Ecological reconstruction device and optimization method based on rocky desertification treatment

Abstract

The application discloses an ecological reconstruction device and optimization method based on rocky desertification treatment, relates to the technical field of ecological environment treatment, and comprises an ecological parameter monitoring module, a central control and data module, an ecological restoration execution module and a post-maintenance guarantee module; the device can collect key ecological parameters such as rock exposure rate, vegetation coverage and soil fertility in real time by combining multi-dimensional monitoring equipment such as a high-definition remote sensing camera and a soil profile instrument, scientifically divides rocky desertification types and quantitatively evaluates community stability based on prestored historical rocky desertification data and a key tree species growth model, a rocky desertification type comprehensive determination formula and a community stability dynamic evaluation formula, breaks through the limitations of traditional technologies that rely on experience judgment, changes the rocky desertification treatment from extensive type to precision type, and can adjust instruction parameters in real time through a dynamic optimization coefficient formula, so that the restoration strategy is matched with the change of ecological parameters.

Description

Technical Field

[0001] This invention relates to the field of ecological environment governance technology, specifically to an ecological reconstruction device and optimization method based on rocky desertification control. Background Technology

[0002] Against the backdrop of current environmental changes and intensified human activities, the problem of rocky desertification has become increasingly prominent, becoming a major bottleneck restricting regional sustainable development and ecological security. Rocky desertification, also known as rocky desertification, mainly occurs in karst areas and is characterized by severe soil erosion, large-scale exposure of rocks, and a sharp decline in land productivity, which in turn leads to the degradation of ecosystem functions.

[0003] However, traditional rocky desertification control technologies often focus on single measures, such as afforestation and soil improvement. These methods often overlook the complexity and dynamic changes of rocky desertification areas, resulting in limited and unsustainable control effects. Specifically, they lack comprehensiveness and real-time monitoring of ecological parameters, often relying on manual surveys, making it difficult to obtain real-time and accurate information on changes in ecological parameters in rocky desertification areas. This makes it impossible to adjust control strategies in a timely manner. Furthermore, they lack scientific rigor and precision in the classification of rocky desertification types and the assessment of community stability, often relying on experience-based judgments. This leads to inaccurate classification of rocky desertification types and unscientific assessment of community stability, which in turn affects the effectiveness and relevance of control measures. Moreover, they lack flexibility and dynamic adjustment capabilities in the implementation of ecological restoration and subsequent maintenance and support, resulting in unstable and unsustainable control effects.

[0004] Therefore, it is necessary to develop ecological reconstruction devices and optimization methods based on rocky desertification control. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of existing technologies and provide an ecological reconstruction device and optimization method based on rocky desertification control. By combining high-definition remote sensing cameras, soil profilers, and other multi-dimensional monitoring equipment, this invention can collect key ecological parameters such as rock exposure rate, vegetation coverage, and soil fertility in real time. Based on pre-stored historical rocky desertification data and key tree species growth models, it scientifically classifies rocky desertification types and quantitatively assesses community stability through a comprehensive rocky desertification type determination formula and a dynamic evaluation formula for community stability. This breaks through the limitations of traditional technologies that rely on experience-based judgment, enabling rocky desertification control to shift from extensive to precise methods. Furthermore, through a dynamic optimization coefficient formula, command parameters can be adjusted in real time to ensure that the restoration strategy matches changes in ecological parameters, thereby improving the scientific nature of the control effect and the efficiency of resource utilization.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: On one hand, an ecological reconstruction device based on rocky desertification control, the device comprising:

[0007] Ecological parameter monitoring module: Equipped with a variety of monitoring devices, it collects ecological parameters of the karst area to be treated at a preset initial frequency to form initial data;

[0008] Central control and data module: preprocesses the initial collected data, combines the pre-stored historical rocky desertification data, key tree species growth models and basic operating threshold information to carry out multi-dimensional calculations, complete the classification of rocky desertification types, obtain community stability scores, generate initial operating instructions, continuously receive real-time collected data, and periodically optimize and evaluate the instructions;

[0009] Ecological restoration execution module: Equipped with vegetation planting equipment, drip irrigation system and substrate laying equipment, the execution device operates according to instructions to carry out restoration operations such as planting, drip irrigation and substrate laying, and adjusts the operation in a timely manner after receiving optimized instructions;

[0010] Post-maintenance support module: Equipped with pruning tools, fertilization equipment and maintenance devices, it works according to the post-maintenance plan, carries out routine maintenance and targeted maintenance operations, and compiles maintenance data into reports.

