Study on IoT and Big Data Analysis of Furnace Process Exhaust Gas Leakage

Author(s):  
Yu-Wen Zhou ◽  
Kuo-Chi Chang ◽  
Jeng-Shyang Pan ◽  
Kai-Chun Chu ◽  
Der-Juinn Horng ◽  
...  
Author(s):  
Kuo-Chi Chang ◽  
Kai-Chun Chu ◽  
Hsiao-Chuan Wang ◽  
Yuh-Chung Lin ◽  
Tsui-Lien Hsu ◽  
...  

Modern FAB uses a large number of high-energy processes, including plasma, CVD, and ion implantation. Furnaces are one of the important tools for semiconductor manufacturing. According to the requirements of conversion production management, FAB installed a set of IoT-based research based on 12″ 7 nm-level furnaces chip process. Two furnace processing tool measurement points were set up in a 12-inch 7 nm-level factory in Hsinchu Science Park, Taiwan, this is a 24-hour continuous monitoring system, the data obtained every second is sequentially send and stored in the cloud system. This study will be set in the cloud database for big data analysis and decision-making. The lower limit of TEOS, C2H4, CO is 0.4, 1.5, 1 ppm. Semiconductor process, so that IoT integration and big data operations can be performed in all processes, this is an important step to promote FAB intelligent production, and also an important contribution to this research.


2019 ◽  
Vol 9 (1) ◽  
pp. 01-12 ◽  
Author(s):  
Kristy F. Tiampo ◽  
Javad Kazemian ◽  
Hadi Ghofrani ◽  
Yelena Kropivnitskaya ◽  
Gero Michel

2020 ◽  
Vol 25 (2) ◽  
pp. 18-30
Author(s):  
Seung Wook Oh ◽  
Jin-Wook Han ◽  
Min Soo Kim

2020 ◽  
Vol 14 (1) ◽  
pp. 151-163
Author(s):  
Joon-Seo Choi ◽  
◽  
Su-in Park

2020 ◽  
Vol 29 (4) ◽  
pp. 29-38
Author(s):  
Jeong-Hyeon Kwak ◽  
Sun-Hee Lee

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