Description
IoT based microcontroller device and Electricity Activity Tracker for electrical installations in buildings, Ohm Assistant, 3rd Generation, Three-Phase IoT Device: SustLabs Ohm Assistant For Homes
Ohm assistant is an electricity activity tracker designed to help you become energy wiser and ultimately make your homes smarter. The bot decodes appliance-level electricity consumption by reading the bot data using machine learning processes, eliminating the need to deploy additional sensors inside the home. Get a more transparent analysis of your electricity usage. Ohm shows you the electricity consumption of the appliances in your home, right now on your mobile. No more guesswork. Understand your appliances better, your usage, and how you are billed easily. Get notified in case of a sudden surge in power consumption. Know about AC, refrigerators, geysers, washing machines, heating appliances, dishwashers, EVs, and others. These data assist you in making smart decisions.
One-time installation
The Ohm smart meter is installed in your meter room. Easy to plugin, with the help of an electrician. OHM, once installed, works seamlessly, to help monitor the home’s power consumption on a real-time basis.
Technical Specifications
Connection | 3 Phase |
Power Consumption | < 2 W |
Voltage Range | 3 x 230 / 400v |
Current Input | 100 A [Direct Connection] |
Frequency | 50 / 60 Hz |
Operating Temperature | -25C ~ +55C |
Communication | Wifi 802.11b/g/n |
Operating Frequency | 2.4Ghz – 2.5Ghz |
Mounting | Din rail 35mm (Size – Equivalent 2 pole MCB) |
Subscription: As per the OEM the subscription charge is fixed at ₹15/month/bot. Customers can activate this subscription by registering for a one-month free trial, and cancellation is possible at any time.
Other Terms & Conditions: Other terms and conditions as per OEM standard terms pertaining to product, services and after sales warranty and support, etc…
You can check Single-Phase Smart Electricity Monitor from SustLabs.
You can also check all Machine Learning based devices for energy monitoring: ML based Energy Monitoring Devices