A method and system for ecological restoration of a power transmission and transformation project in a rocky mountainous area based on grass seed growth trend

Abstract

This invention provides a method and system for ecological restoration of power transmission and transformation projects in rocky mountainous areas based on grass seed growth trends. The method includes: sampling the construction area to obtain several on-site environmental characteristics; determining the sub-comprehensive on-site environmental characteristics corresponding to each sub-region within the construction area; screening grass seeds in a grass seed bank to obtain several suitable grass seeds; deriving the optimal survival rate of each suitable grass seed in different sub-regions based on its growth trends; matching the corresponding optimal suitable grass seed to the sub-region; constructing and displaying a soil improvement plan for the corresponding sub-region; and generating and displaying a grass seed-soil remediation plan for each sub-region based on the current vegetation growth status after grass planting is completed. From environmental sampling and grass seed screening to plan formulation and dynamic adjustment, a standardized process is formed, facilitating the monitoring of restoration progress and quality by supervisors, ensuring that ecological restoration work is implemented as planned, and avoiding superficial restoration.

Description

Technical Field

[0001] This invention relates to the field of green ecological restoration technology, and in particular to a method and system for ecological restoration of power transmission and transformation projects in rocky mountainous areas based on grass seed growth trends. Background Technology

[0002] With rapid economic development and ever-increasing energy demand, power transmission and transformation projects, as key infrastructure for power transmission, are expanding in scale and scope. Rocky mountainous areas, due to their unique geographical location and topography, have become important regions for power transmission and transformation project construction. Construction in rocky mountainous areas typically involves extensive earthwork excavation, tower foundation construction, and transmission line laying. These activities inevitably have a serious negative impact on the local ecological environment. Furthermore, the complex terrain and significant elevation changes in rocky mountainous areas increase the difficulty of construction, further amplifying the risk of ecological damage. During construction, the use and transportation of large construction equipment can easily cause geological disasters such as landslides and collapses, further damaging the ecological environment. Simultaneously, the activities of construction workers may disturb wildlife habitats, affecting their survival and reproduction. The ecological environment of rocky mountainous areas is relatively fragile; once damaged, restoration is extremely difficult and requires a significant investment of time, manpower, and resources. Land destruction and vegetation damage can exacerbate soil erosion. Large amounts of soil are washed away by rainwater, which not only reduces soil fertility and affects vegetation growth and recovery, but may also lead to siltation in rivers, lakes and other water bodies, affecting the rational use of water resources and ecological balance.

[0003] Therefore, this invention provides a method and system for ecological restoration of power transmission and transformation projects in rocky mountainous areas based on grass seed growth trends. Summary of the Invention

[0004] This invention discloses an ecological restoration method and system for power transmission and transformation projects in rocky mountainous areas based on grass seed growth trends. It aims to solve ecological problems such as vegetation destruction and soil erosion caused by the construction of power transmission and transformation projects in rocky mountainous areas. Through scientific and reasonable grass seed selection, planting methods, and monitoring and regulation of grass seed growth trends, the method achieves the goal of rapid and effective restoration of the ecological environment.

[0005] This invention provides an ecological restoration method for power transmission and transformation projects in rocky mountainous areas based on grass seed growth trends, comprising:

[0006] Step 1: Conduct on-site environmental sampling of the construction area, deduce several on-site environmental characteristics of the construction area, and determine the sub-comprehensive on-site environmental characteristics corresponding to each sub-area of ​​the construction area;

[0007] Step 2: Based on the characteristics of the site environment, grass seeds are screened in the grass seed bank to obtain several suitable grass seeds. Based on the growth trend of each suitable grass seed, the optimal survival rate of each suitable grass seed in different sub-regions is derived.

[0008] Step 3: Match the corresponding optimal and suitable grass species for each sub-region, and construct and display the corresponding soil improvement scheme for the sub-region based on the corresponding comprehensive site environment characteristics;

[0009] Step 4: After the grass seeding is completed in the construction area, generate and display the grass seed-soil remediation plan for each sub-area based on the current vegetation growth status of each sub-area.

[0010] In one feasible embodiment, step 1 includes:

[0011] Step 11: Obtain construction process data of the power transmission and transformation project, construct a virtual construction process of the construction area, deduce several estimated soil hazards caused by the power transmission and transformation project to the construction area, and determine the on-site hazard range corresponding to each estimated soil hazard.

[0012] Step 12: Conduct on-site soil sampling for each of the aforementioned on-site hazard areas, analyze the various on-site soil hazards presented in each of the aforementioned on-site hazard areas based on the sampled samples, and when the on-site soil hazard does not match the corresponding estimated soil hazard, conduct on-site environmental sampling again for the corresponding on-site hazard area;

[0013] Step 13: Based on the on-site soil hazards combined with the terrain and climate characteristics of the construction area, analyze the hazard spread trend of each type of construction area, generate several on-site environmental characteristics of the construction area, and identify the on-site hazard situation of each on-site environmental characteristic for different on-site hazard ranges;

[0014] Step 14: Merge the site hazards corresponding to adjacent site hazard ranges, divide the construction area into several sub-areas based on the fusion results, and construct the sub-comprehensive site environment features corresponding to each sub-area based on the corresponding site hazards.

[0015] One feasible approach also includes:

[0016] By comparing several estimated soil hazards and several on-site soil hazards corresponding to each of the aforementioned on-site hazard ranges, the estimation efficiency corresponding to each of the aforementioned on-site hazard ranges is obtained.

[0017] Screen the abnormal site hazard range where the estimated effectiveness rate is lower than the specified effectiveness rate, and deduce several estimated soil hazards in the construction area based on the virtual construction process;

[0018] Locate the area of ​​the abnormal site hazard in the construction area, and re-sample the site environment within the area of ​​the abnormal site hazard based on the estimated soil hazard.

