetation species suitable for growing in the target area, construct a vegetation group to be tested; wherein the vegetation group to be tested includes all vegetation species in the target area and at least one vegetation species suitable for growing in the target area;

[0050] S300. Obtaining stability data of each vegetation group to be tested in different soil erosion areas from historical data, and marking the vegetation group to be tested whose stability data meets the preset stability data as the target vegetation group;

[0051] S400. Obtaining the vegetation coverage of each target vegetation group under different seeding data from historical data, and marking the target vegetation group whose vegetation coverage meets the preset vegetation coverage as the vegetation group to be planted;

[0052] S500. After obtaining the vegetation species suitable for growing in the target area from the vegetation group to be planted and planted in the target area, the predicted value of soil erosion data in the target area;

[0053] S600. Planting the vegetation species suitable for growing in the target area among the vegetation groups to be planted with the largest predicted value of soil and water loss data in the target area.

[0054] It should be noted that the preset fitness, preset stability data, and preset vegetation coverage in this embodiment can be obtained through historical data of the target area or similar areas, combined with historical experience in the fields of ecology, agriculture, and soil and water conservation.

[0055] For example, in the implementation process, in order to more accurately select the vegetation species suitable for growing in the target area, in step S100, the process of obtaining the vegetation species suitable for growing in the target area includes:

[0056] S101. Build a digital twin model of the target area;

[0057] S102. Input the characteristic data of the vegetation variety into the digital twin model to obtain the predicted survival rate, predicted average root growth rate, and predicted average crown width growth rate of the vegetation variety in the digital twin model; wherein the characteristic data of the vegetation variety include suitable soil type and climatic conditions;

[0058] S103. Calculate the fitness of the vegetation varieties based on the predicted survival rate, predicted average root growth rate, and predicted average crown width growth rate of the vegetation varieties, and mark the vegetation varieties whose fitness meets the preset fitness as vegetation varieties suitable for growing in the target area.

[0059] For example, the digital twin model of the target area can be constructed by using the detailed geographical, meteorological, soil and other environmental data of the target area, combined with GIS (Geographic Information System) technology and related software tools. The geographical, meteorological, soil and other environmental data include topography, soil type, precipitation, temperature, humidity, etc.

[0060] The weighted average method was used to calculate the predicted survival rate, predicted average root growth rate and predicted average crown width growth rate of vegetation varieties to obtain the fitness of vegetation varieties.

[0061] Through the precise simulation of the digital twin model, the actual performance of different vegetation varieties in the target area can be more accurately evaluated, thereby improving the adaptability and survival ability of the selected vegetation varieties. At the same time, in this embodiment, when selecting vegetation varieties suitable for growing in the target area, the environmental data of the target area is directly used as the basis, which can be particularly used in areas that are difficult to artificially reshape.

[0062] For example, when taking biological measures in certain areas of soil erosion that are difficult to reshape artificially, the vegetation groups to be planted can be screened out based on the environmental data of the target area, and the seeds of vegetation varieties suitable for growing in the target area can be dropped into the soil erosion area through aerial delivery to control soil erosion.

[0063] Exemplarily, during the implementation process, in step S300, the process of acquiring stability data of the vegetation group to be tested in different soil erosion areas includes:

[0064] S301. Obtaining the survival rate, average root growth rate and average crown width growth rate of each vegetation species in the vegetation group to be tested in different soil erosion areas;

[0065] S302. Calculate the stability data of the vegetation group to be tested based on the survival rate, average root growth rate and average crown width growth rate of each vegetation species in the vegetation group to be tested.

[0066] By calculating the stability data of the vegetation group to be tested by the survival rate, average root growth rate and average crown growth rate of each vegetation species in the vegetation group to be tested in different soil and water erosion areas, we can more accurately evaluate the stability of the vegetation group to be tested in different soil and water erosion areas, thereby screening out target vegetation groups with higher stability.

[0067] Exemplarily, during the implementation process, in step S302, the calculation formula for the stability data of the vegetation group to be tested is:

[0068]

[0069] in, is the stability data of the vegetation group to be tested; is the weight coefficient of the survival rate of the vegetation group to be tested; is the number of vegetation species in the planting group to be tested; is the number of soil erosion areas; The vegetation group to be tested is The vegetation species in Survival rate in soil erosion areas; is the weight coefficient of the average root growth rate of the vegetation group to be tested; The vegetation group to be tested is The vegetation species in Average root growth rate in a soil erosion area; is the weight coefficient of the average crown width growth rate of the vegetation group to be tested; The vegetation group to be tested is The vegetation species in The average crown width growth rate in the soil erosion area.

