A power transmission and transformation engineering auxiliary decision-making method, system and device based on multi-source geographic information and a medium

Abstract

This invention relates to the field of auxiliary decision-making technology, and particularly to a method, system, equipment, and medium for auxiliary decision-making in power transmission and transformation projects based on multi-source geographic information. The method involves initializing a multi-dimensional spatiotemporal data fusion and decision model to construct a multi-dimensional information field. Using this information field, the economic costs of alternative power transmission and transformation projects are calculated against the real geographic environment to obtain a comprehensive economic cost. Based on the comprehensive economic cost calculated for each project against the real geographic environment, a multi-dimensional feasibility and environmental risk quantification assessment is performed to obtain a comprehensive risk index. Decision analysis is then used to combine the comprehensive economic cost and the comprehensive risk index to obtain the optimal solution. This method uses a computer system as a platform and, through a series of procedural and logically interconnected steps, automates the spatial analysis, cost calculation, and comprehensive evaluation of multiple input alternative power transmission and transformation projects.

Description

Technical Field

[0001] This invention relates to the field of decision support technology, and in particular to a method, system, equipment and medium for decision support in power transmission and transformation projects based on multi-source geographic information. Background Technology

[0002] In the preliminary work of previous power transmission and transformation projects, investment estimation generally adopted a "typical cost" estimation method based on industry quotas. This method, based on standardized "typical design" schemes, calculates costs under assumed standard geographical and environmental conditions. While this method has unified the estimation scope to some extent, its drawbacks are also quite obvious. Because the "typical cost" model cannot reflect the actual topography, geology, hydrology, and transportation conditions of the project site, the estimated costs for geographically-related items, such as substation site leveling, access road construction, manpower transportation for transmission lines, and land acquisition compensation, deviate significantly from the actual project volume. This easily leads to the problem of "estimated costs exceeding actual costs," posing a significant risk to project management. At the same time, the comparison of different site selection and route selection schemes relies heavily on the experience of review experts for qualitative judgment, lacking an objective, quantitative, and efficient comprehensive comparison process, resulting in a long decision-making cycle and strong subjectivity.

[0003] This invention takes Geographic Information System (GIS) technology as its core and aims to improve the inherent defects of traditional "typical cost" estimation methods and subjective experience-based decision-making models by integrating and utilizing multi-source geographic information data such as digital elevation models (DEM), land use maps, and transportation network maps.

[0004] The core technical problem to be solved by this invention is: how to create an automated analysis method that deeply integrates engineering economic models with geospatial information, and through precise geospatial analysis of alternative solutions, to achieve dynamic correction and supplementation of environmentally sensitive costs in typical construction costs, and to construct an objective and quantitative multi-objective evaluation and comparison decision-making process, thereby fundamentally improving the scientificity, accuracy and efficiency of early-stage decision-making in power transmission and transformation projects. Summary of the Invention

[0005] In view of the aforementioned existing problems, the present invention is proposed.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides a power transmission and transformation engineering auxiliary decision-making method based on multi-source geographic information, comprising: Initialize a multidimensional spatiotemporal data fusion and decision-making model to construct a multidimensional information field; By utilizing a multidimensional information field, the economic costs of alternative power transmission and transformation projects are calculated against the actual geographical environment to obtain a comprehensive economic cost. Based on the comprehensive economic cost obtained by comparing the economic cost of each option with the actual geographical environment, a multi-dimensional feasibility and environmental risk quantitative assessment is conducted to obtain a comprehensive risk index. By combining comprehensive economic costs and comprehensive risk indices using multidimensional decision analysis theory, the optimal solution can be obtained.

[0007] As a preferred embodiment of the auxiliary decision-making method for power transmission and transformation projects based on multi-source geographic information described in this invention, the initialization of the multi-dimensional spatiotemporal data fusion and decision-making model, and the construction of a multi-dimensional information field, includes: Through standardized data interfaces, geographic information data from different sources and in different formats are preprocessed and then integrated and loaded into the central geographic information database. The central geographic information database constitutes a digital twin of the decision-making environment; Establish an engineering parameter database to store all the prior information required for subsequent calculations; The system receives alternative plans for power transmission and transformation projects to be evaluated and forms a plan set.

