Intelligent comparison and selection method and system for mechanical construction scheme of overhead transmission line engineering

Abstract

The embodiment of the invention discloses an intelligent comparison and selection method and system for a mechanical construction scheme of overhead transmission line engineering, and aims to overcome the limitation of a traditional method in selection of the construction scheme. Through a scientific multi-dimensional evaluation model, factors such as the construction period, construction efficiency, technical measures, cost control, safety guarantee, terrain adaptability, geological conditions and the degree of influence on the environment are comprehensively considered, comprehensive identification and scientific analysis of the mechanical construction scheme of the overhead transmission line project are achieved, data driving is applied, and the construction efficiency is improved. The method reduces the interference of human factors, guarantees the objectivity and scientificity of decision making, helps a decision maker to scientifically and rapidly recognize an optimal or satisfactory construction scheme from a plurality of feasible schemes, and improves the overall efficiency of the decision making process.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of cloud-TOPSIS technology, and specifically to an intelligent comparison method and system for mechanized construction plans for overhead power transmission line projects. Background Art

[0002] The existing technology mainly relies on the following methods in the selection of construction schemes for overhead transmission line projects:

[0003] (1) Experience judgment method: Traditional construction scheme selection is often based on the personal experience and intuition of engineers or project managers. Although this method is fast, it lacks objectivity and systematicity and is easily affected by personal preferences and cognitive biases.

[0004] (2) Cost-benefit analysis: By comparing the direct costs and expected benefits of different construction plans, the plan with the highest cost-benefit ratio is selected. Although this method is relatively simple, it often ignores the indirect costs and long-term benefits during the construction process and is not comprehensive enough.

[0005] (3) Expert consultation method: Invite industry experts to evaluate and advise on the construction plan to obtain more professional opinions. However, this method may lead to inconsistent results due to differences in personal opinions of experts.

[0006] (4) Qualitative analysis method: qualitative description and analysis of various aspects of the construction plan, such as construction difficulty, technical requirements, environmental impact, etc. This method can provide intuitive characteristics of the plan, but it is difficult to quantify and compare.

[0007] (5) Single-objective optimization method: Optimize for a specific goal (such as minimizing cost or maximizing efficiency) and ignore other goals. This method is effective in specific situations, but it cannot fully consider the various factors of the construction plan.

[0008] In summary, the limitation of the existing technology is the lack of a method that can comprehensively consider multiple factors when selecting a construction plan, dynamically adjust the weights and use intelligent algorithms for optimization. This leads to problems such as inefficient evaluation of construction plans, inaccurate cost estimates, and insufficient risk control in the process of construction plan selection, making it difficult to select the optimal plan based on specific circumstances. Summary of the invention

[0009] To this end, an embodiment of the present invention provides an intelligent comparison method and system for mechanized construction plans for overhead power transmission line projects to solve the technical problems of low efficiency in evaluating construction plans, inaccurate cost estimation, and insufficient risk control when selecting construction plans in the prior art.

[0010] In order to achieve the above objectives, the embodiments of the present invention provide the following technical solutions:

[0011] According to a first aspect of an embodiment of the present invention, there is provided a method for intelligently comparing and selecting mechanized construction schemes for overhead power transmission line projects, the method comprising:

[0012] S1. Obtain the construction data required for the overhead power transmission line project and establish a mechanized construction plan database for the overhead power transmission line project;

[0013] S2. Use basic dimensions and evaluation indicators to construct a multi-factor evaluation system and obtain a construction project that needs to be compared and at least two schemes to be evaluated;

[0014] S3, obtaining the influencing factors of each scheme on different indicators and establishing a decision matrix, performing data standardization processing on the decision matrix to obtain a standardized decision matrix;

[0015] S4, determining the indicator weights of each indicator and using the indicator weights to calculate and obtain a weighted standardized decision matrix, and simultaneously obtaining an ideal solution and a negative ideal solution;

[0016] S5, sequentially calculating the distance between each of the schemes to be evaluated and the ideal solution and the negative ideal solution and the relative closeness of each scheme;

[0017] S6. Extract the closeness value from all relative closeness and sort the closeness values ​​in descending order, select the relative closeness with the largest value and obtain the corresponding plan, which is the optimal construction plan, and generate a detailed analysis report.

[0018] Furthermore, the construction data required for the overhead power transmission line project is obtained and a mechanized construction plan database for the overhead power transmission line project is established, including:

[0019] The overhead power transmission line engineering mechanized construction plan database includes: construction environment data, construction plan design, construction equipment information, construction material information, construction personnel information, construction progress plan and construction cost management.

[0020] Furthermore, a multi-factor evaluation system is constructed using basic dimensions and evaluation indicators, and a construction project that needs to be compared and selected and at least two evaluation schemes are obtained, including:

[0021] The basic dimensions include: construction period, construction efficiency, cost control, safety risks, terrain adaptability, geological conditions, environmental impact, technological advancement, social impact and sustainability.

