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КартаВръзкиТемиБългарияНощта (K-TRIO)Мария Склодовска-КюриЗа ученициЗа учителиМетодологияИзненадай ме
H2020Докторантска мрежа2017–2022

TOMOCON · Smart tomographic sensors for advanced industrial process control

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2017-09-01 → 2022-02-28
Финансиране от ЕС
3 819 642 €
Участници
27
Схема
MSCA-ITN

Линиите свързват координатора с партньорите.

Накратко на български

Смарт томографски сензори се използват за наблюдение на процеси вътре в непрозрачни индустриални системи, като например при непрекъснатото леене на метал. Това помага за по-доброто управление на производството чрез анализ на големи обеми от данни в реално време.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Smart tomographic sensors for advanced industrial process control

With the most recent progress in fast data processing on smart scalable parallel hardware architectures imaging techniques have reached the capability of being employed as sensors in advanced real-time control systems. A decisive gap in the process industry is however the lack of qualified distributed process parameter measurements for optimal control. Process tomography is a ground-breaking technology to bridge this gap as it can give insights into opaque process components and materials. The European Training Network “Smart tomographic sensors for advanced industrial process control (TOMOCON)”, composed of 12 international academic institutions, 15 industry partners and 15 early stage researchers, dedicated its efforts in research in the emerging field of industrial process control using smart tomographic sensors. The project generated new scientific and technical knowledge in this emerging field; developed and demonstrated new technological solutions of advanced industrial control by tomographic sensors and aligned tomography-based process control with the concepts of big data analysis, advanced human-machine interfaces, knowledge-based control as well as sensor integration into a networked production according to the future needs of the industrial associated partners. Together with world-leading industrial sensor and control solution providers as well as process engineering and production companies, TOMOCON demonstrated the functionality of tomography-assisted process control in four industry-relevant demonstration cases that are inline fluid separation, microwave drying, continuous metal casting and batch crystallization. TOMOCON further educated its 15 early stage researchers in a new way that combined unique scientific and soft skill training based on intersectoral, international and interdisciplinary experiences.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

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.

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз