Device layout optimization method and system in power transmission and transformation engineering design

Abstract

The application provides a device layout optimization method and system in power transmission and transformation engineering design, relates to the technical field of smart power grids, and comprises the following steps: performing regional division on design drawing information to obtain N power transmission and transformation engineering regions; calling a power transmission and transformation engineering layout data space, performing effect evaluation fitting, and constructing a power transmission and transformation engineering layout simulation module; sequentially performing device layout optimization on the N power transmission and transformation engineering regions to determine N power transmission and transformation region device layout schemes; performing three-dimensional modeling to generate an initial engineering device layout model and performing abnormality identification marking; performing global optimization analysis on the initial engineering device layout model based on device layout abnormality characteristic information to determine a power transmission and transformation engineering device layout scheme. The application solves the technical problem of low power transmission and transformation engineering device layout efficiency caused by unreasonable space utilization, improves the power transmission and transformation engineering device layout efficiency through regional division and global optimization combined with abnormality identification.

Description

Technical Field

[0001] This application relates to the field of smart grid technology, and in particular to methods and systems for optimizing equipment layout in power transmission and transformation engineering design. Background Technology

[0002] With the increasing demand for electricity, traditional power transmission and transformation engineering design is facing numerous challenges, particularly in equipment layout and space utilization. Currently, power transmission and transformation engineering design typically relies on manual experience for layout, and the processes of collecting design drawing information and dividing areas lack automation. This leads to problems such as unreasonable space utilization, redundant configurations, and low layout efficiency. Even when using computer-aided design (CAD) software, these tools are mainly limited to drawing two-dimensional drawings and lack intelligent optimization functions, making it difficult to achieve automated and refined equipment layout in complex environments. Optimizing equipment layout directly affects the operational efficiency of power transmission and transformation projects. Especially under a smart grid architecture, unreasonable equipment layout can lead to low power transmission efficiency, energy waste, frequent equipment failures, and consequently, increased operation and maintenance costs, reducing the stability and intelligence level of the power grid system.

[0003] In summary, existing technologies suffer from low efficiency in the layout of power transmission and transformation equipment due to unreasonable space utilization and difficulty in making precise layouts based on specific needs and characteristics. Summary of the Invention

[0004] The purpose of this application is to provide a method and system for optimizing equipment layout in power transmission and transformation engineering design, in order to solve the technical problem in the prior art that the equipment layout efficiency of power transmission and transformation engineering is low due to unreasonable space utilization and difficulty in making fine layout according to specific needs and characteristics.

[0005] In view of the above problems, this application provides a method and system for optimizing equipment layout in power transmission and transformation engineering design.

[0006] Firstly, this application provides a method for optimizing equipment layout in the design of power transmission and transformation projects. This method is implemented through a system for optimizing equipment layout in power transmission and transformation projects. The method includes: acquiring design drawings and distribution characteristic data of the target power transmission and transformation project; dividing the design drawings into regions based on the distribution characteristic data to obtain N power transmission and transformation project regions; calling upon the power transmission and transformation project layout data space through a smart grid, performing effect evaluation and fitting on the data space, and constructing a power transmission and transformation project layout simulation module; using the simulation module to sequentially optimize the equipment layout in the N power transmission and transformation project regions based on the data space, determining N equipment layout schemes for each region; performing 3D modeling based on the N equipment layout schemes to generate an initial project equipment layout model; identifying and marking anomalies in the initial project equipment layout model to obtain abnormal equipment layout feature information; and performing global optimization analysis on the initial project equipment layout model based on the abnormal equipment layout feature information to determine the power transmission and transformation project equipment layout scheme.

[0007] Optionally, the design drawing information is mapped and labeled based on the distribution characteristic data to obtain power transmission and transformation engineering design distribution data; a set of engineering area division factors is obtained, which includes equipment function, terrain boundary, load density, and equipment safety level; the power transmission and transformation engineering design distribution data is parsed and identified according to the set of engineering area division factors to obtain a set of power transmission and transformation engineering factor parameters; the design drawing information is divided into areas based on the set of power transmission and transformation engineering factor parameters to obtain N power transmission and transformation engineering areas.

[0008] Optionally, based on the accuracy requirements of the power transmission and transformation project area division, a regional grid division density is set; the design drawing information is divided into regional grids according to the regional grid division density to obtain power transmission and transformation project grid areas; cluster analysis is performed on the power transmission and transformation project grid areas based on the power transmission and transformation project factor parameter set to obtain grid area clustering results; the boundary division of the design drawing information is adjusted based on the grid area clustering results to obtain the N power transmission and transformation project areas.

[0009] Optionally, based on the power transmission and transformation project layout data space, power transmission and transformation project characteristic data, equipment layout data, and corresponding layout effect data are determined; a power transmission and transformation project layout effect evaluation index set is constructed, and the influence degree of the power transmission and transformation project layout effect evaluation index set is evaluated to determine the effect evaluation index influence factor set; based on the effect evaluation index influence factor set and the power transmission and transformation project layout effect evaluation index set, the corresponding layout effect data is evaluated with effect weighting to obtain equipment layout effect data; the power transmission and transformation project characteristic data, equipment layout data, and equipment layout effect data are fitted with simulation effects to construct the power transmission and transformation project layout simulation module.

[0010] Optionally, based on the power transmission and transformation project layout effect evaluation index set, correlation impact data mining is performed to obtain a power transmission and transformation project layout effect index dataset; the power transmission and transformation project layout effect index dataset is forward standardized to obtain a standard power transmission and transformation project effect index dataset; the standard power transmission and transformation project effect index dataset is subjected to ratio value calculation and information entropy calculation to obtain a power transmission and transformation project effect index information entropy set; based on the power transmission and transformation project effect index information entropy set, entropy weight calculation is performed on the power transmission and transformation project layout effect evaluation index set to determine the effect evaluation index influence factor set.

[0011] Optionally, based on the design distribution data of the N power transmission and transformation project areas, a traversal matching analysis is performed sequentially within the power transmission and transformation project layout data space to obtain N regional adaptable equipment layout schemes; the power transmission and transformation project layout simulation module is used to simulate and evaluate the N regional adaptable equipment layout schemes respectively to obtain the simulation effect of the N regional layout schemes; based on the simulation effect of the N regional layout schemes, the N regional adaptable equipment layout schemes are iteratively searched and optimized to determine the N power transmission and transformation area equipment layout schemes.

