Equipment layout optimization method and system in power transmission and transformation project design
By dividing the area and calling smart grid data in the power transmission and transformation engineering design, and building simulation modules to optimize the equipment layout, the problem of unreasonable equipment layout is solved, design efficiency and quality are improved, and the stability and efficient operation of the power system are ensured.
Patent Information
- Application Number
- CN202510498062.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-21
- Publication Date
- 2025-08-01
- Estimated Expiration
- 2045-04-21
AI Technical Summary
In the existing power transmission and transformation engineering design, there is unreasonable space utilization, and it is difficult to make detailed layouts based on specific needs and characteristics, resulting in low equipment layout efficiency and affecting power transmission efficiency and equipment stability.
By obtaining design drawing information and distribution characteristic data, the simulation module is built using the smart grid call data space, the equipment layout optimization and three-dimensional modeling are carried out, abnormal features are identified and globally optimized, and the equipment layout plan is determined.
It improves the design efficiency and quality of power transmission and transformation projects, ensures that the equipment layout meets the requirements of the smart grid, facilitates subsequent maintenance, and improves the operating efficiency and stability of the power system.
Smart Images

Figure CN120408915A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of smart grids, and particularly to a method and system for optimizing equipment layout in the design of power transmission and transformation projects. Background Art
[0002] With the increasing demand for electricity, traditional power transmission and transformation project designs are gradually facing many challenges, especially in equipment layout and space utilization. Currently, the design of power transmission and transformation projects usually relies on manual experience for layout, and the process of collecting design drawing information and regional division lacks automation, resulting in problems such as unreasonable space utilization, redundant configuration, and low layout efficiency in equipment layout. Even when using computer-aided design (CAD) software, these tools are mainly limited to the drawing of two-dimensional drawings and lack intelligent optimization functions, making it difficult to achieve automated and refined equipment layout in complex environments. The optimization of equipment layout directly affects the operation efficiency of power transmission and transformation projects. Especially in the smart grid architecture, unreasonable equipment layout may lead to low power transmission efficiency, energy waste, frequent equipment failures, thereby increasing operation and maintenance costs and reducing the stability and intelligence level of the power grid system.
[0003] In summary, there is a technical problem in the prior art that due to unreasonable space utilization, it is difficult to carry out refined layout according to specific requirements and characteristics, resulting in low equipment layout efficiency in power transmission and transformation projects. Summary of the Invention
[0004] The purpose of this application is to provide a method and system for optimizing equipment layout in the design of power transmission and transformation projects to solve the technical problem in the prior art that due to unreasonable space utilization, it is difficult to carry out refined layout according to specific requirements and characteristics, resulting in low equipment layout efficiency in power transmission and transformation projects.
[0005] In view of the above problems, this application provides a method and system for optimizing equipment layout in the design of power transmission and transformation projects.
[0006] In a first aspect, the present application provides a method for optimizing the equipment layout in the design of power transmission and transformation projects. The method for optimizing the equipment layout in the design of power transmission and transformation projects is implemented through a system for optimizing the equipment layout in the design of power transmission and transformation projects. Among them, the method for optimizing the equipment layout in the design of power transmission and transformation projects includes: obtaining the design drawing information and distribution characteristic data of the target power transmission and transformation project, dividing the design drawing information into regions based on the distribution characteristic data to obtain N power transmission and transformation project regions; calling the power transmission and transformation project layout data space through the smart grid, evaluating and fitting the effect of the power transmission and transformation project layout data space, and constructing a power transmission and transformation project layout simulation module; using the power transmission and transformation project layout simulation module to sequentially optimize the equipment layout of the N power transmission and transformation project regions based on the power transmission and transformation project layout data space to determine N equipment layout plans for the power transmission and transformation regions; performing three-dimensional modeling based on the N equipment layout plans for the power transmission and transformation regions to generate an initial engineering equipment layout model, and performing abnormal identification and marking on the initial engineering equipment layout model to obtain equipment layout abnormal characteristic information; performing global optimization analysis on the initial engineering equipment layout model based on the equipment layout abnormal characteristic information to determine the equipment layout plan for the power transmission and transformation project.
[0007] Optionally, map and label the design drawing information based on the distribution characteristic data to obtain power transmission and transformation project design distribution data; obtain an engineering area division factor set, where the engineering area division factor set includes equipment function, terrain boundary, load density, and equipment safety level; parse and identify the power transmission and transformation project design distribution data according to the engineering area division factor set to obtain a power transmission and transformation project factor parameter set; divide the design drawing information into regions based on the power transmission and transformation project factor parameter set to obtain N power transmission and transformation project regions.
[0008] Optionally, set the regional grid division density according to the accuracy requirement of the power transmission and transformation project area division; perform regional grid division on the design drawing information according to the regional grid division density to obtain power transmission and transformation project grid regions; perform clustering analysis on the power transmission and transformation project grid regions based on the power transmission and transformation project factor parameter set to obtain a grid region clustering result; adjust the boundary division of the design drawing information based on the grid region clustering result to obtain the N power transmission and transformation project regions.
[0009] Optionally, according to the transmission and transformation project layout data space, determine the transmission and transformation project characteristic data, equipment layout data, and corresponding layout effect data; construct an evaluation index set for the transmission and transformation project layout effect, evaluate the influence degree of the evaluation index set for the transmission and transformation project layout effect, and determine the effect evaluation index influence factor set; based on the effect evaluation index influence factor set and the evaluation index set for the transmission and transformation project layout effect, perform effect weighted evaluation on the corresponding layout effect data to obtain equipment layout effect data; perform simulation effect fitting on the transmission and transformation project characteristic data, equipment layout data, and the equipment layout effect data, and construct the transmission and transformation project layout simulation module.
[0010] Optionally, perform associated influence data mining based on the evaluation index set for the transmission and transformation project layout effect to obtain a data set of the transmission and transformation project layout effect indicators; perform positive normalization processing on the data set of the transmission and transformation project layout effect indicators to obtain a standard data set of the transmission and transformation project effect indicators; perform ratio value calculation and information entropy calculation on the standard data set of the transmission and transformation project effect indicators to obtain an information entropy set of the transmission and transformation project effect indicators; based on the information entropy set of the transmission and transformation project effect indicators, perform entropy weight calculation on the evaluation index set for the transmission and transformation project layout effect to determine the effect evaluation index influence factor set.
[0011] Optionally, based on the design distribution data of the N transmission and transformation project areas, perform traversal matching analysis in the transmission and transformation project layout data space in sequence to obtain N area-adapted equipment layout schemes; use the transmission and transformation project layout simulation module to perform simulation evaluation on the N area-adapted equipment layout schemes respectively to obtain the simulation effects of the N area layout schemes; perform iterative search and optimization on the N area-adapted equipment layout schemes based on the simulation effects of the N area layout schemes to determine N transmission and transformation area equipment layout schemes.
