Design and analysis of data-driven intelligent control systems for deicing and snow-melting of extremely cold areas

Aiming at the problem of deicing and snow-melting for extremely cold areas, a novel method is proposed to solve the problem. Firstly, the preliminaries for deicing and snow-melting are introduced based on the principle of conservation of energy; secondly, the temperature setting model is established for the situation of completely deicing and snow-melting; thirdly, combining with the real-time data obtained by sensors on the bridge desk and intelligent control theory, a newly environmental friendly automatic thermal control system for deicing and snow-melting is put forward; lastly, the system is installed on the Enshi Nanhe Daya Bridge in Hubei Province of China, and the actual tests reveal that the effective of the deicing and snow-melting is evident.