[0019] In one feasible embodiment, step 2 includes:

[0020] Step 21: Select several suitable grass species from the grass seed bank according to the on-site environmental characteristics, and obtain the grass species attributes corresponding to each suitable grass species. Construct the experimental area environment corresponding to the sub-region according to the comprehensive on-site environmental characteristics of each sub-region.

[0021] Step 22: Plant each of the suitable grass species in the experimental area environment respectively, obtain the stage growth of each of the suitable grass species in different experimental area environments within different cultivation cycles, and analyze the growth trend of each of the suitable grass species in different sub-regions.

[0022] Step 23: Analyze the first vegetation recovery time of each suitable grass species in different sub-regions based on the growth trend, and analyze the growth promotion and growth inhibition characteristics between different suitable grass species to deduce the second vegetation recovery time when different suitable grass species are mixed in different sub-regions;

[0023] Step 24: When the first vegetation recovery time is greater than the second vegetation recovery time, a mixed-species tag is set for the corresponding sub-region; otherwise, a single-species tag is set. The optimal survival rate of each suitable grass species in different sub-regions is determined based on the first vegetation recovery time / second vegetation recovery time combined with the growth trend of the corresponding suitable grass species in different sub-regions.

[0024] In one feasible embodiment, step 3 includes:

[0025] Step 31: Divide the sub-region into single-seed region and mixed-seed region according to the planting tag corresponding to each sub-region, and construct the optimal suitable grass species corresponding to each sub-region based on the optimal survival rate of each suitable grass species in different sub-regions;

[0026] Step 32: Screening the heavily polluted sub-regions where the number of selected optimal and suitable grass species is less than the specified number; constructing corresponding sub-region models based on the comprehensive on-site environmental characteristics of the heavily polluted sub-regions; when the heavily polluted sub-region belongs to a mixed seed region, generating several planting layout methods for the suitable grass species.

[0027] Step 33: Simulate each planting layout in the sub-region model to obtain the vegetation survival rate corresponding to each planting layout. When the heavily polluted sub-region belongs to a single-seed region, use the sub-region model to analyze the vegetation survival rate of the suitable grass species in the heavily polluted sub-region.

[0028] Step 34: When the vegetation survival rate is lower than the specified survival rate, run the sub-region model to determine several heavily polluted locations corresponding to the heavily polluted sub-region, and generate and display the soil improvement plan corresponding to the heavily polluted sub-region based on the corresponding vegetation survival rate.

[0029] One feasible approach also includes:

[0030] When the heavily polluted sub-region belongs to the mixed seed region, the target planting layout with the highest vegetation survival rate is selected;

[0031] Based on the target planting layout and the growth trend of the corresponding suitable grass species, a pre-planting treatment method is generated for each heavily polluted location.

[0032] When the heavily polluted sub-region belongs to a single-seed region, a pre-planting treatment method is generated for each heavily polluted location based on the growth trend of the suitable grass species.

[0033] Simultaneously, based on the corresponding vegetation survival rate, a post-planting treatment method for the heavily polluted sub-area is constructed.

[0034] Based on the pre-planting and post-planting remediation methods, soil improvement schemes corresponding to the heavily polluted sub-regions are generated and displayed.

[0035] In one feasible embodiment, step 4 includes:

[0036] Step 41: Select the corresponding grass seed planting layout for each sub-region and guide the on-site personnel to plant grass seeds. After the grass seed planting is completed in the construction area, obtain the vegetation growth characteristics of each sub-region within the specified monitoring period.

[0037] Step 42: Construct the vegetation growth status of the corresponding sub-regions based on the vegetation growth characteristics within different specified monitoring periods, and determine the vegetation recovery rate of each sub-region;

[0038] Step 43: Based on the vegetation growth, determine the high-quality growth locations and low-quality growth locations within the sub-region, construct a grass seed compensation scheme and a soil improvement scheme for the low-quality growth locations, and simultaneously construct a soil moisture retention scheme for the high-quality growth locations. Generate and display the grass seed-soil remediation scheme corresponding to each sub-region.

[0039] One feasible approach also includes:

[0040] When the number of first locations containing high-quality growth locations in the sub-region is greater than the number of second locations containing low-quality growth locations, the sub-region is determined to have completed vegetation restoration.

[0041] This invention provides an ecological restoration system for power transmission and transformation projects in rocky mountainous areas based on grass seed growth trends, comprising:

[0042] The sampling and analysis module is used to sample the on-site environment of the construction area, deduce several on-site environmental features of the construction area, and determine the sub-comprehensive on-site environmental features corresponding to each sub-area of ​​the construction area.

[0043] The grass seed selection module is used to screen grass seeds in the grass seed bank according to the characteristics of the site environment to obtain several suitable grass seeds, and to deduce the optimal survival rate of each suitable grass seed in different sub-regions based on the growth trend of each suitable grass seed.

[0044] The scheme improvement module is used to match the corresponding optimal and suitable grass species for each sub-region, and to construct and display the soil improvement scheme for the corresponding sub-region based on the comprehensive on-site environmental characteristics of the sub-region.

[0045] The long-term monitoring module is used to generate and display a grass-soil remediation plan for each sub-region based on the current vegetation growth status of each sub-region after grass seeding is completed in the construction area.

[0046] In one implementable manner, the sampling analysis module includes:

[0047] The scope determination unit is used to acquire construction process data of the power transmission and transformation project, construct a virtual construction process of the construction area, deduce several estimated soil hazards caused by the power transmission and transformation project to the construction area, and determine the on-site hazard range corresponding to each estimated soil hazard.

[0048] The sampling execution unit is used to perform on-site soil sampling for each of the said on-site hazard areas, analyze several kinds of on-site soil hazards presented in each of the said on-site hazard areas based on the sampled samples, and when the on-site soil hazard does not match the corresponding estimated soil hazard, the on-site environmental sampling is performed again for the corresponding on-site hazard area;

[0049] The trend analysis unit is used to analyze the spread trend of each type of hazard in the construction area based on the on-site soil hazards combined with the terrain and climate characteristics of the construction area, generate several on-site environmental features of the construction area, and identify the on-site hazard situation of each on-site environmental feature for different on-site hazard ranges.

