No.1018 2021インダストリー関連技術特集号 熱処理装置のIoT −異常の予兆をとらえるデータ分析技術− |
| カテゴリー | 資料 |
|---|---|
| 筆者 | 光洋サーモシステム株式会社 商品開発部 服部 昌 鈴木真之佑 |
| 要旨 | Since the operation of industrial equipment cannot be stopped, people in the industrial field have strongly wished for failure prediction from long ago, but practical application has been elusive. However, the recent evolution of information technology has greatly advanced the possibility of failure prediction becoming a reality. We have built a platform for data collection and analysis on the cloud, and developed a system for detecting signs of anomalies and diagnosing deterioration in carburizing furnaces as a fi rst step. In this article, we introduce the system with a focus on data analysis examples. |
| キーワード | IoT, anomaly prediction, data analysis, industrial furnace, carburizing furnace |
| 関連タグ |
Ranking
(2024年4月の集計)
(2023年5月から2024年4月の集計)
JTEKT ENGINEERING JOURNAL
メールマガジン
最新号の公開情報をメールでお知らせいたします。ぜひ、ご登録ください。