The need for a gradual transition from a linear economy to the circular economy involves a paradigm shift in the definition of products and manufacturing processes that must be managed and monitored throughout their life cycle. The circular economy responds to the dual need to reduce the environmental impact of economic activities and to achieve savings by avoiding waste and reducing the costs of supplying raw materials.

algoWatt’s knowledge in system integration allows to interconnect all the systems dedicated to production and to create data collection and analysis environments to increase business performance.

algoWatt proposes itself as a partner to design Industry 4.0 solutions and to assure the Customer the competence in the use of enabling technologies:

• the Internet of Things: the network of physical objects that have the technology necessary to detect and transmit information about their state or the external environment. The IoT is composed of an ecosystem that includes the objects, equipment and sensors needed to guarantee communications, applications and systems for data analysis.
• cloud computing: allows the interoperability of solutions and can give impetus to new digital processes and new ways of interacting between companies, citizens and PA. The main drivers for the adoption of the cloud in Industry 4.0 are the explosion of IoT and the data collected by sensors and other objects, the consequent growth of big data;
• big data and data analytics: huge amounts of data, structured and unstructured, collected and analyzed with tools that turn them into information that can make decision-making processes faster, more flexible and more efficient. The detection, analysis and exploitation of these data by companies will increasingly be the basis of decision-making processes and business strategies. The growing amount of heterogeneous data generated by the web, mobile devices, apps and related objects opens up new opportunities for companies able to correlate and interpret unstructured data.
• augmented reality: allows the use of digital technology to add data and information to the vision of reality and facilitate, for example, the selection of products and spare parts, repair activities and in general any decision regarding the production process;
• wearable technologies: wearable technologies represent an example of IoT since they are part of physical objects integrated with electronics, software, sensors and connectivity to allow objects to exchange data. New generations of wearable devices, such as smart watches and bracelets, pedometers, key holders with sensors can provide a valid support to monitor and intervene on the parameters of comfort, health and safety in the various places of activity.