Identifying Critical Water Infrastructure for Strategic Resilience and Risk Planning with InfoWorks WS Pro and Info360 Asset

YOUSSEF EL FAHAM: Hello, everyone. Thank you for joining our presentation today titled "Identifying Critical Water Infrastructure for Strategic Resilience and Risk Planning with InfoWorks WS Pro and Info360 Asset." I'm Youssef Al Faham, a senior technical marketing manager at Autodesk. And with me are Nathan and Rebecca, who I'll let them both introduce themselves. So I'll pass it on to Nathan first.

NATHAN GERDTS: Thanks, Youssef. My name is Nathan Gerdts. I'm the product manager for our water distribution products. That includes InfraWorks WS Pro that we'll be talking about, as well as InfoWater Pro. Over to you, Rebecca.

REBECCA WILEY: Hi, everyone. I'm Rebecca. I'm one of our technical sales engineers, and my focus is on the water distribution products.

YOUSSEF EL FAHAM: Awesome. Thank you both. Now, before we get into the content and the agenda, we just wanted to, I guess, display the safe harbor statement, which simply, to summarize, it just indicates that if we make any forward-looking statements pertaining to any of our products, we do not want you making any purchasing decisions based on those. So that aside, we can now get to the agenda, which is going to be pretty simple.

We're first going to start talking about some of the industry challenges that we're seeing, and then we're going to discuss some of the key opportunities that should streamline your workflow and facilitate the workflow. Before we get more technical-- into the actual workflow that we're going to be proposing today-- that's going to be the bulk of the presentation. And then we're going to provide some resources, and that would pretty much be the conclusion of the session.

So starting with some industry challenges. It's always very important to start with, why? Why are we talking about this topic? Why is this topic relevant? And we're going to attempt to answer that in this portion of the presentation. So the industry challenges-- the global water industry is faced with a lot of challenges-- a lot of them. So starting from water scarcity, to aging infrastructure, to things like water quality, financial constraints, climate change.

And it doesn't end there. There's actually quite a bit more. So there's regulatory compliance issues. There are challenges with technology adoption, and also challenges with workforce development. And these are things that are true across the board globally, irrespective of country, state, or any boundary that you draw on the map. Now, since I'm based in the US, I just thought of taking more of a national look at some of the challenges that exist nationally.

And, by the way, a lot of them follow the global challenges. But I just thought of incorporating some results from a recent survey conducted by the American Water Works Association highlighting some of the top challenges that are facing the industry based on industry feedback. So what are those top five challenges?

Respondents identified source water protection, financing for capital improvements, renewal and replacement of aging infrastructure, long-term water supply, and financial sustainability as the top five challenges nationally for the water industry. Now, that said. It seems like there are a lot of challenges. And I came across this quote as we were preparing the presentation, which I just thought it was very insightful of positioning the challenges and the opportunities.

So the quote says, "Water professionals are navigating this complex landscape through collaboration, education, and investments in people and technology." And pretty much our focus in this presentation is going to be on the technology component and how technology could be used to solve a lot of the water industry challenges.

Now, admittedly, technology is very broad, and it could mean a lot of different things. What we're going to be referring to and focusing on in our presentation today, it's going to be technology investments in the water industry, obviously, in the context of the top challenges. And those technology investments that we're going to focus on are going to pretty much be two things. The first one is going to be hydraulic modeling software, which the most basic definition of a hydraulic modeling solution is a representation of a physical network to understand and predict the systems' behavior and response.

The second component of that is going to be asset management software, which, again, the most simple definition is going to be a digital representation of a physical network to prioritize asset maintenance, repair, or replacement, and to make sure that funds are set aside to pay for it. So these are the two, I guess, slivers of technology that we're going to be focusing on for this session, primarily to tackle the industry challenges that we highlighted earlier in the slides.

So to take a deeper look a little bit on hydraulic modeling and asset management, we just wanted to, again, level set on what we define them as-- pertains to hydraulic modeling and asset management, and what they're used for. So hydraulic modeling is done with a lot of data. That data could be asset data, telemetry data, billing data, operational data, and many other types of data.

And the reason hydraulic modeling is of value-- there are many reasons. But the key things that we're going to focus on are primarily tied to strategic master planning, which is just thinking about how you can go from today to tomorrow and what you need to incorporate into your system to get you there. So that is strategic master planning.

