So hello, everybody and welcome to this webinar on network design for SCT X, with fiber planet designer presented by real world systems and comm soft. Firstly, I will introduce the people. My name is Peter Cohen. I’M the CEO of real world systems in the USA, based in Denver Colorado. I shall be presenting the overview and then the summary, my colleague, yeren van havoc, is a business development.
Engineer. Comps off is based in Belgium and Hume will be presenting the demonstration using real-life data I’ll now introduce the company’s calm. Soft focuses on the development of advanced algorithm based software tools. They specialize in solutions for FD TX planning and design, as well as complex telecom cost. Modeling solutions, rural systems is a global group of companies.
We deliver solutions related to large scale networks in North America. Here, real world systems are evaluated reseller of the calm soft fibre planet solution, so we represent calm, soft and fiber planet in the US and we’re also a reseller of G small walls, telecommunications, software suite some housekeeping about the webinar arm. We hope to get through this in about 45 minutes to leave time for questions. At the end, we request that you enter any questions that you do have via the GoToWebinar Q & A window, and then we will have a general session at the end to address all of those questions and make sure that we’ve covered everything of interest after the Webinar, if you have time, you’ll, be invited to take short survey, and we will also be recording this session and we will send an email with a link to it after later on in the week and then you’ll be able to either share it with colleagues or Review it again, if you wish on your GoToWebinar panel, you will see a button which allows you to minimize the panel, and there is the box where you can type in any kind of questions that you might have attendees will be muted throughout the throughout the webinar. There is also a handouts tab which will explain more about later on at the end, so the agenda, I will start by introducing the fiber planet product.
Then we will review the tasks of planning and design on an fth network. Then we will move to the live demonstration and see how fiber planet performs the design function. Then we shall review the benefits and the value that the solution brings and finally, we’ll wrap up with a Q & A session now a brief introduction to fiber planet. It is a unique solution and the product demonstration will show you how it supports the network planning process. Here you see the calm soft promise to make ft TX planning process smart fast and easy smart, using the unique, intelligent algorithms within fiber planet which will proposed optimize design decisions fast in the way that a lot of the calculations are done automatically speeding up the whole Design process and easy because the interface and parameter settings are flexible and easy to adjust.
With that functionality, we can lower the cost of an ft of FDX projects and increase revenue so that, in the end, the project can be more profitable towards the end will, which will show some figures to support this claim. Fiber planning is a tool which has been on the market since 2008. Comsol has been involved in more than 80 projects in 25 countries, adding up to more than 41 million homes planned in this particular aspect of ft. Tx planning, fiber planner, is a world leader and is a world proven tool in the market. Before we go into the details of the tool itself, let us cover some terminology related to planning and design so that we can locate where fiber planet is targeted.
The first step in an F TTX project is strategic planning. This is where you make the big decisions and develop. The business case also evaluate how much will be invested in this project and how much revenue can be expected. We will also look at what type of network to build and where to start building it. All of that we treat in an initial strategic planning stage when the business case is positive, we will have a go for deployment which will then trigger the design process.
The objective of the whole design process is to develop a to build plan which will be a construction plan, so the people in the field know where to put the cables and how to construct the whole network. What we are showing in green in this slide is one example of a possible step-by-step process to come to such a to build plan. In this example, we show the first step, which is called initial design or high-level design. This is where you select an area and try to come up with a design for that area that is as good as possible and as optimal as possible. This is an exercise that you typically do in the office.
Then the next step we foresee is a field survey to take that design into the field and check all of the possible locations for cabinets manholes and places where your cables would cross the street and check the viability and practicality of these network components. The field survey will come back with some feedback and it’s very important to be able to fine tune the design according to that important feedback once the design decisions are final and the detailed design step, the detailed design step is adding connectivity at a fibre level by Introducing fiber splicing plans, adding labeling, etc to really document the whole to build plan. Finally, of course, this to build plan is the basis basis for the network that will be constructed in the field and during the construction. There is almost certainly to be changes to the original plan. It is important to capture and document the as-built network, so that you know exactly where all the cables and the components of your network are geographically located.
