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How Industrial IoT is Transforming Automotive Manufacturing

How Industrial IoT is Transforming Automotive Manufacturing

broadcast is now starting all attendees are in listen-only mode well hello guys hello everyone here it’s a Ricardo speaking I have here with me David de la Rosa also from talat and stips Perry from magnet and Macke Steve do you want to start with a quick introduction sure I’d be glad to thanks for title good day and thanks for taking time to join us for today’s discussion about how i io t is transforming automotive manufacturing our presenters are from talent the makers of device wise a transformative software product that has hardware and software edge and enterprise solutions for data transformation to help you on your journey of the industrial Internet of Things in industry 4.0 with that I’d like to present to you Ricardo and David from tell it thank you so much Steve so hello good afternoon everybody my name is Ricardo I’m global VP for tell it Factory solutions and and telleth is a big partner of magnate and Maki for automation industry 4.0 solutions and the idea

on this webinar is to show a little bit more in terms of how this technology is really disrupting the automotive manufacturing companies and what can be done with the new tools that exist so starting with a quick introduction about who tell it is tell it’s a global company we are traded in London Stock Exchange we have with more than 1000 employees spread in 36 regional offices all around the globe in war than 24 countries with sales engineering and support resources to really help customers wherever they are in terms of connected assets we have more than 300 billion dollars in customers connected assets through our IOT technology including all the different layers of technologies that we can provide to our customers in 2017 the company revenue was 375 million dollars including all the different technologies we’re here to talk about industry 4.0 and IOT and basically the technology that we’re going to present dates back in early 2000

when this technology started to be developed inside IBM automation group in 2013 sell it acquired ILS technology and it’s been off of IBM and we bring to tell it product portfolio umbrella basically two main products for industry 4.0 one product called secure eyes that is a cyber security platform to guarantee secure remote connectivity to OEMs system integrators and service providers to many different types of factories and device wise that is our pure a IOT platform and why art is changing how automotive companies are producing today I really like this a statement from Paul Krugman where he says productivity is and everything but in the long run it is almost everything basically technology exists only for a reason that is make sure that companies will be more profitable more productive on the long run and the way that tell it is industry 4.0

and IOT is that this is not going to be an option for customers in terms of adopting it or not it is going to be inevitable that every single company to survive will need to use the technology that is available to really make things better cheaper and faster and the numbers are here basically we bring here from McKinsey the impact of IOT in terms of segments and

we can see that according to McKinsey the biggest impact of IOT technology will happen inside factories and in terms of applications operations optimization and preventive maintenance are de applications that will really drive those investments and those returns according to McKinsey companies will reduce from five to forty percent the costs by implementing those types of applications at the end companies will have two options one that is develop everything in-house the other one is looking for IOT platforms that will really provide the ability to do it in a more efficient way basically the way that

I see how companies are doing data collections and machines integration today is how things were were developed many years ago in terms of in-house custom development when you’re going to type one letter basically you have two options you can simply go to your Microsoft Word or open Microsoft Word and type a letter to a friend or you can do something that simply nobody does that is hire one software engineer ask the software engineer to develop a new text editor type a letter in this new text editor and then send the letter to your friend and then when your friend receiveth he’s gonna hire another software engineer and develop a new text editor it’s very clear in this example that this doesn’t make sense at all

however what is it still happening in many many companies is that companies are still doing custom development for data collections and IT og integration and that’s not efficient because companies need to invest a lot of time and resources in doing all the data collection all the IT integration letting them less time to really focus on what is important and what is going to make them to be more productive that is to focus on the business logic and with vais wise this is what we guarantee to our customers a software that provides a state-of-the-art data collection I Tod integration adds computing add to logic and deit connect first

so basically talking here a little bit more about device wise device wise was when software created to really bring industry 4.0 to life industry 3.0 is a typically highly hierarchical architecture where you make data flow always you the layer above of your technology with industry 4.0 you can make all the machines it in pendant Leeteuk to each other making the flow of data move much faster and use all the data to produce things better and faster so basically this is device wise device wise provides you the capacity to read any plc any sensor and communicate to the different levels of systems that you might have

