#Indutech describes the industrial Technologies in the following sectors :

Industry 4.0

Industry 4.0

Internet of things (IIoT), Cyber-physical systems, Vertical and horizontal process integration, Big Data, Fog & Edge  computing, Virtual reality, Sensors & Monitoring



Renewable energies, Decentralized power generation, Energy recovery technologies, Energy storage concepts, Energy contracting models



Upcycling of industrial by-products, Waste water treatment, Off-gas treatment, Zinc recuperation processes, CO2 valorisation, De-NOx, De-SOx

Robotics & Artificial Intelligence

Industrial robotics, Artificial intelligence, Machine Learning, Automation of maintenance, High risk interventions on industrial processes, Visual recognition technologies, Drone technology,. 

Advanced  manufacturing

Additive manufacturing, Rapid prototyping, Metal powders for 3D printing, Nano-coatings, New design approaches, Material properties


Smart safety

Electronic tracking technologies, Exoskeleton, Crowd monitoring and management, Real-time information, Decentral communication, Smart industrial plants, Interactive safety trainings

Smart engineering applications & processes

3D scanning technology, Visual capturing technology, Reverse engineering methods, Concurrent engineering, Big Data management,Predictive Maintenance

Advanced logistics & sustainable mobility

Logistics automation, Electronic tagging, Industrial workflow optimization, Sharing models, Circular economy

Smart construction & healthy buildings

Minimum CO2 emissions, Energy management systems, Energy performance, Smart City concepts, Building Information Modelling (BIM), Smart control systems


Mining & resources management

Scarcity of resources, Valorisation of abundant raw materials, Optimization of mining techniques, Recycling of waste materials, New industrial processes, Space mining


Industry 4.0, the so-called “Internet of Things and Services”, has started to revolutionize a wide range of traditional mature industrial production processes, mainly by directly connecting all machines (considered as modular sub-units) of a production line as a collaborative community, through high performance communication networks. Thereby the technical intelligence is more and more shifted from top (control system of the production line) to bottom (machine-to-machine communication).

In a broader sense and not limited anymore to production processes, the Industry 4.0 era calls for new technology and engineering solutions.


  • Industrial Internet of things (IIoT)
  • Cyber-physical systems
  • Vertical and horizontal process integration
  • Big Data
  • Cloud computing
  • Virtual reality

Stringent environmental regulations and a decreasing quality of resources put the industry under pressure to find new methods for handling by-products and improving environmental compliance.

According to the full-process-cycle approach requested by CE regulation, improving the global environmental compliance of established industrial processes also requires to develop suitable applications for any additional residues generated by these new treatment processes

New technologies for treatment, recycling, and valorisation are therefore necessary for handling the various gaseous, liquid, and solid residues of the metal industry.


  • Upcycling of industrial by-products
  • Waste water treatment
  • Off-gas treatment
  • Material recuperation processes (e.g. Zinc)
  • CO2 valorisation
  • De-NOx, De-SOx

The transition from fossil fuels to renewable resources has triggered new challenges and opportunities for grid operators, power producers, industries, and customers.

The energy production trend goes from centralized large-scale power generators to standardized small decentralized power and heat generation. In parallel, the overall energy requirements are dropping due to energy efficiency, energy storing, energy management, and energy recovery technologies. To support all these trends of the energy landscape of the future, innovative technologies and business models for producing and managing energy are required and rapidly emerging.

For creating efficient “smart grids”, local “mini-grids” of energy producers, consumers, and prosumers need to leverage new IoT and Industry 4.0 technologies. New business models and start-ups (build-own-operate-transfer, energy efficiency contracting …) will be catalysing elements in accelerating this development.

Key words:

  • Renewable energies
  • Decentralized power generation
  • Energy recovery technologies
  • Energy storage concepts
  • Energy contracting models

Smart construction & healthy buildings

In order to reduce global CO2 emissions, new and existing buildings need to improve their energy management and adapt to their local environment. As central part of the “Smart City”, building operators need to monitor and control energy & air quality systems, while assuring optimal conditions for the people living and working there.

Digitalisation of the building process and new construction technologies & services (e.g. BIM: Building Information Modelling) will reduce the total carbon footprint of new construction projects. Energy management systems will help both new and existing buildings in identifying key energy saving opportunities. Restoration technologies & digitally connecting the existing building stock will be essential to reducing the overall energy consumption and carbon footprint of buildings.

Interconnected digitalized buildings will be a key element for creating “smart grids”, “smart cities”, and addressing the energy and transportation challenges that lie ahead.

