Automated and Optimized
P&ID Ingestion
Revolutionizing piping and instrumentation diagrams: harnessing the dimensional power of P&ID in industry and manufacturing through AI
Automated diagram interpretation
Machine Learning and Vision AI algorithms analyze, recognize, and interpret drawing symbols, text, and process patterns in P&IDs to identify machines, sensors, piping, and other components. These components and their interconnections are digitally modeled into inputs and data sources as an integral pipeline within Data Orchestration.
Bring unprecedented efficiency to traditional ingestion processes of engineering and design data. Use automation, asset libraries, OCR, and AI technologies to parse and extract diagram components and their connections, along with asset specifications and metadata associated with each component.
Intelligent P&IDs are easily managed, updated, reviewed, and monitored, as changes are instantly reflected to all of the linked and shared data sources affected by the changes within the organization, accelerating the goal of achieving and maintaining optimal system performance.
Automated P&ID interpretation and ingestion creates an end-to-end solution for translating engineering data & drawings from conventional systems, to parsing component symbols, labels, and specifications into meaningful and valuable structured data.
P&ID ingestion and data orchestration
- Ingesting P&IDs into digital assets provides an automated intelligence assistant for building data models and asset hierarchies, removing the traditionally painstaking process from engineers and data managers.
- Traditional P&ID documents are interpreted through industrial engineering symbol libraries and intelligent analytic processes that are refined and trained to capture all of the relevant components and relational metadata.
- Increase speed, efficiency, and process time by replacing manual P&ID reviewing, interpretation, and data input tasks with automated AI tools, updating and maintaining drawings with no coding required.
Intelligent P&ID beneficial use cases
Identifies potential machinery issues across an entire enterprise before they lead to failures, leveraging predictive analytics to enhance operational reliability and minimize maintenance costs.
Analyzes and simulates process flow efficiency within diagrams to identify and address potential bottlenecks and to suggest improvements for enhancing productivity, optimizing operational flows, and reducing energy and waste.
Provides tools for scenario planning and deep insights into operational efficiency to identify areas for improvement and innovation, helping managers make informed decisions about future operations and strategic directions.
Enables quick adaptation to market changes through agile reconfiguration of process operations, maintaining competitive advantage while further supporting strategic investment decisions with data-driven insights as justification for resource allocations.
