AI: Knowledge graph
Connect your production data to your own documents.
Bring in machine manuals, SOPs and any documentation about your process. Advisor links what it sees in your production data to those documents, and can say how an issue could be fixed, citing the document it used.
What it does
Advisor answers from your own documents, and says where it found them.
The fix for a recurring problem is often already written down, in a manual or an SOP nobody has time to search. Knowledge graph puts those documents next to the data.
- Brings in machine manuals, SOPs and other documentation about your manufacturing process.
- Organizes them into a knowledge graph tied to your lines, machines and the problems they report.
- Connects a signal in the production data, such as a repeated stop, to the passages that cover it.
- Suggests how an issue could be fixed and cites the document and section it came from.
- Advisor links your manuals, SOPs and process documents to the production records behind its answer.
Fig. From a question to a cited passage
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Question
Why does Line 2 keep jamming at the infeed?
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Signal in your production data
14 infeed jams this week on Line 2. 11 of them came in the first hour after a changeover.
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Linked passage from your documents
“Re-seat the infeed guide rails to the width on the setup card before restarting.”
Source: SOP-114 Line 2 changeover, revision C, section 4.2
How it works
How it works, in three steps.
Bring in your documents
Machine manuals, SOPs and any other documentation about how your plant runs.
They are linked to your plant
Documents are connected to the lines, machines and problems they describe, in a knowledge graph.
Ask Advisor
It ties what it sees in production to the matching passage and answers with the source named.
Put your manuals and SOPs to work.
Tell us which documents your team goes looking for and we will show how Advisor links them to your production data.