[0022] Furthermore, the influencing factors of each scheme on different indicators are obtained and a decision matrix is ​​established, and the decision matrix is ​​subjected to data standardization processing to obtain a standardized decision matrix, including:

[0023] The expression of the decision matrix is:

[0024] R=[r ij ]

[0025] Among them, R is the decision matrix, r ij represents the quantitative value of the i-th scheme on the j-th indicator, where i = 1, 2, ..., m, m is the number of schemes, j = 1, 2, ..., n, n is the number of indicators;

[0026] The expression of the standardized decision matrix is:

[0027]

[0028] Among them, r' ij is the standardized decision matrix, r ij It represents the quantitative value of the i-th scheme on the j-th indicator, and m is the number of schemes.

[0029] Furthermore, the indicator weights of each indicator are determined and the weighted standardized decision matrix is ​​obtained by using the indicator weights to obtain an ideal solution and a negative ideal solution, including:

[0030] The expression of the weight vector is:

[0031] W=[w1,w2,…,w n ]

[0032] W is the weight vector, w n is the indicator weight of the nth indicator;

[0033] The expression of the weighted standardized decision matrix is:

[0034] C=[c ij ]

[0035] c ij =w j ×r' ij

[0036] Among them, C is the weighted standardized decision matrix, c ij is the weighted quantitative value of the i-th solution on the j-th indicator, w j is the index weight of the jth index, r' ij is a standardized decision matrix;

[0037] The expression of the ideal solution is:

[0038] A * ={max(c ij |j∈J),min(c ij |j∈J')}

[0039] Among them, A* is an ideal solution, set J is a benefit-type indicator, and set J' is a cost-type indicator;

[0040] The expression of the negative ideal solution is:

[0041] A - ={min(c ij |j∈J), max(c ij |j∈J')}

[0042] Among them, A - is a negative ideal solution.

[0043] Furthermore, the distance between each solution to be evaluated and the ideal solution and the negative ideal solution and the relative closeness of each solution are calculated in turn, including:

[0044] Calculate the difference between the solution i to be evaluated and the ideal solution A * and negative ideal solution A - Distance and The expression is:

[0045]

[0046] in, is the solution i to be evaluated and the ideal solution A * The distance is the solution i to be evaluated and the negative ideal solution A - The distance, c ij is the weighted quantitative value of the i-th scheme on the j-th indicator, is the value of the jth index in the ideal solution, is the value of the jth index in the negative ideal solution;

[0047] The expression of relative closeness is:

[0048]

[0049] Among them, ρ i For relative closeness, is the solution i to be evaluated and the ideal solution A * The distance is the solution i to be evaluated and the negative ideal solution A - distance.

[0050] Furthermore, the closeness values ​​are extracted from all the relative closeness values ​​and sorted in descending order, the relative closeness value with the largest value is selected and the corresponding scheme is obtained, which is the optimal construction scheme, and a detailed analysis report is generated, including:

[0051] Assign each value to the concept of cloud model and standardize each decision matrix r' ij As a cloud droplet, each standardized decision matrix r' is transformed into ij The cloud droplet expectation, weight, and quantity parameters are converted and S3 to S6 are repeated to establish a cloud-TOPSIS quantitative model, and the cloud-TOPSIS quantitative model is used to rank the schemes to be evaluated, obtain the optimal construction scheme, and generate a detailed analysis report.

[0052] Furthermore, each standardized decision matrix r' is transformed into ij Converted into the expected, weighted, and quantity parameters of cloud droplets, including:

[0053] The expected expression converted to cloud droplets is:

[0054]

[0055] Among them, E x is the expectation, K is the total number of cloud droplets, r' ijk is the value of the kth cloud droplet;

[0056] The expression converted to the weight of cloud droplets is:

[0057]

[0058] Among them, W i is the weight, E x is the expectation, K is the total number of cloud droplets, r' ijk is the value of the kth cloud droplet;

[0059] The expression converted to the number parameter of cloud droplets is:

[0060]

[0061] Among them, H e is the quantity parameter, and K is the total number of cloud droplets.

[0062] According to a second aspect of an embodiment of the present invention, there is provided an intelligent comparison and selection system for mechanized construction schemes of overhead power transmission line projects, the system comprising:

[0063] A data acquisition module is used to acquire the construction data required for overhead power transmission line projects and to establish a database for mechanized construction plans for processing power transmission line projects;

[0064] A system construction module is used to construct a multi-factor evaluation system using basic dimensions and evaluation indicators and obtain a construction project that needs to be compared and at least two solutions to be evaluated;

[0065] A decision matrix processing module is used to obtain the influencing factors of each scheme on different indicators and establish a decision matrix, perform data standardization processing on the decision matrix, and obtain a standardized decision matrix;

[0066] A weight calculation module, used to determine the indicator weights of each indicator and use the indicator weights to calculate and obtain a weighted standardized decision matrix, and simultaneously obtain an ideal solution and a negative ideal solution;

[0067] A closeness calculation module, used to sequentially calculate the distance between each solution to be evaluated and the ideal solution and the negative ideal solution and the relative closeness of each solution;

[0068] The intelligent recommendation module is used to extract the proximity value from all relative proximity and sort the proximity values ​​in descending order, select the relative proximity with the largest value and obtain the corresponding plan, which is the optimal construction plan, and generate a detailed analysis report.

[0069] Further, the user interface is used for user authentication, inputting / uploading construction plan data, displaying all construction plans, displaying comparison results and detailed analysis reports;

[0070] Data management module, used for data collection, data storage and data preprocessing;

[0071] Decision analysis engine for defining indicators and setting weights;

[0072] Risk assessment module for risk identification, risk quantification and risk control recommendations;

[0073] Visual analysis module, used for data visualization and solution comparison;

[0074] The report generation module is used to generate a detailed analysis report containing evaluation results, recommended solutions and analysis details.

