On-Demand Webinar

Beyond Maturity: The Giatec Solution

If you have questions during this on-demand webinar, send an email to support@giatec.ca


It is incredibly important to have a strong understanding of concrete maturity when working on construction projects to ensure adequate strength and stability of concrete elements. 

Join Matthew Denton in this exclusive on-demand webinar to learn about many of Giatec’s solution in regards to concrete maturity and how they can help your company produce exceptional work.

Presented by

Matthew Denton

Matthew Denton

Channel Manager, Giatec Scientific


Good afternoon everybody. Welcome to our webinar today. We are going to run through a little bit of information about maturity and how we can use that maturity in our projects today. What are the solutions? What are the options out there if we want to use it, and how’s the best way that we can make that applicable to our market today?  

All right? So, without further ado, let’s jump into our presentation today and we’ll be able to deal with everything that’s in front of us. All right? It looks like everything is good, so if we jump into our presentation, yes, that is me; Matthew Denton, a pleasure to meet you all today. I’m here to talk a little bit about maturity. Bit of a background about me: I’ve been in construction, specifically concrete, since 2002. International experience, a lot of my background comes from a forward market formwork industry. I worked as a Giatec distributor in South Africa from 2016 and have been with Giatec and happily enjoying handling their international markets, which of course Europe falls apart of, since 2019.  

I’d like to start us off this afternoon. I’m going to show you just a quick video just so that you know that the company that you’re talking to and the people that you’re listening to this morning are not just some little company that started up a few days ago and some exciting tech company, but we are a little bit more than that. 

I’m going to just show you a quick little video about Giatec. We celebrated our 10th birthday last year, at the end of last year, and our team put together a little bit of a video just in celebration and in honor of that. 

Video: “Welcome to our modern world. Vast expanses of megastructures designed and engineered to keep us safe, give us power, expand our horizons, and give us joy. Centuries of human innovation built on a foundation of concrete, a foundation that has been laid with aging techniques, leaving infastructures that could last thousands of years, crumbling after 50. At Giatec, our mission is to revolutionize the concrete industry with dedication to creativity, passion, and integrity. Giatec is leveraging the latest in research tech and artificial intelligence to create leading edge construction solutions. Our suite of smart testing concrete products combined with our easy-to-use software give you real time data on concrete curing, hardening, humidity, and structural performance over its service life. Giatec is committed to a world class customer experience providing training, support, and access to our knowledgeable team of concrete experts. At Giatec, we will never stop innovating, bringing cutting edge solutions to century old problems. Allowing you to build concrete structures faster, safer, and more economically. Giatec. Revolutionizing the concrete industry.” 

Welcome to today’s webinar on Beyond Maturity. As was mentioned in the video that we just played for you, our vision at Giatec is to revolutionize the construction industry. We have been doing that through finding innovative solutions that address the current market needs and being in touch with our customers. Being in touch with the market has given us the ability to do that. As you can see over the last 10 years, Giatec started back in 2010, we have grown exponentially around the world. We’ve seen a huge amount of success, largely thankful to a product we’ll talk about a little bit today; our SmartRock®, but specifically around the continued engagement on maturity and the effect that we have seen on markets around the world where this real time information is becoming a critical factor in our fast-paced construction world of today. Today we’re going to cover a couple of points, and this is sort of a rough agenda to outline what we’re going to do. 

What is concrete maturity? What are the benefits? How do we implement a maturity calibration? A simple way to implement a maturity calibration and that I’ll show you today a little bit as well. And of course, validation of your maturity calibration through AI. So being able to verify your calibration, how we can do that by using software.  

Artificial intelligence. That’s something as well tied into the other two sections. We will show you some of the software that’s available today on how we can manage our projects through using maturity and of course using the benefits of AI.  

We’ll then also show you a quick time analysis of using the maturity method. So, this is based on a project that we were involved with. This is actually a real case study from a project where one of our customers were extremely happy with the results they achieved, and we were able to extract those results and be able to bring that to you today.  

