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Why P&ID Connect?

Cerebre is excited to share more about our product, P&ID Connect! P&ID Connect transforms brownfield piping & instrumentation diagrams into accessible, usable data that supports advanced analytics and daily field operations.


This post is part of a series that will cover the history behind P&ID Connect, the benefits it provides to our customers, case studies, and field testimonials.


 

Why P&ID Connect?


As part of our mission to digitize the physical world, we believe that Big Data & AI (Artificial Intelligence) will transform our most well-established industries.


Our team of data engineers and process engineers have years of experience leading this transformation. This experience includes building 50+ equipment intelligence models, 15+ energy consumption models, and 100+ deep learning product intelligence models.


As we designed and deployed these new capabilities, we experienced many of the same challenges that our customers do:

  • Brownfield sites are old! In some cases, 40, 60, or even 80 years old. The sites were designed and built before the promises of “AI” and “Digital Twin.”

  • Asset information is scattered across different data sources, making access to the right data for modeling difficult.

  • Assets have different naming conventions across data sources, creating confusion and multiple “sources of truth.”

  • Data “clean up” efforts are delayed because they require field personnel to ground-truth information. Site operators and engineers have different priorities.

In short, we noticed a disconnect between the physical context of brownfield plants and the world of industrial analytics.

What does that mean?


To us, physical context is the relationships of all assets in a plant, to one another, and to production.


It means knowing:

  • How performance data for multiple pieces of equipment along a production line is related

  • How to tie together disparate data sources containing asset information

  • How similar equipment is configured in multiple settings

  • What lies along the production path from one piece of equipment to another (even across different piping & instrumentation diagrams (P&IDs) and battery units)

  • What surrounds a particular piece of equipment. For example, knowing which valves surround a specific pump.


We set a goal to convert the physical context that exists on the plant floor into a digital foundation that could support advanced analytics and daily field operations.


We achieved that goal by harnessing the power of ground-truthed data.

Today, P&IDs serve as the common language of the plant.


They exist in hundreds, even thousands of static images used by engineers to support everyday activities and major projects. Our solution uses P&IDs to extract, connect and sequence all plant data including equipment, sensors, lines, text, tables, and more.




P&ID Connect converts the physical context of a plant into accessible, usable data.


Having a full picture of asset sequencing and connectivity removes several of the scale barriers we experienced deploying simulations, advanced analytics, and machine learning.


This same data foundation can enable quicker, smarter, and safer decisions on the plant floor.


We are confident that P&ID Connect will bring us closer to the transformative promises of Big Data & AI.


 

In future parts of this series, we will cover the highest value use cases for P&ID Connect including benefits across organizations of different digital capabilities. If you are interested in learning more or running a pilot with your P&ID data, drop us an email at info@cerebre.io.


Stay tuned!






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