[0050] The feature generation unit is used to merge the field hazard situations corresponding to the adjacent field hazard ranges, divide the construction area into several sub-regions according to the fusion result, and construct the sub-comprehensive field environment features corresponding to each sub-region according to the corresponding field hazard situation.

[0051] The aforementioned technical solution offers the following benefits: To enable precise regional planning and dynamic restoration, significantly improving ecological restoration efficiency, adaptability, and sustainability, the solution first derives the comprehensive environmental characteristics of sub-regions through on-site sampling. This addresses the differences between different sub-regions in rocky mountainous areas. Then, it derives the optimal survival rate based on the growth trends of suitable grass species, rather than solely relying on basic suitability selection. This prioritizes grass species that grow quickly, have well-developed root systems, and strong resilience in specific sub-regions. Furthermore, it develops soil improvement plans tailored to the comprehensive environmental characteristics of each sub-region, optimizing soil conditions before planting grass species to prevent grass from failing due to poor soil conditions. Finally, it establishes long-term soil improvement plans to address post-planting issues promptly. Dynamic adjustments to soil remediation measures ensure continuous vegetation growth and prevent ecological restoration from being abandoned halfway. This standardized process, from environmental sampling and grass species selection to plan development and dynamic adjustment, provides clear guidelines for each step, facilitating monitoring of restoration progress and quality and ensuring that ecological restoration work is implemented as planned, avoiding superficial restoration.

[0052] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0053] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0054] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0055] Figure 1 This is a schematic diagram illustrating the workflow of an ecological restoration method for power transmission and transformation projects in rocky mountainous areas based on grass seed growth trends, as described in an embodiment of the present invention.

[0056] Figure 2 This is a schematic diagram of the composition of an ecological restoration system for power transmission and transformation projects in rocky mountainous areas based on grass seed growth trends, as described in an embodiment of the present invention. Detailed Implementation

[0057] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0058] Example 1: This example provides an ecological restoration method for power transmission and transformation projects in rocky mountainous areas based on grass seed growth trends, such as... Figure 1 As shown, it includes:

[0059] Step 1: Conduct on-site environmental sampling of the construction area, deduce several on-site environmental characteristics of the construction area, and determine the sub-comprehensive on-site environmental characteristics corresponding to each sub-area of ​​the construction area;

[0060] Step 2: Based on the characteristics of the site environment, grass seeds are screened in the grass seed bank to obtain several suitable grass seeds. Based on the growth trend of each suitable grass seed, the optimal survival rate of each suitable grass seed in different sub-regions is derived.

[0061] Step 3: Match the corresponding optimal and suitable grass species for each sub-region, and construct and display the corresponding soil improvement scheme for the sub-region based on the corresponding comprehensive site environment characteristics;

[0062] Step 4: After the grass seeding is completed in the construction area, generate and display the grass seed-soil remediation plan for each sub-area based on the current vegetation growth status of each sub-area.

[0063] In this example, the on-site environmental characteristics refer to the soil, moisture, climate, and pollution characteristics of the construction area;

[0064] In this example, the sub-integrated site environment features represent the integrated result of all environmental features in a sub-region;

[0065] In this example, the grass seed bank represents a database that aggregates several grass species and their attributes, and the grass seed bank is connected to big data and updated periodically;

[0066] In this example, the optimal survival rate represents the maximum probability that a suitable grass species can survive in a subregion;

[0067] In this example, the soil improvement program includes soil quality improvement before planting and fertilization and moisture retention after planting.

[0068] In this example, the current vegetation growth status represents the growth status of grass species in the sub-region;

[0069] In this example, the grass seed-soil remediation program includes the cultivation of grass seeds and the process of soil restoration.

[0070] The working principle and beneficial effects of the above technical solution are as follows: To enable precise regional planning and dynamic restoration, and to bring significant benefits in terms of ecological restoration efficiency, adaptability, and sustainability, the solution first derives the comprehensive on-site environmental characteristics of sub-regions through on-site sampling, addressing the differences between different sub-regions in rocky mountainous areas. Then, it derives the optimal survival rate by combining the growth trends of suitable grass species, rather than relying solely on basic screening. This allows for the priority selection of grass species that grow quickly, have well-developed root systems, and are highly resilient in specific sub-regions. Furthermore, it constructs soil improvement plans based on the comprehensive on-site environmental characteristics of each sub-region, optimizing soil conditions before planting grass species to avoid grass species failing to survive due to poor soil conditions. Finally, it develops long-term soil improvement plans to address problems that arise after planting, ensuring continuous vegetation growth through dynamic adjustments to soil remediation measures and preventing ecological restoration from being abandoned halfway. In this way, from environmental sampling and grass species selection to plan formulation and dynamic adjustment, a standardized process is formed, with clear basis for each step. This facilitates the monitoring of restoration progress and quality by supervisors, ensuring that ecological restoration work is implemented as planned and avoiding perfunctory restoration.

[0071] Example 2: Based on Example 1, the ecological restoration method for power transmission and transformation projects in rocky mountainous areas based on grass seed growth trends, step 1 includes:

[0072] Step 11: Obtain construction process data of the power transmission and transformation project, construct a virtual construction process of the construction area, deduce several estimated soil hazards caused by the power transmission and transformation project to the construction area, and determine the on-site hazard range corresponding to each estimated soil hazard.

[0073] Step 12: Conduct on-site soil sampling for each of the aforementioned on-site hazard areas, analyze the various on-site soil hazards presented in each of the aforementioned on-site hazard areas based on the sampled samples, and when the on-site soil hazard does not match the corresponding estimated soil hazard, conduct on-site environmental sampling again for the corresponding on-site hazard area;

[0074] Step 13: Based on the on-site soil hazards combined with the terrain and climate characteristics of the construction area, analyze the hazard spread trend of each type of construction area, generate several on-site environmental characteristics of the construction area, and identify the on-site hazard situation of each on-site environmental characteristic for different on-site hazard ranges;

[0075] Step 14: Merge the site hazards corresponding to adjacent site hazard ranges, divide the construction area into several sub-areas based on the fusion results, and construct the sub-comprehensive site environment features corresponding to each sub-area based on the corresponding site hazards.

