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

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...

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

Images