Hello and welcome to R accelerate session.
I'm plant site how to build digital Twins.
I am Rob Harper, director of business
development for plant site who's
going to be presenting this session.
The agenda for today is starting with
how we build a digital twin So what
sources that we're using in order
to build this digital twin and how.
We're going to go about the
process and will go into the actual
creation of the digital twin and
then a little bit at the end.
About how we catch capture digital Twins
using context capture and some tools that
we have for classifying those objects.
So when we look at how
we build a digital twin.
We want to really examine the different
sources of data that we could bring in.
Line as we build a digital twin.
Given enough time,
we would want to show the ability
to import all the different sources
and link them to sensor data and.
ERP systems, but what we will focus
on is some of the engineering
data from disparate systems that
we want to be able to align.
So that starts with 3D models.
These can be from our own
systems or other systems.
Similarly, PN IDs either from.
Systems that Bentley owns or
3rd party systems as well.
We have unstructured data from
XLS files that contain process
data related to the assets in
your facilities so these can be.
Process data sheets specification
sheets primarily the ones that will
look at here are list documents like
equipment list lying list instrumentalists.
Things of that nature.
Finally we want to be able to show
how reality model data can be
aligned with your other engineering
data sources as well so as I
mentioned at the beginning.
Will look a little bit at context
capture data and how that data
gets into our digital twin?
With landslides workflows that will talk
about our around the design of your facility.
The building of the digital twin.
And then using that digital twin in
operations an maintaining both of the
facility and the digital twin itself.
Design work will start with the
synchronization of data from your
design tools to the plant site project.
So this involves all of your
typical engineering workloads
through the conceptual and detailed
design phases of the project.
So that will involve for us.
That's your open plan products that we're
going to take the open plant design.
Uh information synchronize that
with the eye model be able to update
that both through the client based
applications and through the web as well.
To visualize the results to be able
to look at both the PN IDs in the 3D
model an interrogate between them.
And your design reviews and possibly
even clash detection there.
So we're not covering the design
work clothes here in this session.
This would be covered in a separate
accelerated session called accelerating
your plant projects using a component
based solution using eye model hub
with a boss Ali as the presenter.
So if you need more information about
the design workflows with plants.
I'd look for that session and you should
be able to find the information about that.
In that session later.
What we're going to cover in this session
in particular are the workflows around
building your digital point those steps
are to acquire the different data sources
an important them in the plant site.
2 then align those different data sources
of data through the Aggregation app to
visualize the different context together.
And to be able to navigate between
them and then see how we use the
digital twin that we've created.
And Mark up in comments on any of those
issues that we see this is going to
allow us to get through the process of
building that version 1 digital twin.
And to be able to then use that in
other workflows later on down the road.
So for the demonstration we're
going to focus on acquisition.
Aggregation an visualization apps
and leave the other leave the other
demonstrations for later time.
For our operations and maintenance workflows.
This is going to be covered in
separate accelerate sessions as well.
In particular,
a session entitled Plant Site Analytics,
which is presented by Aaron Beasley.
So if you want more information about the
operations and maintenance workflows.
Look for that accelerate
session online as well.
So let's talk a little bit about
digital twin creation and how
exactly we're going to do that
using our tool called plant site.
Client side enables you to go on the
journey to a performance digital twin.
This journey allows you to have
clarity across all of your as is
plant information integrating
that those different data sources.
Which can start out as dark data can
be you know data that's in a bunch
of disparate databases data that
is unstructured data that is just
sitting in different repository's.
And what we then do is capture
an incorporate all of that data
together and then add reliability
strategies to provide you.
With increased asset availability all
of which is done within a connected
open an cloud based environment.
So the first thing we would
do is register a new project.
We can either go with a new asset.
Or use an existing one and then we
want to go through and select the
people that are going to be working
on that project so we can add.
Our users to the project create roles
for those users and then provision
that project with a schema that
we're going to import data too.
So at this point we can use an
existing class editor kind of
tool to make modifications to
those classes in properties,
so for instance,
if the data that you have in your?
Tools has been modified if you've made
extensions for specific attributes
that you've added as as you know,
some of your own knowledge.
Then we want to be able to integrate
that into the solution as well.
So once we provision the schema
into the project.
