A control loop is only as good as its worst case.
Industrial systems are specified by what they guarantee under load, not by what they achieve on average.
WHAT THE WORK TURNS ON
- Deterministic control loops
- Scheduling to a known worst case, which is the only number a plant can plan around.
- Digital twins
- A model kept faithful enough to be worth deciding from.
- Predictive operations
- Intervention scheduled from condition rather than from the calendar.
ARCHITECTURE
The architecture this sector draws on. It is the same system TrustXP builds in the corresponding domain — the sector changes what matters in it, not what it is.
IoT and embedded system architecture
- Device
- Sensor array and the embedded controller that reads it.
- Edge intelligence
- An RTOS and an inference layer deciding on-device.
- Cloud services
- Integration, device management and over-the-air update.
A sensor array feeds an edge controller running an RTOS and an inference layer. Connectivity carries data to cloud services, and a device-management path returns firmware and configuration over the air.
- Layer 1 of 3: Device. Sensor array and the embedded controller that reads it.
- Sensor array — Concern deterministic control loops
- MCU / SoC — Concern embedded firmware
- Peripherals
- Layer 2 of 3: Edge intelligence. An RTOS and an inference layer deciding on-device.
- RTOS — Concern edge inference latency
- Inference — Validation medical-device controls
- Layer 3 of 3: Cloud services. Integration, device management and over-the-air update.
- Connectivity
- Device management — Path OTA update
Connections:
- Sensor array reports readings to MCU / SoC.
- MCU / SoC drives Peripherals.
- MCU / SoC passes data up to RTOS.
- RTOS schedules Inference.
- Inference passes data up to Connectivity.
- Connectivity carries telemetry to Device management.
- Device management returns firmware and configuration to Inference.