supOS
Open-source IIoT platform for unified industrial data management
supOS Overview
supOS is a fully open-source Industrial Internet of Things (IIoT) platform designed to break data silos in industrial environments. It provides a unified namespace (UNS) that integrates multi-source data from edge devices, third-party systems, and databases. The platform is built for industrial applications with high scalability and compatibility with over 300 protocols. supOS standardizes data modeling using industry standards like ISA95 and Sparkplug B, enabling real-time data synchronization with processing speeds of less than 1M messages/s. It serves as a comprehensive solution for digital transformation in manufacturing and industrial settings, offering tools for application building, AI-powered analysis, and system integration. The platform is particularly valuable for enterprises facing challenges with vendor lock-in, outdated tech stacks, and high costs associated with commercial industrial software.
supOS Screenshot
supOS Official screenshot of the tool interface
supOS Core Features
Unified Namespace (UNS)
supOS provides a unified data foundation that integrates multi-source industrial data from PLCs, SCADA, MES, ERP and other systems. It supports over 300 industrial protocols and enables batch modeling with ISA-95 and Sparkplug B standards, creating a single source of truth for factory data.
All-in-One Industrial Platform
The platform delivers unified login authentication, workbench, and resource management. It enables seamless orchestration of applications and permissions across different systems and devices in an industrial environment.
Frontline App Builder
supOS includes extensive element libraries for drag-and-drop application development. It features a Generative UI tool that creates interfaces through natural language commands, making app development accessible without extensive coding knowledge.
AI Toolkit
The built-in AI operators with intuitive drag-and-drop interface allow seamless access to edge video streams for machine vision analysis. This unlocks powerful insights through machine learning for predictive maintenance, quality control, and process optimization.
Real-time Data Synchronization
Using MQTT's publish-subscribe mechanism, supOS ensures updates reach all subscribers instantly with processing speeds under 1 million messages per second, enabling real-time monitoring and decision-making in industrial operations.
supOS Use Cases
Digital Factory Transformation
Manufacturers use supOS to integrate legacy equipment with modern IIoT systems, creating a digital twin of their operations. This enables real-time monitoring, predictive maintenance, and data-driven decision making across production lines.
Asset Performance Management
Industrial enterprises deploy supOS to monitor equipment health, predict failures, and optimize maintenance schedules. The platform's AI tools analyze vibration, temperature, and other sensor data to prevent unplanned downtime.
Energy Management System
Facilities implement supOS to track and optimize energy consumption across industrial equipment. The platform integrates with power meters, HVAC systems, and production machines to identify savings opportunities and reduce carbon footprint.
Warehouse Automation
Logistics companies utilize supOS to connect warehouse management systems with autonomous mobile robots and IoT sensors. This creates intelligent tracking and optimization of inventory movement and storage.
How to Use supOS
Sign up for a free trial or download the open-source version from GitHub. The platform offers both cloud-based and on-premises deployment options depending on your industrial infrastructure needs.
Connect your industrial devices and systems using the platform's extensive protocol support. supOS provides tools for easy integration with PLCs, CNC machines, edge devices, and various industrial software systems.
Create a unified data model using the platform's standardized modeling tools based on ISA-95 and Sparkplug B standards. This establishes your single source of truth for all industrial data.
Build custom applications using the drag-and-drop app builder or Generative UI tool. The platform includes templates for common industrial applications like asset performance management and energy monitoring.
Deploy AI-powered analytics by connecting to the built-in machine learning tools. Set up predictive maintenance, quality control, or process optimization models using the visual operator interface.
Monitor and manage your industrial operations through the unified dashboard. The platform allows for real-time data visualization, alerting, and reporting across all connected systems and devices.