Intelligent composition optimization method and system based on overhead line full professional investment

Abstract

This invention provides an intelligent pricing optimization method and system based on comprehensive cost estimation for overhead power lines. The method includes: Step 1: acquiring line engineering data provided by 3D design software, wherein the line engineering data includes at least engineering information, a comprehensive cost estimation table, line characteristic parameters, component parameters, and main material information; Step 2: performing engineering quantity statistics on the design materials in the comprehensive cost estimation table according to a preset statistical rule library, generating engineering quantity statistics information, wherein the statistical rule library includes the correlation between components and quotas, and the correlation between components and main materials; Step 3: performing data calculation based on a preset mapping relationship between design materials and technical and economic materials to determine the corresponding material prices; Step 4: automatically calculating and generating a total budget table for the overhead power line project based on the engineering quantity statistics information, the matched material prices, and preset fee rules.

Description

Technical Field

[0001] This application relates to the field of data processing technology, and in particular to an intelligent pricing optimization method and system based on comprehensive cost estimation for overhead lines. Background Technology

[0002] With the comprehensive development of power transmission and transformation projects and years of engineering design practice, multiple practical challenges are currently emerging. On the one hand, traditional pricing models rely on manual input from various disciplines, and data exchange between design, technical, and economic disciplines is hampered, leading to data fragmentation, inconsistent definitions, and resulting in deviations in quantity surveying and low pricing efficiency. On the other hand, existing 3D design results are not closely integrated with the cost estimation process, and data reuse is insufficient, making it difficult to meet the needs of in-depth application of "design-cost integration." Furthermore, the lack of unified data integration standards restricts the full release of the value of 3D design.

[0003] To address the core pain point of collaborative pricing between engineering design and cost estimation, it is urgently necessary to build a pricing optimization system that can integrate data from all disciplines involved in overhead lines, achieve data sharing and intelligent linkage, and improve the accuracy and efficiency of pricing by connecting the data links between design and cost estimation. This will provide technical support for deepening the application of 3D design and promoting the digital transformation of power grid construction. Summary of the Invention

[0004] This application provides an intelligent pricing optimization method and system based on comprehensive cost estimation for overhead lines, in order to at least address the shortcomings of the aforementioned related technologies.

[0005] In a first aspect, embodiments of this application provide an intelligent pricing optimization method based on comprehensive cost estimation for overhead lines, comprising the following steps: Step 1: Obtain the route engineering data provided by the 3D design software. The route engineering data shall include at least the project information, the full data provision table, the route characteristic parameters, the component parameters, and the main material information. Step 2: Based on the preset statistical rule base, perform engineering quantity statistics on the design materials in the full amount of data provided, and generate engineering quantity statistics information. The statistical rule base includes the relationship between components and quotas, and the relationship between components and main materials. Step 3: Based on the preset mapping relationship between design materials and technical and economic materials, perform data calculations to determine the corresponding material prices; Step 4: Based on the project quantity statistics, the matched material prices, and the preset fee rules, automatically calculate and generate the total budget table for the overhead line project.

[0006] Furthermore, in step one, the project information includes project name, voltage level, implementation specifications, and calculation parameters; the line characteristic parameters include at least one of the following: length, transportation terrain ratio, comprehensive terrain parameters, and crossing information.

[0007] Furthermore, in step two, the project quantity statistics information includes quota quantities and main material quantities; step two includes: Based on the line characteristic parameters, the component parameters, and the main material information, the corresponding engineering quantity statistics are obtained. During the statistical process, the basic earthwork volume, soil quality ratio, and transportation terrain ratio are combined to calculate the corresponding statistical engineering quantities.

[0008] Furthermore, step three includes: Construct a mapping relationship between design materials and technical and economic materials, and construct a corresponding price list for design materials and technical and economic materials based on the mapping relationship; The design materials are intelligently matched with the price list of technical and economic materials using a word segmentation retrieval algorithm to determine the corresponding material prices.

[0009] Furthermore, in step four, the fee rules are configured through the fee setting module, including at least one of the following: a fee schedule for line installation projects, a fee schedule for demolition projects, and a fee schedule for large-scale earthwork.

[0010] Furthermore, the method also includes: According to the report output rules set by the user, output at least one of the following: the total budget table, the main materials table, and the comprehensive terrain increase coefficient calculation table.

