Method for formulating vegetation recovery scheme of power transmission and transformation project in earth-rock mountainous area in Hebei province based on consideration of weather resistance of plants

Abstract

The invention discloses a method, a device, equipment and a medium for formulating a vegetation recovery scheme of a power transmission and transformation project in a Hebei earth-rock mountainous area based on consideration of weather resistance of plants. According to the technical scheme provided by the invention, field survey data of a power transmission and transformation project range is acquired, and corresponding first vegetation type information and soil condition information in the project range are extracted; determining a candidate list based on the vegetation type information corresponding to the engineering range, evaluating the engineering range based on the soil condition information, and dividing the engineering range into at least one block based on an evaluation result; based on the evaluation result corresponding to the block, selecting a target vegetation type from the candidate list as a vegetation restoration object of the block; and determining a planting scheme based on the vegetation restoration object selected by each block and the evaluation result. According to the invention, the vegetation type and the soil condition of the engineering area are analyzed, and the climate type of the power transmission and transformation engineering area is combined, so that the vegetation recovery scheme according with climate and geological conditions is scientifically and specifically determined.

Description

Technical Field

[0001] The present invention relates to the field of environmental protection, and in particular to a method, device, computing equipment and computer storage medium for formulating a vegetation restoration plan for a power transmission and transformation project in a rocky mountainous area in northern Hebei Province based on plant weather resistance. Background Art

[0002] As one of the most important infrastructure constructions in the country, power transmission and transformation projects are the basis for ensuring the basic operation of society, maintaining the basic life of the people, and promoting social development. Therefore, the wide range of projects involved is also one of the important characteristics of power transmission and transformation projects. Generally speaking, power transmission and transformation projects are likely to span multiple provinces to complete long-distance power transmission. However, due to its huge scope of projects, after the completion of the construction of power transmission and transformation projects, it is easy to cause ecological damage to large areas of the project area. It is necessary to carry out ecological restoration through artificial intervention to reduce the destructive impact of power transmission and transformation projects on the surrounding environment, so that the surrounding natural environment can meet the relevant environmental requirements again.

[0003] However, the current ecological restoration plan for power transmission and transformation projects usually selects a very small number of vegetation species and plants them in the project area in a unified planting method to carry out ecological restoration. However, this method has a single planting species, and the planting method, such as planting density, is also single. In a huge project area that may contain a variety of climates and soil types, the selected plant species and planting methods may not be able to adapt to the soil conditions and climate conditions of some project areas. The survival rate of planting cannot be guaranteed, making it impossible for the ecological environment of the project area to recover quickly, and it is likely that the expected purpose will not be achieved. At the same time, it also causes great waste and increases the initial cost and later maintenance cost of ecological restoration. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a method for formulating a vegetation restoration plan for a power transmission and transformation project in the earth-rock mountainous area of ​​northern Hebei based on plant weather resistance, and a corresponding device, computing equipment and computer storage medium for formulating a vegetation restoration plan for a power transmission and transformation project in the earth-rock mountainous area of ​​northern Hebei based on plant weather resistance.

[0005] According to one aspect of the present invention, a method for formulating a vegetation restoration plan for a power transmission and transformation project in a rocky mountainous area in northern Hebei Province based on plant weather resistance is provided, the method comprising:

[0006] Acquire the construction information of the power transmission and transformation project and the field survey data of the power transmission and transformation project scope, and extract the first vegetation type information and soil condition information corresponding to the power transmission and transformation project scope;

[0007] Determine an initial vegetation candidate list based on the power transmission and transformation project scope and its corresponding vegetation type information, evaluate the power transmission and transformation project scope based on soil condition information, and divide the power transmission and transformation project scope into at least one block based on the soil evaluation result;

[0008] Based on the soil evaluation results corresponding to each block, select the target vegetation type from the initial vegetation candidate list as the vegetation restoration object of the corresponding block;

[0009] Based on the vegetation restoration objects selected for each block and the soil evaluation results, the corresponding planting plan for the block is determined.

[0010] In the above scheme, the obtaining of the construction information of the power transmission and transformation project and the field survey data of the power transmission and transformation project scope, and extracting the first vegetation type information and soil condition information corresponding to the power transmission and transformation project scope, further includes:

[0011] The first vegetation type information is the existing vegetation types within the power transmission and transformation project, and at least includes herbaceous plants and woody plants within the power transmission and transformation project; wherein the woody plants at least include shrubs;

[0012] The soil condition information at least includes permeability, water retention, soil moisture, pH value and organic matter content.

[0013] In the above solution, the determining of the initial vegetation candidate list based on the power transmission and transformation project scope and the first vegetation type information corresponding thereto further includes:

[0014] Determine the geographical location information corresponding to the power transmission and transformation project scope based on the power transmission and transformation project scope;

[0015] Determine the climate zone and corresponding climate type of the power transmission and transformation project scope based on the geographical location information;

[0016] Based on the corresponding climate type, determining common vegetation types under the climate type as second vegetation type information;

[0017] An initial vegetation candidate list is generated according to the first vegetation type information and the second vegetation type information.