[0011] Furthermore, the ecological parameter monitoring module is equipped with a variety of monitoring devices, including a high-definition remote sensing camera, a soil profiler, a slope measuring instrument, a soil nutrient rapid tester, and a soil moisture sensor. Ecological parameters of the karst area to be treated are collected at a preset initial frequency: high-frequency collection for 10-15 days in the initial stage, with no less than 8 collections per day, covering basic parameters such as rock exposure rate, vegetation coverage, soil thickness, slope, soil fertility, and soil moisture content, as well as relevant data on tree species, including the number of different plants, tree height, and growth time.

[0012] Furthermore, the central control and data module preprocesses the initially collected data, combining it with pre-stored historical rocky desertification data of karst areas, key tree species growth models including theoretical tree height, and operational baseline thresholds including target values ​​for soil moisture content, annual tree height growth, vegetation coverage, soil fertility, rock exposure, and soil thickness. It then calculates a comprehensive rocky desertification type index using a comprehensive rocky desertification type determination formula, completing the rocky desertification type classification and recording the comprehensive rocky desertification index before treatment. Finally, based on data on plant numbers, tree height, and soil nutrients, it calculates the current community stability using a dynamic community stability evaluation formula. Qualitative scoring generates initial operational instructions based on the current community stability score. Combined with the results of rocky desertification type classification, community stability score, and key tree species growth models, a subsequent maintenance plan is generated, including the cycle of routine maintenance, specific operational standards, and execution requirements for targeted maintenance. Simultaneously, real-time ecological parameter data is continuously received to dynamically optimize and evaluate the initial instructions. The instruction optimization coefficient is calculated using the dynamic optimization coefficient formula. When the data of a certain basic parameter or tree species exceeds the basic operational threshold for three consecutive collections, the initial operational instructions are adjusted using the instruction optimization coefficient, and the basis for the adjustment and the content before and after the instruction are stored in the database.

[0013] Furthermore, the central control and data module calculates a comprehensive index of rocky desertification type using a comprehensive rocky desertification type determination formula, which is as follows: Among them, D i R is a comprehensive index of rocky desertification types. i R represents the measured rock exposure rate. max R represents the theoretical maximum value of rock exposure, taken as 100%. min V represents the theoretical minimum value of rock exposure, taken as 0%. i V represents the measured vegetation coverage. max V represents the theoretical maximum value of vegetation coverage, taken as 100%. min The theoretical minimum vegetation cover is 0%, and T is the value of 0%. i T represents the measured soil layer thickness. max The theoretical maximum soil layer thickness is 50 cm, T min The theoretical minimum soil layer thickness is 5cm. α, β, and γ are weighting coefficients used to measure the influence of rock exposure rate, vegetation coverage rate, and soil layer thickness on the determination of rocky desertification type.

[0014] According to the comprehensive index of rocky desertification type D i Classification of rocky desertification types: D i <0.2 indicates potential, 0.2≤D i <0.4 indicates mild severity, 0.4≤Di <0.6 is considered moderate, 0.6≤D i <0.8 indicates severe, D i A value ≥0.8 indicates extremely severe disease.

[0015] Furthermore, the central control and data module calculates the species diversity index S based on data on plant number, tree height, and soil nutrients. d The calculation formula is: Where, N k Let N be the number of plants of the k-th plant. 总 Let n be the total number of all plants and n be the number of plant species; calculate the community regeneration potential index S. r The calculation formula is: Where, N 幼苗 For the number of seedlings with a diameter at breast height (DBH) < 5 cm, N 林木 The number of trees with a diameter at breast height (DBH) ≥ 5 cm; calculate the forest land productivity index S. p The calculation formula is: Among them, H m t represents the actual tree height of the m-th critical tree species. m Let H be the growth time of the m-th critical tree species, q be the number of critical tree species individuals, and H be the growth time of the m-th critical tree species. 理 The theoretical tree height at the same time; calculate the soil fertility index S. f The calculation formula is: Among them, F N For soil nitrogen content, F P For soil phosphorus content, F K For soil potassium content, F 有机质 F represents the soil organic matter content. 标准 The soil fertility threshold is used as the reference point; then, the current community stability score is calculated using the dynamic evaluation formula for community stability: S = 0.25·S d +0.25·S r +0.25·S p +0.25·S f Where S is the current community stability score;

[0016] When S < 0.6, the initial running instructions are generated, which include the planting mode, tree planting density, drip irrigation frequency, and organic substrate laying.

