Abstract: The core challenge in fire prevention and control for wind turbine generators lies in the real-time response to and precise intervention in the dynamic changes of fire incidents. Traditional fire protection systems mostly rely on fixed-threshold triggering mechanisms, which struggle to distinguish subtle early-stage fire variations, often resulting in either "over-protection" or "under-protection". This paper proposes a rate-of-change-based fire early warning technology that constructs models of the rate of change for key parameters such as temperature and smoke concentration, enabling the anticipation of fire development trends and dynamic regulation of fire protection systems. Research shows that the introduction of rate-of-change-based early warning technology enhances the sensitivity of fire response while reducing false alarms, providing a new technical approach for fire prevention and control in wind turbine generators.