Application of vegetation restoration management system and method after power transmission and transformation project construction

Abstract

This invention discloses a vegetation restoration management system and method applied to the post-construction vegetation restoration of power transmission and transformation projects. The system includes: collecting soil samples from the area after the construction of the power transmission and transformation project, testing the soil, and determining its soil properties; determining a sowing plan for the area based on the soil properties; and restoring vegetation in the area based on the sowing plan. By testing the soil and determining the sowing plan based on its properties, the system improves the targeting of vegetation restoration measures, better adapts to different soil conditions, and enhances the success rate and effectiveness of vegetation restoration.

Description

Technical Field

[0001] This invention relates to the field of vegetation restoration technology, and in particular to a vegetation restoration management system and method applied after the construction of power transmission and transformation projects. Background Technology

[0002] The construction of power transmission and transformation projects, including substations and transmission lines, has multifaceted environmental impacts. First, the construction process involves activities such as site leveling and foundation excavation, which disturb the existing surface, damage vegetation, and lead to soil erosion and other ecological and environmental problems.

[0003] The red soil along the power transmission and transformation project in the hilly red soil area of ​​Jiangxi Province is characterized by its acidity, poor soil quality, stickiness, and compactness, as well as its loose sand and gravel texture, numerous cracks, and poor water retention capacity. Furthermore, the varying site conditions of the base surface and slopes after mechanized construction of the power transmission and transformation project make vegetation restoration difficult after construction, negatively impacting the local ecological environment. Current technologies for vegetation restoration after power transmission and transformation projects largely rely on historical experience, involving large-scale, uniform planting in the affected areas. However, the significant differences in soil quality between different areas within the same region make vegetation restoration challenging. Therefore, a post-construction vegetation restoration management system and method are urgently needed to address these issues and achieve rapid vegetation restoration after power transmission and transformation projects. Summary of the Invention

[0004] This invention aims to at least partially solve one of the technical problems in the aforementioned technologies. Therefore, a first aspect of this invention aims to provide a method for vegetation restoration management after the construction of power transmission and transformation projects. By testing the soil and determining the sowing plan based on its properties, the method improves the targeting of vegetation restoration measures, better adapts to different soil conditions, and enhances the success rate and effectiveness of vegetation restoration.

[0005] The second objective of this invention is to provide a vegetation restoration management system applicable to the construction of power transmission and transformation projects.

[0006] To achieve the above objectives, a first aspect of the present invention proposes a method for vegetation restoration and management after the construction of power transmission and transformation projects, comprising:

[0007] Soil samples were collected from the area after the construction of the power transmission and transformation project, and the soil was tested to determine the soil properties.

[0008] Based on the soil properties information, a sowing plan for the area after the construction of the power transmission and transformation project is determined;

[0009] Based on the aforementioned sowing scheme, vegetation restoration was carried out in the area following the construction of the power transmission and transformation project.

[0010] Preferably, soil samples are collected and tested in the area following the construction of the power transmission and transformation project to determine the soil properties, including:

[0011] The acidity of the soil in the area after the construction of the power transmission and transformation project was tested, and the acidity test results were obtained. The infertility characteristics of the soil in the area after the construction of the power transmission and transformation project were tested, and the infertility characteristics test results were obtained. Based on the acidity test results and the infertility characteristics test results, the first test result was determined.

[0012] The soil structure of the soil in the area after the construction of the power transmission and transformation project is identified, and the soil structure identification results are obtained. The water storage capacity of the soil in the area after the construction of the power transmission and transformation project is tested, and the water storage capacity test results are obtained. Based on the soil structure test results and the water storage capacity test results, a second test result is determined.

[0013] The slope of the soil base and slope in the area after the construction of the power transmission and transformation project was tested to determine the third test result;

[0014] Soil properties information is determined based on the first, second, and third test results.

[0015] Preferably, determining a sowing scheme for the area after the construction of the power transmission and transformation project based on the soil properties information includes:

[0016] Based on the first detection result, a first seeding strategy is generated;

[0017] Based on the second detection result, a second seeding strategy is generated;

[0018] Based on the third detection result, a third seeding strategy is generated;

[0019] The seeding scheme for the area after the construction of the power transmission and transformation project is determined based on the first seeding strategy, the second seeding strategy, and the third seeding strategy.

[0020] Preferably, based on the first detection result, a first seeding strategy is generated, including:

[0021] The pH value of the soil described in the first test result is compared with the pH value required for the germination of the seeds to be sown, and the soil infertility characteristics test result described in the first test result is compared with the organic matter content required for the growth of the seeds to be sown.

[0022] If the pH value of the soil in the area after the construction of the power transmission and transformation project is higher than the pH value required for the germination of the seeds to be sown and the organic matter content in the soil is lower than the organic matter content required for the growth of the seeds to be sown, then the pH value of the soil in the area after the construction of the power transmission and transformation project should be adjusted and organic fertilizer should be added.

[0023] If the pH value of the soil in the area after the construction of the power transmission and transformation project is greater than the pH value required for the germination of the seeds to be sown, and the organic matter content in the soil is greater than or equal to the organic matter content required for the growth of the seeds to be sown, then the pH value of the soil in the area after the construction of the power transmission and transformation project shall be adjusted.

[0024] If the soil pH value in the area after the construction of the power transmission and transformation project meets the pH value required for the germination of the seeds to be sown, and the organic matter content in the soil is less than the organic matter content required for the growth of the seeds to be sown, then organic fertilizer should be added to the soil in the area after the construction of the power transmission and transformation project.

[0025] Preferably, based on the second detection result, a second seeding strategy is generated, including:

[0026] If the second test results of the soil in the area after the construction of the power transmission and transformation project show that the soil structure is loose, the soil in the area after the construction of the power transmission and transformation project shall be sown by hole sowing, and the sowing hole diameter shall be reduced and the sowing density shall be increased.