[0017] Furthermore, the central control and data module calculates the instruction optimization coefficient using a dynamic optimization coefficient formula for repair instructions. The dynamic optimization coefficient formula for repair instructions is as follows: Among them, K j P is the instruction optimization factor. 目标P is the theoretical target value of the ecological parameter. 实测 The values ​​are the actual measured values ​​of real-time ecological parameters collected, and δ is the sensitivity coefficient;

[0018] When the data of a certain basic parameter or tree species exceeds the basic operating threshold for three consecutive times, the initial operating command is adjusted by the command optimization coefficient. The planting mode, key tree species planting density, drip irrigation frequency and organic substrate laying thickness in the initial command are adjusted accordingly. The maintenance plan is updated synchronously when the real-time data shows the changes in the repair effect.

[0019] Furthermore, the post-maintenance support module operates according to the post-maintenance plan, carrying out routine maintenance and targeted maintenance operations;

[0020] The routine maintenance includes: vegetation pruning during the non-peak growing season, avoiding the new bud sprouting period of key tree species, combining thinning and shortening of branches, controlling shrub height, and supplementing soil fertilizer according to the growth stage of tree species. In addition, facilities are inspected regularly, including the inspection, calibration and cleaning of drip irrigation equipment and planting equipment.

[0021] The targeted maintenance includes: regularly fertilizing rocky desertification areas; when the growth of key tree species is inhibited, loosening and aerating the soil around the roots of key tree species, laying topsoil, and adding antibacterial agents.

[0022] On the other hand, the ecological reconstruction optimization method based on rocky desertification control involves the following specific steps:

[0023] Ecological parameter monitoring: Equipped with a variety of monitoring devices, including high-definition remote sensing cameras, soil profilers, slope measuring instruments, soil nutrient rapid testers, and soil moisture sensors, the ecological parameters of the karst area to be treated are collected at a preset initial frequency to form initial data.

[0024] Central control and data: Preprocess the initial collected data, combine the pre-stored historical rocky desertification data, key tree species growth models and basic operating threshold information to carry out multi-dimensional calculations, complete the classification of rocky desertification types, obtain community stability scores, generate initial operating instructions, continuously receive real-time collected data, and periodically optimize and evaluate the instructions;

[0025] Ecological restoration execution: The execution device is equipped with vegetation planting equipment, drip irrigation system and substrate laying equipment. It operates according to instructions to carry out restoration operations such as planting, drip irrigation and substrate laying, and adjusts the operation in a timely manner after receiving optimized instructions;

[0026] Post-maintenance support: Equipped with pruning tools, fertilization equipment, and repair tools, the maintenance system operates according to the post-maintenance plan, carrying out routine and targeted maintenance operations, and compiling maintenance data into reports.

[0027] Compared with existing technologies, this ecological reconstruction device and optimization method based on rocky desertification control has the following beneficial effects:

[0028] I. This invention, by combining high-definition remote sensing cameras, soil profilers, and other multi-dimensional monitoring equipment, can collect key ecological parameters such as rock exposure rate, vegetation coverage, and soil fertility in real time. Based on pre-stored historical rocky desertification data and key tree species growth models, it scientifically classifies rocky desertification types and quantitatively assesses community stability through comprehensive rocky desertification type determination formulas and dynamic community stability evaluation formulas. This breaks through the limitations of traditional technologies that rely on experience-based judgments, enabling rocky desertification control to shift from extensive to precise methods. Furthermore, through dynamic optimization coefficient formulas, command parameters can be adjusted in real time to ensure that restoration strategies match changes in ecological parameters, thereby improving the scientific nature of control effects and resource utilization efficiency.

