The EU Industry Days is surely one of the most interesting thematical events organized by the European Commission. It is an annual event aiming to discuss industry challenges and co-develop opportunities and policy responses involving a multitude of actors and stakeholders from various fields. This year’s edition of the EU Industry Days was organised as a blended event with both virtual and face-to-face interactions. The main event took place in Brussels, Belgium between 8-11 of February 2022, with an extensive agenda of key issues and themes deserving European if not global attention. Among those were purely green topics like Europe’s decarbonization goals, reducing emissions, sustainable aviation and others, but also other important industry-related aspects such as making tourism more sustainable, supporting European citizens to stay Europeans, industrials and technological solutions and innovation, advanced manufacturing, investments and support for digitalization any many others.
Have a look at the gallery below to see more of this year’s highlights:
Have a virtual tour of the Exhibition Though the virtual event has ended, you may still sign up for it and check out the available virtual EU Industry Days exhibition, where you will be able to learn about varoius initiatives in the ares of (1) Green and Digital Transition and (2) Green and Digital New Business Models. You will also learn about some funding opportunities for businesses, get access to networking opportunities and meet pepople of interests via the provided contact options.
Join locally organised EU Industry Days events The best part about the EU Industry Days is that it is not yet over! Remeber, this is a European wide event, meaning you can still receive valuble information on your topics of interest and even better – interact with local actors. You may follow the EU Industry Weeks local events via the official webpage here, where you can sort events by thematic areas, country and dates. Virtual workshops, fairs, seminars, open door sessions and business presentations will demonstrate how European industrial ecosystems are approaching the topics of green and digital transition, resilience and youth in industry.
Listen to the official ‘Unlocking the Future’, the EU Industry Days podcast series Interested in some more focused discussions on a topic you are interested? Well then, we totally reccomend that you check out the EU Industry Days podcast, where contributions from a wide variety industry insiders, civil society representatives, academics, and many others share their thoughts about the trends, challenges but mostly opportunities that the green, digital, and resilient transition brings for European industries. By the way, we really like listening to the “The Role of Networking Organizations” podcast, where Mr. Matteo Carlo Borsani, Managing Director of Confindustria Delegation to the EU said:
"This pandemic has shown that you can not be selfish.
If you want to survive, if you want to react and be competitive for the time being and the future,
you need to act as a whole."
The Digitization of production is a challenge for the manufacturing sector. For that reason, AFM CLUSTER is participating in projects such as SMART-EASY. The project pursues the development of a new generation of digitally replicated and sensorized machines and processes to offer intelligent assistance during the definition of processes, as well as a guarantee of quality and productivity during their execution.
AFM is the manager and coordinator of the project led by Nicolás Correa, in which the following companies also take part: Ibarmia, GNC Hypatia, Shuton, Talleres MYL, Álava Ingenieros, MonoM (formerly ThingsO2), Inmapa Aeronáutica, together with the research bodies: Tecnalia Research & Innovation, the University of Burgos and the University of the Basque Country UPV/EHU. The initiative is financed by the Centre for Industrial Technological Development (CDTI) and the Ministry of Science and Innovation of Spain.
The global objective of the SMART-EASY project is to develop a new concept of autonomous and intelligent machine-tool which, on the one hand, assists its manufacturer users in the different stages associated to advanced manufacturing (parts preparation, launching of processes, executing operations, etc.) and, on the other hand, supervises these manufacturing operations and, where applicable, adopts decisions aimed at optimising its quality and productivity, thereby reducing the overall need for human supervision and intervention during the different stages of production.
With this project outlook, the companies in the consortium, which synergistically cover the different stages in the manufacturing value chain, are developing different hardware and software solutions, key among which are the following:
A system based on artificial vision, which assists the user in positioning and aligning the machine parts.
Thermal twins for machines that enable application of online offsetting techniques for thermal errors.
A system to oversee the stability and productivity of manufacturing processes that includes a diagnostic and online action system to detect the presence of any error or deviation.
A system to monitor the health status of the more critical components of the machine by executing regular checking cycles: Fingerprint of the machine and its components.
A system to record information on manufacturing processes, such as tools, surface quality, cutting parameters, etc.: Process fingerprint.