And then there's also tactical capital improvement planning, which is more actionable than a master plan. So a master plan is higher level, and a tactical capital plan is more budget and timeline focused. So that is one of the core values of hydraulic modeling.

And similarly, with asset management, it is done with a lot of data. Some of it overlaps hydraulic modeling. Some of it is a little bit different. But some of those data types include asset data, geospatial data, inspection data, and work order data. And the why pertaining to asset management is for strategic and tactical asset management, which is, again, similar to hydraulic modeling. It's higher level and more budget and timeline focused.

And the key value of asset management is you want to be able to prioritize your budget expenditures through risk analysis and rehabilitation planning. So no one has unlimited budget. And that's where asset management comes in handy, to make sure that you're spending your money on the right projects in any given fiscal year.

So do these two come together, hydraulic modeling and asset management? And the answer is, yes, they could. They don't always come together, but they could. And when they come together, in industry, the term becomes risk-based asset management. So when hydraulic modeling feeds asset management for you to develop your capital expenditure priorities based on that, it is something called risk-based asset management, where maintenance, repair, and replacement is focused on two things-- your asset condition and risk scoring. And that risk scoring is developed using hydraulic modeling results as an input.

So that is where asset management software and hydraulic modeling software both come together that-- to help you proceed with a risk-based approach to asset management. And you can compare this to a more conventional, traditional approach, where asset condition is the only component that is used to prioritize maintenance, repair, and replacement activity.

And so what we're going to be-- pretty much the summary of the presentation is going to be two things, highlighting the value of risk based asset management and showing how you can do risk-based asset management with hydraulic modeling and asset management, and what that workflow looks like. And so with that said, hopefully all of you by now are convinced that risk-based approach is the path forward for you for asset management.

And then we're going to segue now to some of the opportunities that exist between hydraulic modeling and asset management software, and that could support you to get you-- to get to risk-based asset management. And for that, I'll pass it on to Nathan, who's going to touch on the key opportunities for you here.

NATHAN GERDTS: Thanks, Youssef. So we've just looked at a number of the challenges that the industry faces. We highlighted a couple of the technologies that have been used in the industry for many years. And what are some new opportunities that we have that are emerging that we can better solve those challenges?

So as we step forward, there are two things that are going to come into this slide that are really going to be some of the highlight of what we'll talk about. So there are two key opportunities in the cloud, first of all. So hydraulic modeling, as we start to take that capability and empower it in the cloud, we can start to rapidly compute many different types of analyzes and leverage parallelization to explore much greater depth in terms of how assets perform on a wide variety of scenarios to really get a more diverse, holistic view of the risk. So that's one exciting opportunity that has not really been possible before on standard desktop computing.

Another area where the cloud enables improved workflows is with asset management, and it's namely having asset management in a cloud-based platform. So this is where, within asset management, you need to incorporate many different people, and data, points of view, and enable these different stakeholders to be able to understand asset and make better decisions. And so having a cloud-based platform is able to bring these different people together and empower them far better than traditional desktop software that usually focuses on one workflow at a time.

And in addition to the cloud, the other final piece that we'll be talking about is integration, namely-- largely because of the cloud, we can now start to integrate these two workflows far better to simplify the data exchange between models and assets.

So starting with the cloud, just to dive into that topic a little bit further, the cloud is where we can improve and go further with hydraulic modeling and asset management. So with hydraulic modeling, in the cloud, we can leverage massive parallelization. And that is particularly useful for asset management, where you may want to look at many different scenarios of criticality.

For instance, each pipe, if it were to fail, what would you need to do? You'd have to isolate it, and then you'd get one simulation for that one instance. But across all of your thousands of assets, you need potentially many different simulations you might need to explore.

So we took one real-life example using a model from a client that is-- the model has around 50,000 pipes. That's a rather modest size of a system of a city. And in order to simulate all of the different criticality cases, we had to run 5,000 different simulations with that 50,000 pipe model running a full day to simulate tanks draining and things like that. So on a 16 core desktop computer-- a high-spec engineering workstation-- that analysis takes 300 minutes. And that's on a relatively newer machine.

When we run that in the cloud, we can get it down to 15 minutes, which is a pretty significant time savings if you consider that maybe after you run that analysis, you might realize I made a mistake. And now I have to redo the whole analysis and wait another several hours. So we just took that simple example and extrapolated it.

