A method for recommending concrete raw materials and mix proportions based on big data

Abstract

The invention discloses a method for recommending concrete raw materials and mix ratios based on big data, including: S1, establishing a historical database of relevant concrete data; S2, standardizing the performance parameter data of various concrete raw materials in S1; S3, utilizing The hybrid learner establishes a prediction model for various performance parameters of concrete; S4, screens out qualified suppliers according to construction requirements, and lists the combination of each raw material supplier; S5, uses the prediction model to establish an exhaustive prediction database; S6. Taking various performance parameters of concrete as boundary conditions, select the supplier with the lowest total cost of each raw material and the combination data of concrete mix ratio in the exhaustive prediction database, and recommend it to the concrete construction unit. The invention combines various regression algorithms and exhaustive prediction, not only recommends the most economical mix ratio meeting the performance requirements of concrete, but also recommends suppliers of various raw materials, and the recommendation result is more comprehensive.

Description

technical field [0001] The invention relates to the field of concrete construction. More specifically, the present invention relates to a method for recommending concrete raw materials and mix ratios based on big data. Background technique [0002] Concrete is the most basic material in the main structure of civil engineering. Its quality and dosage are crucial to the quality control and cost control of the project. Among them, the selection of raw materials and the design of the mix ratio are the key factors affecting the quality and cost of finished concrete. The former are coupled with each other. Reasonable and economical concrete mix design is based on raw materials. Concrete raw materials are the basis for realizing product quality and reflecting economic benefits. In the raw material supply link, due to the lack of information resources, it takes a lot of time to find raw material resources after the project enters the site, and it is impossible to really choose the ...

AI Technical Summary

Problems solved by technology

[0003] At present, in related fields, intelligent optimization and machine learning methods have been used to use the historical data of concrete production tests to realize the design of concrete raw material mix ratio and concrete performance prediction, but the research on concrete performance prediction does not consider the design of mix ratio and the material manufacturers Optimal selection, and the research on the mix ratio design of raw materials usually needs to be based on the performance of the selected raw materials in advance, and in actual construction, the cost of concrete production is not only related to the mix ratio, but also closely related to the supply price of raw materials

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