Every real-world operating plant is characterized by cumulative evolution, both to its brownfield physical condition and to the varied types and formats of theoretically corresponding engineering data. Accordingly, as-operated digital twins must reliably synchronize reflections of both the physical reality and its virtual engineering representations, comprehensively and accurately. Moreover, further frequent changes are inevitable.

With PlantSight, every process plant owner-operator can realize the benefits of as-operated digital twins — without disruption to their existing physical or virtual environment. PlantSight is a “system of systems”, which coalesces project digital twins, and control systems digital twins, and will soon extend to performance digital twins, and component product digital twins

Resulting from joint development of Siemens and Bentley Systems, based on their highly complementary software portfolios, PlantSight is a digital solution to benefit customers through more efficient plant operations. It enables as-operated and up-to-date digital twins which synchronize with both physical reality and engineering data, creating a holistic digital context for consistently understood digital components across disparate data sources, for any operating plant. Plant operators benefit from high trustworthiness and quality of information for continuous operational readiness and more reliability.

It mirrors the physical plant through continuous surveys and reality modeling cloud services. Overlapping photographs and (as needed) supplemental laser scans, from UAVs and ground-level imagery, are processed to generate spatially-classified and engineering-ready reality meshes — the plant’s digital context, within which can be geospatially located each tagged component.

To synchronize with the plant’s evolving engineering data, Bentley and Siemens Comos teams worked together to create PlantSight’s Connected Data Environment (CDE). It includes information bridges from engineering models and an integration hub to accomplish the required semantic alignment for digital components (including their tag designations). PlantSight’s CDE is also populated by pertinent data from other sources, such as project deliverables and control systems inputs, to the degree referenced through digital component tags. 

PlantSight in Process Industries

For process industries, characterized by ongoing capital projects, the effectiveness of digital twins depends upon the integrity and accessibility of as-operated information presented and continuously updated in trusted 2D schematic and 3D model formats. PlantSight provides all stakeholders with cloud/web-enabled visibility and access into existing data and tool interfaces, assuring that changes are timely and accurately captured and managed.

With PlantSight as-operated digital twin cloud services, operational and project-related engineering data is aligned seamlessly. All disciplines and stakeholders have immediate access to consistent representations. Especially for brownfield installations, the time and effort to federate and complete asset information will be significantly reduced, with plant documentation kept up to date, and its quality accordingly improved.

PlantSight can now realize the process industries’ top priority in ‘going digital’— the digital twin enablement of their operating plant engineering.”
Greg Bentley, CEO, Bentley Systems

Greg Bentley, CEO for Bentley Systems, says: “From the start of Bentley Systems’ strategic alliance with Siemens, we have together seen our development of PlantSight as having perhaps the most significance for our marketplace. Siemens’ announced combination of its digital offerings for discrete and process plants enables our bringing together, through a cloud service, the complementary elements of Comos, OpenPlant, MindSphere, and Teamcenter. PlantSight can now realize the process industries’ top priority in ‘going digital’— the digital twin enablement of their operating plant engineering!”

And Klaus Helmrich, Member of the Management Board of Siemens, stresses: “With PlantSight, we are stepping up our cooperation with Bentley and extending the possibilities offered by data utilization for the process industry. This joint solution based on the complementary know-how of Bentley and Siemens represents a key step towards making digital twins even more efficient and creating a digitally integrated value chain, which offers even greater consistency. In this way, we’re continuously enlarging our Digital Enterprise portfolio by embracing future technologies.”

Value of Digital Twins

For engineers in operating plants, the value of an as-operated digital twin is determined by the accessibility and integrity of information that can be presented, and edited, in trusted formats of schematics and 3D models. PlantSight, through its new cloud service and web interface, takes advantage of the complementarity, proven engineering robustness and intelligence of COMOS and OpenPlant, fully integrating functional and spatial modeling. For the first time, engineers on site can have both accessible existing data, and accessible tool interfaces, to assure that as-operated changes are timely and accurately captured and managed through PlantSight’s ledger of changes, for assured fidelity.

Just as significantly, the as-operated digital twin, through the cloud accessibility and securely open architecture of its CDE, provides immersive visibility throughout the operating plant lifecycle, including mixed-reality visualization of all information, and even more importantly, digital visibility for machine learning and analytics.

“This joint solution based on the complementary know-how of Bentley and Siemens represents a key step towards making digital twins even more efficient and creating a digitally integrated value chain.”
Klaus Helmrich, Member of the Management Board, Siemens

PlantSight digital twin cloud services will be marketed separately by both Siemens and Bentley, and early adopters are now being selected. The companies are now working to add to PlantSight state-of-the-art asset performance modeling (APM) capabilities, to make the most of services based on Siemens’ MindSphere IoT operating system. For manufactured digital components, Siemens’ Teamcenter PLM will provide immersive access to product digital twins for simulation and remediation.

Creating a Holistic Digital Context

PlantSight enables up-to-date, as-operated digital twins — synchronizing the real plant and its engineering representations — for more efficient process plant operations. Sandra DiMatteo, Director of Marketing, Digital Twin Solutions, Industrial, Bentley Systems, summarizes: “Operations and Maintenance Leaders have finally found their system of systems to implement Maintenance 4.0 and bring accurate engineering data to their teams. PlantSight is the first in a new generation of digital twin solutions bringing visibility to and automating the analysis of plant data for more informed and timely decision making. This is an absolute requirement as IoT becomes the lifeline of plant asset performance. With the rate of change coupled with the variety, velocity and veracity of data, it’s about time that engineering, operations and maintenance take a stand to collaborate in one system of systems.”

So, PlantSight can be seen as a customizable suite of applications paired with an intuitive web-based portal, cutting down IT-related infrastructure and training costs. The Digital Asset Portal provides access to traditionally inaccessible data through intelligent scanning and interpretation — and generates valuable insights.

PlantSight is the first in a new generation of digital twin solutions bringing visibility to and automating the analysis of plant data for more informed and timely decision making.
Sandra DiMatteo; Global Director of Marketing for Asset Performance, Bentley Systems

One complete, living digital twin ensures data transparency and reliability — for effective decision making. 1D, 2D and 3D data brought together from many different sources provides consistent data, reveals relevant context, unveils “dark data” and generates sound insights.

The time slider lets you scroll into the past and switch between different disciplines of the plant — so you can see what has changed over time as well as the different discipline-based data and decisions behind that change.