[0018] In the above scheme, the soil evaluation result at least includes soil type and soil fertility grade;

[0019] The step of evaluating the scope of the power transmission and transformation project based on soil condition information and dividing the scope of the power transmission and transformation project into at least one block based on the soil evaluation result further includes:

[0020] Determine the soil type and soil fertility level of each sampling location based on soil condition information;

[0021] Generating soil evaluation results based on each sampling location and its corresponding climate type, soil type and soil fertility level, dividing the scope of the power transmission and transformation project into at least one block;

[0022] Each block is divided into at least one sub-block based on the soil fertility level.

[0023] In the above scheme, the method further comprises:

[0024] Based on the seasonal information of the restoration plan, the soil type in the soil evaluation results, and the climate type of each block, the target vegetation type corresponding to each block is selected from the initial vegetation candidate list; wherein the target vegetation type includes at least one ground cover plant and one non-creeping shrub;

[0025] Based on the soil fertility level of each sub-block in each block, the planting density corresponding to the target vegetation type is determined.

[0026] In the above scheme, the method further comprises:

[0027] Constructing a planting plan determination model based on soil evaluation results and planting cost parameters; wherein the planting parameters of the planting plan at least include target vegetation types and planting density;

[0028] Obtain historical planting data for each plant species in the initial vegetation candidate list under the same soil type and climate type as the current block; wherein the historical planting data at least includes corresponding planting density, survival rate and single plant cost;

[0029] The planting scheme determination model was solved based on the NS-MFO algorithm to determine the planting parameters corresponding to each block.

[0030] In the above scheme, the method further comprises:

[0031] The planting parameter determination model is:

[0032]

[0033] Where X = [x1, x2…x n ] is the decision variable of the planting parameters, which at least includes the vegetation types in the initial vegetation candidate list and their corresponding planting density, growth time, survival rate and single plant cost, Y = [y1, y2…y n ] is the target vector of planting parameters; φ i (X) represents k inequalities that the planting scheme needs to satisfy, including at least that the survival rate is not lower than the preset survival rate and the cost per plant is not higher than the preset cost.

[0034] According to another aspect of the present invention, a device for formulating vegetation restoration plans for power transmission and transformation projects in the soil and rock mountainous areas of northern Hebei Province based on plant weather resistance is provided, comprising: an information acquisition module, a soil evaluation module, a vegetation selection module, and a plan determination module; wherein:

[0035] The information acquisition module is used to acquire the construction information of the power transmission and transformation project and the field survey data of the power transmission and transformation project scope, and extract the first vegetation type information and soil condition information corresponding to the power transmission and transformation project scope;

[0036] The soil evaluation module is used to determine an initial vegetation candidate list based on the power transmission and transformation project scope and its corresponding vegetation type information, evaluate the power transmission and transformation project scope based on soil condition information, and divide the power transmission and transformation project scope into at least one block based on the soil evaluation result;

[0037] The vegetation selection module is used to select target vegetation types from the initial vegetation candidate list as vegetation restoration objects for the corresponding blocks based on the soil evaluation results corresponding to each block;

[0038] The scheme determination module is used to determine the corresponding block planting scheme based on the vegetation restoration objects selected for each block and the soil evaluation results.

[0039] According to another aspect of the present invention, there is provided a computing device, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus;

[0040] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform operations corresponding to the above-mentioned method for formulating a vegetation restoration plan for a power transmission and transformation project in the earth-rock mountainous area of ​​northern Hebei based on plant weather resistance.

[0041] According to another aspect of the present invention, a computer storage medium is provided, in which at least one executable instruction is stored, and the executable instruction enables a processor to perform operations corresponding to the above-mentioned method for formulating a vegetation restoration plan for a power transmission and transformation project in the earth-rock mountainous area of ​​northern Hebei based on plant weather resistance.

[0042] According to the technical solution provided by the present invention, construction information of a power transmission and transformation project and field survey data of the scope of the power transmission and transformation project are obtained, and first vegetation type information and soil condition information corresponding to the scope of the power transmission and transformation project are extracted therefrom; an initial vegetation candidate list is determined based on the scope of the power transmission and transformation project and its corresponding vegetation type information, the scope of the power transmission and transformation project is evaluated based on the soil condition information, and the scope of the power transmission and transformation project is divided into at least one block based on the soil evaluation results; based on the soil evaluation results corresponding to each block, a target vegetation type is selected from the initial vegetation candidate list as a vegetation restoration object for the corresponding block; and based on the vegetation restoration objects selected for each block and the soil evaluation results, a corresponding block planting plan is determined. By analyzing the construction information of the power transmission and transformation project and the field survey data of the project scope, the project scope and the expected season for the implementation of the construction restoration plan are determined, and the existing plant types and soil condition information within the scope are determined. Based on the geographical information of the project scope and the corresponding climate type, common vegetation types are determined. Combined with the existing plant types, an initial vegetation candidate list is determined to ensure that the candidate plant species in the list can be planted and grown normally in the project area, ensuring the survival of the subsequently selected plant species, reducing their risk of death, and thus reducing the overall cost of the plan and the risk of resource waste; the soil type and soil at the sampling location are obtained by analyzing the soil condition information. Fertility level, combined with climate type to generate evaluation results, so as to divide the project scope into different blocks and sub-blocks within the blocks, select target vegetation types including ground cover plants and non-creeping shrubs for the blocks, and further determine the planting density within the sub-blocks according to the soil fertility level, so as to carry out targeted block division and scientifically select suitable plant species for planting, improve the survival rate, and increase the complexity of target vegetation species, which is beneficial to the biodiversity in the region and accelerate the recovery of the ecological environment in the region. By distinguishing the planting density of different sub-blocks, the survival rate is further improved, the initial planting cost and subsequent maintenance cost are reduced, and the risk of resource waste is also reduced. In addition, in view of the multivariate and multi-objective characteristics of the planting plan, a planting plan determination model is constructed, and based on various relevant data, the NS-MFO algorithm is used to solve it, so as to further take into account variables such as growth time and single plant cost, and more reasonably determine the specific planting plan, further improve the scientific nature of the overall plan, and reduce the cost of ecological restoration.