So here we see a graph where a typical computer with four cores, as you start to increase the number of simulations, it can take dramatically longer. 16 cores is this blue line. And the cloud, you can save time significantly. And notice that this y-axis has the analysis minutes, the total wait time, and it's on a logarithmic scale. So if you go from one line to another, that's 10 times the amount of time that you're sitting around waiting for a simulation to happen.

And just one sample screenshot from our software when we ran this analysis. You can see this is the log of the jobs. And on this row where we run tasks 1 through 5,500-- basically all the analyzes-- it only took 6 minutes to run that all in the cloud. So it could dramatically parallelize-- if you wanted to run another 5,000, maybe you're really only adding 6 minutes to that. It came to 15 minutes end-to-end because of just the pre-processing and post-processing. So this is enabling you to explore a significantly new degree of detail for assets you haven't been able to consider before.

And in addition with the cloud, this also really empowers asset management. Asset management is really a holistic discipline where you have asset inventory, inspection data, work history, asset condition, risk scores, rehab actions. There's many different components and many different teams and individuals that all need to contribute access, weigh in their perspective, and also access the asset management platform to make better decisions in terms of what they do for assets on a day-to-day basis. So having a simple, EasyWeb browser with a login to connect all these users and workflows is essential.

So that is the cloud. And then next, we have the integration, where, when we can bring these two together, you can get a lot more synergy. So today now, with our software, you can easily push results from hydraulic models to the asset management platforms. So you don't need to manually import and export data. That's typically a process where it can be error prone. Sometimes you have to do manual cleanup.

And it really hinders the ongoing connection as, without this kind of integration, usually there will be a transfer of model results once. And then that only happens once every few years because manual processes take time. But now that it's integrated, you can do this much more frequently. And this really enables a more holistic risk-based asset management approach because the two could be communicating much more regularly. And so you can incorporate those model results into your risk score, which we'll dive into in the coming slides.

So those are a few opportunities. And I'm going to hand it over to Rebecca to start to introduce the proposed workflow of what we can do with the software.

REBECCA WILEY: Thanks, Nathan. So yeah, through the next section, we'll look at some of those opportunities and how we can really advance those with our technology. So just to set the scene of-- Nathan has outlined what we can hopefully do with our technology. And this is some of the areas that the water solutions within Autodesk fit.

And so we have the water distribution products. So this is looking at the supply to household and businesses to ensure that their drinking water is safe and reliable. So we have two solutions that enable you to do that. And from a flooding, flood management, sewer, and stormwater perspective, we have InfoWorks, ICM, and InfoDrainage, which allow you to model, design, and analyze those systems to look at root cause and different optioneering to move forward with projects. And those three sections, as it says, are our desktop solutions.

And then as we're moving further into the cloud solutions, we have asset management, which Nathan touched upon earlier, and some analytical-based solutions for networks, as well as treatment plants and assets. So today, we're going to be focusing on the water solutions, as was touched on with the challenges earlier, and Info360 Asset as we move from the hydraulic modeling outputs into creating that asset management workflow.

So what is that workflow? So to start with, we have the hydraulic modeling at its core. And that enables you to have an understanding of how networks behave. All of our assets for water distribution are underground. We can't really see how they're necessarily operating. We can't always see where those assets are. We can't see the condition, and we can't see how water is moving throughout the network.

And so we have these hydraulic models that enable us to have that understanding of where water is coming from, the-- ensuring that everyone is getting water all throughout the day. When we have to do maintenance and operations on the network, how will that network change and behave so that we can design and manage the network as efficiently as possible?

So we'll look at that and what that means and some more advanced analysis, then moving into the types of analysis we can do around asset management. So looking at assets, getting an understanding of which assets are risky, and where we might have vulnerable assets that could affect the most important thing of the continuous supply to customers and businesses.

We'll then look at sharing that information. We don't want to keep that hydraulic modeling information, which is so rich with information, has so much information that other areas of the business, can utilize, and can share, and understand to make their jobs better and the decisions they make better-- we'll look at how we can share that. That will then lead into our asset management, risk, and rehab plan and how that will be important going forward.

So to start with, we'll focus on the hydraulic modeling aspect of that. So when we think of hydraulic modeling and the solutions that-- and the results that we can get out of that, the simulations that we simulate on the network are physics-based calculations. And those enable us to see summary results, which we can see on the right-hand side there, how pressure is changing throughout the network-- this could be water quality results or other aspects of the network that we want to understand-- and have that summarized for us.

