Use case: P&ID to asset graph # From P&ID drawings to a reviewed plant graph with live values Aditum Data reads P&IDs from PDF or scans (text, instrument tags and symbols) and proposes a link from each drawn tag to its time series. A person checks every proposal before it counts. Facts checked 24 October 2026 ## What can be imported? P&IDs as PDF or scans, native DEXPI P&IDs, 3D models (AVEVA RVM with attributes, IFC) and spreadsheet tag registers. A recognised drawing can be exported again as DEXPI XML or as GraphML and JSON. ## What is the plant graph? Tags, drawings, 3D objects and time series become one reviewed graph per organisation; each link shows how it was found and who approved it, and can be undone. - Naming rules (for example ISA-5.1 or KKS) place historian tags under site, unit and equipment after an admin approves a preview. - An approved rule turns OPC UA folders and MQTT topics into plant levels, and PI points can be placed on the graph. - Only instruments are ever approved automatically; everything else waits for a person. ## What do engineers do with it? Trace a line across all P&ID sheets of a site with live values, and see the same equipment in 3D. - The Plant view stitches the sheets together at their off-page connectors. A trace stops at any join nobody has confirmed. - 3D models show live values, temperature colouring and a 24-hour replay. - One click builds an equipment dashboard from the approved asset tree. ## Questions **How accurate is the P&ID reading?** It depends on your drawings, so we measure it on yours during a pilot. That is why every proposal waits for a person, and only instruments are approved automatically. ## Read next - [Prompt to dashboardType a question about your plant data and Aditum Data drafts a live dashboard for approval. The platform calculates every number, never the AI.](https://aditumdata.com/use-cases/prompt-to-dashboard) - [Aditum Data vs Cognite Data FusionCognite Data Fusion is an industrial knowledge-graph platform; Aditum Data is a fast path from plant sources to comparable KPIs and dashboards, and it can work alongside CDF. Sourced comparison.](https://aditumdata.com/compare/cognite-data-fusion) - [ConnectorsWhich plant and business systems Aditum Data reads and writes: OPC UA, MQTT and Sparkplug B, Modbus TCP, AVEVA PI, GE Proficy, SQL databases, InfluxDB, Kafka, S3, SAP OData and REST.](https://aditumdata.com/connectors) ## Discuss architecture with an industrial data specialist. Source compatibility, security boundaries, deployment and multi-site operation. Or request a 45-minute technical session to select one KPI and three sites and draft the acceptance criteria. [Book a technical demo](https://aditumdata.com/#contact)[sales@aditumdata.com](mailto:sales@aditumdata.com)