[0043] 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.

[0044] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] 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:

[0046] Figure 1 A schematic flow chart of a method for formulating a vegetation restoration plan for a power transmission and transformation project in a rocky mountainous area in northern Hebei based on plant weather resistance according to an embodiment of the present invention is shown;

[0047] Figure 2 A schematic flow chart of a method for determining a vegetation candidate list according to an embodiment of the present invention is shown;

[0048] Figure 3 A schematic diagram of a process for dividing vegetation restoration blocks within a power transmission and transformation project according to an embodiment of the present invention is shown;

[0049] Figure 4 A schematic flow chart of a method for determining planting parameters based on a planting scheme determination model according to an embodiment of the present invention is shown;

[0050] Figure 5 A structural block diagram of a device for formulating a vegetation restoration plan for a power transmission and transformation project in a rocky mountainous area in northern Hebei Province based on plant weather resistance is shown according to an embodiment of the present invention;

[0051] Figure 6 A schematic structural diagram of a computing device according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0052] 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.

[0053] Figure 1 A flow chart of a method for formulating a vegetation restoration plan for a power transmission and transformation project in a rocky mountainous area in northern Hebei based on plant weather resistance according to an embodiment of the present invention is shown. The method comprises the following steps:

[0054] Step S101, obtaining construction information of a power transmission and transformation project and field survey data of the power transmission and transformation project scope, and extracting first vegetation type information and soil condition information corresponding to the power transmission and transformation project scope.

[0055] Specifically, the first vegetation type information is the existing vegetation types within the scope of the power transmission and transformation project, and at least includes herbaceous plants and woody plants within the scope of the power transmission and transformation project.

[0056] Preferably, the woody plants include at least shrubby plants.

[0057] Since the overall scope of the power transmission and transformation project is huge, there may be large differences in terrain at different locations. Therefore, for the plant species used for ecological restoration, herbaceous plants and shrubs with small requirements for planting terrain are preferred. In locations with sufficient height space, tree plants are further selected. The specific selection method is not limited here.

[0058] Specifically, the soil condition information includes at least permeability, water retention, soil moisture, pH value and organic matter content.

[0059] Preferably, based on the climate type of the northern Hebei region, the first vegetation type information of the northern Hebei region and the soil condition information of the corresponding area are determined.

[0060] Step S102, determining an initial vegetation candidate list based on the power transmission and transformation project scope and its corresponding vegetation type information, evaluating the power transmission and transformation project scope based on soil condition information, and dividing the power transmission and transformation project scope into at least one block based on the soil evaluation result.

[0061] Step S103, based on the soil evaluation results corresponding to each block and combined with the seasonal information of the expected implementation of the restoration plan, select the target vegetation type from the initial vegetation candidate list as the vegetation restoration object of the corresponding block.

[0062] Preferably, based on the information of the season in which the restoration plan is expected to be implemented and the growth habits of each vegetation type in the initial vegetation candidate list, vegetation types suitable for planting in that season are selected as vegetation restoration objects.

[0063] Step S104: Determine the corresponding planting plan for each block based on the vegetation restoration objects selected for each block and the soil evaluation results.

[0064] According to a method for formulating a vegetation restoration plan for a power transmission and transformation project in a rocky mountainous area in northern Hebei based on plant weather resistance, construction information of the power transmission and transformation project and field survey data of the power transmission and transformation project scope are obtained, and first vegetation type information and soil condition information corresponding to the power transmission and transformation project scope are extracted therefrom; an initial vegetation candidate list is determined based on the power transmission and transformation project scope and its corresponding vegetation type information, the power transmission and transformation project scope is evaluated based on the soil condition information, and the power transmission and transformation project scope is divided into at least one block based on the soil evaluation results; based on the soil evaluation results corresponding to each block and in combination with the seasonal information when the restoration plan is expected to be implemented, a target vegetation type is selected from the initial vegetation candidate list as the vegetation restoration object for the corresponding block; based on the vegetation restoration objects selected for each block and the soil evaluation results, a corresponding block planting plan is determined. The present embodiment provides a method for formulating a vegetation restoration plan for a power transmission and transformation project in a rocky mountainous area in northern Hebei based on plant weather resistance. By analyzing the construction information of the power transmission and transformation project and the field survey data of the project scope, the project scope and the expected season for the implementation of the restoration plan for the construction are determined, and the existing plant types and soil condition information within the scope are determined. Based on the geographic information of the project scope and the corresponding climate type, common vegetation types are determined. Combined with the existing plant types, an initial vegetation candidate list is determined to ensure that the candidate plant species in the list are all capable of being planted and grown normally in the project area, thereby ensuring the quality of the plant species subsequently selected. The survival status of the trees is analyzed, which reduces the risk of death, thereby reducing the overall cost of the program and the risk of resource waste; by analyzing the soil condition information and combining the climate type to generate evaluation results, the project scope is divided into different blocks, and the target vegetation types including ground cover plants and non-creeping shrubs are selected for the blocks. In this way, the blocks are divided in a targeted manner and suitable plant species are scientifically selected for planting, which improves the survival rate and increases the complexity of the target vegetation types, which is beneficial to the biodiversity in the area, accelerates the recovery of the ecological environment in the area, reduces the initial planting cost and subsequent maintenance cost, and also reduces the risk of resource waste.