We can then go in and start the
process of incorporating this
new data into the digital twin.
So we can then go back to the
plant site portolan select data
acquisition and start with the
import of the different acquisition.
Our sources that you aren't
whether it be Excel or PN IDs
or 3D models or what have you.
So with 3D models in particular,
we're going to make a
connection to the 3D model of.
Database itself using what's called
a bridge and those bridges will then
allow us to import any of the data from?
Tools such as PD FC3D Smart,
3D and bring those into the plant site.
We have separate methodologies for
our own systems like auto plant
and open plant but we wanted to
be able to run the entire gamut
of different different tools that
we'd be able to bring in.
So by being able to look at all
of these different sources of data
and to be able to incorporate
not only our own sources,
but Other 3rd party sources of data as well.
We provide a unique capability to
use the data from all different
data sources in the process
of building a digital twin.
So let's take a look at some
how some of that is done.
So as we go to the data acquisition app.
You can see that I have a lot of
different options here to show.
Either things that have already been
done things that are new or things
that have been aggregated already I
can browse to a specific Excel sheet.
Select the particular Excel
configuration and give a little
description about what exactly bringing
in with that particular import.
So when that is running you'll have
a list of all the running imports.
All of the imports that have been done.
Or when that's completed it would
show up in the completed imports list.
So once that is done,
I can then move onto the aggregation
side of things.
So really what we want to do is
simplify the process of Aggregation.
So aggregation can be a little bit time,
consuming because this is really
where you're going in and saying.
That the information from this
particular import is now aligned with
the information from a different
import that you've already done.
So because we're not assuming that
all of the imports that you're going
to do are already pre aligned so.
Because some of it's going to be
unstructured data and some of it might
be a little bit older and out of date.
We're also going to have conflict
resolution tools in there that are going
to allow you to take that aggregated data.
I'm sorry take that required
data and be able to look at the
aggregation of those pieces and say.
You know this is the data
that's correct that came from.
This data source.
But here are some other pieces
of data that came from this.
Other data sources well that my
first data source didn't have but
I want to combine those 2 together.
To form up into the digital twin
and then once
I'm done with that,
I can visualize that data.
All of the aligned data that I
have in my new digital twin.
So I want to go back to the import that I
just did an hit the aggregate button, so
this will kick me into the Aggregation app.
Where I can then look at the list of check
valves that I already have and then here
are some that are from the new import.
So because I've already brought in for
instance, the PNIDI can now line the
data that came from that equipment list.
Or that valve list in this case
with the data. That's already there,
an merge those 2 objects together.
So by taking the stuff that I
have in Excel and merging,
it with the things that I now
already have as part of the
existing plant structure due to my.
Import I can then do finish my aggregation
and move on into the visualization part.
In the Visualizer I have the ability
to cross pro between all the different
sources that I have so I have a
tree structure that allows me to
navigate based on the existing.
Plant breakdown structure in my facility.
I have a 3D model that I've already
brought in and I have the PN IDs
related to this as well.
So I can select objects in the PNID
and it will automatically navigate to
those into 3D model and in that review.
And I can select objects into 3D
model or that review an it will
do the same thing as well.
So the nice thing is I can also flip
these views, I can go to the PNID.
And start the whole process over
so if I select things in the tree.
It will automatically navigate
to those in both of the other.
Visual pains as well.
This gives me a real nice capability
to be able to go in and look at all
of the different sources of data that
I haven't find objects that I need to
when I'm in particularly dense spaces.
The Visualizer also has other
tools that I will need to isolate
particular objects that I want to see.
To allow me to?
Look at that in you know in the
context of maybe just an area itself,
I can also go in.
And I can do section cuts so I can
look at sectioning by plane and I
can see you know different different
cut sections of the facility.
And you know,
maybe I just want to cut to an
individual level in the pipe rack or
an individual level in the structure.
And make those section cuts to
give me greater visibility into the
pieces of information that I need
at this present point in time.
So we also want to look at other
data that we want to capture
as part of the digital twin.
So we can talk about all of the
engineering sources of data that I
have and we look through some of
those with 3D models and P 90s and.
Equipment lists and things like that,
but we also want to look at existing
site conditions So what other data.
Can I bring in?