And then we can also see more specific information about assets. So individual asset information-- levels in reservoirs, for example, linking that to live data that's coming from the field and how the specific results of that asset change over time and change throughout the day as people are using water. So by using this and having this type of analysis, we're understanding the network now. And as I was saying, as we design, and manage, and do long-term assessments of our network, these simulations and the results we get out of them are very important.

And the types of simulations that we do can give you different levels of information. I touched before very briefly there on water quality, but you may just want to have an understanding of your current network-- where water flows, how fast it flows, the pressures that people receive. But there are more complex things that we can do, as well. So we could look at water quality, ensuring that everyone has safe water, where they get their water from. We can look at the cost of that network.

Water distribution networks are all pressurized, and so there is a lot of pumping involved. And so we might need to understand the cost of that and how we could look at optimizing that, as well as moving on to things like fire flow to ensure that there is sufficient pressure within the system for fire supply, and then things that we will talk about further looking at risk and critical assets.

So these are the three that we're going-- that we have focused on. We have the standard simulation that we looked at just there on the slide, and we'll look at further. So this is just looking at how the system is operating, getting an understanding of the levels in reservoirs throughout the day, and various things like that.

And we then have the critical link analysis. So this is looking at the impact of a asset failure. So that could be a pipe or a pump. And if that was to fail, what would be the effect on the network? How many customers would be affected? What would be the resulting change of pressure? And we need to ensure that we can understand that, as I said, because these systems can be so large, and we need to prioritize our investment as much as possible.

And then we have the Generalized Multi-Run. So this allows us to have a whole range of use cases for this. And there are a range of examples on the screen there. But as we go through, and need to look at larger networks, and want to get more and more analysis out, especially as we move into asset management, we need to be able to do things en masse. So with the easy wizards within the tool, you're able to replicate different things and get your summary results out for multiple assets at the same time.

So, as we talked about at the beginning, we have the two solutions, InfoWater Pro and InfoWorks WRS Pro. So InfoWater Pro, it allows us to do the standard simulation. And InfoWorks WS Pro allows us to do the three simulations that we're going to talk about through the presentation.

So to start with the standard simulation. So this is within InfoWater Pro, and it will allow us to simulate the network. Here we can see different pressure zones. We can see pressure and flow distinguished by the different colored pipes within the themes on the screen. And we can see here the graph of one of those pipes. And here we are associating that information with assets so that we are then able to share that information out of the hydraulic modeling solution and move that forward to make asset management decisions.

So we also, when we look at InfoWorks WS Pro-- you may-- as well, when we're simulating different operating conditions, we have the geographical interface, allowing you to see where those assets are. We have the graphs for different times of the day. And we can see that we've got changing flow and velocity on the pipes, which enable you to get a full understanding of where you might have issues within your network, where you might have areas of high flow or high velocity, which could be causing you more issues with your assets. But the interfaces is geographical, enabling you to really see where you are and see if there's a concentration of those pipes in a specific area.

We're then able to, as we did with-- as we could see with InfoWater Pro, we exported that information out of the solution. We were also able to export these results out into Info360 Asset. So here, we're using a query to be-- being specific with the information we want to export. And we can see the information here that we're going to export. These models contain such a vast amount of information that we really want to try and prioritize the kind of results that we can get. And as we're getting results on each individual asset, we want to ensure that the information coming through is as useful as possible.

So as I said, there are a range of outputs that you get on every pipe. And you would often simulate a network for a whole 24-hour duration because consumption of water varies throughout the day. And so different results from the effect of that change throughout the day. So we want to understand that.

So we may look at more specific things, such as the average flow rate through the pipe, the sheer stress through the pipe-- so how this is affecting the pipe wall and any condition issues this may be causing as a result of that-- and the amount of times that flow reverses through your pipe, or how this may change for different operations. If you have water that flows in one direction continually, and then that water backfeeds due to a change of configuration, this may mean that the pipe can have-- it can expose the degradation of the pipe and some issues that it may already have.

And then we have the pressure criticality. All pipes are designed to be a specific pressure rating by the manufacturer when they are installed. And, as you said at the beginning, we have a lot of aging infrastructure. And so as these pipes are getting older and areas are getting more populated, these are often reaching their limits. And so by pressure exceeding what the manufacturer recommended, we can see where we are more likely to be creating issues leading on to pipe bursts and different things like that.

So we've touched on the standard simulations that I spoke about when we looked at the three different types of simulation. Nathan is just going to focus on the next two. So looking at the criticality of assets. And I'll let Nathan take it from here.