And then of course, any webinar would not be complete without the “Solution.” So, we certainly want to talk to you about the Giatec Solution and what we’re putting on the table, what we can bring to you and your construction sites and how we can add value to what you’re doing today. 

So, let’s start with some basics and interestingly enough, you know, obviously the poll that we carried out was answered, and about 70% of the people that are here today have not yet used maturity on a project of theirs. However, we know that a lot of people are very aware of the maturity method and what it’s about. But we’ll go into a little bit of detail on that today. We’ll look at that and we’ll see how we can answer some of the questions that are on the table for us. 

So, if we look today at the way that we currently measure concrete strength, we have three main avenues, or choices, that we can make. One is field cured specimens.  

These are samples, whether it is cylinders or whether it is cubes is irrelevant. However, these are samples that are maintained on site, so when the concrete is poured, when your pour takes place, samples are taken. Those samples are kept on site to try and imitate the site conditions of the concrete. So, your placed concrete is, of course, being exposed to the elements; to ambient temperature, to external temperature gains and losses. Therefore, that would have a major impact on your actual concrete. Through field cured samples, we are able to then monitor two and agree what is happening on site.  

Of course, the most common one that we know, and that we all use and we’re very familiar with, is lab cured samples. Again, whether it is cylinders or cubes is irrelevant. However, what is important here is that we’re maintaining those samples at a constant temperature. So, we put them in a curing bath because we want to maintain them in either 22, 23, 24, 25 degrees depending on which market you’re in. And of course, that then will give you a sort of consistent temperature reading, which would then provide a consistent strength curing rate.  

The third method that is available today to measure concrete strength is the maturity meter, and this is where we take real time temperature and strength within the concrete element, and we calculate that strength from the temperature. But don’t let me get into that too much. 

Now we will talk about that in a minute. So, what are the limitations of the most commonly used methods that we have at our disposal right now? If we’re doing cubes, if we’re doing cylinders, there’s a couple of issues that we’re going to face with that and, of course, the one issue is accurate temperature conditions.  

These small samples here are going to be taken after 24 hours back to a lab, and they’re going to be cured, and that is not going to be indicative of the environment that the concrete that has been poured is in. We know that there will be delayed results because of these, so of course we know that when the environment is different, but also the just the mere logistics of getting those samples out, having to crush those at certain times, is going to pose some delays and bring across some challenges there. 

Limited information. If you can imagine the samples that we’re taking or just going, “Snap snap snap,” so we only have those snapshots of the timeline of the concrete. So, once we crush on day three, we only know what the strength is at the moment of which we crush that sample. We don’t know what it is an hour, two hours, or a day before or day after, and these are some of the challenges that we are faced with in these methods that we’re using.  

Local variations. This also plays a factor. Different ways to poke the samples. Different ways to vibrate the samples, different ways to actually pull? Do you take the sample from the beginning of the batch? Do you take it at the end of the batch? In the middle of the batch? And these are many variations as you travel to different markets and different countries, you will see very quickly that the standard practice is certainly no standard and there are different standards that apply around the world. 

We have a low visibility as well. This information is very limited. As I mentioned a little bit earlier, it doesn’t really tell us too much about the concrete, what’s happening on site and what the concrete’s really been exposed to. And again, because of the number of samples we’re taking, we only have very small sort of time frames of where the concrete is.  

So, if we talk about maturity, what is maturity? Now this is a question I always like to ask, and we always want to ask this question before we answer it, and that is: What is maturity? Have you used maturity before? A majority of you said “no,” to that question, but perhaps you know about maturity? Perhaps you have engaged with maturity before in some way? And of course, this would be interesting to note.  

So how do we answer this question? Maturity is a nondestructive method to estimate real time strength in your concrete. Typically, early age. Typically, within 14 days. All right, how do we do that? It uses the temperature history of our concrete curing to estimate the concrete strength, but that would be based on a calibration of a particular mix design which we have then done a maturity strength curve for. So again, we can calculate the strength of the concrete of a specific mix design if we have the maturity calibration based on the temperature history.  

What does that give us? That gives us this. That gives us this result right here. So, we have a graph here which has strength on this axis here, and we have the maturity index on this axis here. And these two values are the values that we’re looking for.  

