[ PRJ-001 ] · 2026
Industrial thermal process control
Real-time heating control and process monitoring for industrial machinery, combining machine data, thermal imaging and energy analysis in a single HMI.
- Role
- Lead engineer, from sensor integration to operator interface
- Layers
- [01] SENSE[03] BUILD[04] THINK
- Stack
- C# · .NET · SQL · Vue · Signal processing · Web dashboard
Context
The process required precise control over multiple heating zones and continuous visibility into how temperature evolved during production.
Operators needed more than heater setpoints: they needed to understand the actual thermal behaviour of the machine, compare production cycles, inspect temperature distribution and identify anomalies without switching between separate diagnostic tools.
What I built
- Heating control: configuration and monitoring of multiple heating zones, with real-time setpoints, measured values and process state.
- Real-time telemetry: acquisition of machine and sensor data through MQTT, with WebSocket streaming to the HMI for live trends and process visualization.
- Dashboards
charts for temperatures, heating behaviour, process variables and machine status, covering both live operation and diagnostics. - Historical analysis
storage and visualization of production data, allowing previous cycles to be inspected and process behaviour compared over time. - Energy reconstruction
of machine and sensor signals with a custom numerical algorithm to reconstruct energy consumption from sampled process data.
Outcome
A single operational view of the thermal process, connecting heater configuration, sensor data, thermal behaviour and energy consumption.
Operators could move from seeing that a process was behaving differently to understanding where, when and how it changed, using the same interface during production and post-process analysis.