[0075] The embodiments of the present invention have the following advantages:

[0076] 1) Decision-making accuracy and efficiency improvement

[0077] It provides an accurate and efficient decision-making support for the selection of construction schemes for overhead power transmission line projects. By comprehensively considering key indicators such as construction period, efficiency, and cost, and using data-driven methods, it reduces the interference of human factors and ensures the objectivity and scientificity of decision-making. It greatly shortens the time for scheme comparison and selection, and improves the overall efficiency of the decision-making process.

[0078] 2) Resource allocation optimization and cost control

[0079] Through refined multi-dimensional evaluation, the differences in resource requirements and cost-effectiveness of different construction plans are demonstrated, providing data support for optimizing resource allocation. It can help decision makers identify the most cost-effective plan, achieve reasonable allocation of resources and effective cost control. At the same time, the prediction of potential risks and the provision of response strategies further enhance the flexibility and economy of resource use.

[0080] 3) Technological innovation and sustainable development

[0081] The embodiments of the present invention not only focus on the immediate benefits of the construction scheme, but also attach more importance to the long-term impact of technological innovation and sustainable development. It encourages the use of technologically advanced and environmentally friendly construction methods, and guides the construction industry to develop in a green and intelligent direction by evaluating the technical maturity and social and environmental impact of the scheme. It helps to promote the advancement of construction technology, reduce the negative impact on the environment, and achieve the harmonious unity of social, economic and environmental benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the implementation methods or the description of the prior art. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0083] The structures, proportions, sizes, etc. illustrated in this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with the technology. They are not used to limit the conditions under which the present invention can be implemented, and therefore have no substantial technical significance. Any structural modification, change in proportion or adjustment of size shall still fall within the scope of the technical contents disclosed in the present invention without affecting the effects and purposes that can be achieved by the present invention.

[0084] Figure 1 A schematic diagram of the logical structure of an intelligent comparison and selection system for a mechanized construction scheme for an overhead power transmission line project provided by an embodiment of the present invention;

[0085] Figure 2 A schematic diagram of the application principle of an intelligent comparison and selection system for mechanized construction plans for overhead power transmission line projects provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0086] The following is a description of the implementation of the present invention by specific embodiments. People familiar with the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0087] The limitation of the existing technology is that there is a lack of a method that can comprehensively consider multiple factors when selecting a construction plan, dynamically adjust the weights and use intelligent algorithms for optimization. This leads to problems such as inefficient evaluation of construction plans, inaccurate cost estimates, and insufficient risk control in the process of construction plan selection, making it difficult to select the optimal plan based on specific circumstances.

[0088] In order to solve the above-mentioned technical problems of inefficient evaluation of construction plans, inaccurate cost estimation and insufficient risk control when selecting construction plans.

[0089] Example 1

[0090] refer to Figure 1 The embodiment of the present invention discloses an intelligent comparison system for mechanized construction plans for overhead power transmission line projects, the system comprising: a data acquisition module 1; a system construction module 2; a decision matrix processing module 3; a weight calculation module 4; a proximity calculation module 5; an intelligent recommendation module 6; a user interface 7; a data management module 8; a decision analysis engine 9; a risk assessment module 10; a visualization analysis module 11; and a report generation module 12.

[0091] The data acquisition module 1 is used to acquire the construction data required for the overhead power transmission line project and to establish a database for the mechanized construction plan of the overhead power transmission line project.

[0092] The system construction module 2 is used to construct a multi-factor evaluation system using basic dimensions and evaluation indicators and obtain a construction project that requires scheme comparison and at least two schemes to be evaluated.

[0093] The decision matrix processing module 3 is used to obtain the influencing factors of each solution on different indicators and establish a decision matrix, perform data standardization processing on the decision matrix, and obtain a standardized decision matrix.

[0094] The weight calculation module 4 is used to determine the indicator weight of each indicator and use the indicator weight calculation to obtain a weighted standardized decision matrix, and simultaneously obtain an ideal solution and a negative ideal solution.

[0095] The closeness calculation module 5 is used to sequentially calculate the distance between each solution to be evaluated and the ideal solution and the negative ideal solution and the relative closeness of each solution.

[0096] The intelligent recommendation module 6 is used to extract the proximity values ​​from all relative proximity and sort the proximity values ​​in descending order, select the relative proximity with the largest value and obtain the corresponding plan, which is the optimal construction plan, and generate a detailed analysis report.

[0097] The user interface 7 is used for user identity authentication, inputting / uploading construction plan data, displaying all construction plans, displaying comparison results and detailed analysis reports.

[0098] The data management module 8 is used for data collection, data storage and data preprocessing.

[0099] Data collection: Integrate API or other data interfaces to automatically collect necessary environment and project data. Data storage: Securely store user input and system-generated data. Data preprocessing: Including data cleaning, standardization, and cloud model conversion.

[0100] The decision analysis engine 9 is used to define indicators and set weights.

