TAPI (Towards Autonomy in Process Industries)
The aim of TAPI (Towards Autonomy in Process Industries) is to move Norwegian land-based process industries towards more autonomous operations by exploring the intersection between machine learning (ML) and more traditional model-based control methods.
Automatized follow-up of safety instrumented systems
The project will develop specifications that simplify and automate design and operation of safety systems in the petroleum industry. The industry partners will, based on the R&D activities in the project, develop new solutions for collecting, analyzing and sharing failure data of safety systems during design and operation.
At SINTEF we have started a strategic project to investigate the possibilities and application areas of quantum computing.
UnWarp: Understanding warping corrugated board with machine learning
Warped cardboard is a major quality issue in the production of corrugated cardboard. It reduces the productivity in the converting units, causes reduced quality on the final product, and increases waste. In UnWarp we are using machine learning to understand when the cardboard becomes warped in and provide guidelines for minimising the warp.
The Digital Worker ERA will focus on exposure, physical and organisational factors for workers in the petroleum industry. We will build new knowledge on real-time exposure assessment of chemical, physiological strain and the human factors elements of using such assessments in-situ.
The role of the safety representative in safety work
"The role of the safety representative in safety work" is a research project with the purpose to acquire new knowledge about the role of the safety representatives, and challenges and opportunities related to their participation in safety work in building and construction projects.
GreenCharge will empower cities and municipalities to make the transition to zero emission/sustainable mobility with innovative business models, technologies and guidelines for cost efficient and successful deployment and operation of charging infrastructure for Electric Vehicles (EV).
Clean air is a basic necessity for human existence. Poor air quality has accounted for over 4.2 million deaths globally in 2016. As such, there is a need for highly sensitive gas sensors which can be integrated into an early detection system, should air quality fall below predefined thresholds.