SENSE
Collect readings
A REST API receives sensor values as JSON and stores timestamped readings. A simulator generates test data for active sensors: 95% OK, 4.5% Warning, and 0.5% Critical readings.
SIEMENS PORTUGAL / 2026 COMPETITION
Siemens Accelerate NextGen 26
An annual competition by Siemens Portugal for engineering students. Teams develop applied solutions to real challenges in sustainable digital transformation.
The competition has two tracks: energy infrastructure and industrial automation. Participants work with Siemens technology and specialists, and finalist teams present at the Siemens campus in Alfragide.
COMPETITION RESULT
We reached the final
FINAL / PRESENTATION
Our team at the final
FINAL POST
Our journey to the final
OUR FINALIST PROJECT
Signalis
An intelligent industrial monitoring and management platform for predictive maintenance, machine health analysis, and production-line optimization.
A clearer picture of factory health
Factory data is often spread across sensors, machines, production lines, and maintenance systems. Signalis brings readings, machine states, alerts, and service tasks into one place, helping teams understand what is happening and decide what to do next.
HOW THE SYSTEM WORKS
From sensor reading to production response
DIAGNOSE
Assess machine health
Each reading is compared with its expected range and the current production-line load. The machine is classified as OK, Warning, or Critical.
RESPOND
Schedule action
Alerts and maintenance orders are created for the operator. A Warning schedules line downtime for maintenance; a Critical fault blocks the line immediately and schedules maintenance for the next hour with operators on duty.
RECOVER
Keep production moving
When a line is disrupted, Signalis reallocates affected production slots to compatible lines. The dashboard reflects operational status and the impact of each event.
WHAT SETS IT APART
From monitoring to action
Signalis is designed to do more than display factory data. It connects sensor analysis to automated alerts, maintenance scheduling, and production reallocation, helping teams respond to faults before they ripple through a line.
Built inMendixData model · Microflows · User
interface
PROJECT / APP SCREENS
Signalis in action
