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Concrete engineering quantity index estimation method based on machine learning

A machine learning and engineering quantity technology, applied in the field of engineering cost, can solve problems such as low efficiency, poor timeliness, and impossibility of index estimation work, so as to improve efficiency, reduce repetitive work, and shorten calculation time.

Inactive Publication Date: 2022-04-12
JIANGSU CHINA NUCLEAR IND HUAWEI ENGDESIGN & RES
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Problems solved by technology

This forecasting method has poor timeliness and low efficiency. When forecasting, the index estimation work cannot be carried out without historical project reference.

Method used

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  • Concrete engineering quantity index estimation method based on machine learning
  • Concrete engineering quantity index estimation method based on machine learning
  • Concrete engineering quantity index estimation method based on machine learning

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Embodiment Construction

[0042] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0043] Such as figure 1 As shown, a method for estimating concrete engineering quantity indicators based on machine learning includes the following steps:

[0044] S1 Construct the concrete engineering quantity index estimation system according to the project profile factors that affect the concrete engineering quantity index, and collect the original data of the individual concrete engineering quantity index estimation system in the historical project engineering.

[0045] Further, the concrete engineering quantity index estimation system includes the general situation of the single project and the concrete engineering quantity index.

[0046] In this embodiment, the overview of a single project includes: aboveground part / underground part, busines...

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Abstract

The invention provides a concrete engineering quantity index estimation method based on machine learning, and relates to the technical field of engineering cost. According to the method, a machine learning technology is applied in the aspect of engineering cost index estimation, a mathematical model taking quantitative data of built engineering characteristics as sample data is constructed, and the model is trained in combination with real data, so that prediction and analysis of concrete engineering quantity indexes are realized; according to the method, the concrete work amount of a new project can be quickly, efficiently and intelligently predicted, the content index calculation time is shortened, the efficiency is improved, and unnecessary repeated work is reduced.

Description

technical field [0001] The invention relates to the technical field of engineering cost, in particular to a method for estimating concrete engineering quantity indicators based on machine learning. Background technique [0002] As the real estate industry slows down and the construction market becomes more competitive, the deadlines for tenders and quotations are getting shorter and shorter. The estimation of concrete engineering quantity index can provide an important basis for enterprise budget quotation, and its accuracy will directly affect the investment decision-making of enterprises. How to quickly and efficiently estimate the quantity index of concrete is particularly important for construction companies to improve their technical level and core competitiveness. [0003] The traditional concrete engineering quantity index prediction is to use human experience to estimate through project similarity matching, that is, select the engineering factors of the new project,...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/08G06K9/62G06N3/04G06N3/08G06N20/10
Inventor 刘静刘在田
Owner JIANGSU CHINA NUCLEAR IND HUAWEI ENGDESIGN & RES
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