Method for predicting air inlet temperature of cabinet based on reinforcement learning model
A technology of air inlet temperature and reinforcement learning, applied in the field of artificial intelligence, can solve problems such as time-consuming and costly, and cannot represent the data of air inlet air temperature
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[0026] 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.
[0027] see Figure 1-Figure 3 Shown, a kind of technical scheme that the present invention provides:
[0028] A method for predicting the inlet air temperature of a cabinet based on a reinforcement learning model, the method comprising the following steps:
[0029] Step 1: Collect the actual temperature data on the surface of the cabinet through the thermal imaging device, and collect the actual air inlet temperature data of the corresponding cabinet through ...
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