Control Engineering Europe – March 2019

(Rick Simeone) #1
http://www.controlengeurope.com

EDITOR’S CHOICE


6 March 2019 Control Engineering Europe


AI controller reduces downtime


Simplified plant floor to business systems communication


HD optical gas imaging camera


Safety module


saves control


cabinet space


FLIR Systems has introduced a high-
definition (HD) handheld optical gas
imaging (OGI) camera to help improve
inspection safety.
The FLIR GF620 is designed for
the oil and gas industry and is said
to set a new standard for detecting
and visualisng invisible leaks of
hydrocarbons, such as methane, and
common volatile organic compounds
(VOCs).
The HD resolution of the GF
helps inspectors survey for fugitive

hydrocarbon emissions from further,
safer distances than possible with
lower-resolution OGI cameras.
Equipped with a 640x480 infrared
detector the camera is calibrated to
measure temperature, allowing the
user to assess the thermal contrast
between the gas and the background
scene, and adjust it to improve visibility.
The FLIR GF620 also includes a high
sensitivity mode, which accentuates
plume movement to improve
detectability in low-contrast scenes.

A new B&R digital output module, the
X20SO6530, provides six safety relays
on a unit with a width of just 25mm,
offering a cost-effective and space-
saving solution for applications where
numerous floating signals are required.
To meet safety requirements,
positively driven feedback contacts
must be evaluated in a manner that
is appropriate for safety technology.
The new X20 module evaluates this
data internally, making it just as
easy to use the six safe relay outputs
as it is to use semiconductor-based
outputs. The digital output module has
single-channel isolated outputs with
a maximum switching capacity of 230
VAC / 6 A or 24 VDC / 6 A.

A new solution for predictive
maintenance and control is available
from Omron Industrial Automation
Europe in the shape of an AI machine
automation controller with a Sysmac
library which fuses control functions of
manufacturing lines and equipment with
AI processing at manufacturing sites in
real time.
This new solution aims to help reduce
the risk of equipment damage and
downtime by detecting issues early.
The process of collecting raw data
from machines is completely automated
by the new controller which operates on
the Edge, within the machine, ensuring
higher data fidelity and consistency.
In addition, the controller
automatically creates data models
from correlation analysis and monitors
machine status based on that model.
The AI functionality in the controller
is able to identify unforeseen machine

behaviour without being explicitly
programmed to do so. Since there
could be many different factors and
measurements that indicate an issue
when observed together, automating
the feature extraction process saves
time and resources. Rather than being
a cloud solution, Omron’s approach to
AI-based control involves hardware,
software and in-person service. No
internet connectivity is required. The
hardware is based on the Sysmac NY5 IPC
and the NX7 CPU and includes Omron’s
AI Application Components, a library of
pre-programmed predictive maintenance
function blocks. Several additional AI
specific utilities are included, such as the
Time Series Database Function, which
collects and accumulates time series data
synchronised with the control cycle at
high speed, and the AI Engine, which
detects unforeseen abnormalities at high
speed and accuracy based on the data.

Red Lion Controls has added new
capabilities to its Crimson software,
including an OPC UA Client driver with
encrypted password support, OPC UA
Historical Access, an MQTT connector
for Google Cloud and store and
forward buffering for all Crimson cloud
connectors.
With an OPC UA client driver the
Crimson 3.1 is able to capture attributes
such as diagnostic and performance
information of the data tags of a target

OPC UA server. With this added capability,
most Crimson 3.1-based devices can
act as both OPC UA server and OPC
UA client. This is said to simplify system
architectures, increase scalability and
accelerate data integration initiatives
with no need for additional hardware
and with no software customisation
required. In addition, OPC UA Historical
Access ensures the transmission of
real-time and historical data directly to
enterprise business systems using a single,

easy-to-use environment.
On devices with an SD card, the
MQTT connectors of the software can
be configured to buffer data within the
device when a connection to the target
platform is not available. This feature can
be set to indicate whether data should
be buffered just to memory, or whether
the device’s SD card should be used to
provide further storage that will survive
a power cycle – enhancing reliability and
increasing resilience.
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