Vegetation recovery management system and method applied after power transmission and transformation project construction

Abstract

The invention discloses a vegetation recovery management system and method applied after power transmission and transformation project construction, and the method comprises the steps: collecting the soil of an area after power transmission and transformation project construction, detecting the soil, and determining the soil property information of the soil; based on the attribute information of the soil texture, determining a sowing scheme of an area after the construction of the power transmission and transformation project; based on the sowing scheme, vegetation recovery is carried out on the area after power transmission and transformation project construction; by detecting the soil and determining the seeding scheme according to the attributes of the soil, the pertinence of vegetation recovery measures is improved, different soil conditions can be better adapted, and the success rate and effect of vegetation recovery are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of vegetation restoration, and in particular to a vegetation restoration management system and method applied to after the construction of a power transmission and transformation project. Background Art

[0002] Transmission and transformation projects, including the construction of substations and transmission lines, have many impacts on the environment. First, during the construction period, it is necessary to level the site and tower foundation, excavate the foundation, and other activities. These operations will disturb the existing surface, destroy vegetation, and cause soil erosion and ecological environment impacts.

[0003] The red soil along the power transmission and transformation project in the red soil hilly area of ​​Jiangxi Province is acidic, thin, sticky, and boardy. The loose sand and gravel texture is loose, there are many cracks, and the water storage function is poor. In addition, the different site conditions of the base surface and the slope after the mechanized construction of the power transmission and transformation project are disturbed. As a result, it is difficult to restore vegetation after the construction of the power transmission and transformation project, which has a certain impact on the local ecological environment. In the existing technology, the regional vegetation restoration after the construction of the power transmission and transformation project mostly adopts historical experience, and the area after the construction of the power transmission and transformation project is generally planted on a large scale. However, the soil quality in different areas of the same region is very different, which makes it difficult to restore vegetation after the construction of the power transmission and transformation project. In order to realize the vegetation restoration after the construction of the power transmission and transformation project as soon as possible, a vegetation restoration management system and method after the construction of the power transmission and transformation project is urgently needed to solve the above problems. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems in the above-mentioned technology to a certain extent. To this end, the first aspect of the present invention aims to propose a vegetation restoration management method applied to the construction of power transmission and transformation projects, which improves the pertinence of vegetation restoration measures by testing the soil and determining the sowing plan according to its properties, can better adapt to different soil conditions, and improve the success rate and effect of vegetation restoration.

[0005] A second aspect of the present invention aims to provide a vegetation restoration management system for use after the construction of a power transmission and transformation project.

[0006] To achieve the above-mentioned purpose, the first embodiment of the present invention proposes a vegetation restoration management method applied to power transmission and transformation project construction, comprising:

[0007] Collect soil from the area after the construction of the power transmission and transformation project, and test the soil to determine the soil property information;

[0008] Determine a sowing plan for the area after the power transmission and transformation project is constructed based on the soil property information;

[0009] Based on the seeding scheme, vegetation restoration is carried out in the area after the construction of the power transmission and transformation project.

[0010] Preferably, the soil in the area after the power transmission and transformation project is constructed is collected and tested to determine the soil property information, including:

[0011] Testing the soil acidity in the area after the power transmission and transformation project is constructed to obtain a soil acidity test result; testing the barrenness characteristics of the soil in the area after the power transmission and transformation project is constructed to obtain a soil barrenness characteristic test result; determining a first test result based on the soil acidity test result and the barrenness characteristic test result;

[0012] Identify the soil structure of the soil in the area after the power transmission and transformation project is constructed to obtain a soil structure identification result; detect the water storage capacity of the soil in the area after the power transmission and transformation project is constructed to obtain a soil water storage capacity detection result, and determine a second detection result based on the soil structure detection result and the water storage capacity detection result;

[0013] Testing the base surface and slope of the soil in the area after the power transmission and transformation project is constructed to determine the third test result;

[0014] The soil property information of the soil is determined based on the first detection result, the second detection result and the third detection result.

