Key Data Analysis Methods and Technologies for Cigarette Equipment Status
Cigarette equipment condition monitoring technology is a comprehensive application of science and technology,Through the study of the state information of changes in the operation of the equipment,The use of signal analysis and processing and other means to comprehensively evaluate the healthy operation status,fault type and severity of the equipment[1].As a compact,complex and precise product processing equipment,Cigarette production equipment puts forward extremely high requirements in terms of operation guarantee.Based on the traditional fault monitoring and diagnosis methods,This paper discusses the condition monitoring technology of cigarette equipment based on machine vision,Artificial intelligence and big data analysis.By monitoring the operating status of the equipment,Predicting the possible failures of the equipment,And taking timely measures to improve the reliability and stability of the equipment.
NETL
NSTL
万方数据