A tool manager based on process data that enables parameters such as status and the remaining life of these tools to be estimated.
With the integration and implementation of these results, the project consortium expects to achieve reductions of up to 50% in times and costs associated to the operation’s definition and launch phase, reductions of over 15% in maintenance costs on milling machines, and reductions of over 20% in consumables, lubricants and coolants used in machining operations.
The SMART-EASY project requires digital competencies and projects like DTAM will help to develop them for the current and future workers. DTAM Training Course will consist of approximately 25 training units on digital and transversal skills relevant for IT and OT technicians in AM environments that contribute to the major areas of Industry 4.0 and the foreseen sections of Big Data, Machine Learning, Sensors and Cybersecurity.
In the Neolithic period, humans began to cultivate the land and breed animals. In this way, they began to have something like a steady diet, and sedentary human groups began to emerge, which led to the formation of the first fixed settlements. This was around 3,000 BC.
As time went by, the first cities in history began to emerge in very specific geographical areas with specific natural conditions. People who lived there were able to develop great agricultural and manufacturing activities with innovations in sowing and production (plough, lathe, wheel, a network of canalс etc.). Little by little, people began to specialise in order to achieve improvements in production and communications, which favoured trade, while the invention of writing allowed a better accounting of economic transactions.
Soon, the somewhat primitive and unsafe villages began to develop into real urban centres with stone buildings, avenues, etc. The appearance of these urban centres brought changes in the social and economic life of the people. In the same way, economic activities were also changing, commerce and industry began to develop… But apart from all these economic activities, the structuring of knowledge and technology has been fundamental in responding to the challenges of the urban transformation processes in which cities find themselves and which are known as Smart Cities.
It is in the 21st century, and especially in its second decade when the main transformations are taking place, at great speed, due to the exponential development of technologies, which are changing economic and social models.
In the face of these transformations, one of the objectives that we must define, and address is the preservation and improvement of the quality of life of living beings on the planet. Focusing on the case of people, the majority of us live in cities; cities that must expand with ethical and environmental criteria, respecting the commitments of the 2030 Agenda and the Sustainable Development Goals. Both public and private agents must ensure the sustainability and resilience of cities in order to improve the quality of life of their inhabitants.
To this end, it will be essential to take advantage of renewable energy sources, to commit to sustainable electromobility, to the almost total elimination of emissions from energy generation, industry, transport… In this regard, there are several reports that are committed to Artificial Intelligence (AI) as an enabling technology to achieve this goal.
AI, and in particular machine learning, time series forecasting, data analytics, etc., have a crucial role to play in redesigning and rethinking cities so that people living there have a better quality of life.
For example, learning combined with neural networks can help us understand how buildings consume energy and recommend adjustments based on the behaviour of their occupants. In addition, it can help us to automatically control the management of the water cycle, achieving its optimisation and efficiency.
At GAIA, we have defined how it is possible to make the incorporation of AI into the different value chains of organisations a reality. Below, we present its outline:
However, cities need revolutionary methodologies and tools to optimise massive amounts of data from different sources (e.g. streetlights, traffic systems, sensors, etc.) and need to centralise data storage in complex global and often fragmented supply chains. This is where Big Data analytics and AI, in general, come into play, which is why DTAM sees the need to develop training content that trains students in these skills.
In conclusion, we can say that it will be crucial to have data and carry out in-depth analyses of it, but we will have to be able to learn from it because only then, we will be able to make the right decisions. With this, and with the appropriate use of AI, we will achieve a sustainable future with better living conditions for citizens and the planet. An end that unites us all.
If you’ve been following us for a while now, you already know we are aiming to build an entire training course dedicated to advanced manufacturing skills & competencies and in addition to that, a dedicated IoT Hub to facilitate training, learning, and collaboration amongst our future stakeholders. An ambitious initiative indeed, but we’ve already laid down the first steps.
The backbone of our DTAM IoT Hub i.e. its infrastructure will be provided by our partners from Saranet: one of the leading providers of internet solutions for businesses in Spain. Saranet specializes in offering integral and high-quality services to companies. It provides a full range of services including high speed, high availability connectivity services, high-end data center solutions with an extensive portfolio of hosting solutions, Virtual Private Networks (VPN), Voice over IP (VoIP), mobile solutions, security solutions, and Industrial IoT.