[0015] Preferably, determining a sowing plan for the area after the power transmission and transformation project is constructed based on the soil property information includes:

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

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

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

[0019] The seeding plan 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, generating a first seeding strategy includes:

[0021] Comparing the pH value of the soil in the first test result with the pH value required for germination of the seeds to be sown, and comparing the test result of the barrenness characteristic of the soil in the first test result 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 greater than 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 adjust the pH value of the soil in the area after the construction of the power transmission and transformation project and add organic fertilizer;

[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 adjust the pH value of the soil in the area after the construction of the power transmission and transformation project;

[0024] If the pH value of the soil 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 is 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, generating a second seeding strategy includes:

[0026] If the second test result of the soil in the area after the power transmission and transformation project construction shows that the soil structure is loose, the soil in the area after the power transmission and transformation project construction is sown by hole sowing, and the sowing hole diameter is reduced and the sowing density is increased;

[0027] If the second test result of the soil in the area after the power transmission and transformation project construction shows that there are many cracks in the soil structure, the soil in the area after the power transmission and transformation project construction is sown in a row sowing manner, and the sowing hole diameter is reduced and the sowing density is increased;

[0028] If the second test result of the area after the construction of the power transmission and transformation project shows that the water storage capacity of the soil is poor, the soil in the area after the construction of the power transmission and transformation project is sown by broadcasting combined with slow-release moisture-retaining and fertilizing materials.

[0029] Preferably, based on the third detection result, generating a third seeding strategy includes:

[0030] Comparing the average slope of the base surface and the slope of the soil in the third detection result with a preset slope threshold;

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

[0032] Preferably, the soil structure of the soil in the area after the power transmission and transformation project is constructed is identified to obtain the soil structure identification result, including:

[0033] Acquire the image of soil in the area after the power transmission and transformation project is constructed to obtain the image to be identified;

[0034] Performing image enhancement on the image to be identified to obtain an enhanced image to be identified;

[0035] The enhanced image to be identified is input into the pre-trained soil structure identification model for identification to obtain the soil structure detection result.

[0036] Preferably, performing image enhancement on the image to be identified to obtain an enhanced image to be identified includes:

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

[0038] Randomly select a sub-image to be identified, and grayscale the sub-image to be identified to obtain a grayscale image;

[0039] Get the gray value of each pixel in the gray image;

[0040] Determine the gradient value corresponding to each pixel based on the grayscale value of each pixel;

[0041] Determine a local evaluation value of the grayscale image based on a first preset evaluation value algorithm according to the grayscale value of each pixel in the grayscale image and the gradient value corresponding to each pixel;

[0042] Comparing the local evaluation value of the grayscale image with a preset evaluation threshold;

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

[0044] If the local evaluation value is less than a preset evaluation threshold, the grayscale image is used as a 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 searched to determine a first enhancement coefficient corresponding to the first target image;

[0046] enhancing the first target image based on the first enhancement coefficient;

[0047] Enhance the pixel to be enhanced based on a second enhancement coefficient;

[0048] Traversing all pixel points in the second target image to complete image enhancement of the second target image;

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

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

[0051] Randomly select a pixel point in the second target image as the target pixel point;

[0052] Determine the target area with the target pixel as the center and the preset step size as the radius;

[0053] Get the maximum grayscale value, minimum grayscale value and mean grayscale value of the pixels in the target area;

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

[0055] Pixels whose grayscale values ​​are greater than or equal to the mean are taken as first grayscale pixels; pixels whose grayscale values ​​are less than the mean are taken as second grayscale pixels;

[0056] Calculate the difference between the grayscale maximum value of the pixel point in the target area and the grayscale value of the second grayscale pixel point, and sum them up to obtain a first sum value;

[0057] Calculate the difference between the grayscale value of the first grayscale pixel in the target area and the minimum grayscale value of the pixel in the target area, and sum them to obtain a second sum value;

[0058] Taking the square root of the sum of the squares of the first sum value and the second sum value, a first distribution parameter of the target area corresponding to the target pixel point is obtained;

[0059] Calculate the difference between the grayscale maximum value of the pixel points in the target area and the grayscale value of the target pixel point to obtain a first difference value;

[0060] Calculate the difference between the grayscale value of the target pixel and the minimum grayscale value of the pixels in the target area to obtain a second difference;

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

[0062] Determine the evaluation value of the target pixel point based on the first distribution parameter and the second distribution parameter of the target area corresponding to the target pixel point and based on the second preset evaluation value algorithm;

[0063] Comparing the evaluation value of the target pixel with a preset pixel evaluation threshold, and when it is determined that the evaluation value of the target pixel is less than the preset pixel evaluation threshold, taking the target pixel as a pixel to be enhanced;

[0064] Determine a second enhancement coefficient of the pixel to be enhanced 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-mentioned purpose, the second embodiment of the present invention proposes a vegetation restoration management system applied to power transmission and transformation project after construction, comprising:

[0067] The first determination module is used to collect soil in the area after the power transmission and transformation project is constructed, and to detect the soil to determine soil property information;

[0068] A second determination module is used to determine a sowing plan for the area after the power transmission and transformation project is constructed based on the soil property 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 seeding plan.

