Dynamic evaluation method and system for ecological fusion design of transformer substation in Saggob region

Abstract

The invention provides a dynamic evaluation method and system for the ecological fusion design of a transformer substation in a Saggob region, and the method comprises the steps: starting from a pressure-state-response PSR model, building a transformer substation ecological fusion evaluation frame comprising three criterion layers, namely an ecological interference pressure layer P, an ecological system state layer S and an ecological restoration response layer R; specific indexes for determining each criterion layer are selected and closely related to ecological restorability evaluation, include project regional natural environment characteristic indexes and regional scale ecological restorability indexes, and also cover substation microcosmic interference and ecological restoration indexes. Carrying out objective systematic evaluation on the influence of the microscopic interference of the transformer substation on the macro object of the ecological restoring force; obtaining index data of each specific index; determining the score of each specific index; determining the weight of each index and calculating a comprehensive evaluation index; and establishing a dynamic evaluation database and a visual platform. The method can be used for dynamically evaluating the ecological fusion design of the transformer substation in the Sagomean region.

Description

Technical Field

[0001] The present invention relates to the technical field of substation ecological integration design evaluation, and in particular to a dynamic evaluation method and system for the ecological integration design of substations in Shagohuang area. Background Art

[0002] The Shagohuang region in northwest China is a key base for my country's clean energy strategy, but its ecological environment is extremely fragile, facing extreme environmental challenges such as drought, wind erosion, and salinization. Large-scale substation construction is an inevitable choice for power transmission from this region's new energy base. However, existing substation construction technology focuses primarily on engineering efficiency and economic benefits, lacking systematic consideration of ecological resilience. This is manifested in the following ways:

[0003] (1) The dynamic impact mechanism is unclear: Substation construction has a cumulative and delayed impact on the ecosystem, but there is currently a lack of relevant research, and existing technologies lack long-term monitoring and data accumulation, making it difficult to quantify long-term impacts;

[0004] (2) Incomplete evaluation indicators: Existing studies on ecological resilience mostly rely on general indicators such as vegetation coverage, and have not established a targeted evaluation system for key factors such as wind erosion modulus and salinization degree that are unique to the Shagohuang area;

[0005] (3) Design parameters are out of line with ecological needs: Traditional substation designs do not fully incorporate ecological integration elements such as windbreak and sand fixation, water and energy conservation, and low-carbon equipment, resulting in a mismatch between the project and regional ecological functions.

[0006] In the existing patents and literature, no systematic evaluation method for the ecological integration design of substations in the Shagohuang area has been proposed, nor has a dynamic evaluation system for multi-scale data been constructed. Summary of the Invention

[0007] In order to solve the technical problems existing in the above-mentioned prior art, the present invention provides a method and system for dynamic evaluation of ecological integration design of substations in the Shagohuang area. The technical solution is as follows:

[0008] On the one hand, a dynamic evaluation method for ecological integration design of substations in the Shagohuang area is provided, which includes:

[0009] S1. Starting from the pressure-state-response (PSR) model, a substation ecological integration evaluation framework consisting of three criterion layers is established. The three criterion layers are: ecological disturbance pressure layer P, ecosystem state layer S, and ecological restoration response layer R.

[0010] S2. Select and determine specific indicators for each criterion layer. These indicators are closely related to ecological resilience assessment, including indicators of the natural environment characteristics of the project area, regional-scale ecological resilience indicators, and substation micro-disturbance and ecological restoration indicators. This objectively and systematically evaluates the impact of the micro-disturbance of substations on the macro-object of ecological resilience.

[0011] S3. Obtain indicator data for each specific indicator;

[0012] S4. Determine the score of each specific indicator based on the indicator data of each specific indicator;

[0013] S5. Determine the weight of each indicator and calculate the comprehensive evaluation index using a weighted method;

[0014] S6. Based on the substation ecological integration evaluation framework, a dynamic evaluation database and visualization platform are established.