[0076] In this example, estimating soil hazards means analyzing the hazards that power transmission and transformation projects may cause to the soil in the construction area through estimation.

[0077] In this example, the on-site hazard range refers to the area within the construction zone that is subject to the same estimated soil hazard.

[0078] In this example, the discrepancy between the on-site soil hazard and the estimated soil hazard indicates that the previous sampling and estimation work had too large an error.

[0079] In this example, the hazard spread trend indicates the characteristics of a soil hazard spreading in the construction area.

[0080] In this example, "same category fusion" means treating adjacent field hazard ranges belonging to the same type of field hazard as a larger range.

[0081] The working principle and beneficial effects of the above technical solution are as follows: First, a virtual construction process is constructed using construction process data to predict potential soil hazards that may arise from power transmission and transformation projects in advance, and to determine the scope of the hazards. This avoids potential hazards that may be overlooked by relying solely on on-site sampling. Then, actual hazards are analyzed through on-site soil sampling and compared with the estimated hazards. If they do not match, resampling is performed to correct deviations in the virtual deduction in a timely manner, ensuring that all actual soil hazards are identified. Furthermore, the spread trend of hazards is analyzed by combining soil hazards, terrain features, and climate characteristics. This allows subsequent remediation plans to not only target the current hazards but also take measures in advance to block the spread and prevent further expansion of ecological problems. Finally, adjacent areas with similar hazards are merged and divided into sub-regions to ensure that the ecological problem characteristics of each sub-region are consistent. Subsequent matching of grass species and soil improvement plans can accurately adapt to the core problems of the region, avoiding uneven remediation effects caused by formulating a uniform plan for areas with large differences.

[0082] Example 3: Based on Example 2, the ecological restoration method for power transmission and transformation projects in rocky mountainous areas based on grass seed growth trends further includes:

[0083] By comparing several estimated soil hazards and several on-site soil hazards corresponding to each of the aforementioned on-site hazard ranges, the estimation efficiency corresponding to each of the aforementioned on-site hazard ranges is obtained.

[0084] Screen the abnormal site hazard range where the estimated effectiveness rate is lower than the specified effectiveness rate, and deduce several estimated soil hazards in the construction area based on the virtual construction process;

[0085] Locate the area of ​​the abnormal site hazard in the construction area, and re-sample the site environment within the area of ​​the abnormal site hazard based on the estimated soil hazard.

[0086] In this example, the validity rate is specified as 80%.

[0087] The working principle and beneficial effects of the above technical solution are as follows: When the difference between the soil hazard assessment results of the construction area and the actual sampling results is too large, it is necessary to resample and analyze the construction area in order to provide an effective reference for subsequent work.

[0088] Example 4: Based on Example 1, the ecological restoration method for power transmission and transformation projects in rocky mountainous areas based on grass seed growth trends, step 2 includes:

[0089] Step 21: Select several suitable grass species from the grass seed bank according to the on-site environmental characteristics, and obtain the grass species attributes corresponding to each suitable grass species. Construct the experimental area environment corresponding to the sub-region according to the comprehensive on-site environmental characteristics of each sub-region.

[0090] Step 22: Plant each of the suitable grass species in the experimental area environment respectively, obtain the stage growth of each of the suitable grass species in different experimental area environments within different cultivation cycles, and analyze the growth trend of each of the suitable grass species in different sub-regions.

[0091] Step 23: Analyze the first vegetation recovery time of each suitable grass species in different sub-regions based on the growth trend, and analyze the growth promotion and growth inhibition characteristics between different suitable grass species to deduce the second vegetation recovery time when different suitable grass species are mixed in different sub-regions;

[0092] Step 24: When the first vegetation recovery time is greater than the second vegetation recovery time, a mixed-species tag is set for the corresponding sub-region; otherwise, a single-species tag is set. The optimal survival rate of each suitable grass species in different sub-regions is determined based on the first vegetation recovery time / second vegetation recovery time combined with the growth trend of the corresponding suitable grass species in different sub-regions.

[0093] In this example, grass species attributes represent the attributes that a suitable grass species itself exhibits, including: suitable environment, plant appearance, etc.

[0094] In this example, the experimental area environment refers to a virtual scene constructed in virtual space to represent the environmental characteristics of a sub-region;

[0095] In this example, the stage growth status indicates the growth status of the suitable grass species in different cultivation cycles;

[0096] In this example, the first vegetation recovery time represents the time required for the sub-region to achieve full vegetation recovery when only one suitable grass species is planted in the sub-region, and the second vegetation recovery time represents the time required for the sub-region to achieve full vegetation recovery when two or more suitable grass species are planted in the sub-region.

[0097] The working principle and beneficial effects of the above technical solution are as follows: In order to achieve rapid and stable vegetation restoration and timely fixation of the soil in the construction area, reduce soil erosion on the foundation of power transmission lines, and avoid disasters such as landslides caused by long-term vegetation exposure, and achieve synergy between safe operation of the project and ecological protection, the experimental area environment is first constructed based on the characteristics of the sub-industry environment. This accurately recreates the actual conditions of different sub-areas in the rocky mountainous area, avoiding the incompatibility caused by selecting grass species solely based on theoretical data. Then, the selection process not only considers the basic attributes of grass species, but also tracks the growth of different stages of cultivation, analyzes growth trends, and ensures that the selected suitable grass species can adapt to the sub-area environment in the long term, rather than just survive in the short term. Further analysis of the growth promotion or inhibition characteristics between grass species is conducted. By comparing the first and second vegetation restoration times, it is determined whether the sub-area needs to be mixed or planted alone, avoiding the unsatisfactory vegetation restoration in the construction area caused by blindly mixing or planting alone. This ensures that each planting mode can promote restoration with optimal efficiency, reducing the waste of grass species, manpower, and other resources. Finally, the optimal survival rate of each suitable grass species in different sub-areas is selected, making subsequent work more targeted and reducing the cost of adjusting the solution due to data ambiguity.

