Super-large shield section frozen soil body temperature characteristic optimization method based on Gaussian process machine learning and device thereof
A machine learning and Gaussian process technology, applied in earth-moving drilling, design optimization/simulation, mining equipment, etc., can solve the problems of large flowing water in sandy soil, waste of resources, poor economy, etc., to strengthen environmental protection and reduce resources The effect of waste and cost reduction
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[0023] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments, but these embodiments should not be construed as limiting the present invention.
[0024] figure 1 The described technical content has been described in detail in the background art, and will not be repeated here.
[0025] see figure 2 , the present invention is based on the Gaussian process machine learning method for optimizing the temperature characteristics of the super-large shield section frozen soil, including the following steps:
[0026] S1. Carry out the construction of freezing tubes and temperature measuring tubes, and implement freezing, and monitor the initial temperature values of 19 temperature measuring tubes;
[0027] S2. Implement active freezing, and collect the values of each measuring point multiple times;
[0028] S3, according to the temperature t monitored by the temperature measuring tubes of the existing 19 poi...
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