That’s exactly why Saranet is charged with the responsibility to build the DTAM IoT Hub and provide the cloud infrastructure to install the IoT technologies and software. Simultaneously to building our training curriculum we are also taking steps towards that goal like testing the software installation in a staging area i.e. a test area in the Sarenet cloud. Sarenet brings support to the provision of the entire centralized architecture so that those responsible for teaching methodologies can model the dimensioning of a centralized working environment in the cloud.
DTAM cloud architecture will be implemented so that those responsible for technical knowledge, experts in enabling technologies, develop the start-up for the use of Big Data through open-source software located in the Sarenet data centers.
The cluster of several servers in the cloud, necessary for the proper functioning of the DTAM project, will be tied to a secure access control and with appropriate technologies, so that the target IoT teaching methods can be practiced with open source software added within a trusted environment.
Sarenet’s system engineering team accompanies DTAM in the correct use of communications and technologies for jobs in the cloud, together with monitored access to the centralized data storage.
Sounds exciting? That’s because it is. We invite you to sign up for our newsletter here and check our website regularly to make sure you don’t miss the bis announcement when we are ready to launch the DTAM IoT Hub. Is there a feature you would personally like to experience via our DTAM Training curriculum? Let us know on our social media channels.
The International Vocational Education and Training Congress “VET in the face of the era of humanity, technology and intelligence” took place on November 10th and 11th in San Sebastián (Spain).
Local and national authorities attended the Congress in which high-level speakers from different fields participated. About 960 people physically attended the exhibitions in very diverse fields: from industry and technology to gastronomy, highlighting the educational field, all of them referring to the advance of the 4th Industrial Revolution and their involvement in Vocational Education and Training.
Moreover, the International Congress was followed around the world via streaming. Adding the number of people who attended the congress in person at the Kursaal Palace in San Sebastián to all those registered to follow the interventions online, the sum adds up to a total a little over 4200 people, from 156 countries on five continents.
The Congress highlighted the importance of technology not only in the near future but at the present time in the face of the 4th Industrial Revolution. The interventions underlined the importance of the human dimension since it is ultimately people who have to acquire the leading role in technological development.
Artificial intelligence, intelligent systems, automation or robotization are increasingly everyday realities that are changing society, the way of working, or the way of interacting with one another. In this context, technology must be an aid to the human being and not an end in itself. Because technology alone is not enough, it is key to prepare coming generations to work and live in this new environment. In this context, Vocational Education and Training becomes a key transforming agent: it trains the workers of the future, enables those who are active and the unemployed to upskill and reskill to the changes of the labor market, and allows companies to be competitive.
That is precisely one of our DTAM project goals i.e. to “grow a workforce of technicians capable of understanding, installing, configuring, monitoring, analyzing, transferring data and maintaining digital systems in advanced manufacturing environments so meeting a critical skills gap in EU Industry 4.0”.
We invite you to have a look at our official project presentation below to learn how we intend to achieve that.
During one of his keynotes, Microsoft’s CEO Satya Nadella once spoke about data as today’s ‘electricity’ meaning it is the thing that drives innovation forwards, just like it was with steam, electrical power, and digital tech in the past three industrial revolutions.
There’s probably not a single business out there that does not recognize the value of data in general. However the usage of data has long passed the simple record-keeping threshold, it is literary so much more: much more complicated, with much higher velocity, variety, veracity and yes, much bigger volume. We live in the era of Big data.
Just in case you are stumbling upon this term for the first time, though we doubt that, Big data is about collecting and analyzing internal and external data to create actionable insights and improve decision making in an organisation.
Because of Big Data, companies are in a position of growing ability to target, collect and store information, then analyze it in order to create new revenue streams and even predict market trends and customer preferences. They can also use it to streamline their products, services and business processes.