[0029] Second, this invention addresses the pain point of insufficient post-maintenance in traditional technologies through real-time monitoring, dynamic optimization, and long-term maintenance. By optimizing and evaluating initial instructions, when a certain ecological parameter (such as soil moisture content) exceeds the threshold three times consecutively, the invention automatically adjusts the planting mode, drip irrigation frequency, and other operations through instruction optimization coefficients, and simultaneously updates the post-maintenance plan, effectively addressing unexpected problems in the ecological restoration process. In addition, by statistically analyzing maintenance data and generating reports, the invention provides data support for long-term governance, reduces the risk of rocky desertification rebound, and ensures the long-term stability of ecological reconstruction.

[0030] Other advantages, objectives and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination or study, or may be learned from the practice of the invention. Attached Figure Description

[0031] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0032] Figure 1 A flowchart of an optimized ecological reconstruction method based on rocky desertification control;

[0033] Figure 2 A framework diagram of an ecological reconstruction device based on rocky desertification control;

[0034] Figure 3 This is a flowchart of the central control and data module in an ecological reconstruction device based on rocky desertification control. Detailed Implementation

[0035] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0036] Example 1:

[0037] Ecological parameter monitoring module: In a mildly desertified area of ​​gentle slope forest in a karst region, where rocks are sporadically exposed and a small number of native shrubs are present, with a thin soil layer but uneven vegetation cover, high-definition remote sensing cameras are deployed to photograph and monitor the vegetation cover and rock exposure across the entire area. Soil profilers detect the vertical structure of the soil layer at different slope positions, slope measuring instruments are fixed in the middle of the slope to record the terrain inclination, soil nutrient rapid testing instruments measure soil nutrient status, and soil moisture sensors monitor soil moisture. In the initial phase, high-frequency data is collected continuously for 12 days, 9 times per day, covering basic parameters such as rock exposure rate, vegetation cover rate, soil thickness, slope, soil fertility, and soil moisture content, as well as relevant data such as the number, height, and growth time of existing key tree species (such as locally common drought-resistant trees). Figure 1 As shown.

[0038] Central Control and Data Module: After preprocessing the collected initial data through screening and cleaning, it combines historical rocky desertification evolution data of the region, growth models of key tree species (including theoretical tree height parameters at different growth stages), and preset operational thresholds (covering target values ​​for soil moisture content, annual tree height growth, vegetation coverage, soil fertility, rock exposure, and soil thickness) to calculate a comprehensive rocky desertification type index using a comprehensive rocky desertification type determination formula. The comprehensive rocky desertification type determination formula is as follows: Among them, D i R is a comprehensive index of rocky desertification types. i R represents the measured rock exposure rate. max R represents the theoretical maximum value of rock exposure, taken as 100%. min V represents the theoretical minimum value of rock exposure, taken as 0%. i V represents the measured vegetation coverage. max V represents the theoretical maximum value of vegetation coverage, taken as 100%. min The theoretical minimum vegetation cover is 0%, and T is the value of 0%. i T represents the measured soil layer thickness. max The theoretical maximum soil layer thickness is 50 cm, T minThe theoretical minimum soil layer thickness is 5 cm. α, β, and γ are weighting coefficients used to measure the influence of rock exposure rate, vegetation coverage, and soil layer thickness on the determination of rocky desertification type, respectively. Based on the comprehensive rocky desertification type index D... i Classification of rocky desertification types: D i <0.2 indicates potential, 0.2≤D i <0.4 indicates mild severity, 0.4≤D i <0.6 is considered moderate, 0.6≤D i <0.8 indicates severe, D i A value of ≥0.8 indicates extremely severe desertification, and the area is classified as mild rocky desertification. The comprehensive rocky desertification index before treatment is recorded.

[0039] Based on the data on plant number, tree height, and soil nutrients, the species diversity index S is calculated. d The calculation formula is: Where, N k Let N be the number of plants of the k-th plant. 总 Let n be the total number of all plants and n be the number of plant species; calculate the community regeneration potential index S. r The calculation formula is: Where, N 幼苗 For the number of seedlings with a diameter at breast height (DBH) < 5 cm, N 林木 The number of trees with a diameter at breast height (DBH) ≥ 5 cm; calculate the forest land productivity index S. p The calculation formula is: Among them, H m t represents the actual tree height of the m-th critical tree species. m Let H be the growth time of the m-th critical tree species, q be the number of critical tree species individuals, and H be the growth time of the m-th critical tree species. 理 The theoretical tree height at the same time; calculate the soil fertility index S. f The calculation formula is: Among them, F N For soil nitrogen content, F P For soil phosphorus content, F K For soil potassium content, F 有机质 F represents the soil organic matter content. 标准 This represents the soil fertility threshold.