[0015] Optionally, the ecological interference pressure layer P characterizes the direct and indirect interference of the substation on the ecosystem throughout its life cycle. Specific indicators include: construction disturbance area, construction efficiency, native vegetation greening rate, length and area of ​​newly added supporting hardened roads outside the station, soil erosion during the construction period, wastewater and solid waste discharge control during the construction period, carbon emission intensity during the operation period, distance from the habitat of key protected species, and required component recycling rate;

[0016] The ecosystem status layer S characterizes the current status and recovery potential of the regional ecosystem. Specific indicators include: meteorology, soil, groundwater depth, vegetation type, topography, species diversity index, dominant plant and animal species, indicator species, and environmentally sensitive species.

[0017] Meteorological data include: temperature, air pressure, wind speed, humidity, and precipitation; soil data include: moisture content, organic matter content, pH, salinity, erosion / wind erosion modulus; vegetation types include: plant species, normalized difference vegetation index, net primary productivity, and vegetation cover; topography includes: elevation and slope; species diversity indices include: Shannon-Wiener diversity index;

[0018] The ecological restoration response layer R: evaluates the effectiveness of artificial restoration or management measures. Specific indicators include: recycled water utilization rate, permeable ground coverage rate, photovoltaic equipment utilization rate, perfection of long-term monitoring mechanism, and integration and coordination with the landscape.

[0019] Optionally, the S4 specifically includes:

[0020] For quantifiable indicator data, the range normalization method is used to perform dimensionless processing, and the value after dimensionless processing is used as the score of the indicator data;

[0021] For descriptive indicator data that cannot be quantified, experts will give scores, and then the scores given by the experts will be dimensionless using the range normalization method, and the value after dimensionless processing will be used as the score of the indicator data.

[0022] Optionally, the dimensionless processing is performed by adopting a range normalization method, specifically including:

[0023] The indicator data has positive and negative characteristics. The range normalization method is used to perform dimensionless processing on the indicator data, and the positive and negative indicators are normalized to [0, 1].

[0024] For positive indicators where the larger the value, the better, the standardized value is:

[0025] X' i =(X i -X min ) / (X max -X min )

[0026] For negative indicators, the smaller the value, the better. The normalized value is:

[0027] X' i =(X max -X i ) / (X max -X min ).

[0028] Optionally, the S6 specifically includes:

[0029] A dynamic evaluation database is established, which includes three types of data:

[0030] The first is the ecological disturbance pressure layer data, which includes not only specific indicator data but also basic information of substation projects, as well as the results of previous follow-up assessments and the effects of implementation of optimization measures;

[0031] The second is ecosystem status layer data, including specific indicator data;

[0032] The third is the specific indicator data of the ecological restoration response layer;

[0033] The visualization platform is developed based on the construction of a database and combined with GIS technology to compare similar projects in multiple dimensions on a large spatial scale. At the same time, on a temporal scale, long-term data accumulation provides data support for long-term cumulative impact assessment, trend forecasting and regional power grid planning and decision-making.

[0034] In another aspect, a dynamic evaluation system for ecological integration design of substations in the Shagohuang area based on ecological resilience is provided, the system comprising:

[0035] The first establishment module is used to establish a substation ecological integration evaluation framework consisting of three criterion layers based on the pressure-state-response (PSR) model. The three criterion layers are: ecological disturbance pressure layer P, ecosystem state layer S, and ecological restoration response layer R.

[0036] The selection and determination module is used to select and determine specific indicators for each criterion layer. These indicators are closely related to ecological resilience assessment and include indicators of the natural environment characteristics of the project area, regional-scale ecological resilience indicators, as well as substation micro-disturbance and ecological restoration indicators. This module objectively and systematically evaluates the impact of the micro-disturbance of substations on the macro-object of ecological resilience.

[0037] The acquisition module is used to obtain the indicator data of each specific indicator;

[0038] A determination module, for determining the score of each specific indicator based on the indicator data of each specific indicator;

[0039] Comprehensive evaluation module, used to determine the weight of each indicator and calculate the comprehensive evaluation index using a weighted method;

[0040] The second establishment module is used to establish a dynamic evaluation database and visualization platform based on the substation ecological integration evaluation framework.