[0008] As a preferred embodiment of the auxiliary decision-making method for power transmission and transformation projects based on multi-source geographic information described in this invention, the step of utilizing a multi-dimensional information field to calculate the economic cost of alternative power transmission and transformation projects against the actual geographic environment to obtain a comprehensive economic cost includes: Calculate the comprehensive economic cost by combining the dynamic costs related to substation construction and the dynamic costs related to transmission line construction. By integrating the data in the digital twin within the site area, the excavation volume and fill volume are obtained, and the site leveling cost is calculated based on the calculated excavation volume and fill volume. The cost of access roads to the station is calculated using distance function analysis. A composite accounting model is used to calculate the dynamic costs related to the construction of transmission lines.

[0009] The beneficial effects of the preferred technical solution in this application embodiment are as follows: the preferred technical solution completely abandons the traditional static and homogeneous "typical cost" estimation model, and uses the constructed multi-dimensional information field to perform dynamic and refined accounting of the economic cost of each solution in a way that is fully coupled with the real geographical environment.

[0010] As a preferred embodiment of the auxiliary decision-making method for power transmission and transformation projects based on multi-source geographic information described in this invention, the method involves: conducting a multi-dimensional feasibility and environmental risk quantification assessment based on the comprehensive economic cost obtained by comparing the economic cost of each scheme with the actual geographic environment, to obtain a comprehensive risk index, including: A comprehensive risk index is obtained by spatial analysis of the geographical entities of the solution and the digital twin of the decision-making environment. Direct conflict and proximity threat are quantified through a penalty function.

[0011] As a preferred embodiment of the auxiliary decision-making method for power transmission and transformation projects based on multi-source geographic information described in this invention, the step of using decision analysis to combine comprehensive economic cost and comprehensive risk index to obtain the optimal solution includes: The linear scaling method is used to perform dimensionless processing on the comprehensive economic cost and comprehensive risk index; A weighted method is used to calculate the final comprehensive utility value of each option, and the comprehensive utility values ​​of all options are ranked. The option with the highest value is recommended as the optimal option.

[0012] As a preferred embodiment of the auxiliary decision-making method for power transmission and transformation projects based on multi-source geographic information described in this invention, the method involves: integrating data from a digital twin within the site area to obtain the excavation and fill volumes; calculating the site leveling cost based on the calculated excavation and fill volumes; and applying this to the DEM data. In the station area Integral operations are performed within the range, expressed as: in, Coordinates The original ground elevation at the location The design elevation of the station site Expressed as excavation volume, Expressed as fill volume; in, Expressed as a unit cost coefficient, This is expressed as the cost of site leveling.

[0013] As a preferred embodiment of the auxiliary decision-making method for power transmission and transformation projects based on multi-source geographic information described in this invention, the method employs a composite accounting model to calculate the dynamic costs related to the construction of transmission lines, and calculates the costs of each tower on the line. To the nearest road Spatial distance, total cost of the route Represented as: in, It is the coefficient of human transportation cost per unit distance. Is with Additional engineering costs required for a single crossing of a critical infrastructure. Represented as by The total number of spans is automatically calculated by performing spatial intersection analysis with the corresponding facility layer.

[0014] Secondly, the present invention provides a power transmission and transformation engineering auxiliary decision-making system based on multi-source geographic information, comprising: The initialization module initializes the multidimensional spatiotemporal data fusion and decision-making model and constructs a multidimensional information field. The first calculation module uses a multi-dimensional information field to calculate the economic cost of alternative power transmission and transformation projects against the actual geographical environment, and obtains the comprehensive economic cost. The second calculation module performs a multi-dimensional feasibility and environmental risk quantification assessment based on the comprehensive economic cost obtained by comparing the economic cost of each scheme with the actual geographical environment, and obtains a comprehensive risk index. The output module uses multidimensional decision analysis theory to combine comprehensive economic costs and comprehensive risk index to obtain the optimal solution.

[0015] Thirdly, the present invention provides an electronic device, comprising: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, they implement the steps of a power transmission and transformation engineering auxiliary decision-making method based on multi-source geographic information.

[0016] Fourthly, the present invention provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of the power transmission and transformation engineering auxiliary decision-making method based on multi-source geographic information.

[0017] Compared with the prior art, the beneficial effects of the present invention are as follows: Firstly, this invention proposes and implements a dynamic and automated decision-making method that deeply integrates the traditional economic evaluation system for power transmission and transformation projects with modern geospatial analysis technology. Instead of treating the industry's mature "typical cost" system as a static quota, it utilizes GIS spatial analysis technology to dynamically and accurately "correct" (for substations) and "supplement" (for transmission lines), thereby completely resolving the key pain point of the disconnect between typical costs and the actual geographical environment of the project.