[0012] Optionally, according to the application safety standard of the transmission and transformation project, determine the equipment layout anomaly identification rules, where the equipment layout anomaly identification rules include equipment distance constraints, equipment distribution constraints, and power operation constraints; perform anomaly identification and detection on the initial engineering equipment layout model according to the equipment layout anomaly identification rules to obtain a set of equipment layout anomaly points; perform type identification and anomaly scoring on the set of equipment layout anomaly points to obtain a set of anomaly point features, and perform list fusion on the set of anomaly point features to obtain the equipment layout anomaly feature information.
[0013] Optionally, based on the device layout anomaly feature information, perform global optimization analysis on the initial engineering device layout model to obtain the optimization threshold of the device layout scheme parameters; according to the optimization threshold of the device layout scheme parameters, initialize the population of device layout schemes; use the power transmission and transformation project layout simulation module to perform optimization integration output within the population of device layout schemes to determine the device layout scheme of the power transmission and transformation project.
[0014] Optionally, use the power transmission and transformation project layout simulation module to perform random selection and evaluation within the population of device layout schemes to obtain the simulation effects of multiple layout schemes; expand the population of device layout schemes through crossover and mutation according to the simulation effects of the multiple layout schemes to obtain an updated population of device layout schemes; perform global iterative optimization within the updated population of device layout schemes until a preset termination condition is reached to determine the device layout scheme of the power transmission and transformation project.
[0015] In a second aspect, the present application also provides a device layout optimization system in the design of a power transmission and transformation project, which is used to execute the device layout optimization method in the design of a power transmission and transformation project as described in the first aspect. Among them, the device layout optimization system in the design of a power transmission and transformation project includes: a region division module, which is used to obtain the design drawing information and distribution characteristic data of the target power transmission and transformation project, and perform region division on the design drawing information based on the distribution characteristic data to obtain N power transmission and transformation project regions; a simulation construction module, which is used to call the power transmission and transformation project layout data space through the smart grid, evaluate and fit the power transmission and transformation project layout data space, and construct a power transmission and transformation project layout simulation module; a layout scheme optimization module, which is used to use the power transmission and transformation project layout simulation module based on the power transmission and transformation project layout data space to perform device layout optimization on the N power transmission and transformation project regions in sequence to determine the device layout schemes of the N power transmission and transformation regions; an anomaly identification and marking module, which is used to perform three-dimensional modeling based on the device layout schemes of the N power transmission and transformation regions to generate an initial engineering device layout model, and perform anomaly identification and marking on the initial engineering device layout model to obtain device layout anomaly feature information; a global optimization analysis module, which is used to perform global optimization analysis on the initial engineering device layout model based on the device layout anomaly feature information to determine the device layout scheme of the power transmission and transformation project.
[0016] One or more technical solutions provided in the present application have at least the following beneficial effects:
[0017] By obtaining the design drawing information and distribution characteristic data of the target power transmission and transformation project, dividing the design drawing information into regions based on the distribution characteristic data to obtain N power transmission and transformation project regions; by the smart grid calling the power transmission and transformation project layout data space, evaluating and fitting the effect of the power transmission and transformation project layout data space to construct a power transmission and transformation project layout simulation module; using the power transmission and transformation project layout simulation module based on the power transmission and transformation project layout data space, sequentially optimizing the equipment layout of the N power transmission and transformation project regions to determine N equipment layout schemes for the power transmission and transformation regions; performing three-dimensional modeling based on the N equipment layout schemes for the power transmission and transformation regions to generate an initial engineering equipment layout model, and performing abnormal identification and marking on the initial engineering equipment layout model to obtain equipment layout abnormal characteristic information; performing global optimization analysis on the initial engineering equipment layout model based on the equipment layout abnormal characteristic information to determine the power transmission and transformation project equipment layout scheme. That is to say, the entire project is divided into N different regions through the design drawing information and distribution characteristic data, the data space is called by the smart grid, and a simulation module capable of simulating the actual layout effect is constructed. The equipment layout of each divided region is optimized to determine the layout scheme. After three-dimensional modeling according to 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, ensuring that it not only meets the operation requirements of the smart grid, but also is convenient for subsequent maintenance, improving the design efficiency and quality of the power transmission and transformation project.
[0018] The above description is only an overview of the technical solution of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the following specifically gives the specific implementation manners of the present application. It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] In order to more clearly illustrate the technical solutions in the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings described below are only exemplary, and for those of ordinary skill in the art, other drawings can be obtained according to the provided drawings without creative efforts.
[0020] Figure 1 It is a flowchart of the equipment layout optimization method in the power transmission and transformation project design of the present application;
[0021] Figure 2 It is a structural diagram of the equipment layout optimization system in the power transmission and transformation project design of the present application.
[0022] Description of reference numerals: 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 manners
[0023] This application provides a method and system for optimizing the equipment layout in the design of power transmission and transformation projects, which solves the technical problem in the prior art that due to unreasonable space utilization and difficulty in making refined layouts according to specific requirements and characteristics, the equipment layout efficiency of power transmission and transformation projects is low. The whole project is divided into N different regions based on the design drawing information and distribution characteristic data. The data space is called through the smart grid, and a simulation module that can simulate the actual layout effect is constructed. The equipment layout of each divided region is optimized to determine the layout scheme. After three-dimensional modeling according to the layout scheme, an overall layout model is obtained. The potential problems in the model are identified to optimize the layout, and the final equipment layout scheme is determined to ensure that it not only meets the operation requirements of the smart grid but also is convenient for subsequent maintenance, improving the design efficiency and quality of power transmission and transformation projects.
[0024] Next, the technical solutions in this application will be described clearly and completely with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this application, rather than all the embodiments of this application. It should be understood that this application is not limited by the exemplary embodiments described here. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of this application without creative efforts belong to the scope of protection of this application. Additionally, it should be noted that for the sake of description, only the parts related to this application are shown in the accompanying drawings rather than all of them.
[0025] Embodiment 1. Please refer to the attached Figure 1 , this application provides a method for optimizing the equipment layout in the design of power transmission and transformation projects. Among them, the method for optimizing the equipment layout in the design of power transmission and transformation projects is executed by a system for optimizing the equipment layout in the design of power transmission and transformation projects. The method for optimizing the equipment layout in the design of power transmission and transformation projects specifically includes the following steps:
[0026] S100: Obtain the design drawing information and distribution characteristic data of the target power transmission and transformation project, and based on the distribution characteristic data, divide the design drawing information into regions to obtain N power transmission and transformation project regions.