[0012] Optionally, based on the safety standards for power transmission and transformation engineering applications, anomaly identification rules for equipment layout are determined. These rules include equipment distance constraints, equipment distribution constraints, and power operation constraints. Anomaly identification and detection are performed on the initial engineering equipment layout model according to these rules to obtain a set of abnormal equipment layout locations. The abnormal equipment layout location set is then subjected to type identification and anomaly scoring to obtain an abnormal location feature set. Finally, the abnormal location feature set is fused into a list to obtain the abnormal equipment layout feature information.

[0013] Optionally, the initial engineering equipment layout model is globally optimized and analyzed based on the abnormal equipment layout feature information to obtain the equipment layout scheme parameter optimization threshold; the equipment layout scheme population is initialized according to the equipment layout scheme parameter optimization threshold; the power transmission and transformation engineering layout simulation module is used to perform optimization integration output within the equipment layout scheme population to determine the power transmission and transformation engineering equipment layout scheme.

[0014] Optionally, the power transmission and transformation project layout simulation module is used to randomly select and evaluate multiple layout schemes within the equipment layout scheme population to obtain simulation effects of multiple layout schemes; the equipment layout scheme population is then expanded by cross-mutation according to the simulation effects of the multiple layout schemes to obtain an updated equipment layout scheme population; global iterative optimization is performed within the updated equipment layout scheme population until a preset termination condition is met to determine the power transmission and transformation project equipment layout scheme.

[0015] Secondly, this application also provides an equipment layout optimization system for power transmission and transformation engineering design, used to execute the equipment layout optimization method for power transmission and transformation engineering design as described in the first aspect, wherein the equipment layout optimization system for power transmission and transformation engineering design includes: a region division module, used to acquire design drawing information and distribution characteristic data of the target power transmission and transformation engineering, and to divide the design drawing information into regions based on the distribution characteristic data to obtain N power transmission and transformation engineering regions; a simulation construction module, used to call the power transmission and transformation engineering layout data space through the smart grid, to perform effect evaluation and fitting on the power transmission and transformation engineering layout data space, and to construct a power transmission and transformation engineering layout simulation module; The system includes a local optimization module, which utilizes the power transmission and transformation project layout simulation module to sequentially optimize the equipment layout of the N power transmission and transformation project areas based on the power transmission and transformation project layout data space, thereby determining the equipment layout schemes for the N power transmission and transformation areas; an anomaly identification and marking module, which performs 3D modeling based on the equipment layout schemes for the N power transmission and transformation areas, generates an initial project equipment layout model, identifies and marks anomalies in the initial project equipment layout model, and obtains equipment layout anomaly feature information; and a global optimization analysis module, which performs global optimization analysis on the initial project equipment layout model based on the equipment layout anomaly feature information, thereby determining the power transmission and transformation project equipment layout scheme.

[0016] One or more technical solutions provided in this application have at least the following beneficial effects:

[0017] By acquiring the design drawings and distribution characteristic data of the target power transmission and transformation project, the design drawings are divided into N power transmission and transformation project areas based on the distribution characteristic data. The power transmission and transformation project layout data space is then accessed through the smart grid, and an effect evaluation and fitting process is performed on the data space to construct a power transmission and transformation project layout simulation module. Using this simulation module, the equipment layout of the N power transmission and transformation project areas is optimized sequentially based on the data space, determining the equipment layout schemes for each of the N areas. Three-dimensional modeling is then performed based on these schemes to generate an initial equipment layout model. Anomalies are identified and marked on this initial model to obtain abnormal equipment layout feature information. Finally, a global optimization analysis is performed on the initial model based on this abnormal feature information to determine the final power transmission and transformation project equipment layout scheme. In other words, the entire project is divided into N different areas using design drawings and distribution characteristic data. The smart grid accesses the data space and constructs a simulation module that can simulate the actual layout effect. Equipment layout optimization is performed in each divided area to determine the layout scheme. After 3D modeling based on the layout scheme, the overall layout model is obtained. Potential problems in the model are identified and the layout is optimized to determine the final equipment layout scheme. This ensures that the layout not only meets the operation requirements of the smart grid but also facilitates subsequent maintenance, thereby improving the design efficiency and quality of power transmission and transformation projects.

[0018] The above description is merely an overview of the technical solution of this application. To better understand the technical means of this application and to facilitate its implementation according to the description, and to make the above and other objects, features, and advantages of this application more apparent, specific embodiments of this application are described below. It should be understood that the content described in this section is not intended to identify key or important features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent through the following description. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0020] Figure 1 This is a flowchart illustrating the equipment layout optimization method in the power transmission and transformation engineering design of this application;

[0021] Figure 2 This is a schematic diagram of the equipment layout optimization system in the power transmission and transformation engineering design of this application.

[0022] Figure labeling: Region division module 11, simulation construction module 12, layout scheme optimization module 13, anomaly identification and marking module 14, global optimization analysis module 15. Detailed Implementation

[0023] This application provides a method and system for optimizing equipment layout in power transmission and transformation engineering design. It addresses the technical problem of low equipment layout efficiency in existing technologies due to unreasonable space utilization and difficulty in achieving refined layout based on specific needs and characteristics. By dividing the entire project into N different areas using design drawings and distribution characteristic data, and utilizing the data space of a smart grid, a simulation module capable of simulating the actual layout effect is constructed. Equipment layout optimization is performed in each divided area to determine the layout scheme. Based on the layout scheme, a 3D model is created to obtain the overall layout model. Potential problems in the model are identified and optimized to determine the final equipment layout scheme. This ensures that the layout not only meets the operational requirements of the smart grid but also facilitates subsequent maintenance, thereby improving the design efficiency and quality of power transmission and transformation engineering.

[0024] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. It should be understood that this application is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application. It should also be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all of them.

[0025] Example 1, please refer to the appendix. Figure 1 This application provides a method for optimizing equipment layout in power transmission and transformation engineering design. The method is executed by a system for optimizing equipment layout in power transmission and transformation engineering design, and specifically includes the following steps:

[0026] S100: Obtain the design drawings and distribution characteristic data of the target power transmission and transformation project, and divide the design drawings into regions based on the distribution characteristic data to obtain N power transmission and transformation project regions.

[0027] Furthermore, this application S100 includes:

[0028] Based on the distribution characteristic data, the design drawing information is mapped and labeled to obtain the power transmission and transformation project design distribution data; a set of engineering area division factors is obtained, which includes equipment function, terrain boundary, load density, and equipment safety level; the power transmission and transformation project design distribution data is parsed and identified according to the engineering area division factor set to obtain a set of power transmission and transformation project factor parameters; based on the set of power transmission and transformation project factor parameters, the design drawing information is divided into areas to obtain N power transmission and transformation project areas.

