In the era of rapid development of big data technology,utilizing big data technology to address issues in flight fuel management holds positive implications for airlines in terms of fuel conservation and safety management. Given the current lack of depth in research on the application of big data technology in airline fuel management,the importance of optimizing airline fuel management and the limitations of existing fuel management strategies are addressed. An analysis is conducted on the characteristics of data in fuel management,along with the framework for constructing prediction management models. Furthermore,an exploration is undertaken into the optimization significance of data-driven prediction methods for fuel management tasks such as flight release refueling and flight operation monitoring. This paper aims to provide a reference for the utilization of big data technology in airlines.