[0011] Secondly, this invention also proposes an intelligent pricing optimization system based on comprehensive cost estimation for overhead lines, comprising: The data acquisition module is used to acquire the line engineering data provided by the 3D design software. The line engineering data includes at least the engineering information, the full data provision table, the line characteristic parameters, the component parameters, and the main material information. The information statistics module is used to perform engineering quantity statistics on the design materials in the full amount of data provided, based on a preset statistical rule library, and generate engineering quantity statistics information. The statistical rule library includes the relationship between components and quotas, and the relationship between components and main materials. The data calculation module is used to perform data calculations based on the preset mapping relationship between design materials and technical and economic materials in order to determine the corresponding material prices; The data output module is used to automatically calculate and generate a total budget table for the overhead line project based on the project quantity statistics, the matched material prices, and the preset fee rules.

[0012] Furthermore, the project quantity statistics information includes quota quantities and main material quantities; the information statistics module is specifically used for: Based on the line characteristic parameters, the component parameters, and the main material information, the corresponding engineering quantity statistics are obtained. During the statistical process, the basic earthwork volume, soil quality ratio, and transportation terrain ratio are combined to calculate the corresponding statistical engineering quantities.

[0013] Furthermore, the data calculation module is specifically used for: Construct a mapping relationship between design materials and technical and economic materials, and construct a corresponding price list for design materials and technical and economic materials based on the mapping relationship; The design materials are intelligently matched with the price list of technical and economic materials using a word segmentation retrieval algorithm to determine the corresponding material prices.

[0014] Furthermore, the system also includes: The data output module is used to output at least one of the following: the total budget table, the main materials table, and the comprehensive terrain increase coefficient calculation table, according to the report output rules set by the user.

[0015] Compared to related technologies, the present application provides an intelligent pricing optimization method and system based on comprehensive cost estimates for overhead transmission lines. This method enables intelligent pricing for comprehensive cost estimates that integrate design and technical / economic aspects of overhead transmission lines, and allows for rapid configuration of statistical rules. Utilizing a word segmentation retrieval algorithm, it achieves intelligent matching and seamless integration of design materials and technical / economic materials, realizing fully intelligent components without manual intervention, achieving the goal of accurate quantity and price. It automatically loads corresponding parameters based on data provided by 3D design software and automatically calculates quantities and prices based on the material mapping relationship and quota application rules of the two disciplines. This method is highly adaptable and has a wide range of applications, applicable not only to overhead power line cost estimates but also to cost estimates for other disciplines and industries such as substations and cables.

[0016] Details of one or more embodiments of this application are set forth in the following drawings and description to make other features, objects and advantages of this application more readily apparent. Attached Figure Description

[0017] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings: Figure 1 This is a flowchart of the intelligent pricing optimization method based on comprehensive cost estimation for overhead lines in the first embodiment of the present invention. Figure 2This is a flowchart of the intelligent pricing optimization method based on comprehensive cost estimation for overhead lines according to the first embodiment of the present invention. Figure 3 This is a structural block diagram of the intelligent pricing optimization system based on comprehensive cost estimation for overhead lines according to the second embodiment of the present invention.

[0018] The following detailed description, in conjunction with the accompanying drawings, will further illustrate the present invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this application clearer, the application is described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application. All other embodiments obtained by those skilled in the art based on the embodiments provided in this application without inventive effort are within the scope of protection of this application.

[0020] Obviously, the accompanying drawings described below are merely some examples or embodiments of this application. Those skilled in the art can apply this application to other similar scenarios based on these drawings without any inventive effort. Furthermore, it is understood that although the efforts made in this development process may be complex and lengthy, for those skilled in the art related to the content disclosed in this application, any changes to design, manufacturing, or production based on the technical content disclosed in this application are merely conventional technical means and should not be construed as insufficient disclosure of the content of this application.

