Intelligent Fan System Based on Big Data and Artificial Intelligence

Abstract

Gearbox is an important component of doubly-fed wind turbines. The maintenance cost of replacing gearbox after serious fault is very high. If the damage of gearbox can be detected as soon as possible and timely maintenance is carried out, it is of great significance to guide the operation of field personnel and realize intelligent operation. This paper presents an intelligent fan system based on large data and artificial intelligence. This system introduces the modeling method of artificial intelligence big data technology. Through the integration and processing of multi-source heterogeneous data, the intelligent decision-making of fan operation system is formed. The decision-making is made by machine rather than by human, which improves the prediction accuracy of decision-making model, reduces the false alarm rate, improves the operation efficiency of fan, and brings real economic value to fan owners.