Research on Edge Computing Based on Fault Detection of Tobacco Making Equipment
WU Yue
LI Wenliang
XU Xiaoyuan
ZHAO Wenlong
Abstract：In response to the needs of digital transformation of cigarette manufacturing enterprises and the current situation of equipment maintenance management,an edge computing architecture suitable for cigarette manufacturing enterprises is improved.The architecture consists of data acquisition layer,communication layer,data storage layer,and application display layer,which is suitable for fast and low-cost transformation of industrial production sites.On the basis of the new architecture,a nonlinear feature extraction algorithm is deployed at the edge for real-time monitoring of equipment status and fault detection.In the application,in response to the problem of high false alarm rate caused by various interference factors in actual production,a determination rule for equipment fault detection is proposed to achieve a balance between detection rate and false alarm rate in use.
Keywords：edge computingfault detectiondata-drivendetection model
Publication Date：2025-10-20
Online Publishing Date：2026-01-16(First online date of this platform, not the publication date of the document)
Pages：8( 2746-2753 )