Smart Industrial IoT
Real-time monitoring, edge computing, and AI-based insights across industrial IoT endpoints, for manufacturing, oil & gas, power, and water customers.
Implementing the Smart Industrial IoT Solution
The Challenge
Industrial customers need real-time monitoring and process-optimization insight from distributed field assets using a mix of industrial protocols, without stitching together point solutions.
Our Approach
Run LoRa, Modbus, SNMP, and video into a Docker-based intelligent edge container at the site, then feed the processed results up into applications, dashboards, alerts, and trend reports.
Your Benefit
Predictive maintenance and AI-based analytics, delivered with secure data transmission and storage, improving operations for industrial customers.
How It Works
Field endpoints, such as fuel tanks, cameras, LoRa sensors, battery management systems, and diesel generators, connect through RAD’s edge layer, built on the SecFlow and its onboard programmable logic controller. The edge container preprocesses that data locally before forwarding it to the IoT platform for dashboards, alerts, and trend reporting.
Smart Industrial IoT Solution Highlights
Monitoring and process-optimization suggestions for improved operations.
Stack of sensors, gateways, and an IoT platform, plus a Docker-based intelligent edge container for advanced use cases.
Protocols and traffic support at the edge, including LoRa, Modbus, SNMP, and video.
Predictive maintenance, data analytics, and AI-based insights with secure data transmission and storage.
FAQ
The Docker-based intelligent edge container supports LoRa, Modbus, SNMP, and video, alongside the standard sensor and gateway stack.
The solution is designed for industrial customers in manufacturing, oil & gas, power, and water, as well as transportation.