Fujitsu Successfully Completes Japan’s First Advanced Industrial Complex Inspection Demonstration Integrating Physical AI, IOWN APN, and 60 GHz Wireless LAN

Fujitsu Global Japan

Overview

Fujitsu, in collaboration with NTT East, NTT DOCOMO Solutions, NTT DATA Group, and 1Finity, has successfully completed Japan’s first demonstration of advanced industrial complex inspections using Physical AI, IOWN® All-Photonics Network (APN), and 60 GHz wireless LAN. This demonstration aims to enhance operational efficiency and safety in industrial settings by integrating advanced networking and AI technologies. Specifically, IOWN APN’s optical technology enables real-time data transmission and processing, promoting the digitalization of industrial infrastructure into digital twins.

In Depth

Key Findings

Fujitsu, in collaboration with NTT East, NTT DOCOMO Solutions, NTT DATA Group, and 1Finity, has successfully completed Japan’s first demonstration of advanced industrial complex inspections, integrating Physical AI, IOWN® All-Photonics Network (APN), and 60 GHz wireless LAN. This groundbreaking initiative aims to dramatically improve operational efficiency and safety within Japan’s industrial infrastructure. Notably, IOWN APN’s full photonics technology is expected to significantly enhance the accuracy and speed of inspection tasks by enabling real-time transmission and processing of vast amounts of sensor data, facilitating advanced analysis by Physical AI.

Technical / Clinical Details

This demonstration was realized through the convergence of several cutting-edge technologies:

• IOWN All-Photonics Network (APN): Central to NTT’s IOWN concept, APN is a full photonics network that processes optical signals end-to-end. This dramatically reduces latency and power consumption associated with traditional electrical signal processing, achieving terabit-class ultra-high-speed and large-capacity data transmission. The massive data from sensors within industrial complexes is transmitted to central processing units almost in real-time, enabling rapid anomaly detection and predictive maintenance.
• Physical AI: This AI technology collects and analyzes vast amounts of data from physical space to reproduce and predict physical phenomena in digital space. For example, in plant equipment monitoring, Physical AI analyzes sensor data (temperature, vibration, acoustics) in real-time to detect signs of failure or anomalies. This allows for the capture of subtle changes that are difficult for human eyes to spot.
• 60 GHz Wireless LAN: Utilizing a high-frequency band, this technology achieves high-speed, large-capacity wireless communication. In complex environments like industrial complexes, it enables stable, high-bandwidth data transmission even in areas where wired cable installation is difficult. This allows for low-latency transmission of video and sensor data from mobile inspection robots or drones.

The integration of these technologies accelerates the construction of digital twins (real-time replication of physical space information in digital space) of equipment, enabling remote monitoring, analysis, and autonomous inspection and maintenance tasks.

Background & Context

Japanese industries face challenges such as a shortage of skilled labor, aging infrastructure, and intensifying global competition. Particularly in large industrial complexes like petrochemical plants and power generation facilities, safe and efficient inspection and maintenance are essential, and technological innovations to address these challenges are highly sought after. The IOWN concept aims to maximize the utilization of optical technology to solve these societal issues, and this demonstration holds significant meaning as a concrete application. The collaboration among leading Japanese companies like Fujitsu, NTT Group, and 1Finity is forming a robust ecosystem that promotes the strengthening of Japan’s digital infrastructure and industrial digital transformation.

Strategic Significance & Outlook

The successful completion of this inaugural domestic demonstration significantly expands the application potential of Physical AI, IOWN APN, and 60 GHz wireless LAN technologies in the industrial sector. Moving forward, this technology will contribute to the standardization and advancement of inspection and monitoring processes across various fields, including manufacturing, energy, and transportation infrastructure. Real-time high-precision data acquisition and AI-driven analysis will directly lead to enhanced predictive maintenance, improved worker safety, reduced downtime, and overall productivity gains. Fujitsu is also extending its AI-powered services to non-financial disclosure analysis, supporting sustainable corporate growth. Furthermore, Fujitsu’s long-term strategies, such as “Management Vision 2035,” are expected to guide investments and development in these advanced technologies, laying the groundwork for future industries and society.