Architecture
Sending data from your assets to your devices
Sensors
Vibration Motes
Transmitter
Other Sensors
Connectivity
Enterprise WiFi
Cellular Gateway
Cloud
Petasense Cloud
REST APIs
Private Cloud Option
Dashboard
Web & Mobile App
Events & Notifications
Reports
ML-driven Health Score
Sensors
Vibration Mote
A battery-powered triaxial wireless vibration sensor to continuously monitor the health and utilization of rotating machines like motors, pumps and gearboxes.
Transmitter
Wireless sensor input module for asset reliability and optimization for any industrial asset including rotating machines, valves, electrical panels and more.
Connectivity
Enterprise WiFi
Simply connect sensors to your existing enterprise WiFi network.
Cellular Gateway
Alternatively, Petasense can provision a reliable 3rd-party cellular gateway which uses the cellular network to launch a turn-key wireless network.
Cloud
Petasense Cloud
Securely store sensor data and use machine learning algorithms to assess the health of your assets in real-time.
REST APIs
Petasense Cloud supports REST APIs to enable storing and retrieving of sensor data. The APIs have secure authentication to ensure that only authorized users or programs can access and update the data.
Private Cloud Option
Petasense Cloud currently operates on the public cloud infrastructure of Google Cloud. Private Cloud support is available by request.
Dashboard
Web & Mobile App
Monitor the health and utilization of your critical assets with an intuitive,color-coded machine health dashboard. Historical plant health and machine utilization charts provide insights into how the plant is performing over time.the dashboard is accessible from any browser or mobile device.
Events & Notifications
Receive automated alerts and track the health of your critical machines from anywhere
Reports
Receive automated alerts and track the health of your critical machines from anywhere
ML-driven Health Score
Make maintenance decisions based on a ML driven health score. The health score is calculated using a machine learning algorithm that uses 30 to 40 asset-specific sensor parameters as a baseline. The health score is a measure of the extent of deviation from the baseline.