Open AccessThe Research of an On-demand Threaded Interrupt Technology of Serial Port Based on the Power Edge Smart Device
Author(s) -
Wenkui She,
Fan Yang,
Shuang Wang,
Yuanyu Li
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1828/1/012091
Subject(s) - interrupt , serial port , computer science , enhanced data rates for gsm evolution , power (physics) , voltage , port (circuit theory) , edge device , task (project management) , real time computing , embedded system , electrical engineering , engineering , cloud computing , computer hardware , serial communication , microcontroller , operating system , telecommunications , physics , systems engineering , quantum mechanics
At present, the common problems facing the low-voltage power distribution system lie in plenty of equipment and wide range of power distribution. In order to address these problems, the overall architecture of the cloud-pipe-side-end is introduced through the IoT system in electric power distribution, where the end device is connected to the low-voltage power distribution system via the serial bus of the edge device and carries on data collection and real-time edge computing. As the core node, the edge device is required to have excellent real-time capability of timely detection and real-time response to the fault of various low-voltage power distribution facilities. In consideration of this, this paper proposes an on-demand serial port interrupt threading design to ensure the real-time performance of an electrical edge smart system. According to the experimental results, as the number and load of serial port devices increase, the real-time task dispatching rate continues to decline until the transformation, and the impact on the real-time task dispatching rate is limited after the threaded interrupt. That is to say, the method is effective in ensuring the dispatching rate of real-time tasks for the edge smart terminals.