Soil vegetation restoration and ecological reconstruction method

Abstract

The invention discloses a soil vegetation restoration and ecological reconstruction method, and relates to the technical field of ecological reconstruction management. The method comprises the following steps: collecting and analyzing drip irrigation execution evaluation related parameters of a target ecological reconstruction field, judging whether drip irrigation is executed on the target ecological reconstruction field, and counting and analyzing drip irrigation effect evaluation related parameters in a mulching film of the target ecological reconstruction field in real time; and performing drip irrigation optimization on the target ecological reconstruction field based on the analysis result. According to the method, the temperature difference inside and outside the film of the target ecological reconstruction field is collected, so that self-adaptive temperature control driving optimization is performed on the target ecological reconstruction field according to the temperature difference inside and outside the film of the target ecological reconstruction field and the drip irrigation execution evaluation value of the target ecological reconstruction field, and the effect of improving the stability of soil vegetation recovery and ecological reconstruction is achieved; the problem that in the prior art, stability of soil vegetation recovery and ecological reconstruction is insufficient is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of ecological reconstruction management, and in particular to a method for soil vegetation restoration and ecological reconstruction. Background Art

[0002] As global environmental problems become increasingly prominent, the theory and practical application of ecological reconstruction on slope mines have received widespread attention. Soil environmental restoration will also promote vegetation growth and accelerate vegetation recovery and succession.

[0003] The method of soil vegetation restoration and ecological reconstruction on existing slope mines is achieved by protecting existing vegetation, repairing or rebuilding destroyed or damaged forests and other natural ecosystems, and restoring their biodiversity and ecological functions.

[0004] For example, the invention patent with announcement number: CN115860434B discloses a vegetation restoration planning method and device based on the carrying capacity of soil water resources, including: constructing a vegetation symbiosis relationship knowledge graph corresponding to the target area according to the regional soil parameters of the target area; determining a target triple set whose symbiosis parameters meet preset conditions; determining multiple target vegetation types corresponding to the target area according to the closed-loop relationship formed by the target triple set in the vegetation symbiosis relationship knowledge graph; and determining the vegetation restoration planning result of the target area.

[0005] For example, the invention patent with publication number CN119784112A discloses a method for evaluating the coupling coordination of vegetation and soil in the process of mine ecological restoration, which includes: collecting monitoring data and related data of vegetation and soil in the process of mine ecological restoration, and preprocessing the monitoring data and related data; performing time-varying screening on the monitoring data to obtain time-varying data, and performing coupling coordination analysis on the time-varying data to obtain coordination data; objectively weighting the time-varying data according to the resilience to obtain a weight coefficient, and constructing a vegetation and soil coupling coordination evaluation model according to the coordination data and the weight coefficient; optimizing the vegetation and soil coupling coordination evaluation model according to the related data, inputting the data to be evaluated into the vegetation and soil coupling coordination evaluation model, and outputting the evaluation results.

[0006] However, in the process of implementing the technical solutions of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] In the existing technology, the "film covering + drip irrigation" combination technology is used in mine ecological restoration. In actual drip irrigation control, it will be affected by geography and environment. Therefore, the existing mine ecological restoration has the problem of insufficient flexibility of drip irrigation, which leads to insufficient stability of soil vegetation recovery and ecological reconstruction. Summary of the Invention

[0008] The embodiments of the present application provide a method for soil vegetation restoration and ecological reconstruction, thereby solving the problem of insufficient stability of drip irrigation in the prior art and achieving the effect of improving the stability of drip irrigation.

[0009] An embodiment of the present application provides a soil vegetation restoration and ecological reconstruction method, comprising the following steps: obtaining a soil vegetation restoration and ecological reconstruction regional map, locating the drip irrigation area therefrom, zoning the drip irrigation area to obtain a number of target ecological reconstruction fields, collecting parameters related to drip irrigation execution evaluation of the target ecological reconstruction fields for analysis, and determining whether to perform drip irrigation on the target ecological reconstruction fields; if drip irrigation is performed, collecting the temperature difference between inside and outside the film of the target ecological reconstruction fields, and performing adaptive temperature control drive optimization on the target ecological reconstruction fields; after the temperature control drive optimization, performing statistical analysis on geographical evaluation parameters of the target ecological reconstruction fields, and performing initial settings on the drip irrigation of the target ecological reconstruction fields; performing real-time statistical analysis on parameters related to drip irrigation effect evaluation within the ground film of the target ecological reconstruction fields, and performing drip irrigation optimization on the target ecological reconstruction fields based on the analysis results.

[0010] Furthermore, the relevant parameters for drip irrigation execution evaluation of the target ecological reconstruction field include leaf water potential, field water holding capacity and soil moisture evaporation-transpiration ratio; the relevant parameters for geographical evaluation of the target ecological reconstruction field include the height difference, slope and average daily solar radiation value of the target ecological reconstruction field; the relevant parameters for drip irrigation effect evaluation within the mulch film of the target ecological reconstruction field include field water holding capacity, water transpiration rate and irrigation uniformity coefficient.

[0011] Furthermore, relevant parameters of drip irrigation execution evaluation of target ecological reconstruction fields are collected for analysis. The specific analysis process is as follows: based on the relevant parameters of drip irrigation execution evaluation of target ecological reconstruction fields, the drip irrigation execution evaluation value of target ecological reconstruction fields is analyzed; the drip irrigation execution evaluation value of target ecological reconstruction fields is the quantitative data of drip irrigation execution evaluation based on leaf water potential, field water holding capacity and evaporation-transpiration ratio of soil moisture; the specific processing process is as follows: the leaf water potential, field water holding capacity and evaporation-transpiration ratio of soil moisture are proportionally verified with the corresponding critical values, the proportional verification results are coupled with the corresponding importance scores to obtain the drip irrigation execution evaluation value of target ecological reconstruction fields, and whether drip irrigation is to be executed on the target ecological reconstruction fields is determined according to the drip irrigation execution evaluation value of target ecological reconstruction fields.

[0012] Furthermore, whether drip irrigation should be performed on the target ecological reconstruction field is determined based on the drip irrigation execution evaluation value of the target ecological reconstruction field. The specific process is: the drip irrigation execution evaluation threshold of the target ecological reconstruction field is obtained from the database, the drip irrigation execution evaluation value of the target ecological reconstruction field is compared with the drip irrigation execution evaluation threshold of the target ecological reconstruction field, and whether drip irrigation should be performed on the target ecological reconstruction field is determined based on the threshold comparison result; if the drip irrigation execution evaluation value of the target ecological reconstruction field is greater than the drip irrigation execution evaluation threshold of the target ecological reconstruction field, then it is determined that drip irrigation is required on the target ecological reconstruction field; if the drip irrigation execution evaluation value of the target ecological reconstruction field is less than or equal to the drip irrigation execution evaluation threshold of the target ecological reconstruction field, then it is determined that drip irrigation is not required on the target ecological reconstruction field.