So this is an example and a summary of a full planning and design process. What’S important to understand is that the fiber planet software is focusing on the highlighted steps in this slide, so we have strategic planning, initial design and fine-tune design and, of course, the interaction with the field survey and detailed design is very important for a good end-to-end process. This is where we are working with other software tools, for example, to bring the design into the field on a tablet to capture the data for the field survey or solutions that create detailed engineering, drawings and splice reports for the construction teams to work from such a Solution is G, smalls physical Network inventory solution. Later we will have a quick look at the fully integrated end-to-end solution, but for now we will concentrate on the fiber planet product. That concludes the introduction.
Now we will move to the network design process and show how fiber planet designer can be used to assist this process. We start with the initial design. The objective is to make the big decisions on topology for a certain area. This means, for example, we want to decide where to place the fiber concentration points or fiber flexibility points they can, that can be a cabinet or a manhole, where you have some concentration, splicing, splitters, etc. For your fiber Network.
Another decision is on what we typically call clustering or how to decide which homes we will connect from a given fiber concentration point and on a higher level, which fiber concentration points will be served by maybe a higher level concentration point or a pop site. And the final question is how exactly to route the fibers cables and ducts through the whole area and whether to put them underground or overhead. There are also build priorities to consider where to build. First, fiber planner allows you to capture data about potential network revenue, as well as detailed cost information. This allows you to analyze the viability of each area and therefore prioritize that, in your build plan, to give you a better idea of what we are talking about in the initial design.
Let’S take a look at this area and you see some Street Center lines and building polygons, which represent the addresses in this area. When considering how to make a plan for this area, it is easy to see how difficult it is to decide where to start clustering. The homes and where to place your fiber concentration points there are so many options how to divide them, taking into consideration the capacity of your components and also trying to minimize the total deployment cost. It is very difficult to do that manually because, if you start say at the bottom left-hand corner, you may make some decisions that will have an impact on decisions that you have to make higher up in the network, which may not be optimal from an end-to-end perspective. This is this is an example of some clusters and constants and locations of concentration points.
But then the next level is even more difficult. That is, planning the routes of the cables as they cross the streets and where they can possibly share some trenches between different layers. To save more costs in order to decide on these aspects during the design phase, what we see are the challenges from the former ways of doing this. First of all, you give areas to multiple designers and there is a danger that they may interpret the rules. A little bit differently or use different rules of thumb when designing an area which can impact on the uniformity of the designs.
This can be a problem later on during the operational phases of the network. Another important issue is the optimization of your choices to come up with the most economical plan, so you minimize the investment cost and there is an aspect of the people who are doing the design, the engineers, the design team, where you should be efficient and work as Quickly as possible to save more cost there now to illustrate a little more before we show the software. We shall look at a couple of examples here. You see an example of an area which, if you present it to three different designers, with the same description of rules, we have seen many times. You will get three different designs at first sight.
They may all look okay according to the rules, and they may look good in terms of the decisions, but still each one has made their own interpretations. We clearly see here. There is a trend of lack of uniformity. If you divide work across different designers, they will make different types of choices and decisions. If we dive further into this example, calm soft recently organized the workshop at the FT th council conference in Europe, where there was a broad and experienced audience, and we presented the three designs from the same area.
They were asked to evaluate them and give their opinion on which was the best design. As you can see, there was not really a clear preference, although the majority selected options see the funny thing is: if you actually calculate the cost of these three designs, it turns out that design C is the most expensive one by quite an amount. Five point: six percent and the cheapest one was option V. This example, which is realistic and proven, clearly shows the potential and importance of cost optimization. Another specific example comes from a customer who designed an area of 2,500 homes, the customer compared the original manual design, with a fiber planet design and identified a saving of 8 %, which equates to 200,000 euros on a project to 2500 homes.
The effect on overall investment levels is very significant. I find the word on the efficiency of design resources from questioning fiber planning customers and asking them about how they did their design before using fiber planet. We have seen that when people were planning manually like drawing the network in a CAD system and counting up the network components to combine a compiler bill of materials, you could reach an average of about 1,000 homes per designer month. Of course, it is error-prone and some fibers could be missed and is also unflexible if a building was missed. Recalculation was very painful and long-winded.