[0041] Optionally, the ecological interference pressure layer P characterizes the direct and indirect interference of the substation on the ecosystem throughout its life cycle. Specific indicators include: construction disturbance area, construction efficiency, native vegetation greening rate, length and area of ​​newly added supporting hardened roads outside the station, soil erosion during the construction period, wastewater and solid waste discharge control during the construction period, carbon emission intensity during the operation period, distance from the habitat of key protected species, and required component recycling rate;

[0042] The ecosystem status layer S characterizes the current status and recovery potential of the regional ecosystem. Specific indicators include: meteorology, soil, groundwater depth, vegetation type, topography, species diversity index, dominant plant and animal species, indicator species, and environmentally sensitive species.

[0043] Meteorological data include: temperature, air pressure, wind speed, humidity, and precipitation; soil data include: moisture content, organic matter content, pH, salinity, erosion / wind erosion modulus; vegetation types include: plant species, normalized difference vegetation index, net primary productivity, and vegetation cover; topography includes: elevation and slope; species diversity indices include: Shannon-Wiener diversity index;

[0044] The ecological restoration response layer R: evaluates the effectiveness of artificial restoration or management measures. Specific indicators include: recycled water utilization rate, permeable ground coverage rate, photovoltaic equipment utilization rate, perfection of long-term monitoring mechanism, and integration and coordination with the landscape.

[0045] Optionally, the determining module is specifically configured to:

[0046] For quantifiable indicator data, the range normalization method is used to perform dimensionless processing, and the value after dimensionless processing is used as the score of the indicator data;

[0047] For descriptive indicator data that cannot be quantified, experts will give scores, and then the scores given by the experts will be dimensionless using the range normalization method, and the value after dimensionless processing will be used as the score of the indicator data.

[0048] Optionally, the dimensionless processing is performed by adopting a range normalization method, specifically including:

[0049] The indicator data has positive and negative characteristics. The range normalization method is used to perform dimensionless processing on the indicator data, and the positive and negative indicators are normalized to [0, 1].

[0050] For positive indicators where the larger the value, the better, the standardized value is:

[0051] X' i =(X i -X min ) / (X max -X min )

[0052] For negative indicators, the smaller the value, the better. The normalized value is:

[0053] X' i =(X max -X i ) / (X max -X min ).

[0054] Optionally, the second establishing module is specifically configured to:

[0055] A dynamic evaluation database is established, which includes three types of data:

[0056] The first is the ecological disturbance pressure layer data, which includes not only specific indicator data but also basic information of substation projects, as well as the results of previous follow-up assessments and the effects of implementation of optimization measures;

[0057] The second is ecosystem status layer data, including specific indicator data;

[0058] The third is the specific indicator data of the ecological restoration response layer;

[0059] The visualization platform is developed based on the construction of a database and combined with GIS technology to compare similar projects in multiple dimensions on a large spatial scale. At the same time, on a temporal scale, long-term data accumulation provides data support for long-term cumulative impact assessment, trend forecasting and regional power grid planning and decision-making.

[0060] On the other hand, an electronic device is provided, which includes a processor and a memory, wherein the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement the above-mentioned dynamic evaluation method for ecological integration design of substations in the Shagohuang area.

[0061] On the other hand, a computer-readable storage medium is provided, in which at least one instruction is stored. The at least one instruction is loaded and executed by a processor to implement the above-mentioned dynamic evaluation method for ecological integration design of substations in the Shagohuang area.

[0062] The beneficial effects brought about by the technical solution provided by the present invention include at least:

[0063] This study constructs a three-tiered evaluation framework consisting of an ecological disturbance pressure layer (P), an ecosystem status layer (S), and an ecological restoration response layer (R). This evaluation system incorporates both regional-scale ecological resilience indicators (such as wind erosion modulus and normalized difference vegetation index) and substation-level disturbance indicators (such as construction disturbance area and carbon emission intensity during operation). This allows for an objective and systematic assessment of the impact of substation-level disturbances on the macro-level ecological resilience. Furthermore, the evaluation framework analyzes and studies the specificities of the Shagohuang region in Northwest China, selecting appropriate representative indicators for evaluation.