so you can talk from a level zero to external instrumentation you can talk to any PLC and then move data up and down according to your necessity everything a PowerPoint presentation looks pretty simple until the moment that you really walk through the line and you see the complexity of any big manufacturing facility when you walk through the shop floor you’re gonna realize that you have many different types of machines from many different vendors with completely different protocols and things that don’t talk to each other additionally when you go to the IT department life is simply not easier at all you have different systems running in parallel with different types of data input and the your necessity to bring data in and out from ot to IT and from IT to ot becomes extremely expensive and complex with vice wise what we do is

we provide a completely transparent layer that let you make any machine talk to each other and not only talk to each other but talk to any IT system the viceroys has three main pillars the first feeler is the access layer with the access layer we provide the capacity to read and if you’ll see any robot GCS sensors etc basically any industrial machine that companies has on the shop floor we have a business logic layer that allows us to make any logic and make things and treat all the data that is collected and on top of that

we have the GRI t-connectors so we let your machines you communicate to your IT system basically device wise does not depend on OPC technology what provide us a significant advantage comparing to other solutions that exist in the market given our capacity to natively talk to all the machines device wise has the lowest latency that exists in the market that will make the machines talk faster and run an improving your throughput on top of that we do not depend on specific operating systems like Windows

we can run in Linux platform Windows platforms IBM AIX and much more on and many other advantages exist in terms of security and speed when you were developing with device wise as I mentioned at the beginning latency is one very important thing when we are talking about industry 4.0 as data becomes more important that the cost of the data flow in your process also increases if you are not efficient in terms of collecting the data and taking the decisions in real time your manufacturing can become more complex and your throughput can become smaller in consequence of that comparing the latency of the Viceroy is an OPC really clarifies why the manufacturing lines becomes more effective

and I can give you a real case example one of our customers one of the biggest automotive companies in the world decided to replace all the OPC servers that they have in every single plant in North America so United States Mexico and Canada by device voice only in one big plant in Alabama by the replacement of an OPC solution by device wise we could generate

more than three thousand minutes of uptime just by the reduction of the latency in a big plant like that one that has a cost of $30,000 per minute three thousand minutes of uptime can represent more than 90 million dollars in return on investment year over year so going very readily here through the use cases all our use cases they respect a very standard flow that is how you collect data so what are the devices that you’re going to get information and through all the drivers that are part of our solution

you can rapidly collect the information on a click of a button connect the data that you collected so bringing this data from IT to OT device wise has a full visualization package that provides you the ability to bring data through Web API s– and make sure that you can create dashboards and end them this place to visualize the data across the shop floor and through also mobile devices the analysis is a consequence

when you have your data enhance and vice versa has the ability to talk to many systems that can do it like IBM Watson Simmons Minds here and many others on top of that you can create logic embedded in your system using our fourth generation code method by a drag-and-drop system that will going to be it that is going to be displayed in a couple of minutes and of course all the system means through the improvement of the process you can implement oh ye solutions different types of KPIs preventive and predictive maintenance and many other solutions to really increase the productivity showing one real case example

here I would like to talk a little bit about hand basically the way that Honda is used in device wise is a full usage of device wise as the main automation tool on the shop floor just for one example when this company is producing a certain part number and it’s going to shift from one part number a to the part number B device wise is the system that is talking real time with the MRP and mes of the system and understanding what is the next car to be produced device wise goes to all the databases and collect

what are the recipes and the movements for all the robots and PLC’s through the line it goes to those PLC’s and robots updates the recipes and when you have the poor number to be produced in line with the recipes device wise commands the line to start the line all this without any human interaction device wise makes different brands of PLC’s controllers and machines to talk to each other so it’s absolutely easy for you to move a data from Mitsubishi PLC to Rocko PLC and to a Siemens PLC everything becomes absolutely transparent all the data is collected in real time providing preventive maintenance programs so you can count cycles cycle times vibration and much more and implement logic