[0040] The current community stability score is then calculated using the dynamic evaluation formula for community stability: S = 0.25·S d +0.25·S r +0.25·S p +0.25·S fWhere S represents the current community stability score. Since the current community stability score is below 0.6, the initial operation instructions are generated as follows: adopt the planting model of "native tree species conservation + companion shrub replanting", replant native shrubs at an appropriate density, dynamically set the frequency of the drip irrigation system according to soil moisture to ensure stable root zone moisture, lay improved organic substrate around exposed rock areas to promote natural vegetation spread, and generate a post-maintenance plan based on the rocky desertification type and community stability score: the regular maintenance cycle is once every 2 months, and pruning and thinning are carried out during the season when tree growth is slow. Excessive branch density and excessively long branches should be pruned to maintain a reasonable crown shape. Appropriate fertilizer ratios should be applied according to the tree species' growth stage. Drip irrigation and planting equipment should be regularly inspected, calibrated, and cleaned. Targeted maintenance is set as follows: if key tree species show leaf wilting or low growth rate, a special nutrient solution should be added to their root zone, and the surrounding soil should be loosened and aerated. Simultaneously, real-time ecological parameter data should be continuously received, and initial instructions should be dynamically optimized and evaluated. The instruction optimization coefficient is calculated using the dynamic optimization coefficient formula for repair instructions. The dynamic optimization coefficient formula for repair instructions is as follows: Among them, K j P is the instruction optimization factor. 目标 P is the theoretical target value of the ecological parameter. 实测 The measured values ​​of real-time ecological parameters are collected, and δ is the sensitivity coefficient. When the collected values ​​of a certain basic parameter or tree species exceed the basic operating threshold for three consecutive times, the initial operating instructions are adjusted by the instruction optimization coefficient. The planting mode, key tree species planting density, drip irrigation frequency and organic substrate laying thickness in the initial instructions are adjusted accordingly. The maintenance plan is updated synchronously when the real-time data shows changes in the restoration effect.

[0041] Ecological Restoration Execution Module: Equipped with planting equipment, a drip irrigation system, and substrate laying equipment, this execution device replants native shrub seedlings in vacant areas of gently sloping woodlands according to the density and location specified in the initial operating instructions. The drip irrigation system activates at a set frequency, precisely supplying water to the root distribution area of ​​the trees. The substrate laying equipment evenly lays improved organic substrate around exposed rock areas, providing a favorable environment for seed germination and seedling growth. If optimized instructions are received, the module will promptly adjust the planting density, drip irrigation frequency, or substrate laying area. Figure 2 As shown.

[0042] Post-maintenance support module: Equipped with pruning tools, fertilization equipment, and maintenance devices, this module operates according to the post-maintenance plan. During the off-season for tree growth, pruning tools are used to thin and shorten native trees and replanted shrubs, controlling shrub height to avoid shading sunlight. Fertilization equipment applies fertilizer according to the tree species' needs, replenishing soil nutrients. Drip irrigation equipment pipes and nozzles are regularly inspected, blockages are cleared, and flow rates are calibrated to ensure stable water supply. When key tree species exhibit leaf wilting or abnormal growth rates, targeted maintenance is performed: fertilization equipment is used to add specialized nutrient solution to the roots, and soil aeration is achieved using soil loosening tools. After each maintenance session, data such as the number of pruned branches, type and amount of fertilizer applied, equipment inspection status, and targeted maintenance procedures are compiled into a maintenance report for archiving.

[0043] In summary, for mild rocky desertification areas on gentle slopes in karst regions, the ecological parameter monitoring module collects basic data such as exposed rocks and vegetation cover, as well as growth information of key tree species. The central control and data module combines historical data and growth models to determine the type of rocky desertification and community stability, generating restoration instructions of "native tree species conservation + associated shrub replanting". The ecological restoration execution module replants shrubs, performs precise drip irrigation, and lays substrate according to the instructions. The post-maintenance and support module carries out routine pruning, fertilization, and equipment maintenance. At the same time, targeted maintenance is initiated when key tree species show abnormal growth, forming a coherent ecological reconstruction process from monitoring and decision-making to restoration and maintenance, which is suitable for the governance needs of mild rocky desertification areas.