[0064] Through the construction of a database, the present invention realizes the horizontal comparison of multiple similar projects under the same evaluation system, and proposes ecological compensation measures for projects with poor ecological integration. At the same time, the construction of the database can also realize the long-term and cumulative statistics of evaluation indicators over time, and then realize dynamic tracking evaluation. Even the dynamic tracking evaluation results can be fed back to the project design stage, so as to put forward improvement suggestions in the new project design stage, thereby improving the comprehensiveness, wide applicability and practicality of the evaluation system. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0066] Figure 1 This is a flow chart of a dynamic evaluation method for ecological integration design of substations in the Shagohuang area provided by an embodiment of the present invention;

[0067] Figure 2 This is a framework diagram of a dynamic evaluation framework for ecological integration design of substations in the Shagohuang area provided by an embodiment of the present invention;

[0068] Figure 3 This is a block diagram of a dynamic evaluation system for ecological integration design of substations in the Shagohuang area provided by an embodiment of the present invention;

[0069] Figure 4 It is a structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0070] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0071] An embodiment of the present invention provides a dynamic evaluation method for ecological integration design of substations in the Shagohuang area. The method can be implemented by an electronic device, which can be a terminal or a server. Figure 1 The flowchart of the method is shown, and the processing flow may include the following steps:

[0072] S1. Starting from the Pressure-State-Response (PSR) model, a substation ecological integration evaluation framework consisting of three criteria layers is established (e.g. Figure 2 As shown), the three criterion layers are: ecological disturbance pressure layer P-ecosystem state layer S-ecological restoration response layer R;

[0073] S2. Select and determine specific indicators for each criterion layer. These indicators are closely related to ecological resilience assessment, including indicators of the natural environment characteristics of the project area, regional-scale ecological resilience indicators, and substation micro-disturbance and ecological restoration indicators. This objectively and systematically evaluates the impact of the micro-disturbance of substations on the macro-object of ecological resilience.

[0074] S3. Obtain indicator data for each specific indicator;

[0075] S4. Determine the score of each specific indicator based on the indicator data of each specific indicator;

[0076] S5. Determine the weight of each indicator and calculate the comprehensive evaluation index using a weighted method;

[0077] S6. Based on the substation ecological integration evaluation framework, a dynamic evaluation database and visualization platform are established.

[0078] Optionally, the ecological interference pressure layer P characterizes the direct and indirect interference of the substation to the ecosystem during its entire life cycle (site selection, construction, operation and maintenance, and service expiration). Specific indicators include: construction disturbance area, construction efficiency, native vegetation greening rate, length and area of ​​newly added supporting hardened roads outside the station, soil and water loss during the construction period, wastewater and solid waste discharge control during the construction period, carbon emission intensity during the operation period, distance from the habitat of key protected species, and required component recycling rate;

[0079] The ecosystem status layer S characterizes the current status and recovery potential of the regional ecosystem. Specific indicators include: meteorology, soil, groundwater depth, vegetation type, topography, species diversity index, dominant plant and animal species, indicator species, and environmentally sensitive species.

[0080] Meteorological data include: temperature, air pressure, wind speed, humidity, and precipitation; soil data include: moisture content, organic matter content, pH, salinity, erosion / wind erosion modulus; vegetation types include: plant species, normalized difference vegetation index, net primary productivity, and vegetation cover; topography includes: elevation and slope; species diversity indices include: Shannon-Wiener diversity index;

[0081] The ecological restoration response layer R: evaluates the effectiveness of artificial restoration or management measures. Specific indicators include: recycled water utilization rate, permeable ground coverage rate, photovoltaic equipment utilization rate, perfection of long-term monitoring mechanism, and integration and coordination with the landscape.

