Blueprint for the Industrial Internet – The IIC Industrial Internet Reference Architecture

intelligence and connectivity are moving into the sensors actuators and devices and applications across energy healthcare manufacturing transportation and more combined with internet protocols fog computing and the cloud we now have the industrial Internet of Things unlike the regular Internet the industrial Internet must meet higher standards of security and safety it must also stand the test of time the industrial Internet needs a common architecture to connect sensor to cloud power to factory and cities to medical services the industrial internet consortium is a group of experts from more than 170 companies and different industries their goal is to build and prove a common architecture that spans sensor to cloud inter operates between vendors and works across industries the industrial internet reference architecture I IRA is an open standards-based architecture for the industrial Internet the IEEE IRA helps achieve interoperability provides technology guidance and advances development of standards the key component of the IEEE IRA is connectivity it includes a core data bus and gateways to other standards the central data bus with gateways connects smart machines together into large-scale intelligent systems this data centric connectivity architecture relies on quality of service to support features such as data delivery timeliness ordering durability life span and fault tolerance security is an inherent part of the architecture because of these important features the connected intelligent systems can perform functions that were never possible before data distribution service DDS is the first open international middleware standard directly addressing publish/subscribe communications for real-time and embedded industrial systems DDS delivers unmatched reliability performance and scalability it is the best data centric or connectivity standard for the IEEE IRA is it really bad if your system fails for a few seconds or even a few milliseconds do you measure latency in milliseconds or microseconds does your system track thousands or even millions of real-time data values or do you need industrial scalability does your system have to last for years if you answered yes to at least two of those questions you need DDS over the last 15 years the DDS standard has been successfully deployed in many real-world systems using architectures like the iír a successful DDS based system designs in production today include the Grand Coulee Dam the largest power plant in North America Siemens wind power the world's largest wind turbine manufacturer GE Healthcare the world's largest medical imaging company NASA's launch control at Kennedy Space Center the world's largest SCADA system outtie a part of the world's largest automaker more than 800 of these system designs are powered by RTI we applied what we learned from our customer successes to the IEEE IRA and can apply them to your industrial internet system on behalf of the industrial internet consortium we invite you to learn more about the IEEE IRA and how to apply it in the real world we are happy to share our knowledge with you you