[0027] If the second test results of the soil in the area after the construction of the power transmission and transformation project show that there are many cracks in the soil structure, then the soil in the area after the construction of the power transmission and transformation project should be sown in the strip sowing method, and the sowing hole diameter should be reduced and the sowing density should be increased.

[0028] If the second test results of the area after the construction of the power transmission and transformation project show that the soil has poor water retention capacity, the soil in the area after the construction of the power transmission and transformation project shall be sown by broadcasting and combined with slow-release moisture-retaining and fertilizer-enhancing materials.

[0029] Preferably, based on the third detection result, a third seeding strategy is generated, including:

[0030] The average slope of the soil base and slope described in the third test result is compared with the preset slope threshold.

[0031] If the average slope of the base surface and slope of the soil in the area after the construction of the power transmission and transformation project is greater than the preset slope threshold, then the sowing depth and the soil covering thickness after sowing in the area after the construction of the power transmission and transformation project will be adjusted.

[0032] Preferably, the soil structure of the area after the construction of the power transmission and transformation project is identified, and the soil structure identification results are obtained, including:

[0033] Images of the soil in the area after the construction of the power transmission and transformation project are obtained to obtain the image to be identified;

[0034] The image to be identified is enhanced to obtain the enhanced image to be identified;

[0035] The enhanced image to be identified is input into a pre-trained soil structure recognition model for identification, and the soil structure detection results are obtained.

[0036] Preferably, image enhancement is performed on the image to be identified to obtain an enhanced image to be identified, including:

[0037] Take any image to be identified and divide it into several sub-images to be identified;

[0038] Take any sub-image to be identified, and perform grayscale processing on the sub-image to be identified to obtain a grayscale image;

[0039] Obtain the grayscale value of each pixel in a grayscale image;

[0040] The gradient value corresponding to each pixel is determined based on the grayscale value of each pixel.

[0041] Based on the grayscale value of each pixel in the grayscale image and the gradient value corresponding to each pixel, a local evaluation value of the grayscale image is determined according to the first preset evaluation value algorithm.

[0042] The local evaluation value of the grayscale image is compared with a preset evaluation threshold;

[0043] If the local evaluation value is greater than or equal to the preset evaluation threshold, then the grayscale image is used as the first target image;

[0044] If the local evaluation value is less than the preset evaluation threshold, then the grayscale image is used as the second target image;

[0045] Based on the local evaluation value corresponding to the first target image, a preset local evaluation value-enhancement coefficient table is queried to determine the first enhancement coefficient corresponding to the first target image;

[0046] The first target image is enhanced based on the first enhancement coefficient;

[0047] The pixel to be enhanced is enhanced based on the second enhancement coefficient;

[0048] Traverse all pixels in the second target image to complete the image enhancement of the second target image;

[0049] The enhanced first target image and the enhanced second target image are fused together to obtain the enhanced image to be identified.

[0050] Preferably, enhancing the pixel to be enhanced based on the second enhancement coefficient includes:

[0051] Take any pixel from the second target image as the target pixel;

[0052] The target region is determined with the target pixel as the center and a preset step size as the radius.

[0053] Obtain the maximum, minimum, and average grayscale values ​​of pixels in the target region;

[0054] Compare the grayscale values ​​of pixels in the target region with the mean value;

[0055] Pixels with gray values ​​greater than or equal to the mean value are designated as first gray-value pixels; pixels with gray values ​​less than the mean value are designated as second gray-value pixels.

[0056] The difference between the maximum gray value of each pixel in the target region and the gray value of the second gray value pixel is calculated and summed to obtain the first sum value;

[0057] The difference between the gray value of the first gray-level pixel in the target area and the minimum gray value of the pixels in the target area are calculated and summed to obtain the second sum value;

[0058] The square root of the sum of the squares of the first and second sums is used to obtain the first distribution parameter of the target region corresponding to the target pixel.

[0059] Calculate the difference between the maximum gray value of a pixel in the target region and the gray value of the target pixel to obtain the first difference;

[0060] Calculate the difference between the gray value of the target pixel and the minimum gray value of the pixels in the target region to obtain the second difference;

[0061] Calculate the sum of squares of the first difference and the second difference and take the square root to obtain the second distribution parameter of the target region corresponding to the target pixel;

[0062] Based on the first and second distribution parameters of the target region corresponding to the target pixel, and using the second preset evaluation value algorithm, the evaluation value of the target pixel is determined.

[0063] The evaluation value of the target pixel is compared with a preset pixel evaluation threshold. If the evaluation value of the target pixel is determined to be less than the preset pixel evaluation threshold, the target pixel is designated as a pixel to be enhanced.

[0064] The second enhancement coefficient of the pixel to be enhanced is determined based on a preset enhancement algorithm;

[0065] The pixel to be enhanced is enhanced based on the second enhancement coefficient.

[0066] To achieve the above objectives, a second aspect of the present invention provides a vegetation restoration management system applied after the construction of power transmission and transformation projects, comprising:

[0067] The first determining module is used to collect soil samples from the area after the construction of the power transmission and transformation project, and to test the soil to determine the soil properties.

[0068] The second determining module is used to determine the sowing plan for the area after the construction of the power transmission and transformation project based on the soil properties information.

[0069] The planting module is used to restore vegetation in the area after the construction of the power transmission and transformation project, based on the sowing scheme.

[0070] This invention discloses a method and system for vegetation restoration management after the construction of power transmission and transformation projects. By testing the soil and determining the sowing plan based on its properties, the method improves the targeting of vegetation restoration measures, better adapts to different soil conditions, and enhances the success rate and effectiveness of vegetation restoration. Precise sowing plans help to rationally utilize resources and avoid unnecessary waste, thereby improving the overall efficiency of vegetation restoration work. Effectively restoring vegetation in the construction area of ​​power transmission and transformation projects is beneficial to improving the local ecological environment and promoting the stable and balanced development of the ecosystem. A reasonable plan design can reduce failures and repetitive work caused by inappropriate planting measures, thus reducing the cost of vegetation restoration to a certain extent. It also helps to ensure the long-term growth and stability of vegetation, laying the foundation for the sustainable development of the surrounding environment of power transmission and transformation projects.