[0018] Secondly, another key aspect of this invention lies in its seamless integration and automation of the entire process, from data input, spatial analysis, engineering quantity calculation, cost accounting, multi-objective evaluation to result output. This integrates previously discrete and manual processes into a logically rigorous and repeatable computational flow. The cornerstone of this process is that this invention provides a clear and operable GIS spatial analysis technology implementation path for each specific engineering economic or risk problem (such as site leveling, human transportation, and environmental avoidance), precisely mapping abstract engineering principles into concrete algorithmic models, thus endowing the entire method with strong practicality and scientific rigor.

[0019] Thirdly, this invention encompasses a complete auxiliary decision-making method for power transmission and transformation projects based on multi-source geographic information. This method includes systematic steps such as data integration, intelligent economic assessment, feasibility evaluation, multi-objective comprehensive comparison, and decision result output. It utilizes digital elevation models for excavation and filling analysis to quantify substation site leveling costs; comprehensively applies GIS overlay analysis and cost path analysis to determine substation off-site infrastructure and land acquisition costs; and employs spatial intersection analysis to perform geographically homogenized segmentation of transmission lines, combined with typical cost and distance analysis to dynamically calculate the line's core and additional costs.

[0020] Fourth, this invention takes the quantitative economic cost and environmental risk indicators output by geospatial analysis, processes them into a dimensionless form, and then inputs them into a multi-criteria decision-making model for weighted integration to calculate the final comprehensive utility value of each option. This systematic decision-making technology constitutes a key bridge connecting massive spatial data analysis and final scientific decision-making. Attached Figure Description

[0021] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a schematic diagram of the overall process of a power transmission and transformation engineering auxiliary decision-making method based on multi-source geographic information according to an embodiment of the present invention.

[0023] Figure 2 This is a schematic diagram of land type overlay analysis for a power transmission and transformation engineering auxiliary decision-making method based on multi-source geographic information, as described in one embodiment of the present invention.

[0024] Figure 3 This is a schematic diagram of a line crossing in a power transmission and transformation engineering auxiliary decision-making method based on multi-source geographic information, as described in one embodiment of the present invention. Detailed Implementation

[0025] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0026] Example 1, referring to Figure 1 As an embodiment of the present invention, a power transmission and transformation engineering auxiliary decision-making method based on multi-source geographic information is provided, comprising: S1: Initialize the multidimensional spatiotemporal data fusion and decision-making model, and construct a multidimensional information field; S2: Using a multi-dimensional information field, the economic cost of alternative power transmission and transformation projects is calculated against the actual geographical environment to obtain a comprehensive economic cost. S3: Based on the comprehensive economic cost obtained by comparing the economic cost of each option with the actual geographical environment, a multi-dimensional feasibility and environmental risk quantitative assessment is conducted to obtain a comprehensive risk index; S4: By using decision analysis, the comprehensive economic cost and comprehensive risk index are combined to obtain the optimal solution.

[0027] It should be noted that, as Figure 1 As shown, this invention proposes an auxiliary decision-making method for power transmission and transformation projects based on multi-source geographic information. This method uses a computer system as its platform and, through a series of programmed and logically interconnected steps, automates spatial analysis, cost calculation, and comprehensive evaluation of multiple alternative power transmission and transformation project schemes. It aims to overcome the limitations of information fragmentation and subjective judgment in traditional decision-making models, ultimately outputting scientifically based decision recommendations. The specific process of this method consists of four core steps, forming a complete analytical closed loop from environmental perception, cost quantification, risk assessment to comprehensive decision-making. The rigor of its theory and the systematic nature of its process ensure the objectivity and reliability of the decision results.

[0028] Example 2, refer to Figures 1-3 This is one embodiment of the present invention. Based on the above embodiment, a power transmission and transformation engineering auxiliary decision-making method based on multi-source geographic information is provided.

[0029] In this embodiment of the application, the initialization of the multidimensional spatiotemporal data fusion and decision model in step S1, and the construction of the multidimensional information field, includes steps A1-A4: A1: Through standardized data interfaces, geographic information data from different sources and in different formats are preprocessed and integrated into the central geographic information database. A2: The central geographic information database constitutes a digital twin of the decision-making environment; A3: Establish an engineering parameter database to store all the prior information required for subsequent calculations; A4: The system receives alternative schemes for power transmission and transformation projects to be evaluated and forms a scheme set.

[0030] It should be noted that this step is the solid foundation for all subsequent quantitative analyses. Its core task is not simply to list data, but to construct a unified multidimensional spatiotemporal information field that can accurately reflect the complexity of the real world and to provide a rigorous formal definition of the decision problem.