[0013] Furthermore, the geographical assessment related parameters of the target ecological reconstruction field were statistically analyzed. The specific analysis process was as follows: the geographical assessment value of the target ecological reconstruction field was analyzed based on the geographical assessment related parameters of the target ecological reconstruction field; the geographical assessment value of the target ecological reconstruction field was the quantitative data of the impact of the height difference, slope and daily average solar radiation value of the target ecological reconstruction field on the initial setting of drip irrigation. The specific processing process was as follows: the height difference, slope and daily average solar radiation value of the target ecological reconstruction field were proportionally verified with the corresponding critical values, and the proportional verification result was coupled with the corresponding importance score to obtain the geographical assessment value of the target ecological reconstruction field.

[0014] Furthermore, the target ecological reconstruction field is adaptively temperature-controlled and driven by optimization, and the specific process is as follows: the difference between the drip irrigation execution evaluation value of the target ecological reconstruction field and the drip irrigation execution evaluation threshold of the target ecological reconstruction field is extracted, and the correction factor of the temperature control driving rate is matched based on the difference; the temperature difference between the inside and outside of the membrane of the target ecological reconstruction field is collected, and the positive temperature difference reference value and the negative temperature difference reference value of the membrane are obtained from the database. If the temperature difference between the inside and outside of the membrane is less than the negative temperature difference reference value, autonomous heat storage is performed, and the absolute difference between the temperature difference between the inside and outside of the membrane and the negative temperature difference reference value is extracted. The initial heat storage driving rate is mapped based on the absolute difference, and coupled with the correction factor of the temperature control driving rate to obtain the target heat storage driving rate for heat storage control; if the temperature difference between the inside and outside of the membrane is greater than the positive temperature difference reference value, autonomous heat release is performed, and the absolute difference between the temperature difference between the inside and outside of the membrane and the positive temperature difference reference value is extracted. The initial heat release driving rate is mapped based on the absolute difference, and coupled with the correction factor of the temperature control driving rate to obtain the target heat release driving rate for heat release control.

[0015] Furthermore, the drip irrigation of the target ecological reconstruction field is initially set up, and the specific process is as follows: extract the difference between the drip irrigation execution evaluation value of the target ecological reconstruction field and the drip irrigation execution evaluation threshold of the target ecological reconstruction field, and map the adjustment water pressure of the drip irrigation nozzle based on the difference; obtain the default execution water pressure of the drip irrigation nozzle, and add it to the adjustment water pressure of the drip irrigation nozzle to obtain the preliminary execution water pressure of the drip irrigation nozzle; extract the geographical evaluation value of the target ecological reconstruction field, match the correction factor of the drip irrigation nozzle water pressure, and couple it with the preliminary execution water pressure of the drip irrigation nozzle to obtain the final execution water pressure of the drip irrigation nozzle, thereby completing the initial setting of the drip irrigation of the target ecological reconstruction field.

[0016] Furthermore, relevant parameters for evaluation of drip irrigation effects within mulch film of target ecological reconstruction fields are statistically analyzed in real time. The specific analysis process is: based on the relevant parameters for evaluation of drip irrigation effects within mulch film of target ecological reconstruction fields, the evaluation value of drip irrigation effects within mulch film of target ecological reconstruction fields is analyzed; the evaluation value of drip irrigation effects within mulch film of target ecological reconstruction fields is the quantitative data of the joint effects of field water holding capacity, water transpiration rate and irrigation uniformity coefficient on drip irrigation effects; the specific processing process is: the field water holding capacity, water transpiration rate and irrigation uniformity coefficient are proportionally verified with the corresponding verification values, the proportional verification results are coupled with the corresponding importance scores to obtain the evaluation value of drip irrigation effects within mulch film of target ecological reconstruction fields, and drip irrigation optimization is performed on the target ecological reconstruction fields according to the evaluation value of drip irrigation effects within mulch film of target ecological reconstruction fields.

[0017] Furthermore, drip irrigation optimization is performed on the target ecological reconstruction field according to the evaluation value of the drip irrigation effect within the mulch film of the target ecological reconstruction field. The specific optimization measures are: obtaining the evaluation threshold of the drip irrigation effect within the mulch film of the target ecological reconstruction field from the database; if the evaluation value of the drip irrigation effect within the mulch film of the target ecological reconstruction field is greater than or equal to the evaluation threshold of the drip irrigation effect within the mulch film of the target ecological reconstruction field, then there is no need to perform drip irrigation optimization on the target ecological reconstruction field; if the evaluation value of the drip irrigation effect within the mulch film of the target ecological reconstruction field is less than the evaluation threshold of the drip irrigation effect within the mulch film of the target ecological reconstruction field, then it is determined that drip irrigation optimization is performed on the target ecological reconstruction field. The specific optimization process is: extracting the evaluation value of the drip irrigation effect within the mulch film of the target ecological reconstruction field and the evaluation value of the drip irrigation effect within the mulch film of the target ecological reconstruction field The difference between the evaluation thresholds of drip irrigation effect within the mulch of the field is recorded as the optimization reference value; the real-time optimization adjustment water pressure is mapped based on the optimization reference value; the current execution water pressure is obtained and added to the real-time optimization adjustment water pressure to obtain the target optimization execution water pressure; the target optimization execution water pressure is compared with the final execution critical water pressure. If the target optimization execution water pressure is less than the final execution critical water pressure, the water pressure is controlled according to the target optimization execution water pressure; if the target optimization execution water pressure is equal to the final execution critical water pressure, the water pressure is controlled according to the final execution critical water pressure; if the target optimization execution water pressure is greater than the final execution critical water pressure, the water pressure is controlled according to the final execution critical water pressure, and the drip irrigation extension time optimization is performed simultaneously.

[0018] Furthermore, it also includes dynamic adjustment of the drainage system. The specific process is: summarizing the drip irrigation water volume and average drip irrigation speed of all target ecological reconstruction fields, processing to obtain the drip irrigation load values ​​of all target ecological reconstruction fields, and dynamically adjusting the working speed of the water pump of the drainage system according to the drip irrigation load values ​​of all target ecological reconstruction fields; obtaining the drip irrigation load threshold of the target ecological reconstruction field and the standard working speed of the water pump of the drainage system from the database, and comparing the drip irrigation load value of the target ecological reconstruction field with the drip irrigation load threshold of the target ecological reconstruction field; if the drip irrigation load value of the target ecological reconstruction field is greater than the drip irrigation load threshold of the target ecological reconstruction field, increase the working speed of the water pump of the drainage system; if the drip irrigation load value of the target ecological reconstruction field is less than or equal to the drip irrigation load threshold of the target ecological reconstruction field, the water pump of the drainage system operates at the standard working speed.

[0019] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0020] 1. By collecting the temperature difference between the inside and outside of the membrane of the target ecological reconstruction field, the target ecological reconstruction field is adaptively temperature-controlled and driven to optimize according to the temperature difference between the inside and outside of the membrane and the drip irrigation execution evaluation value of the target ecological reconstruction field. The adaptive temperature-controlled drive optimization can improve the effect of drip irrigation and reduce the evaporation rate of water, thereby achieving the effect of improving the stability of soil vegetation restoration and ecological reconstruction, and effectively solving the problem of insufficient stability of soil vegetation restoration and ecological reconstruction in the existing technology.

