Open AccessOptimizing AGV Calculation MAP Path of Waste Smoke Recovery
Author(s) -
Haitao Chen,
Meng Shu,
Yow Jon Lin,
Shunkai Sun,
Xue Shen,
Ming Chen,
Wangdi Hu,
Jun-Jie Jiang
Publication year - 2020
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 - 10.1088/1742-6596/1575/1/012117
Subject(s) - residual , production (economics) , raw material , path (computing) , manufacturing engineering , tobacco industry , smoke , automated guided vehicle , computer science , engineering , waste management , artificial intelligence , algorithm , chemistry , organic chemistry , law , political science , economics , macroeconomics , programming language
With the emergence of Industry 4.0, Technological reform and technological model innovation will surely be launched in the industrial manufacturing industry. Based on the intelligent development direction explained by Industry 4.0 and the current status of the tobacco industry logistics, AGV for waste smoke recycling is proposed Example map route optimization topic. In the complex operation and maintenance environment of the tobacco industry, unmanned transportation technology is used to automatically recover the residual cigarettes in the wrapping workshop, replacing the traditional manual forklift recycling model. Focusing on the auxiliary production of intelligent production, with the automatic recycling of residual cigarettes as the core, we will further optimize and perfect the intelligent recovery or supply of production waste and other raw and auxiliary materials.