[0021] In this application, the reference to "embodiment" means that a specific feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment that is mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0022] Unless otherwise defined, the technical or scientific terms used in this application shall have the ordinary meaning understood by one of ordinary skill in the art to which this application pertains. The terms “a,” “an,” “an,” “the,” and similar words used in this application do not indicate quantity limitation and may represent singular or plural. The terms “comprising,” “including,” “having,” and any variations thereof used in this application are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units not listed, or may include other steps or units inherent to such processes, methods, products, or devices. The terms “connected,” “linked,” “coupled,” and similar words used in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. Example 1

[0023] Please see Figure 1 The image shows a smart pricing optimization method based on comprehensive cost estimation for overhead lines according to the first embodiment of the present invention. The method specifically includes steps S101 to S104: S101, Obtain the line engineering data provided by the 3D design software, wherein the line engineering data includes at least engineering information, full data provision table, line characteristic parameters, component parameters and main material information; Furthermore, in step S101, the project information includes project name, voltage level, execution specifications and calculation parameters; the line characteristic parameters include at least one of length, transport terrain ratio, comprehensive terrain parameters and crossing information.

[0024] For specific implementation details, please refer to [link / reference]. Figure 2 In the overhead transmission line compilation mode, the process includes viewing project information, fee settings, project quantity statistics, project costs, and report output. Following the project compilation sequence, the process prioritizes setting basic parameters, importing data submission forms, then confirming line characteristic sections, statistical parameters, component parameters, etc., followed by statistical preview and statistical project quantity analysis, and finally viewing the reports.

[0025] The project information includes the project name, voltage level, applicable standards, and calculation parameters. Specifically: 1) Project Name: Obtain the project name output by the 3D design software to create a new project; 2) Voltage Level: Set the voltage level of the project to set the charging rate; 3) Calculation parameters: Set parameters such as social insurance contribution rate, housing provident fund contribution rate, basic reserve fund rate, and inclusion of materials supplied by Party A in the main body; 4) Execution Specifications: Set the execution specifications for the project to obtain the standard fee base.

[0026] S102, according to the preset statistical rule base, perform engineering quantity statistics on the design materials in the full amount of data provided, and generate engineering quantity statistics information, wherein the statistical rule base includes the relationship between components and quotas, and the relationship between components and main materials; Furthermore, in step S102, the project quantity statistics information includes quota quantities and main material quantities; step S102 specifically includes steps S1021~S1022: S1021, Based on the line characteristic parameters, the component parameters and the main material information, the corresponding engineering quantity statistics are obtained by statistical analysis; S1022, In the statistical process, the basic earthwork volume, soil quality ratio and transportation terrain ratio are combined to calculate the corresponding statistical engineering quantity.

[0027] In practical implementation, the fee collection settings in this embodiment include setting up line fee meters, demolition fee meters, and large-scale earthwork fee meters. Among them: 1) Set up the line toll table: Set the rules for calculating the toll for line installation work; 2) Set up a demolition fee schedule: Set up the rules for calculating fees for the amount of line demolition work; 3) Set up a fee schedule for large-scale earthwork: Set up the fee calculation rules for the earthwork volume of the line.

[0028] Furthermore, the quantity survey includes importing the full quantity data report, statistical parameters, and line characteristics. Among these: 1) Import full data submission form: Connect with the data submission data provided by the 3D design software, bind the relationship between design materials and components, and realize the conversion between data submission data and software parameter data respectively; 2) Statistical parameters: Set the transportation terrain and transportation distance for project quantity statistics; 3) Line characteristics: Set the line length and line characteristic name, etc.

[0029] In this embodiment, the project cost includes project fees, other setup fees, and template import / export fees. Wherein: 1) Project Costs: Set up a project cost template to flexibly configure project costs by setting the rate and base for calculating project costs; 2) Set other costs: Set other project costs template, add or adjust other project names and calculation rules to achieve diversified configuration of project costs; 3) Import / Export Templates: Export project cost and other cost templates for quick reuse.

[0030] S103, based on the preset mapping relationship between design materials and technical and economic materials, perform data calculations to determine the corresponding material prices; Furthermore, step S103 specifically includes steps S1031 to S1032: S1031, Construct a mapping relationship between design materials and technical and economic materials, and construct a corresponding price list for design materials and technical and economic materials based on the mapping relationship between design materials and technical and economic materials; S1032, The design material is intelligently matched with the price list of technical and economic materials using a word segmentation retrieval algorithm to determine the price of the corresponding material.

[0031] In practical implementation, a mapping relationship between design materials and technical and economic materials is established, and a price list for the corresponding design materials and technical and economic materials is constructed based on the mapping relationship. The Luca word segmentation retrieval algorithm is used to intelligently match the price lists of design materials and technical and economic materials to determine the corresponding material prices.

