Imagine being able to taste a soup while it's boiling to know exactly when to add salt, but for liquid metal. Instead of taking a sample to a lab and waiting, a laser instantly checks the metal's ingredients. An AI then tells the operator exactly how to adjust the process to avoid mistakes and save energy.
Metals manufacturers lack real-time visibility into the chemical composition of molten metals, leading to inefficient process control, higher carbon footprints, and unexpected equipment failure.
A combined solution featuring LP-LIBS™ sensing hardware and a predictive AI cloud platform for real-time monitoring and process optimization.
If you are an aluminium smelter dealing with unpredictable electrolysis cell failures — this project developed a predictive AI platform that predicts the likelihood of failure within different timeframes. This allows for better maintenance and reduces downtime in a €255BN/y market.
If you are a steel mill dealing with inefficient alloying processes — this project developed a real-time sensing and cloud platform that monitors chemical composition. This enables process automation and efficiency gains in a €950BN/y market.
If you are a metal processor dealing with high carbon footprints and waste — this project developed LP-LIBS™ sensing technology that provides real-time data for decision making. This helps maximize efficiency and reduce the environmental impact of production.
Based on available project data, specific pricing or cost details are not provided.
Yes, the system uses edge devices at customer sites to aggregate plant data and a cloud-agnostic platform to handle real-time data flow for large-scale metals manufacturing.
The system utilizes DTE's proprietary LP-LIBS™ sensing technology and the project included the definition of an IP strategy.
Integration is achieved via edge devices hosted on-site that forward data to a cloud platform, with the option for on-premises setup for specific customer requests.
The project ran from 2022-10-01 to 2024-09-30, during which the architecture was defined and the first version of the platform was built.
The project is led by a single SME, DTE EHF, based in Iceland. With a 100% industry ratio and no university or research institute partners, the project is purely commercially driven, focusing on rapid development and direct customer validation.
Contact DTE EHF regarding LP-LIBS™ technology
Contact us to explore licensing or integration of real-time metal analysis AI.