[0071] 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.

[0072] 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

[0073] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0074] Figure 1 This is a flowchart of a vegetation restoration and management method applied after the construction of a power transmission and transformation project, according to an embodiment of the present invention.

[0075] Figure 2 This is a flowchart for determining soil properties information according to an embodiment of the present invention;

[0076] Figure 3 This is a block diagram of a vegetation restoration management system applied after the construction of a power transmission and transformation project, according to an embodiment of the present invention. Detailed Implementation

[0077] 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.

[0078] Example 1

[0079] like Figure 1 As shown, a method for vegetation restoration and management after the construction of power transmission and transformation projects includes S1-S3:

[0080] S1: Collect soil samples from the area after the construction of the power transmission and transformation project, and test the soil to determine the soil properties.

[0081] S2: Determine the sowing plan for the area after the construction of the power transmission and transformation project based on the soil properties information;

[0082] S3: Based on the aforementioned sowing scheme, vegetation restoration is carried out in the area after the construction of the power transmission and transformation project.

[0083] In this embodiment, soil samples are collected from the area after the construction of the power transmission and transformation project. The collection methods include: multi-point sampling: selecting multiple representative points within a selected area and collecting soil samples from each point; grid sampling: dividing the area into a grid and collecting soil samples at grid intersections or specific locations; stratified sampling: collecting soil samples at different depths to understand the characteristics of soil at different depths; random sampling: randomly selecting sampling points within the area and collecting soil samples; and systematic sampling: collecting soil samples according to certain rules and intervals.

[0084] The beneficial effects of the above technical solutions are as follows: By testing the soil and determining the sowing plan based on its properties, the targeting of vegetation restoration measures is improved, enabling better adaptation to different soil conditions and increasing the success rate and effectiveness of vegetation restoration; precise sowing plans help to make rational use of resources and avoid unnecessary waste, thereby improving the overall efficiency of vegetation restoration work; effectively restoring vegetation in the construction area of ​​power transmission and transformation projects is conducive to improving the local ecological environment and promoting the stable and balanced development of the ecosystem; reasonable plan design can reduce failures and repetitive work caused by inappropriate planting measures, thereby reducing the cost of vegetation restoration to a certain extent; and it helps to ensure the long-term growth and stability of vegetation, laying the foundation for the sustainable development of the surrounding environment of power transmission and transformation projects.

[0085] Example 2

[0086] like Figure 2 As shown, soil samples were collected and tested in the area following the construction of the power transmission and transformation project to determine the soil properties, including S11-S14:

[0087] S11: The soil acidity in the area after the construction of the power transmission and transformation project is tested, and the soil acidity test results are obtained; the soil infertility characteristics in the area after the construction of the power transmission and transformation project are tested, and the soil infertility characteristics test results are obtained; based on the soil acidity test results and the infertility characteristics test results, the first test result is determined.

[0088] S12: Identify the soil structure of the area after the construction of the power transmission and transformation project, and obtain the soil structure identification results; test the water storage capacity of the soil in the area after the construction of the power transmission and transformation project, and obtain the water storage capacity test results; determine the second test result based on the soil structure test results and the water storage capacity test results.

[0089] S13: Detect the slope of the base surface and slope of the soil in the area after the construction of the power transmission and transformation project, and determine the third test result;

[0090] S14: Determine the soil properties based on the first, second, and third test results.

[0091] In this embodiment, the soil acidity in the area after the construction of the power transmission and transformation project is detected. The detection methods include pH test paper method: using widely available pH test paper to directly insert into the soil and contact it with the soil leachate, and determining the pH value by comparing the color change with a colorimetric card; pH meter method: using a pH meter to directly measure the pH value of the soil suspension or leachate, which is more accurate and sensitive; colorimetric method: using specific chemical reagents to react with the soil to produce a color change, and then comparing it with a standard colorimetric card to determine the degree of acidity.

[0092] In this embodiment, the soil acidity test results include the soil pH value.

[0093] In this embodiment, the soil infertility characteristics of the area after the construction of the power transmission and transformation project are detected, including but not limited to: soil nutrient content detection: including the detection of the content of major nutrient elements such as nitrogen, phosphorus, and potassium, which can be carried out by chemical analysis methods; organic matter content detection: the organic matter content is determined by methods such as potassium dichromate oxidation method, which can reflect the fertility of the soil; trace element content detection: such as the detection of the content of trace elements such as iron, zinc, and copper; soil texture analysis: understanding the proportion of sand, silt, and clay in the soil, which can also reflect the soil infertility to a certain extent.

[0094] In this embodiment, the soil infertility characteristics test results include the content of organic matter.

[0095] In this embodiment, the soil base and slope gradient are considered. The soil base typically refers to the relatively flat bottom area; the slope gradient refers to the inclination of the slope, generally expressed as the ratio of the vertical height to the horizontal distance of the slope, for example, 1:2 means that for every unit of vertical elevation, the horizontal elevation is 2 units. The slope gradient has a significant impact on soil stability and soil erosion. In power transmission and transformation projects and other construction projects, reasonable slope design and monitoring are crucial for project safety and the surrounding environment.

[0096] In this embodiment, the detection of the soil base and slope gradient includes: leveling instrument measurement: using a leveling instrument to measure elevation and calculate the slope; total station measurement: accurately measuring angles and distances to determine the slope; GPS measurement: using the Global Positioning System to obtain relevant data to calculate the slope; inclinometer measurement: an instrument specifically used for measuring slope; and field measurement: using simple measuring tools such as tape measures and protractors for manual field measurement and calculation.