[0101] Indicator definition: clarify the indicators and quantification methods for each evaluation dimension. Weight setting: allow users to determine the weight of each indicator automatically or according to the algorithm. Multi-factor evaluation: integrate other multi-factor evaluation methods, such as fuzzy logic, grey correlation analysis, etc. Sensitivity analysis: evaluate the impact of weight changes on the results.

[0102] The risk assessment module 10 is used for risk identification, risk quantification and risk control recommendations.

[0103] Risk identification: Analyze the risk factors that the plan may encounter. Risk quantification: Quantify the risk assessment. Risk control suggestions: Provide suggestions for risk mitigation and control.

[0104] The visualization analysis module 11 is used for data visualization and solution comparison.

[0105] Data visualization: graphically display data and analysis results. Solution comparison: intuitively display the advantages and disadvantages of different solutions.

[0106] The report generation module 12 is used to generate a detailed analysis report including evaluation results, recommended solutions and analysis details.

[0107] Automatic report: Generates a report containing evaluation results, recommended solutions, and analysis details. Customized report: Allows users to customize report content as needed. User permission management: Permission settings for different user roles. System parameter configuration: Users can configure system parameters as needed. User feedback collection: Collect user feedback on the system. System self-optimization: Optimize algorithms and user interfaces based on feedback and usage data. API interface: Provides an API interface for easy integration with other systems. Data format compatibility: Supports input and output of multiple data formats. Data encryption: Ensures the security of stored and transmitted data. Privacy protection: Comply with relevant laws and regulations to protect user privacy.

[0108] Corresponding to the intelligent comparison and selection system for the mechanized construction scheme of an overhead power transmission line project disclosed above, an embodiment of the present invention further discloses an intelligent comparison and selection method for the mechanized construction scheme of an overhead power transmission line project. The following describes in detail an intelligent comparison and selection method for the mechanized construction scheme of an overhead power transmission line project disclosed in an embodiment of the present invention in combination with the intelligent comparison and selection system for the mechanized construction scheme of an overhead power transmission line project described above.

[0109] Example 2

[0110] refer to Figure 2 The present invention discloses an intelligent comparison method for mechanized construction schemes of overhead power transmission line projects, the method comprising: S1, obtaining the construction data required for the overhead power transmission line project and establishing a mechanized construction scheme database for the overhead power transmission line project; S2, using basic dimensions and evaluation indicators to construct a multi-factor evaluation system and obtain a construction project that needs to be compared and at least two schemes to be evaluated; S3, obtaining the influencing factors of each scheme on different indicators and establishing a decision matrix, performing data standardization processing on the decision matrix, and obtaining a standardized decision matrix; S4, determining the indicator weight of each indicator and using the indicator weight calculation to obtain a weighted standardized decision matrix, and obtaining an ideal solution and a negative ideal solution at the same time; S5, calculating the distance between each scheme to be evaluated and the ideal solution and the negative ideal solution and the relative closeness of each scheme in turn; S6, extracting the closeness value from all the relative closeness and sorting the closeness values ​​in order from large to small, selecting the relative closeness with the largest value and obtaining the corresponding scheme, the corresponding scheme is the optimal construction scheme, and generating a detailed analysis report.

[0111] Furthermore, the construction data required for the overhead power transmission line project is obtained and a mechanized construction plan database for the overhead power transmission line project is established, including: the mechanized construction plan database for the overhead power transmission line project includes: construction environment data, construction plan design, construction equipment information, construction material information, construction personnel information, construction schedule and construction cost management.

[0112] Among them, construction environment data includes topography, geological conditions, climate characteristics, traffic conditions, etc.; construction plan design includes construction methods, construction processes, construction technology, construction organization design, etc.; construction equipment information includes the type, specifications, performance parameters, operating requirements, number of shifts, etc. of required mechanical equipment; construction material information includes the type, specifications, quantity, etc. of required materials; construction personnel information includes the qualifications, quantity, working hours, etc. of construction personnel; construction progress plan includes construction progress schedule, key nodes, etc.; construction cost management includes planned cost, actual cost, etc.

[0113] By continuously accumulating project samples and building up construction environment data, project participants such as construction management units and construction units can better plan and manage projects and ensure the smooth progress of the construction process while controlling costs and ensuring project quality.

[0114] For example, taking the crane tower assembly as an example, the database at this time should include:

[0115] (1) Construction environment data

[0116] Topography: Mountainous area, with an average slope of 20 degrees and large terrain fluctuations;

[0117] Geological conditions: rock base, no groundwater, high soil bearing capacity;

[0118] Climate characteristics: average annual temperature 15℃, annual precipitation 800mm, wind speed less than 6m / s;

[0119] Traffic conditions: The existing roads can reach the vicinity of the tower, and a temporary road connection needs to be built;

[0120] (2) Construction plan design

[0121] Construction method: Use a large crane to hoist the tower materials;

[0122] Construction process: tower base inspection and acceptance, crane entry and positioning, tower material transportation and placement, tower material hoisting and positioning, bolt tightening and inspection;

[0123] Construction technology: the steps of crane hoisting, including bundling, lifting and positioning of tower materials;

[0124] Construction organization design: determine the responsibilities of crane operators, commanders, safety supervisors, etc.;

[0125] (3) Construction equipment information

[0126] Mechanical equipment type: 300-ton all-terrain crane;

[0127] Specifications and performance parameters: Maximum lifting capacity 300 tons, maximum working radius 50 meters;

[0128] Operation requirements: Professional operators are required to comply with the operating procedures;

[0129] Number of shifts: Two cranes are estimated to be needed based on the project volume;

[0130] (4) Construction material information

[0131] Material types: tower materials, bolts, gaskets, etc.

