F Company Transmission Line Engineering Cost Investment Estimation Model

With the development of market economy,the investment amount of power grid infrastructure is decreasing year by year.It is necessary to improve the ability of cost control of power grid infrastructure project.However,the estimated budget system of power quota issued by the national power quota station cannot meet the needs of the fine management of the existing power engineering infrastructure,relying on the historical data of the electric power infrastructure construction.Using mathematical model to construct intelligent model to solve the problem.In the past 30 years,the intelligent algorithms used in the project cost prediction of real estate and road and bridge projects are fuzzy mathematics estimation method,linear regression estimation method,grey theory estimation method and so on.But compared with other intelligent algorithms,the mathematical models and algorithms based on fuzzy mathematics and grey theory are relatively simple and easy to understand.That is because the fuzzy mathematics and grey theory mathematical model construction process requires relatively few variables,hypothetical conditions are also not many,and then can ignore the need to build more assumptions and factors in the system.But the characteristic of BP algorithm in neural network is low convergence and robustness generalization.This paper presents a data learning algorithm based on RBF neural network,which is applied to the cost evaluation of transmission line project.Firstly,the paper introduces the current situation of project cost management in power industry and the compilation process of project cost investment estimation of transmission line project,which highlights the existing problems of project cost investment estimation of transmission line project.Some responses at the present stage,and an analysis of such responses.Then collect the influence factors of the 220 kV transmission line project cost investment estimate,select the existing data analysis method to deal with the project cost investment estimation factors,Reducing the influence factors of redundant or small project cost investment estimation,finding out the main factors that affect the project cost estimation of transmission line project,and then using the main influence factors to carry out simulation and analysis on MATLAB platform.Choose a simple mathematical data analysis model,and then verify the validity and availability of the model according to the existing data.Finally,using this model to estimate the cost of the transmission line project,it can be applied to the investment estimation of the new construction project.It can also be used to bid and quote quickly in the bidding stage,and in other aspects,The cost officer can also use the model as a tool to calculate the traditional investment estimation system,and can also provide the efficiency of the examiner,save time and energy.At the same time,at the end of the article,the paper summarizes the full text,and looks forward to the further research direction...