Industrial Vibration Monitoring System
Budget: $30 – $250 USD
My goal is to put an always-on, online vibration-based condition monitoring solution in place for our industrial machinery. The system must continuously read and log RPM, displacement, and acceleration, then publish the data to a web dashboard where trending, thresholds, and automatic alerts can be configured in real time.
Here is what I already have and what I expect from you:
• Sensors & acquisition: I can source standard piezo or MEMS accelerometers and an RPM pickup, but I need guidance on the optimal sensor grade, mounting positions, and a compact DAQ (Raspberry Pi, ESP32, NI cDAQ, or similar—open to your recommendation) capable of simultaneous sampling.
• Connectivity & protocol: Data has to leave the shop floor securely. MQTT or REST over Ethernet/Wi-Fi is acceptable; if you favour another lightweight protocol, let me know why.
• Cloud/backend: A small AWS, Azure, or on-prem InfluxDB/Grafana stack is fine so long as I end up with a browser-based dashboard that shows live values, historical plots, and colour-coded alarm states. Automatic e-mail/SMS alerts when vibration exceeds set limits are essential.
• Front end & usability: Configure the dashboard with separate panels for RPM, displacement, and acceleration, plus an overall machine health indicator. I should be able to add machines or change limits without coding.
• Handover: Provide documented source code or configuration files, wiring diagrams, and a quick-start guide so my maintenance team can replicate the setup on additional machines.
Acceptance criteria
1. Live data visible in the dashboard from at least one test machine.
2. Adjustable warning and critical thresholds that trigger an alert.
3. Data stored for a minimum of seven days with no loss during connectivity drops.
If you have prior projects in vibration analysis, predictive maintenance, or IoT telemetry, please reference them when you reply so I can gauge fit quickly.
Here is what I already have and what I expect from you:
• Sensors & acquisition: I can source standard piezo or MEMS accelerometers and an RPM pickup, but I need guidance on the optimal sensor grade, mounting positions, and a compact DAQ (Raspberry Pi, ESP32, NI cDAQ, or similar—open to your recommendation) capable of simultaneous sampling.
• Connectivity & protocol: Data has to leave the shop floor securely. MQTT or REST over Ethernet/Wi-Fi is acceptable; if you favour another lightweight protocol, let me know why.
• Cloud/backend: A small AWS, Azure, or on-prem InfluxDB/Grafana stack is fine so long as I end up with a browser-based dashboard that shows live values, historical plots, and colour-coded alarm states. Automatic e-mail/SMS alerts when vibration exceeds set limits are essential.
• Front end & usability: Configure the dashboard with separate panels for RPM, displacement, and acceleration, plus an overall machine health indicator. I should be able to add machines or change limits without coding.
• Handover: Provide documented source code or configuration files, wiring diagrams, and a quick-start guide so my maintenance team can replicate the setup on additional machines.
Acceptance criteria
1. Live data visible in the dashboard from at least one test machine.
2. Adjustable warning and critical thresholds that trigger an alert.
3. Data stored for a minimum of seven days with no loss during connectivity drops.
If you have prior projects in vibration analysis, predictive maintenance, or IoT telemetry, please reference them when you reply so I can gauge fit quickly.