Study Of Fpga-Based Edge Computing In Semiconductor Manufacturing Safety Management Application

This study is based on the LOPA and ISD strategies as the basis for safety management, and explores the edge computing solutions that are extended in response to the vigorous development of 5G and IoT in the future, resulting in excessive cloud computing load. This study mainly uses FPGA to combine AES algorithm to achieve the edge computing function based on the aforementioned LOPA and ISD strategies for safety management under big data. However, the results of this study found that the system established in this study can effectively reduce the personnel management error rate by more than 50% and reduce the cloud computing load by 30%. High-tech factory operation safety management has significant benefits and contributions.