[0021] 2. By statistically analyzing the geographical assessment related parameters of the target ecological reconstruction field, the drip irrigation of the target ecological reconstruction field is initially set according to the drip irrigation execution evaluation value and the geographical assessment value of the target ecological reconstruction field. Different geographical environments have different height differences and slopes. Different initial settings are made for different geographical environments, thereby achieving the effect of water resource optimization.

[0022] 3. By real-time statistics of relevant parameters for evaluating the effect of drip irrigation within the mulch film of the target ecological reconstruction field, the target ecological reconstruction field is optimized for drip irrigation according to the evaluation value of the drip irrigation effect within the mulch film, thereby achieving the effect of improving the water utilization rate of drip irrigation.

[0023] 4. By summarizing the drip irrigation water volume and average drip irrigation speed of all target ecological reconstruction fields, the drip irrigation load values ​​of all target ecological reconstruction fields are obtained, and the water pump operating speed of the drainage system is dynamically adjusted according to the drip irrigation load values ​​of all target ecological reconstruction fields, thereby achieving the effect of dynamic balance of water resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1A flow chart of the soil vegetation restoration and ecological reconstruction method provided in the embodiments of the present application;

[0025] Figure 2 A schematic diagram of a process for adaptive temperature control drive optimization of a target ecological reconstruction field in the soil vegetation restoration and ecological reconstruction method provided in an embodiment of the present application;

[0026] Figure 3 This is a schematic diagram of the process of initially setting up drip irrigation for a target ecological reconstruction field in the soil vegetation restoration and ecological reconstruction method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] The embodiment of the present application solves the problem of insufficient stability of drip irrigation in the prior art by providing a method for soil vegetation restoration and ecological reconstruction. By collecting the temperature difference between the inside and outside of the membrane of the target ecological reconstruction field, the target ecological reconstruction field is adaptively temperature-controlled and driven according to the temperature difference between the inside and outside of the membrane of the target ecological reconstruction field and the drip irrigation execution evaluation value of the target ecological reconstruction field, thereby achieving the effect of improving the stability of drip irrigation.

[0028] The technical solution in the embodiment of the present application is to solve the above-mentioned problem of insufficient stability of drip irrigation. The overall idea is as follows:

[0029] By zoning the drip irrigation area, the relevant parameters of drip irrigation execution evaluation, terrain evaluation and drip irrigation effect evaluation in the target ecological reconstruction field were collected and analyzed. Based on the analysis results, the drip irrigation of the target ecological reconstruction field was optimized to achieve the effect of improving drip irrigation stability.

[0030] In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0031] like Figure 1 As shown, it is a flow chart of the soil vegetation restoration and ecological reconstruction method provided in an embodiment of the present application, and the method includes the following steps: obtaining a soil vegetation restoration and ecological reconstruction area map, locating the drip irrigation area therefrom, zoning the drip irrigation area, obtaining a number of target ecological reconstruction fields, collecting drip irrigation execution evaluation-related parameters of the target ecological reconstruction fields for analysis, and determining whether to perform drip irrigation on the target ecological reconstruction fields; if drip irrigation is performed, collecting the temperature difference between the inside and outside of the film of the target ecological reconstruction fields, and performing adaptive temperature control drive optimization on the target ecological reconstruction fields; after the temperature control drive optimization, statistically analyzing the geographical evaluation-related parameters of the target ecological reconstruction fields, and performing initial settings for the drip irrigation of the target ecological reconstruction fields; statistically analyzing the drip irrigation effect evaluation-related parameters within the ground film of the target ecological reconstruction fields in real time, and performing drip irrigation optimization on the target ecological reconstruction fields based on the analysis results.

[0032] Furthermore, the relevant parameters for drip irrigation execution evaluation of the target ecological reconstruction field include leaf water potential, field water holding capacity and soil moisture evaporation-transpiration ratio; the relevant parameters for geographical evaluation of the target ecological reconstruction field include the height difference, slope and average daily solar radiation value of the target ecological reconstruction field; the relevant parameters for drip irrigation effect evaluation within the mulch film of the target ecological reconstruction field include field water holding capacity, water transpiration rate and irrigation uniformity coefficient.

[0033] In this embodiment, leaf water potential refers to the potential energy state of water in plant leaf cells, reflecting the ability of water to move between cell sap and the external environment. It can be obtained by dynamically tracking water transport characteristics in combination with liquid flow monitoring (such as thermal diffusion probes).

[0034] Field capacity refers to the maximum water content that the soil can retain after gravity drainage, which can be directly obtained using a neutron moisture meter.

[0035] The evapotranspiration ratio of soil moisture refers to the ratio of actual evapotranspiration to potential evapotranspiration, which can be directly obtained through meteorological stations.

[0036] The height difference of the target ecological reconstruction field refers to the height difference between the top and the foot of the slope of the target ecological reconstruction field, which can be directly obtained through satellite data.

[0037] The slope of the target ecological reconstruction field refers to the surface inclination angle of the target ecological reconstruction field, which can be obtained by generating a slope raster map based on DEM data using the Slope tool of ArcGIS.

[0038] The average daily solar radiation value of the target ecological reconstruction field refers to the average total solar radiation received per unit area every day, which can be directly retrieved through meteorological station data.

[0039] The water transpiration rate refers to the amount of water transpired per unit leaf area per unit time, which can be directly measured by the LI-6400 photosynthetic meter.

[0040] The irrigation uniformity coefficient refers to the inverse of the standard deviation of flow at several preset sampling points in the target ecological reconstruction field. It reflects the spatial variation of soil moisture after irrigation and can be obtained using the multi-point sampling method.

[0041] Furthermore, relevant parameters of drip irrigation execution evaluation of target ecological reconstruction fields were collected for analysis. The specific analysis process was as follows: based on the relevant parameters of drip irrigation execution evaluation of target ecological reconstruction fields, the drip irrigation execution evaluation value of target ecological reconstruction fields was analyzed; the drip irrigation execution evaluation value of target ecological reconstruction fields was the quantitative data of drip irrigation execution evaluation based on leaf water potential, field water holding capacity and evaporation-transpiration ratio of soil moisture; the specific processing process was as follows: the leaf water potential, field water holding capacity and evaporation-transpiration ratio of soil moisture were proportionally verified with the corresponding critical values, and the proportional verification results were coupled with the corresponding importance scores to obtain the drip irrigation execution evaluation value of target ecological reconstruction fields.

[0042] In this embodiment, the specific method for obtaining the drip irrigation execution evaluation value of the target ecological reconstruction field is as follows:

[0043]

[0044] α1+α2+α3=1;

[0045] Wherein, EFV represents the drip irrigation implementation evaluation value of the target ecological reconstruction field, which is used to evaluate whether drip irrigation is needed in the target ecological reconstruction field; RHG represents leaf water potential; RHG0 represents the critical value of leaf water potential; α1 represents the importance score of leaf water potential; YJK represents the average field holding capacity; YJK0 represents the critical value of the average field holding capacity; α2 represents the importance score of the average field holding capacity; SZX represents the evapotranspiration ratio of soil moisture; SZX0 represents the critical value of the evapotranspiration ratio of soil moisture; and α3 represents the importance score of the evapotranspiration ratio of soil moisture.

