How Edmund
thinks.
One question from the shopfloor. Five disconnected sources, schematics, PLC code, datasheets, IoT readings, decades of maintenance journals. One traced answer, with citations.
It knows where the question lives.
Edmund classifies the question and locates the exact file in the right silo of your factory's knowledge graph, the PLC project, the function block, the line of structured text where the gripper-open routine is written.
It threads the answer across silos.
From that line of code, Edmund follows the mag_ejected variable into the wiring diagram, traces the wire to the actual sensor, opens the sensor's datasheet, and surfaces the section in the manual that describes the retraction routine.
It sees the fault before you see it.
Edmund matches this fault signature against years of maintenance journals, every paper notebook, SAP ticket, SharePoint entry, and recognises this exact failure has been logged before. Across multiple machines. With a known resolution path.
logged across 12 machines
over the past 90 days
It comes back with an answer.
Not a 50-PDF search result. Not a chatbot guess. A traceable answer the technician can act on, with every source clickable, every claim cited.
The gripper-open logic lives in Eject_Mag.scl. It only fires when:
eject_mag = TRUEmag_empty = FALSE- no fault flags in
mag_eject_faultormag_retract_fault
This exact fault has been logged 47 times across 12 machines in the last 90 days, and resolved 41 of 47 times by re-pressurising Module 3 to 5.5 bar and resetting the magazine.
Suggested first check: pneumatic pressure on Module 3.
This is what your factory's brain should feel like.
A live, explorable map of every schematic, line of PLC, datasheet, sensor reading and maintenance note your team has ever produced, searchable in plain language, traceable to the source.