Key words:

  • Minimum CO2 emissions
  • Energy management systems
  • Energy performance
  • Smart City concepts
  • Building Information Modelling (BIM)
  • Smart control systems

Digitization of transport & logistics are enabling goods and individuals to reach their destination with higher speed, flexibility and reliability than ever before. In industry, integration between transportation and production activities is key to reduce inventories and shorten time to market.

Real time computation software for predicting complex traffic flows (e.g. on airports or railway stations) on the basis of continuously recorded data (chip tracking, video-recording,…), global ICT networks and artificial intelligence are changing the way we observe and interpret mobility and logistics data.

Man-less transportation systems, shared vehicle systems, specific-purpose vehicle designs, advanced propulsion systems, and smart infrastructure will revolutionize on how we move people and goods in the near future.

On a smaller scale, new indoor logistics solutions (for warehouses & production facility) will have a major impact on productivity and industrial processes.


  • Logistics automation
  • Electronic tagging
  • Industrial workflow optimization
  • Sharing models
  • Circular economy


Monitoring workers and providing them with right information (and communication tools) for each work task, can significantly increase the safety situation in an industrial working environment.

Maintenance workers can be instructed in the safety procedures and on how to perform specific tasks “on the go” using augmented/virtual reality. Other high risks tasks will be automated or semi-automated using human-robot interactions, which will radically transform some industrial jobs and make them safer and more efficient.

As an example, tracking technologies will help site safety managers to rapidly locate lone workers during evacuations or in case of an acute health emergency.

Key words:

  • Tracking technologies
  • Exoskeleton
  • Crowd monitoring and management
  • Real-time information
  • Decentral communication
  • Smart industrial plants
  • Immersive safety tools & concepts

3D printing has started to revolutionise manufacturing by enabling products with unique design & properties, and covers a waste range of materials and applications from metal to concrete to living cells. It has the potential to bring production back to the customer and thereby disrupting the globalised logistics systems in place.

Nanotechnology and new material developments also contribute to manufacturing more efficiently, using less material, using input materials more sustainably, and making products more performant and enduring.

As an engineering company, Paul Wurth is dedicated to adopt all the latest know-how and tools to develop the best solutions and products for its clients.


  • Additive manufacturing
  • Rapid prototyping
  • Metal powders for 3D printing
  • Nano-coatings
  • New design approaches
  • Material properties


A significant evolution in IT tools and manufacturing techniques (3D printing), combined with ever shorter project execution times and more complex design requirements, made engineers require new tools (e.g. Automatic 3D scanning and modelling technologies) to respond to these new needs efficiently.

For Paul Wurth, reverse engineering has started to emerge, especially when it comes to upgrade of existing plants or equipment, and modern 3D scanning tools are used to establish records of existing plant units faster. Some plant areas, however, remain difficult to access (e.g. due to safety during plant operation).

Finally, new technologies such as 3D printing are emerging that need drastically new ways of engineering skills and computing solutions.

Key words:

  • 3D scanning technology
  • Visual capturing technology
  • Idustrial wearables
  • Reverse engineering methods
  • Concurrent engineering
  • Big Data management

Robotics has a great potential to assist human in their work and daily life, and co-exist with them harmoniously. Artificial intelligence, Machine-learning, and increasing computational power enable more and more complex tasks to be performed by robotics systems.

In the primary iron and steel industry, for example, where workers can be exposed to high temperatures & pressures, toxic gases, and high dust load, smart industrial robots will assist them to complete tasks faster, more accurately, and at a lower risk for machines and themselves.

Rather than many repetitive tasks, the liquid iron production process consists in controlling a complicated high-energy smelting process, where some operations involve high-risk human tasks where safety precautions are critical. For these critical tasks, intelligent robotics systems will replace human workers, who can instruct them from a safe distance (e.g.: Manually removing liquid molten metal or slag, Interventions in high risk areas: CO gas, high dust load, steam explosions, high temperature, high pressures …).

Key words:

  • Industrial robotics
  • Artificial intelligence
  • Machine Learning
  • Drone Technology
  • Automation of maintenance
  • High risk interventions on industrial processes
  • Visual recognition technologies

Global scarcity of resources and local desire of resource-independence has led to innovative technologies that enable access to previously untapped reserves. These technologies will allow us to retrieve raw materials in space or under the sea, or enable the valorisation of unexploited (but abundant) materials through transformation (e.g. desert sand).

A new mind-set has also been emerging to work towards a “circular economy”, where sustainability and ecological criteria become important in all aspect of the value. These new technologies, processes, and business models, will generate economically viable solutions for optimizing recycling potentials and find new utilizations for formerly “waste materials”.

Key words:

  • Scarcity of resources
  • Valorisation of abundant raw materials
  • Optimization of mining techniques
  • Recycling of waste materials
  • New industrial processes
  • Space mining