[0046] The critical values ​​of leaf water potential, field water holding capacity and evaporation-transpiration ratio of soil moisture refer to the critical value of leaf water potential, the critical value of field water holding capacity and the critical value of evaporation-transpiration ratio of soil moisture.

[0047] Leaf water potential, field water holding capacity and evapotranspiration ratio constitute a closed-loop system of soil-plant-atmosphere water cycle: field water holding capacity (the upper limit of soil moisture) determines the evapotranspiration ratio (transpiration / evaporation ratio) by controlling the soil water supply capacity. Changes in the evapotranspiration ratio regulate leaf water potential through stomatal conductance. When the leaf water potential is too low, the stomatal closure is triggered and the transpiration rate decreases; and the negative feedback of leaf water potential in turn regulates the evapotranspiration ratio to form a dynamic balance.

[0048] When the system is running, a mapping table of importance scores is retrieved from the database. For example, the corresponding importance scores, such as the importance score of leaf water potential, the importance score of field water holding capacity, and the importance score of soil water evaporation ratio, are quickly extracted based on the current leaf water potential, field water holding capacity, and soil water evaporation ratio. This mapping table defines a clear set of association rules that converts the specific values ​​of leaf water potential, field water holding capacity, and soil water evaporation ratio into their corresponding importance scores. Under this mechanism, whether achieving a one-to-one precise match or a many-to-one relationship where multiple parameters are aggregated into a single weight, the dynamic acquisition of importance scores can be effectively achieved.

[0049] Furthermore, it is determined whether drip irrigation should be performed on the target ecological reconstruction field. The specific process is: the drip irrigation execution evaluation threshold of the target ecological reconstruction field is obtained from the database, the drip irrigation execution evaluation value of the target ecological reconstruction field is compared with the drip irrigation execution evaluation threshold of the target ecological reconstruction field, and whether drip irrigation should be performed on the target ecological reconstruction field is determined according to the threshold comparison result; if the drip irrigation execution evaluation value of the target ecological reconstruction field is greater than the drip irrigation execution evaluation threshold of the target ecological reconstruction field, then it is determined that drip irrigation is required for the target ecological reconstruction field; if the drip irrigation execution evaluation value of the target ecological reconstruction field is less than or equal to the drip irrigation execution evaluation threshold of the target ecological reconstruction field, then it is determined that drip irrigation is not required for the target ecological reconstruction field.

[0050] Furthermore, the geographical assessment related parameters of the target ecological reconstruction field were statistically analyzed. The specific analysis process was as follows: the geographical assessment value of the target ecological reconstruction field was analyzed based on the geographical assessment related parameters of the target ecological reconstruction field; the geographical assessment value of the target ecological reconstruction field was the quantitative data of the impact of the height difference, slope and daily average solar radiation value of the target ecological reconstruction field on the initial setting of drip irrigation. The specific processing process was as follows: the height difference, slope and daily average solar radiation value of the target ecological reconstruction field were proportionally verified with the corresponding critical values, and the proportional verification result was coupled with the corresponding importance score to obtain the geographical assessment value of the target ecological reconstruction field.

[0051] In this embodiment, the specific method for obtaining the geographical assessment value of the target ecological restoration field is:

[0052]

[0053] β1+β2+β3=1;

[0054] Where AFJ represents the geographical assessment value of the target ecological reconstruction field, which is used to evaluate the geographical condition of the target ecological reconstruction field; KYH represents the elevation difference of the target ecological reconstruction field; KYH0 represents the critical value of the elevation difference of the target ecological reconstruction field; β1 represents the importance score of the elevation difference of the target ecological reconstruction field; PUY represents the slope of the target ecological reconstruction field; PUY0 represents the critical value of the slope of the target ecological reconstruction field; β2 represents the importance score of the slope of the target ecological reconstruction field; CLV represents the average daily solar radiation value of the target ecological reconstruction field; CLV0 represents the critical value of the average daily solar radiation value of the target ecological reconstruction field; and β3 represents the importance score of the average daily solar radiation value of the target ecological reconstruction field.

[0055] The critical values ​​of the height difference, slope and daily average solar radiation value of the target ecological reconstruction field refer to the critical value of the height difference, the critical value of the slope and the critical value of the daily average solar radiation value of the target ecological reconstruction field, respectively.

[0056] Changes in elevation directly affect surface runoff velocity and erosion intensity. The gravitational potential energy caused by elevation difference is converted into kinetic energy, significantly increasing the shear force of water flow. The slope affects the spatial heterogeneity of solar radiation. The radiation difference causes the average daily evaporation on the sunny slope to be higher than that on the shady slope, and the effective radiation interception rate increases with increasing slope, significantly affecting the spatial pattern of soil moisture.

[0057] When the system is running, it retrieves a mapping table of importance scores from the database. For example, it quickly extracts the corresponding importance scores based on the elevation difference, slope, and average daily solar radiation values ​​of the target ecological reconstruction field. This mapping table defines a clear set of association rules that converts the specific values ​​of the elevation difference, slope, and average daily solar radiation values ​​of the target ecological reconstruction field into their corresponding importance scores. This mechanism effectively achieves dynamic acquisition of importance scores, whether achieving a one-to-one exact match or a many-to-one relationship where multiple parameters are aggregated into a single weight.

[0058] Furthermore, the target ecological reconstruction field is adaptively temperature-controlled and driven. The specific process is as follows: the difference between the drip irrigation execution evaluation value of the target ecological reconstruction field and the drip irrigation execution evaluation threshold of the target ecological reconstruction field is extracted, and the correction factor of the temperature control driving rate is matched based on the difference; the temperature difference between the inside and outside of the membrane of the target ecological reconstruction field (outside membrane temperature - inside membrane temperature) is collected, and the positive inside and outside membrane temperature difference reference value and the negative inside and outside membrane temperature difference reference value are obtained from the database. If the inside and outside membrane temperature difference is less than the negative inside and outside membrane temperature difference reference value, autonomous heat storage is performed, and the inside and outside membrane temperature difference and the negative inside and outside membrane temperature difference reference value are extracted. The absolute difference between the temperature difference between the inside and outside of the membrane and the reference value of the temperature difference between the inside and outside of the membrane is taken as the absolute difference, and the initial heat storage driving rate is mapped based on the absolute difference, and coupled with the correction factor of the temperature control driving rate to obtain the target heat storage driving rate for heat storage control; if the temperature difference between the inside and outside of the membrane is greater than the positive temperature difference reference value of the inside and outside of the membrane, autonomous heat release is performed, and the absolute difference between the temperature difference between the inside and outside of the membrane and the positive temperature difference reference value of the inside and outside of the membrane is extracted, and the initial heat release driving rate is mapped based on the absolute difference, and coupled with the correction factor of the temperature control driving rate to obtain the target heat release driving rate for heat release control.

