AI-based ground-condition assessment in mountain tunnels
First written in FY2020. 1 of 3 entries say "Restated". Latest entry: FY2022.
2 other companies' latest entry also says "Advanced".
- FY2022AdvancedAnnual report
「The Group developed the “Tunnel Face AI Diagnostic System,” which uses AI to learn from tunnel-face photographs and machine data collected during excavation and assess the tunnel face. It introduced and tested the system at the Kusakagawa New Floodway (outlet-side) construction project and the Yunogami No. 3 Tunnel project.」
AI-based ground-condition assessment advanced to the testing stage through deployment at 2 tunnel projects. The Group aims to commercialize the system through spectral-camera image analysis and additional data collection and analysis at other projects. - FY2021RestatedAnnual report
「施工支援を行う「トンネル切羽ＡＩ診断システム」は技術者の経験の有無にかかわらない客観的な評価ができ、若手技術者の判断支援を行い」
山岳トンネルのAI地山判定・切羽診断を施工支援システムとして位置付けている。 - FY2020First statedAnnual report
「Since 2017, the Company has continued joint research with Nagasaki University and 五大開発株式会社 to analyze and correlate the large volumes of data obtained during tunnel excavation using AI technology, thereby improving the accuracy of predicting ground conditions ahead of the tunnel face.」
Through joint research with Nagasaki University and 五大開発株式会社, the Company is using AI to analyze drilling data and tunnel-face images and assess ground conditions at the Kusakagawa New Floodway and Yunogami No. 3 Tunnel projects.