Internet of Things
integration creates data silos, where valuable informa- tion is trapped within specific systems, inaccessible to the broader network that could benefit from it. Harmonising the collection and storage of shop floor data, whether from new or legacy equipment, is a crucial step towards overcoming this hurdle. Without overhauling these legacy systems, inde- pendent software is the only solution. COPA-DATA’s industrial software platform, zenon is engineered to bridge the gap between old and new technologies. Taking a hardware agnostic approach, the technology allows manufacturers to connect and combine datasets from a huge variety of assets, making legacy equipment smarter.
THE FOUNDATION OF AI IN MANUFACTURING
While the digitalisation of factory processes requires harmonised data, AI needs more. For AI to truly
Instrumentation Monthly November 2024
enhance manufacturing processes, it requires access to very high-quality and reliable data sets. This data is the lifeblood that fuels machine learning models, enabling them to learn, adapt, and predict outcomes with remarkable accuracy. In other words, the data must be precise and dependable.
AI’s potential in factories is vast. It can optimize production efficiency by identifying bottlenecks, predicting maintenance needs and adjusting work- flows in real-time. AI can also significantly reduce resource consumption by fine-tuning processes to minimize waste and energy use. Additionally, it can enhance product quality by detecting defects early in the production cycle, ensuring that only top-notch products reach the market. However, without a solid foundation of relevant data, these advanced capabili- ties remain theoretical and unattainable. Ensuring that data from all sources — both new and legacy — is accurately collected, stored, and accessible
is vital for leveraging AI in meaningful ways. Moreover, it is crucial for achieving the level of human-machine collaboration described by Industry 5.0.
THE ROAD TO INDUSTRY 5.0 While the allure of Industry 5.0 is strong, it is crucial to acknowledge and address the current gaps in digitalisation in the manufacturing sector. By focusing on implementing technologies to improve how we collect, manage and analyse data, industrial busi- nesses can lay the groundwork necessary for more advanced technological collaboration. This foundational work is essential for moving beyond the promises of Industry 4.0 and towards the more sophisticated, human-centric vision of Industry 5.0.
COPA-DATA
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