Industry 4 0: The phantom of Hannover Messe

we are on our way to the Hannover Messe trade fer because people have reported sightings of the industry for tato phantom also known as the internet of everything or industrial I peed or industrial internet and our mission is to find out if this phantom is real we can see it in Hanover and what it all means to you and this another message 2014 CNN shows at understanding all future refectory I'll go and Nestle machine that they would be star where the industry will develop to one is the network's interaction which goes across reached across the company borders we see a diffusion of the real and virtual world coming with a digital shadow of between the systems that size physical systems will take over much we believe that this connection work should be developing a really strong effective operation management we are developing we believe that this large fusional virtual real growth as a really good basis in the sort of digital enterprise platform contains these shadows this vertical models like my system and the cyber physical systems we really get importance as soon as able to realize black clay into a black produce integration what we also need is we need IT security for this unit world that's with wise inspect the city of I said a partnership angel security show first products IT security what we see here is smart bridge the smart rich concept of papillon thoughts is in terms of industrial 4.0 that we will get a bridge retching system between the physical layer of the machine on one hand to bridge it to the petrol layer of the internet and the data infrastructure so with a smart rich smart rich as a product is liquid into the normal into a normal wire between the center and mike richter microcontroller sister the other hand and you can get out data wire bluetooth and sequence data on a certain tablet pc for example this much okay hello my name is Kevin Davenport of all business development manager here at cisco and I'm at the Hanover fair the smart battery so what is smart factory and now that they translate to industry or not oh well we're evolving into the internet of everything we're sisters people processes and things to come together with industry four-point-oh was around taking those technologies and having business relevance with a manufacturing line scale it how to make it transferable and drive business results throughout the entire manufacturing organization so industry four point oh it's around business objectives and now you how to create value these new paradigm surrounding internet of everything I just wanna tell you can go about industry 4.0 whew persistence is a place first aggravation of indirect automation security one major aspect in all scenarios they are the Hannover Messe we're on the essence of bass groove here because we have a partnership now a cooperation the essence of base organization and what we're showing here is our CC link can be combined interface network so what you have here is a Cecily network this is connecting your more sophisticated devices together so like robots hm eyes converters and so on and then you've got your lower level devices to out here bottom your push-button switches and other similar devices and these have been linked to see ceiling by some of our partner products see a light for example gateways from Ceylon Biederman about books to our partners both of its interface I'm Cecily and this is providing a cost-effective way for you to link devices to more complex devices and of course this also helps you develop solutions with things like industry 4.0 because this is showing you how you can extend a transparent hierarchy communication fairly high level down to a fairly low level since 20 years back off as a pc-based control company enables customers to directly communicate out of the controller into IT systems databases read data push data and so on but of course with industry 40 we need a more international standard we need interoperability between different systems so I'm really proud that also back-office pushing this international standards for example OPC UA but I'm more proud to even provide a so-called soja plc a service orientated plc where customers can create a function log inside the PLT just mark it as public available VI you a namespace to the outside world which means somebody with the you a client on a different operating system can call and provide functions can call a function in the plc provide input parameters wait on the execution of the function block the function block is providing outputs and with just one call in summary this is a very future orientated communication out of the box and again back of customers aren't able to make use of this extremely early the machine was intelligent enough to decide whether this V noia can be produced or not maybe some modules are missing maybe I need a laser printing on glass device and I don't have it is a machine tells me now I cannot do it I need a laser filter but just lots of case starting a job simply selecting a job given a start now the rail is taken and the terminal blocks which earns magazines about it automatically cancerous machine and we come across as rfid reader this idea readers can see drop number and shows us as assistance system i was marking on the terminal block should look alive and he is a printer already printed text of the sides so now this terminal block is ready to be mounted on the cabinet and to get the information where it should be murdered we can read the rfid chip just done with this device and we can see it should be mounted in cabinet three row number for its company s umms hello we are back from Hannover Messe these have been busy days but certainly was worth it we have seen that industry for auto is not a phantom it is something real we have seen lots of the elements and enabling technologies behind it and we are now sure it's something that will change to a human manufacturing operations we have also seen what you can do to be prepared for this next Industrial Revolution first of all build a strong future proof network communication system all the way from the field level sensors actuators up to the enterprise level to ensure smooth data communication second very important cybersecurity make sure that you have strong cyber security procedures in place industry for dot 0 is about more data exchange more data flow which means more risk of cyber attacks and food keep leading industrial Ethernet book to stay up-to-date on the latest news and developments for industry photo

Industry 4.0 – future scenario production

the network will be the indication of the production of the future all elements will be connected and able to communicate with each other the network as an example of perfect organization every move and commotion will be immediately transferred as information in terms of production this means in the future once an order is placed all locations of production will be automatically informed the various machines and production phases will communicate with each other and coordinate who will do what at what point of time future products will carry all information with them and independently tell machines which individual operation is necessary this means that we're dealing with intelligent resources and products production will not only benefit from internal communication but also as it is called in nature from swarm intelligence connected people operate together and are therefore more productive stronger and faster than people acting alone get ready for the revolution 4.0 because the future is closer than you think

