Power Internet of Things Link Tracking Method Based on Dynamic Sampling Strategy
Shang Wu, Xiaoyu Yin, Dongbo Yu, Shuai Gong, Hang Cheng · 2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) · 2022
The sampling strategy of the distributed link tracking system or framework adopted by the existing power Internet of Things has the problem of too much collection and tracking that does not help the normal execution of tasks such as fault analysis. This paper proposes a link tracking method based on a dynamic sampling strategy, The two data structures of sampling strategy tree and execution trajectory graph solve the problem of automatic adjustment of tracking sampling rate and how to quickly and accurately find the service that needs to adjust the tracking sampling rate, and increase the proportion of abnormal execution tracking through the cooperation of the two The experimental results show that the method in this paper effectively increases the proportion of abnormal execution tracking in any time period.