[0059] In this embodiment, Figure 2A schematic flow chart of adaptive temperature control drive optimization for a target ecological reconstruction field in a soil vegetation restoration and ecological reconstruction method provided in an embodiment of the present application is provided. The difference between the drip irrigation execution evaluation value of the target ecological reconstruction field and the drip irrigation execution evaluation threshold of the target ecological reconstruction field is extracted, and a correction factor for the temperature control drive rate is matched based on the difference. The initial heat storage drive rate is mapped according to the difference between the temperature difference between the inside and outside of the membrane and the reference value of the positive temperature difference between the inside and outside of the membrane. The initial heat storage drive rate and the correction factor of the temperature control drive rate are coupled to obtain a target heat storage drive rate. The initial heat release drive rate is mapped according to the difference between the temperature difference between the inside and outside of the membrane and the reference value of the negative temperature difference between the inside and outside of the membrane. The initial heat release drive rate and the correction factor of the temperature control drive rate are coupled to obtain a target heat release drive rate.

[0060] Adaptive temperature control drive optimization is performed on the target ecological reconstruction field. During the drip irrigation process, the temperature difference between the inside and outside of the membrane will affect the water transpiration rate. If the temperature difference between the inside and outside of the membrane is too large, the water transpiration rate will increase, resulting in a worse drip irrigation effect. At this time, adaptive temperature control drive optimization needs to be performed to maintain the temperature difference between the inside and outside of the membrane in a balanced state and reduce the water transpiration rate.

[0061] Using the same heat storage or release rate under different temperature differences inside and outside the membrane will lead to a decrease in efficiency. The heat release or heat storage rate is obtained according to the difference between the temperature difference between the inside and outside of the membrane and the reference value of the temperature difference between the inside and outside of the rain film and the difference between the drip irrigation execution evaluation value of the target ecological reconstruction field and the drip irrigation execution evaluation threshold of the target ecological reconstruction field, rather than storing or releasing heat at a fixed rate. This can not only improve efficiency but also save resources.

[0062] The absolute difference between the membrane internal and external temperature difference and the negative membrane internal and external temperature difference reference value is extracted and recorded as the negative membrane internal and external temperature difference value. The mapping set between the negative membrane internal and external temperature difference value and the initial thermal storage driving rate is obtained from the database. The existing negative membrane internal and external temperature difference value is input into the mapping set to obtain the initial thermal storage driving rate.

[0063] The absolute difference between the temperature difference between the inside and outside of the membrane and the reference value of the temperature difference between the inside and outside of the forward membrane is extracted and recorded as the temperature difference between the inside and outside of the forward membrane. A mapping set between the temperature difference between the inside and outside of the forward membrane and the initial heat release driving rate is obtained from the database. The existing temperature difference between the inside and outside of the forward membrane is input into the mapping set to obtain the initial heat release driving rate.

[0064] In the constructed database, the correction factor of the temperature control driving rate is matched based on the drip irrigation execution evaluation difference, and a mapping set of the drip irrigation execution evaluation difference and the correction factor of the temperature control driving rate is obtained from the database. The drip irrigation execution evaluation difference is input into the mapping set to obtain the correction factor of the temperature control driving rate. The correction factor of the temperature control driving rate is increased to correct the temperature control driving rate, making the temperature control driving rate more accurate.

[0065] An initial heat release driving rate is mapped out based on the absolute difference, and coupled with a correction factor of the temperature control driving rate, wherein the coupling process is to multiply the initial heat release driving rate by the correction factor of the temperature control driving rate.

[0066] The specific measures for adjusting the heat storage rate or heat release rate are: deploying an embedded PLC controller, linking the soil heat flux plate and the radiator inverter through the Modbus protocol, and inputting the heat storage rate or heat release rate into the soil heat flux plate and the radiator inverter for direct adjustment.

[0067] The temperature difference threshold between the inside and outside of the membrane is obtained from the database. If the temperature difference between the inside and outside of the membrane is less than the temperature difference threshold, the heat storage or heat release process is terminated. If the temperature difference between the inside and outside of the membrane is greater than or equal to the temperature difference threshold, the heat storage or heat release process continues.

[0068] The reason for performing adaptive temperature control drive optimization when the temperature difference between the inside and outside of the membrane is less than the negative temperature difference reference value or the temperature difference between the inside and outside of the membrane is greater than the positive temperature difference reference value is: if adaptive temperature control drive optimization is performed when there is only a small temperature difference, adaptive temperature control drive optimization will be performed most of the day, increasing machine loss and cost, and the effect is negligible. However, if the temperature difference between the inside and outside of the membrane is less than the negative temperature difference reference value or the temperature difference between the inside and outside of the membrane is greater than the positive temperature difference reference value, adaptive temperature control drive optimization will be performed, so that each adaptive temperature control drive optimization can obtain obvious results, will not cause a burden on the machine, and will reduce costs.

[0069] Furthermore, the drip irrigation of the target ecological reconstruction field is initially set up, and the specific process is as follows: extract the difference between the drip irrigation execution evaluation value of the target ecological reconstruction field and the drip irrigation execution evaluation threshold of the target ecological reconstruction field, and map the adjustment water pressure of the drip irrigation nozzle based on the difference; obtain the default execution water pressure of the drip irrigation nozzle, and add it to the adjustment water pressure of the drip irrigation nozzle to obtain the preliminary execution water pressure of the drip irrigation nozzle; extract the geographical evaluation value of the target ecological reconstruction field, match the correction factor of the drip irrigation nozzle water pressure, and couple it with the preliminary execution water pressure of the drip irrigation nozzle to obtain the final execution water pressure of the drip irrigation nozzle, thereby completing the initial setting of the drip irrigation of the target ecological reconstruction field.

[0070] In this embodiment, Figure 3 A schematic diagram of the process for initially setting up drip irrigation for a target ecological reconstruction field in the soil vegetation restoration and ecological reconstruction method provided in an embodiment of the present application, wherein the adjustment water pressure of the drip irrigation nozzle is mapped based on the difference between the drip irrigation execution evaluation value of the target ecological reconstruction field and the drip irrigation execution evaluation threshold of the target ecological reconstruction field, the preliminary execution water pressure of the drip irrigation nozzle is obtained according to the adjustment water pressure of the drip irrigation nozzle and the default execution water pressure of the drip irrigation nozzle, and the final execution water pressure of the drip irrigation nozzle is obtained according to the correction factor of the drip irrigation nozzle water pressure.

[0071] The difference between the drip irrigation execution evaluation value of the target ecological reconstruction field and the drip irrigation execution evaluation threshold of the target ecological reconstruction field is extracted and recorded as the drip irrigation execution evaluation difference. The mapping set between the drip irrigation execution evaluation difference and the regulating water pressure of the drip irrigation nozzle is obtained from the database. The existing drip irrigation execution evaluation difference is input into the mapping set to obtain the regulating water pressure of the drip irrigation nozzle corresponding to the difference.

[0072] The initial execution water pressure is obtained by adding the default water pressure and the adjusted water pressure, and then the initial execution water pressure is coupled according to the correction factor. The coupling process is to multiply the correction factor by the initial execution water pressure to obtain the final execution water pressure.

[0073] The specific measures for adjusting the water pressure of drip irrigation nozzles are: installing high-precision pressure sensors in the drip irrigation system, monitoring pipeline pressure data in real time, uploading the data to the central control platform through wireless transmission modules (such as LoRa, NB-IoT), and inputting the final execution water pressure into the central control platform for direct adjustment.