A more recent way of planning these networks is to use a GIS system. This provides a good level of automation. For example, cable objects could be populated along a predetermined route which speeds up the process, a great deal, giving results of three to five thousand homes per designer per month. Now, if you use fiber planet in these stages of the design, as you will see, we can use a lot of automated preparation functions and automated selection of locations also clusters and routes that such cost such that some customers have reported up to fifty thousand homes per Designer per month, and that’s a huge gain in efficiency, most of the time is spent in data preparation. Then, once the data is clean and ready, the calculations can be run in minutes, which opens the door for scenario comparison and evaluating as many possible options.
As you will see in the demo, so to summarize and quantify that another customer manually manually designed an area of 2000 homes taking two months to achieve it with fiber planet, the customer was able to design the same area during the initial training session within two days. Saving 38 man days of effort or 15,000 euros and cost, which is just known power, cost alone. So that should give you an idea of the potential and the value of solving these challenges. Now I will hand over to my colleague Derouen to show how to use the fiber planet designer to accomplish this. Thank you Peter for this introduction and all you over 500 planet assume set.
I will show the fire planet system and what it can do for your fire planning process. So, first of all, you should see my screen where you see the q GS interface. This is actually an open source GIS program that we use to visualize the data and fire plant runs as an calculation engine behind this. So as Peter shortly mentioned, we see a number of three telescreen. These are the black lines and then all the red blocks, red images are the contours of houses.
So we can check this using, for example, and an aerial photograph, so you’ll see that the array I’m looking at is in town centre, with some large buildings on the outside and also a lot of streets and smaller buildings. This is the core area of my area. I’M looking at – and there are also two side branches on the bottom and to the left, so fire planets and the target is to make sure we create a network fibre network for this, and the first arrow do is create an opponent, passive optical network, where a Number of fibers will be split between several houses and each house will get one fiber a splitter in between and then these fibers will be routed to the central office. So the data I’m working on right now comes straight from in the Internet. Actually, I’ve used OpenStreetMap and open source library of information for geographic data, so I’m just taking these eight from the internet and started our Inlet fibre planet.
So, first of all, we need to make sure that we can see where the fiber needs to go to and fire plant has a functionality that generates the amount points at the center on the building polygons. So fire plant has a number of pre-processing steps, and one of these is take the buildings and put an location, a point at the center of it that will signify where the fibers need to be put into so right. Now I have these little black dots in the center and this should decide the location where the fiber should be routed to. Of course, it’s not represented because it’s at the center of the building. So, let’s use another function of fire planet which will move the demand points to the border of the building, to give more real-life location of where fiber is terminated in in the customer premises.
So now fire planet is calculating and making sure that all the points are moved closer to the streets where the fiber trenching and so on, Lumiere performed. So, let’s inspect the results once they are done, we’ll see a number of points on the edges of the buildings and you see, for example, let’s assume in a bit these houses. I have now each one point at the edge of the building. So this is where the fiber should go to now. Let’S look at the possible routes, the possible trenches that can use five five minutes so there’s also pre-processing step that makes these lines you see that each street is now the mote.
You have on each side of the road one possible location for a fiber, cable and here these streets on the top or a bit narrow. If we look at the aerial imagery, you also see that the streets are quite narrow and I’ve put an attribute there. That makes sure that fire plant will make the streets more narrow, smaller, because this is again closer to the reality of what we are looking at here. What we also should do for each of the demand points is indicate how many fibers they need. So, let’s update the field saying that each house needs one fiber and of course, it’s possible if you’re, looking at large building like this, that this one will have a more higher fiber count or higher home count.
Actually so we can look at the homes located here, which is wrong and I can edit it and say no. We don’t have one home from town. We have 50 homes at that point. Fire plant will make sure that 50 different fibers are allocated to this point. So this is the basic information for my it needs.
Some other information you can provide is, for example, the central office. So this is the black square that you see here. This is location where we will plug into the backbone network where all of the active equipment will be placed, and this is actually the core of this access network that we are building here. So this is quite an important location. I will come back to that later.
