Open AccessThe intelligent monitoring of powder material extraction production process
Author(s) -
Qingzhong Hu,
Zhantao Wang,
Xinjia Lu,
Yi Luo
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/740/1/012072
Subject(s) - automation , production (economics) , process (computing) , process engineering , computer science , manufacturing engineering , extraction (chemistry) , engineering , mechanical engineering , chemistry , chromatography , economics , macroeconomics , operating system
Deep processing of rare earth powder materials is a traditional labour-intensive industry, and low production efficiency and poor production environment are prominent problems. With the development of wireless communication, low-power chips, artificial intelligence and other technologies and the reduction of its cost, it has provided favourable conditions for the traditional industry to achieve intelligent monitoring and intelligent fault detection to catch up with the current trend of intelligent industrial development. By analyzing and comparing various current intelligent algorithms, it can be applied to the powder material extraction production process, which can improve the automation degree of the extraction production process, reduce resource waste, save costs, and make the production operation more economical and effective.