Individual autonomous safety intelligence technology for radioactive material transportation—Multi-sensor fusion early warning technology based on evidence theory

Abstract

Abstract This paper briefly introduces the research project on individual autonomous security intelligence for radioactive materials using radar and microwave-infrared detectors to autonomously sense external threats during railroad transportation and achieve individual autonomous security intelligence. Due to the shortcomings of the single sensor with a false alarm, the project fuses the perception information of each sensor connected to the radar-infrared node to decide the level of danger warning and improve the level of individual autonomous security of radioactive materials. To further improve the accuracy and reduce the false alarm rate of individual autonomous hazard warnings, a reasonable basic probability assignment (BPA) is constructed for each sensor based on a fuzzy set and rough set according to the practical application, and the fusion of individual autonomous perception information is realized by combining Pearson correlation coefficient and D-S evidence theory. The experimental results show that the fused hazard warning accuracy is 91.72% and the false alarm rate is 8.28%, which indicates that individual autonomous safety intelligence can be effectively realized.