In this demonstration, something else that we can also add as an information for fire plant, SD existing pipes or the ducts or pollutes information that may be available in the area that you’re looking at, for example, here you see the blue line stretching all the way over There – and this is, for example, in a remainder of a previous telecom network – we are still some ducts. Some tubes are available to deploy new fiber cables. Another example is, if we’re looking at this few streets, if this is a new development recent development, it’s possible that the contractor has put the ducts in the ground during construction, which can then be reused for future fiber networks. Another thing that can be reused quite efficiently is the aerial information, for example, if I’m looking at the area down here, we have information about in the poles, so the equipment in the streets that are used for aerial deployment. We write this and then you can see that each of the street has a number of purple icons.
Each icon is a pole. We’Re cables can be routed through the air. What fiber that can also do is create the connection between these poles, for example. Here you see only lines, these are the possible locations of aerial cables and again you can also automatically generate the drop aerial cables. So these are the cables from a pole to the house.
The final part of the fiber cable, going from the pole to the to the house in question, so this is an overview of information fire plant can can work with standard. Of course, we still have some model information data sets as well, but this is what we will be using for this demo, so, based on all of this, a fire plant will have a network of possible locations for fiber cables. So if you look at this, it’s quite number of possible routes, so we have along the streets and also a number of crossings between the different sides of the street. You have interchanges between the pipes and the streets, so the problem or the search area is quite large. There are a lot of possibilities here in that 5-minute, we’ll evaluate and the way in which it will evaluate that is using the definition of a set of rules and material.
So fiber length has a number of rules that will be needed to specify what it will do. Let me go through that, so we will have an set of settings shown here. So, first of all, let’s look at the common rules, so we can do fiber to the home or far go to the building I’ll leave it on file in the home. For now, we can also either have poem or point the point so passive or an active network or either a hybrid one. So combination of the two where for each demand point to indicate which type of connection you would bond and after that, we also have quite a lot of other parameters such as which splitters we’ll use where or they placed in the mount point in drop point or In the distribution point, as we have now so currently, we will have a one on 32 splitter in the distribution point.
Another input set slit fiber needs is a four splitters and more important here for trenches. So currently we have one trench, will cost $ 40 for a meter along the street $ 15. If you want to cross the street – and this way I have quite a lot of cost parameters at fire planets. We will evaluate during each calculation and make sure that the total cost of the network will be as low as possible. If you look at in the mountainside – and you will see here – you can specify how many fibers per home we want, and currently we will only have the one fiber home.
You can also do more and have spare fibers some other constant equipments of equipment in the home and then the three layers of the network. So let’s drop distribution and feeder and from each of these we can define a strategy. This is mainly concert which will use the Buried drop connections, the idle networks or for some customers will also in developed custom strategies. That’S one part and the other part is mainly concerned with the ducts and the cables that will be put into these ducts. So this four drop distribution and feed, as you can see, there’s quite a lot of settings available here which will allow you to evaluate what is what you actually want in your network and then how you can compare all of these.
So, for now I have set the rules. Have you seen them here and also perform the calculation itself before the webinar? It takes about three minutes to calculate the entire results of this area and let’s look at this result, so it looks quite complex and quite advanced, but let me walk you through it and show what actually is being generated so move them in a bit well, rumbled On this house at the end of the street, again you have the red block, which is the house, and then we have some additional information available. So the first line from the house to the street is a drop cable and you can see in the information window on the right hand, side, that’s the is in a cable with granularity to so that’s two fiber cable and this. This is the next cable.
Well, this is the only cable that contains that can contain one fiber. It will have a long, fiber cable. So it’s a two fiber cable. If we look further than what happens with this fiber cable, so we have a distribution cable going on the street to show to the distribution point, which is the red point up there, and this again has some information. So we have the granularity of the cable and also an identifier is attached to this cable.
We see it runs underground, so for each of these houses, one fiber cable is routed all the way up to this distribution. Point to the extent that we can see here that there are quite a number of cables passing by here. So at that point you will need a larger duct to accommodate all of these fiber cables. If you look at the distribution point, so this is the point where, in the first layer all the cables are aggregated, we see that we have six to sixty two homes connected to this distribution point. In turn, we have sixty two fibers because we had one file per home and the fiber going out of this distribution point is two, because we have a 132 split, meaning that we can connect thirty-two homes on one Twitter.
