Digital Twin - Shaping the building of the future - Peter Löffler, Siemens Building Technologies

[Music] celebi's juice Peter La Fleur Peter La Fleur is the vice president of innovation at News reoffending technology and Peter is going to take us through his view on digital twins for buildings so Peter an applause for Peter Peter La Fleur and once but once Peter spinach speaking in March we're gonna do some Q&A so get your questions ready and I'm gonna romp out there with some questions and also with a microphone to put it in front of you so Peter the floor Jules Thank You Anthony well why come after lunch you know there are two difficult times for presentations the last presentation of the day and the presentation of the lunch so I thought if you talk about different wins and did fertilization how do I wake you guys up and I brought some figures with you this is what's happening in one Internet minute why do I show that I found it to get your mind around the fertilization how the world has changed there are some nice figures on that imagine in one minute there are four point three million YouTube videos viewed that's quite a number in one minute or in another minute there are spent eight hundred sixty thousand dollars online so if you take this picture ten years ago the figures would be ble zero so this is what digitalization means for the world and this is also the totalization what digitalization means for the construction industry the good news is now I brought a lot of other figures with me and the good thing is we already heard about it so I want to thank Carsten and and also professor o'clock day did a very good job in telling you why we need the truth alliteration in construction industry so more or less I can very quickly go into my favorite subject of digital twins all those figures probably you can remember from the hour before lunch also this curve I think Patrick is even here we don't have to discuss any longer I am NOT an architect I am NOT a civil engineer I'm a computer scientist actually and for computer science the same thing is absolutely true the earlier new project you find flaws and errors that Reaper it is to correct it in computer science we know this since 40 years that's why you have all those nice processes there and all the reason why I like to be now in construction industry because we can adopt a lot of things into construction industry now I'm for sure or not the right guy to tell you about building information modeling here are a lot of experts about building information modeling but I can tell you what is missing in Building Information modeling from a point of an integrator or product manufacturer for technology products and buildings when we were talking today and then we heard about walls for example about semantics of walls concerning rooms and ceilings and floors but this whole thing becomes even more important if you not only talk about those static objects those static walls and ceilings and windows but we when we start talking about all those many many things and buildings which generate data which have semantics which have to know which other object do I belong to whether these are luminaires whether these are HVAC systems or flaps or ventilators or even more complex systems like access control systems and this is the area where Siemens is at home Siemens Building Technologies fairly large provider of technical building systems not only products but especially also integral system integrations and service so we do roughly eight billion US dollar sales we are in dozens of countries with a global footprint and so improving what we are doing is something we are constantly challenged with but there is one thing that makes the whole thing a little bit more difficult for us sometimes we are not an EPC we are not a big property manager we are a sub supplier sometimes we're even a sub supplier of sub suppliers so we thought about what can we do in this whole landscape of many many personas that work on buildings to improve our lives but also to improve our customers lives and this goes now very much along with the fertile twins and my first and foremost an important message is there is not the one literal twin digital twins have a purpose and today you have the trouble twins of more or less everything and you know that Siemens is not only in building technologies Siemens is also in power and gas and mobility and you named it and here digital twinning in the industry is already something which is very much well known since years or even decades and we try to take this it's an experience from our colleagues and the depth at also to the construction industry and believe me a digital twin for a high-power one gigawatt gas turbine looks totally different than the travel twin for a building and this is good the concepts might be the same what you want to do might be the same but the implementation is very much different and even in construction industry you might have very much different implementations of digital twins whether you want to improve the logistics of a construction site in the city what we heard this morning all over the world you want to improve the engineering process of an HVAC system you can reuse some common data but other data lotta data objects are definitely different so first important message for today every digital twin has a specific purpose and thus is different so I want to talk about the total twins for operations and engineering and one interesting use case is occupancy detection so if building owner wants to know how many people are usually using specific parts of my buildings and then office open office spaces meeting rooms I want to fill my employees which disks are still free if you arrive at 10 p.m. in the morning at 10 a.m. in the morning sorry [Music] so what information do you need you need information about the building you need information about rooms you need even information about desks during a construction phase you don't need that information yet but in a later stage you might need it and here especially for occupancy detection for example you might need it that you are able then to bring all this information from the sensors and from the physical object from the physical building together to create apps that can help your tenants or your employees to make use of the data or the facility managers which rooms do I have to clean other rooms that haven't been used today another important topic in buildings is asset tracking imagine a hospital you want to know where are my movable assets a moveable x-ray machine moveable ultrasonic machine interesting enough today in a large Hospital in every hospital department roughly two hours per day are wasted by looking for assets this is really a that's a real figure so if you talk to any Hospital hospital manager he really confirmed it so asset tracking is a big thing there to save money and here again we have the same issue we need a very sound information about the construction of the buildings how do rooms fit together which rooms are on which on which floor on which level on which hallway and now you think it's easy