[0044] Example 2:

[0045] Ecological parameter monitoring module: In the severely desertified rocky areas of karst regions with steep slopes and bare rock, where large areas of rock are exposed with only a few drought-resistant herbaceous plants in the rock crevices, the soil layer is shallow and scattered, and the risk of soil erosion is high, high-definition remote sensing cameras are deployed to take high-frequency pictures of the entire area, focusing on recording the extent of exposed rock and the distribution of sparse vegetation. Soil profilers detect soil layer thickness and structure, slope measuring instruments record topographic slope, soil nutrient rapid testers collect soil samples to determine nutrient content, and soil moisture sensors monitor changes in soil moisture. In the initial stage, high-frequency data is collected continuously for 15 days, 10 times a day, to obtain basic parameters such as rock exposure rate, vegetation coverage, soil layer thickness, slope, soil fertility, and soil moisture content, as well as relevant data such as the number, height, and growth time of key drought-resistant tree species (such as suitable pioneer trees) scattered in the rock crevices.

[0046] Central Control and Data Module: After preprocessing the initial collected data, it combines historical rocky desertification data for the region, growth models of key drought-resistant tree species (including theoretical growth parameters under extreme conditions), and operational thresholds (covering target values ​​for soil moisture content, annual tree height growth, vegetation coverage, soil fertility, rock exposure, and soil thickness) to calculate a comprehensive index of rocky desertification type using a comprehensive rocky desertification type determination formula. The comprehensive rocky desertification type determination formula is as follows: According to the comprehensive index of rocky desertification type D i Classification of rocky desertification types: D i <0.2 indicates potential, 0.2≤D i <0.4 indicates mild severity, 0.4≤D i <0.6 is considered moderate, 0.6≤D i <0.8 indicates severe, D i A value of ≥0.8 indicates extremely severe desertification, and the area is classified as severely desertified. The comprehensive desertification index before treatment is recorded.

[0047] Based on the data on plant number, tree height, and soil nutrients, the species diversity index S is calculated. d The calculation formula is: Calculate the community renewal potential index S r The calculation formula is: Calculate the forest productivity index S p The calculation formula is: Calculate the soil fertility index S f The calculation formula is:

[0048] The current community stability score is then calculated using the dynamic evaluation formula for community stability: S = 0.25·S d +0.25·S r +0.25·S p +0.25·S fBecause the score was below 0.6, the initial operation instructions were generated as follows: Adopt a planting pattern of "dense planting of pioneer tree species + rock crevice substrate improvement," planting drought-resistant pioneer trees and shrubs at a high density around the rock crevice; use a drip irrigation system with high frequency and low flow rate to reduce water loss; lay a thick layer of water-retaining organic substrate in the rock crevice and bare rock gaps to improve soil conditions. Based on the rocky desertification type classification results and community stability score, a post-maintenance plan was generated: Regular maintenance is carried out monthly, with pruning during relatively mild seasons to control plant height to adapt to steep slopes. For slope environments, regularly apply high-concentration organic fertilizer to replenish nutrients, and frequently check drip irrigation equipment to address potential pipe displacement issues on steep slopes. Provide targeted maintenance, regularly focusing on pioneer tree species. If growth inhibition is detected in key tree species (e.g., yellowing leaves, stunted growth), lay organic-rich topsoil around their roots and supplement with antibacterial agents to prevent disease. Simultaneously, continuously receive real-time ecological parameter data, dynamically optimize and evaluate initial instructions, and calculate the instruction optimization coefficient using the dynamic optimization coefficient formula for repair instructions. The formula for the dynamic optimization coefficient of repair instructions is: When a basic parameter or tree species' data exceeds the operational threshold three times consecutively, the initial operational instructions are adjusted using an optimization coefficient. This includes corresponding adjustments to the planting mode, key tree species planting density, drip irrigation frequency, and organic substrate thickness within the initial instructions. Furthermore, the maintenance plan is updated synchronously as real-time data shows changes in the repair effect. Figure 3 As shown.