Let’S meter has one fiber and going up to the feeder layer, so two fibers will be enough to provide connectivity to this distribution point. Then, if we’re looking a bit on a higher level, then the blue cable, that I’m selecting now which is now red, is the feeder cable and the fuser cable will connect each of the distribution points back up to the center office, which is located there. So you see that the blue cable starts here also passes by another distribution point and then goes on to the central office located there. So this is a brief overview of what happens in this area in the center, but for all the areas that I’ve left you can see, the same methodology applies. The house is connected to using a drop to the street, using the solution to the dissolution point and so on.
Let’S also also look at some of these special cases that I’ve mentioned before so this area at the top of the map had the existing pipes or ducts already available, and if you then look at the possible locations and you see that all of the green distribution Fiber cables or put in the existing pipes – big blue colors here and not right next to the street, because of course it’s lot cheaper to reuse the existing pipes and to dig a new trench, put a pipe in there and use that so fire plant optimizes. According the cost and puts as much gas as possible in the existing ducts another special example: we had lost the aerial deployment. So let’s look at the area here at the bottom of the map, I’ll zoom in a bit more. So you see, for example, at here, these four houses are all connected in the same drop cluster to one pole. So this pole here, let’s look at the information of that this pole will connect four homes to the pole itself and from there on it will go up to the distribution point.
So if you look at this cable, sorry let me first so this pole is connected with the 24 cable. That also goes on to other poles as well. So again, here it’s quite a lot more useful to use the aerial cabling than to go and trench everything again. So if it’s available this type of existing infrastructure, it is definitely the best option to reuse this. So this is the geographic information that fire plantain generates.
An equal on detail, another aspects of the results is the Bill of material, so for each calculation, fire planet will make a sum of all the material. That’S being used, set the price to everything and then create a title of the project, as you would see it. In the geographic information, so if you look at information, you see that we have 1,200 homes in this area and in the assumption that everybody will take the service, we have a hundred percent adoption rate. The total cost is a bit over three million dollars, which is quite a lot, but we do have a lot of training in this area. Also, some other information, it’s divided into home path and activated.
Usually a part of the activation cost – is postponed until the client. Actually will connect is not installed immediately. You can also have some yoga marketing information, so I’ve now used a dummy value of $ 15 per customer per month, who naturally paid and that respects you can have quite a significant monthly revenue and indeed in gain up to $ 700,000 per month. So in that respect, it’s maybe possible to earn back at the network, but fire planet allows to evaluate these various factors and see if your network will be will be gaining on you or not. So how do we come to this amount of three million dollars?
So it’s divided into each of the layers. Then I’ve previously also quickly mentioned the public. Trenching is only a largest cost, because you have to dig a lot unless you can reuse other equipments, then for each of the homes or distribution and through the layer. We also have the costs. This is a total.
Let me show you the overview, so here I’ll just illustrate a few lines. For example, this one we have a cost to the pole of $ 500. We use moderate in both, so this is the total cost that we have for the reuse of poles. The same is true for all the other stuff, for example the two fiber cable aerial, the normal to five cable in the drop area and so on. So this is quite a lot of information that is produced by each fiber plant calculation and then one more detail.
The costs are also put in on the Ray per distribution point. So here you can see the cost for each of your distribution points and distribution clusters. So it is possible to enter Phi which of the areas in the network will be more expensive or will be cheaper as compared to other ones. So this is an overview of both fireplace windows in general. Let me also show you how you can go and compare scenarios so right now I’ve set a number of rules and then calculated also quite possible to change the rules into a new calculation and then easily compare all of your resulting calculations.
So I’ve made a number of changes as compared to the reference design. We’Ve been looking at right now and fire plant can show an overview of this. So these are my variations. For example, I’ve looked at an alternative central office location if you’re still considering. Where should we put central office, if you have various options, fire plants will allow you to to decide.
Where is the most convenient one? So our reference design was three million, and Senator laws and the alternative location is 3.1. So it’s forty four thousand dollars more expensive to the other location and let me load this calculation and illustrate why this is a bit more expensive, but still not that much so fire plant will now load all the information that is calculated in the previous time and Let me zoom in a bit all the locations and offices, so the centrally located it all the way down here on left hand side of the map where it used to be in the center of the city right there. So it’s quite obvious to see why do more expensive five-minute the route, all the cables all the way back over there and let’s use quite a lot more trenching and cables to UM – make this look I’ll quickly show another results I have known before as well.
