Last modified: 2018-02-27 10:00:00
Due to lack of workforce and retirement of skilled technicians, "manufacturing knowledge and technology transfer" is a challenge at the manufacturing sites of the chemical industry with driving skills and equipment maintenance technologies. In this session, we will introduce case improvement of the field strength by utilizing big data/AI/IoT in this field of chemical industry.
Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
---|---|---|---|---|---|
Hall F, Day 3 | |||||
(11:00–12:00) (Chair: | |||||
F307 | Trends and Use Cases of Artificial Intelligence Technology | AI Deep Learning | SS-4 | 17 | |
(13:00–13:40) (Chair: | |||||
F313 | [Requested talk] Exploring hidden knowledge from data stored in the field - Human resource development using data analysis technology and improvement of work force - | AI IoT | SS-4 | 278 | |
(13:40–15:00) (Chair: | |||||
F315 | [Requested talk] Utilization of IoT, Big Data Analysis Technology, etc for Advanced Operation of Power Plant | digitalization Maintain advanced maintenance | SS-4 | 493 | |
F317 | [Requested talk] Degradation and countermeasures of equipment materials to read from the case of plant material damage (About stainless steel) | Plant material Damaged cases Stainless steel | SS-4 | 108 | |
(15:00–15:40) (Chair: | |||||
F319 | Utilization of Robot Suit HAL(R) in Work Support Field and its Application (machine translation) | HAL Hybrid Assistive Limb CYBERDYNE | SS-4 | 75 |
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SCEJ 83rd Annual Meeting (Osaka, 2018)