Chemical Engineering September 2020 - 33

data files end up at the cloud landing
zone, where they are queued for
the first levels of pre-processing. A
selection process takes place ensuring
proper sequencing of data according
to their timestamps. Other
standardization layers ensure that
data are converted into default units
of measure and they are structured
to a relational database. The data
are structured following the relations
and topology of physical equipment.
More details on the topic of equipment
topology are provided below.
Analytics architecture
This section discusses the overall
data flows and analytics algorithms,
providing a better understanding of
the targeted architecture, which is
shown in Figure 3.
Following the standardization path
of the previous section, for every
new timestamp, raw sensor values
are stored in the cloud database.
Apart from operational data, static
LONG-TIME
RELIABLE
A RUGGED-T CONTROLS
OFFERS THE
NS SERIES
NSF61 & 372 Certified
The NS Series ball valves are available in
sizes 1/4 " -6 " with threaded, socket weld, butt weld
(3-piece) and flanged (2-piece) connections.
The NS Series butterfly valves cover
2 " -24 " sizes in wafer and lug style.
Applications
* Water Treatment
* Potable Water Service
* Reverse Osmosis
* Desalination
All valves are easily automated
with our TRIAC® Pneumatic
and Electric Actuators.
information is also stored in the same
database, which characterizes the
different components of the physical
process. Such model parameters
define the nominal expected behavior
of the equipment.
The first step of the process is to
evaluate the collected data for every
timestamp. Targeting to minimize
both the measurement errors and
the model uncertainties, a datareconciliation
method is employed.
Such a method leverages conservation
equations and component
modeling, to correct both measurement
values and model parameters.
The adapted values are stored back
to the database and they will be the
basis of all downstream calculations.
After establishing the monitoring
calculation, the user can assess the
impact of the validated operating
conditions of the asset along with the
deviation of corrected model parameters
by comparison to the nominal
ones. The latter can provide insights
Physical
process
Data
historian
Cloud database
Raw sensor values
model parameters
asset topology
Corrected
conditions
Data
reconcilliation
Starting
guesses
Corrected
models
Simulation
Adjust
conditions
Conditions
evaluation
Optimization
Figure 3. Shown here is an overview of data
flows and analytics algorithms
Physical
models
evaluate
operation
A-T Controls, Inc. | 9955 International Blvd. | Cincinnati, OH 45246 | 513.247.5465 | www.atcontrols.com
For details visit adlinks.chemengonline.com/76994-04
ChemiCal engineering www.Chemengonline.Com September 2020
33
Constraints

http://adlinks.chemengonline.com/76994-04 http://www.Chemengonline.Com http://www.atcontrols.com

Chemical Engineering September 2020

Table of Contents for the Digital Edition of Chemical Engineering September 2020