[0074] If the final execution water pressure of the drip irrigation nozzle is greater than or equal to the final execution critical water pressure, the water pressure is controlled according to the final execution critical water pressure. If the evaluation value of the drip irrigation effect within the mulch film of the target ecological reconstruction field is less than the evaluation threshold of the drip irrigation effect within the mulch film of the target ecological reconstruction field, the drip irrigation time is extended. The specific process of extending the drip irrigation time is as follows: extract the pressure difference between the final execution water pressure of the drip irrigation nozzle and the final execution critical water pressure, record it as the water pressure pressure difference, obtain the mapping set of the water pressure pressure difference and the extended time of the drip irrigation from the database, input the current water pressure pressure difference into the mapping set, obtain the extended time of the drip irrigation, and input the extended time of the drip irrigation into the central control platform for direct adjustment.

[0075] Furthermore, relevant parameters for evaluation of drip irrigation effects within mulch film of target ecological reconstruction fields are collected in real time for analysis. The specific analysis process is as follows: based on relevant parameters for evaluation of drip irrigation effects within mulch film of target ecological reconstruction fields, evaluation values ​​of drip irrigation effects within mulch film of target ecological reconstruction fields are analyzed; evaluation values ​​of drip irrigation effects within mulch film of target ecological reconstruction fields are quantitative data on the influence of field water holding capacity, water transpiration rate and irrigation uniformity coefficient on drip irrigation effects; the specific processing process is as follows: proportional verification processing is performed on field water holding capacity, water transpiration rate and irrigation uniformity coefficient with corresponding verification values, and the proportional verification processing result is coupled with the corresponding importance score to obtain evaluation values ​​of drip irrigation effects within mulch film of target ecological reconstruction fields.

[0076] In this embodiment, the specific method for obtaining the evaluation value of the drip irrigation effect within the mulch film of the target ecological reconstruction field is as follows:

[0077]

[0078] γ1+γ2+γ3=1;

[0079] Wherein, RPY represents the evaluation value of the drip irrigation effect within the mulch film of the target ecological reconstruction field, which is used to evaluate the drip irrigation effect of the target ecological reconstruction field, YJK' represents the real-time field water holding capacity of the target ecological reconstruction field, YJK'0 represents the critical value of the real-time field water holding capacity of the target ecological reconstruction field, γ1 represents the importance score of the real-time field water holding capacity of the target ecological reconstruction field, CHK represents the water transpiration rate of the target ecological reconstruction field, CHK0 represents the critical value of the water transpiration rate of the target ecological reconstruction field, γ2 represents the importance score of the water transpiration rate of the target ecological reconstruction field, PYM represents the irrigation uniformity coefficient of the target ecological reconstruction field, PYM0 represents the critical value of the irrigation uniformity coefficient of the target ecological reconstruction field, and γ3 represents the importance score of the irrigation uniformity coefficient of the target ecological reconstruction field.

[0080] The critical values ​​of field water holding capacity, water transpiration rate and irrigation uniformity coefficient are the critical value of field water holding capacity, the critical value of water transpiration rate and the critical value of irrigation uniformity coefficient.

[0081] Field water holding capacity affects the transpiration rate of water by controlling water. When the field water holding capacity decreases, the transpiration rate will also decrease synchronously; the irrigation uniformity coefficient determines the spatial effectiveness of field water holding capacity. A decrease in the uniformity coefficient leads to a decrease in the effective field water holding capacity; and fluctuations in the transpiration rate will in turn affect the field water holding capacity consumption rate.

[0082] When the system is running, it retrieves a mapping table of importance scores from the database. For example, it quickly extracts the corresponding importance scores based on the current field water holding capacity, water transpiration rate, and irrigation uniformity coefficient of the target ecological reconstruction field. This mapping table defines a clear set of association rules that converts the specific values ​​of the field water holding capacity, water transpiration rate, and irrigation uniformity coefficient of the target ecological reconstruction field into their corresponding importance scores. This mechanism effectively achieves dynamic acquisition of importance scores, whether achieving a one-to-one precise match or a many-to-one relationship where multiple parameters are aggregated into a single weight.

[0083] Furthermore, drip irrigation optimization is performed on the target ecological reconstruction field according to the evaluation value of the drip irrigation effect within the mulch film of the target ecological reconstruction field. The specific optimization measures are: obtaining the evaluation threshold of the drip irrigation effect within the mulch film of the target ecological reconstruction field from the database; if the evaluation value of the drip irrigation effect within the mulch film of the target ecological reconstruction field is greater than or equal to the evaluation threshold of the drip irrigation effect within the mulch film of the target ecological reconstruction field, then there is no need to perform drip irrigation optimization on the target ecological reconstruction field; if the evaluation value of the drip irrigation effect within the mulch film of the target ecological reconstruction field is less than the evaluation threshold of the drip irrigation effect within the mulch film of the target ecological reconstruction field, then it is determined that drip irrigation optimization is performed on the target ecological reconstruction field. The specific optimization process is: extracting the evaluation value of the drip irrigation effect within the mulch film of the target ecological reconstruction field and the evaluation value of the drip irrigation effect within the mulch film of the target ecological reconstruction field The difference between the evaluation thresholds of drip irrigation effect within the mulch of the field is recorded as the optimization reference value; the real-time optimization adjustment water pressure is mapped based on the optimization reference value; the current execution water pressure is obtained and added to the real-time optimization adjustment water pressure to obtain the target optimization execution water pressure; the target optimization execution water pressure is compared with the final execution critical water pressure. If the target optimization execution water pressure is less than the final execution critical water pressure, the water pressure is controlled according to the target optimization execution water pressure; if the target optimization execution water pressure is equal to the final execution critical water pressure, the water pressure is controlled according to the final execution critical water pressure; if the target optimization execution water pressure is greater than the final execution critical water pressure, the water pressure is controlled according to the final execution critical water pressure, and the drip irrigation extension time optimization is performed simultaneously.

[0084] In this embodiment, the specific process of mapping the real-time optimized water pressure regulation based on the optimized reference value is: obtaining a mapping set between the optimized reference value and the real-time optimized water pressure regulation from the database, inputting the existing optimized reference value into the mapping set, and obtaining the real-time optimized water pressure regulation.

[0085] If the target optimized execution water pressure is greater than or equal to the final execution critical water pressure, the water pressure is controlled according to the final execution critical water pressure. If the evaluation value of the drip irrigation effect within the mulch film of the target ecological reconstruction field is less than the evaluation threshold of the drip irrigation effect within the mulch film of the target ecological reconstruction field, the drip irrigation time is extended. The specific process of extending the drip irrigation time is as follows: extract the pressure difference between the target optimized execution water pressure and the final execution critical water pressure, record it as the water pressure pressure difference, obtain the mapping set of the water pressure pressure difference and the extended time of the drip irrigation from the database, input the current water pressure pressure difference into the mapping set, obtain the extended time of the drip irrigation, and input the extended time of the drip irrigation into the central control platform for direct adjustment.

