Abstract
The paper proposes a framework for incorporating results of the analytical and laboratory measurements directly into the process control system. It is based on an object-oriented framework for cooperative testing of control algorithms implemented for experimental pilot-plants. It enables modification of the control algorithm structure without rewriting the main software component executed on the programmable automation controller (PAC). In this paper the framework is expanded to enable access to web-based services for the purpose of incorporating the results of advanced off-line measurements directly in the process control system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Sharma, K.L.S.: Overview of Industrial Process Automation. Elsevier (2011)
Wagner, M., Loy, A.: Bacterial community composition and function in sewage treatment systems. Current Opinion in Biotechnology 13, 218–227 (2002)
Nocoń, W., Polaków, G.: Object-oriented framework for cooperative testing of control algorithms for experimental pilot-plants. In: Luo, Y. (ed.) CDVE 2013. LNCS, vol. 8091, pp. 197–204. Springer, Heidelberg (2013)
Vyatkin, V.: IEC 61499 as Enabler of Distributed and Intelligent Automation: State-of-the-Art Review. IEEE T. Ind. Inform. 7, 768–781 (2011)
Handbook of Automation. Ed. Nof. Springer Dordrecht Heidelberg London New York (2009)
Nocoń, W., Polaków, G.: LabVIEW Based Cooperative Design for Control System Implementation. In: Luo, Y. (ed.) CDVE 2011. LNCS, vol. 6874, pp. 137–140. Springer, Heidelberg (2011)
Choinski, D., Metzger, M., Nocon, W., Polaków, G., Rozalowska, B., Skupin, P.: Cooperative Access to Hierarchical Data from Biotechnological Pilot-Plant. In: Luo, Y. (ed.) CDVE 2012. LNCS, vol. 7467, pp. 171–178. Springer, Heidelberg (2012)
Metzger, M.: Fast-mode real-time simulator for the wastewater treatment process. Water Science and Technology 30, 191–197 (1994)
Metzger, M.: A comparative evaluation of DRE integration algorithms for real-time simulation of biologically activated sludge process. Simulation Practice and Theory 7, 629–643 (2000)
Wagner, M., Horn, M., Daimes, H.: Fluorescence in situ hybridization for the identification and characterization of prokaryotes. Current Opinion in Microbiology 6, 302–309 (2003)
Motter, A., Göbel, U.B.: Fluorescence in situ hybridization (FISH) for direct visualization of microorganisms. Journal of Microbiological Methods 41, 85–112 (2000)
Kelly, J.J., Siripong, S., McCormack, J., Janus, L.R., Urakawa, H., El Fantroussi, S., Noble, P.A., Sappelsa, L., Rittmann, B.E., Stahl, D.A.: DNA microarray detection of nitrifying bacterial 16S rRNA in wastewater treatment plant samples. Water Research 39, 3229–3238 (2005)
Zhu, G., Peng, Y., Li, B., Guo, J., Yang, Q., Wang, S.: Biological removal of nitrogen from wastewater. Reviews of Environmental Contamination and Toxicology 192, 159–195 (2008)
Skupin, P., Metzger, M.: Cooperative Operating Control for Induction or Elimination of Self-sustained Oscillations in CSTB. In: Luo, Y. (ed.) CDVE 2011. LNCS, vol. 6874, pp. 66–73. Springer, Heidelberg (2011)
Skupin, P.: Simulation approach for detection of the self-sustained oscillations in continuous culture. In: Proceedings of the 11th WSEAS International Conference on Mathematics and Computers in Biology and Chemistry, pp. 80–85 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Nocoń, W., Węgrzyn, A., Polaków, G., Choiński, D., Metzger, M. (2014). Integration of Industrial Control with Analytical Expert Measurements for Cooperative Operations. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2014. Lecture Notes in Computer Science, vol 8683. Springer, Cham. https://doi.org/10.1007/978-3-319-10831-5_12
Download citation
DOI: https://doi.org/10.1007/978-3-319-10831-5_12
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10830-8
Online ISBN: 978-3-319-10831-5
eBook Packages: Computer ScienceComputer Science (R0)