[0097] The beneficial effects of the above technical solutions are as follows: By detecting and analyzing various aspects such as soil acidity, infertility characteristics, soil structure, water retention capacity, and base and slope gradients, a comprehensive and in-depth understanding of the actual soil conditions in the area after the construction of the power transmission and transformation project can be achieved; based on different test results, corresponding sowing strategies are generated, and finally, a comprehensive sowing plan is determined, which improves the pertinence and scientific nature of the plan and is conducive to improving the effect and success rate of vegetation restoration; fully considering various soil properties helps to select suitable plant varieties and planting methods, thereby better promoting vegetation growth and improving the quality and stability of vegetation restoration; reasonable vegetation restoration management helps to reduce the impact of construction on the ecological environment, enhance the compatibility of the power transmission and transformation project with the surrounding ecological environment, and improve the overall ecological benefits of the project; planning based on detailed soil test information allows for more rational allocation of resources and work arrangement, avoiding blind spots and waste of resources.

[0098] Example 3

[0099] Based on the soil properties information, a seeding plan is determined for the area after the construction of the power transmission and transformation project, including:

[0100] Based on the first detection result, a first seeding strategy is generated;

[0101] Based on the second detection result, a second seeding strategy is generated;

[0102] Based on the third detection result, a third seeding strategy is generated;

[0103] The seeding scheme for the area after the construction of the power transmission and transformation project is determined based on the first seeding strategy, the second seeding strategy, and the third seeding strategy.

[0104] The beneficial effects of the above technical solutions are as follows: Strategies are tailored to different soil properties, making the sowing plan more aligned with actual soil conditions and improving accuracy. Comprehensive consideration of factors such as acidity, infertility, and soil structure ensures the plan is based on scientific analysis and judgment. Targeted strategies help select appropriate species and sowing methods, leading to faster and better vegetation restoration; they avoid the waste of resources caused by indiscriminate sowing, allowing for more rational allocation and utilization of resources; they better adapt to the growth needs of vegetation under different soil conditions, improving vegetation survival rate and growth quality; they contribute to building a more stable and healthy ecological environment, reducing the impact of power transmission and transformation projects on the surrounding ecosystem; and the step-by-step strategy development, culminating in a comprehensive plan, facilitates practical operation and implementation.

[0105] Example 4

[0106] Based on the first detection result, a first seeding strategy is generated, including:

[0107] The pH value of the soil described in the first test result is compared with the pH value required for the germination of the seeds to be sown, and the soil infertility characteristics test result described in the first test result is compared with the organic matter content required for the growth of the seeds to be sown.

[0108] If the pH value of the soil in the area after the construction of the power transmission and transformation project is higher than the pH value required for the germination of the seeds to be sown and the organic matter content in the soil is lower than the organic matter content required for the growth of the seeds to be sown, then the pH value of the soil in the area after the construction of the power transmission and transformation project should be adjusted and organic fertilizer should be added.

[0109] If the pH value of the soil in the area after the construction of the power transmission and transformation project is greater than the pH value required for the germination of the seeds to be sown, and the organic matter content in the soil is greater than or equal to the organic matter content required for the growth of the seeds to be sown, then the pH value of the soil in the area after the construction of the power transmission and transformation project shall be adjusted.

[0110] If the soil pH value in the area after the construction of the power transmission and transformation project meets the pH value required for the germination of the seeds to be sown, and the organic matter content in the soil is less than the organic matter content required for the growth of the seeds to be sown, then organic fertilizer should be added to the soil in the area after the construction of the power transmission and transformation project.

[0111] In this embodiment, the methods for adjusting the pH value of the soil in the area after the construction of the power transmission and transformation project include: if the soil is alkaline, sulfur powder, ferrous sulfate, etc. can be added to lower the pH value; if the soil is acidic, lime, wood ash, etc. can be added to raise the pH value; appropriate acidic or alkaline fertilizers can be used to gradually adjust the pH value; applying well-rotted organic fertilizers helps to improve soil structure and buffer soil pH; and irrigation water with appropriate pH value can be selected as needed.

[0112] The beneficial effects of the above technical solutions are: Based on comparative analysis of specific test results and seed requirements, targeted strategies can be formulated; by adjusting soil pH and supplementing organic matter, a suitable growth environment can be provided for seeds, which is conducive to improving germination rate and growth quality; unnecessary resource waste can be avoided, and soil improvement measures can be implemented precisely; it helps sown plants to better adapt to the regional environment after the construction of power transmission and transformation projects; it lays a good foundation for subsequent vegetation growth and ecological restoration; it allows for flexible adjustments based on different soil conditions and seed requirements; and it helps maintain soil health and ecosystem stability.

[0113] Example 5

[0114] Based on the second detection result, a second seeding strategy is generated, including:

[0115] If the second test results of the soil in the area after the construction of the power transmission and transformation project show that the soil structure is loose, the soil in the area after the construction of the power transmission and transformation project shall be sown by hole sowing, and the sowing hole diameter shall be reduced and the sowing density shall be increased.

[0116] If the second test results of the soil in the area after the construction of the power transmission and transformation project show that there are many cracks in the soil structure, then the soil in the area after the construction of the power transmission and transformation project should be sown in the strip sowing method, and the sowing hole diameter should be reduced and the sowing density should be increased.

[0117] If the second test results of the area after the construction of the power transmission and transformation project show that the soil has poor water retention capacity, the soil in the area after the construction of the power transmission and transformation project shall be sown by broadcasting and combined with slow-release moisture-retaining and fertilizer-enhancing materials.

[0118] In this embodiment, the slow-release moisture-retaining and fertilizing materials include coated fertilizers such as coated urea, which release nutrients slowly; humic acid substances, which have a certain effect on moisture retention and increasing soil fertility; high molecular polymers such as polyacrylamide, which can retain water and improve soil structure; organic materials such as well-rotted straw and manure, which can increase fertility and also have a certain moisture-retaining function; zeolite, which can adsorb nutrients and release them slowly, while helping to retain soil moisture; and bentonite, which has certain water-retaining and soil texture-improving properties.

