SCG Chemicals achieves 99% plant reliability
Regional petrochemical company deploys AI-driven ‘digital reliability platform’ spanning engineering, operations, and maintenance to achieve 99% plant reliability and 9X ROI in 6 months.
Industrial digital twin
Digital twins are synchronized replicas of physical assets, processes, or systems. By simulating the behavior and performance of their physical counterparts, they let engineers and operators evaluate multiple scenarios quickly, without the risk of experimenting on production systems, to drive new efficiencies and make more informed decisions.
Learn more in AVEVA's guide to understanding digital twins
AVEVA’s broad portfolio of industrial data and application software, along with the CONNECT industrial intelligence platform, let you connect all your data, models, analytics, and visualization solutions to form a comprehensive, intelligent twin of your industrial environment.
This integrated approach spans ET, OT, and IT to support any new use case, reuse proven templates, and reduce IT costs. Accelerate your time-to-value and optimize outcomes.
AVEVA digital twin also incorporates:
- Standards for efficiently combining unstructured information and diverse, real-time data streams.
- Analytic models based on first principles or created using AI.
- Data visualization which can be customized for different roles and use cases.
Benefits of industrial digital twins
Connect data and models for maximum insight
Eliminate redundancy using AVEVA’s common intelligence platform to reuse data, models, and visualizations.
Reliable results
AVEVA’s proven industrial data solutions provide reliable, high-fidelity data to deliver accurate and valuable insight.
Faster time-to-value
AVEVA easily integrates digital twin data, models, and analytics to deliver results faster and enable automation.
ET, OT, and IT convergence
A unified visualization experience and hybrid architecture give users anywhere-access to the same data, models, and insights.
Deeper industrial insight
Decades of experience in vertical segments and industrial use cases inform AVEVA’s pre-built integrations and templates.
Embedded data standards
AVEVA data standards effectively combine data from multiple systems, eliminating the need to develop your own data architectures and ontologies.
Reusable and scalable
A common intelligence platform makes it easy to share and reuse digital twin components and scale as needed.
Digital twin use cases
- Use case 1
- Use case 2
- Use case 3
- Use case 4
- Use case 5
- Use case 6
Reduce project risk and cost
Asset owner-operators and EPCs view the same 3D model to collaborate easily and stay on schedule and on budget.
Increase operational efficiency
Built-in analytics let operators discover ways to increase efficiency, lower operating costs, and make processes safer.
Learn more about AVEVA™ PI System™
Optimize production and product safety
Adaptive real-time simulations let engineers evaluate the impact of process improvements, upgrades and maintenance.
Enable remote monitoring
Monitoring personnel use digital models to visualize the condition of remote physical assets, run advanced analytics and assess configuration changes.
Learn more about AVEVA™ Edge Data Store
Increase asset reliability
Digital models predict asset behavior and performance, to support condition-based maintenance, reduce costs and minimize downtime.
Increase supply chain agility
Simulations provide end-to-end visibility for forecasting and planning, to ensure delivery, prevent shortages, and accelerate revenue recognition.
Experts in Digital Twin
IDC Vendor Profile
AVEVA's Industrial Intelligence Powers Engineering, Operations, and Optimization Solutions and Services
“Digital twin. AVEVA's solutions provide the necessary data, models and analytics, and visualization to build digital twin solutions that span the entire asset life cycle. They connect data from every layer of the technology stack for one contextualized, multi-visual experience from capital project to operations.”
IDC March 2024, IDC #US51865524
Analytic Partners
AVEVA’s open and vendor-neutral architecture lets you build a digital twin that integrates analytics from providers that address the unique challenges of your industry. Check out offerings from:
- Braincube, the leading solution for maximizing production efficiency and ensuring process health
- Simio, provider of discrete event simulation technology for enabling fully autonomous, lights-out operations on the factory floor
- Helios, provider of Apollo™ Advanced Analytics for optimizing renewable energy asset management
The CTO Club: Guide to the best digital twin software of 2025
AVEVA: Best for industrial asset management
“AVEVA’s features are engineered to enhance decision-making at every stage of the product development journey. From early-stage prototypes to the final production process, the platform offers tools that integrate with various industrial data sources, ERP systems, and production management tools.”
FAQs
Many vertical industries and various teams use digital twins.
- Design and construction engineers use them to collaborate on the development of large, capital assets.
- Process engineers use them to explore process improvements.
- Operations teams use them to train new employees and operations analysts use them to find options for maximizing efficiency and sustainability.
- Asset reliability and maintenance teams use them to implement predictive maintenance and reduce downtime.
- Supply chain managers use them for forecasting, optimizing warehouse design, and improving their logistics network.
Users conduct simulations, ask what-if questions, analyze performance, and discover potential enhancements that improve the physical entity.
AVEVA digital twins use:
- Historical and real-time data representing different aspects affecting the physical entity such as flow rate, energy consumption, temperature, weather conditions, and more.
- Models that describe the complex interactions that determine performance of the physical entity. These models can be defined using first principles or created by applying AI to a large volume of historical data.
- Analytics that provide insight into trends, assess causality, and make predictions about future performance.
- Visualization solutions that provide users with no-code tools for building role- and use case-specific data visualizations to aid understanding and accelerate decision-making.
The data used by digital twins includes:
- Descriptive information about assets or processes, including design specifications, product information, production processes, real-time feedback, and maintenance records.
- Historical data from industrial monitoring and control systems, process equipment, utility systems, and other sources.
- Real-time data streaming data from sensors and other systems.
Learn about AVEVA Information Management and AVEVA PI System
AVEVA does not offer a single digital twin solution or package, because the right set of software components depends on what you already have in your environment and the specific use case you want to explore. AVEVA lets you use the solutions you already rely on in your business to drive digital twin explorations.
AVEVA does recommend and provide a single, common industrial intelligence platform, CONNECT, as the foundation for your digital twin use cases. CONNECT ensures you can easily integrate all of the information, real-time data, models, analytics, and visualization solutions required and that you can reuse and leverage components built by other teams to accelerate time-to-value and optimize results.
Events and Webinars
- Presentation
Unlocking your industrial digital twin
- Presentation
Standing up a digital twin for CBM with AVEVA PI System
- Webinar
Mar 12, 2025