just look on a map yes but that's the difference we need an electronic map we need a map a computer can read and this is the reason for the Detroit Altman 20 years ago if you had come here to Dusseldorf and you are here by car and you have to find this hotel it would have a in German fight plan those autos movable city maps and you can fold them up and then you can look where you are and they were already created more astute wittily but then they were printed so this is the state we have today in construction industry but now in your cars you have a navigation system there's also a map inside but this map is a digital map the computer of your navigation system can read the map and the computer reads some sensor data where you are then it can tell you where to go to and here we are talking about the same issue and what we see today is that if you want to create such systems what we do without the children's today it's a tremendous amount of work to bring all the data together which already was created once a couple of months or weeks or years before when the building was erected and planned and this reuse of data this comprehensive reuse of data the seamless reuse of data this is what the important thing is ever talk about the shuttle twins another example I selected is simulation an industry simulation is a big thing I come back to my example of gas turbines if you can simulate gas turbines and if you only can improve the efficiency of a turbine by 0.1% efficiency in terms of gas usage in terms of how much electrical power do I get out of the turbine that saves the tremendous amount of money but you can't use a turbine there is an opponent and play around that wouldn't work so being able to simulate is one of the most important capabilities of developments and here we have the same issue we have some very nice simulation models for example evacuation of buildings how many people do I get out in a certain time through a number of doors through certain hallways but it was simply too expensive to use because we always had to create a building model for every single building we wanted to offer that again if we have the total twins that we can take from the first planning to the operations then be more or less get those building models for free and can offer a simulation for a much better price now the next thing I want to dive into is how does that work now what is a digital twin for a building and here I want to use as an example Google Maps and Google Earth now first question who does not know Google Maps or Google Earth yes that's what I thought so everyone knows it what did they do so Google created a digital copy of our surface of planet Earth and they did a very good job with that so they have a digitally readable model of all the cities all roads all the lakes all borders all city lines whatever you can imagine so this is the infrastructure more or less of our planet then they put buildings on that you can see this gray fades here so the next thing they did is they brought to us this whole thing in various views that's a typically 2d view but they also have 3d views you can tilt and turn and everything and they have even such nice things like 3d view so that daniel looks for us like you would walk through the city so by the way this is our headquarter munich and then they put those little dots on top this can be more or less everything this can be a hotel can be a mall grocery store restaurant petrol stations or whatever so those are assets put on top of this planet and every asset has a specified location so we know exactly where this asset is and the next thing is they have a description for this asset so that everyone who's interested can ever look at it and the third thing is they even have information dynamic information for that asset now in this case is only the opening times but for a petrol station the dynamic information is for as the gas price for a hotel the dynamic information is are there rooms available in a certain timeframe or is the cost for this room is a certain timeframe in mall it could be a certain promotion so they have three types of data they have spatial information they have asset information and they have real-time information and they use this information very very wisely to help us dealing with our daily lives well then we thought that's a pretty good approach can be used the same approach for buildings and I must say yes we can because what do we have we have 2d maps in our buildings we have 3d maps we can have 3d maps and we also can create this nice kind of indoor navigation stuff so this is made by Navis company who is also here also sponsor where you scan and take pictures of your environment and then you put assets in there and those methods for us of course are then assets which are the interesting ones like sensor data so in that case a air quality sensor or a temperature sensor or an access control controller or a door sensor whatever moves whatever creates data and a building can be put into that system so when I talk about digital twins I talk about this Trinity of difficult winds so we have a construction twin this thing contains all the information about the structure of this building and not only the walls and the ceilings now also the semantic information this is extremely important we already heard about it and I only can underline what Professor Glock said this semantic information is the real important thing how do the things fit together and work together so this is the construction twin that comes in different flavors and that we can use for planning for system engineering for simulation for commissioning then we have the product twin this is what is delivered by the product manufacturers so this can be a representation of a fire detector this can be a representation of a luminaire can be a representation of such a data project so whatever or the representation of a door also of that kind of objects and it comes then with all the specific data unfortunately today it doesn't come very often with semantic information so if you think about complex controllers usually there's no semantic information offered for that so which kind of firmware is running on it how many iOS do I have and also those digital product wins are used by the product manufacturers to do for example simulation how does my product behave and then comes the digital performance string this is now the object that gathers all the data that is generated by a building and now I'm specifically talking about buildings later you will hear about the total twins about infrastructure works roughly the same maybe not always the same in terms of performance data but in performance data we are interested in near real-time data I meant the examples I showed you like occupancy detection like Asset tracking and here you want to know the stuff immediately not an hour later or a day later so 5 seconds 10 seconds is okay but not longer and all those three objects together then at the end of the day create what we call in our environment a digital twin for buildings so this is our famous Trinity of digital twins and this why today