iRev IOT platform

iRev-IOT (Internet of Things) is a cloud-ready software suite that enables remote monitoring, analysis and control of thousands of smart devices anywhere on the internet. Using standards based integration, sophisticated transformation and data presentation techniques, iRev-IOT facilitates management of enterprise assets with any standard web browser or mobile app.

Data Capture

Integrates disparate hardware systems by industry-standard protocols and interfaces. Data is acquired on a near real-time basis, grouped and routed to iRev-IOT server hosted on the internet.

Transformation

Raw data from multiple data-acquisition modules is transformed to information. Data is normalized with data-cleansing algorithms, aggregated and collated with contextual information. The transformed data is stored in a data warehouse optimized for big data analytics.

Information and Control Layer

A centralized console ensures all information is in one place with secure and role based access to application. Real-time status and Alerts enable proactive response to issues. Interactive graphical dashboards provide historical data analysis.

iRev-IOT Features

  • Integrates with different types of meters, sensor or data concentrators via industry standard protocols such as Modbus, BACNet or OPC.
  • Supports different types of interfaces such as GPRS, Wifi, LAN or serial ports.
  • Data can be imported from external applications such as SCADA, PLC or production control systems for benchmarking and collation.
  • Distributed architecture that scales up to support simultaneous integration with thousands of smart devices.
  • Secure access to application by role-based access control.
  • Event or time based automatic data capture with data-cleansing algorithms.
  • Real-time status, trends and configurable alerts via email/SMS/Pop-Up.
  • Configurable and interactive reports and dashboards that can be exported to different formats.
  • Process visualization with animation based on real-time values.
  • Options for executing control commands based on configurable conditions.
  • Can be deployed on a cloud server or installed at customer premises.