[0029] Specifically, obtaining the design drawings of the target power transmission and transformation project involves acquiring drawings that describe the overall layout, equipment installation locations, wiring routes, key nodes, and other detailed information of the project. These drawings include the layout of all equipment in the substation, design specifications, electrical connections, and are typically created using design tools such as CAD. Power transmission and transformation project design drawings may include the locations of equipment such as transformers, circuit breakers, grounding systems, cable channels, and control rooms, as well as the distribution of current and voltage. Distribution characteristic data describes the spatial, functional, and load characteristics of each piece of equipment in the design drawings. It describes the physical distribution of these devices, their functional requirements, and operating conditions, such as the location, capacity, and type of the equipment. Based on this, the distance between equipment, power requirements, and operating environment can be clearly defined.

[0030] Based on the distribution characteristic data, the information in the design drawings is mapped and labeled, associating the distribution characteristic data with the corresponding locations in the design drawings. The data is then mapped onto the drawings using mapping and labeling tools (such as GIS software). For example, the rated power of the transformer or the safety level of the circuit breaker is labeled on the design drawings to ensure that the functional characteristics and locations of each device have a clear correspondence, thus forming a labeled design drawing.

[0031] Obtaining the set of factors for dividing the engineering area—that is, the set of key factors for dividing the power transmission and transformation project into different areas—determines how to subdivide the entire power transmission and transformation project area in the design drawings into multiple functional areas or sub-areas based on specific needs. This includes equipment functions, terrain boundaries, load density, and equipment safety levels. Based on equipment functions, the roles or functions of different equipment can be determined; for example, transformers, circuit breakers, and switches each perform different tasks. Based on terrain boundaries, the impact of the natural environment and land use on the power grid layout can be determined. Based on load density, the power demand per unit area within the region can be determined. Based on equipment safety levels, the required safety guarantees for the equipment can be determined.

[0032] Based on the engineering area division factor set, the design distribution data of power transmission and transformation projects is analyzed and labeled to identify key parameters, including information such as the function, type, and load of each piece of equipment within the area. Analysis and labeling involves applying the engineering area division factor set (such as load density and equipment function) to the design distribution data to identify and classify each piece of equipment and its corresponding area. In other words, based on the engineering area division factor set, the area where each piece of equipment is located is analyzed, identifying parameters such as equipment function, load demand, and safety level for each area. After analysis based on the engineering area division factor set, a set of power transmission and transformation project factor parameters is obtained, including detailed information such as the electrical equipment configuration, function, and load demand for each area.

[0033] Based on the parameter set of the power transmission and transformation project, the entire power transmission and transformation project area on the design drawings is divided into N power transmission and transformation project areas, where N represents the number of areas and is a positive integer. This division is primarily based on the design drawings and distribution characteristic data, combined with factors such as equipment function, terrain, load density, and safety level. Each area has its own characteristics in terms of function, equipment requirements, and load density, allowing for targeted equipment configuration and optimization. Through area division and load density analysis, the most suitable equipment can be configured in different areas, thereby improving overall stability and operational efficiency.

[0034] Furthermore, this application also includes the following steps:

[0035] Based on the accuracy requirements for the regional division of power transmission and transformation projects, a regional grid division density is set; the design drawing information is divided into regional grids according to the regional grid division density to obtain power transmission and transformation project grid regions; cluster analysis is performed on the power transmission and transformation project grid regions based on the power transmission and transformation project factor parameter set to obtain grid region clustering results; the boundary division of the design drawing information is adjusted based on the grid region clustering results to obtain the N power transmission and transformation project regions.

[0036] Specifically, the grid density is set based on the required precision of the power transmission and transformation project area division, i.e., the level of detail required for the area division. A higher grid density results in a more detailed area division, allowing for a more accurate reflection of the actual situation regarding equipment and load information within each area. If lower precision is required, a lower grid density can be used. For example, if the project is complex and the load demand within the area is high, a higher grid density with a smaller grid size, such as a 10m x 10m grid, is typically employed.

[0037] Based on the regional grid division density, the entire design drawing is divided into grid areas to obtain the power transmission and transformation project grid regions, which are small areas obtained through regional grid division. For the power transmission and transformation project grid regions on the design drawings, clustering analysis algorithms (such as K-means clustering, DBSCAN, etc.) are used to divide the grid regions into different categories, grouping regions with similar characteristics together. In other words, based on equipment function, terrain boundaries, load density, equipment safety level, etc., cluster analysis is performed on the grid regions, and they are grouped according to the similarity of parameter sets.

[0038] Based on the results of cluster analysis, specifically the grid region clustering, the design drawings are used to adjust boundary divisions, merging equipment and functions in similar areas, and optimizing area size and layout according to load density, safety requirements, and other factors. For example, after cluster analysis, if an area has a high load density and complex equipment functions, it may be necessary to expand the boundary of that area and place more redundant equipment within it. Conversely, for areas with low load density, the boundary may be reduced, and redundant equipment may be decreased.

[0039] Through grid partitioning and cluster analysis, N optimized power transmission and transformation engineering areas were obtained. Each area was optimized and adjusted based on its functional requirements, load density, and safety level to improve the efficiency and reliability of the overall layout. Detailed grid partitioning and cluster analysis accurately reflect the specific needs of each area. Within each area, equipment can be rationally configured according to load density and safety requirements, avoiding unnecessary redundancy and improving resource utilization efficiency.

[0040] S200: By calling the power transmission and transformation project layout data space through the smart grid, the power transmission and transformation project layout data space is evaluated and fitted to construct a power transmission and transformation project layout simulation module.

[0041] Furthermore, this application S200 includes:

[0042] Based on the power transmission and transformation project layout data space, the characteristic data, equipment layout data, and corresponding layout effect data of the power transmission and transformation project are determined; a set of evaluation indicators for the layout effect of the power transmission and transformation project is constructed, and the influence degree of the evaluation indicators is assessed to determine the set of influence factors for the effect evaluation indicators; based on the set of influence factors for the effect evaluation indicators and the set of evaluation indicators for the layout effect of the power transmission and transformation project, the corresponding layout effect data is evaluated with weighted effect to obtain the equipment layout effect data; the simulation effect is fitted to the characteristic data, equipment layout data, and equipment layout effect data of the power transmission and transformation project to construct the simulation module for the layout of the power transmission and transformation project.