With the calibration, and we’ll see how we do a calibration in a few minutes. With the calibration you would be able to see what the relationship is between the maturity index over here. So, on this line here versus the strength, what is that correlation? Alright. So, let’s go into a little bit more detail.  

If we do a quick comparison, and this is a real case study that we took, and we took samples on site. We took field samples on site. We took lab samples on site, and we did some sensors with the actual SmartRock in the slab. With those we were able to monitor the temperature of those three different concretes. So, to remind you again, this is the same concrete batch, but we’ve just placed the concrete in different scenarios, all right. So, if we look at the first one now, this one isn’t too much of a surprise. I think for many of us that as soon as we pour an element that has got some sort of mass or some sort of size, it’s going to have a spike in that temperature because we know that the heat of hydration is taking place, there’s a chemical reaction there, and that chemical reaction generates that heat. And of course, this is fairly common where we see on the elements and as the element gets bigger, so from a slab to a raft slab to big walls to peers to columns, whatever it may be, the larger the element, the larger this initial spike in the first 24 hours will be.  

When we go to the next one, which is the lab sample, so these are the two that we will probably be interested in comparing the most, but the blue line is what we’re currently doing. Right. We’re pouring a sample on site. It’s gaining a little bit of heat, but as soon as that temperature starts dropping ’cause it’s the afternoon, it’s nighttime, now it’s getting nice and cold. And that little cube or that cylinder, they’re only so big. They’re going to give off and lose their heat quite quickly, and therefore we see that being very affected by that day night drop in the temperature. In this particular case, the site temperature dropped quite low. About eight to nine degrees. And you can see that is apparent from the graph here, but of course the moment we put that into the curing bath, everything is fine. It just continues on back up to the 22-23 degrees and it follows that plateau of that temperature, and that is what we see.  

If we had to do a field cured sample in the same environment, we would see something like this. We would see a bit of a drop off again because we’ve got a small sample that’s kept on site, and then we would see a little bit of a pickup as well, because the day temperatures go up. But before it can reach too much temperature, the temperature goes down and we see sort of this up, down, day night cycle and we can see that the bigger element of the in-place concrete on this yellow or green line. Sorry not yellow, on this green line also gives us some information and shows us that the concrete, even the bigger element of concrete, is impacted by the ambient temperature and the conditions on site. And this is important for us to take note of. Alright, here we go. Okay, next. 

If we look at our field cured versus lab cured versus in place strength results. We get a very interesting graph over here. So, as you imagine, the green line is the line from the previous graph where we had that big spike. And as you can see, immediately within the first 24 to 48 hours we can see that there is a big spike in that strength of the concrete. Remember, now we’re looking at strength over time and for the blue one we see a bit of a dip because obviously that was kept outside and that dropped. Remember, in the first 24 hours there was a big drop that caused that, and then as we get to the red line, we see that was sort of a little bit more levelheaded. But once it gets to the lab curing samples, it’s pretty much not too different. 

Applications of concrete maturity. Any way that we have concrete strength is relevant for concrete maturity. So, in other words, formwork removal, when we need to know what the concrete strength is so that we can strip out the formwork. Concrete maturity is relevant when we need to know with mass concrete what the concrete strength is because those elements are so big, and we know that the temperature is different. Therefore, the curing is different. Therefore, the samples, the cylinders, the cubes that we have are not going to work. 

Implementing a maturity calibration. How simple can it be? Alright, so, as I mentioned, we spoke about maturity. If there are any questions about maturity, now is a great time to ask. If you have any questions or you’re wondering about of what I’ve discussed already about the maturity method, how that sort of works and how those different results are produced from the same concrete mix. If there are no more questions, then I will move forward. Great, thank you. 