[0070] The present invention discloses a method and system for managing vegetation restoration after the construction of a power transmission and transformation project. By detecting the soil and determining a sowing plan according to its properties, the pertinence of vegetation restoration measures is improved, and it can better adapt to different soil conditions and improve the success rate and effect of vegetation restoration. Accurate sowing plans are helpful 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 ​​the power transmission and transformation project is beneficial to improving the local ecological environment and promoting the stability and balanced development of the ecosystem. Reasonable plan design can reduce failures and repeated work caused by inappropriate planting measures, thereby reducing the cost of vegetation restoration to a certain extent. It helps to ensure the long-term growth and stability of vegetation and lays a foundation for the sustainable development of the environment surrounding the power transmission and transformation project.

[0071] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0072] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

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

[0075] Figure 2 is a flow chart of determining soil property information of soil according to an embodiment of the present invention;

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

[0077] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0078] Example 1

[0079] like Figure 1 As shown, a vegetation restoration management method applied to power transmission and transformation project after construction includes S1-S3:

[0080] S1: Collecting soil from the area after the power transmission and transformation project is constructed, and testing the soil to determine soil property information;

[0081] S2: Determine a sowing plan for the area after the power transmission and transformation project is constructed based on the soil property information;

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

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

[0084] The beneficial effects of the above technical scheme are: by testing the soil and determining the sowing scheme according to its properties, the targeted nature of vegetation restoration measures is improved, which can better adapt to different soil conditions and improve the success rate and effect of vegetation restoration; accurate sowing schemes 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 ​​the power transmission and transformation project is conducive to improving the local ecological environment and promoting the stability and balanced development of the ecosystem; reasonable scheme design can reduce failures and duplication of work caused by inappropriate planting measures, thereby reducing the cost of vegetation restoration to a certain extent; it helps to ensure the long-term growth and stability of vegetation, and lays the foundation for the sustainable development of the environment surrounding the power transmission and transformation project.

[0085] Example 2

[0086] like Figure 2 As shown, the soil in the area after the construction of the power transmission and transformation project is collected and tested to determine the soil property information, including S11-S14:

[0087] S11: detecting the acidity of the soil in the area after the power transmission and transformation project is constructed to obtain a soil acidity detection result; detecting the barrenness characteristics of the soil in the area after the power transmission and transformation project is constructed to obtain a soil barrenness characteristics detection result; determining a first detection result based on the soil acidity detection result and the barrenness characteristics detection result;

[0088] S12: Identify the soil structure of the soil in the area after the power transmission and transformation project is constructed to obtain a soil structure identification result; detect the water storage capacity of the soil in the area after the power transmission and transformation project is constructed to obtain a soil water storage capacity detection result, and determine a second detection result based on the soil structure detection result and the water storage capacity detection result;

[0089] S13: testing the base surface and slope of the soil in the area after the power transmission and transformation project is constructed, and determining a third test result;

[0090] S14: Determine soil property information of the soil based on the first detection result, the second detection result and the third detection result.

[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 the pH test paper method: using a wide range of pH test paper to directly insert into the soil and contact with the soil leachate, and determining the pH value by comparing the color change with the colorimetric card; the 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; the colorimetric method: using a specific chemical reagent to react with the soil to produce a color change, and then comparing it with a standard colorimetric plate to determine the degree of acidity.

[0092] In this embodiment, the soil acidity detection result includes the pH value of the soil.

[0093] In this embodiment, the barrenness characteristics of the soil in 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 performed by chemical analysis methods; organic matter content detection: the organic matter content is determined by potassium dichromate oxidation method and other methods, and the organic matter content 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 barrenness of the soil to a certain extent.

[0094] In this embodiment, the test result of the barrenness characteristic of the soil includes the content of organic matter.

[0095] In this embodiment, the base of the soil and the slope of the side slope; the base of the soil usually refers to the relatively flat bottom area; the slope of the side slope refers to the degree of inclination of the side slope, which is generally expressed by the ratio of the vertical height of the slope to the horizontal distance, for example, 1:2 means that when the vertical height rises by 1 unit, the horizontal distance advances by 2 units. The size of the slope has an important impact on soil stability, soil erosion, etc. In construction projects such as power transmission and transformation projects, reasonable slope design and monitoring are very important for project safety and the surrounding environment.

[0096] In this embodiment, the detection of the base surface of the soil and the slope of the slope includes: level measurement: using a level to measure the elevation and calculate the slope; total station measurement: accurately measuring the angle and distance 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 to measure the slope; field measurement method: using simple measuring tools such as a tape measure, a protractor, etc. to perform manual field measurement and calculation.