[0043] Furthermore, this application also includes the following steps:

[0044] Based on the aforementioned power transmission and transformation project layout effect evaluation index set, correlation impact data mining is performed to obtain a power transmission and transformation project layout effect index dataset. The power transmission and transformation project layout effect index dataset is then forward standardized to obtain a standard power transmission and transformation project effect index dataset. Proportion value calculation and information entropy calculation are performed on the standard power transmission and transformation project effect index dataset to obtain a power transmission and transformation project effect index information entropy set. Based on the power transmission and transformation project effect index information entropy set, entropy weight calculation is performed on the power transmission and transformation project layout effect evaluation index set to determine the effect evaluation index influence factor set.

[0045] Specifically, by accessing the power transmission and transformation project layout data space through the smart grid, all information related to the power transmission and transformation project can be obtained, including equipment layout, functional requirements, load requirements, and regional characteristics. The power transmission and transformation project layout data space contains all design information, equipment layout, functional requirements, and load information for the power transmission and transformation project. Based on this data space, characteristic data, equipment layout data, and corresponding layout effect data for the power transmission and transformation project are determined. Characteristic data describes the basic characteristics of the power transmission and transformation project, such as voltage level, capacity, and line length; equipment layout data includes equipment location, quantity, type, and connection method; and layout effect data includes actual effect data such as load distribution, equipment spacing, and safety.

[0046] Based on the needs and actual operating conditions of power transmission and transformation projects, a series of evaluation indicators are defined to measure the effectiveness of equipment layout, namely, the power transmission and transformation project layout effectiveness evaluation indicator set. The impact degree of this indicator set is assessed to identify the key factors affecting the layout effectiveness.

[0047] First, correlation impact data mining is performed on the evaluation index set of power transmission and transformation project layout effects to analyze the relationships between various factors in power transmission and transformation project design (such as equipment layout, load density, and safety), and to extract factors that have a significant impact on the layout effect. Correlation analysis is then conducted on the various factors in power transmission and transformation project design to uncover the correlations between them, resulting in a dataset of power transmission and transformation project layout effect indicators. Correlation impact data mining is a method that analyzes the correlations between different variables using data mining techniques. By mining the relationships between equipment layout and other design factors, it identifies which factors have a significant impact on the layout effect.

[0048] Forward standardization is performed on the dataset of power transmission and transformation project layout effect indicators to standardize the data to a uniform range (e.g., 0 to 1) to eliminate the influence of dimensional differences during calculation. Forward standardization is a data preprocessing method commonly used to handle data with different dimensions. It transforms the values ​​of each data point into the same range (usually between 0 and 1) according to certain rules to eliminate the influence of dimensions on comparisons.

[0049] The standard power transmission and transformation project performance index dataset is used to calculate proportions. Different evaluation indicators are processed according to relative proportions, typically by comparing each indicator's data with other data to calculate its relative weight and determine which indicators have a greater impact on the overall system and which have a smaller impact. For each indicator, the proportion is calculated based on the ratio between its standardized value and the standardized values ​​of other indicators. Based on the proportions, the information entropy of each evaluation indicator is calculated to measure its contribution to the overall layout optimization. The calculation of information entropy reveals which indicators have a greater impact on the system and which have a smaller impact. Information entropy calculation is a measure of uncertainty or information content used to assess the information contribution of each evaluation indicator in equipment layout. After completing the proportion and information entropy calculations, a set of information entropy values ​​for each evaluation indicator (i.e., the information entropy set) is obtained, reflecting the contribution and influence of each indicator.

[0050] Based on the information entropy value of each indicator, its weight is calculated to obtain the set of influencing factors for the evaluation indicators. Entropy weight calculation is performed by calculating the information entropy of each indicator to obtain the weight of each evaluation indicator. Indicators with larger weights indicate that they have a greater impact on the layout effect. Through data mining and standardization, key factors affecting the layout effect are accurately identified. By calculating information entropy and entropy weight, the influence of each evaluation indicator can be quantified, ensuring that the optimization process focuses on the most critical indicators, avoids over-reliance on unimportant factors, and identifies and adjusts potential problems in the early stages, thereby improving the overall efficiency and stability of equipment layout and reducing later maintenance costs.

[0051] Based on the set of influencing factors for effectiveness evaluation indicators and the set of effectiveness evaluation indicators for power transmission and transformation project layouts, the corresponding layout effectiveness data are weighted and evaluated to obtain a score for the layout effectiveness. The score of each evaluation indicator is multiplied by its corresponding influencing factor, and then a weighted average is calculated to form a comprehensive layout effectiveness score. Simulation effects are fitted using power transmission and transformation project characteristic data, equipment layout data, and equipment layout effectiveness data to construct a power transmission and transformation project layout simulation module. This module is used to simulate and evaluate the effectiveness of different layout schemes, thereby identifying the shortcomings of the schemes and making targeted optimizations. Through the analysis and simulation fitting of power transmission and transformation project layout data space, the effectiveness of different layout schemes can be evaluated, ensuring that the finally selected scheme can maximize system operating efficiency, reduce energy consumption, improve safety, and optimize space utilization.

[0052] S300: Using the power transmission and transformation project layout simulation module based on the power transmission and transformation project layout data space, the equipment layout optimization is performed sequentially on the N power transmission and transformation project areas to determine the equipment layout schemes for the N power transmission and transformation areas.

[0053] Furthermore, this application S300 includes:

[0054] Based on the design distribution data of the N power transmission and transformation project areas, a traversal matching analysis is performed sequentially within the power transmission and transformation project layout data space to obtain N regional adaptable equipment layout schemes. The power transmission and transformation project layout simulation module is used to simulate and evaluate the N regional adaptable equipment layout schemes to obtain the simulation effects of the N regional layout schemes. Based on the simulation effects of the N regional layout schemes, the N regional adaptable equipment layout schemes are iteratively searched and optimized to determine the N power transmission and transformation area equipment layout schemes.

[0055] Specifically, based on the design distribution data of N power transmission and transformation project areas—that is, the equipment layout scheme and spatial distribution of each area, encompassing information such as equipment type, location, and functional allocation—the system iterates through the power transmission and transformation project layout data space to match suitable equipment layout schemes for each area, resulting in N suitable equipment layout schemes for each area. Each suitable equipment layout scheme is a scheme suitable for the current area within the power transmission and transformation project layout data space, and each area may match multiple equipment layout schemes.