Big Data matters since it is very often considered as the most vital and powerful asset of any existing enterprise. Understanding of data and how it can be used in the best possible way is crucial especially for the small and medium businesses which are constantly facing an increasingly competitive market. An investment in Big Data always pays off when the data gathered is (1) being analyzed in order to be able to take measures and (2) act purposefully on the received data i.e. create insights. Big Data helps gaining more complete answers on varoius matters and very often reveals “hidden” but otherwise valuble information. Having enough information means you are becoming more confident in decision making and therefore could lead to a completely different approach for tackling business problems.
While it is true that the best Big Data solution for your organization is the one that is comprised according to your needs, there are some benefits in general that apply to pretty much all businesses. Companies may utilize Big Data to also achieve other great business results and we put some of them in the below infographic, so let’s check it out:
Indeed, there’s a lot that Big data can do for a business. But then again, has everyone already started using it then? Well, the answer is no. That’s because there are certain challenges to be considered when talking about actual company use cases and implementation of a Big data strategy in a given business.
We will talk about that in one of our next posts so stay tuned.
The European manufacturing industry needs revolutionary methodologies and tools to optimize operations, improve efficiency as well as product quality at a reduced production and distribution cost. Nowadays, many manufacturers collect massive amounts of data from different sources (e.g. machines, production lines, sensors, etc.) and they need to centralize storage of data across complex global and often fragmented supply chains. That’s where Big Data analytics and Apache Hadoop come in to cover these needs.
Apache Hadoop is an open-source distributed processing framework that manages data processing and storage for big data applications in scalable clusters of servers. Hadoop is designed to scale up from single servers to thousands of machines, each offering local computation and storage. The framework itself is designed to detect and handle failures at the application layer rather than relying on hardware to deliver high availability. Hadoop aims to address the limitations of conventional Relational Database Management Systems in terms of storing large datasets, handling data of different formats and processing data at high speed.
But like any framework, Hadoop has both some advantages and disadvantages, and here’s a quick comparison of that:
Quick processing of huge volume of data
Issue with small files
Supports a variety of data sources including structured and unstructured data
Vulnerable by nature
Scalability and High throughput
Supports only batch processing
In fact, Hadoop is a collection of multiple tools and frameworks for big data management, storage, processing and analysis. There a 3 major components of the Hadoop ecosystem:
Hadoop Distributed File System (HDFS). This is the storage unit of Hadoop. HDFS splits the data unit into smaller units that are called blocks and stores them in a distributed manner.
Hadoop MapReduce. This is the processing unit of Hadoop allowing you to write applications for processing big data. MapReduce runs these applications in parallel on a cluster of low-end machines. It does so in a reliable and fault-tolerant manner.
Hadoop Yet Another Resource Negotiator (YARN). This is the resource management unit of Hadoop. It allocates to applications RAM, and other resources depending on their requirements. The basic principle behind YARN is to separate resource management and job scheduling/monitoring function into separate daemons.
Are you interested in taking a course on Apache Hadoop for Big Data Analytics on Advanced Manufacturing? Follow our news section and also us on our social media to make sure you don’t miss the big news: we are currently developing the training courses of the DTAM project and we plan to finalize them at the beginning of 2022.
What do you hate most about the COVID-19 pandemic? If you said something similar to not being able to travel, then we totally agree with you. Recently, we reaffirmed the importance of having to meet people face-to-face and to interact with each other. And what better place to do this if not visiting our partners from the Da Vinci College in the Netherlands?
From October 6th, 2021 to October 8th, 2021 the DTAM team enjoyed wonderful Dutch hospitality in the pleasant city of Dordrecht. Yeah, we actually met, for the first time in 13 months of working on this project and it was a big deal, which deserved its own article.
There’s actually so much to tell, that we don’t even know where to start, but we’ll try anyway.
The Da Vinci College is a medium-sized regional VET College (they’ve got just some ~12,000 students) offering a great variety of secondary vocational courses in various branches including (in)-company training and education for adults. Da Vinci also offers general secondary education for adults and integration courses. Their privately founded University of Applied Science HBO Drechtsteden has Bachelor and Post-Bachelor’s training and Associate Degree programs in the fields of technology, business management, entrepreneurship, healthcare, and ICT.