[0031] Furthermore, the specific implementation of step A1 is as follows: Through standardized data interfaces, geographic information data from different sources and in different formats are preprocessed, including projection transformation, topological verification, and semantic alignment, and then integrated and loaded into a central geographic information database.

[0032] Furthermore, the central geographic information database in step A2 constitutes a digital twin of the decision-making environment, and the key data layers it contains can be formally represented as follows: Digital Elevation Model (DEM) raster data representing three-dimensional terrain relief ; and a series of vector datasets characterizing land cover, natural constraints, and socioeconomic factors, such as land use types. Transportation network Distribution of water systems Ecological protection red line adverse geological disaster areas And the corresponding meteorological icing level zoning under different voltage levels wait.

[0033] Furthermore, the specific implementation method of the engineering parameter database in step A3 is as follows: Establish an engineering parameter database As a digital repository of domain knowledge, it is used to store prior information such as engineering cost coefficients, risk weights, and compensation standards required for all subsequent calculations.

[0034] The preferred technical solution step A4 of this application embodiment is implemented as follows: The system receives at least two alternative power transmission and transformation projects to be evaluated, generated during the planning and design phase, and forms a scheme set. Each plan Each is defined by a precise geographical entity consisting of a substation site and a transmission line path: in, is the substation site of the scheme, which is geometrically defined as a closed vector polygon formed by the coordinates of its four corner points, and its internal attributes include key information such as design elevation and others. is the transmission line route supporting the scheme, which is geometrically defined as a vector string formed by sequentially connecting a series of geographic coordinate points , accurately describing the trend of the line and the preset position of each tower. This step constructs a unified information foundation and clarifies the decision objects, providing necessary and structured data input and model parameters for the automated and spatialized cost and risk calculation for each scheme in subsequent steps.

[0035] In the embodiment of the present application, in step S2, using a multi-dimensional information field to calculate the economic cost of the alternative scheme for the power transmission and transformation project in the real geographic environment to obtain a comprehensive economic cost includes the following steps B1 to B4: B1: Calculate the comprehensive economic cost through the dynamic cost related to substation construction and the dynamic cost related to transmission line construction.

[0036] B2: Perform integral operation on the data in the digital twin within the station site area to obtain the excavation volume and the fill volume, and calculate the site leveling cost according to the calculated excavation volume and fill volume.

[0037] B3: Calculate the access road cost through distance function analysis.

[0038] B4: Calculate the dynamic cost related to transmission line construction by adopting a composite accounting mode.

[0039] It should be noted that step S2 completely abandons the traditional static and homogeneous "typical cost" estimation mode, and uses the multi-dimensional information field constructed in the first step to perform dynamic and refined accounting of the economic cost of each scheme that is fully coupled with the real geographic environment. In fact, the cost is not a fixed look-up table value, but a function of the interaction between the geographic environment and the engineering scheme.

[0040] The specific implementation of step B1 is as follows: For each alternative scheme , a comprehensive economic cost is calculated , and the cost consists of two parts: the dynamic cost related to substation construction and the dynamic cost related to transmission line construction , which is expressed as: where, and ​The calculation does not apply fixed industry quotas, but rather it is based on the geographical entities of the solution. and The calculation is performed using a refined model for spatial interaction operations.

[0041] The specific implementation method of step B2 is as follows: Regarding the construction cost of substations In this embodiment of the application, the focus is on calculating those factors related to the site address. Variable costs vary significantly depending on the specific geographical location and terrain conditions. First, there are site leveling costs. The calculation is based on accurate earthwork volume. This application's embodiments utilize DEM data... In the station area The volume of the excavation is obtained by performing integral calculations within the excavation area. and fill volume Its calculation model is as follows: in, Coordinates The original ground elevation at the location This refers to the design elevation of the station site. These two volume quantities, directly derived from the terrain data, were subsequently used in cost calculations: in, From Extracted unit cost coefficient.

[0042] It should be noted that the specific implementation method of the distance function analysis in step B3 is as follows: Secondly, this application's embodiments introduce "cost surface" analysis to calculate the cost of access roads. This method is far superior to the simple Euclidean distance. Based on Generate slope grid And construct a travel cost grid The cost value of each pixel It is an increasing function of the slope. It is an exponential cost function, where, This is the slope value. It is the basic cost coefficient. This is the slope influence coefficient, reflecting the difficulty and cost of construction on different slopes. The cost of the access road is the distance from the center point of the station site to the road network. Minimum cumulative cost path Total cost: in, This is the infrastructure cost coefficient. Finally, by... and Spatial overlay analysis was performed to determine the area of ​​the covered land type. A schematic diagram of land type overlay analysis is shown below. Figure 2 As shown.