[0056] N regional equipment layout schemes are input into the power transmission and transformation project layout simulation module for simulation evaluation to determine their actual effectiveness. Based on the simulation results of the N regional layout schemes, an iterative search and optimization process is performed to find the scheme with the best overall effect among all schemes. This determines the N power transmission and transformation area equipment layout schemes for each of the N regions, which are the optimal equipment layout schemes for each region after simulation verification. Through traversal matching analysis, multiple reasonable layout schemes are quickly selected. Through simulation evaluation and iterative optimization, the final equipment layout scheme ensures the efficiency and safety of the power transmission and transformation project in actual operation, ensuring an efficient, stable, and safe power transmission and transformation project layout scheme.

[0057] S400: Based on the layout scheme of the N power transmission and transformation areas, perform three-dimensional modeling to generate an initial engineering equipment layout model, and perform anomaly identification and marking on the initial engineering equipment layout model to obtain equipment layout anomaly feature information.

[0058] Furthermore, this application S400 includes:

[0059] Based on the safety standards for power transmission and transformation engineering, rules for identifying equipment layout anomalies are determined. These rules include equipment distance constraints, equipment distribution constraints, and power operation constraints. Anomalies are detected in the initial engineering equipment layout model according to these rules to obtain a set of abnormal equipment layout locations. The abnormal equipment layout locations are then identified and scored to obtain an anomaly feature set. Finally, the anomaly feature set is fused into a list to obtain the equipment layout anomaly feature information.

[0060] Specifically, based on the equipment layout schemes for N power transmission and transformation project areas, the equipment locations, spacing, load requirements, and safety standards for each area are determined. The equipment layout schemes for the N areas are then input into 3D modeling software, accurately displaying the equipment locations, dimensions, and relationships between them in 3D space. Each piece of equipment is placed according to the layout scheme's requirements, forming a complete 3D model. The initial engineering equipment layout model is a 3D model generated for the entire power transmission and transformation project area, showing the specific locations, spacing, and installation directions of all equipment within the area.

[0061] Obtaining safety standards for power transmission and transformation projects involves identifying the safety specifications and standards that guide the design, construction, and operation of these projects, ensuring that power equipment and the power grid meet requirements for safety, stability, and reliability. Based on these safety standards, rules for identifying anomalies in equipment layout are established, covering safe distances between equipment (equipment distance constraints), the rationality of equipment distribution (equipment distribution constraints), and the load requirements and operational limitations of the power system (power operation constraints). These anomaly identification rules are used to determine whether the equipment layout meets design requirements, helping to identify potential safety hazards or unreasonable layouts.

[0062] Based on the equipment layout anomaly identification rules, the initial engineering equipment layout model is subjected to anomaly detection to identify all areas that do not meet safety standards. For example, the location and type of all equipment in the power transmission and transformation project area are input into the computer simulation system. According to the equipment layout anomaly identification rules, if the distance between certain transformers and distribution equipment is less than the specified value, these will be marked as anomalies. The equipment layout anomaly point set is the set of all detected anomaly points in the initial equipment layout model. These points indicate problems or non-compliance in the layout, such as equipment being too close together or being poorly distributed.

[0063] The system identifies the specific anomalies in the equipment layout, such as abnormal equipment distance, abnormal equipment distribution, or abnormal power operation. Each point is categorized based on its location, equipment type, and relationship with other equipment. Anomaly type identification can be based on pre-defined design rules, such as equipment spacing requirements, load limits, and safety regulations. Each anomaly point is scored according to its type and severity, typically based on its impact on equipment safety, performance, and maintenance. For example, insufficient spacing may pose a significant safety hazard and therefore receives a higher score, while a slight overload would result in a lower score.

[0064] An anomaly feature set refers to the collection of all key information describing an anomaly, including anomaly type, severity, impact range, and recommended improvement measures. For example, the feature set of an identified anomaly might include: anomaly type: insufficient equipment spacing; severity: high; impact: could cause malfunctions in adjacent equipment; recommendation: increase equipment spacing to 5 meters. The anomaly feature sets are then fused from multiple sources into a comprehensive list, allowing for a comprehensive evaluation of all anomaly features. After type identification and scoring, the feature sets of multiple anomalies (such as insufficient equipment spacing or overload) are collected into a list. The features of all anomalies are then merged according to certain rules, such as sorting by type or severity.

[0065] By determining the rules for identifying abnormal equipment layouts based on safety standards, the system automatically identifies abnormal points in the layout model, scores them, and fuses feature information. This allows for the timely detection of problems that may lead to equipment failure, overload, or safety hazards, prioritizing the resolution of high-risk layout issues to ensure overall safety and stability.

[0066] S500: Based on the abnormal feature information of the equipment layout, perform global optimization analysis on the initial engineering equipment layout model to determine the equipment layout scheme for power transmission and transformation projects.

[0067] Furthermore, this application S500 includes:

[0068] Based on the abnormal feature information of the equipment layout, the initial engineering equipment layout model is globally optimized and analyzed to obtain the equipment layout scheme parameter optimization threshold; according to the equipment layout scheme parameter optimization threshold, the equipment layout scheme population is initialized; the power transmission and transformation engineering layout simulation module is used to perform optimization integration and output within the equipment layout scheme population to determine the power transmission and transformation engineering equipment layout scheme.

[0069] The power transmission and transformation project layout simulation module is used to randomly select and evaluate multiple layout schemes within the equipment layout scheme population to obtain simulation effects of multiple layout schemes. The equipment layout scheme population is then expanded by cross-mutation according to the simulation effects of the multiple layout schemes to obtain an updated equipment layout scheme population. Global iterative optimization is performed within the updated equipment layout scheme population until a preset termination condition is met to determine the equipment layout scheme of the power transmission and transformation project.

[0070] Specifically, based on the abnormal feature information of the equipment layout, a global optimization analysis is performed on the initial engineering equipment layout model. After considering all abnormal feature information, a global optimization method (such as genetic algorithm, particle swarm optimization, etc.) is used to comprehensively optimize the equipment layout to ensure that the layout parameters of all equipment can reach the optimal state while meeting the constraints. The abnormal feature information of the equipment layout includes all abnormal issues that may affect the equipment layout. Based on this, global optimization can be performed to make targeted adjustments to the layout, ensuring that the final layout scheme meets the design standards.

[0071] Based on the results of the global optimization analysis, the optimization thresholds for each parameter of the equipment layout scheme are determined. The optimization threshold refers to the parameter range or constraint of the equipment layout scheme; all schemes must be adjusted within these threshold ranges. For example, the optimization threshold for equipment spacing might be 5 to 10 meters, and the optimization threshold for load distribution might be 80% to 100%, etc.