when you are about to expire the certain numbers of cycles and you need to ask for or the maintenance manager to visit the line and check the machine all this is done automatically through device works in this presentation that will be provided later we have the link for Honda describing a little bit more of the use case that they have with the Vice wise the second use case is with one of the biggest car makers in the world that has more than 60 plants basically device wise in this specific customer is being used to collect data not only from robots and PLC’s but also from simpler machines like this see tools of course that one big one big robot or machine can be a big problem to any automotive customer

but once the simple dc2 can also generate millions of dollars in a recall if you are applying too much torque or too less torque so even those simple machines they need to be controlled and tracked and the way that this company is doing is through device wise so basically device wise is talking to many different brands like Atlas Copco Ingersoll Rand and others collecting the data from those DC tools and providing all the traceability car by car the number by the number so they can have the traceability in terms of what happened to each car and if something goes round device wise can identify it and stop the line immediately if that is the case last but not least we would like to show the third use case on

how we are helping American axial all around the globe to collect data from different types of PLC’s CNCs and machines collecting this data putting all those data or no ease and helping them to improve their productivity what happens is when you can track the productivity line by line shift by shift operator by operator technology helps also to transform human behavior and provides to managers all the capacity to understand what is going on and act on the bottlenecks of the production lines also in this webpage we are providing the the link for the video where a.m. scribes in details how does this being used at this moment I would like to ask David LaRussa to provide more details about device wise he’s going to show the real live demo of the tool David please Thank You Ricardo okay so let me switch to okay so now Ricardo mention

I’m going to be talking about basically it’s a live demo of device wise the tool that Ricardo explained we mentioned the OT world which is the devices world the PLC world and the IT world and what we’re going to do is show you a little bit how we do preventive maintenance or simple data collection using device wise so the devices section here is where we define basically all of our PLC’s

and I already had some so I’m gonna delete them so you see these for scratch from scratch okay so I already have some other ones here but we’re gonna do a few from scratch most of you are probably familiar with the Rockwell controllogix line so I’m going to do a a ControlLogix device so I’m gonna call provide the name called demo logics it’s just the name and then you pick from the list of supported drivers or connectors so this happens to be Atlas back of C and C’s from fanuc I’m qtt cncs that are empty connect

all the Mitsubishi line course da and you a client so if you have you a or da servers all the omron line just about all the Rockwell line all the Siemens lines so basically the top whatever 90% on the PLC work but also DC tools like atlas apex click or I our boss and a few other ones but for this example we’re going to show you how simple is to define and see your ulti device your control device

so I’m gonna configure this Rockwell PLC which is that’s 172 27:13 the 245 and it’s in slot 0 so throughout the product you could press this button called validate which basically make sure everything is good configurations good network is good so we’re gonna save this and we’re going to start it in what device does he goes into the actual controllogix PLC and retrieves the entire data model the entire address space controller tags program tags or UDT scalars array so basically everything that he has inside we could see and we will use this as input into the business logic whether it be preventive maintenance data collection you know oae FIS doc that kind of application so I’m gonna do a couple more devices here just so that you see

I’m on a peak and i7 300 Siemens device then pick the particular model here is a 300 and the IP address 243 and like we did before we press validate and this what this does is talks to the PLC make sure he’s who it says he is and then we save and then we start and then in the similar fashion in Rockwell’s we go to the device and enumerate all the data blocks and then you could read and you could write and so on so we’ll do one more and then we’ll move on and then I’m going to create a Mitsubishi demo cue Mel cup and then you go to pick it from the pulldown it’s a cue controller and then we supply the IP address and then of course you validate again and that means we can talk to the CPU and then we’ll do the same thing

we do a start and now you have basically the entire address space of the PLC generally people put information on on the deed register on the data registers so that is how easy is to do a connecting to at least the PLC’s we have already pre started a an atlas copco a controller driver instance this is a fastening tool using the screen manufacturing Tier one suppliers and actually OEM car makers use many of these tools in assembly or even powertrain

