Program Book - Master Brewers Association of the Americas
Program Book - Master Brewers Association of the Americas
Program Book - Master Brewers Association of the Americas
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P-113<br />
Visual recording <strong>of</strong> process control interfaces<br />
HEINRICH JUNKER (1), Jens Voigt (2)<br />
(1) ProLeiT International GmbH & Co. KG, Herzogenaurach,<br />
Germany; (2) Technische Universität München, Center <strong>of</strong> Life<br />
Sciences, Freising-Weihenstephan, Germany<br />
The automated process control <strong>of</strong> industrial or laboratory brewing<br />
plants is normally performed by PLC and man/machine interfaces<br />
on a personal computer. The visualization includes process graphics<br />
and records <strong>the</strong> progress <strong>of</strong> controllers and indicators <strong>of</strong> parameters<br />
like temperatures, controller settings and o<strong>the</strong>r technical values.<br />
These systems usually lack visual information about human manual<br />
interference. Fast changes in process are hard to watch. Simple<br />
operations like valve opening or closing or motor switching and<br />
operation times are <strong>of</strong>ten not recorded. In order to make it possible<br />
to trace such situations in <strong>the</strong> event <strong>of</strong> malfunctions or process<br />
deviations, a visual tool for <strong>the</strong> recording <strong>of</strong> process graphics,<br />
pictures and controller pr<strong>of</strong>iles was developed. The requirement<br />
defined with pilot plant users from TUM was to establish easily<br />
accessible historical pictures <strong>of</strong> <strong>the</strong> real process. This must be<br />
achieved including recording times <strong>of</strong> <strong>the</strong> product life cycle in order<br />
to support back-tracking <strong>of</strong> products according to DIN, EAN, EU<br />
and international standards. The system was set up in order to be<br />
easily accessible from <strong>the</strong> on-line MMI, with a resolution time <strong>of</strong> 1<br />
second which is <strong>the</strong>n played in fast motion mode. The recordings are<br />
performed via standard s<strong>of</strong>tware on a common PC. The addition <strong>of</strong><br />
recorded process situations and data is a helpful tool in optimizing<br />
process operations. It is also an ideal help in developing new process<br />
recipes and test runs. Fur<strong>the</strong>rmore it can be used for operator<br />
training.<br />
Heinrich Junker received a M.S. degree in computer science and<br />
joined <strong>the</strong> brewing industry in 1996 as a research scientist for process<br />
control systems in breweries with <strong>the</strong> Huppmann Group. In 1997 he<br />
founded <strong>the</strong> Huppmann/ProLeiT joint-venture company brewmaxx<br />
Ltd. and moved to ProLeiT headquarters in Herzogenaurach,<br />
Germany. Since 2003 Heinrich has been managing director <strong>of</strong><br />
brewmaxx Ltd., which is now 100% owned by ProLeiT AG and was<br />
renamed ProLeiT International Ltd. in 2007.<br />
122<br />
P-114<br />
Decentralized easy-to-use wastewater treatment plants for <strong>the</strong><br />
future<br />
ANDREAS KASPRZYK (1), Judith Forstner (1), Christian<br />
Luschmann (1), Rainer Benning (1), Antonio Degado (1)<br />
(1) Institute <strong>of</strong> Fluid Mechanics <strong>of</strong> <strong>the</strong> University Erlangen<br />
Nuremberg, Erlangen, Germany<br />
The motivation <strong>of</strong> <strong>the</strong> project is <strong>the</strong> worldwide growing demand<br />
for water and <strong>the</strong> existing restrictions in access and water quality,<br />
which will drastically increase in <strong>the</strong> future due to worldwide<br />
developments. Additionally, in many areas <strong>the</strong> transport <strong>of</strong> fresh<br />
and used water causes high logistic efforts and energy consumption.<br />
This is dealt with through <strong>the</strong> development <strong>of</strong> decentralized plants<br />
that can be installed in units like sky scrapers, universities or factory<br />
premises. These plants are designed to produce service water<br />
that can be used for flushing or irrigation. For this purpose <strong>the</strong><br />
application <strong>of</strong> anaerobic technology suffices and, fur<strong>the</strong>rmore, leads<br />
to a lower amount <strong>of</strong> sludge while produced biogas can be used to<br />
save energy. Wastewater treatment is basically realized by a two step<br />
process, where hydrolysis and acidogenesis are carried out in one<br />
reactor, acetogenesis and methanogenesis in a second. In addition to<br />
this classic approach a third step takes care <strong>of</strong> <strong>the</strong> ammonium load <strong>of</strong><br />
<strong>the</strong> processed water. A major disadvantage <strong>of</strong> anaerobic plants lies in<br />
<strong>the</strong>ir sensitivity to overloading which may cause process failure. The<br />
following start up <strong>of</strong> <strong>the</strong> plant needs, dependent on <strong>the</strong> size, several<br />
weeks up to a few months. In a former study it was shown that this<br />
failure can be avoided by appropriate automation, which is also<br />
necessary for ano<strong>the</strong>r reason. The idea <strong>of</strong> a decentralized approach<br />
leads to a high number <strong>of</strong> plants, which requires a sufficient number<br />
<strong>of</strong> operators. As it is not probable that enough experts in wastewater<br />
treatment can be found for this purpose, <strong>the</strong> plant will be equipped<br />
with a sophisticated automation system, based upon cognitive<br />
hybrids. Artificial neural networks are designed to extract hidden<br />
information from <strong>the</strong> sensor data. This not only gives refined<br />
knowledge <strong>of</strong> <strong>the</strong> actual plant’s state, it will also be used to replace<br />
expensive sensors with cheap and robust ones. A fur<strong>the</strong>r part <strong>of</strong><br />
<strong>the</strong> automation system is represented by fuzzy logic, which allows<br />
<strong>the</strong> integration <strong>of</strong> expert knowledge into <strong>the</strong> algorithms. With this<br />
approach experience and knowledge can implicitly be supplied to<br />
<strong>the</strong> operator <strong>of</strong> <strong>the</strong> plant. Consequently, it is intended to enable<br />
caretakers, house owners or o<strong>the</strong>r people with similar knowledge to<br />
operate <strong>the</strong> plants and handle all events during normal operation.<br />
To guarantee suitable response to more severe problems, a remote<br />
maintenance system will be developed that enables a control center<br />
to supervise <strong>the</strong> plant state and take appropriate action to restore<br />
normal plant operation.<br />
From 1994 to 1997 Andreas Kasprzyk apprenticed as a brewer<br />
and maltster at <strong>the</strong> Paulaner Brewery GmbH & Co KG in Munich.<br />
Afterward he was employed at <strong>the</strong> Spaten-Franziskaner-Bräu<br />
GmbH as a brewer. In 2001 he began his studies on brewing and<br />
beverage technology at <strong>the</strong> Technical University <strong>of</strong> Munich (TUM)<br />
in Weihenstephan. He completed his Dipl.-Ing. (Univ.) degree in<br />
2006. After graduation he began employment with Versuchs- und<br />
Lehranstalt für Brauerei in Berlin e. V. as a scientific assistant at <strong>the</strong><br />
Research Institute for Engineering and Packaging (FMV). In 2007<br />
he moved to <strong>the</strong> University Erlangen-Nuremberg (FAU), Institute<br />
for Fluid Mechanics (LSTM). There he is working on a Ph.D. on<br />
“Damage Detection <strong>of</strong> Returnable Goods” in <strong>the</strong> group process<br />
automation <strong>of</strong> flows in bio- and medical technology.