[0072] Based on the optimization threshold of the equipment layout scheme parameters, an initial equipment layout scheme population is generated, which constitutes a series of equipment layout schemes. Each layout scheme in the population is a possible configuration of equipment layout, including parameters such as a certain number of devices, device spacing, and load distribution, and meets the requirements of the optimization threshold.

[0073] Using a power transmission and transformation engineering layout simulation module, each layout scheme in the population is simulated and evaluated to assess its effectiveness in actual engineering projects, evaluating the feasibility and performance of each scheme. Based on the simulation results, each layout scheme is optimized and adjusted, ultimately outputting an optimal layout scheme. The optimized integrated output refers to the process of continuous adjustment and iteration during optimization, ultimately outputting a comprehensively optimized equipment layout scheme. This output result has undergone multiple simulations and evaluations and meets all design requirements and performance indicators.

[0074] Specifically, a layout scheme is randomly selected from a pool of possible schemes and input into the power transmission and transformation engineering layout simulation module for simulation. This simulation assesses the equipment's functionality, inter-equipment coordination, load distribution, spatial layout, and safety, evaluating its operational effectiveness in a real-world project and yielding simulation results for multiple layout schemes. The purpose of random selection is to increase diversity during the optimization process and avoid getting trapped in local optima. Through random selection, more possible layout schemes can be explored.

[0075] Based on the simulation results of multiple layout schemes, the population of equipment layout schemes is expanded through cross-mutation to generate new layout schemes and increase the diversity of the equipment layout scheme population. Cross-mutation generates a new scheme by exchanging some parameters of two schemes; mutation, on the other hand, involves making small, random adjustments to certain parameters. The purpose of cross-mutation is to prevent the optimization process from stagnating at local optima and to expand the solution space. For example, two layout schemes are selected, and based on their simulation results, their equipment spacing and load distribution parameters are cross-mutated to obtain a new layout scheme, ensuring adjustments are made towards a more optimal direction; then, the two layout schemes are mutated to better align with the optimization objective.

[0076] Based on the expanded schemes through crossover and mutation, the equipment layout scheme population is updated to obtain an updated equipment layout scheme population. Global iterative optimization is performed within this updated population, searching for the optimal layout scheme through multiple iterations. Each iteration evaluates all layout schemes in the current population, selecting the best-performing schemes for crossover and mutation, forming a new population for the next round of optimization, until a preset termination condition (such as the number of iterations, an error threshold, etc.) is reached. The preset termination condition is a stopping condition set during the optimization process, determining when iteration stops, including a fixed number of iterations, achievement of the optimization objective, and an error less than a preset threshold. After multiple iterations and optimizations, an optimal equipment layout scheme is finally determined. This scheme meets design requirements in terms of equipment spacing, load distribution, and safety, and can achieve efficient, safe, and low-energy operation in actual engineering.

[0077] For example, assuming the device layout scheme population contains four layout schemes, after simulation of these four schemes, the simulation effect scores are: Scheme 1: 75, Scheme 2: 85, Scheme 3: 90, and Scheme 4: 70. Schemes 1 and 4, the two worst schemes, are then cross-pollinated and mutated to adjust the position of the distribution cabinet and the spacing between devices. After another simulation, the simulation effect scores are: Scheme 5: 81, Scheme 6: 80, Scheme 7: 93, and Scheme 8: 79. Through multiple rounds of iterative optimization, the layout scheme with the highest score is finally selected.

[0078] The power transmission and transformation project layout simulation module randomly selects, cross-mutates and expands the equipment layout scheme population, and iteratively optimizes it to improve the equipment layout design efficiency of power transmission and transformation projects, optimize the design scheme, and enhance the overall power system's safety and operating efficiency. The final optimal equipment layout scheme meets all design standards and performance requirements.

[0079] In summary, the equipment layout optimization method for power transmission and transformation engineering design provided in this application has the following advantages:

[0080] Beneficial effects:

[0081] By acquiring the design drawings and distribution characteristic data of the target power transmission and transformation project, the design drawings are divided into N power transmission and transformation project areas based on the distribution characteristic data. The power transmission and transformation project layout data space is then accessed through the smart grid, and an effect evaluation and fitting process is performed on the data space to construct a power transmission and transformation project layout simulation module. Using this simulation module, the equipment layout of the N power transmission and transformation project areas is optimized sequentially based on the data space, determining the equipment layout schemes for each of the N areas. Three-dimensional modeling is then performed based on these schemes to generate an initial equipment layout model. Anomalies are identified and marked on this initial model to obtain abnormal equipment layout feature information. Finally, a global optimization analysis is performed on the initial model based on this abnormal feature information to determine the final power transmission and transformation project equipment layout scheme. In other words, the entire project is divided into N different areas using design drawings and distribution characteristic data. The smart grid accesses the data space and constructs a simulation module that can simulate the actual layout effect. Equipment layout optimization is performed in each divided area to determine the layout scheme. After 3D modeling based on the layout scheme, the overall layout model is obtained. Potential problems in the model are identified and the layout is optimized to determine the final equipment layout scheme. This ensures that the layout not only meets the operation requirements of the smart grid but also facilitates subsequent maintenance, thereby improving the design efficiency and quality of power transmission and transformation projects.

[0082] Example 2: Based on the same inventive concept as the equipment layout optimization method in power transmission and transformation engineering design in Example 1, this application also provides an equipment layout optimization system for power transmission and transformation engineering design. Please refer to the appendix. Figure 2 The equipment layout optimization system in the power transmission and transformation project design includes:

[0083] The system comprises the following modules: a region division module 11, which acquires design drawings and distribution characteristic data of the target power transmission and transformation project, divides the design drawings into regions based on the distribution characteristic data, and obtains N power transmission and transformation project regions; a simulation construction module 12, which uses the smart grid to call the power transmission and transformation project layout data space, performs effect evaluation and fitting on the power transmission and transformation project layout data space, and constructs a power transmission and transformation project layout simulation module; a layout scheme optimization module 13, which uses the power transmission and transformation project layout simulation module to perform equipment layout optimization on the N power transmission and transformation project layout data space in sequence, and determines the equipment layout schemes for the N power transmission and transformation project regions; an anomaly identification and marking module 14, which performs 3D modeling based on the equipment layout schemes for the N power transmission and transformation project regions, generates an initial project equipment layout model, identifies and marks anomalies in the initial project equipment layout model, and obtains equipment layout anomaly characteristic information; and a global optimization analysis module 15, which performs global optimization analysis on the initial project equipment layout model based on the equipment layout anomaly characteristic information, and determines the power transmission and transformation project equipment layout scheme.