[0043] After determining the area of ​​the covered land, the land acquisition cost It can be calculated accurately, among which This is the land acquisition compensation standard. Therefore, the total variable cost of the substation... This constitutes the sum of multiple dynamic cost items, which, along with fixed equipment costs, These together constitute the total cost of the site.

[0044] In an alternative embodiment, distance function analysis can also employ a path optimization algorithm based on terrain drag coefficients. This performs well in scenarios requiring strict single-cost optimization, but may not be as flexible and intuitive as cost surface analysis when considering multiple cost factors. Path optimization algorithms typically seek paths that minimize a single cost (such as time or distance). While drag coefficients can be incorporated to simulate costs, this may not intuitively express the concept of "cumulative cost" as well as cost surface analysis, especially when multiple cost factors need to be considered comprehensively.

[0045] In another alternative embodiment, distance function analysis can also employ a multi-objective path planning model. This is suitable for scenarios where computational time requirements are not stringent and multiple potential optimal solutions need to be explored. However, it requires multiple iterations and population evolution, consumes significant computational resources, and the solution time may far exceed the deterministic cumulative computation based on grids, such as cost surface analysis.

[0046] Regarding the construction cost of power transmission lines In this embodiment of the application, step B4, which uses a composite accounting model to calculate the dynamic costs related to the construction of transmission lines, adopts a composite accounting model that combines geospatial homogeneous segmented pricing with multi-source additional costs. The specific implementation method is as follows: It should be noted that the embodiments of this application define a spatial partitioning operation. This operation involves tracing the line path. With a range of geographic feature layers (such as topographic category layers derived from the DEM, glacial zoning maps) To perform spatial intersection, Automatically segmented into k geographically homogeneous sub-paths Each paragraph The construction cost of its body is its geometric length Multiply by from parameter library The unit length cost obtained by looking up the table, which perfectly matches the geographical features of that section. Furthermore, the calculation of additional costs is equally detailed. For example, by calculating the costs of each tower along the line. To the nearest road spatial distance Then sum them up to obtain the total cost of secondary handling by manpower and machinery. Total route cost. The complete calculation formula is expressed as follows: in, It is the coefficient of human transportation cost per unit distance. Is with Additional engineering costs required for a single crossing of critical infrastructure (such as railways, highways, and high-grade power lines) (see diagram of line crossing for example). Figure 3 (as shown), and This is by... The total number of spans is automatically calculated through spatial intersection analysis with the corresponding facility layers. This series of refined calculations leads to the final cost estimate. It can fit the real physical environment that the line traverses like never before.

[0047] In an optional embodiment, the composite accounting model can adopt a global pricing model based on a geographic feature regression model. Regression models predict costs based on overall or block-level features, making it difficult to accurately reflect cost abrupt changes along the route caused by localized terrain (such as steep cliffs or swamps) or obstacles (such as dense building clusters or important protected areas). This application's embodiment, through fine segmentation, can accurately capture and price these locally high-cost areas.

[0048] In another alternative embodiment, the composite accounting mode can adopt a simulation mode based on activity cost decomposition and geographical constraint simulation; the simulation modeling and operation process is very complex, especially for long-distance and complex routes, which requires the definition of a large number of activity, resource and geographical constraint rules, and the calculation time may be very long, making it unsuitable for scenarios that require rapid evaluation of a large number of alternative solutions.

[0049] In this embodiment of the application, step S3 involves conducting a multi-dimensional feasibility and environmental risk quantification assessment based on the comprehensive economic cost obtained by comparing the economic cost of each scheme with the actual geographical environment, resulting in a comprehensive risk index. This includes steps C1-C2: C1: A comprehensive risk index is obtained by spatial analysis of the geographical entities of the solution and the digital twin of the decision-making environment.

[0050] C2: Quantify direct conflict and proximity threat through a penalty function.

[0051] It should be noted that the economic costs of each option were calculated in step S2. Following precise quantification, step S3 aims to conduct a systematic risk quantification assessment of each option from the perspectives of technical feasibility and environmental friendliness, serving as a necessary supplement and check to purely economic considerations. Based on risk theory, this invention defines comprehensive risk as the result of the interaction between engineering options (exposure) and adverse geographical environment (hazard factors).

[0052] Furthermore, each alternative solution in this application is described in the embodiments. Construct a comprehensive risk index The index is obtained by analyzing the geographical entities of the scheme ( and This is derived by spatial analysis of a series of risk source layers defined in S1.