Alright, so SmartRock technology. How simple is it right? We might be a little bit biased here obviously, SmartRock being our product, but we believe this is extremely simple. So, once you download the app, you just need to tag a sensor. That is done through the application, and I’ll show you here. This is a what a SmartRock looks like at this moment, and we’ll give a bit more presentation to that. A little bit later, but when you have the app, you tag a sensor so you’re going to just give it a name and say, “Oh, in this case we’re giving it beyond maturity.” We’re going to install the sensor in the concrete element, so in this case it would be in a cube or a cylinder to measure the temperature of the cube or cylinder. Of course, we want to have some sensors in the slab as well, and as you can see, that’s a post tension deck, so timing is of the essence there as well. And then we’re going to pour the concrete so into our sample into our data, and then we’re going to download the data. All right. So, there we can see there’s a nice shot there of us downloading the information and then the output that we get on the other side.  

Alright. If we have a look at implementing, if we’re going to associate a maturity index to break those dots, there’s a few things that we need to be aware of, and we need to do. But at the end of the day, what we’re looking for here is we have a date and temperature, and a date and temperature is the temperature below which concrete does not cure. So that’s sort of a flat line. So, anything that goes below that will not cure. And then, of course, we have to have a stock time, or it’s start time depending on which way it is. Then we calculate the area. So, the area under this temperature graph that we have here is where we get our maturity index and that then gives us the values in which we saw a little bit earlier, which might have seemed a little bit confusing. 

Alright, so with five easy steps we can generate the calibration. The first step is we need to prepare 17 samples. 15 of those samples will go to strength monitoring and be crushed for a strength result. Two will be kept back for monitoring the calibration. So, what they will be doing is they will be taking the temperature every 15 minutes and accumulating the degrees per hour and calculating that automatically for us. So that’s something that we don’t have to worry about, which is very handy because that can be very time-consuming.  

What is very important about this whole process is that all these samples, the five and the 15 samples and the two samples with the two sensors need to be kept in the same curing conditions. If we don’t keep the same curing conditions, of course, our calibration is going to be off and not provide us with accurate results.  

Okay, Step three. All right, so this is important. So here we go. Select the five minimum time points. The five time points that we select will be important for us to note the time at which we selected them. So, in other words, if I have a sensor in my cube and I’m monitoring the temperature and I want to know at what time, at this certain time right now, what is the gain of that concrete?  

And the gain of that concrete will be based on a couple of things. So, what’s important here is that we want to know what our concrete is doing so that we can be monitoring this in real time, and in order for us to have that, we need to know what the strength result was at that particular time, so we can know what the maturity index was at that particular time.  

All right. So, with our average maturity at a specific age, so based on the two sensors that we have in the cubes or in the cylinders, we’ll have a maturity index and that maturity index at that specific time will give us a correlation. So, let’s see what that looks like on a graph very quickly. 

So here we have got a nice graph. We’ve got a strength maturity graph, and we have our table on the left-hand side. The first set of values that we want to get and determine is the strength. So, we determined that on day one we measured a 10 MPA string. On day three, we measured a 20 MPA string and on day seven or 24. So as we continued there, we received those results. So, now we have a strength data set, so with that strength dots set, we can plot that on the graph. 

Then the next data set that we have is the maturity. Now this maturity index is automatically calculated through using the SmartRock. So, when you have the application and you have a sensor installed into one of the samples, that will then provide you with the actual maturity index for those specific times and dates that you gain the strength in. And once you have that, as you can see, it’s very simple. All you’re doing is plotting this on the graph with the maturity index on this axis and the strength information on this axis. All right, so the five steps alright. 

So let’s look at the overview of this. How does this work right? We have got the first three steps, which is monitoring the strength. As you saw, we’re going to take those 15 samples, we’re going to measure the strength from that. We’re going to take the two samples that we have to measure the maturity index by using the SmartRock, and that’s as simple as it is. Okay, perfect. 

All right, simple way to implement maturity calibration. All right? So, of course one of the other, you know the older methods, and I’d like to emphasize this at this point quickly. That is, that with a regular maturity system, which has been in existence for 20-30 years, the challenge that you have is you’re always trying to get some more data, put that into an Excel sheet or doing some sort of calculation there in order to calculate the maturity index. Then you need to just tabulate that. Match that up with the indexes, and then match that up with the strength and then use them. Of course, gains the same ultimate goal with the SmartRock. Though the advantage is that we can create a mixed calibration through using our software. 