[0070] Exemplarily, in the implementation process, in order to ensure the adaptability of the vegetation group to be planted to the change of the sowing method. In step S400, the sowing data includes several sowing indicators, and the sowing indicators at least include the planting method, the planting spacing and the planting quantity ratio; wherein, if there is at least one sowing indicator difference in the target vegetation group under different sowing data, the vegetation coverage rate of the target vegetation group under different sowing data is calculated.

[0071] It should be noted that the planting method in this embodiment includes mixed sowing and partitioned sowing. The planting spacing is the spacing between adjacent vegetation. The planting quantity ratio is the proportional relationship between different vegetation varieties.

[0072] By considering a variety of sowing indicators, it is possible to screen out vegetation groups that can maintain a high vegetation coverage rate under different sowing conditions, so as to improve the adaptability of the vegetation groups to environmental changes. In particular, it can effectively ensure the soil and water conservation effect of the vegetation groups in the soil erosion areas that are difficult to artificially reshape after the seeds are placed.

[0073] Exemplarily, during the implementation process, in step S400, the calculation formula for the vegetation coverage rate of the target vegetation group under different seeding data is:

[0074]

[0075] in, The vegetation coverage of the target vegetation group under different seeding data; The weight coefficient of vegetation coverage when mixed planting of target vegetation groups; The number of planting intervals when mixed planting is for the target vegetation group; The number of planting ratios when mixed planting is for the target vegetation group; When planting mixed vegetation groups, Planting spacing, The vegetation coverage rate under the planting quantity ratio; The weight coefficient of vegetation coverage when planting in different areas for target vegetation groups; When planting in different areas for the target vegetation group, the number of planting intervals; When planting in different areas for the target vegetation group, the number of planting quantity ratios; When planting target vegetation groups, Planting spacing, The vegetation coverage rate under the planting quantity ratio.

[0076] Exemplarily, during the implementation process, in step S500, the process of obtaining the predicted value of soil and water loss data includes:

[0077] S501. Input the characteristic data of the vegetation species suitable for growing in the target area in the vegetation group to be planted into the digital twin model to obtain the predicted soil erosion area reduction rate, predicted erosion depth reduction rate and predicted erosion rate reduction rate of the vegetation species suitable for growing in the target area in the digital twin model;

[0078] S502. Calculate the predicted value of soil and water loss data based on the predicted soil and water loss area reduction rate, the predicted erosion depth reduction rate and the predicted erosion rate reduction rate.

[0079] Through the precise simulation of the digital twin model, the soil and water loss in the target area can be predicted more accurately after the vegetation species in the vegetation group to be planted are planted in the target area, thereby improving the accuracy of the prediction. At the same time, by selecting the vegetation group to be planted with the best predicted soil and water loss reduction effect, the soil and water conservation effect in the target area can be significantly improved, and the negative impact of soil and water loss on the ecological environment in the target area can be reduced.

[0080] Exemplarily, during the implementation process, in step S502, the calculation formula of the soil and water loss data prediction value is:

[0081]

[0082] in, The predicted value of soil and water loss data for the vegetation group to be planted; is the weight coefficient of the reduction rate of soil erosion area of ​​the vegetation group to be planted; The predicted soil erosion area reduction rate for the vegetation group to be planted; is the weight coefficient of the reduction rate of erosion depth of the vegetation group to be planted; is the predicted erosion depth reduction rate of the vegetation group to be planted; is the weight coefficient of the erosion rate reduction rate of the vegetation group to be planted; is the predicted erosion rate reduction rate of the vegetation community to be planted.

[0083] Embodiment 2,

[0084] This embodiment provides a control system based on soil erosion data, and the control system is used to implement the control method described in Example 1, such as Figure 2 As shown, it includes a first acquisition module, a construction module, a second acquisition module, a third acquisition module, a fourth acquisition module and a planting module.

