Software Sensors for the Monitoring of Bioprocesses
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F21%3A43921576" target="_blank" >RIV/60461373:22340/21:43921576 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-57802-2_20" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-57802-2_20</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-57802-2_20" target="_blank" >10.1007/978-3-030-57802-2_20</a>
Alternative languages
Result language
angličtina
Original language name
Software Sensors for the Monitoring of Bioprocesses
Original language description
This paper presents various software based approaches suitable for the design of knowledge-based monitoring of biotechnological production processes. These processes require special treatment with respect to the complexity in biochemical reactions which make the design and construction of reasonably complex and practically usable mathematical models rather difficult. Additional complexity arises from the lack of industrially viable sensors for on-line measurement of key process variables. Software sensors which often use tools from the field of artificial intelligence represent one of the suitable approaches for the overcoming of the above mentioned limitations for its ability to utilize effectively both quantitative and qualitative knowledge about the monitored bioprocess. This approach is shown in practice using two different case studies of knowledge-based software sensors.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20902 - Bioprocessing technologies (industrial processes relying on biological agents to drive the process) biocatalysis, fermentation
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020)
ISBN
978-3-030-57801-5
ISSN
2194-5357
e-ISSN
—
Number of pages
9
Pages from-to
207-215
Publisher name
Springer International Publishing Switzerland
Place of publication
Cham
Event location
BURGOS
Event date
Sep 16, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—