Japan's First Demonstration: Advancing Industrial Complex Facility Inspection with Physical AI, IOWN® APN, and 60GHz Wireless LAN

NTT Group, 1Finity, and Mitsubishi Chemical conducted a demonstration at the Mizushima industrial complex in Okayama Prefecture to advance outdoor facility inspection using Physical AI technology within an IOWN® APN and 60GHz wireless LAN communication environment.
その他NQ 45/100出典:PR Times

📋 Article Processing Timeline

  • 📰 Published: June 2, 2026 at 03:08
  • 🔍 Collected: June 1, 2026 at 18:20
  • 🤖 AI Analyzed: June 1, 2026 at 22:41 (4h 21m after Collected)
NTT East, NTT Docomo Business, NTT Docomo Solutions, and NTT Data Group (collectively 'NTT Group'), along with 1Finity (a Fujitsu Group company), and Mitsubishi Chemical Corporation (a Mitsubishi Chemical Group company), are working to reduce the burden on field workers inspecting outdoor factory equipment through smart maintenance enabled by IOWN® APN and AI.

In February 2026, the three parties constructed a high-capacity, low-latency communication environment combining IOWN® APN and 60GHz wireless LAN at the Mizushima coastal industrial zone (Mizushima industrial complex) in Okayama Prefecture, confirming the ability to collect massive amounts of data in real time.

Using this communication environment, the companies verified the advancement of outdoor facility inspection leveraging Physical AI technologies such as autonomous robots and digital twins.

Specifically, the following validations were conducted with effective results looking toward practical application:

(1) Realized remote operation and autonomous navigation of robots in an outdoor environment.
(2) Transmitted data collected via cameras and microphones mounted on the robots with low latency.
(3) Analyzed collected data in real time using AI to detect abnormalities related to vibration and sound.
(4) Analyzed collected data using AI and reflected the findings in a digital twin environment to detect cracks.

Moving forward, the companies will continue to integrate diverse data including video, audio, odor, and temperature to achieve advanced cognitive functions capable of replacing human workers, thereby reducing the burden on on-site personnel.

FAQ

今回の実証実験の目的は何ですか?

大規模なコンビナートにおける屋外設備点検作業の工数を削減し、現場作業員の負担を軽減するため、フィジカルAI技術を活用したスマートメンテナンスの高度化を検証しました。

どのような通信技術が用いられましたか?

NTTグループのIOWN® APN(オールフォトニクス・ネットワーク)と、60GHz帯無線LAN(WiGig)を組み合わせた大容量・低遅延通信環境が構築されました。

具体的にどのような点検項目が検証されましたか?

四足歩行ロボットによる振動と音に関する異常検知、および四輪駆動ロボットを用いたデジタルツイン環境におけるひび割れ点検などが実施されました。

実証実験の場所はどこですか?

岡山県の水島臨海工業地帯(水島コンビナート)にある三菱ケミカル岡山事業所で行われました。

今後の展望は何ですか?

映像、音響、臭気、温度などの多様なデータを統合することで、人に代わる高度な認知機能を実現し、現場作業員の負担軽減を一層推進していく予定です。