IoT monitoring solution deployed at commuter railway stations for real-time facility supervision and predictive maintenance.
Railway station infrastructure required continuous visibility across critical facilities and real-time alarms to technical services, with the solution robust enough for a full live deployment.
An IoT monitoring system combines embedded devices, sensors and cloud services to monitor lifts, escalators, lighting, HVAC and doors. It provides real-time facility data, remote diagnostics and alarms, with edge processing for privacy, low latency and reliable operation without cloud connectivity. The solution won a national rail operator innovation challenge and was deployed at Mataró commuter station for one year.
One year of uninterrupted operation
Real-time alarms for technical services
Monitoring of lifts, escalators, lighting, HVAC and doors
Remote diagnostics
Predictive maintenance support
Occupancy monitoring
Facility data acquisition
Remote diagnostics
Cloud visualization
Management integration
Technologies:
MQTT, PostgreSQL, Flutter, Machine Learning (Edge AI), 4G/LTE, Linux, IoT sensors, Embedded firmware, Wireless connectivity, Cloud services, REST API, Dashboard visualization, Data analytics, Custom CM4 carrier board, Power BI, Wireguard, Golang
Methodology:
Hardware & Software, Field-oriented validation
Team:
3 engineers
Duration:
9 months
