A method for evaluating communication equipment models in three-dimensional design of hydropower station projects

Abstract

The application discloses a method for evaluating a three-dimensional design communication equipment model of a hydropower station project, which comprises the following steps: S1, acquiring all parameters in a three-dimensional design process; S2, calculating a prediction curve based on a best envelope prediction applicability weight coefficient; S3, calculating the average use frequency of parameters in an observation period window; and S4, calculating the fitness of each parameter. The application solves the problems that the evaluation of the three-dimensional design communication equipment model is not clear in technical focus, is not clear in requirement grading, and is not accurate in score quantization.

Description

Technical Field

[0001] This invention relates to the field of three-dimensional design of hydropower station projects, and in particular to a method for evaluating communication equipment models in three-dimensional design of hydropower station projects. Background Technology

[0002] 3D design of hydropower stations is a three-dimensional simulation based on real-world scene data, widely used in the construction management, fault repair, and safety monitoring of power systems during operation and maintenance. Refining the 3D design review process for hydropower station projects is the future direction of this technology. By establishing a review index system, qualitative and quantitative evaluations of 3D design reviews can be achieved. This plays a crucial role in identifying problems in the 3D design of hydropower station equipment, improving the overall 3D design level, and promoting the in-depth application of 3D design technology in engineering construction.

[0003] Currently, in the 3D design review process of hydropower station projects, the scoring method is based on qualitative and quantitative scoring. However, the quantitative scoring uses a unified assessment of whether each of the three-level evaluation indicators meets the technical requirements, and the weight of each of the three-level evaluation indicators is evenly distributed. This results in problems such as unclear technical focus, unclear requirements grading, and inaccurate scoring quantification in the evaluation of 3D design communication equipment models. Summary of the Invention

[0004] The purpose of this invention is to overcome the above-mentioned shortcomings and provide a method for evaluating communication equipment models in three-dimensional design of hydropower station projects, so as to solve the problems mentioned in the background art.

[0005] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is: a method for evaluating communication equipment models in three-dimensional design of hydropower station projects, which includes the following steps:

[0006] S1. Obtain all parameters during the 3D design process;

[0007] S2. Calculate the prediction curve based on the prediction applicability weight coefficients of the optimal envelope;

[0008] S3. Calculate the average usage frequency of parameters within the fitness observation period window;

[0009] S4. Calculate the fitness of each parameter.

[0010] Preferably, the specific process of S1 is as follows:

[0011] Let N be the total number of parameters describing the three-dimensional design communication equipment model of a hydropower station project, and let P be the identifier of the i-th parameter. i (i = 1, ..., N), parameter P i The frequency of use is ki Parameter P i The number of times that can be visualized through the model is e. i The parameter set H used in the generated curve is the one with a higher frequency of use than the average. i There exists an irregular mapping P i →H i And called H i H is a parameter of strong correlation. i It contains n elements.

[0012] Preferably, the specific process of S2 is as follows:

[0013] Define applicability weight coefficients For parameter set P i Frequency of use k i Calculate the parameter ratio weights according to the formula. Define the function y = f(x) as passing through the point set (i, k). i If the set of linear functions is y = f(x), then the number of linear functions contained in the piecewise function is N-1. According to the principle of minimum tangency, we can integrate the set of linear functions to find the piecewise function curve y = f(x). l =f l (x).

[0014] Preferably, the specific process of S3 is as follows:

[0015] Calculate the parameter ratio weights according to the formula. Define the weights of strongly correlated parameters and other parameters as (Nn):n; define the average usage frequency of parameters within the fitness observation window as m, and calculate the average usage frequency of parameters within the fitness observation window according to the formula.

[0016] Preferably, the specific process of S4 is as follows:

[0017] Define applicability weight coefficients For the i-th parameter P in the parameter set i Its fitness is defined as F. i And calculate fitness according to the formula.

[0018] The beneficial effects of this invention are as follows: This invention solves the problems of unclear technical focus, unclear requirement classification, and inaccurate scoring quantification in the evaluation of 3D design communication equipment models. Compared with general technologies, this invention, based on fully considering data discrimination and data category classification, obtains all parameters in the 3D design process, calculates the prediction curve based on the prediction applicability weight coefficient of the optimal envelope, calculates the average usage frequency of parameters within the fitness observation period window, and calculates the fitness of each parameter. It clarifies the technical focus of the 3D design review process for hydropower station projects, making the parameter categories clear and the scoring quantification accurate. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the method flow of the present invention. Detailed Implementation

[0020] The present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments.

