在全球范围内，各领先组织正在接纳并实施先进的数字化技术。数字化转型之旅将改变资产密集型行业（尤其是能源和化工企业）的性质。在这种情况下，数字孪生（实物资产及其操作行为的虚拟副本）将发挥关键作用。对于今天我们创建的数字孪生，一个关键概念是人工智能在提供虚拟数据相关见解和建议方面的作用。

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Real-time condition-based monitoring of assets is an attractive solution for mining companies to minimize their unscheduled downtime and improve reliability of critical equipment. The success of an asset monitoring program depends on how well this data is analyzed, filtered and categorized to enable accurate predictions of impending failures. Focusing on the behavior of an asset only tells a small portion of the story. To fully predict failures, the trends of the entire process must be considered as a whole.

In today’s volatile environment, refiners must shift operations to adapt to ever-changing product demands – and do it with an increasingly remote workforce. Plant digital twin technology provides operational insights so engineers can predict potential disruptions from anywhere.

CDU(Crude Distillation Units)는 정유사에서 수익성을 추구하는 가장 중요한 공정입니다. 현재의 VUCA, 즉 변동성이 크고(Volatile), 불확실하며(Uncertain), 복잡하고(Complex), 모호한(Ambiguous) 비즈니스 환경에서 정유사들이 디지털 트윈 기술을 활용하여 현재의 불확실성을 보다 효과적으로 타개하여 민첩하고 신속하게 대응할 수 있도록 돕는 두 가지 기술 영역에 대하여 알아보겠습니다.

En el panorama volátil actual, los refinadores deben cambiar sus operaciones para adaptarse a las demandas de los productos que están en constante cambio, y hacerlo con una fuerza laboral que trabaja remotamente. La tecnología de digital twin ofrece información clave para que los ingenieros puedan predecir posibles disrupciones del proceso desde cualquier lugar.

As mines face myriad challenges due to COVID-19, risk and scenario analysis are more important than ever.

Find out how Industrial AI solutions are enabling companies to achieve their sustainability goals while also generating a strong return on capital invested.

Digitalization is an imperative in today’s volatile environment where a new generation of younger, inexperienced operators bring increased risk. The process industries, in particular, need new ways to help operators navigate the growing complexity that comes with the job. Innovations in process modeling, 3D visualization and digital twin deployment enable operators to practice their skills digitally in identifying and responding to potential issues, mitigating risk and optimizing performance.

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