[0097] The beneficial effects of the above technical scheme are: by testing and analyzing soil acidity, barrenness, soil structure, water storage capacity, base surface and slope gradient, etc., it is possible to fully and deeply understand the actual situation of regional soil after the construction of the power transmission and transformation project; based on different test results, corresponding sowing strategies are generated respectively, and finally the sowing plan is comprehensively 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 the various properties of the soil, it is helpful to select suitable plant varieties and planting methods, so as to better promote vegetation growth and improve 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 power transmission and transformation projects with the surrounding ecological environment, and improve the overall ecological benefits of the project; planning based on detailed soil test information can more reasonably allocate resources and arrange work, avoiding blindness and waste of resources.

[0098] Example 3

[0099] Determining a sowing plan for the area after the power transmission and transformation project is constructed based on the soil property information includes:

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

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

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

[0103] The seeding plan 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 solution are: strategies are formulated according to the different properties of the soil, so that the sowing plan is more in line with the actual soil conditions and the accuracy is improved. Comprehensive consideration of multiple factors such as acidity, barrenness, soil structure, etc. ensures that the plan is based on scientific analysis and judgment. Targeted strategies help to select suitable species and sowing methods, so as to achieve vegetation restoration faster and better; avoid the waste of resources caused by blind sowing, so that resources can be allocated and utilized more reasonably; can better adapt to the growth needs of vegetation under different soil conditions, and improve the survival rate and growth quality of vegetation; is conducive to building a more stable and healthy ecological environment, and reducing the impact of power transmission and transformation projects on the surrounding ecology; formulate strategies in steps, and finally comprehensively determine the plan to facilitate actual operation and implementation.

[0105] Example 4

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

[0107] Comparing the pH value of the soil in the first test result with the pH value required for germination of the seeds to be sown, and comparing the test result of the barrenness characteristic of the soil in the first test result 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 greater than 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 adjust the pH value of the soil in the area after the construction of the power transmission and transformation project and add organic fertilizer;

[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 adjust the pH value of the soil in the area after the construction of the power transmission and transformation project;

[0110] If the pH value of the soil 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 is added to the soil in the area after the construction of the power transmission and transformation project.

[0111] In this embodiment, the method of adjusting the pH value of the soil in the area after the construction of the power transmission and transformation project includes: 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 increase the pH value; use suitable acidic or alkaline fertilizers to gradually adjust; apply decomposed organic fertilizers to help improve soil structure and buffer soil pH; select irrigation water with appropriate pH as needed.

[0112] The beneficial effects of the above technical scheme are: making comparative analysis based on specific test results and seed requirements and formulating targeted strategies; providing a suitable growth environment for seeds by adjusting soil pH and supplementing organic matter, which is beneficial to improving germination rate and growth quality; avoiding unnecessary waste of resources and accurately carrying out soil improvement measures; helping sown plants to better adapt to the regional environment after the construction of power transmission and transformation projects; laying a good foundation for subsequent vegetation growth and ecological restoration; making flexible adjustments based on different soil conditions and seed requirements; and maintaining 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 result of the soil in the area after the power transmission and transformation project construction shows that the soil structure is loose, the soil in the area after the power transmission and transformation project construction is sown by hole sowing, and the sowing hole diameter is reduced and the sowing density is increased;

[0116] If the second test result of the soil in the area after the power transmission and transformation project construction shows that there are many cracks in the soil structure, the soil in the area after the power transmission and transformation project construction is sown in a row sowing manner, and the sowing hole diameter is reduced and the sowing density is increased;

[0117] If the second test result of the area after the construction of the power transmission and transformation project shows that the water storage capacity of the soil is poor, the soil in the area after the construction of the power transmission and transformation project is sown by broadcasting combined with slow-release moisture-retaining and fertilizing materials.

[0118] In this embodiment, the slow-release moisture-retaining and fertilizing materials include coated fertilizers: such as coated urea, which can slowly release nutrients; humic acid substances: which have certain moisture-retaining and soil fertility-increasing effects; high molecular polymers: such as polyacrylamide, which can retain water and improve soil structure; organic materials: such as decomposed straw, manure, etc., which can increase fertility and have certain moisture-retaining functions; zeolite: which can absorb nutrients and slowly release them, while helping to maintain soil moisture; bentonite: which has certain water-retaining and soil texture-improving properties.