So I mentioned this is an passive optical network we’ve also. You also have the capability to calculate active optical network, so point-to-point and I had one point point design calculated, which has a cost of 3.2 million dollars. So again, it’s not that much more expensive, but it is 5 % more. So it’s quite useful if you’re deciding what you will do that you know for 5 % initial investment, I will be able to provide a single fiber to each of my customers.
Instead of a shared fiber, if you’re looking at the phone network, so Phi 1, 2 or Settings calculating in each of these calculations, Lost’s only three minutes and then you can see the result to finalize demonstration. I will show you one more thing, which is the way that fire rate can react on real life input. So let me load the design that has a number of comments from an field inspection. So what field engineers usually do is something called redlining, which is indicate on the map, something that is not possible or can be performed, for example, this distribution point this cabinet here may be cannot be realized because it’s in somebody from sea, art, somebody’s front yard or A location that you cannot put in the cabinet, so the engineering, the field will add, moved cabinets to another location, so fire planet and that point allows you to just take the location of on pingas cabinet and drag it all the way over there and save it. Then the next time, let’s fire it will perform a calculation.
It will take this modification into into regard and make new calculation based on that. So let me load the result of this calculation and then I can show you what has happened to there. So fire plant allows for high degree of flexibility. You can change room of inputs, you can do a lot of changes and then 500 will take those into account. So now what we’ve done is the cabinet is located all the way over there and you see that all the distribution cables for this area go to the down side where in the cabinet is not actually placed and again you can compare the costs to the order.
Okay to the other simulation, and in this respect, to see what is what’s the difference and how you can yeah evaluate the different options you have so each calculation also in three minutes and is quite a lot more efficient than if you would perform the manual calculation. For that, so that concludes the demonstration. Let me and make the screen to Peter will take you through the conclusions of the presentation. That’S great! Thank You!
Joanne, okay! So wrapping up, we have shown you in this webinar. First, we took you through the initial design and demonstrated the importance of uniformity, optimization and efficiency, and demonstrated that the fiber planet designer can address these challenges. Secondly, we looked at find the fine-tuned design step where we used, I’m just giving a bit stuck here. Go back a bit yes.
Secondly, we looked at the fine-tune design step where we use two fiber planet designer to optimize the design incorporating inputs that came back from the field survey and some figures to recap from real live examples of gains and savings. So all that together shows that the claim of turning planning into profit is is very valid. When it’s using fiber plant into the design process, we shall have a look at a case study from a u.s
Customer Jeron is familiar with this project, so I will ask him to talk us through this example. Yes, thank you Peter.
So a quick example of a work project we’ve done in the recent past is with the old girl, immiscible utilities, which is an electric and water system in Kentucky they have about 30,000 customers in the various areas and they actually bought our favorite starter pack and launched A pilot area of about 700 homes and now evaluating how this goes and pending further evaluation of the board and so on. They will move to deploy fiber in the home in their entire service area, so the the project itself was quite challenging and then it had an aggressive deployment schedule. So we want to have results quickly, which excluded manual, designs and evaluations, and they also had existing resources. The acoustic poles that had to be reused in combination with some underground customers, but again they wanted to have as minimal as possible cables on the poles to make sure nets and the poles are still usable for other resources as well. So the input data that we helped them process was the reuse of the pole locations as I’ve just mentioned, and also the location of the existing connectivity with connectivity between the poles.
So we helped them to use fire planet to have an optimized shared cable. There are multiple drop locations were connected to the cascading cable, meaning that you go and have a separate cable to each of the drop points, but that you actually will lower the amount of cable by making sure they are connected every time using a spliced connection on The four points, so this will reduce number of games and as I’ve shown before in the demonstration, the 500 rolls include its geographic data with cables, splice equipment and so on, as well as the full building material and cable links, user ports. And everything like that. And this slide shows a number of quotes that we’ve received from the omu, so I won’t read all of them, but just point out a few of them. So, let’s fire plant were able to make a tremendous difference in optimizing their process also user interface, most mentioned to me, effective and intuitive, as I’ve also put the issue in the demonstration and we’re also always quite adamant in making sure that the customer gets enough support To make sure that the implementation is a successful on their end, okay, thanks again, Jerome now we’ll have a quick look at some solution options.
