TRIDEC focuses on new technologies for real-time intelligent information management in collaborative, complex critical decision processes in earth management. Key challenge is the construction of a communication infrastructure of interoperable services through which intelligent management of dynamically increasing volumes and dimensionality of information and data is efficiently supported; where groups of decision makers collaborate and respond quickly in a decision-support environment.
The research and development objectives include the design and implementation of a robust and scalable service infrastructure supporting the integration and utilisation of existing resources with accelerated generation of large volume of data. These include sensor systems, repositories, simulation- and data mining tools. TRIDEC an adaptive framework for collaborative decision making is enabled with new functions e.g. incremental on-line learning, clustering algorithms or dynamic data mining techniques for the support of agile complex business processes.
In this project, we focus on two different scenarios, namely monitoring drilling operations and a tsunami early warning system:
- Drilling Operations: large numbers of engineers, financial analysts and decision-makers from energy companies work collaboratively in the planning, forecast and real-time monitoring via sensor networks of the integrity and performance of operational drilling systems. Their common objective is to minimize delays of operations, and the resulting financial losses, and to avoid critical situations and accidents.
- Tsunami Information System: Large number of technical experts and emergency decision-makers from intergovernmental agencies are involved in monitoring of real time occurrence of Tsunami using sensors networks, social media feeds and other media reports. Their common objective is to minimise the likely impact of the tsunami on coastal regions and taking timely measures for saving lives and evacuation of vulnerable communities to safer zones inland.
Key challenge is the construction of a communication infrastructure of interoperable services and development of intelligent models and algorithm for such alarm systems.