[0084] Furthermore, the area division module 11 in the equipment layout optimization system for power transmission and transformation engineering design is also used for:

[0085] Based on the distribution characteristic data, the design drawing information is mapped and labeled to obtain the power transmission and transformation project design distribution data; a set of engineering area division factors is obtained, which includes equipment function, terrain boundary, load density, and equipment safety level; the power transmission and transformation project design distribution data is parsed and identified according to the engineering area division factor set to obtain a set of power transmission and transformation project factor parameters; based on the set of power transmission and transformation project factor parameters, the design drawing information is divided into areas to obtain N power transmission and transformation project areas.

[0086] Furthermore, the area division module 11 in the equipment layout optimization system for power transmission and transformation engineering design is also used for:

[0087] Based on the accuracy requirements for the regional division of power transmission and transformation projects, a regional grid division density is set; the design drawing information is divided into regional grids according to the regional grid division density to obtain power transmission and transformation project grid regions; cluster analysis is performed on the power transmission and transformation project grid regions based on the power transmission and transformation project factor parameter set to obtain grid region clustering results; the boundary division of the design drawing information is adjusted based on the grid region clustering results to obtain the N power transmission and transformation project regions.

[0088] Furthermore, the simulation construction module 12 in the equipment layout optimization system for power transmission and transformation engineering design is also used for:

[0089] Based on the power transmission and transformation project layout data space, the characteristic data, equipment layout data, and corresponding layout effect data of the power transmission and transformation project are determined; a set of evaluation indicators for the layout effect of the power transmission and transformation project is constructed, and the influence degree of the evaluation indicators is assessed to determine the set of influence factors for the effect evaluation indicators; based on the set of influence factors for the effect evaluation indicators and the set of evaluation indicators for the layout effect of the power transmission and transformation project, the corresponding layout effect data is evaluated with weighted effect to obtain the equipment layout effect data; the simulation effect is fitted to the characteristic data, equipment layout data, and equipment layout effect data of the power transmission and transformation project to construct the simulation module for the layout of the power transmission and transformation project.

[0090] Furthermore, the simulation construction module 12 in the equipment layout optimization system for power transmission and transformation engineering design is also used for:

[0091] Based on the aforementioned power transmission and transformation project layout effect evaluation index set, correlation impact data mining is performed to obtain a power transmission and transformation project layout effect index dataset. The power transmission and transformation project layout effect index dataset is then forward standardized to obtain a standard power transmission and transformation project effect index dataset. Proportion value calculation and information entropy calculation are performed on the standard power transmission and transformation project effect index dataset to obtain a power transmission and transformation project effect index information entropy set. Based on the power transmission and transformation project effect index information entropy set, entropy weight calculation is performed on the power transmission and transformation project layout effect evaluation index set to determine the effect evaluation index influence factor set.

[0092] Furthermore, the layout optimization module 13 in the equipment layout optimization system for power transmission and transformation engineering design is also used for:

[0093] Based on the design distribution data of the N power transmission and transformation project areas, a traversal matching analysis is performed sequentially within the power transmission and transformation project layout data space to obtain N regional adaptable equipment layout schemes. The power transmission and transformation project layout simulation module is used to simulate and evaluate the N regional adaptable equipment layout schemes to obtain the simulation effects of the N regional layout schemes. Based on the simulation effects of the N regional layout schemes, the N regional adaptable equipment layout schemes are iteratively searched and optimized to determine the N power transmission and transformation area equipment layout schemes.

[0094] Furthermore, the anomaly identification and marking module 14 in the equipment layout optimization system for power transmission and transformation engineering design is also used for:

[0095] Based on the safety standards for power transmission and transformation engineering, rules for identifying equipment layout anomalies are determined. These rules include equipment distance constraints, equipment distribution constraints, and power operation constraints. Anomalies are detected in the initial engineering equipment layout model according to these rules to obtain a set of abnormal equipment layout locations. The abnormal equipment layout locations are then identified and scored to obtain an anomaly feature set. Finally, the anomaly feature set is fused into a list to obtain the equipment layout anomaly feature information.

[0096] Furthermore, the global optimization analysis module 15 in the equipment layout optimization system for power transmission and transformation engineering design is also used for:

[0097] Based on the abnormal feature information of the equipment layout, the initial engineering equipment layout model is globally optimized and analyzed to obtain the equipment layout scheme parameter optimization threshold; according to the equipment layout scheme parameter optimization threshold, the equipment layout scheme population is initialized; the power transmission and transformation engineering layout simulation module is used to perform optimization integration and output within the equipment layout scheme population to determine the power transmission and transformation engineering equipment layout scheme.

[0098] Furthermore, the global optimization analysis module 15 in the equipment layout optimization system for power transmission and transformation engineering design is also used for:

[0099] The power transmission and transformation project layout simulation module is used to randomly select and evaluate multiple layout schemes within the equipment layout scheme population to obtain simulation effects of multiple layout schemes. The equipment layout scheme population is then expanded by cross-mutation according to the simulation effects of the multiple layout schemes to obtain an updated equipment layout scheme population. Global iterative optimization is performed within the updated equipment layout scheme population until a preset termination condition is met to determine the equipment layout scheme of the power transmission and transformation project.

[0100] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Figure 1 The equipment layout optimization method and specific examples in the power transmission and transformation engineering design of Embodiment 1 are also applicable to the equipment layout optimization system in the power transmission and transformation engineering design of this embodiment. Through the foregoing detailed description of the equipment layout optimization method in the power transmission and transformation engineering design, those skilled in the art can clearly understand the equipment layout optimization system in the power transmission and transformation engineering design of this embodiment. Therefore, for the sake of brevity, it will not be described in detail here. As for the system disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant details can be found in the method section.

[0101] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0102] Obviously, those skilled in the art can make several improvements and modifications to this application without departing from the principles of this application, and these improvements and modifications also fall within the protection scope of this application.