Our hosts Mr. Jan-Willem Huisman and Mr. Michael Beljaars (a couple of good-looking fellas, who teach at the IT & Media Department) were kind enough to organize a wholesome touring experience, where we got to see their working-teaching environments, laboratories and meet some of the friendly staff working at the college. Part of that tour included meeting the Dean of the IT & Media department – Mr. Martijn van Cooten, who himself accompanied us for most of our stay at the college. He even shared his vision on transforming education and putting the focus on students’ needs and we can’t wait to share all that with you, but that deserves its own article too. So, we saw quite some interesting stuff during our tour, to say the least. Here are some of them.
The Azzurro building
Fun fact: educational departments at the Da Vinci College are gathered in distinctive buildings, which bear the name and have the looks of a particular color, spelled in Italian e.g. behold the The Azzurro building (Azzurro is the Italian word for the color blue): home to the IT, Tourism & Recreation & Sport courses and the VAVO courses.
At the Da Vinci College, you will also find that they’ve got something called “Duurzaam heids fabriek” i.e. the Sustainability factory: a separate space dedicated to stimulating innovation, providing a hybrid learning environment for students, strengthening VET, and shaping technology promotion. And believe us when we say they’ve got some interesting stuff in there. The idea behind the Sustainability factory is pretty simple: students get the chance to learn by working on real practical assignments from companies. They call this hybrid education. Here’s how part of it looks like from the inside (hover over the images to find out more):
The “Huis van de energietransitie”
Yep, this is exactly what it looks like: a house. It’s called “Huis van de energietransitie” i.e. The energy transition house. And yes, they’ve actually built this to facilitate many of the VET training courses Da Vinci College offers in order to provide a teaching-learning experience as close to the real environment as possible.
Huis van de energietransitie
Front look of the “Huis van de energietransitie” i.e. The energy transition house.
A more realistic learning experience
If this photo reminds you of a factory type of pipe engineering, well that because it actually is. The Sustainability Factory has an energy-efficient mechanical installation. The building itself is a another learning object. For example, the heat and cold storage installation in the Sustainability Factory has been used as a learning workspace and the air handling unit is equipped with glass so that the students can see how it works.
As already mentioned, it took us a whole year before we could actually get together and officially meet each other. In fact, that would have been really odd if it wasn’t for the pandemic and all the limitations it brought. Having said that, we actually had already made quite some progress and this was just the right time to come face to face and talk about how we can push the project forward.
Following the Da Vinci College tour and meeting, we moved over to a “Joint vision on education” activity which helped us align our expectations about the DTAM project overall and actually helped us identify some key discussion topics to address during the rest of the meeting in general.
So, throughout the course of two days, we discussed important issues such as the characteristics of the DTAM IoT Hub and other matters like how we can improve our training course to better suit our stakeholders and last but not least – how we can actually put together a training course which can facilitate an effective learning experience. No pressure there.
We are pleased to inform you, however, that we’ve managed to paint a really good draft of the next steps we are going to have to take and also made some valuable improvements on what we’ve already created so far. Here’s part of out task list, which we wil be focusing on in the coming months:
Improve the already developed training modules on Big Data & Machine Learning, Cyber security, Transversal skills, IoT and Advanced sensorica;
Create and embed working assignments that will facilitate the actual learning process of the training, including using the DTAM IoT Hub.
Enable the international aspect of the training course by involving multiple stakeholder groups from the partnering countries.
Provide options for learning interactiveness by setting up a dedicated e-training platform
Set-up a first draft of the DTAM IoT Hub and test its capabilities. (Want an easter egg? I think we are fans of the Raspberry Pi).
So, quite a lot of work remains ahead, but rest asured that we are now even more dedicated and excited to built a quality DTAM experiences for the students and all others which will be taking advantage of this ambitious project of ours.
We need your support too, so please feel free to contact us if you would like to collaborate, contribute or simply share your experience with us. You may also help simply by spreading the word about the DTAM project via hashtag #dtamproject or following us on social media.
As always, stay tuned, because we’ve got some more stories of inspiration for you coming up.
Finally, we would like to thank our partners from ROC Da Vinci College for their wonderful hospitality and all the great experiences they gave us: Jan-Willem Huisman, Michael Beljaars, Martijn van Cooten, Frits Silano, Sietske van Voorthuijsen, Tamara Gideonse and Timon Jongkind.
