Development of 'Face Pressure Control Support System' Using AI to Predict Shield Tunneling Face Pressure 10 Seconds Ahead

Key facts

  • Development of 'Face Pressure Control Support System' Using AI to Predict Shield Tunneling Face Pressure 10 Seconds Ahead
  • Maeda Corporation has developed an AI-based system that predicts shield tunneling face pressure 10 seconds in advance, digitizing expert knowledge to stabilize construction.
  • Source: PR Times
  • Date: May 27, 2026

Direct answer

Maeda Corporation has developed an AI-based system that predicts shield tunneling face pressure 10 seconds in advance, digitizing expert knowledge to stabilize construction.

Citation
Development of 'Face Pressure Control Support System' Using AI to Predict Shield Tunneling Face Pressure 10 Seconds Ahead (May 27, 2026), PR Times
Source
PR Times
Date
May 27, 2026
Maeda Corporation has developed an AI-based system that predicts shield tunneling face pressure 10 seconds in advance, digitizing expert knowledge to stabilize construction.
techNQ 54/100出典:PR Times

📋 Article Processing Timeline

  • 📰 Published: May 27, 2026 at 10:00
  • 🔍 Collected: May 31, 2026 at 23:03 (109h 3m after Published)
  • 🤖 AI Analyzed: June 2, 2026 at 05:12 (30h 9m after Collected)
Maeda Corporation (Headquarters: Chiyoda-ku, Tokyo; President: Soji Maeda) has developed a DX tool called the 'Face Pressure Control Support System' that uses AI to support the control of face pressure in shield tunneling. The system uses AI to learn from various sensor data and operator operation history accumulated in the company's shield tunneling data platform, 'MAIOSS-II', to predict face pressure approximately 10 seconds in advance. By presenting the appropriate operation timing to the operator based on these predictions, the system supports control that previously relied on the experience and knowledge of skilled technicians, making it possible to suppress impacts on the surrounding environment such as ground subsidence or upheaval. Verification at actual sites showed that the AI's predictions matched those of skilled technicians in approximately 90% of cases, confirming its effectiveness at a practical level. The company plans to roll out the system to sites of Sumitomo Mitsui Construction, part of the Infroneer Group, in the future.

FAQ

What platform does the system utilize?

It utilizes 'MAIOSS-II'.

What are the key facts in this article?

Maeda Corporation has developed an AI-based system that predicts shield tunneling face pressure 10 seconds in advance, digitizing expert knowledge to stabilize construction.

What is the direct answer?

Maeda Corporation has developed an AI-based system that predicts shield tunneling face pressure 10 seconds in advance, digitizing expert knowledge to stabilize construction.