Intelligent prediction method for power transmission line engineering cost based on single-base tower

Abstract

The invention provides a single-base-tower-based intelligent prediction method for the construction cost of a power transmission line. The method comprises. The method comprises the following steps:.The method comprises the following steps: constructing an empirical parameter prediction model in combination with empirical parameters of a least square support vector machine model; optimizing parameters in the prediction model by using a particle swarm optimization algorithm to obtain a particle swarm optimization least square support vector machine prediction model; and taking the original data as an input variable, inputting the original data into the optimized vector machine prediction model, and training the vector machine prediction model to obtain a cost prediction value of the singlebase tower. According to the method provided by the invention, dimension reduction processing is carried out on indexes by utilizing a principal component analysis method; a particle swarm algorithmis innovatively introduced to perform parameter optimization on a least square support vector machine model to obtain optimal parameters, and the obtained principal component data is imported into anempirical parameter prediction model and an optimized parameter prediction model for training and prediction, so that the accuracy of cost prediction can be improved, and the refinement level of costmanagement is improved.

Description

technical field [0001] The application relates to the technical field of electric power engineering construction, in particular to an intelligent prediction method for transmission line project cost based on a single base tower. Background technique [0002] In recent years, with the continuous expansion of the investment scale and construction scale of my country's power grid construction projects, strengthening the cost management of power grid projects and realizing lean management of power grid investment has become an important research topic in the development process of power grid enterprises. Through the effective calculation of the actual cost of each base tower, the construction of a framework system and pricing method for single base tower model pricing can improve the cost control level of power grid construction projects such as feasibility study estimates, initial design estimates, construction drawing budgets, and completion settlements, and improve power grids...

AI Technical Summary

Problems solved by technology

[0005] This application provides an intelligent prediction method for transmission line engineering cost based on single-base towers, which is used to solve the problems of unscientific and low prediction accuracy in existing prediction methods

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