So let me show you here very quickly. This is just a demo account that I have opened here which is going to allow us to have a quick overview, and we’ll come back to this account again a little bit later, but if we go to our mixers over here, I can then go to my mix. I can see, firstly, these are all the mixers that I have in existence. No problems. But if I want to create a new mix, this will be quite interesting. So, what we will do here is we’ll put in a mix ID. Let’s go, let’s say “Beyond Maturity Example.” All right. Which plant are we using? Well, I’m down here in Cape Town, so we’ll say we’re using a Cape Town plant. And the producer, we’ll make that “Giatec Cement.” Okay. Then, of course, we have our country. Let’s make it South Africa. Nice and proud, we don’t have states here, we have a western province, which would be a state.  

You might be asking me, “Matthew, why are we putting all this information?” Well, just a few moments ago I actually had a conversation with a ready-mix company who was interested in implementing SmartRock in there. One of the first comments they had was, “You know Matthew. We have different mixes, but we have the same mix but it’s from different batching plants.” Therefore, the performance, because they’re having different aggregates because they’re having different cement grades, whatever it may be, we do find that the strength results are different. So, the more information that you can put at this stage, the more information you’re going to have at a later stage when you’re trying to figure out, “Okay, which is this? And how does this work?” Yeah, all right. That’s all for now, I won’t put anymore now.  

All right, and so dates and temperature. Dating temperature is the temperature below which the concrete stops curing. We typically use zero because we feel that that makes the most sense, but again, today I’m going to use zero. Then we can check, we have a number of options here. What information do we? Okay, so under maturity strength we can go here and we can actually put in, manually, enter in the information that we may have from our calibration, and we’ll be able to put that in. We’ve got a temperature curve, so this one is the nice one. This is the automated one. This is the one where I can go here and I can find my sensor in here somewhere. So, let’s see. I’m not too fazed here. Which one we choose? So, we could probably choose that one. And let me see if we can find another one over here. In fact, I’m going to use the same one twice. Now we’ve got a graph here.  

So, in this graph we have the time at the bottom, and we have the temperature, right? That’s giving us the maturity index as information here. So it’s saying “Right, here we go. This information is in all right. If there’s anything else you need to change that’s good.” Then we can go on. We’re not going to do that today, but we can go on to put in mixed proportions and then of course get our final summary. Now what that means is that I will have a maturity calibration that I can be ready to pick up and go and use with the project where it is relevant. So that is a very nice feature we find in our Giatec 360 software. 

Alright, so validation of the maturity calibration. So, we’ve got a site. We’ve done a calibration. We’ve been pouring some concrete, we’re worried that some things may have changed. We’re worried that the cement supplier might change, or he’s got weird aggregates in there, and so this is where validation becomes important. This chip usually requires one sensor and what you’re doing is you’re crossing your regular field samples, and then one of you’re going to create an additional one in order to just monitor the temperature inside those samples. So, when you monitor that temperature inside those samples, you’re going to get a strength based on the maturity, and that will then be validated by you crushing the other samples that you took at the same time. So, as I said, keeping the same curing conditions and then we’re going to see all the strength results that we’re getting in our validation within that allowable boundary, allowable band that we have as well. Okay, good all right. 

How to do a validation? We won’t go into the details of that. I think that’s not right for this. 

But let’s talk a little bit about some artificial intelligence in concrete. Now, there’s something that is brand new that we’ve just released not even two weeks ago.  Before I jump into the rest of the presentation and that is the SmartMix software. Now, if you hadn’t had a chance and, I’ll actually put a link quickly in the chat here as well. But if you have not had a chance to go to our website and see this, it really is quite something. We have developed a nice software which is going to allow you to do some real smart mix design. Now you excuse the pun because the actual software is called SmartMix, but what it allows you to do, and I’ll put it in the chat there so you can click on that link whenever. What that SmartMix allows you to do is input the ingredients of your design. With the input of your mixed design, the artificial intelligence will be able to determine what the prediction is and the strength prediction is for that particular mix design. If you want to work on that mix design a little bit, and let’s say you’ve done a mix design, you see the predictive strength from the AR model. It’s going to say, you know, “Do you want to keep this? What you want to do?” And of course, one of the things you could do then is set in target dates with target strength. So, let’s say we’re trying to reach strength of 30 MPA by day 14. You would be able to then enter that information in. You would be able to select which ingredients we do not want to change and, excuse me, our smart mix software would be able to give you feedback on which of the ingredients can be changed. Which of them can be reduced or maybe optimized or just increased, and that would be determined by the AI that we have. All right. 