[0027] Furthermore, S100 of this application includes:
[0028] Based on the distribution characteristic data, map and label the design drawing information to obtain the transmission and transformation project design distribution data; obtain the engineering area division factor set, where the engineering area division factor set includes equipment function, terrain boundary, load density, and equipment safety level; according to the engineering area division factor set, analyze and identify the transmission and transformation project design distribution data to obtain the transmission and transformation project factor parameter set; based on the transmission and transformation project factor parameter set, divide the design drawing information into regions to obtain N transmission and transformation project regions.
[0029] Specifically, obtain the design drawing information of the target transmission and transformation project, that is, the drawing that describes the overall layout, equipment installation location, wiring path, key nodes, etc. of the transmission and transformation project, which contains all equipment layouts, design specifications, electrical connections, etc. of the substation, and is usually made using design tools such as CAD. The design drawings of the transmission and transformation project may include the locations of equipment such as transformers, circuit breakers, grounding systems, cable channels, control rooms, etc., as well as the distribution of current and voltage. The distribution characteristic data is the data information that describes the spatial, functional, load and other characteristics of each equipment in the design drawing, which describes the distribution, functional requirements and operating conditions of these equipment in the physical space, such as the location, capacity, type of the equipment, etc. Based on this, the distance between equipment, power demand, operating environment, etc. can be determined.
[0030] According to the distribution characteristic data, map and label the design drawing information, associate the distribution characteristic data with the corresponding positions in the design drawing, and map these data onto the drawing through a mapping and labeling tool (such as GIS software). For example, label the rated power of the transformer or the safety level of the circuit breaker on the design drawing to ensure that there is a clear correspondence between the functional characteristics and positions of each equipment, forming a standardized design drawing.
[0031] Obtain the engineering area division factor set, that is, the key factor set for dividing the transmission and transformation project area, and determine how to divide the entire transmission and transformation project area in the design drawing into multiple functional areas or sub-areas according to specific requirements, including equipment function, terrain boundary, load density, equipment safety level, etc. According to the equipment function, the roles or functions of different equipment can be determined. For example, equipment such as transformers, circuit breakers, and switches undertake different tasks; according to the terrain boundary, the impact of the natural environment and land use on the power grid layout can be determined; according to the load density, the power demand per unit area within the region can be determined; according to the equipment safety level, the safety guarantee required for the equipment can be determined.
[0032] According to the factor set of project area division, the design distribution data of the power transmission and transformation project is parsed and identified to identify the key parameters therein and perform identification, including information such as the function, type, load, etc. of each device within the area. Parsing and identification is to apply the factor set of project area division (such as load density, device function, etc.) to the design distribution data to identify and classify each device and the area where it is located. That is, according to the factor set of project area division, the area where each device is located is parsed to identify parameters such as the device function, load demand, safety level, etc. of each area. After analysis according to the factor set of project area division, a factor parameter set of the power transmission and transformation project is obtained, including detailed information such as the electrical equipment configuration, function, load demand, etc. of each area.
[0033] According to the factor parameter set of the power transmission and transformation project, the entire power transmission and transformation project area on the design drawing is divided to obtain N power transmission and transformation project areas, where N represents the number of divided areas and is a positive integer. Here, mainly based on the design drawing and distribution characteristic data, combined with factors such as device function, terrain, load density, and safety level, the area is divided. Each area has its own characteristics in terms of function, device requirements, load density, etc., and can be configured and optimized for equipment targeted. Through area division and load density analysis, the most suitable equipment can be configured in different areas, thereby improving the overall stability and operation efficiency.
[0034] Furthermore, the present application further includes the following steps:
[0035] According to the precision requirement of the power transmission and transformation project area division, set the area grid division density; perform area grid division on the design drawing information according to the area grid division density to obtain the power transmission and transformation project grid area; perform clustering analysis on the power transmission and transformation project grid area based on the factor parameter set of the power transmission and transformation project to obtain the grid area clustering result; perform boundary division adjustment on the design drawing information based on the grid area clustering result to obtain the N power transmission and transformation project areas.
[0036] Specifically, according to the precision requirement of the power transmission and transformation project area division, that is, the requirement for the degree of detail of the power transmission and transformation project area division, set the density of grid division. The higher the grid division density, the more detailed the area division, and the equipment and load information within each area can more accurately reflect the actual situation. If the precision requirement is low, the grid division density can be set low. For example, if the project complexity is high and the load demand within the area is high, usually a higher grid division density is adopted to set a smaller grid size, such as a 10-meter × 10-meter grid.
[0037] The entire design drawing is meshed according to the regional grid division density to obtain the grid area of the power transmission and transformation project, that is, the small areas obtained through regional grid division. For the grid area of the power transmission and transformation project on the design drawing, the grid areas are divided into different categories through clustering analysis algorithms (such as K-means clustering, DBSCAN, etc.), and the areas with similar characteristics are grouped together. That is to say, according to equipment functions, terrain boundaries, load density, equipment safety levels, etc., clustering analysis is performed on the grid areas, and they are grouped according to the similarity of the parameter sets.
[0038] According to the results of the clustering analysis, that is, the clustering results of the grid areas, the boundary division of the design drawing information is adjusted, the equipment and functions of the same type of areas are merged, and the area size and layout are optimized according to load density, safety requirements, etc. For example, after clustering analysis, a certain area has a high load density and its equipment functions are relatively complex. It may be necessary to expand the division boundary of this area and arrange more redundant equipment in this area. For areas with low load density, the boundary of this area may be reduced and redundant equipment may be reduced.
[0039] Through grid division and clustering analysis, N optimized power transmission and transformation project areas are obtained. Each area is optimized and adjusted according to factors such as its functional requirements, load density, and safety level to improve the efficiency and reliability of the overall layout. Through detailed grid division and clustering analysis, the specific requirements of each area are accurately reflected. Within each area, equipment can be reasonably configured according to factors such as load density and safety requirements, avoiding unnecessary redundant configurations and improving the utilization efficiency of resources.
[0040] S200: Invoke the layout data space of the power transmission and transformation project through the smart grid, perform effect evaluation fitting on the layout data space of the power transmission and transformation project, and construct a layout simulation module for the power transmission and transformation project.
[0041] Furthermore, S200 of this application includes:
[0042] According to the layout data space of the power transmission and transformation project, determine the characteristic data of the power transmission and transformation project, equipment layout data, and corresponding layout effect data; construct an evaluation index set for the layout effect of the power transmission and transformation project, perform an impact degree evaluation on the evaluation index set for the layout effect of the power transmission and transformation project, and determine an impact factor set for the evaluation index; based on the impact factor set for the evaluation index and the evaluation index set for the layout effect of the power transmission and transformation project, perform effect weighted evaluation on the corresponding layout effect data to obtain equipment layout effect data; perform simulation effect fitting on the characteristic data of the power transmission and transformation project, equipment layout data, and the equipment layout effect data, and construct the layout simulation module for the power transmission and transformation project.