[0021] Example 1: As Figure 1 As shown, a method for evaluating communication equipment models in the three-dimensional design of hydropower station projects includes the following steps:

[0022] S1. Obtain all parameters during the 3D design process;

[0023] Let N be the total number of parameters describing the three-dimensional design communication equipment model of a hydropower station project, and let P be the identifier of the i-th parameter. i (i = 1, ..., N), parameter P i The frequency of use is k i Parameter P i The number of times that can be visualized through the model is e. i The parameter set H used in the generated curve is the one with a higher frequency of use than the average. i There exists an irregular mapping P i →H i And called H i H is a parameter of strong correlation. i It contains n elements.

[0024] S2. Calculate the prediction curve based on the prediction applicability weight coefficients of the optimal envelope;

[0025] Define applicability weight coefficients For parameter set P i Frequency of use k i Calculate the parameter ratio weights according to the formula. Define the function y = f(x) as passing through the point set (i, k). iIf the set of linear functions is y = f(x), then the number of linear functions contained in the piecewise function is N-1. According to the principle of minimum tangency, we can integrate the set of linear functions to find the piecewise function curve y = f(x). l =f l (x).

[0026] S3. Calculate the average usage frequency of parameters within the fitness observation period window;

[0027] Calculate the parameter ratio weights according to the formula. Define the weights of strongly correlated parameters and other parameters as (Nn):n; define the average usage frequency of parameters within the fitness observation window as m, and calculate the average usage frequency of parameters within the fitness observation window according to the formula.

[0028] S4. Calculate the fitness of each parameter.

[0029] Define applicability weight coefficients For the i-th parameter P in the parameter set i Its fitness is defined as F. i And calculate fitness according to the formula.

[0030] The above embodiments are merely preferred technical solutions of the present invention and should not be considered as limitations on the present invention. The scope of protection of the present invention should be defined as the technical solutions described in the claims, including equivalent substitutions of the technical features described in the claims. That is, equivalent substitutions and improvements within this scope are also within the scope of protection of the present invention.

Claims

1. A method for evaluating a communication device model of a three-dimensional design of a hydropower station project, characterized in that: It comprises the following steps: S1, acquiring all parameters of three-dimensional design, synchronously collecting the use frequency and visual performance times of each parameter, generating a parameter set with use frequency exceeding the average use frequency in the curve, and constituting a strong correlation parameter set; S2, defining the applicability weight coefficient, calculating the parameter matching weight according to the formula based on the parameter use frequency of S1, constructing a segmented first function passing through the parameter point set, and performing integral operation on the first function set according to the minimum tangent principle of the curve to obtain the segmented function curve; S3, defining the weight of strong correlation and non-strong correlation parameters, and calculating the average use frequency of parameters in the observation period window according to the formula; S4, calculating the fitness of each parameter according to the formula based on the applicability weight coefficient of S2 and the average use frequency of S3.

2. The method for evaluating a communication device model of a three-dimensional design of a hydropower station project according to claim 1, characterized in that: The specific process of S1 is as follows: Let the total number of parameters describing the three-dimensional design communication equipment model of the hydropower station project be . The i-th parameter is identified as ,parameter The frequency of use is ,parameter The number of times the model can be visualized is: The parameter set used in the generated curve is one that has a higher than average usage frequency. Irregular mapping exists and said For strongly correlated parameters, Include Each element.

3. The method for evaluating a communication device model of a three-dimensional design of a hydropower station project according to claim 2, characterized in that: The specific process of S2 is as follows: Definition of the applicability weight coefficient ; for the parameter set of the frequency of use , the parameter matching weight is calculated according to the formula ; define the function through the point set , which is a piecewise linear function , then the piecewise function contains the number of linear functions ; according to the minimum tangent principle of the curve, the integral operation is performed on the linear function set, and the piecewise function curve is obtained .

4. The method for evaluating a communication device model of a three-dimensional design of a hydropower station project according to claim 3, characterized in that: The specific process of S3 is as follows: The parameter matching weight is calculated according to the formula ; the strong correlation parameter and the weight of other parameters are defined as ; the average use frequency of the parameters in the fitness observation period window is defined as The average use frequency of the parameters in the fitness observation period window is calculated according to the formula .

5. The method for evaluating a communication device model of a three-dimensional design of a hydropower station project according to claim 4, characterized in that: The specific process of S4 is as follows: defining a fitness weight coefficient for the i-th parameter in the parameter set , defining its fitness as and calculating the fitness according to the formula .

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