Amazon Monitron features
Data connectivity, storage, analytics and alerting are the foundational elements of predictive maintenance. However, companies have historically needed skilled technicians and data scientists to install the necessary sensors and infrastructure, and create a complex solution from scratch.
Amazon Monitron gateway device securely transfers data to AWS, and the service automatically analyzes your data for abnormal machine conditions using machine learning. You can start monitoring equipment health in minutes through the Amazon Monitron mobile and web apps, and enable predictive maintenance with the same technology used to monitor equipment in Amazon Fulfillment Centers.
End-to-end system of wireless sensors and gateways
Amazon Monitron’s wireless sensors can easily attach to your equipment with adhesive, without the need for expensive and cumbersome cabling. These low-cost sensors (including Ex-rated sensors) are purpose-built to capture vibration and temperature data in order to monitor the condition of your rotating equipment. Amazon Monitron also includes Wi-Fi and ethernet gateways to transfer the sensor data to AWS. Amazon Monitron Sensors and Gateways are pre-configured to work with the Amazon Monitron service.
Technical specs
Amazon Monitron Sensors (TE1A001)
| Dimensions | 52.8 x 43.0 x 24.9 mm / 2.08 x 1.69 x 0.98 inch |
| Weight | 54 grams |
| IP Rating | IP69 |
| Connectivity | Wireless protocol: Bluetooth Low Energy 5 |
| Power | Lithium Metal Non-Rechargeable Batteries. Estimated 5 year battery life |
Ex-rates Amazon Monitron Sensors (TE1A195)
| Operating Temperature | -20°C to +80°C / -4°F to +176°F |
| Dimensions | 52.8 x 43.0 x 24.9 mm / 2.08 x 1.69 x 0.98 inch |
| Weight | 55 grams |
| IP Rating | IP69 |
| Ex Ratings | US & Canada: Class I, Zone 2, AEx ic IIC T4 Gc “I.S.” Ex ic IIC T4 Gc Class I, Division 2, Groups A, B, C and D, T4 EU, UK & IECEx: II 3G Ex ic IIC T4 Gc Ambient Temperature Rating: -40°C to +80°C |
| Ex Compliance | CE, UKCA, cMETus UL/CSA 62368-1 UL/CSA 60079-0 UL/CSA 60079-11 IEC/EN 60079-0 IEC/EN 60079-11 |
| Mounting method | Instant adhesive / Epoxy |
| Wireless protocol | Bluetooth Low Energy 5 |
| Vibration sensor | 3-axis MEMS accelerometer, range +/-16g, frequency response up to 1KHz, output data rate 6.6KHz |
| Power | Lithium Metal Non-Rechargeable Batteries |
| Battery life | Estimated 5 years |
| Default data capture frequency | wake-up on motion/ once an hour |
Amazon Monitron Gateway (Wi-Fi)
| Dimensions | 90 x 78 x 38 mm / 3.6 x 3.1 x 1.5 inch |
| Weight | 95 grams |
| IP Rating | IP65 |
| Connectivity | WiFi, 802.11b/g/n, ISM 2.4GHz only |
| Power | Power 5.0V - 2.0A DC, AC adapter included for some countries (indoors only) |
Amazon Monitron Gateway (Ethernet)
| Operating Temperature | -20 + 60°C / -4 +140°F |
| Dimensions | 13.9 x 10.7 x 4.1 cm, 5.5 x 4.2 x 1.6 inch |
| Weight | 230 gr, 8.2 oz |
| IP Rating | IIP65 |
| Connectivity | RJ45 10 / 100Mbps |
| Power | IEEE 802.3 at type 1 (15.4 Watt Class) |
Simple device set-up with the Amazon Monitron Mobile App
Set up Amazon Monitron sensors quickly and easily by tapping your phone on the sensor utilizing near-field communication (NFC) technology. Set up your Gateway by following a few simple steps in the app. You can quickly install and start using these devices to monitor your equipment without any development work.
ISO and ML-based analytics
Amazon Monitron automatically detects abnormal machine operating states by analyzing vibration and temperature signals using the ISO 20816 standards for vibration, and ML-enabled models.
Timely notifications in the Amazon Monitron app
Amazon Monitron sends push notifications when the service detects abnormal machine patterns from the vibration and temperature settings. You can also review and track these abnormal machine states within the app.
Alert feedback
With just a few taps in the mobile and web apps, you can enter feedback on the alerts received, such as failure mode, failure cause, and action taken. Amazon Monitron learns from that feedback and continually improves over time.