[0082] Specifically, the specific indicators selected and determined in the embodiment of the present invention are shown in the following table, wherein each specific indicator is not fixed. 1 The indicators are mandatory indicators recommended by the embodiment of the present invention based on the natural environment characteristics and ecological environmental fragility of the Shagohuang area.

[0083]

[0084]

[0085] Optionally, the S4 specifically includes:

[0086] For quantifiable indicator data, the range normalization method is used to perform dimensionless processing, and the value after dimensionless processing is used as the score of the indicator data;

[0087] For descriptive indicator data that cannot be quantified, experts will give scores, and then the scores given by the experts will be dimensionless using the range normalization method, and the value after dimensionless processing will be used as the score of the indicator data.

[0088] Optionally, the dimensionless processing is performed by adopting a range normalization method, specifically including:

[0089] The indicator data has positive and negative characteristics. The range normalization method is used to perform dimensionless processing on the indicator data, and the positive and negative indicators are normalized to [0, 1].

[0090] For positive indicators where the larger the value, the better, the standardized value is:

[0091] X' i =(X i -X min ) / (X max -X min )

[0092] For negative indicators, the smaller the value, the better. The normalized value is:

[0093] X' i =(X max -X i ) / (X max -X min ).

[0094] Optionally, the S5 can be weighted by the analytic hierarchy process (AHP), the entropy weight method or a combination of the two, or other feasible methods such as grey correlation, machine learning and deep learning methods to determine the weight of each indicator (the sum of all indicator weights is 1). The comprehensive evaluation index is calculated using a weighted method, which is relatively mature and will not be described in detail here.

[0095] Optionally, the S6 specifically includes:

[0096] Establish a dynamic evaluation database (the construction of the database is the basis for dynamic evaluation and is also a necessary means to analyze and evaluate the long-term cumulative effects of substation construction on ecological resilience). The database includes three types of data:

[0097] First, the ecological disturbance pressure layer data, in addition to specific indicator data, also includes basic information of substation projects (such as substation location, coordinates, scale and quantity, basic design parameters, etc.), as well as the results of previous follow-up assessments and the implementation effects of optimization measures;

[0098] The second is ecosystem status layer data, including specific indicator data;

[0099] The third is the specific indicator data of the ecological restoration response layer;

[0100] The visualization platform is developed based on the construction of a database and combined with GIS technology to compare similar projects in multiple dimensions on a large spatial scale. At the same time, on a temporal scale, long-term data accumulation provides data support for long-term cumulative impact assessment, trend forecasting and regional power grid planning and decision-making.

[0101] like Figure 3 As shown, an embodiment of the present invention further provides a dynamic evaluation system for ecological integration design of substations in the Shagohuang area based on ecological resilience, the system comprising:

[0102] The first establishment module 310 is used to establish a substation ecological integration evaluation framework including three criterion layers based on the pressure-state-response (PSR) model, wherein the three criterion layers are: an ecological disturbance pressure layer P, an ecosystem state layer S, and an ecological restoration response layer R.

[0103] The selection and determination module 320 is used to select and determine specific indicators for each criterion layer. These specific indicators are closely related to ecological resilience assessment and include indicators of the natural environment characteristics of the project area, regional-scale ecological resilience indicators, as well as substation micro-disturbance and ecological restoration indicators. This objectively and systematically evaluates the impact of the micro-disturbance of the substation on the macro-object of ecological resilience.

[0104] An acquisition module 330 is used to obtain indicator data of various specific indicators;

[0105] Determination module 340, for determining the score of each specific indicator based on the indicator data of each specific indicator;

[0106] Comprehensive evaluation module 350, used to determine the weight of each indicator and calculate the comprehensive evaluation index using a weighted method;

[0107] The second establishing module 360 ​​is used to establish a dynamic evaluation database and visualization platform based on the substation ecological integration evaluation framework.