[0043] Furthermore, this application also includes the following steps:
[0044] Perform association impact data mining based on the above-mentioned evaluation index set for the layout effect of the power transmission and transformation project to obtain a data set of layout effect indexes for the power transmission and transformation project; perform positive normalization processing on the data set of layout effect indexes for the power transmission and transformation project to obtain a standard data set of layout effect indexes for the power transmission and transformation project; perform ratio value calculation and information entropy calculation on the standard data set of layout effect indexes for the power transmission and transformation project to obtain an information entropy set of layout effect indexes for the power transmission and transformation project; perform entropy weight calculation on the evaluation index set for the layout effect of the power transmission and transformation project based on the information entropy set of layout effect indexes for the power transmission and transformation project to determine the impact factor set of the evaluation indexes for the effect.
[0045] Specifically, call the data space of the layout of the power transmission and transformation project through the smart grid to obtain all information related to the power transmission and transformation project, including equipment layout, functional requirements, load requirements, regional characteristics, etc. The data space of the layout of the power transmission and transformation project contains all design information, equipment layout, functional requirements, load information, etc. in the power transmission and transformation project. According to the data space of the layout of the power transmission and transformation project, determine the characteristic data of the power transmission and transformation project, equipment layout data, and corresponding layout effect data. Among them, the characteristic data is the data describing the basic characteristics of the power transmission and transformation project, such as voltage level, capacity, line length, etc.; the equipment layout data includes equipment location, quantity, type, connection method, etc.; the layout effect data includes actual effect data such as load distribution, equipment interval, and safety.
[0046] Define a series of evaluation indexes according to the requirements and actual working conditions of the power transmission and transformation project to measure the equipment layout effect, that is, the evaluation index set for the layout effect of the power transmission and transformation project. Evaluate the influence degree of the evaluation index set for the layout effect of the power transmission and transformation project to identify the key factors affecting the layout effect.
[0047] First, perform association impact data mining on the evaluation index set for the layout effect of the power transmission and transformation project, analyze the relationships between various factors (such as equipment layout, load density, safety, etc.) in the design of the power transmission and transformation project, and extract the factors that have a significant impact on the layout effect. Conduct a correlation analysis on various factors in the design of the power transmission and transformation project, mine the correlations between factors, and obtain a data set of layout effect indexes for the power transmission and transformation project. Association impact data mining is a method of analyzing the correlations between different variables through data mining technology. By mining the relationships between equipment layout and other design factors, identify which factors have an important impact on the layout effect.
[0048] Perform positive normalization processing on the data set of layout effect indexes for the power transmission and transformation project, and standardize the data to a unified range (such as 0 to 1) to eliminate the influence of dimensional differences during calculation. Positive normalization processing is a data preprocessing method, usually used to process data with different dimensions. Positive normalization is to convert the values of each data according to certain rules into the same range (usually between 0 and 1) to eliminate the influence of dimensions on comparison.
[0049] Calculate the proportional values for the standard power transmission and transformation project effectiveness index dataset, process different evaluation indicators according to relative proportions. Usually, compare the data of each indicator with other data to calculate its relative proportion, and determine which indicators have a greater impact on the whole and which have a smaller impact. For each indicator, calculate the proportional value through the proportional relationship between its standardized value and the standardized values of other indicators. Based on the proportional values, calculate the information entropy of each evaluation indicator to measure its contribution to the overall layout optimization. The calculation of information entropy can reveal which indicators have a greater impact on the system and which have a smaller impact. Information entropy calculation is a measure to evaluate the uncertainty or amount of information, and to assess the information contribution of each evaluation indicator in the equipment layout. After completing the calculation of proportional values and information entropy, obtain the information entropy value set (i.e., information entropy set) of each evaluation indicator, which reflects the contribution and influence of each indicator.
[0050] According to the information entropy value of each indicator, calculate its weight to obtain the influence factor set of evaluation indicators. Entropy weight calculation is to calculate the information entropy of each indicator to obtain the weight of each evaluation indicator. A larger weight indicates a greater impact on the layout effect. Through data mining and standardization processing, accurately identify the key factors affecting the layout effect. Through information entropy calculation and entropy weight calculation, the influence of each evaluation indicator can be quantified, ensuring that the optimization process focuses on the most critical indicators, avoiding over-reliance on unimportant factors, discovering potential problems and making adjustments in the early stage, thereby improving the overall efficiency and stability of the equipment layout and reducing the later maintenance cost.
[0051] According to the influence factor set of the effectiveness evaluation indicators and the evaluation indicator set of the power transmission and transformation project layout effect, conduct weighted evaluation on the corresponding layout effect data to obtain the score of this layout effect. Multiply the score of each evaluation indicator by its corresponding influence factor, and then calculate the weighted average value to form a comprehensive layout effect score. According to the characteristic data of the power transmission and transformation project, equipment layout data and equipment layout effect data, conduct simulation effect fitting to construct a power transmission and transformation project layout simulation module, which is used to simulate and evaluate the effects of different layout schemes, so as to determine the deficiencies of the schemes and conduct targeted optimization. Through the analysis and simulation fitting of the power transmission and transformation project layout data space, the effects of different layout schemes can be evaluated to ensure that the finally selected scheme can maximize the system operation efficiency, reduce energy consumption, improve safety and optimize space utilization.
[0052] S300: Use the power transmission and transformation project layout simulation module based on the power transmission and transformation project layout data space to sequentially optimize the equipment layout for the N power transmission and transformation project areas, and determine the equipment layout schemes for the N power transmission and transformation areas.
[0053] Furthermore, S300 of this application includes:
[0054] Based on the design distribution data of the N power transmission and transformation project areas, traversing and matching analysis is sequentially carried out in the power transmission and transformation project layout data space to obtain N area-adapted equipment layout schemes; the power transmission and transformation project layout simulation module is used to respectively carry out simulation evaluation on the N area-adapted equipment layout schemes to obtain the simulation effects of the N area layout schemes; based on the simulation effects of the N area layout schemes, iterative search and optimization are carried out on the N area-adapted equipment layout schemes to determine the power transmission and transformation area equipment layout schemes for the N areas.
[0055] Specifically, according to the design distribution data of the N power transmission and transformation project areas, that is, the equipment layout scheme and its spatial distribution of each area, which cover information such as equipment type, location, and function allocation of each area. According to the design distribution data, traversing the power transmission and transformation project layout data space, the area-adapted equipment layout schemes corresponding to each area are matched, that is, the N area-adapted equipment layout schemes. Each adapted equipment layout scheme is a scheme suitable for the current area in the power transmission and transformation project layout data space, and multiple equipment layout schemes may be matched for each area.