[0065] Figure 2 A schematic diagram of a process of determining a vegetation candidate list according to an embodiment of the present invention is shown;

[0066] like Figure 2 As shown, the method comprises the following steps:

[0067] Step S201, determining geographical location information corresponding to the power transmission and transformation project scope based on the power transmission and transformation project scope.

[0068] Step S202, determining the climate zone and the corresponding climate type of the power transmission and transformation project according to the geographical location information.

[0069] Preferably, the climate zones included in the scope of the power transmission and transformation project are first determined based on the geographical location information, and then the scopes corresponding to different climate types are further determined.

[0070] For example, the power transmission and transformation project as a whole is located in the temperate and subtropical zones, which specifically include three climate types: temperate continental climate, temperate monsoon climate and subtropical monsoon climate. Therefore, it is necessary to further determine the corresponding areas of these three climate types within the scope of the power transmission and transformation project.

[0071] Step S203: Based on the corresponding climate type, determine the common vegetation types under the climate type as the second vegetation type information.

[0072] Preferably, after determining the common vegetation types under different climate types, commonly used afforestation vegetation types are screened therefrom to generate the second vegetation type information.

[0073] Step S204: Generate an initial vegetation candidate list according to the first vegetation type information and the second vegetation type information.

[0074] An initial vegetation candidate list is generated by combining first vegetation type information characterizing native vegetation in the project area and second vegetation type information characterizing commonly used afforestation vegetation types under corresponding climate types.

[0075] According to the above method, the existing plant types and soil condition information within the scope can be determined, and the common vegetation types can be determined based on the geographic information of the project scope and the corresponding climate type. Combined with the existing plant types, an initial vegetation candidate list is determined to ensure that the candidate plant species in the list can be planted and grown normally in the project area, thereby ensuring the survival of the subsequently selected plant species, reducing their risk of death, and thereby reducing the overall cost of the plan and the risk of resource waste.

[0076] Figure 3 A schematic diagram of a process for dividing vegetation restoration blocks within a power transmission and transformation project according to an embodiment of the present invention is shown;

[0077] like Figure 3 As shown, the method comprises the following steps:

[0078] Step S301, determining the soil type and soil fertility level of each sampling location according to soil condition information.

[0079] Specifically, the soil type is determined based on permeability, water retention, soil moisture, and pH value, and the soil fertility level is determined based on the organic matter content.

[0080] Step S302, generating soil evaluation results based on each sampling location and its corresponding climate type, soil type and soil fertility grade, and dividing the scope of the power transmission and transformation project into at least one block.

[0081] Preferably, the soil evaluation result includes at least soil type and soil fertility grade.

[0082] Specifically, the topography of the location is determined based on the sampling location, and the climate type, soil type and soil fertility level corresponding to the location are combined to generate a soil evaluation result;

[0083] Based on the soil evaluation results, areas with the same topography, climate type and soil type and adjacent sampling locations are grouped as one block; among them, the topography includes at least plains, plateaus, mountains, hills and basins.

[0084] Step S303: Divide each block into at least one sub-block based on the soil fertility level.

[0085] Furthermore, based on the seasonal information of the restoration plan, the soil type in the soil evaluation results, and the climate type of each block, the target vegetation type corresponding to each block is selected from the initial vegetation candidate list; wherein the target vegetation type includes at least one ground cover plant and one non-creeping shrub;

[0086] Based on the soil fertility level of each sub-block in each block, the planting density corresponding to the target vegetation type is determined.

[0087] Among them, the ground cover plants include at least herbaceous plants and creeping shrubs, so that the target vegetation species is at least a combination of one ground cover plant and one non-creeping shrub, forming a planting difference, and better completing the restoration of the ecological environment while ensuring the growth of each.

[0088] According to the above method, the soil type and soil fertility level of the sampling location can be obtained by analyzing the soil condition information, and the evaluation results can be generated in combination with the climate type. The project scope can be divided into different blocks and sub-blocks within the blocks. The target vegetation type including ground cover plants and non-creeping shrubs is selected for the blocks, and the planting density within the sub-block is further determined according to the soil fertility level. In this way, the block division is carried out in a targeted manner and suitable plant species are scientifically selected for planting, which improves the survival rate and increases the complexity of the target vegetation species, which is beneficial to the biodiversity in the region and accelerates the recovery of the ecological environment in the region. The survival rate is further improved by distinguishing the planting density of different sub-blocks, which reduces the initial planting cost and subsequent maintenance cost, and also reduces the risk of resource waste.