[0053] These risk source layers mainly include areas with unfavorable geological conditions. and ecological protection red line And so on. For each risk source layer This invention first establishes the impact range of different risk levels using "buffer analysis." Then, the solution... Spatial overlay analysis is performed on these buffer zones to accurately calculate the line length or site area falling within buffer zones of different risk levels. (Comprehensive Risk Index) Defined as the weighted cumulative sum of each individual risk term: in, It is the total number of predefined risk sources. From the parameter library The extracted first The weight of each risk source reflects the importance that decision-makers attach to the degree of avoidance they pose. It is a non-linear penalty function whose value is determined by the scheme and the first... Minimum spatial distance of each risk source and the area of ​​direct pressing Jointly decided. This invention provides a specific form of the penalty function that can simultaneously quantify direct conflict and proximity threats: in, and It is the penalty coefficient. It is the distance attenuation factor, all from The information is obtained from [the source]. This function clearly expresses the risk arising from direct contact (area). ) and proximity threats (by distance) It consists of two parts (the exponentially decaying term that determines the outcome), and its theoretical basis is the first law of geography, which states that spatial proximity implies stronger interaction. For areas that are absolutely forbidden to cross, It can be set to the maximum value to ensure that any capping will cause... If the value approaches infinity, it will be rejected. This step successfully transforms the vague, qualitative "site selection and route selection principles" of traditional feasibility studies into calculable, comparable, and traceable quantitative risk indicators. This provides another crucial decision-making dimension for subsequent comprehensive decision-making.

[0054] In this embodiment of the application, step S4 utilizes decision analysis to combine comprehensive economic cost and comprehensive risk index to obtain the optimal solution, including steps D1-D2: D1: The comprehensive economic cost and comprehensive risk index are dimensionless by using the linear scaling method; D2: Using a weighted method, calculate the final comprehensive utility value of each option, rank the comprehensive utility values ​​of all options, and recommend the option with the highest value as the optimal option.

[0055] In this embodiment of the application, the specific implementation of step D1 is as follows: After steps S2 and S3, this application has successfully completed each scheme. Two core, but independent, evaluation indicators were calculated: comprehensive economic cost. and comprehensive risk index .

[0056] In this embodiment, the decision analysis employs Multi-Criterion Decision Analysis (MCDA) theory, scientifically weighing and integrating two potentially conflicting objectives (i.e., minimizing cost and minimizing risk) to arrive at a globally optimal decision. Due to the comprehensive economic costs... and comprehensive risk index The dimensions, units, and numerical ranges of these quantities often differ significantly, making direct weighted summation mathematically meaningless and unreasonable, violating the principle of dimensional consistency. Therefore, First, a linear scaling transformation method (also known as min-max normalization) is used to dimensionlessly transform these two indicators to achieve commensurability between them. For the comprehensive economic cost... This cost-based indicator (lower values ​​are better) is normalized into a benefit-based cost score using the following formula. : in, For a set of solutions, for The maximum cost of each option for The minimum cost of each option.

[0057] Similarly, for the comprehensive risk index This cost-based indicator has a normalized benefit-based risk score. The calculation method and Exactly the same. Through this transformation, the cost and risk performance of all options are uniformly mapped to... Within the range, a larger value indicates better performance in that dimension.

[0058] The specific implementation method of step D2 is as follows: Based on step D1, this application adopts the Simple Weighted Method (SAW) to introduce a weighting coefficient for decision-makers' preferences for economy and safety / environmental protection. and (in and The final comprehensive utility value of each option is calculated by weighted summation. This utility value is the final sum of the results calculated in all preceding steps: Ultimately, the overall utility value of all options is calculated. Sort the solutions and select the ones with the highest utility values. As the optimal solution recommended to decision-makers, i.e. .

[0059] It should be noted that this decision result not only provides a clear final ranking, but more importantly, the system can provide decision-makers with a detailed data-driven explanation by tracing back its calculation process, such as in which specific cost items (e.g., ...) the optimal solution is found. or It has an advantage in terms of which specific risks it avoids. It performs exceptionally well in risk assessment, thus enabling the entire decision support process to achieve a closed loop from data input to scientific decision-making.

[0060] In an alternative embodiment, the decision analysis can employ the Analytic Hierarchy Process (AHP); when decision-makers need to weigh multiple qualitative indicators, AHP can provide an intuitive weight allocation and ranking of options.

[0061] In another alternative embodiment, the decision analysis may also employ the fuzzy comprehensive evaluation method; this method can effectively handle qualitative factors when the evaluation indicators are fuzzy or difficult to quantify.