[0108] Optionally, the ecological interference pressure layer P characterizes the direct and indirect interference of the substation on the ecosystem throughout its life cycle. Specific indicators include: construction disturbance area, construction efficiency, native vegetation greening rate, length and area of ​​newly added supporting hardened roads outside the station, soil erosion during the construction period, wastewater and solid waste discharge control during the construction period, carbon emission intensity during the operation period, distance from the habitat of key protected species, and required component recycling rate;

[0109] The ecosystem status layer S characterizes the current status and recovery potential of the regional ecosystem. Specific indicators include: meteorology, soil, groundwater depth, vegetation type, topography, species diversity index, dominant plant and animal species, indicator species, and environmentally sensitive species.

[0110] Meteorological data include: temperature, air pressure, wind speed, humidity, and precipitation; soil data include: moisture content, organic matter content, pH, salinity, erosion / wind erosion modulus; vegetation types include: plant species, normalized difference vegetation index, net primary productivity, and vegetation cover; topography includes: elevation and slope; species diversity indices include: Shannon-Wiener diversity index;

[0111] The ecological restoration response layer R: evaluates the effectiveness of artificial restoration or management measures. Specific indicators include: recycled water utilization rate, permeable ground coverage rate, photovoltaic equipment utilization rate, perfection of long-term monitoring mechanism, and integration and coordination with the landscape.

[0112] Optionally, the S4 specifically includes:

[0113] For quantifiable indicator data, the range normalization method is used to perform dimensionless processing, and the value after dimensionless processing is used as the score of the indicator data;

[0114] For descriptive indicator data that cannot be quantified, experts will give scores, and then the scores given by the experts will be dimensionless using the range normalization method, and the value after dimensionless processing will be used as the score of the indicator data.

[0115] Optionally, the dimensionless processing is performed by adopting a range normalization method, specifically including:

[0116] The indicator data has positive and negative characteristics. The range normalization method is used to perform dimensionless processing on the indicator data, and the positive and negative indicators are normalized to [0, 1].

[0117] For positive indicators where the larger the value, the better, the standardized value is:

[0118] X' i =(X i -X min ) / (X max -X min )

[0119] For negative indicators, the smaller the value, the better. The normalized value is:

[0120] X' i =(X max -X i ) / (X max -X min ).

[0121] Optionally, the second establishing module is specifically configured to:

[0122] A dynamic evaluation database is established, which includes three types of data:

[0123] The first is the ecological disturbance pressure layer data, which includes not only specific indicator data but also basic information of substation projects, as well as the results of previous follow-up assessments and the effects of implementation of optimization measures;

[0124] The second is ecosystem status layer data, including specific indicator data;

[0125] The third is the specific indicator data of the ecological restoration response layer;

[0126] The visualization platform is developed based on the construction of a database and combined with GIS technology to compare similar projects in multiple dimensions on a large spatial scale. At the same time, on a temporal scale, long-term data accumulation provides data support for long-term cumulative impact assessment, trend forecasting and regional power grid planning and decision-making.

[0127] An embodiment of the present invention provides a dynamic evaluation system for ecological integration design of substations in Shagohuang area. Its functional structure corresponds to a dynamic evaluation method for ecological integration design of substations in Shagohuang area provided by an embodiment of the present invention, which will not be repeated here.

[0128] Figure 4 It is a structural diagram of an electronic device 400 provided in an embodiment of the present invention. The electronic device 400 may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) 401 and one or more memories 402, wherein the memory 402 stores at least one instruction, and the at least one instruction is loaded and executed by the processor 401 to implement the steps of the above-mentioned dynamic evaluation method for ecological integration design of substations in the Shagohuang area.

[0129] In an exemplary embodiment, a computer-readable storage medium is also provided, such as a memory device including instructions. The instructions are executable by a processor in a terminal to implement the above-described method for dynamic evaluation of ecological integration design of substations in the Shagohuang region. For example, the computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, or optical data storage device.

[0130] Those skilled in the art will understand that all or part of the steps to implement the above embodiments may be accomplished by hardware, or may be accomplished by a program to instruct the relevant hardware, and the program may be stored in a computer-readable storage medium, which may be a read-only memory, a disk, or an optical disk, etc.