[0089] Figure 4 A schematic flow chart of a method for determining planting parameters based on a planting scheme determination model according to an embodiment of the present invention is shown;

[0090] like Figure 4As shown, the method comprises the following steps:

[0091] Step S401, constructing a planting plan determination model based on soil evaluation results and planting cost parameters.

[0092] Specifically, the planting parameters of the planting plan include at least target vegetation type and planting density.

[0093] Step S402: acquiring historical planting data for each plant type in the initial vegetation candidate list under the same soil type and climate type as the current block.

[0094] Preferably, the historical planting data at least includes the corresponding planting season, climate type, growth information, planting density, survival rate and cost per plant.

[0095] Step S403: Solve the planting plan determination model based on the NS-MFO algorithm to determine the planting parameters corresponding to each block.

[0096] Specifically, the planting parameter determination model is:

[0097]

[0098] Where X = [x1, x2…x n ] is the decision variable of the planting parameters, which at least includes the vegetation types in the initial vegetation candidate list and their corresponding planting density, growth time, survival rate and single plant cost, Y = [y1, y2…y n ] is the target vector of planting parameters; φ i (X) represents k inequalities that the planting scheme needs to satisfy, including at least that the survival rate is not lower than the preset survival rate and the cost per plant is not higher than the preset cost.

[0099] Preferably, the decision variables may also include growth year and maintenance cost.

[0100] Among them, the growth time is the time required for a plant to grow from a seed or seedling to the growing period; the growth year is the time period from the planting of a plant to its death.

[0101] Preferably, the corresponding preset cost and maintenance cost can be determined based on the GDP of the area where the block is located.

[0102] Preferably, the inequalities that the planting plan needs to satisfy may also include that the maintenance cost is not higher than the preset maintenance cost, the growing year is not less than the preset year, the growing time is not higher than the preset growing time, etc. According to the actual situation, the user can add decision variables and set the corresponding conditions that need to be met, which are not limited here.

[0103] Furthermore, a vegetation growth model was constructed using deep learning technology based on convolutional neural networks.

[0104] Preferably, the first hidden layer based on the convolutional neural network extracts features of vegetation growth information; the second hidden layer based on the convolutional neural network extracts features of planting season and climate information; the third hidden layer based on the convolutional neural network extracts features of planting parameters;

[0105] z1=f(M 12 ·f(M 11 G+α 11 )+α 12 )

[0106] z2=f(M 22 ·f(M 21 ·W+α 21 )+α 22 )

[0107] z3=f(M 32 ·f(M 31 ·Y′+α 31 )+α 32 )

[0108] Among them, z1, z2, and z3 are the output vectors of the first, second, and third hidden layers respectively; M 11 and M 12 is the weight matrix of the first hidden layer, α 11 and α 12 is the bias of the first hidden layer; M 21 and M 22 is the weight matrix of the second hidden layer, α 21 and α 22 is the bias of the second hidden layer; M 31 and M 32 is the weight matrix of the third hidden layer, α 31 and α 32 is the bias of the third hidden layer; G is the growth parameter vector in the vegetation growth information; W is the climate parameter vector; Y′ is the planting parameter vector.

[0109] The prediction result of vegetation growth is determined based on the output results of the first hidden layer, the second hidden layer, and the third hidden layer.

[0110] The plant growth model is trained based on the historical planting data of various plants in the initial vegetation candidate list to obtain a trained vegetation growth model.

[0111] Preferably, the condition for training completion may be that the loss function converges; wherein,

[0112] The loss function selects the mean square error (MSE) loss, that is,

[0113]

[0114] Among them, L MSE is the loss function; N is the number of training samples; z 4i To predict the results; is the true value corresponding to the predicted result.

[0115] The vegetation growth model is used to predict the growth of various plants in the initial vegetation candidate list. According to the growth prediction results, the target vegetation type and its corresponding planting plan are determined, or the already determined planting plan is adjusted.

[0116] According to the above method, a planting plan determination model can be constructed based on the multivariable and multi-objective characteristics of the planting plan, and the NS-MFO algorithm can be used to solve it based on various relevant data. This further takes into account variables such as growth time and single plant cost, and more reasonably determines the specific planting plan, further improves the scientific nature of the overall plan, and reduces the cost of ecological restoration.

[0117] Figure 5 FIG. 1 shows a structural block diagram of a vegetation restoration plan formulation device for power transmission and transformation projects in the rocky mountainous area of ​​northern Hebei based on plant weather resistance according to an embodiment of the present invention. Figure 5 As shown, the system includes: an information acquisition module 501, a soil evaluation module 502, a vegetation selection module 503 and a solution determination module 504; wherein,

[0118] The information acquisition module 501 is used to acquire the construction information of the power transmission and transformation project and the field survey data of the power transmission and transformation project scope, and extract the first vegetation type information and soil condition information corresponding to the power transmission and transformation project scope.