In nature, flexibility and adaptability are essential to survive. Flora and fauna around the world are full of examples of these life skills. Quick fact about reed: the stem of this plant is made of fiber, strong enough to resist the roughest meteorological conditions. Even when it is swept by a strong wind, the reed bends but never breaks. In the same manner, many animals naturally develop undercoats in the winter to go through the lowest temperatures.
Just like in the wilderness, flexibility and adaptability allow us to keep growing in our social and jobenvironments.
And yet, unlike animals and plants, humans living in society usually need to learn and practice these skills. This is the reason why the DTAM Training Material on Transversal skills emphasizes the importance of becoming more flexible and better at adapting to multiple changes. Thanks to our training material, workers, educators, and VET instructors will have a tool to acquire more knowledge about these skills that everyone naturally possesses but that are not so obvious to apply, especially in the work environment.
Why is being flexible and able to adapt so essential, especially in the 21st century? In its Manifesto for Adult Learning in the 21st Century: The Power and Joy of Learning, the European Association for the Education of Adults (EAEA) outlines “digitalisation, internationalisation, service orientation, [and] flexibilisation” as the biggest mega-trends of today’s labor market. The EAEA adds, “these trends increase in parallel the pace at which employees have to adapt to the constant change and to gain new competencies”. As companies must become more flexible and adapt to constant change, so must their employees.
The pandemic, climate change, economic gaps, or the fast-paced development of cutting-edge technologies are the central global challenges faced by our society. Flexibility is about looking at these challenges as new opportunities, rather than obstacles. Adaptability is about finding new solutions to build the world of tomorrow. Both these skills are not only essential to face adversity, but also to show resilience i.e. the ability to recover after an obstacle and to move forward.
Whether it is about the learners’ daily lives—having to work without less human contacts—or companies’ social impact—building a more sustainable world—flexibility and adaptability are needed individual and social skills to be (re)learned. Therefore, the DTAM team is thrilled to share knowledge with its target groups about these two transversal skills, among many others.
Stay in touch on the DTAM social media pages and our website to be informed about all the rest of the hard and soft skills to be included in our Training Material.
The use of collaborative robotics is growing and will continue to grow. Future electronics and robotics graduates will have to work alongside big data and artificial intelligence experts to program, monitor, and analyze data coming in and out of cobots and their integrated computer vision (AV) systems. While we’ve been telling you about DTAM project for the past year now, there was another project steadily making progress towards addressing these challenges: the INCOBOTICS – Ready for Industry 5.0. The project was run by three of our existing partners i.e. Politeknika Ikastegia Txorierri (Spain), Apro Formazione (Italy), IDEC (Greece), and another partner from France – CFAI Adamic. With project INCOBOTICS, co-funded by the Erasmus+ program of the EU, the four partners chose to invest in the future of education and lay the groundwork for this to happen via the following results:
EQF level 5+ educationalists (HE and high level VET);
Industrial and technical students (future workers in Industry);
Industrial workers who require upskilling in programming for CO-BOTS via courses for the employed or unemployed workers.
The Module comprises of three ready to use, tested and validated units of learning in collaborative robotics as follows:
Introduction to Collaborative Robotics in Industry: Industry 5.0
Artificial Vision Systems
After attending the INCOBOTICS Module, students will be able to understand Industry 5.0, comprehend the COBOTS major brands available on the market, understand the main functionalities of a COBOT, programme a COBOT, understand the capacities and range of Artificial Vision and learn how to programme Artificial Vision.
2. A Best Practices Guide for Teachers and Trainers, which offers pedagogical support and frames the INCOBOTICS Module in the Challenge Based Learning (CBL) Methodology. The Guide includes:
Guidelines for implementing the innovative Challenge Based Learning – CBL- methodology upon the INCOBOTICS Module and Units of Learning;
ECT accreditation guide for the INCOBOTICS units/module. Principles can be extracted to support accreditation of other units/modules, which teachers design in the course of their work;
Four programming challenges created transnationally using different COBOTs.
The Guide is available in four languages: English, Spanish, Italian, French.
On Thursday 30 September 2021, the project ended and the developed materials were finally made available for free on the official project training platform here.