[0131] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A dynamic evaluation method for ecological integration design of substations in Shagohuang area based on ecological resilience, characterized by: The method comprises: S1. Starting from the pressure-state-response (PSR) model, a substation ecological integration evaluation framework consisting of three criterion layers is established. The three criterion layers are: ecological disturbance pressure layer P, ecosystem state layer S, and ecological restoration response layer R. S2. Select and determine specific indicators for each criterion layer. These indicators are closely related to ecological resilience assessment, including indicators of the natural environment characteristics of the project area, regional-scale ecological resilience indicators, and substation micro-disturbance and ecological restoration indicators. This objectively and systematically evaluates the impact of the micro-disturbance of substations on the macro-object of ecological resilience. S3. Obtain indicator data for each specific indicator; S4. Determine the score of each specific indicator based on the indicator data of each specific indicator; S5. Determine the weight of each indicator and calculate the comprehensive evaluation index using a weighted method; S6. Based on the substation ecological integration evaluation framework, a dynamic evaluation database and visualization platform are established.

2. The method according to claim 1, characterized in that The ecological interference pressure layer P characterizes the direct and indirect interference of the substation to the ecosystem throughout its life cycle. Specific indicators include: construction disturbance area, construction efficiency, native vegetation greening rate, length and area of ​​newly added supporting hardened roads outside the station, soil and water loss during the construction period, wastewater and solid waste discharge control during the construction period, carbon emission intensity during the operation period, distance from the habitat of key protected species, and required component recycling rate; The ecosystem status layer S characterizes the current status and recovery potential of the regional ecosystem. Specific indicators include: meteorology, soil, groundwater depth, vegetation type, topography, species diversity index, dominant plant and animal species, indicator species, and environmentally sensitive species. Meteorological data include: temperature, air pressure, wind speed, humidity, and precipitation; soil data include: moisture content, organic matter content, pH, salinity, erosion / wind erosion modulus; vegetation types include: plant species, normalized difference vegetation index, net primary productivity, and vegetation cover; topography includes: elevation and slope; species diversity indices include: Shannon-Wiener diversity index; The ecological restoration response layer R: evaluates the effectiveness of artificial restoration or management measures. Specific indicators include: recycled water utilization rate, permeable ground coverage rate, photovoltaic equipment utilization rate, perfection of long-term monitoring mechanism, and integration and coordination with the landscape.

3. The method according to claim 1, characterized in that Said S4 specifically includes: For quantifiable indicator data, the range normalization method is used to perform dimensionless processing, and the value after dimensionless processing is used as the score of the indicator data; For descriptive indicator data that cannot be quantified, experts will give scores, and then the scores given by the experts will be dimensionless using the range normalization method, and the value after dimensionless processing will be used as the score of the indicator data.

4. The method according to claim 3, characterized in that The dimensionless processing by adopting the range standardization method specifically includes: The indicator data has positive and negative characteristics. The range normalization method is used to perform dimensionless processing on the indicator data, and the positive and negative indicators are normalized to [0, 1]. For positive indicators where the larger the value, the better, the standardized value is: X’ i =(X i -X min ) / (X max -X min ) For negative indicators, the smaller the value, the better. The normalized value is: X’ i =(X max -X i ) / (X max -X min )。 5. The method according to claim 1, characterized in that Said S6 specifically includes: A dynamic evaluation database is established, which includes three types of data: The first is the ecological disturbance pressure layer data, which includes not only specific indicator data but also basic information of substation projects, as well as the results of previous follow-up assessments and the effects of implementation of optimization measures; The second is ecosystem status layer data, including specific indicator data; The third is the specific indicator data of the ecological restoration response layer; The visualization platform is developed based on the construction of a database and combined with GIS technology to compare similar projects in multiple dimensions on a large spatial scale. At the same time, on a temporal scale, long-term data accumulation provides data support for long-term cumulative impact assessment, trend forecasting and regional power grid planning and decision-making.