[0119] Specifically, the information acquisition module 501 is further used to:

[0120] The first vegetation type information is the existing vegetation types within the power transmission and transformation project, and at least includes herbaceous plants and woody plants within the power transmission and transformation project; wherein the woody plants at least include shrubs;

[0121] The soil condition information at least includes permeability, water retention, soil moisture, pH value and organic matter content.

[0122] The soil evaluation module 502 is used to determine an initial vegetation candidate list based on the power transmission and transformation project scope and its corresponding vegetation type information, evaluate the power transmission and transformation project scope based on soil condition information, and divide the power transmission and transformation project scope into at least one block based on the soil evaluation result.

[0123] Specifically, the soil evaluation module 502 is further used to:

[0124] Determine the geographical location information corresponding to the power transmission and transformation project scope based on the power transmission and transformation project scope;

[0125] Determine the climate zone and corresponding climate type of the power transmission and transformation project scope based on the geographical location information;

[0126] Based on the corresponding climate type, determining common vegetation types under the climate type as second vegetation type information;

[0127] According to the first vegetation type information and the second vegetation type information, an initial vegetation candidate list is generated. Preferably, the soil evaluation module 502 is further used to:

[0128] Determine the soil type and soil fertility level of each sampling location based on soil condition information;

[0129] Generating soil evaluation results based on each sampling location and its corresponding climate type, soil type and soil fertility level, dividing the scope of the power transmission and transformation project into at least one block;

[0130] Each block is divided into at least one sub-block based on the soil fertility level.

[0131] The vegetation selection module 503 is used to select target vegetation types from the initial vegetation candidate list as vegetation restoration objects for the corresponding blocks based on the soil evaluation results corresponding to each block and in combination with the seasonal information of the expected implementation of the restoration plan.

[0132] Preferably, the vegetation selection module 503 is further used to:

[0133] Based on the seasonal information of the restoration plan, the soil type in the soil evaluation results, and the climate type of each block, the target vegetation type corresponding to each block is selected from the initial vegetation candidate list; wherein the target vegetation type includes at least one ground cover plant and one non-creeping shrub;

[0134] Based on the soil fertility level of each sub-block in each block, the planting density corresponding to the target vegetation type is determined.

[0135] The scheme determination module 504 is used to determine the corresponding block planting scheme based on the vegetation restoration objects selected for each block and the soil evaluation results.

[0136] Preferably, the solution determination module 504 is further configured to:

[0137] Constructing a planting plan determination model based on soil evaluation results and planting cost parameters; wherein the planting parameters of the planting plan at least include target vegetation types and planting density;

[0138] Obtain historical planting data for each plant species in the initial vegetation candidate list under the same soil type and climate type as the current block; wherein the historical planting data at least includes corresponding planting density, survival rate and single plant cost;

[0139] The planting scheme determination model was solved based on the NS-MFO algorithm to determine the planting parameters corresponding to each block.

[0140] Preferably, the solution determination module 504 is further configured to:

[0141] The planting parameter determination model is:

[0142]

[0143] Where X = [x1, x2…x n ] is the decision variable of the planting parameters, which at least includes the vegetation types in the initial vegetation candidate list and their corresponding planting density, growth time, survival rate and single plant cost, Y = [y1, y2…y n ] is the target vector of planting parameters; φ i (X) represents k inequalities that the planting scheme needs to satisfy, including at least that the survival rate is not lower than the preset survival rate and the cost per plant is not higher than the preset cost.

[0144] According to the present embodiment, the vegetation restoration plan formulation device for power transmission and transformation projects in the rocky mountainous areas of northern Hebei based on plant weather resistance considerations includes: an information acquisition module, a soil evaluation module, a vegetation selection module and a plan determination module; wherein the information acquisition module is used to obtain the construction information of the power transmission and transformation project and the field survey data of the power transmission and transformation project scope, and extract the first vegetation type information and soil condition information corresponding to the power transmission and transformation project scope from the information; the soil evaluation module is used to determine the initial vegetation candidate list based on the power transmission and transformation project scope and its corresponding vegetation type information, evaluate the power transmission and transformation project scope based on the soil condition information, and divide the power transmission and transformation project scope into at least one block based on the soil evaluation result; the vegetation selection module is used to select the target vegetation type from the initial vegetation candidate list as the vegetation restoration object of the corresponding block based on the soil evaluation result corresponding to each block and the seasonal information of the expected implementation of the restoration plan; the plan determination module is used to determine the corresponding block planting plan based on the vegetation restoration object selected for each block and the soil evaluation result. Through the vegetation restoration plan formulation device for power transmission and transformation projects in the rocky mountainous areas of northern Hebei based on plant weather resistance considerations provided by this embodiment, by analyzing the construction information of the power transmission and transformation project and the field survey data of the project scope, the project scope and the expected season for the implementation of the restoration plan for the construction are determined, and the existing plant types and soil condition information within the scope are determined. Based on the geographic information of the project scope and the corresponding climate type, common vegetation types are determined, and combined with the existing plant types, an initial vegetation candidate list is determined to ensure that the candidate plant species in the list are all able to be planted and grown normally in the project area, thereby ensuring the survival of the subsequently selected plant species, reducing their risk of death, and thereby reducing the overall cost of the plan and the risk of waste of resources; by analyzing The soil condition information obtains the soil type and soil fertility level of the sampling location, and generates evaluation results in combination with the climate type, thereby dividing the project scope into different blocks and sub-blocks within the blocks. The target vegetation types including ground cover plants and non-creeping shrubs are selected for the blocks, and the planting density within the sub-blocks is further determined according to the soil fertility level. In this way, the block division is carried out in a targeted manner and suitable plant species are scientifically selected for planting, which improves the survival rate and increases the complexity of the target vegetation species, which is beneficial to the biodiversity in the region and accelerates the recovery of the ecological environment in the region. The survival rate is further improved by distinguishing the planting density of different sub-blocks, reducing the initial planting cost and subsequent maintenance cost, and reducing the risk of resource waste. In addition, in view of the multivariate and multi-objective characteristics of the planting plan, a planting plan determination model is constructed, and based on various related data, the NS-MFO algorithm is used to solve it, so as to further take into account variables such as growth time and single plant cost, and more reasonably determine the specific planting plan, further improve the scientific nature of the overall plan, and reduce the cost of ecological restoration.