[0062] Furthermore, the core of this invention lies in its originality in proposing and implementing a dynamic and automated decision-making method that deeply integrates the traditional economic evaluation system for power transmission and transformation projects with modern geospatial analysis technology. Its fundamental innovation is to move away from treating the industry's mature "typical cost" system as a static quota, and instead utilize GIS spatial analysis technology to dynamically and accurately "correct" (for substations) and "supplement" (for transmission lines), thereby completely resolving the critical pain point of the disconnect between typical costs and the actual geographical environment of the project. Based on this idea, another key aspect of this invention is the seamless integration and automation of the entire process from data input, spatial analysis, engineering quantity calculation, cost accounting, multi-objective evaluation to result output. This integrates previously discrete and manual processes into a logically rigorous and repeatable calculation flow. The cornerstone of this process is that this invention provides a clear and operable GIS spatial analysis technology implementation path for each specific engineering economic or risk problem (such as site leveling, human transportation, environmental avoidance, etc.), accurately mapping abstract engineering principles into specific algorithmic models, giving the entire method strong practicality and scientific rigor.

[0063] Based on the aforementioned innovations, the core technical solution for which this invention seeks protection should first encompass a complete auxiliary decision-making method for power transmission and transformation projects based on multi-source geographic information. This method includes systematic steps such as data integration, intelligent economic assessment, feasibility assessment, multi-objective comprehensive comparison, and decision result output. Within this overall method, this invention particularly seeks protection for the most innovative intelligent economic assessment step, specifically including: a method for quantifying substation site leveling costs through excavation and filling analysis using digital elevation models; a method for determining substation off-site infrastructure and land acquisition costs by comprehensively applying GIS overlay analysis and cost path analysis; and a method for dynamically calculating the line body and additional costs by performing geographically homogenized segmentation of transmission lines through spatial intersection analysis and combining typical cost and distance analysis. Finally, this invention also seeks protection for its systematic decision-making technology that, after dimensionless processing, inputs the quantitative economic costs and environmental risk indicators output from geospatial analysis into a multi-criteria decision-making model for weighted integration to calculate the final comprehensive utility value of each scheme. This technology constitutes a crucial bridge connecting massive spatial data analysis and final scientific decision-making.

[0064] Example 3 illustrates a schematic scheme for a decision-making support method for power transmission and transformation projects based on multi-source geographic information. It should be noted that the technical solution of this system for decision-making support of power transmission and transformation projects based on multi-source geographic information is based on the same concept as the aforementioned method for decision-making support of power transmission and transformation projects based on multi-source geographic information. Details not described in detail in this embodiment of the system for decision-making support of power transmission and transformation projects based on multi-source geographic information can be found in the description of the aforementioned method for decision-making support of power transmission and transformation projects based on multi-source geographic information.

[0065] This embodiment also provides a power transmission and transformation engineering auxiliary decision-making system based on multi-source geographic information, including: The initialization module initializes the multidimensional spatiotemporal data fusion and decision-making model and constructs a multidimensional information field. The first calculation module uses a multi-dimensional information field to calculate the economic cost of alternative power transmission and transformation projects against the actual geographical environment, and obtains the comprehensive economic cost. The second calculation module performs a multi-dimensional feasibility and environmental risk quantification assessment based on the comprehensive economic cost obtained by comparing the economic cost of each scheme with the actual geographical environment, and obtains a comprehensive risk index. The output module uses multidimensional decision analysis theory to combine comprehensive economic costs and comprehensive risk indices to obtain the optimal solution.

[0066] This embodiment also provides an electronic device applicable to a power transmission and transformation project auxiliary decision-making situation based on multi-source geographic information, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the power transmission and transformation project auxiliary decision-making method based on multi-source geographic information as proposed in the above embodiment.

[0067] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements a power transmission and transformation engineering auxiliary decision-making method based on multi-source geographic information as proposed in the above embodiments.

[0068] The storage medium proposed in this embodiment belongs to the same inventive concept as the method for implementing a power transmission and transformation engineering auxiliary decision-making based on multi-source geographic information proposed in the above embodiments. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0069] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0070] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A decision-making support method for power transmission and transformation projects based on multi-source geographic information, characterized in that, include: Initialize a multidimensional spatiotemporal data fusion and decision-making model to construct a multidimensional information field; By utilizing a multidimensional information field, the economic costs of alternative power transmission and transformation projects are calculated in relation to the actual geographical environment, resulting in a comprehensive economic cost. Based on the comprehensive economic cost obtained by comparing the economic cost of each option with the actual geographical environment, a multi-dimensional feasibility and environmental risk quantitative assessment is conducted to obtain a comprehensive risk index. By combining comprehensive economic costs and comprehensive risk indices through decision analysis, the optimal solution can be obtained.