6. A dynamic evaluation system for ecological integration design of substations in the Shagohuang area based on ecological resilience, characterized by: The system comprises: The first establishment module is used to establish a substation ecological integration evaluation framework consisting of three criterion layers based on the pressure-state-response (PSR) model. The three criterion layers are: ecological disturbance pressure layer P, ecosystem state layer S, and ecological restoration response layer R. The selection and determination module is used to select and determine specific indicators for each criterion layer. These indicators are closely related to ecological resilience assessment and include indicators of the natural environment characteristics of the project area, regional-scale ecological resilience indicators, as well as substation micro-disturbance and ecological restoration indicators. This module objectively and systematically evaluates the impact of the micro-disturbance of substations on the macro-object of ecological resilience. The acquisition module is used to obtain the indicator data of each specific indicator; A determination module, for determining the score of each specific indicator based on the indicator data of each specific indicator; Comprehensive evaluation module, used to determine the weight of each indicator and calculate the comprehensive evaluation index using a weighted method; The second establishment module is used to establish a dynamic evaluation database and visualization platform based on the substation ecological integration evaluation framework.

7. The system according to claim 6, characterized in that The ecological interference pressure layer P characterizes the direct and indirect interference of the substation to the ecosystem throughout its life cycle. Specific indicators include: construction disturbance area, construction efficiency, native vegetation greening rate, length and area of ​​newly added supporting hardened roads outside the station, soil and water loss during the construction period, wastewater and solid waste discharge control during the construction period, carbon emission intensity during the operation period, distance from the habitat of key protected species, and required component recycling rate; The ecosystem status layer S characterizes the current status and recovery potential of the regional ecosystem. Specific indicators include: meteorology, soil, groundwater depth, vegetation type, topography, species diversity index, dominant plant and animal species, indicator species, and environmentally sensitive species. Meteorological data include: temperature, air pressure, wind speed, humidity, and precipitation; soil data include: moisture content, organic matter content, pH, salinity, erosion / wind erosion modulus; vegetation types include: plant species, normalized difference vegetation index, net primary productivity, and vegetation cover; topography includes: elevation and slope; species diversity indices include: Shannon-Wiener diversity index; The ecological restoration response layer R: evaluates the effectiveness of artificial restoration or management measures. Specific indicators include: recycled water utilization rate, permeable ground coverage rate, photovoltaic equipment utilization rate, perfection of long-term monitoring mechanism, and integration and coordination with the landscape.

8. The system according to claim 6, wherein: The determining module is specifically configured to: For quantifiable indicator data, the range normalization method is used to perform dimensionless processing, and the value after dimensionless processing is used as the score of the indicator data; For descriptive indicator data that cannot be quantified, experts will give scores, and then the scores given by the experts will be dimensionless using the range normalization method, and the value after dimensionless processing will be used as the score of the indicator data.

9. The system according to claim 8, characterized in that The dimensionless processing by adopting the range standardization method specifically includes: The indicator data has positive and negative characteristics. The range normalization method is used to perform dimensionless processing on the indicator data, and the positive and negative indicators are normalized to [0, 1]. For positive indicators where the larger the value, the better, the standardized value is: X’ i =(X i -X min ) / (X max -X min ) For negative indicators, the smaller the value, the better. The normalized value is: X’ i =(X max -X i ) / (X max -X min )。 10. The system according to claim 6, wherein: The second establishing module is specifically used to: A dynamic evaluation database is established, which includes three types of data: The first is the ecological disturbance pressure layer data, which includes not only specific indicator data but also basic information of substation projects, as well as the results of previous follow-up assessments and the effects of implementation of optimization measures; The second is ecosystem status layer data, including specific indicator data; The third is the specific indicator data of the ecological restoration response layer; The visualization platform is developed based on the construction of a database and combined with GIS technology to compare similar projects in multiple dimensions on a large spatial scale. At the same time, on a temporal scale, long-term data accumulation provides data support for long-term cumulative impact assessment, trend forecasting and regional power grid planning and decision-making.

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