[0032] Understandably, the above settings can avoid repeated communication and data adjustment, as well as manual entry of material prices, and can configure engineering costs and other project costs, achieving fully intelligent pricing for overhead lines.

[0033] S104. Based on the project quantity statistics, the matched material prices, and the preset fee rules, automatically calculate and generate the total budget table for the overhead line project.

[0034] Furthermore, in step S104, the fee rules are configured through the fee setting module, including at least one of the following: a fee table for line installation projects, a fee table for demolition projects, and a fee table for large-scale earthwork.

[0035] In some alternative embodiments, the method further includes: According to the report output rules set by the user, output at least one of the following: the total budget table, the main materials table, and the comprehensive terrain increase coefficient calculation table.

[0036] In this embodiment, report output includes data query, report parameter setting, and export / print report. Wherein: 1) Data Query: Query different types of reports; 2) Report parameter settings: Set the output rules for different types of report results to meet the needs of diverse output results; 3) Batch setting precision: Set the number of decimal places displayed for different types of reports; 4) Export / Print Reports: Export / print all reports from the project report output interface.

[0037] In summary, the intelligent pricing optimization method based on comprehensive cost estimates for overhead transmission lines in the above embodiments of this invention achieves intelligent pricing for comprehensive cost estimates that integrate design and technical / economic aspects of overhead transmission lines, and enables rapid configuration of statistical rules. Relying on word segmentation retrieval algorithms, it achieves intelligent matching and seamless integration of design materials and technical / economic materials, realizing fully intelligent components without manual intervention, and achieving the goal of accurate quantity and price. It automatically loads corresponding parameters based on data provided by 3D design software and automatically calculates quantities and prices based on the material mapping relationship and quota application rules of the two disciplines. It is highly adaptable and has a wide range of applications, applicable not only to overhead power line cost estimates but also to cost estimates for other disciplines and industries such as substations and cables. Example 2

[0038] In another aspect, this invention proposes an intelligent pricing optimization system based on comprehensive cost estimation for overhead lines. Please refer to [link / reference]. Figure 3 The figure shows an intelligent pricing optimization system based on comprehensive cost estimation for overhead lines according to a second embodiment of the present invention, comprising: The data acquisition module 11 is used to acquire the line engineering data provided by the 3D design software, wherein the line engineering data includes at least engineering information, full data provision table, line characteristic parameters, component parameters and main material information; The information statistics module 12 is used to perform engineering quantity statistics on the design materials in the full amount of data provided according to the preset statistical rule library, and generate engineering quantity statistics information. The statistical rule library includes the relationship between components and quotas, and the relationship between components and main materials. Data calculation module 13 is used to perform data calculations based on the preset mapping relationship between design materials and technical and economic materials in order to determine the corresponding material prices; The data output module 14 is used to automatically calculate and generate a total budget table for the overhead line project based on the project quantity statistics, the matched material prices, and the preset fee rules.

[0039] Furthermore, the project quantity statistics information includes quota quantities and main material quantities; the information statistics module 12 is specifically used for: Based on the line characteristic parameters, the component parameters, and the main material information, the corresponding engineering quantity statistics are obtained. During the statistical process, the basic earthwork volume, soil quality ratio, and transportation terrain ratio are combined to calculate the corresponding statistical engineering quantities.

[0040] Furthermore, the data calculation module 13 is specifically used for: Construct a mapping relationship between design materials and technical and economic materials, and construct a corresponding price list for design materials and technical and economic materials based on the mapping relationship; The design materials are intelligently matched with the price list of technical and economic materials using a word segmentation retrieval algorithm to determine the corresponding material prices.

[0041] Furthermore, the system also includes: The data output module is used to output at least one of the following: the total budget table, the main materials table, and the comprehensive terrain increase coefficient calculation table, according to the report output rules set by the user.

[0042] The functions or operation steps implemented by the above modules are largely the same as those in the above method embodiments, and will not be repeated here.

[0043] The intelligent pricing optimization system based on comprehensive cost estimation for overhead lines provided in this embodiment of the invention has the same implementation principle and technical effects as the aforementioned method embodiment. For the sake of brevity, any parts not mentioned in the system embodiment can be referred to the corresponding content in the aforementioned method embodiment.