so this happens to be an atlas copco in that we support support them very well actually we allow you to take revisions subscribe for beam number changes trace information and so on so this is already defined in working so so this is as far as as the OT or device connectivity goes so that’s step one that’s the layer zero that’s at the bottom now we’re going to revisit very quickly here the enterprise side the IT side of the equation here in which you see we in the similar way that we have devices in the OT world

we have something we call transports and they’re nothing more than connectors to IT things so we have multiple types of connectors we have a deep e type for database and then you pick the database type so it could be in the IBM line db2 db2 400 it could be my sequel it could be Oracle it could be sequel server it could be s AP Hana MongoDB Postgres so basically who is who in a relational database

we support so in addition to relational databases of course we can connect to that are restful HTTP we connect also to things that are based on j2ee application servers like IBM WebSphere or s AP netweaver so you could deliver data into queues in any of those systems we support of course a Microsoft MSM queue which is very similar to IBM in queue serious is a queuing mechanism it’s a messaging system with guarantee delivery we support the entire ASAP line so ACP is it’s worth noting because they’re very popular on

with the preventive maintenance modules so you could open tickets when machines need to be calibrated for example the same is with Web Services you could you could communicate say IBM Maximo via Web Services for example a say PMI I and later edition was IBM Watson so if you have some cognitive or AI of analytics that IBM offers you could then get ot data like data from sensors like PLC’s into IBM Watson for some kind of cognitive computer ‘men prevent a predictive kind of a an algorithm that is implemented up there so basically we support a good amount of IT system I would say this is in excess of 80 of 80 90 % of any IT system out there we can access so that’s on the IT side this transports are from device wise to the IT system and we have the concept of listeners which is we listen on the IT system

the IT system then deliver as data and then we’ll take an action which could be write a schedule for some production or recipe into our PLC for example so it’s both weights both sides could be could be master so this basically solar summarizes the OT space the control space and the IT space so the next the next step is how do we create business logic here and for this we have this is how we do the logic right for example if this bid is set to true then you write to a database to signal the machine is on when it goes to false you update that table for off and that could be a kind of a very simplistic way to compute or EE you know rather simple but you could do that if there is a DC tool that is in need of calibration

DC tools in particular Atlas they have counters for Diagnostics and in operation so every so many tens of thousand cycles they have to be sent for calibration for example so it’s very simple to do a trigger that when the threshold is exceeded to open a si ppm TK or IBM Maximo ticket to schedule the calibration so those systems know how to schedule an assign and and do the spare parts and all the stuff but it’s very simple to do so what I’m going to show you here is a very simple logic to if some value changes send an email for example so I’m going to create this project demo and then let me see I’m gonna start it

and then I’m going to open it and then we’re going to create something that we call in device wise lingua is called a trigger and a trigger is just a unit of business logic it has two parts the top part is what we call the event the event is specifies when this trigger is going when this business logic is going to run and on the bottom part you will see actions or steps that are taking that event is true so this is how you do business logic in device wise there is no programming in the traditional sense it’s just drag-and-drop filling the blanks and away we go so for example let’s go back to the events the events are very we have an event engine that is actually very powerful there is many types of events there is a an event based on data for example if a PLC a variable changes so if we pick these control logics this tag in what this event

here is saying is if this value changes do something this is what we’re going to do in a little bit we’re gonna do it down here so this is what we call a data-driven or a data event an on-demand event is an event that you say it’s a trigger that you say run right now you say fire it or you have another trigger fire that’s not as interesting as scheduled trigger is that very familiar to everybody says this is a periodic type trigger run it every second every thousand milliseconds very simple but you could also be very granular and detailed when he runs you want it to run at 8:00 a.m. every day except in December for example so you could be very granular here and what customers use this for is maybe at the very beginning of the week at 1:00 in the morning this will run and will clear some accumulators maybe accumulators on the

