In this paper, we propose a remote monitoring system for field instruments in plant operation using SMEc, which combines a camera with deep learning. By the needle position estimation logic, a recognition rate of 99% or more could be obtained within the target accuracy of 1 scale error. It was also confirmed from the response evaluation test that the dynamic behavior had sufficient responsiveness. Therefore, we believe that the introduction of SMEc has given us the prospect of realizing a system capable of ...
英字タイトル:
Development of Site Parameter Monitoring System with Edge Computer