Mr. Dastan, you have asked the question there as well. Thank you very much. So how much difference between real and estimated strength can be seen on this method? Well, you know when we talk about real strength, we talk about on-site real strength. We’re accurate to within one MPA. We have enough papers and research papers to show you that. But essentially the maturity method has been proven to be within one MPA of the actual real concrete strength. I’m not talking about the strength that you’re crushing in your samples, I’m talking about your actual on-site strength, so if you have any, I hope that answers your question. Okay, fantastic. Thank you very much for the information, all right.  

So, let’s talk about artificial intelligence quickly in concrete. I’d like you to meet Roxi. Roxi has a couple of very nice features, as you can imagine, to measure concrete strength through maturity. We need to know at what point that sensor has been covered by concrete because, at that point, we know that then the concrete has begun its process. So, starting to cure or starting to set, starting to harden, whichever it may be. Roxi can then do some pouring times and suggest that on temperature history. So, she’ll look at the history and she’ll say, “You know what Matthew, I’m not sure that for this particular project, that’s the right spot to be put there because, what we’re looking at there, you’ve selected a pouring time,” and she will come back to you and say, “Well, it looks like this is a more realistic pouring time. Would you like to adjust it?” and of course, if you’re sure about the information you’ve put in, you don’t need to make any changes there. Which is of course great. 

All right. Mix validation. So that’s something I spoke about sort of briefly, but that was our SmartMix software. Right now, we’re talking about our Giatec 360 software. In the Giatec 360 software, what you are able to do is design, and as I mentioned earlier, you can do a design mix and then it can predict the strength of the design mix based on AI. Right, but with mixed validation you can enter in those mixed data into your Giatec 360 account, and you can put in a target string and a target date, and it will spit out to you how much you can reduce by either your water cement ratio or just through cement ratio, whichever one becomes more economical for you. Okay. 

Any questions at this stage? Alright, great, we’re doing good. Alright, so let me just change this quickly. 

Right. This nice couple of shots of our application, which I’ll show you a little bit more a little bit later. But at this point, there you can see your minimum maximum temperatures plus the strength. Of course, don’t worry, we have metric as well. Imperial is just for North America, and as you can see over here, you’ve selected this start time right here. Now as we move into Roxi, Roxi is giving us the feedback of where she thinks our start point should be. When was the concrete covered? She’s saying it should be there. Okay. 

Mixed validation, I spoke about that very quickly already. Giatec AI assistant. Yeah, Roxi is fantastic. She’s really great and I would encourage all of you, if you have the opportunity, to try and do some work with her. Very intelligent software. Okay. 

Let’s have a look at a quick time savings analysis of the maturity method, and here we’ve got a nice comparison between field cured and in-place strength, right? So, our field cured, and in-place concrete can be similar but are subject to different temperatures. So, for example, your field cured is kept on site. Maybe it’s kept underground maybe whatever it would be, that is still not going to be representative of the concrete temperature and concrete strength and temperature gain that has taken place in the meantime.  So yeah, we can see our last comparison side by side, with our temperature graph on this side over here as you can see the black line is our temperature graph and the green line is our lab samples that we’ve sent out to the lab. As you can see here, immediately without looking at anything else, there’s a temperature challenge here in that that differential is too high. It shouldn’t be so high, so either the top concrete going to come lower, or the bottom corner is going to come higher. Then of course, once we’ve input that information into this graph, here we can see the strength of this particular concrete. We can see the strength of that gain with the gain of that strength here in the black line. For the in-place concrete and we can see the green for the lab cured samples. Okay. 