[0132] Specifications: Determined according to tower design;

[0133] Quantity: Calculated based on tower type and engineering quantity;

[0134] (5) Construction personnel information

[0135] Qualifications: Crane operators must hold a special operations operator certificate;

[0136] Quantity: Each crane is equipped with 1 operator, 2 commanders and 1 safety supervisor;

[0137] Working hours: 8 hours per day, expected to work continuously for 5 days;

[0138] (6) Construction schedule

[0139] Construction schedule: It is expected that all tower materials will be hoisted within 5 days;

[0140] Key nodes: Crane enters site, tower material hoisting is completed;

[0141] (7) Construction cost management

[0142] Planned cost: including crane rental fee, labor cost, material cost, etc.;

[0143] Actual cost: record the actual expenses incurred and compare and analyze them with the planned costs.

[0144] Furthermore, a multi-factor evaluation system is constructed using basic dimensions and evaluation indicators, and a construction project that requires scheme comparison and at least two schemes to be evaluated are obtained, including: the basic dimensions include: construction period, construction efficiency, cost control, safety risk, terrain adaptability, geological conditions, environmental impact, technological advancement, social impact and sustainability.

[0145] The basic dimensions and corresponding evaluation indicators for each basic dimension include:

[0146] (1) Schedule: Indicator 1: Total construction days; Indicator 2: Critical path duration; Indicator 3: Flexibility and adjustability of construction schedule; Indicator 4: Sensitivity to external factors (such as weather).

[0147] (2) Construction efficiency: Indicator 1: The amount of work completed per unit time; Indicator 2: The utilization rate of construction equipment; Indicator 3: The labor productivity of construction personnel; Indicator 4: The smoothness of the construction process and bottleneck analysis.

[0148] (3) Cost Control; Indicator 1: Probability of completing construction within budget; Indicator 2: Accuracy of estimated material and labor costs; Indicator 3: Risk of cost overruns during construction; Indicator 4: Effectiveness of cost control measures;

[0149] (4) Safety Risk: Indicator 1: accident rate; Indicator 2: completeness of safety measures; Indicator 3: response time and effectiveness of emergency plans; Indicator 4: safety training and awareness of construction personnel;

[0150] (5) Topographical Adaptability: Index 1: Construction adaptability to different terrains; Index 2: Response speed of construction equipment to terrain changes; Index 3: Strategy for avoiding terrain restrictions in construction plans; Index 4: Difficulty in building temporary roads and construction platforms;

[0151] (6) Geological Conditions: Indicator 1: The impact of geological conditions on construction; Indicator 2: Assessment and response to geological risks in the construction plan; Indicator 3: The need and cost of foundation treatment and reinforcement; Indicator 4: Strategies for responding to changes in geological conditions during construction;

[0152] (7) Environmental Impact: Indicator 1: the extent of damage to the local ecological environment caused by construction; Indicator 2: the treatment of construction noise, dust and waste; Indicator 3: environmental protection measures in the construction plan; Indicator 4: ecological restoration plan and effect after construction;

[0153] (8) Technological Advancement: Indicator 1: Whether the mechanized construction technology used is industry-leading; Indicator 2: The technical maturity and innovation of the construction equipment; Indicator 3: The ability to solve technical problems during the construction process;

[0154] (9) Social Impact: Indicator 1: Impact of construction on local communities; Indicator 2: Degree of disruption to residents’ lives during construction; Indicator 3: Contribution of the construction plan to local economic development;

[0155] (10) Sustainability: Indicator 1: Long-term sustainability of the construction plan; Indicator 2: Environmental friendliness of construction materials and methods; Indicator 3: Energy and resource consumption during the construction process.

[0156] Furthermore, the influencing factors of each scheme on different indicators are obtained and a decision matrix is ​​established, and the decision matrix is ​​subjected to data standardization processing to obtain a standardized decision matrix, including:

[0157] The expression of the decision matrix is:

[0158] R=[r ij ]

[0159] Among them, R is the decision matrix, r ij represents the quantitative value of the i-th scheme on the j-th indicator, where i = 1, 2, ..., m, m is the number of schemes, j = 1, 2, ..., n, n is the number of indicators;

[0160] Since the dimensions and numerical ranges of various indicators may be different, data standardization is required. The expression of the standardized decision matrix is:

[0161]

[0162] Among them, r' ij is the standardized decision matrix, r ij It represents the quantitative value of the i-th scheme on the j-th indicator, and m is the number of schemes.