[0119] The beneficial effects of the above technical scheme are: adopting different sowing strategies according to different soil conditions can better adapt to the special soil conditions in the area after the construction of the power transmission and transformation project, and improve the effectiveness and success rate of sowing; for the situation of loose soil structure and many cracks, by reducing the sowing aperture and increasing the sowing density, the stability of the soil can be enhanced to a certain extent; for soils with poor water storage capacity, combined with slow-release moisture retention and fertilization materials, it is helpful to improve the soil's water and fertilizer retention capacity; reasonable sowing methods and combined with specific materials can make more full and effective use of resources such as seeds and fertilizers; it is helpful to quickly establish suitable vegetation coverage in the area after the construction of the power transmission and transformation project, which plays a role in repairing and protecting the ecological environment.

[0120] Example 6

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

[0122] Comparing the average slope of the base surface and the slope of the soil in the third detection result with a preset slope threshold;

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

[0124] In this embodiment, a sowing plan is designed for hilly landforms, for example, the sowing depth at A is 30 cm, the sowing depth at B is 40 cm, and the sowing depth at C is 20 cm. Sowing planning is performed according to the three positions to achieve the purpose of automatic and rapid sowing; and in the sowing process, if the covering soil at A is better than the covering soil at C, and the covering soil at C is relatively poor, the covering soil at A is first collected, and the soil quality of C is adjusted by using the covering soil at A, and then C is sown. Sowing can be achieved during the process of taking the covering soil.

[0125] The beneficial effects of the above technical scheme are: it can timely adjust the sowing strategy according to the slope conditions of the soil base and the slope, and better adapt to areas with different slope characteristics after the construction of the power transmission and transformation project; by reasonably adjusting the sowing depth and the thickness of the soil cover, more suitable conditions are provided for seed growth, and the chances of seed germination and seedling survival are increased; it helps to maintain the stability of the soil under different slopes and reduce problems such as soil erosion; it makes targeted adjustments based on the specific slope conditions to achieve more scientific and accurate sowing operations, improve resource utilization efficiency and planting effects; it is conducive to establishing good vegetation coverage under different slope conditions, and promotes the overall recovery and improvement of the regional ecological environment after the construction of the power transmission and transformation project.

[0126] Example 7

[0127] Identify the soil structure of the area after the construction of the power transmission and transformation project, and obtain the soil structure identification results, including:

[0128] Acquire the image of soil in the area after the power transmission and transformation project is constructed to obtain the image to be identified;

[0129] Performing image enhancement on the image to be identified to obtain an enhanced image to be identified;

[0130] The enhanced image to be identified is input into the pre-trained soil structure identification model for identification to obtain the soil structure detection result.

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

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

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

[0134] Obtain test data sets of soil in the area after the construction of power transmission and transformation projects;

[0135] The initial soil structure recognition model is tested based on a test data set of soil in the area after the construction of the power transmission and transformation project. When the test result is qualified, a trained soil structure recognition model is obtained.

[0136] The beneficial effects of the above technical solution are: through image enhancement processing, the soil image can be made clearer and the 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 the soil structure results can be obtained quickly; the subjective influence of human factors on soil structure judgment is avoided, and the results are more reliable; accurate data support is provided for subsequent sowing strategy formulation, etc., which facilitates scientific management and decision-making.

[0137] Example 8

[0138] Performing image enhancement on the image to be identified to obtain an enhanced image to be identified, comprising:

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

[0140] Randomly select a sub-image to be identified, and grayscale the sub-image to be identified to obtain a grayscale image;

[0141] Get the gray value of each pixel in the gray image;

[0142] Determine the gradient value corresponding to each pixel based on the grayscale value of each pixel;

[0143] Determine a local evaluation value of the grayscale image based on a first preset evaluation value algorithm according to the grayscale value of each pixel in the grayscale image and the gradient value corresponding to each pixel;

[0144] Comparing the local evaluation value of the grayscale image with a preset evaluation threshold;

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

[0146] If the local evaluation value is less than a preset evaluation threshold, the grayscale image is used as a 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 searched to determine a first enhancement coefficient corresponding to the first target image;

[0148] enhancing the first target image based on the first enhancement coefficient;

[0149] Enhance the pixel to be enhanced based on a second enhancement coefficient;

[0150] Traversing all pixel points in the second target image to complete image enhancement of the second target image;

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

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

[0153] Among them, the first preset evaluation value algorithm includes:

[0154]

[0155] Among them, P i Represents the local evaluation value of the i-th grayscale image; Sigmoid() represents the normalization function; Represents the grayscale mean of all pixels in the i-th grayscale image; Represents the gradient mean of all pixels in the i-th grayscale image; Represents the grayscale mean of all pixels in all grayscale images adjacent to the i-th grayscale image; Represents the gradient mean 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 classification and summary of historical data.

