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Comment IIOT Chemical

‘Deep-learning-based’ AI quickly predicts furnace products

By Tetsuo Satoh |

NTT Communications Corp. (NTT Com; www.ntt.com) and Mitsui Chemicals Inc. (both Tokyo, Japan; www.mitsuichem.com) have demonstrated the ability to predict, with a high precision, the concentration of gaseous products generated in a furnace. The predictions are produced in just 20 minutes after sampling process data, by modeling the relationships between process data and raw material, and furnace conditions, using deep-learning-based artificial intelligence (AI) developed by NTT Com. Over 50 process parameters are used in the modeling, including temperatures and flowrates of raw materials and furnace-reactor parameters. The two companies have been working together since 2015. Mitsui Chemicals plans to enhance the reliability and efficiency of its production facilities by studying next-generation production technologies using the internet of things (IoT), big data and AI. Meanwhile, NTT Com plans to use AI-based technology to enhance the efficiency of chemical plant operations, by quickly clarifying the causes of quality abnormalities. In a project supported by the New Energy and Industrial Technology Development Organization (NEDO) under the authority of the Ministry of Economy, Trade and Industry (METI), NTT Com, Yokogawa Electric…
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