Real Time Is Real How To Use Event Intelligence Tools To Manage Complex Operations In Real Time
In this video, we discuss how you can create a Common Operating Picture from your existing data and systems that will put you in control of your operations in real-time, without kicking off...
Transcript
In this video, we discuss how you can create a Common Operating Picture from your existing data and systems that will put you in control of your operations in real-time, without kicking off... welcome to this overview presentation on
xmpro's event intelligence tools that
help you manage complex operations in
real time at scale XM Pro enables you to
create a common operating picture that
informs you of what business events are
happening or likely to happen and put
you in control of how you respond to
these events that impact your operations
I'd like to start with an example of an
XM Pro customer who got this right
This Global Mining Company reduced
underground conveyor downtime for a
specific failure mode by more than 70
percent and as a result I gained 184
hours of additional production equating
to about 44 000 product tons for this
particular mine all this happened one
mile underground and XM Pro provides a
common operating picture for 52
conveyors covering more than 50 miles or
80 kilometers of underground tunnels
this common operating picture is a
simple London Tube map star
representation of the underground
conveyor system at the start of the
project the XM Pro recommendation engine
identified many high and medium severity
events that needed to be responded to
before the motor protection would trip
and stop the the conveyor system
five months later the picture changed
drastically there were only a handful of
medium severity events and the
maintenance planners had more than
enough time to address these in advance
the overall time to resolve new events
decreased drastically from 556 hours to
276 hours as reliability Engineers now
spent more time during the initial
investigation phase which has gone up
from 1 hour 46 minutes to 12 hours 42
minutes these Engineers now have the
right data to address the real causes of
downtime at the right time
not only did they manage to address
downtime of the conveyors for specific
root causes but they extended this
common operating picture to underground
borers and in the following six months
they added pumps crushes fans and some
money some management oee kpis to the
operating picture
with the XM Pro digital twin composition
platform that could add capabilities
incrementally as they built out new
event intelligence
that the common operating picture
provides this includes adding computer
vision to detect splice failure on the
conveyors for example
by also combining the conveyors with the
Boris and the Hoist they created an
underground digital twin that provides a
real-time common operating picture of
the crucial and critical subsurface
operations with prescriptive
recommendations that provide a
consistent response to events that are
happening or are likely to happen
the leadership of the company saw the
fact that their own Engineers were able
to compose this operational view
themselves as the real digital
transformation that they were seeking it
provides them with a competitive
advantage that drastically improves
operations
it further enables them to add
additional capabilities to existing use
cases in an incremental way to create
composite or system digital twins
combining the conveyor in the borers as
a basic underground digital twin
provides a common operating picture of
the combined assets that form a key part
of the underground operations
the example common operating picture
delivers greater than 10x return on
investment in the first year and the
time to value for the first use case was
less than 30 days it also enabled the
business to capture expert knowledge as
part of the process and currently it's
processing about 42 million messages a
day which equates to about 340 million
data points so significant scaling from
that perspective
so what problem is XM Pro solving for us
real-time operations is real every day
your business is exposed to more and
more internal and external events that
need to be responded to
in real time and these events can come
from
the actions of people in your business
the actions of your competitors
customers legislators suppliers
equipment that break down process
failures severe weather events the
operational intelligence that you gather
from all the other business systems that
you have all the other data sources and
web services
and currently we've seen the influx of
information from internet of things with
sensor based or smart device or
machine-borne data as part of this
Village of information that come at you
now how you respond to these events is
really the key
and the value of real-time information
that you receive on when things are
happening or likely to happen and
depreciate over time so when you know a
certain condition exists you have
limited time and depending on what it is
what the event is that time span that
you have to to respond to it very so you
want to be notified when these things
happen
now for us event intelligence is that
ability to still impact the outcome of
the event so it's typically as you see
here the sand is still flowing before it
lands and it settles then it becomes
business intelligence then I can do
reporting on what were my failures what
were the losses what we're trying to do
with the event intelligence and the
problem that X and pro is solving is how
do we how do we impact the outcome of an
event by having the ability to intervene
now this sounds
um
very straightforward but why is this odd
it requires subject matter experts to
understand have the knowledge and
context of the problem that needs to be
solved in real time then you need to be
able to
do the data engineering bring that
real-time data in do the orchestration
before you can create an application of
that in terms of a digital twin or a
application that can that can inform you
of the event that's happening and most
organizations have a challenge just
putting these three foundational things
together when we talk to operations
managers what we hear they say is they
just don't want to be blindsided by
business events or operational events
and this is not just in a certain area
but it's actually it spans across all
the areas in terms of the actual
production manufacturing processes the
asset health and performance
the environmental safety risk people in
HR processes and more and more Supply
chains all these events and the
combination of events causes a real
headache now this is where a common
operating picture provides information
at all levels of the organization to be
able to address that what we also hear
is that they want to reduce the Reliance
on third parties to create this
competitive Advantage because their
subject matter experts in the business
have a deep understanding of how it
works and most of the technologists
reliability Engineers automation
engineers
geophysicists people like that the the
technical business technologists have
more and more technical skills they are
technologists
so what you want to do with them is
given the ability to take some templates
and blueprints and expand on those to
create this so for that you want you
really want a no code application
composition kind of approach for those
subject matter experts they don't have
to code but they understand exactly what
they want to create and do that in a
composable fashion
the last thing we hear they say is that
they want to digitize and automate event
response so the
real objective is to be able to bring
all of the data from all these different
systems that you already have in the
business without ripping and replacing
them and automating that so that there's
Real Time Event detection and response
and this needs to be scaled out in a
large complex organization so for that
again you would want no code integration
with the orchestration and automation
capabilities now this is where
composable digital twins enable you to
actually create that event-based common
