In light of the crucial demands within the nuclear power industry for alleviating disaster risks related to thermal traps, this paper puts forward a multi-source collaborative monitoring scheme integrating “fixed-point surveillance and navigation”. This scheme is designed to monitor and quantitatively prognosticate the emergence of typical disaster-inducing organisms, with jellyfish being a prime example. Through the establishment of models for forecasting jellyfish movement trajectories and growth modalities, a comprehensive monitoring and early warning system for disaster substances triggered by thermal traps in nuclear power plants has been devised. This system facilitates the quantitative prediction of outbreak magnitudes of typical disaster causative agents, such as jellyfish, and is capable of forecasting the movement paths of weakly swimming organisms up to 72 h in advance. Presently, the research outcomes are being implemented in both operational and newly constructed domestic nuclear power plants. Notably, the particle migration model has been successfully applied at the Changjiang Nuclear Power Plant in Hainan Province to predict the trajectories of floating objects in the vicinity of the water intake.