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Construction engineering material price information data calculation method based on machine learning time sequence prediction algorithm

A time series prediction and machine learning technology, applied in machine learning, database design/maintenance, forecasting, etc., can solve the problems of insufficient analysis of material price factors, only considering environmental data, single reference factors, etc., to achieve strengthening material cost management, The effect of saving social resources and ensuring product quality

Pending Publication Date: 2022-01-28
昆明行列科技有限公司
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AI Technical Summary

Problems solved by technology

[0011] 1. This invention only takes into account the fact that it has the basis of the original data when predicting the price. If the predicted price has no historical data, how to deal with it? There is a lack of a processing method here
[0012] 2. Insufficient analysis of factors affecting material prices, only environmental data are considered
The relevant reference factors are relatively single, resulting in a corresponding deviation in the final accuracy

Method used

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  • Construction engineering material price information data calculation method based on machine learning time sequence prediction algorithm
  • Construction engineering material price information data calculation method based on machine learning time sequence prediction algorithm
  • Construction engineering material price information data calculation method based on machine learning time sequence prediction algorithm

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Embodiment Construction

[0059] The embodiments of the present application will be described in detail below with reference to the accompanying drawings and embodiments to solve technical problems and achieve technical effects.

[0060] Based on the above invention, the present invention breaks the dimension, the time of the retrospective and predicted historical data on the basis of the present invention, whether it is a long-term time, and the economic and social impact of historical changes. Analysis and related factors from the material itself, the present invention has a greater time dimension of the present invention, and more accurate.

[0061] In addition, for the singleness of the existing invention, the prediction, predicting price situation, the present invention establishes a unified model calculation for data with historical records, for the lack of historical data support, we prepare n sets of impact price factors Split The backtracking and predictive model, for the diversity of data We have...

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Abstract

The invention discloses a construction engineering material price information data calculation method based on a machine learning time sequence prediction algorithm, and the method is characterized in that the method comprises the following steps: S0, collecting and cleaning material price data through an existing standard material library, and forming a multi-dimensional material price database; S1, establishing a material composition data model by using a material price database; S2, establishing a material price historical data model; S3, establishing a material price influence factor analysis model; S4, establishing a material composition raw material price historical data model; S5, establishing a material composition raw material price fluctuation model; S6, establishing a material price reference verification mechanism; wherein the prices of future nodes and / or backtracking historical nodes of the target material are predicted through the database and / or the model in the above steps. The time dimension is broken through on the basis of the present invention, the time for backtracking and predicting the historical data has no upper limit, the time dimension is larger, and the accuracy is higher.

Description

Technical field [0001] The present invention relates to the technical field of construction industry decision analysis, and specific to a cost-effective information data calculation method based on machine learning timing prediction algorithm. Background technique [0002] In recent years, the construction industry has now become one of my country's pillar industry, and with the newness of artificial intelligence, whether it is from the own development of the construction industry, it is also from the requirements of the development of the times, artificial intelligence, machine learning and other technologies A wide range of applications in the construction industry, the combination of artificial intelligence and construction industry is the inevitable path of the construction industry to get rid of the traditional operational model to modern management and management. [0003] At present, there have been many applications in China to combine artificial intelligence into project...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/21G06F16/215G06F16/28G06N20/00G06Q10/04G06Q30/02G06Q30/06G06Q50/08
CPCG06F16/215G06F16/219G06F16/285G06Q10/04G06Q30/0206G06Q30/0611G06Q50/08G06N20/00
Inventor 丁岗黄轩李航王中玉孟沙潘俊熹
Owner 昆明行列科技有限公司
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