[0085] The first acquisition module is used to execute step S100 to acquire the vegetation species in the target area and the vegetation species suitable for growing in the target area; the construction module is used to execute step S200 to construct the vegetation group to be tested according to the vegetation species in the target area and the vegetation species suitable for growing in the target area; the vegetation group to be tested includes all the vegetation species in the target area and at least one vegetation species suitable for growing in the target area; the second acquisition module is used to execute step S300 to acquire the stability data of each vegetation group to be tested in different soil erosion areas from historical data, and to obtain the stability data of the vegetation group to be tested that meets the preset stability data. The vegetation group is marked as the target vegetation group; the third acquisition module is used to execute step S400 to obtain the vegetation coverage rate of each target vegetation group under different sowing data from historical data, and mark the target vegetation group whose vegetation coverage rate meets the preset vegetation coverage rate as the vegetation group to be planted; the fourth acquisition module is used to execute step S500 to obtain the predicted value of soil and water loss data of the target area after the vegetation species suitable for growing in the target area in the vegetation group to be planted are planted in the target area; the planting module is used to execute step S600 to plant the vegetation species suitable for growing in the target area in the vegetation group to be planted with the largest predicted value of soil and water loss data in the target area.

[0086] Working principle: The present invention first screens out vegetation varieties suitable for growing in the target area, effectively reducing the workload of constructing the vegetation group to be tested and the number of vegetation groups to be tested, while ensuring the adaptability of a single vegetation variety. In addition, the present invention uses the stability data of the vegetation group to be tested in different soil and water loss areas to screen the vegetation group to be tested to obtain the target vegetation group. It effectively reduces the influence of the diversity of vegetation varieties in the vegetation group to be tested on the adaptability of individual vegetation types under the mixed planting mode. The present invention uses the vegetation coverage rate of the target vegetation group under different sowing data to screen the vegetation group to be tested to obtain the vegetation group to be planted. It effectively ensures the effect of the diversity change of vegetation varieties in the vegetation group to be planted on soil and water conservation. The present invention uses the predicted value of soil and water loss data of the target area after the vegetation varieties suitable for growing in the target area in the vegetation group to be planted are planted in the target area to screen the vegetation group to be planted. It effectively ensures the maximization of the soil and water conservation effect in the target area. At the same time, it effectively reduces the influence of the change of vegetation diversity on the environmental resilience of the soil and water loss area.

[0087] Although the present invention is described herein with reference to a number of illustrative embodiments of the present invention, it will be appreciated that those skilled in the art may devise many other modifications and implementations that fall within the scope and spirit of the principles disclosed herein. More specifically, within the scope of the present disclosure, drawings, and claims, a variety of variations and improvements may be made to the components and / or layout of the subject combination layout. In addition to variations and improvements made to the components and / or layout, other uses will also be apparent to those skilled in the art.

Claims

1. A control method based on soil and water loss data, characterized in that: The following operations are included: Obtain vegetation species in the target area and vegetation species suitable for growing in the target area; Based on the vegetation species in the target area and the vegetation species suitable for growing in the target area, construct a vegetation group to be tested; wherein the vegetation group to be tested includes all the vegetation species in the target area and at least one vegetation species suitable for growing in the target area; Obtaining stability data of each vegetation group to be tested in different soil erosion areas from historical data, and marking the vegetation group to be tested whose stability data meets the preset stability data as the target vegetation group; The vegetation coverage rate of each target vegetation group under different seeding data is obtained from historical data, and the target vegetation group whose vegetation coverage rate meets the preset vegetation coverage rate is marked as the vegetation group to be planted; Obtaining the predicted value of soil and water loss data of the target area after the vegetation species suitable for growing in the target area are planted in the target area; The vegetation species suitable for growing in the target area among the vegetation groups to be planted with the largest predicted value of soil and water loss data are planted in the target area.

2. The control method according to claim 1, characterized in that: The process of acquiring vegetation species suitable for growing in the target area includes: Build a digital twin model of the target area; Input the characteristic data of the vegetation varieties into the digital twin model to obtain the predicted survival rate, predicted average root growth rate and predicted average crown width growth rate of the vegetation varieties in the digital twin model; wherein the characteristic data of the vegetation varieties include suitable soil types and climatic conditions; The fitness of the vegetation varieties is calculated based on the predicted survival rate, predicted average root growth rate and predicted average crown width growth rate of the vegetation varieties, and the vegetation varieties whose fitness meets the preset fitness are marked as vegetation varieties suitable for growing in the target area.

3. The control method according to claim 1, characterized in that: The process of obtaining stability data of the vegetation group to be tested in different soil erosion areas includes: Obtain the survival rate, average root growth rate and average crown growth rate of each vegetation species in different soil and water loss areas; Based on the survival rate, average root growth rate and average crown width growth rate of each vegetation species in the vegetation group to be tested, the stability data of the vegetation group to be tested is calculated.