[0119] The beneficial effects of the above technical solutions are as follows: Adopting different sowing strategies based on different soil conditions can better adapt to the special soil conditions in areas after power transmission and transformation project construction, improving the effectiveness and success rate of sowing; for soils with loose structure and many cracks, reducing the sowing hole size and increasing the sowing density can enhance soil stability to a certain extent; for soils with poor water retention capacity, combining slow-release moisture-retaining and fertilizer-enhancing materials helps improve the soil's water and fertilizer retention capacity; reasonable sowing methods combined with specific materials can make fuller and more effective use of resources such as seeds and fertilizers; and it helps to quickly establish suitable vegetation cover in areas after power transmission and transformation project construction, playing a role in ecological restoration and protection.

[0120] Example 6

[0121] Based on the third detection results, a third seeding strategy is generated, including:

[0122] The average slope of the soil base and slope described in the third test result is compared with the preset slope threshold.

[0123] If the average slope of the base surface and slope of the soil in the area after the construction of the power transmission and transformation project is greater than the preset slope threshold, then the sowing depth and the soil covering thickness after sowing in the area after the construction of the power transmission and transformation project will be adjusted.

[0124] In this embodiment, a sowing plan is designed for hilly terrain. For example, the sowing depth is 30 cm at point A, 40 cm at point B, and 20 cm at point C. Sowing is planned based on these three locations to achieve automated and rapid sowing. During sowing, if the soil covering at point A is better than that at point C, and the soil covering at point C is relatively infertile, the soil covering at point A is collected first to adjust the soil quality at point C before sowing. Sowing is achieved through the process of removing the soil covering.

[0125] The beneficial effects of the above technical solution are: it can adjust the sowing strategy in a timely manner according to the slope of the soil base and slope, better adapting to areas with different slope characteristics after the construction of power transmission and transformation projects; by reasonably adjusting the sowing depth and soil covering thickness, it provides more suitable conditions for seed growth, increasing the chances of seed germination and seedling survival; it helps maintain soil stability under different slopes, reducing problems such as soil erosion; it allows for targeted adjustments based on specific slope conditions, achieving more scientific and precise sowing operations, improving resource utilization efficiency and planting effects; and it is conducive to establishing good vegetation cover under different slope conditions, promoting the overall restoration and improvement of the regional ecological environment after the construction of power transmission and transformation projects.

[0126] Example 7

[0127] The soil structure of the area after the construction of the power transmission and transformation project was identified, and the soil structure identification results were obtained, including:

[0128] Images of the soil in the area after the construction of the power transmission and transformation project are obtained to obtain the image to be identified;

[0129] The image to be identified is enhanced to obtain the enhanced image to be identified;

[0130] The enhanced image to be identified is input into a pre-trained soil structure recognition model for identification, and the soil structure detection results are obtained.

[0131] In this embodiment, the method for constructing the soil structure identification model includes:

[0132] Obtain a training dataset of soil in the area following the construction of a power transmission and transformation project;

[0133] The training dataset of soil in the area after the construction of the power transmission and transformation project is input into the neural network model for iterative training to obtain the initial soil structure recognition model.

[0134] Obtain a test dataset of soil in the area following the construction of a power transmission and transformation project;

[0135] The initial soil structure recognition model was tested using a test dataset of soil in the area after the construction of the power transmission and transformation project. When the test results were satisfactory, a well-trained soil structure recognition model was obtained.

[0136] The beneficial effects of the above technical solution are as follows: image enhancement processing makes soil images clearer and features more obvious, thereby improving the accuracy of soil structure identification; the use of image acquisition and model recognition is more efficient and convenient than traditional methods, and can quickly obtain soil structure results; it avoids the subjective influence of human factors on soil structure judgment, and the results are more reliable; it provides accurate data support for subsequent seeding strategy formulation, which facilitates scientific management and decision-making.

[0137] Example 8

[0138] Image enhancement is performed on the image to be identified to obtain an enhanced image to be identified, including:

[0139] Take any image to be identified and divide it into several sub-images to be identified;

[0140] Take any sub-image to be identified, and perform grayscale processing on the sub-image to be identified to obtain a grayscale image;

[0141] Obtain the grayscale value of each pixel in a grayscale image;

[0142] The gradient value corresponding to each pixel is determined based on the grayscale value of each pixel.

[0143] Based on the grayscale value of each pixel in the grayscale image and the gradient value corresponding to each pixel, a local evaluation value of the grayscale image is determined according to the first preset evaluation value algorithm.

[0144] The local evaluation value of the grayscale image is compared with a preset evaluation threshold;

[0145] If the local evaluation value is greater than or equal to the preset evaluation threshold, then the grayscale image is used as the first target image;

[0146] If the local evaluation value is less than the preset evaluation threshold, then the grayscale image is used as the second target image;

[0147] Based on the local evaluation value corresponding to the first target image, a preset local evaluation value-enhancement coefficient table is queried to determine the first enhancement coefficient corresponding to the first target image;

[0148] The first target image is enhanced based on the first enhancement coefficient;

[0149] The pixel to be enhanced is enhanced based on the second enhancement coefficient;

[0150] Traverse all pixels in the second target image to complete the image enhancement of the second target image;

[0151] The enhanced first target image and the enhanced second target image are fused together to obtain the enhanced image to be identified.

[0152] In this embodiment, the local evaluation value of the grayscale image is determined based on the grayscale value of each pixel and the gradient value corresponding to each pixel using a first preset evaluation value algorithm.

