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Infrastructure substation project cost prediction method based on neural network intelligent algorithm

An intelligent algorithm and neural network technology, applied in the field of cost forecasting of infrastructure substation projects based on neural network intelligent algorithm, can solve problems such as waste of enterprise data resources, and achieve the effect of improving analysis efficiency and level, fast operation efficiency and more investment.

Pending Publication Date: 2020-04-10
STATE GRID HUBEI ELECTRIC POWER COMPANY +2
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Problems solved by technology

However, these data are simply stored in the database, but are not well utilized and applied to the construction of new power transmission projects, resulting in a waste of corporate data resources

Method used

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  • Infrastructure substation project cost prediction method based on neural network intelligent algorithm
  • Infrastructure substation project cost prediction method based on neural network intelligent algorithm
  • Infrastructure substation project cost prediction method based on neural network intelligent algorithm

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Embodiment Construction

[0039] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments to facilitate a clear understanding of the present invention, but they do not limit the present invention.

[0040] Such as figure 1 As shown, this specific embodiment 1 provides a method for predicting the cost of an infrastructure substation project based on a neural network intelligent algorithm, which specifically includes the following steps:

[0041] 1) Sample collection

[0042] Focus on the investigation of 110kV and above substation projects (new stations, expansion stations, expansion intervals and other individual projects) power grid infrastructure projects completed and put into operation from 2016 to 2018. Sort out business data such as progress, feasibility study, preliminary design, settlement, final account, and capital transfer of infrastructure projects, determine the source of the above data, check the integrity and ...

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Abstract

The invention provides an infrastructure substation project cost prediction method based on a neural network intelligent algorithm. The method is characterized by comprising the following steps of: collecting existing power transmission and transformation project final settlement data as a sample, preprocessing the sample data to form a data set, screening out a key factor set from an original factor library of the data set for further analysis, extracting feature parameters, and constructing a cost prediction model according to the feature parameters of a database, preprocessing the power transmission and transformation project data to be predicted, extracting characteristic parameters, and substituting the characteristic parameters into the cost prediction model to obtain the project cost. The accuracy and the rationality of investment plan arrangement are ensured, the company power grid asset transfer rate is improved, and important support is provided for company power transmissionand distribution price stability.

Description

technical field [0001] The invention relates to the field of project cost prediction of 110kV and above substation projects, in particular to a cost prediction method for infrastructure substation projects based on a neural network intelligent algorithm. Background technique [0002] In foreign countries, especially in Europe and the United States, a series of developed countries have started research on cost forecasting earlier, and the methods used are relatively traditional and classic. The research on the cost of engineering projects originated in the United Kingdom, and the British government with the background of the Royal Society of Surveyors proposed the construction cost information service system. [0003] Since the 1990s, with the development of computers, artificial intelligence technologies such as genetic algorithms and artificial neural networks have been widely used in establishing engineering cost estimation models. Expert system is also a kind of artifici...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06Q50/06G06Q10/06G06N3/02
CPCG06Q30/0206G06Q50/06G06Q10/067G06N3/02Y04S10/50Y04S50/14
Inventor 周明卢生炜武强李安马莉金莎明月孙利平周秋鹏王思聪桑子夏黄家祺王姝杨东俊方仍存赵红生许维明谢元俊李俊卿唐建祝玉章彭云陈东闫振邱辉凌熊建武张婷秦博王欢林
Owner STATE GRID HUBEI ELECTRIC POWER COMPANY
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