[0158] The beneficial effects of the above technical scheme are: by dividing the image into sub-images and processing them separately, different areas can be enhanced more specifically to adapt to complex soil image conditions; the local evaluation value is determined according to the grayscale value and gradient value of the pixel point, so as to achieve more accurate enhancement coefficient selection and enhancement operation; the contrast and clarity of the image are effectively improved to make the soil characteristics more obvious, which is conducive to the subsequent soil structure identification; different strategies are adopted for sub-images of different qualities to better cope with various possible image situations; the enhanced image can provide a better quality input for the soil structure identification model, thereby improving the accuracy and reliability of identification; through different enhancement coefficients and methods, the flexibility and diversity of image enhancement processing are achieved.

[0159] Example 9

[0160] Enhancing the pixel to be enhanced based on the second enhancement coefficient includes:

[0161] Randomly select a pixel point in the second target image as the target pixel point;

[0162] Determine the target area with the target pixel as the center and the preset step size as the radius;

[0163] Get the maximum grayscale value, minimum grayscale value and mean grayscale value of the pixels in the target area;

[0164] Compare the grayscale value of the pixels in the target area with the mean value;

[0165] Pixels whose grayscale values ​​are greater than or equal to the mean are taken as first grayscale pixels; pixels whose grayscale values ​​are less than the mean are taken as second grayscale pixels;

[0166] Calculate the difference between the grayscale maximum value of the pixel point in the target area and the grayscale value of the second grayscale pixel point, and sum them up to obtain a first sum value;

[0167] Calculate the difference between the grayscale value of the first grayscale pixel in the target area and the minimum grayscale value of the pixel in the target area, and sum them to obtain a second sum value;

[0168] Taking the square root of the sum of the squares of the first sum value and the second sum value, a first distribution parameter of the target area corresponding to the target pixel point is obtained;

[0169] Calculate the difference between the grayscale maximum value of the pixel points in the target area and the grayscale value of the target pixel point to obtain a first difference value;

[0170] Calculate the difference between the grayscale value of the target pixel and the minimum grayscale value of the pixels in the target area to obtain a second difference;

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

[0172] Determine the evaluation value of the target pixel point based on the first distribution parameter and the second distribution parameter of the target area corresponding to the target pixel point and based on the second preset evaluation value algorithm;

[0173] Comparing the evaluation value of the target pixel with a preset pixel evaluation threshold, and when it is determined that the evaluation value of the target pixel is less than the preset pixel evaluation threshold, taking the target pixel as a pixel to be enhanced;

[0174] Determine a second enhancement coefficient of the pixel to be enhanced 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 area corresponding to the target pixel and the 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 represents the maximum grayscale value of the pixel points in the target area corresponding to the tth target pixel point; h tm h represents the mth second grayscale pixel in the target area corresponding to the tth target pixel; M represents the total number of second grayscale pixels in the target area corresponding to the tth target pixel; N represents the total number of first grayscale pixels in the target area corresponding to the tth target pixel; h represents the mth second grayscale pixel in the target area corresponding to the tth target pixel; tn g represents the nth first grayscale pixel in the target area corresponding to the tth target pixel; tmin represents the minimum grayscale value of the pixels in the target area 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, the second enhancement coefficient of the pixel to be enhanced is determined based on a preset enhancement algorithm; the preset enhancement algorithm includes:

[0182]

[0183] Among them, P t represents the enhancement coefficient of the t-th target pixel, Q is the grayscale mean of the pixels in the target area corresponding to the t-th target pixel; a represents the grayscale value of the t-th target pixel, n is the total number of pixels in the target area corresponding to the t-th target pixel; g tmax represents the maximum grayscale value of the pixel in the target area corresponding to the tth target pixel; g tmin Indicates the minimum grayscale value of the pixels in the target area corresponding to the t-th target pixel.

[0184] The beneficial effects of the above technical solution are: by carefully dividing the target area and analyzing the grayscale characteristics of the pixels therein, the pixels that need to be enhanced can be identified more accurately, thereby improving the targetedness of the enhancement; using parameters such as the maximum, minimum and mean grayscale values ​​to calculate distribution parameters and evaluation values ​​helps to comprehensively evaluate the status and characteristics of the pixels, thereby performing enhancement operations more reasonably; determining the pixels to be enhanced and the enhancement coefficients based on specific algorithms and thresholds makes the enhancement process more scientific and controllable, avoiding excessive or insufficient enhancement; this step-by-step analysis and processing method can adapt to the characteristics of different images, improves the adaptability and flexibility of the enhancement method to a certain extent, and may help to improve the overall quality and visual effects of the image.