[0145] The present invention also provides a non-volatile computer storage medium, which stores at least one executable instruction. The executable instruction can execute a method for formulating a vegetation restoration plan for a power transmission and transformation project in the earth-rock mountainous area of ​​northern Hebei based on plant weather resistance in any of the above method embodiments.

[0146] Figure 6 A schematic diagram of the structure of a computing device according to an embodiment of the present invention is shown. The specific embodiment of the present invention does not limit the specific implementation of the computing device.

[0147] like Figure 6 As shown, the computing device may include: a processor (processor) 602 , a communications interface (Communications Interface) 604 , a memory (memory) 606 , and a communication bus 608 .

[0148] in:

[0149] The processor 602 , the communication interface 604 , and the memory 606 communicate with each other via a communication bus 608 .

[0150] The communication interface 604 is used to communicate with other devices such as clients or other servers.

[0151] Processor 602 is used to execute program 610, and specifically can execute the relevant steps in the above-mentioned embodiment of a method for formulating a vegetation restoration plan for a power transmission and transformation project in the earth-rock mountainous area of ​​northern Hebei based on plant weather resistance.

[0152] Specifically, the program 610 may include program codes, and the program codes include computer operation instructions.

[0153] The processor 602 may be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention. The one or more processors included in the computing device may be processors of the same type, such as one or more CPUs; or may be processors of different types, such as one or more CPUs and one or more ASICs.

[0154] The memory 606 is used to store the program 610. The memory 606 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0155] Program 610 can be specifically used to enable processor 602 to execute a method for formulating a vegetation restoration plan for a power transmission and transformation project in a rocky mountainous area in northern Hebei based on plant weather resistance in any of the above-mentioned method embodiments. The specific implementation of each step in program 610 can refer to the corresponding descriptions in the corresponding steps and units in the above-mentioned method embodiment for formulating a vegetation restoration plan for a power transmission and transformation project in a rocky mountainous area in northern Hebei based on plant weather resistance, which will not be repeated here. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the above-described equipment and modules can refer to the corresponding process description in the aforementioned method embodiment, which will not be repeated here.

[0156] The algorithm and display provided herein are not inherently related to any particular computer, virtual system or other device. Various general purpose systems can also be used together with the teachings based on this. According to the above description, it is obvious that the structure required for constructing such systems. In addition, the present invention is not directed to any specific programming language either. It should be understood that various programming languages ​​can be utilized to realize the content of the present invention described herein, and the description of the above specific languages ​​is for disclosing the best mode of the present invention.

[0157] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0158] Similarly, it should be understood that in order to streamline the present disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting the intention that the claimed invention requires more features than those expressly recited in each claim. Rather, as reflected in the claims, inventive aspects lie in less than all of the features of the individual embodiments previously disclosed. Therefore, the claims that follow the detailed description are hereby expressly incorporated into the detailed description, with each claim itself serving as a separate embodiment of the present invention.

[0159] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and in addition they may be divided into a plurality of submodules or subunits or subcomponents. Except that at least some of such features and / or processes or units are mutually exclusive, all features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed in this manner may be combined in any combination. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature providing the same, equivalent or similar purpose.

[0160] In addition, those skilled in the art will appreciate that, although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features of different embodiments is meant to be within the scope of the present invention and form different embodiments. For example, in the claims, any one of the claimed embodiments may be used in any combination.

[0161] The various component embodiments of the present invention can be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It should be understood by those skilled in the art that a microprocessor or digital signal processor (DSP) can be used in practice to implement some or all of the functions of some or all of the components in the embodiments of the present invention. The present invention can also be implemented as a device or apparatus program (e.g., computer program and computer program product) for executing part or all of the methods described herein. Such a program implementing the present invention can be stored on a computer-readable medium, or can have the form of one or more signals. Such a signal can be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0162] 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 method for formulating a vegetation restoration plan for power transmission and transformation projects in the rocky mountainous areas of northern Hebei based on plant weather resistance, including: Acquire the construction information of the power transmission and transformation project and the field survey data of the power transmission and transformation project scope, and extract the first vegetation type information and soil condition information corresponding to the power transmission and transformation project scope; Determine an initial vegetation candidate list based on the power transmission and transformation project scope and its corresponding vegetation type information, evaluate the power transmission and transformation project scope based on soil condition information, and divide the power transmission and transformation project scope into at least one block based on the soil evaluation result; Based on the soil evaluation results corresponding to each block, select the target vegetation type from the initial vegetation candidate list as the vegetation restoration object of the corresponding block; Based on the vegetation restoration objects selected for each block and the soil evaluation results, the corresponding planting plan for the block is determined.