[0098] Example 5: Based on Example 1, the ecological restoration method for power transmission and transformation projects in rocky mountainous areas based on grass seed growth trends, step 3 includes:

[0099] Step 31: Divide the sub-region into single-seed region and mixed-seed region according to the planting tag corresponding to each sub-region, and construct the optimal suitable grass species corresponding to each sub-region based on the optimal survival rate of each suitable grass species in different sub-regions;

[0100] Step 32: Screening the heavily polluted sub-regions where the number of selected optimal and suitable grass species is less than the specified number; constructing corresponding sub-region models based on the comprehensive on-site environmental characteristics of the heavily polluted sub-regions; when the heavily polluted sub-region belongs to a mixed seed region, generating several planting layout methods for the suitable grass species.

[0101] Step 33: Simulate each planting layout in the sub-region model to obtain the vegetation survival rate corresponding to each planting layout. When the heavily polluted sub-region belongs to a single-seed region, use the sub-region model to analyze the vegetation survival rate of the suitable grass species in the heavily polluted sub-region.

[0102] Step 34: When the vegetation survival rate is lower than the specified survival rate, run the sub-region model to determine several heavily polluted locations corresponding to the heavily polluted sub-region, and generate and display the soil improvement plan corresponding to the heavily polluted sub-region based on the corresponding vegetation survival rate.

[0103] In this example, the quantity is specified as 3;

[0104] In this example, the heavily polluted sub-region represents a sub-region where the soil is severely polluted;

[0105] In this example, the planting layout represents the layout when planting the optimal and suitable grass species in different mixing ratios;

[0106] In this example, the survival rate is specified as 70% of the optimal survival rate.

[0107] The working principle and beneficial effects of the above technical solution are as follows: First, single-species or mixed-species tags divide the sub-region into single-species and mixed-species regions. Then, the optimal survival rate is combined with the optimal suitable grass species to ensure that single-species regions focus on the growth needs of a single grass species, while mixed-species regions take into account the synergistic needs of multiple grass species. This avoids unreasonable solutions due to ambiguous region types. Next, heavily polluted sub-regions with insufficient optimal suitable grass species are specifically screened, and targeted sub-region models are constructed to prevent these ecologically fragile areas from being overlooked due to limited grass species selection. This ensures that the ecological restoration of the entire construction area is comprehensive, especially suitable for localized heavy pollution problems that may exist in power transmission and transformation projects in rocky mountainous areas. Further improvements are made to the mixed-species heavily polluted sub-regions. By simulating various planting layouts through sub-region models and analyzing survival rates, the most suitable layout pattern for heavily polluted environments can be found, avoiding problems such as grass species competition or insufficient pollution tolerance caused by improper layout. Furthermore, by simulating the survival rate of planting layouts or single grass species through sub-region models, the effectiveness of the scheme can be predicted before actual improvement. If the survival rate is lower than the specified value, the strategy can be adjusted in advance to avoid resource waste and time delays caused by blind construction. Finally, the specific heavily polluted locations in the heavily polluted sub-regions are determined by the model, and improvement schemes are generated by combining the survival rate, avoiding indiscriminate improvement of the entire sub-region, and significantly reducing the material and construction costs of soil improvement, which is especially suitable for construction areas in large rocky mountainous areas.

[0108] Example 6: Based on Example 5, the ecological restoration method for power transmission and transformation projects in rocky mountainous areas based on grass seed growth trends further includes:

[0109] When the heavily polluted sub-region belongs to the mixed seed region, the target planting layout with the highest vegetation survival rate is selected;

[0110] Based on the target planting layout and the growth trend of the corresponding suitable grass species, a pre-planting treatment method is generated for each heavily polluted location.

[0111] When the heavily polluted sub-region belongs to a single-seed region, a pre-planting treatment method is generated for each heavily polluted location based on the growth trend of the suitable grass species.

[0112] Simultaneously, based on the corresponding vegetation survival rate, a post-planting treatment method for the heavily polluted sub-area is constructed.

[0113] Based on the pre-planting and post-planting remediation methods, soil improvement schemes corresponding to the heavily polluted sub-regions are generated and displayed.

[0114] The working principle and beneficial effects of the above technical solution are as follows: By improving the soil quality before and after planting, the phenomenon that plants cannot survive due to soil problems can be effectively reduced, and the efficiency of vegetation restoration can be accelerated.

[0115] Example 7: Based on Example 1, the ecological restoration method for power transmission and transformation projects in rocky mountainous areas based on grass seed growth trends, step 4 includes:

[0116] Step 41: Select the corresponding grass seed planting layout for each sub-region and guide the on-site personnel to plant grass seeds. After the grass seed planting is completed in the construction area, obtain the vegetation growth characteristics of each sub-region within the specified monitoring period.

[0117] Step 42: Construct the vegetation growth status of the corresponding sub-regions based on the vegetation growth characteristics within different specified monitoring periods, and determine the vegetation recovery rate of each sub-region;

[0118] Step 43: Based on the vegetation growth, determine the high-quality growth locations and low-quality growth locations within the sub-region, construct a grass seed compensation scheme and a soil improvement scheme for the low-quality growth locations, and simultaneously construct a soil moisture retention scheme for the high-quality growth locations. Generate and display the grass seed-soil remediation scheme corresponding to each sub-region.

[0119] In this example, the vegetation growth characteristics are the appearance characteristics of the standard vegetation in the construction area, such as plant height, coverage, and wilting rate.

[0120] In this example, the monitoring period is specified as 30 days.