[0086] Furthermore, it also includes dynamic adjustment of the drainage system. The specific process is: summarizing the drip irrigation water volume and average drip irrigation speed of all target ecological reconstruction fields, processing to obtain the drip irrigation load values ​​of all target ecological reconstruction fields, and dynamically adjusting the working speed of the water pump of the drainage system according to the drip irrigation load values ​​of all target ecological reconstruction fields; obtaining the drip irrigation load threshold of the target ecological reconstruction field and the standard working speed of the water pump of the drainage system from the database, and comparing the drip irrigation load value of the target ecological reconstruction field with the drip irrigation load threshold of the target ecological reconstruction field; if the drip irrigation load value of the target ecological reconstruction field is greater than the drip irrigation load threshold of the target ecological reconstruction field, increase the working speed of the water pump of the drainage system; if the drip irrigation load value of the target ecological reconstruction field is less than or equal to the drip irrigation load threshold of the target ecological reconstruction field, the water pump of the drainage system operates at the standard working speed.

[0087] In this embodiment, the numpy library in Python is called to normalize the drip irrigation water volume and average drip irrigation speed of the ecological reconstruction field.

[0088] The specific method for obtaining the drip irrigation load value of all target ecological reconstruction fields is as follows:

[0089]

[0090] Where RYL represents the drip irrigation load value of all target ecological reconstruction fields, which is used to evaluate the impact of drip irrigation on the drainage system load of all target ecological reconstruction fields. i = 1, 2, 3, ..., a, a represents the total number of target ecological reconstruction fields, and UL i It is represented by the drip irrigation water volume of the i-th target ecological reconstruction field, ε1 represents the importance score of the drip irrigation water volume of the target ecological reconstruction field, KP i represents the average drip irrigation rate of the i-th target ecological reconstruction field, and ε2 represents the importance score of the average drip irrigation rate of the target ecological reconstruction field.

[0091] When the system is running, it retrieves a mapping table of importance scores from the database. For example, it can quickly extract the corresponding importance scores based on the current drip irrigation volume and average drip irrigation rate of the target ecological reconstruction field. This mapping table defines a clear set of association rules that converts the specific values ​​of the drip irrigation volume and average drip irrigation rate of the target ecological reconstruction field into their corresponding importance scores. This mechanism effectively achieves dynamic acquisition of importance scores, whether achieving a one-to-one exact match or a many-to-one relationship where multiple parameters are aggregated into a single weight.

[0092] Drip irrigation water volume refers to the total amount of water delivered to the field soil through the drip irrigation system per unit time, which can be directly obtained through a flow meter.

[0093] The average drip irrigation rate refers to the amount of water received by a unit area of ​​soil per unit time, which can be obtained through a flow meter.

[0094] The specific steps for increasing the operating speed of the water pump in the drainage system are as follows: extract the difference between the drip irrigation load value of the target ecological reconstruction field and the drip irrigation load threshold of the target ecological reconstruction field, record it as the drip irrigation load difference, obtain a mapping set of the drip irrigation load difference and the water pump operating speed from the database, input the current drip irrigation load difference into the mapping set to obtain the water pump operating speed, and input the water pump operating speed into the central control system for automatic adjustment.

[0095] Based on the PID control algorithm, the system uses a pressure sensor to collect real-time pipeline pressure signals as primary feedback. Combined with instantaneous flow data provided by the electromagnetic flowmeter, this system constructs a pressure-flow coupling model and dynamically calculates the inverter output frequency. The specific regulation logic is as follows: The PID controller performs proportional-integral-differential calculations on the deviation between the setpoint and actual pressure value, while introducing flow feedforward compensation to eliminate dynamic lag. Ultimately, it outputs a control signal via the Modbus protocol to drive the pump inverter, achieving precise control of pipeline pressure fluctuations and flow response time.

[0096] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0097] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0098] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0099] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0100] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0101] Obviously, those skilled in the art may make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, if such modifications and variations fall within the scope of the claims and their equivalents, the present invention is intended to include such modifications and variations.

Claims

1. A soil vegetation restoration and ecological reconstruction method, characterized in that: The following steps are involved: Obtain a regional map of soil vegetation restoration and ecological reconstruction, locate drip irrigation areas from it, divide the drip irrigation areas into zones, obtain several target ecological reconstruction fields, collect and analyze parameters related to drip irrigation implementation assessment for the target ecological reconstruction fields, and determine whether to implement drip irrigation in the target ecological reconstruction fields; If drip irrigation is implemented, the temperature difference between the inside and outside of the membrane of the target ecological reconstruction field is collected, and adaptive temperature control drive optimization is performed on the target ecological reconstruction field; After temperature control drive optimization, the geographical assessment related parameters of the target ecological reconstruction field were statistically analyzed, and the drip irrigation of the target ecological reconstruction field was initially set; The relevant parameters for evaluating the effect of drip irrigation within the mulch film of the target ecological reconstruction field are analyzed in real time, and drip irrigation optimization is performed on the target ecological reconstruction field based on the analysis results.

2. The soil vegetation restoration and ecological reconstruction method according to claim 1, characterized in that: The parameters related to drip irrigation implementation evaluation in the target ecological restoration field include leaf water potential, field capacity and evapotranspiration ratio of soil moisture; The geographical assessment related parameters of the target ecological reconstruction field include the height difference, slope and daily average solar radiation value of the target ecological reconstruction field; The parameters related to the evaluation of the drip irrigation effect within the mulch film of the target ecological reconstruction field include field water holding capacity, water transpiration rate and irrigation uniformity coefficient.

3. The soil vegetation restoration and ecological reconstruction method according to claim 1, characterized in that: The drip irrigation execution evaluation related parameters of the target ecological reconstruction field are collected and analyzed. The specific analysis process is as follows: Analyze the drip irrigation implementation evaluation value of the target ecological reconstruction field based on the drip irrigation implementation evaluation related parameters of the target ecological reconstruction field; The drip irrigation execution evaluation value of the target ecological reconstruction field is quantitative data for drip irrigation execution evaluation based on leaf water potential, field water holding capacity and evaporation-transpiration ratio of soil moisture. The specific processing process is: performing proportional verification processing on leaf water potential, field water holding capacity and evaporation-transpiration ratio of soil moisture and corresponding critical values, coupling the proportional verification processing result with the corresponding importance score to obtain the drip irrigation execution evaluation value of the target ecological reconstruction field, and judging whether to execute drip irrigation on the target ecological reconstruction field according to the drip irrigation execution evaluation value of the target ecological reconstruction field.

4. The soil vegetation restoration and ecological reconstruction method according to claim 3, characterized in that: The specific process of determining whether to implement drip irrigation on the target ecological reconstruction field according to the drip irrigation implementation evaluation value of the target ecological reconstruction field is as follows: Obtaining a drip irrigation execution assessment threshold of a target ecological reconstruction field from a database, performing a threshold comparison between the drip irrigation execution assessment value of the target ecological reconstruction field and the drip irrigation execution assessment threshold of the target ecological reconstruction field, and determining whether to execute drip irrigation on the target ecological reconstruction field according to the threshold comparison result; If the drip irrigation execution evaluation value of the target ecological reconstruction field is greater than the drip irrigation execution evaluation threshold of the target ecological reconstruction field, it is judged that drip irrigation is required for the target ecological reconstruction field. If the drip irrigation execution evaluation value of the target ecological reconstruction field is less than or equal to the drip irrigation execution evaluation threshold of the target ecological reconstruction field, it is judged that drip irrigation is not required for the target ecological reconstruction field.