[0056] The N area-adapted equipment layout schemes are respectively input into the power transmission and transformation project layout simulation module for simulation evaluation to determine the actual effects of these schemes. Based on the simulation effects of the N area layout schemes, iterative search and optimization are carried out on the N area-adapted equipment layout schemes, that is, the scheme with the best overall effect among all the schemes is found, and the power transmission and transformation area equipment layout schemes for the N areas are determined. These schemes are the best equipment layout schemes for the current area after simulation verification. By quickly screening out multiple reasonable layout schemes through traversing and matching analysis, and through simulation evaluation and iterative optimization, the finally obtained equipment layout scheme can ensure the efficiency and safety of the power transmission and transformation project during actual operation, and ensure the obtainment of an efficient, stable and safe power transmission and transformation project layout scheme.
[0057] S400: Based on the power transmission and transformation area equipment layout schemes for the N areas, three-dimensional modeling is carried out to generate an initial engineering equipment layout model, and abnormal identification and marking are carried out on the initial engineering equipment layout model to obtain equipment layout abnormal feature information.
[0058] Furthermore, S400 of this application includes:
[0059] According to the application safety standards for power transmission and transformation projects, determine the abnormal identification rules for equipment layout. The abnormal identification rules for equipment layout include equipment distance constraints, equipment distribution constraints, and power operation constraints. Perform abnormal identification and detection on the initial engineering equipment layout model according to the abnormal identification rules for equipment layout to obtain a set of abnormal points for equipment layout. Perform type identification and abnormal scoring on the set of abnormal points for equipment layout to obtain a set of abnormal point features, and fuse the set of abnormal point features into a list to obtain the abnormal feature information for equipment layout.
[0060] Specifically, according to the equipment layout plans of N power transmission and transformation project areas in N power transmission and transformation areas, determine the equipment positions, equipment spacing, load requirements, safety standards, etc. in each area. Input the equipment layout plans of the N areas into 3D modeling software to accurately display the equipment positions, sizes, and relationships between equipment in 3D space. Each equipment is placed according to the requirements of the layout plan in terms of position and size to form a complete 3D model. The initial engineering equipment layout model is the equipment layout model generated for the entire power transmission and transformation project area through 3D modeling technology, which shows the specific positions, spacings, installation directions, etc. of all equipment in the entire area.
[0061] Obtain the application safety standards for power transmission and transformation projects, that is, the safety specifications and standards that guide the design, construction, and operation processes of power transmission and transformation projects, to ensure that power equipment and the power grid meet the requirements in terms of safety, stability, reliability, etc. during operation. According to the safety standards of power transmission and transformation projects, set the abnormal identification rules for equipment layout, covering the safety distance between equipment (equipment distance constraints), the rationality of equipment distribution (equipment distribution constraints), and the load requirements and operation restrictions of the power system (power operation constraints). The abnormal identification rules for equipment layout are the standards and conditions used to judge whether the equipment layout meets the design requirements, and help to discover potential safety hazards or unreasonable layout situations.
[0062] According to the abnormal identification rules for equipment layout, perform abnormal identification and detection on the initial engineering equipment layout model to find all places that do not meet the safety standards. For example, input the positions and types of all equipment in the power transmission and transformation project area into a computer simulation system. According to the abnormal identification rules for equipment layout, it is judged that the spacing between some transformers and distribution equipment is less than the specified value, and these will be marked as abnormal points. The set of abnormal points for equipment layout is the position set of all detected abnormal points in the initial equipment layout model, and these points represent the problems or non-compliant places in the layout, such as too close equipment distance, unreasonable distribution, etc.
[0063] Identify the types of abnormal points in the equipment layout set to determine the specific abnormality here, such as abnormal equipment distance, abnormal equipment distribution, abnormal power operation, etc. Each point will be classified according to its location area, equipment type, and its relationship with other equipment. The types of abnormalities can be identified based on preset design rules, such as equipment spacing requirements, load-bearing limits, safety regulations, etc. Score each abnormal point according to the type and severity of each abnormal point, usually determined by the impact of the abnormality on equipment safety, performance, maintenance, etc. For example, an abnormality with insufficient spacing may pose a greater safety hazard to the equipment, so the score is higher; while an abnormality with a slightly overloaded load has a lower score.
[0064] The abnormal point feature set refers to the set of all key information describing the abnormal point, including the type of abnormality, severity of abnormality, scope of influence, recommended improvement measures, etc. For example, the feature set of an identified abnormal point includes: type of abnormality: insufficient equipment spacing, severity: high, abnormal impact: will cause adjacent equipment to malfunction, recommendation: increase the equipment spacing to 5m. Perform list fusion on the abnormal point feature sets, merge the abnormal point feature information from multiple sources into a comprehensive list, and comprehensively evaluate the features of all abnormal points. After multiple abnormal points (such as insufficient equipment spacing, overload, etc.) undergo type identification and scoring, their respective feature sets will be collected into a list, and the features of all abnormal points will be merged according to certain rules, such as sorting by type, severity, etc.
[0065] By determining the rules for identifying equipment layout abnormalities according to safety standards, automatically identify the abnormal points in the layout model, perform scoring and feature information fusion, timely discover problems that may lead to equipment failures, overloads, or safety hazards, and prioritize solving high-risk layout problems to ensure overall safety and stability.
[0066] S500: Based on the equipment layout abnormal feature information, perform global optimization analysis on the initial engineering equipment layout model to determine the equipment layout plan for the power transmission and transformation project.
[0067] Furthermore, S500 of this application includes:
[0068] Perform global optimization analysis on the initial engineering equipment layout model based on the equipment layout abnormal feature information to obtain the optimization threshold of the equipment layout plan parameters; according to the optimization threshold of the equipment layout plan parameters, initialize the population of the equipment layout plan; use the power transmission and transformation project layout simulation module to perform optimization integration output within the population of the equipment layout plan to determine the equipment layout plan for the power transmission and transformation project.
[0069] Randomly select and evaluate within the population of equipment layout plans using the power transmission and transformation project layout simulation module to obtain the simulation effects of multiple layout plans; expand the population of equipment layout plans through crossover and mutation according to the simulation effects of the multiple layout plans to obtain an updated population of equipment layout plans; perform global iterative optimization within the updated population of equipment layout plans until a preset termination condition is reached to determine the equipment layout plan for the power transmission and transformation project.
[0070] Specifically, based on the abnormal feature information of equipment layout, perform global optimization analysis on the initial engineering equipment layout model. After considering all abnormal feature information, through a global optimization method (such as genetic algorithm, particle swarm optimization, etc.), comprehensively optimize the equipment layout to ensure that the layout parameters of all equipment can reach the best state while meeting the constraint conditions. The abnormal feature information of equipment layout includes all abnormal problems that may affect equipment layout. Global optimization based on this can adjust the layout targeted to ensure that the final layout plan meets the design standards.
