Mass concrete temperature control method based on intelligent learning
A mass concrete, intelligent learning technology, applied in temperature control using digital devices, temperature control, controllers with specific characteristics, etc. , data is not fully utilized, etc., to achieve the effect of improving the quality and efficiency of temperature control and reducing the risk of cracking
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[0048]The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0049] In this embodiment, the artificial intelligence algorithm is used to analyze and utilize the data collected by the mass concrete temperature control method. The Spark 2.0ML Pipeline machine learning process is used in the technical implementation to determine the characteristic fields (such as air temperature, concrete temperature, age and concrete thermodynamic parameters etc.), classification fields, decision tree regression analysis result values and...
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