SwitzerlandConstruction and engineering2025 – ongoingImplenia
AI analysis of excavated rock on tunnel boring machine conveyor belts
Implenia used AI to identify rock on tunnel boring machine conveyor belts and tune machine control
Problem
Tunnel boring machines carry excavated rock away on conveyor belts. Crews wanted to know what material came out and use that to run the machine and control quality.
Approach
Implenia used AI to analyse and identify the rock on the conveyor belt automatically. The result was used to optimise machine control and material quality during tunnel construction.
Results
No published figures
Takeaway
Implenia described the rock analysis as in use on tunnel projects. It gave no figures for savings or accuracy.
Categories
- Industry
- Construction and engineering
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer vision
- Adoption
- Built in-house
- Goal
- Quality and risk
- Evidence
- Company's own claim
Sources
Source summaries
Implenia's magazine article on digital construction says AI automatically identifies rock carried on tunnel boring machine conveyor belts to improve machine control and material quality. It also covers ALICE scheduling software on a railway bridge in Norway. It reports no results figures for the rock analysis.
Full details are in the original sources.