The 7 Principles of the Industrial IoT

topic I'd like to talk about is some basic principles as I personally see it as well as my company and many of our partners and customers and then also what we're doing to address these basic principles now from a perspective of a conviction I have if you don't have some basic principles to hold on to in a innovative world in a world that's emerging you can be swayed by anybody's opinion your inter meeting and this guy says that or this girl says this and it's easy to be swayed and get off track so you have to have some fundamental philosophical basis and we hold to these principles that we established about a year and a half ago and are building products and services around them and so far it has been very successful and actually delightful to see how this is taking off so I'm happy to share with you at this great forum sponsored by the Bosh company and I don't quite know how to switch over okay here I like to talk about the seven principles of the IOT and then I want to give you two other 7s so these seven principles there'll be another seven things and another seven things all packed in to 16 minutes and therefore you must take notes because it will be a test at the end of this session in the spirit of educating here and I hope entertaining as well so please let me move on to principle number one it's a statement and an assertion the IOT presents a big analog data problem now what is big analog data well it's big data and I think you've heard big data it has achieved celebrity status but it's of the analog nature most everything in the tea in the IOT of things is pent up analog phenomenon such as vibration such as light such as sound such as location acceleration particulates moisture speed heat and temperature for example all these analog phenomena are digitized is important to know that it's really really big some of my colleagues generate petabytes a day some generates terabytes in just a few seconds that's how big this is so offensive this is very profound if you're dealing with big data if you like big data you're going to like the industrial IOT in the future of IOT as homes and businesses and cities and vehicles are producing this data so big analog data is a term that has been trademarked frankly by the National Instruments company my former employer and it represents what is sourced from nature people and things it is the data from the things ok let's move on quickly to principle number two the IOT offers perpetual connectivity what would you do if you were perpetually connected to your products or perpetually connected to your environment or perpetually connected to your customer the Apple company is perpetually connected to me which is why they tried to convince me to buy the Apple watch so there's a sell out notion of Perpetual connectivity you can monetize that one day I woke up and I turn on my iPhone and the app for the watch was there including an advertisement what was the inference there well you already have the app you might as well buy the watch right that was the inference here so that notion of perpetual connectivity one idea is to sell up but they're really three M's and that was one called monetize the first M is to monitor if you can understand the behavior of your customers and your products there's a lot of value in that next is to maintain and manipulate if you will to add another M flash's upgrades right the Tesla car has that at night it gets you know upgraded with new software etc and then of course monetize we talked about that being able to sell out more product services and advertise there are other benefits but it's a nice way to look at it as you build your business case very quickly moving on IOT data is really real-time many of us there in this audience from the IT world of servers and workstations and networks and we think real time is when the data hits a network switch or when it hits a NIC inside one of the servers so it can be processed well that's not when t0 starts in the IOT t0 starts in the IOT way back at the things and stage 1 and before it even hits IT equipment there's a whole life where it's actually old then so I'm introducing now a four stage template that is several years old it's very durable it's not perfect but it is a great way to talk about this amorphous thing called the IOT solution and let me just describe it very quickly on the left are the things it's end-to-end you need sensors that are the wire to wireless to actually capture data and then you need a way to aggregate it and to do some upfront processing and up some may be decimation or pre-processing or conditioning of the data and that's where the IOT gateway falls in and the data aggregation systems and back da cue systems which are tens of billions of dollar industry you know right now and then it goes over to IT this is where hits IT for the first time a workstation or a server out at a plant or a manufacturing floor computer system and embedded system you know added an energy station or something like that or inside a vehicle and then of course the infamous data center or cloud now I call the cloud on the data center well I call the cloud is just a data center that nobody is supposed to know where it is I think you would agree with me so is nothing mysterious about that so the cloud in the data center are the same so there's this notion of sensor all the way to the cloud which is very possible but there's a lot of business a lot of value and a lot of action that happens in between the thing and the cloud in these stages and that's why this is so fundamental and one can impute visualization as you can see here analytics data flow left-to-right in control flow equally important and what my colleague Andy will talk a lot about controlling things and therefore one can impute management different stacks etc across here some of the winners in IOT will be able to synthesize these and make them seamless for the end user in the customer so back to principle number three this is a real time for IOT dia this is real time for IT data and those who understand the lifecycle from here to here will win how soon do you want to know your asset is going to catch on fire probably really immediately how soon do you want to know if there's a little girl in front of your autonomous vehicle that you're driving at 40 miles an hour it's a little girl it's not a plastic a garbage can how do you soon do you want to know that to take the correct evasive action or the automobile right because clearly someone isn't going to sacrifice their car perhaps to avoid hitting a plastic can but many of us would always agree that to avoid killing someone will sacrifice the vehicle take a different evasive action so do you really have time to go all the way to the cloud and back and that's a very strong phenomenon a very strong principle in this world of cloud intoxication that we have now personally have nothing against cloud I would assert my company has the best cloud offerings in the industry with our partners General Electric with our partners Microsoft Azure etc but the point is there's a big business for doing work here and getting answers here as many in that industry would say so let's move on to number four the insight can therefore related to what I just said be gained in a multiplicity across a spectrum of value and there are four domains of compute effectively and the data insight can have real-time early life in motion at rest and archived many times the data is really at rest by the time it even hits a server or a workstation in this formal definition