All right, I’ve shown you this graph already. I don’t want to harp on that too much. We’ll come back to that, but again, here is a very nice table to show you what are the real savings in your pocket. Now if you look at this, this was just a very simple slab that we did but if you look at the in-place concrete, it is more than double the strength of the field cylinder that was left outside or it’s about 50%. Maybe a bit more; 70% of the lab cured sample. So, this is really interesting, and I think something important for us to keep in mind going forward. 

OK, so let’s talk a little bit about the Giatec solution and I would like to play you another video very quickly. That is this one, and let me click play here and then I’ll let that play. 

Alright, nice little flashy video there to get us going. OK alright, so as you saw in the video, very simple, very easy, very straightforward. Here we have our SmartRock device in front of us. Just for scale, just to give you some sort of idea what that looks like. There you can see very small handheld thing that clips in. As you saw, the installation very easy. The rubberized band rubs wraps around your rebar. That gets secured to rebar, your cable runs down into your concrete where you want to measure your strength or your temperature, and then of course inside the body is where all the brains happen, so all the information that gets stored. Now this takes a temperature reading every 15 minutes and with that temperature history that we collect, we calculate the maturity index and therefore can determine the early age strength. 

All right, let’s jump on. Okay, so if we just look at that, just a quick little step by step here, create a project, create sections within the project. Twist the metal wires again. That was the previous version that we had. So, in our case all you need to do to activate the sensor here is just pull out the cable and you’ll see that there’s a little green light flashing, and that will then activate the sensor. You can write the sensor name on the sensors and of course in the new version as you saw in the video, all you need to do is scan the QR code and the sensor will be added. This is a little bit like what the interface looks like on the smartphone. You can create a project. You can create different sections under that project and of course under these sections you excuse me, can have different sensors. 

So, to answer the question there, Mr. Kiran in the chat, this device measures temperature to calculate strength. So, you can use this device for both. You can use that to measure temperature as well as strength in the concrete. OK. 

All right, let’s move on. So, another asset or facet to the SmartRock solution would be the SmartHub. This would allow remote collection of the data. So, as you saw in the video there, you know, your contractor, yourself will go into site, your engineer, whoever it may be. Open up his phone, collect the sensor data onto his phone. The moment that he’s collected that data onto his phone, if his phone is connected to the Internet, that will be transmitted to the cloud and then of course accessible by anyone who has the application and who has been shared the project. Further to that, if you don’t want to have to do that manual process, you can leave one of these SmartHubs on site. That will then collect the data from the sensors and automatically upload that to a cloud. But again, this is an optional extra and in many cases is not really required, because inevitably we always do have someone on site who is going to be able to collect the data from the sensors remotely. 

All right, the Giatec 360 software. That is the brains, let’s say behind the operation so you can collect your information. You can have a nice overview of all your projects that you have. You can go into the detail of your projects. You can see a list of your projects. You can see the name of the project, the ID, the number of sensors and the created time and the last time that was updated. Within that as well, we can do strength prediction. So, let’s say you’ve got a collection of data you’ve been monitoring, your concrete temperature and maturity in real time, you would be able to do a predictive strength. So this would require you having to either use the weather forecast, which would look for the closest weather station to your project and determine the temperature from there. Or you can put in a fixed curing temperature and say, “OK. I want to work on an average of 22 degrees,” and with that temperature prediction like this. Right. 

Okay, then just another feature here for our ready-mix producers. Some nice integration that we have here as well is that a lot of our ready-mix producers are using the SmartRock. They’re dispatching the SmartRock to site so the customer gets the use and the benefits of the SmartRock. Then of course, the advantage here is that that information comes back to the ready-mix producer, and they are able to analyze their mixes and have a look in detail in their mixes to see whether or not they’re overperforming, underperforming. How can they improve their mixers? To really get down to the nitty gritty and save time, money and cement in many cases. All right.

I am going to stop there for a moment. I’d like to take a break now for a second to say thank you very much. I’m looking forward to engaging with you all in a one-on-one level and providing you with some SmartRock. I hopefully addressed any other questions that you may have. 

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