IT system or accumulators on some device for example and then another trigger that fires on Friday at say 8:00 p.m. when nobody’s around he will do the totals in he will you know record the weekly type information somewhere maybe on a database so we’ll send it to IBM Watson or will archive it somewhere so this is a very powerful scheduler built into device wise then in the case of DC tools there’s there’s many kinds of event that a dc2 could send into US and one is of course a an atlas copco even message when the DC tool does are tightening he will send torque angle VIN identifier whether he passed and he failed and all the information about that Rondon I think it’s about a hundred items that are being delivered so

we capture all of those the key here though is that this data comes in has an event there is no polling here you’re going on the system is basically sleeping waiting until the controller signals are here is a rundown or a tightening event you could also get a trace event if you configure this driver or this particular device to say in addition to the rundowns I want you to send me the trace information in the digital business trace means is the waveform is the torque curve over time Newton meters per 50 some milliseconds so you’ll get eight nine hundred points and you could plot it and see how every fastening its should be alike if you start seeing trending and deviation you know something something is wrong so anyhow the bottom line here is the Atlas Copco events come in unsolicited a controller alarm for example could be a signal that is time to do calibration

so if you pick this in the trigger fires this means that a particular controller has succeeded at Wrestle before a calibration needs to happen so that’s on the on the Atlas Copco just to not elaborate here to match the we also support what we call PLC logic events PLC logic events is when the plc is the master here the plc knows best when you need to know the data so when that condition is met the plc then does a network transmission and sends you the information for example test results you do in a batch there’s about 20 40 analog values that have to be sent when the batch is complete you put them on a in a continued datablock maybe like a unity in rockwell and then you send it as a network instruction the the advantages of this is of course you don’t have to Paul you get the all the data in one frame atomically and consistent so there is no data mixing because you are polling individual tags you’re getting this as a transaction you also get lots of throughput with this he and also very little network utilization with that so those are the kinds of events you know we could go on and on but this will give you a flavor of the kind of event engine that we have so in then so that’s as far as the events now on the logic side you could we have multiple categories so for example in the case of Atlas

and you would see another entry if you have an IR tool or an apex clicker tool or a Bosch tool in the Atlas you could say I want to select the following program so you drop this here and then when these trigger fires based on some event you select a program on the controller so this is used for like in kind of scheduling if you are building a particular part the mes sends you the recipe so to speak you could then enable the tool you could set the tool with the right parameters to do the right operation and then run the operation disable it will on wait for the next piece of work from from your mes so this is very very flexible so this happens to be at lists of course you could do you could set link numbers identifier back size is

if you have multiple round ins one out of eight two out of eight three out of eight and so on and you know when the whole operation is complete on the enterprise side you could then drop what we call a transaction and the transaction could be a open a p.m. ticket or insert a row of data into insert a set of data into a table for example in this transaction is a high-level abstraction you could be doing our web services interaction with say IBM Macs you could do in a Boppy interaction with sa ppm

you could do a relational database insert or you could do delivering a JSON payload into some queue on IBM MQ or some netweaver JMS queue but the beauty here is you only use one instruction so may basically we make all IT systems look alike or it would demystify they all look like okay I’ll do a transaction so this is on the IT side we have also you know the traditional you could drop an email for example this email action you have to specify clearly the addressing information you know the server address the poor what kind of indication from who – who and you could even include attachments so if the business process is such that somebody delivers retest results on a file and you you have a signal you could just attach those files

and send them somewhere for archival or processing so very very powerful action here networking action you could do FTP is you could get files you could send files you could do string manipulation in the enterprise you could deliver data to IBM Watson for example JSON you could based on some tags and a template you could emit a JSON document that then later is used to be delivered first for somebody to consume like IBM Watson or some other IT system what else a bit manipulation you know some devices they send you data are highly encoded like the first four bits is this the next four bits is that so we could use some of this function to basically take it apart parse it and leverage it so I won’t bore you with all the actions but the reason is they’re pretty rich and you could do very very powerful business apps with this very simple

so what I’m going to do now is give you an idea how you will do something like if a big changes you send an email for you you get an idea how this works so you say data we’ll pick we’ll pick a bit and to be honest I don’t know if they’re changing or not but let’s just pick this one and then you drop like a email action here and that’s it so when that big changes we send an email and of course I’m gonna make this up and the port is 25 and then authentication yes and then you have user password

