CNC / MACHINE TOOL · TELEMETRY NORMALIZATION
16,908 confirmed mappings·18 OEM families·14 protocols·99% field coverage
Forge turns raw Heidenhain tags into one clean, governed schema your AI agent already understands. One MCP call, no per-machine integration project.
TNC controls expose data over DNC/OPC UA with Klartext program references and S_actual style tags that differ from the ISO-code world most integrations assume.
Typical Heidenhain equipment communicates over OPC UA, MTConnect. Each firmware revision, model line and integrator names the same physical quantity differently, so every AI or analytics project pays the integration tax again, the tax that cancels 40% of industrial AI deployments before they ship.
Forge normalizes Heidenhain telemetry into Forge's canonical field set, the same 366 canonical fields used across all 18 manufacturers. Point Forge at the machine, pass oem: "heidenhain", and spindle speed is spindle_speed_rpm whether it came from a Heidenhain controller or anything else on the floor.
Confirmed canonical fields your agent gets from Heidenhain machines, drawn from Forge's 16,908-mapping corpus:
| Raw tag in | Canonical field out | Meaning | |
|---|---|---|---|
| S_actual: 9000 | → | spindle_speed_rpm: 9000 | actual spindle speed |
| spindleLoadPct: 60 | → | spindle_load_pct: 60 | spindle load |
| activeProgram: "TNC_1.H" | → | program_name: "TNC_1.H" | Klartext program |
| feedActual: 800 | → | feed_rate: 800 | actual feed |
No SDK, no per-tag mapping, no historian project. Connect the MCP server and normalize live Heidenhain data:
Unknown tags never get force-mapped. Fields below the confidence floor abstain rather than guess, so your agent never acts on a bad reading.