operating picture at scale
the notion of a common upriving picture
actually comes from emergency and
natural disaster response as well as
from the military we're at a strategic
tactical and operational level everyone
looks at the same data but from a
different perspective so it's all the
same data at the same at the different
levels but different perspectives on how
this is used
and the common operating picture from at
the Strategic level may have a higher
level in just in terms of kpis and
monitoring across a broad range at a
tactical level it's more of a planning
a lens that is applied in operational
level it is what is happening on a in a
very specific area around a specific
asset or production process
and you want that common operating
picture to be agile so that you can
change it as your business strategy or
some of the business conditions change
you need to be able to do that quite
simply and you want to you also want it
to be composable and maintained by your
own smes and bringing the data from all
the systems that you already have to
give you automated prescriptive
recommendations making sure that
different people have the same
actions on the same data set so to
create consistency across the
organization and being able to capture
the knowledge from experts in your
business and your future support that
with AI and machine learning and this
will enable you to close the loop on
actions it will provide a very
consistent way of dealing with certain
events happening in a by providing
prescriptive recommendations and a key
aspect is that you can actually use this
to create a self-validating digital twin
that continuously Monitor and validate
as it sits now how this common operating
picture fits into you in most typical
organizations you already have assets
that have sensors scada plc's all of
that there's hundreds of different
systems in your business already
historians erps all sorts of operational
databases and we're seeing emergence of
AI and machine learning tools and a
whole bunch of other third-party
applications and what you're trying to
do is manage that through people
processes and Technology automation that
you may already have so how you respond
to that when things happen now
the first part as we mentioned in the
event intelligence part is being able to
take the data in from all of these
different systems how do we take the
signals the data all of that into
and take the millions of data points and
reduce it to the the key events that we
are looking for whether production
events asset
health events or ESG and other risk
based events as well so how can we take
all those signals provide context to it
and then use that and the key few events
that we've that we've identified that
event intelligence create that common
operating picture at the Strategic
tactical and operational levels all the
same data nothing upwardly filtered to
make it look better when it gets to the
highest level everyone looks at the same
data but different lenses and this
provides the real operations
intelligence or the common operating
picture that enables people processes
and automation to actually deal with
that event response and the disruption
management that is associated with that
the other big benefit of using a a tool
like X and pro to create a common
operating picture is you can bring
prescriptive or you can create
prescriptive recommendations for at all
levels in a very consistent way you can
also bring in alarms and alerts from
other systems into this common operating
view again to make sure that
recommendations are consistent across
the business
so XM Pro in itself well the the this
enables you to empower your your
smartest people to pull the the value
levers that align with your your
business at all levels it reduced the
risk of being blindsided by key business
events that are happening or likely to
happen and it improves accountability
and close the feedback loop that
provides availability visibility and the
opportunity for learning
example itself is a digital twin
composition platform that accelerates
operational and situational awareness
and we do this in a now code fashion
for those industrial business
technologists to be able to create a
common operating picture composable
digital twins that are more complex and
then real-time event intelligence
applications
and we do this
as a business capability to to help with
safer green and more responsible
industrial operations and doing it
faster so that there's a there are
higher efficiencies and economic return
for everyone in the ecosystem talking
about the ecosystem
in the specifically in large complex
environments there is a ecosystem of
existing applications and the role that
XM Pro fulfills in this is is
orchestrating and providing the
composition from all of these different
systems to create that composable
digital twin that that will give you a
common operating picture so
bringing in or not it's not replacing
and ripping and replacing all any of the
systems that you have but it's more
around how do we integrate and and
orchestrate the information and
capabilities from the different systems
now this application composition
approach is not a new thing and it's
for example this is positioned or this
is from Gartner on creating scalable
um composable applications for the type
of industries that or the type of
applications that we see in large-scale
industry and this consists of an
integrated data fabric at the bottom
coming from multiple data sources but
there's this notion of a composition
platform that handles integration
orchestration ux development and you
have packaged business capabilities that
sit within
this that you can reuse so leak
detection or credit fraud or things like
that these are all package capabilities
that you can reuse and some of them
might be application based some of it
might be process based some of them
might be might be data type package
business capabilities but that enables
you to grade
what is what they refer to as composed
application experiences what we've done
at XM Pro we've taken this approach and
turn that into composable digital twins
so xampro is a composable digital twin
platform and help enables you to do
integration composition orchestration
the development side and also the ux for
a whole bunch of capabilities and in our
Industries
the typical data types or physics-based
models analytics iot transactional
systems visual data and master data that
is all combined to be able to create
these type of composed digital twins
that provide a common operating picture
for example on on that long conveyor
predictive maintenance or first pass
yield optimization or intelligent
building energy optimization and we do
that with our data stream designer and
with our application designers the two
main components to be able to compose
these digital twins in a no code way
that are also explainable
and can be deployed at scale the
approach around uh
reusing capabilities is very similar to
what you see with the building bricks
that kids might play with in this
example I can break this apart and for
example build I off-road 4x4 vehicle
reusing many of the parts I might have
to add one or two others and I might be
left with a few ones afterwards but this
ability of composing and reusing Parts
is really how the composable digital
twin enable you to create a common
operating picture at scale
the way that we do that at XM Pro is
really in three steps the first one is
to create those data streams in a visual
drag and drop way and integrate to a
larger library of integration
endpoints that we have and then the next
part is to provide the visualization of
that in real time for the operations
this is where the common operating
picture gets visualized but the probably
one of the more important parts is how
do we make sure that we can action what
comes out of that in a consistent Manner
and that's where the XM prior
recommendation engine comes in
this is a quick overview of exam Pro and
how we deliver a common operating
picture using a composable digital twin
framework to enable you to run your
business in real time making better
decisions faster
Last updated