[0071] According to the results of global optimization analysis, determine the optimization thresholds for each parameter of the equipment layout plan. The optimization threshold refers to the parameter range or constraint conditions of the equipment layout plan, and all plans must be adjusted within these threshold ranges. For example, the optimization threshold for equipment spacing may be from 5 meters to 10 meters, and the optimization threshold for load distribution may be from 80% to 100%, etc.
[0072] Initialize the population of equipment layout plans according to the optimization thresholds of the equipment layout plan parameters, that is, generate a series of equipment layout plans to form the initialized population of equipment layout plans. Each layout plan in the population is a possible configuration of equipment layout, including a certain number of equipment, equipment spacing, load distribution, etc. parameters, and meets the requirements of the optimization thresholds.
[0073] Use the power transmission and transformation project layout simulation module to perform simulation evaluation on each plan in the population of equipment layout plans, simulate the effects of different layout plans in the actual project, and evaluate the feasibility and performance of each plan. Optimize and adjust each layout plan according to the simulation results, and finally output an optimal layout plan. The integrated output of optimization refers to that in the optimization process, through continuous adjustment and iteration, finally output a comprehensively optimized equipment layout plan. This output result has undergone multiple simulations and evaluations and can meet all design requirements and performance indicators.
[0074] Specifically, a solution is randomly selected from the population of equipment layout solutions and input into the substation and transmission line project layout simulation module for simulation. The functions of the equipment, their coordination with each other, load distribution, spatial layout, safety, etc. are simulated to evaluate the operation effect in the actual project, and the simulation effects of multiple layout solutions are obtained. The purpose of random selection is to increase diversity during the optimization process and avoid falling into local optimal solutions. Through random selection, more possible layout solutions can be explored.
[0075] Based on the simulation effects of multiple layout solutions, the population of equipment layout solutions is expanded through crossover and mutation to generate new layout solutions, thereby increasing the diversity of the population of equipment layout solutions. The crossover operation generates new solutions by exchanging some parameters of two solutions; the mutation operation is to make small random adjustments to certain parameters. The purpose of crossover and mutation is to prevent the optimization process from stagnating at local optimal solutions and to expand the solution space. For example, two layout solutions are selected, and according to the simulation effects of the solutions, their equipment spacing and load distribution parameters are crossed to obtain a new layout solution, ensuring adjustment in a more optimal direction; then, the two layout solutions are mutated to make them more in line with the optimization goal.
[0076] Based on the solutions expanded through crossover and mutation, the population of equipment layout solutions is updated to obtain an updated population of equipment layout solutions. Global iterative optimization is performed within the updated population of equipment layout solutions, and the optimal layout solution is searched through multiple rounds of iteration. In each round of iteration, each layout solution in the current population is evaluated, and solutions with better performance are selected for crossover and mutation, and then a new population is formed for the next round of optimization until the preset termination conditions (such as the number of iterations, error threshold, etc.) are reached. The preset termination conditions are the stop conditions set during the optimization process, which determine when to stop the iteration, including a fixed number of iterations, the achievement of the optimization goal, the error being less than the preset threshold, etc. After multiple rounds of iteration and optimization, an optimal equipment layout solution is finally determined. This solution meets the design requirements in terms of equipment spacing, load distribution, safety, etc., and can achieve efficient, safe, and low-energy consumption operation in the actual project.
[0077] Exemplarily, assume that the population of equipment layout solutions contains 4 layout solutions. After simulating these four solutions, the simulation effect scores obtained are: Solution 1 is 75, Solution 2 is 85, Solution 3 is 90, and Solution 4 is 70. The two relatively poor solutions, Solution 1 and Solution 4, are crossed and mutated to adjust the position of the distribution cabinet and the equipment spacing, and then simulated again. The simulation effect scores obtained are: Solution 5 is 81, Solution 6 is 80, Solution 7 is 93, and Solution 8 is 79. Through multiple rounds of iterative optimization, the layout solution with the highest score is finally selected.
[0078] The equipment layout simulation module randomly selects, cross - mutates and expands the population of equipment layout schemes for the transmission and transformation project, and performs iterative optimization to improve the equipment layout design efficiency of the transmission and transformation project, optimize the design scheme, enhance the safety and operation efficiency of the overall power system, and finally determine the optimal equipment layout scheme that meets all design standards and performance requirements.
[0079] In summary, the equipment layout optimization method in the transmission and transformation project design provided by this application has the following
[0080] Beneficial effects:
[0081] By obtaining the design drawing information and distribution characteristic data of the target transmission and transformation project, dividing the design drawing information based on the distribution characteristic data to obtain N transmission and transformation project areas; calling the transmission and transformation project layout data space through the smart grid, evaluating and fitting the effect of the transmission and transformation project layout data space, and constructing a transmission and transformation project layout simulation module; using the transmission and transformation project layout simulation module based on the transmission and transformation project layout data space, sequentially optimizing the equipment layout of the N transmission and transformation project areas to determine N equipment layout schemes for the transmission and transformation areas; performing 3D modeling based on the N equipment layout schemes for the transmission and transformation areas to generate an initial engineering equipment layout model, and performing abnormal identification and marking on the initial engineering equipment layout model to obtain equipment layout abnormal characteristic information; performing global optimization analysis on the initial engineering equipment layout model based on the equipment layout abnormal characteristic information to determine the equipment layout scheme for the transmission and transformation project. That is to say, the entire project is divided into N different areas through the design drawing information and distribution characteristic data, the data space is called through the smart grid, and a simulation module that can simulate the actual layout effect is constructed. The equipment layout of each divided area is optimized to determine the layout scheme. After 3D modeling according to the layout scheme, the overall layout model is obtained, and the potential problems in the model are identified to optimize the layout, and the final equipment layout scheme is determined to ensure that it not only meets the operation requirements of the smart grid, but also is convenient for subsequent maintenance, improving the design efficiency and quality of the transmission and transformation project.
[0082] Embodiment 2, based on the same inventive concept as the equipment layout optimization method in the transmission and transformation project design in the first embodiment of the foregoing, this application also provides an equipment layout optimization system in the transmission and transformation project design. Please refer to the appendix Figure 2 The equipment layout optimization system in the transmission and transformation project design includes:
[0083] The regional division module 11 is used to obtain the design drawing information and distribution characteristic data of the target power transmission and transformation project, divide the design drawing information based on the distribution characteristic data to obtain N power transmission and transformation project areas; the simulation construction module 12 is used to call the power transmission and transformation project layout data space through the smart grid, evaluate and fit the effect of 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 13 is used to use the power transmission and transformation project layout simulation module based on the power transmission and transformation project layout data space to sequentially optimize the equipment layout of the N power transmission and transformation project areas to determine N power transmission and transformation area equipment layout schemes; the abnormal identification and marking module 14 is used to perform 3D modeling based on the N power transmission and transformation area equipment layout schemes, generate an initial engineering equipment layout model, identify and mark the abnormalities of the initial engineering equipment layout model to obtain equipment layout abnormal characteristic information; the global optimization analysis module 15 is used to perform global optimization analysis on the initial engineering equipment layout model based on the equipment layout abnormal characteristic information to determine the power transmission and transformation project equipment layout scheme.
