PROCESS / BATCH · TELEMETRY NORMALIZATION
16,908 confirmed mappings·18 OEM families·14 protocols·96% field coverage
Forge turns raw Chemical process tags into one clean, governed schema your AI agent already understands. One MCP call, no per-line integration project.
Chemical reactors report pressure, pH and reactor temperature through DCS/PLC tags with cryptic historian names, the exact readings a safety-critical AI needs, locked behind per-site naming.
Typical Chemical process equipment communicates over OPC UA, Modbus TCP, MQTT Sparkplug B, BACnet/IP. 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 Chemical process telemetry into Forge's canonical field set, the same 366 canonical fields used across all 18 manufacturers. Point Forge at the line, pass oem: "chemical", and spindle speed is spindle_speed_rpm whether it came from a Chemical process controller or anything else on the floor.
Vertical pack · 28 curated mappings
Confirmed canonical fields your agent gets from Chemical process lines, drawn from Forge's 16,908-mapping corpus:
| Raw tag in | Canonical field out | Meaning | |
|---|---|---|---|
| RX_PRESS: 3.4 | → | process.reactor.pressure_bar: 3.4 | reactor pressure |
| RX_TEMP: 88.0 | → | process.reactor.temp_c: 88.0 | reactor temperature |
| PH_1: 6.9 | → | process.ph: 6.9 | reactor pH |
| AGIT_RPM: 90 | → | process.agitator_rpm: 90 | agitator speed |
No SDK, no per-tag mapping, no historian project. Connect the MCP server and normalize live Chemical process 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.