[0121] The working principle and beneficial effects of the above technical solution are as follows: Vegetation growth characteristics are continuously acquired within a specified monitoring period, thereby determining the vegetation growth status and recovery speed. This effectively avoids omissions of later problems caused by a one-time acceptance inspection after planting. Then, based on the growth status, high-quality growth locations and low-quality growth locations are divided. Grass seed compensation and soil improvement plans are formulated for low-quality locations, and soil moisture retention plans are formulated for high-quality locations. This ensures that the recovery quality of all locations within the sub-region meets the standards. It is particularly suitable for the complex terrain and large local environmental differences in rocky mountainous areas. In this way, by accurately locating low-quality growth locations, grass seed compensation and soil improvement are carried out only in the problem areas, without the need to replant or comprehensively improve the entire sub-region, reducing the waste of resources such as grass seeds, fertilizers, and manpower.

[0122] Example 8: Based on Example 7, the ecological restoration method for power transmission and transformation projects in rocky mountainous areas based on grass seed growth trends further includes:

[0123] When the number of first locations containing high-quality growth locations in the sub-region is greater than the number of second locations containing low-quality growth locations, the sub-region is determined to have completed vegetation restoration.

[0124] The working principle and beneficial effects of the above technical solution are as follows: when multiple parts of a sub-region exhibit high-quality growth, it is determined that the sub-region has completed vegetation restoration.

[0125] Example 9: This example provides an ecological restoration system for power transmission and transformation projects in rocky mountainous areas based on grass seed growth trends, such as... Figure 2 As shown, it includes:

[0126] The sampling and analysis module is used to sample the on-site environment of the construction area, deduce several on-site environmental features of the construction area, and determine the sub-comprehensive on-site environmental features corresponding to each sub-area of ​​the construction area.

[0127] The grass seed selection module is used to screen grass seeds in the grass seed bank according to the characteristics of the site environment to obtain several suitable grass seeds, and to deduce the optimal survival rate of each suitable grass seed in different sub-regions based on the growth trend of each suitable grass seed.

[0128] The scheme improvement module is used to match the corresponding optimal and suitable grass species for each sub-region, and to construct and display the soil improvement scheme for the corresponding sub-region based on the comprehensive on-site environmental characteristics of the sub-region.

[0129] The long-term monitoring module is used to generate and display a grass-soil remediation plan for each sub-region based on the current vegetation growth status of each sub-region after grass seeding is completed in the construction area.

[0130] In this example, the on-site environmental characteristics refer to the soil, moisture, climate, and pollution characteristics of the construction area;

[0131] In this example, the sub-integrated site environment features represent the integrated result of all environmental features in a sub-region;

[0132] In this example, the grass seed bank represents a database that aggregates several grass species and their attributes, and the grass seed bank is connected to big data and updated periodically;

[0133] In this example, the optimal survival rate represents the maximum probability that a suitable grass species can survive in a subregion;

[0134] In this example, the soil improvement program includes soil quality improvement before planting and fertilization and moisture retention after planting.

[0135] In this example, the current vegetation growth status represents the growth status of grass species in the sub-region;

[0136] In this example, the grass seed-soil remediation program includes the cultivation of grass seeds and the process of soil restoration.

[0137] The working principle and beneficial effects of the above technical solution are as follows: To enable precise regional planning and dynamic restoration, and to bring significant benefits in terms of ecological restoration efficiency, adaptability, and sustainability, the solution first derives the comprehensive on-site environmental characteristics of sub-regions through on-site sampling, addressing the differences between different sub-regions in rocky mountainous areas. Then, it derives the optimal survival rate by combining the growth trends of suitable grass species, rather than solely relying on basic suitability selection. This allows for the priority selection of grass species that grow quickly, have well-developed root systems, and are highly resilient in specific sub-regions. Furthermore, it constructs soil improvement plans based on the comprehensive on-site environmental characteristics of each sub-region, optimizing soil conditions before planting grass species to avoid grass species failing to survive due to poor soil conditions. Finally, it develops long-term soil improvement plans to address problems that arise after planting, ensuring continuous vegetation growth through dynamic adjustments to soil remediation measures and preventing ecological restoration from being abandoned halfway. In this way, from environmental sampling and grass species selection to plan formulation and dynamic adjustment, a standardized process is formed, with clear basis for each step. This facilitates the monitoring of restoration progress and quality by supervisors, ensuring that ecological restoration work is implemented as planned and avoiding perfunctory restoration.

[0138] Example 10: Based on Example 9, the ecological restoration system for power transmission and transformation projects in rocky mountainous areas based on grass seed growth trends, the sampling and analysis module includes:

[0139] The scope determination unit is used to acquire construction process data of the power transmission and transformation project, construct a virtual construction process of the construction area, deduce several estimated soil hazards caused by the power transmission and transformation project to the construction area, and determine the on-site hazard range corresponding to each estimated soil hazard.

[0140] The sampling execution unit is used to perform on-site soil sampling for each of the said on-site hazard areas, analyze several kinds of on-site soil hazards presented in each of the said on-site hazard areas based on the sampled samples, and when the on-site soil hazard does not match the corresponding estimated soil hazard, the on-site environmental sampling is performed again for the corresponding on-site hazard area;

[0141] The trend analysis unit is used to analyze the spread trend of each type of hazard in the construction area based on the on-site soil hazards combined with the terrain and climate characteristics of the construction area, generate several on-site environmental features of the construction area, and identify the on-site hazard situation of each on-site environmental feature for different on-site hazard ranges.

[0142] The feature generation unit is used to merge the field hazard situations corresponding to the adjacent field hazard ranges, divide the construction area into several sub-regions according to the fusion result, and construct the sub-comprehensive field environment features corresponding to each sub-region according to the corresponding field hazard situation.

[0143] In this example, estimating soil hazards means analyzing the hazards that power transmission and transformation projects may cause to the soil in the construction area through estimation.

[0144] In this example, the on-site hazard range refers to the area within the construction zone that is subject to the same estimated soil hazard.

[0145] In this example, the discrepancy between the on-site soil hazard and the estimated soil hazard indicates that the previous sampling and estimation work had too large an error.

