ARTIFICIAL INTELLIGENCE 16 PETplanet Insider Vol. 26 No. 05/25 www.petpla.net ARTIFICIAL INTELLIGENCE 16 How digitalisation and AI advance the plastics sector based on an article by Dr Cornelia Jokisch, K’ show PR The plastics industry faces major economic and regulatory disruptions worldwide. Rising competitive pressure, stricter environmental regulations and higher demands made on circularity increase the pressure to innovate. On-going digitalisation offers new opportunities for producing more efficiently and sustainably. Automated processes, data-based control systems and smart connectivity already ease adaptation to stricter requirements in many companies today. Artificial Intelligence (AI) is considered a key milestone in this. According to a Bitkom study, 78% of the industrial companies polled view AI as decisive for their competitiveness while more than half are waiting to see how others get on first. At the same time, 48% lack the necessary AI skills and 91% demand fewer regulatory obstacles so as not to hamper AI innovations. These figures underline that there is a broad consensus on the relevance of digitalisation but many firms are hesitant to implement it in practice. Digital key technologies: connectivity and IoT The digital control and connectivity of machines forms the basis for new technologies. Cyber-physical systems (CPS) and the Internet of Things (IoT) make it possible to capture and evaluate production data seamlessly in real time. Sensors monitor temperature, flow rate or inmould pressures, for example, and transmit the values to Cloud applications. An important communication standard for this is OPC UA, which makes for safe and cross-manufacturer data exchange. Rising data volumes lead to questions of data use. In the European Union, the so-called “EU Data Act” is one example of how this issue is being addressed. This new Data Act obliges machinery manufacturers to provide machine users with the data generated during operation in a simple and understandable, machine-readable way. At the same time, predictive maintenance moves into focus because real-time analyses can detect deviations early on and reduce unplanned downtimes. Artificial Intelligence and automation AI adds new dynamism to digital processes as self-learning algorithms analyse large data volumes and optimise processes flexibly. In addition, machine learning accelerates development cycles and improves [email protected] USA Toll Free +1 888 459 2412 l Canada +1 905 879 1100 Europe +44 1827 338 280 l Asia +65 6848 7117 l Taiwan +886 4 2658 1535 Maguire delivers real data, real savings, real results. See how ULTRA Dryers can: Slash energy consumption Boost production Reduce maintenance Shrink your carbon footprint ASK ABOUT OUR FREE TRIAL! 30 SECONDS OF YOUR TIME = Ɣ <56 ƕ PROVE IT GO TO ULTRA.MAGUIRE.COM AI
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