Open AccessDesign of Fully Intelligent Quality Error Prevention System for Tobacco Production Line Based on Configuration Software and PLC Program
Author(s) -
Yongqiang Gu,
Xi Zhang,
Huan Yang,
Jianlin Zhang
Publication year - 2022
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 - 10.1088/1742-6596/2206/1/012038
Subject(s) - production line , software , process (computing) , production (economics) , computer science , quality (philosophy) , control (management) , alarm , reliability engineering , manufacturing engineering , engineering , automotive engineering , embedded system , real time computing , operating system , electrical engineering , mechanical engineering , philosophy , epistemology , artificial intelligence , economics , macroeconomics
Aiming at the problems of wrong brand, mixed batch and wrong transmission of electronic parameter information in the production of cut tobacco of different brands in the tobacco industry, a fully intelligent quality error prevention system based on WinCC configuration software and PLC distributed control program is designed. The information of the production and manufacturing execution system in the general control room and the brand, batch and other information stored in the PLC of the bottom electric control cabinet is compared and verified instead of manual self-inspection. If the information is consistent, production is allowed. Otherwise, the equipment locks itself and sends alarm feedback. The design and application of the system realize the automatic error prevention of process equipment and the implementation accuracy of production control parameters, to ensure that the production process meets the requirements of process technology, effectively avoid major quality accidents, and finally guarantee the product quality.