[0163] Furthermore, the indicator weights of each indicator are determined and the weighted standardized decision matrix is ​​obtained by using the indicator weights to obtain an ideal solution and a negative ideal solution, including:

[0164] The expression of the weight vector is:

[0165] W=[w1,w2,…,w n ]

[0166] W is the weight vector, w n is the indicator weight of the nth indicator;

[0167] Among them, the indicator weights can be determined based on expert scoring, analytic hierarchy process (AHP) or other methods. The expression of the weighted standardized decision matrix is:

[0168] C=[c ij ]

[0169] c ij =w j ×r' ij

[0170] Among them, C is the weighted standardized decision matrix, c ij is the weighted quantitative value of the i-th solution on the j-th indicator, w j is the index weight of the jth index, r' ij is a standardized decision matrix;

[0171] The expression of the ideal solution is:

[0172] A * ={max(c ij |j∈J),min(c ij |j∈J')}

[0173] Among them, A * is an ideal solution, set J is a benefit-type indicator, and set J' is a cost-type indicator;

[0174] The expression of the negative ideal solution is:

[0175] A - ={min(c ij |j∈J), max(c ij |j∈J')}

[0176] Among them, A - is a negative ideal solution.

[0177] Furthermore, the distance between each solution to be evaluated and the ideal solution and the negative ideal solution and the relative closeness of each solution are calculated in turn, including:

[0178] Calculate the difference between the solution i to be evaluated and the ideal solution A * and negative ideal solution A - Distance and The expression is:

[0179]

[0180] in, is the solution i to be evaluated and the ideal solution A * The distance is the solution i to be evaluated and the negative ideal solution A - The distance, c ij is the weighted quantitative value of the i-th scheme on the j-th indicator, is the value of the jth index in the ideal solution, is the value of the jth index in the negative ideal solution;

[0181] Among them, if the jth indicator is a benefit indicator (i.e. the larger the better), then is the maximum value of all solutions on this indicator. is the minimum value of all solutions on this indicator; if it is a cost-type indicator (i.e. the smaller the better), then is the minimum value of all solutions on this indicator. It is the maximum value of all solutions on this indicator;

[0182] The expression of relative closeness is:

[0183]

[0184] Among them, ρ i For relative closeness, is the solution i to be evaluated and the ideal solution A * The distance is the solution i to be evaluated and the negative ideal solution A - distance.

[0185] Furthermore, the closeness values ​​are extracted from all the relative closeness values ​​and sorted in descending order, the relative closeness value with the largest value is selected and the corresponding scheme is obtained, which is the optimal construction scheme, and a detailed analysis report is generated, including:

[0186] Assign each value to the concept of cloud model and standardize each decision matrix r' ij As a cloud droplet, each standardized decision matrix r' is transformed into ij The cloud droplet expectation, weight, and quantity parameters are converted and S3 to S6 are repeated to establish a cloud-TOPSIS quantitative model, and the cloud-TOPSIS quantitative model is used to rank the schemes to be evaluated, obtain the optimal construction scheme, and generate a detailed analysis report.

[0187] Cloud-TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is a multi-criteria decision-making algorithm based on ideal points and negative ideal points, which is suitable for quantifying and ranking multiple solutions.

[0188] According to the closeness ρ i All solutions are sorted. The solution with a greater degree of closeness is closer to the ideal solution, so it is ranked higher.

[0189] The cloud model is a mathematical model used to deal with uncertainty. It uses cloud droplets to represent numerical uncertainty. Each cloud droplet has an expectation (E x ), weight (W i ) and quantity (H e ) are three parameters used to quantify the uncertainty of the value. In Cloud-TOPSIS, each r'ij It is regarded as a cloud droplet and converted into the E of the cloud droplet through the numerical conversion method. x , W i and H e .

[0190] Furthermore, each standardized decision matrix r' is transformed into ij Converted into the expected, weighted, and quantity parameters of cloud droplets, including:

[0191] The expected expression converted to cloud droplets is:

[0192]

[0193] Among them, E x is the expectation, K is the total number of cloud droplets, r' ijk is the value of the kth cloud droplet;

[0194] The expression converted to the weight of cloud droplets is:

[0195]

[0196] Among them, W i is the weight, E x is the expectation, K is the total number of cloud droplets, r' ijk is the value of the kth cloud droplet;

[0197] The expression converted to the number parameter of cloud droplets is:

[0198]

[0199] Among them, H e is the quantity parameter, and K is the total number of cloud droplets.

[0200] Example 3

[0201] For example, there is a construction project at this time: the G40 tower is located in the suburbs outside the development zone. A construction access road can be built to the tower using the village road. The traffic conditions are general. The tower type is 1D2-SZK-42 with a total height of 54.6m. Because the longest main arm + auxiliary arm length of the FOY-50 crane is 55.8m, considering that when assembling the tower, the vertical distance after deducting the distance between the crane arm and the tower top when the crane arm is at its maximum extension within the construction radius can be greater than the total height of the tower, the FQY-50 crane cannot complete the assembly of the entire tower.

[0202] There are four ways to assemble a tower:

[0203] ①Use suspended arm + motorized capstan to assemble the entire tower;

[0204] ② Wheeled crane + suspended boom + motorized capstan for assembly, that is, first use FOY-50 crane to assemble to 46.8m, and then use suspended boom to assemble the rest;

[0205] ③FQY-70 crane is used to assemble the entire tower;

[0206] ④ The crawler crane is used to assemble the entire tower.

[0207] After preliminary comparison, it can be seen that ② has the lowest cost, ① construction method takes the longest time, ③ has the best personnel, and ④ has the highest transportation cost.

[0208] Four tower assembly methods are used as alternatives in the embodiments of the present invention:

[0209] (1) Use suspended arm + motorized winch to assemble the entire tower

[0210] Features: Suitable for assembling towers of all heights, no large crane is required.