NATHAN GERDTS: Thanks, Rebecca. So with Critical Link Analysis, unlike standard runs, where you're looking at typical operations, here, we're looking at situations where you may-- where an asset may be likely to fail. So for example, in this area on this screenshot below, I've highlighted several pipes that we would isolate. So if you have to do maintenance work on any one of these pipes, you have to go to the nearest valve in each direction. And then that's the area you can isolate.

So these are individual isolation areas. And if you isolate that, in this example, it's pretty straightforward. That red area serves this whole downstream area, and there's no other way to get water to those customers. So if we isolate it, there's immediate impact to all of those downstream customers. And meanwhile, pretty much everywhere else in the network here, these customers will really be unaffected by closing these valves.

So that is one simulation that could inform how critical these pipes-- these three pipes are here, because if one of them fails and we have to do repairs, we have to take these other customers out of service or find a backup way to get water to them. And that's one isolation area. There may be thousands within a larger system. So critical link analysis is really around setting up your configuration and then repeating it thousands of times to get those results-- that impact assessment for every single pipe in the system.

And that could be pretty computationally intensive. However, there are customers that use this workflow and have found it tremendously valuable. One example is Bristol Water is a water company in the UK that serves over one million people. They're in the Bristol area, and they provide water distribution. So no sewer collection. But across their total system, they have nearly 7,000 of pipes serving multiple different cities that are interconnected with water supply to over 1.2 million customers.

And with that many pipes, it's really challenging to be able to prioritize where you're going to make investments to minimize impact on customers. And so what they did was they used InfoWorks WS Pro Critical Link Analysis to simulate that isolation of all of their main pipes. And really, they wanted to prioritize making sure that no pipe causes an impact of more than 25,000 people. And so they were able to set up simulations and run this comprehensive analysis. And it really helped drive their investment plans going forward to make sure that no pipe had too high of a risk on it.

So that's one real-world example. Now let's take a look in the software. So before we jump into the video-- So again, with critical link analysis, we isolate each area throughout the network. You then run a full simulation. We might be running 24 hours because we want to simulate that full impact of even tanks or reservoirs draining down, causing eventual impact to customers. And then from each of those analyzes, we gather out that impact-- those impact metrics to get a summary of the impact from that analysis.

So jumping in, I'm going to just go to my Critical Link Analysis run. And I'll clone it so that we can just take a look and rerun it. So these are the options for critical link analysis. We won't go through the details, but this is a way that you can configure your local standards for what kind of pressure criteria you need to meet for your customers, how long of a gap you can allow where you're out of pressure range. And now we'll go ahead and click Run.

And so because I'm now in a cloud database within InfoWorks WS Pro-- this is an optional feature. Not everyone has to be in the cloud. But if you want to, now your cloud-- your simulations can take place in the cloud. And so though you install desktop software, you run it, your simulations are now happening in the cloud. And so you can see now it's running 500 different test cases. I sped this process up around five times so you don't have to wait for it. But it does run pretty quickly, as you can see. So now it's downloading the results, and it's compiling that summary report. And then once it is done, the job will be complete.

And so now it's done. So now I'll just come in. Let's make a little extra space on the screen and expand this run. So if you open it up directly, you get the Summary Impact Report. So each row is a simulation, and here we can see the impacted properties, the number of hours, and the cost associated for all of that property outage. Now, if I highlight one row, there's only six customers that are impact-- that are isolated, but there are 1,000 properties that are impacted.

So the difference is we can usually know, right, when you isolate, a few customers are just immediately isolated, meaning they can't get any supply whatsoever. But sometimes that can have big downstream impacts, where there's not enough supply. And pressure for the other properties based on the thresholds I've set. So this is one of those specific examples.

And one of the nice things about having all of these simulations in the cloud is it can store the full detailed results in the cloud, in which case you won't need most of them. But there may be certain runs like this, where you want to download it and drill into it in detail. So let's take a look at what that looks like.

So if I click on that row, I can find the simulation in my database. I can also open up the service-level report. So these are the detailed reports for each customer that was impacted. And I can also open up that simulation on the map. So these-- just these two pipes here that are highlighted in red, that is the area that-- that was the small area that we just closed off due to isolation.

