Objective
A decisive gap in the process industry is the lack of qualified distributed process parameter measurements for optimal control. Process tomography is a ground-breaking technology to bridge this gap. Just with the recent development in high-power massive parallel computing this technology has gained the required real-time capability. TOMOCON as a European network of leading academic and industrial partners from different sectors dedicates its efforts in research and training towards development of tomography-based industrial process control. With that it shall generate new scientific and technical knowledge in this emerging field; develop and demonstrate new technological solutions of advanced industrial control by tomographic sensors; align tomography-based process control with concepts of knowledge-based control, big data analysis and advanced human-machine interfaces; and enhance the scientific and transferable skills of early stage researchers to meet future needs of the industry. Together with world-leading industrial sensor and control solution providers, process engineering and production companies TOMOCON shall demonstrate the functionality of tomography-assisted process control in four industry-relevant demonstration cases, which serve as benchmarks to demonstrate improvements in energy and resource efficiency as well as product quality. That is: control of inline fluid separation, control of microwave drying processes, control of continuous metal casting, and control of batch crystallization processes.
Fields of science
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems
- natural sciencesearth and related environmental sciencesgeologymineralogycrystallography
- natural sciencescomputer and information sciencesdata sciencebig data
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesmathematicspure mathematicsmathematical analysisdifferential equationspartial differential equations
Keywords
Programme(s)
Coordinator
01328 Dresden
Germany
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Participants (9)
412 96 GOTEBORG
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2628 CN Delft
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31029 Toulouse Cedex 4
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76131 Karlsruhe
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53850 Lappeenranta
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46117 Liberec
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90 924 Lodz
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BA2 7AY Bath
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70211 KUOPIO
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Partners (17)
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38800 Le Pont De Claix
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Alphen aan den Rijn
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20-148 Lublin
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Maisach
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4031 Linz
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70100 Kuopio
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01069 Dresden
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01454 Radeberg
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80060000 Curitiba
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35447 Reiskirchen
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20097 Hamburg
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82049 Pullach I.Isartal
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92400 Courbevoie
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Velsen-Noord
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2596 HR 's-Gravenhage (Den Haag)
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Kantvik
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8401 Winterthur
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