and then from plce OTE Ahmed calm for example to a plant manager at Acme calm and then you could say signal loss or something and then and then that’s it this is a simple is to to do some business logic this happens to be value change but we could make it to be if is equal to true or zero then then this will fire so this is this is how you deploy business logic and very easy drag-and-drop and discover so we’re gonna save it clearly this is a small step I have to give it a name demo signal email then you save it and so that’s basically how you would do very simple business logic that looks for a particular bit on a controller

and then when it’s true or is zero he will deliver an email to to somebody very simple to do so that is very simple it could be a database it could be any of the other IT systems that we mentioned and then I’m gonna give you a very quick overview here a little more complicated of a triggered we created a small web app which is a visualization HMI application to use the RDC tool that we have here for a quick demo

so you see some trace information and how we do this place or HMIS and this this triggers are not that much more complicated for example this sets a job they set a parameter or bite size very simple triggers or a complicated trigger will be a run down I run down he is the whole tightening in this particular case when the event happens the DC tool sends all the parameters all of them will record him into a built-in relational database that device wise has and then we’ll do a write to some device to signal that something came in if you notice you could do self documenting business logic so you could see what the person that did this trigger intended to do so it’s kind of self documented so oh so this is already built and

what I’m going to do is I’m going to show you this as it is running and then I’ll open it for questions let me see Atlas Copco demo refresh so this is what you see here is a web app that you could also is a web-based this fully web browser base is html5 in the interactions with device wise are done on a pop subway so the network load is minimal we only transmit when there are changes it’s a multi-client you could have multiple clients connected to this so you could have iPads phones or computers pointing at it and then what you’re going to see well you won’t be able to see what I’m doing

but I have a DC tool here and I’m pressing the fastening the trigger and you will see now that all the information is exchanging right this is happens to be a process that will take ten run done so he’s doing eight out of ten nine out of ten and what you see at the bottom is the torque information so you’ll be able to do repeatability or analytics in it one of the customers that Ricardo mentioned earlier gets this data for every run down or tightening and delivers this day for IBM Watson for analytics so very simple web app it’s a very light wave and is browser based so you could run it just about in any in any mobile or portable device

even a laptop or you could light up a big TV that is like an and on display so so that’s kind of what I had in as far as a live demo I think we have about good 15 minutes for questions questions and answers and I’m gonna hand the floor to Ricardo thank you well thank you so much David you see any comments from Max and Max yeah hi Ricardo thanks again yes so as you can see here on the page we have been offered a quick space a quick start package if you will that includes a year subscription of support and the software for up to 20 devices that includes unlimited drivers on both the enterprise

and the device side to free seats to the device wise University and a year of support included so you can contact myself Steve Sperry my contact information there’s various at MCMC comm or you can direct that inquiry to your local engineer for those of you outside of the Michigan area you’re certainly welcome to call me but as you can imagine we’re probably reaching out to your local support teams as well to help you with that so thanks so much Ricardo and David I really enjoy what

I’ve seen and hopefully the rest of the folks out there have enjoyed it as well thanks again for the opportunity to discuss this technology with our customers and and our design team thank you so much Steve thank you so much everyone if there is any question we good as to address any specific question that the – you guys might have sure yeah we have some time for questions here Ricardo I can get to a few that have been submitted one seconds let’s see here alright so we have one question this one came in a little bit early in the webinar so they’re asking about you know what exactly do you do you mean by no more codin

can you tell us some of the examples of how you’re removing coding from the equation I think we saw one example with the graphic user interface work what what David was showing us with the drag-and-drop but can you expand a little bit more on that Ricardo absolutely so basically when we say that it’s not required more coding device wise is one – that was created to really simplify the process of collecting data from any specific machine and then with the data enhance to decide about what is the business logic that will be created as David could show during the demo it’s not necessary for you to write one single line of code to really collect data from any existing PLC robot C&C or any to the the plant might be using push this data to one database and then decide what you want to do with this data for example if you want to feed si P