2. The auxiliary decision-making method for power transmission and transformation projects based on multi-source geographic information as described in claim 1, characterized in that, The initialization of the multidimensional spatiotemporal data fusion and decision-making model, and the construction of a multidimensional information field, includes: Through standardized data interfaces, geographic information data from different sources and in different formats are preprocessed and then integrated and loaded into the central geographic information database. The central geographic information database constitutes a digital twin of the decision-making environment; Establish an engineering parameter database to store all the prior information required for subsequent calculations; The system receives alternative plans for power transmission and transformation projects to be evaluated and forms a plan set.

3. The auxiliary decision-making method for power transmission and transformation projects based on multi-source geographic information as described in claim 2, characterized in that, The method of utilizing a multi-dimensional information field to calculate the economic cost of alternative power transmission and transformation projects against the actual geographical environment yields a comprehensive economic cost, including: Calculate the comprehensive economic cost by combining the dynamic costs related to substation construction and the dynamic costs related to transmission line construction. By integrating the data in the digital twin within the site area, the excavation volume and fill volume are obtained, and the site leveling cost is calculated based on the calculated excavation volume and fill volume. The cost of access roads to the station is calculated using distance function analysis. A composite accounting model is used to calculate the dynamic costs related to the construction of transmission lines.

4. The auxiliary decision-making method for power transmission and transformation projects based on multi-source geographic information as described in claim 3, characterized in that, The comprehensive economic cost, calculated based on the economic cost of each option and the actual geographical environment, is used to conduct a multi-dimensional feasibility and environmental risk quantification assessment, resulting in a comprehensive risk index, including: A comprehensive risk index is obtained by spatial analysis of the geographical entities of the solution and the digital twin of the decision-making environment. Direct conflict and proximity threat are quantified through a penalty function.

5. The auxiliary decision-making method for power transmission and transformation projects based on multi-source geographic information as described in claim 4, characterized in that, The method of using decision analysis to combine comprehensive economic costs and comprehensive risk indices to obtain the optimal solution includes: The linear scaling method is used to perform dimensionless processing on the comprehensive economic cost and comprehensive risk index; A weighted method is used to calculate the final comprehensive utility value of each option, and the comprehensive utility values ​​of all options are ranked. The option with the highest value is recommended as the optimal option.

6. The auxiliary decision-making method for power transmission and transformation projects based on multi-source geographic information as described in claim 5, characterized in that, The process involves integrating data from the digital twin within the site area to obtain the cut and fill volumes. Based on these calculated volumes, the site leveling cost is calculated, and the DEM data is then analyzed. In the station area Integral operations are performed within the range, expressed as: in, Coordinates The original ground elevation at the location The design elevation of the station site Expressed as excavation volume, Expressed as fill volume; in, Expressed as a unit cost coefficient, This is expressed as the cost of site leveling.

7. The auxiliary decision-making method for power transmission and transformation projects based on multi-source geographic information as described in claim 6, characterized in that, The composite accounting model is used to calculate the dynamic costs related to the construction of transmission lines, and to calculate the costs of each tower on the line. To the nearest road Spatial distance, total cost of the route Represented as: in, It is the coefficient of human transportation cost per unit distance. Is with Additional engineering costs required for a single crossing of a critical infrastructure. Represented as by The total number of spans is automatically calculated by performing spatial intersection analysis with the corresponding facility layer.

8. A power transmission and transformation engineering auxiliary decision-making system based on multi-source geographic information, using the method described in any one of claims 1-7, characterized in that, include: The initialization module initializes the multidimensional spatiotemporal data fusion and decision-making model and constructs a multidimensional information field. The first calculation module uses a multi-dimensional information field to calculate the economic cost of alternative power transmission and transformation projects against the actual geographical environment, and obtains the comprehensive economic cost. The second calculation module performs a multi-dimensional feasibility and environmental risk quantification assessment based on the comprehensive economic cost obtained by comparing the economic cost of each scheme with the actual geographical environment, and obtains a comprehensive risk index. The output module uses multidimensional decision analysis theory to combine comprehensive economic costs and comprehensive risk index to obtain the optimal solution.

9. An electronic device, comprising: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, they implement the steps of the auxiliary decision-making method for power transmission and transformation projects based on multi-source geographic information as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of the auxiliary decision-making method for power transmission and transformation projects based on multi-source geographic information as described in any one of claims 1 to 7.

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