IoT-Based Vibration Monitoring and Analytics System

Project Summary

In response to growing demand for intelligent and remote condition monitoring, ICES Solutions has developed i-Analytics, an IoT-based vibration monitoring platform.

This system enables continuous, real-time data acquisition from vibration sensors across industrial equipment and transmits data to a secure cloud-based to dashboard.

Designed to support remote diagnostics, failure prediction, and maintenance planning, the platform gives users global access to machine health insights at their fingertips.

Location

ICES Solutions, Ahmedabad

Sector

Industrial Automation & Condition Monitoring.

Project Year

2025

Platform

NI LabVIEW + IoT Cloud

Challenges

In many industrial facilities, machinery is only inspected during scheduled maintenance or after failure—leading to unexpected breakdowns, production delays, and increased operational costs.

Traditional vibration monitoring is often limited to on-site diagnostics, with no continuous visibility or centralized alert system.

Solutions

i-Analytics is a robust, modular solution featuring real-time vibration data tracking and analytics.

Key features include:

  • Real-Time Monitoring of vibration velocity, kurtosis, temperature, and acceleration.
  • Multi-Axis Sensor Support (X, Y, Z) for comprehensive analysis.
  • Severity Indicators (Idle, Good, Satisfactory, Unacceptable) with dynamic visual feedback.
  • Cloud Connectivity for remote access.
  • Historical Trend Analysis and automated report generation.
  • Weekly Peak Demand Graphs and today’s top recorded events.
  • Smart Thresholds & Alerts for proactive fault identification.

Hardware

  • Vibration sensors.
  • Industrial edge computing unit (IoT gateway).

Software

  • Custom built in NI LabVIEW
  • Back-end MySQL database
  • Cloud interface with secure API access

Results

  • Enables predictive maintenance by analyzing deviations and trends.
  • Reduces machine downtime through early anomaly detection.
  • Provides remote access to machine health from any location.
  • Increases asset lifetime and reduces maintenance costs.
  • Enhances safety and productivity in plant operations.