[0153] The algorithm for the first preset evaluation value includes:

[0154]

[0155] Among them, P i This represents the local evaluation value of the i-th grayscale image; Sigmoid() represents the normalization function. This represents the average gray level of all pixels in the i-th grayscale image; This represents the mean gradient of all pixels in the i-th grayscale image; This represents the average gray value of all pixels in all gray-level images adjacent to the i-th gray-level image; This represents the average gradient of all pixels in all grayscale images adjacent to the i-th grayscale image.

[0156] In this embodiment, the preset evaluation threshold is determined based on historical data.

[0157] In this embodiment, the local evaluation value-enhancement coefficient table is a table established based on multiple classifications and summaries of historical data.

[0158] The beneficial effects of the above technical solution are as follows: by dividing the image into sub-images and processing them separately, different regions can be enhanced more specifically, adapting to complex soil image conditions; local evaluation values ​​are determined based on the grayscale and gradient values ​​of pixels, thereby achieving more accurate selection of enhancement coefficients and enhancement operations; the contrast and clarity of the image are effectively improved, making the characteristics of the soil more obvious and facilitating subsequent soil structure recognition; different strategies are adopted for sub-images of different qualities to better cope with various possible image conditions; the enhanced image can provide higher quality input for the soil structure recognition model, thereby improving the accuracy and reliability of recognition; and the flexibility and diversity of image enhancement processing are achieved through different enhancement coefficients and methods.

[0159] Example 9

[0160] The enhancement of the pixel to be enhanced is based on the second enhancement coefficient, including:

[0161] Take any pixel from the second target image as the target pixel;

[0162] The target region is determined with the target pixel as the center and a preset step size as the radius.

[0163] Obtain the maximum, minimum, and average grayscale values ​​of pixels in the target region;

[0164] Compare the grayscale values ​​of pixels in the target region with the mean value;

[0165] Pixels with gray values ​​greater than or equal to the mean value are designated as first gray-value pixels; pixels with gray values ​​less than the mean value are designated as second gray-value pixels.

[0166] The difference between the maximum gray value of each pixel in the target region and the gray value of the second gray value pixel is calculated and summed to obtain the first sum value;

[0167] The difference between the gray value of the first gray-level pixel in the target area and the minimum gray value of the pixels in the target area are calculated and summed to obtain the second sum value;

[0168] The square root of the sum of the squares of the first and second sums is used to obtain the first distribution parameter of the target region corresponding to the target pixel.

[0169] Calculate the difference between the maximum gray value of a pixel in the target region and the gray value of the target pixel to obtain the first difference;

[0170] Calculate the difference between the gray value of the target pixel and the minimum gray value of the pixels in the target region to obtain the second difference;

[0171] Calculate the sum of squares of the first difference and the second difference and take the square root to obtain the second distribution parameter of the target region corresponding to the target pixel;

[0172] Based on the first and second distribution parameters of the target region corresponding to the target pixel, and using the second preset evaluation value algorithm, the evaluation value of the target pixel is determined.

[0173] The evaluation value of the target pixel is compared with a preset pixel evaluation threshold. If the evaluation value of the target pixel is determined to be less than the preset pixel evaluation threshold, the target pixel is designated as a pixel to be enhanced.

[0174] The second enhancement coefficient of the pixel to be enhanced is determined based on a preset enhancement algorithm;

[0175] The pixel to be enhanced is enhanced based on the second enhancement coefficient.

[0176] In this embodiment, the evaluation value of the target pixel is determined based on the first distribution parameter and the second distribution parameter of the target region corresponding to the target pixel and a second preset evaluation value algorithm.

[0177] The second preset evaluation value algorithm includes:

[0178]

[0179] Where W represents the evaluation value of the target pixel; g tmax h represents the maximum grayscale value of the pixel in the target region corresponding to the t-th target pixel; tm This represents the m-th second grayscale pixel in the target region corresponding to the t-th target pixel; M represents the total number of second grayscale pixels in the target region corresponding to the t-th target pixel; N represents the total number of first grayscale pixels in the target region corresponding to the t-th target pixel; h tn This represents the nth first grayscale pixel in the target region corresponding to the t-th target pixel; g tmin denoted as the minimum grayscale value of the pixel in the target region corresponding to the t-th target pixel; a represents the grayscale value of the t-th target pixel.

[0180] In this embodiment, the preset pixel evaluation threshold is pre-set based on industry experience.

[0181] In this embodiment, a second enhancement coefficient for the pixel to be enhanced is determined based on a preset enhancement algorithm; the preset enhancement algorithm includes:

[0182]

[0183] Among them, P t Let represent the enhancement coefficient of the t-th target pixel, Q be the average gray value of the pixels in the target region corresponding to the t-th target pixel; a represent the gray value of the t-th target pixel, and n be the total number of pixels in the target region corresponding to the t-th target pixel; g tmax g represents the maximum grayscale value of the pixel in the target region corresponding to the t-th target pixel; tmin This represents the minimum grayscale value of the pixel in the target region corresponding to the t-th target pixel.

[0184] The beneficial effects of the above technical solution are as follows: by meticulously dividing the target region and analyzing the grayscale features of its pixels, the pixels that need enhancement can be identified more accurately, improving the targeting of the enhancement; by using parameters such as the maximum, minimum, and mean grayscale values ​​to calculate distribution parameters and evaluation values, it is helpful to comprehensively evaluate the state and features of the pixels, thereby enabling more reasonable enhancement operations; by determining the pixels to be enhanced and the enhancement coefficient based on specific algorithms and thresholds, the enhancement process becomes more scientific and controllable, avoiding over- or under-enhancement; this step-by-step analysis and processing approach can adapt to the characteristics of different images, improving the adaptability and flexibility of the enhancement method to a certain extent, and potentially helping to improve the overall image quality and visual effect.

[0185] like Figure 3 As shown, a second aspect of the present invention provides a vegetation restoration management system applied after the construction of power transmission and transformation projects, comprising:

[0186] The first determining module is used to collect soil samples from the area after the construction of the power transmission and transformation project, and to test the soil to determine the soil properties.