Claims

1. A method for optimizing equipment layout in power transmission and transformation engineering design, characterized in that, The method comprises the following steps: Obtain the design drawing information and distribution characteristic data of the target power transmission and transformation project, and divide the design drawing information into N power transmission and transformation project regions based on the distribution characteristic data; Call the power transmission and transformation project layout data space through the smart grid, perform effect evaluation fitting on the power transmission and transformation project layout data space, and construct a power transmission and transformation project layout simulation module; Use the power transmission and transformation project layout simulation module to perform device layout optimization on the N power transmission and transformation project regions based on the power transmission and transformation project layout data space in sequence, and determine N power transmission and transformation region device layout schemes; Based on the N power transmission and transformation region device layout schemes, perform three-dimensional modeling to generate an initial engineering device layout model, perform abnormality identification marking on the initial engineering device layout model, and obtain device layout abnormality characteristic information; Based on the device layout abnormality characteristic information, perform global optimization analysis on the initial engineering device layout model to determine a power transmission and transformation project device layout scheme; The construction of the power transmission and transformation project layout simulation module comprises the following steps: Determine power transmission and transformation project characteristic data, device layout data, and corresponding layout effect data based on the power transmission and transformation project layout data space; Construct a power transmission and transformation project layout effect evaluation index set, perform influence degree evaluation on the power transmission and transformation project layout effect evaluation index set, and determine an effect evaluation index influence factor set; Based on the effect evaluation index influence factor set and the power transmission and transformation project layout effect evaluation index set, perform effect weighted evaluation on the corresponding layout effect data to obtain device layout effect data; Perform simulation effect fitting on the power transmission and transformation project characteristic data, device layout data, and device layout effect data to construct the power transmission and transformation project layout simulation module; The determination of the effect evaluation index influence factor set comprises the following steps: Perform correlation influence data mining on the power transmission and transformation project layout effect evaluation index set to obtain a power transmission and transformation project layout effect index data set; Perform positive standardization processing on the power transmission and transformation project layout effect index data set to obtain a standard power transmission and transformation project effect index data set; Perform scale value calculation and information entropy calculation on the standard power transmission and transformation project effect index data set to obtain a power transmission and transformation project effect index information entropy set; Based on the power transmission and transformation project effect index information entropy set, perform entropy weight calculation on the power transmission and transformation project layout effect evaluation index set to determine the effect evaluation index influence factor set.

2. The device layout optimization method in a power transmission project design according to claim 1, wherein, The obtaining of the N power transmission and transformation project regions comprises the following steps: Map and mark the design drawing information based on the distribution characteristic data to obtain power transmission and transformation project design distribution data; Obtain an engineering region division factor set, which comprises device function, terrain boundary, load density, and device safety level; Perform analysis and identification on the power transmission and transformation project design distribution data according to the engineering region division factor set to obtain a power transmission and transformation project factor parameter set; Divide the design drawing information into N power transmission and transformation project regions based on the power transmission and transformation project factor parameter set.

3. The method of claim 2, wherein, The obtaining of the N power transmission and transformation project regions comprises the following steps: According to the regional division accuracy requirement of the power transmission and transformation project, the regional grid division density is set; According to the regional grid division density, the design drawing information is regionally grid divided to obtain a power transmission and transformation project grid region; Based on the power transmission and transformation project factor parameter set, the power transmission and transformation project grid region is clustered and analyzed to obtain a grid region clustering result; Based on the grid region clustering result, the design drawing information is boundary division adjusted to obtain the N power transmission and transformation engineering regions.

4. The method of claim 1, wherein, The determination of the N power transmission and transformation region device layout scheme includes: Based on the design distribution data of the N power transmission and transformation engineering regions, traversal matching analysis is sequentially performed in the power transmission and transformation engineering layout data space to obtain N region adaptive device layout schemes; The power transmission and transformation engineering layout simulation module is used to simulate and evaluate the N region adaptive device layout schemes respectively to obtain N region layout scheme simulation effects; Based on the N region layout scheme simulation effects, the N region adaptive device layout schemes are iteratively searched and optimized to determine the N power transmission and transformation region device layout schemes.

5. The method of claim 1, wherein, The device layout abnormal feature information includes: According to the power transmission and transformation project application safety standard, a device layout abnormality identification rule is determined, and the device layout abnormality identification rule includes device distance constraints, device distribution constraints, and power operation constraints; According to the device layout abnormality identification rule, abnormality identification detection is performed on the initial engineering device layout model to obtain a device layout abnormal point set; The device layout abnormal point set is type-identified and abnormally scored to obtain an abnormal point feature set, and the abnormal point feature set is list fused to obtain the device layout abnormal feature information.

6. The method of claim 1, wherein, The determination of the power transmission and transformation engineering device layout scheme includes: Based on the device layout abnormal feature information, the initial engineering device layout model is globally optimized and analyzed to obtain a device layout scheme parameter optimization threshold value; According to the device layout scheme parameter optimization threshold value, a device layout scheme population is initialized; The power transmission and transformation engineering layout simulation module is used to perform optimization integrated output in the device layout scheme population to determine the power transmission and transformation engineering device layout scheme.

7. The method of claim 6, wherein, The determination of the power transmission and transformation engineering device layout scheme includes: The power transmission and transformation engineering layout simulation module is used to randomly select and evaluate in the device layout scheme population to obtain a plurality of layout scheme simulation effects; According to the plurality of layout scheme simulation effects, the device layout scheme population is crossed and mutated to expand to obtain a device layout scheme updated population; Global iterative optimization is performed in the device layout scheme updated population until a preset termination condition is met to determine the power transmission and transformation engineering device layout scheme.

8. A device layout optimization system in power transmission and transformation project design, characterized by implementing the steps of the device layout optimization method in power transmission and transformation project design in any one of claims 1 to 7, the device layout optimization system in power transmission and transformation project design includes: The area division module is configured to acquire design drawing information and distribution characteristic data of a target power transmission and transformation project, divide the design drawing information based on the distribution characteristic data, and obtain N power transmission and transformation project areas; The simulation construction module is configured to call a power transmission and transformation project layout data space through an intelligent power grid, perform effect evaluation fitting on the power transmission and transformation project layout data space, and construct a power transmission and transformation project layout simulation module; The layout scheme optimization module is configured to perform device layout optimization on the N power transmission and transformation project areas based on the power transmission and transformation project layout simulation module and the power transmission and transformation project layout data space in sequence, and determine N power transmission and transformation area device layout schemes; The abnormality identification and marking module is configured to perform three-dimensional modeling based on the N power transmission and transformation area device layout schemes, generate an initial engineering device layout model, perform abnormality identification and marking on the initial engineering device layout model, and obtain device layout abnormality characteristic information; The global optimization analysis module is configured to perform global optimization analysis on the initial engineering device layout model based on the device layout abnormality characteristic information, and determine a power transmission and transformation project device layout scheme.

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