and here's where it is in motion and and flowing out this is not a perfect model and not worthy of debate necessarily but it shows just the different point of view of data from the IOT versus the IT world you know where I come from three types of insights I like to look at you can drive business insight where's my inventory how long is that line in the manufacturing of the products how long is a line at a retail store of customers lading business insight obviously can be derived but engineering insight how soon will that turbine at a power plant fail or how soon will the robotic arm need maintenance in a manufacturing floor that's engineering insight and scientific insight which I include medical insight is that tumor benign is that a new subatomic particle like CERN the Large Hadron Collider in Geneva discovered a couple of years ago a new subatomic particle by connecting things like particles and and control systems to a network and they created what I would call the scientific internet of things to discover and promote advancement in technology so those three insights are keen and it's good to understand your customers and your business what are you trying to achieve with respect to that not everything is a business insight especially if it's a government lab or a learning institution that wants to use the IOT okay let's move on to number five of seven principles there's a trade-off four domains of compute you can compute and analyze the data at the sensor with smart sensors but that's very rudimentary today contrariwise you can move it over and do it at the IOT gateway most IOT gateways today are low low power atom processors or ARM processors or maybe some proprietary switching and routing processors so they're limited and they're generally closed in this dimension you can go over to traditional IT and servers PC right at the edge and then you can go up to the cloud with of course rows and rows of data farms and data centers to do deep deep analytics therefore if you want a media C of your answer if you want to get a temperature if you want to do a moving average or perhaps the fast Fourier transform a rolling average of something you can get it immediately but that's not very deep if you want depth and for example you need to compare with 17 other sites around the world or seven years of data because there's litigation going on you need depth but it's not going to be fast now this is interesting now listen this is a mutually exclusive objective our customers in the IOT world trading off immediacy with depth of insight and if you can solve a mutually exclusive objective you can catapult your career you can compatible to your company and your customer success and I learned this when I was young when my boss came to me and said make a laptop computer as a lead engineer that battery lasts all day and it's light enough to carry around now that was tough 25 years ago because why because I could make it quite heavy and it would last a long time or I could make it very light in the battery lasts 20 minutes so I told my boss well that's a mutual exclusive that objective I can do one or the other and he said well that's why we hired you is to solve a mutual exclusivity objective 25 years later I'm sharing that lesson with you when you can figure out how to give deep insight fast you will win in many cases and I'm going to share some more very quickly about that okay so there's the trade-off and now number let me move on here in the usual time this ability is an X V if you ever study Big Data you learn that visibility that the the V's on the left variety volume velocity value rating another the visibility why will the edges remote and you need to visualize data you to visualize application stacks which you're going to be more and more complicated so graphics technologies remote desktop technologies like VMware horizon Citrix for example these technologies that are in the data center used for PCs and remote workstations will be imputed at the edge so you can see there's a lot of predictive dimensions with these principles and only just statements but they're predicting what will happen what's the best way to predict the future is to build it right who said that no time to wait I got to keep moving here okay the best way to predict the future right is to invent it right as well so we're asserting that and we're inventing a future here with some of these predictions let me go on to number seven this is the essence of my personal business and a lot of what my company is doing with my partner's here data center class compute which is normally reserved for inside the data center cloud will shift out to the edge that is pretty profound what am I saying here well lots and lots of high-performance server class cores that do deep computing high-performance computing enterprise class manageability data center level virtualization and manageability scalable storage all the stuff that's reserved today in the cushy environment air-conditioned environment of a data center will move to the hostile edge where it must be temperature shock vibration hardened and that's what we mean by shifting left shifting left of course from this four stage diagram high-performance computing virtualization containers are vogue today in the IT roadless IT stuff is moving out to the edge in this ot operational technology world so the combination of IT n ot is fusing and converging together and that's what principle number seven you know it's all about so as I move on here why would you shift left there are seven reasons so take a picture because this will be on the test you it's an open book test so you can use your notes take a picture right latency bandwidth cost security if you go to the cloud it's going to expose you for security reliability corruption compliance and data sovereignty there are some times when data cannot move away from the cloud okay the ads is a model today an IOT solution and I have built these personally and been out there looks like this lots of boxes together we can converge them with the HPE edge line system this is a brand new product category that takes several things such as on the Left high-performance computing data acquisition controls storage manageability remote manageability that's common in the data center build it all into a single box open industry standards this will disrupt like the nature of our discussion today the industry because the industry is low performing the industry is unconverted the industry is closed they're not open architectures and this is a new way of doing things at the IOT edge have you ever built a stereo system like that on the left you have to be a certain age to UM have built that and then you can't find a cable and then you're swearing and it's 3:00 in the morning I don't know if you remember those days ok what did bought what did the bill what did the Bose company and others do they converge a single box you sit on your counter you're bid or may turn on it's done similarly the Android people and Steve Jobs at Apple said why don't I take all these things that you carry around separately and put them on a single platform that's the value of convergence computing at the edge to get deep insights fast and do it with a converged system seven reasons to converge and think about your smartphone if you have an Android or iPhone right seven reasons there's less face less energy less latency Plus cables less deployment time less to buy and less siloing of the world of sensors and data acquisition and IT because you force them to come together and that's the value here