Sense the passage
An IR trigger marks the train event; piezoelectric sensors capture the track’s vibration.
Smart Ballast
HARDWARE INTEGRATION / INDUSTRIAL IoTECS team project · academic prototype
The track has a signal. Learn to listen.
THE CONTEXT
An ECS team prototype for sensing railway track vibration.
THE KEY DECISION
Trigger edge analysis on train detection, then relay alerts through an IoT gateway.
THE RESULT
Physical sensing, Python analysis and remote fault visualization connected in one prototype.
Smart BallastVIBRATION → SIGNAL
MECHANISM STUDY / 11SCHEMATIC
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Read the signature
An MCP3008 digitizes the signal for Python analysis on a Raspberry Pi 3B+.
Carry the alert
433 MHz RF reaches an ESP32 gateway; Wi-Fi carries the event to a ThingSpeak dashboard.
Smart Ballast Vibration Monitoring System is an ECS team project at VIT: a physical sensing prototype that connects track vibrations to software, wireless alerts and remote monitoring.
PROJECT TYPE
ECS team project · hardware & software integration
FOCUS
Hardware integration + Data / analytics + Research
STATUS
ECS team project · academic prototype
/01
The question.
Sub-surface track instability can be difficult to spot from the surface. The project explores whether a low-cost sensor node can capture vibration events and distinguish routine movement from high-impact signatures.
/02
The approach.
IR train detection triggers an event-driven sensing workflow. Piezoelectric signals pass through an MCP3008 ADC to a Raspberry Pi 3B+, where Python logic analyzes the vibration signature. A 433 MHz RF link carries alerts to an ESP32 gateway, which connects over Wi-Fi to ThingSpeak.
/03
What came out of it.
The team connected physical sensing, edge analysis and cloud visualization in an academic prototype. Remote fault logging makes the sensing chain visible beyond the trackside node and provides a foundation for further infrastructure-monitoring experiments.
01
A physical event starts the story
The IR detector ties analysis to a train passage. The piezoelectric sensing path supplies the vibration signal that the software evaluates.
02
Two different wireless hops
The local RF link and the gateway’s Wi-Fi connection serve separate parts of the journey: trackside alert transport, then dashboard connectivity.
03
Built together, across disciplines
An ECS team project combining embedded hardware, Python analysis, wireless communication and data visualization. The system described here is the team’s shared work.
Under the surface.
- Sensing
- IR detection · piezoelectric sensors · MCP3008 ADC
- Edge analysis
- Raspberry Pi 3B+ · Python · event-driven vibration logic
- Remote monitoring
- 433 MHz RF · ESP32 · Wi-Fi · ThingSpeak
SCOPE & LIMITS
- Academic team prototype; railway deployment or safety certification is not claimed.
- The illustrated vibration is a schematic event, not a measured field trace.
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