you can push the data directly to si P without collecting any data if you want to use any data that is today in si P for example what is the next part number to be produced you can push the data from SI p agree get this data into the data that is collected in the system and all this process without the necessity of writing software so basically this really can speed up a lot of development of applications like this and can significantly reduce the cost of maintaining those applications perfect there we go so that excellent answer to that question you have another one here and they’re asking what what part of the device wise for factory offering is is you know really reducing the latency you had that that table about the latency

there’s it is it the architecture or or exactly what aspect of it is causing that okay and well I can address that the reduction of the latency happens because of the efficiency of the software to really collect the data from all the devices there is one big difference when you’re using the by slice basically you’re not doing a pulling of data as normally is done by OPC technology we are natively talking to the different controllers and we can do theirs in many different ways one very efficient way of doing this is using unsolicited messaging so basically the viceroys can stay quiet and you collect the data when

when the data changes from the from the PLC and this happens really in milliseconds in a much faster way than any other system and with this reduction you can have what more productive process and as a consequence you can increase the productivity of the machines all right perfect we have another question here this is about OPC they’re saying how does OPC fit into device wise for factory if at all you still need the OPC okay so there is this two parts of that question OPC by itself it’s just a device access layer you have to develop the rest you have to develop code to talk to your IT system you have to develop code to handle

when the IT connectivity is down and so on so device wise has all of that built change right so that’s one level that OPC it’s a device access layer and device wise has its own device access layer and it has all the other component tree that you need to do an application ready one package one vendor the other aspect is if there is a need to talk to an OPC server because the machine is that’s all they provided there’s some zone dcs is on oil and gas for example that there is nothing but an OPC da server or a UA server available so what we do in device wise is we create a device just like you saw me do for rockwell you would say no let’s just say dcs and then you pick somewhere here da client and then you specify the credentials and the addressing

and then all the tags that our PC server exposes are now part of the device wise kind of ecosystem you could build business logic that way too so not only we have our native drivers there they’re coded birth to the metal at the Terramax level that’s why the speed but you could also leverage existing OPC da or UA infrastructure and bring that data into the device wise environment all right perfect all right hopefully they answer the question you can always follow up with us either in the chat there or on our toilet contact us pages let’s see but maybe maybe one or two more questions

we’ll do it seems like we have a little bit of time and then we’ll get back some time to the audience this one I have some pretty old legacy machines not sure they can connect to device wise the factory would be interested if they could so do we have any solutions for legacy machines so when you say legacy machines I have to assume that there are machines that maybe they have a serial port maybe they have nothing they’re just machines that don’t have serial or Ethernet they’re legacy machine

so we have a mechanism to bring that if you need external sensors of course but we have a mechanism that you will basically put this sensor on this machine say on the power source so when the machine is cutting the current level goes higher and will detect that in when it’s not cutting then you sense that okay there’s not enough current so it’s a zero so we have something called the atom box the atom box allows a legacy equipment not necessarily legacy equipment but equipment that is not easy to instrument for example palms DC motors stuff that is not networkable not yet at least and then you could put a sensor to detect when it’s on and when it’s off and what the beauty of the errand box is that it has the smart internally

that is always sensing this but informs device wise on a differential way so you could connect ton of sensors in the load on the network and on the CPU is minimal because we only get differentials and then will act on it so if it’s a state-transition zero one you hit the database like for FAS or a leaf for machines for example not necessarily metal coding but it could be pumps DC motors I’ve seen them used to basically monitor simply it’s on and it’s off it’s on and it’s off but it’s off the shelf easy to plug in and incorporates easily into device Rives perfect all right so it looks like we have a solution frame as well awesome

well I suppose those are all the questions that we have so far again if anybody wants to submit anything else of course can always do so on the TEL website I guess we’ll pass it over to Ricardo perhaps for any last comments absolutely thank you so much Chris I just would like to say that I appreciate for everyone that could join this disco I also highlight the partnership that we have with magnet and Mackay in Detroit region and certainly they can support with all the commercial and technical support also there for any questions we are always with our door opens and look forward to to have more interesting conversations with you thank you so much and have a good afternoon

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