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ExfConditionalMonitoring
ExfConditionalMonitoring
Release Date
5 Jan, 2025
Release Version
v1.0
ExfConditionalMonitoring is an advanced Industrial IoT and AI-driven solution designed to enhance operational efficiency, minimize downtime, and optimize maintenance strategies in industrial settings. By seamlessly integrating real-time data analytics with predictive insights, it empowers businesses to proactively monitor equipment health, detect anomalies, and prevent failures before they occur.
Key Features
  • Continuously tracks industrial machines and shop floor performance.
  • Uses AI-driven models to analyze trends and detect potential failures.
  • Seamlessly connects with industrial sensors and IoT devices.
  • Configurable alerts for temperature, vibration, pressure, and other critical parameters.
  • Intuitive UI for real-time visibility of machine health and performance.
  • Provides instant alerts on deviations and abnormalities.
  • Helps plan maintenance proactively, reducing unplanned downtime.
  • Collects and processes real-time machine health data.
  • Sends notifications via email, SMS, or dashboard alerts.
Specifications
Minimum Software Requirements
  • Operating System: Linux (Ubuntu 20.04 or later)
  • Java Version: 8+
  • Orchestration: Java SpringBoot
  • Containerization: Docker 20.10+ / Kubernetes 1.20+
  • Database: MongoDB
Minimum Hardware Requirements
  • CPU: 2 Cores
  • RAM: 4 GB
  • Storage: 100 GB free disk space
Resources
  • Docker Compose File: Link
  • Kubernetes YAML File: Link