[0187] The second determining module is used to determine the sowing plan for the area after the construction of the power transmission and transformation project based on the soil properties information.

[0188] The planting module is used to restore vegetation in the area after the construction of the power transmission and transformation project, based on the sowing scheme.

[0189] The beneficial effects of the above technical solutions are as follows: By testing the soil and determining the sowing plan based on its properties, the targeting of vegetation restoration measures is improved, enabling better adaptation to different soil conditions and increasing the success rate and effectiveness of vegetation restoration; precise sowing plans help to make rational use of resources and avoid unnecessary waste, thereby improving the overall efficiency of vegetation restoration work; effectively restoring vegetation in the construction area of ​​power transmission and transformation projects is conducive to improving the local ecological environment and promoting the stable and balanced development of the ecosystem; reasonable plan design can reduce failures and repetitive work caused by inappropriate planting measures, thereby reducing the cost of vegetation restoration to a certain extent; and it helps to ensure the long-term growth and stability of vegetation, laying the foundation for the sustainable development of the surrounding environment of power transmission and transformation projects.

[0190] 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 vegetation restoration and management after the construction of power transmission and transformation projects, characterized in that, include: Soil samples were collected from the area after the construction of the power transmission and transformation project, and the soil was tested to determine the soil properties. Based on the soil properties information, a sowing plan for the area after the construction of the power transmission and transformation project is determined; Based on the aforementioned sowing scheme, vegetation restoration will be carried out in the area following the construction of the power transmission and transformation project; Soil samples were collected and tested in the area following the construction of the power transmission and transformation project to determine soil properties, including: The acidity of the soil in the area after the construction of the power transmission and transformation project was tested, and the acidity test results were obtained. The infertility characteristics of the soil in the area after the construction of the power transmission and transformation project were tested, and the infertility characteristics test results were obtained. Based on the acidity test results and the infertility characteristics test results, the first test result was determined. The soil structure of the soil in the area after the construction of the power transmission and transformation project is identified, and the soil structure identification results are obtained. The water storage capacity of the soil in the area after the construction of the power transmission and transformation project is tested, and the water storage capacity test results are obtained. Based on the soil structure test results and the water storage capacity test results, a second test result is determined. The slope of the soil base and slope in the area after the construction of the power transmission and transformation project was tested to determine the third test result; Soil properties information are determined based on the first, second, and third test results; Based on the soil properties information, a seeding plan is determined for the area after the construction of the power transmission and transformation project, including: Based on the first detection result, a first seeding strategy is generated; Based on the second detection result, a second seeding strategy is generated; Based on the third detection result, a third seeding strategy is generated; The seeding scheme for the area after the construction of the power transmission and transformation project is determined based on the first seeding strategy, the second seeding strategy and the third seeding strategy. Based on the second detection result, a second seeding strategy is generated, including: If the second test results of the soil in the area after the construction of the power transmission and transformation project show that the soil structure is loose, the soil in the area after the construction of the power transmission and transformation project shall be sown by hole sowing, and the sowing hole diameter shall be reduced and the sowing density shall be increased. If the second test results of the soil in the area after the construction of the power transmission and transformation project show that there are many cracks in the soil structure, then the soil in the area after the construction of the power transmission and transformation project should be sown in the strip sowing method, and the sowing hole diameter should be reduced and the sowing density should be increased. If the second test results of the area after the construction of the power transmission and transformation project show that the soil has poor water retention capacity, the soil in the area after the construction of the power transmission and transformation project shall be sown by broadcasting and combined with slow-release moisture-retaining and fertilizer-enhancing materials.

2. The method for vegetation restoration and management after construction of power transmission and transformation projects as described in claim 1, characterized in that, Based on the first detection result, a first seeding strategy is generated, including: The pH value of the soil described in the first test result is compared with the pH value required for the germination of the seeds to be sown, and the soil infertility characteristics test result described in the first test result is compared with the organic matter content required for the growth of the seeds to be sown. If the pH value of the soil in the area after the construction of the power transmission and transformation project is higher than the pH value required for the germination of the seeds to be sown and the organic matter content in the soil is lower than the organic matter content required for the growth of the seeds to be sown, then the pH value of the soil in the area after the construction of the power transmission and transformation project should be adjusted and organic fertilizer should be added. If the pH value of the soil in the area after the construction of the power transmission and transformation project is greater than the pH value required for the germination of the seeds to be sown, and the organic matter content in the soil is greater than or equal to the organic matter content required for the growth of the seeds to be sown, then the pH value of the soil in the area after the construction of the power transmission and transformation project shall be adjusted. If the soil pH value in the area after the construction of the power transmission and transformation project meets the pH value required for the germination of the seeds to be sown, and the organic matter content in the soil is less than the organic matter content required for the growth of the seeds to be sown, then organic fertilizer should be added to the soil in the area after the construction of the power transmission and transformation project.

3. The method for vegetation restoration and management after the construction of power transmission and transformation projects as described in claim 1, characterized in that, Based on the third detection results, a third seeding strategy is generated, including: The average slope of the soil base and slope described in the third test result is compared with the preset slope threshold. If the average slope of the base surface and slope of the soil in the area after the construction of the power transmission and transformation project is greater than the preset slope threshold, then the sowing depth and the soil covering thickness after sowing in the area after the construction of the power transmission and transformation project will be adjusted.

4. The method for vegetation restoration and management after the construction of power transmission and transformation projects as described in claim 1, characterized in that, The soil structure of the area after the construction of the power transmission and transformation project was identified, and the soil structure identification results were obtained, including: Images of the soil in the area after the construction of the power transmission and transformation project are obtained to obtain the image to be identified; The image to be identified is enhanced to obtain the enhanced image to be identified; The enhanced image to be identified is input into a pre-trained soil structure recognition model for identification, and the soil structure detection results are obtained.