And now I'm going to select all of the customers. And let's just take a look. You can see that one small area of the map caused impact on all of that red area. So the whole eastern side of my system was impacted. And so now that I've reviewed the results, now I'm ready to send them up to Info360 Assets, I just right click and say, export to Info360. And it just takes a second to compile the results, talk to the cloud, send it up. And within just a couple seconds, it's done. And so now you've just shared your new analysis after reviewing the results in detail in your modeling software. And so that is Critical Link Analysis.

So now let's take a look at some of the simulations that are available, or some of the outputs that are available. So one output that you get are the isolated customers. So again, this is the count of customers within the supply interrupt-- with supply interruption due to the isolation of the failing pipe. You can also separate out your key customers. And this could be really important because some of those customer points on the map might just be residential houses, which, sure, we care about the count.

But if one of those is actually a hospital, or a school, or industrial facility, that could have significant impact if you even just isolate one of those. So you can pull out the key customers as a separate metric that can drive a really high risk in your asset management.

We can also count up the total number of properties. And so this is every property that goes outside of your pressure threshold. It could be high pressure or low pressure, and you can also give a time window. Because you might not care if a customer is high pressure for five minutes, but you do care if it's more than 30 minutes or an hour and they're with inadequate pressure. These rules are in place because some customers around the world actually have to pay fees and fines based on that number.

And so with that approach, we also count up the total number of hours across all properties. So you get a time-weighted average, and we can also turn that into a cost. So depending on if you have to pay fee as a water supplier, you can apply a unit fee based on the total number of property hours. And that's a monetary driven risk that is immediately felt by some of these water companies. So that's Critical Link Analysis.

There's one further analysis that will touch on. We won't go into too much depth. InfoWorks WS Pro supports a run type called Generalized Multi-Run. And just as the name suggests, it allows you to do a lot of different things. We're not going to go into the details of all those different things, but you can pull out a lot of different results. So really, the gist is that you can customize a series of iterative changes to your network, and then you can configure the summary analysis that you want from each simulation.

And so, for example, maybe you want to break each individual pipe in your system. So those are all of the iterative changes. And then you want to summarize what is the impact to the impacted customers or our water supply. Because if you have a pipe break right next to your water source, that could drain out your tank faster than maybe if it's at the very end of your network, it could have less impact. So that's a different lens from just isolating customers directly. And then finally, with all of these different results, you can join the summaries back to your assets, just as we did before.

So let's take a quick look at one example of this process. So in this analysis, I ran isolation, just like Critical Link Analysis. But you can now really customize one, two, or three-- multiple different reports. So in one case, I have a summary impact per isolation test case, sort of similar to Critical Link Analysis. But in another report, I'm now summarizing based on each individual pipe. So, for example, here I have the maximum flow that each pipe experiences across all isolations. And so this gives you a different lens into which you can understand impact. And we'll come back to that output.

But then finally, you can join these different summary reports onto the map and you can control how you join it based on isolation area or object ID, and then you can visualize and summarize risk in different ways. Because risk can have many different perspectives.

So to summarize the Generalized Multi-Run, there's a lot of different applications. But you could, for example, run a customer impact from breaking each pipe in your system. You could look at the criticality through maintenance bypass flows. For example, if you had to isolate a certain pipe, that could cause higher flow rates to be routed around it. And those other pipes may have, then, higher consequence of failure.

And similarly, you can also run surge analyzes, or transient water hammer events, such as if you have a power outage at a pump station. That can cause pressure waves to ripple through your network, causing critically high and low pressures at certain pipes. And that can often cause pipe breaks. So that's another analysis that you can do with Generalized Multi-Run.

So just to summarize two of the many outputs you can get from Generalized Multi-Run, one is transient pressure. Maxima. When you have a power outage at a pump station, the pressure can drop pretty significantly and spike up. And that-- those pressure waves will then oscillate throughout your network. That can cause a lot of problems for assets. So you could summarize the maxima out for your assets.

And then the other case is that peak bypass flow. This is a workflow that one of our customer uses Generalized Multi-Run for their asset management. And just to summarize-- just to visualize this, if you had to isolate these pipes in red with-- it's a little bit darker line. It's a bigger pipe. If you isolate it, the flow will then need to be rerouted through this smaller pipe.

And on a typical day, that small pipe, maybe it doesn't supply much flow. It's not very important. But under certain circumstances, it might become very important. And so these are the types of situations that a generalized multi-run can summarize across through thousands of iterations, for example.