building information modeling and also to connect the data environments we have today don't comprise everything we need to improve our part of the business because today in boom we all be talking about that part but we have a lot of other data we have all the engineering data that goes into a building which was today not yet part of any CDE and we have all the dynamic building data that is generated by buildings and believe me it's quite a lot of data you would be surprised so whenever it's office building with let's say 20,000 square feet he has five to six thousand since our data points we calculated that a little bit so today we have service contracts for roughly half a million buildings in place if you say we want to connect half of those 250,000 with all the data points over the 30 years of operations of a building we would have roughly three exabytes of data that we have to handle three exabytes that is three three million terabytes so that's quite a big number but don't be afraid of big numbers without today's technologies cloud technologies this is usually not the big issue why do we want to do that well we want to bring all this data together to be able to learn if you look to what what the big companies the big IT companies are doing the googles and the Amazons and the Facebook's they make the money from being able to learn from data and I think this is also something the construction construction industry has to has to embrace to be able to better learn from the past what can be constantly improved what can we do better also this kind of graph we already saw we believe that of course BIM is better than nothing then a typically project but we believe that if you are able to safeguard the data we gather during construction into the operation and into the performance twin we again get another from start another leapfrog in usability and the performance of buildings which we consider to be extremely important may be in other words to the engineering the commissioning phase so our assumption is that with this approach we can save between 20 and 30 percent of engineering in commissioning time and Etsy owes a huge number given the amount of engineering and commissioning that is done in construction so the digital twin for us begins in the early planning with a product win that we can reuse unfortunately here also life is not perfect we still have by far too many and to disparate product databases around today you have to import product databases into every CAE tool you have so that's the one thing we need product databases that are accessible from everyone everywhere where you have information also about semantics I can't repeat it often enough then the construction twin derived from all the construction data and then an operation performance operation twin that gathers all the data that is available and is generated in this building and the good news is that was the construction twin we already know what kind of sensors and actuators are you standard building because that was planned so it's fairly easy to create an interface or a piece of equipment that gathers all the data and transmits it into one operational database so to wrap it up in terms of what is it good for first it's a single source of truth singing a source of truth what happened in in construction and the singing force of truth what will happen in the computer-aided facility management all applications or customer-facing applications use the same Maps say only create Maps once today we create maps for the buildings and for our systems five six seven eight times it's the basis for all the analytics that we can run on this kind of data we can share this data by universal application programming interfaces so everyone who has the need for data peated construction data or Baudette operational data can share it via those interfaces we see a by far faster time to market for new applications you need less domain know-how by creating applications domain oh how today for us is a huge issue if you want to create an app today it helps your customers doing something in a building and usually you need experts you need a buck net expert you need a konex expert you need a dolly expert mr. kind of digital twinning we can totally decoupled the technical structure of building from IT interfaces so Morris you can use every computer scientists to create nice applications in hackathons for example you also heard about hackathons today so that might sound to you a little bit science fiction or a little bit far away from construction industry but it is not also the operations of buildings as part of construction industry and also being able to feedback what we learned about construction into new construction I think this feedback loop is extremely important so where do we stand today with that whole thing I'm talking about we have this whole stuff in a test phase you saw the vittles poha plots in Munich our headquarter which was one of our test cases also are a new headquarter of Siemens Building Technologies in sugan Switzerland is one of our test cases until the end of the year we will have 12 to 15 buildings fully integrated the whole thing is fully cloud-based we can regionally distribute the data so it's not necessary in one cloud we can distribute it all over the world because we have certain legislation little issues that for example data from China has to reside in China so we can use the Chinese cloud we can also use a u.s. cloud a German cloud whatever today we use it primarily for our internal efficiency but what we learned in the last half-year makes us believe that sharing this kind of information sharing this kind of knowledge even increases the value one reason why why we also engaged here in building smart and so concerning the next steps we will make it available for third party we will evaluate more customer-centric use cases and we will bring it together even in more close alignment with the IFC standard so what we use today technically we create an IFC model for every building that we digital twin and in parallel we create what we call a knowledge database and knowledge graph database which contains again the semantic information and also contains all the information I can store in I've see today there's a lot of information I can't store yet in IFC and those things brought together then create the construction well I hope you had a little bit of flavor about what a difficult win can look like and can be good for and now I will hand over again to Anthony and I think Anthony we do a question round together with mark at the end of both presentations that is absolutely correct Peter thank you very much very possible in love look it up [Applause] [Music]

Channel: buildingSMART Deutschland

Views: 4,386

Rating: 5 out of 5

Keywords: #bSIDUS19, #buildingSMART, #bSGer, #bSDE, Open-Standards, Open Standards, #BIM, BIM, Digitization, Digitalisierung, Standards Summit, Dusseldorf, Düsseldorf, IFC, Digital Twin, Common Data Environment, CDE, IFC4, IFC5, Infrastructure, Linked Data, KI, AI, VR

Id: 83WvP41sXZ8

Length: 28min 50sec (1730 seconds)

Published: Thu Jun 13 2019