Recently, Robert Bosch Engineering and Business Solutions (RBEI) introduced an AIoT (Artificial Intelligence of Things) platform called Phantom Edge that offers real-time electrical energy consumption, operating usage, electrical parameters, and appliance level information. The AIoT platform, for which the value was however to be exposed, can be worn for real-time energy monitoring in retail, residential, mobility, healthcare, agriculture, and commercial spaces.

It delivers granular energy consumption data at an advantage level, without the need of installing submeters, which produces asset benchmarking, identifying anomalies, and drives behavioral change for achieving energy savings and sustainability goals.

Dattatri Salagame, President and Managing Director of RBEI, states, "Bosch's Phantom Edge is a powerful ecosystem designed to be leveraged for industries that are jump-starting their digital journey. RBEI's vision is to provide smart solutions for the globe and Phantom Edge is a step in that direction. We believe we have built a product that is truly invented for life.”

AIoT also offers real-time information on machines OEE (availability, performance, and quality), part count, and energy consumption, thus enabling productivity and sustainability labors in the organization in a cost-effective and non-intrusive technique without the requirement for expensive on-site IT infrastructure.

Phantom Edge uses non-intrusive sensors to gather power signatures and machine learning (ML) algorithms meeting on the edge, analyses these signatures to deliver a real-time view of electrical energy consumption, operating usage, electrical parameters, and appliance-level information and thereby produce its digital twin.

The Phantom Edge device is built with an Arm Cortex 1.6 GHz Speed processor and 2GB RAM to achieve powerful AI and ML algorithms and 8GB internal memory to hoard the data throughout the connectivity loss. The device supports Wi-Fi, 2G, 3G, 4G for cloud connectivity and BLE, RS 232 serial, and ethernet for communicating with peripheral sensors/assets. The solution also resides with a cloud-based SaaS application with the potential to give real-time alerts and notifications for customers to proceed upon the asset's productivity and energy consumption.