The EarlyWarn project will develop AI-based monitoring systems to detect and identify problems in the high-voltage power transmission and distribution system, before the problems escalate and cause blackouts or destruction of expensive equipment.
SAMBA - Smarter Assets Management with Big Data
The project has a large potential for improving the transmission system's asset management by optimizing decisions on maintenance and reinvestments using developments in information and communication technology (ICT) and existing business specific knowledge.
UTOFIA will offer a compact and cost-effective underwater imaging system for turbid environments.
Noise induced hearing loss (NIHL) is one of the most common occupational diseases. This is a fact even if most countries have legislations specifying how much sound employees can be exposed to. Therefore new models for NIHL seem to be necessary to reduce the risk of developing hearing disorders.
Autonomous mobile systems are capable of reasoning about and solving unstructured problems without the direct intervention of humans, and central to future exploitation of the ocean space.
SINTEF has developed a new tool for mapping of noise from road traffic. It is in use by NPRA – Norwegian Public Road Administration to monitor the noise pollution that bothers 1 500 000 Norwegians on a daily basis.
The vision of SOCIETIES is to develop a complete, integrated Community Smart Space (CSS), which extends pervasive systems beyond the individual to dynamic communities of users. CSSs will embrace on-line community services, such as Social Networking in order to offer new and powerful ways of working, communicating and socialising.
OSS – Ocean Space Surveillance
Environmental monitoring is a key element in sustainable exploitation of marine resources. The environment is under pressure from e.g. shipping and offshore oil and gas activities, and there is a large need for improved methods for monitoring and management. OSS aims to contribute to this by developing technology for continuous monitoring in time and space – by combining underwater wireless sensor networks and advanced ocean models for hydrodynamics, biology and emissions.