[0211] Advantages: It has strong adaptability to terrain and can be constructed in narrow sites or sites where large machinery cannot be used.

[0212] Disadvantages: Construction time may be longer and require more manual labor.

[0213] (2) Assembly using wheeled crane + suspended boom + motorized capstan

[0214] Features: It combines the advantages of crane and suspension boom. First, use FQY-50 crane to assemble part of the structure, and then use suspension boom to complete the rest.

[0215] Advantages: High construction efficiency and reduced dependence on large cranes.

[0216] Disadvantages: Two types of equipment are required to work together, which increases the complexity of construction.

[0217] (3) Full tower assembly with FQY-70 crane

[0218] Features: Use a larger crane to assemble the entire tower.

[0219] Advantages: fast construction speed, suitable for large-scale construction operations.

[0220] Disadvantages: Higher cost, requires renting or purchasing a large crane.

[0221] (4) Crawler crane for full tower assembly

[0222] Features: Suitable for situations with complex terrain and requiring greater lifting capacity.

[0223] Advantages: High mobility and can operate in a variety of terrains.

[0224] Disadvantages: Higher cost, crawler cranes are slow to move and require additional transportation.

[0225] First, input the relevant data of each construction scheme into the system, including construction time, cost, labor required, equipment type, etc. Set the weight of each indicator according to the project requirements. For example, if the project is cost-sensitive, the weight of the cost indicator can be increased. Based on the input data and the set weights, use Cloud-TOPSIS to conduct quantitative evaluation. Display the evaluation results of each scheme, including their relative advantages and disadvantages. Based on the evaluation results, select the best scheme.

[0226] The embodiment of the present invention also provides risk assessment, such as the risk of delay caused by the slow movement of crawler cranes. It provides detailed decision conclusions, including the evaluation score, recommendation reasons and potential risks of each plan, to support project managers in making final decisions. Project managers provide feedback based on the actual construction situation, and the system learns and optimizes based on the feedback to improve the accuracy of future comparisons.

[0227] Application results:

[0228] The closeness of solution (1) is 0.72, the closeness of solution (2) is 0.85, the closeness of solution (3) is 0.65, and the closeness of solution (4) is 0.75.

[0229] According to the proximity value, solution (2) has the highest proximity, so it can be recommended as the optimal solution, that is, using a wheeled crane + suspended boom + motorized capstan for assembly. First, use a FOY-50 crane to assemble to 46.8m, and then use a suspended boom + motorized capstan to assemble the rest.

[0230] Although the present invention has been described in detail above by general description and specific embodiments, it is obvious to those skilled in the art that some modifications or improvements can be made to the present invention. Therefore, these modifications or improvements made without departing from the spirit of the present invention all belong to the scope of protection claimed by the present invention.

Claims

1. An intelligent comparison method for mechanized construction schemes of overhead power transmission line projects, characterized in that: The method comprises: S1. Obtain the construction data required for the overhead power transmission line project and establish a mechanized construction plan database for the overhead power transmission line project; S2. Use basic dimensions and evaluation indicators to construct a multi-factor evaluation system and obtain a construction project that needs to be compared and at least two schemes to be evaluated; S3, obtaining the influencing factors of each scheme on different indicators and establishing a decision matrix, performing data standardization processing on the decision matrix to obtain a standardized decision matrix; S4, determining the indicator weights of each indicator and using the indicator weights to calculate and obtain a weighted standardized decision matrix, and simultaneously obtaining an ideal solution and a negative ideal solution; S5, sequentially calculating the distance between each of the schemes to be evaluated and the ideal solution and the negative ideal solution and the relative closeness of each scheme; S6. Extract the closeness value from all relative closeness and sort the closeness values ​​in descending order, select the relative closeness with the largest value and obtain the corresponding plan, which is the optimal construction plan, and generate a detailed analysis report.

2. The intelligent comparison and selection method for the mechanized construction scheme of an overhead power transmission line project according to claim 1, characterized in that: Obtain the construction data required for overhead power transmission line projects and establish a database for mechanized construction plans for overhead power transmission line projects, including: The overhead power transmission line engineering mechanized construction plan database includes: construction environment data, construction plan design, construction equipment information, construction material information, construction personnel information, construction progress plan and construction cost management.

3. The intelligent comparison and selection method for the mechanized construction scheme of an overhead power transmission line project according to claim 2, characterized in that: Use basic dimensions and evaluation indicators to build a multi-factor evaluation system and obtain a construction project that needs to be compared and at least two schemes to be evaluated, including: The basic dimensions include: construction period, construction efficiency, cost control, safety risks, terrain adaptability, geological conditions, environmental impact, technological advancement, social impact and sustainability.

4. The intelligent comparison and selection method for the mechanized construction scheme of an overhead power transmission line project according to claim 3, characterized in that: Obtain the influencing factors of each scheme on different indicators and establish a decision matrix, perform data standardization on the decision matrix, and obtain a standardized decision matrix, including: The expression of the decision matrix is: R＝[r ij ] Among them, R is the decision matrix, r ij represents the quantitative value of the ith scheme on the ith indicator, where i = 1, 2, ..., m, m is the number of schemes, j = 1, 2, ..., n, n is the number of indicators; The expression of the standardized decision matrix is: Among them, r′ ij is the standardized decision matrix, r ij It represents the quantitative value of the i-th scheme on the j-th indicator, and m is the number of schemes.