[0185] like Figure 3 As shown, the second embodiment of the present invention proposes a vegetation restoration management system applied to power transmission and transformation project construction, including:

[0186] The first determination module is used to collect soil in the area after the power transmission and transformation project is constructed, and to detect the soil to determine soil property information;

[0187] A second determination module is used to determine a sowing plan for the area after the power transmission and transformation project is constructed based on the soil property 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 seeding plan.

[0189] The beneficial effects of the above technical scheme are: by testing the soil and determining the sowing scheme according to its properties, the targeted nature of vegetation restoration measures is improved, which can better adapt to different soil conditions and improve the success rate and effect of vegetation restoration; accurate sowing schemes 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 ​​the power transmission and transformation project is conducive to improving the local ecological environment and promoting the stability and balanced development of the ecosystem; reasonable scheme design can reduce failures and duplication of work caused by inappropriate planting measures, thereby reducing the cost of vegetation restoration to a certain extent; it helps to ensure the long-term growth and stability of vegetation, and lays the foundation for the sustainable development of the environment surrounding the power transmission and transformation project.

[0190] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A vegetation restoration management method applied to power transmission and transformation project construction, characterized in that: include: Collect soil from the area after the power transmission and transformation project is constructed, and test the soil to determine soil property information; Determine a sowing plan for the area after the power transmission and transformation project is constructed based on the soil property information; Based on the seeding scheme, vegetation restoration is carried out in the area after the construction of the power transmission and transformation project.

2. The vegetation restoration management method applied to power transmission and transformation project construction as claimed in claim 1, characterized in that: The soil in the area after the construction of the power transmission and transformation project is collected and tested to determine the soil property information, including: Testing the soil acidity in the area after the power transmission and transformation project is constructed to obtain a soil acidity test result; testing the barrenness characteristics of the soil in the area after the power transmission and transformation project is constructed to obtain a soil barrenness characteristic test result; determining a first test result based on the soil acidity test result and the barrenness characteristic test result; Identify the soil structure of the soil in the area after the power transmission and transformation project is constructed to obtain a soil structure identification result; detect the water storage capacity of the soil in the area after the power transmission and transformation project is constructed to obtain a soil water storage capacity detection result, and determine a second detection result based on the soil structure detection result and the water storage capacity detection result; Testing the base surface and slope of the soil in the area after the power transmission and transformation project is constructed to determine the third test result; The soil property information of the soil is determined based on the first detection result, the second detection result and the third detection result.

3. The vegetation restoration management method applied to power transmission and transformation project construction as claimed in claim 2 is characterized in that: Determining a sowing plan for the area after the power transmission and transformation project is constructed based on the soil property information includes: Based on the first detection result, generating a first seeding strategy; Based on the second detection result, generating a second seeding strategy; generating a third seeding strategy based on the third detection result; The seeding plan 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.

4. The vegetation restoration management method applied to power transmission and transformation project construction as claimed in claim 3 is characterized in that: Based on the first detection result, a first seeding strategy is generated, including: Comparing the pH value of the soil in the first test result with the pH value required for germination of the seeds to be sown, and comparing the test result of the barrenness characteristic of the soil in the first test result 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 greater than 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 adjust the pH value of the soil in the area after the construction of the power transmission and transformation project and add organic fertilizer; 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 adjust the pH value of the soil in the area after the construction of the power transmission and transformation project; If the pH value of the soil 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 is added to the soil in the area after the construction of the power transmission and transformation project.

5. The vegetation restoration management method applied to power transmission and transformation project construction as claimed in claim 3 is characterized in that: Based on the second detection result, a second seeding strategy is generated, including: If the second test result of the soil in the area after the power transmission and transformation project construction shows that the soil structure is loose, the soil in the area after the power transmission and transformation project construction is sown by hole sowing, and the sowing hole diameter is reduced and the sowing density is increased; If the second test result of the soil in the area after the power transmission and transformation project construction shows that there are many cracks in the soil structure, the soil in the area after the power transmission and transformation project construction is sown in a row sowing manner, and the sowing hole diameter is reduced and the sowing density is increased; If the second test result of the area after the construction of the power transmission and transformation project shows that the water storage capacity of the soil is poor, the soil in the area after the construction of the power transmission and transformation project is sown by broadcasting combined with slow-release moisture-retaining and fertilizing materials.

