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An operational
story
Digital twin success starts with safety excellence.
By Andy Rainforth
Digital twins are climbing the agenda fast. Almost a third of global manufacturers have already rolled out strategies to build theirs. But while the buzz is centered on smart algorithms and seamless virtual modelling, there is one piece that does not get nearly enough attention. The value of any simulation hinges on what goes into it – and that starts with real-world safety data. Without accurate, continuous risk insights from the ground, a digital twin becomes a digital fiction. The truth is simple: if your factory floor is not generating the right data, no simulation will tell you anything useful.
Data integrity begins with risk reduction
Digital twins offer manufacturers the ability to simulate countless variables and outcomes, from machine failure to workflow optimization, by mirroring real-time conditions through continuous data input. But these models can only perform as well as the data they consume. Gaps in safety monitoring or failures in hazard detection distort simulations that are meant to provide clarity. Without accurate risk data, digital twins lose their purpose – which is why having an advanced safety infrastructure is indispensable for creating reliable, decision-ready virtual models.
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