[0146] In this example, the hazard spread trend indicates the characteristics of a soil hazard spreading in the construction area.

[0147] In this example, "same category fusion" means treating adjacent field hazard ranges belonging to the same type of field hazard as a larger range.

[0148] The working principle and beneficial effects of the above technical solution are as follows: First, a virtual construction process is constructed using construction process data to predict potential soil hazards that may arise from power transmission and transformation projects in advance, and to determine the scope of the hazards. This avoids potential hazards that may be overlooked by relying solely on on-site sampling. Then, actual hazards are analyzed through on-site soil sampling and compared with the estimated hazards. If they do not match, resampling is performed to correct deviations in the virtual deduction in a timely manner, ensuring that all actual soil hazards are identified. Furthermore, the spread trend of hazards is analyzed by combining soil hazards, terrain features, and climate characteristics. This allows subsequent remediation plans to not only target the current hazards but also take measures in advance to block the spread and prevent further expansion of ecological problems. Finally, adjacent areas with similar hazards are merged and divided into sub-regions to ensure that the ecological problem characteristics of each sub-region are consistent. Subsequent matching of grass species and soil improvement plans can accurately adapt to the core problems of the region, avoiding uneven remediation effects caused by formulating a uniform plan for areas with large differences.

[0149] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for ecological restoration of a rocky mountain power transmission project based on the growth trend of grass seeds, characterized in that, include: Step 1: Conduct on-site environmental sampling of the construction area, deduce several on-site environmental characteristics of the construction area, and determine the sub-comprehensive on-site environmental characteristics corresponding to each sub-area of ​​the construction area; Step 2: Based on the characteristics of the site environment, grass seeds are screened in the grass seed bank to obtain several suitable grass seeds. Based on the growth trend of each suitable grass seed, the optimal survival rate of each suitable grass seed in different sub-regions is derived. Step 3: Match the corresponding optimal and suitable grass species for each sub-region, and construct and display the corresponding soil improvement scheme for the sub-region based on the corresponding comprehensive site environment characteristics; Step 4: After the grass seeding is completed in the construction area, generate and display the grass seed-soil remediation plan for each sub-area based on the current vegetation growth status of each sub-area. Step 2 includes: Step 21: Select several suitable grass species from the grass seed bank according to the on-site environmental characteristics, and obtain the grass species attributes corresponding to each suitable grass species. Construct the experimental area environment corresponding to the sub-region according to the comprehensive on-site environmental characteristics of each sub-region. Step 22: Plant each of the suitable grass species in the experimental area environment respectively, obtain the stage growth of each of the suitable grass species in different experimental area environments within different cultivation cycles, and analyze the growth trend of each of the suitable grass species in different sub-regions. Step 23: Analyze the first vegetation recovery time of each suitable grass species in different sub-regions based on the growth trend, and analyze the growth promotion and growth inhibition characteristics between different suitable grass species to deduce the second vegetation recovery time when different suitable grass species are mixed in different sub-regions; Step 24: When the first vegetation recovery time is greater than the second vegetation recovery time, a mixed-species tag is set for the corresponding sub-region; otherwise, a single-species tag is set. The optimal survival rate of each suitable grass species in different sub-regions is determined based on the first vegetation recovery time / second vegetation recovery time combined with the growth trend of the corresponding suitable grass species in different sub-regions.

2. The ecological restoration method for power transmission and transformation projects in rocky mountainous areas based on grass seed growth trends as described in claim 1, characterized in that, Step 1 includes: Step 11: Obtain construction process data of the power transmission and transformation project, construct a virtual construction process of the construction area, deduce several estimated soil hazards caused by the power transmission and transformation project to the construction area, and determine the on-site hazard range corresponding to each estimated soil hazard. Step 12: Conduct on-site soil sampling for each of the aforementioned on-site hazard areas, analyze the various on-site soil hazards presented in each of the aforementioned on-site hazard areas based on the sampled samples, and when the on-site soil hazard does not match the corresponding estimated soil hazard, conduct on-site environmental sampling again for the corresponding on-site hazard area; Step 13: Based on the on-site soil hazards combined with the terrain and climate characteristics of the construction area, analyze the hazard spread trend of each type of construction area, generate several on-site environmental characteristics of the construction area, and identify the on-site hazard situation of each on-site environmental characteristic for different on-site hazard ranges; Step 14: Merge the site hazards corresponding to adjacent site hazard ranges, divide the construction area into several sub-areas based on the fusion results, and construct the sub-comprehensive site environment features corresponding to each sub-area based on the corresponding site hazards.

3. The method for ecological restoration of a rocky mountain power transmission project based on grass seed growth trends according to claim 2, characterized in that, Also includes: By comparing several estimated soil hazards and several on-site soil hazards corresponding to each of the aforementioned on-site hazard ranges, the estimation efficiency corresponding to each of the aforementioned on-site hazard ranges is obtained. Screen the abnormal site hazard range where the estimated effectiveness rate is lower than the specified effectiveness rate, and deduce several estimated soil hazards in the construction area based on the virtual construction process; Locate the area of ​​the abnormal site hazard in the construction area, and re-sample the site environment within the area of ​​the abnormal site hazard based on the estimated soil hazard.

4. The method for ecological restoration of a rocky mountain power transmission project based on grass seed growth trends according to claim 1, characterized in that, Step 3 includes: Step 31: Divide the sub-region into single-seed region and mixed-seed region according to the planting tag corresponding to each sub-region, and construct the optimal suitable grass species corresponding to each sub-region based on the optimal survival rate of each suitable grass species in different sub-regions; Step 32: Screening the heavily polluted sub-regions where the number of selected optimal and suitable grass species is less than the specified number; constructing corresponding sub-region models based on the comprehensive on-site environmental characteristics of the heavily polluted sub-regions; when the heavily polluted sub-region belongs to a mixed seed region, generating several planting layout methods for the suitable grass species. Step 33: Simulate each planting layout in the sub-region model to obtain the vegetation survival rate corresponding to each planting layout. When the heavily polluted sub-region belongs to a single-seed region, use the sub-region model to analyze the vegetation survival rate of the suitable grass species in the heavily polluted sub-region. Step 34: When the vegetation survival rate is lower than the specified survival rate, run the sub-region model to determine several heavily polluted locations corresponding to the heavily polluted sub-region, and generate and display the soil improvement plan corresponding to the heavily polluted sub-region based on the corresponding vegetation survival rate.