[0084] Furthermore, the regional division module 11 in the equipment layout optimization system in the power transmission and transformation project design is further used for:
[0085] Perform mapping and marking on the design drawing information based on the distribution characteristic data to obtain power transmission and transformation project design distribution data; obtain an engineering area division factor set, where the engineering area division factor set includes equipment function, terrain boundary, load density, and equipment safety level; analyze and identify the power transmission and transformation project design distribution data according to the engineering area division factor set to obtain a power transmission and transformation project factor parameter set; divide the design drawing information based on the power transmission and transformation project factor parameter set to obtain N power transmission and transformation project areas.
[0086] Furthermore, the regional division module in the equipment layout optimization system in the power transmission and transformation project design is further used for:
[0087] Set the regional grid division density according to the power transmission and transformation project area division accuracy requirement; perform regional grid division on the design drawing information according to the regional grid division density to obtain a power transmission and transformation project grid area; perform clustering analysis on the power transmission and transformation project grid area based on the power transmission and transformation project factor parameter set to obtain a grid area clustering result; adjust the boundary division of the design drawing information based on the grid area clustering result to obtain the N power transmission and transformation project areas.
[0088] Furthermore, the simulation construction module 12 in the equipment layout optimization system in the power transmission and transformation project design is further used for:
[0089] Based on the power transmission and transformation project layout data space, determine the power transmission and transformation project characteristic data, equipment layout data, and corresponding layout effect data; construct an evaluation index set for the power transmission and transformation project layout effect, evaluate the influencing degree of the evaluation index set for the power transmission and transformation project layout effect, and determine the effect evaluation index influencing factor set; based on the effect evaluation index influencing factor set and the evaluation index set for the power transmission and transformation project layout effect, conduct a weighted evaluation of the corresponding layout effect data to obtain equipment layout effect data; perform a simulation effect fitting on the power transmission and transformation project characteristic data, equipment layout data, and the equipment layout effect data, and construct the power transmission and transformation project layout simulation module.
[0090] Furthermore, the simulation construction module 12 in the equipment layout optimization system in the power transmission and transformation project design is further configured to:
[0091] Perform associated impact data mining based on the evaluation index set for the power transmission and transformation project layout effect to obtain a data set of power transmission and transformation project layout effect indicators; perform positive normalization processing on the data set of power transmission and transformation project layout effect indicators to obtain a standard data set of power transmission and transformation project effect indicators; perform ratio value calculation and information entropy calculation on the standard data set of power transmission and transformation project effect indicators to obtain an information entropy set of power transmission and transformation project effect indicators; based on the information entropy set of power transmission and transformation project effect indicators, perform entropy weight calculation on the evaluation index set for the power transmission and transformation project layout effect to determine the effect evaluation index influencing factor set.
[0092] Furthermore, the layout plan optimization module 13 in the equipment layout optimization system in the power transmission and transformation project design is further configured to:
[0093] Based on the design distribution data of the N power transmission and transformation project areas, perform traversal matching analysis in the power transmission and transformation project layout data space in sequence to obtain N area-adapted equipment layout plans; use the power transmission and transformation project layout simulation module to perform simulation evaluations on the N area-adapted equipment layout plans respectively to obtain the simulation effects of the N area layout plans; perform iterative search optimization on the N area-adapted equipment layout plans based on the simulation effects of the N area layout plans to determine the equipment layout plans for the N power transmission and transformation areas.
[0094] Furthermore, the anomaly identification and marking module 14 in the equipment layout optimization system in the power transmission and transformation project design is further configured to:
[0095] According to the application safety standard of the power transmission and transformation project, determine the abnormal identification rules for equipment layout. The abnormal identification rules for equipment layout include equipment distance constraint, equipment distribution constraint, and power operation constraint. Perform abnormal identification and detection on the initial engineering equipment layout model according to the abnormal identification rules for equipment layout to obtain a set of abnormal points for equipment layout. Perform type identification and abnormal scoring on the set of abnormal points for equipment layout to obtain a set of abnormal point features, and fuse the set of abnormal point features into a list to obtain the abnormal feature information of equipment layout.
[0096] Furthermore, the global optimization analysis module 15 in the equipment layout optimization system in the power transmission and transformation project design is further used for:
[0097] Perform global optimization analysis on the initial engineering equipment layout model based on the abnormal feature information of equipment layout to obtain the optimization threshold for equipment layout scheme parameters. Initialize the population of equipment layout schemes according to the optimization threshold for equipment layout scheme parameters. Use the power transmission and transformation project layout simulation module to perform optimization integration and output within the population of equipment layout schemes to determine the equipment layout scheme for the power transmission and transformation project.
[0098] Furthermore, the global optimization analysis module 15 in the equipment layout optimization system in the power transmission and transformation project design is further used for:
[0099] Use the power transmission and transformation project layout simulation module to perform random selection and evaluation within the population of equipment layout schemes to obtain the simulation effects of multiple layout schemes. Expand the population of equipment layout schemes through crossover and mutation according to the simulation effects of the multiple layout schemes to obtain an updated population of equipment layout schemes. Perform global iterative optimization within the updated population of equipment layout schemes until a preset termination condition is reached to determine the equipment layout scheme for the power transmission and transformation project.
[0100] Each embodiment in this specification is described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. The power transmission and transformation project design equipment layout optimization method and specific example in the foregoing Figure 1 The equipment layout optimization system in the power transmission and transformation project design in Embodiment 1 is equally applicable to the equipment layout optimization system in the power transmission and transformation project design in this embodiment. Through the foregoing detailed description of the equipment layout optimization method in the power transmission and transformation project design, those skilled in the art can clearly know the equipment layout optimization system in the power transmission and transformation project design in this embodiment. Therefore, for the sake of simplicity of the specification, it will not be elaborated here. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method part.
[0101] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but rather to the broadest scope consistent with the principles and novel features disclosed herein.
[0102] Obviously, for those skilled in the art, without departing from the principles of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the protection scope of the present application.
Claims
1. An equipment layout optimization method in the design of power transmission and transformation projects, characterized in that, Including: Obtain the design drawing information and distribution characteristic data of the target power transmission and transformation project, divide the design drawing information based on the distribution characteristic data to obtain N power transmission and transformation project areas; Call the power transmission and transformation project layout data space through the smart grid, evaluate and fit the effect of 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 based on the power transmission and transformation project layout data space to optimize the equipment layout of the N power transmission and transformation project areas in sequence, and determine the equipment layout schemes for the N power transmission and transformation areas; Perform 3D modeling based on the equipment layout schemes for the N power transmission and transformation areas to generate an initial engineering equipment layout model, and perform abnormal identification and marking on the initial engineering equipment layout model to obtain equipment layout abnormal feature information; Perform global optimization analysis on the initial engineering equipment layout model based on the equipment layout abnormal feature information to determine the power transmission and transformation project equipment layout scheme.