[0049] Ecological restoration execution module: Equipped with vegetation planting equipment, drip irrigation system and substrate laying equipment, the execution device plants drought-resistant pioneer trees and shrub seedlings at high density according to the initial operation instructions. The drip irrigation system starts at high frequency and low flow rate to accurately supply water to the roots of the seedlings. The substrate laying equipment lays a thicker water-retaining organic substrate in rock crevices and gaps between bare rocks. When receiving optimized instructions, the operation density of the planting equipment, the operation frequency of the drip irrigation system or the laying thickness of the substrate laying equipment are adjusted in a timely manner to ensure that the restoration operation adapts to environmental changes.

[0050] Post-maintenance support module: Equipped with pruning tools, fertilization equipment, and maintenance devices, this module operates according to the post-maintenance plan. During the off-season for tree growth, pruning tools are used to prune pioneer trees and shrubs to control growth height and reduce wind resistance and soil erosion risks. Fertilization equipment applies high-concentration organic fertilizer to the soil in rock crevices to replenish nutrients. Drip irrigation equipment is regularly inspected to check for pipe displacement due to steep slopes and nozzle blockage, with timely adjustments and cleaning. Targeted maintenance is also conducted on pioneer trees regularly. If growth inhibition is observed, the maintenance device is used to lay topsoil around their roots, and antibacterial agents are added through the fertilization equipment. After each maintenance, data such as pruning amount, fertilizer type and amount, topsoil amount, equipment malfunctions and handling are compiled into a maintenance report for archiving.

[0051] In summary, for severely desertified areas with steep slopes and bare rock in karst regions, the ecological parameter monitoring module focuses on collecting data on large areas of exposed rock, sparse vegetation, and tree species in rock crevices. Once the central control and data module determines the area to be severely desertified, it generates an instruction for "dense planting of pioneer tree species + improvement of rock crevic substrate." The ecological restoration execution module implements high-density planting of drought-resistant tree species, high-frequency drip irrigation, and the laying of water-retaining substrate. The post-restorement module performs routine monthly maintenance, regularly conducts targeted fertilization, and lays topsoil and antibacterial agents when tree growth is inhibited. Through dynamic optimization instructions, the restoration effect is ensured, forming a complete governance system adapted to severely desertified areas.

[0052] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. An ecological reconstruction device based on rocky desertification control, characterized in that, The device includes: Ecological parameter monitoring module: Equipped with a variety of monitoring devices, it collects ecological parameters of the karst area to be treated at a preset initial frequency to form initial data; Central Control and Data Module: This module preprocesses the initially collected data, combining it with pre-stored historical rocky desertification data for karst areas, key tree species growth models including theoretical tree height, and operational baseline thresholds such as soil moisture content target values, annual tree height growth target values, vegetation coverage thresholds, soil fertility thresholds, rock exposure rate thresholds, and soil layer thickness thresholds. It then calculates a comprehensive rocky desertification type index using a comprehensive rocky desertification type determination formula, which is: ,in, This is a comprehensive index of rocky desertification types. This represents the measured rock exposure rate. This represents the theoretical maximum value of the rock exposure rate. This represents the theoretical minimum value for rock exposure. This is the measured vegetation coverage. This represents the theoretical maximum value of vegetation coverage. This represents the theoretical minimum value of vegetation coverage. This represents the measured soil layer thickness. This represents the theoretical maximum thickness of the soil layer. This represents the theoretical minimum thickness of the soil layer. The weighting coefficients are based on the comprehensive index of rocky desertification types. Classification of rocky desertification types: For potential, It is mild. Moderate. It is severe. The severity was classified as extremely severe; the comprehensive index of rocky desertification before treatment was recorded, and then the species diversity index was calculated based on data on plant number, tree height, and soil nutrients. The calculation formula is: ,in, For the first Number of plants The total number of all plants. The number of plant species; calculate the community regeneration potential index. The calculation formula is: ,in, This refers to the number of seedlings with a diameter at breast height (DBH) of <5cm. The number of trees with a diameter at breast height (DBH) ≥ 5 cm; calculate the forest land productivity index. The calculation formula is: ,in, For the first The actual tree height of key tree species For the first The growth period of key tree species For the number of individuals of key tree species, The theoretical tree height at the same time; calculate the soil fertility index. The calculation formula is: ,in, Soil nitrogen content, For soil phosphorus content, For soil potassium content, Soil organic matter content, The soil fertility threshold is used; then, the current community stability score is calculated using the dynamic evaluation formula for community stability, which is: ,in, Assess the current community stability score; Initial operating instructions are generated, including planting patterns, tree planting density, drip irrigation frequency, and organic substrate application. Combining the results of rocky desertification classification, community stability scores, and key tree species growth models, a subsequent maintenance plan is generated, including the cycle of routine maintenance, specific operational standards, and execution requirements for targeted maintenance. Simultaneously, real-time ecological parameter data is continuously received to dynamically optimize and evaluate the initial instructions. The dynamic optimization coefficient of the repair instructions is calculated using the following formula: ,in, For instruction optimization coefficients, These are the theoretical target values ​​for ecological parameters. These are the measured values ​​of real-time ecological parameters collected. The sensitivity coefficient is used to adjust the initial operation command by optimizing the command coefficient when the data of a certain basic parameter or tree species exceeds the basic threshold for three consecutive collections. The command includes adjustments to the planting mode, key tree species planting density, drip irrigation frequency, and organic substrate laying thickness in the initial command. The maintenance plan is updated synchronously when the real-time data shows changes in the repair effect, and the adjustment basis and the content before and after the command are stored in the database. Ecological restoration execution module: Equipped with vegetation planting equipment, drip irrigation system and substrate laying equipment, the execution device operates according to instructions to carry out restoration operations such as planting, drip irrigation and substrate laying, and adjusts the operation in a timely manner after receiving optimized instructions; Post-maintenance support module: Equipped with pruning tools, fertilization equipment and maintenance devices, it works according to the post-maintenance plan, carries out routine maintenance and targeted maintenance operations, and compiles maintenance data into reports.