And so that summarizes some of the different ways you can use hydraulic upstream modeling. And now let's go to the second phase, where we're now sharing the data. So this is the data exchange between hydraulic modeling that is typically done on desktop with cloud computing to your asset management software.

So, in terms of that data exchange, what does that workflow look like? Well, let's go to a flashback from earlier. We're kind of starting back with one of those earlier videos from InfoWater Pro, where we were sharing model results. You may recall this visual, where, from the desktop software, you click Upload Info360 Asset. You can assign a few things from your desktop. I'll just add a file name and click Publish.

And so this is the process. Every time a modeler may fix something in their model and push new results up, they can do this process and click OK. And now if we continue this video from before, you can just minimize your modeling application, open up a web browser. And here you can see a library of all of your simulations within Info360 Asset.

So that is the simulation I just uploaded when I clicked Upload. I can see other analyzes. This one has some validation warnings. So it will give you feedback if the model objects in your model don't match exactly with asset IDs. So you can get that kind of understanding. And so, really, that table within Info360 is the common ground where you have all of your simulations, and it's where asset managers can see that library of simulations, and start to pick them up, and use them within asset management.

So to summarize, Info360 platform allows you to utilize these model results that have been exported. They all show up. You can see them, interact with them. The results can inform your asset management plans. And teams can really manage this shared library of simulations. And this can include-- even if you're a large city that maybe has multiple different models that all simulate your assets, you can bring all of those models together. You can also bring different types of analyzes into this library. You can just control what name you give it, and then asset managers can then leverage those results.

And so these results really form a crucial part of the likelihood of failure and consequence of failure, which make up risk, which we're about to jump into with the final phase, which is in Info360 Asset. So I'll hand it over to Youssef to dive deeper into asset management within the cloud platform.

YOUSSEF EL FAHAM: Awesome. Thank you so much, Nathan. And so right now, everyone, we're at the point where we're ready to use all the insights that we've pretty much gathered from our hydraulic models and feed that into Info360 Asset to do risk-based asset management. So this is a continuation of the workflow that Rebecca and Nathan have covered in the past several slides. And so to cover that, we're first wanting to recall a little bit the mention of likelihood of failure and consequence of failure, because that becomes very important in asset management.

So what we've been talking about is how hydraulic modeling results can feed asset management by either being components of likelihood of failure or consequence of failure. And as both Rebecca and Nathan touched on, there are many different simulation types that you can do in hydraulic modeling. We covered standard runs, which could primarily span likelihood of failure and could support you in developing those LOFs.

But an example of a standard simulation output that could feed a COF, or Consequence of Failure, component could be average flow, as an example. And then there's obviously the other two simulation types, such as CLA, or Critical Link Analysis, which the output of that is primarily going to fall under the COF, and it's going to feed the consequence of failure. And then the Generalized Multi-Run, which can kind go both ways and feed likelihood of failure or consequence of failure components.

And typically, what you would then do is you would use both your likelihood of failure and consequence of failure to build out your risk grade and risk score of each of your individual assets. So what does this look like in Info360 Asset? We have a very short video that walks you through that process.

So here is Info360 Asset. You're seeing right now some of the likelihood of failure categories and components. And just make note of the hydraulic model result category at the end and the components that we've developed there. And we're also going to show you the consequence of failure categories and components.

And so some of these categories and components are independent of model results. And that is, again, something that you can incorporate into Info360 Asset. But here, for this consequence of failure, we're actually going to be demonstrating an example of adding a category for impacted customers based on simulation results. So you're seeing how easy it is.

You're just developing a category based on a simulation result, and you're leveraging the WS Pro results that were pretty much published from the model. And then you're setting up the scores that you want to base your risk calculation on, and that is pretty much it to set up a likelihood of failure category and component that you can then use for a risk scoring of your assets.

And that's what we're going to see here in this short video, which is going to walk through, walk you through how you want your risk scored-- your risk score weighed based on LOF and COF. So there's numerous ways of doing that. You can have a multiplied or added, and then you can weigh them separately. And you can also determine what you want the risk grade and color-- and corresponding color code to be based on.

So once you've established that, you can then run-- similar to modeling, you then run the risk scenario. And the result is going to look something like, well, not this. But this is what you would have. So if you didn't risk-based asset management, when you look at your network, you would have something that looks like this-- just a map of your assets. You can see where they're at geographically, but it doesn't really tell you much deeper than that when it comes to how would you spend your capital budgets and what projects should you prioritize.