2. The method for optimizing the equipment layout in the power transmission and transformation project design according to claim 1, characterized in that, The obtaining of the N power transmission and transformation project areas includes: Perform mapping annotation on the design drawing information based on the distribution characteristic data to obtain power transmission and transformation project design distribution data; Obtain the engineering area division factor set, where the engineering area division factor set includes equipment function, terrain boundary, load density, and equipment safety level; Parse and identify the power transmission and transformation project design distribution data according to the engineering area division factor set to obtain a power transmission and transformation project factor parameter set; Divide the design drawing information based on the power transmission and transformation project factor parameter set to obtain N power transmission and transformation project areas.
3. The equipment layout optimization method in the power transmission and transformation project design according to claim 2, characterized in that, The obtaining of the N power transmission and transformation project areas includes: Set the regional grid division density according to the accuracy requirement of the power transmission and transformation project area division; Perform regional grid division on the design drawing information according to the regional grid division density to obtain power transmission and transformation project grid areas; Perform clustering analysis on the power transmission and transformation project grid areas based on the power transmission and transformation project factor parameter set to obtain the grid area clustering result; Adjust the boundary division of the design drawing information based on the grid area clustering result to obtain the N power transmission and transformation project areas.
4. The equipment layout optimization method in the power transmission and transformation project design according to claim 1, characterized in that The constructing of the power transmission and transformation project layout simulation module includes: Determine the power transmission and transformation project characteristic data, equipment layout data, and corresponding layout effect data according to the power transmission and transformation project layout data space; Construct a power transmission and transformation project layout effect evaluation index set, evaluate the influence degree of the power transmission and transformation project layout effect evaluation index set, and determine the effect evaluation index influence factor set; Perform effect weighted evaluation on the corresponding layout effect data based on the effect evaluation index influence factor set and the power transmission and transformation project layout effect evaluation index set to obtain equipment layout effect data; Perform simulation effect fitting on the power transmission and transformation project characteristic data, equipment layout data, and the equipment layout effect data to construct the power transmission and transformation project layout simulation module.
5. The equipment layout optimization method in the power transmission and transformation project design according to claim 4, characterized in that, The determining of the effect evaluation index influence factor set includes: Perform associated influence data mining based 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 normalization processing on the dataset of the layout effect indicators of the power transmission and transformation project to obtain a standard dataset of the effect indicators of the power transmission and transformation project; Perform ratio value calculation and information entropy calculation on the standard dataset of the effect indicators of the power transmission and transformation project to obtain an information entropy set of the effect indicators of the power transmission and transformation project; Based on the information entropy set of the effect indicators of the power transmission and transformation project, perform entropy weight calculation on the evaluation index set of the layout effect of the power transmission and transformation project to determine the influence factor set of the evaluation index of the effect; 6. The equipment layout optimization method in the power transmission and transformation project design according to claim 1, characterized in that, The determination of the equipment layout schemes for N power transmission and transformation regions includes: Based on the design distribution data of the N power transmission and transformation project regions, perform traversal matching analysis in the data space of the power transmission and transformation project layout in sequence to obtain N region-adapted equipment layout schemes; Use the power transmission and transformation project layout simulation module to perform simulation evaluation on the N region-adapted equipment layout schemes respectively to obtain the simulation effects of the N region layout schemes; Based on the simulation effects of the N region layout schemes, perform iterative search and optimization on the N region-adapted equipment layout schemes to determine the equipment layout schemes for N power transmission and transformation regions.
7. The equipment layout optimization method in the power transmission and transformation project design according to claim 1, characterized in that The obtaining of the equipment layout abnormal feature information includes: According to the application safety standards of the power transmission and transformation project, determine the equipment layout abnormal identification rules, and the equipment layout abnormal identification rules include equipment distance constraints, equipment distribution constraints, and power operation constraints; According to the equipment layout abnormal identification rules, perform abnormal identification and detection on the initial engineering equipment layout model to obtain a set of equipment layout abnormal points; Perform type identification and abnormal scoring on the set of equipment layout abnormal points to obtain a set of abnormal point features, and fuse the set of abnormal point features in a list to obtain the equipment layout abnormal feature information.
8. The equipment layout optimization method in the power transmission and transformation project design according to claim 1, characterized in that The determination of the equipment layout scheme for the power transmission and transformation project includes: Based on the equipment layout abnormal feature information, perform global optimization analysis on the initial engineering equipment layout model to obtain the optimization threshold of the equipment layout scheme parameters; According to the optimization threshold of the equipment layout scheme parameters, initialize the population of the equipment layout scheme; Use the power transmission and transformation project layout simulation module to perform optimization integration output within the population of the equipment layout scheme to determine the equipment layout scheme for the power transmission and transformation project.
9. The method for optimizing equipment layout in the design of power transmission and transformation projects according to claim 8, characterized in that The determination of the equipment layout scheme for the power transmission and transformation project includes: Use the power transmission and transformation project layout simulation module to perform random selection and evaluation within the population of the equipment layout scheme to obtain the simulation effects of multiple layout schemes; According to the simulation effects of the multiple layout schemes, perform crossover and mutation expansion on the population of the equipment layout scheme to obtain an updated population of the equipment layout scheme; Perform global iterative optimization within the updated population of the equipment layout scheme until the preset termination condition is reached to determine the equipment layout scheme for the power transmission and transformation project.
10. An equipment layout optimization system in the power transmission and transformation project design, characterized in that it is used to implement the steps of the equipment layout optimization method in any one of claims 1 to 9, and the equipment layout optimization system in the power transmission and transformation project design includes: The area division module is used to obtain the design drawing information and distribution characteristic data of the target power transmission and transformation project, and divide the design drawing information based on the distribution characteristic data to obtain N power transmission and transformation project areas; The simulation construction module is used to call the power transmission and transformation project layout data space through the smart grid, evaluate and fit the effect of 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 used to use the power transmission and transformation project layout simulation module based on the power transmission and transformation project layout data space to sequentially optimize the equipment layout of the N power transmission and transformation project areas, and determine the equipment layout schemes for the N power transmission and transformation areas; The abnormal identification and marking module is used to perform 3D modeling based on the equipment layout schemes of the N power transmission and transformation areas, generate an initial engineering equipment layout model, and perform abnormal identification and marking on the initial engineering equipment layout model to obtain equipment layout abnormal feature information; The global optimization analysis module is used to perform global optimization analysis on the initial engineering equipment layout model based on the equipment layout abnormal feature information to determine the power transmission and transformation project equipment layout scheme.
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