2. The ecological reconstruction device based on rocky desertification control according to claim 1, characterized in that, The ecological parameter monitoring module is equipped with a variety of monitoring devices, including a high-definition remote sensing camera, a soil profiler, a slope measuring instrument, a soil nutrient rapid tester, and a soil moisture sensor. It collects ecological parameters of the karst area to be treated at a preset initial frequency: high-frequency collection for 10-15 days in the initial stage, with no less than 8 collections per day, covering basic parameters such as rock exposure rate, vegetation coverage, soil thickness, slope, soil fertility, and soil moisture content, as well as relevant data on tree species, including the number of different plants, tree height, and growth time.

3. The ecological reconstruction device based on rocky desertification control according to claim 1, characterized in that, The post-maintenance support module operates according to the post-maintenance plan, carrying out routine maintenance and targeted maintenance operations. The routine maintenance includes: vegetation pruning during the non-peak growing season, avoiding the new bud sprouting period of key tree species, combining thinning and heading back to manage branches, controlling shrub height, and supplementing soil fertilizer according to the growth stage of tree species. In addition, facilities are inspected regularly, including the inspection, calibration and cleaning of drip irrigation equipment and planting equipment. The targeted maintenance includes: regularly fertilizing rocky desertification areas; when the growth of key tree species is inhibited, loosening and aerating the soil around the roots of key tree species, laying topsoil, and adding antibacterial agents.

4. An optimization method for ecological reconstruction based on rocky desertification control, applicable to the ecological reconstruction device based on rocky desertification control as described in any one of claims 1-3, characterized in that, The specific steps of this method are as follows: Ecological parameter monitoring: Equipped with a variety of monitoring devices, including high-definition remote sensing cameras, soil profilers, slope measuring instruments, soil nutrient rapid testers, and soil moisture sensors, the ecological parameters of the karst area to be treated are collected at a preset initial frequency to form initial data. Central control and data: Preprocess the initial collected data, combine the pre-stored historical rocky desertification data, key tree species growth models and basic operating threshold information to carry out multi-dimensional calculations, complete the classification of rocky desertification types, obtain community stability scores, generate initial operating instructions, continuously receive real-time collected data, and periodically optimize and evaluate the instructions; Ecological restoration execution: The execution device is equipped with vegetation planting equipment, drip irrigation system and substrate laying equipment. It operates according to instructions to carry out restoration operations such as planting, drip irrigation and substrate laying, and adjusts the operation in a timely manner after receiving optimized instructions; Post-maintenance support: Equipped with pruning tools, fertilization equipment, and repair tools, the maintenance system operates according to the post-maintenance plan, carrying out routine and targeted maintenance operations, and compiling maintenance data into reports.

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