• AssetWise Digital Twin Services

    Quickly deliver a living digital twin

Digital Twin Services for Asset and Network Performance

Owner-operators and their supply chains need to manage data and information from multiple sources and formats and display it a way that is easy to visualize, analyze, and understand, so you can make fast and informed decisions. AssetWise Digital Twin Services provides immersive visibility and analytics for timely decision support utilizing a digital twin approach. It enables digital context, digital components, and digital chronology to provide enhanced performance of infrastructure assets.

Gain Insights through Situational Intelligence

AssetWise Digital Twin Services combines reality modeling with your engineering specifications and data, asset tags, historical information, and current performance data. This combination of assets creates an immersive 3D and 4D experience to gain a deeper understanding of your infrastructure assets.

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    • AssetWise Operational Analytics
    • Conduct advanced predictive analytics with data science and machine learning
    • Manage Chemicals and Corrosion
    • Visualize performance with interactive dashboards
Cloud Services:
  • iTwin Immersive Asset Service

    • iTwin Immersive Asset Service provides immersive visualization and analytics visibility. The rich, interactive 4D digital twin context improves decision-making that sustains and enhances infrastructure asset performance. Its cloud and web services enable owner-operators to make infrastructure engineering information accessible and comprehensible to a wider population.
  • AssetWise 4D Analytics

    • AssetWise 4D Analytics uses advanced analytics and machine learning to provide insights into current conditions and trends, which helps you predict future performance. Data sources can include any information accessible to AssetWise, including inspections, work history, and extremely large data sets such as those from IoT devices. Extensive graphing and dashboarding capabilities allow results to be understood in the context of a digital twin.
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