5. The intelligent comparison and selection method for the mechanized construction scheme of an overhead power transmission line project according to claim 4, characterized in that: Determine the indicator weights of each indicator and use the indicator weights to calculate and obtain a weighted standardized decision matrix, and simultaneously obtain an ideal solution and a negative ideal solution, including: The expression of the weight vector is: W=[w1,w2,...,w n ] W is the weight vector, w n is the indicator weight of the nth indicator; The expression of the weighted standardized decision matrix is: C=[c ij ] c ij =w j ×r′ ij Among them, C is the weighted standardized decision matrix, c ij is the weighted quantitative value of the i-th solution on the j-th indicator, w j is the index weight of the jth index, r′ ij is a standardized decision matrix; The expression of the ideal solution is: A * ={max(c ij |j∈J),min(c ij |j∈J′)} Among them, A * is an ideal solution, set J is a benefit-type indicator, and set J′ is a cost-type indicator; The expression of the negative ideal solution is: A - ={min(c ij |j∈J),max(c ij |j∈J′)} Among them, A- is the negative ideal solution.

6. The intelligent comparison and selection method for the mechanized construction scheme of an overhead power transmission line project according to claim 5, characterized in that: The distance between each solution to be evaluated and the ideal solution and the negative ideal solution and the relative closeness of each solution are calculated in turn, including: Calculate the distance between the solution i to be evaluated and the ideal solution A* and the negative ideal solution A- and The expression is: in, is the distance between the evaluated solution i and the ideal solution A*; is the solution i to be evaluated and the negative ideal solution A - The distance; c ij is the weighted quantitative value of the i-th scheme on the j-th indicator; is the value of the jth index in the ideal solution, is the value of the jth index in the negative ideal solution; The expression of relative closeness is: Among them, pi is the relative closeness, is the distance between the solution i to be evaluated and the ideal solution A*, is the distance between the scheme i to be evaluated and the negative ideal solution A-.

7. The intelligent comparison and selection method for the mechanized construction scheme of an overhead power transmission line project according to claim 6, characterized in that: Extract the closeness value from all relative closeness and sort the closeness values ​​in descending order, select the relative closeness with the largest value and obtain the corresponding plan, which is the optimal construction plan, and generate a detailed analysis report, including: Assign each value to the concept of cloud model and standardize each decision matrix r′ ij As a cloud droplet, each standardized decision matrix r′ is transformed into ij The cloud droplet expectation, weight, and quantity parameters are converted and S3 to S6 are repeated to establish a cloud-TOPSIS quantitative model, and the cloud-TOPSIS quantitative model is used to rank the schemes to be evaluated, obtain the optimal construction scheme, and generate a detailed analysis report.

8. The intelligent comparison and selection method for the mechanized construction scheme of an overhead power transmission line project according to claim 7, characterized in that: Each standardized decision matrix r′ is transformed into ij Converted into the expected, weighted, and quantity parameters of cloud droplets, including: The expected expression converted to cloud droplets is: Among them, E x is the expectation, K is the total number of cloud droplets, r' ijk is the value of the kth cloud droplet; The expression converted to the weight of cloud droplets is: Among them, W i is the weight, E x is the expectation, K is the total number of cloud droplets, r' ijk is the value of the kth cloud droplet; The expression converted to the number parameter of cloud droplets is: Among them, H e is the quantity parameter, and K is the total number of cloud droplets.

9. An intelligent comparison and selection system for mechanized construction schemes of overhead power transmission line projects, characterized in that: The system comprises: A data acquisition module is used to acquire the construction data required for overhead power transmission line projects and to establish a database for mechanized construction plans for processing power transmission line projects; A system construction module is used to construct a multi-factor evaluation system using basic dimensions and evaluation indicators and obtain a construction project that needs to be compared and at least two solutions to be evaluated; A decision matrix processing module is used to obtain the influencing factors of each scheme on different indicators and establish a decision matrix, perform data standardization processing on the decision matrix, and obtain a standardized decision matrix; A weight calculation module, used to determine the indicator weights of each indicator and use the indicator weights to calculate and obtain a weighted standardized decision matrix, and simultaneously obtain an ideal solution and a negative ideal solution; A closeness calculation module, used to sequentially calculate the distance between each solution to be evaluated and the ideal solution and the negative ideal solution and the relative closeness of each solution; The intelligent recommendation module is used to extract the proximity value from all relative proximity and sort the proximity values ​​in descending order, select the relative proximity with the largest value and obtain the corresponding plan, which is the optimal construction plan, and generate a detailed analysis report.

10. The intelligent comparison and selection system for mechanized construction schemes of overhead power transmission line engineering according to claim 9, characterized in that: The system further comprises: User interface, used for user authentication, input / upload of construction plan data, display of all construction plans, display of comparison results and detailed analysis reports; Data management module, used for data collection, data storage and data preprocessing; Decision analysis engine for defining indicators and setting weights; Risk assessment module for risk identification, risk quantification and risk control recommendations; Visual analysis module, used for data visualization and solution comparison; The report generation module is used to generate a detailed analysis report containing evaluation results, recommended solutions and analysis details.

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