5. The method for ecological restoration of a rocky mountain power transmission project based on grass seed growth trends according to claim 4, characterized in that, Also includes: When the heavily polluted sub-region belongs to the mixed seed region, the target planting layout with the highest vegetation survival rate is selected; Based on the target planting layout and the growth trend of the corresponding suitable grass species, a pre-planting treatment method is generated for each heavily polluted location. When the heavily polluted sub-region belongs to a single-seed region, a pre-planting treatment method is generated for each heavily polluted location based on the growth trend of the suitable grass species. Simultaneously, based on the corresponding vegetation survival rate, a post-planting treatment method for the heavily polluted sub-area is constructed. Based on the pre-planting and post-planting remediation methods, soil improvement schemes corresponding to the heavily polluted sub-regions are generated and displayed.

6. The method for ecological restoration of a rocky mountain power transmission project based on grass seed growth trends according to claim 1, characterized in that, Step 4 includes: Step 41: Select the corresponding grass seed planting layout for each sub-region and guide the on-site personnel to plant grass seeds. After the grass seed planting is completed in the construction area, obtain the vegetation growth characteristics of each sub-region within the specified monitoring period. Step 42: Construct the vegetation growth status of the corresponding sub-regions based on the vegetation growth characteristics within different specified monitoring periods, and determine the vegetation recovery rate of each sub-region; Step 43: Based on the vegetation growth, determine the high-quality growth locations and low-quality growth locations within the sub-region, construct a grass seed compensation scheme and a soil improvement scheme for the low-quality growth locations, and simultaneously construct a soil moisture retention scheme for the high-quality growth locations. Generate and display the grass seed-soil remediation scheme corresponding to each sub-region.

7. The method for ecological restoration of a rocky mountain power transmission project based on grass seed growth trends according to claim 6, characterized in that, Also includes: When the number of first locations containing high-quality growth locations in the sub-region is greater than the number of second locations containing low-quality growth locations, the sub-region is determined to have completed vegetation restoration.

8. A rocky mountain power transmission project ecological restoration system based on grass seed growth trend, characterized in that, include: The sampling and analysis module is used to sample the on-site environment of the construction area, deduce several on-site environmental features of the construction area, and determine the sub-comprehensive on-site environmental features corresponding to each sub-area of ​​the construction area. The grass seed selection module is used to screen grass seeds in the grass seed bank according to the characteristics of the site environment to obtain several suitable grass seeds, and to deduce the optimal survival rate of each suitable grass seed in different sub-regions based on the growth trend of each suitable grass seed. The scheme improvement module is used to match the corresponding optimal and suitable grass species for each sub-region, and to construct and display the soil improvement scheme for the corresponding sub-region based on the comprehensive on-site environmental characteristics of the sub-region. The long-term monitoring module is used to generate and display a grass-soil remediation plan for each sub-region based on the current vegetation growth status of each sub-region after grass seeding is completed in the construction area. The grass seed selection module screens grass seeds in a seed bank based on the characteristics of the site environment to obtain several suitable grass seeds. The process of deriving the optimal survival rate of each suitable grass seed in different sub-regions based on its growth trend includes: Based on the on-site environmental characteristics, several suitable grass species are selected from the grass seed bank, and the grass species attributes corresponding to each suitable grass species are obtained. Based on the on-site environmental characteristics of each sub-region, an experimental area environment corresponding to the sub-region is constructed. Each of the suitable grass species was planted in the experimental area environment, and the stage growth of each of the suitable grass species in different experimental area environments was obtained in different cultivation cycles. The growth trend of each suitable grass species in different sub-regions was analyzed. Based on the growth trend analysis, the first vegetation recovery time of each of the suitable grass species in different sub-regions is analyzed, and the growth promotion and growth inhibition characteristics between different suitable grass species are analyzed to deduce the second vegetation recovery time when different suitable grass species are mixed in different sub-regions. When the first vegetation recovery time is greater than the second vegetation recovery time, a mixed-species tag is set for the corresponding sub-region; otherwise, a single-species tag is set. The optimal survival rate of each suitable grass species in different sub-regions is determined based on the first vegetation recovery time / second vegetation recovery time combined with the growth trend of the corresponding suitable grass species in different sub-regions.

9. The rocky mountain power transmission project ecological restoration system based on grass seed growth trend according to claim 8, characterized in that, The sampling analysis module includes: The scope determination unit is used to acquire construction process data of the power transmission and transformation project, construct a virtual construction process of the construction area, deduce several estimated soil hazards caused by the power transmission and transformation project to the construction area, and determine the on-site hazard range corresponding to each estimated soil hazard. The sampling execution unit is used to perform on-site soil sampling for each of the said on-site hazard areas, analyze several kinds of on-site soil hazards presented in each of the said on-site hazard areas based on the sampled samples, and when the on-site soil hazard does not match the corresponding estimated soil hazard, the on-site environmental sampling is performed again for the corresponding on-site hazard area; The trend analysis unit is used to analyze the spread trend of each type of hazard in the construction area based on the on-site soil hazards combined with the terrain and climate characteristics of the construction area, generate several on-site environmental features of the construction area, and identify the on-site hazard situation of each on-site environmental feature for different on-site hazard ranges. The feature generation unit is used to merge the field hazard situations corresponding to the adjacent field hazard ranges, divide the construction area into several sub-regions according to the fusion result, and construct the sub-comprehensive field environment features corresponding to each sub-region according to the corresponding field hazard situation.

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