[0044] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0045] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A smart pricing optimization method based on comprehensive cost estimation for overhead lines, characterized in that, Includes the following steps: Step 1: Obtain the route engineering data provided by the 3D design software. The route engineering data shall include at least the project information, the full data provision table, the route characteristic parameters, the component parameters, and the main material information. Step 2: Based on the preset statistical rule base, perform engineering quantity statistics on the design materials in the full amount of data provided, and generate engineering quantity statistics information. The statistical rule base includes the relationship between components and quotas, and the relationship between components and main materials. Step 3: Based on the preset mapping relationship between design materials and technical and economic materials, perform data calculations to determine the corresponding material prices; Step 4: Based on the project quantity statistics, the matched material prices, and the preset fee rules, automatically calculate and generate the total budget table for the overhead line project.

2. The intelligent pricing optimization method based on comprehensive cost estimation for overhead lines according to claim 1, characterized in that, In step one, the project information includes the project name, voltage level, implementation specifications, and calculation parameters; the line characteristic parameters include at least one of the following: length, transportation terrain ratio, comprehensive terrain parameters, and crossing information.

3. The intelligent pricing optimization method based on comprehensive cost estimation for overhead lines according to claim 1, characterized in that, In step two, the project quantity statistics include quota quantities and main material quantities; step two includes: Based on the line characteristic parameters, the component parameters, and the main material information, the corresponding engineering quantity statistics are obtained. During the statistical process, the basic earthwork volume, soil quality ratio, and transportation terrain ratio are combined to calculate the corresponding statistical engineering quantities.

4. The intelligent pricing optimization method based on comprehensive cost estimation for overhead lines according to claim 1, characterized in that, Step three includes: Construct a mapping relationship between design materials and technical and economic materials, and construct a corresponding price list for design materials and technical and economic materials based on the mapping relationship; The design materials are intelligently matched with the price list of technical and economic materials using a word segmentation retrieval algorithm to determine the corresponding material prices.

5. The intelligent pricing optimization method based on comprehensive cost estimation for overhead lines according to claim 1, characterized in that, In step four, the fee rules are configured through the fee setting module, including at least one of the following: a fee table for line installation projects, a fee table for demolition projects, and a fee table for large-scale earthwork.

6. The intelligent pricing optimization method based on comprehensive cost estimation for overhead lines according to claim 1, characterized in that, The method further includes: According to the report output rules set by the user, output at least one of the following: the total budget table, the main materials table, and the comprehensive terrain increase coefficient calculation table.

7. An intelligent pricing optimization system based on comprehensive cost estimation for overhead lines, characterized in that, include: The data acquisition module is used to acquire the line engineering data provided by the 3D design software. The line engineering data includes at least the engineering information, the full data provision table, the line characteristic parameters, the component parameters, and the main material information. The information statistics module is used to perform engineering quantity statistics on the design materials in the full amount of data provided, based on a preset statistical rule library, and generate engineering quantity statistics information. The statistical rule library includes the relationship between components and quotas, and the relationship between components and main materials. The data calculation module is used to perform data calculations based on the preset mapping relationship between design materials and technical and economic materials in order to determine the corresponding material prices; The data output module is used to automatically calculate and generate a total budget table for the overhead line project based on the project quantity statistics, the matched material prices, and the preset fee rules.

8. The intelligent pricing optimization system based on comprehensive cost estimation for overhead lines according to claim 7, characterized in that, The project quantity statistics information includes quota quantities and main material quantities; the information statistics module is specifically used for: Based on the line characteristic parameters, the component parameters, and the main material information, the corresponding engineering quantity statistics are obtained. During the statistical process, the basic earthwork volume, soil quality ratio, and transportation terrain ratio are combined to calculate the corresponding statistical engineering quantities.

9. The intelligent pricing optimization system based on comprehensive cost estimation for overhead lines according to claim 7, characterized in that, The data calculation module is specifically used for: Construct a mapping relationship between design materials and technical and economic materials, and construct a corresponding price list for design materials and technical and economic materials based on the mapping relationship; The design materials are intelligently matched with the price list of technical and economic materials using a word segmentation retrieval algorithm to determine the corresponding material prices.

10. The intelligent pricing optimization system based on comprehensive cost estimation for overhead lines according to claim 7, characterized in that, The system also includes: The data output module is used to output at least one of the following: the total budget table, the main materials table, and the comprehensive terrain increase coefficient calculation table, according to the report output rules set by the user.

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