2. The method according to claim 1, characterized in that The obtaining of the construction information of the power transmission and transformation project and the field survey data of the power transmission and transformation project scope, and extracting the first vegetation type information and soil condition information corresponding to the power transmission and transformation project scope, further includes: The first vegetation type information is the existing vegetation types within the power transmission and transformation project, and at least includes herbaceous plants and woody plants within the power transmission and transformation project; wherein the woody plants at least include shrubs; The soil condition information at least includes permeability, water retention, soil moisture, pH value and organic matter content.

3. The method according to claim 1, characterized in that The determining of the initial vegetation candidate list based on the power transmission and transformation project scope and the first vegetation type information corresponding thereto further includes: Determine the geographical location information corresponding to the power transmission and transformation project scope based on the power transmission and transformation project scope; Determine the climate zone and corresponding climate type of the power transmission and transformation project scope based on the geographical location information; Based on the corresponding climate type, determining common vegetation types under the climate type as second vegetation type information; An initial vegetation candidate list is generated according to the first vegetation type information and the second vegetation type information.

4. The method according to claim 1, characterized in that The soil evaluation results at least include soil type and soil fertility grade; The step of evaluating the scope of the power transmission and transformation project based on soil condition information and dividing the scope of the power transmission and transformation project into at least one block based on the soil evaluation result further includes: Determine the soil type and soil fertility level of each sampling location based on soil condition information; Soil evaluation results are generated based on each sampling location and its corresponding climate type, soil type and soil fertility level, and the scope of the power transmission and transformation project is divided into at least one block; (areas with the same soil type and adjacent sampling locations are classified as one block) Each block is divided into at least one sub-block based on the soil fertility level.

5. The method according to claim 4, characterized in that The method further comprises: Based on the seasonal information of the restoration plan, the soil type in the soil evaluation results, and the climate type of each block, the target vegetation type corresponding to each block is selected from the initial vegetation candidate list; wherein the target vegetation type includes at least one ground cover plant and one non-creeping shrub; Based on the soil fertility level of each sub-block in each block, the planting density corresponding to the target vegetation type is determined.

6. The method according to claim 1, characterized in that The method further comprises: Constructing a planting plan determination model based on soil evaluation results and planting cost parameters; wherein the planting parameters of the planting plan at least include target vegetation types and planting density; Obtain historical planting data for each plant species in the initial vegetation candidate list under the same soil type and climate type as the current block; wherein the historical planting data at least includes corresponding planting density, survival rate and single plant cost; The planting scheme determination model was solved based on the NS-MFO algorithm to determine the planting parameters corresponding to each block.

7. The method according to claim 6, characterized in that The method further comprises: The planting parameter determination model is: Where X = [x1, x2…x n ] is the decision variable of the planting parameters, which at least includes the vegetation types in the initial vegetation candidate list and their corresponding planting density, growth time, survival rate and single plant cost (can also include growth year), Y = [y1, y2…y n ] is the target vector of planting parameters; φ i (X) represents k inequalities that the planting scheme needs to satisfy, including at least that the survival rate is not lower than the preset survival rate and the cost per plant is not higher than the preset cost.

8. A device for formulating vegetation restoration plans for power transmission and transformation projects in the rocky mountainous areas of northern Hebei based on plant weather resistance, comprising: Information acquisition module, soil evaluation module, vegetation selection module and scheme determination module; among them, The information acquisition module is used to acquire the construction information of the power transmission and transformation project and the field survey data of the power transmission and transformation project scope, and extract the first vegetation type information and soil condition information corresponding to the power transmission and transformation project scope; The soil evaluation module is used to determine an initial vegetation candidate list based on the power transmission and transformation project scope and its corresponding vegetation type information, evaluate the power transmission and transformation project scope based on soil condition information, and divide the power transmission and transformation project scope into at least one block based on the soil evaluation result; The vegetation selection module is used to select target vegetation types from the initial vegetation candidate list as vegetation restoration objects for the corresponding blocks based on the soil evaluation results corresponding to each block; The scheme determination module is used to determine the corresponding block planting scheme based on the vegetation restoration objects selected for each block and the soil evaluation results.

9. A computing device comprising: A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform operations corresponding to a method for formulating a vegetation restoration plan for a power transmission and transformation project in the northern Hebei earth and rocky mountainous area based on plant weather resistance as described in any one of claims 1-7.

10. A computer storage medium storing at least one executable instruction, wherein the executable instruction enables a processor to execute operations corresponding to a method for formulating a vegetation restoration plan for a power transmission and transformation project in a rocky mountainous area in northern Hebei based on plant weather resistance as described in any one of claims 1 to 7.

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