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The project is partly funded by the European Commission under the 7th Framework Programme in the area of EU-Brazil Research and Development cooperation under Grant Agreement no. 288133
The Brazilian funding is provided by CNPq Conselho Nacional de Desenvolvimento Científico e Tecnológico
Read the BEMO-COFRA newsletters here:
#1 October 2012
#2 February 2013
#3 October 2013
#4 February 2014
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Successful end to the BEMO-COFRA project
The BEMO-COFRA framework addresses both technological aspects and user needs to promote a software platform for monitoring and control able to provide:
• Integration of legacy devices, systems, and different wireless heterogeneous technologies into an holistic monitoring and control framework;
• Adopting distributed and decentralized approaches to provide WSANs with scalable monitoring, control and self-diagnosis capabilities;
• Introducing a Service Oriented Architecture (SOA) and a middleware that, by exposing smart objects capabilities as web services, makes it possible for the innovative WSAN to be developed within the project to cooperate with legacy devices and systems.
The above BEMO-COFRA achievements clearly pave the way to an innovative framework supporting networked monitoring and control systems in different application domains.
The achievements of the BEMO-COFRA projects were demonstrated in a challenging scenario represented by a manufacturing plant where dependability of the system is of utmost importance and where a very large number of devices, systems, WSAN devices interact and actively cooperate with each other to enable a very accurate observation of production processes.
Major benefits derived from the research and development activities in BEMO-COFRA are:
• An overall increase of flexibility, performance and re-configurability of new agile manufacturing systems: today the investment cost spent in average for reconfiguring existing production facilities.
• An optimal operation maintenance despite varying conditions;
• An improvement in efficiency accompanied by greater equipment up-time in cases of major variations/uncertainties in process parameters and/or in cases of frequent managed changes in production.