5. The vegetation restoration and management method applied after the construction of power transmission and transformation projects as described in claim 4, characterized in that, Image enhancement is performed on the image to be identified to obtain an enhanced image to be identified, including: Take any image to be identified and divide it into several sub-images to be identified; Take any sub-image to be identified, and perform grayscale processing on the sub-image to be identified to obtain a grayscale image; Obtain the grayscale value of each pixel in a grayscale image; The gradient value corresponding to each pixel is determined based on the grayscale value of each pixel. Based on the grayscale value of each pixel in the grayscale image and the gradient value corresponding to each pixel, a local evaluation value of the grayscale image is determined according to the first preset evaluation value algorithm. The local evaluation value of the grayscale image is compared with a preset evaluation threshold; If the local evaluation value is greater than or equal to the preset evaluation threshold, then the grayscale image is used as the first target image; If the local evaluation value is less than the preset evaluation threshold, then the grayscale image is used as the second target image; Based on the local evaluation value corresponding to the first target image, a preset local evaluation value-enhancement coefficient table is queried to determine the first enhancement coefficient corresponding to the first target image; The first target image is enhanced based on the first enhancement coefficient; Enhance the pixels to be enhanced based on the second enhancement coefficient; Traverse all pixels in the second target image to complete the image enhancement of the second target image; The enhanced first target image and the enhanced second target image are fused together to obtain the enhanced image to be identified.

6. The vegetation restoration and management method applied after the construction of power transmission and transformation projects as described in claim 5, characterized in that, Enhancement is performed on the pixels to be enhanced based on the second enhancement coefficient, including: Take any pixel from the second target image as the target pixel; The target region is determined with the target pixel as the center and a preset step size as the radius. Obtain the maximum, minimum, and average grayscale values ​​of pixels in the target region; Compare the grayscale values ​​of pixels in the target region with the mean value; Pixels with gray values ​​greater than or equal to the mean value are designated as first gray-value pixels; pixels with gray values ​​less than the mean value are designated as second gray-value pixels. The difference between the maximum gray value of each pixel in the target region and the gray value of the second gray value pixel is calculated and summed to obtain the first sum value; The difference between the gray value of the first gray-level pixel in the target area and the minimum gray value of the pixels in the target area are calculated and summed to obtain the second sum value; The square root of the sum of the squares of the first and second sums is used to obtain the first distribution parameter of the target region corresponding to the target pixel. Calculate the difference between the maximum gray value of a pixel in the target region and the gray value of the target pixel to obtain the first difference; Calculate the difference between the gray value of the target pixel and the minimum gray value of the pixels in the target region to obtain the second difference; Calculate the sum of squares of the first difference and the second difference and take the square root to obtain the second distribution parameter of the target region corresponding to the target pixel; Based on the first and second distribution parameters of the target region corresponding to the target pixel, and using the second preset evaluation value algorithm, the evaluation value of the target pixel is determined. The evaluation value of the target pixel is compared with a preset pixel evaluation threshold. If the evaluation value of the target pixel is determined to be less than the preset pixel evaluation threshold, the target pixel is designated as a pixel to be enhanced. The second enhancement coefficient of the pixel to be enhanced is determined based on a preset enhancement algorithm; The pixel to be enhanced is enhanced based on the second enhancement coefficient.

7. A vegetation restoration management system applied after the construction of power transmission and transformation projects, characterized in that, include: The first determining module is used to collect soil samples from the area after the construction of the power transmission and transformation project, and to test the soil to determine the soil properties. The second determining module is used to determine the sowing plan for the area after the construction of the power transmission and transformation project based on the soil properties information. The planting module is used to restore vegetation in the area after the construction of the power transmission and transformation project based on the sowing scheme. The first determination module collects and tests soil samples from the area after the construction of the power transmission and transformation project to determine the soil properties, including: The acidity of the soil in the area after the construction of the power transmission and transformation project was tested, and the acidity test results were obtained. The infertility characteristics of the soil in the area after the construction of the power transmission and transformation project were tested, and the infertility characteristics test results were obtained. Based on the acidity test results and the infertility characteristics test results, the first test result was determined. The soil structure of the soil in the area after the construction of the power transmission and transformation project is identified, and the soil structure identification results are obtained. The water storage capacity of the soil in the area after the construction of the power transmission and transformation project is tested, and the water storage capacity test results are obtained. Based on the soil structure test results and the water storage capacity test results, a second test result is determined. The slope of the soil base and slope in the area after the construction of the power transmission and transformation project was tested to determine the third test result; Soil properties information are determined based on the first, second, and third test results; The second determining module is used to determine a sowing plan for the area after the construction of the power transmission and transformation project based on the soil properties information, including: Based on the first detection result, a first seeding strategy is generated; Based on the second detection result, a second seeding strategy is generated; Based on the third detection result, a third seeding strategy is generated; The seeding scheme for the area after the construction of the power transmission and transformation project is determined based on the first seeding strategy, the second seeding strategy and the third seeding strategy. Based on the second detection result, a second seeding strategy is generated, including: If the second test results of the soil in the area after the construction of the power transmission and transformation project show that the soil structure is loose, the soil in the area after the construction of the power transmission and transformation project shall be sown by hole sowing, and the sowing hole diameter shall be reduced and the sowing density shall be increased. If the second test results of the soil in the area after the construction of the power transmission and transformation project show that there are many cracks in the soil structure, then the soil in the area after the construction of the power transmission and transformation project should be sown in the strip sowing method, and the sowing hole diameter should be reduced and the sowing density should be increased. If the second test results of the area after the construction of the power transmission and transformation project show that the soil has poor water retention capacity, the soil in the area after the construction of the power transmission and transformation project shall be sown by broadcasting and combined with slow-release moisture-retaining and fertilizer-enhancing materials.

Images