Support for 20+ industrial protocols — from Siemens, Mitsubishi and Omron PLCs to CNC, injection machines, die-casting machines, SMT lines, robots and AGVs — all integrated through one gateway. Equipment data streams back in seconds, OEE is calculated automatically, and downtime is auto-classified.
From protocol adaptation and edge gateways to data processing and OEE calculation
20+ protocols including OPC-UA / Modbus TCP/RTU / MQTT / Profinet / S7 / MC / FINS / Ethernet/IP
A lightweight gateway built on EdgeX + IoTDB, with local caching, reconnection buffering and data pre-processing to reduce central-server load
Real-time data streams at the equipment / operation / work-order dimension, pushed on demand to business modules via a subscription model
Auto-recognition of 5 states — running / standby / fault / changeover / off — with downtime causes broken down
Not just "read" equipment status, but also "write" parameters: process parameters, work-order numbers and operation numbers auto-pushed to the PLC
Drivers for common equipment vendors pre-installed; scan to recognize the equipment model, cutting setup time from 1 week to 1 hour
The factory still runs injection machines from 10 years ago and CNCs from 20 years ago. Their interfaces vary wildly: some only support Modbus RTU serial, others use Siemens proprietary protocols. SBK MES ships 20+ protocol drivers, so old equipment can be integrated without replacing controllers.
Gateway upload progress
10 lines collecting every second produce 860K × 10 = 8.6 million records a day; sending all of it straight to the central server wastes bandwidth and pressures the database. The edge gateway does time-series compression / anomaly filtering / business tagging locally before pushing to the cloud, cutting data volume by 90%.
Downtime by reason (min)
OEE = availability × performance × quality. SBK MES auto-recognizes status from equipment signals, computes quality from reporting data, and derives performance from output cycle times, giving a real OEE rather than an estimate.
Haitian MA II injection machines integrated via Modbus, with mold temperature / pressure / cycle streamed back live and process parameters pushed without manual entry
Mazak CNC integrated via MTConnect, with tool life / machining cycle monitored live and proactive alerts when tools reach end of life
Siemens SIPLACE placement machines integrated, bringing placement throughput / wrong-part rate / feeder life into MES monitoring
Electricity / water / gas meters integrated via Modbus RTU serial, with energy auto-aggregated by work order / operation
Equipment data drives four scenarios: OEE, maintenance, energy and digital twin
Equipment signals auto-compute the three OEE factors
Vibration / temperature sensors drive predictive maintenance
Energy-meter data aggregated by work order
Equipment status drives the 3D model in real time
Sign up to explore 20+ protocol equipment integration and automatic OEE calculation for free, or book a consultant demo