5. The soil vegetation restoration and ecological reconstruction method according to claim 1, characterized in that: The statistical target ecological reconstruction fields are analyzed for geographic assessment related parameters. The specific analysis process is as follows: Analyze the geographical assessment value of the target ecological reconstruction field based on the geographical assessment related parameters of the target ecological reconstruction field; The geographical assessment value of the target ecological reconstruction field is quantitative data of the combined impact of the height difference, slope and daily average solar radiation value of the target ecological reconstruction field on the initial setting of drip irrigation. The specific processing process is: performing proportional verification processing on the height difference, slope and daily average solar radiation value of the target ecological reconstruction field and the corresponding critical value, and coupling the proportional verification processing result with the corresponding importance score to obtain the geographical assessment value of the target ecological reconstruction field.

6. The soil vegetation restoration and ecological reconstruction method according to claim 1, characterized in that: The specific process of adaptive temperature control drive optimization for the target ecological reconstruction field is as follows: Extracting the difference between the drip irrigation execution evaluation value of the target ecological reconstruction field and the drip irrigation execution evaluation threshold of the target ecological reconstruction field, and matching the correction factor of the temperature control driving rate based on the difference; The temperature difference between the inside and outside of the membrane in the target ecological reconstruction field is collected, and the positive and negative temperature difference reference values ​​are obtained from the database. If the temperature difference between the inside and outside of the membrane is less than the negative temperature difference reference value, autonomous heat storage is performed, and the absolute difference between the temperature difference between the inside and outside of the membrane and the negative temperature difference reference value is extracted. The initial heat storage driving rate is mapped based on this absolute difference, and coupled with the correction factor of the temperature control driving rate, the target heat storage driving rate is obtained for heat storage control; If the temperature difference between the inside and outside of the membrane is greater than the reference value of the temperature difference between the inside and outside of the positive membrane, autonomous heat release is performed, and the absolute difference between the temperature difference between the inside and outside of the membrane and the reference value of the temperature difference between the inside and outside of the positive membrane is extracted. The initial heat release driving rate is mapped based on the absolute difference, and coupled with the correction factor of the temperature control driving rate to obtain the target heat release driving rate for heat release control.

7. The soil vegetation restoration and ecological reconstruction method according to claim 1, characterized in that: The initial setting of drip irrigation for the target ecological reconstruction field is as follows: Extracting the difference between the drip irrigation execution evaluation value of the target ecological reconstruction field and the drip irrigation execution evaluation threshold of the target ecological reconstruction field, and mapping the regulated water pressure of the drip irrigation nozzle based on the difference; Obtain the default execution water pressure of the drip irrigation nozzle, and add it to the regulated water pressure of the drip irrigation nozzle to obtain the initial execution water pressure of the drip irrigation nozzle; The geographical assessment value of the target ecological reconstruction field is extracted, and the correction factor of the drip irrigation nozzle water pressure is matched. It is coupled with the preliminary execution water pressure of the drip irrigation nozzle to obtain the final execution water pressure of the drip irrigation nozzle, completing the initial setting of drip irrigation for the target ecological reconstruction field.

8. The soil vegetation restoration and ecological reconstruction method according to claim 1, characterized in that: The real-time statistics of the parameters related to the evaluation of drip irrigation effect in the target ecological reconstruction field are analyzed, and the specific analysis process is as follows: The evaluation value of drip irrigation effect within the mulch film of the target ecological reconstruction field was analyzed based on the relevant parameters of drip irrigation effect evaluation within the mulch film of the target ecological reconstruction field; The evaluation value of the drip irrigation effect within the film mulch of the target ecological reconstruction field is the quantitative data of the combined influence of field water holding capacity, water transpiration rate and irrigation uniformity coefficient on the drip irrigation effect. The specific processing process is: the field water holding capacity, water transpiration rate and irrigation uniformity coefficient are proportionally verified with the corresponding verification values, and the proportional verification result is coupled with the corresponding importance score to obtain the evaluation value of the drip irrigation effect within the film mulch of the target ecological reconstruction field. According to the evaluation value of the drip irrigation effect within the film mulch of the target ecological reconstruction field, drip irrigation optimization is performed on the target ecological reconstruction field.

9. The soil vegetation restoration and ecological reconstruction method according to claim 8, characterized in that: The drip irrigation optimization is performed on the target ecological reconstruction field according to the evaluation value of the drip irrigation effect within the mulch film of the target ecological reconstruction field. The specific optimization measures are: The evaluation threshold value of the drip irrigation effect within the mulch film of the target ecological reconstruction field is obtained from the database. If the evaluation value of the drip irrigation effect within the mulch film of the target ecological reconstruction field is greater than or equal to the evaluation threshold value of the drip irrigation effect within the mulch film of the target ecological reconstruction field, there is no need to perform drip irrigation optimization on the target ecological reconstruction field. If the evaluation value of the drip irrigation effect within the mulch film of the target ecological reconstruction field is less than the evaluation threshold value of the drip irrigation effect within the mulch film of the target ecological reconstruction field, it is determined that drip irrigation optimization is performed on the target ecological reconstruction field. The specific optimization process is as follows: the difference between the evaluation value of the drip irrigation effect within the mulch film of the target ecological reconstruction field and the evaluation threshold value of the drip irrigation effect within the mulch film of the target ecological reconstruction field is extracted and recorded as the optimization reference value. Based on the optimized reference value, the water pressure is optimized and adjusted in real time; Get the current execution water pressure and add it to the real-time optimized adjustment water pressure to get the target optimized execution water pressure; Compare the target optimization execution water pressure with the final execution critical water pressure. If the target optimization execution water pressure is less than the final execution critical water pressure, the water pressure is controlled according to the target optimization execution water pressure. If the target optimization execution water pressure is equal to the final execution critical water pressure, the water pressure is controlled according to the final execution critical water pressure. If the target optimization execution water pressure is greater than the final execution critical water pressure, the water pressure is controlled according to the final execution critical water pressure, and the drip irrigation extension time is optimized simultaneously.

10. The soil vegetation restoration and ecological reconstruction method according to claim 1, characterized in that: It also includes dynamic adjustment of the drainage system. The specific process is as follows: Summarize the drip irrigation water volume and average drip irrigation speed of all target ecological reconstruction fields, process them to obtain the drip irrigation load value of all target ecological reconstruction fields, and dynamically adjust the working speed of the water pump of the drainage system according to the drip irrigation load value of all target ecological reconstruction fields; The drip irrigation load threshold of the target ecological reconstruction field and the standard operating speed of the water pump of the drainage system are obtained from the database, and the drip irrigation load value of the target ecological reconstruction field is compared with the drip irrigation load threshold of the target ecological reconstruction field. If the drip irrigation load value of the target ecological reconstruction field is greater than the drip irrigation load threshold of the target ecological reconstruction field, the operating speed of the water pump of the drainage system is increased; if the drip irrigation load value of the target ecological reconstruction field is less than or equal to the drip irrigation load threshold of the target ecological reconstruction field, the water pump of the drainage system operates at the standard operating speed.

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