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Distributed Information Acquisition and Decision-Making for Environmental Management (DIADEM)
Start date: 01 Sep 2008, End date: 30 Nov 2011 PROJECT  FINISHED 

The resulting methods and tools will support environmental management in industrial settings. In particular, the resulting system will support seamless and efficient integration of (i) robust and efficient gas monitoring systems and (ii) advanced decision support/planning systems which facilitate rapid, high-quality decision making based on rich domain expertise and large quantities of relevant information. The resulting systems will contribute to safer and healthier environment in industrialized areas in different, complementary ways:•\tMitigation of consequences of catastrophic chemical incidents through quick and reliable gas detection, monitoring and extremely efficient decision making processes. •\tPrevention of catastrophic chemical incidents and reduction of chemical pollution through planning based on collaboration of many experts and efficient use of advanced tools.•\tPrevention of chemical air pollution in industrial areas. By being able to quickly detect and discover the sources of pollution, the environmental protection agencies will able to enforce stringent regulations upon the industry.This will be achieved through a unique combination of (i) advanced approaches to information fusion and gas distribution models, (ii) a service oriented approach to modular information processing, (iii) seamless integration of human-based and automated reasoning techniques supported by multi criteria decision analysis and advanced human machine interfaces and (iv) different existing tools will be integrated into various processing modules.While the project is addressing very challenging problems, a unique combination of consortium partners guarantees substantial breakthroughs within the planned time frame. The consortium consists of complementary partners, ranging from academics with excellent scientific track to SMEs and Multinationals serving the most demanding high-tech markets.
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