That will help Maine fill the
gaps between some of the some of
the sources of data that I have.
And to actually ensure that the
3D model that I have is up-to-date
with the current state of the
facility and that's really going
in and looking at context capture.
So I can go out and capture
the existing plant using those
existing site conditions leverage.
The plant design models with
this now existing.
Data from my Contacts capture
model to be able to verify that
information and fill in any gaps
and make sure that my digital
twin is always up to date.
Thereby improving my liability an
asset performance along the way.
So here I can start with getting
into getting into plant side again.
I'm going to look at the acquisition tool.
An in the acquisition through I'm
going to add a new import for Excel.
To go in and add some existing gate valves,
so that gate valve list will show here.
I want to make sure that I have the list of
existing assets in my in my digital twin.
So that when I go to import the
context capture modeling to classify
it that I'll have all the information
that I require in order to build
the digital twin against that.
So again once this particular
import is done, I can aggregate.
This data into the digital twin
and I can have that available
for when I bring across the?
The context capture model.
So here's that gate valve list.
I'm going to go to the aggregation tool.
aggregation tool, I can choose to
select some of the valves are all the
valves that are there in this case.
I'm going to select the entire
folder worth the valves.
Over into the digital twin
and save this change.
Marilyn, the context capture side of
things you'll see that we've gone
out to the facility and taken a list
of photos so we've got 17 photos.
And the artificial intelligence
routine that we've done is recognized
you know additional objects that are
in the photos that we have taken.
So each of those photos has shown
some of the valves that we have out
in the facility because we want
to be able to run our AI against
the existing photos and be able to
classify those objects and then
find similar objects to that.
So we're going to draw a box around
one of these valves classifier that
object as a valve so that we can run
our algorithm and make sure that
all of the other valves that are in
the facility can be found as well.
So once we've done that classification,
we can see that it started to select
other objects that are of the same.
Type so we can find similar objects
in the facility again on the next
photo we can do the same.
We classify the single object and
it will go in and then we can do.
The training job and select additional
valves that it'll find so now it
will go through.
And it will run that job looking for
additional objects that fulfill the same.
Uh type size,
an classification as the objects
that we've started with.
So while we started with 17 photos.
We could do a larger facility as well,
and you can see here that we
have submitted 158 photos.
So doing a larger job of the same
type by classifying the same types
of objects and going in.
And running this 2D detection algorithm
to find other objects of the same
type that are part of this facility.
So now, what we have is a classified
context capture pipe rack.
That we can go in and we can look
and find that there are objects here.
That are instead of it just being
a reality mesh that I now have
classified valves as part of this.
Object and you can see the red
boxes around all of the valves
that it's gone in an classified.
So all of those are now recognized
as a valve object instead of just
part of the overall reality mesh.
So when we merge this into the digital
twin we can do some classification of
those objects so that when we Have this
existing pipe rack that we're trying.
This new facility into we can also
classify those objects in the pipe
rack against our digital twin.
So will zoom in a little bit on the
pipe rack that we've brought into our
digital representation of the facility.
Using some existing objects
and some new objects as well.
But we've also done some classification.
So now I can select one of these valves.
See through the through the hover
over that object is already been
classified as a gate valve with
a specific specific tag number.
So I can take that gate valve
that has that tag number.
And I can merge that into
my existing list of valves.
So if I know that that particular gate
valve is V 131 in my existing facility.
I can merge those 2 objects and save that.
So now when I go back to
The digital twin and take a look at
that object as part of the digital twin.
You'll see as I zoom in that not only
will that vow be classified as the
original object name that we had given
it from the from the tag structure
that that we pulled off of the.
The name plate of the valve,
but we also associated it with
something that was already in the
digital twin that came from could have
come from a pid could have come from?
Model could have come from a list.
And now when I select that object it
navigates to the appropriate valve
in the plant structure and I have.
All of the attribute properties that
came from my other imports that are
accessible right here in the property pane.
And the same cross drawing tools that
work before will now work with this
new context capture piece as well.
But I'll be able to zoom out and
then by selecting that valve zoom
right back in to wear that valve
is in the context capture model.
As well as if it was in a P90
or 3D model as well.
I want to thank you for your time
today and appreciate you looking
over how to build a digital
twin with plant site. Thank you.