Fiber planet is available in a standalone version which runs with QGIS. To present the network, design, QGIS or quantum GIS is an open source GIS and it’s available free of charge. Fiber planet has also been integrated with with physical inventory and network documentation systems such as GSM Awards physical Network inventory solution. This provides the full network, lifecycle, management from high-level planning and design through network build into the operation and support of the fiber network. The fiber planets mobile integration module allows fiber plant to be embedded into the pni system.
This allows you to design and optimize your fiber network from within pni. Then the whole design is transferred or imported into the pni repository and P &. I can generate all the engineering and construction outputs needed for the fill crews to build the network. Then I will then manage the full net work lifecycle from design all the way through to decommissioning. We look at some pricing options now for some customers, it’s more cost-effective to download the software, select a target area and just pay based on the number of homes or demand points in that area.
If you are planning a bigger project, perhaps greater than 20,000 homes, then it’s more cost effective, effective to consider buying a full user license. There is a starter pack offer, especially for the US market, so for $ 3,000 gives an allocation of 1500 just demand points. To start with, as well as access to the online training and personal assistance and support, I can also provide pricing on the fiber planet, small world integrated solution, which will also be the subject of a future webinar. So final remarks: this is a solution for FTTH, but also FCT X. Fiber planet can handle pretty much any X, so any kind of fiber deployment options.
And finally, in my opinion, the bottom line is that this tool makes projects more achievable by getting complex answers. Much faster, this reduces the planning and design time and saves money across the whole project for more information in the GoToWebinar panel, you will see a handouts tab where you can access the documents related to the topics that we’ve covered in this webinar or feel free to Contact us directly for any further information you may require. Ok, so we’ll now have a look at some questions that have come up during the webinar. One question I have is: is it possible to design a whole city in in one in one calculation or at one time, so I will ask Jeron to give his answer to that. Yes, Peter thanks for the question fibrin has in the past, indeed been used to calculate large areas.
The area I used in the demonstration was about 1,000 homes, so quite small, but we have been able to calculate large cities. The the typical size that we usually keep in mind about 10,000 homes or buildings per area is make sure the calculation times are still within the limits. But if you are willing to wait a little bit longer, then you can calculate larger areas as well. Okay, that’s great, thank you and another question is what hardware is required to run fiber planets, that’s actually just the normal computer or laptop that you find in the market today. Usually, the advice we give to customers is to have to make sure that they have sufficient memory, because fire plant use wire or memory to calculate the various scenarios.
So at least eight cigarettes gigabytes over am is a recommended, but for the rest is just standard computers as you buy it in store. Okay, thanks, very much and final question is, is how difficult is it to configure fiber planet for my specific equipment? That’S that depends a bit on what’s meant by equipment, as I’ve shown in the rules and material. We have a number of flexibility points such as you can find, which fiber cables you use how many fabula in there you can define which ducts you will be using. So most of the standardized equipment we we see in the field today we have mole in fire plants, but of course, if for some reason you will use equipment, that’s not standard, has some special, very strange or constraints or requirements and fire plant is, is customizable and We can make sure that the actual physical or actual yeah description or or are also mobile and fire plants.
Okay, okay, good – and I’m talking about that. There’S a question: I’m training: do you provide trying to help configure the fiber planet solution? Yeah, that’s a good question and we’ve all actually made a work to make sure we have an an online training platform. So that’s several hours of video material, that’s available online, where users are shown to do various tasks and various functionality other fire planets. So this is, in our experience, quite good to get user started, and apart from that, we also provide training on-site, so both are possible, but the online training is always given to any any customer and we actually see that’s quite sufficient to have the first usage experience Taken care of great thanks very much okay, so we’re coming towards the the end of the allocated hour and we don’t have any further questions.
So I’d like to thank everybody for their time, and we hope that this has been interesting and we look forward to the opportunity to work with you in the future and please don’t hesitate to contact us for any further information thanks. Everyone and goodbye
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