6. The vegetation restoration management method applied to power transmission and transformation project construction as claimed in claim 3, characterized in that: Based on the third detection result, a third seeding strategy is generated, including: Comparing the average slope of the base surface and the slope of the soil in the third detection result with a preset slope threshold; If the average slope of the base surface and the side slope of the soil in the area after the construction of the power transmission and transformation project is greater than the preset slope threshold, the sowing depth of the soil in the area after the construction of the power transmission and transformation project and the thickness of the soil cover after sowing in the area after the construction of the power transmission and transformation project are adjusted.

7. The vegetation restoration management method applied to power transmission and transformation project construction as claimed in claim 3 is characterized in that: Identify the soil structure of the area after the construction of the power transmission and transformation project, and obtain the soil structure identification results, including: Acquire the image of soil in the area after the power transmission and transformation project is constructed to obtain the image to be identified; Performing image enhancement on the image to be identified to obtain an enhanced image to be identified; The enhanced image to be identified is input into the pre-trained soil structure identification model for identification to obtain the soil structure detection result.

8. The vegetation restoration management method applied to power transmission and transformation project construction as claimed in claim 7, characterized in that: Performing image enhancement on the image to be identified to obtain an enhanced image to be identified, comprising: Take any image to be identified and divide it into a number of sub-images to be identified; Randomly select a sub-image to be identified, and grayscale the sub-image to be identified to obtain a grayscale image; Get the gray value of each pixel in the gray image; Determine the gradient value corresponding to each pixel based on the grayscale value of each pixel; Determine a local evaluation value of the grayscale image based on a first preset evaluation value algorithm according to the grayscale value of each pixel in the grayscale image and the gradient value corresponding to each pixel; Comparing the local evaluation value of the grayscale image with a preset evaluation threshold; If the local evaluation value is greater than or equal to a preset evaluation threshold, taking the grayscale image as the first target image; If the local evaluation value is less than a preset evaluation threshold, the grayscale image is used as a second target image; Based on the local evaluation value corresponding to the first target image, a preset local evaluation value-enhancement coefficient table is searched to determine a first enhancement coefficient corresponding to the first target image; enhancing the first target image based on the first enhancement coefficient; Enhance the pixel to be enhanced based on a second enhancement coefficient; Traversing all pixel points in the second target image to complete image enhancement of the second target image; The enhanced first target image and the enhanced second target image are fused to obtain an enhanced image to be recognized.

9. The vegetation restoration management method applied to power transmission and transformation project construction as claimed in claim 8, characterized in that: Enhancing the pixel to be enhanced based on the second enhancement coefficient includes: Randomly select a pixel point in the second target image as the target pixel point; Determine the target area with the target pixel as the center and the preset step size as the radius; Get the maximum grayscale value, minimum grayscale value and mean grayscale value of the pixels in the target area; Compare the grayscale values ​​of the pixels in the target area with the mean value; Pixels whose grayscale values ​​are greater than or equal to the mean are taken as first grayscale pixels; pixels whose grayscale values ​​are less than the mean are taken as second grayscale pixels; Calculate the difference between the grayscale maximum value of the pixel point in the target area and the grayscale value of the second grayscale pixel point, and sum them up to obtain a first sum value; Calculate the difference between the grayscale value of the first grayscale pixel in the target area and the minimum grayscale value of the pixel in the target area, and sum them to obtain a second sum value; Taking the square root of the sum of the squares of the first sum value and the second sum value, a first distribution parameter of the target area corresponding to the target pixel point is obtained; Calculate the difference between the grayscale maximum value of the pixel points in the target area and the grayscale value of the target pixel point to obtain a first difference value; Calculate the difference between the grayscale value of the target pixel and the minimum grayscale value of the pixels in the target area to obtain a second difference; Calculate the square sum of the first difference and the second difference and take the square root to obtain a second distribution parameter of the target area corresponding to the target pixel point; Determine the evaluation value of the target pixel point based on the first distribution parameter and the second distribution parameter of the target area corresponding to the target pixel point and based on the second preset evaluation value algorithm; Comparing the evaluation value of the target pixel with a preset pixel evaluation threshold, and when it is determined that the evaluation value of the target pixel is less than the preset pixel evaluation threshold, taking the target pixel as a pixel to be enhanced; Determine a second enhancement coefficient of the pixel to be enhanced based on a preset enhancement algorithm; The pixel to be enhanced is enhanced based on the second enhancement coefficient.

10. A vegetation restoration management system applied to power transmission and transformation project after construction, characterized in that: include: The first determination module is used to collect soil in the area after the power transmission and transformation project is constructed, and to detect the soil to determine soil property information; A second determination module is used to determine a sowing plan for the area after the power transmission and transformation project is constructed based on the soil property 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 seeding plan.

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