4. The control method according to claim 3, characterized in that: The calculation formula for the stability data of the vegetation group to be tested is: ； in, is the stability data of the vegetation group to be tested; is the weight coefficient of the survival rate of the vegetation group to be tested; is the number of vegetation species in the planting group to be tested; is the number of soil erosion areas; The vegetation group to be tested is The vegetation species in Survival rate in soil erosion areas; is the weight coefficient of the average root growth rate of the vegetation group to be tested; The vegetation group to be tested is The vegetation species in Average root growth rate in a soil erosion area; is the weight coefficient of the average crown width growth rate of the vegetation group to be tested; The vegetation group to be tested is The vegetation species in The average crown width growth rate in the soil erosion area.

5. The control method according to claim 1, characterized in that: The sowing data includes a number of sowing indicators, and the sowing indicators at least include planting method, planting spacing and planting quantity ratio; Wherein, there is at least one seeding index difference among the target vegetation groups under different seeding data, and the vegetation coverage rate of the target vegetation groups under the different seeding data is calculated.

6. The control method according to claim 5, characterized in that: The calculation formula of the vegetation coverage rate of the target vegetation group under different seeding data is: ； in, The vegetation coverage of the target vegetation group under different seeding data; The weight coefficient of vegetation coverage when mixed planting of target vegetation groups; The number of planting intervals when mixed planting is for the target vegetation group; The number of planting ratios when mixed planting is for the target vegetation group; When planting mixed vegetation groups, Planting spacing, The vegetation coverage rate under the planting quantity ratio; The weight coefficient of vegetation coverage when planting in different areas for target vegetation groups; When planting in different areas for the target vegetation group, the number of planting intervals; When planting in different areas for the target vegetation group, the number of planting quantity ratios; When planting target vegetation groups, Planting spacing, The vegetation coverage rate under the planting quantity ratio.

7. The control method according to claim 2, characterized in that: The process of obtaining the predicted value of soil and water loss data includes: Input the characteristic data of the vegetation species suitable for growing in the target area in the vegetation group to be planted into the digital twin model to obtain the predicted soil and water loss area reduction rate, predicted erosion depth reduction rate and predicted erosion rate reduction rate of the vegetation species suitable for growing in the target area in the digital twin model; The predicted value of soil and water loss data is calculated based on the predicted reduction rate of soil and water loss area, the predicted reduction rate of erosion depth and the predicted reduction rate of erosion rate.

8. The control method according to claim 7, characterized in that: The calculation formula for the predicted value of soil erosion data is: ； in, The predicted value of soil and water loss data for the vegetation group to be planted; is the weight coefficient of the reduction rate of soil erosion area of ​​the vegetation group to be planted; The predicted reduction rate of soil erosion area for the vegetation group to be planted; is the weight coefficient of the reduction rate of erosion depth of the vegetation group to be planted; is the predicted erosion depth reduction rate of the vegetation group to be planted; is the weight coefficient of the erosion rate reduction rate of the vegetation group to be planted; is the predicted erosion rate reduction rate of the vegetation community to be planted.

9. A control system based on soil and water loss data, characterized in that: The control system is used to implement the control method according to any one of claims 1 to 8, comprising: A first acquisition module, the first acquisition module is used to acquire vegetation species in the target area and vegetation species suitable for growing in the target area; A construction module, wherein the construction module is used to construct a vegetation group to be tested according to the vegetation species in the target area and the vegetation species suitable for growing in the target area; wherein the vegetation group to be tested includes all the vegetation species in the target area and at least one vegetation species suitable for growing in the target area; A second acquisition module, the second acquisition module is used to obtain stability data of each vegetation group to be tested in different soil and water loss areas from historical data, and mark the vegetation group to be tested whose stability data meets the preset stability data as the target vegetation group; A third acquisition module, the third acquisition module is used to obtain the vegetation coverage rate of each target vegetation group under different seeding data from historical data, and mark the target vegetation group whose vegetation coverage rate meets the preset vegetation coverage rate as the vegetation group to be planted; A fourth acquisition module, the fourth acquisition module is used to obtain the predicted value of soil and water loss data of the target area after the vegetation species suitable for growing in the target area in the vegetation group to be planted are planted in the target area; The planting module is used to plant the vegetation species suitable for growing in the target area among the vegetation groups to be planted with the largest soil and water loss data prediction value in the target area.

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